False Attribution is crediting a source or cause that isn't actually responsible. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0296, within the Reasoning family. The core principle: crediting a source or cause that isn't actually responsible. 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
Crediting a source or cause that isn't actually responsible.
Plain-English Definition
Crediting a source or cause that isn't actually responsible.
Feynman Explanation
We assign reasons to outcomes we can't really explain.
Core Principle
Crediting a source or cause that isn't actually responsible.
Mechanisms
Pending editorial review.
Crediting a source or cause that isn't actually responsible.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Most attribution in business analytics is partially false.
Inputs (Triggers)
Pending editorial review.
Outputs (Behaviors)
Pending editorial review.
Behavioral Signature
We assign reasons to outcomes we can't really explain.
Examples
- Crediting a marketing campaign for a revenue bump that came from seasonality.
- Most attribution in business analytics is partially false.
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: crediting a source or cause that isn't actually responsible. You can recognize it in the field by its signature: we assign reasons to outcomes we can't really explain. 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, most attribution in business analytics is partially false. It is amplified whenever most attribution in business analytics is partially false. Inside organizations that shows up as most attribution in business analytics is partially false. 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 test attribution causally, not by temporal proximity. 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
- Test attribution causally, not by temporal proximity.
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.
- Test attribution causally, not by temporal proximity.
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.
Reasoning that two things are alike based on shallow similarity.
Correlation does not imply causation.
Assuming that because B followed A, A caused B.
Presenting two options as the only possibilities when more exist.
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.
Where False Attribution 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.
- ReferenceThe Periodic Table of Human Behavior
The full 1,267-element map this page belongs to.
Questions about False Attribution
- What is False Attribution?
- False Attribution is crediting a source or cause that isn't actually responsible. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0296, within the Reasoning family. The core principle: crediting a source or cause that isn't actually responsible. 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 False Attribution?
- Most attribution in business analytics is partially false. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-COG-0296).
- How is False Attribution exploited?
- Most attribution in business analytics is partially false.
- How do you design around False Attribution?
- Test attribution causally, not by temporal proximity.
- Which behavioral dimension does False Attribution belong to?
- False Attribution is classified in the Cognition dimension (COG) of the Human Behavior Taxonomy™, family "Reasoning", class "Mental Model". Its permanent identifier is HBT-COG-0296 and its evidence grade is B.