@pseudoerasmus @Steve_Sailer @JayMan471 @jasonacollins japanese adoptions freq involved family members. don't remb the numbers. i'll check.
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Replying to @hbdchick
@hbdchick@Steve_Sailer@JayMan471@jasonacollins mukoyoshi v. common which is adoption of son-in-law & his assumption of daughter surname2 replies 0 retweets 1 like -
Replying to @pseudoerasmus
@pseudoerasmus@Steve_Sailer@JayMan471@jasonacollins or father's sister's sons.2 replies 0 retweets 0 likes -
Replying to @hbdchick
@hbdchick@Steve_Sailer@JayMan471@jasonacollins but really why does it matter in this particular case, clark docs adoption rates and (1/2)4 replies 1 retweet 2 likes -
Replying to @pseudoerasmus
@pseudoerasmus@Steve_Sailer@JayMan471@jasonacollins well, if social status "moxie" is something genetic, then whether adoptees...1 reply 0 retweets 0 likes -
Replying to @hbdchick
@hbdchick@Steve_Sailer@JayMan471@jasonacollins *magnitudes* parameters matter, clark says up bias in inter-gen correl 0.06 from 10% adopt5 replies 0 retweets 1 like -
Replying to @pseudoerasmus
@pseudoerasmus@Steve_Sailer@JayMan471 "...male adoptio." that might *not* be worse if adoption was mostly of family members...1 reply 0 retweets 0 likes -
Replying to @hbdchick
@hbdchick@Steve_Sailer@JayMan471 yes but IF male adoptees all strangers then change in correl. only 0.06 then surname change not that bad2 replies 0 retweets 1 like -
Replying to @pseudoerasmus
@hbdchick@Steve_Sailer@JayMan471 and if 10% error via adoption creates 0.06 bias then ask what wd 10% surname change look like socially ?3 replies 0 retweets 1 like -
Replying to @pseudoerasmus
@hbdchick@Steve_Sailer@JayMan471 bears repeating : twitter discussion = caged wombat confinement = bias analysis better in blog !1 reply 0 retweets 1 like
@pseudoerasmus @Steve_Sailer @JayMan471 heh! =P
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