Coaching practices for Calibration Tracking Decisions

Describe almost anything you are working through and IX Coach finds the practices whose real-world fit is closest. For Calibration Tracking Decisions, these are the strongest matches in the current practice library.

Does this sound like the set of challenges you might be facing?

  • I make calls about how things will go all the time, but I never write them down or check them after
  • My real decisions take months to resolve and matter too much for me to score them honestly, so I never get clean reps
  • 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’m sure about things constantly and I have no idea if that confidence is earned

Practices that may help

  1. 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
  2. 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.
  3. Build calibration reps with low-stakes trivia and almanac questions
    Use factual trivia questions as a practice ground for calibration — outcomes resolve immediately and the stakes are zero.
    Calibration Training
  4. 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
  5. Identify the specific domains where you are most overconfident
    Calibration is domain-specific — find where your confidence most exceeds your accuracy.
    Calibration Training
  6. 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
  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. 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
  9. Maintain a scored prediction log
    Record predictions with explicit probabilities and score them when they resolve.
    Calibration Training
  10. Maintain a clear, stable reference point for what good performance looks like
    A feedback loop requires a target — without a stable reference point, data is just noise.
    Feedback Loops and Behavior Change

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