...data from 473 NBA players in the 2016-17 season ( http://stats.nba.com/league/player/#!/bio/ …).
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Would the trend hold without Isaiah Thomas? (presumably the point at upper left)
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I haven't done it but I'm betting yes: what correlation there is is actually negative. So removing him isn't going to do much.
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...conditional upon being in the NBA. Conscript all faculty members into a season and do a plot of height vs score...
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now you are seeing my larger point...
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Also, Milton Friedman's thermostat decouples causation from correlation in a subtle way.
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I was more addressing how we assess predictors of success in our field...
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Right, my follow-up question was "Is this about GRE scores and admissions?". Or an analog of GRE at any stage.
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Berkson's paradox.
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ooh, I didn't know it had a name: https://en.wikipedia.org/wiki/Berkson's_paradox …
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It has two names! As far as I can tell, it's basically the same thing as https://en.wikipedia.org/wiki/Simpson%27s_paradox …
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I’m pretty sure that’s something else.
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Perhaps so
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do it on a team basis just for funsies
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tried to make the dots colored by team, but it was messy.
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rebounds obviously had a correlation with height?
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not when you condition on being over 6'8"...
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@3rdreviewer A little biased IMHO: A 6-footer that made it to NBA, did so despite disadvantage-->better shooter on average [where are 5's?] -
it is of course very biased. That was my point.
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I think the lesson here is that you can't be subtle on twitter.
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I try not to be...
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