Base Rate Fallacy
Ignoring general statistics in favor of specific, vivid information.
"The forest is full of oaks; you are still describing one leaf."
What is Base Rate Fallacy? Ignoring general statistics in favor of specific, vivid information. Base rates are the most underused tool in executive hiring.
A 'perfect' candidate is hired despite a low base rate of success in that role.
Base rates are the most underused tool in executive hiring.
Start every prediction with the base rate, then adjust.
Use the model. Pick the move.
Ignoring general statistics in favor of specific, vivid information. You've just seen this: A 'perfect' candidate is hired despite a low base rate of success in that role. Which lever does the model recommend?
Pick a lever. There are no neutral ones — every incentive funds a behavior somewhere.
Pick a reaction to Base Rate Fallacy
One tap. We'll point you at the most useful next surface based on how this hits.
The full taxonomy entry
Every concept in the Atlas uses the same structure — so Base Rate Fallacy can be compared, recombined, and cited like an element on a periodic table.
- Business
- Leadership
- Government
- Healthcare
- Education
- Sales
- Marketing
- AI
- Negotiation
- Media
- Public Policy
- Relationships
- Where in our org would Base Rate Fallacy most often show up unnoticed?
- Which metric, ritual, or contract clause quietly rewards Base Rate Fallacy?
- If we removed every payoff for Base Rate Fallacy, what behavior would replace it?
- Who benefits when Base Rate Fallacy persists — and who pays the cost?
- People defend the status quo using the language of base rate fallacy.
- Decisions cluster around the easiest narrative rather than the strongest evidence.
- New data changes the slide deck but not the decision.
- Anyone naming the pattern is treated as the problem.
Every Atlas entry is a node in a knowledge graph. See the related rail below to follow the connections.
See Base Rate Fallacy through 2 lenses
Each layer of the Incentives OS reframes this concept with its own thinkers, vocabulary, and diagnostic question.
Do you actually know Base Rate Fallacy?
Three quick questions. Result is saved into your review streak — come back when the term is due to lock it in.
Which best describes Base Rate Fallacy?
Worked example, counter-example & concept map
On-demand AI analysis grounded in the Lab's research. Cached on your device after first run.
When you encounter Base Rate Fallacy, your prefrontal cortex has to do extra work to override the automatic response — and that override budget is finite.
Executive control, planning, impulse override, working memory, System 2. First thing to go offline under stress, fatigue, or low blood sugar. Why your 4pm decisions are worse than your 9am ones.
See Prefrontal in the Brain Atlas →Picked for you, from the Atlas
Ranked by shared learning paths, overlapping chips, and what you've saved.
We judge frequency by how easily examples come to mind.
Posterior = (likelihood × prior) / evidence.
Update beliefs in proportion to the strength of new evidence.
Start with a prior; update with new evidence.
Novices experiencing early success, often due to variance and small samples.
High-impact, hard-to-predict, retrospectively explainable events.
Send the card, not just the link
A pre-rendered social card with the title, eyebrow, and URL. Copy the link, post it anywhere, or download the SVG for slides.
More definitions to follow
Every term in the Atlas connects to a dozen others. Pick any of these and see where it takes you.
We ignore sample size when judging probability.
Neurons that fire both when acting and when observing the action.
The moment after which reversing a course becomes impossible or extremely costly.
Frequency and variability of reward shape behavior strongly.
Brain weights existing state heavily.
Demand rises with price because the price itself signals status.
Preferring options with known probabilities over options with unknown ones.
Allocating finite resources across many fronts when the opponent does the same — no dominant strategy exists.
Specialize in what you give up the least to do.
Quietly redefining a term mid-argument.
Evaluation suites that no longer reflect real-world conditions.
Experts believe news articles outside their field despite knowing their own field is misreported.