State your prior probability before seeing the evidence
Before looking at any data, commit to a numerical estimate of how likely something is.
Why it works
Naming a prior before seeing evidence does two things: it makes the subsequent update visible (you can see how far you moved), and it forces you to confront base rates — the background frequency of an event — rather than reasoning only from the case at hand. Research on base rate neglect shows that people systematically ignore background frequencies when case-specific information is available; a stated prior anchors them.
How to do it
- Before examining any new evidence, ask: "What is the base rate for this type of thing?"
- State a number: "I think there is roughly a 20% chance this is true before I look at any evidence."
- Write it down — a mental estimate evaporates under the pressure of incoming evidence.
- Only then look at the evidence, so you can measure how much it actually moves you.
Evidence
Base rate neglect is one of the most replicated findings in judgment research — people reliably underweight background frequencies when presented with individuating case information. Bar-Hillel’s work isolated when the effect is strongest: individuating information dominates precisely when people judge it relevant to the case, even when the base rate is the more diagnostic input. (rct)
The prior-setting habit as a practical countermeasure is widely endorsed in rationality training but has fewer direct experimental tests than the bias it targets.
Sources
- Kahneman & Tversky (1973), on the psychology of prediction, Psychological Review
- Kahneman, D., & Tversky, A. (1973). On the psychology of prediction. Psychological Review, 80(4), 237-251.
- Bar-Hillel, M. (1980). The base-rate fallacy in probability judgments. Acta Psychologica, 44(3), 211-233.
Common mistake
Setting a "prior" after glancing at the evidence, then believing you are reasoning from base rates when you are actually reasoning from the evidence twice.
Practice this with IX Coach
More practices for Bayesian Thinking: How to Update Beliefs Rationally
- Update beliefs incrementally, not all at once
New evidence should shift your probability somewhat — rarely from 5% to 95% in one step.
- Evaluate evidence by its likelihood ratio, not by how it makes you feel
Ask how much more likely this evidence would be if you’re right versus if you’re wrong.
- Practice calibration by tracking your confidence predictions
Your "80% confident" beliefs should come true about 80% of the time — check that they do.
- Actively seek evidence that would disconfirm your belief
Ask: "What would change my mind?" and then look for exactly that.
- Use reference classes to ground personal estimates in base rates
Before estimating how your situation will unfold, find similar past situations and check what happened.
- Translate beliefs into bets to reveal your true confidence
Would you bet $100 on that belief at even odds? The answer often reveals the gap between claimed and actual confidence.
Related concepts
- Thinking, Fast and Slow, Made Usable
Two systems, the biases they create, and when to slow down
- Mental Models: Charlie Munger’s Latticework Approach
Building the multi-disciplinary toolkit that lets you see what single-discipline thinkers miss
- Confirmation Bias: Seeing What You Expect to See
The most pervasive cognitive bias and the practices that actually chip away at it
- Expected Value Thinking: Deciding Under Uncertainty
The math of rational choice under uncertainty, its real limits, and how to use it anyway