The prediction market platform Kalshi has once again proven that its rules are not just a formality. This time, Lori Buckhout, the Republican candidate for the U.S. House of Representatives from North Carolina's First Congressional District, found herself in the crosshairs. For betting on her own victory, she received a three-year ban and a monetary fine.
The Price of Overconfidence
Buckhout purchased contracts worth less than $1,000 tied to the results of her own campaign. It might seem trivial, but for Kalshi, this was a direct violation of Rule 5.17(z), which prohibits traders from making bets on events whose outcomes they can directly or indirectly control. Election candidates automatically fall under this prohibition.
The fine amount turned out to be nearly three times the size of the bet itself — $2,589.96. Buckhout admitted the violation, agreed to the suspension and payment, and also publicly commented on the situation: "I bet on myself. Literally. A stupid move, and as soon as I learned about the issue, I immediately decided to fix it. You could say my trading career on Kalshi ended very quickly."
Tightening the Rules
This is not the first incident of its kind. At the end of August, Kalshi permanently suspended former Congressman George Santos and issued him a fine of more than $70,000, but he refused to cooperate with the investigation. And shortly before that, the CFTC and Kalshi jointly punished a White House staffer who had bet on the text of Donald Trump's speech.
The platform has clearly taken a course toward combating insider trading. In June, new measures were introduced to foster a fair market, and now we are seeing them applied in practice. Notably, the U.S. Congress may go even further — Congressman Brian Stil has introduced a bill that would completely ban lawmakers from betting on political outcomes, with severe fines and confiscation of profits.
My comment: This case is a vivid illustration that prediction markets are becoming full-fledged financial platforms with strict compliance. Kalshi's self-regulation here is working proactively: if the platform turned a blind eye to such violations, trust in its quotes would be undermined, and regulators would have another reason to tighten control over the entire industry.