Maybe IQ genetics isn't so complex. For IQ-educability, r=0.8 based on 158 SNPs. For height, r=0.6 based on 693.pic.twitter.com/yuBXzF3NuA
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Maybe IQ genetics isn't so complex. For IQ-educability, r=0.8 based on 158 SNPs. For height, r=0.6 based on 693.pic.twitter.com/yuBXzF3NuA
Okbay et al, 2016: 405,072 subjects 158 educability GWAS-significant SNPs also in 1000 Genomes database Correlation with Lynn/Piffer average IQ=0.83 Lee et al, 2018: 1.1 million 2985 educability SNPs Correlation=0.90 From really, really good to really, really, really good.pic.twitter.com/G1Beiyca72
Notice whites are neither tops nor outliers, contra critique.
Those interested in serious debate on #RaceandIQ would be remiss to ignore this.
@Steve_Sailer @thealthype @JohnHMcWhorter @GlennLoury @SamHarrisOrg @charlesmurray @AnnCoulter @RichardBSpencer @gmrevans @dianalambert
Unsilenced Science Retweeted Unsilenced Science
Since the data is public, presumably anyone could check my work. However, I think 1000 Genomes either moved or deleted the precise files that I used. I wouldn't recommend manually calculating so much with their browser.https://twitter.com/UnsilencedSci/status/786054048562589696 …
Unsilenced Science added,
'We demonstrate that scores inferred from European GWASs are biased by genetic drift in other populations even when choosing the same causal variants and that biases in any direction are possible and unpredictable.'http://www.cell.com/ajhg/fulltext/S0002-9297(17)30107-6 …
That sounds good. Random biases means no aggregate bias.
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