On May 17, 2026, Busan will experience its own weather moment—and the prediction markets collected here offer a transparent window into what meteorological forecasters and market participants expect for that day. Each of these four markets centers on a single variable: the highest temperature recorded in Busan on May 17. By comparing the probability estimates across all four, you gain insight into not only the most likely temperature range but also where collective confidence strengthens and falters. The markets are structured around specific thresholds: one covers whether the high will be 23°C or below, another whether it will reach exactly 24°C, a third pricing 25°C, and a fourth tracking 27°C. This granular structure reveals the shape of probability across the temperature spectrum. If markets pricing 23°C-or-below show strong consensus while 27°C draws weaker odds, the signal is clear: participants expect moderate conditions. When odds diverge sharply across thresholds, it suggests genuine uncertainty about where the high will land. For readers encountering prediction markets for the first time, remember that in these markets, higher odds reflect lower probability—the inverse of how betting odds typically work. By reading across these four markets simultaneously, you're viewing a real-time probabilistic forecast from a distributed network of forecasters, not a single model or authority. This transparency—seeing multiple temperature scenarios priced at the same moment—is what prediction markets offer that traditional forecasts often cannot: a window into the uncertainty itself.