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Cosign on those, especially the second one, which is a deep dive into why it might be hard not to come up with a "g-factor" even if you deliberately made up bullshit tests (which is not what people did).

Ned Block also has an excellent, deep, and very accessible piece --- more targeted to a lay audience than Cosma Shalizi's pieces, which are very much "about" statistics --- on what it is "heritability" means (tl;dr: it does not mean what most comments on HN seem to think it means):

https://www.nedblock.us/papers/heritability.pdf



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