Los Angeles weather on May 19 presents an opportunity to analyze probabilistic forecasting across tiered temperature ranges. These four prediction markets segment the expected high temperature for the day into four discrete bands: 55°F or below, 56–57°F, 58–59°F, and 60–61°F. Together, they form a coherent prediction scaffold that allows observers to track how the market estimates the likelihood of each outcome as the forecast date approaches. The grouping reflects the natural granularity of weather prediction—ranges narrow enough to be meaningful yet broad enough to capture substantive variation. As you examine these markets, pay attention to which range commands the highest probability, as that concentration typically reflects the consensus forecast among market participants who incorporate weather models, historical precedent, and recent atmospheric conditions. Probability estimates across the four ranges should sum to approximately 100%, with one range likely to dominate as the forecast date draws near. Price movements—how odds shift across hours and days—can reveal whether forecaster confidence is consolidating around one temperature band or dispersing across outcomes. Lower-probability ranges often represent genuine uncertainty or tail scenarios that some participants believe warrant attention. By monitoring these tiered markets together rather than in isolation, you gain a fuller picture: where the median expectation lies, how much forecaster disagreement exists, and which outcome is attracting the most market attention.