Beijing in mid-April sits at the cusp of spring, with historical average maximum temperatures ranging between 20 and 23 degrees Celsius. The prediction market for an exact high of 22°C on April 20 carries odds of just 7%, reflecting the inherent difficulty in forecasting precise daily temperature outcomes. Weather prediction markets test the market's ability to price specific meteorological events, which depend on atmospheric conditions, cloud cover, wind patterns, atmospheric pressure systems, and seasonal trends. An exact temperature match is statistically more constrained than a range prediction, which explains the low implied probability. The current pricing of 7% YES suggests market participants lean toward outcomes either warmer or cooler than 22°C rather than that specific precise point. Resolution of this market depends entirely on official temperature data from Beijing's meteorological station, measured at standard time and conditions according to international standards. The specificity required—matching exactly 22 degrees—creates a narrow target in daily weather outcomes. As April 20 approaches, odds may shift based on updated weather forecasts from meteorological services and seasonal patterns, demonstrating how prediction markets aggregate and update information as the event date draws near. Traders monitoring this market can observe how real-time forecast updates influence market prices.