These four prediction markets distill a single, concrete question: what will be Chicago's highest temperature on May 18, 2026? Each market represents one possible answer, spanning a range from 59°F or below up to 65°F, divided into two-degree increments. Together, they form a complete forecast framework—one where the actual temperature must resolve into exactly one of these bands. This structure reveals something powerful: the full probability landscape of an outcome. Instead of a binary yes-or-no prediction, you see a distribution. The market price in each band reflects the collective crowd's conviction. A market at 40 cents means roughly 40% of the crowd expects that outcome; 60 cents indicates 60% expect it. By reading all four markets in concert, you discover where consensus clusters most densely, where uncertainty remains, and which scenarios the market may be mispricing relative to other information sources. These markets are grouped together precisely because they're interconnected parts of one event. On May 18, only one band will be correct, making them mutually exclusive yet collectively exhaustive. As the date approaches, watch how prices shift. Each movement reflects the crowd's updated assessment—new weather models, seasonal trends, and evolving forecaster guidance all influence the probabilities in real time. This is how prediction markets function as information aggregators: they compress diverse views into a single price that reflects the crowd's best collective judgment about what will happen. Whether you're assessing weather forecasts, testing market sentiment, or learning how prediction markets work, these linked markets offer a transparent, real-time view of how the market expects Chicago's weather to unfold.