Showing posts with label anthropology. Show all posts
Showing posts with label anthropology. Show all posts

Saturday, January 15, 2022

Bones of Contention: A Standard for Analyzing Skeletal Trauma in Forensic Anthropology

The Academy Standards Board (ASB) of the American Association of Forensic Sciences (AAFS) posted the second proposed draft of a "Standard for Analyzing Skeletal Trauma in Forensic Anthropology" for public comment. The standard does not go far toward standardizing procedures or showing that the procedures to which it applies have been scientifically tested. Of course, it could well be that ample, well designed studies have demonstrated that forensic anthropologists can consistently and accurately classify skeletal defects in human remains according to the categories the standard mentions. But the standard contains no bibliography and no citations to show that this is the case. 

It contains some negative injunctions and a few positive suggestions about reporting -- for example:

  • Forensic anthropologists shall not determine cause or manner of death.
  • Practitioners shall not estimate the temperature or duration of heat exposure based on thermal defects to bone.
  • Practitioners may report the minimum number of traumatic events (e.g., blunt impacts, projectile entry defects, or sharp defects) observed skeletally, but shall not report a definitive maximum number of impacts, as skeletal trauma evidence may not reflect all impacts to the body.
  • When a suspect tool is submitted for analysis, similarities between the tool and defect may be reported; conclusions shall be reported in terms of an exclusion or failure to exclude.

As such, ASB 147-21 is not without any redeeming legal value. Nevertheless, it does not articulate any analytical process by which the classifications it calls for should be made (cf. "vacuous standards"); it requires no reporting of the uncertainty in this process; it does not contemplate the possibility of evidence-based rather than conclusion-based statements of the implications of the data; and it refers to an all-inclusive list of methods as "acceptable." If I may elaborate:

File:Human skeleton remains.jpg - Wikimedia Commons

Is "Interpretation" Limited to an Opinion on the Inference (Conclusion) from the Data?

The revision defines "trauma interpretation" as "Opinion regarding the mechanism of, timing, direction of impact(s) or minimum number of impacts associated with skeletal defect(s) based on quantitative and/or qualitative observations." The phrase "based on ... observations" indicates that the opinion expresses a belief in the truth, falsity, or probability of an inference being drawn from the data. Interpretation should include the possibility of describing the strength of the evidence in favor of the inference rather than opining on the truth, falsity, or probability of the conclusion itself. In addition, if the opinion-statement is an assertion that the hypothesis about what happened is true or false (either categorically or to some probability), it is not just based on the data but on a prior probability for the hypothesis as well.

Despite these definitions, the standard sanctions "interpretation" in the form of rudimentary statements about the extent to which the data prove the hypothesis in question. Section 6 notes that "Trauma interpretation shall be clearly identified in the report using terms such as ‘indicative of’ and ‘consistent with’ or by using a subheading titled ‘Interpretation.’"These phrases have their problems, but they are one manner of referring to the probability of the evidence given the truth of certain probabilities rather than vice versa.

Is Interpretation Based on Non-scientific Evidence and Inference?

The revision introduces the following (non)criteria for deciding that blasts or explosions caused skeletal trauma: "Blasts/explosive events often cause blunt (including concussive) and projectile trauma to the body. When the trauma pattern and circumstantial information support a blast event, the trauma mechanism should be classified as 'blast trauma'”. The undefined notion of "support" is too vague to give any guidance. Is "consistent with" considered "support"? Let's hope not -- patterns can be "consistent with" one hypotheses (it could occur when the hypothesis is true) but much more probable under the opposite hypothesis.

And then there is the green light this recommendation gives to presenting a conclusion based on nonscientific "circumstantial evidence" as if it were based on expertise involving the skeletal evidence. Knowing that a blast occurred can drive the conclusion that the damage to the skeleton is "blast trauma." Should there also be a report on the skeletal evidence from an analyst blinded to the other information uncovered in the investigation?

Is Everything Acceptable?

ASB 147-21 states that "Skeletal trauma shall be examined. Acceptable methods to examine trauma include gross, microscopic, radiographic, and other analytical methods." This formulation deems every conceivable analytical method as "acceptable" no matter how poorly conceived it may be. Labeling everything as "acceptable" is troublesome in a standard that does not include criteria and procedures for performing the analysis and that does not lead the reader to any evidence of the reliability and validity of the undefined "analytical procedures."

