Single Cause Fallacy is assuming one cause where many are at play. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0619, within the Causation Fallacy family. The core principle: assuming one cause where many are at play. 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
Assuming one cause where many are at play.
Plain-English Definition
Assuming one cause where many are at play.
Feynman Explanation
The strategy worked because of leadership. (Also: timing, luck, capital, market, competitors…)
Core Principle
Assuming one cause where many are at play.
Mechanisms
Assuming one cause where many are at play.
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Inputs (Triggers)
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Outputs (Behaviors)
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Behavioral Signature
The strategy worked because of leadership. (Also: timing, luck, capital, market, competitors…)
Examples
- Crediting a turnaround entirely to one new exec hire.
- Multi-factor outcomes attributed to one factor; lessons mis-learned.
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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: assuming one cause where many are at play. You can recognize it in the field by its signature: the strategy worked because of leadership. (Also: timing, luck, capital, market, competitors…). 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, multi-factor outcomes attributed to one factor; lessons mis-learned. It is amplified whenever multi-factor outcomes attributed to one factor; lessons mis-learned. Inside organizations that shows up as multi-factor outcomes attributed to one factor; lessons mis-learned. 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 make the desired behavior observable, remove whatever currently pays for its opposite, and attach the reward to the behavior rather than to the noisy outcome downstream of it. Watch for it at the boundaries: handoffs, promotions, incident reviews, and budget cycles are where this element gets its power.
Famous Experiments
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Design Principles
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Measurement Approaches
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Evidence
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The Perverse Incentive Lens™
How this behavior is exploited — and how to redesign around it.
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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.
If A then B; B happened; therefore A.
Reasoning backward from outcomes to motives.
Treating two things that move together as one causing the other.
With this, therefore because of this.
If A then B; not A; therefore not B.
Stacking so many tenuous links that the conclusion sounds clever.
B followed A, therefore A caused B.
A small step inevitably leads to extreme consequences.
Small step → catastrophic outcome, without the intermediate causal links.
Attacking the person rather than the argument.
A single story used as proof of a general claim.
It's true because authority says so.
Where Single Cause Fallacy 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.
- 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 Single Cause Fallacy
- What is Single Cause Fallacy?
- Single Cause Fallacy is assuming one cause where many are at play. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0619, within the Causation Fallacy family. The core principle: assuming one cause where many are at play. 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 Single Cause Fallacy?
- Multi-factor outcomes attributed to one factor; lessons mis-learned. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-COG-0619).
- How is Single Cause Fallacy exploited?
- Multi-factor outcomes attributed to one factor; lessons mis-learned.
- How do you design around Single Cause Fallacy?
- Name the behavior you want in observable terms, remove what currently pays for the opposite, attach the reward to the behavior rather than a lagging proxy, and publish how you will detect gaming.
- Which behavioral dimension does Single Cause Fallacy belong to?
- Single Cause Fallacy is classified in the Cognition dimension (COG) of the Human Behavior Taxonomy™, family "Causation Fallacy", class "Logical Fallacy". Its permanent identifier is HBT-COG-0619 and its evidence grade is B.