Document 0Lbka01NBnZkEyd1K2bGXXE3m
IN THE UNITED STATES DISTRICT COURT FOR
THE NORTHERN DISTRICT OF ALABAMA
SOUTHERN DIVISION
ANTONIA TOLBERT, et al. ,
Plaintiffs,
CIVIL ACTION NO.
vs.
CV-01-C-1407-S
MONSANTO COMPANY;
PHARMACIA, INC., and
SOLUTIA, INC.,
Defendants
-X -X -X -X -X -X
DEPOSITION OF ROBERT G. KALEY, II VOLUME I,
taken pursuant to notice and stipulation on behalf of the Plaintiffs Antonia Tolbert, et al., in the Law Offices of Lightfoot, Franklin & White, The Clark Building, 400 20th Street North, Birmingham, Alabama, before Angela Abbott Blankenship, Certified Shorthand Reporter and Notary Public in and for the State of Alabama at Large, on May 1st, 2003, commencing at 1:30 p m.
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APPEARANCES
FOR THE PLAINTIFF:
ROBERT B. RODEN, ESQUIRE
Shelby, Roden & Cartee
2956 Rhodes Circle
Birmingham, Alabama 35205
FOR THE DEFENDANTS:
MICHAEL E. KELLY, ESQUIRE
Smith Moore, L.L.P.
P. O. Box 21927
Greensboro, North Carolina
27403
STIPULATIONS It is stipulated and agreed by and between counsel representing the parties that the deposition of ROBERT G. KALEY, II may be taken before Angela Abbott Blankenship, Certified Shorthand Reporter and Notary Public in and for the State of Alabama at Large, without the formality of a commission; and all formality with respect to other
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procedural requirements is waived; that objections to questions, other than objections as to the form of the question need not be made at this time, but may be reserved for a ruling at such time as the deposition may be offered in evidence or used for any other purpose by either party as provided by the Federal Rules of Civil Procedure.
It is further stipulated and agreed by and between the parties hereto and the witness, that the signature of the witness to this deposition is hereby not waived.
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1 INDEX
2
3 EXAMINATION
PAGE
4 By Mr. Roden....................................................................4
5 PLAINTIFFS' EXHIBITS:
PAGE
6 PX-1 - Map Entitled Zones and Drainage
7 for Remediation
135
9
10 11 ROBERT G. KALEY, II, of lawful 12 age, having first been duly sworn,
13 testified as follows: 14 THE COURT REPORTER: Will 15 this be usual stipulations? 16 MR. KELLY: Yes. 17 MR. KALEY: I want to read and 18 sign. 19 MR. RODEN: He wants to read
20 and sign, but other than that, yes. 21 EXAMINATION 22 BY MR. RODEN:
23 EXAMINATION
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1 BY MR. RODEN: 2 Q. Dr. Kaley, I guess, just for the 3 record, your name? 4 A. Robert George Kaley, II. 5 Q. And Dr. Kaley, your position with 6 Solutia is? 7 A. Director of Environmental Affairs. 8 Q. And you have held that since what 9 year?
10 A. Well, I have held the job at Solutia 11 since the creation of Solutia in 12 September of 1997. I had a similar
13 position in Monsanto since, I believe, 14 about 1994 or '95. 15 Q. Okay. And where are you physically 16 located? 17 A. In St. Louis. 18 Q. Have you been in St. Louis since the 19 inception of '94 of Monsanto?
20 A. I was with Monsanto long before '94. 21 I have been with Monsanto in St. Louis 22 since December of 1973 actually.
23 Q. Okay. In St. Louis?
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1 A. Yes. 2 Q. Have you ever worked in any other 3 facility or been anywhere other than St. 4 Louis? 5 A. Not located there for any length of 6 time. 7 Q. Your office, in other words? 8 A. Correct. Exactly. 9 Q. And who do you report to?
10 A. I directly report to Tom Bistline, 11 B-i-s-t-l-i-n-e. 12 Q. What's his position?
13 A. He's an attorney. 14 Q. Is he general counsel or in-house 15 counsel? 16 A. He's assistant general counsel, I 17 believe. 18 Q. And who would work under you? What 19 titles are people who work under you?
20 A. I have -- as Monsanto employees 21 there's a manager of -- I don't know 22 whether he's -- I think he's manager of
23 environmental technical support and then
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1 I have a person who's known as, I think 2 she calls herself a literature 3 specialist. 4 Q. What does she do? 5 A. She manages the literature that we 6 maintain on PCBs and other issues. 7 Q. Like the various articles concerning 8 health studies, etcetera? 9 A. Generally, yeah, a variety of
10 things. 11 Q. Now, the environmental manager of 12 technical support, you said worked for
13 Monsanto, is that - 14 A. I'm sorry. After thirty years, I 15 use them interchangeably. No, he works 16 for Solutia. He came to Solutia in '97 17 just like I did. 18 Q. Does anyone working under you or 19 above you work with or for Monsanto?
20 A. No. 21 Q. Does anyone above you or below you 22 work for Pharmacia?
23 A. No.
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1 Q. What exactly, and I know I have had 2 the benefit of your depositions and 3 transcripts, but tell me, since, in the 4 last two years, what exactly do you do 5 for Solutia. 6 A. Well, my primary responsibility is 7 to remain knowledgeable to serve as a 8 resource for issues around chemicals that 9 were formerly made by, primarily,
10 Monsanto, so primarily to remain 11 knowledgeable as a company support of 12 what we call Legacy Chemical, Legacy
13 issues. 14 Q. What is the purpose for Solutia 15 maintaining a support on Legacy 16 products ? 17 A. Well, there are a variety of issues 18 that I have to deal with. There are 19 numbers of regulations on the kinds of
20 products that I share compliance within 21 the company for. There are developments 22 in the science that we need to be
23 knowledgeable about.
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1 Obviously, there are issues
2 around litigation that I provide support 3 to the litigation staff on science and 4 technology issues. I provide science 5 inputs on remediation issues associated 6 with those chemicals. 7 We also have -- we still, 8 because we were the primary manufacturer 9 of polychlorinated biphenyls in the
10 United States, we still get calls from 11 former customers from outside the 12 company, and I handle those calls.
13 Q. Now, who do you deal directly with 14 at the Anniston Solutia facility? 15 A. Primarily Craig Branchfield. 16 Q. How do you spell that? 17 A. Branchfield? 18 Q. Yes. 19 Q. B-r-a-n-c-h-f-i-e-l-d.
20 Q. What's his position? 21 A. I believe he's manager of remedial 22 proj ects.
23 Q. And do you frequent the Solutia
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1 facility in Anniston? 2 A. I don't know what "frequent" means. 3 Sometimes more, sometimes less. I'm 4 probably there on an average of once a 5 month. 6 Q. What exactly is the facility 7 manufacturing today? 8 A. It manufactures a chemical called 9 biphenyl which is a component of heat
10 transfer fluids and it manufactures a 11 chemical called para-nitrophenol 12 p-h-e-n-o-1, which is a raw material for
13 analgesics. 14 Q. Prior to that, when was it exactly 15 that Solutia or, I guess, really the 16 Monsanto facility ceased producing PCBs 17 in the Anniston plant? 18 A. 1971. 19 Q. Now, do you, as director of
20 environmental affairs, keep up with the 21 various samples, the soil samples that 22 are being conducted by various groups in
23 the Anniston area?
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1 A. From a very high level viewpoint, 2 yes. 3 Q. What do you mean? 4 A. Well, I mean I see the results and I 5 think about what they look like and, you 6 know, overall and what they're telling 7 us, but I don't necessarily look at each 8 sample individually and try to determine 9 whether it makes sense with the one next
10 to it or things like that, but I have a 11 general overview, overknowledge of the 12 soil sampling results.
13 Q. Would that include Dr. Bonner's soil 14 sampling? 15 A. I am aware of those. I haven't 16 reviewed those in any great detail. 17 Q. Have you reviewed those in relation 18 to the Tord Case? 19 A. Not specifically.
20 Q. You have reviewed soil samples in 21 relation to the proposed settlement 22 agreement between EPA and Solutia?
23 A. Yes. Again, at a very high level,
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1 yes. I mean, I'm aware of, generally, 2 the types of samples that have been 3 taken, where they have been taken, the 4 general levels, a general overview of the 5 distribution of those levels. 6 Q. Can you tell me, with respect to 7 that agreement -- I understand the, I 8 guess the target level is -- is it ten 9 parts per million? Is that the target
10 level for remediation? 11 A. Well, okay, the current consent 12 order under which we are operating has
13 what they call a removal level of ten 14 parts per million with a "M", so 15 properties which have PCBs in excess of 16 ten parts per million determined by a 17 five point composite sample are subject 18 to removal by Solutia under that consent 19 order.
20 Q. And a five point composite sample 21 meaning taken in five different areas? 22 A. Yes. Basically, they divide the
23 area to be sampled into quarters and they
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1 take a sample in the middle of each 2 quarter and at the conjunction of those 3 four quarters in the middle and add those 4 together and analyze that as a single 5 sample. 6 Q. What is the current situation with 7 that sampling? 8 A. With the sampling, I believe we have 9 sampled two to three of the areas, main
10 areas that we have agreed to sample under 11 the consent order. In that sampling, we 12 have identified something like
13 twenty-five or twenty-eight properties 14 that had PCBs above the ten parts per 15 million level and we have cleaned up, I 16 believe, twelve or thirteen of those 17 properties. 18 Q. Tell me about the area, and I know I 19 have seen it, but I'm not sure I
20 understand the areas that y'all have 21 agreed to that there has been an 22 agreement to sample.
23 A. Well, basically, when the
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1 discussions with the EPA were going on,
2 they had taken a map of Anniston, and 3 somehow, and I don't know their logic, 4 divided it into areas. I think they were 5 numbered one, two, three, four, five, 6 six. One of them is labeled "F" as in 7 Frank, and whatever their rationale was 8 for those particular divisions, we had to 9 sample those in some priority, the ones
10 closest to the plant first, the ones 11 closest to drainage pathways, and then 12 moving, as we moved farther away from the
13 plant, those had lower priority. 14 Q. Is there a dimension involved in 15 that; that is, an area of dimension? Is 16 there a one-mile radius, two-mile or 17 five-mile or ten-mile? 18 A. No. 19 Q. Is there any radius involved at
20 all? 21 A. No, I don't believe so, not that I'm 22 aware of anyway.
23 Q. Who decided the areas, the EPA?
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1 A. Yes. 2 Q. Did y'all have any input into that? 3 A. Not really, no. 4 Q. Do the areas include properties 5 outside what is called the flood plain? 6 A. Yes. 7 Q. Is it any particular distance from 8 the flood plain? 9 A. Well, the distance is varied
10 depending on -- I mean it's not -- the 11 areas are not set by okay, here's the 12 flood plain and you have to go half a
13 mile past that or anything like that. I 14 really don't know what their -- there's 15 nothing, no rhyme or reason that -- I 16 have never looked for one, but I don't 17 see one obviously. 18 In fact, part of our strategy, 19 our sampling strategy is to sample in a
20 given area, sample the areas in and close 21 to the flood plain first, moving away 22 from that to see if there's PCB levels
23 and if we get to a point where we're no
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1 longer seeing PCB levels on a statistical 2 basis, we may not have to continue to 3 sample the rest of that area. We may 4 move to another one of those areas where 5 there are more likely to be PCBs found, 6 if that makes any sense. 7 Q. Yes, it does. But that would be if 8 the EPA agreed with that? 9 A. Absolutely, yes. We have to provide 10 to the EPA our statistical analysis to 11 try to justify such a decision and then 12 they have the final decision and they 13 have every right to say no, keep 14 sampling. 15 Q. What I'm asking, Doctor, is this: 16 assume that there are people that I 17 represent outside the flood plain. 18 A. Yes. 19 Q. How can I assure them that they are 20 going to be quote "tested" for PCBs, and 21 if it exceeds the removal level, that it 22 will be cleaned up? And that's why I'm 23 asking the question, and I'm not sure
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1 anybody can answer that question. 2 A. Well, I'm not sure they can either. 3 I mean the first step, obviously, would 4 be to -- there is a map that exists. 5 Q. And I may have it somewhere. 6 A. I'm sure you do, because if you got 7 a copy of the consent order, I'm sure you 8 do have it, that lays outs those 9 particular areas. The first step would 10 be to determine where those people lived 11 in priority -- within those areas. 12 If they live within those 13 areas, then they are certainly, more 14 likely than not, to be sampled. If they 15 are outside of those areas, under the 16 current consent order under which we're 17 operating, I think there's less 18 likelihood that they would be sampled. 19 Q. Okay. Do you know whether or not
20 the agreement to, or the proposal for 21 those areas was determined by any factors 22 that were used to determine that? Do you
23 have any knowledge of that?
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1 A. Okay, now, let me try to clarify 2 something. You keep talking about a 3 proposal. I'm talking about the consent 4 order under which we are currently 5 operating. 6 Q. Okay. 7 A. Now, there is a proposed consent 8 decree which is a different animal, so 9 I'm talking, and I hope you are, about 10 the consent order under which we are 11 operating. And my understanding, as I 12 said, I don't really know how that was 13 conceived. But my understanding is it 14 was based on sampling that the EPA had 15 done in the Anniston area and roughly 16 encompassed those areas where, in their 17 sampling, they found some properties that 18 had PCBs on them. 19 Q. Now, what is the difference between 20 the order in which you are working and 21 the consent proposed as far as the area 22 is concerned that would be sampled? 23 A. Well, as far as I know, and I'm not
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1 the expert on the details. My 2 understanding is primarily with regard to 3 residential sampling. I believe the 4 areas are roughly the same. The 5 difference would be on an established 6 cleanup level and which properties and 7 the number of properties that would be 8 required to be cleaned up. 9 Q. What would the established cleanup 10 level under the proposal -11 A. Under what they call a streamlined 12 risk assessment that EPA has carried out, 13 the cleanup level would be one part per 14 million. Any property with a composite 15 sample above one part per million would 16 be required to be cleaned. 17 Q. But the areas would still be the 18 same? 19 A. That's my thought as I sit here. I 20 don't know that for sure. Now, part of 21 the proposed consent decree is additional 22 investigations leading away from our 23 plant, and that's certainly areas to be
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1 identified that were impacted by PCBs. 2 Those would be sampled. 3 Also, the consent decree, the 4 current consent orders address only 5 residential properties. The consent 6 decree would address other kinds of 7 properties; public access properties, 8 things like that. 9 Q. Schools? 10 A. Yes. Basically, any property in the 11 area. 12 Q. And, again, in the areas proposed in 13 the sampling? 14 A. Yes, I believe that's true, although 15 I'm not -- please, don't hold me to 16 exactly that, but it's basically that 17 general area. 18 Q. Tell me this: who was involved or is 19 involved, I should say, with working with 20 the EPA to come up with the proposal? 21 A. Primarily Craig Branchfield from 22 Solutia. I have been involved in some of 23 the discussions, but he's the man on the
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1 ground. He's the one that understands
2 what -- I mean, the consent decree talks 3 about the Anniston PCB site under terms 4 that are EPA's terms for defining a site, 5 so I don't know that it's exactly the 6 same as a consent order, but I believe 7 it's generally the same. 8 Q. Okay. Can you tell me why the 9 removal level was changed from ten parts 10 percent million to one part per million? 11 A. Well, the emergency removal action 12 or level was primarily determined by EPA 13 by reasons I don't know to believe that 14 was the level that needed to be cleaned 15 up immediately. The one part per 16 million, as I said, is a more robust 17 number, I'll use that term, determined by 18 the streamline risk assessment that was 19 done by EPA, so it's more a risk-based 20 cleanup level. 21 Q. What do you mean by streamline risk 22 assessment? 23 A. Well, it was primarily done without
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1 a lot of it -- it was based on the data
2 that the EPA had available to them at 3 this point rather than requiring a lot of 4 additional sampling to determine level, 5 so that's primarily the streamlined 6 nature of it. 7 Q. When you say risk assessment, what 8 exactly do you mean? 9 A. Well, a risk assessment is, in EPA's 10 mind and the contractors that do them for 11 EPA and the contractors that do them for 12 us is a very formalized process under 13 which, basically, it's a comparison of 14 sampling results to numbers that the EPA 15 or someone has generated to address the 16 theoretical risk associated with exposure 17 to those levels. 18 Q. Are there risks associated with 19 exposure to certain levels of PCBs? 20 A. Well, in the view of risk 21 assessment, there is, by definition, 22 because what the EPA, primarily, and what 23 they have done in this case is take
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1 results from animal studies and, 2 primarily, these are based on results 3 testing whether PCBs cause cancer in 4 animals, and this is for any chemicals, 5 not just PCBs, and determine the 6 concentration in which that happens in 7 animals, apply a bunch of safety factors 8 to account for potential differences 9 between animals and humans, potential 10 differences within animals, etcetera, and 11 then come with a number which, in their 12 view, is protective of human health, so 13 they come up with this, in this 14 particular case it's called a cancer 15 slope factor. They apply that number to 16 a concentration to determine, in their 17 view, whether there is some theoretical 18 risk. The true risk, and EPA 19 acknowledges this, could be zero in the 20 risk in the way you and I think about 21 it. 22 Q. Right. 23 A. But their theoretical risk is what
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1 determines these cleanup levels. 2 Q. Well, obviously, the issues here 3 are, in fact, PCBs carcinogens. Do they 4 cause cancer? 5 A. Yes. 6 Q. And I think there's a big 7 disagreement with that. I don't think 8 you and I would agree with that. 9 A. I believe we would disagree in 10 humans. I don't think we would disagree 11 in animals, but I think we would disagree 12 whether PCBs cause cancer in humans, yes. 13 Q. And I assume you are familiar with 14 the various clinical studies, if you 15 will, that have tried to relate PCBs with 16 cancer and other problems? 17 A. Yes, I am. 18 Q. What is it that can Solutia does 19 agree, if they would, that PCBs causes at 20 certain levels? 21 A. We believe that PCBs, at high levels 22 of exposure in humans, are associated 23 with dermal skin effects, possibly
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1 including something called chloracne. I
2 personally don't necessarily agree with 3 that, but that's, you know, the company 4 has acknowledged that that's a 5 possibility. And then also with 6 transient elevations in some liver 7 enzymes, those have been reported fairly 8 consistently in some studies. 9 Q. And do you have any understanding, I 10 guess, of what the transient elevations 11 in liver enzymes, what risk factors that 12 would cause? 13 A. My understanding is probably nothing 14 specifically. I mean, when they have 15 been reported, they seem to go away if 16 the exposure is reduced or eliminated, 17 and in those populations, you don't see 18 any evidence of further progression to 19 frank disease. 20 Q. Is there any difference in risk 21 exposure depending on the chlorination of 22 the PCBs ? 23 A. Well, again, I think if you look at
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1 animal studies, there seems to be, and
2 certainly, if you look at cancer studies 3 specifically where most of the study has 4 been focused, there does seem to be an 5 appearance that the more highly 6 chlorinated PCB mixtures are more potent 7 carcinogens in animals than the lower 8 chlorinated mixtures. But, again, we 9 don't see health effects in humans 10 particularly, so that we can't really 11 make that kind of assessment on the human 12 studies. 13 Q. What is the -- what happens when you 14 heat up the PCBs as far as the 15 chlorination of the PCBs? Does it do 16 anything to change the particular 17 chlorination of them? 18 A. Well, if -- I guess there's two ways 19 to answer that. One is if you look at an 20 individual PCB molecule, heating it will 21 not change the amount of chlorine on that 22 molecule by itself. I mean, if you're in 23 a reaction vat and you have chlorine in
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1 there and something to promote the 2 reaction, then, obviously, that's how you 3 make PCBs, so you will continue to add, 4 but if you have got a product sitting 5 here on the table and started heating it 6 up, then there's nothing on an individual 7 molecule that's going to change, as I 8 said, the numbers of chlorines on that 9 individual molecule. 10 If you look at the mixture as a 11 whole, if you heat a vat or a jar of PCBs 12 and start raising the temperature, then 13 the more lower chlorinated materials may 14 very well evaporate into the atmosphere 15 and so the mixture as a whole may be 16 shifted to higher chlorination, but 17 that's only because you're, by heating 18 them, you're removing them to more 19 volatile materials. 20 Q. You're transferring them? 21 A. Right, you're taking them out of the 22 mixture here in the vat and you're 23 putting them in the atmosphere so that by
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1 -- you know, that leaves the more highly 2 chlorinates ones in the vat, but it 3 doesn't change the chemistry of an 4 individual PCB molecule by simply adding 5 heat, and that's why they're good. 6 That's why they were used in many of the 7 applications they were used is because 8 they are stable under conditions of 9 heating. 10 Q. Well, as I understand, just from my 11 limited knowledge, that the PCBs that 12 were manufactured at the Anniston plant, 13 the highest number of, as I understand, 14 the highest number chlorinated was like 15 seven or eight or was it even that high? 16 A. Well, I mean, I know you don't want 17 a chemistry lesson or a PCB manufacturing 18 lesson, but all the PCBs were very 19 complex materials, very complex mixtures 20 of materials, and as you go through the 21 product sequence from 1221 to 1242 up to 22 1260 or 1268, then the number of 23 chlorines on the molecules in those
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1 mixtures tended to increase so by the 2 time you got up to 1268, certainly, there 3 were individual PCB molecules with nine 4 or up to ten chlorines on those rings in 5 that product. 6 Q. Okay. 7 A. But now, there was no product that 8 was all what we call decachlorobiphenyl, 9 the highest biphenyl with ten chlorines 10 on a ring. We actually considered making 11 that and some people did make that as a 12 product, but that was a white solid as 13 opposed to many of the other materials. 14 That was a pure single compound, but that 15 material itself was a component of some 16 of the other mixtures and, most notably, 17 would have been a component of Aroclor 18 1268 . 19 Q. What was the majority of the PCBs 20 manufactured in Anniston as far as the 21 number of chlorines? 22 A. Well, that's a difficult question. 23 We really don't know the answer to that
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1 question because we didn't manufacture 2 PCBs by the number of chlorines on the 3 ring. We manufacture PCBs by these 4 complex mixtures with average 5 chlorination. 6 Now, my understanding is that, 7 by far, the most -- the product of most 8 volume in Anniston was Aroclor 1242 and 9 that product is primarily biphenyl 10 molecules with three and four chlorines 11 on ring so by extrapolation, you know, 12 pushed to an answer, I would say probably 13 three, four, maybe five chlorines on a 14 ring was the most, but there would have 15 been a distribution including all the 16 possible levels of chlorination. 17 Q. What about the still bottoms or the 18 by-product of the manufacturer of PCBs, 19 did they have any more chlorine -- number 20 of chlorines in them than the mixture 21 itself? 22 A. Yes, I would think, in most cases, 23 that would be a safe assumption because
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1 of what distillation is. Distillation a 2 process by where you basically take a 3 mixture to still off or remove the 4 lighter materials in that mixture. In 5 this case, it would be the less 6 chlorinated PCBs leaving the more highly 7 chlorinated PCBs in that still bottom 8 along with a variety of other materials, 9 but I would expect from any given 10 process, that the still bottoms from the 11 distillation, you know, the products from 12 the distillation of Aroclor 1250. For 13 example, the still bottoms would have a 14 higher level of chlorination than 1254 15 itself by some unknown amount. 16 Q. When we talk about still bottoms, 17 and I don't know the process, but are we 18 talking about a large vat of some sort 19 that these mixtures are being made? 20 A. Primarily, yes. 21 Q. How large a vat? 22 A. You know, I don't really know the 23 answer to that. I've never gone in and
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1 looked at the size of the vats. But it's 2 primarily a large reaction vessel. 3 Q. And as far as still bottoms, can you 4 quantitate that for me as far as how much 5 would be in a vat? 6 A. Again, I don't know. 7 Q. Do you know what was done with the 8 still bottoms? 9 A. Primarily, once that vessel -- the 10 reaction that completed, my understanding 11 is that they were drummed and put in the 12 landfill at the site. 13 Q. Were there any of them washed into 14 the sewer system? 15 A. Not that I know of. 16 Q. Or drainage system? 17 A. Not that I'm aware of. 18 Q. Does Solutia -19 A. I mean they wouldn't be washable. 20 They're very viscous, hard, solid. 21 They're really not the kind of thing you 22 can move with a hose or something like 23 that. It wouldn't make any sense.
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1 Q. Kind of like burning something on 2 the stove and trying to scrape it out? 3 A. Yes, exactly. It's basically the 4 consistency of road tar, I mean very much 5 the same. 6 Q. Does Solutia admit or agree that 7 there have been PCBs that have escaped 8 from the Solutia facility? 9 A. Yes, I think we would agree that 10 there has obviously been, in drainage 11 pathways, some PCBs have moved from our 12 facility to off-site, yes. 13 Q. Is there any agreement as to the 14 quantitative amount? 15 A. I don't believe that's 16 determinable. I don't know who I would 17 be agreeing or disagreeing with. I've 18 never heard an amount, so, you know, I 19 don't know. 20 Q. Well, you probably, like me, have 21 seen documents that talk about several 22 pounds per day and that type thing? 23 A. Right.
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1 Q. Is that something that we can agree 2 on or is that something that's still in 3 dispute? 4 A. Well, I think we can agree that 5 those documents exist and the numbers are 6 there. I think, knowing the state of 7 analytical chemistry at the time, there 8 is some uncertainty around those numbers, 9 but I think they certainly stand for the 10 proposition that PCBs were in those waste 11 waters. 12 Q. Okay. When you say there's a 13 certain -- the analytical chemistry was 14 not available at the time, what do you 15 mean? 16 A. Well, I'm just talking about the 17 uncertainties in the measurement whether, 18 you know, if you're getting -- measure 19 one hundred parts per million, is that 20 because that sample really has one 21 hundred parts per million or the sample 22 before it had one thousand parts per 23 million and it carried over into that
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1 sample or a number of things. 2 It is just like everything else 3 that we deal with on a daily basis, the 4 technology and abilities to do analyses 5 with PCBs have gotten much better over 6 the past three decades or four decades 7 that we have been using, so there's just 8 a lot of uncertainty around those 9 numbers. 10 Q. Do we know or does Solutia know to 11 the point where they could admit how 12 those, whatever the number is, PCBs 13 escaped or got out of the facility? 14 A. I think we have -- I mean starting 15 in 1968, we began to look at that very 16 question; are they in there and how are 17 they getting out, and I think we have 18 some understanding of how some of them 19 got out at least. 20 Q. When did Monsanto and Solutia start 21 trying to determine the number or how 22 much was escaping into the environment? 23 A. Well, I believe we started -- I
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1 think you probably have been through the 2 history, but the report of PCBs in the 3 environment really began back in late 4 1966 by some Swedish researchers and, you 5 know, there was a learning curve that 6 Monsanto and others had to get on and 7 climb to and it took us a couple of years 8 to get on that learning curve and develop 9 the analytical techniques, but I believe, 10 if I've got my numbers right, by '68, we 11 were actually taking samples in Anniston 12 and by '69, you know, waste samples and 13 water samples and by '69, we were 14 actually able to start making some of 15 those kinds of measurements that are 16 reported on the documents that you're 17 referring to. 18 Q. Where were they coming from? How 19 were they getting out? What means -20 A. I think, primarily, there were 21 several ways. One was -- I think there 22 was a waste stream from that process that 23 was primarily -- hydrochloric acid is
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1 generated when PCBs are manufactured in a 2 gaseous state, then it's bubbled through 3 water to make it liquid hydrochloric acid 4 and some of that was discharged as a 5 waste through the plant through what I 6 think are called the limestone beds or 7 limestone pits where the acid was 8 neutralized and there's some PCB 9 carryover in that. 10 Q. Right. 11 A. There's certainly reports, you know, 12 if they were spilling in the department 13 that a hose or washing would be done with 14 detergent and that would mobilize the 15 PCBs into basically the storm water 16 drains at the plant. It really wasn't a 17 waste stream as much as it was storm 18 water and process water. 19 Q. So waste stream and storm water, 20 you're saying that's synonymous, are you 21 not? 22 A. Well, no, they're not synonymous, 23 but there wasn't -- it wasn't a waste in
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1 the terms of a chemical or organic waste
2 that you think about coming out of a 3 process. I mean it was primarily water 4 and it was either this hydrochloric acid 5 coming from the scrubber's process or it 6 was storm water moving things along or 7 cleanup water, but those kinds of waters 8 those, what they call noncontact waters, 9 and the storm waters were mixed in the 10 sewers at Anniston so all that was going 11 out at the same point. 12 Q. Is there any agreement, I guess, 13 with Solutia that any of the landfills 14 had escapes or exits of the PCBs from 15 them? 16 A. Well, when we became aware of the 17 situation in '93 and started measuring 18 the trace levels of PCBs in the storm 19 waters, yeah, the run-off waters from 20 those landfills finding, you know, a part 21 per billion or a few parts per billion, I 22 mean, those kinds of levels were being 23 carried away by soil erosion or soil
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1 pickup from the landfill, so to the
2 extent that those trace levels were being 3 released, I think that we certainly agree 4 there. I see no evidence that there were 5 any large quantities of release from 6 those landfills at any point in time. 7 Q. Even prior to ' 93? 8 A. Even prior to ' 93, right. I think, 9 you know, as -- when we closed the 10 process and basically sealed those, the 11 cells where PCBs had been disposed of, 12 largely, I believe that probably shut off 13 most, if not all, other than these trace 14 levels of discharges from the landfills. 15 Q. You have two landfills; correct? 16 A. That is correct. 17 Q. And each landfill has a number of 18 cells? 19 A. Well, certainly, the south landfill 20 has a number of cells. I'm not so sure 21 about west. It may have been a single 22 cell landfill. I don't know as much 23 about that.
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1 Q. And you're not sure? 2 A. I mean, there's clearly a west 3 landfill and it had at least one cell, 4 but I don't know that there were a number 5 like there were in the south landfill. 6 Q. And when you say you basically seal 7 those, and that was in what, the 8 seventies? 9 A. Well, the PCB landfill was generally 10 closed in early 1972, 1973, but as we got 11 into what was called the RCRA, the 12 R-C-R-A process, the Resource Recovery 13 and Conservation Act then we had to take 14 additional steps on all of the landfills, 15 as did all chemical manufacturers, to be 16 sure that they were brought up to 17 compliance, so in the late 1980s, 18 additional work was done on closing those 19 landfills, so my confidence increases as 20 we move through those various stages. 21 But certainly, by the time of the RCRA 22 closure in '98, I believe there was, 23 other than just the little bit of soil
40
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1 runoff, probably no significant 2 contribution to PCBs off the plant site 3 or off the landfills, certainly. 4 Q. But is there anything in the 5 documentation that measured the numbers 6 of PCBs escaping from either of those 7 landfills prior to '89 or prior to, you 8 said '93 earlier, but any time in the 9 eighties ? 10 A. Well, we always had a storm water 11 permit when the storm water permit went 12 in so I think we have some, probably not 13 extensive, but some sparse data on storm 14 water. We were also beginning in the 15 early-1980s and continuing monitoring 16 groundwater, water going out from under 17 the landfills, and, again, there are data 18 through that early-1980s, well mid- to 19 late-1980s time frame that indicates that 20 PCBs were not leaving by the groundwater 21 route either, so there are some, they are 22 not extensive, but there are some data 23 that stand for those propositions.
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1 Q. When was it that you had to get the 2 storm water permits? When would that 3 have been? 4 A. I'm sorry, I don't know the answer. 5 I don't know when the MPDS process really 6 went in. I think it was the mid-1970s, I 7 think, but don't hold me to that. 8 Q. Okay. In reading your testimony, 9 Dr. Kaley, in the Abernathy case, you
10 made mention when asked the question
11 about human health studies that you did 12 not feel a study is necessary nor 13 appropriate based on the understanding of 14 the size of the population and you go on 15 to say that to do an appropriate 16 epidemiology study, it takes thousands of 17 people and you don't believe that there 18 are thousands of people exposed in the 19 Anniston community. Does that refresh
20 your memory about it?
21 A. I believe that's a fairly -- I mean, 22 I remember that question and I'm sure 23 that's what I said, if you have that
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1 written down, and I think that's probably 2 true. 3 Q. And I believe you further say that a 4 lot of this was based on the blood levels 5 you had seen? 6 A. Yes. 7 Q. And I guess, in that particular 8 course, was the number of those 9 plaintiffs in the Abernathy case which, I 10 believe, is like thirty-five hundred or 11 so. 12 A. Yes. 13 Q. Have you seen other blood levels 14 other than those? 15 A. Yes. 16 Q. What blood levels have you seen? 17 A. Well, seen generally -- I mean, 18 again, I haven't spent a lot of time on 19 the details, but I've seen the blood 20 level data from the Tolbert litigation. 21 Q. Does that change your mind, in any 22 way, with respect to a need to have a 23 health study or what they call, I guess
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1 in this testimony, a human health study?
2 A. No. I think the distributions are 3 generally -- I mean, you see, you know, a 4 large proportion, a majority of the 5 people are nondetects or certainly right 6 at the level of detection. You see 7 another group of people who are what 8 would be called normal background levels 9 throughout the United States, and then 10 there is a smaller group of people that 11 do have current or past exposure based on 12 the blood levels. 13 But again, compared to you 14 really need to have a epidemiological 15 study to look for whether exposure to 16 PCBs is associated with causes of death, 17 it really isn't -- you know, I guess it's 18 really what you're talking about. If 19 you're talking about an epidemiology 20 study or mortality study, you know, I
21 mean, you have to have large numbers of 22 people who have died that birth
23 certificates can be obtained from and I
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1 think that would be very difficult in the 2 Anniston area to do that kind of study. 3 If you were just doing a survey of what 4 levels people have and whether they have 5 complaints, that's a whole different 6 study and those are fraught with 7 difficulties because all of us have 8 health effects and we can attribute them 9 to a variety of different things. 10 That's why mortality studies 11 are typically are done to determine those 12 associations because they are kind of 13 hard and fast. You had a person, that 14 person died of something, and you know 15 what it was, and, you know, the 16 difficulty there is you don't always know 17 what the exposure was, so it's just going 18 to be very difficult to do anything 19 that's going to be meaningful in that 20 population. 21 Q. You're differentiating a mortality 22 epidemiology study with a large health 23 study?
