Marginal Analysis
Decisions hinge on the next unit, not on the average.
"Averages are for reporting. Margins are for deciding."
What is Marginal Analysis? Decisions hinge on the next unit, not on the average. Pricing, capacity, and resource decisions.
Don't price by total cost; price by marginal cost.
Pricing, capacity, and resource decisions.
Always ask: 'What is the cost / value of the next one?'
Use the model. Pick the move.
Decisions hinge on the next unit, not on the average. You've just seen this: Don't price by total cost; price by marginal cost. Which lever does the model recommend?
Pick a lever. There are no neutral ones — every incentive funds a behavior somewhere.
Pick a reaction to Marginal Analysis
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 Marginal Analysis 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 Marginal Analysis most often show up unnoticed?
- Which metric, ritual, or contract clause quietly rewards Marginal Analysis?
- If we removed every payoff for Marginal Analysis, what behavior would replace it?
- Who benefits when Marginal Analysis persists — and who pays the cost?
- People defend the status quo using the language of marginal analysis.
- 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 Marginal Analysis through this lens
Each layer of the Incentives OS reframes this concept with its own thinkers, vocabulary, and diagnostic question.
Do you actually know Marginal Analysis?
Three quick questions. Result is saved into your review streak — come back when the term is due to lock it in.
Which best describes Marginal Analysis?
Worked example, counter-example & concept map
On-demand AI analysis grounded in the Lab's research. Cached on your device after first run.
Your nervous system has a region for this.
When you encounter Marginal Analysis, your striatum has built a reward association — and the next time the cue appears, it will push you toward the behavior whether you decide to or not.
Reward learning, habit formation, anticipation, craving, action selection. Habits live here. So do addictions. Variable rewards train this circuit faster than fixed ones.
See Striatum in the Brain Atlas →Picked for you, from the Atlas
Ranked by shared learning paths, overlapping chips, and what you've saved.
Exploiting price differences between markets for risk-free profit.
The study of how real humans actually decide — bounded, social, emotional, and inconsistent.
With clear property rights and low transaction costs, parties negotiate to efficient outcomes.
Specialize in what you give up the least to do.
Complements raise each other's value; substitutes lower it.
Fixed costs don't scale with output; variable costs do.
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.
Manager calibration produces predictable distortions over years.
Mandating pre-funding of unborn retirees' health benefits engineered artificial insolvency.
Researchers favor conclusions aligned with their school, team, or sponsor.
We see bias in others more easily than in ourselves.
Employers screen by school name, rewarding admission rather than developed skill.
Defaults bypass active cognition.
Continuing a failing course of action because of prior investment.
What people expect of themselves shapes what they achieve.
Distaste for unequal payoffs — including when we'd benefit.
Always have a working model of what your counterpart believes.
Three viewpoints on the same situation: self (1st), other (2nd), observer (3rd). Cycle through all three for a complete read.
We choose to minimize the regret we anticipate — not the expected value.