Coaching practices for Base Rate Prediction

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

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

• I build my estimate from my own optimistic story first and only glance at how long these things usually take at the very end as a sanity check
• I’m sure about things constantly and I have no idea if that confidence is earned
• When I look for examples of people who did what I’m about to do, all I find are the success stories
• One story has completely sold me on something and I’m about to act on it
• New information keeps arriving that should obviously move my estimate, but I just cling to the date I first committed to

Practices that may help

1. Base-Rate Neglect: Why We Ignore the Odds
   Base-rate neglect is the tendency to underweight or ignore prior probabilities (how often things happen in general) when vivid, specific information is available. Identified by Kahneman and Tversky, it is one of the most robustly replicated biases in judgment research, and it leads to systematic overconfidence in predictions about specific cases. Correcting it requires actively looking up or estimating base rates before evaluating individual information.
2. 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.
3. Anchor on the base rate before adding inside-view details
   Start your forecast from the class median, then adjust — do not start from your narrative and adjust to the base rate.
   Reference Class Forecasting
4. 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
5. Actively seek disconfirming cases
   When researching base rates, specifically look for cases where things went badly — failure cases are underrepresented in natural memory.
   The Outside View
6. Ask the base rate before evaluating the specific case
   Before judging any individual instance, first establish how often this kind of thing happens in general.
   Base-Rate Neglect: Why We Ignore the Odds
7. Update your forecast incrementally as new evidence arrives
   Treat your forecast as a probability that should shift with each new piece of evidence, not a commitment that survives contradiction.
   Reference Class Forecasting
8. 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
9. Maintain a scored prediction log
   Record predictions with explicit probabilities and score them when they resolve.
   Calibration Training
10. Defer heavily to base rates when entering a domain where you lack experience
    In unfamiliar territory, the class distribution should almost entirely govern the forecast.
    The Outside View

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