Karachi's weather on May 5 is the subject of three interconnected prediction markets that enable participants to assess the probability of different temperature outcomes. As Pakistan's largest city experiences seasonal heat fluctuations, these markets aggregate real-time assessments from thousands of participants who research meteorological data, historical weather patterns, and regional climate dynamics. The three related questions—whether the high temperature will reach 28°C or below, 31°C, or 33°C—map out a spectrum of possible outcomes for the day. By examining the prices of each prediction, you can observe how market participants collectively weight the likelihood of each scenario. Prices function as probability estimates: higher prices indicate stronger market consensus that an outcome is more probable, while lower prices reflect participant skepticism about that outcome's likelihood. These markets work as a crowdsourced forecasting mechanism, incentivizing participants to research thoroughly and express their genuine expectations about the weather event. The aggregate wisdom of diverse forecasters often produces remarkably accurate predictions, which is why prediction markets have become valuable tools for understanding where informed opinion stands on uncertain future events. When reading the prices below, remember that each market is independent, yet all three reflect collective sentiment about the same underlying event—Karachi's maximum temperature on May 5. If you believe the actual outcome will differ materially from market consensus, you have the opportunity to take a position reflecting your own research and analysis. Temperature prediction markets serve particularly practical value for agricultural businesses, event planners, and traders in weather-sensitive commodities who depend on accurate forecasting. For observers simply interested in how crowds approach forecasting, these markets offer transparent insight into what thousands of participants collectively expect to happen.