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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. This Tweet is unavailable.
    2. Leonie Elliot‏ @elliot_leonie 30 Oct 2019
      Replying to @negatingspirit @Steve_Sailer @aylwyn_scally

      Well they get angry because they know you are right on that particular account. Nevertheless you are wrong everywhere else in this thread. Read the thread over again.

      0 replies 0 retweets 0 likes
    3. This Tweet is unavailable.
    4. Leonie Elliot‏ @elliot_leonie 30 Oct 2019
      Replying to @negatingspirit @Steve_Sailer @aylwyn_scally

      Your assessment that small effect size predictors are useful for individual level prediction or creating population level outcomes.

      0 replies 0 retweets 0 likes
    5. This Tweet is unavailable.
    6. Leonie Elliot‏ @elliot_leonie 30 Oct 2019
      Replying to @negatingspirit @Steve_Sailer @aylwyn_scally

      Right, because the policy at highly scientifically productive countries is to hire scientists (or student scientists), not hire an ethnic group due to their ethnic group’s proclivity for science, regardless of their actual capability.

      1 reply 0 retweets 0 likes
    7. Gregory Cochran‏ @gcochran99 30 Oct 2019
      Replying to @elliot_leonie @negatingspirit and

      If you considered both kinds of info, you'd do better.

      2 replies 0 retweets 11 likes
    8. Leonie Elliot‏ @elliot_leonie 31 Oct 2019
      Replying to @gcochran99 @negatingspirit and

      That would be a nontrivial result actually. It’s not immediately true. You should read more on predictive modeling and machine learning. Typically adding highly correlated variables don’t add any predictive performance.

      3 replies 0 retweets 0 likes
    9. Gregory Cochran‏ @gcochran99 31 Oct 2019
      Replying to @elliot_leonie @negatingspirit and

      Group membership is not a highly correlated variable. This is just an example of regression to the mean ( for populations with different means) . https://en.wikipedia.org/wiki/Regression_toward_the_mean …

      1 reply 0 retweets 3 likes
    10. Leonie Elliot‏ @elliot_leonie 31 Oct 2019
      Replying to @gcochran99 @negatingspirit and

      group memebership is highly correlated to IQ, so a model of Y ~ IQ + group is not gonna be that much better than Y ~ IQ alone. If people here had any domain knowledge they would know this problem is common in all types of forecasting (credit card etc) which group is banned.

      4 replies 0 retweets 1 like
      Covfefe Anon‏ @CovfefeAnon 31 Oct 2019
      Replying to @elliot_leonie @gcochran99 and

      You're absolutely wrong about this - this is a basic application of Bayes' theorem. True g, measured g (IQ), group average of IQ are your three variables. Any given IQ (measured g) for a member of a higher IQ group indicates higher g than the same IQ for a lower IQ group.

      4:37 PM - 31 Oct 2019
      • 1 Like
      • Steve Sailer
      0 replies 0 retweets 1 like

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