Kalshi Bans Three US Politicians for Betting on Their Own Elections

Prediction market platform Kalshi has taken enforcement action against three American politicians caught placing bets on the outcomes of their own electoral campaigns. All three have been banned from the platform for five years and face monetary penalties.

Who Was Sanctioned and Why

The sanctions target Minnesota state senator Matt Klein, US House candidate Ezekiel Enriquez, and Virginia Senate hopeful Mark Moran. The fines amount to $540 for Klein, $784 for Enriquez, and $6,229 for Moran. Moran was additionally ordered to return all profits from his trades after refusing to cooperate with Kalshi's compliance department.

Moran stated he deliberately wagered approximately $100 on himself to test whether the platform would detect insider trading. He accused Kalshi of corruption and pledged to take action if elected to the Senate.

"Finally, one of the moments I've been waiting for. YES, I did bet ~$100 on myself on Kalshi because I wanted to get caught… After discovering potential manipulation on polymarket in the NYC mayoral race (NY Post reported on this) I realized how rife with corruption kalshi…" — Mark Moran for U.S. Senate (@itsmarkmoran), original post

Klein attributed his bet of roughly $50 to curiosity, saying he wanted to understand how prediction markets function. He only later realized he was violating platform rules. Notably, Klein co-authored a Minnesota bill that would ban wagering on real-world events such as elections and political decisions.

Enriquez did not respond to media inquiries and has made no public comment on the matter.

These are not isolated incidents for Kalshi. In late February, the platform blocked former California gubernatorial candidate Kyle Langford, who bet $200 on his own victory and posted a screenshot on X. He was fined $2,000. At the same time, YouTube editor Artem Kapur, who worked with creator James Donaldson (MrBeast), was also sanctioned.

Why This Matters

Prediction markets are expanding rapidly, and the question of insider trading on these platforms is becoming increasingly urgent. Unlike traditional financial markets where insider trading carries criminal penalties, prediction platforms currently lack a clear regulatory framework. Kalshi's self-enforcement measures signal an attempt at industry self-regulation, but state governments are simultaneously moving to establish their own rules.

States Step Up Regulation

On April 22, New York Governor Kathy Hochul signed an executive order prohibiting state employees from placing bets on prediction markets. Illinois Governor J.B. Pritzker had previously taken a similar step.

"Profiting from insider information bets is corruption, plain and simple. Our actions ensure that public servants work for the people they represent, not for personal gain," Hochul stated.

The governor also criticized the administration of President Donald Trump and congressional Republicans, accusing them of allowing an "ethical Wild West" to take hold on prediction platforms without implementing any safeguards against insider trading.

American states are increasingly aggressive in their efforts to regulate prediction market companies. In October 2025, New York authorities demanded Kalshi cease operations for lacking a sports betting license. The platform is currently in litigation with Nevada, where a court temporarily blocked its activity — the regulator classified its contracts as "illegal gambling."

Coinbase chief legal officer Paul Grewal suggested the dispute could reach the US Supreme Court, potentially establishing a precedent for the entire prediction markets industry.

"The questions at oral argument are an unreliable signal in predicting the leanings of a court. Either way, I stand by my longstanding prediction — the Supreme Court will resolve whether sports Ks on DCMs are swaps subject to the exclusive jurisdiction of the CFTC." — Paul Grewal (@iampaulgrewal), original post

Suspected Weather Manipulation on Polymarket

Alongside the Kalshi sanctions, a suspicious incident emerged on rival platform Polymarket. Two accounts earned $37,000 by correctly betting on anomalous temperature readings at a weather station in Paris's Charles de Gaulle airport. The findings came from blockchain analysts at Bubblemaps.

"Did someone manipulate the weather on Polymarket? 🇫🇷 This account made 180x on a Paris temperature market, betting just before a 'glitch' at a local weather station" — Bubblemaps (@bubblemaps), original post

On April 6, the station's temperature spiked to 21°C before immediately returning to normal — the market resolved in favor of the trader, who pocketed over $16,000. A similar event occurred on April 15: readings held at 18°C for most of the day, then briefly jumped to 22°C. One minute before the spike, the trader began buying "no" bets on 18°C and ultimately earned over $21,000.

Neighboring weather stations recorded no such anomalies. Meteorologist Ruben Hallali told BFMTV that these temperature jumps were unlikely to have occurred naturally. He suggested someone with knowledge of sensor mechanics deliberately raised the temperature by two degrees at the precise moment needed to confirm a bet.

The French meteorological agency Météo France filed a police complaint on suspicion of interference with automated data processing systems.