Also, Bosnians, Croats, and Serbs don't fare too badly abroad. They seem to do much better than MENA and Turkish communities in Germany/Nordics (regarding violent crime, economic status, educational attainment). E.g.https://www.kristeligt-dagblad.dk/danmark/unge-bosniere-er-blevet-en-integrationssucces …
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In the absence of perfect datasets, we can also look at media/ethnographic reports of populations in the US that mostly consist of recent refugees. IMO, these reports suggest that refugees in America are not highly-selected like other immigrants. E.g. http://www.ijhssnet.com/journals/Vol_4_No_11_1_September_2014/22.pdf …
I don't trust media reports, but one can do some quantitative studies of some of them. Have you seen work by J Fuerst on US recent African immigrants? http://humanvarieties.org/2015/11/05/the-measured-proficiency-of-somali-americans/ … and http://humanvarieties.org/2015/10/28/using-surnames-to-assess-ethnic-aptitude/ … See also http://emilkirkegaard.dk/en/?p=5347
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I've read many of his other posts on HV, but not those two. Thanks!
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These name based methods are clever and could easily be expanded to many areas. One can get name origins using e.g. http://behindthename.com/ . For names not in database, one can certainly build a highly accurate predictor based on the letter patterns in the names.
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One can certainly also do this for every other ethnicity, including Jews, so it is one way to quantitatively study the JQ. I suggested using this on book titles/metadata before to test KMac model claims.
End of conversation
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