Cross-Race Effect is we recognize faces from our own race more accurately than others. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0204, within the Social family. The core principle: we recognize faces from our own race more accurately than others. 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
We recognize faces from our own race more accurately than others.
Plain-English Definition
We recognize faces from our own race more accurately than others.
Feynman Explanation
The brain pattern-matches what it has most data on.
Core Principle
We recognize faces from our own race more accurately than others.
Mechanisms
Pending editorial review.
We recognize faces from our own race more accurately than others.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Hiring and customer-recognition systems inherit the bias.
Inputs (Triggers)
Pending editorial review.
Outputs (Behaviors)
Pending editorial review.
Behavioral Signature
The brain pattern-matches what it has most data on.
Examples
- Eyewitness identification errors compound by race.
- Hiring and customer-recognition systems inherit the bias.
Pending editorial review.
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: we recognize faces from our own race more accurately than others. You can recognize it in the field by its signature: the brain pattern-matches what it has most data on. 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, hiring and customer-recognition systems inherit the bias. It is amplified whenever hiring and customer-recognition systems inherit the bias. Inside organizations that shows up as hiring and customer-recognition systems inherit the bias. 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 diversify exposure intentionally; use structured identification protocols. 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
- Diversify exposure intentionally; use structured identification protocols.
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.
- Diversify exposure intentionally; use structured identification protocols.
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.
We accept vague, general statements as personally meaningful.
We come to like people we've done a favor for, more than people who've helped us.
Subconscious preference for numbers (and letters) that appear in our own name or birthday.
A persuasive message produces the opposite of its intended effect.
The threat of retaliation suppresses legitimate speech or action.
Higher rates of mistreatment toward stepchildren than biological children.
Renewed interest in a stimulus when a novel stimulus is introduced.
Underestimating how common our positive traits and behaviors are.
We accept vague, positive personality descriptions as highly accurate.
People change behavior when they know they are being observed.
Competent people become more likable after a small visible mistake.
A group decides on a course of action that nobody actually wants, because everyone assumes others prefer it.
Where Cross-Race Effect 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 Cross-Race Effect
- What is Cross-Race Effect?
- Cross-Race Effect is we recognize faces from our own race more accurately than others. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0204, within the Social family. The core principle: we recognize faces from our own race more accurately than others. 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 Cross-Race Effect?
- Hiring and customer-recognition systems inherit the bias. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-COG-0204).
- How is Cross-Race Effect exploited?
- Hiring and customer-recognition systems inherit the bias.
- How do you design around Cross-Race Effect?
- Diversify exposure intentionally; use structured identification protocols.
- Which behavioral dimension does Cross-Race Effect belong to?
- Cross-Race Effect is classified in the Cognition dimension (COG) of the Human Behavior Taxonomy™, family "Social", class "Mental Model". Its permanent identifier is HBT-COG-0204 and its evidence grade is B.