I'm pretty sure national income -> obesity, for example.
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Replying to @RCAFDM @KirkegaardEmil
Probably weak though, and drastically getting weaker. Wouldn't be surprised if the correlation became negative in a decade or two.
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Within the U.S. for eg, IQ and obesity are negatively correlated. and IQ and income are positively correlated.
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Replying to @Jon_StewartMill @KirkegaardEmil
Yeah, I assume the effect diminishes.
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Replying to @RCAFDM @KirkegaardEmil
Random Critical Analysis 🎲 🤔 🕵️ Retweeted Random Critical Analysis 🎲 🤔 🕵️
I don't think the effect is very weak though (at least not for most populations!)https://twitter.com/RCAFDM/status/787832499099561985 …
Random Critical Analysis 🎲 🤔 🕵️ added,
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Replying to @RCAFDM @KirkegaardEmil
Thanks. Interesting how they all slope downwards in the end! (Hence my conjecture about decades from now..)
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Replying to @Jon_StewartMill @KirkegaardEmil
I'd love to find good regional ancestry/admixture estimates by country for further analysis because the official ones are probably too crude for these purposes
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Replying to @RCAFDM
You mean like http://www.brown.edu/Departments/Economics/Faculty/Louis_Putterman/world%20migration%20matrix.htm …?
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Replying to @KirkegaardEmil
i've used putterman/migration matrix stuff before. deep roots is interesting here too, but I'd like to see regional admixture estimates for each country to see if there are interaction effects
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Replying to @RCAFDM @KirkegaardEmil
(i.e., on more a continuous basis than binning countries to some particular population group)
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Like for our American studies. These genomic data are hard to come by. Our Argentina data were quite questionable. However, with the continuous expansion of consumer genomics, we will get much richer datasets. Give it a few years.
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