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CovfefeAnon's profile
Covfefe Anon
Covfefe Anon
Covfefe Anon
@CovfefeAnon

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Covfefe Anon

@CovfefeAnon

Not to be confused with 2001 Nobel Peace Prize winner Kofi Annan. 54th Clause of the Magna Carta absolutist. Commentary from an NRx perspective.

Joined July 2017

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    1. Ewan Birney‏ @ewanbirney 27 Oct 2019
      Replying to @ewanbirney @Steve_Sailer and

      For (a) the vast majority of variation has low frequency, and the majority of traits are multi-locus (if they are the opposite: high frequency and single locus with effects - it will be obvious - things will run in families very clearly). Rule of thumb - you need 1,000 to 5,000+

      2 replies 1 retweet 8 likes
    2. Ewan Birney‏ @ewanbirney 27 Oct 2019
      Replying to @ewanbirney @Steve_Sailer and

      For (b) using skin colour to genotype people is about 30-50 odd loci around the genome, out of a notional need for about 300,000. Looking at people is just plain madness as a genotyping strategy. Very best case: you can do association to some aggregate signal of this 30 odd loci

      7 replies 2 retweets 7 likes
    3. Ewan Birney‏ @ewanbirney 27 Oct 2019
      Replying to @ewanbirney @Steve_Sailer and

      In addition, using the extreme phenotype of "getting into the 100 meter final" is a bad way to measure the continuous variable you are after (I'm imputing alot here). For starters you need the other side of this >>

      2 replies 1 retweet 3 likes
    4. Ewan Birney‏ @ewanbirney 27 Oct 2019
      Replying to @ewanbirney @Steve_Sailer and

      ie, your "control". This could be "everyone who doesn't get into the 100m final" in which case I will encourage you to recruit Usain Bolt's cousins into your study and try to work things out from there.

      2 replies 2 retweets 4 likes
    5. Ewan Birney‏ @ewanbirney 27 Oct 2019
      Replying to @ewanbirney @Steve_Sailer and

      Finally, with (c) you have to go on blind hope your assumption is right that the genotypes you measure are random with the complex environment of "becoming a 100m Olympic athlete".

      2 replies 1 retweet 3 likes
    6. Ewan Birney‏ @ewanbirney 27 Oct 2019
      Replying to @ewanbirney @Steve_Sailer and

      (because you have decided to measure genotypes in this really cookie, weird way of "looking at someone" you dont even have the GWAS test of this assumption in the QQ plot or other techniques. You just have to hope).

      3 replies 1 retweet 3 likes
    7. Ewan Birney‏ @ewanbirney 27 Oct 2019
      Replying to @ewanbirney @Steve_Sailer and

      Now, let's say we wanted to assess 100m sprinting genetics. It's a valid trait. What would be a *good* study design?

      7 replies 1 retweet 4 likes
    8. Steve Sailer‏ @Steve_Sailer 27 Oct 2019
      Replying to @ewanbirney @aylwyn_scally and

      Here's a good study design for race of 100m sprinting ability: worldwide competitions in 100m dash. Those who run the global qualifying time get invited to Olympics. They run 2 or 3 preliminary rounds, then fastest 8 men race for Gold. Winner gets $30 mil per/yr in endorsements.

      2 replies 4 retweets 43 likes
    9. Claire Lehmann‏Verified account @clairlemon 28 Oct 2019
      Replying to @Steve_Sailer @ewanbirney and

      Almost like a natural experiment

      3 replies 1 retweet 18 likes
    10. ArturoBandini‏ @ArturoB70910424 28 Oct 2019
      Replying to @clairlemon @Steve_Sailer and

      Except it's not: you're looking across different countries/regions with very different social histories, environments etc. Many (non-genetic) things not being controlled for. This is not a scientific approach at all. Do you think you understand this topic better than Ewan et al?

      4 replies 0 retweets 3 likes
      Covfefe Anon‏ @CovfefeAnon 29 Oct 2019
      Replying to @ArturoB70910424 @clairlemon and

      In that Steve understands it at all and Ewan has a negative understanding, yes, he clearly does

      12:39 AM - 29 Oct 2019
      • 1 Like
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      0 replies 0 retweets 1 like

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