Risk Compensation is people take more risks when they feel safer. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0586, within the Risk family. The core principle: people take more risks when they feel safer. 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
People take more risks when they feel safer.
Plain-English Definition
People take more risks when they feel safer.
Feynman Explanation
Seatbelts make some drivers speed.
Core Principle
People take more risks when they feel safer.
Mechanisms
Pending editorial review.
People take more risks when they feel safer.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Safety measures can be undermined by behavioral responses.
Inputs (Triggers)
Pending editorial review.
Outputs (Behaviors)
Pending editorial review.
Behavioral Signature
Seatbelts make some drivers speed.
Examples
- Better cybersecurity leads employees to use weaker passwords.
- Safety measures can be undermined by behavioral responses.
Pending editorial review.
Original analysis from The Incentives Lab — how this element behaves inside real payoff structures.
Why this element matters to incentive design
This is one of the elements leaders describe as a values gap. It is a payoff gap. The mechanism underneath it is straightforward: people take more risks when they feel safer. You can recognize it in the field by its signature: seatbelts make some drivers speed. 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, safety measures can be undermined by behavioral responses. It is amplified whenever safety measures can be undermined by behavioral responses. Inside organizations that shows up as safety measures can be undermined by behavioral responses. 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 monitor behavior after safety improvements, not just outcomes. 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
- Monitor behavior after safety improvements, not just outcomes.
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.
- Monitor behavior after safety improvements, not just outcomes.
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.
Preferring options with known probabilities over options with unknown ones.
We overweight outcomes that are certain relative to merely probable ones.
Convex payoffs gain more than they lose; concave do the opposite.
Influence tactics weaponized — manipulation, coercion, exploitation of trust.
Dread weighs roughly double in our calculus what the equivalent gain does.
Build buffers so small mistakes don't become fatal.
Frequent evaluation amplifies loss aversion and produces overly conservative behavior.
The moment after which reversing a course becomes impossible or extremely costly.
We overweight tiny probabilities of large gains or losses.
We ignore probability when outcomes are emotionally charged.
Risk has known probabilities. Uncertainty doesn't.
Risk decisions are driven by current emotion — not just by computed probabilities.
Where Risk Compensation 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.
- EssayThe Comp Plan Is the Strategy
Where this element meets compensation design.
- CourseIncentives 101
The free ten-part primer on reading a payoff structure.
- 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 Risk Compensation
- What is Risk Compensation?
- Risk Compensation is people take more risks when they feel safer. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0586, within the Risk family. The core principle: people take more risks when they feel safer. 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 Risk Compensation?
- Safety measures can be undermined by behavioral responses. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-COG-0586).
- How is Risk Compensation exploited?
- Safety measures can be undermined by behavioral responses.
- How do you design around Risk Compensation?
- Monitor behavior after safety improvements, not just outcomes.
- Which behavioral dimension does Risk Compensation belong to?
- Risk Compensation is classified in the Cognition dimension (COG) of the Human Behavior Taxonomy™, family "Risk", class "Mental Model". Its permanent identifier is HBT-COG-0586 and its evidence grade is B.