Calibration Training

Building the feedback loop between confidence and accuracy

How to train well-calibrated confidence

Calibration training teaches you to match your stated confidence levels to your actual accuracy: if you say "70% confident," roughly 70% of those claims should turn out to be correct. Tetlock’s forecasting research and probability training studies show calibration is trainable with practice and feedback — the evidence here is specific and replicable.

Most people are poorly calibrated in a specific direction: overconfident in domains where they feel competent, underconfident in new ones, and systematically bad at expressing rare-event probabilities. Calibration training is the deliberate practice of measuring the gap between stated confidence and actual accuracy, then closing it with feedback. It is not about being uncertain — it is about being accurately uncertain. Below are the practices that make the training work.

Practices

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Related concepts

How this pairs with other practices