When War Is Settled Before the News: How Prediction Markets “Priced” Maduro’s Arrest Operation 6 Days Early | Bee Network
0x31a5 (0x31a5…8eD9) placed bets before the actual US military action
This means insiders knew about the US military operation 6 days in advance and began building positions on Polymarket. Obtaining the operational plans of the US military—arguably the world’s strongest armed force—so early is something perhaps no hacker or national intelligence agency could achieve, but Polymarket did. It doesn’t employ any eavesdropping methods; it merely opens an express lane for the greed inherent in human nature. Undoubtedly, this insider must be close to US political elites or senior military officers, perhaps even holding a high position themselves (it’s unlikely to be a US soldier participating in the operation, placing orders while fighting?). More importantly, the actors have almost no fear of exposure. Polymarket structurally possesses inherent advantages in anonymity: no KYC, near-zero account creation cost, sufficient liquidity, and crypto settlement ensuring privacy. Under such conditions, it’s highly difficult to trace addresses and confirm real identities afterward. So when the participation cost is minimized while potential returns are maximized, it’s no longer a moral issue but a problem of incentive design. Faced with such a mechanism, even outwardly respectable, righteous politicians can hardly guarantee they will never cross that line. Predicting Truth or Rejecting Insider Information But let’s consider another possibility: if the Venezuelan government had monitored abnormal buying activity related to this on Polymarket in advance, would things have changed slightly? (This isn’t difficult because the insider’s bets were quite obvious—large buys in a low-probability market. With prior monitoring, anomalies would likely be detected.) Then, perhaps the Venezuelan government would have become alert before the US operation. To be safe, Maduro might have moved to a more impregnable underground fortress earlier; or he might have prepared the army for battle (Odaily Note: During the operation, half of Venezuela’s army was in a relaxed state due to Christmas holidays). Then, the US military might not have suffered zero casualties but rather a bloody conflict. At the very least, Venezuela could have sought support from other countries in advance or publicly declared the possible US action at the UN to politically constrain the opponent. Of course, the above assumptions are very rough, and this event might truly be a coincidence. But the fact remains: “Probability changes for major political events on Polymarket always precede mainstream information release.” When this pattern is repeatedly verified, the price signals of prediction markets cease to be mere trading outcomes and begin to be viewed by the outside world as reference indicators. Their function gradually resembles the Pentagon’s “Pizza Index”—an informal yet highly sensitive risk thermometer. This is certainly something US authorities do not want to see. Previously, US Representative Ritchie Torres planned to introduce the “Predictive 市场s Public Integrity Act of 2026,” aiming to establish restrictive rules against potential “insider trading” in prediction markets. The bill proposes to prohibit federal elected officials, political appointees, and executive branch employees from trading prediction market contracts related to government policies or political outcomes if they possess or can reasonably access material non-public information in the course of their duties. Following the exposure of this Polymarket insider event involving Maduro, this bill may receive high-level attention from the US government. The Kalshi PR account immediately responded, stating that its platform rules explicitly prohibit any trading based on material non-public information. Kalshi can guarantee this because it has been compliance-oriented from the start, with extremely high KYC requirements for platform users. If insider trading occurred, Kalshi could immediately investigate user identities and even freeze funds. Polymarket naturally becomes a haven for these insiders. To some extent, insider trading and Polymarket are mutually beneficial. Polymarket provides a safe house for insiders to make money, while insider trading brings more trading volume and fame to Polymarket. Many of Polymarket’s breakout moments have been due to revealing truths earlier than traditional media. This isn’t because Polymarket players are exceptionally clever, but because a minority 指导s the probabilities. Ideally, prediction markets reflect the wisdom of the crowd, but in reality, they are just a playground for insiders. For most ordinary people, this isn’t necessarily bad. Through prediction markets like Polymarket, people can sense the direction of certain events earlier, reducing passive reception of sudden news and no longer being entirely subject to emotional public opinion and lagging media narratives. In effect, this resembles a form of “decentralization” at the information level. But for those at the top of the pyramid, the situation is precisely the opposite. For a long time, “who knows what and when” has been an order in itself. The truth isn’t something that cannot be disclosed; it needs to be released at the right time and in the right concentration. Anyone attempting to disrupt this rhythm is seen as challenging the established rules. Therefore, Polymarket might once again run into the iron wall of US regulation. In 2024, Polymarket’s founder was raided by the FBI at his New York home, marking the most tense confrontation between Polymarket and the US government. Now, Polymarket has returned to the US market and obtained CFTC approval, suggesting relations have eased. However, regarding highly classified military or security affairs like the Maduro capture operation, any form of premature information leakage is unacceptable to the US government. Currently, as prediction markets are in a critical phase of seeking compliant positioning and institutional space, the emergence of such events, even if ultimately deemed coincidental, will be interpreted by regulators as a potential threat. What prediction markets face is not just a technical compliance issue, but whether they are unintentionally encroaching upon the sensitive boundaries of traditional information security and national governance. If predictions no longer lead the truth, what remains? This question cannot be avoided in the future. 本文来源于互联网: When War Is Settled Before the News: How Prediction Markets “Priced” Maduro’s Arrest Operation 6 Days Early Related: Interview with XT.COM COO: CEXs are facing severe internal competition; what is the way to break through? Against this backdrop, another group of trading platforms is also catching up quickly. Among them, XT.COM (hereinafter referred to as XT) has particularly caught our attention. With the number of assets it supports (more than 1,300 tokens and more than 1,300 trading pairs), the richness of its products and its sensitivity to market trends (such as launching Card and prediction services in addition to basic trading), low fees and a transparent fee structure, and online and offline activities that keep up with the latest trends, it has accumulated more than 12 million traders from more than 200 countries, with 2 million monthly active users. 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