Argument from Ignorance is claiming something is true because it has not been proven false. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0058, within the Reasoning family. The core principle: claiming something is true because it has not been proven false. 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
Claiming something is true because it has not been proven false.
Plain-English Definition
Claiming something is true because it has not been proven false.
Feynman Explanation
Absence of evidence is not evidence of absence.
Core Principle
Claiming something is true because it has not been proven false.
Mechanisms
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Claiming something is true because it has not been proven false.
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Risk plans often fail because a threat has not yet appeared.
Inputs (Triggers)
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Outputs (Behaviors)
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Behavioral Signature
Absence of evidence is not evidence of absence.
Examples
- 'We have never had a security breach, so we are secure.'
- Risk plans often fail because a threat has not yet appeared.
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: claiming something is true because it has not been proven false. You can recognize it in the field by its signature: absence of evidence is not evidence of absence. 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, risk plans often fail because a threat has not yet appeared. It is amplified whenever risk plans often fail because a threat has not yet appeared. Inside organizations that shows up as risk plans often fail because a threat has not yet appeared. 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 list what would prove the claim false and look for it. The test of any redesign here is simple: after the change, can you name what the organization is now doing less of? If not, the payoff structure did not actually move.
Famous Experiments
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Design Principles
- List what would prove the claim false and look for it.
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.
- List what would prove the claim false and look for it.
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 an authority's opinion as evidence, regardless of its merits.
Concluding that a claim is false because the argument for it is flawed.
Saying it often enough until objections fade.
Drawing a conclusion from the absence of evidence rather than its presence.
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 Argument from Ignorance 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 Periodic Table of Human Behavior
The full 1,267-element map this page belongs to.
- ReferenceThe incentive glossary
Definitions for every mental model, bias, and fallacy in the corpus.
Questions about Argument from Ignorance
- What is Argument from Ignorance?
- Argument from Ignorance is claiming something is true because it has not been proven false. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0058, within the Reasoning family. The core principle: claiming something is true because it has not been proven false. 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 Argument from Ignorance?
- Risk plans often fail because a threat has not yet appeared. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-COG-0058).
- How is Argument from Ignorance exploited?
- Risk plans often fail because a threat has not yet appeared.
- How do you design around Argument from Ignorance?
- List what would prove the claim false and look for it.
- Which behavioral dimension does Argument from Ignorance belong to?
- Argument from Ignorance is classified in the Cognition dimension (COG) of the Human Behavior Taxonomy™, family "Reasoning", class "Mental Model". Its permanent identifier is HBT-COG-0058 and its evidence grade is B.