Attribute Substitution is replacing a hard question with an easier one without realizing it. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0072, within the Reasoning family. The core principle: replacing a hard question with an easier one without realizing it. 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
Replacing a hard question with an easier one without realizing it.
Plain-English Definition
Replacing a hard question with an easier one without realizing it.
Feynman Explanation
How much is this company worth? We answered how much we like the CEO.
Core Principle
Replacing a hard question with an easier one without realizing it.
Mechanisms
Pending editorial review.
Replacing a hard question with an easier one without realizing it.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Simpler proxies constantly replace the real target.
Inputs (Triggers)
Pending editorial review.
Outputs (Behaviors)
Pending editorial review.
Behavioral Signature
How much is this company worth? We answered how much we like the CEO.
Examples
- Judging a complex policy by how easy its slogan is to remember.
- Simpler proxies constantly replace the real target.
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: replacing a hard question with an easier one without realizing it. You can recognize it in the field by its signature: how much is this company worth? We answered how much we like the CEO. 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, simpler proxies constantly replace the real target. It is amplified whenever simpler proxies constantly replace the real target. Inside organizations that shows up as simpler proxies constantly replace the real target. 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 write the hard question down and audit the substitute you used. 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
Pending editorial review.
Design Principles
- Write the hard question down and audit the substitute you used.
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.
- Write the hard question down and audit the substitute you used.
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.
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.
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.
Where Attribute Substitution 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.
- CourseIncentives 101
The free ten-part primer on reading a payoff structure.
- ReferenceThe Periodic Table of Human Behavior
The full 1,267-element map this page belongs to.
Questions about Attribute Substitution
- What is Attribute Substitution?
- Attribute Substitution is replacing a hard question with an easier one without realizing it. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0072, within the Reasoning family. The core principle: replacing a hard question with an easier one without realizing it. 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 Attribute Substitution?
- Simpler proxies constantly replace the real target. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-COG-0072).
- How is Attribute Substitution exploited?
- Simpler proxies constantly replace the real target.
- How do you design around Attribute Substitution?
- Write the hard question down and audit the substitute you used.
- Which behavioral dimension does Attribute Substitution belong to?
- Attribute Substitution is classified in the Cognition dimension (COG) of the Human Behavior Taxonomy™, family "Reasoning", class "Mental Model". Its permanent identifier is HBT-COG-0072 and its evidence grade is B.