Rough AI truth score
67/100
Gould's larger warning against reifying intelligence, treating group averages as essences, and smuggling social hierarchy into measurement remains important. His signature Morton case is materially disputed: later remeasurement challenged several accusations of biased measurement, while newly recovered evidence still shows that Morton's racial science was not neutral.
Based on three central claims · medium-high confidence
Psychometric scores can predict some outcomes, yet construct choice, environment, measurement invariance, sampling, and causal interpretation matter. A statistical general factor does not by itself establish one immutable biological substance or justify ranking moral worth among individuals or populations.
Human genetic variation is real and geographically structured, but racial categories are historically contingent, internally heterogeneous, and poor substitutes for ancestry and environment. Group score differences do not identify genetic causes or fixed potential without much stronger causal evidence.
A 2011 remeasurement argued that Morton's skull measurements were generally accurate and that Gould introduced analytical errors. A 2018 reconstruction found Gould's specific bias case problematic while also showing that Morton's shifting methods and racial premises prevent treating the work as unbiased science.
What this number means. It is an AI-generated first-pass judgment of three central factual or causal claims—not a rating, exhaustive fact-check, or human peer review. Claim credits are 100% for supported, 75% for mostly supported, 50% for mixed, and 25% for weak, then averaged and rounded. Lower confidence means the score should move more as better evidence arrives.
Method three-central-claims/0.1.0 · checked 2026-09-01 · 3/3 selected claims assessed · method and source audit