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HBT-COG-0406 · Dimension COG · Cognition

Ingroup Favoritism

We favor members of our own group over outsiders.

Social·Mental Model·Grade B·draft· enriching…
In one paragraph

Ingroup Favoritism is we favor members of our own group over outsiders. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0406, within the Social family. The core principle: we favor members of our own group over outsiders. 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 members of our own group over outsiders.

Plain-English Definition

We favor members of our own group over outsiders.

Feynman Explanation

We are the best team because we are us, and they are them.

Core Principle

We favor members of our own group over outsiders.

Mechanisms

Psychological

Pending editorial review.

Behavioral Economic

We favor members of our own group over outsiders.

Neurological

Pending editorial review.

Evolutionary

Pending editorial review.

Sociological

Pending editorial review.

Computational

Pending editorial review.

Systems

Ingroup bias limits diversity and innovation.

Inputs (Triggers)

Pending editorial review.

Outputs (Behaviors)

Pending editorial review.

Behavioral Signature

We are the best team because we are us, and they are them.

Examples

Everyday
  • Hiring from the same network perpetuates demographic homogeneity.
Modern (Organizational)
  • Ingroup bias limits diversity and innovation.
Historical

Pending editorial review.

Lab Commentary

Original analysis from The Incentives Lab — how this element behaves inside real payoff structures.

Why this element matters to incentive design

When this element shows up in a diagnostic, the instinct is to train people out of it. Training rarely moves it. The mechanism underneath it is straightforward: we favor members of our own group over outsiders. You can recognize it in the field by its signature: we are the best team because we are us, and they are them. 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, ingroup bias limits diversity and innovation. It is amplified whenever ingroup bias limits diversity and innovation. Inside organizations that shows up as ingroup bias limits diversity and innovation. 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 use structured criteria and diverse interview panels. Treat it as infrastructure. Once you can see it in your own system, most of the argument about culture resolves itself.

Famous Experiments

Pending editorial review.

Design Principles

  • Use structured criteria and diverse interview panels.

Measurement Approaches

Pending editorial review.

Evidence

Evidence Grade
B (A strongest → E speculative)
Replication
★★★☆☆
Intervention Confidence
3 / 5
Consensus
Pending editorial review (HBT v1.0 auto-seed).
Limitations
Pending editorial review (HBT v1.0 auto-seed).
Open Research Questions

Pending editorial review.

Primary References

Pending editorial review.

Signature Section

The Perverse Incentive Lens™

How this behavior is exploited — and how to redesign around it.

Exploitation
Ingroup bias limits diversity and innovation.
Amplifying Incentives
Ingroup bias limits diversity and innovation.
Org Failure Modes
Ingroup bias limits diversity and innovation.
Societal Failure Modes
Pending editorial review (HBT v1.0 auto-seed).
Ethical Considerations
Pending editorial review (HBT v1.0 auto-seed).
Redesign Strategies
Use structured criteria and diverse interview panels.
Diagnostic Questions
  • Use structured criteria and diverse interview panels.
Warning Signs

Pending editorial review.

Red Flags

Pending editorial review.

Intervention Playbook
Individual
Use structured criteria and diverse interview panels.
Team
Pending editorial review (HBT v1.0 auto-seed).
Organization
Pending editorial review (HBT v1.0 auto-seed).
Policy
Pending editorial review (HBT v1.0 auto-seed).
AI Implications
Detection
Pending editorial review (HBT v1.0 auto-seed).
Measurement
Pending editorial review (HBT v1.0 auto-seed).
Mitigation
Pending editorial review (HBT v1.0 auto-seed).
Responsible Use
Pending editorial review (HBT v1.0 auto-seed).

Interactive Mini Network

Click any neighbor to re-center the graph and follow the threads of connection.

HBT-COG-0406 · COG
Ingroup Favoritism
IFAPAbilene ParadoxADActon's DictumABActor-Observer BiasALAffinity / Liking BiasAlAltruismAsAstroturfingAPAttitude PolarizationABAttribution BiasBEBarnum EffectBJBecause Justification

Knowledge Graph Neighbors

Where Ingroup Favoritism is cited in the corpus

Questions about Ingroup Favoritism

What is Ingroup Favoritism?
Ingroup Favoritism is we favor members of our own group over outsiders. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0406, within the Social family. The core principle: we favor members of our own group over outsiders. 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 Ingroup Favoritism?
Ingroup bias limits diversity and innovation. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-COG-0406).
How is Ingroup Favoritism exploited?
Ingroup bias limits diversity and innovation.
How do you design around Ingroup Favoritism?
Use structured criteria and diverse interview panels.
Which behavioral dimension does Ingroup Favoritism belong to?
Ingroup Favoritism is classified in the Cognition dimension (COG) of the Human Behavior Taxonomy™, family "Social", class "Mental Model". Its permanent identifier is HBT-COG-0406 and its evidence grade is B.

Version History

v1.1.0 · 2026-06-28Initial auto-seed from corpus.