Make your beliefs precise enough to be wrong

Vague claims cannot be falsified — sharpen your belief until it can be.

Why it works

Vagueness is an escape hatch: a claim that says "X tends to help" or "Y is important" is almost impossible to falsify because every negative result can be accommodated by adjusting the scope. Precision forces honesty: "X reliably produces Y in conditions A and B but not C" is falsifiable by observing conditions A, B without Y. The discomfort of precision is itself useful — it surfaces the degree to which the belief is a real commitment versus a hedged posture.

How to do it

1. Take a belief and remove all its hedges: instead of "probably," "tends to," "in some cases" — make the strongest version.
2. Now ask: is the precise version true? If not, what is the most precise version that is?
3. State the belief with its conditions of application explicitly ("X causes Y when Z, not otherwise").

Evidence

Precision in hypotheses is a methodological standard in scientific reasoning; operationalizing vague constructs forces clarity and has been central to the replication-crisis literature, which identified vague hypotheses as a driver of non-replicable findings. (mechanistic)

Requiring precision is a normative standard; the practical challenge is that many real-world phenomena are genuinely complex and resist simple, precise formulation.

Common mistake

Making the claim precise in a post-hoc way — after seeing data — so the precision feels like a prediction but is actually a retrodiction. Precision must come before the evidence.