Who Classifies the Classifier?

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

Pick One from Three (All Three Numbers Are Correct)

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

This Isn’t Cheap Talk

This is the first of three posts this week on prediction markets. They can be read independently, but they build. Today’s question is about information. Wednesday’s is about jurisdiction. Friday’s is about ontology, which sounds worse than it is. Start with a fact pattern. In the weeks surrounding the Iran nuclear negotiations, large futures positions … Read more

Congratulations on your impossibility theorem

This blog does not usually do “journal club.” (Ed: huh? …who “does journal club?” Is it voluntary?) It’s not that I have anything against academic journals — I publish in them, edit one, and spend a disproportionate fraction of my waking life reading them — but their timelines and their intended audience are different enough … Read more

Know When to Hold ‘Em (or, “what is AI?”)

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

The Physics of Political Networks

In a 2015 symposium on big data and measurement, Maggie Penn and I argued that social choice theory is central to the analysis of complex data precisely because any reduction of high-dimensional data into a usable measure involves aggregation, and aggregation involves choices about what to preserve and what to discard.1 We used the Florentine … Read more

All Measurements Are Local

Scientific American ran a piece yesterday on Simpson’s paradox — the phenomenon in which a trend that holds within every subgroup of a dataset reverses, or vanishes entirely, when those subgroups are combined. Regular readers of this blog will have encountered it before. In 2012, it showed up inside No Child Left Behind: a school … Read more

Reconcile Yourself: It’s Time for a Byrd Bath!

The big news in congressional procedure this week — and I recognize that “big news in congressional procedure” is a phrase that requires either explanation or apology, and I intend to provide both — is that Senate Republicans are planning to use the budget reconciliation process to pass the SAVE America Act, a voter ID … Read more

Paying the Hostage

When we last checked in on the DHS shutdown, the diagnosis was a bilateral war of attrition: two parties simultaneously bearing costs, each hoping the other would flinch first, while the costs fell primarily on TSA workers and travelers who had no seat at the table. The shutdown was 36 days old. The signal, I … Read more

An Agenda-Setter With a Ticker

On March 16, a federal judge in Arizona denied Kalshi’s motion for a preliminary injunction against the state. On March 17, Arizona Attorney General Kris Mayes filed 20 misdemeanor criminal charges against the company — the first criminal charges ever filed against a major prediction market. The charges allege that Kalshi is operating an illegal … Read more