These three interconnected prediction markets focus on a specific meteorological question: what will be the highest temperature in Los Angeles on April 27? Rather than offering a single yes-or-no prediction, the markets are structured around temperature ranges—55°F or below, 56-57°F, and 58-59°F—allowing participants to express more nuanced views on the likely outcome. This segmented approach reflects how professional meteorologists think about forecasts, breaking down the probability space into discrete, adjacent bands that collectively account for the full spectrum of possibilities. The prices across these three markets reveal valuable information about where market participants believe the actual high temperature will fall. When you examine the prices together, a probability distribution emerges: if the 56-57°F range commands the highest price, that suggests the crowd views this as the most likely outcome; lower prices on other ranges indicate less probable but still plausible scenarios. Comparing the three prices also highlights where uncertainty concentrates—steep differences between adjacent ranges suggest confidence in a particular boundary, while shallow differences indicate diffuse expectations across multiple outcomes. For anyone interested in weather forecasting, market mechanics, or the collective intelligence of decentralized prediction platforms, these markets offer a transparent, real-time window into how diverse participants aggregate information and express confidence across a range of possibilities. The data points below show current market prices and implied probabilities based on recent trading activity.