Homophones, Plurals and Language ‘Rulescucks’ Are Roiling Prediction Markets
Bets decided on linguistic technicalities are exposing how hard it is to turn language into a binary market with payouts hinging on a single word.
Illustration: Mathieu Larone for Bloomberg
It was the fourth quarter of the Pinstripe Bowl at Yankee Stadium on Dec. 27 when Penn State defensive end Dani Dennis-Sutton darted between two hapless blockers and sacked Clemson quarterback Cade Klubnik. Or as the game announcer described it: “Dennis-Sutton wraps him up and turfs him!”
This was good news for Penn State fans, en route to a 22-10 win. It might have been even better for the traders on prediction market platform Kalshi who’d wagered that the announcer would say the word “turf.” At 3:18 p.m., right after Dennis-Sutton’s sack, the market’s odds on “Yes” surged from 25% all the way up to 99%, indicating a surefire win.