The political prediction platform Kalshi has once again found itself at the center of a scandal involving violations of insider trading rules. This time, the target was Laurie Buckhout, a Republican candidate for the House of Representatives, who placed a bet on her own victory in North Carolina's First Congressional District, where her opponent is Democrat Don Davis.
The fine amount exceeded the size of the bet
According to the disciplinary notice, Buckhout purchased contracts worth less than $1,000, but all of them were tied to the outcomes of her own campaign. This is a direct violation of the platform's rule 5.17(z), which prohibits traders who can directly or indirectly influence the outcome of an event from participating in trading. Candidates automatically fall under this prohibition.
Notably, the fine Buckhout agreed to pay amounted to $2,589.96 — more than double her initial bet. In the end, she admitted to the violation, agreed to a three-year ban, and accepted the monetary penalty. The politician herself commented on the situation with a touch of self-irony: "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 rules: Santos and the White House operator
This is not an isolated incident. In recent days, Kalshi has noticeably tightened its oversight of insider activity. For example, at the end of August, the platform permanently suspended former Congressman George Santos, issuing him a fine of more than $70,000. Santos, for his part, refused to cooperate with the investigation.
Earlier, in conjunction with the U.S. Commodity Futures Trading Commission (CFTC), Kalshi penalized the operator of the White House telecommunications hub, who placed bets on the content of Donald Trump's speech. These measures are part of the platform's broader strategy to combat insider trading, initiated back in June.
Legislative pressure is mounting
Meanwhile, the U.S. Congress is considering a radical solution to the problem. Congressman Bryan Steil introduced a bill that would completely prohibit lawmakers from placing bets on political outcomes, with harsh sanctions including profit confiscation and substantial fines.
My analysis: This case highlights a fundamental vulnerability of prediction markets: they only work if participants are absolutely honest. But when it comes to politicians with direct access to insider information, the risk of manipulation becomes systemic. It is telling that Kalshi is reacting quickly and firmly — this is critically important for maintaining trust in the industry as a whole. The only question is whether self-regulation will be enough, or whether legislative intervention is inevitable.