Courtesy Bias is giving polite rather than honest answers to avoid offense. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0200, within the Social family. The core principle: giving polite rather than honest answers to avoid offense. 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
Giving polite rather than honest answers to avoid offense.
Plain-English Definition
Giving polite rather than honest answers to avoid offense.
Feynman Explanation
Politeness corrupts more research than fraud does.
Core Principle
Giving polite rather than honest answers to avoid offense.
Mechanisms
Pending editorial review.
Giving polite rather than honest answers to avoid offense.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Customer-feedback systems systematically over-report satisfaction.
Inputs (Triggers)
Pending editorial review.
Outputs (Behaviors)
Pending editorial review.
Behavioral Signature
Politeness corrupts more research than fraud does.
Examples
- Customer interviews where everyone says they 'love' the feature they won't use.
- Customer-feedback systems systematically over-report satisfaction.
Pending editorial review.
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: giving polite rather than honest answers to avoid offense. You can recognize it in the field by its signature: politeness corrupts more research than fraud does. 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, customer-feedback systems systematically over-report satisfaction. It is amplified whenever customer-feedback systems systematically over-report satisfaction. Inside organizations that shows up as customer-feedback systems systematically over-report satisfaction. 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 behavioral data over self-reported data. Make dissent comfortable. 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 behavioral data over self-reported data. Make dissent comfortable.
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.
- Use behavioral data over self-reported data. Make dissent comfortable.
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.
We favor people who are similar to us or who like us.
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'.
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 Courtesy 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 Courtesy Bias
- What is Courtesy Bias?
- Courtesy Bias is giving polite rather than honest answers to avoid offense. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0200, within the Social family. The core principle: giving polite rather than honest answers to avoid offense. 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 Courtesy Bias?
- Customer-feedback systems systematically over-report satisfaction. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-COG-0200).
- How is Courtesy Bias exploited?
- Customer-feedback systems systematically over-report satisfaction.
- How do you design around Courtesy Bias?
- Use behavioral data over self-reported data. Make dissent comfortable.
- Which behavioral dimension does Courtesy Bias belong to?
- Courtesy Bias is classified in the Cognition dimension (COG) of the Human Behavior Taxonomy™, family "Social", class "Mental Model". Its permanent identifier is HBT-COG-0200 and its evidence grade is B.