Insensitivity to Sample Size
We ignore sample size when judging probability.
"A five-star review from two customers is not the same as from two thousand."
What is Insensitivity to Sample Size? We ignore sample size when judging probability. Small samples produce noisy conclusions.
A small pilot is treated as definitive proof.
Small samples produce noisy conclusions.
Require confidence intervals and sample-size reasoning.
Use the model. Pick the move.
We ignore sample size when judging probability. You've just seen this: A small pilot is treated as definitive proof. Which lever does the model recommend?
Pick a lever. There are no neutral ones — every incentive funds a behavior somewhere.
Pick a reaction to Insensitivity to Sample Size
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The full taxonomy entry
Every concept in the Atlas uses the same structure — so Insensitivity to Sample Size 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 Insensitivity to Sample Size most often show up unnoticed?
- Which metric, ritual, or contract clause quietly rewards Insensitivity to Sample Size?
- If we removed every payoff for Insensitivity to Sample Size, what behavior would replace it?
- Who benefits when Insensitivity to Sample Size persists — and who pays the cost?
- People defend the status quo using the language of insensitivity to sample size.
- 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 Insensitivity to Sample Size through 2 lenses
Each layer of the Incentives OS reframes this concept with its own thinkers, vocabulary, and diagnostic question.
Do you actually know Insensitivity to Sample Size?
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Which best describes Insensitivity to Sample Size?
Worked example, counter-example & concept map
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When you encounter Insensitivity to Sample Size, 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.
Ignoring general statistics in favor of specific, vivid information.
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.
What an environment offers an actor for action — handles to grip, surfaces to sit on, paths to follow.
Adopting beliefs because the room already did.
The rate at which customers (or employees) leave over a period.
The threshold at which a system becomes self-sustaining.
The whole has properties that the individual parts do not.
Asking 'why' repeatedly to trace a problem to its root cause.
Threats to identity activate strong defensive responses.
Greedy improvement loops climb hills that aren't the highest hill.
Every yes is a no to everything else competing for that hour, dollar, or slot.
A behavioral relaxation of Nash: players choose better strategies more often, but not always — errors are smooth, not binary.
Profit pools concentrate around treating chronic illness, not preventing it.
Earned authority from publishing original frameworks that other operators adopt as their own.