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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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
End of conversation
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