Is the survival of prediction markets a safe bet?
On a cold January night in New York City, Chris Hayes walked off the set of CBS’s Late Show with Stephen Colbert only to face a pressing ethical dilemma. As he left the Ed Sullivan Theater and walked on to Broadway, he got a text from a friend who covers technology for NPR with a screenshot of a Yes/No market that had been spun up on the prediction market Kalshi, based on what Hayes might say on the evening’s broadcast. What would he say about Donald Trump? Would he talk about affordability, Russia, China, Greenland or other topics? It was just a $22,000 market in volume, a minor amount. But what struck Hayes as truly bizarre about the market was this: it was a prediction market about something that had already happened.
