Limits of Prediction

Limits of prediction refer to the inherent uncertainties and constraints in forecasting future events or outcomes. No matter how advanced our models or data are, there are always factors we can't fully account for—like unexpected changes or new information—that can affect accuracy. These limits highlight that predictions are probabilistic, not certainties, and emphasize the importance of understanding that forecasts come with a degree of uncertainty. Recognizing these boundaries helps manage expectations and informs better decision-making based on the best available, yet imperfect, information.