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Reflecting on Predictions and Measuring Decisions
Self-assessment and accountability are crucial for improving decision-making. Many individuals fail to evaluate their predictions and decisions, despite the benefits of measuring outcomes. Suggesting formal assessment processes, such as documenting decisions and reviewing them later, often meets resistance due to a fear of accountability. A reflective approach to predictions can enhance one's understanding of patterns, as seen in the cycles of attitudes toward founders in Silicon Valley. The importance of distinguishing between aspirational predictions, which express a desire for certain outcomes, and extrapolative predictions, which are based on historical observations, underscores the need for a balanced perspective in forecasting trends and making decisions.