Circle of Competence is know the perimeter of what you actually know. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0145, within the Reasoning family. The core principle: know the perimeter of what you actually know. 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
Know the perimeter of what you actually know.
Plain-English Definition
Know the perimeter of what you actually know.
Feynman Explanation
Most disasters live just beyond a leader's circle of competence.
Core Principle
Know the perimeter of what you actually know.
Mechanisms
Pending editorial review.
Know the perimeter of what you actually know.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Saying no to opportunities outside genuine expertise.
Inputs (Triggers)
Pending editorial review.
Outputs (Behaviors)
Pending editorial review.
Behavioral Signature
Most disasters live just beyond a leader's circle of competence.
Examples
- Buffett's refusal to invest in tech for decades.
- Saying no to opportunities outside genuine expertise.
Pending editorial review.
Original analysis from The Incentives Lab — how this element behaves inside real payoff structures.
Why this element matters to incentive design
Most organizations meet this element as a personnel problem. It is not one. The mechanism underneath it is straightforward: know the perimeter of what you actually know. You can recognize it in the field by its signature: most disasters live just beyond a leader's circle of competence. 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, saying no to opportunities outside genuine expertise. It is amplified whenever saying no to opportunities outside genuine expertise. Inside organizations that shows up as saying no to opportunities outside genuine expertise. 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 annual: write down what you know cold, what you sort-of know, what you don't. The leverage is not in explaining the behavior to people. It is in changing what the behavior earns.
Famous Experiments
Pending editorial review.
Design Principles
- Annual: write down what you know cold, what you sort-of know, what you don't.
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.
- Annual: write down what you know cold, what you sort-of know, what you don't.
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.
Deriving general rules from specific examples; the leap from instance to concept.
The brain evolved to reason adaptively, not always truthfully, to reduce the cost of errors.
We solve problems by adding, even when subtracting would be better.
Assuming that if one option is true, another must be false, when both can be true.
Presuming a purposeful actor behind events that may have no actor at all.
What cannot be settled by experiment is not worth debating.
A finite set of well-defined instructions for solving a problem or performing a computation.
Every model simplifies reality; some are still useful.
Researchers favor conclusions aligned with their school, team, or sponsor.
Using personal stories or isolated examples instead of evidence.
Claiming something is true or better because most people believe it.
Assuming something is true because it is probable or possible.
Where Circle of Competence 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.
- CourseIncentives 101
The free ten-part primer on reading a payoff structure.
- ReferenceThe incentive glossary
Definitions for every mental model, bias, and fallacy in the corpus.
- ReferenceThe Periodic Table of Human Behavior
The full 1,267-element map this page belongs to.
Questions about Circle of Competence
- What is Circle of Competence?
- Circle of Competence is know the perimeter of what you actually know. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0145, within the Reasoning family. The core principle: know the perimeter of what you actually know. 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 Circle of Competence?
- Saying no to opportunities outside genuine expertise. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-COG-0145).
- How is Circle of Competence exploited?
- Saying no to opportunities outside genuine expertise.
- How do you design around Circle of Competence?
- Annual: write down what you know cold, what you sort-of know, what you don't.
- Which behavioral dimension does Circle of Competence belong to?
- Circle of Competence is classified in the Cognition dimension (COG) of the Human Behavior Taxonomy™, family "Reasoning", class "Mental Model". Its permanent identifier is HBT-COG-0145 and its evidence grade is B.