Chicago's May 17 weather has attracted significant attention from prediction market participants, who have collectively structured a series of linked forecasts centered on the city's high temperature for that day. This event page aggregates ten related prediction markets, each addressing a distinct temperature outcome—from scenarios of 45°F or below through progressively warmer ranges including 46–47°F, 48–49°F, 50–51°F, and extending to 58–59°F. These markets function as a decentralized information aggregator, combining inputs from traders and forecasters who integrate weather models, historical meteorological patterns, and real-time atmospheric data to assess probabilities. When examining the prices displayed below, you're viewing live consensus estimates reflecting the likelihood that Chicago's high temperature will land within each specified range. Higher prices indicate stronger market confidence in those outcomes, while lower prices suggest the market views those scenarios as less probable. This granular approach to weather forecasting reveals not merely whether conditions will be cold or mild, but precisely where probability mass concentrates along the temperature spectrum. By surveying the complete set of outcomes, observers can identify which ranges attract the most confidence, spot potential mispricings relative to published meteorological forecasts, and track how market expectations evolve as May 17 approaches. For weather professionals, data analysts, or anyone interested in how distributed networks synthesize knowledge into probabilistic predictions, these linked markets offer a live window into real-time probability assessment and collective intelligence at work.