Affirming a Disjunct is assuming that if one option is true, another must be false, when both can be true. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0019, within the Reasoning family. The core principle: assuming that if one option is true, another must be false, when both can be true. 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 that if one option is true, another must be false, when both can be true.
Plain-English Definition
Assuming that if one option is true, another must be false, when both can be true.
Feynman Explanation
Or is not always exclusive.
Core Principle
Assuming that if one option is true, another must be false, when both can be true.
Mechanisms
Pending editorial review.
Assuming that if one option is true, another must be false, when both can be true.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Pending editorial review.
False trade-offs dominate strategic conversations.
Inputs (Triggers)
Pending editorial review.
Outputs (Behaviors)
Pending editorial review.
Behavioral Signature
Or is not always exclusive.
Examples
- 'She is either ambitious or a team player' ignores that she can be both.
- False trade-offs dominate strategic conversations.
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 element is common enough to feel like human nature and specific enough to be engineered around. The mechanism underneath it is straightforward: assuming that if one option is true, another must be false, when both can be true. You can recognize it in the field by its signature: or is not always exclusive. 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, false trade-offs dominate strategic conversations. It is amplified whenever false trade-offs dominate strategic conversations. Inside organizations that shows up as false trade-offs dominate strategic conversations. 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 ask whether the two options are genuinely mutually exclusive. The leverage is not in explaining the behavior to people. It is in changing what the behavior earns.
Famous Experiments
Pending editorial review.
Design Principles
- Ask whether the two options are genuinely mutually exclusive.
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.
- Ask whether the two options are genuinely mutually exclusive.
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.
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.
Using an authority's opinion as evidence, regardless of its merits.
Where Affirming a Disjunct 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.
- CourseIncentives 101
The free ten-part primer on reading a payoff structure.
Questions about Affirming a Disjunct
- What is Affirming a Disjunct?
- Affirming a Disjunct is assuming that if one option is true, another must be false, when both can be true. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0019, within the Reasoning family. The core principle: assuming that if one option is true, another must be false, when both can be true. 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 Affirming a Disjunct?
- False trade-offs dominate strategic conversations. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-COG-0019).
- How is Affirming a Disjunct exploited?
- False trade-offs dominate strategic conversations.
- How do you design around Affirming a Disjunct?
- Ask whether the two options are genuinely mutually exclusive.
- Which behavioral dimension does Affirming a Disjunct belong to?
- Affirming a Disjunct is classified in the Cognition dimension (COG) of the Human Behavior Taxonomy™, family "Reasoning", class "Mental Model". Its permanent identifier is HBT-COG-0019 and its evidence grade is B.