Coaching practices for Failure Base Rate

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

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

• When I look for examples of people who did what I’m about to do, all I find are the success stories
• I keep hearing about the handful of people this worked out for and it’s pulling me in
• One story has completely sold me on something and I’m about to act on it
• I’m about to make a real decision based on a gut sense that this kind of thing happens "all the time," and I’ve just realized I have no idea how often it actually happens
• 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

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. 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
3. Always identify the denominator when evaluating risk or success
   When a number or story is striking, ask: "Out of how many total cases?"
   Base-Rate Neglect: Why We Ignore the Odds
4. 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
5. Check the actual base rate before trusting your intuitive estimate
   When an event feels common or rare, look up how often it actually happens.
   The Availability Heuristic: Why Memorable Feels Probable
6. 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.
7. 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
8. Behavioral Chain Analysis: The DBT Method for Understanding Problem Behaviors
   Behavioral chain analysis (BCA), a core DBT skill developed by Marsha Linehan, maps every link in the chain of events — from the original vulnerability through the triggering event, thoughts, feelings, and actions — that led to a problem behavior. By making the chain visible, BCA reveals multiple points where the sequence could have been broken, turning a post-hoc autopsy into a concrete prevention plan.
9. Use reference class forecasting for project estimates
   Estimate how long similar projects have taken historically before estimating your specific project.
   Base-Rate Neglect: Why We Ignore the Odds
10. Anchor on base rates before adding details
    Start with how common the outcome is in the relevant population, then update — don’t start with the story.
    The Conjunction Fallacy — When "More Details" Feels More Likely

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