Put stakes on your beliefs — even hypothetically

Ask: "Would I bet on this?" to separate genuine confidence from performed confidence.

Why it works

Hypothetical betting makes the difference between genuine and performed confidence immediately visible. People who say they are certain of a claim but would not bet at meaningful odds are revealing motivated overconfidence. The betting question bypasses the social norm of asserting certainty and forces contact with actual epistemic state. Galef uses this as a quick self-calibration tool: if the odds feel uncomfortable, the confidence was inflated.

How to do it

1. For any important belief, ask: "Would I bet $100 that this is true at 2:1 odds? At 10:1?"
2. If the bet feels uncomfortable at modest odds, that discomfort is information about your actual confidence.
3. Adjust your stated confidence accordingly — not to the stakes, but to what the stakes reveal about your real estimate.

Evidence

Incentivized belief elicitation (e.g., scoring rules) is a standard tool in forecasting research and decision theory for surfacing calibrated beliefs rather than stated ones. Forecasters scored with proper scoring rules show better calibration than those giving unconditional predictions. (observational)

The evidence is from formal forecasting contexts; whether the hypothetical betting question has the same calibrating effect in informal reasoning is a reasonable extrapolation, not a tested finding.

Sources

• Tetlock & Gardner (2015), Superforecasting — scoring rules and forecasting accuracy

Common mistake

Dismissing the uncomfortable bet feeling as "I just don’t like gambling" rather than recognizing it as a signal that the belief is less solid than it felt before the stakes were named.