Caden Booth did not show up to the Super Bowl to watch the game. He flew to San Francisco after spotting that Charlie Puth was in the city three days before kickoff, then waited outside the stadium with a stopwatch and a bird-listening device to time Puth’s national anthem rehearsal. He was there to win a prediction market bet. And he did.
What struck him most was the absence of competition.
“I thought I was going to show up here and there would be 500 people sitting outside. To me, I was like, this is just common sense.”
—Caden Booth, Planet Money
That gap between what Booth expected and what he found is the most important thing a casual bettor can hear right now.
Logan Suddath, 25, quit his job at a private credit firm after realizing he was earning more betting on prediction markets after work than from his entire annual salary. His approach is methodical. He earned over $40,000 predicting Time Magazine’s Person of the Year by analyzing which subjects the magazine had been covering most heavily.
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To me, the prediction market story rhymes almost perfectly with what happened in options trading and crypto. A new venue opens up, early participants find genuine edge, word spreads, and then the professionals arrive with more time, better tools, and no day job pulling their attention away.
Planet Money has been investigating whether the claim that prediction markets “add knowledge to the world” actually holds up as these platforms scale. It is a fair question. Platforms like Kalshi and Polymarket have persuaded regulators they are information aggregation tools, not gambling venues. The distinction matters legally. Whether it matters to your wallet is different.
Kalshi now offers markets across more than 14 major categories, from Fed rate decisions and GDP readings to Oscars outcomes, music chart positions, and intraday crypto moves. The breadth is designed to feel approachable. Polymarket runs markets with minimum order sizes of just 5 units and tight spreads, making entry feel frictionless.
That accessibility is precisely the trap. Low barriers attract casual participants. Casual participants attract professionals hunting for easy counterparties.
Suddath and Booth are genuinely impressive. Their research ethic would translate well to any domain that rewards information asymmetry. But they are the exception, and their success is a warning sign. If you are placing prediction market bets between meetings or during commercial breaks, you are almost certainly on the other side of a trade from someone who flew to San Francisco with a stopwatch.