According to @StockMarketNerd, an owner could bet heavily on Antonio Brown to be the next New York Giants head coach, briefly hire him to trigger a winning outcome, then fire him and keep the profits, demonstrating a manipulable outcome path in current prediction markets (source: @StockMarketNerd on X, Dec 9, 2025, https://twitter.com/StockMarketNerd/status/1998497538538627264). For traders, this underscores that markets lacking robust resolution criteria, cooldown windows, or anti-manipulation rules can be gamed by decision-makers, distorting odds, liquidity, and expected value (source: @StockMarketNerd on X, Dec 9, 2025, https://twitter.com/StockMarketNerd/status/1998497538538627264). The same hire-and-fire vector applies to on-chain prediction markets that resolve on first hire without independent oracles or time locks, implying a risk premium and the need to discount prices where governance is weak (source: @StockMarketNerd on X, Dec 9, 2025, https://twitter.com/StockMarketNerd/status/1998497538538627264). Traders should prioritize markets with clear outcome definitions and manipulation-resistant settlement mechanics to mitigate adverse selection and slippage risk highlighted by this example (source: @StockMarketNerd on X, Dec 9, 2025, https://twitter.com/StockMarketNerd/status/1998497538538627264).