How A Hair Dryer ‘Rigged’ Paris Weather Bets And Made Around 32 Lakh

Last Updated:April 24, 2026, 21:11 IST

The man approached the sensor and briefly heated the surrounding air using a portable heat source, causing a temporary spike in the recorded temperature.

A bizarre incident at a Paris airport has exposed a potential vulnerability in weather-based prediction markets, after a man allegedly manipulated temperature readings using hair dryer to win thousands of dollars on Polymarket, the world’s largest prediction market.

According to reports, the platform was settling bets on Paris temperatures using data from a single sensor operated by Météo-France, located near the perimeter of Charles de Gaulle Airport.

The individual reportedly placed bets on an unlikely outcome — a daily high of 22°C — at a time when forecasts suggested temperatures would remain around 18°C. The odds were long, and the bets were cheap.

However, investigators alleged that the man then approached the sensor and briefly heated the surrounding air using a portable heat source, causing a temporary spike in the recorded temperature. A hair dryer may have been used to artificially inflate the temperature reading, several outlets reported.

The reading was registered as the day’s maximum before quickly returning to normal levels. The manipulation allegedly allowed the bettor to win significant payouts, estimated at around $34,000 (around Rs 32 lakh). The same tactic was reportedly used twice — on April 6 and April 15 — before authorities detected irregularities.

Météo-France, the official national weather service of France, has since taken note of the incident and filed charges, raising serious concerns about the integrity of systems that rely on isolated data points for financial outcomes.

In view of physical findings on one of our instruments and the analysis of sensor data, an official said Météo-France was indeed led to file a complaint for alteration of the operation of an automated data processing system with the Air Transport Gendarmerie Brigade of Roissy.

The episode has also sparked wider debate over the reliability of decentralised prediction markets and their dependence on real-world data feeds, highlighting how physical vulnerabilities can translate into financial risk in digital platforms.

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