Coaching practices for Confidence Prediction Tracking
Describe almost anything you are working through and IX Coach finds the practices whose real-world fit is closest. For Confidence Prediction Tracking, these are the strongest matches in the current practice library.
Does this sound like the set of challenges you might be facing?
- I’m sure about things constantly and I have no idea if that confidence is earned
- I make calls all the time but I never write them down or check them later, so my confidence is just a feeling that floats free
- I make calls about how things will go all the time, but I never write them down or check them after
- When a prediction of mine blows up, I either spiral into thinking the whole thing is pointless or I just shrug and forget it
- 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
Practices that may help
- 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 - Maintain a scored prediction log
Record predictions with explicit probabilities and score them when they resolve.
Calibration Training - Score your own past predictions to calibrate your outside-view use
Keep a forecast log and score it — you cannot improve calibration without feedback on where you were over- or under-confident.
The Outside View - Treat forecasting accuracy as a skill that improves with practice
Take prediction errors as performance feedback, not as proof that forecasting is futile.
Superforecasting - 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 - Practice probability calibration
Regularly make probabilistic predictions and track your accuracy across many of them.
Hindsight Bias: Why Everything Seems Obvious in Retrospect - Calibration practice
Predict your performance before each retrieval test, then compare prediction to outcome.
Self-Regulated Learning: Taking Control of How You Learn - Calibration 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. - 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 - Superforecasting
Philip Tetlock’s forecasting tournament research found that a subset of ordinary people — "superforecasters" — consistently outperform domain experts and intelligence analysts at probabilistic prediction. They share measurable cognitive and behavioral habits: they think in probabilities, update frequently on evidence, and actively seek disconfirming information. These habits are learnable.
Related concerns
- Prediction Accuracy Tracking
Assign explicit probability estimates to your predictions and track whether they come true at the right rate.
Practice probabilistic calibration by tracking your predictions
- 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.
- Forecast Scoring Calibration
Keep a forecast log and score it — you cannot improve calibration without feedback on where you were over- or under-confident.
Score your own past predictions to calibrate your outside-view use
- Forecasting 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 Improve Predictions
Take prediction errors as performance feedback, not as proof that forecasting is futile.
Treat forecasting accuracy as a skill that improves with practice
- Prediction Accuracy
Assign explicit probability estimates to your predictions and track whether they come true at the right rate.
Describe your situation in your own words to search the complete practice library.