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KirkegaardEmil's profile
Emil O W Kirkegaard
Emil O W Kirkegaard
Emil O W Kirkegaard
@KirkegaardEmil

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Emil O W Kirkegaard

@KirkegaardEmil

#psychology #genomics #hbd #rstats #statistics #genomics #transhumanism #dataviz #openscience #psychometrics @OpenPsychJour

Denmark
emilkirkegaard.dk
Joined January 2012

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    1. Random Critical Analysis  🎲 🤔 🕵️‏ @RCAFDM 6 Mar 2017
      • Report Tweet
      Replying to @RCAFDM @pnin1957 @KirkegaardEmil

      at or above the level of CA of self-identifying whites in this dataset

      1 reply 0 retweets 1 like
    2. Random Critical Analysis  🎲 🤔 🕵️‏ @RCAFDM 6 Mar 2017
      • Report Tweet
      Replying to @RCAFDM @pnin1957 @KirkegaardEmil

      i.e., it's consistent with genes potentially explaining the entire gap, but obviously it's not super precise

      1 reply 0 retweets 2 likes
    3. Random Critical Analysis  🎲 🤔 🕵️‏ @RCAFDM 6 Mar 2017
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      Replying to @RCAFDM @pnin1957 @KirkegaardEmil

      and one could argue SES associated with ancestry explains it

      1 reply 0 retweets 1 like
    4. Random Critical Analysis  🎲 🤔 🕵️‏ @RCAFDM 6 Mar 2017
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      Replying to @RCAFDM @pnin1957 @KirkegaardEmil

      I project the black regression across the entire range here(you can compare to the fat blue dot for white means)pic.twitter.com/4yzIGQUWtP

      1 reply 0 retweets 3 likes
    5. Emil O W Kirkegaard‏ @KirkegaardEmil 6 Mar 2017
      • Report Tweet
      Replying to @RCAFDM

      Why using CA2? IIRC, it's not sex adjusted. Gap seems to be about 1.5 d for full range here. @RCAFDM @pnin1957

      1 reply 0 retweets 1 like
    6. Emil O W Kirkegaard‏ @KirkegaardEmil 6 Mar 2017
      • Report Tweet
      Replying to @KirkegaardEmil

      Exercise not super interesting because of the low precision, but yeah, should maybe include such a plot. @RCAFDM @pnin1957

      1 reply 0 retweets 0 likes
    7. Emil O W Kirkegaard‏ @KirkegaardEmil 7 Mar 2017
      • Report Tweet
      Replying to @KirkegaardEmil

      Okay. I changed my mind. I worked out all the results based on this approach and it's a good idea. Will update paper. @RCAFDM @pnin1957

      2 replies 0 retweets 1 like
    8. Timofey Pnin‏ @pnin1957 7 Mar 2017
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      Replying to @KirkegaardEmil @RCAFDM

      Good choice. I'd also convert g scores to IQ scale (100; 15) & multiply ancestry by 100 for better interpretability.

      1 reply 0 retweets 0 likes
    9. Emil O W Kirkegaard‏ @KirkegaardEmil 7 Mar 2017
      • Report Tweet
      Replying to @pnin1957

      Tricky to convert to IQ because the sample is selected. The g scores are calculated for entire sample so sd=1 is not 15 IQ @pnin1957 @RCAFDM

      2 replies 0 retweets 1 like
    10. Emil O W Kirkegaard‏ @KirkegaardEmil 7 Mar 2017
      • Report Tweet
      Replying to @KirkegaardEmil

      in other samples because these are usually based on Whites only. Can't easily do that here due to restriction of range. @pnin1957 @RCAFDM

      1 reply 0 retweets 0 likes
      Emil O W Kirkegaard‏ @KirkegaardEmil 7 Mar 2017
      • Report Tweet

      I also used the Hispanic sample with 2-ancestry model to derive genotypic mean CA. Results are congruent with African Amr @pnin1957 @RCAFDM

      3:15 AM - 7 Mar 2017
      • 1 Like
      • Random Critical Analysis 🎲🤔🕵️
      1 reply 0 retweets 1 like
        1. New conversation
        1. Emil O W Kirkegaard‏ @KirkegaardEmil 7 Mar 2017
          • Report Tweet
          Replying to @KirkegaardEmil

          Euro-Afri genotypic gaps estimated to be: 1.20, 1.40 (AA sample), 1.30 (Hisp. sample). Euro-Amer gap .79. @pnin1957 @RCAFDM

          1 reply 0 retweets 1 like
        2. Emil O W Kirkegaard‏ @KirkegaardEmil 7 Mar 2017
          • Report Tweet
          Replying to @KirkegaardEmil

          Naive conversion to IQ thus: African genotypic IQ = 80. Amerindian genotypic IQ = 88. Lynn will not be surprised... @pnin1957 @RCAFDM

          0 replies 0 retweets 0 likes
          3. End of conversation

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