Confusing Map For Reality

This distinction matters because people routinely confuse their models for reality. They decide based on what the model predicts rather than what the situation actually demands. When the model misses something critical — and every model eventually does — the cost can be severe.

Financial models predicted that housing prices would not fall nationwide. Military models assumed a quick victory in conflicts that dragged on for years. In both cases, decision-makers trusted the map more than the territory and were blindsided by the gap.

The fix is not to abandon models but to test them. Ask: what would have to be true for my model to be wrong?