I am pretty sure this tweet is wrong on two or three levels. Can you find them all? But maybe I am wrong. Thoughts? https://twitter.com/davidshor/status/849316701862862851 …
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Replying to @eigenrobot
Problems off the top of my head: 1. No causal identification. No causal identification. No causal identification. No c
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Replying to @eigenrobot
2. Even allowing causal interpretation for every coefficient, Female Educational Attainment's effect size is ~2.5 times larger than unions'
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Replying to @eigenrobot
3. Permitting crimes against statistics and science and caring about this: collective bargaining's p > 0.05
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Replying to @eigenrobot
4. I don't see a charitable interpretation of this travesty outside of me completely misunderstand that table.
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Replying to @eigenrobot
5. If not that, the author is either (i) grossly incompetent, or (ii) a hack of the worst kind, blackening the good name of Data. Ugh. /fin
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6. DURRRRRRR ignored scaling issues on [2]. Revise to "impossible to interpret practical significance of effect size."
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