Houston's April 28 weather has drawn significant prediction market activity, with five linked markets collectively forecasting the city's highest temperature that day. These markets are grouped together because they span a realistic, contiguous range—from a cool 68–69°F through to a warm 78–79°F—letting you see at a glance where the crowd concentrates its conviction. Prediction markets transform uncertain outcomes into numerical probabilities by aggregating thousands of independent traders' judgments; each market's price reflects the current crowd estimate for its specific 2-degree temperature band. Higher prices indicate greater confidence in that outcome; lower prices signal the crowd views it as less probable. What makes prediction markets effective forecasting tools is their ability to weave together meteorological data, seasonal patterns, real-time information, and diverse human expertise into a single, dynamic probability distribution. The temperature thresholds chosen here break Houston's possible April weather into meaningful, granular scenarios instead of crude bins. As you examine the five markets below, notice which bands carry the highest prices—they represent the consensus expectation. Lower-priced markets highlight less likely but still plausible outcomes. Some traders might lean toward a mild, typical spring day in the low 70s; others might anticipate above-average warmth pushing toward 78–79°F. The collective prices reveal not just the crowd's central expectation but the distribution of opinion across possible futures. Whether you're a weather enthusiast, a business planning around temperature-dependent operations, a data analyst studying crowd forecasting, or simply curious about how decentralized prediction mechanisms work, these five linked markets provide a real-time, granular window into what thousands of forecasters expect Houston's April 28 weather to deliver.