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HBT-SOC-0019 · Dimension SOC · Social

Liking Bias

We're more persuaded by people we like.

Social Bias·Cognitive Bias·Grade B·draft· enriching…
In one paragraph

Liking Bias is we're more persuaded by people we like. It sits in the Social dimension (SOC) of the Human Behavior Taxonomy™ as element HBT-SOC-0019, within the Social Bias family. The core principle: we're more persuaded by people we like. 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're more persuaded by people we like.

Plain-English Definition

We're more persuaded by people we like.

Feynman Explanation

The right vendor with the wrong rep loses to the wrong vendor with the right rep.

Core Principle

We're more persuaded by people we like.

Mechanisms

Psychological

We're more persuaded by people we like.

Behavioral Economic

Pending editorial review.

Neurological

Pending editorial review.

Evolutionary

Pending editorial review.

Sociological

Pending editorial review.

Computational

Pending editorial review.

Systems

Pending editorial review.

Inputs (Triggers)

Pending editorial review.

Outputs (Behaviors)

Pending editorial review.

Behavioral Signature

The right vendor with the wrong rep loses to the wrong vendor with the right rep.

Examples

Everyday
  • Procurement quietly favors the supplier the team enjoys working with.
Modern (Organizational)
  • Decisions influenced by relationships more than results.
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're more persuaded by people we like. You can recognize it in the field by its signature: the right vendor with the wrong rep loses to the wrong vendor with the right rep. Every element in the Social 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, aI partner chosen because the AE is charming. It is amplified whenever decisions influenced by relationships more than results. Inside organizations that shows up as decisions influenced by relationships more than results. 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 scoring. Decisions made before relationships deepen. 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

  • Blind scoring. Decisions made before relationships deepen.

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
AI partner chosen because the AE is charming.
Amplifying Incentives
Decisions influenced by relationships more than results.
Org Failure Modes
Decisions influenced by relationships more than results.
Societal Failure Modes
Pending editorial review (HBT v1.0 auto-seed).
Ethical Considerations
Pending editorial review (HBT v1.0 auto-seed).
Redesign Strategies
Blind scoring. Decisions made before relationships deepen.
Diagnostic Questions
  • Blind scoring. Decisions made before relationships deepen.
Warning Signs

Pending editorial review.

Red Flags

Pending editorial review.

Intervention Playbook
Individual
Blind scoring. Decisions made before relationships deepen.
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
AI partner chosen because the AE is charming.
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-SOC-0019 · SOC
Liking Bias
LBABAuthority BiasBEBandwagon EffectBPBikeshedding (Parkin…BEBystander EffectCCCommitment & Consist…COCurse of KnowledgeFCFalse Consensus EffectFAFundamental Attribut…GEGolem EffectHEHalo Effect

Knowledge Graph Neighbors

Where Liking Bias is cited in the corpus

Questions about Liking Bias

What is Liking Bias?
Liking Bias is we're more persuaded by people we like. It sits in the Social dimension (SOC) of the Human Behavior Taxonomy™ as element HBT-SOC-0019, within the Social Bias family. The core principle: we're more persuaded by people we like. 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 Liking Bias?
Decisions influenced by relationships more than results. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-SOC-0019).
How is Liking Bias exploited?
AI partner chosen because the AE is charming.
How do you design around Liking Bias?
Blind scoring. Decisions made before relationships deepen.
Which behavioral dimension does Liking Bias belong to?
Liking Bias is classified in the Social dimension (SOC) of the Human Behavior Taxonomy™, family "Social Bias", class "Cognitive Bias". Its permanent identifier is HBT-SOC-0019 and its evidence grade is B.

Version History

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