Expected Utility (vs. Expected Value)
Decisions optimize utility, not value.
"$1M to a billionaire is not $1M to a startup."
What is Expected Utility (vs. Expected Value)? Decisions optimize utility, not value. Why two rational actors can disagree on the same EV.
Risk aversion in capital allocation.
Why two rational actors can disagree on the same EV.
Factor utility curves into decision frameworks for big bets.
Use the model. Pick the move.
Decisions optimize utility, not value. You've just seen this: Risk aversion in capital allocation. Which lever does the model recommend?
Pick a lever. There are no neutral ones — every incentive funds a behavior somewhere.
Pick a reaction to Expected Utility (vs. Expected Value)
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The full taxonomy entry
Every concept in the Atlas uses the same structure — so Expected Utility (vs. Expected Value) 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 Expected Utility (vs. Expected Value) most often show up unnoticed?
- Which metric, ritual, or contract clause quietly rewards Expected Utility (vs. Expected Value)?
- If we removed every payoff for Expected Utility (vs. Expected Value), what behavior would replace it?
- Who benefits when Expected Utility (vs. Expected Value) persists — and who pays the cost?
- People defend the status quo using the language of expected utility (vs. expected value).
- 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 Expected Utility (vs. Expected Value) through 3 lenses
Each layer of the Incentives OS reframes this concept with its own thinkers, vocabulary, and diagnostic question.
Do you actually know Expected Utility (vs. Expected Value)?
Three quick questions. Result is saved into your review streak — come back when the term is due to lock it in.
Which best describes Expected Utility (vs. Expected Value)?
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 Expected Utility (vs. Expected Value), 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.
How will I feel about this in 10 minutes / 10 months / 10 years?
Inattention or forgetfulness caused by low attention, hyperfocus, or distraction.
Predicting how we will feel in the future, usually inaccurately.
Forgetting to compare an offer with the next-best alternative.
Outcomes that could have happened but did not.
Overthinking a situation so that decision-making stalls.
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 act in ways that confirm 'people like me do things like this.'
Optimizing in a small region while missing a better global solution.
The value of the next-best thing you could have done.
High expectations produce higher performance.
A quick fix relieves the symptom but atrophies the system's capacity to address the real cause.
A controlled scenario, often impossible, used to isolate a variable and test an intuition or theory.
Innovators → early adopters → majority → laggards, AI-specific.
Reduced vigilance with automated systems.
Don't remove something until you understand why it was put there.
Fixed costs don't scale with output; variable costs do.
Self-control draws from a limited daily pool. (Contested in lab; observed in life.)
Decompose a problem into estimable parts; multiply through.