Decision-Making Under Uncertainty

What is deciding in the fog?

Deciding under uncertainty is the skill of making good calls when perfect information will never arrive — which is nearly always. Its core moves: judge decisions by process rather than outcome, think in probabilities and expected value, and match your speed to whether the choice is reversible.

Why it matters

Waiting for certainty is itself a decision, and usually the worst one: the option expires, the competitor moves, the fog never lifts. People who decide well in fog aren't braver — they've learned that a good process beats a lucky outcome, and that most decisions are two-way doors you can walk back through.

An example

Jeff Bezos's rule: if a decision is reversible, make it fast with about 70% of the information you wish you had; if it's irreversible, slow down. Most people invert this — agonizing over reversible choices and rushing the irreversible ones.

Try a real drill

This is how Too Hard Pile trains it — a real scenario where you commit to an answer before anything is revealed:

How to practice it

For your next stuck decision, first ask: can I undo this? If yes, decide today and treat it as an experiment. Too Hard Pile drills deciding-in-fog scenarios, and its free Decision Toolbox includes expected-value and two-way-door tools for real decisions.

Reading about mental models doesn't build the reflex — reps do. Too Hard Pile schedules each drill back with spaced repetition until the model fires on its own, mid-decision, when you actually need it.