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Kaley, Robert; Tolbert
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1 A. Right, what I would call a morbidity 2 study, right. 3 Q. And you're saying that a mortality 4 study is more appropriate than a 5 morbidity study? 6 A. Well, I think it's more appropriate 7 to a make a final determination on 8 whether, for example, PCBs are associated 9 with human cancer or other major 10 diseases. 11 Q. What is the level that you would 12 consider quote "nondetect" unquote or 13 what is the level that is considered 14 nondetect? 15 A. Well, that depends on -- I don't 16 know. Without being flip, that depends 17 on the laboratory and what their 18 capabilities are. I mean, I think most 19 of the detections in the samples I have 20 seen from, you know, whatever litigation 21 have been, you know, three parts per 22 billion in blood and five parts per 23 billion in blood, but certainly, we know
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1 from literature and where you take larger 2 blood samples and do a lot more work-up, 3 I mean, you can measure clearly in the 4 parts per billion and parts per trillion 5 in blood, so your question is really an 6 analytical question if that's what you 7 really meant. 8 Q. Well, I guess what I'm trying to 9 determine is what does Solutia consider 10 as being nondetect as far as parts per 11 billion in the blood? 12 A. Well, again, without being flip, 13 it's whatever the laboratory that did the 14 analysis reports as nondetect. I mean, 15 we don't have an opinion on what that 16 number is. It's what the laboratory can 17 or can't do. 18 Q. What is the normal background 19 levels ? 20 A. Okay. That's a different question. 21 Q. Right. All right. 22 A. As I sit here today, I would say 23 that number one, you have to look at --
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1 there's two issues; what is the average 2 background level and what is the range of 3 people not otherwise exposed to PCBs that 4 still have PCBs measure inside their 5 blood. I think the average is probably 6 in the maybe three-to-six-part per 7 billion range, so if you looked at all 8 the studies of quote "unexposed people" 9 and averaged all their values, you would 10 see, you know, an average of three to six 11 parts per billion. That average, though, 12 is made up of people who have lower 13 levels and higher levels. 14 Q. All right. 15 A. Okay. Those higher levels, I think, 16 you know, I mean, the published data say 17 those higher levels go up to maybe twenty 18 parts per billion at the ninety-five 19 percent level. In other words, 20 ninety-five percent of the population has 21 levels twenty parts per billion or below. 22 I think, you know, the ATSDR is 23 trying to make a case for it, and I think
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1 there's probably some slight 2 justification that that number may be 3 somewhat lower now, but we don't have the 4 data and we don't know the answer to 5 that, so as I sit here today, I would say 6 that people with up to twenty parts per 7 billion would be considered within the 8 background range. 9 Q. And obviously, there's a difference 10 of opinion about that or is there? 11 A. I don't know whether there is or 12 not, no. I mean, I think there are 13 people out there who would disagree with 14 me, but as far as being able to document 15 that on either good scientific results or 16 what studies have been done, I don't 17 think there's anything that really -- I 18 mean, if the literature said different 19 than what I say, I would go with what the 20 science says, but I just don't think it's 21 out there now. 22 Q. The ATSDR's report, it mentions a 23 figure in there, and I may be able to
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Kaley, Robert; Tolbert
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1 find it -- well, the tox profile; are you 2 familiar with the tox profile? 3 A. Yes. 4 Q. They talk about mean serum level? 5 A. And that's what I was calling 6 average. 7 Q. Is that the average? 8 A. Yes, mean and average meaning the 9 same thing. 10 Q. So average, when you say average 11 background being three to six parts per 12 billion, but then when you look at the 13 total number, you're saying that the 14 higher end of that is twenty? 15 A. Up to twenty, yes. 16 Q. Okay. And does that -- do those 17 differentiate between those who have been 18 exposed and those who haven't been 19 exposed? 20 A. Well, all of us are exposed. I mean 21 -- and some of us without occupational 22 exposure or without any other 23 identifiable source of exposure that you
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1 or I could point to and say oh, there's
2 where I got my PCBs, that range goes up 3 to twenty and maybe it's because a few 4 more fish, maybe it's because we eat more 5 beef, you know, and for whatever reason, 6 the beef we ate may have lower or higher 7 levels than someone else, so there's a 8 lot of reasons that could explain that 9 variation in the human population. You
10 know, maybe my body is better at getting 11 rid of them than your body. Maybe I'm 12 older. If I'm older, my levels are going
13 to be higher because, you know, one of 14 the properties, unfortunately, of PCBs is 15 they are not easily eliminated, or some 16 of them aren't, from the human body, so 17 as you get older, that continuing input 18 of PCBs tends to build up in your body, 19 and that's well documented.
20 So there are a lot of reasons
21 to explain that range, but I guess what
22 I'm saying and trying to communicate is
23 that if we are going use that magic
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1 twenty number, you can have nineteen or 2 twenty and still not be quote "exposed" 3 and you're still in normal background. 4 You don't have to go around and say okay, 5 I've got more in my blood than the next 6 guy, how did I get them, or where did 7 they come from because it's all within 8 that normal range. 9 Q. Well, when the Tox Profile says that 10 the mean PCB serum levels range from 11 point nine to one point five parts per 12 billion in recent years in individuals 13 who did not have diets high in fish from 14 waters contaminated with PCBs; is that 15 what you're telling me? 16 A. Yeah. I'm using -- I think there's 17 two qualifications. One is they're 18 qualifying recent years, and you think 19 with all the attention on PCBs, you think 20 there would be tons of data. There are 21 not tons of data. There are a few 22 studies here and there. For the purpose 23 of this statement, and I don't know
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1 exactly how many they looked at. We 2 could go find out. I think they looked 3 at two or three very recent studies and 4 there's no doubt the levels in the 5 environment are going down, okay. 6 Q. Right. 7 A. So my number, my three to six is, 8 what I'm saying, is the same as their 9 point nine to one point five. I don't 10 think there's a lot of difference in 11 their -- a factor or two is not a big
12 difference in my mind, and I'm looking at
13 a broader view. I'm not looking at the 14 two most recent studies. I'm saying over 15 the last decade or last fifteen years, if 16 you look at all those studies, so I don't 17 disagree with this, nor do I think it's 18 very different from what I'm saying, but 19 that's, again, that's the average.
20 That's the mean. That's my -- their one 21 point five is my three number. They are 22 still made up with people that could go
23 up to tens or twenties that help make up
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1 that average. 2 Q. And there are people, then, you say, 3 that have twenty parts per billion in the 4 general population? 5 A. Certainly, to the data we have 6 available to us, that still seems to be a 7 reasonable number. 8 Q. And that might be because they were 9 more highly exposed than those who have 10 one point five? 11 A. And through their normal living 12 without any unique source of that 13 exposure, yes. 14 Q. Would you agree that a person who 15 has currently three parts per billion had 16 more, assuming he was living, had more 17 fifteen years ago than he has now? 18 A. No, I wouldn't. I absolutely 19 disagree with that. 20 Q. Why is that? 21 A. Why should they? I mean, if I've 22 got three now, I would say fifteen years 23 ago, my number was lower because, as I
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1 explained, we're continuously exposed to 2 these low levels of PCBs and as we get 3 older, our number tends to increase. 4 Q. So you don't agree that you can take 5 a person now that has five parts per 6 billion and extrapolate fifteen years 7 back and determine how much he had in his 8 blood serum fifteen years ago? 9 A. I absolutely say you cannot do that. 10 A person within in the normal background 11 range, you can't do that with, absolutely 12 not, because you have to correct for that 13 background that you have and I have and 14 Mike has and everybody has. You have to 15 correct for that background. 16 Q. Is that true for people in Anniston? 17 A. It's true for anybody that has PCB 18 levels in the background range, yes. 19 Q. And those that you have seen in 20 Anniston with high levels and when I say 21 high levels, say fifteen or twenty parts 22 per billion. You may not consider that 23 high, but let's assume that to be the
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1 number. 2 A. Okay. 3 Q. Do you agree that those people are 4 at a higher risk for a disease or problem 5 than one in Anniston that has only one 6 point five parts per billion? 7 A. The answer to that is no for a 8 number of reasons. 9 Q. Tell me those reasons.
10 A. Number one, I think the reason is 11 that, I mean, we already talked about a 12 potential disagreement, but certainly,
13 the view that I hold that PCBs are not 14 associated with long-term serious health 15 affects with the potential exceptions of 16 dermal effects and transient liver 17 effects. So I don't necessarily believe 18 -- I don't believe, at whatever level 19 your PCB level is, that you are at real
20 risk, not theoretical, not regulatory 21 risk, at real risk of developing disease 22 as a result of those blood levels, okay,
23 so that's number one.
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1 And then going, you know, even
2 further back than that, all of those 3 levels are very low background levels 4 whether it's one or fifteen or twenty and 5 I just don't believe there's any risk 6 associated that. 7 Q. They are low background levels 8 within - 9 A. I mean, they are levels within the
10 background range. 11 Q. The general population? 12 A. Yes.
13 Q. You don't mean -- when you say 14 background levels, you don't mean 15 background levels as opposed to like 16 fifteen years ago, we're not using that? 17 A. Well, I don't think it matters. 18 Q. Okay. 19 A. I think people that had fifteen or
20 twenty parts per billion fifteen years 21 ago where it was more likely that they 22 were in the normal background range, I
23 don't think they were at any more risk
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1 than the people that have one or two or 2 three now because I don't believe there's 3 any risk associated those kinds of blood 4 levels. 5 Q. Is there a level that you would 6 consider a risk to a human to develop a 7 disease, if you will, from exposure from 8 the levels that they have in their blood? 9 A. Okay, I don't -- based on my
10 understanding of the human literature 11 where we have seen levels up to, you 12 know, twenty-five hundred and three
13 thousands parts per million in some of 14 these workers, twenty-five hundred parts 15 per billion or two to three parts per 16 million in blood, we have not seen, other 17 than skin effects, health effects in 18 those workers, so based on the range of 19 human populations that we have been able
20 to study and that have been exposed to 21 PCBs, I do not believe there's risk of 22 human adverse health effects.
23 Q. At all?
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1 A. Other than the liver and the skin,
2 so I can't pick a number. Now, if you go 3 into the literature, there are some 4 papers that will try to pick a number. I 5 think an early paper said you had to have 6 at least two hundred parts per billion to 7 be at risk of chloracne. 8 Now, I'm not sure that that 9 paper really stood for that proposition,
10 but I mean you could go out there and 11 find those kinds of things. But I think, 12 in general, looking over the whole
13 literature and looking at the blood 14 levels of people who have been studied, I 15 don't think you -- it's not that I think 16 -- you don't see those risks. You don't 17 see those diseases, let alone risks. 18 Q. Of course, you're saying you don't 19 see those in certain studies you're
20 relying on? 21 A. Yes. I mean, if you're going to, 22 you know, I mean, the proposition is if
23 you want to know what happens to people
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1 when they are exposed to a chemical, the 2 first thing you do is go look and see if 3 people somewhere have been exposed to 4 high levels of that chemical, for 5 instance, people that work with it every 6 day, and if they're not getting ill or 7 dying from those exposures, then there's 8 no reason to believe people who are 9 exposed at low levels down to zero levels 10 are going to be ill or die from those 11 exposures. 12 Q. And of course, you're saying the 13 people that worked around it were more 14 highly exposed than someone out in the 15 community; that's your belief? 16 A. That's a general proposition, I 17 would say, yes. 18 Q. And were those people that were 19 exposed working around it, were they 20 protected in any way? Was there any 21 protective equipment? 22 A. You know, in the early days, 23 probably not. In later days, I think --
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1 I mean, I certainly know our workers had, 2 you know, work clothes that they could
3 take on and off. I think they were told 4 to wear gloves if they were in direct 5 contact, but I think we know from talking
6 to people that they didn't, that they
7 were contacting those materials.
8 I mean, you hear the apocryphal
9 stories of people using PCBs as grease
10 removers and things like that, so I mean, 11 there was normal hygiene protective 12 equipment available to people. I'm sure
13 some wore them and some didn't, but there 14 were no extraordinary measures that you 15 would see like in a plant where you would 16 have to wear a respirator because you 17 were working with some vaporized material 18 or something. 19 Q. Would one be at a higher risk for
20 exposure to PCBs if they consumed it as 21 opposed to inhaled it? 22 A. No. With PCBs, my understanding of
23 the studies is that it's, you know, if
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1 it's getting in, it's getting in. 2 Q. Right. 3 A. Whether it's inhalation or dermal or 4 ingestion, however it's getting in that 5 those are all ways that PCBs can get in 6 your body and there's no one that's 7 really different than any other, I don't 8 think. 9 Q. I take it you are familiar with the 10 various studies, Brown, Bertazzi, Sinks? 11 A. Yes. 12 Q. And I'm sure you have read those? 13 A. Yes, I have. 14 Q. And do you agree or not that those 15 studies do indicate an association of 16 exposure to PCBs and cancer, for 17 instance? 18 A. Okay. I believe that some of those 19 studies report associations between 20 purported or real exposure to PCBs and 21 some individual cancers on an individual 22 study basis, but if you look at all those 23 studies taken as a whole, you do not see
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1 a consistent picture of associations with
2 PCBs with cancer at all or any specific
3 cancer. 4 Q. And when you say lack of 5 consistency, you mean a lack of
6 consistency with respect to the
7 particular site of the cancer?
8 A. Or all cancers combined, yes.
9 Q. In other words, one may have
10 gastrointestinal colon cancer and one may 11 have some other, and I'm not sure - 12 A. Well, they're both
13 gastrointestinal. It's never been 14 colon. 15 Q. Gastrointestinal, and one was some 16 other cancer? 17 A. That's correct. You see one -- this 18 here, this there, but, you know, I mean, 19 you expect that. The epidemiologist, and
20 I'm not -- the epidemiologist will tell 21 you that, you know, one out of every 22 twenty things you look at is going to be
23 positive just by chance. That's why you
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1 can't rely on a single study. You have 2 to go look at these studies where, 3 arguably, all those chance occurrences 4 are going to average out and if there's 5 something really there, it's going to be 6 there in a preponderance of the studies. 7 Q. There are epidemiologists and 8 toxicologists, as I understand, that do 9 take those studies and state emphatically 10 that they prove that cancer is, in fact, 11 related to PCB exposure. Would you agree 12 with that? 13 A. Would I agree that there are people 14 that say that? 15 Q. I mean you have read that, I'm sure? 16 A. I guess you would have to look at 17 how carefully they're saying it. I think 18 if you go to the literature where people 19 are being, you know, it's written on a 20 piece of paper and they are being judged 21 by what they say and it's there for 22 posterity to look and think about, I 23 think they'll go to say that there are
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1 suggestions or there are associations we 2 just talked about. 3 In a given study, there are 4 some that report an association with 5 exposure to PCBs and some individual 6 cancer. Yeah, people say that. I'll say 7 that, but I don't know that you could go 8 to the literature and really find someone 9 that says I've done a good weight of the 10 evidence review of the PCB cancer 11 literature and I know PCBs cause "X". 12 Now, when they say that -- they might say 13 that. 14 Q. Well, you have seen them say that. 15 You have read testimony to that effect, 16 have you not? 17 A. Yeah. 18 Q. Okay. 19 A. Although, again, I'm going to 20 qualify that because I think, again, even 21 these guys that -- well, I'll be nice -22 even these guys that are saying it are 23 generally pretty careful about qualifying
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1 it. They'll use the word "contributed" 2 or something like that, you know. Even 3 all that stuff I've read, I'm not sure 4 I've ever seen anybody say PCBs caused 5 this person's cancer period, only PCBs 6 period. 7 Q. You've never seen a doctor say that? 8 A. I may have, but I can't sit here, 9 oh, yeah, I remember that guy saying
10 that. 11 Q. Now, is Solutia, and I think we 12 talked about this earlier a little bit,
13 but is Solutia going to, in fact, are 14 they doing a risk assessment on the 15 Anniston residents? 16 A. All right, under the terms of the 17 consent decree proposed in federal court, 18 there will be a human risk assessment 19 done and an ecological risk assessment
20 done and, obviously, human risk 21 assessment will purport to analyze the 22 risk to humans associated with various
23 levels of exposure, and the ecological
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1 will look at the risk to the environment.
2 Solutia is going, under the terms of that 3 agreement, would have the responsibility 4 for the ecological assessment. The U.S. 5 EPA would have the responsibility for the 6 human risk assessment. 7 But the risk assessment is 8 really an assessment of the potential 9 risk to humans from the exposures that
10 could happen to soils or whatever in 11 Anniston. It's not -- neither one of 12 those is really a risk assessment of
13 people in Anniston. 14 Q. That's what I thought. I mean, 15 because, obviously, the EPA is not, I 16 don't think, geared to a quote "true 17 human risk assessment"? 18 A. Well, I don't know what that means. 19 I don't think -- nobody -- you know, with
20 all due respect, I don't think that's a 21 meaningful term because I don't think 22 anybody does that.
23 Q. Well, for instance, CDC, would they
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1 be more equipped? 2 A. Well, I guess I don't know what you 3 mean really by -4 Q. I'm not sure I know what it means 5 either. 6 A. I know, and the risk assessments 7 that are being done, without getting into 8 a lot of detail, basically say here are 9 the potential exposures, given those
10 exposures and given these numbers that we 11 can calculate that relate to possible or 12 theoretic risk, I basically multiply my
13 concentration in the environment by this 14 potential risk number and come up with a 15 number that says this population has so 16 much risks and that risk is either 17 acceptable or it needs to be reduced by 18 doing something. You can do that for the 19 human and you can do that for
20 ecological. That's what risk assessment 21 is all about. 22 Now, if you're saying by human
23 risk assessment, I'm going to take this
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1 group of people, I'm going to take all 2 their blood levels, and I'm going to do 3 some calculations and see if they are at 4 more risk -- I don't know if anybody does 5 that. 6 Q. Okay, well, that's what I'm 7 asking. Is that something that would be 8 considered or necessary to a true human 9 risk assessment; that is, determine the 10 blood level in the serum of those humans 11 to determine what risk they are at? 12 A. Well, I mean, somebody could do 13 that, whether it's official or making a 14 call, you and I both know there are 15 people out there that have done that in 16 other litigation. They're going to do 17 that in this litigation saying if that 18 person has that much PCBs, therefore, 19 they are at that much additional risk or
20 they won't probably quantify it because 21 they don't know how to quantify it, and 22 that's the problem.
23 They'll say it's additional
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Kaley, Robert; Tolbert
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1 risk, but they don't know how to quantify 2 it because there are no -- you would have 3 to have human data where you had known 4 human exposures getting to known human 5 illnesses to calculate the relationship 6 between blood level or any other measure 7 of exposure and illness and you don't -8 I'm sorry, you don't have the end points 9 to make that extrapolation so you can't 10 really do the calculation. 11 You can say, because of what 12 the literature says, there may be some 13 theoretical risk, but in any of this, I 14 have never seen anybody calculate what 15 additional risk some person is at 16 because, number one, all of these risks 17 are population risks. They're not 18 individual risks. 19 Q. What do you mean? 20 A. Well, any risk assessment, it's 21 averaging procedure, okay, and it talks 22 about whether all the, you know, all the 23 beavers in the pond, you know, one in a
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1 million might get some end point. It's 2 not -- Bucky Beaver may or may not get 3 sick because he's been exposed to PCBs. 4 You can't do that under the 5 risk assessment process because it's a 6 broad process looking at broad 7 characterization of risk and it's looking 8 at population risk. It has nothing to do 9 with individual risk. 10 Q. Are you saying - 11 A. It can't, because there are so many 12 things that drive individual risk. You 13 can't pick that person out. 14 Q. There's other compounders that - 15 A. Or any number of -- yeah, you can 16 call them that if you want to. Lifestyle 17 factors, you know, genetics, all sorts of 18 things, and this whole process is based 19 on averages and generalities and 20 extrapolations and safety factors that 21 builds so much uncertainty into the 22 process it can't be I driven down to an 23 individual.
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1 Q. Are you saying the risks that are 2 quote "associated with PCBs" is 3 theoretical? 4 A. In risk assessment, as applied it is 5 a risk -- it's a real risk to an animal. 6 Q. Okay. 7 A. Or it is a real end point? It's not 8 even a risk. You've got animals that are 9 sick or are dying and this isn't just 10 PCBs. You take that -- how much it 11 caused that animal to get sick and divide 12 it by ten and you divide it by ten again 13 and you divide it by ten again to come to 14 a factor where you're comfortable there's 15 enough -- you have put in enough 16 uncertainty factors in there to say okay, 17 way down here, a human exposed to this 18 level isn't going to get sick like this 19 animal up here at these very high levels 20 did. All this is uncertain in here. 21 There's no certainty that even 22 a human exposed to this level would get 23 sick. It's all been done on mathematics
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1 and policy, frankly. It's policy. It's 2 safety factors. The EPA says we're going 3 to put in ten for species uncertainty. 4 We going to put in ten for individual 5 uncertainty. We're going to put in ten 6 because we have a NOAEL instead of a 7 LOAEL -- the other way around, a LOAEL 8 instead of NOAEL, I'm sorry, NOAEL or 9 LOAEL, all caps. 10 Q. Meaning? 11 A. No observable adverse effect level 12 or lowest observed adverse effect level. 13 Thank you, that's good for clarification. 14 And so it's policy on how we 15 are going to protect people in risk 16 assessment, and so when you're talking 17 about risk assessment and all that stuff, 18 it's uncertain and it's population-based. 19 It's not individual. 20 Q. So why do you do a risk assessment? 21 A. To help the regulators and the 22 regulated community come up with, in 23 general, a cleanup level or a no-effect
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1 level that, under the terms of all this 2 safety, we can all agree if we get to 3 that level, we're cool. 4 Q. But if there are no risks associated 5 with exposure to PCBs to humans, why go 6 to all that trouble? 7 A. Well, again, you're using risk one 8 way and I'm probably, in the regulation, 9 using it another way. You're, you know, 10 scientifically, a layperson saying risk 11 means danger. 12 Q. Correct. 13 A. Okay. Risk in these -- I mean, it 14 starts off with the same definition but 15 the danger, at one point, is real, but 16 you have gotten so far away with all 17 these uncertainties and safety factors 18 that the risk down at this end becomes 19 theoretical based on -- the risk to 20 humans is theoretical based on the real 21 risk when an animal is at a much higher 22 level of exposure. 23 Do you come up with a number?
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1 Yes. And that's how it's regulated. It
2 says if the risk is one in a million to 3 one in ten thousand, depending on the 4 conditions, that's probably okay. The 5 U.S. Government -- the EPA will accept 6 one in a million to one in ten thousand 7 risk to the population for a cleanup 8 level. That's the way it is. 9 But that doesn't mean that if 10 you've got a one in ten thousand risk 11 level, that in a population of ten 12 thousand people, one person is going to 13 get that illness. One person might. Ten 14 people might. Zero might. But that 15 doesn't mean it came from the exposure 16 you're protecting against. It's just a 17 way for all of us to come to an agreement 18 on what we need to do to clean up a 19 situation. 20 Q. So the known factor, i.e., the 21 exposure to an animal, a fish by a 22 certain level of PCBs causes that animal 23 to either die or be sick?
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1 A. Right. 2 Q. What's that level? 3 A. It depends on the animal and it 4 depends on the end point you're talking 5 about. And I'm not going to be able to 6 give you numbers, but it takes, for 7 example, it takes a lot more to give a 8 rat cancer than it does to cause an otter 9 or a mink to have reproductive failure. 10 Q. Okay. And so you take that as being 11 known? 12 A. And there are all sorts of numbers. 13 Q. You take that to be known and you're 14 saying that you don't know the level, if 15 there is a level, that causes that same 16 problem to a human? 17 A. Yes, I'm saying that and I'm saying 18 that we have never seen those problems in 19 humans to know that level, but we will 20 all agree that, because we see it in 21 animals, we're going to apply all these 22 safety factors and we're going to clean 23 up to that level for humans. Or animals
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1 may be involved. 2 I mean, the ecological risk 3 assessment is doing the same thing for 4 the little beasties and, you know, if 5 there are minks in Choccolocco Creek, 6 then the risk assessment will take into 7 consideration the reproductive risks in 8 minks at some level of PCBs and we'll 9 have to protect against that. And that 10 may be even lower than what it is for 11 humans in Anniston and that might not 12 make people happy but it could easily 13 come out that way. 14 Q. Sure. But even though you're doing 15 a quote "risk assessment", human risk 16 assessment, you're not agreeing, as I 17 understand it, that the exposure that the 18 humans in Anniston have is not causing 19 them any uncommon risk or unduly risk? 20 A. All right, I'm going to restate my 21 answer. I'm going to answer what I think 22 you meant to ask and maybe you did. 23 Q. Okay.
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1 A. I do not believe that the exposures 2 in a stone as evidenced by human body 3 burdens indicate that any of those 4 persons is going to develop a disease as 5 a result of that exposure. 6 Q. Okay. Now, I have the letter you 7 wrote back in April of 2000 to the ATSDR. 8 Do you remember that? 9 A. I do. 10 Q. Did you have any help in writing 11 this letter? Did you write this letter? 12 A. Yes, I wrote that letter. 13 Q. Okay. 14 A. A few people moved some comas. 15 Q. Sir? 16 A. A few people moved some comas, but 17 it is almost exclusively my work. 18 Q. Okay. And what did you review - 19 this may be such a broad question you 20 can't answer it. What all did you review 21 in order to write this letter and it was 22 the comments to the - 23 A. Believe me, I know what it was the
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1 comments to. 2 Q. Health consultation. 3 A. Dated February 14th, 2000. 4 Q. Right. 5 A. Which, for the record, has never 6 been finalized, nor have my comments ever 7 been addressed. 8 Q. That's what I was going to ask you. 9 A. They keep promising they are going 10 to within the month. 11 Q. So they haven't responded or 12 corrected anything? 13 A. No. The procedure would be that 14 they will take into consideration my 15 comments or Solutia's comments, other 16 comments which they have received, which 17 I am sure have been many, and they will, 18 in their view, appropriately respond. 19 They will revise the document as they 20 believe appropriate in response to those 21 comments. They will then publish a final 22 version of the document and will publish, 23 as an attachment to that, the responses
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1 to all of the comments that they 2 received. 3 Q. All right. With that said, let me 4 ask you a couple of things and I'll show 5 it to you, but you may know this. You 6 may have this memorized. 7 A. Well, and it's a lot of the things 8 we have already been talking about. 9 Q. I think that's right. You mention 10 here, and, again, when you refer to page 11 five, the one I have doesn't have the 12 same page so it may be off. I don't know 13 why. 14 A. You may have gotten yours off the 15 internet or something. 16 Q. I may have. 17 A. There's an internet version and a 18 hard copy version. 19 Q. When you mention page five, second 20 paragraph, it says "Solutia does not 21 believe it is appropriate for ATSDR to 22 speculate about the reduction in the 23 ninety-fifth percentile of PCBs in blood
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1 a person is exposed in a manner quote 2 'typical' unquote for the U.S. 3 population. In the first place, we do 4 not believe it is appropriate to rely on 5 the draft Tox Profile for PCBs." 6 And my question, basically, I 7 read that for this reason: at that time 8 that you wrote this letter, the Tox 9 Profile was a draft? 10 A. That's correct. 11 Q. It has now been peer reviewed and 12 finalized; correct? 13 A. Well, it has been finalized. We can 14 quibble about what peer review means, but 15 they say it has and I say it hasn't. 16 Q. Okay. The only reason I say it has 17 been peer reviewed is they have. 18 A. It has been reviewed and it's final, 19 no argument about that. 20 Q. And I guess my question to you is 21 when you -- did they change anything 22 about the Tox Profile that you were quote 23 "criticizing"?
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1 A. Yeah, I think nowhere in here do 2 they say that the normal background range 3 is ten parts per billion in blood. They 4 talk about this average. 5 Q. Okay. 6 A. But as far as I know, they haven't 7 -- in the draft, they specifically said 8 the normal human range is now ten parts 9 per billion already. There are no data 10 to support that. They don't say that in 11 here. They don't say it in subsequent 12 health consultations that they've issued 13 with regard to Anniston. 14 Q. So the criticism that you talked 15 about is not in the final version? 16 A. Well, but this -- well, I don't know 17 because I haven't -- I think that's 18 correct and I don't remember exactly what 19 the -- I know where you are. I was going 20 to say my letter is not addressed to this 21 document, but you know that. 22 As far as I know, and I don't 23 remember the exact quote from the draft
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1 profile, but whatever I was objecting to 2 I think has been changed in the draft 3 profile. I don't recollect anything in 4 here which would trigger that comment, 5 let's put it that way. 6 Q. Do you think today you would not 7 have that same comment? 8 A. I would have the same comment if 9 they tried to say the background range is 10 ten parts per billion without 11 justification, but I may not refer to the 12 Tox Profile and them quoting that for 13 that premise for their thing. I mean, if 14 they have data, fine, but my objection 15 was they don't have any data. That was 16 my real objection and that was evidenced 17 because they didn't cite the literature. 18 They cited the draft Tox Profile. 19 Q. Do they have data that mean serum 20 levels range from point nine to one point 21 five? 22 A. In recent studies, I think they 23 probably have a couple of studies that
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1 they averaged to get those numbers out. 2 Q. Now, you also have some criticism 3 here about the extrapolations. "A 4 suggestion that back extrapolations can 5 be used to estimate historical PCB body 6 burdens in Anniston is over simplified." 7 A. I don't remember saying that, but 8 okay. I'm glad I did. 9 Q. "This discussion must be expanded to 10 elaborate on the uncertainties involved 11 in and introduced by this process, 12 speculative process," you call it, and 13 then you talk about "in the first place, 14 PCB half lives are congener specific." 15 What are the half lives of PCBs? 16 A. Well, let's go to what is a half 17 life. 18 Q. Okay. 19 A. All right, whether you're talking 20 about a chemical or a pharmaceutical, 21 whatever, if you put something in your 22 body and have some measure, then, of the 23 level of that thing in your body,
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1 whatever it is . 2 Q. The dosage amount? 3 A. The dosage. Well, no. A bio-marker 4 of the dosage. You may not know exactly 5 what the dosage is, but some level -6 well, it could be a blood level, it could 7 be a breath level, it could be a level in 8 your urine. You have some measure of how 9 much of that material got to whatever -10 Q. Ten parts per billion? 11 A. Yeah, whatever your measure, okay, 12 your body basically takes everything that 13 goes into it and does something to it and 14 makes it go away. Some things go away 15 faster. Some things go away sooner. 16 Most of the things that go away go away 17 in a concentration-dependent manner so 18 that you can measure, for instance, if I 19 take an aspirin and I can measure aspirin 20 in my bloodstream, right after I take the 21 aspirin, at some point, the concentration 22 of aspirin in my bloodstream is going to 23 be half of what it was, all right, and
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1 that's a half life. 2 Q. Whether it be hours or days or 3 whatever? 4 A. Days or minutes, whatever. And then 5 if you start at that point, then one half 6 life later, you're only going to have a 7 quarter of it left so it's basically a 8 way of measuring how quickly things are 9 removed from your body. 10 Q. Okay. With that said, can you say 11 what the half life is of PCBs in 12 general? 13 A. I do not believe you can. 14 Q. Okay and that's because -15 A. That's because there's no such thing 16 as a PCB. There are two hundred and nine 17 different things called PCBs that each 18 one is going to behave differently in a 19 human body and an animal body and they're 20 each one going to have an unique half 21 life. 22 Now, you can -- and people have 23 -- I'm not so naive as to say that
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1 nobody's ever tried, in a given 2 population, you can look at blood levels 3 and make some generalizations about half 4 lives but those generalizations are 5 population specific. 6 Q. Okay. And what is - 7 A. So if you're looking at capacitor 8 workers and you've got a hundred or a 9 thousand capacitor workers you can get 10 some kind of average half life for, you 11 know, lower chlorinated PCBs and higher 12 chlorinated PCBs which is what has been 13 done, as you well know, but those are 14 highly exposed people and the half lives 15 may differ depending on whether they are 16 highly exposed or lowly exposed. 17 There's all sorts of averages 18 in there. You can't say on the 19 individual person that you can do that 20 calculation. You can only do it on a 21 populations basis, if at all and on a 22 population basis, I believe with a 23 similar exposure scenario.
