Make bold predictions — then check them
State a specific, testable prediction about the future and record it before you see the outcome.
Key takeaways
- What it is: State a specific, testable prediction about the future and record it before you see the outcome.
- Why it works: Popper favored bold, highly specific predictions because they carry high falsification risk — they are easy to prove wrong, so surviving them is genuinely informative. Vague predictions survive almost any outcome; bold ones do not. Making predictions in advance and tracking them also builds the feedback loop that calibration requires: without records, outcomes are absorbed into narrative and the real hit rate is invisible.
- Evidence: Backed by observational / correlational evidence.
- Avoid: Making a bold prediction and then, when it fails, redefining what you predicted — "I didn’t mean literally by that date" — which converts a falsifiable prediction into an unfalsifiable one.
Why it works
Popper favored bold, highly specific predictions because they carry high falsification risk — they are easy to prove wrong, so surviving them is genuinely informative. Vague predictions survive almost any outcome; bold ones do not. Making predictions in advance and tracking them also builds the feedback loop that calibration requires: without records, outcomes are absorbed into narrative and the real hit rate is invisible.
How to do it
- 1Before acting on a belief, write a specific prediction: "If X is true, then Y will happen by [date]."
- 2Set a reminder to review the outcome at the specified time.
- 3Score the prediction as accurate, partially accurate, or wrong.
- 4Adjust the confidence in the underlying belief based on the score.
What the evidence says
ObservationalPrediction scoring (Brier scores, calibration metrics) is the empirical method behind the Good Judgment Project and prediction markets. Forecasters who track and score predictions show measurably better calibration over time.
Honest caveat: Benefits depend on honest scoring; selective memory of successes and forgetting failures undermines the calibration loop entirely.
- — Tetlock & Gardner (2015), Superforecasting — prediction tracking and calibration improvement
Common mistake
Making a bold prediction and then, when it fails, redefining what you predicted — "I didn’t mean literally by that date" — which converts a falsifiable prediction into an unfalsifiable one.
IX Coach records your forward-looking predictions and surfaces them at the right time to review, creating an honest track record that makes your future predictions better calibrated.
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