Government policy-making departments and intelligence agencies in various countries may need to incorporate abnormal data fluctuations in prediction markets into their reference frameworks in the future.

The recent incident in Venezuela is a typical example. On the eve of major political changes, there was a remarkable trading anomaly on Polymarket—three wallet accounts with no prior betting records suddenly made large-scale bets just hours before a key event, with betting amounts reaching millions of dollars.

From on-chain behavior patterns, these transactions exhibit obvious "predictive" characteristics. The accounts had no history, yet suddenly poured in funds at extremely precise times, and the betting directions were ultimately validated as correct—this operational logic highly aligns with institutional behavior under information asymmetry.

This not only reflects the data transparency features of prediction markets but also exposes a deeper issue: on the transparent Web3 ledger, some participants seem to possess an information advantage. For regulators, such on-chain anomalies may be worth considering as an additional dimension for public opinion early warning.