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CO CO
1 Q. So do you have any -- what is the 2 half lives of the general population? 3 A. I don't know. 4 Q. You have no way of knowing? 5 A. I know what has been measured in 6 capacitor workers. 7 Q. Which is? 8 A. I think for the lower, I'm guessing 9 it was one to two years and for the 10 higher, it was seven to eight years, but 11 that only applies to those capacitor 12 workers and it applies on a Hugh's 13 average and, you know, you can't do the 14 calculation. You can have the concept. 15 I don't have a problem with the concept 16 -- 17 Q. Right. 18 A. -- as long as you can check for 19 background first. 20 Q. Right. 21 A. If you know someone who is exposed 22 and you know that that exposure blood 23 level is decreasing over time, then you
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1 can make a general argument that, you
2 know, correcting for background, that 3 some person's level may have been 4 higher. But I don't think, with PCBs, 5 you can do that with any certainty 6 whatsoever. 7 Q. Can you take -- do you know the half 8 lives of various congeners? 9 A. No, I don't think anybody does. 10 Q. Has that ever been studied or 11 measured? 12 A. I think those studies are 13 beginning. I think Dr. Hanson talks 14 about the fact that those studies are 15 beginning, but I think, you know, I mean, 16 they haven't been done. And until you 17 have two hundred nine of those studies 18 repeated with some certainty around those 19 numbers, you're not going to be able to 20 do it. I don't think anybody will ever 21 do it because it's too complex and it 22 doesn't really matter. 23 Q. Okay. When you say doesn't really
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1 matter, it would matter if it were 2 something you could use to extrapolate, I 3 guess? 4 A. It would matter if someone were 5 going to get sick depending on what the 6 outcome would be. 7 Q. Okay. Again, we go back to the risk 8 associated with exposure period? 9 A. Right. I mean, why are you doing a 10 calculation? Presumably, if you're going 11 to do it, it's to try to say that, at 12 some point in time, that person had a 13 higher level which means something. 14 Q. That's exactly what I -15 A. Well, yeah. 16 Q. But you don't agree that that's 17 possible or feasible or correct? 18 A. Because of what my view of the what 19 the literature says about the health 20 effects of PCBs, no, I don't know that, 21 no matter what number you get to, it 22 matters, but I think any number you get 23 to today is going to be so uncertain that
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1 it's meaningless anyway. 2 Q. One other point in this letter that 3 you wrote, and you're talking about the 4 note that they say that six hundred 5 forty-eight children live within a 6 one-mile radius and, of course, you 7 disagree with the number. One time, it 8 says six forty-eight and one time, it 9 says six fifty-eight or something, but 10 anyway, "More important, the significance 11 of selecting a one-mile radius around the 12 facility is unclear. Such a circle 13 includes large areas which are in the 14 drainage patterns from the facility in 15 which PCBs have not been detected in soil 16 above one part per million level defined 17 by the EPA as clean in other areas." 18 When you said that, that raised 19 the question I asked you early on which 20 was in the cleanup of the areas that 21 we're talking about in the proposed 22 agreement. Are you going to exclude the 23 areas or are you going to try exclude the
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1 areas that are not in the drainage, as 2 you call it, the drainage pattern? 3 A. Well, I don't think we're going to 4 -- we're not going to exclude them. Can 5 we go back to what we've already done? 6 Let's talk about the consent order and 7 what we're doing. 8 Q. And I think I have that. 9 A. The areas that are not in the 10 pathway were not excluded by definition, 11 but our sampling program focused on the 12 areas in the drainage pathway and, again, 13 what we talked about earlier, and as we 14 and the EPA got more confident that we 15 were moving away from areas associated 16 with the drainage pathway and we weren't 17 seeing PCBs, that our sampling could be 18 curtailed inside those areas. 19 So I think, going back to what 20 I think the original question is, I 21 believe that we, with the oversight of 22 the EPA and whoever else is appropriate 23 will continue to try to focus our
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1 sampling and our remediation efforts on
2 the areas associated with the drainage 3 pathway because that's where we believe 4 and are very confident that the PCBs 5 associated with our form of manufacturing 6 are, in fact, located. 7 Q. Because I assume you don't agree 8 that if there is a high level of PCBs in 9 a soil outside the drainage area, you 10 don't agree that it got there by virtue 11 of the normal exits from the plant? 12 A. That's correct, I do not, no. 13 Q. That it got there some other way? 14 A. Correct. 15 Q. Fill dirt? 16 A. Primarily. That's our working 17 hypothesis, yes. 18 Q. What about areas that are outside 19 the drainage basin that have trees, for 20 instance, in it that have PCB levels; how 21 do you explain those? 22 A. I don't know that I have seen the 23 data to explain them, but I don't want to
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1 speculate. You know, I know 2 Dr. Hermanson has been out there 3 measuring tree bark. I don't know what 4 that means, frankly. 5 Q. Okay. 6 A. Because we don't know how old those 7 trees are. We don't know what 8 contributes to getting PCBs on tree 9 bark. I don't know what calculating, on 10 a lipid basis on tree bark does. There's 11 a lot of questions about that, but I 12 don't have a ready explanation. 13 I mean, obviously if they're 14 there and they're truly there, there is 15 some explanation of how they got there. 16 I don't have a ready explanation for that 17 and I don't know why these are that are 18 located outside the drainage pathway and 19 I don't think, if they are in tree bark, 20 I don't think they got them from the 21 drainage pathways anyway other than 22 possibly some blowing dust or something. 23 What I'm saying is I don't think they're
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1 coming up through the roots and getting 2 up to the bark. 3 Q. And I guess the question -- that 4 goes back to my question earlier, if a 5 piece of property is outside the drainage 6 basin or flood plain or whatever you want 7 to call it, can the levels of PCBs in 8 that soil have gotten there through the 9 air or particles being traveling through 10 the air into that property? 11 A. No, I am convinced that is not true. 12 At levels that are in the range we have 13 been talking about, the one part per 14 million or ten parts per millions, I mean 15 if you are going to get down to the parts 16 per trillion, then there may be some air 17 transport, there may be some dust 18 transport, but at levels that are going 19 to be significant for cleanup operations, 20 I don't think the air pathway is 21 significant either through air itself or 22 through dust. 23 Q. What way would the property outside
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1 the flood plain have gotten a large - 2 how would that have gotten the fill dirt, 3 as you call it, or where would the fill 4 dirt have come from or do y'all have any 5 knowledge about that? 6 A. Well, there's some apocryphal 7 knowledge. There's some speculative 8 information. You know, I don't want to 9 be the carrier of tales, but, I mean, 10 it's certainly my understanding that the 11 foundries, sand piles, used sand piles 12 were pretty much freely able to anyone in 13 Anniston, anyone to come with a drum or a 14 bucket or a pickup truck and take them 15 away to use it as fill. 16 And we also, I mean we've got 17 apocryphal stories of people going down 18 into Snow Creek and taking sediments out 19 of Snow Creek and mud and stuff to fill a 20 place in the yard or something. Usually, 21 it's been people closer to the creek 22 where that was kind of -- seemed like a 23 natural thing to do. But that's, I
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1 guess, from, you know, hearsay and 2 speculation, but that would by my answer 3 to your question. 4 Q. Now, I think I have the map and it's 5 not a very legible copy. Is that the map 6 that we're working on with respect to the 7 areas that - 8 A. No. The map you're looking at is 9 basically a map of the -- now, these are 10 actually the areas that we own, these are 11 our properties. 12 Q. I'm looking for the map that 13 describes the areas and I think you said 14 one, two, three, four, five, six, and I 15 16 A. I can use a break -17 Q. I'm sorry, yes, let's have a break. 18 A. I'm just saying I could use a break 19 anyway. Let me get a drink of water and 20 let me leaf through this and see if I can 21 find it for you. I mean, I can't 22 guarantee it's in here, but it certainly 23 should be.
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1 Oh, this is the consent decree
2 (referring to document). It's not going 3 to be in the consent decree. It's going 4 to be on the Administrative Order of 5 Consent from October of 2001 -- the EPA 6 Administrative Order of Consent. It's 7 not going to be in here. It's going to 8 be on there (referring to documents.) 9 (Whereupon, a short recess was 10 taken at this time.) 11 Q. We'll go on to a couple of other 12 points with your letter, Dr. Kaley. The 13 blood dioxin measurements that you refer 14 to? 15 A. Yes. 16 Q. You don't expect, as I understand, 17 to find -- well, tell me, do you find 18 dioxins in PCBs? 19 A. No. 20 Q. Okay. Do you find dioxin-like 21 congeners in PCBs? 22 A. Well, you're using a term I loath. 23 Q. What term would you rather use?
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1 A. I don't know, age-responsive. I'll
2 use dioxin-like because -- under protest 3 -- but are you talking about PCBs that 4 have dioxin-like properties or are you 5 talking about other compounds that are 6 dioxin-like in PCBs? 7 Q. I'm talking about what I understand 8 to be called coplanars, which is what? 9 A. Okay, and it's too bad we don't have 10 our model, because we would know that. 11 Q. What are coplanars? 12 A. PCBs are made up of two benzene 13 rings and those rings, as we talked about 14 during break, PCBs are molecules not just 15 sitting there rigid in space. It's 16 twisting and bumping and spinning and 17 things are happening. 18 A benzene ring is a flat 19 molecule. It's made up of six carbon 20 atoms and kind of like a hexagon and it's 21 very flat. If you were able to look at 22 it spacially, it would be flat. If you 23 hook two of those together with a
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1 carbon-carbon bond, they'll spin in
2 reference to each other constantly. And 3 if it is possible and they do get into a 4 configuration where they are flat in the 5 same plan, then they are called coplanar 6 PCB molecules. 7 Q. Do they still rotate? 8 A. Yes, it's just whether they can get 9 in there. What's important about that is 10 that there is, in animals and humans, a 11 physiological -- what's called a 12 receptor called the AH, capital A, 13 capital H, into which a molecule called 14 the TCDD or dioxin can bind and trigger, 15 arguably, a set of physiological events. 16 The receptor is structured such 17 that only things that are coplanar, that 18 are flat, will get into that and bind 19 into that receptor. A dioxin itself 20 isn't one of these flat molecules. So if 21 you have a PCB which can get into this 22 flat configuration, and it does so at a 23 time that it is in proximity to that
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1 reception, it can bind to that receptor. 2 That's why it matters whether they are 3 coplanar or not. 4 Q. That's why some people call it 5 dioxin-like? 6 A. Yes, because the theory is, and it 7 is a theory, is that once a PCB congener 8 can bind into that receptor, it could 9 then trigger those same responses that 10 dioxin would, although at much lower 11 levels or much lower potency. 12 Q. Okay. And why is it that you do not 13 agree that that can occur; that is, that 14 it can bind to the AH receptor? 15 A. I totally agree that the binding can 16 occur. I do not disagree that the 17 binding can occur. What has never been 18 shown in the laboratory is all the rest 19 of that cascade of physiological or 20 toxicological events that have been shown 21 for dioxin. No one has ever really shown 22 that few, if any, of those have ever 23 occurred by the binding of a PCB molecule
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1 into that receptor. Clearly, the binding 2 occurs. There's no question about that. 3 Q. There are certain PCBs that can bind 4 to that receptor? 5 A. Yes. 6 Q. Which ones are those? 7 A. Well, there are four PCBs that can 8 totally get into this coplanar structure 9 or format and have chlorines in the right 10 places. Do you want their numbers; is 11 that what you want? Do you want their 12 chlorine substitution patterns? I mean 13 they are numbered eighty-one, 14 seventy-seven, one twenty-six, and one 15 sixty-nine. 16 Q. Okay. 17 A. Those are four totally coplanar 18 PCBs . 19 Q. All right.
20 A. They were present at extremely low
21 levels in our products and they are 22 present at extremely low levels 23 everywhere else.
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1 All right, there is a another
2 group of about seven or eight that have 3 one chlorine next to this bond that we're 4 talking about and they can't get totally 5 flat but they can get kind of flat and 6 they can get flat enough that they'll 7 bind even weaker than the PCBs so they 8 can get in there and they'll bind a 9 little bit, but any effects they have 10 would be totally minimal and I mean one 11 hundred five and one eighty, and one 12 thirty eight. There's some others. I 13 don't have them all memorized, but 14 there's about a dozen altogether that are 15 coplanar. 16 Q. So the part you don't agree with is 17 that once these coplanars attach to the 18 AH receptor, the effect is not the same 19 as you would have had if you had a dioxin 20 attached to that AH receptor? 21 A. I think that has never been shown. 22 Q. Is that, in simple terms, enough, at 23 least, for me to understand?
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1 A. I don't want to make it sound like I 2 say it's impossible, but I'm saying 3 because they bind so much more weakly and 4 because there are other things going on 5 with PCBs, the most important of which is 6 that you don't ever have this single 7 congener or a group of these single 8 congeners out in nature or in a body. 9 You've got whole bunches of other PCBs 10 out there which are trying to bind and 11 which are binding to other things and 12 which are interfering with the binding, 13 etcetera, etcetera. 14 So until you go into the 15 laboratory and, number one, show that 16 that congener can cause whatever effect-17 cancers are a biggie -- you know, dioxin 18 in animals causes cancer. 19 Q. That's a known? 20 A. That's a known, all right, although 21 there's an interesting dioxin study going 22 on at EPA that EPA is going to have big 23 problems here coming up because they're
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1 doing their own study and it isn't 2 causing cancer nor is the PCB they're 3 testing, so we'll see where that comes 4 out. 5 Q. Is that going to come out before 6 October? 7 A. No, they're sitting on it,believe 8 me. I'm hoping it will. 9 Q. Okay, just asking. 10 A. And on the other side, we've got PCB 11 studies that if you feed Aroclor 1260 to 12 rats in the laboratory, you get cancer. 13 What we don't have is taking that one 14 single congener out of PCBs, feeding it 15 to rats, and ending up with cancer, and 16 until you have that, it's all 17 theoretical. And that's exactly what EPA 18 is trying to do in their experiment and 19 it's not working out for whatever 20 reason. 21 But even if you do that, you're 22 still dealing with that single congener. 23 You're not taking into consideration all
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1 the other things that can go on, and I
2 don't know whether you've had the 3 agonist-antagonist lecture and all that 4 stuff, but some PCBs apparently lesson 5 the effect of dioxin, so it's just very 6 complicated, and until we really 7 understand and can demonstrate that PCBs 8 can do all these things that are alleged 9 to dioxin, then we're on very shaky 10 ground. 11 I mean, you know, you say who 12 cares? Well, I think the problem is and 13 who cares is that people use this 14 theoretical construct to try to draw PCBs 15 into the whole dioxin health effects 16 discussion, whether it be animal or human 17 or whatever and there's no scientific 18 basis to that. 19 Q. So we all know that dioxins, in and 20 of themselves, do cause cancers in 21 humans ? 22 A. No, no, no. Rats. 23 Q. There are animal studies that --
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1 A. That show that TCDD, a single - 2 not like PCBs, there are, you know, 3 seventy-five dioxins. 4 Q. There's one dioxin and it causes 5 cancer in rats? 6 A. Yes. 7 Q. What's the difference between that 8 study and the study that shows PCBs cause 9 tumors or cancers in rats?
10 A. Well, I'm not sure what your
11 question means. I mean, it's a different
12 chemical. I suppose it's as DDT causes
13 cancer in rats or something else. The 14 problem really is that dioxin does it at 15 so much lower levels. 16 Q. Okay. That's what I'm saying. We 17 know that there are animal studies that 18 show an association with - 19 A. I think in animal studies we've got
20 all that controlled. I'll go with show. 21 Q. PCBs show that there's cancers in 22 rats ?
23 A. Yes.
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1 Q. We also have studies that show 2 dioxins cause - 3 A. A dioxin causes cancer. 4 Q. What my question is, I guess, is, 5 all right, how can you take the giant 6 leap from the dioxins in rats causing 7 cancer in humans and you can't take a 8 giant leap with respect to PCBs causing 9 cancer in rats to humans? Why can't you 10 take the same leap? 11 A. I don't take the first leap. I 12 would never take the first leap. You 13 can't take either leap. 14 Q. So you won't agree that, based on 15 the animal studies of dioxin causing 16 cancer in rats that that proves or shows 17 that dioxin causes cancer in humans? 18 A. Oh heavens, no. I mean, we would 19 have exactly the same discussion around 20 the dioxin-human lecture that we do with 21 the PCB. What I was trying to say is 22 that TCDD causes cancer in rats. 23 Q. Okay.
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1 A. PCBs -- A PCB mixture, Aroclor 1260 2 causes cancer in rats, but the in-between 3 is one teeny component of that Aroclor 4 1260 has never been tested to determine 5 whether it causes cancer in rats, so we 6 can't make the leap that, you know, 7 because that little, you know, we don't 8 know the mechanism of really how dioxin 9 causes cancer in rats or how PCBs cause 10 cancer in rats. 11 What the theory is is that if 12 you've got that little teeny bit of, 13 let's say PCB 169 in Aroclor 1260, if it 14 binds to the receptor, it's going to 15 cause cancer by the same mechanism that 16 dioxin does, so everything you can say 17 about dioxin, you can say about that 18 compound. We don't know whether it 19 causes cancer in rats so we can't make 20 that -- that's the leap we can't make. 21 Humans are out of picture at this point. 22 Q. Okay. That's what I'm trying to get 23 at. If you don't agree that there's
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1 quote "proof" that dioxin causes cancer 2 in humans -3 A. Okay, and I don't. 4 Q. You don't. Then what difference 5 does it make if we prove that the 6 dioxin-like congeners attach to the AH 7 receptor and cause the same risk to 8 humans as dioxin does? 9 A. There are numerous regulatory 10 implications of that assumption. It can 11 drive cleanup levels to unreasonably low 12 and unreasonable expensive levels. It 13 can cause the EPA to regulate chemicals 14 in our food supply at, you know, 15 ridiculous costs to the economy. There 16 are numerous -17 Q. Ramifications? 18 A. Ramifications, that's the word. 19 There are numerous ramifications of that 20 assumption that, until it's proved, we 21 should not be making those leaps. 22 Q. There are quote "scientists" out 23 there that do come to the conclusion, I
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1 assume, that dioxins do, in fact, cause 2 cancer in humans. 3 A. Yes. 4 Q. Are there clinical studies out there 5 similar to the studies that I mentioned 6 earlier, the Brown and Bertazzi, that 7 have found cancers associated with 8 dioxins? 9 A. There's a body of dioxin literature 10 which some people interpret as being 11 demonstrative that dioxin causes cancer 12 in humans. 13 Q. Is there the same problem with those 14 studies and that literature, is there the 15 same problem with that literature that 16 there there is with the PCB; that is, 17 that one study may show a certain site of 18 cancer in one site and another study 19 won't show that; that is, inconsistency? 20 Is there the same problem with those 21 studies?
22 A. That is a minor part of the problem
23 with dioxin studies. Interestingly,
Ill
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1 dioxin studies do have some consistency
2 in that they seem to show that there is a 3 very weak elevation in what they call all 4 cancers combined, that it really doesn't 5 cause a cancer in any particular site 6 which is problem number one because 7 there's no other compound that's known to 8 do that. 9 Q. Okay. 10 A. So this whole all cancers combined, 11 it just doesn't make any sense. You 12 know, one of the other criteria that I'm 13 sure you've heard people talk about is 14 biological plausibility. It's not 15 biologically plausible that dioxin could 16 cause these teeny elevations, although 17 statistically significant, and I'm not 18 going to play that game. They are 19 statistically significant in all cancers 20 combined without looking at any 21 particular cancer. 22 And there are huge problems 23 with confounding in those studies because
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1 most of those were studies of workers in
2 chemical plants where there were lots of 3 other carcinogens. So there is a body of 4 literature, some of which can arguably 5 stand for the proposition that dioxin 6 causes cancer in humans. It's clearly 7 been interpreted that way by the 8 regulatory agencies, at least EPA, and I 9 think there are problems with it, so I'm 10 not going to buy into it, but the 11 literature is clearly there. 12 Q. And I assume that the EPA's 13 assessment, you don't agree with; that 14 is, that it causes cancer in humans? 15 Dioxin? 16 A. Right, I do not agree with the EPA's 17 attempts to label dioxin a known human 18 carcinogen. 19 Q. Okay. So the letter, when you talk 20 about the TEQs, meaning what? What are 21 the TEQs? 22 A. Well, one of the outgrowths of the 23 fact that some people believe that some
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1 PCBs have dioxin-like activity is that 2 you can, by looking at, you know, binding 3 to the receptor or some other end point, 4 come up with a number, a ratio of the 5 potency of a particular, for instance, 6 PCB to TCDD so if TCDD -- you can measure 7 how strongly something binds to this 8 receptor. If TCDD binds, you know, 9 strength "X" and this PCB binds at a 10 strength one tenth of that, then they 11 have this theoretical construct called 12 toxicity equivalency factors TEQs to 13 relate those potencies or those strengths 14 of toxicity. 15 If you have a mixture of 16 compounds and you take the concentration 17 of each compound and multiply it by its 18 concentration in that mixture, you get 19 what are called toxicity equivalents with 20 a TS and so those are TEQs which is "T" 21 from toxicity and "EQ" from equivalence, 22 TS, not CE, and that theoretically 23 relates the toxicity of that whole
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1 mixture back to dioxin. 2 Q. And what they're measuring, as I 3 understand, is the eleven or ten or 4 whatever the number there are that are 5 quote "dioxin-like"? 6 A. Correct, the ones we talked about 7 earlier. 8 Q. Which included the four or five you 9 said that were truly dioxin -10 A. Right, truly coplanar, right. 11 Q. Coplanars. And those that are the 12 little swiquets. 13 A. The little swiquets. 14 Q. Okay. And they come up with this 15 TEQ? 16 A. That's correct. 17 Q. Do you place any significance in the 18 level or the TEQs in humans? I mean, do 19 you put any significance into that? 20 A. The TEQ, the whole toxicity 21 equivalent factor, TEQ construct was 22 developed as an interim procedure and 23 it's still an interim procedure by EPA to
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1 help them economically assess risks for 2 cleanup sites. 3 If you have a complex mixture 4 of dioxins or other, you know, 5 dioxin-like materials, arguably, to do a 6 risk assessment on that site, you would 7 have to go in and measure every compound, 8 have toxicity studies on every compound, 9 and assess independently the risks of 10 every compound in that mixture, and then 11 somehow add all those up. So everybody 12 -- and I would agree that's -- we don't 13 have the toxicological information. It 14 would be years away and very costly to 15 get the toxicological information. 16 The analytical costs would be 17 extreme, etcetera, etcetera. So EPA and 18 others come up with this scheme where 19 okay, let's look at this mixture, let's 20 look at these toxicity equivalency 21 factors which you get from animal studies 22 or test tube studies or whatever and give 23 us this TEQ for this site or this soil or
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1 this residue which gives us some feel of 2 how that site should be cleaned up and 3 we'll relate that to dioxin and we'll 4 clean up to that dioxin level rather than 5 having to do it for each individual 6 compound. 7 I think it has some 8 justification in that scheme. Now, I 9 draw two lines. One is I think that 10 scheme is entirely inappropriate and 11 premature for PCBs. 12 Q. Why? 13 A. Because we don't have any of the 14 information that we've been talking 15 about, the toxicological information that 16 says PCBs even behave in those manners. 17 Q. That's the same thing, you don't 18 think there's information to show that 19 the coplanars or the dioxin-like PCBs 20 cause any health effects? 21 A. Right, even in animals. 22 Q. Even in animals? 23 A. Even in animals to do that.
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1 Secondly, along the same -
2 well there's actually three. The next 3 disconnect is we have been doing PCB risk 4 assessments and PCB cleanups for decades 5 based on looking at PCB mixtures as we 6 know them and we find them and we love 7 them. 8 Q. Total? 9 A. Total PCBs. Things are getting 10 cleaned up. Things are moving along. 11 The sites, you know, there's no evidence 12 that any site that's ever been cleaned up 13 that way remains in any kind of 14 theoretical or real risk. It's worked 15 fine and it's just so much more 16 efficient. 17 The other disconnect is that to 18 take this theoretical construct and try 19 to apply it to human body burdens, I 20 believe is totally inappropriate and 21 others agree with me. And the EPA 22 doesn't agree with me. The EPA is trying 23 to do it. And there's no justification
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1 to say that a body burden on a TEQ basis 2 has any relationship whatsoever to 3 reality. 4 It's a convenience to help us 5 gets sites cleaned up. It was never 6 designed to, nor is it robust enough to 7 talk about threats to human health based 8 on these TEQs. 9 Q. And you say others agree with you. 10 Do you have any particular reference to 11 others who agree with you? 12 A. No, I mean, it's an ongoing 13 discussion. 14 Q. Obviously, there are others that 15 disagree with you? 16 A. It's an ongoing discussion. It's 17 one of the real discussions that's, 18 frankly, holding up this draft dioxin 19 reassessment that's making its rounds to 20 government agencies because it's a huge 21 question. 22 Q. Well, in your statement to ATSDR, 23 you talk about specifics and I think you
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1 mention someone, their ages and you talk 2 about the fact that because of their age, 3 they would have a significant TEQ. Maybe 4 I'm reading that wrong. 5 A. I don't think I said that. 6 Q. Maybe I better read it correctly. 7 "Examination of the birth dates clearly 8 shows that this is an elderly group of 9 persons. The youngest was fifty-one at 10 the time of sampling and analysis while 11 the oldest who had the highest PCB level, 12 total PCB level was eighty-four. The 13 significance of the ages of these people 14 will be discussed. Person one has 15 already been discussed. This person is a 16 former Monsanto worker. He also has the 17 highest level of TEQs among the group. 18 Examination of the data sheet for this 19 shows that his TEQ level is dominated by 20 TEQs for Penta and hexa dechlorinated 21 dibenzofurans which is exactly what would 22 be expected for someone with an elevated 23 PCB level."
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1 And I misspoke while ago. Why 2 would he be expected to have a high TEQ 3 associated with dibenzofurans? 4 A. Okay, this person was a worker, a 5 long-time worker at our plant. He had 6 obvious exposure to PCBs. He had an 7 elevated PCB level. The PCBs, as 8 manufactured by Monsanto, had trace 9 levels two to five parts per million of 10 chlorinated dibenzofurans as impurities 11 as measured, so somebody exposed to high 12 levels of PCBs is going to, you know, 13 logically, at least, maybe not for sure, 14 but possibly have also elevated levels of 15 chlorinated dibenzofurans, but not 16 dioxins, and that's exactly what this guy 17 shows. 18 Q. And you mention, you go forward and 19 you say low levels, typically a few parts 20 per million of PCDFs were produced; 21 that's what you said? 22 A. Right. 23 Q. But you're saying that there were no
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1 such -- there was not a same level of 2 PCDD; is that right? 3 A. That's correct. In fact, they're 4 not measurable or not measured. They 5 have never been reported of dioxins and 6 PCBs as an impurity of manufacture. 7 Q. So if there are -- so how do you 8 explain the dioxins found or the 9 dioxin-like congeners found in the blood
10 levels that we have measured? 11 A. Okay, now -12 Q. Are we talking two different things
13 here? 14 A. You start talking dioxins and then 15 you started talking dioxin-likes. 16 Q. Okay. 17 A. I mean, there's three or four things 18 we need to keep straight. One is there 19 are a group of compounds called dioxins,
20 all right, and the most well known of 21 which is this TCDD we've been talking 22 about. There's a related group of
23 compounds called polychlorinated
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1 dibenzofurans or on short, furans. 2 Q. Right. 3 A. All right, there's another group of 4 chemicals called PCBs. 5 Q. Okay. 6 A. So we've got these three big groups 7 that we're all going to be talking about. 8 Now, within the PCB group, there's this 9 little teeny twelve-member little
10 subgroup called dioxin-like as you refer 11 to it and others are the coplanars. So 12 your question was dioxins or coplanars
13 and they're separate answers to those two 14 questions. 15 Q. All right, that's maybe my confusion 16 in reading this letter when you say PCDDs 17 or dioxins are not produced as 18 by-products for the manufacture of PCBs, 19 nor are they formed by thermal stress of
20 PCBs . 21 A. Right. That's that one group of 22 specific compounds, right.
23 Q. "Therefore, the PCDD or dioxin levels
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1 in persons in this community cannot be 2 associated with their potential exposure 3 to PCBs." 4 A. Right. 5 Q. "In the second place, the magnitude 6 of dioxin levels in this person clearly 7 suggests that she has had some unique 8 exposure to dioxin assuming, of course," 9 and so on. You're referring, as I 10 understand you now, you're referring here 11 to the fact that they're talking about 12 dioxins as opposed to coplanars or 13 dioxin-like PCBs? 14 A. This was a separate set of analyses 15 for dioxins and furans and PCBs. 16 Q. Okay. 17 A. But I was only addressing, in these 18 comments, the dioxin and furan issues and 19 they are separate issues when being 20 discussed around PCB questions. PCBs 21 were out of that whole discussion, other 22 than the fact of as a potential source of 23 furans in that one person. But other
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1 than that, all I was talking about was
2 the dioxins themselves and the furans
3 themselves. 4 Q. So you weren't talking about, in 5 this context, you weren't talking about
6 the coplanars; is that correct?
7 A. That's correct, I was not.
8 Q. Did ATSDR even mention the quote
9 "coplanars" as it relates to the TEQ?
10 A. As I sit here today, I don't 11 recall. I think those data were 12 available to them. I don't know whether
13 they tried -- I don't recall. 14 Q. Well, the reason I'm asking that is, 15 in the same paragraph, you're mentioning 16 the TEQs and the dioxin and furans, and 17 that's what's confusing me some because I 18 19 A. Because the TEQs were originally
20 developed only for dioxins and furans. 21 TCDD is the prime example. It's the ones 22 in which everything else is -- it's a
23 reference compound. That's the word I'm
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1 looking for. It's the reference compound
2 and it's defined as having a toxicity of
3
one,
just unitless, just one.
4 Q. All right.
5 A.
There are, I'm going to say,seven
6 other dioxins and I think ten furans that
7 also, like TCDD, bind to the AH receptor
8 and, in some cases, have been shown to,
9 in other cases, are assumed to have
10 dioxin-like activity so they have TEFs
11 associated with them also, all right. 12 And that's what -- when I was talking
13 about cleanup levels and the development
14 of the TEF concept, it was only four
15 dioxins and furans, all right.
16 The attempt by the EPA to roll
17 those coplanar PCBs into the overall
18 structure is fairly recent, okay. That's
19 not been done until this latest dioxin
20 reassessment, so when I'm talking here
21 about the TEQs, I'm talking about the
22 TEQs for the dioxins and furans in those,
23 not the TEQs for the PCBs. That would be
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1 an addition onto the TEQ if we were
2 talking about those.
3 Q. And I think you're referring to 4 table six in that paragraph; right? 5 A. Yes.
6 Q. And in your responding to or
7 criticizing or however you want to
8 determine it in this February 14th, 2000
9 health consultation?
10 A. Yes. 11 Q. And in table six what they say - 12 let me find it. I had it. Table six
13 says total blood PCBs, dioxin toxicity, 14 TEQs and levels and year of the birth, 15 blood dioxin/current/coplanar PCB 16 analysis. 17 A. Right. 18 Q. That's what I'm confused by. 19 A. If you look at the table, the first
20 column is reference number for the 21 person. 22 Q. Right.
23 A. The second number is total PCBs.
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1 Q. Right. 2 A. Third and fourth column are the sum 3 TEQs for dioxins, furans, and PCBs in 4 blood where the third column is without 5 the PCBs included and the fourth column 6 is with the PCBs included. 7 And when I'm talking 8 specifically here about that, you know, 9 maybe I wasn't clear here, but I was 10 talking primarily about the withouts. 11 I'm talking about the TEQs from the 12 dioxins and furans, not from the PCBs. 13 Q. All right. 14 A. Now, that person, because he has 15 higher PCBs, I think it's number one, 16 obviously, if it's the highest, is going 17 to have, with the PCBs, a higher number 18 than the others also because he's got 19 more PCBs, so that would just make sense. 20 But that comment was really addressed to 21 this without the PCBs column -22 Q. Okay. And then you mention the -23 A. -- because I think I say one
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1 seventy-nine, don't I, in there? I 2 thought I just saw where I said the
3 person -4 Q. I think you did somewhere. 5 A. Anyway, that's the confusion
6 because you can do TEQs with PCBs or TEQs
7 without the coplanar PCBs and my specific
8 comment there was addressed to just the
9 dioxin and furan analyses part of the --
10 Q. Person nine, the magnitude of OCDD 11 level, in person nine, clearly suggests 12 that she had some unique exposure to
13 dioxin? 14 A. OCDD, octidioxin, which is -- it 15 counts, but it's the weakest of the lot. 16 Q. What was her level of PCBs? 17 A. Of PCBs? 18 Q. Right, number nine? 19 A. Her total PCBs was one hundred three
20 parts percent billion. 21 Q. And her TEQs? 22 A. Was sixty without the PCBs and two
23 hundred ninety-two, but the octidioxin
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1 doesn't account for much TEQ because its 2 factor is one ten thousandth so you
3 multiply its concentration by one ten 4 thousandth to calculate a TEQ, so it 5 doesn't really contribute much.
6 Q. Why do you say that she had some
7 unique exposure to OCDD?
8 A. Because her OCDD level is very high.
9 Q. Okay.
10 A. Compared to everybody else in the 11 population and compared to national 12 backgrounds and compared her other dioxin
13 and furan levels. It was just out of 14 whack with the pattern you would expect 15 to see. 16 Q. How would you explain that? 17 A. How would I explain it? I would 18 explain it as a lab analytical error. It 19 could be -- OCDD is a product of
20 combustion. I mean, if for some reason, 21 she was around a lot of forest fires or 22 burned a lot of trash or something, you
23 could do it, but I think it's probably an
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1 analytical error. It's just sticks out 2 so badly. I can't -- you know, in my
3 comments, I couldn't speculate on it. 4 I'm just saying it sticks out. 5 Q. All right. On page fourteen of your
6 letter, I think you're talking here about
7 some, I guess, soil samples, yes.
8 "Solutia suggests that the agency avail
9 itself of all avenues to ascertain the
10 conditions under which samples were 11 collected by agents of the plaintiffs' 12 attorneys. It is Solutia's understanding
13 that many of the samples were collected 14 in areas calculated to maximize potential 15 soil levels such as downspout." Can you 16 tell me who you're referring to? 17 A. To what plaintiff's attorney I'm 18 referring to? 19 Q. No, agent.
20 A. I mean, those data were all supplied 21 by the plaintiffs' attorney in the 22 Abernathy litigation, so I'm talking
23 about whoever collected the samples.
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1 Q. You don't know particularly who that 2 was, not attorney but -
3 A. I'm tempted to say Mr. Bonner or Dr. 4 Bonner, but I don't know that for a 5 fact. I could be wrong on that. I'm
6 tempted to say that's who it was and,
7 again, let me -- I'm not saying he did
8 anything wrong.
9 Q. I understand.
10 A. I'm just saying it wasn't an average 11 value. My understanding was that they 12 went to areas on the property where they
13 expected the levels to be the highest. 14 Q. Well, you go on to say that "our 15 understanding is based on the deposition 16 testimony of one of the persons who 17 performed soil sampling for the larger of 18 the two plaintiffs' groups. For 19 instance, we will provide relevant
20 sections of that deposition to ATSDR upon 21 request." 22 A. Yes, and I don't think that was ever
23 requested and I don't think we did.
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1 Q. You don't know who you're referring 2 to?
3 A. I think it was Dr. Bonner. 4 Q. Dr. Bonner? 5 A. I think so, but I could be wrong.
6 Q. Okay. Now, any area you refer in
7 here as under other pathways, you say
8 that in Monsanto, in 1970 or '71,
9 Monsanto became aware that hogs were 10 being raised on or near Monsanto property
11 on an area that had been used for waste
12 disposal. Can you specify what area you 13 -- do you know what area you're talking 14 about? 15 A. It was somewhere on the south 16 landfill. More specifically than that, I 17 don't know. That's my understanding. 18 Q. The hogs rooting around in this 19 secluded area were possibly being exposed 20 to waste materials. Do you have any
21 information as to whether or not these
22 hogs were analyzed as far as PCB levels? 23 A. I believe they were not.
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1 Q. Was there ever any time that logs 2 were analyzed?
3 A. My understanding is I think it's 4 covered by people's testimony. My 5 understanding is that a hog was found
6 dead on Solutia property, that its PCB
7 levels were measured and found to be
8 elevated, and that, based on that, people
9 from the plant found that there were
10 other hogs on the property and that those 11 hogs were purchased but were not tested. 12 Q. Was there any analysis done on the
13 hog that was, in fact, the initial hog on 14 the liver? 15 A. I don't know what was -- I do not 16 know what was specifically tested. I 17 don't know. I think the fat was, but I 18 don't know whether the liver was or not. 19 Q. And I think y'all found the map or a
20 map? 21 A. Yes. 22 MR. KELLY: Can we go off the
23 record?
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1 MR. RODEN: Yes, okay. 2 (Whereupon, a short discussion
3 was held off the record at 4 this time.) 5 MR. RODEN: Make a note we're
6 going to mark Exhibit No. 7 1 and we're going to 8 substitute it for a copy.
