Power Laws is a small number of items account for most of the value. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0540, within the Probability family. The core principle: a small number of items account for most of the value. 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 small number of items account for most of the value.
Plain-English Definition
A small number of items account for most of the value.
Feynman Explanation
Normal distributions are the exception, not the rule.
Core Principle
A small number of items account for most of the value.
Mechanisms
Pending editorial review.
A small number of items account for most of the value.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Don't manage power-law businesses like normal-distribution ones.
Inputs (Triggers)
Pending editorial review.
Outputs (Behaviors)
Pending editorial review.
Behavioral Signature
Normal distributions are the exception, not the rule.
Examples
- Venture returns. Wealth. Content engagement.
- Don't manage power-law businesses like normal-distribution ones.
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 small number of items account for most of the value. You can recognize it in the field by its signature: normal distributions are the exception, not the rule. 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, don't manage power-law businesses like normal-distribution ones. It is amplified whenever don't manage power-law businesses like normal-distribution ones. Inside organizations that shows up as don't manage power-law businesses like normal-distribution ones. 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 find your power law before designing your incentives. Measure the behavior, not the sentiment. A survey will tell you how people feel about this; only observed action tells you whether it changed.
Famous Experiments
Pending editorial review.
Design Principles
- Find your power law before designing your incentives.
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.
- Find your power law before designing your incentives.
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 relationship where a small number of inputs account for most outputs.
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 Laws 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 Periodic Table of Human Behavior
The full 1,267-element map this page belongs to.
- CourseIncentives 101
The free ten-part primer on reading a payoff structure.
Questions about Power Laws
- What is Power Laws?
- Power Laws is a small number of items account for most of the value. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0540, within the Probability family. The core principle: a small number of items account for most of the value. 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 Laws?
- Don't manage power-law businesses like normal-distribution ones. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-COG-0540).
- How is Power Laws exploited?
- Don't manage power-law businesses like normal-distribution ones.
- How do you design around Power Laws?
- Find your power law before designing your incentives.
- Which behavioral dimension does Power Laws belong to?
- Power Laws is classified in the Cognition dimension (COG) of the Human Behavior Taxonomy™, family "Probability", class "Mental Model". Its permanent identifier is HBT-COG-0540 and its evidence grade is B.