"Show me the incentive and I'll show you the future."
A laboratory for learning incentives. A think tank for solving them.
Pick the closest situation.
Daymond John · Founder, FUBU · Shark Tank
The thesis, the seven-layer operating system, the Cultural Performance Audit, the evidence, the profession, and an index of all 1,229 Atlas entries — every one a live link — plus a visual archive of every image on the site. No email required.
The brain is not a reason machine. It is a threat-avoidance machine. It filters, it anchors, and it conditions for safety — and only then does it consider what is good for us.
Millions of signals arrive; a handful survive. Attention is triaged by threat first, relevance second, everything else never. What does not read as danger or reward is dropped before it reaches conscious thought.
If your incentive is not visible at the moment of decision, it does not exist. Design at the point of friction, not in the policy document.
Whatever lands first becomes the reference point. Gains and losses are measured against that anchor, and a loss lands roughly twice as hard as an equivalent gain.
Set the anchor deliberately — the baseline, the default, the first number in the room — because every judgment after it is relative.
Repetition turns a response into a reflex. Behavior that avoided pain last time gets rehearsed until it is identity, culture, and habit — long after the original threat is gone.
Culture is conditioned, not declared. Change what is repeatedly rewarded and punished, and the reflex re-forms around the new safety.
Pleasure suggests. Pain decides. Design the incentive against the pain and you move the behavior.
That is the whole craft: build incentives that remove real pain, and point them at the greater good.
Read the philosophy →Learn the skill in public. Hire the team to solve the problem in private.
Learn how incentives shape behavior.
Tools, terms, paths, and daily play. The whole encyclopedia of human behavior — open to everyone.
Solve a real incentive problem.
Diagnose and redesign incentive systems for businesses, governments, and institutions.
A call center, an AI product team, and a school district. Same lesson: change what you reward and you change what happens next. This is what the Laboratory teaches and the Think Tank does at scale.
Flip the toggle. The metric moves. The behavior nobody asked for moves with it.
You incentivized speed. You got abandonment dressed as throughput.
All problems are incentive problems. This is what that sentence means.
Drag the slider. Every notch is a real tradeoff between attention captured today and trust spent tomorrow.
Engagement that survives a churn audit. Future = compounding trust.
Show me what you reward and I'll show you the product you'll ship in 18 months.
Three real interventions. Each predictably shapes a different future. Pick one and read the cascade.
Pick a lever. There are no neutral ones — every incentive funds a behavior somewhere.
Your organization is perfectly designed to produce the behavior you are currently getting. If the metric can be gamed, it will be. The stated goal is rarely the real incentive. The Incentives Lab is the playground for finding the architecture underneath — and redesigning it.
The behavioral element shaping decisions today. Read it, file it, come back tomorrow. Three days in a row turns a list into fluency.
Drop in any policy, comp plan, metric, or product. Get a perverse-incentive risk score and a redesign.
100+ Human Behavior Elements™ — searchable, filterable, evidence-graded. Click any tile to go deep.
Combine elements into behaviors: entrepreneurship, burnout, FOMO, polarization, innovation resistance.
Change a metric, default, or reward — predict the behavior shift and the second-order surprises.
Start at the laws. End at the redesign. Click any layer to play with it.
The 12 invariants beneath every system. Behavior follows incentives. Defaults become destiny.
The 12 axes of human behavior — from cognition to consciousness.
The 8 reasons people decide: safer, richer, healthier, smarter, happier, connected, significant, free.
The 700–1,000 named primitives of behavior. The atoms of the OS.
Elements bonded into real-world behaviors — burnout, FOMO, entrepreneurship.
Molecules wired into orgs, markets, and cultures.
Where the system rewards the opposite of its stated goal.
The interventions that actually move behavior.
Every behavior reduces to elements. Loss Aversion. Social Proof. Goodhart's Law. Status Quo Bias. Each tile gives you the plain-English definition, the Feynman explanation, the perverse-incentive risk, and a live experiment to run.
Behavior = ƒ(Cognition × Emotion × Motivation × Incentives × Identity × Social × Environment × Time × Biology × Systems × Culture × Consciousness).
Every decision moves toward something desirable or away from something painful. Map any product, behavior, or policy.
Drop in any system — a policy, a comp plan, an algorithm, a school, a hospital, a metric. The Lens shows you the gap between the stated goal and what's actually rewarded, scores the perverse-incentive risk, and proposes a redesign.
"If the metric can be gamed, it will be."
A growing public archive of perverse incentives, behavioral molecules, case studies, and incentive redesigns — contributed by people who use the Lens in the wild. Browse what others have found. Submit your own.
Diagnose and redesign a real incentive system inside a business, government, or institution. Sprints, audits, on-site sessions, and standing advisory for boards, F500s, AI labs, and governments.
A focused engagement on one comp plan, metric, policy, or product surface.
Comp, culture, AI-alignment, and product-incentive audits.
Diagnose perverse incentives inside agencies, programs, and regulations.
Executive workshops, board offsites, and Train-the-Trainer cohorts.
We do not fix people. We redesign the systems shaping them.