All right. Thank you, ladies and gentlemen. Please be seated. All right. Dr. Speed, would you resume the witness stabbed, please. All right. The record should reflect that we have been rejoined by all the members of our jury panel. Dr. Terence Speed is again on the witness stand undergoing cross-examination by Mr. Harmon. And Mr. Harmon, you may proceed.
Thank you, your Honor. Your Honor, may we mark the two pages of Professor Weir's testimony that I had shown to Professor Speed?
Professor Speed, I want to come back to where we left off and I have blocked out a couple of the pertinent passages that you referred to yesterday. You had a chance to read that before the break?
Now, isn't it true that Professor Weir, at the conclusion of the series of questions and answers, his final statement on the subject of laboratory error rate, with respect--with regard to the frequency estimates that he presented was: "I reject the notion that it," the laboratory error rate, "Should be incorporated"?
And you understand from having read Professor Weir's testimony, that the only statistics that he presented in his testimony were the population frequency estimates for the biological matches in this case?
Is that true? And you don't take issue with Professor Weir's statement that he rejects the notion that laboratory error rate and the population frequencies should be incorporated, do you?
Sure. Professor Weir, in the end of that series of questions and answers stated, did he not: "I reject the notion that it should be incorporated"?
And from having read his testimony you know that he--that he was referring to the "It" was the laboratory error rate?
Okay. And the--what it should be incorporated or should not be incorporated with was the population frequency estimates, which is the only estimate that he presented? That is what you understood that answer to mean, did you not?
Yesterday one of the slides that we saw was a quote from the national research council on page 88. Do you recall?
And that quote was: "Coincidental identity and laboratory error are different phenomena so the two cannot and should not be combined in a single estimate; however, both should be considered." Do you recall that being up on the screen?
And you agree with Professor Weir's statement that it should be incorporated, the laboratory error rate should be incorporated with the population frequency estimate; isn't that true?
And the reality is Professor Weir didn't agree that you could quantify laboratory error rate. That is what he discussed in that segment, didn't he?
May I read the sentence that we are talking about? He says: "You are asking me in essence to quantify something I don't think exists, so I reject the notion of an error rate."
Well, I'm sorry, he rejects the notion it should be incorporated, but the "It" that we are talking about he has just previously said doesn't exist. That is what I thought--that is the quote that I was agreeing to yesterday. Incorporation of something that doesn't exist seems a moot point. He is stating very clearly here, as far as I read it, you are asking me in essence to quantify something I don't think exists. The "Something" in question there is error rates, so "I reject the notion of error rate." I don't see how that contradicts what I was saying yesterday. I didn't go on to comment on the quote that he rejects the notion that the "It" that he has just said doesn't exist should be incorporated, but I think he said very clearly that he doesn't think error rate exists. That is my reading of this document.
And he did not acknowledge that it is possible to make errors in DNA testing? Is that your testimony?
That is the curious thing. He acknowledges that errors are possible, but here, as we have just read, he rejects the notion of an error rate. He says it doesn't exist so it can't be quantified. To me that is a very paradoxical point of view.
Well, you haven't made any attempts to quantify it yourself independent of his statement, have you?
Now, yesterday at the very close of your direct examination Mr. Neufeld posed to you the dilemma when one has a coincidental match where the estimate is one in billions. Do you recall that at the very close of your testimony yesterday?
Well, I think--I know roughly what you are talking about, but I don't think you have stated it very precisely.
Okay. Well, I will do my best. And that furthermore, that there could be a match by mistake. Do you recall that phrase that you used, "A match by mistake"?
And the numbers that you refer to were 1 in 50 to 1 in 200. Do you recall that series of questions?
And that is the very point that the NRC addresses on page 88, the quote that I just read to you about not combining laboratory error rate and chance of a match. Do you recall that?
I really--I really don't know the answer to that, but I would say in the range 50 to a hundred, but I'm just guessing, so perhaps I shouldn't even bother.
Let me give you a definition so that we can go a little bit further with this question. Let's define a sample as any biological sample which undergoes the DNA testing process, okay?
Let's assume just for a hypothetical, since I don't want you to guess about how many, that there have been two run samples analyzed in this case, according to the definition I just gave you. Okay?
If those numbers that you threw out yesterday, 1 in 50 to 1 in 200 were real laboratory case work, laboratory error rate--are you with me so far?
--what that means is that the chances--or that if those estimates are correct that 196 to 199 of the results that were--that might have been presented, if 200 samples were tested, were in fact the correct answers, doesn't it? Isn't that what it means?
Well, error rate is a rather vague term. To address the issue you are talking about one has to split it up into false positives and false negatives and I think in terms of the sample you are referring to, not just the number of samples, but during the testing process the number of opportunities for making a false positive, the number of opportunities for making a false negative, and then assess the expected number of each of those kinds. That would be assuming you had an estimate of the rate. I don't think it is enough just to count samples.
I mention those as the sort of numbers one sees coming from blind external proficiency tests in related areas, for example, the bone marrow program where they do conduct these sort of tests and they get results of that order.
Okay. So one correct way to interpret the numbers that you threw out yesterday, 1 in 50 to 1 in 200, if 200 samples were tested, as I have defined samples, would be that 196 to 199 of them were the correct answers; isn't that true?
