Distributions
Reasoning in distributions — ranges and probabilities — rather than points.
"Single-point forecasts are statements of preference, not knowledge."
What is Distributions? Reasoning in distributions — ranges and probabilities — rather than points. Strategic decisions made on means hide tail risks.
Revenue forecasts as P50/P90 ranges rather than single numbers.
Strategic decisions made on means hide tail risks.
Require distribution-shaped forecasts on every major call.
Use the model. Pick the move.
Reasoning in distributions — ranges and probabilities — rather than points. You've just seen this: Revenue forecasts as P50/P90 ranges rather than single numbers. Which lever does the model recommend?
Pick a lever. There are no neutral ones — every incentive funds a behavior somewhere.
Pick a reaction to Distributions
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 Distributions 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 Distributions most often show up unnoticed?
- Which metric, ritual, or contract clause quietly rewards Distributions?
- If we removed every payoff for Distributions, what behavior would replace it?
- Who benefits when Distributions persists — and who pays the cost?
- People defend the status quo using the language of distributions.
- 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 Distributions through 2 lenses
Each layer of the Incentives OS reframes this concept with its own thinkers, vocabulary, and diagnostic question.
Do you actually know Distributions?
Three quick questions. Result is saved into your review streak — come back when the term is due to lock it in.
Which best describes Distributions?
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 Distributions, 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.
Wish → Outcome → Obstacle → Plan. A goal-setting protocol from Oettingen.
If it's 'natural,' it's good.
Federal oversight intended to protect tribal assets creates friction that devalues the land.
Updating beliefs too slowly when new evidence arrives.
We dismiss the ideas and merits of people we dislike.
Errors in reasoning that undermine the logic of an argument.
Repeated stimuli produce diminishing response.
Customers hire products to do a job in their life.
Changing success criteria whenever the prior criteria are met.
A relationship where a small number of inputs account for most outputs.
Technologies grow slowly, then explode, then plateau.
The fine-grained sensory qualities of internal experience — brightness, distance, volume, location.