Using probability estimates can improve forecasting accuracy from "summary" of Superforecasting by Philip E. Tetlock,Dan Gardner
The idea that probability estimates can enhance forecasting accuracy is a powerful one. By incorporating probabilities into our predictions, we are able to capture the inherent uncertainty of the future. This allows us to make more nuanced and realistic forecasts that take into account all possible outcomes, rather than relying on simplistic binary predictions. When we use probability estimates, we are forced to confront our own uncertainty and ignorance. We are forced to consider the likelihood of different outcomes and weigh them accordingly. This helps us to avoid overconfidence and the pitfalls of overly certain forecasting. By using probability estimates, we are also able to make more precise and refined predictions. Instead of making vague, qualitative forecasts, we can assign specific probabilities to different outcomes. This allows us to be more granular in our assessments and to better calibrate the likelihood of different events occurring. Furthermore, probability estimates can help us to continuously update our forecasts as new information becomes available. By assigning probabilities to different outcomes, we are able to track the changing likelihood of each event occurring and adjust our predictions accordingly. This flexibility and adaptability are crucial in a fast-moving and uncertain world.- Incorporating probability estimates into our forecasting process can lead to more accurate and reliable predictions. By acknowledging the uncertainty of the future, considering all possible outcomes, making more precise assessments, and continuously updating our forecasts, we can improve our ability to anticipate and prepare for what lies ahead.
