Toronto's weather on May 18 offers a transparent opportunity to see how prediction markets price verifiable natural phenomena. The three markets here focus on a single question examined from three angles: will the highest temperature that day reach specific thresholds? Market A asks whether it will be 22°C or below; Market B targets exactly 23°C; Market C targets exactly 24°C. Rather than asking broad forecasting questions like "will it be warm?", these granular markets zone in on the precise probability distribution across temperature bands. This bundling reveals how the market collectively views the likelihood of each outcome. When examining prices, remember that higher prices indicate higher probability. If you see the 22°C-or-below market trading at 35% and the 23°C market at 45%, the market is expressing specific views about which temperature bracket is most probable. Weather forecasts are particularly dynamic; meteorological consensus can shift meaningfully as the week progresses and new data arrives. These markets capture that evolving probability in real time. The comparison across multiple markets also illuminates market depth and opinion distribution—sometimes consensus is tight and confident, other times prices are spread, signaling genuine uncertainty about the outcome. You might use this bundle to test your own forecast against the crowd's judgment, observe how sentiment shifts day by day, or simply understand how prediction markets price transparent, objectively verifiable events. The outcome will be determined by official Environment Canada data recorded on May 18, making this scenario one of the clearest and most straightforward prediction market scenarios available.