Coaching practices for Prediction Accuracy Tracking

Describe almost anything you are working through and IX Coach finds the practices whose real-world fit is closest. For Prediction Accuracy 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 call myself good at reading how things will go in my field, but when I’m honest I only ever remember the calls I got right
• 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

Practices that may help

1. 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
2. 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
3. Maintain a scored prediction log
   Record predictions with explicit probabilities and score them when they resolve.
   Calibration Training
4. 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
5. Treat forecasting accuracy as a skill that improves with practice
   Take prediction errors as performance feedback, not as proof that forecasting is futile.
   Superforecasting
6. Practice probability calibration
   Regularly make probabilistic predictions and track your accuracy across many of them.
   Hindsight Bias: Why Everything Seems Obvious in Retrospect
7. Calibration practice
   Predict your performance before each retrieval test, then compare prediction to outcome.
   Self-Regulated Learning: Taking Control of How You Learn
8. 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
9. 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.
10. 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.

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