Affinity / Liking Bias is we favor people who are similar to us or who like us. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0018, within the Social family. The core principle: we favor people who are similar to us or who like us. 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 favor people who are similar to us or who like us.
Plain-English Definition
We favor people who are similar to us or who like us.
Feynman Explanation
Hire for 'culture fit' and accidentally hire for 'looks like me'.
Core Principle
We favor people who are similar to us or who like us.
Mechanisms
Pending editorial review.
We favor people who are similar to us or who like us.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Affinity silently shapes who gets funded, hired, and promoted.
Inputs (Triggers)
Pending editorial review.
Outputs (Behaviors)
Pending editorial review.
Behavioral Signature
Hire for 'culture fit' and accidentally hire for 'looks like me'.
Examples
- A hiring manager prefers the candidate who shares their alma mater.
- Affinity silently shapes who gets funded, hired, and promoted.
Pending editorial review.
Original analysis from The Incentives Lab — how this element behaves inside real payoff structures.
Why this element matters to incentive design
Executives usually notice this element only after it has cost something. By then it looks like a one-off. It is not. The mechanism underneath it is straightforward: we favor people who are similar to us or who like us. You can recognize it in the field by its signature: hire for 'culture fit' and accidentally hire for 'looks like me'. 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, affinity silently shapes who gets funded, hired, and promoted. It is amplified whenever affinity silently shapes who gets funded, hired, and promoted. Inside organizations that shows up as affinity silently shapes who gets funded, hired, and promoted. 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 blind relevant traits and use structured scorecards. 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
- Blind relevant traits and use structured scorecards.
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.
- Blind relevant traits and use structured scorecards.
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 attribute our own actions to situations but others' actions to their character.
Systematic errors in explaining the causes of behavior — yours or others'.
Faces and brands look more appealing in a group than individually.
Avoiding contact with people or things perceived as 'contaminated'.
Giving polite rather than honest answers to avoid offense.
Judging phenomena by the standards of one's own culture.
A group decides on a course of action that nobody actually wants, because everyone assumes others prefer it.
Power tends to corrupt, and absolute power corrupts absolutely.
Sacrificing for others without expecting a personal reward.
Masking the sponsors of a message to make it appear grassroots.
Disagreement grows more extreme as the parties think more about the issue.
We accept vague, general statements as personally meaningful.
Where Affinity / Liking Bias 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 Affinity / Liking Bias
- What is Affinity / Liking Bias?
- Affinity / Liking Bias is we favor people who are similar to us or who like us. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0018, within the Social family. The core principle: we favor people who are similar to us or who like us. 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 Affinity / Liking Bias?
- Affinity silently shapes who gets funded, hired, and promoted. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-COG-0018).
- How is Affinity / Liking Bias exploited?
- Affinity silently shapes who gets funded, hired, and promoted.
- How do you design around Affinity / Liking Bias?
- Blind relevant traits and use structured scorecards.
- Which behavioral dimension does Affinity / Liking Bias belong to?
- Affinity / Liking Bias is classified in the Cognition dimension (COG) of the Human Behavior Taxonomy™, family "Social", class "Mental Model". Its permanent identifier is HBT-COG-0018 and its evidence grade is B.