Most people explain behavior through the lens of morality. He did it because he's selfish. She did it because she doesn't care. They did it because they have no integrity.
That framing feels satisfying. It gives us someone to judge. But it almost never helps us understand — and it certainly doesn't help us predict what people will do next.
Incentives Are the Missing Variable
Here's a more useful question: What did they stand to gain?
When you answer that honestly, behavior stops being mysterious. The employee who underperforms isn't lazy — they're responding to a system that rewards presence over output. The politician who contradicts themselves isn't dishonest — they're optimizing for a different audience than the one you're watching from. The person who treats you differently in public than in private isn't two-faced — they're navigating different incentive structures in different rooms.
This isn't a defense of bad behavior. It's a more accurate lens for understanding it.
"Incentives explain behavior better than morals."
— M. Jai Jenkins
Why Moral Framing Fails Us
When we default to moral explanations, we make three consistent errors:
- We underestimate structural forces. Most behavior is a rational response to an environment, not a reflection of character.
- We stop looking. Once we've labeled someone as good or bad, we stop being curious about what's actually driving their choices.
- We predict wrong. Moral judgments don't help you anticipate what someone will do in a new situation. Incentive mapping does.
How to Apply Incentive Thinking
The next time someone's behavior confuses or frustrates you, ask:
- What do they gain by doing this?
- What do they lose by doing something else?
- Who are they trying to impress, avoid, or protect?
- What system are they operating inside?
When you can answer those questions clearly, behavior becomes predictable. And when behavior is predictable, you can navigate it — instead of just reacting to it.
That's the shift this library is built around. Not outrage. Structure.
For those who prefer understanding over performance.