Of course, forensic anthropologists know that some procedures do not work well, and only an outlier would use them. The drafters of ASB 147-21 undoubtedly appreciate the need for suitable methods (and hence prohibit certain conclusions that cannot be drawn with any existing method). Well motivated and informed forensic anthropologists will not be led astray if they consult the standard. But outliers do appear in court. Remember Louise Robbins. Unless the dubious method yields one of the explicitly prohibited statements in this standard, the outlier witnesses could maintain that they have proceeded exactly as the standard requires. Standards with this potential for abuse should be reformed.They should strive to standardize the methods they govern, and they should state what is known about the accuracy and reliability of these methods.

Friday, March 16, 2018

Likelihood Ratios for Amelia Earhart

Early in the morning of July 2, 1937, Amelia Earhart took off in her twin-engine Lockheed 10E Electra from Papua New Guinea. She was in the midst of a sensational attempt to circle the globe. Her immediate destination was Howland Island. She planned to refuel at this tiny mound. She never made it. The wreckage of her plane and the remains of either Earhart or the navigator who accompanied her have never been located. Or have they?

Earhart probably ran out of fuel while searching for Howland Island. But where? Nikumaroro Island lies some 350 nautical miles south of Howland. Bones found on this uninhabited coral ring in 1939 and sent to Fiji for examination (and now lost) were measured in 1941 by a physician who concluded that they probably belonged to a 45- to 55-year-old male who was around five-and-a-half feet tall.

However, an early release of an article by University of Tennessee anthropologist Richard Jantz, in the University of Florida's new journal, Forensic Anthropology, rejects this conclusion. Arguing that that the skeletal features for sex determination at the time were only weakly probative, Professor Jantz maintains that in 1941, the examiner “could easily have been presented with morphology that he considered male, even though it may have been female.” 1/

As to the lengths of the bones, Dr. Jantz compares estimates for Earhart (inferred from photographs and clothing) with the reported lengths of the Nikumaroro bones using a statistic known as the Mahalanobis distance. By this distance measure for multivariate data, Earhart is more similar to the Nikumaroro bones than 99% of individuals in a sample of bones from 2,776 other people. The sample is not clearly described in the article, but it is well known to forensic anthropologists, and “Jantz told Fox News that 2,776 individuals used in the reference group were all Americans of European ancestry [who] lived during the last half of the 19th century and most of the 20th century ... .” 2/

With respect to this sample, Jantz wrote that:
Earhart’s rank is 19, meaning that 2,758 (99.28%) individuals have a greater distance from the Nikumaroro bones than Earhart, but only 18 (0.65%) have a smaller distance. The rank is subject to sampling variation, so I conducted 1,000 bootstraps of the 2,776 distances, omitting Earhart, then replacing her to determine her rank. Her rank ranged from 9 to 34, the 95% confidence intervals ranging from 12 to 29. If we take the maximum rank resulting from 1,000 bootstraps, 98.77% of the distances are greater and only 1.19% are smaller. If these numbers are converted to likelihood ratios as described by Gardner and Greiner (2006), one obtains 154 using her rank as 19, or 84 using the maximum bootstrap rank of 34. The likelihood ratios mean that the Nikumaroro bones are at least 84 times more likely to belong to Amelia Earhart than to a random individual who ended up on the island.
Let's not get bogged down in the details of the distance measure, bootstrapping, and the conversion to a likelihood ratio. 3/ There is a broader point to note. A likelihood ratio of at least 84 hardly means that “the Nikumaroro bones are at least 84 times more likely to belong to Amelia Earhart than to a random individual” — or even to a random Caucasian-American of the relevant time period. Likelihoods are measures of statistical support for a claim like the one that the particular bones are those of Amelia Earhart. The ratio indicates how much the bone-length data support the Earhart source hypothesis as contrasted to the support those data provide for random-Caucasian-American source hypothesis.

Relative support contributes to the odds in favor of a hypothesis, but it does not express those odds directly. Suppose I pick a coin at random from a box that contains one trick coin (it has heads on both sides) and 128 fair coins. I flip the coin seven times and observe seven heads. The likelihood ratio for the hypotheses of the trick coin as opposed to a fair coin is the probability of the data (seven out of seven heads) for the trick coin divided by the probability for a fair coin. The value of ratio therefore is 1 / (1/2)7 = 1 / (1/128) = 128. But the odds that it is a trick coin are nowhere near 128 to 1. They are 1 to 1. Because it is no more probable that the coin is a trick coin than a fair one, I cannot even say that the preponderance of the statistical evidence favors the trick-coin hypothesis. See Box 1.
Box 1. The Odds on the Trick Coin

Consider what would happen if we repeated the coin picking and tossing experiment 129 times (replacing the picked coin each time). We expect to pick the trick coin from the box only once and hence to see seven heads for that reason one time in 129. We expect to pick fair coins the other 128 times. We also expect that one of the 128 seven-flip tests of these fair coins will produce seven heads. Observing seven heads does not prove that the coin is more likely to be a trick coin than a fair one. We should post the same odds on each hypothesis about the coin. (This heuristic argument easily could be replaced with a more rigorous proof using Bayes' rule.)