9 (Whereupon, Plaintiff's Exhibit
10 No. 1 was marked for 11 identification.) 12 Q. All right, Dr. Kaley, just for
13 purposes of identifying, just tell me 14 what we are looking at? What is this? 15 A. This is a map supplied by the 16 Environment Protection Agency which 17 designates by number with one exception, 18 one of them is by letter, areas in the 19 north and east of the Monsanto plant
20 which were to be tested for -- which 21 residential properties were to be tested 22 to determine if PCBs were present in
23 those properties in five point composite
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1 samples above ten parts per million. 2 Q. And is this the same legend that has
3 been attached to the proposed order as 4 pending? 5 A. This is an attached -- this is part
6 of an attachment to the proposed consent
7 decree, but it is -- what's really
8 attached to the proposed consent decree
9 is the administrative order of consent
10 dated -- I think it was October 3rd, 2001 11 to which this is an attachment or an 12 exhibit, so it's an attachment to an
13 attachment. 14 Q. Okay. What was the purpose, again, 15 of this particular map? 16 A. The purpose of this map was to 17 delineate and prioritize areas for 18 sampling for Solutia under the terms of 19 the consent order.
20 Q. And then the proposal, its function 21 is the same under the proposed consent 22 decree?
23 A. I don't think so. I think -- well,
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1 I don't know that the Anniston PCB site 2 enclosed as defined in the proposed
3 consent decree is exactly the same as 4 that. I do not believe it is. I think 5 it is a much larger area, but the consent
6 order is going to be rolled into the
7 consent decree and will continue to be
8 executed so, in reality, as far as I
9 know, all this still addresses properties
10 which will be sampled the ten part per 11 million removal action. I don't know 12 that this drives either the sampling or
13 the additional sampling for the consent 14 decree. 15 Now, I do know that the 16 properties identified in the sampling 17 under the consent order which have 18 greater than one part per million, 19 assuming everything is approved in the
20 courts, etcetera, will be cleaned up 21 under the terms of the consent decree 22 when it's executed. Sorry, that got very
23 confusing.
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1 We have sampled -- the consent 2 order told us to go out and sample
3 residential properties in these areas. 4 Q. And you sampled how many? 5 A. I'm going to say nine hundred. I
6 could be wrong. Mr. Branchfield would
7 know. I'm going to say nine hundred,
8 okay. We did five-part composites, okay,
9 with the primary goal of identifying
10 those with greater than ten of which 11 there were, I think, twenty-eight or 12 something like that, mid-twenties, and
13 those ten were to be cleaned up in 14 accordance with the consent decree. 15 We've done that on thirteen, twelve, or 16 so. I think it's twenty-five. We've 17 done thirteen. Twelve, we were access by 18 the plaintiffs' attorneys or the owners' 19 attorneys.
20 Q. Okay. 21 A. In doing that, some of these 22 properties were found to have one to ten
23 parts per million PCBs. The consent
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1 decree will address cleaning up those 2 properties and those properties with
3 levels between one and ten will be 4 cleaned up under the terms of the consent 5 decree.
6 What I don't know is, for sure
7 sitting here, is if additional sampling
8 is required outside of these areas. I
9 don't know that as I sit here.
10 Q. So you don't know if the consent 11 decree expounds on this particular area? 12 A. As I sit here, I do not know the
13 answer to that. 14 Q. But my question is -- assume just 15 for the sake of this question that the 16 map, whatever the map is, whether it's 17 this map or another map, it is what it is 18 and you're saying the sampling will be 19 conducted only in these areas; is that
20 correct? 21 A. Certainly, under the consent order, 22 that is correct.
23 Q. And it would be true on the consent
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1 decree, it would follow a map whether 2 it's this map or another map?
3 A. I believe that would be correct. 4 Q. So if a piece of property is outside 5 these zones, would they ever be tested
6 under the consent decree?
7 A. You're stretching my knowledge of
8 the consent decree. My belief is that
9 they would not be.
10 Q. Okay. 11 A. Now, can I make just one more 12 addition just to clear things up?
13 Q. Sure. 14 A. There is one additional area that is 15 not shown on this map. It is called Area 16 OLN, all caps, which stands for Oxford 17 Lake Neighborhood and that's a little 18 area down by the Oxford Lake softball 19 complex down off Highway 78 so that's
20 also included in the consent order, but 21 it's not on this map. 22 Q. What prompted that?
23 A. The discovery of a couple of yards
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1 there that had PCBs in them. 2 Q. Was that through some litigation?
3 A. No, it's part of our investigation 4 along our -- well, I think it was 5 actually prompted by a request by one of
6 the residents there to have his property
7 sampled because we had been doing work
8 along that neighborhood and my
9 recollection is he had taken sediments
10 from the creek and put them up in his 11 yards, so we tested an additional group 12 of properties down in that area.
13 Q. What is the significance of the zone
14 up ii 9
15 A. I don't recall right offhand. I 16 think that's an area near Quintard Mall, 17 but, again, I could be wrong, and why 18 "F", I have no clue. 19 Q. This map is entitled "Zones and
20 Drainage Area for Remediation". 21 A. Yes. 22 Q. And again, I have asked you this
23 once before; do you have any knowledge of
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1 the basis for these zones? 2 A. Well, I mean -- the basis for the
3 overall map is drainage. I mean, our 4 plant sits in this big blank area to the 5 lower -- as I'm facing it -- lower
6 left-hand corner of the map. Our plant
7 area is here (indicating) so that on the
8 right side of the map, Snow Creek runs in
9 a generally vertical manner going to the
10 left. On the upper portion of the map, 11 is an area that is the Ninth Street's 12 ditch and the Eleventh Street's ditch
13 which are drainage areas from our plant, 14 and then an area from the drainage from 15 the west end landfill, which is primarily 16 the Ninth Street ditch, so that provided 17 the focus for these areas because that's 18 where EPA and Solutia had found PCBs 19 primarily.
20 So it was basically here's the 21 drainage pathway, we're going to move 22 away some direction or some amount, and
23 you can see it varies depending on where
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1 people lived and where our plant was, 2 we're going to move away from those
3 drainage areas some distance not defined 4 and label them as these areas and that's 5 how it was generated to my understanding
6 Q. That's what I assumed, but I wanted
7
8 A. It's clearly drainage pathway
9 driven.
10 Q. And could be what some people may 11 call the flood plain? 12 A. Well, it's much larger than the
13 flood plain. There are maps of the flood 14 plain and they're certainly included in 15 here, but this map is much larger than 16 the flood plain. 17 Q. When you say much larger, can you 18 quantify as far as feet or yards? 19 A. Well, it depends. Some places, it's
20 very narrow and some places, it's very 21 wide depending on what the flood plain 22 looks like and whether the streams are
23 constricted or not in those areas, so I
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1 really can't generalize. 2 Q. Under the consent decree, the
3 proposed consent decree, would all 4 properties in these zones be tested? 5 A. Probably not each property. Going
6 back to what we discussed earlier, that
7 as we gather more and more information by
8 our sampling, it is possible,
9 statistically, to make some predictions
10 about whether PCBs are likely or not 11 likely to be in a given area and, subject 12 to EPA's approval, we can terminate
13 sampling in a given zone if we can 14 statistically demonstrate to the EPA's 15 satisfaction that we're not likely to 16 find PCBs in those yards. 17 Q. But as you start the process, let's 18 say you start in Zone 1 - 19 A. I'm not sure which one was first.
20 Two and three were clearly the highest 21 priority. 22 Q. So not No. 1?
23 A. No. These are not labeled by
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1 priority. 2 Q. So two and three is considered high
3 priority? 4 A. I believe. I think that's what it 5 was. It says it in the consent decree
6 specifically.
7 Q. Would you necessarily test every
8 piece of property in zone two and three?
9 A. No, you would test every piece of
10 property nearest the drainage things, 11 moving away, and if you got to the point 12 to where we and the agencies were
13 comfortable that we weren't finding PCBs 14 anymore, we could terminate even in those 15 high priority zones. 16 Now, I believe, and, again, I'm 17 moving a little further than I should, I 18 think we've only terminated samples in 19 one zone and I don't remember which one
20 it is. Otherwise, we have not been able 21 to demonstrate that is my recollection. 22 Q. You don't know if it's No. 1 or -
23 A. I believe it's No. 3, but I don't
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1 know. I'm speculating. I shouldn't even 2 be talking about this.
3 Q. What documents or what would I look 4 to to see that? 5 A. There would be correspondence
6 between us and the EPA.
7 Q. Okay. And as far as Zone 1, has
8 there been testing been done to it?
9 A. I'm sure there has. I don't know.
10 Q. Again, that may be Mr. Branchfield? 11 A. Clearly. Clearly, Mr. Branchfield. 12 Q. Here's my question now: assume that
13 this Exhibit No. 1 is, in fact, the map 14 or assume it's the next map, whatever. 15 A. Yes. 16 Q. It's my understanding, then, if I 17 have clients outside these zones, their 18 property would not be tested for PCBs 19 under the consent decree?
20 A. That would by my understanding, yes. 21 Q. And whatever properties are tested 22 and the soil is found to have one part
23 per billion --
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1 A. Million.
2 Q. Million, excuse me.
3 A. With an "M" .
4 Q. -- with an "M", be cleaned up?
5 A. We would make the offer to clean it
6 up.
7 Q. And what would be the procedure for
8 cleaning it up?
9 A. Removal of, basically, the top one
10 foot of soil from the property and
11 testing to be sure that some level isn't 12 present underneath that one foot and then
13 the one foot would be replaced with clean
14 soil and revegetated.
15 Q. So if you clean the one foot off and
16 then you test it again and still have one
17 part -
18 A. No, I think it's ten at the one-foot
19 level. I think it's ten.
20 Q. Okay. It goes to ten?
21
A. It goes to something else.
I think
22 it's a ten and that's consistent with
23 EPA's spill cleanup policy for
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1 residential areas which has been in place 2 for a number of years.
3 Q. Have you known -- have you known or 4 has it been known or has there been 5 findings, I guess, of higher levels of
6 PCBs than one part per million outside
7 the zones that we're looking at here in
8 Exhibit No. 1?
9 A. I don't know specifically. I do not
10 know. 11 Q. You don't know one way or the other? 12 A. I don't know. I don't have that
13 kind of detailed knowledge. 14 Q. Have you seen any type of a map that 15 shows the various samplings that have 16 been done in the Anniston area and the 17 levels of PCBs found? 18 A. Yes, I believe I have seen such a 19 map.
20 Q. And you don't recall any of those 21 maps showing PCB levels being shown 22 outside the zones?
23 A. I don't know whether I have seen it
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1 superimposed on these zones or not. 2 Q. Okay. The Tox Profile we talked
3 about earlier, I'm sure you're familiar 4 with? 5 A. Yes.
6 Q. And I assume you know -- is it Dr.
7 Copland?
8 A. I mean I know who he is. I've seen
9 him. I've heard him speak. He certainly
10 wouldn't know me. Oh, he's written me a 11 letter so he may know me. 12 Q. Tell me, what is, in fact, the Tox
13 Profile? What is it for? 14 A. Under the terms of the act creating 15 ATSDR, the Agency for Tox Substance and 16 Disease Registry, one of the things which 17 is actually funded by EPA's superfund 18 money, one of the things they were tasked 19 to do was prioritize chemicals that were
20 found at superfund sites. 21 Q. Okay. 22 A. So they have got lists of how many
23 superfund sites benzene was found or
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1 asbestos was found or PCBs were found, 2 okay. That lists exists.
3 Q. I think I have that somewhere. 4 A. Yes, and it's almost universally 5 misinterpreted. Okay, based on that
6 list, EPA or ATSDR is then commissioned
7 to either do or hire contractors to do,
8 which is what they always do, an
9 expensive literature review of everything
10 that is known or everything that is found 11 in the literature about, primarily, the 12 toxicity of that particular compound, so
13 there are dozens if not hundreds of 14 toxicological profiles for a wide variety 15 of chemicals, so that's what they are. 16 This is one in a huge series. 17 Q. And -18 A. And they are periodically revised. 19 I think this is the third revision of the
20 PCB Tox Profile. 21 Q. Is this the current -22 A. It's the most recent, yes.
23 Q. And is this, and I think I asked you
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1 this earlier, it says it's peer 2 reviewed.
3 A. It is peer reviewed in the sense 4 that ATSDR contracted with some number - 5 generally, it's like three scientists to
6 review it and make comments.
7 Typical peer review, in the
8 sense that it's usually meant, is an
9 anonymous process whereby an absterer a
10 draft paper is sent by a journal to, as I 11 said, anonymous scientists with knowledge 12 in the field to the review and make
13 comments and those are then supplied to 14 the author to make adjustments as they 15 would. So this is not an anonymous peer 16 review, but three scientists or so, in 17 this case, many more did, in fact, review 18 this document. 19 Q. Okay. There are certain parts of
20 this you agree with and certain parts you 21 don't agree with, I assume? 22 A. Yes. I'll say yes for now and see
23 where you go with it.
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1 Q. The reason I asked, is this an 2 authoritative document for people such as
3 you to look at to rely on as an 4 authoritative? 5 A. To the extent that the document is a
6 compilation of literature information on
7 toxicity, environmental behavior,
8 environment levels, a number of things
9 out of the literature that were reviewed
10 incorporated, yes, I would agree that it 11 is an authoritative document and is 12 relied upon and I rely upon it to the
13 extent that interpretations based on that 14 literature are superimposed on the 15 factual basis of the document. I have 16 some problems with the way things, some 17 of the things that are said, but usually, 18 more the way they are said. 19 Q. Okay, well let me just ask you, it
20 its says here under Summary of Health 21 Effects, Chapter Two, "Health effects 22 that have been associated with PCBs in
23 humans and/or animals include liver,
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1 thyroid, dermal, ocular, immunological, 2 alterations in neurodevelopment, mental
3 changes, reduced birthrate, reproductive 4 toxicity, and cancer." Is that one you 5 would not agree with?
6 A. No, I will agree with it because it
7 says humans or animals and that's the
8 problem with that statement. Let's
9 separate it out.
10 What do they say in humans? 11 Now, I might not agree with that, but I 12 agree that in humans or animals, I think
13 most of those things -- I don't know 14 about every single one of them, but I 15 think most of them have been associated 16 in some study or another. 17 And again, I think that 18 illustrates my problem with the document 19 in that it lacks for clarity in some
20 instances. 21 Q. Okay. Let's take about a 22 five-minute break.
23 (Whereupon, a short recess was
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1 taken at this time.) 2 Q. I think I've gone over this, Dr.
3 Kaley. Let me ask you one thing. This 4 is the letter or, excuse me, the health 5 consult of February of 2000 and I think
6 we've talked about this, but on page six
7 my copy which is, you're right, it's off
8 the internet, so it's going to be
9 different, but when they talk about the
10 persistency of PCBs and the half lives of 11 PCBs and they talk about the fact that if 12 one -- let's see, talking about the range
13 of half lives being from what? 14 A. Three to twenty four. 15 Q. Three to twenty-four, and basically 16 say that if one has a level today, their 17 level fifteen years ago would be twice as 18 high or something like that. You don't 19 agree with that statement?
20 A. No. 21 Q. I think you voiced that in your 22 letter; correct?
23 A. Well, I think the most important
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1 thing in this paragraph is the chain of 2 if s.
3 Q. Okay. 4 A. I mean, if you assume everything 5 they're assuming here is correct, then I
6 think their chain is not necessarily -
7 doesn't come to the wrong answer with all
8 those assumptions, but I think I would
9 have arguments, possibly, about every one
10 of those ifs, you know, I mean, if 11 exposures did happen years ago. 12 Well, maybe they did and make
13 they didn't. We don't know. And I think 14 somebody that has a very low level today, 15 we don't know whether that came from 16 today, ten years ago, twenty years ago, 17 thirty years ago. It's very low. It's 18 below or right at background anyway. To 19 extrapolate that back just doesn't make
20 sense, so I mean that's an if. 21 The estimated biological half 22 lives for total PCBs; well, we've talked
23 about -- that's total PCBs. We talked
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1 about all the uncertainties in that. The 2 three to twenty-four years, it's a big
3 difference whether they use three years 4 or twenty-four years on the half life. 5 And then I don't know what
6 reference fourteen is. You know, I would
7 have to look and see who did that work.
8 But then they say, I mean, they are
9 making -- if the elevated levels were
10 caused by exposures that happened twenty 11 years ago, you know, then. 12 They have set up a construct
13 here which I don't argue with, you know, 14 if you agree with all their assumptions, 15 you may get to the point they do, but I 16 don't -- there's all sorts of 17 uncertainties around those assumptions, 18 so I don't think you can take this 19 paragraph to say that you can
20 automatically do it. 21 Q. And so you don't agree -- from what 22 you just said, I assume you don't agree,
23 and I can't cite who says this, but that
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1 levels of PCBs found in the general 2 population of Anniston, Alabama is much
3 higher than the general population found 4 throughout the country? 5 A. No, I think the levels in some
6 individuals are higher than levels found
7 in other environmentally exposed
8 populations, but I don't think you can
9 make a general statement about the
10 population of Anniston, Alabama. 11 Most of the people that have 12 been looked at in the course of this
13 litigation which is, I don't know what 14 percentage of the people of Anniston it 15 is, but whatever it is, most of those 16 have been nondetects. 17 Q. Meaning, again, nondetect meaning 18 what? 19 A. Meaning nondetect in terms of what
20 the laboratory could detect or not. I 21 mean, less than three parts per billion, 22 less than five parts per billion,
23 whatever it was, and another significant
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1 proportion of what I call background 2 range, so I don't think you can make
3 statements about the whole population of 4 Anniston, Alabama. 5 There are individuals who have
6 levels that are higher that have been
7 reported in background levels in other
8 studies, but I don't think you can make a
9 generalization about the whole
10 population. 11 Q. Okay. Now, in this letter or this 12 health consultation, they talk, and I
13 think you referred to this on the soil 14 sampling and dust sampling. In table 15 nine, they talk about the samples that 16 are were taken in various locations, and 17 I want to you ask you do you know exactly 18 where or do you know generally where 19 those soil samples were taken?
20 A. Well, I mean, I may have at one 21 time. I don't right now. As I'm sitting 22 here, I don't even -- oh, community group
23 one. Okay, I was going to say I didn't
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1 even know what CG-1 and CG-2 are. That's 2 community group one and community group
3 two. No, I don't know -- I mean, 4 obviously, there's six hundred fifty-five 5 samples from community group one. Those
6 are all plaintiff properties from Mr.
7 Stewart's clients. I don't know where
8 each one of those are.
9 Q. And it mentions some of those were
10 taken outside of the flood plain? 11 A. Yes. For instance, community group 12 one, it says in flood plain connected to
13 Solutia and for GC-1 it says mostly no. 14 Q. And were those in CG-1, that testing 15 in CG-1 outside quote "the flood plain" 16 where they found -- did they find high 17 levels of PCBs? 18 A. You can't tell from this graph and I 19 don't know without looking at individual
20 properties. 21 Q. But again, the position Solutia 22 takes, if in fact, that did occur; that
23 is, if high levels were found, it got
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1 there some other way other than through 2 the drainage ditches, etcetera?
3 A. Yes. 4 Q. I.e., field dirt for instance? 5 A. Yes.
6 Q. Is that the main source of that?
7 A. In my opinion, as far as I know,
8 yes. Now, I would also add that that
9 doesn't mean we're not cleaning them up
10 if they're in the areas that we've agreed 11 to clean up properties. We're still 12 cleaning them up.
13 Q. Like the OLN, the Oxford Lake 14 Neighborhood, for instance? 15 A. Right. 16 Q. For instance, CG-1, the six hundred 17 fifty-five samples outside, most of them 18 being outside of what the call the flood 19 plain?
20 A. Right. 21 Q. The maximum was eight hundred forty 22 part per million?
23 A. Yes.
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1 Q. That's pretty high, is it not? 2 A. For a residential property, yes, I
3 would admit that's elevated. 4 Q. And in the range of the top ten, I'm 5 not sure I understand the range,
6 seventeen point four to eight hundred
7 forty?
8 A. Well, if you rank them one through
9 six hundred fifty-five, number one was
10 eight hundred forty and number ten was 11 seventeen point four and they went down 12 from there.
13 Q. Okay. 14 A. That's the range of the top ten 15 samples, so obviously, it drops real 16 fast. 17 Q. Okay. 18 A. But I don't whether that eight 19 hundred forty or the seventeen was in or
20 out of the flood plain. That's why I 21 can't answer your question. I don't know 22 where those samples were. Those top ten
23 may have very well been all in the flood
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1 plain. 2 Q. You don't remember that?
3 A. I don't know if -- no, I doubt if I 4 did know at one time. 5 Q. Now, I recall seeing something and,
6 again, it may have been a newspaper
7 article, I can't tell you, but, something
8 about Solutia and/or Monsanto using
9 mercury in their processing?
10 A. Yes. 11 Q. What exactly would that use mercury 12 for?
13 A. Mercury was used in the process -14 we made chlorine at the Anniston plant 15 from the mid-1950s, I want to say 1955 to 16 1969 and the process we used is an 17 electrical chemical process and mercury 18 was used as one of the electrodes in that 19 process.
20 Q. Did you say '55? 21 A. Yes. 22 Q. To '69?
23 A. I believe it's that general time
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1 frame. I know the '69 is right. I'm not 2 so sure, it could have been '54 or
3 something like that. 4 Q. And was this mercury used on a 5 closed loop basis?
6 A. Yes. That was certainly the intent.
7 Q. Meaning it was recirculated or
8 recycled or whatever?
9 A. Yes.
10 Q. And was there any determination made 11 at any time that some of this mercury was 12 being lost in the environment?
13 A. Yes, there were discussions, 14 certainly, efforts to control that from 15 happening which would suggest that there 16 were some amounts being lost in the 17 environment, yes. 18 Q. And when were those efforts made? 19 A. In the mid- to late-60s primarily.
20 Q. And was that successful? 21 A. To a large extent, yes. 22 Q. What do you mean?
23 A. Well, you can't ever get it -- there
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1 are parts -- some of the kinds of mercury 2 that ended up being in discharge waters
3 are much more difficult to control than 4 others so if the elemental mercury, the 5 little shiny silvery stuff we're all
6 familiar with, which is what we used
7 primarily, that's fairly easy to
8 control. You can separate it out. You
9 can see it. But once -- some of it
10 reacts to soluble water, soluble forms of 11 mercury, and then those are much more 12 difficult to control although efforts
13 were made. 14 Q. Has there been some heated debate, 15 if you will, about whether or not Solutia 16 admitted that there had been some 17 discharged into the drainage ditches of 18 Anniston? 19 A. I do not believe there's heated
20 debate about whether. I think, 21 certainly, there was an article in the 22 Anniston Star and I responded to that
23 article and I think that the levels, the
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1 numbers they were reporting in that 2 article were overestimates of any mercury
3 that could have been lost to the 4 environment. 5 Q. What was their estimates; do you
6 recall?
7 A. I don't remember. It was very
8 large.
9 Q. And you responded to them by saying
10 there was no way that it was that large? 11 A. Yes. 12 Q. Was there an effort made by Solutia
13 or Monsanto to determine what 14 quantitative amount was being lost? 15 A. I did an extensive review of the 16 available documentation and my conclusion 17 was that it was not possible to make that 18 determination, but also pointing out that 19 it, in some ways, didn't matter what it
20 was because we and the EPA have looked 21 for mercury in the drainage pathways and 22 residential yards, to some extent, and in
23 the waterways and mercury is not there at
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1 elevated levels. 2 Q. Well, as I understand, there were
3 attempts, at least in the seventies, or 4 the late-sixties, I guess, to determine 5 what level of PCBs were escaping?
6 A. My recollection of my document
7 review was that there were attempts to
8 limit losses of mercury in the process,
9 but many of those losses were on-site
10 losses and that's where I think the 11 difficulty -- somebody took a number that 12 was including on-site and off-site losses
13 and projected what that would be if they 14 were all off-site losses and that's how 15 that huge number got generated. 16 The documents are clearly - 17 many of those losses were losses that 18 were on-site or materials that were 19 recovered and later put back in the
20 process and things like that, so there 21 were clearly efforts to look at where the 22 process is mercury was lost and what can
23 we do to stop it and, you know, part of
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1 that is what can we do to keep it from 2 get in the environment, but a lot of it
3 was what can we do to control it in our 4 process. 5 Q. When you say on-site loss, how would
6 that -
7 A. Spill on the ground. Leaky -- they
8 were in these big cells. The cells
9 leaked to some extent, things like that.
10 Things that we can do to, you know, 11 recover things better. I don't remember 12 exactly what they all were.
13 Q. Do you recall, in analyzing the 14 documents determining how much was spent 15 on mercury on an annual basis? 16 A. I think that number is actually in 17 there. I don't know what it was, but it 18 was a significant amount of money and, 19 frankly, there was an economic impotence
20 to recover the mercury because it was 21 expensive to replace. I believe that 22 number exists. I don't remember what it
23 was.
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1 Q. What about the loss or was there any 2 lead used in the process?
3 A. For a short period of time, there 4 was lead used in the process to make 5 biphenyl which is the starting material
6 for PCBs. It was basically done in lead
7 pots .
8 Q. And in what period of time?
9 A. I should know, but I don't
10 remember. Probably started -- it was 11 probably from early on and I think we 12 started changing those out in the
13 mid-fifties, but as I'm sitting here 14 today, I don't remember the dates on 15 that. 16 Q. Do you remember whether or not there 17 was an effort made to prevent the escape 18 of the lead into the environment? 19 A. Yes. Well, part of it -- I mean it
20 was called a lead pot process and there 21 was really very little chance for lead to 22 escape in the environment anyway, but,
23 again, my recollection of my review was
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1 that there was essentially no chance for 2 lead to get out of that process from our
3 facility. 4 Q. So there was no lead escaped as far 5 as you know?
6 A. Not at measurable levels, I don't
7 believe.
8 Q. Has that been questioned in the
9 recent past?
10 A. Not really. I think -- I don't 11 believe so. 12 Q. Well, I didn't know if that
13 particular article, and I don't remember 14 the article myself, but whether it 15 addressed mercury and lead or just 16 mercury? 17 A. Well, I don't remember either. There 18 was one on -- I think there was at least 19 one article on both and then your
20 question tweaked one of the -- I think 21 there was a recent article on one of 22 them, kind of a review of where it was,
23 but I thought that was the mercury one.
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1 Well, it may have been the lead 2 one actually, because of the lead site
3 health consultation that was released so 4 it may have been the lead. I don't 5 remember. I mean, the articles are
6 obviously out there to be checked, but I
7 don't think anybody's questioned what
8 we're saying about our use of lead in the
9 facility.
10 Q. No, I'm talking about the escape of 11 the - 12 A. I don't think anybody is even
13 questioning that, whether significant 14 levels had escaped. I'm not aware of 15 that, and, again, we have done lead 16 sampling around our site and really have 17 not found any evidence that the site is 18 contaminated with lead. 19 Q. Now, I'm going to switch back over
20 here to the AST -- the Toxic Profile on 21 the area of cancer that we've both talked 22 about, I think, extensively today, but
23 let me just ask you a couple of things
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1 about that profile. 2 "Carcinogenesity of PCBs in
3 humans has been investigated in 4 retrospective occupational studies that 5 evaluating cancer mortality in worker's
6 exposure in capacity, manufacturing, and
7 repairing," and I think that refers to
8 the Bertazzi and the Brown and the other
9 studies, I assume?
10 A. Yes. 11 Q. "And in case control studies of the 12 general population, they examined
13 associations between cancer and serum or 14 out of those tissue levels of PCBs based 15 on indications of PCB-related cancer at 16 several sites, particularly the liver, 17 bilary tract, intestines and skin, 18 melanoma, the human study provides 19 suggestive evidence that PCBs are
20 carcinogenic." 21 Would you agree with that 22 statement that it's suggestive evidence?
23 A. I would agree with that in the terms
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1 that suggestive is used and those 2 agencies that rate carcinogenicity, that
3 it probably meets the criteria for that. 4 Q. Well, let me talk about that, and 5 maybe I don't understand what you guys
6 mean by suggestive because I made
7 comments earlier that, you know, law and
8 medicine don't mix and I guess it's the
9 same way with science and law don't mix,
10 so what does suggestive mean in the 11 scientific field? 12 A. Well, primarily, the term
13 "suggestive" comes out of IARC, capital 14 I-R-A-C, you why which is the 15 International Agency for Research on 16 Cancer, and like the EPA, IRAC has a 17 carcinogenicity rating scheme for 18 chemicals and their scheme is based on 19 two and maybe two and half criteria.
20 The first criteria is animal 21 carcinogenicty and if something is an 22 animal carcinogen, it automatically
23 becomes a probable human carcinogen in
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1 that scheme, so it doesn't matter if we 2 have any human data at all.
3 Q. Okay. 4 A. Then they look at the human data and 5 if there's any report of any association
6 they typically call that suggestive. So
7 they look at it and they say it's
8 inadequate, it's suggestive, or it's
9 conclusive, all right.
10 So the people on that 11 committee, one of which -- the committee 12 was headed by Bertazzi who has written
13 one of the studies, uncoincidentally 14 enough, made a determination that based 15 on Bertazzi's study and others, that 16 there were enough associations reported 17 in that literature to call it 18 suggestive. But it certainly did not 19 rise to the level of conclusive which
20 would have made it a known human 21 carcinogen. 22 Q. And when you say a know or
23 conclusive is that -- can you quantify --
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1 is that ninety nine percent? 2 A. No. I don't know what it is. In
3 IRAC's assessment, in general, it means 4 that -- they just basically put together 5 a group of scientists and that group of
6 scientists, some of them look at the
7 animal data and some of them look at the
8 human data and if the group looking at
9 the human data does a weight of the
10 evidence assessment concludes in their 11 minds that there's enough human data on 12 that compound, there are enough positive
13 studies, there's consistency, there's 14 strength of association, all those 15 Bradford Hill criteria, I'm sure you have 16 heard about until your ears are full, 17 then they will make that determination. 18 Q. That it is -19 A. That it is a known human -- that the
20 human information is conclusive. I think 21 the term they actually use is "adequate", 22 and that it is a known human carcinogen.
23 Now, we have talked about
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1 dioxin, and they bent their rules on 2 dioxin because the human epidemiology
3 group decided that there was not enough 4 information on dioxin to call it a known 5 human carcinogen, but the overall
6 committee -- I'll save my rhetorical or
7 editorial comments -- the overall
8 committee decided that there was enough
9 known about the mechanism of the cancer
10 in animals and the fact that that 11 mechanism probably occurred in humans 12 that they were going to name it a known
13 human carcinogen even in the face of 14 inadequate information, so they kind of 15 tweaked the -16 Q. What is the difference between 17 probable suggestive and conclusive? Is 18 conclusive synonymous with known 19 carcinogen?
20 A. If the animal and human evidence are 21 conclusive then it becomes a known human 22 carcinogen under their classification
23 scheme.
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1 Q. And if it's suggestive, it becomes 2 probable?
3 A. It remains probable. 4 Q. Okay. So you may have animal 5 studies that show -
6 A. Are conclusive.
7 Q. Are conclusive, so therefore, it's a
8 probable causation?
9 A. Yes, automatically.
10 Q. If you have human data, it becomes 11 suggestive? 12 A. It can be. I mean, you can have
13 inadequate data which says there's really 14 nothing there or there could be negative 15 human data which would probably still 16 leave it a probable or you could have 17 what they call the suggestive which is, 18 again, in the interpretation, I'm not 19 sure that I would agree with their
20 interpretation even under suggestive. 21 I think there's just too much 22 inconsistency in those studies. But that
23 was what that group said and I'm not
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1 going to, you know, there are positive 2 associations in some studies. I'm not
3 going to argue with that. 4 Q. Would you agree that suggestive as 5 used by this group means that it's more
6 probable than not that it's carcinogenic?
7 A. No.
8 Q. Would it be less likely than not
9 that it's carcinogenic?
10 A. Well, you're asking me to get into 11 the minds of a group of I don't know how 12 many people that were meeting in Leon,
13 France fifteen years ago. I think it 14 means it's less probable than not, but 15 that's based largely on my view of the 16 human literature and not so much on what 17 I think they were really thinking. 18 Q. Well, when they say probable human 19 carcinogens -
20 A. But we're getting back. That's just 21 what they call it because of the animal. 22 I mean, you don't have to have any human
23 data for it to be a probable human
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1 carcinogen. It's just based on the fact 2 that we think we know enough about this
3 chemical, and I don't even care whether 4 it's PCBs or what it is, about this 5 chemical based on animal studies that,
6 as regulators and people chartered to be
7 protective of human health in the
8 overabundance or abundance of caution,
9 we're going to put this label on it which
10 says you need to think about this 11 possibility in your research and in your 12 regulation of this material. It doesn't
13 mean that it has ever caused a cancer in 14 a single person. 15 Q. But PCBs are classified as probable 16 carcinogens; is that correct? 17 A. They're classified as probable human 18 carcinogens, that is correct. 19 Q. And by whom?
20 A. By IARC and the US EPA. 21 Q. And IARC is who? 22 A. International Agency for Research on
23 Cancer.
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1 Q. And who exactly is that? 2 A. It is what it is. I think it's
3 associated with the World Health 4 Organization, WHO, and it's basically a 5 group that that's what they do is they
6 get together and talk about the
7 information available on candem. The
8 primary purpose is to say okay, we've got
9 "X" resources we can spend on cancer
10 research, how are they best spent, well, 11 let's not waste them on things that are 12 non-carcinogens and maybe let's not waste
13 them on things that are known carcinogens 14 because we already know that, let's think 15 about what research could we do on 16 something that we need to learn more 17 about. That's really the kind of purpose 18 of their classification is to guide 19 research into those areas.
20 Q. Does that same agency classify 21 dioxins as known carcinogens? 22 A. IARC classifies dioxins as known
23 carcinogens. I just talked about the
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1 process by which they did that. 2 Q. And as does EPA?
3 A. EPA is trying to do that. They have 4 not. That is one of the controversial 5 proposals of their still draft dioxin
6 reassessment.
7 Q. And as I understand from this
8 afternoon's discussion with you, you
9 don't agree that dioxins even are a known
10 carcinogen? 11 A. I don't agree that the human 12 evidence for dioxin carcinogenicity in
13 humans is sufficient to classify it as 14 known. 15 Q. So you don't agree with IARC; 16 correct? 17 A. I don't agree that dioxin causes 18 cancer in people. 19 Q. And you don't agree with IARC as it
20 relates to PCB being a probable 21 carcinogen or do you? 22 A. I agree that it meets their
23 classification for probable carcinogen. I
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1 don't think it means it probably causes 2 cancer in humans. And I think there is a
3 distinction there. I do not argue that 4 it meets their criteria or EPA's 5 criteria, for that matter, as a probable
6 human carcinogen because it is positive
7 in animals.
