Heuristic

A mental shortcut or rule of thumb that simplifies complex decisions into manageable judgments—producing quick, usually-good-enough answers without exhaustive analysis. 'Buy what you know' (investing heuristic). 'Hire people smarter than you' (management heuristic). 'If in doubt, don't' (risk heuristic). Heuristics evolved because bounded rationality makes optimization impossible for most real-world decisions. Gigerenzer's research shows that in many environments, simple heuristics OUTPERFORM complex models because they're robust to noise and don't overfit to irrelevant patterns. The question isn't whether to use heuristics—you always do—but which heuristics to use when.

When to use it

When decisions need to be made quickly without full information; when the cost of thorough analysis exceeds the benefit of a better decision; when building decision frameworks for teams that need consistent, fast judgment; when teaching domain expertise through transmissible rules of thumb.

How it can help

Build a personal library of tested heuristics for your domain—rules that produce good decisions most of the time without requiring full analysis. For hiring: 'would I want to work FOR this person?' For investments: 'do I understand how this makes money?' For priorities: 'if I could only do one thing today, what would it be?' Good heuristics are simple, domain-appropriate, and tested against outcomes. Bad heuristics are complex, borrowed from wrong domains, or untested. Regularly evaluate your heuristics against actual outcomes and update or discard those that aren't performing.