Unfortunately, the statement that “the Nikumaroro bones are at least 84 times more likely to belong to Amelia Earhart than to a random individual” sounds like an assertion that the odds on Earhart as opposed to “a random individual” are at least 84 to 1. Mathematically, if there were no other possibilities to consider, these posterior odds would mean that the probability that the bones are Earhart’s is at least 84/(84+1) = 0.988, or just about 99%. If the probability that the bones are from a member of some other ancestral group (such as Micronesians) is, say, 1/10, then the probability for Earhart would decline to 0.889 (about 89%). See Box 2.
Box 2. Going from the Odds of Two Non-exhaustive Hypotheses to a Probability

Let E denote the event that the bones are Earhart’s, let R be the event that they are “a random individual” (among all Caucasian Americans of the time) and let X be the event that they come from someone else. Also, let p, r, and x be the probabilities of each of these events, respectively. Then 84 = p/r, and p+r+x = 1. Substituting and rearranging terms, tt follows that p = 84(1–x) / 85. If x = 0, the probability of E is p = 84/85 = 0.988. If x = 1/10, p = (9/10)×(84/85) = 0.889. 4/
Journalists have picked up on the 99% figure — in some strange ways. The BBC announced that the Forensic Anthropology article “claims they have a 99% match, contradicting an earlier conclusion.” 5/ But being in the upper percentile on a list of distances is not the same as being 99% similar. Fox News crowed  that “Amelia Earhart Disappearance '99 Percent' Solved,” 6/ whatever that may mean.

Other than seeming to conflate the likelihood ratio of 84 with the odds in favor of Earhart, the article does not contend that the probability that the bones are Earhart's is at least 99%. Hewing to the proper interpretation of likelihood as a measure of support for a hypothesis, Professor Jantz wrote that his “analysis ... strongly supports the conclusion that the Nikumaroro bones belonged to Amelia Earhart.” He did go on to mention Bayes' rule and to illustrate what the posterior probability of this hypothesis might be, but following the recommended forensic practice, he did not settle on a specific prior probability. 7/ That probability turns on the non-anthropological information in the case — things like the fact that the Coast Guard cutter off of Howard Island received radio transmissions from Earhart (suggesting that she was not near Nikumaroro Island). Nevertheless, the article seems to propose that the bone lengths in and of themselves prove that the remains probably are Earhart's. It states that:
If [the] sex estimate, can be set aside, it becomes possible to focus attention on the central question of whether the Nikumaroro bones may have been the remains of Amelia Earhart. There is no credible evidence that would support excluding them. On the contrary, there are good reasons for including them. The bones are consistent with Earhart in all respects we know or can reasonably infer. Her height is entirely consistent with the bones. The skull measurements are at least suggestive of female. But most convincing is the similarity of the bone lengths to the reconstructed lengths of Earhart’s bones. Likelihood ratios of 84–154 would not qualify as a positive identification by the criteria of modern forensic practice, where likelihood ratios are often millions or more. They do qualify as what is often called the preponderance of the evidence, that is, it is more likely than not the Nikumaroro bones were (or are, if they still exist) those of Amelia Earhart. If the bones do not belong to Amelia Earhart, then they are from someone very similar to her. And, as we have seen, a random individual has a very low probability of possessing that degree of similarity.
Contrary to the highlighted text, likelihood ratios of 84–154 do not necessarily mean that evidence satisfies the preponderance-of-the-evidence or more-probable-than-not standard of most civil litigation. The legal standard applies to a posterior probability, not to a likelihood ratio standing alone. 8/ Even a large likelihood ratio may not suffice to overcome a small prior probability. (That is what happened in the coin-flipping example of Box 1.) Conversely, even a small likelihood ratio may be enough to boost a prior probability into the more-probable-than-not range.

