A pair of Polymarket accounts have drawn scrutiny after netting roughly $37,000 from weather-based prediction markets that used temperature readings from the Charles de Gaulle Airport weather station to settle bets.
The markets hinged on the highest temperature recorded at the station on two separate days — April 6 and April 15 — and both outcomes appear to have turned on brief, unexpected spikes in the recorded readings. French broadcaster BFMTV reported that the station’s temperature climbed above 21°C on April 6 before quickly falling, a fluctuation that helped the winning side collect more than $16,000 on that contract.
Analytics firm Bubblemaps flagged a similar anomaly on April 15: the station reportedly sat near 18°C for most of the day, then briefly jumped to 22°C and dropped back. Bubblemaps says one trader bought “NO” shares on the 18°C outcome just before the spike and later cashed out with more than $21,000 in profit. Crucially, Bubblemaps noted the spike did not appear on nearby stations, raising questions about the timing of the trades relative to the isolated sensor reading.
Meteorologist Ruben Hallali told BFMTV the rapid swings did not resemble normal weather behavior. “Such temperature variations seem very unlikely, especially on these two dates, and over such a short period,” he said, adding that an individual familiar with sensor workings could plausibly have intervened to nudge readings by a couple of degrees at a decisive moment.
Météo France has reportedly filed a complaint with the Roissy Air Transport Gendarmerie Brigade alleging tampering with automated data-processing systems tied to the station. The incidents underscore a broader risk for blockchain-based prediction markets and crypto platforms that rely on single-source observational data: if settlement depends on one sensor, that point of failure can be targeted — intentionally or otherwise — with material financial consequences.
Polymarket and investigators have not publicly detailed the outcomes of any probes. The episode is likely to revive discussions in the crypto community about oracle design, data redundancy and safeguards against manipulation in markets that settle on real-world measurements.
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