Coaching practices for Overconfidence Measurement
Describe almost anything you are working through and IX Coach finds the practices whose real-world fit is closest. For Overconfidence Measurement, these are the strongest matches in the current practice library.
Does this sound like the set of challenges you might be facing?
- The stuff I’m most certain I’ve nailed is exactly what blindsides me on the test
- I keep being so sure I’m right and then being wrong, and I have no way to see whether my confidence actually means anything
- There’s one area I consider myself an expert in, and that’s exactly where I’m most stubbornly sure and most often wrong
- I walk into every test sure I’ll do well and walk out shocked by the score
- When I say I’m eighty percent sure I genuinely don’t know if that means anything
Practices that may help
- Regression-to-mean awareness in JOLs
Discount your highest-confidence JOLs most — they are the most likely to be inflated.
Judgments of Learning: Why You Misjudge What You’ve Learned - Track your calibration across many predictions
Score your confidence levels against outcomes over dozens of predictions to find your systematic biases.
Decision Journaling: Learning to Decide Better Over Time - Identify the specific domains where you are most overconfident
Calibration is domain-specific — find where your confidence most exceeds your accuracy.
Calibration Training - Confidence-accuracy gap tracking
After each test, compute and record the gap between your predicted and actual scores.
Feeling of Knowing: Why Your Confidence Misleads You - Practice calibration by tracking your confidence predictions
Your "80% confident" beliefs should come true about 80% of the time — check that they do.
Bayesian Thinking: How to Update Beliefs Rationally - Pair confidence work with honest, accurate appraisal of your actual standing
Confidence without accurate self-assessment is overconfidence — the goal is calibrated self-belief, not boosted belief.
Power Posing Revisited - Maintain a scored prediction log
Record predictions with explicit probabilities and score them when they resolve.
Calibration Training - Track the accuracy of your domain predictions
Keep a record of what you predicted in your area of claimed expertise and score it.
The Dunning-Kruger Effect, Understood Clearly - Calibration practice
Predict your performance before each retrieval test, then compare prediction to outcome.
Self-Regulated Learning: Taking Control of How You Learn - Practice probabilistic calibration by tracking your predictions
Assign explicit probability estimates to your predictions and track whether they come true at the right rate.
Base-Rate Neglect: Why We Ignore the Odds
Related concerns
- Metacognitive Calibration Overconfidence
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.
- Confidence Accuracy Calibration
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.
- How To Calibrate 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.
- Overconfidence Training
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.
- Confidence Calibration
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.
- High Confidence Error Retention
Items you felt sure about but got wrong are retained especially well after correction — target these deliberately.
Prioritize items you were confidently wrong about
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