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this post was submitted on 24 Jan 2024
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SneerClub
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Hurling ordure at the TREACLES, especially those closely related to LessWrong.
AI-Industrial-Complex grift is fine as long as it sufficiently relates to the AI doom from the TREACLES. (Though TechTakes may be more suitable.)
This is sneer club, not debate club. Unless it's amusing debate.
[Especially don't debate the race scientists, if any sneak in - we ban and delete them as unsuitable for the server.]
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I see now that my mistake as a very Bourdieu-pilled kind of person was to assume that "heritability" meant "traits that a population statistically inherits from their parents" instead of the narrower "traits that a population statistically inherits from their parents which we should assume are genetic if we close our eyes and pretend our model is adequate at filtering out environmental factors" in effect here.
I didn't mean to sound too derisive, heritability is an actually useful metric as far as I can tell, it's just not as intuitive or monosemantic as a lot people will make it out to be, especially in the absence of significant correlating DNA evidence.
Siskind strawmans this into the alleged opposition desperately claiming that "it's not genetic unless there's a specific gene you can point to", aka the bitches dont know bout my poly/omnigenic traits argument.
Right, I don't think even classical twin studies are entirely meaningless, but when they're made out to say something specific about actual genetics there does seem to be a habit of severely underestimating possible environmental factor.
You don't even have to believe in sociology. As quoted in the post Scott helpfully links to at the end of his diatribe: “It starts in the womb: while fraternal twin embryos are always connected to their mother via two unique placentas, identical twins most often (but not always) share a single placenta. This means that, beginning soon after conception, identical twins typically have more similar access to nutrients, oxygen, and other factors than do fraternal twins” (Moore and Shenk, 2017)
"we should assume are X if we pretend our model is adequate at filtering out interfering factors" is basically the best you can do in science.
The devil lies in the actual adequacy of the filters.