Coaching practices for Forecasting Accuracy Practice

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

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

• When a prediction of mine blows up, I either spiral into thinking the whole thing is pointless or I just shrug and forget it
• Each project wraps up and I move straight on without ever writing down what I’d guessed versus what actually happened
• 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?
• I make calls about how things will go all the time, but I never write them down or check them after
• I commit to one confident number

Practices that may help

1. Treat forecasting accuracy as a skill that improves with practice
   Take prediction errors as performance feedback, not as proof that forecasting is futile.
   Superforecasting
2. Conduct post-project debriefs to contribute to the class data
   Record actual vs. forecast outcomes honestly — this builds the reference class that future forecasts depend on.
   Reference Class Forecasting
3. Practice probability calibration
   Regularly make probabilistic predictions and track your accuracy across many of them.
   Hindsight Bias: Why Everything Seems Obvious in Retrospect
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. Calibration practice
   Predict your performance before each retrieval test, then compare prediction to outcome.
   Self-Regulated Learning: Taking Control of How You Learn
6. Forecast a distribution, not a point estimate
   Represent your forecast as a range of likely outcomes, not a single predicted number.
   Reference Class Forecasting
7. 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
8. Reference Class Forecasting
   Reference class forecasting, developed by Daniel Kahneman and Amos Tversky and formalized by Bent Flyvbjerg, improves forecast accuracy by anchoring on the statistical distribution of outcomes for similar past projects rather than on the details of the current one. The method reliably corrects the optimism bias that inflates cost, time, and benefit estimates in planning — the evidence base here is real and specific.
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. 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

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