Los Angeles's weather on April 28 provides a clear case study for how prediction markets aggregate information across a spectrum of outcomes. This event-aggregator page groups four related markets that all address the same underlying question—what will the high temperature be in Los Angeles on April 28, 2026?—but frame it through different temperature bands. By examining these markets side by side, you can see how the crowd's probability estimates shift across the range, painting a detailed picture of the collective forecast. The four markets cover distinct bands: 51°F or below, 54–55°F, 56–57°F, and 58–59°F. Each market's price reflects the crowd's estimate of that temperature range's likelihood. When you read the prices below, look for patterns: Do the probabilities cluster around certain bands, suggesting consensus on where the high is likely to fall? Are there gaps—temperature ranges where no market exists, implying lower conviction? The relative prices tell a story about expected weather patterns, seasonal norms for late April in Southern California, and how much uncertainty the crowd perceives. This type of granular outcome structure is particularly useful for understanding not just whether an event might occur, but the distribution of how it might unfold. By comparing prices across adjacent bands, you can infer where the probability mass concentrates and spot any discontinuities that might indicate surprising shifts in the crowd's forecast as new information arrives.