8 Q. And it's only positive in animals?
9 A. Pardon?
10 Q. And it's only positive in animals? 11 A. It's positive in only animals. 12 Q. That's the distinction?
13 A. Yes. 14 Q. I probably should have asked you 15 this before we started, but have you 16 reviewed any other matter, specifically 17 in preparation for this deposition or 18 this particular case, the Tolbert case? 19 A. Well, with regard to the Tolbert
20 case, in general, no. I mean, I've 21 looked at the expert reports, I guess, on 22 both sides.
23 Q. Okay.
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1 A. And I've read a couple of 2 depositions so for Tolbert, that's what
3 I've done. 4 For this deposition 5 specifically, I reviewed my -- I have an
6 affadavit, kind of a historical summary
7 affadavit that has been filed in a number
8 of cases. I did review that.
9 Q. Okay. But as far as any data, I
10 know you say you've looked at the expert 11 reports, but have you look at any 12 specific data that might be associated
13 with those experts reports? I think you 14 said, generally, earlier that you -15 A. I've looked at the blood data and 16 I've looked at Hanson's calculations and 17 stuff like that. 18 Q. Is there anything specific about the 19 data, the blood samples and/or the soil
20 samples that you that jumps out at you as 21 being incorrect or do you have any 22 criticisms about it as you did in the
23 letter to the ATSDR?
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1 A. I think there are some obvious 2 inconsistencies between the data
3 generated in the Tolbert case, the data 4 generated by, I think it's Acculab, that 5 the total PCBs and the Access Lab that
6 did the individual congener PCBs and part
7 of that is because I'm not familiar with
8 Access Laboratories and their
9 capabilities to do what I know to be a
10 very difficult analysis so it's hard 11 somehow to rationalize those 12 differences. Some of there are
13 explanable. Some of them aren't. I've 14 thought about it, but I really haven't 15 reached any conclusions. 16 Q. So there's some discrepancies, you 17 say, in Accucam's levels that they found 18 and the total congener or total congeners 19 at least analyzed by Access? Of course,
20 there's going to be differences. I think 21 there are going to be -- strike that. 22 If you take the two hundred
23 nine total congeners and analyze those,
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1 aren't you going to get a higher number 2 as opposed to taking only ten and
3 analyzing those? 4 A. It depends on which ten. 5 Q. Correct.
6 A. And it will be somewhat higher, but
7 not necessarily a whole lot higher
8 because most studies show that about
9 sixty to seventy percent of the human
10 body burden is accountable for about four
11 or five congeners so I would say, you
12 know, you may get a factor of one and a
13 half or two higher just because you're 14 doing all two hundred nine, but you 15 wouldn't expect it to be much more than 16 that. 17 Q. And is that the discrepancy you're 18 talking about; that is, that the factor 19 is maybe three times higher?
20 A. Yes, and I don't remember the data, 21 but there are some that are higher. I 22 mean, some of them are whole blood and
23 some of therm are serum. That's going be
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1 a factor to be a difference, so I think 2 there's some reconciliation that needs to
3 be thought about in some of those data. 4 I don't have any basic objections that 5 one is right and one is wrong, here's why
6 it's right and here's why it's wrong.
7 Q. Okay. You just observe some
8 discrepancies -
9 A. And there's going to be. I mean, I
10 think we talked a little before, too, 11 that the science or art of doing 12 analytical chemistry with PCBs is very
13 difficult. When you do that in human 14 body tissues or any body tissues, animal 15 or human, it is even more difficult 16 because of the very complex matrices. 17 Blood a very complex, very 18 difficult thing to work with to get all 19 the PCBs out, you know, and get them
20 analyzed and things, so there's going to 21 be analytical variations superimposed on 22 both of those laboratory's results.
23 One of the things I don't know
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1 and haven't seen and maybe don't exist 2 are the quantifications of how those
3 laboratories do on a daily basis on a PCB 4 analysis, how wide is their variation. 5 It could be plus or minus twenty percent,
6 it could be plus or minus one hundred
7 percent on just daily variation in the
8 lab.
9 And I haven't seen those kinds
10 data. I don't know if they are even 11 available to help make some of those 12 decisions, but there's nothing in either
13 set of data that I see that says throw it 14 away, you can't rely on it for anything. 15 Q. You just need some explanations as 16 to some of the - 17 A. Yes, I need to think about it more 18 and I haven't. 19 Q. You'll think about it more between
20 now and October? 21 A. Probably. 22 Q. In your letter, again to the ATSDR,
23 an which is dated April 2000, you make
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1 this comment: "It is notable that among 2 the largest group of plaintiffs suing
3 Solutia, not a single physician or other 4 medical expert has opined that PCBs have 5 caused a specific health condition in a
6 specific individual."
7 You have read, have you not,
8 the expert reports in this case?
9 A. Yes.
10 Q. Have you found that there has been, 11 at least in this case, some physicians 12 who have opined that certain plaintiffs
13 exposed to PCBs do have adverse health 14 conditions ? 15 A. Yes, I'm aware of that, but at the 16 time, you weren't the largest group. 17 Q. Okay. We weren't even a group. 18 A. That's right. That was not 19 addressed to your group of plaintiffs.
20 Q. Okay. Have you had any conversation 21 with any physicians concerning the health 22 effects of either this plaintiffs' group
23 or any other plaintiffs' group that you
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1 can recall? 2 A. That's a very broad question. I
3 believe that some of our experts are 4 physicians and with some of our experts, 5 I have probably had some discussion about
6 the health of this plaintiff group or
7 others, but I don't have any specific
8 recollections of that. I mean, is that
9 what you meant?
10 Q. Well, as the director of 11 environmental affairs for Solutia, is it 12 part of your job to analyze or determine,
13 if you will, the health effects or 14 possible health effects on the community 15 from PCBs? 16 A. I would say that's part of my 17 responsibility, yes. 18 Q. And as part of that responsibility 19 to do that, do you, on a regular or
20 frequent or other basis, consult with 21 physicians to keep abreast of what, if 22 any, health effects there might be
23 associated with exposure to PCBs?
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1 A. No, I do not. I rely primarily on 2 the literature or discussions with other
3 scientists, but some of those may have 4 been physicians, but I don't do it 5 routinely.
6 Q. And when you say you rely on the
7 literature, do you -- you obviously have
8 some or you obviously don't take the
9 literature that we discussed in a general
10 nature and come to the conclusion that 11 PCBs, for instance, causes cancer in 12 humans ?
13 A. I have not come to that conclusion 14 based on my review of the literature, 15 that's correct. 16 Q. But you have seen reports of various 17 scientists, if you will, that do come to 18 the conclusion that those studies 19 indicate or suggest that there are
20 cancers associated with PCBs? 21 A. Well, I mean, I guess we could get 22 into a conversation about the difference
23 between causation and association if you
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1 want to do that, and are you talking 2 about in the literature or are you
3 talking about in expert reports? 4 Q. Well, the literature first? 5 A. Certainly, there is literature which
6 says that PCBs are associated with
7 various cancers and various individual
8 studies. I think we had that discussion.
9 I don't think any one of those pieces of
10 literature says PCBs cause cancer in 11 humans. 12 Q. So as I understand, you would need
13 to have a study or studies that will 14 conclusively show that there is, in fact, 15 a conclusion that PCBs causes cancer? 16 A. I would say for me to reach that 17 conclusion, it would take a robust set of 18 studies of some size which show strong 19 associations, consistent findings of
20 specific cancers and in specific people. 21 I mean, the whole Bradford Hill criteria 22 thing.
23 I'm sure you get tired of
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1 hearing about them or maybe you don't, 2 but those criteria are there for a very
3 good reason and they are accepted by -4 widely within the epidemiological 5 community and I believe that that is
6 because they make sense and they provide,
7 although there is judgments within the
8 various things, they provide a relatively
9 objective set of criteria against which
10 you can look at a body of literature. 11 Q. Now, all eight criteria don't have 12 to be met do they?
13 A. All eight criteria have to be 14 considered. I wouldn't say they have to 15 be met, but certainly, there are some 16 that are more important than others. 17 Q. So would you need to have an 18 epidemiology study as such or just -19 A. I don't think any epidemiology study
20 necessary tells you anything. You need a 21 body of literature upon which you can 22 rely.
23 Q. And if that were to happen, if you
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1 had a quote "robust body of literature" 2 that confirmed that cancer was caused by
3 PCBs, would there be -- what, if 4 anything, would Solutia do if that were 5 to occur that they're not doing now?
6 A. I don't know specifically what we
7 would do. We will certainly change our
8 public pronouncements on our view of the
9 carcinogenicity of PCBs in humans.
10 Q. Do you know whether or not Pharmacia 11 has a different policy as to whether or 12 not PCBs is carcinogenic, causes cancer
13 in humans? 14 A. I have no idea. 15 Q. Has that ever been discussed with 16 Pharmacia? 17 A. Not by me or with me present. 18 Q. And I assume you have not had any or 19 have you had any conversation with anyone
20 with Pharmacia about PCBs? 21 A. I don't believe so. Well, not in 22 the context of Pharmacia. There are
23 people now with Pharmacia who I may have
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1 had that conversation, but that was when 2 we were all happily Monsanto and I don't
3 have any specifics, but I don't want to 4 say it was nobody, because it may very 5 well have been.
6 Q. Was there anyone that would be your
7 counterpart with Pharmacia that was with
8 Monsanto?
9 A. Not that I'm aware of.
10 Q. Was there anyone that left Solutia 11 to go to Pharmacia that might be an 12 environmental affairs person?
13 A. I'm sorry? 14 Q. Has anyone left Solutia -15 A. Has anyone left Solutia to go to 16 Pharmacia? 17 Q. Yes. 18 A. I don't believe so, not that I know 19 of.
20 Q. I think you mentioned the dioxin 21 reassessment. 22 A. Yes.
23 Q. What exactly is that?
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1 A. A very long story. I'll be brief. 2 It is an attempt by the EPA to do a
3 comprehensive reassessment of all the 4 toxicological information and human 5 health information known about,
6 primarily, TCDD, but encompassing the
7 broader category of what we've jokingly
8 been calling dioxin-like compounds in and
9 effort to provide information for risk
10 assessors and risk managers about what to 11 do with dioxin contaminated cleanup 12 sites, primarily, but also having
13 implications for dioxin levels in the 14 human population. 15 Q. And it addresses the areas of the 16 dioxin-like PCBs? 17 A. Yes, it does. Briefly, but, yes, it 18 does . 19 Q. And does it conclude that the
20 coplanars or dioxin-like PCBs are similar 21 to the dioxins or the TCDD that causes 22 cancer?
23 A. Okay, I'm going to jump to where I
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1 think you were going -2 Q. Okay, thank you.
3 A. -- and say does it conclude that 4 dioxin-like PCBs are known human 5 carcinogens. The answer to that is no,
6 it doesn't even make at that
7 determination for the other dioxins or
8 the dibenzofurans, nor did IARC.
9 The designation of dioxin as a
10 known human carcinogen is the single 11 compound 2378 tetrachlorodibenzodioxin,
12 what we've been calling TCDD, it does not 13 address the carcinogenicity of any of 14 those other compounds and, in fact, IARC 15 specifically declined to address the 16 carcinogenicity of those other compounds 17 excluding the PCBs. The PCBs weren't 18 even in the IARC's discussion. 19 Q. The EPA's proposed reclassification
20 of TCDD, as I recall and I may have it, 21 to human carcinogen mixtures including 22 dioxin-like PCBs congeners are quote
23 "strong cancer promotors in weak,
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1 direct, or indirect initiators and are 2 likely to present a cancer hazard to
3 humans." Is that contained in that -4 A. I don't know. It would not surprise 5 me if that is a statement take out of the
6 dioxin reassessment.
7 Q. Why?
8 A. Well, because that's the view the
9 EPA is trying to profess.
10 Q. Again, you don't agree with that? 11 A. I do not agree that the data 12 available from human or animal literature
13 support that conclusion. No, I don't 14 agree with that and nor did a number of 15 members of the advisory board that 16 reviewed the dioxin reassessment, by the 17 way. 18 Q. They got outvoted? 19 A. No, it's still up for discussion.
20 That's why it's still a draft document 21 and that's one of the main reasons why it 22 is probably going to the National Academy
23 of Sciences for another assessment before
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1 it's ever released. That's one of the 2 primary discussions.
3 Q. And who are the members of that - 4 A. That has not been established. The 5 committee has not been established.
6 There is merely a proposal that it be
7 reviewed by the National Academy of
8 Sciences.
9 Q. All right, now you do agree, I
10 think, that PCB exposure does, in fact - 11 let me make sure I get the words right 12 for you, an elevation in liver enzymes;
13 is that correct? 14 A. High levels of PCBs -- there are 15 reports of high levels of PCBs causing 16 transient elevations in some liver 17 enzymes, yes. 18 Q. But as I recall, initially, today, 19 you said that there is no indication that
20 that is necessarily a risk? 21 A. Well, I mean, it indicates that the 22 liver is somehow reacting to that
23 exposure to PCBs. I think what I said
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1 was that that has not been demonstrated 2 in the literature to be followed by frank
3 liver disease. 4 Q. Okay. So are there studies which 5 support the Hill criteria of strength of
6 the association between the observed
7 effect to the PCBs and liver damage? Is
8 there a strong association between
9 exposure of PCBs and liver damage?
10 A. No, I do not believe there is. 11 Q. Are you familiar with Maroni? 12 A. Yes.
13 Q. And is it Fishbein? 14 A. Fishbein. 15 Q. Do those studies not indicate -16 A. I don't remember. They may, but 17 there are only two. I mean, it goes back 18 to the other ones. There's two among 19 twenty or thirty studies that have looked
20 at that end point. 21 Q. Not robust enough is your -22 A. Well, not consistent enough and
23 frankly I don't remember Fishbein talking
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1 about frank liver damage. I think Maroni 2 may have been looking at porphyria, but I
3 don't think that was followed up in a 4 second study. I don't remember Fishbein 5 doing it. I could be wrong, but I don't
6 recall that.
7 Q. And I don't have it with me, so I
8 don't know either.
9 A. I think his was one of the ones that
10 talked about liver enzyme elevations. 11 Q. Then you do not agree that high 12 levels of PCB exposure will cause liver
13 damage? 14 A. They will in animals for sure. I do 15 not believe human populations have been 16 exposed -- I do not believe that human 17 populations have been exposed to levels 18 that would cause that if they would. 19 Q. Okay.
20 A. I'm not going to say there's not 21 some level of -- you couldn't force 22 enough PCBs down my throat that my liver
23 wouldn't be damaged at some point. I
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1 think populations exposed, as workers are 2 everywhere, we haven't seen evidence of
3 that actually coming to the fore. 4 Q. In other words, if you consider the 5 general exposure levels in the general
6 population, which you mentioned, I
7 believe earlier, you don't believe that
8 that is a level sufficient to cause liver
9 damage?
10 A. That's absolutely correct because 11 you don't see it in the more highly 12 exposed occupational studies.
13 Q. Have you ever had your blood serum 14 tested for PCBs? 15 A. No, I haven't. 16 Q. Have you ever had a liver profile 17 done? 18 A. I have liver profiles done in my 19 annual physical.
20 Q. Is there any elevation in your liver 21 enzymes that you know of? 22 A. Not that I know of.
23 Q. Do you know of anyone that works for
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1 Solutia that has had their serum level 2 for PCBs performed?
3 A. Yes. 4 Q. Okay. Who? 5 A. I know that it's number of them.
6 Q. Is that something that has been
7 routinely done?
8 A. No.
9 Q. Is it something that used to be
10 routinely done by Monsanto for their 11 workers? 12 A. No.
13 Q. It seems like I've seen something in 14 the documents that suggested that. Am I 15 wrong? Do you remember seeing some 16 documentation or memos concerning having 17 periodic testing done for -- I misspoke. 18 Is there anything in the literature that 19 suggests that certain workers have their
20 liver profile performed after being 21 exposed to PCBs? 22 A. Monsanto workers or workers --
23 Q. Monsanto workers?
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1 A. Oh, I don't know. I'm not aware of 2 anything.
3 Q. I think my question seemed to 4 indicate I was talking about the blood 5 serum, but what I meant to say was their
6 liver enzymes.
7 A. I'm not aware of that either.
8 Q. Okay. Since the Abernathy trial or
9 since you testified in the Abernathy
10 trial -- it's still going -- have you 11 given your testimony in any other case, 12 PCB-related case?
13 A. No. 14 Q. And I believe you testified in March 15 about year ago; is that your 16 recollection? 17 A. That's the latest time, yes. I 18 mean, I testified in the Gadsden phase 19 and the environmental -- what's the word
20 I'm looking for -- injunctive relief 21 phase, so I know two instances of my 22 testimony in that litigation. I believe
23 this is my first deposition in a case
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1 since that time. 2 Q. Are there still ongoing
3 communications with the EPA and 4 yourself? Is there something going on 5 that y'all routinely communicate?
6 A. Not me. Now, Craig does. I mean -
7 well, let me say we are continuing to
8 submit documents in anticipation of the
9 eventual entering of the consent decree
10 and I review those documents, but there 11 is nothing going to the EPA under my 12 name.
13 Q. What about the Alabama Department of 14 Environmental Management, have you had 15 constant contact with them? 16 A. Not recently, no. 17 Q. There's a letter here dated -- I 18 don't know where I got it. 19 A. Wait, stop, I do, because we have to
20 report on a bimonthly basis air levels 21 from our air monitoring program to ADEM 22 and EPA and I write those letters, so
23 yes.
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1 Q. March 10th of 2003; is that the most 2 recent letter?
3 A. That's the most recent. 4 Q. Okay. What's the purpose of your 5 having to write them?
6 A. Do you want a twelve-year-old kid's
7 answer?
8 Q. A short answer.
9 A. They told us to. No, we have been
10 doing air monitoring. We had proposed to 11 stop air monitoring because we don't 12 believe it is providing a whole lot
13 useful information. They have requested 14 that we continue to do that air 15 monitoring and provide them with the 16 results. 17 Now, starting last month or 18 this month, we are entering into a more 19 useful air monitoring program under the
20 oversight of EPA and ADEM which will 21 include meteorological data, and that 22 work plan was approved and is being
23 implemented, so the air monitoring will
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1 go on. These letters, presumably, will 2 cease at this point.
3 Q. But as far as the EPA is concerned, 4 you have no continuing dialogue with them 5 concerning the proposed order or the
6 consent order?
7 A. Me, personally?
8 Q. Right.
9 A. That's correct.
10 Q. Is that something that will -- will 11 you eventually do that or is that - 12 A. Probably not. I mean, that's
13 largely Craig's responsibility is to work 14 with a EPA and the implementation of that 15 consent decree. I will continue to have 16 an advisory role with Solutia and I very 17 well may meet with EPA on a, you know, an 18 ad hoc basis at one time or another but 19 that is -- my daily or weekly or monthly
20 interactions on a continuing basis is not 21 part of my responsibility. 22 Q. So the implementation of the
23 proposed order, if it's agreed upon or
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1 ordered, it would be Branchfield? 2 A. Branchfield, yes.
3 Q. And did you have any, I guess, input 4 into the actual drafting of the proposed 5 order itself?
6 A. Some.
7 Q. But would he have more input than
8 you?
9 A. Yes, but, by far, the EPA had a lot
10 more input than any of us. 11 Q. And what do you see as your, other 12 than a consulting role, what do you see
13 as your role in implementing the proposed 14 consent decree? 15 A. Other than advisory consulting, 16 nothing. I mean, you know, I'll continue 17 to review documents that we submit. I'll 18 continue to review things coming the 19 other direction, but other than that,
20 nothing. 21 Q. Who will actually do the -- under 22 the proposed consent decree, who will
23 actually do the actual soil sampling and
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1 testing? 2 A. Our contractor to Solutia. We hire
3 people to do those things. 4 Q. Is there a particular one that you 5 use?
6 A. There's one we have been using.
7 Q. Is that one you think you will
8 continue using?
9 A. Probably.
10 Q. Who is that? 11 A. It's Genesis Project, Mike Price. I 12 need to take two seconds or two minutes.
13 Q. Okay. Let's go off the record a 14 minute. 15 (Whereupon, a brief recess was 16 taken at this time.) 17 Q. With respect to the cleanup or 18 assuming the soil samples indicate 19 there's one part per million, who
20 actually does the reclamation or 21 remediation? 22 A. We've got us a contractor. I don't
23 know -- I don't really know who's doing
207
Kaley, Robert; Tolbert
HARTOLDMONO015320
1 that. 2 Q. So is that a bid-out job type
3 situation? 4 A. I assume so. It was probably bid 5 out the first time. After that, it's
6 probably been the same person.
7 Q. Okay. All right, I think that's
8 all. Thank you, sir.
9 A. You're welcome. Thank you. I
10 appreciate your courtesy. 11 12 (The deposition of Robert G.
13 Kaley, II, Volume I, was adjourned at 14 approximately 5:15 p.m. on May 1, 2003.) 15 16 17 18 19
20 21 22
23
208
Kaley, Robert; Tolbert
HARTOLDMONO015321
1 2 REPORTER'S CERTIFICATE
3 4 STATE OF ALABAMA 5 COUNTY OF JEFFERSON
6 I, Angela Abbott
7 Blankenship, Certified Shorthand Reporter
8 and Notary Public in and for the State of
9 Alabama at Large, do hereby certify that
10 on May 1st, 2003, pursuant to notice and 11 stipulation on behalf of the Plaintiffs, 12 I reported the deposition of ROBERT
13 KALEY, II, who was first duly sworn by me 14 to speak the truth, the whole truth, and 15 nothing but the truth, in the matter of 16 ANTONIA TOLBERT, et al., Plaintiffs, 17 versus MONSANTO COMPANY, PHARAMACIA, INC. 18 And SOLUTIA, INC., Defendants, Civil 19 Action Number CV-01-C-1407-S, now pending
20 in the United States District Court 21 Northern District of Alabama, Southern 22 Division, that the foregoing 208
23 typewritten pages contains a true and
209
Kaley, Robert; Tolbert
HARTOLDMONO015322
1 accurate transcription of the examination 2 of said witness by counsel for the
3 parties set out herein; that the reading 4 and signing of said deposition was not 5 waived by the witness and counsel for the
6 parties.
7 I further certify that I am
8 neither of kin nor of counsel to the
9 parties to said cause, nor in any manner
10 interested in the results thereof. 11 This 12th day of May 2003. 12
13 14 15 16 Angela Abbott Blankenship 17 Reporter and Notary Public 18 State of Alabama at Large
210
Kaley, Robert; Tolbert
HARTOLDMONO015323
[& - administrative]
Transcript Word Index
&
&
1:1 2:1________________
0
01 1:1 209:19_____________
1
1 4:6 135:7,10 144:18,22 145:22 146:7,13 148:8 159:1,13,14,15 160:16 208:14
1:30 1:1
10th 204:1
1221 28:21
1242 28:21 30:8
1250 31:12
1254 31:14
1260 28:22 105:11 109:1,4,13
1268 28:22 29:2,18
12th 210:11
135 4:7
1407 1:1 209:19
14th 79:3 127:8
169 109:13
1950s 162:15
1955 162:15
1966 36:4
1968 35:15
1969 162:16
1970 133:8
1970s 42:6
1971 10:18
1972 40:10
1973 5:22 40:10
1980s 40:1741:15,18,19
1994 5:14
1997 5:12
1st 1:1 209:10
2
2 159:1
2000 78:7 79:3 127:8 154:5 186:23
2001 98:5 136:10
2003 1:1 204:1 208:14 209:10 210:11
208 209:22
20th 1:1
21927 2:1
2378 195:11
27403 2:1
2956 2:1___________________
3
3 145:23
35205 2:1
3rd 136:10________________
4
4 4:4
400 1:1___________________
5
5:15 208:14
54 163:2
55 162:20
6
60s 163:19
68 36:10
69 36:12,13 162:22 163:1
7
71 133:8
78 140:19
__________
8
89 41:7____________________
9
93 38:17 39:7,8 41:8
94 5:19,20
95 5:14
97 7:16
98 40:22___________________
a
abbott 1:1 2:1 209:6 210:16
abernathy 42:9 43:9 131:22 202:8,9
abilities 35:4
able 36:14 49:14,23 58:19 76:5 89:19 96:12 99:21 145:20
abreast 188:21
absolutely 16:9 54:18 55:9,11 200:10
absterer 151:9
abundance 178:8
academy 196:22 197:7
accept 75:5
acceptable 68:17
accepted 191:3
access 20:7 138:17 183:5,8,19
account 23:8 130:1
accountable 184:10
accucam's 183:17
acculab 183:4
accurate 210:1
acid 36:23 37:3,7 38:4
acknowledged 25:4
acknowledges 23:19
act 40:13 149:14
action 1:1 21:11 137:11 209:19
activity 114:1 126:10
actual 206:4,23
ad 205:18
add 13:3 27:3 116:11 160:8
adding 28:4
addition 127:1 140:12
additional 19:21 22:4 40:14,18 69:19 69:23 70:15 137:13 139:7 140:14 141:11
address 20:4,6 22:15 139:1 195:13 195:15
addressed 79:7 82:20 128:20 129:8 169:15 187:19
addresses 137:9 194:15
addressing 124:17
adem 203:21 204:20
adequate 174:21
adjourned 208:13
adjustments 151:14
administrative 98:4,6 136:9
Kaley, Robert; Tolbert
HARTOLDMONO015324
[admit - asked]
admit
ah
anniston
appropriate (cont.)
33:6 35:11 161:3
100:12 101:14 103:18,20
9:14 10:1,17,23 14:2 18:15 80:21 81:4 92:22
admitted
110:6 126:7
21:3 28:12 29:20 30:8
appropriately
164:16
air
36:11 38:10 42:19 45:2
79:18
adverse
95:9,10,16,20,21 203:20,21 55:16,20 56:5 66:15 67:11 approval
58:22 73:11,12 187:13
204:10,11,14,19,23
67:13 77:11,18 82:13 84:6 144:12
advisory
al
96:13 137:1 148:16 157:2 approved
196:15 205:16 206:15
1:1,1 209:16
157:10,14 158:4 162:14
137:19 204:22
affadavit
alabama
164:18,22
approximately
182:6,7
1:1,1,1 2:1,1 157:2,10
annual
208:14
affairs
158:4 203:13 209:4,9,21
167:15 200:19
april
5:7 10:20 188:11 193:12
210:18
anonymous
78:7 186:23
afternoon's
alleged
151:9,11,15
area
180:8
106:8
answer
10:23 12:23 13:18 14:15
age
alterations
17:1 26:19 29:23 30:12
15:20 16:3 18:15,21 20:11
4:12 99:1 120:2
153:2
31:23 42:4 49:4 56:7 77:21 20:17 45:2 93:9 133:6,11
agencies
altogether
77:21 78:20 97:2 139:13
133:12,13,19 137:5 139:11
113:8 119:20 145:12 172:2 103:14
155:7 161:21 195:5 204:7,8 140:14,15,18 141:12,16,20
agency
amount
answers
142:4,7,11,14 144:11
131:8 135:16 149:15
26:21 31:15 33:14,18 85:2 123:13
148:16 170:21
172:15 178:22 179:20
142:22 165:14 167:18
antagonist
areas
agent
amounts
106:3
12:21 13:9,10,20 14:4,23
131:19
163:16
anticipation
15:4,11,20 16:4 17:9,11,13
agents
analgesics
203:8
17:15,21 18:16 19:4,17,23
131:11
10:13
antonia
20:12 91:13,17,20,23 92:1
ages
analyses
1:1,1 209:16
92:9,12,15,18 93:2,18 97:7
120:1,13
35:4 124:14 129:9
anybody
97:10,13 131:14 132:12
ago
analysis
17:1 55:17 66:4 67:22 69:4 135:18 136:17 138:3 139:8
54:17,23 55:8 57:16,21
16:1047:14 120:10 127:16 70:14 89:9,20 170:12
139:19 142:13,17 143:3,4
121:1 154:17 155:11,16,16 134:12 183:10 186:4
anybody's
143:23 148:1 160:10
155:17 156:11 177:13
analytical
170:7
179:19 194:15
202:15
34:7,13 36:9 47:6 116:16 anymore
arguably
agonist
130:18 131:1 185:12,21
145:14
64:3 100:15 113:4 116:5
106:3
analyze
anyway
argue
agree
13:4 66:21 183:23 188:12 14:22 91:1,10 94:21 97:19 156:13 177:3 181:3
24:8,19 25:2 33:6,9 34:1,4 analyzed
129:5 155:18 168:22
argument
39:3 54:14 55:4 56:3 62:14 133:22 134:2 183:19
apocryphal
81:1989:1
64:11,13 74:2 76:20 90:16 185:20
61:8 96:6,17
arguments
93:7,10 101:13,15 103:16 analyzing
apparently
155:9
108:14 109:23 113:13,16
167:13 184:3
106:4
aroclor
116:12 118:21,22 119:9,11 angela
appearance
29:17 30:8 31:12 105:11
151:20,21 152:10 153:5,6 1:1 2:1 209:6 210:16
26:5
109:1,3,13
153:11,12 154:19 156:14 animal
appearances
art
156:21,22 171:21,23
18:8 23:1 26:1 72:5,11,19 2:1
185:11
176:19 177:4 180:9,11,15 74:21 75:21,22 76:3 86:19 applications
article
180:17,19,22 196:10,11,14 106:16,23 107:17,19
28:7
162:7 164:21,23 165:2
197:9 199:11
108:15 116:21 172:20,22 applied
169:13,14,19,21
agreed
174:7 175:20 176:4 177:21 72:4
articles
2:1 3:1 13:10,21 16:8
178:5 185:14 196:12
applies
7:7 170:5
160:10 205:23
animals
88:11,12
asbestos
agreeing
23:4,7,9,10 24:11 26:7 72:8 apply
150:1
33:17 77:16
76:21,23 100:10 104:18
23:7,15 76:21 118:19
ascertain
agreement
117:21,22,23 152:23 153:7 appreciate
131:9
11:22 12:7 13:22 17:20
153:12 175:10 181:7,8,10 208:10
asked
33:13 38:12 67:3 75:17
181:11 199:14
appropriate
42:10 91:19 141:22 150:23
91:22
42:13,15 46:4,6 79:20
152:1 181:14
Kaley, Robert; Tolbert
HARTOLDMONO015325
[asking - billion]
asking
ate
aware
began
16:15,23 69:7 105:9 125:14 51:6
11:15 12:1 14:22 32:17
35:15 36:3
177:10
atmosphere
38:16 133:9 170:14 187:15 beginning
aspirin
27:14,23
193:9 202:1,7_____________ 41:1489:13,15
85:19,19,21,22
atoms
b behalf
assess 116:1,9
assessment 19:12 21:18,22 22:7,9,21 26:11 66:14,18,19,21 67:4
99:20 atsdr
48:22 78:7 80:21 119:22 125:8 132:20 149:15 150:6 151:4 182:23 186:22
back 36:3 55:7 57:2 78:7 84:4 90:7 92:5,19 95:4 115:1 144:6 155:19 166:19 170:19 177:20 198:17
1:1 209:11 behave
86:18 117:16 behavior
152:7
67:6,7,8,12,17 68:20,23 atsdr's
background
belief
69:9 70:20 71:5 72:4 73:16 49:22
73:17,20 77:3,6,15,16
attach
113:13 116:6 174:3,10
103:17 110:6
196:23
attached
assessments
103:20 136:3,5,8
44:8 47:18 48:2 49:8 50:11 52:3 55:10,13,15,18 57:3,7 57:10,14,15,22 82:2 83:9 88:19 89:2 155:18 158:1,7 backgrounds
60:15 140:8 believe
5:136:179:21 13:8,16 14:21 19:3 20:1421:6,13 24:9,21 33:15 35:23 36:9
68:6 118:4
attachment
130:12
39:12 40:22 42:17,21 43:3
assessors 194:10
79:23 136:6,11,12,13 attempt
bad 99:9
43:10 56:17,18 57:5 58:2 58:21 60:8 62:18 78:1,23
assistant 6:16
associated
126:16 194:2 attempts
113:17 166:3,7
badly 131:2
bark
79:20 80:21 81:4 86:13 87:22 92:21 93:3 105:7 113:23 118:20 133:23
9:5 22:16,18 24:22 44:16 attention 46:8 56:14 57:6 58:3 66:22 52:19
94:3,9,10,19 95:2 based
137:4 140:3 145:4,16,23 148:18 162:23 164:19
72:2 74:4 90:8 92:15 93:2,5 attorney
111:7 121:3 124:2 126:11
6:13 131:17,21 132:2
152:22 153:15 179:3
attorneys
18:1421:1922:1 23:2 42:13 43:4 44:11 58:9,18 71:18 73:18 74:19,20
167:21 169:7,11 188:3 191:5 192:21 193:18 198:10 199:15,16 200:7,7
182:12 188:23 189:20 190:6
131:12 138:18,19 attribute
108:14 118:5 119:7 132:15 134:8 150:5 152:13 171:14
202:14,22 204:12 benefit
association
45:8
172:18 173:14 177:15
8:2
62:15 65:4 107:18 173:5 174:14 189:23 198:6,8 associations 45:12 62:19 63:1 65:1 171:13 173:16 177:2
author 151:14
authoritative 152:2,4,11
automatically
178:1,5 189:14 basic
185:4 basically
12:22 13:23 20:10,16
22:13
bent 175:1
benzene 99:12,18
bertazzi
149:23
190:19
156:20 172:22 176:9
31:2 33:3 37:15 39:10 40:6 62:10 111:6 171:8 173:12
assume
avail
16:16 24:13 55:23 93:7
131:8
111:1 113:12 139:14
available
146:12,14 149:6 151:21
22:2 34:14 54:6 61:12
155:4 156:22 171:9 192:18 125:12 165:16 179:7
68:8,12 81:6 85:12 86:7 97:9 142:20 147:9 154:15 168:6 174:4 179:4 basin 93:19 95:6
bertazzi's 173:15
best 179:10
better
208:4 assumed
126:9 143:6 assuming
54:16 124:8 137:19 155:5
186:11 196:12 avenues
131:9 average
10:4 30:4 48:1,5,10,11
50:6
basis 16:2 35:3 62:22 87:21,22 94:10 106:18 119:1 142:1,2 152:15 163:5 167:15 186:3 188:20 203:20 205:18,20
35:5 51:10 bid
208:2,4 big
24:6 53:11
120:6 167:11 104:22 123:6
207:18
50:7,8,10,10 53:19 54:1
beasties
142:4 156:2 167:8
assumption 30:23 110:10,20
64:4 82:4 87:10 88:13 132:10
77:4 beaver
biggie 104:17
assumptions 155:8 156:14,17
assure
averaged 48:9 84:1
averages
71:2 beavers
70:23
bilary 171:17
billion
16:19 ast
71:1987:17 averaging
beds 37:6
38:21,21 46:22,23 47:4,11 48:7,11,18,21 49:7 50:12
170:20
70:21
beef
52:12 54:3,15 55:6,22 56:6
51:5,6
57:20 58:15 59:6 82:3,9
Kaley, Robert; Tolbert
HARTOLDMONO015326
[billion - case]
billion (cont.)
