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.
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.