Coaching practices for Probability Accuracy
Describe almost anything you are working through and IX Coach finds the practices whose real-world fit is closest. For Probability 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
- Someone hands me a forecast that says 2.3% and that crisp little number makes me trust it way more than I should
- 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
- When I say I’m eighty percent sure I genuinely don’t know if that means anything
- I throw around words like “probably” and “pretty likely” and they mean nothing
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 - 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 - Maintain a scored prediction log
Record predictions with explicit probabilities and score them when they resolve.
Calibration Training - 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 - Think and communicate in explicit probabilities
Replace vague language ("probably," "likely") with numerical probabilities.
Superforecasting - Distinguish uncertainty (quantifiable) from ignorance (unquantifiable)
Know when you can assign a probability and when the situation is so novel that a number would be fabricated.
Calibration Training - Practice probability calibration
Regularly make probabilistic predictions and track your accuracy across many of them.
Hindsight Bias: Why Everything Seems Obvious in Retrospect - 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 - Forecast a distribution, not a point estimate
Represent your forecast as a range of likely outcomes, not a single predicted number.
Reference Class Forecasting - Practice confidence interval estimation
Estimate ranges for factual quantities and check how often the true value falls within your range.
Calibration Training
Related concerns
- Base Rate Confidence
Start your confidence estimate from the historical hit rate for this type of prediction, not from how confident you feel.
Anchor your confidence level on base rates, not gut feel
- Calibrated Confidence
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.
- When Bayesian Thinking Calibration Practice
Your "80% confident" beliefs should come true about 80% of the time — check that they do.
Practice calibration by tracking your confidence predictions
- Calibrated Uncertainty Ranges
Estimate ranges for factual quantities and check how often the true value falls within your range.
Practice confidence interval estimation
- Confidence Interval Training
Estimate ranges for factual quantities and check how often the true value falls within your range.
- Confidence Intervals Estimation
Estimate ranges for factual quantities and check how often the true value falls within your range.
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