This is the second of three posts this week on prediction markets. Monday’s post was about information — specifically, about what kind of signal moves through a prediction market before an official announcement arrives. Today’s is about jurisdiction. Friday’s will be about something more fundamental than either. On April 3, a federal judge in Arizona … Read more
Last week’s post ended with a theorem. This one starts with a dashboard. The theorem — Arrow’s impossibility result, applied to the aggregation problem that Simpson’s paradox creates — is on the record in All Measurements Are Local if you want it. The short version: when subgroup results conflict with each other and with the … Read more
There is a lot of noise about AI safety these days, and I want to contribute to it in a specific and, I hope, useful way. Maggie and I are spending this year at the Russell Sage Foundation working on, among other things, how to make our theoretical work on classifiers understandable to a broader … Read more