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PaperclipPerfector  5mo ago (text post)   31929 thread views

Culture War Roundup for the week of June 23, 2025

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I want to talk about genetics. Scott Alexander has a new piece out about Missing Heritability, basically going through the issues with twin studies:

Twin studies suggested that IQ was about 60% genetic, and EA about 40%. This seemed to make sense at the time - how far someone gets in school depends partly on their intelligence, but partly on fuzzier social factors like class / culture / parenting. The first genome-wide studies and polygenic scores found enough genes to explain 2%pp1 of this 40% pie. The remaining 38%, which twin studies deemed genetic but where researchers couldn’t find the genes - became known as “the missing heritability” or “the heritability gap”.

Scientists came up with two hypothesis for the gap, which have been dueling ever since:

Maybe twin studies are wrong.

Maybe there are genes we haven’t found yet

He goes through a TON of research literature, basically describing how the entire scientific apparatus in genetics tried to figure out why twin studies couldn't be confirmed via actual genetics. To me, it sounds like an extremely robust way to prove that the twin studies were wrong. However, his ultimate conclusion appears to be:

So how heritable are complex traits, and why can’t different methods agree on this?

I think the twin / pedigree / adoption estimates are mostly right. They are strong designs, their assumptions are well-validated, and they all converge on similar results. They also pass sanity checks and common sense observation.

Although polygenic scores, GWAS, GREML, RDR, and Sib-Regression are also strong designs, they’re newer, have less agreement among themselves, and have more correlated error modes in their potential to miss rarer variants and interactions. Although it’s hard to figure out a story of exactly what’s going on with these rarer variants and interactions, there seems to be some evidence that they exist (again, see 1, 2, 3)15, and it seems easier to doubt this new and fuzzy area than the strong and simple conclusions from twin / pedigree / adoption work.

So... even though the twin studies can't really be proven, despite two decades of intensive, worldwide research focus and ungodly amounts of funding, he still argues they are "mostly right."

To me, this assertion is evidence of the glaring blindspot which materialist rationalists such as Alexander have - they assume that materialism / genetic determinism is right, and then reason backward in order to make their fundamental assumptions fit the data. While the genetic framework is clearly helpful and has had some limited success in new medical breakthroughs, it's beyond obvious to anyone with an ounce of common sense that compared to the hype in the early 2000s, the new branches of genetic science have been a massive let down.

Overall I'm very curious where the life sciences will go. Iain McGilchrist, author of The Master and His Emissary as well as other books, makes some interesting comments in a recent post where he excerpts his own book:

As David Bohm commented in the 1960s, it is an odd fact that, just when physics was moving away from mechanism, biology and psychology were moving closer to it. ‘If the trend continues’, he wrote, ‘scientists will be regarding living and intelligent beings as mechanical, while they suppose that inanimate matter is too complex and subtle to fit into the limited categories of mechanism.’[9] He was not mistaken.

Nonetheless, in the first half of the twentieth century, many philosophically minded biologists, including such eminent British figures as John Scott Haldane and his better-known son, J.B.S. Haldane, as well as Conrad Hal Waddington, moved decisively, like the physicists, away from the machine model. Less renowned, largely by his own choice, but no less distinguished, was Ludwig von Bertalanffy, the great Austrian biologist and polymath who originated general system theory. In 1933 he wrote: ‘we cannot speak of a machine “theory” of the organism, but at most of a machine fiction’.[10]

Despite this encouraging development, a more or less abrupt reversion to the seventeenth-century Cartesian model came over the life sciences with the rise of molecular biology, and its language of ‘programmes’, ‘codes’, and so forth, in the twentieth century’s second half. According to Carl Woese, writing in 2004, ‘biology today is little more than an engineering discipline’.[11] And Woese was no embittered outsider. His pioneering work revolutionised mainstream biology; he was one of the most influential and widely honoured microbiologists of all time, described by a colleague as having ‘done more for biology writ large than any biologist in history, including Darwin’.[12] But he was disturbed by what he saw.

We'll have to see if biologists are actually able to move beyond the mechanistic model and into a more complex, realistic view of life. The obvious CW implications here are how the scientific/materialist worldview and the religious worldviews continue to interact. Right now, the Left seems to be mostly materialist, whereas the right is (nominally) religious. If we can work to merge these two views, we may find more political unity or at least a new set of combinations for our political approaches.

I mean IQ itself is a fuzzy concept. We can only really measure it by proxy, which by itself would create some added complexity here. The more precise way to say this would be “twins are 60% likely to score the same IQ on an IQ test.” The test doesn’t directly measure IQ, and depending on which test you take, when you take it, and under what conditions, you might get some different scores just from those things even if the same person is being tested. Then you have environment, one kid is encouraged to read a lot and do math puzzles. The other plays lots of sports. One eats nothing but junk food, the other eats clean. Those differences can affect brain development.

It’s both and, to my mind.

It's another step removed from that, most of these studies are looking at Educational Attainment (e.g. highest degree received) which itself is a (highly) imperfect measure of IQ (which itself is an imperfect measure of General Intelligence 'g' which is the name given to the statistical observation that many different measures of what we consider intelligence correlate pretty tightly). The Genome Association studies are further largely using SNP databases which themselves more often only correlations to whatever loci are actually impacting things rather then directly impactful themselves.

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