On May 18, Jeddah will experience peak summer heat, and these three prediction markets together reveal the market consensus on exactly how hot it will get. Rather than a single yes-or-no question, this group of markets asks about increasingly higher temperature thresholds—38°C, 39°C, and 40°C—allowing participants to express nuanced forecasts about the day's highest temperature. By examining the prices across all three markets, you can see the probability distribution the market is pricing in: if the 38°C market trades near certainty while the 40°C market is a long shot, that tells you the market expects peak heat in the upper 30s but probably not the highest extremes. Conversely, if all three markets trade at similar odds, it suggests significant uncertainty about exactly where the peak will land. The beauty of this market structure is that it avoids false binary choices and instead lets participants express the full range of plausible outcomes. When reading these prices, look for consistency: if 38°C is priced at 85% probability (implied), 39°C should trade lower, and 40°C lower still—this reflects the logical hierarchy of weather outcomes. Any significant departures from this pattern may indicate where market participants see the most uncertainty or genuine disagreement. These markets are especially valuable for meteorologists, risk managers, and anyone interested in how prediction markets price real-world weather events with meaningful consequences.