Betting Morality on Data Corrupts the Data

2026-08-12 · AI-generated insight

Gould's quote contains, almost in passing, the key to understanding everything that goes wrong in the other three notes. He concedes that racial equality "is not given a priori" — it is a contingent empirical outcome, and "a hundred different and plausible scenarios" could have yielded "moral dilemmas of enormous magnitude." His parenthetical offers the escape hatch: equal treatment can be an ethical principle regardless of what the data say. But nobody in these notes, including Gould himself, seems willing to actually live in that parenthesis.

Consider what happens when the moral commitment is instead staked on the empirical claim. If human dignity depends on group differences being negligible, then any dataset becomes a hostage situation — and the incentives to rescue the hostage by any means become overwhelming. Warne's account shows this playing out at the individual level: Gould accused Morton of unconsciously fudging cranial data to fit his racial biases, and a generation of anthropologists later leveled the identical accusation at Gould. Whatever the final verdict on Morton's skulls, the symmetry is the lesson. The mechanism Gould diagnosed — motivated measurement — does not care which direction the motivation points.

The Coon episode shows the same dynamic at the institutional level. The AAA condemned a book almost none of its members had read, because the moral stakes made reading it feel unnecessary, even dangerous. When ethics is believed to hinge on an empirical question, examining the evidence becomes itself a suspect act.

Lewontin's note then reads differently than intended. His empirical claim (most variation is within groups) is followed immediately by a normative one (classification has "no social value" and "no justification"). The slide from is to ought is exactly the move Gould's parenthesis warned against — because it implies that if the genetics had come out otherwise, the justification for equal treatment would weaken. A morality that robust to evidence would need no data manipulation, no secret meetings, no condemnation without examination. The scandal is that its defenders apparently didn't trust it to be.

Woven from these notes

Equality [of the races] is not given a priori. It is neither an ethical principle (though equal treatment may be) nor a statement about norms of social action. It just worked out that way. A hundred different and plausible scenarios for human history would have yielded other results (and moral dilemmas of enormous magnitude). They didn't happen.

— Gould 2026-07-20

Many scholars have criticized The Mismeasure of Man periodically throughout its 38-year history. For example, James T. Sanders stated that Gould’s attempt to link his argument to anti-racism was a ploy to smear intelligence scholars and Gould’s enemies as evil people. Arthur Jensen argued in 1982 that Gould misrepresented Jensen’s ideas and often demolished strawmen that no intelligence scholar believes, including the boogeyman of “biological determinism.” John Carroll showed that Gould understood neither the purpose nor interpretation of factor analysis (a statistical procedure often used to evaluate data from psychological tests) and that Gould’s attacks on factor analysis do nothing to alter the importance of intelligence tests, nor the mass of evidence—impossible to dispute—that they predict real-life outcomes. Most criticism of The Mismeasure of Man was confined to the recherché world of psychologists who study intelligence. However, a new debate opened up in 2011 when a team of anthropologists argued that Gould’s analysis of the data on cranium measurements from 19th century scientist Samuel George Morton was flawed. Gould cast Morton as a racist who fudged his data to match his beliefs about white racial superiority because of a supposed larger skull capacity. Instead, the anthropologists argued, it was Gould who manipulated the data to support his biases. This ignited a series of follow-up articles in the scholarly literature by authors taking a variety of positions regarding Morton’s data and Gould’s interpretations. Weisberg believed that the re-analysis was flawed and Gould was mostly correct. Kaplan and his colleagues claimed that Morton’s interpretations were flawed, but that Gould was incorrect in believing that he could discern Morton’s actions and motivations. Finally, Mitchell believed that Morton’s data were accurate and that the interpretations were colored by the racism of the era, but the claim that Morton subtly manipulated the data was a fiction created by Gould.

— Russell T. Warne The Mismeasurements of Stephen Jay Gould 2026-07-20

Carleton Coon was one of the greatest anthropologists of the 20th century and a champion of the study of racial differences. In 1961 he was elected president of the American Anthropological Association. It was during this year that Carleton Putnam's infamous book Race and Reason came out. Putnam's book argued that there were significant differences between the races and that this had important political implications. A few anthropologists became upset when they saw the book gain popularity and wanted the AAA to intervene. But they knew that Coon supported the book and that, as a result, having the AAA take action against it would be difficult. So they organized a secret meeting behind Coon's back in order to issue a statement denouncing Putnam's work. Coon found out about the meeting and went to stop it. Upon entering the meeting Coon asked all the association members who had actually read Putnam's book to raise their hands. Only one rose. He then asked for the hands of everyone that had even heard of the book prior to that meeting. Only a few hands rose. None the less, the statement against the book passed. Coon, disgusted by the actions of his peers, resigned from the AAA (1). This incident stands out in the history of science as a particularly clear example of scientists not living up to what people expect of them. People often take what scientists say for granted. They trust that scientists have looked at the evidence rationally and are giving the public as accurate an account of all the relevant facts as they can. When explaining science to laypeople researchers are expected to only make authoritative statements on topics they are knowledgeable of, to not lie about scientific evidence, and to not omit obviously relevant facts. People trust scientists to do these things and so feel comfortable taking what they tell them for granted. (See

2026-07-21

It is clear that our perception of relatively large differences between human races and subgroups, as compared to the variation within these groups, is indeed a biased perception and that, based on randomly chosen genetic differences, human races and populations are remarkably similar to each other, with the largest part by far of human variation being accounted for by the differences between individuals. Human racial classification is of no social value and is positively destructive of social and human relations. Since such racial classification is now seen to be of virtually no genetic or taxonomic significance either, no justification can be offered for its continuance.

— Lewontin 2026-07-21