
Vitalik Buterin made comments on April 23 regarding the Polymarket fan-control incident, saying that for this kind of event, prediction markets should be required to use the median of at least 3 (or even more) independent sources as the basis for adjudication. Previously, a user used a leaf blower to artificially raise temperature data collected by a Paris weather collection terminal, manipulated the outcome of weather-related prediction market events, and profited about $34,000.
In a public comment made by Vitalik Buterin on April 23, he proposed for Polymarket weather prediction events that the outcome should be determined by the median of at least three independent sources, to prevent the risk of a single data point being manipulated by people. In his comment, Vitalik directly made the above recommendation regarding the manipulation of data from a Paris weather station, arguing that a multi-source median mechanism can effectively avoid similar attack vectors.
According to Polymarket’s publicly available incident records, a user used a leaf blower near a Paris weather collection terminal to artificially raise the collected temperature, causing the adjudication result of the related prediction market event to shift toward a direction favorable to them. In the end, the user profited about $34,000. The incident sparked public discussion about the design of prediction markets with a single data source.
Based on Vitalik Buterin’s prior public statements, last year he traded on Polymarket with a principal of about $440,000 and earned a profit of about $70,000; his strategy was described by him as a “anti-crazy mode”: identifying markets driven by extreme irrationality and placing inverse bets on results that are unlikely to occur.
Vitalik said that his main trading areas are political and technology markets, and he explained the characteristics of such markets using examples including market expectations for Trump to win the Nobel Peace Prize, and predictions during periods of economic panic that the dollar would collapse to zero within one year. He also revealed that during the 2020 U.S. presidential election, he had profited about $58,000 from election-related prediction markets.
Based on Vitalik Buterin’s public comment on April 23, he recommended that prediction markets should be required to use the median of at least three (or more) independent sources as the basis for adjudicating outcomes for incidents of this kind, in order to prevent the risk of single-point data being manipulated by people.
According to Polymarket’s publicly available incident records, a user used a leaf blower to artificially raise the temperature data collected by a Paris weather collection terminal, manipulated the outcome of a Paris weather-related prediction market event, and ultimately profited about $34,000.
Based on Vitalik Buterin’s prior public statements, he used an “anti-crazy mode” strategy to trade on Polymarket, mainly focusing on political and technology markets; last year he earned about $70,000 profit with about $440,000 in principal. During the 2020 U.S. presidential election period, he also profited about $58,000 from election-related predictions.
Related Articles
Kalshi Penalizes Three US Congressional Candidates for Wagering on Own Campaigns
Polymarket Faces Insider Trading Scrutiny as Trump-Related Prediction Trading Surges
Delphi AI Prediction Market Launches on Gensyn Mainnet
Microsoft Considered Acquiring Cursor, But SpaceX Secured Deal Option at $60B Valuation
Météo France Files Police Complaint Over $35K Polymarket Weather Bet Anomalies
Polymarket Trading Volume Surges to $100M+ During U.S.-Iran Tensions, April 5-8