Well, in my last answer I think I just said I think it is actually important in this context to split--
Yesterday you said that at the end of that series of questions that of the two, the coincidental match of one in billions and the match by mistake of 1 in 50 to 1 in 200 you said matched, the match by mistake plays a more important role. Do you recall giving that answer at the very end of your direct examination?
And when you said that that plays a more important role, weren't you violating the very caution that the NRC prescribed in 1992 when they said: "Coincidental identity and laboratory error are different phenomena so the two cannot and should not be combined in a single estimate; however, both should be considered"? Weren't you violating that?
I don't see how. I was making a statement about the relative magnitude of the components. I wasn't combining them and I was considering both.
Professor Speed, you have not criticized any of the frequency estimates which have been presented to this jury in this case, have you?
Professor Speed, have you criticized any of the frequency estimates which have been presented in this case?
Professor Speed, you do not mean by any of your discussions about laboratory error and the match by mistake plays a more important role, that if the jury decides that there was not a mistake made in any of the testing in this case that the population frequencies are incorrect?
I haven't previously said that, but if you asked me do I believe the population frequencies, the answer is no.
KEY QUOTEYou have not criticized in your direct examination any of the population frequency estimates in this case, have you?
You have simply alerted the jury to consider the possibility of certain errors which may have occurred in this case; isn't that true?
I think the answer simply is inappropriate there. I spoke on one aspect. I have not approved or disapproved. At least I did not approve or disapprove of the frequencies in my direct examination. I didn't address them, so--
Some of the possible errors that might have occurred in this case you listed as the chance of a sample mix-up?
Do you remember that? You just generalize with errors in DNA testing. Do you recall that?
And then you describe generally errors in all stages of handling. Do you recall that?
Now, you have relied on the evaluation and testimony of Dr. Gerdes in recognizing the possibility of sample handling cross-contamination in your case, haven't you?
Not solely, no. I also relied on that flow chart that we had up there which I believe is a Prosecution flow chart which shows the possibilities of errors before the samples are split and sent to the separate labs. And I am just relying on my general experience that nobody can say with certainty no errors occurred in that initial phase.
You have not made any attempt to quantify the likelihood that any of those errors actually occurred in this case, have you?
That is not my role. That is the role of external blind proficiency tests. I'm simply pointing out their possibility. And in fact I was saying there should be tests to quantify these error rates.
Professor Speed, I want to ask you, you yourself, are you saying you are not capable of quantifying the likelihood of errors having occurred in a case such as this, a complex case such as this?
I am not able to on the basis of my knowledge at the moment in this specific context. I have said how I think they should. It is not possible to look at a single case and come up with error rates. They require--sorry to keep saying this--external blind proficiency tests.
And the weak part is your knowledge at the moment in deciding how to approach this problem, isn't it?
In fact, nothing you have said constitutes statistical evidence that any of those possible errors actually occurred; isn't that true?
KEY QUOTEIf the jury decides that none of these possible errors actually occurred, then the only statistical information which they have to evaluate the match evidence in this case is the frequency estimates produced by Dr. Weir; isn't that true?
Professor Speed, would you be willing to allow the jury to decide whether any of these possible errors actually occurred?
Professor Speed, since you have not provided any statistical information about the possibility that any of these errors occurred, what information is left to this jury to decide the significance of the biological matches that have been presented in this case?
What I have spoken to is the way in which errors can be assessed with correct testing.
Professor Speed, since you have not provided any statistical information about the possibility that any of these errors occurred, what information is left to this jury to decide the significance of the biological matches that have been presented in this case?
I thought I was starting to answer that, but I was speaking generally to the possibilities. I mentioned some figures that I know of in my experience as a statistician and in reading literature on error rates in similar biological context. I believe that is information that I've provided the jury. I don't understand why--
Well, is that left for the jury to decide since you have not presented any statistical evidence of cross-contamination or any of these errors?
Do you mean by the generalizations that you have presented to this jury that the jury should not be free to consider the population frequency estimates that were presented by Dr. Weir?
I'm not telling the jury what they should or should not consider. I was not speaking about population genetics frequencies and I have made no statement to date, except a very brief one earlier in this cross-examination, about those issues.
Counsel, rephrase that. The jury gets to decide all issues of fact in this case. They understand that.
Since you have presented no statistical evidence that demonstrates the likelihood that any errors which might have occurred actually occurred, the only estimates, statistical estimate which they have to evaluate the significance of the match evidence in this case is Professor Weir's population frequency estimate; isn't that true?
I don't believe that is a correct description of my testimony. I believe, without actually giving numbers and saying these are error rates on the basis of certain sorts of tests, I have still given them statistical information.
I have not given them numbers, but I believe my testimony has been informative.
KEY QUOTEHe acknowledges that errors are possible, but here, as we have just read, he rejects the notion of an error rate. He says it doesn't exist so it can't be quantified. To me that is a very paradoxical point of view.
In fact, nothing you have said constitutes statistical evidence that any of those possible errors actually occurred; isn't that true? That is true.
I have not given them numbers, but I believe my testimony has been informative.
I haven't previously said that, but if you asked me do I believe the population frequencies, the answer is no.