In a case blending cryptocurrency betting, low-tech ingenuity, and oracle vulnerabilities, French meteorological authorities are investigating suspected tampering with a public weather sensor at Paris Charles de Gaulle Airport.
The incident, which allegedly netted a trader tens of thousands of dollars on the prediction market platform Polymarket, has spotlighted risks in decentralized betting systems reliant on single data sources.
According to reports, the trader placed low-cost bets on unusually high daily maximum temperatures in Paris for April 6 and April 15—outcomes with slim odds given forecasts around 18°C.

On Polymarket, one user reportedly turned roughly $119 into over $21,000 by betting against 18°C as the high, while combined profits across incidents reached approximately $34,000–$37,000 from modest stakes.
Météo-France, France’s national weather service, uses an automated sensor near the airport runway perimeter to resolve these markets. On both dates, the sensor recorded abrupt spikes of 3–5°C within minutes—reaching 22°C—before readings normalized. Nearby stations showed no similar anomalies, prompting suspicion of physical interference.
Climate enthusiasts on forums like Infoclimat and users on X speculated that a portable hairdryer was used to heat the exposed probe briefly. Security concerns led Météo-France to file a criminal complaint with the Roissy Air Transport Gendarmerie Brigade for tampering with an automated data system. The agency has since posted guards at the site.
Polymarket settles many weather contracts based on official readings from this single point, a practice now under scrutiny. Critics highlight the classic “oracle problem” in blockchain and prediction markets: reliance on potentially manipulable real-world data. The platform has reportedly adjusted its Paris temperature data sources following the events.
While viral videos purporting to show the act have circulated—some dismissed as AI-generated—the core allegations remain under official investigation. No arrests have been publicly announced.
The episode underscores growing pains for prediction platforms as markets mature and attract sophisticated actors willing to exploit edge cases.
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