In the 1980s, the financier Charlie Munger sat on the board of a company and watched executives make decision after decision that looked, from the outside, baffling — until he stopped asking what are they thinking? and started asking what are they being paid for? The baffling decisions snapped into focus instantly. Every one of them made perfect sense the moment you looked at the bonus formula instead of the press release. Munger spent the rest of his life telling people the same thing, in the same eleven words: “Show me the incentive and I will show you the outcome.” This course is about taking those eleven words more seriously than you currently do — because almost nobody takes them seriously enough, including, by his own admission, Munger.
Here’s the idea in one breath: an incentive is anything that changes the payoff of a behavior — a reward that makes you more likely to do something, or a penalty that makes you less likely. And the central, uncomfortable claim of this whole subject is that behavior follows the payoff, not the intention. People drift, often without noticing, toward whatever is actually rewarded — not what they say they value, not what you wish they’d do, not even what they sincerely believe about themselves. If you want to predict what someone will do, the single most reliable thing to look at is not their character. It’s their incentives.
The one sentence to take away
Before we spend five lessons unpacking it, here’s the whole model in a line:
The one-sentence version
To predict or explain behavior, find the reward — not the stated intention. People and systems drift toward whatever is actually paid for. If you remember nothing else, the question “who benefits, and what exactly are they being paid to do?” already explains more of the world than most people’s entire theory of human nature.
The trap is that we have a much more flattering and intuitive theory lying around — the theory that people act on their values. So we explain behavior with character words: she’s lazy, he’s greedy, they just don’t care. Sometimes that’s true. But it’s a weak predictor and a worse lever, because you can’t easily change someone’s character — and you usually don’t have to. Change the payoff and the behavior changes, often overnight, with the same people and the same hearts. That’s the whole game.
Before you read — take a guess
A company says it wants 'long-term thinking,' but it pays its executives a large bonus based purely on this year's reported profit. Its executives keep making short-sighted decisions that boost this year's numbers at the expense of the future. What does the incentives lens say is the best explanation?
Why this is a real model, not just a slogan
“People respond to incentives” sounds like the kind of thing everyone already knows. And everyone does — right up until it’s their own team, their own kids, their own policy, their own doctor. Then the obvious lens switches off and the character lens switches on. We’re wired to see people as the cause of what people do, and incentives are part of the invisible situation — so they vanish from our explanations exactly when we need them most. That’s why incentives have to be a deliberate model: a move you make on purpose, against your instinct to reach for “they’re just like that.”
And like every good mental model, it’s portable. The same question — what’s the payoff here? — explains a colonial rat bounty that bred more rats, a bank that opened millions of fake accounts, a teacher who teaches to the test, a contractor who recommends the expensive repair, a friend who’s suddenly very generous with advice about the company he works for. None of these require villains. They require a reward pointed at the wrong thing, and ordinary people walking toward it. Once you can see the reward, the behavior stops being mysterious — and starts being predictable, which is the whole point of a model.
Why does the course argue that incentives have to be a deliberate mental model, rather than just common sense everyone already applies?
The map of the course
Five short teaching lessons, then one exam you can’t undo. The route:
- What an Incentive Is — the precise definition (anything that changes the payoff of a behavior), the difference between extrinsic rewards and intrinsic drives, carrots versus sticks, and why “what gets measured gets managed” is both useful advice and a loaded gun.
- Incentive-Caused Bias — the subtle one: people don’t just respond to incentives, they unconsciously rationalize whatever pays them, sincerely believing the convenient thing. Why “it’s hard to make a man understand something when his salary depends on not understanding it.”
- Perverse Incentives & the Cobra Effect — what happens when you reward a proxy instead of the real goal: you manufacture the exact gaming you feared. The Hanoi rats, Goodhart’s law, and an interactive slider that makes a whole population defect to cheating as the reward climbs.
- Intrinsic vs. Extrinsic — the counter-intuitive twist: sometimes paying for something destroys the motivation to do it. The daycare that fined late parents and got more of them. When money helps, and when it backfires.
- Designing Good Incentives — putting it to work: reward the outcome you actually want (not the convenient proxy), align the agent with the principal, and stress-test a reward by asking “how would a clever, lazy, slightly dishonest person game this?”
Then a Final Exam — graded, one question at a time, one-way: once you answer, it locks. No back button, no retries. You’ll be ready.
How to use this course
One rule does most of the work: guess before you peek. When you hit an exercise, commit to an answer before revealing anything. The small sting of being wrong is what makes the idea stick — a smooth, nodding read-through teaches almost nothing. The exercises are the lesson; the prose just sets them up.
Next up: lesson 2, where we make “incentive” precise — because right now “people follow the reward” is a slogan, and a slogan is not yet a tool.