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eigenrobot's profile
eigenrobot
eigenrobot
eigenrobot
@eigenrobot

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eigenrobot

@eigenrobot

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eigenrobot.substack.com
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    1. eigenrobot‏ @eigenrobot 12 May 2020

      suppose x represents iq and y represents some measurable and continuously variable trait, analogous to "bandwidth" or "clock speed" or "working memory" or "cores" what does the distribution look like? what if you invert the function? how does this vary by trait?

      19 replies 0 retweets 34 likes
    2. GeniesLoki‏ @GeniesLoki 12 May 2020
      Replying to @eigenrobot

      Basically they all look like very noisy (usually straight) lines going in a positive direction, because all useful mental traits are weirdly positively correlated and that correlation defines IQ. I can recommend "Intelligence: A Very Short Introduction" if you want to know more.

      1 reply 0 retweets 8 likes
    3. GeniesLoki‏ @GeniesLoki 12 May 2020
      Replying to @GeniesLoki @eigenrobot

      Oh, you asked about distribution. Well it looks like an ellipsoid with the major axis sloping upwards.

      1 reply 0 retweets 5 likes
      eigenrobot‏ @eigenrobot 12 May 2020
      Replying to @GeniesLoki

      hmmmmm very interesting heh I bought that book maybe it didnt stick I had expected there might be some interesting things happening with nonconstant second derivatives of conditional means of y

      9:19 AM - 12 May 2020
      • 1 Like
      • 𝚠𝚒𝚕𝚍𝚏𝚕𝚘𝚠𝚎𝚛 🌺
      1 reply 0 retweets 1 like
        1. GeniesLoki‏ @GeniesLoki 12 May 2020
          Replying to @eigenrobot

          Oh there might be I suppose. Whether there are or not probably depends a lot on the trait and how you measure it. I think the distributions in the book are mostly obvious ellipses but maybe that's because they deliberately put measurements in a format that works for that

          0 replies 0 retweets 1 like
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