I’m interested in how a domain, work of language or art, mathematical proof, movie, etc. can be “up its own ass”
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I think the core is being excessively self-focused, in repetitions/layers, and ignoring outside world - ultra-advanced omphaloskepsis
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A certain level of focus on tools is acceptable, but after a while we expect people and things to “get on with it” whatever “it” is
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What are the most “up its own ass” things you can think of? Feel free to include things you like that are nonetheless up their own asses
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Replying to @literalbanana
in my own work, econometrics just iteration on iteration of tweaks on the margins of OLS econ used to be at the front of social sciences, now the others are adopting ML methods and absolutely eating our lunch which is one reason i fucking quit
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Replying to @eigenrobot @literalbanana
ML innovation can help with scraping goodies out of raw sources of data and selecting the right variables, but otherwise it doesn't help with identifying causal effects *at all* based on my conversations with people At best it's useful for prediction within a regime, imho
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Be curious what they're reading There's a strand of literature by eg Susan Athey, Greg Duncan, etc that's all about adapting ML methods to a causal context
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