Scientific Definition
Drawing conclusions about individuals from group-level data.
Plain-English Definition
Drawing conclusions about individuals from group-level data.
Feynman Explanation
Average isn't a person.
Core Principle
Drawing conclusions about individuals from group-level data.
Mechanisms
Pending editorial review.
Drawing conclusions about individuals from group-level data.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Persona-based product decisions often commit ecological fallacy.
Inputs (Triggers)
Pending editorial review.
Outputs (Behaviors)
Pending editorial review.
Behavioral Signature
Average isn't a person.
Examples
- 'Our customers are 35 years old' — none of them is.
- Persona-based product decisions often commit ecological fallacy.
Pending editorial review.
Famous Experiments
Pending editorial review.
Design Principles
- Distinguish group statistics from individual prediction.
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.
- Distinguish group statistics from individual prediction.
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.
Using personal stories or isolated examples instead of evidence.
Concluding that a claim is false because the argument for it is flawed.
Assuming qualities of one thing transfer to another because they are associated.
Assuming something exists because we can name or define it.
Relying solely on metrics that are easily quantified while ignoring what matters.
Cherry-picking data to fit a pattern after the fact.
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.