Professor Jantz recognizes that no one can resolve the historical mystery on the basis of his statistical analysis alone. He writes:
Ideally in forensic practice a posterior probability that remains belong to a victim can be obtained. Likelihood ratios can be converted to posterior odds by multiplying by the prior odds. For example, if we think the prior odds of Amelia Earhart having been on Nikumaroro Island are 10:1, then the likelihood ratios given above become 840–1,540, and the posterior probability is 0.999 in both cases. The prior odds or prior probability pertain to information available before skeletal evidence is considered. It is often impossible to assign specific numbers to the prior probability, because it depends on how the non-osteological evidence is evaluated, and different people will usually evaluate it differently. In jury trials, experts are often advised to testify only to the likelihood ratio developed from the biological evidence. The jury then supplies its own prior odds based on the entire context (e.g., Steadman et al. 2006).
Judging the entire historical record, Jantz adopts a high prior probability (perhaps higher than the 10:1 figure for the prior odds quoted above) to conclude that “[u]ntil definitive evidence is presented that the remains are not those of Amelia Earhart, the most convincing argument is that they are hers.” In other words, the product of the moderately large likelihood ratio and the prior odds (already sufficient to establish a preponderance) is so large that only definitive evidence for an alternative hypothesis could possibly overcome it.

* * *

In the end, do “modern methods produce results that suggest a 99 percent certainty that the bones belonged to Earhart,” as a respected fact-checking website concluded? 8/ Well, the “modern methods” try to exploit the anthropological data more fully than the earlier analyses, but any conclusion about “the certainty that the bones belonged to Earhart” necessarily rests on a judgment of other information as well — the radio transmissions received by the Coast Guard cutter, the failure to spot any signs of Earhart’s presence in a contemporaneous search of the island, other artifacts found on the island in later investigations, and much more.

Professor Jantz is widely reported to have a personal probability of 99% for Earhart as the source of the remains. ABC News, for example, quoted him as stating that "I am 99 percent sure that these bones belong to Amelia Earhart." 10/ This level of belief may be appropriate, based on his review of all the historical information and his latest statistical analysis of the bone lengths. But the article, at least, does not assign a posterior probability to what it presents as “the most convincing argument,” and a forensic anthropologist who did so in court would be relying on knowledge from outside the realm of forensic osteology.

NOTES
  1. Richard L. Jantz, Amelia Earhart and the Nikumaroro Bones: A 1941 Analysis versus Modern Quantitative Techniques, 1(2) Forensic Anthropology 1-16 (2018), available at http://journals.upress.ufl.edu/fa/article/view/525/518.
  2. James Rogers, Amelia Earhart Mystery Solved? Scientist '99 Percent' Sure Bones Found Belong to Aviator, Fox News, Mar. 7, 2018, http://www.foxnews.com/science/2018/03/07/amelia-earhart-mystery-solved-scientist-99-percent-sure-bones-found-belong-to-aviator.html.
  3. The length estimates for Earhart's bones are not exact, bootstrapping is not the same as drawing repeated probability samples from the desired population, and (as discussed in the article) deriving a likelihood ratio involves categorizing continuous measurements into discrete intervals whose size is somewhat arbitrary. Accounting for these sources of uncertainty would produce a broader range of plausible likelihood ratios.
  4. Jantz argues that the sizes of the recovered bones are less typical of Pacific Islanders than of “Euro-Americans,” but the article does not maintain that the probability of a different ancestry is zero or that it should be ignored.
  5. Amelia Earhart: Island Bones 'Likely' Belonged to Famed Pilot, BBC News, Mar. 8, 2018, http://www.bbc.com/news/world-us-canada-43323944.
  6. Rogers, supra note 2.
  7. Cf. Ira M. Ellman & David H. Kaye, Probabilities and Proof: Can HLA and Blood Test Evidence Prove Paternity?, 55 NYU L. Rev. 1131 (1979), available at http://ssrn.com/abstract=1466964.
  8. See, e.g., John Kaplan, Decision Theory and the Factfinding Process, 20 Stan. L. Rev. 1065 (1968); David H. Kaye, Clarifying the Burden of Persuasion: What Bayesian Decision Rules Do and Do Not Do, 3 Int'l J. Evid. & Proof 1 (1999), available at http:/ssrn.com/abstract=2702990
  9. Alex Kasprak, Have Amelia Earhart’s Remains Been Located?, Mar. 15, 2018, https://www.snopes.com/fact-check/amelia-earharts-remains-located/.
  10. E.g., Professor Believes Bones Found on Pacific Island Belong to Amelia Earhart, ABC7 Eyewitness News, http://abc7chicago.com/science/professor-believes-bones-found-on-pacific-island-belong-to-amelia-earhart/3190174/.