body (cont.)
burdens
capabilities
83:10 85:10 129:20 146:23 118:19 119:1 184:10
78:3 84:6 118:19
46:18 183:9
157:21,22
185:14,14 191:10,21 192:1 burned
capacitor
bimonthly
bond
130:22
87:7,9 88:6,11
203:20
100:1 103:3
burning
capacity
bind
bonner
33:1
171:6
100:14,18 101:1,8,14 102:3 132:3,4 133:3,4
buy
capital
103:7,8 104:3,10 126:7 bonner's
113:10___________________ 100:12,13 172:13
binding
11:13
c caps
101:15,17,23 102:1 104:11 bottom
calculate
73:9 140:16
104:12 114:2
31:7
68:11 70:5,14 130:4
carbon
binds 109:14 114:7,8,9
bio 85:3
biological
bottoms 30:17 31:10,13,16 32:3,8
box 2:1
bradford
calculated 131:14
calculating 94:9
calculation
99:19 100:1,1 carcinogen
113:18 172:22,23 173:21 174:22 175:5,13,19,22 178:1 180:10,21,23 181:6
112:14 155:21
174:15 190:21
70:10 87:20 88:14 90:10
195:10,21
biologically 112:15
branchfield 9:15,17 20:21
138:6
146:10
calculations 69:3 182:16
carcinogenesity 171:2
biphenyl 10:9 29:9 30:9 168:5
biphenyls
146:11 206:1,2 break
97:16,17,18 99:14 153:22
call 8:12 12:13 19:11 29:8 38:8 43:23 46:1 69:14 71:16
carcinogenic 171:20 177:6,9 192:12
carcinogenicity
9:9 birmingham
breath 85:7
84:12 92:2 95:7 96:3 101:4 112:3 143:11 158:1 160:18
172:2,17 180:12 192:9 195:13,16
1:1 2:1 birth
44:22 120:7 127:14
brief 194:1 207:15
briefly
173:6,17 175:4 176:17 177:21 called
carcinogenicty 172:21
carcinogens
birthrate 153:3
194:17 broad
10:8,11 15:5 23:14 25:1 37:6 40:11 44:8 86:17 99:8
24:3 26:7 113:3 177:19 178:16,18 179:12,13,21,23
bistline
71:6,6 78:19 188:2
100:5,11,12,13 114:11,19
195:5
6:10 bit
40:23 66:12 103:9 109:12 blank
142:4
broader 53:13 194:7
brought 40:16
brown
122:19,23 123:4,10 140:15 168:20 calling 50:5 194:8 195:12 calls
care 178:3
careful 65:23
carefully
blankenship
62:10 111:6 171:8
7:2 9:10,12
64:17
1:1 2:1 209:7 210:16
bubbled
blood
37:2
43:4,13,16,19 44:12 46:22 bucket
46:23 47:2,5,11 48:5 52:5 96:14
55:8 56:22 58:3,8,16 59:13 bucky
cancer 23:3,14 24:4,12,16 26:2 46:9 62:16 63:2,3,7,10,16 64:10 65:6,10 66:5 76:8 104:18 105:2,12,15 107:5
cares 106:12,13
Carolina 2:1
carried
69:2,10 70:6 80:23 82:3 85:6 87:2 88:22 98:13 122:9 127:13,15 128:4 182:15,19 184:22 185:17 200:13 202:4
71:2 build
51:18 building
1:1
107:13 108:3,7,9,16,17,22 109:2,5,9,10,15,19 110:1 111:2,11,18 112:5,21 113:6 113:14 153:4 170:21 171:5 171:13,15 172:16 175:9
19:12 34:23 carrier
96:9 carryover
37:9
38:23
bloodstream
builds
178:13,23 179:9 180:18 cartee
85:20,22 blowing
71:21 bumping
181:2 189:11 190:10,15 192:2,12 194:22 195:23
2:1 cascade
94:22 board
196:15
99:16 bunch
23:7
196:2 cancers
62:21 63:8 104:17 106:20
101:19 case
11:1822:23 23:1431:5
body
bunches
51:10,11,16,1862:6 78:2
104:9
107:9,21 111:7 112:4,10,19 42:9 43:9 48:23 151:17
189:20 190:7,20
171:11 181:18,18,20 183:3
84:5,22,23 85:12 86:9,19 burden
candem
187:8,11 202:11,12,23
86:19 104:8 111:9 113:3
119:1 184:10
179:7
Kaley, Robert; Tolbert
HARTOLDMONO015327
[cases - community]
cases
certificates
30:22 126:8,9 182:8
44:23
category
certified
194:7
1:1 2:1 209:7
causation
certify
176:8 189:23
209:9 210:7
cause
eg
23:3 24:4,12 25:12 65:11
159:1,1,14,15 160:16
76:8 104:16 106:20 107:8 chain
108:2 109:9,15 110:7,13
155:1,6
111:1 112:5,16 117:20
chance
190:10 199:12,18 200:8
63:23 64:3 168:21 169:1
210:9
change
caused
26:16,21 27:7 28:3 43:21
66:4 72:11 156:10 178:13 81:21 192:7
187:5 192:2
changed
causes
21:9 83:2
24:19 44:16 75:22 76:15 changes
104:18 107:4,12 108:3,17 153:3
108:22 109:2,5,9,19 110:1 changing
111:11 113:6,14 180:17
168:12
181:1 189:11 190:15
chapter
192:12 194:21
152:21
causing
characterization
77:18 105:2 108:6,8,15
71:7
197:15
chartered
caution
178:6
178:8
check
cdc 88:18
67:23
checked
ce 170:6
114:22
chemical
cease
8:12 10:8,11 38:1 40:15
205:2
60:1,4 84:20 107:12 113:2
ceased
162:17 178:3,5
10:16
chemicals
cell 8:8 9:6 23:4 110:13 123:4
39:22 40:3
149:19 150:15 172:18
cells
chemistry
39:11,18,20 167:8,8
28:3,17 34:7,13 185:12
certain
children
22:19 24:20 34:13 59:19
91:5
75:22 102:3 111:17 151:19 chloracne
151:20 187:12201:19
25:1 59:7
certainly
chlorinated
17:13 19:23 26:2 29:2 34:9 26:6,8 27:13 28:14 31:6,7
37:11 39:3,19 40:21 41:3
87:11,12 121:10,15
44:5 46:23 54:5 56:12 61:1 chlorinates
96:10 97:22 139:21 143:14 28:2
149:9 163:6,14 164:21
chlorination
173:18 190:5 191:15 192:7 25:21 26:15,17 27:16 30:5
certainty
30:1631:14
72:21 89:5,18
chlorine
certificate
26:21,23 30:19 102:12
209:2
103:3 162:14
chlorines
clinical
27:8 28:23 29:4,9,21 30:2 24:14 111:4
30:10,13,20 102:9
close
choccolocco
15:20
77:5 closed
circle
39:9 40:10 163:5
2:1 91:12
closer
cite 96:21
83:17 156:23
closest
cited
14:10,11
83:18
closing
civil 40:18
1:1 3:1 209:18
closure
clarification
40:22
73:13
clothes
clarify
61:2
18:1 clue
clarity
141:18
153:19
collected
dark
131:11,13,23
1:1 colon
classification
63:10,14
175:22 179:18 180:23
column
classified
127:20 128:2,4,5,21
178:15,17
comas
classifies
78:14,16
179:22
combined
classify
63:8 112:4,10,20
179:20 180:13
combustion
clean
130:20
75:18 76:22 91:17 117:4 comfortable
147:5,13,15 160:11
72:14 145:13
cleaned
coming
13:15 16:22 19:8,1621:14 36:18 38:2,5 95:1 104:23
117:2 118:10,12 119:5
200:3 206:18
137:20 138:13 139:4 147:4 commencing
cleaning
1:1
139:1 147:8 160:9,12
comment
cleanup
83:4,7,8 128:20 129:8
19:6,9,13 21:20 24:1 38:7 187:1
73:23 75:7 91:20 95:19 comments
110:11 116:2 126:13
78:22 79:1,6,15,15,16,21
147:23 194:11 207:17
80:1 124:18 131:3 151:6,13
cleanups
172:7 175:7
118:4
commission
clear
2:1
128:9 140:12
commissioned
clearly
150:6
40:2 47:3 102:1 113:6,11 committee
120:7 124:6 129:11 143:8 173:11,11 175:6,8 197:5
144:20 146:11,11 166:16 communicate
166:21
51:22 203:5
clients
communications
146:17 159:7
203:3
climb
community
36:7 42:19 60:15 73:22 124:1
Kaley, Robert; Tolbert
HARTOLDMONO015328
[community - correcting]
community (cont.)
conclusion
consider
contractor
158:22 159:2,2,5,11 188:14 110:23 165:16 189:10,13
46:12 47:9 55:22 58:6
207:2,22
191:5
189:18 190:15,17 196:13
200:4
contractors
company
conclusions
consideration
22:10,11 150:7
1:1 8:11,21 9:1225:3
183:15
77:7 79:14 105:23
contribute
209:17
conclusive
considered
130:5
compared
173:9,19,23 174:20 175:17 29:10 46:13 49:7 69:8
contributed
44:13 130:10,11,12
175:18,21 176:6,7
145:2 191:14
66:1
comparison
conclusively
consistency
contributes
22:13
190:14
33:4 63:5,6 112:1 174:13
94:8
compilation
condition
consistent
contribution
152:6
187:5
63:1 147:22 190:19 198:22 41:2
complaints
conditions
consistently
control
45:5
28:8 75:4 131:10 187:14
25:8
163:14 164:3,8,12 167:3
completed
conducted
constant
171:11
32:10
10:22 139:19
203:15
controlled
complex
confidence
constantly
107:20
28:19,19 30:4 89:21 116:3 40:19
100:2
controversial
140:19 185:16,17
confident
constricted
180:4
compliance
92:14 93:4
143:23
convenience
8:20 40:17
configuration
construct
119:4
complicated
100:4,22
106:14 114:11 115:21
conversation
106:6
confirmed
118:18 156:12
187:20 189:22 192:19
component
192:2
consult
193:1
10:9 29:15,17 109:3
confounding
154:5 188:20
convinced
composite
112:23
consultation
95:11
12:17,20 19:14 135:23
confused
79:2 127:9 158:12 170:3 cool
composites
127:18
consultations
74:3
138:8
confusing
82:12
coplanar
compound
125:17 137:23
consulting
100:5,17 101:3 102:8,17
29:14 109:18 112:7 114:17 confusion
206:12,15
103:15 115:10 126:17
116:7,8,10 117:6 125:23
123:15 129:5
consumed
127:15 129:7
126:1 150:12 174:12
congener
61:20
coplanars
195:11
84:14 101:7 104:7,16
contact
99:8,11 103:17 115:11
compounders
105:14,22 183:6,18
61:5 203:15
117:19 123:11,12 124:12
71:14
congeners
contacting
125:6,9 194:20
compounds
89:8 98:21 104:8 110:6
61:7
Copland
99:5 114:16 122:19,23
122:9 183:18,23 184:11 contained
149:7
123:22 194:8 195:14,16
195:22
196:3
copy
comprehensive
conjunction
contains
17:7 80:18 97:5 135:8
194:3
13:2
209:23
154:7
conceived
connected
contaminated
corner
18:13
159:12
52:14 170:18 194:11
142:6
concentration
consent
context
correct
23:6,16 68:13 85:17,21
12:11,18 13:11 17:7,16
125:5 192:22
6:8 39:15,16 55:12,15
114:16,18 130:3
18:3,7,10,21 19:21 20:3,4,5 continue
63:17 74:12 81:10,12 82:18
concept
21:2,6 66:17 92:6 98:1,3,5 16:2 27:3 92:23 137:7
90:17 93:12,14 115:6,16
88:14,15 126:14
98:6 136:6,8,9,19,21 137:3 204:14 205:15 206:16,18
122:3 125:6,7 139:20,22
concerned
137:5,7,13,17,21 138:1,14 207:8
140:3 154:22 155:5 178:16
18:22 205:3
138:23 139:4,10,21,23
continuing
178:18 180:16 184:5
concerning
140:6,8,20 144:2,3 145:5
41:15 51:17 203:7 205:4,20 189:15 197:13200:10
7:7 187:21 201:16 205:5
146:19 203:9 205:6,15
continuously
205:9
conclude
206:14,22
55:1
corrected
194:19 195:3
conservation
contracted
79:12
concludes
40:13
151:4
correcting
174:10
89:2
Kaley, Robert; Tolbert
HARTOLDMONO015329
[correctly - dibenzofurans]
correctly
currently
december
describes
120:6
18:4 54:15
5:22
97:13
correspondence
curtailed
dechlorinated
designates
146:5
92:18
120:20
135:17
costly
curve
decided
designation
116:14
36:5,8
14:23 175:3,8
195:9
costs
customers
decision
designed
110:15 116:16
9:11
16:11,12
119:6
counsel
cv
decisions
detail
2:1 6:14,15,16 210:2,5,8
1:1 209:19_______________ 186:12
11:1668:8
counterpart
d declined
detailed
193:7 country
157:4 counts
129:15
daily 35:3 186:3,7 205:19
damage 198:7,9 199:1,13 200:9
damaged
195:15 decreasing
88:23 decree
18:8 19:21 20:3,6 21:2
148:13 details
19:1 43:19 detect
157:20
county
199:23
66:17 98:1,3 136:7,8,22 detected
209:5 couple
danger 74:11,15
137:3,7,14,21 138:14 139:1 91:15 139:5,11 140:1,6,8 144:2,3 detection
36:7 80:4 83:23 98:11 140:23 170:23 182:1 course
data 22:1 41:13,17,22 43:20 48:16 49:4 52:20,21 54:5
145:5 146:19 203:9 205:15 44:6
206:14,22
detections
defendants
46:19
43:8 59:18 60:12 91:6 124:8 157:12 183:19
70:3 82:9 83:14,15,19 93:23 120:18 125:11
1:1 2:1 209:18 defined
detergent 37:14
court 1:1 4:14 66:17 209:20
courtesy
131:20 173:2,4 174:7,8,9 174:11 176:10,13,15 177:23 182:9,12,15,19
91:16 126:2 137:2 143:3 defining
21:4
determinable 33:16
determination
208:10 courts
183:2,3 184:20 185:3 186:10,13 196:11 204:21
definition 22:21 74:14 92:10
46:7 163:10 165:18 173:14 174:17 195:7
137:20
dated
delineate
determine
covered 134:4
craig 9:15 20:21 203:6
craig's
79:3 136:10 186:23 203:17 dates
120:7 168:14 day
33:22 60:6 210:11
136:17 demonstrate
106:7 144:14 145:21 demonstrated
198:1
11:8 17:10,22 22:4 23:5,16 35:21 45:11 47:9 55:7 69:9 69:11 109:4 127:8 135:22 165:13 166:4 188:12 determined
205:13
days
demonstrative
12:16 17:21 21:12,17
creating 149:14
creation 5:11
creek
60:22,23 86:2,4 ddt
107:12 dead
134:6
111:11 department
37:12 203:13 dependent
85:17
determines 24:1
determining 167:14
develop
77:5 96:18,19,21 141:10 142:8 criteria 112:12 172:3,19,20 174:15 181:4,5 190:21 191:2,9,11
deal 8:18 9:13 35:3
dealing 105:22
death
depending 15:10 25:21 75:3 87:15 90:5 142:23 143:21
depends 46:15,16 76:3,4 143:19
36:8 58:6 78:4 developed
115:22 125:20 developing
56:21
191:13 198:5
44:16
184:4
development
criticism 82:14 84:2
debate 164:14,20
deposition 1:1 2:1 3:1,1 132:15,20
126:13 developments
criticisms 182:22
criticizing
decachlorobiphenyl 29:8
decade
181:17 182:4 202:23 208:12 209:12 210:4 depositions
8:21 dialogue
205:4
81:23 127:7 current
53:15 decades
8:2 182:2 dermal
dibenzofurans 120:21 121:3,10,15 123:1
12:11 13:6 17:1620:4
35:6,6 118:4
24:23 56:16 62:3 153:1
195:8
44:11 127:15 150:21
Kaley, Robert; Tolbert
HARTOLDMONO015330
[die - east]
die
dioxins (cont.)
distillation
dr (cont.)
60:10 75:23
179:22 180:9 194:21 195:7 31:1,1,11,12
98:12 132:3 133:3,4 135:12
died
direct
distinction
149:6 154:2
44:22 45:14
61:4 196:1
181:3,12
draft
diets
direction
distribution
81:5,9 82:7,23 83:2,18
52:13
142:22 206:19
12:5 30:15
119:18 151:10 180:5
differ
directly
distributions
196:20
87:15
6:109:13
44:2
drafting
difference
director
district
206:4
18:19 19:5 25:20 49:9
5:7 10:19 188:10
1:1,1 209:20,21
drainage
53:10,12 107:7 110:4 156:3 dirt
ditch
4:6 14:11 32:16 33:10
175:16 185:1 189:22
93:15 96:2,4 160:4
142:12,12,16
91:14 92:1,2,12,16 93:2,9
differences
disagree
ditches
93:19 94:18,21 95:5 141:20
23:8,10 183:12,20
24:9,10,11 49:13 53:17
160:2 164:17
142:3,13,14,21 143:3,8
different
54:1991:7 101:16 119:15 divide
145:10 160:2 164:17
12:21 18:8 45:5,9 47:20 disagreeing
12:22 72:11,12,13
165:21
49:18 53:18 62:7 86:17
33:17
divided
drains
107:11 122:12 154:9
disagreement
14:4
37:16
192:11
24:7 56:12
division
draw
differentiate
discharge
1:1 209:22
106:14 117:9
50:17
164:2
divisions
drink
differentiating
discharged
14:8
97:19
45:21
37:4 164:17
doctor
drive
differently
discharges
16:15 66:7
71:12 110:11
86:18
39:14
document
driven
difficult
disconnect
49:14 79:19,22 82:21 98:2 71:22 143:9
29:22 45:1,18 164:3,12
118:3,17
151:18 152:2,5,11,15
drives
183:10 185:13,15,18
discovery
153:18 166:6 196:20
137:12
difficulties
140:23
documentation
drops
45:7
discrepancies
41:5 165:16201:16
161:15
difficulty
183:16 185:8
documented
drum
45:16 166:11
discrepancy
51:19
96:13
dimension
184:17
documents
drummed
14:14,15
discussed
33:21 34:5 36:16 98:8
32:11
dioxin
120:14,15 124:20 144:6
146:3 166:16 167:14
due
98:13,20 99:2,4,6 100:14
189:9 192:15
201:14 203:8,10 206:17
67:20
100:19 101:5,10,21 103:19 discussion
doing
duly
104:17,21 106:5,9,15 107:4 84:9 106:16 108:19 119:13 45:3 66:14 68:18 77:3,14
4:12 209:13
107:14 108:3,15,17,20
119:16 124:21 135:2 180:8 90:9 92:7 105:1 118:3
dust
109:8,16,17 110:1,6,8
188:5 190:8 195:18 196:19 138:21 141:7 184:14
94:22 95:17,22 158:14
111:9,11,23 112:1,15 113:5 discussions
185:11 192:5 199:5 204:10 dying
113:15,17 114:1 115:1,5,9 14:1 20:23 119:17 163:13 207:23
60:7 72:9
116:5 117:3,4,19 119:18
189:2 197:2
122:9,15 123:10,23 124:6,8 disease
124:13,18 125:16 126:10
25:19 56:4,21 58:7 78:4
126:19 127:13,15 129:9,13 149:16 198:3
130:12 175:1,2,4 180:5,12 diseases
180:17 193:20 194:8,11,13 46:10 59:17
194:16,20 195:4,9,22 196:6 disposal
196:16
133:12
dioxins
disposed
98:18 106:19 107:3 108:2,6 39:11
111:1,8 116:4 121:16 122:5 dispute
122:8,14,19 123:12,17
34:3
124:12,15 125:2,20 126:6 distance
126:15,22 128:3,12 179:21 15:7,9 143:3
dominated
e
120:19 dosage
85:2,3,4,5
earlier 41:8 66:12 92:13 95:4 111:6 115:7 144:6 149:3
doubt
151:1 172:7 182:14200:7
53:4 162:3 downspout
early 40:10 41:15,18 59:5 60:22
131:15 dozen
103:14
91:19 168:11 ears
174:16
dozens 150:13
easily 51:15 77:12
dr east
5:2,5 11:13 42:9 89:13 94:2 135:19
Kaley, Robert; Tolbert
HARTOLDMONO015331
[easy - exclusively]
easy
elevation
epa (cont.)
et
164:7
112:3 197:12 200:20
180:2,3 194:2 196:9 203:3 1:1,1 209:16
eat
elevations
203:11,22 204:20 205:3,14 etcetera
51:4
25:6,10 112:16 197:16
205:17 206:9
7:8 23:10 104:13,13 116:17
ecological
199:10
epa's
116:17 137:20 160:2
66:19,23 67:4 68:20 77:2 eleven
21:4 22:9 113:12,16 144:12 evaluating
economic
115:3
144:14 147:23 149:17
171:5
167:19
eleventh
181:4 195:19
evaporate
economically
142:12
epidemiological
27:14
116:1
eliminated
44:14 191:4
events
economy
25:1651:15
epidemiologist
100:15 101:20
110:15
emergency
63:19,20
eventual
editorial
21:11
epidemiologists
203:9
175:7
emphatically
64:7
eventually
effect
64:9
epidemiology
205:11
65:15 73:11,12,23 103:18 employees
42:16 44:19 45:22 175:2 everybody
104:16 106:5 198:7
6:20
191:18,19
55:14 116:11 130:10
effects
enclosed
eq
evidence
24:23 26:9 45:8 56:16,17
137:2
114:21
3:1 25:18 39:4 65:10
58:17,17,22 90:20 103:9 encompassed
equipment
118:11 170:17 171:19,22
106:15 117:20 152:21,21
18:16
60:21 61:12
174:10 175:20 180:12
187:22 188:13,14,22
encompassing
equipped
200:2
efficient
194:6
68:1 evidenced
118:16
ended
equivalence
78:2 83:16
effort
164:2
114:21
exact
165:12 168:17 194:9
entering
equivalency
82:23
efforts
203:9 204:18
114:12 116:20
exactly
93:1 163:14,18 164:12
entirely
equivalent
6:8 8:1,4 10:6,14 20:16
166:21
117:10
115:21
21:5 22:8 33:3 53:1 82:18
eight
entitled
equivalents
85:4 90:14 105:17 108:19
13:1328:1588:1091:5,8,9 4:6 141:19
114:19
120:21 121:16 137:3
103:2,12 138:11 160:21 environment
erosion
158:17 162:11 167:12
161:6,10,18 191:11,13
35:22 36:3 53:5 67:1 68:13 38:23
179:1 193:23
eighties
135:16 152:8 163:12,17 error
examination
41:9
165:4 167:2 168:18,22
130:18 131:1
4:3,21,23 120:7,18 210:1
eighty
environmental
escape
examined
102:13 103:11 120:12
5:7 6:23 7:11 10:20 152:7 168:17,22 170:10
171:12
either
188:11 193:12202:19
escaped
example
3:1 17:2 38:4 41:6,21 49:15 203:14
33:7 35:13 169:4 170:14
31:13 46:8 76:7 125:21
68:5,16 75:23 95:21 108:13 environmentally
escapes
exceeds
137:12 150:7 169:17
157:7
38:14
16:21
186:12 187:22 199:8 202:7 enzyme
escaping
exception
elaborate
199:10
35:22 41:6 166:5
135:17
84:10
enzymes
esquire
exceptions
elderly
25:7,11 197:12,17 200:21 2:1,1
56:15
120:8
202:6
essentially
excess
electrical
epa
169:1
12:15
162:17
11:22 14:1,23 16:8,10
established
exclude
electrodes
18:14 19:1220:20 21:12,19 19:5,9 197:4,5
91:22,23 92:4
162:18
22:2,11,14,22 23:18 67:5 estimate
excluded
elemental
67:15 73:2 75:5 91:17
84:5
92:10
164:4
92:14,22 98:5 104:22,22 estimated
excluding
elevated
105:17 110:13 113:8
155:21
195:17
120:22 121:7,14 134:8
115:23 116:17 118:21,22 estimates
exclusively
156:9 161:3 166:1
126:16 142:18 146:6 150:6 165:5
78:17
165:20 172:16 178:20
Kaley, Robert; Tolbert
HARTOLDMONO015332
[excuse - followed]
excuse
exposure (cont.)
failure
147:2 154:4
87:23 88:22 90:8 121:6
76:9
executed
124:2,8 129:12 130:7 171:6 fairly
137:8,22
188:23 197:10,23 198:9
25:7 42:21 126:18 164:7
exhibit
199:12 200:5
familiar
135:6,9 136:12 146:13
exposures
24:13 50:2 62:9 149:3
148:8
60:7,11 67:9 68:9,10 70:4 164:6 183:7 198:11
exhibits
78:1 155:11 156:10
far
4:5
expounds
18:21,23 26:14 29:20 30:7
exist
139:11
32:3,4 47:10 49:14 74:16
34:5 186:1
extensive
82:6,22 133:22 137:8
exists
41:13,22 165:15
143:18 146:7 160:7 169:4
17:4 150:2 167:22
extensively
182:9 205:3 206:9
exits
170:22
farther
38:14 93:11
extent
14:12
expanded
39:2 152:5,13 163:21
fast
84:9
165:22 167:9
45:13 161:16
expect
extraordinary
faster
31:9 63:19 98:16 130:14
61:14
85:15
184:15
extrapolate
fat
expected
55:6 90:2 155:19
134:17
120:22 121:2 132:13
extrapolation
feasible
expensive
30:11 70:9
90:17
110:12 150:9 167:21
extrapolations
february
experiment
71:20 84:3,4
79:3 127:8 154:5
105:18
extreme
federal
expert
116:17
3:1 66:17
19:1 181:21 182:10 187:4,8 extremely
feed
190:3
102:20,22
105:11
experts
f feeding
182:13 188:3,4 explain
face 17513
105:14 feel
51:8,21 93:21,23 122:8 130:16,17,18 explained
facility 6:3 9:14 10:1,6,16 33:8,12 35:13 91:12,14 169:3 170:9
42:12 117:1 feet
143:18
55:1 facing field
explanable
1425
151:12 160:4 172:11
183:13 explanation
94:12,15,16 explanations
fact 15:18 24:3 64:10 66:13 89:1493:6 111:1 113:23 120:2 122:3 124:11,22
fifteen 53:15 54:17,22 55:6,8,21 57:4,16,19,20 154:17 177:13
186:15 exposed
42:18 48:3 50:18,19,20 52:2 54:9 55:1 58:20 60:1,3 60:9,14,19 71:3 72:17,22
132:5 134:13 146:13 149:12 151:17 154:11 159:22 175:10 178:1 190:14 195:14 197:10 factor
fifth 80:23
fifties 168:13
fifty
81:1 87:14,16,16 88:21
23:15 53:11 72:14 75:20
91:9 120:9 159:4 160:17
121:11 133:19 157:7 187:13 199:16,17200:1,12
115:21 130:2 184:12,18 185:1
161:9 figure
201:21 exposure
22:16,19 24:22 25:16,21
factors 17:21 23:7 25:11 71:17,20 72:16 73:2 74:17 76:22
49:23 filed
182:7
44:11,15 45:17 50:22,23 54:13 58:7 61:20 62:16,20
114:12 116:21 factual
fill 93:15 96:2,3,15,19
64:11 65:5 66:23 70:7 74:5 152:15
final
74:22 75:15,21 77:17 78:5
16:12 46:7 79:21 81:18
final (cont.) 82:15
finalized 79:6 81:12,13
find 50:1 53:2 59:11 65:8 97:21 98:17,17,20 118:6 127:12 144:16 159:16
finding 38:20 145:13
findings 148:5 190:19
fine 83:14 118:15
fires 130:21
first 4:12 14:10 15:21 17:3,9 60:2 81:3 84:13 88:19 108:11,12 127:19 144:19 172:20 190:4 202:23 208:5 209:13
fish 51:4 52:13 75:21
fishbein 198:13,14,23 199:4
five 12:17,20,21 13:13 14:5,17 30:13 43:10 46:22 48:18,20 52:11 53:9,21 54:10 55:5 56:6 58:12,14 80:11,19 83:21 97:14 103:11 107:3 115:8 121:9 135:23 138:8 138:16 153:22 157:22 159:4 160:17 161:9 184:11
flat 99:18,21,22 100:4,18,20,22 103:5,5,6
flip 46:16 47:12
flood 15:5,8,12,21 16:17 95:6 96:1 143:11,13,13,16,21 159:10,12,15 160:18 161:20,23
fluids 10:10
focus 92:23 142:17
focused 26:4 92:11
follow 140:1
followed 198:2 199:3
Kaley, Robert; Tolbert
HARTOLDMONO015333
[follows - guess]
follows
france
generalizations
going (cont.)
4:13
177:13
87:3,4
76:22 77:20,21 78:4 79:8,9
food
frank
generalize
82:19 85:22 86:6,18,20
110:14
14:7 25:19 198:2 199:1
144:1
89:19 90:5,10,23 91:22,23
foot
franklin
generally
92:3,4,19 95:15,18 96:17
147:10,12,13,15,18
1:1
7:9 12:1 21:7 40:9 43:17
98:2,3,7,7 104:4,21,22
force
frankly
44:3 65:23 142:9 151:5
105:5 109:14 112:18
199:21
73:1 94:4 119:18 167:19
158:18 182:14
113:10 121:12 123:7 126:5
fore
198:23
generated
128:16 135:6,7 137:6 138:5
200:3
fraught
22:15 37:1 143:5 166:15
138:7 142:9,21 143:2 144:5
foregoing
45:6
183:3,4
154:8 158:23 170:19
209:22
freely
genesis
175:12 177:1,3 178:9
forest
96:12
207:11
183:20,21 184:1,23 185:9
130:21
frequent
genetics
185:20 194:23 195:1
form
9:23 10:2 188:20
71:17
196:22 199:20 202:10
3:1 93:5
full
george
203:4,11
formality
174:16
5:4
good
2:1,1
function
getting
28:5 49:15 65:9 73:13
formalized
136:20
34:18 35:17 36:19 51:10
191:3
22:12
funded
60:6 62:1,1,4 68:7 70:4 gotten
format
149:17
94:8 95:1 118:9 177:20
35:5 74:16 80:14 95:8 96:1
102:9
furan
giant
96:2
formed
124:18 129:9 130:13
108:5,8
government
123:19
furans
give
75:5 119:20
former
123:1 124:15,23 125:2,16 76:6,7 116:22
graph
9:11 120:16
125:20 126:6,15,22 128:3 given
159:18
formerly
128:12
15:20 31:9 65:3 68:9,10 grease
8:9 further
87:1 144:11,13 202:11
61:9
forms
3:1 25:18 43:3 57:2 145:17 gives
great
164:10
210:7
117:1
11:16
forty 91:5,8 160:21 161:7,10,19
forward 121:18
found 16:5 18:17 111:7 122:8,9
gadsden 202:18
game 112:18
g
glad 84:8
gloves 61:4
go 15:12 25:15 28:20 42:14
greater 137:18 138:10
greensboro 2:1
ground 21:1 106:10 167:7
134:5,7,9,19 138:22 142:18 'k'7-0
48:17 49:19 52:4 53:2,22 groundwater
146:22 148:17 149:20,23 150:1,1,10 157:1,3,6 159:16,23 170:17 183:17 187:10
gastrointestinal 63:10,13,15
gather 144:7
59:2,10 60:2 64:2,18,23
41:16,20
65:7 74:5 84:16 85:14,14 group
85:15,16,16 90:7 92:5
44:7,10 69:1 103:2 104:7
98:11 104:14 106:1 107:20 120:8,17 122:19,22 123:3,8
foundries
116:7 121:18 132:14
123:21 141:11 158:22
96:11 four
13:3 14:5 30:10,13 35:6 97:14 102:7,17 115:8
gc 15913
geared 67:16
general
134:22 138:2 151:23 193:11,15 205:1 207:13 goal 138:9
159:2,2,5,11 174:5,5,8 175:3 176:23 177:5,11 179:5 187:2,16,17,19,22,23 188:6
120:12 122:17 126:14
6:14,16 11:11 12:4,4 20:17 goes
groups
154:14,15 156:2,4 161:6,11 184:10
54:4 57:11 59:12 60:16 73:23 86:12 88:2 89:1
51:2 85:13 95:4 147:20,21 10:22 123:6 132:18
198:17
guarantee
fourteen 131:5 156:6
fourth
157:1,3,9 162:23 171:12 174:3 181:20 189:9 200:5,5 generalities
going 14:1 16:20 27:7 38:10 41:1645:17,19 51:12,23
97:22 guess
5:2 10:15 12:8 25:10 26:18
128:2,5 frame
71:19 generalization
53:5 57:1 59:21 60:10 63:22 64:4,5 65:19 66:13
38:12 43:7,23 44:17 47:8 51:21 64:16 68:2 81:20
41:19 163:1
158:9
67:2 68:23 69:1,2,16 72:18 90:3 95:3 97:1 108:4 131:7
73:2,4,5,15 75:12 76:5,21
148:5 166:4 172:8 181:21
Kaley, Robert; Tolbert
HARTOLDMONO015334
[guess - important]
guess (cont.)
hearing
hog
hundred (cont.)
