Inequity Aversion (Fehr-Schmidt)
People sacrifice payoff to punish unfair distributions — even unfairness that benefits them produces guilt-style discomfort.
"Humans will pay real money to make sure a jerk gets nothing."
What is Inequity Aversion (Fehr-Schmidt)? People sacrifice payoff to punish unfair distributions — even unfairness that benefits them produces guilt-style discomfort. Comp design, customer pricing fairness, partner revenue splits.
Ultimatum game rejections of substantial 'unfair' offers across cultures.
Comp design, customer pricing fairness, partner revenue splits.
Audit visible ratios, not just absolute amounts. People compare.
Use the model. Pick the move.
People sacrifice payoff to punish unfair distributions — even unfairness that benefits them produces guilt-style discomfort. You've just seen this: Ultimatum game rejections of substantial 'unfair' offers across cultures. Which lever does the model recommend?
Pick a lever. There are no neutral ones — every incentive funds a behavior somewhere.
Pick a reaction to Inequity Aversion (Fehr-Schmidt)
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The full taxonomy entry
Every concept in the Atlas uses the same structure — so Inequity Aversion (Fehr-Schmidt) 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 Inequity Aversion (Fehr-Schmidt) most often show up unnoticed?
- Which metric, ritual, or contract clause quietly rewards Inequity Aversion (Fehr-Schmidt)?
- If we removed every payoff for Inequity Aversion (Fehr-Schmidt), what behavior would replace it?
- Who benefits when Inequity Aversion (Fehr-Schmidt) persists — and who pays the cost?
- People defend the status quo using the language of inequity aversion (fehr-schmidt).
- 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 Inequity Aversion (Fehr-Schmidt) through 4 lenses
Each layer of the Incentives OS reframes this concept with its own thinkers, vocabulary, and diagnostic question.
- Layer 6Evolutionary Psychology
What ancestral instinct is being triggered?
- Layer 8Organizational Psychology
What is the org actually rewarding — versus claiming to reward?
- Layer 15AI & Alignment
What proxy reward is the AI optimizing — and what is it ignoring?
- Layer 21Mental Models & Mastery
Which model — or stack of models — are we missing here?
Do you actually know Inequity Aversion (Fehr-Schmidt)?
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Which best describes Inequity Aversion (Fehr-Schmidt)?
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 Inequity Aversion (Fehr-Schmidt), your default mode network folds the experience into your ongoing story-of-self — which is why the same fact lands differently depending on who you think you are.
Self-referential thought, mind-wandering, narrative-of-self, mental time travel. Most of your waking thought is this network running scenarios about you, your status, your past, and your future.
See Default Mode in the Brain Atlas →Picked for you, from the Atlas
Ranked by shared learning paths, overlapping chips, and what you've saved.
A group decides on a course of action that nobody actually wants, because everyone assumes others prefer it.
Power tends to corrupt, and absolute power corrupts absolutely.
We attribute our own actions to situations but others' actions to their character.
We favor people who are similar to us or who like us.
Sacrificing for others without expecting a personal reward.
Masking the sponsors of a message to make it appear grassroots.
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.
In quantum mechanics, certain pairs of properties cannot both be precisely known.
We climb from raw data to action through selection, meaning-making, and assumption — usually invisibly.
Rick Hanson: 'Velcro for negative, Teflon for positive.' The brain encodes threats faster and stickier than rewards.
Positive self-evaluation tied to recognized achievement.
Funding rules force districts to add sugary sides to hit caloric minimums.
Generated training data that mimics real data.
'Free' is a different psychological category — disproportionately attractive.
Exploiting price differences between markets for risk-free profit.
Candidates dependent on large donors become structurally responsive to donor priorities over voter priorities.
Psychological distance shifts thinking between abstract and concrete.
Multitasking measurably degrades performance.
Correlation does not imply causation.