Why prediction not always accurate?

Predictions are not always accurate due to inherent uncertainties in the data and the complexity of the systems being analyzed. Factors such as incomplete information, random events, and changes in underlying patterns can lead to discrepancies between predicted and actual outcomes. Additionally, models may rely on assumptions that don't hold true in real-world scenariOS, further affecting accuracy. Lastly, human bias in data interpretation can also skew predictions.