189:21 206:3
191:1
134:5,13,13
186:6
guessing
hearsay
hogs
hundreds
88:8 97:1
133:9,18,22 134:10,11
150:13
guide
heat
hold
hydrochloric
179:18
10:9 26:14 27:11 28:5
20:15 42:7 56:13
36:23 37:3 38:4
guy
heated
holding
hygiene
52:6 66:9 121:16
164:14,19
119:18
61:11
guys
heating
hook
hypothesis
65:21,22 172:5___________ 26:20 27:5,17 28:9
99:23
93:17
h heavens
hope
half 15:12 84:14,15,16 85:23 86:1,5,11,20 87:3,10,14 88:2 89:7 154:10,13 155:21 156:4 172:19 184:13
108:18 held
5:8,10 135:3 help
53:23 73:21 78:10 116:1
18:9 hoping
105:8 hose
32:22 37:13
i.e. 75:20 160:4
iarc 172:13 178:20,21 179:22 180:15,19 195:8,14
hand
119:4 186:11
hours
iarc's
142:6 handle
hereto 3:1
86:2 house
195:18 idea
9:12 hanson
89:13 hanson's
182:16
hermanson 94:2
hexa 120:20
hexagon
6:14 huge
112:22 119:20 150:16 166:15 hugh's
192:14 identifiable
50:23 identification
135:11
happen 67:10 155:11 191:23
happened
99:20
88:12
high
human
11:1,23 24:21 28:1552:13 23:12 26:11 42:11 44:1
identified 13:1220:1 137:16
identifying
156:10 happening
55:20,21,23 60:4 72:19 93:8 121:2,11 130:8 145:2
46:9 51:9,16 58:6,10,19,22 66:18,20 67:6,17 68:19,22
135:13 138:9 ifs
99:17 163:15
145:15 154:18 159:16,23
69:8 70:3,4,4 72:17,22
155:2,10
happens 23:6 26:13 59:23
happily 193:2
happy
161:1 197:14,15 199:11 higher
27:1631:1448:13,15,17 50:1451:6,1356:461:19 74:21 87:11 88:10 89:4
76:16 77:15 78:2 82:8 86:19 106:16 108:20 113:17 118:19 119:7 171:18 172:23 173:2,4,20 174:8,9,11,19,20,22 175:2
ii 1:1 2:1 4:11 5:4 208:13 209:13
illness 70:7 75:13
77:12
90:13 128:15,17 148:5
175:5,13,20,21 176:10,15 illnesses
hard 32:20 45:13 80:18 183:10
hazard 196:2
headed
157:3,6 158:6 184:1,6,7,13 184:19,21 highest 28:13,1429:9 120:11,17 128:16 132:13 144:20
177:16,18,22,23 178:7,17 180:11 181:6 184:9 185:13 185:15 194:4,14 195:4,10 195:21 196:12 199:15,16 humans
70:5 illustrates
153:18 immediately
21:15
173:12 health
7:8 23:12 26:9 42:11 43:23 44:1 45:8,22 56:14 58:17 58:22 79:2 82:12 90:19
highly 26:5 28:1 31:6 54:9 60:14 87:14,16 200:11
highway 140:19
23:9 24:10,12,22 26:9 66:22 67:9 69:10 74:5,20 76:19,23 77:11,18 100:10 106:21 108:7,9,17 109:21 110:2,8 111:2,12 113:6,14
immunological 153:1
impacted 20:1
implementation
106:15 117:20 119:7 127:9 hill
115:18 152:23 153:7,10,12 205:14,22
152:20,21 154:4 158:12 170:3 178:7 179:3 187:5,13
174:15 190:21 hire
198:5
171:3 175:11 180:13 181:2 189:12 190:11 192:9,13
implemented 204:23
187:21 188:6,13,14,22 194:5 hear
150:7 207:2 historical
84:5 182:6
196:3 hundred
34:19,21 43:10 58:12,14
implementing 206:13
implications
61:8 heard
history 36:2
59:6 86:16 87:8 89:17 91:4 103:11 129:19,23 138:5,7
110:10 194:13 important
33:18 112:13 149:9 174:16 hoc
159:4 160:16,21 161:6,9,10 91:10 100:9 104:5 154:23
205:18
161:19 183:22 184:14
191:16
Kaley, Robert; Tolbert
HARTOLDMONO015335
[impossible - know]
impossible 104:2
impotence 167:19
impurities 121:10
impurity 122:6
inadequate 173:8 175:14 176:13
inappropriate 117:10 118:20
inception 5:19
include 11:13 15:4 152:23 204:21
included 115:8 128:5,6 140:20 143:14
includes 91:13
including 25:1 30:15 166:12 195:21
inconsistencies 183:2
inconsistency 111:19 176:22
incorporated 152:10
incorrect 182:21
increase 29:1 55:3
increases 40:19
independently 116:9
index 4:1
indicate 62:15 78:3 189:19 198:15 202:4 207:18
indicates 41:19 197:21
indicating 142:7
indication 197:19
indications 171:15
indirect 196:1
individual 26:20 27:6,9 28:4 29:3 62:21,21 65:5 70:18 71:9 71:12,23 73:4,19 87:19
individual (cont.)
internet
117:5 159:19 183:6 187:6 80:15,17 154:8
190:7
interpret
individually
111:10
11:8 interpretation
individuals
176:18,20
52:12 157:6 158:5
interpretations
information
152:13
96:8 116:13,15 117:14,15 interpreted
117:18 133:21 144:7 152:6 113:7
174:20 175:4,14 179:7
intestines
194:4,5,9 204:13
171:17
ingestion
introduced
62:4 84:11
inhalation
investigated
62:3 171:3
inhaled
investigation
61:21
141:3
initial
investigations
134:13
19:22
initially
involved
197:18
14:14,19 20:18,19,22 77:1
initiators
84:10
196:1
irac
injunctive
172:16
202:20
irac's
input
174:3
15:2 51:17 206:3,7,10
issued
inputs
82:12
9:5 issues
inside
7:6 8:8,13,17 9:1,4,5 24:2
48:4 92:18
48:1 124:18,19__________
instance
j
60:5 62:17 67:23 85:18 93:20 114:5 132:19 159:11
jar 27:11
160:4,14,16 189:11
jefferson
instances 153:20 202:21
intent 163:6
interactions
209:5 job
5:10 188:12 208:2 jokingly
194:7
205:20 interchangeably
7:15 interested
210:10
journal 151:10
judged 64:20
judgments
interesting
191:7
104:21 interestingly
jump 194:23
111:23 interfering
104:12
jumps 182:20
justification
interim 115:22,23
49:2 83:11 117:8 118:23 justify
international
16:11
172:15 178:22
k
kaley 1:1 2:1 4:11,17 5:2,4,5 42:9 98:12 135:12 154:3 208:13 209:13
keep 10:20 16:13 18:2 79:9 122:18 167:1 188:21
kelly 2:1 4:16 134:22
kid's 204:6
kin 210:8
kind 26:11 32:21 33:1 45:2,12 87:10 96:22 99:20 103:5 118:13 148:13 169:22 175:14 179:17 182:6
kinds 8:19 20:6 36:15 38:7,22 58:3 59:11 164:1 186:9
know 6:21 8:1 10:2 11:6 13:18 14:3 15:14 17:19 18:12,23 19:20 21:5,1325:3 28:1,16 29:23 30:11 31:11,17,22,22 32:6,7,15 33:16,18,19 34:18 35:10,10 36:5,12 37:11 38:20 39:9,22 40:4 42:4,5 44:3,17,20 45:14,15 45:16 46:16,20,21,23 48:10 48:16,22 49:4,11 51:5,10 51:13 52:23 57:1 58:12 59:22,23 60:22 61:1,2,5,23 63:18,21 64:19 65:7,11 66:2 67:18,19 68:2,4,6 69:4 69:14,21 70:1,22,23 71:17 74:9 76:14,19 77:4 78:23 80:5,12 82:6,16,19,21,22 85:4 87:11,13 88:3,5,13,21 88:22 89:2,7,15 90:20 93:22 94:1,1,3,6,7,9,17 96:8 97:1 99:1,10 104:17 106:2,11,19 107:2,17 109:6 109:7,8,18 110:14 112:12 114:2,8 116:4 118:6,11 121:12 125:12 128:8 131:2 132:1,4 133:1,13,17 134:15 134:16,17,18 137:1,9,11,15 138:7 139:6,9,10,12 145:22 146:1,9 148:9,10,11,12,23 149:6,8,10,11 153:13 155:10,13,15 156:5,6,11,13 157:13 158:17,18 159:1,3,7 159:19 160:7 161:21 162:3
Kaley, Robert; Tolbert
HARTOLDMONO015336
[know - liver]
know (cont.)
large (cont.)
legend
levels (cont.)
162:4 163:1 166:23 167:10 163:21 165:8,10 209:9
136:2
199:17 200:5 203:20
167:17 168:9 169:5,12
210:18
legible
life
172:7 173:22 174:2 177:1 largely
97:5
84:17 86:1,6,11,21 87:10
177:11 178:2 179:14
39:12 177:15 205:13
length
156:4
182:10 183:9 184:12
larger
6:5 lifestyle
185:19,23 186:10 192:6,10 47:1 132:17 137:5 143:12 leon
71:16
193:18 196:4 199:8 200:21 143:15,17
177:12
lighter
200:22,23 201:5 202:1,21 largest
lesson
31:4
203:18 205:17 206:16
187:2,16
28:17,18 106:4
lightfoot
207:23,23
late
letter
1:1
knowing
36:3 40:1741:19 163:19
78:6,11,11,12,21 81:8
likelihood
34:6 88:4
166:4
82:20 91:2 98:12 113:19
17:18
knowledge
latest
123:16 131:6 135:18
limestone
17:23 28:11 96:5,7 140:7
126:19 202:17
149:11 154:4,22 158:11
37:6,7
141:23 148:13 151:11
law
182:23 186:22 203:17
limit
knowledgeable
1:1 172:7,9
204:2
166:8
8:7,11,23
lawful
letters
limited
known
4:11
203:22 205:1
28:11
7:1 70:3,4 75:20 76:11,13 layperson
level
lines
104:19,20 112:7 113:17
74:10
11:1,23 12:8,10,13 13:15
117:9
122:20 148:3,3,4 150:10 lays
16:21 19:6,10,1321:9,12 lipid
173:20 174:19,22 175:4,9 17:8
21:14,20 22:4 31:14 43:20 94:10
175:12,18,21 179:13,21,22 lead
44:6 46:11,13 48:2,19 50:4 liquid
180:9,14 194:5 195:4,10
168:2,4,6,18,20,21 169:2,4 56:18,19 58:5 69:10 70:6
37:3
I
169:15 170:1,2,4,8,15,18
72:18,22 73:11,12,23 74:1 list
l.l.p.
leading
74:3,22 75:8,11,22 76:2,14 150:6
2:1 lab
19:22 leaf
76:15,19,23 77:8 84:23 lists 85:5,6,7,7 88:23 89:3 90:13 149:22 150:2
130:18 183:5 186:8
97:20
91:1693:8 115:18 117:4 literature
label 113:17 143:4 178:9
labeled 14:6 144:23
laboratories
leaked 167:9
leaky 167:7
leap
120:11,12,17,19,23 121:7 122:1 129:11,16 130:8 147:11,19 154:16,17 155:14 166:5 173:19 199:21 200:8 201:1
7:2,5 47:1 49:18 58:10 59:3 59:13 64:18 65:8,11 70:12 83:1790:19 111:9,14,15 113:4,11 150:9,11 152:6,9 152:14 173:17 177:16
183:8 186:3
108:6,8,10,11,12,13 109:6 levels
189:2,7,9,14 190:2,4,5,10
laboratory 46:1747:13,16 101:18 104:15 105:12 157:20
laboratory's 185:22
lack 63:4,5
lacks 153:19
lake
109:20 leaps
110:21 learn
179:16 learning
36:5,8 leave
176:16 leaves
12:4,5 15:22 16:1 22:17,19 191:10,21 192:1 196:12
24:1,20,21 30:16 38:18,22 198:2 201:18
39:2,14 43:4,13,16 44:8,12 litigation
45:447:1948:13,13,15,17 9:2,3 43:20 46:20 69:16,17
48:21 51:7,12 52:10 53:4
131:22 141:2 157:13
55:2,18,20,21 56:22 57:3,3 202:22
57:7,9,14,15 58:4,8,11
little
59:14 60:4,9,9 66:23 69:2 40:23 66:12 77:4 103:9
72:19 83:20 87:2 93:20
109:7,12 115:12,13 123:9,9
95:7,12,18 101:11 102:21
140:17 145:17 164:5
140:17,18 160:13
28:1
102:22 107:15 110:11,12
168:21 185:10
landfill 32:12 39:1,17,19,22 40:3,5
leaving 31:6 41:20
121:9,12,14,19 122:10 123:23 124:6 126:13
live 17:1291:5
40:9 133:16 142:15 landfills
38:13,20 39:6,14,15 40:14
lecture 106:3 108:20
left
127:14 130:13 131:15
lived
132:13 133:22 134:7 139:3 17:10 143:1
148:5,17,21 152:8 156:9 liver
40:1941:3,7,17 large
86:7 142:6,10 193:10,14,15 157:1,5,6 158:6,7 159:17
25:6,11 56:16 59:1 134:14
legacy
159:23 164:23 166:1 169:6 134:18 152:23 171:16
1:1 2:1 31:18,21 32:2 39:5 8:12,12,15
170:14 171:14 183:17
197:12,16,22 198:3,7,9
44:4,21 45:22 91:13 96:1
194:13 197:14,15 199:12
199:1,10,12,22 200:8,16,18
Kaley, Robert; Tolbert
HARTOLDMONO015337
[liver - medical]
liver (cont.)
lot (cont.)
manufacture
mean (cont.)
200:20 201:20 202:6
80:7 94:11 129:15 130:21
30:1,3 122:6 123:18
43:17 44:3,21 46:18 47:3
lives
130:22 167:2 184:7 204:12 manufactured
47:14 48:16 49:12,18 50:4
84:14,15 87:4,14 88:2 89:8 206:9
28:12 29:20 37:1 121:8
50:8,20 52:10 53:20 54:21
154:10,13 155:22
lots
manufacturer
56:11 57:9,13,14 59:10,21
living
113:2
9:8 30:18
59:22 61:1,8,10 63:5,18
54:11,16
louis
manufacturers
64:15 67:14 68:3 69:12
loael
5:17,18,21,23 6:4
40:15
70:19 74:13 75:9,15 77:2
73:7,7,9
love
manufactures
83:13,19 89:15 90:9 94:13
loath
118:6
10:8,10
95:14 96:9,16 97:21 102:12
98:22
low
manufacturing
103:10 106:11 107:11
located
55:2 57:3,7 60:9 102:20,22 10:728:1793:5 171:6
108:18 115:18 119:12
5:16 6:5 93:6 94:18
110:11 121:19 155:14,17 map
122:17 130:20 131:20
locations
lower
4:6 14:2 17:4 97:4,5,8,9,12 142:2,3 149:8 155:4,10,20
158:16
14:13 26:7 27:13 48:12
134:19,20 135:15 136:15
156:8 157:21 158:20 159:3
logic
49:3 51:6 54:23 77:10
136:16 139:16,16,17,17
160:9 163:22 168:19 170:5
14:3
87:11 88:8 101:10,11
140:1,2,2,15,21 141:19
172:6,10 176:12 177:22
logically
107:15 142:5,5
142:3,6,8,10 143:15 146:13 178:13 181:20 184:22
121:13
lowest
146:14 148:14,19
185:9 188:8 189:21 190:21
logs
73:12
maps
197:21 198:17202:18
134:1
lowly
143:13 148:21
203:6 205:12 206:16
long
87:16____________________ march
meaning
5:20 56:14 88:18 121:5
m
194:1
magic
longer 16:1
look
51:23 magnitude
124:5 129:10
11:5,7 25:23 26:2,19 27:10 35:15 44:15 47:23 50:12
main 13:9 160:6 196:21
53:16 60:2 62:22 63:22
maintain
64:2,16,22 67:1 87:2 99:21 116:19,20 127:19 146:3 152:3 156:7 166:21 173:4,7 174:6,7 182:11 191:10 looked
7:6 maintaining
8:15 major
46:9
15:16 32:1 48:7 53:1,2
majority
157:12 165:20 181:21 182:10,15,16 198:19 looking 53:12,13 59:12,13 71:6,7 87:7 97:8,12 112:20 114:2
29:19 44:4 making
29:1036:1469:13 110:21 119:19 156:9 mall
118:5 126:1 135:14 148:7 159:19 174:8 199:2 202:20 looks 143:22 loop
141:16 man
20:23 management
203:14
163:5
manager
loss 167:5 168:1
6:21,22 7:11 9:21 managers
losses 166:8,9,10,12,14,17,17
lost
194:10 manages
7:5
163:12,16 165:3,14 166:22 lot
manner 81:1 85:17 142:9 210:9
22:1,3 35:8 43:4,18 47:2 manners
51:8,20 53:10 68:8 76:7
117:16
202:14 204:1
12:21 50:8 73:10 113:20
mark
157:17,17,19 163:7
135:6
meaningful
marked
45:19 67:21
135:10
meaningless
marker
91:1
85:3 means
maroni
10:2 36:19 67:18 68:4
198:11 199:1
74:11 81:14 90:13 94:4
material
107:11 174:3 177:5,14
10:1229:1561:1785:9
181:1
168:5 178:12
meant
materials
47:7 77:22 151:8 188:9
27:13,19 28:19,20 29:13
202:5
31:4,8 61:7 116:5 133:20 measurable
166:18
122:4 169:6
mathematics
measure
72:23
34:18 47:3 48:4 70:6 84:22
matrices
85:8,11,18,19 114:6 116:7
185:16
measured
matter
41:5 88:5 89:11 121:11
89:22 90:1,1,4,21 165:19
122:4,10 134:7
173:1 181:5,16 209:15
measurement
matters
34:17
57:17 90:22 101:2
measurements
maximize
36:15 98:13
131:14
measures
maximum
61:14
160:21
measuring
mean
38:17 86:8 94:3 115:2
11:3,4 12:1 15:10 17:3 21:2 mechanism
21:21 22:8 25:14 26:22
109:8,15 175:9,11
28:16 32:19 33:4 34:15 medical
35:14 38:3,22 40:2 42:21
187:4
Kaley, Robert; Tolbert
HARTOLDMONO015338
[medicine - northern]
medicine
million (cont.)
monsanto
need (cont.)
172:8
21:10,10,16 34:19,21,23
1:1 5:13,19,20,21 6:20 7:13 191:20 207:12
meet
58:13,16 71:1 75:2,6 91:16 7:19 8:10 10:16 35:20 36:6 needed
205:17
95:14 121:9,20 136:1
120:16 121:8 133:8,9,10
21:14
meeting
137:11,18 138:23 147:1,2 135:19 162:8 165:13 193:2 needs
177:12
148:6 160:22 207:19
193:8 201:10,22,23 209:17 68:17 185:2
meets
millions
month
negative
172:3 180:22 181:4
95:14
10:5 79:10 204:17,18
176:14
melanoma
mind
monthly
neighborhood
171:18
22:10 43:21 53:12
205:19
140:17 141:8 160:14
member
minds
moore
neither
123:9
174:11 177:11
2:1
67:11 210:8
members
minimal
morbidity
neurodevelopment
196:15 197:3
103:10
46:1,5
153:2
memorized
mink
mortality
neutralized
80:6 103:13
76:9
44:20 45:10,21 46:3 171:5 37:8
memory
minks
move
newspaper
42:20
77:5,8
16:4 32:22 40:20 142:21
162:6
memos
minor
143:2
nice
201:16
111 :22
moved
65:21
mental
minus
14:12 33:11 78:14,16
nine
153:2
186:5,6
moving
29:3 52:11 53:9 83:20
mention
minute
14:12 15:21 38:6 92:15
86:16 89:17 102:15 129:1
42:10 80:9,19 120:1 121:18 153:22 207:14
118:10 145:11,17
129:10,11,18 138:5,7
125:8 128:22
minutes
mpds
158:15 174:1 183:23
mentioned
86:4 207:12
42:5
184:14
111:5 193:20 200:6
misinterpreted
mud
nineteen
mentioning
150:5
96:19
52:1
125:15
misspoke
multiply
ninety
mentions
121:1 201:17
68:12 114:17 130:3
48:18,20 80:23 129:23
49:22 159:9 mercury
mix 172:8,9
n 174:1 ninth
162:9,11,13,17 163:4,11 mixed
164:1,4,11 165:2,21,23
38:9
166:8,22 167:15,20 169:15 mixture
8623 name
5:3 175:12 203:12
142:11,16 nitrophenol
10:11
169:16,23
27:10,15,22 30:20 31:3,4 narrow
noael
merely 197:6
met 191:12,15
meteorological
109:1 114:15,18 115:1 116:3,10,19 mixtures 26:6,8 28:19 29:1,16 30:4 31:19 118:5 195:21
14320 national
130:11 196:22 197:7 natural
9623
73:6,8,8 nobody's
87:1 non
179:12
204:21 michael
2:1 mid
41:1842:6 138:12 162:15
mobilize 37:14
model 99:10
molecule
nature 22:6 104:8 189:10
near 133:10 141:16
nearest
noncontact 38:8
nondetect 46:12,1447:10,14 157:17 157:19
163:19 168:13
26:20,22 27:7,9 28:4 99:19 145:10
nondetects
middle 13:1,3
100:13 101:23 molecules
necessarily 11:7 25:2 56:17 145:7
44:5 157:16 normal
mike 55:14 207:11
mile
28:23 29:3 30:10 99:14 100:6,20 money
155:6 184:7 197:20 necessary
42:12 69:8 191:20
44:8 47:18 52:3,8 54:11 55:10 57:22 61:11 82:2,8 93:11
14:16,16,17,17 15:1391:6 149:18 167:18
91:11
monitoring
need 3:1 8:22 43:22 44:14 75:18
north 1:1 2:1 135:19
million
41:15203:21 204:10,11,15 122:18 178:10 179:16
northern
12:9,14,16 13:15 19:14,15 204:19,23
186:15,17 190:12 191:17
1:1 209:21
Kaley, Robert; Tolbert
HARTOLDMONO015339
[notable - particles]
notable
obviously (cont.)
okay (cont.)
outs
187:1
161:15 170:6 189:7,8
176:4 179:8 181:23 182:9 17:8
notably
occupational
185:7 187:17,20 194:23 outside
29:16
50:21 171:4 200:12
195:2 198:4 199:19 201:4 9:11 15:5 16:17 17:1593:9
notary
occur
202:8 204:4 207:13 208:7 93:18 94:18 95:5,23 139:8
1:1 2:1 209:8 210:17
101:13,16,17 159:22 192:5 old
140:4 146:17 148:6,22
note
occurred
94:6 204:6
159:10,15 160:17,18
91:4 135:5
101:23 175:11
older
outvoted
notice
occurrences
51:12,12,17 55:3
196:18
1:1 209:10
64:3
oldest
overabundance
number
occurs
120:11
178:8
19:7 21:1723:11,1528:13 102:2
oln
overall
28:14,22 29:21 30:2,19 ocdd
140:16 160:13
11:6 126:17 142:3 175:5,7
35:1,12,21 39:17,20 40:4
129:10,14 130:7,8,19
once
overestimates
43:8 47:16,23 49:2 50:13 octidioxin
10:4 32:9 101:7 103:17
165:2
52:1 53:7,21 54:7,23 55:3 129:14,23
141:23 164:9
overknowledge
56:1,8,10,23 59:2,4 68:14 October
ones
11:11
68:15 70:16 71:15 74:23
98:5 105:6 136:10 186:20 14:9,10 28:2 102:6 115:6 oversight
90:21,22 91:7 104:15 112:6 ocular
125:21 198:18 199:9
92:21 204:20
114:4 115:4 127:20,23
153:1
ongoing
overview
128:15,17 129:18 135:17 offer
119:12,16 203:2
11:11 12:4
148:2 151:4 152:8 161:9,10 147:5
operating
owners
166:11,15 167:16,22 182:7 offered
12:12 17:17 18:5,11
138:18
184:1 196:14 201:5 209:19 3:1
operations
oxford
numbered
offhand
95:19
140:16,18 160:13
14:5 102:13
141:15
numbers
office
8:19 22:14 27:8 34:5,8 35:9 6:7
36:10 41:5 44:21 68:10 offices
opined 187:4,12
opinion 47:15 49:10 160:7
P p.m.
1:1 208:14
76:6,12 84:1 89:19 102:10 1:1
165:1
official
numerous
69:13
opposed 29:1357:1561:21 124:12 184:2
4:3,5 80:10,12,19 131:5 154:6
110:9,16,19 o
oh 51:1 66:9 98:1 108:18
order 12:12,19 13:11 17:7,16
209:23
objecting
149:10 158:22 202:1
18:4,10,20 21:6 78:21 92:6 59:5,9 64:20 151:10
83:1 okay
98:4,6 136:3,9,19 137:6,17 papers
objection 83:14,16
objections 3:1,1 185:4
objective
5:15,23 12:11 15:11 17:19 138:2 139:21 140:20 205:5
18:1,6 21:8 29:6 34:12 42:8 205:6,23 206:5
47:20 48:15 50:16 52:4 ordered
53:5 56:2,22 57:18 58:9
206:1
62:18 65:18 69:6 70:21
orders
59:4 para
10:11 paragraph
80:20 125:15 127:4 155:1
191:9 observable
73:11 observe
185:7
72:6,16 74:13 75:4 76:10
20:4
77:23 78:6,13,18 81:16 organic
82:5 84:8,18 85:11 86:10
38:1
86:14 87:6 89:23 90:7 94:5 organization
98:20 99:9 101:12 102:16 179:4
156:19 pardon
181:9 part
15:18 19:13,15,20 21:10,15
observed
105:9 107:16 108:23
original
38:20 48:6 91:16 95:13
73:12 198:6 obtained
109:22 110:3 112:9 113:19 92:20
115:14 116:19 121:4
originally
103:16 111:22 129:9 136:5 137:10,18 138:8 141:3
44:23 obvious
121:6 183:1
122:11,16 123:5 124:16
125:19
126:18 128:22 130:9 133:6 otter
135:1 136:14 138:8,8,20
76:8
146:22 147:17 148:6 160:22 166:23 168:19 183:6 188:12,16,18 205:21
obviously 9:1 15:17 17:3 24:2 27:2
140:10 146:7 147:20 149:2 outcome
149:21 150:2,5 151:19
90:6
207:19 particles
33:10 49:9 66:20 67:15
152:19 153:21 155:3
outgrowths
95:9
94:13 119:14 128:16 159:4 158:11,23 161:13,17 173:3 113:22
Kaley, Robert; Tolbert
HARTOLDMONO015340
[particular - point]
particular
pcbs (cont.)
people (cont.)
physiological
14:8 15:7 17:9 23:14 26:16 58:21 61:9,20,22 62:5,16
207:3
100:11,15 101:19
43:7 63:7 112:5,21 114:5
62:20 63:2 65:5,11 66:4,5 people's
pick
119:10 136:15 139:11
69:18 71:3 72:2,10 74:5
134:4
59:2,4 71:13
150:12 169:13 181:18
75:22 77:8 80:23 81:5
percent
pickup
207:4
84:1586:11,1787:11,12
21:10 48:19,20 129:20
39:1 96:14
particularly
89:4 90:20 91:15 92:17
174:1 184:9 186:5,7
picture
26:10 132:1 171:16
93:4,8 94:8 95:7 98:18,21 percentage
63:1 109:21
parties
99:3,6,12,14 102:3,7,18
157:14
piece
2:1 3:1 210:3,6,9
103:7 104:5,9 105:14 106:4 percentile
64:20 95:5 140:4 145:8,9
parts
106:7,14 107:2,8,21 108:8 80:23
pieces
12:9,14,16 13:1421:9
109:1,9 114:1 117:11,16,19 performed
190:9
34:19,21,22 38:21 46:21,22 118:9 121:6,7,12 122:6
132:17 201:2,20
piles
47:4,4,10 48:11,18,21 49:6 123:4,18,20 124:3,13,15,20 period
96:11,11
50:11 52:11 54:3,15 55:5
126:17,23 127:13,23 128:3 66:5,6 90:8 168:3,8
pits
55:21 56:6 57:20 58:13,14 128:5,6,12,15,17,19,21
periodic
37:7
58:15 59:6 82:3,8 83:10
129:6,7,16,17,19,22 135:22 201:17
place
85:10 95:14,15 121:9,19
138:23 141:1 142:18
periodically
81:3 84:13 96:20 115:17
129:20 136:1 138:23
144:10,16 145:13 146:18
150:18
124:5 148:1
151:19,20 157:21,22 164:1 148:6,17 150:1 152:22
permit
places
party
154:10,11 155:22,23 157:1 41:11,11
102:10 143:19,20
3:1
159:17 166:5 168:6 171:2 permits
plain
pathway
171:14,19 178:4,15 183:5,6 42:2
15:5,8,12,21 16:17 95:6
92:10,12,16 93:3 94:18
185:12,19 187:4,13 188:15 persistency
96:1 143:11,13,14,16,21
95:20 142:21 143:8
188:23 189:11,20 190:6,10 154:10
159:10,12,15 160:19
pathways
190:15 192:3,9,12,20
person
161:20 162:1
14:11 33:11 94:21 133:7
194:16,20 195:4,17,17,22 7:1 45:13,14 54:14 55:5,10 plaintiff
165:21
197:14,15,23 198:7,9
69:18 70:15 71:13 75:12,13 2:1 159:6 188:6
pattern
199:22 200:14 201:2,21
81:1 87:19 90:12 120:14,15 plaintiffs
92:2 130:14
pcdd
121:4 124:6,23 127:21
1:1,1 4:5 43:9 131:11,21
patterns
122:2 123:23
128:14 129:3,10,11 178:14 132:18 138:18 187:2,12,19
91:14 102:12
pcdds
193:12 208:6
187:22,23 209:11,16
pcb
123:16
personally
plaintiff's
15:22 16:1 21:3 26:6,20 pcdfs
25:2 205:7
131:17 135:9
28:4,17 29:3 37:8 40:9
121:20
persons
plan
52:10 55:17 56:19 64:11 peer
78:4 120:9 124:1 132:16
100:5 204:22
65:10 84:5,14 86:16 93:20 81:11,14,17 151:1,3,7,15 person's
plant
100:6,21 101:7,23 105:2,10 pending
66:5 89:3
10:17 14:10,13 19:23 28:12
108:21 109:1,13 111:16
136:4 209:19
pharamacia
37:5,1641:2 61:1593:11
114:6,9 118:3,4,5 120:11 penta
209:17
121:5 134:9 135:19 142:4,6
120:12,23 121:7 123:8
120:20
pharmaceutical
142:13 143:1 162:14
124:20 127:15 133:22
people
84:20
plants
134:6 137:1 148:21 150:20 6:19 16:16 17:1029:11
Pharmacia
113:2
171:15 180:20 186:3
42:17,18 44:5,7,10,22 45:4 1:1 7:22 192:10,16,20,22 plausibility
197:10 199:12 202:12
48:3,8,12 49:6,13 53:22
192:23 193:7,11,16
112:14
pcbs
54:2 55:16 56:3 57:19 58:1 phase
plausible
7:6 10:16 12:15 13:14 16:5 59:14,23 60:3,5,8,13,18
202:18,21
112:15
16:20 18:18 20:1 22:19
61:6,9,12 64:13,18 65:6 physical
play
23:3,5 24:3,12,15,19,21
67:1369:1,1573:1575:12 200:19
112:18
25:22 26:14,15 27:3,11
75:14 77:12 78:14,16 86:22 physically
please
28:11,1829:1930:2,3,18
87:14 96:17,21 101:4
5:15
20:15
31:6,7 33:7,11 34:10 35:5 106:13 111:10 112:13
physician
plus
35:12 36:2 37:1,15 38:14
113:23 120:13 134:8 143:1 187:3
186:5,6
38:18 39:11 41:2,6,20
143:10 152:2 157:11,14 physicians
point
44:16 46:8 48:3,4 51:2,14 173:10 177:12 178:6
187:11,21 188:4,21 189:4 12:17,20 15:23 22:3 35:11
51:18 52:14,19 55:2 56:13 180:18 190:20 192:23
38:11 39:6 51:1 52:11,11
Kaley, Robert; Tolbert
HARTOLDMONO015341
[point - proves]
point (cont.)
potential (cont.)
probably (cont.)
promote
53:9,9,21 54:10 56:6 71:1
68:14 124:2,22 131:14
188:5 196:22 205:12 207:9 27:1
72:7 74:15 76:4 83:20,20 pots
208:4,6
promotors
85:21 86:5 90:12 91:2
168:7
problem
195:23
109:21 114:3 135:23
pounds
56:4 69:22 76:16 88:15 prompted
145:11 156:15 161:6,11
33:22
106:12 107:14 111:13,15
140:22 141:5
198:20 199:23 205:2
predictions
111:20,22 112:6 153:8,18 pronouncements
pointing
144:9
problems
192:8
165:18
premature
24:16 76:18 104:23 112:22 proof
points
117:11
113:9 152:16
110:1
70:8 98:12
premise
procedural
properties
policy
83:13
3:1
12:15 13:13,17 15:4 18:17
73:1,1,14 147:23 192:11 preparation
procedure
19:6,7 20:5,7,7 51:14 97:11
polychlorinated
181:17
3:1 70:21 79:13 115:22,23 99:4 135:21,23 137:9,16
9:9 122:23
preponderance
147:7
138:3,22 139:2,2 141:12
pond
64:6 process
144:4 146:21 159:6,20
70:23
present
22:12 31:2,10,17 36:22
160:11
population
102:20,22 135:22 147:12
37:18 38:3,5 39:10 40:12 property
42:14 45:20 48:20 51:9
192:17 196:2
42:5 71:5,6,18,22 84:11,12 19:14 20:10 95:5,10,23
54:4 57:11 68:15 70:17 presumably
144:17 151:9 162:13,16,17 132:12 133:10 134:6,10
71:8 73:18 75:7,11 81:3
90:10 205:1
162:19 166:8,20,22 167:4 140:4 141:6 144:5 145:8,10
87:2,5,22 88:2 130:11
pretty
168:2,4,20 169:2 180:1
146:18 147:10 161:2
157:2,3,10 158:3,10 171:12 65:23 96:12 161:1
processing
proportion
194:14 200:6
prevent
162:9
44:4 158:1
populations
168:17
produced
proposal
25:17 58:19 87:21 157:8 price
121:20 123:17
17:20 18:3 19:10 20:20
199:15,17 200:1
207:11
producing
136:20 197:6
porphyria
primarily
10:16
proposals
199:2
8:9,10 9:15 19:2 20:21
product
180:5
portion
21:12,23 22:5,22 23:2 30:9 27:4 28:21 29:5,7,12 30:7,9 proposed
142:10
31:20 32:2,9 36:20,23 38:3 30:18 130:19
11:21 18:7,21 19:21 20:12
position
93:16 128:10 142:15,19 products
66:17 91:21 136:3,6,8,21
5:5,13 6:12 9:20 159:21
150:11 163:19 164:7
8:16,20 31:11 102:21
137:2 144:3 195:19204:10
positive
172:12 189:1 194:6,12
123:18
205:5,23 206:4,13,22
63:23 174:12 177:1 181:6,8 primary
profess
proposition
181:10,11
8:6 9:8 138:9 179:8 197:2 196:9
34:10 59:9,22 60:16 113:5
possibility
prime
profile
propositions
25:5 178:11
125:21
50:1,2 52:9 81:5,9,22 83:1 41:23
possible
prior
83:3,12,18 149:2,13 150:20 protect
30:16 68:11 90:17 100:3
10:14 39:7,8 41:7,7
170:20 171:1 200:16
73:15 77:9
144:8 165:17 188:14
prioritize
201:20
protected
possibly
136:17 149:19
profiles
60:20
24:23 94:22 121:14 133:19 priority
150:14 200:18
protecting
155:9
14:9,13 17:11 144:21 145:1 program
75:16
posterity
145:3,15
92:11 203:21 204:19
protection
64:22
probable
progression
135:16
pot
172:23 175:17 176:2,3,8,16 25:18
protective
168:20
177:6,14,18,23 178:15,17 project
23:12 60:21 61:11 178:7
potencies
180:20,23 181:5
207:11
protest
114:13
probably
projected
99:2
potency
10:4 25:13 30:12 33:20
166:13
prove
101:11 114:5
36:1 39:1241:1,1243:1 projects
64:10 110:5
potent
48:5 49:1 60:23 69:20 74:8 9:22
proved
26:6
75:4 83:23 130:23 144:5 promising
110:20
potential
168:10,11 172:3 175:11
79:9
proves
23:8,9 56:12,15 67:8 68:9 176:15 181:1,14 186:21
108:16
Kaley, Robert; Tolbert
HARTOLDMONO015342
[provide - reduction]
provide 9:2,4 16:9 132:19 191:6,8 194:9 204:15
provided 3:1 142:16
provides 171:18
providing 204:12
proximity 100:23
public 1:1 2:1 20:7 192:8 209:8 210:17
publish 79:21,22
published 48:16
purchased 134:11
pure 29:14
purport 66:21
purported 62:20
purpose 3:1 8:14 52:22 136:14,16 179:8,17 204:4
purposes 135:13
pursuant 1:1 209:10
pushed 30:12
put 32:11 72:15 73:3,4,5 83:5 84:21 115:19 141:10 166:19 174:4 178:9
putting 27:23
px 4:6
q
qualifications 52:17
qualify 65:20
qualifying 52:18 65:23
quantifications 186:2
quantify 69:20,21 70:1 143:18 173:23
quantitate
rate
reason (cont.)
