FlightAware vs. Kalshi: A Lawsuit That Raised a Dangerous New Question About Prediction Markets

FlightAware's lawsuit made three core claims:

• Unauthorized data use: Kalshi scraped or otherwise relied on FlightAware's data to operate the markets without permission .
• Trademark infringement: Kalshi's market pages displayed FlightAware's branding and told customers outcomes were "verified from FlightAware," falsely implying a commercial partnership or endorsement . FlightAware said it had demanded Kalshi stop but the platform continued .
• Breach of contract: FlightAware's terms of service prohibit unauthorized commercial use of its data, and the suit alleged that Kalshi's scraping and reliance on that data for financial settlements violated those terms .

FlightAware sought an injunction, disgorgement of Kalshi's profits, treble damages, and a jury trial .

The Safety Argument That Goes Beyond Insider Trading

The most distinctive part of FlightAware's complaint—and what makes this case notable beyond the data dispute—was its argument about safety and systemic risk.

FlightAware warned in its lawsuit that financial markets tied to real-world flight cancellations could create a perverse incentive for bad actors to deliberately interfere with airline operations. The Wall Street Journal reported that FlightAware said such markets "could encourage unsafe tactics to cause cancellations and create the potential for disruption to air travel" . The suit specifically argued that bad actors could profit by spreading false information, coordinating hoaxes, or physically disrupting airport procedures to trigger cancellations .

FlightAware also argued that because the markets settle based on its data stream, any manipulation or delay in its data feeds could also be exploited for financial gain, introducing new security and reliability risks to aviation infrastructure .

This argument goes beyond the standard insider trading concerns that have already rocked the prediction market industry in 2026. It raises a fundamentally different regulatory question: when prediction markets are tied to physical infrastructure, do they create incentives for real-world sabotage?

The Broader Context: Insider Trading Scandals in Prediction Markets

The FlightAware suit did not emerge in a vacuum. It landed amid a year of high-profile insider trading cases that had already put prediction markets under intense scrutiny.

The Polymarket Maduro Bet (January 2026)

Hours before the Trump administration launched the operation that captured Venezuelan President Nicolás Maduro, a newly created Polymarket account wagered $32,000 that Maduro would be removed from office by the end of January. When the capture succeeded, the trader netted over $400,000 in profit .

The U.S. Commodity Futures Trading Commission (CFTC) later charged U.S. Army Special Forces soldier Gannon Ken Van Dyke with insider trading, alleging he used his advance knowledge of the military operation . A New York Times investigation found that more than 80 Polymarket users had placed bets that showed signs of insider trading .

The case prompted legislation from Rep. Ritchie Torres to explicitly criminalize insider trading on prediction markets .

The White House Teleprompter Operator Case (July 2026)

Just weeks before the FlightAware suit, Gabriel Perez, President Trump's longtime teleprompter operator, was placed on unpaid leave and investigated by the CFTC after Kalshi flagged suspicious trading patterns . Perez was alleged to have made nearly $100,000 (some sources say over $100,000) by betting on more than a dozen of Trump's speeches on Kalshi's "Mentions" markets—bets placed using inside knowledge of speech content that he had loaded onto the teleprompter himself .

Kalshi proactively identified and reported the suspicious trades to federal regulators . Perez entered settlement talks with the CFTC and was ultimately no longer in his White House post .

Why the FlightAware Case Matters

While the lawsuit itself was short-lived, it introduced a distinctive argument that extends the debate over prediction market regulation far beyond insider trading.

Traditional criticisms of prediction markets focus on market manipulation, unfair access to nonpublic information, and the integrity of the betting process. The Maduro Polymarket case and the teleprompter case fit squarely within those concerns. But FlightAware's argument—that prediction markets tied to operational infrastructure carry physical safety and security risks through financial incentives to interfere with real-world systems—adds an aviation safety dimension to the regulatory conversation that regulators and lawmakers had not previously confronted.

The FlightAware suit raises the question of whether prediction markets on operational events like flight cancellations, power grid failures, or similar infrastructure-related outcomes should be subject to additional safeguards beyond standard anti-fraud and insider trading protections. As prediction markets continue to expand into new domains, the question of where the line between legal betting and systemic risk lies will only become more urgent.