just as the greatest philosophers are soldiers so are the best statisticians today in industry
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what do you think will happen when academic social scientists adopt ML heterogenous treatment effect estimation trying to decide whether lit or boring and not in a state of mind to say for sure
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Replying to @eigenrobot
only works in industry bc they have ~ 100x more causal data to work w their questions are "easier" and only about the systems they've created social science is much harder and going in the other direction: fx are homogeneous until proven otherwise (good 1st approximation)
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i think this is exactly the issue, effects assumed homogenous because data terrible relative to industry calibre when i started working with private sector data the first thing that happened was I started to doubt all other results, I have seen this with other econometricians
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