32:4
172:2
81:16 105:20 125:14
quantitative
rating
130:20 152:1 191:3
33:14 165:14
172:17
reasonable
quantities
ratio
54:7
39:5
114:4
reasons
quarter
rationale
21:13 51:8,20 56:8,9
13:2 86:7
14:7
196:21
quarters
rationalize
reassessment
12:23 13:3
183:11
119:19 126:20 180:6
question
rats
193:21 194:3 196:6,16
3:1 16:23 17:1 29:22 30:1
105:12,15 106:22 107:5,9 recall
35:16 42:10,22 47:5,6,20
107:13,22 108:6,9,16,22
125:11,13 141:15 148:20
78:19 81:6,20 91:19 92:20 109:2,5,9,10,19
162:5 165:6 167:13 188:1
95:3,4 97:3 102:2 107:11 raw
195:20 197:18 199:6
108:4 119:21 123:12
10:12
received
139:14,15 146:12 161:21 rcra
79:16 80:2
169:20 188:2 202:3
40:11,21
reception
questioned
reach
101:1
169:8 170:7
190:16
receptor
questioning
reached
100:12,16,19 101:1,8,14
170:13
183:15
102:1,4 103:18,20 109:14
questions
reacting
110:7 114:3,8 126:7
3:1 94:11 123:14 124:20
197:22
recess
quibble
reaction
98:9 153:23 207:15
81:14
26:23 27:2 32:2,10
recirculated
quickly
reacts
163:7
86:8
164:10
reclamation
quintard
read
207:20
141:16
4:17,1962:1264:1565:15 reclassification
quote
66:3 81:7 120:6 182:1
195:19
16:20 46:12 48:8 52:2
187:7
recollect
67:16 72:2 77:15 81:1,22 reading
83:3
82:23 110:1,22 115:5 125:8 42:8 120:4 123:16 210:3 recollection
159:15 192:1 195:22
ready
141:9 145:21 166:6 168:23
quoting
94:12,16
202:16
83:12
real
recollections
r
56:19,21 62:20 72:5,7
188:8
radius
14:16,1991:6,11 raicprl
74:15,20 83:16 118:14 119:17 161:15 reality
reconciliation 185:2
record
91:18 133:10 raising
27:12 ramifications
110:17,18,19
119:3 137:8 really
10:15 15:3,14 18:1226:10 29:23 31:22 32:21 34:20 36:3 37:16 42:5 44:14,17
5:3 79:5 134:23 135:3 207:13 recover 167:11,20 recovered
range
44:18 47:5,7 49:17 59:9
166:19
48:2,7 49:8 51:2,21 52:8,10 55:11,18 57:10,22 58:18
62:7 64:5 65:8 67:8,12 68:3 recovery
70:10 89:22,23 101:21
40:12
82:2,8 83:9,20 95:12 154:12 158:2 161:4,5,14 rank
106:6 107:14 109:8 112:4 128:20 130:5 136:7 144:1 168:21 169:10 170:16
recycled 163:8
reduced
161:8 rat
176:13 177:17 179:17 183:14 207:23
25:16 68:17 153:3 reduction
76:8 reason
80:22
15:1551:5 56:1060:8 81:7
Kaley, Robert; Tolbert
HARTOLDMONO015343
[refer - rigid]
refer 80:10 83:11 98:13 123:10 133:6
reference 100:2 119:10 125:23 126:1 127:20 156:6
referred 158:13
referring 36:17 98:2,8 124:9,10 127:3 131:16,18 133:1
refers 171:7
refresh 42:19
regard 19:2 82:13 181:19
registry 149:16
regular 188:19
regulate 110:13
regulated 73:22 75:1
regulation 74:8 178:12
regulations 8:19
regulators 73:21 178:6
regulatory 56:20 110:9 113:8
relate 24:1568:11 114:13 117:3
related 64:11 122:22 171:15 202:12
relates 114:23 125:9 180:20
relation 11:17,21
relationship 70:5 119:2
relatively 191:8
release 39:5
released 39:3 170:3 197:1
relevant 132:19
relied 152:12
relief 202:20
rely 64:1 81:4 152:3,12 186:14 189:1,6 191:22
relying 59:20
remain 8:7,10
remains 118:13 176:3
remedial 9:21
remediation 4:7 9:5 12:10 93:1 141:20 207:21
remember 42:22 66:9 78:8 82:18,23 84:7 145:19 162:2 165:7 167:11,22 168:10,14,16 169:13,17 170:5 184:20 198:16,23 199:4 201:15
removal 12:13,18 16:21 21:9,11 137:11 147:9
remove 31:3
removed 86:9
removers 61:10
removing 27:18
repairing 171:7
repeated 89:18
replace 167:21
replaced 147:13
report 6:9,10 36:2 49:22 62:19 65:4 173:5 203:20
reported 25:7,15 36:16 122:5 158:7 173:16 209:12
reporter 1:1 2:1 4:14 209:7 210:17
reporter's 209:2
reporting 165:1
reports 37:11 47:14 181:21 182:11 182:13 187:8 189:16 190:3 197:15
represent 16:17
representing 2:1
reproductive 76:9 77:7 153:3
request 132:21 141:5
requested 132:23 204:13
required 19:8,16 139:8
requirements 3:1
requiring 22:3
research 172:15 178:11,22 179:10 179:15,19
researchers 36:4
reserved 3:1
residential 19:3 20:5 135:21 138:3 148:1 161:2 165:22
residents 66:15 141:6
residue 117:1
resource 8:8 40:12
resources 179:9
respect 2:1 12:6 43:22 63:6 67:20 97:6 108:8 207:17
respirator 61:16
respond 79:18
responded 79:11 164:22 165:9
responding 127:6
response 79:20
responses 79:23 101:9
responsibility 8:6 67:3,5 188:17,18 205:13,21
responsive 99:1
rest 16:3 101:18
restate 77:20
result 56:22 78:5
results 11:4,1222:1423:1,2 49:15 185:22 204:16210:10
retrospective 171:4
revegetated 147:14
review 65:10 78:18,20 81:14 150:9 151:6,7,12,16,17 165:15 166:7 168:23 169:22 182:8 189:14203:10206:17,18
reviewed 11:16,17,2081:11,17,18 151:2,3 152:9 181:16 182:5 196:16 197:7
revise 79:19
revised 150:18
revision 150:19
rhetorical 175:6
rhodes 2:1
rhyme 15:15
rid 51:11
ridiculous 110:15
right 16:13 23:22 27:21 33:23 36:10 37:10 39:8 44:5 46:1 46:2 47:21,21 48:14 53:6 62:2 66:16 76:1 77:20 79:4 80:3,9 84:19 85:20,23 88:17,20 90:9 102:9,19 103:1 104:20 108:5 113:16 115:10,10 117:21 121:22 122:2,20 123:2,3,15,21,22 124:4 126:4,11,15 127:4,17 127:22 128:1,13 129:18 131:5 135:12 141:15 142:8 154:7 155:18 158:21 160:15,20 163:1 173:9 185:5,6 187:18 197:9,11 205:8 208:7
rigid 99:15
Kaley, Robert; Tolbert
HARTOLDMONO015344
[ring - shifted]
ring
ruling
saying (cont.)
seen (cont.)
29:10 30:3,11,14 99:18
3:1
165:9 170:8
201:13
rings
run
says
selecting
29:4 99:13,13
38:19
49:20 52:9 65:9 68:15
91:11
rise
runoff
70:12 73:2 75:2 80:20
sense
173:19
41:1
90:1991:8,9 117:16 127:13 11:9 16:6 32:23 112:11
risk runs
145:5 151:1 152:20 153:7 128:19 151:3,8 155:20
19:1221:18,19,21 22:7,9
142:8
156:23 159:12,13 176:13
191:6
22:16,20 23:18,18,20,23
s 178:10 186:13 190:6,10 sent
25:11,20 56:4,20,21,21
safe
scenario
151:10
57:5,23 58:3,6,21 59:7 61:19 66:14,18,19,20,22
30:23 safety
87:23 scheme
separate 123:13 124:14,19 153:9
67:1,6,7,9,12,17 68:6,12,14 68:16,20,23 69:4,9,11,19
23:7 71:20 73:2 74:2,17 76:22
116:18 117:8,10 172:17,18 164:8
173:1 175:23
September
70:1,13,15,20 71:5,7,8,9,12 72:4,5,5,8 73:15,17,20 74:7
sake 139:15
74:10,13,18,19,21 75:2,7 sample
schools 20:9
science
5:12 sequence
28:21
75:10 77:2,6,15,15,19,19 90:7 110:7 116:6 118:3,14
11:8 12:17,20 13:1,5,10,22 14:9 15:19,20 16:3 19:15
8:22 9:3,4 49:20 172:9 185:11
series 150:16
194:9,10 197:20 risks
34:20,21 35:1 138:2 sampled
sciences 196:23 197:8
serious 56:14
22:18 59:16,17 68:16 70:16 12:23 13:9 17:14,18 18:22 scientific
serum
70:17,18 72:1 74:4 77:7 116:1,9 road
20:2 137:10 138:1,4 141:7 samples
10:21,21 11:20 12:2 36:11
49:15 106:17 172:11 scientifically
74:10
50:4 52:10 55:8 69:10 83:19 171:13 184:23 200:13 201:1 202:5
33:4
36:12,13 46:19 47:2 131:7 scientists
serve
robert 1:1 2:1,1 4:11 5:4 208:12 209:12
robust
131:10,13,23 136:1 145:18 110:22 151:5,11,16 174:5,6 8:7
158:15,19 159:5 160:17 161:15,22 182:19,20
189:3,17 scrape
set 15:11 100:15 124:14
207:18
33:2
156:12 186:13 190:17
21:16 119:6 190:17 192:1 198:21 roden 2:1,1 4:4,19,22 5:1 135:1,5
sampling 11:12,14 13:7,8,11 15:19 16:14 18:14,17 19:3 20:13 22:4,14 92:11,17 93:1
scrubber's 38:5
seal 40:6
191:9 210:3 settlement
11:21 seven
role
120:10 132:17 136:18
sealed
28:15 88:10 102:14 103:2
205:16 206:12,13 roll
137:12,13,16 139:7,18
39:10
144:8,13 158:14,14 170:16 secluded
126:5 seventeen
126:16 rolled
206:23 samplings
133:19 second
161:6,11,19 seventies
137:6 rooting
133:18
148:15 sand
96:11,11
80:19 124:5 127:23 199:4 40:8 166:3
secondly
seventy
118:1
102:14 107:3 129:1 184:9
roots 95:1
satisfaction 144:15
seconds 207:12
sewer 32:14
rotate 100:7
save 175:6
sections 132:20
sewers 38:10
roughly
saw
sediments
shaky
18:15 19:4 rounds
119:19
129:2 saying
37:20 46:3 50:13 51:22
96:18 141:9 seeing
16:1 92:17 162:5 201:15
106:9 share
8:20
route
53:8,14,18 59:18 60:12
seen
sheet
41:21 routinely
189:5 201:7,10 203:5 rules
64:17 65:22 66:9 68:22 69:17 71:10 72:1 74:10 76:14,17,17 84:7 94:23 97:18 104:2 107:16 121:23
13:19 33:21 43:5,13,16,17 120:18
43:19 46:20 55:19 58:11,16 shelby
65:14 66:4,7 70:14 76:18
2:1
93:22 148:14,18,23 149:8 shifted
3:1 175:1
131:4 132:7,10 139:18
186:1,9 189:16 200:2
27:16
Kaley, Robert; Tolbert
HARTOLDMONO015345
[shiny - started]
shiny
single (cont.)
soil (cont.)
specific
164:5
195:10
207:18
63:2 84:14 87:5 123:22
short
sinks
soils
129:7 182:12,18 187:5,6
98:9 123:1 135:2 153:23
62:10
67:10
188:7 190:20,20
168:3 204:8
sir
solid
specifically
shorthand
78:15 208:8
29:12 32:20
11:1925:1426:3 82:7
1:1 2:1 209:7
sit
soluble
128:8 133:16 134:16 145:6
show
19:19 47:22 49:5 66:8
164:10,10
148:9 181:16 182:5 192:6
80:4 104:15 107:1,18,20,21 125:10 139:9,12
solutia
195:15
108:1 111:17,19 112:2
site
1:1 5:6,10,11 7:16,16 8:5 specifics
117:18 176:5 184:8 190:14 21:3,4 32:12 33:12 41:2
8:14 9:14,23 10:15 11:22
119:23 193:3
190:18
63:7 111:17,18 112:5 116:6 12:18 20:22 24:18 32:18 specify
showing
116:23 117:2 118:12 137:1 33:6,8 35:10,20 38:13 47:9 133:12
148:21
166:9,12,12,14,18 167:5
66:11,13 67:2 80:20 131:8 speculate
shown
170:2,16,17
134:6 136:18 142:18
80:22 94:1 131:3
101:18,20,21 103:21 126:8 sites
159:13,21 162:8 164:15 speculating
140:15 148:21
116:2 118:11 119:5 149:20 165:12 187:3 188:11 192:4 146:1
shows
149:23 171:16 194:12
193:10,14,15201:1 205:16 speculation
107:8 108:16 120:8,19
sits
207:2 209:18
97:2
121:17 148:15
142:4
solutia's
speculative
shut
sitting
79:15 131:12
84:12 96:7
39:12
27:4 99:15 105:7 139:7 somebody
spell
sick
158:21 168:13
69:12 121:11 155:14
9:16
71:3 72:9,11,18,23 75:23 situation
166:11
spend
90:5
13:6 38:17 75:19 208:3 somewhat
179:9
side
six
49:3 184:6
spent
105:10 142:8
14:6 48:6,10 50:11 53:7 sooner
43:18 167:14 179:10
sides
91:4,8,9 97:14 99:19
85:15
spill
181:22
102:14 127:4,11,12 154:6 sorry
147:23 167:7
sign
159:4 160:16 161:9
7:14 42:4 70:8 73:8 97:17 spilling
4:18,20
sixties
137:22 193:13
37:12
signature
166:4
sort
spin
3:1 sixty
31:18
100:1
significance
102:15 129:22 184:9
sorts
spinning
91:10 115:17,19 120:13 size
71:17 76:12 87:17 156:16 99:16
141:13
32:1 42:14 190:18
sound
St
significant
skin
104:1
5:17,18,21,23 6:3
41:1 95:19,21 112:17,19
24:23 58:17 59:1 171:17 source
stable
120:3 157:23 167:18
slight
50:23 54:12 124:22 160:6 28:8
170:13 49:1 south
staff
signing
slope
39:19 40:5 133:15
9:3
210:4
23:15
southern
stages
silvery
smaller
1:1 209:21
40:20
164:5
44:10
space
stand
similar
smith
99:15
34:9 41:23 113:5
5:12 87:23 111:5 194:20
2:1
spacially
stands
simple
snow
99:22
140:16
103:22
96:18,19 142:8
sparse
star
simplified
softball
41:13
164:22
84:6
140:18
speak
start
simply
soil
149:9 209:14
27:12 35:20 36:14 86:5
28:4
10:21 11:12,13,20 38:23,23 specialist
122:14 144:17,18
single
40:23 91:15 93:9 95:8
7:3
started
13:4 29:14 39:21 64:1
116:23 131:7,15 132:17 species
27:5 35:23 38:17 122:15
104:6,7 105:14,22 107:1
146:22 147:10,14 158:13
73:3
168:10,12 181:15
153:14 178:14 187:3
158:19 182:19 206:23
Kaley, Robert; Tolbert
HARTOLDMONO015346
[starting - tar]
starting
streamlined
subject
sure (cont.)
35:14 168:5 204:17
19:11 22:5
12:17 144:11
147:11 149:3 161:5 163:2
starts
streams
submit
174:15 176:19 190:23
74:14
143:22
203:8 206:17
197:11 199:14
state
street
subsequent
surprise
1:1 2:1 34:6 37:2 64:9
1:1 142:16
82:11
196:4
209:4,8 210:18
street's
substance
survey
statement
142:11,12
149:15
45:3
52:23 119:22 153:8 154:19 strength
substitute
Swedish
157:9 171:22 196:5
114:9,10 174:14 198:5
135:8
36:4
statements
strengths
substitution
swiquets
158:3
114:13
102:12
115:12,13
states
stress
successful
switch
1:1 9:10 44:9 209:20
123:19
163:20
170:19
statistical
stretching
sufficient
sworn
16:1,10
140:7
180:13 200:8
4:12 209:13
statistically
strike
suggest
synonymous
112:17,19 144:9,14
183:21
163:15 189:19
37:20,22 175:18
step
strong
suggested
system
17:3,9
190:18 195:23 198:8
201:14
32:14,16_________________
steps 40:14
Stewart's 159:7
sticks 131:1,4
stipulated 2:1 3:1
stipulation 1:1 209:11
stipulations 2:1 4:15
stone 78:2
stood 59:9
stop 166:23 203:19 204:11
stories 61:9 96:17
storm 37:15,17,19 38:6,9,18 41:10,11,1342:2
story 194:1
stove 33:2
straight 122:18
strategy 15:18,19
stream 36:22 37:17,19
streamline 21:18,21
strongly
suggestion
t
114:7
84:4 table
structure 102:8 126:18
suggestions 65:1
27:5 127:4,11,12,19 158:14 taken
structured 100:16
studied
suggestive 171:19,22 172:1,6,10,13 173:6,8,18 175:17 176:1,11
1:1 2:1 12:3,3,21 14:2 62:23 98:10 141:9 154:1 158:16,19 159:10207:16
59:14 89:10 studies
176:17,20 177:4 suggests
tales 96:9
7:8 23:1 24:14 25:8 26:1,2 124:7 129:11 131:8 201:19 talk
26:12 42:11 45:10 48:8 suing
49:16 52:22 53:3,14,16
187:2
59:19 61:23 62:10,15,19,23 sum
64:2,6,9 83:22,23 89:12,14 128:2
89:17 105:11 106:23
summary
31:16 33:21 50:4 82:4 84:1392:6 112:13 113:19 119:7,23 120:1 154:9,11 158:12,15 172:4 179:6 talked
107:17,19 108:1,15 111:4,5 152:20 182:6
56:11 65:2 66:12 82:14
111:14,21,23 112:1,23
superfund
113:1 116:8,21,22 158:8
149:17,20,23
171:4,9,11 173:13 174:13 superimposed
176:5,22 177:2 178:5 184:8 149:1 152:14 185:21
189:18 190:8,13,18 198:4 supplied
92:13 99:13 115:6 149:2 154:6 155:22,23 170:21 174:23 179:23 185:10 199:10 talking
198:15,19200:12 study
26:3 42:12,16 43:23 44:1 44:15,20,20 45:2,6,22,23 46:2,4,5 58:20 62:22 64:1
131:20 135:15 151:13 supply
110:14 support
6:23 7:12 8:11,15 9:2 82:10
18:2,3,9 31:18 34:16 44:18 44:19 61:5 73:16 76:4 80:8 84:19 91:3,21 95:13 99:3,5 99:7 103:4 117:14 122:12 122:14,15,21 123:7 124:11
65:3 104:21 105:1 107:8,8 196:13 198:5
125:1,4,5 126:12,20,21
111:17,18 153:16 171:18 suppose
173:15 190:13 191:18,19
107:12
127:2 128:7,10,11 131:6,22 133:13 146:2 154:12
199:4 stuff
66:3 73:17 96:19 106:4
sure 13:19 16:23 17:2,6,7 19:20 39:20 40:1,16 42:22 59:8
170:10 184:18 190:1,3 198:23 202:4 talks
164:5 182:17 subgroup
61:1262:1263:11 64:15 66:3 68:4 77:14 79:17
21:2 70:21 89:13 tar
123:10
107:10 112:13 121:13
33:4
139:6 140:13 144:19 146:9
Kaley, Robert; Tolbert
HARTOLDMONO015347
[target - told]
target
teqs (cont.)
things
thirty
12:8,9
115:18 119:8 120:17,20
7:10 11:1020:8 35:1 38:6 7:1443:10 103:12 155:17
tasked
125:16,19 126:21,22,23
45:9 59:11 61:10 63:22
198:19
149:18
127:14 128:3,11 129:6,6,21 71:12,18 80:4,7 85:14,15 thought
tcdd
term
85:16 86:8,17 99:17 100:17 19:19 67:14 129:2 169:23
100:14 107:1 108:22 114:6 21:17 56:14 67:21 98:22,23 104:4,11 106:1,8 118:9,10 183:14 185:3
114:6,8 122:21 125:21
172:12 174:21
122:12,17 140:12 145:10 thousand
126:7 194:6,21 195:12,20 terminate
149:16,18 152:8,16,17
34:22 75:3,6,10,12 87:9
technical
144:12 145:14
153:13 166:20 167:9,10,11 thousands
6:23 7:12
terminated
170:23 179:11,13 185:20
42:16,18 58:13
techniques
145:18
185:23 191:8 206:18 207:3 thousandth
36:9 terms
think
130:2,4
technology
21:3,4 38:1 66:16 67:2 74:1 6:22 7:1 11:5 14:4 17:17 threats
9:4 35:4
103:22 136:18 137:21
23:20 24:6,7,10,11 25:23
119:7
teeny
139:4 149:14 157:19
30:22 33:9 34:4,6,9 35:14 three
109:3,12 112:16 123:9
171:23
35:17 36:1,20,21 37:6 38:2 13:9 14:5 30:10,13 35:6
tef test
39:3,8 41:12 42:6,7 43:1
46:21 48:6,10 50:11 53:3,7
126:14
116:22 145:7,9 147:16
44:2 45:1 46:6,18 48:5,15 53:21 54:15,22 58:2,12,15
tefs tested 48:22,23 49:12,17,20 52:16 97:14 118:2 122:17 123:6
126:10
16:20 109:4 134:11,16
52:18,19 53:2,10,17 56:10 129:19 144:20 145:2,8
tell
135:20,21 140:5 141:11
57:17,19,23 59:5,11,15,15 151:5,16 154:14,15 156:2,3
8:3 12:6 13:18 20:18 21:8 144:4 146:18,21 200:14
60:23 61:3,5 62:8 64:17,22 157:21 184:19
56:9 63:20 98:17 131:16 testified
64:23 65:20 66:11 67:16,19 throat
135:13 149:12 159:18
4:13 202:9,14,18
67:20,21 77:21 80:9 82:1
199:22
162:7
testimony
82:17 83:2,6,22 88:8 89:4,9 throw
telling
42:8 44:1 65:15 132:16
89:12,13,15,20 90:22 92:3 186:13
11:6 52:15
134:4 202:11,22
92:8,19,20 94:19,20,23 thyroid
tells
testing
95:20 97:4,13 103:21
153:1
191:20
23:3 105:3 146:8 147:11
106:12 107:19 113:9 117:7 time
temperature
159:14201:17207:1
117:9,18 119:23 120:5
3:1,1 6:6 29:2 34:7,14 39:6
27:12
tetrachlorodibenzodioxin
125:11 126:6 127:3 128:15 40:21 41:8,1943:1881:7
tempted
195:11
128:23 129:4 130:23 131:6 88:23 90:12 91:7,8 98:10
132:3,6
thank
132:22,23 133:3,5 134:3,17 100:23 120:10 121:5 134:1
ten
73:13 195:2 208:8,9
134:19 136:10,23,23 137:4 135:4 154:1 158:21 162:4
12:8,13,16 13:14 14:17 theoretic
138:11,16 141:4,16 145:4 162:23 163:11 168:3,8
21:9 29:4,9 72:12,12,13
68:12
145:18 147:18,19,21 150:3 187:16202:17203:1
73:3,4,5 75:3,6,10,11,13 theoretical
150:19,23 153:12,15,17
205:18 207:16 208:5
82:3,8 83:10 85:10 95:14
22:16 23:17,23 56:20 70:13 154:2,5,21,23 155:6,8,13 times
115:3 126:6 130:2,3 136:1 72:3 74:19,20 105:17
156:18 157:5,8 158:2,8,13 184:19
137:10 138:10,13,22 139:3 106:14 114:11 118:14,18
164:20,23 166:10 167:16 tired
147:18,19,20,22 155:16 theoretically
168:11 169:10,18,20 170:7 190:23
161:4,10,14,22 184:2,4
114:22
170:12,22 171:7 174:20 tissue
tended
theory
176:21 177:13,17 178:2,10 171:14
29:1
101:6,7 109:11
179:2,14 181:1,2 182:13 tissues
tends
thereof
183:1,4,20 185:1,10 186:17 185:14,14
51:18 55:3
210:10
186:19 190:8,9 191:19
titles
tens
therm
193:20 195:1 197:10,23
6:19
53:23
184:23
199:1,3,9 200:1 202:3
today
tenth
thermal
207:7 208:7
10:7 47:22 49:5 83:6 90:23
114:10
123:19
thinking
125:10 154:16 155:14,16
teq thing
177:17
168:14 170:22 197:18
115:15,20,21 116:23 119:1 32:21 33:22 50:9 60:2 77:3 third
tolbert
120:3,19 121:2 125:9 127:1 83:13 84:23 86:15 96:23
128:2,4 150:19
1:1,1 43:20 181:18,19
130:1,4
117:17 154:3 155:1 185:18 thirteen
182:2 183:3 209:16
teqs
190:22
13:16 138:15,17
told
113:20,21 114:12,20
61:3 138:2 204:9
Kaley, Robert; Tolbert
HARTOLDMONO015348
[tom - view]
tom
tried
typical
unreasonable
6:10
24:15 83:9 87:1 125:13
81:2 151:7
110:12
tons
trigger
typically
unreasonably
52:20,21
83:4 100:14 101:9
45:11 121:19 173:6
110:11
top trillion
u upper
147:9 161:4,14,22
47:4 95:16
u.s.
142:10
tord
trouble
67:4 75:5 81:2
urine
11:18 total
74:6 truck
uncertain 72:20 73:18 90:23
85:8 use
50:13 118:8,9 120:12
96:14
uncertainties
7:15 21:17 51:23 66:1 90:2
127:13,23 129:19 155:22 true
34:17 74:17 84:10 156:1,17 96:15 97:16,18 98:23 99:2
155:23 183:5,18,18,23 totally
101:15 102:8,17 103:4,10
20:14 23:18 43:2 55:16,17 67:16 69:8 95:11 139:23 209:23
uncertainty 34:8 35:8 71:21 72:16 73:3 73:5
106:13 156:3 162:11 170:8 174:21 207:5 useful
118:20
truly
unclear
204:13,19
tox
94:14 115:9,10
91:12
usual
50:1,2 52:9 81:5,8,22 83:12 truth
uncoincidentally
4:15
83:18 149:2,12,15 150:20 209:14,14,15
toxic
try
173:13 uncommon
usually 96:20 151:8 152:17
170:20
11:8 16:11 18:1 59:490:11 77:19
V
toxicity
91:23 92:23 106:14 118:18 underneath
value
114:12,14,19,21,23 115:20 trying
147:12
132:11
116:8,20 126:2 127:13
33:2 35:21 47:8 48:23
understand
values
150:12 152:7 153:4
51:22 104:10 105:18
12:7 13:20 28:10,13 64:8
48:9
toxicological
108:21 109:22 118:22
77:17 98:16 99:7 103:23 vaporized
101:20 116:13,15 117:15
180:3 196:9
106:7 115:3 124:10 132:9 61:17
150:14 194:4
ts
161:5 166:2 172:5 180:7 variation
toxicologists 64:8
114:20,22 tube
190:12 understanding
51:9 186:4,7 variations
trace
116:22
18:11,13 19:2 25:9,13 30:6 185:21
38:18 39:2,13 121:8
tumors
32:10 35:18 42:13 58:10 varied
tract
107:9
61:22 96:10 131:12 132:11 15:9
171:17 transcription
tweaked 169:20 175:15
132:15 133:17 134:3,5 143:5 146:16,20
varies 142:23
210:1
twelve
understands
variety
transcripts
13:16 123:9 138:15,17
21:1
7:9 8:17 31:8 45:9 150:14
8:3
204:6
unduly
various
transfer 10:10
twenties 53:23 138:12
77:19 unexposed
7:7 10:21,22 24:14 40:20 62:10 66:22 89:8 148:15
transferring
twenty
48:8
158:16 189:16 190:7,7
27:20
13:13,13 48:17,21 49:6
unfortunately
191:8
transient
50:14,15 51:3 52:1,2 54:3
51:14
vat
25:6,10 56:16 197:16
55:21 57:4,20 58:12,14
unique
26:23 27:11,22 28:2 31:18
transport
63:22 102:14 138:11,16
54:12 86:20 124:7 129:12 31:21 32:5
95:17,18
154:14,15 155:16 156:2,4
130:7
vats
trash
156:10 186:5 198:19
united
32:1
130:22
twice
1:1 9:10 44:9 209:20
version
traveling 95:9
154:17 twisting
unitless 126:3
79:22 80:17,18 82:15 versus
tree
99:16
universally
209:17
94:3,8,10,19
type
150:4
vertical
trees
33:22 148:14 208:2
unknown
142:9
93:19 94:7 trial
types 12:2
31:15 unquote
vessel 32:2,9
202:8,10
typewritten
46:12 81:2
view
209:23
22:20 23:12,17 53:13 56:13
Kaley, Robert; Tolbert
HARTOLDMONO015349
[view - zones]
view (cont.)
weakest
worker's
79:18 90:18 177:15 192:8 129:15
171:5
196:8
weakly
working
viewpoint
104:3
7:18 18:20 20:19 60:19
11:1 wear
61:17 93:16 97:6 105:19
virtue
61:4,16
works
93:10
weekly
7:15 200:23
viscous
205:19
world
32:20
weight
179:3
voiced
65:9 174:9
write
154:21
welcome
78:11,21 203:22 204:5
volatile
208:9
writing
27:19
went
78:10
volume
41:11 42:6 132:12 161:11 written
1:1 30:8 208:13
west
43:1 64:19 149:10 173:12
vs
39:21 40:2 142:15
wrong
1:1_____________________ we've
120:4 132:5,8 133:5 138:6
w 92:5 96:16 105:10 107:19 141:17 155:7 185:5,6 199:5
wait
117:14 122:21 123:6
201:15
203:19 waived
3:1,1 210:5
138:15,16 145:18 154:6 wrote
155:22 160:10 170:21
78:7,12 81:8 91:3_________
179:8 194:7 195:12 207:22
y
want 4:17 28:16 59:23 71:16
whack 130:14
y'all 13:20 15:2 96:4 134:19
93:23 95:6 96:8 102:10,11 102:11 104:1 127:7 158:17 162:15 190:1 193:3 204:6
whatsoever 89:6 119:2
white
203:5 yard
96:20
wanted 143:6
wants
1:1 29:12 wide
143:21 150:14 186:4
yards 140:23 141:11 143:18 144:16 165:22
4:19 washable
32:19 washed
32:13
widely 191:4
withouts 128:10
witness
yeah 7:9 38:19 52:16 65:6,17 66:9 71:15 82:1 85:11 90:15
year
washing
3:1,1 210:2,5
5:9 127:14 202:15 204:6
37:13 waste
34:10 36:12,22 37:5,17,19 37:23 38:1 133:11,20 179:11,12
word 66:1 110:18 125:23 202:19
words 6:7 48:19 63:9 197:11 200:4
years 7:14 8:4 36:7 52:12,18 53:15 54:17,22 55:6,8 57:16,20 88:9,10 116:14 148:2 154:17 155:11,16,16
water 36:13 37:3,15,18,18,19 38:3,6,7 41:10,11,14,16 42:2 97:19 164:10
waters 34:11 38:7,8,9,19,19 52:14 164:2
waterways 165:23
ways 26:18 36:21 62:5 165:19
weak 112:3 195:23
weaker
wore 61:13
work 6:18,19 7:19,22 40:18 47:2 60:5 61:2 78:17 141:7 156:7 185:18 204:22 205:13
worked 6:27:1260:13 118:14
worker 120:16 121:4,5
workers 58:14,18 61:1 87:8,9 88:6 88:12 113:1 200:1 201:11
155:17 156:2,3,4,11 177:13 youngest
120:9____________________
z
zero 23:19 60:9 75:14
zone 141:13 144:13,18 145:8,19 146:7
zones 4:6 140:5 141:19 142:1 144:4 145:15 146:17 148:7 148:22 149:1
103:7
201:19,22,22,23
Kaley, Robert; Tolbert
HARTOLDMONO015350