Working independently on making AI systems reason safely about decision theory and acausal interactions, collaborating with Caspar Oesterheld and Emery Cooper.
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Extreme nitpick, but you mean the optimizer’s curse, not the winner’s curse. The winner’s curse is that when you win an auction, you should expect to have overpaid (similar dynamics to the optimizer’s curse though.) The optimizer’s curse is really interesting and worth a read IMO! Doesn’t come from worries with p-hacking but applies even when the data you look at is fair and unbiased. IIRC due to the distribution of random errors but I could be wrong.