Reciprocal Altruism
Cooperation between unrelated agents when future reciprocity is likely.
"Today's favor is tomorrow's invoice."
What is Reciprocal Altruism? Cooperation between unrelated agents when future reciprocity is likely. B2B relationships run on long-arc reciprocity, not contracts.
Open-source contributions flow where reputation tracks the gift.
B2B relationships run on long-arc reciprocity, not contracts.
Models that 'remember' favors create stickier relationships than smarter ones.
Design for repeat interaction; reciprocity collapses in one-shot games.
Pick a reaction to Reciprocal Altruism
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The full taxonomy entry
Every concept in the Atlas uses the same structure — so Reciprocal Altruism 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 Reciprocal Altruism most often show up unnoticed?
- Which metric, ritual, or contract clause quietly rewards Reciprocal Altruism?
- If we removed every payoff for Reciprocal Altruism, what behavior would replace it?
- Who benefits when Reciprocal Altruism persists — and who pays the cost?
- People defend the status quo using the language of reciprocal altruism.
- 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 Reciprocal Altruism through 5 lenses
Each layer of the Incentives OS reframes this concept with its own thinkers, vocabulary, and diagnostic question.
- Layer 1Existing Framework
Which developmental stage and archetype is driving this?
- Layer 6Evolutionary Psychology
What ancestral instinct is being triggered?
- Layer 9Persuasion & Behavior Design
What is making this behavior easier than the alternative?
- Layer 18Temporal Models
What happens if this incentive compounds for ten years?
- Layer 19Human Needs & Meaning
Which basic human need is being met — or starved — by this design?
Do you actually know Reciprocal Altruism?
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Which best describes Reciprocal Altruism?
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 Reciprocal Altruism, 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 defer to perceived expertise, rank, or uniform.
Membership in a group is a baseline human need.
We say yes more often to people we like.
Stored social capital from prior behavior.
Things feel more valuable when supply or time is limited.
Unwritten rules that govern behavior in a group.
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.
IQ scores have risen substantially over generations.
Believing we influence outcomes that are largely random.
Losses hurt roughly twice as much as equivalent gains feel good.
Federal incentives meant for neglected diseases get used to privatize widely available medicines.
A present-bias kink (β) on top of exponential discounting (δ): immediate rewards get a bonus, all future rewards trade normally.
Single-loop fixes errors; double-loop questions the assumptions producing them.
Our decisions are influenced by when events occur or when we evaluate them.
Predicting how we will feel in the future, usually inaccurately.
Start from the desired future and work backward to the steps that make it inevitable.
Grouping information into familiar units to improve memory and processing.
Per-view payouts reward volume and frequency over craft and depth.
Cut options by knocking out one attribute at a time, hardest threshold first.