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QuasLacrimas's profile
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@QuasLacrimas

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@QuasLacrimas

qvi•petere•a•popvlo•fasces•sævasqve•secvres•imbibit•et•semper•victvs•tristisqve•recedit

Joined October 2016

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    1. Media Frenzy‏ @MediaFrenzyrp Apr 13
      Replying to @gwern @kph3k

      4 is not bizarre gibberish, it speaks to the severe limitations in connecting a small subset of the details of physical structure to a few specific behaviors, that are further connected to very ambiguous, ill defined outcomes.

      1 reply 0 retweets 0 likes
    2. gwern‏ @gwern Apr 13
      Replying to @MediaFrenzyrp @kph3k

      Yes, it is gibberish. It is a vulgarized operationalism run amok. It would be equally absurd to apply the arguments and deem 'unscientific' everything routinely measured and studied, from height to weight to temperature to health records to SES to mental illness, all indirect.

      1 reply 0 retweets 5 likes
    3. Media Frenzy‏ @MediaFrenzyrp Apr 13
      Replying to @gwern @kph3k

      Its not the specfic indirect measurements that are a problem, its linking multiple indirect measures with incomplete information. gene=>brain structure =>cog func =>IQ => success - each connection is problematic, overall, really dangerous.

      1 reply 0 retweets 1 like
    4. gwern‏ @gwern Apr 13
      Replying to @MediaFrenzyrp @kph3k

      No, they're not problematic? You can compute PGS for success or SES directly if you like, and you find the genetic correlations between those 'really dangerous' steps are pretty much what you would expect. And none of it is "scientifically meaningless" or "really dangerous".

      1 reply 0 retweets 1 like
    5. Media Frenzy‏ @MediaFrenzyrp Apr 14
      Replying to @gwern @kph3k

      so data that doesn't describe the entire space of parameters effecting cognitive ability are not problematic ? PGS and SES leaves out many contextual details. 1 d correlations barely show stat significance with R^2 or p values. not problematic ? whatever

      1 reply 0 retweets 0 likes
    6. gwern‏ @gwern Apr 14
      Replying to @MediaFrenzyrp @kph3k

      It is unscientific in the extreme to demand perfection and deride as meaningless and unscientific anything which doesn't explain 100% R^2. No scientific theory has ever delivered that. And I dunno what a '1 d correlations' is supposed to be or where you are pulling p-values from.

      2 replies 2 retweets 3 likes
    7. tantum‏ @QuasLacrimas Apr 15
      Replying to @gwern @MediaFrenzyrp @kph3k

      remember that the left can vomit out infinite numbers of 6-follower accounts to say “not problematic? whatever”

      1 reply 0 retweets 0 likes
    8. Media Frenzy‏ @MediaFrenzyrp Apr 15
      Replying to @QuasLacrimas @gwern @kph3k

      LOL, when I make the same arguments about the shoddy science with some climate change theories, they call me a russian bot. I just expose people who don't understand (or don't care about) statistics.

      1 reply 0 retweets 0 likes
    9. tantum‏ @QuasLacrimas Apr 15
      Replying to @MediaFrenzyrp @gwern @kph3k

      i’m glad you’re eclectic but it seems that you don’t understand how principal components analysis works; and you’re pestering someone who does interesting research in his spare time

      1 reply 0 retweets 0 likes
    10. Media Frenzy‏ @MediaFrenzyrp Apr 15
      Replying to @QuasLacrimas @gwern @kph3k

      I'm not the one who doesn't understand PC analysis, and its limitations. To be clear, you and @gwern are claiming it is possible to genetic screening of embryo's for intellignce that leads to greater success in life - that there is no information gap in current data ? by PCA ?

      2 replies 0 retweets 0 likes
      tantum‏ @QuasLacrimas Apr 15
      Replying to @MediaFrenzyrp @gwern @kph3k

      If you can narrow this down to which of the four numbered theses advanced in the linked article you intend to defend, I will be happy to answer.

      2:51 PM - 15 Apr 2018
      1 reply 0 retweets 0 likes
        1. New conversation
        2. Media Frenzy‏ @MediaFrenzyrp Apr 15
          Replying to @QuasLacrimas @gwern @kph3k

          #4

          1 reply 0 retweets 0 likes
        3. tantum‏ @QuasLacrimas Apr 15
          Replying to @MediaFrenzyrp @gwern @kph3k

          And do you agree with her 4th pt? Or do you agree that it’s bizarre gibberish to claim that only something that tests for the presence of whatever X is defined as can be an indicator of X?

          2 replies 0 retweets 0 likes
        4. Media Frenzy‏ @MediaFrenzyrp Apr 15
          Replying to @QuasLacrimas @gwern @kph3k

          I agree with her. Though I think you are not exactly accurate in characterizing her statement. she is pointing out that operational characteristics like IQ are not related to only biology, and so any statistical relationships cannot be used for effective screening

          1 reply 0 retweets 0 likes
        5. tantum‏ @QuasLacrimas Apr 15
          Replying to @MediaFrenzyrp @gwern @kph3k

          Okay if you agree with her there is nothing to discuss; she doesn’t understand how indicators work.

          1 reply 0 retweets 0 likes
        6. Media Frenzy‏ @MediaFrenzyrp Apr 15
          Replying to @QuasLacrimas @gwern @kph3k

          she doesn't have to, the issue is the quality of the data - GIGO

          1 reply 0 retweets 0 likes
        7. gwern‏ @gwern Apr 15
          Replying to @MediaFrenzyrp @QuasLacrimas @kph3k

          /sigh. Measurement error reduces the efficiency of GWAS and puts a ceiling on PGS variance, but it doesn't make GWAS impossible, and you can still get plenty of results even with crummy IQ measurements like UKBB.

          0 replies 0 retweets 0 likes
        8. End of conversation

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