Coaching practices for Prediction Accuracy

Describe almost anything you are working through and IX Coach finds the practices whose real-world fit is closest. For Prediction Accuracy, 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
  • 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 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
  • Someone hands me a forecast that says 2.3% and that crisp little number makes me trust it way more than I should
  • I want to actually know whether my gut is any good — when I feel sure about something, am I right that often, or am I just confident?

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. 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.
  3. Treat forecasting accuracy as a skill that improves with practice
    Take prediction errors as performance feedback, not as proof that forecasting is futile.
    Superforecasting
  4. Maintain a scored prediction log
    Record predictions with explicit probabilities and score them when they resolve.
    Calibration Training
  5. Calibration practice
    Predict your performance before each retrieval test, then compare prediction to outcome.
    Self-Regulated Learning: Taking Control of How You Learn
  6. Beware false precision in forecasts and models
    Treat any precise probability or quantitative forecast with explicit suspicion about whether the model fits the domain.
    The Ludic Fallacy: When You Mistake Real Life for a Game
  7. Practice probability calibration
    Regularly make probabilistic predictions and track your accuracy across many of them.
    Hindsight Bias: Why Everything Seems Obvious in Retrospect
  8. Pre-commit to resolution criteria before making a prediction
    Define exactly what counts as "I was right" before the outcome happens.
    Calibration Training
  9. Separate motivational optimism from your forecast
    Let your ambition be honest about what it is — a desired outcome — without contaminating your probability estimate.
    The Outside View
  10. 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

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