Power Law is a relationship where a small number of inputs account for most outputs. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0539, within the Probability family. The core principle: a relationship where a small number of inputs account for most outputs. In incentive terms, it matters because it changes the payoff people perceive before they choose — which means it can be designed for, or exploited.
Scientific Definition
A relationship where a small number of inputs account for most outputs.
Plain-English Definition
A relationship where a small number of inputs account for most outputs.
Feynman Explanation
A few causes create most effects.
Core Principle
A relationship where a small number of inputs account for most outputs.
Mechanisms
Pending editorial review.
A relationship where a small number of inputs account for most outputs.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Power laws exist everywhere, but they are rarely managed as such.
Inputs (Triggers)
Pending editorial review.
Outputs (Behaviors)
Pending editorial review.
Behavioral Signature
A few causes create most effects.
Examples
- A few customers generate most revenue; a few bugs cause most crashes.
- Power laws exist everywhere, but they are rarely managed as such.
Pending editorial review.
Original analysis from The Incentives Lab — how this element behaves inside real payoff structures.
Why this element matters to incentive design
This is one of the elements leaders describe as a values gap. It is a payoff gap. The mechanism underneath it is straightforward: a relationship where a small number of inputs account for most outputs. You can recognize it in the field by its signature: a few causes create most effects. Every element in the Cognition dimension changes the perceived payoff of an action before the action happens, which is exactly where incentive design has leverage.
How it gets exploited
Left undesigned, power laws exist everywhere, but they are rarely managed as such. It is amplified whenever power laws exist everywhere, but they are rarely managed as such. Inside organizations that shows up as power laws exist everywhere, but they are rarely managed as such. The pattern is the same one Goodhart's Law describes: the measurable proxy attracts the effort, and the purpose behind it quietly loses funding.
How the Lab designs around it
The redesign move is to identify the vital few and allocate resources accordingly. Treat it as infrastructure. Once you can see it in your own system, most of the argument about culture resolves itself.
Famous Experiments
Pending editorial review.
Design Principles
- Identify the vital few and allocate resources accordingly.
Measurement Approaches
Pending editorial review.
Evidence
Pending editorial review.
Pending editorial review.
The Perverse Incentive Lens™
How this behavior is exploited — and how to redesign around it.
- Identify the vital few and allocate resources accordingly.
Pending editorial review.
Pending editorial review.
Interactive Mini Network
Click any neighbor to re-center the graph and follow the threads of connection.
Knowledge Graph Neighbors
Auto-linked to the rest of the Human Behavior Taxonomy by family, domain, dimension, and shared keywords.
A small number of items account for most of the value.
Ignoring general statistics in favor of specific, vivid information.
Posterior = (likelihood × prior) / evidence.
Update beliefs in proportion to the strength of new evidence.
Start with a prior; update with new evidence.
Novices experiencing early success, often due to variance and small samples.
High-impact, hard-to-predict, retrospectively explainable events.
Striking pattern that is statistically expected in large samples.
Reasoning in distributions — ranges and probabilities — rather than points.
Average outcomes across the population differ from outcomes across time for one person.
A rough calculation using order-of-magnitude reasoning.
In quantum mechanics, certain pairs of properties cannot both be precisely known.
Where Power Law is cited in the corpus
Essays, field guides, and diagnostics from The Incentives Lab that apply this element.
- EssayGoodhart's Law in the Real World
How measurable proxies capture judgment.
- EssayThe Perverse Incentives Hiding in Your KPIs
Cognitive shortcuts turned into scorecards.
- EssayAI Agents Inherit Your Incentives
How this element propagates into automated systems.
- ReferenceThe incentive glossary
Definitions for every mental model, bias, and fallacy in the corpus.
- CourseIncentives 101
The free ten-part primer on reading a payoff structure.
- ReferenceThe Periodic Table of Human Behavior
The full 1,267-element map this page belongs to.
Questions about Power Law
- What is Power Law?
- Power Law is a relationship where a small number of inputs account for most outputs. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0539, within the Probability family. The core principle: a relationship where a small number of inputs account for most outputs. In incentive terms, it matters because it changes the payoff people perceive before they choose — which means it can be designed for, or exploited.
- What is an example of Power Law?
- Power laws exist everywhere, but they are rarely managed as such. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-COG-0539).
- How is Power Law exploited?
- Power laws exist everywhere, but they are rarely managed as such.
- How do you design around Power Law?
- Identify the vital few and allocate resources accordingly.
- Which behavioral dimension does Power Law belong to?
- Power Law is classified in the Cognition dimension (COG) of the Human Behavior Taxonomy™, family "Probability", class "Mental Model". Its permanent identifier is HBT-COG-0539 and its evidence grade is B.