As far as I know, no one has ever properly done such a study. It would also be quite difficult to do without genetic data because of admixture and the continuous stream of new immigrants from these countries and the changing selection over time.
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Yes, exactly that sort of thing has never been really evaluated AFAIK. One can't just point do some prior gap that disappeared, and then assume genetics did not change. By the way, this study has pretty rigorous approach and finds ancestry matters. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2608567 …
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you didn't even read to the end of the abstract, did you?
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I've read the entire paper months ago. Did you read it?
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yeah. to the extent it discusses differential back-migration, it says it's not important
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Replying to @dbweissman @KirkegaardEmil and
but i wouldn't call it rigorous. take a high-dimensional system, reduce to way too few dimensions, do a correlational analysis on a few extra dimensions that aren't isolated by any obvious symmetries, find significance, put some very specific causal interpretations on it
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Replying to @dbweissman @KirkegaardEmil and
to the extent that one buys their story: there's nothing genetic about it; they're analyzing county-level productivity, not individual performance; they're specifically including collective effects that can't be reduced to individual level ones;…
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Yes, I get it. You have high standards for stuff you don't like. Priors and all that. But as far as this kind of research goes, that paper is pretty rigorous. Fixed effects, tracing ancestry movement across time. About as good as it gets without genomic data. Take it or leave it.
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Now, it would be very nice to get a large genomics dataset and do admixture analysis for sub-European differences, and relate these to IQ/SES. 23andme etc. have this kind of data, but hard to get from them. I tried with their state-data but lack of power.https://openpsych.net/paper/8
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