Risk Avoidance Equilibrium is punishing failure more than rewarding success kills the conditions for innovation. It sits in the Incentives dimension (INC) of the Human Behavior Taxonomy™ as element HBT-INC-0238, within the Universal Pattern Perverse Pattern family. The core principle: punishing failure more than rewarding success kills the conditions for innovation. 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
Punishing failure more than rewarding success kills the conditions for innovation.
Plain-English Definition
Punishing failure more than rewarding success kills the conditions for innovation.
Feynman Explanation
We praise the launch. We fire the launcher.
Core Principle
Punishing failure more than rewarding success kills the conditions for innovation.
Mechanisms
Pending editorial review.
Punishing failure more than rewarding success kills the conditions for innovation.
Pending editorial review.
Pending editorial review.
Asymmetric punishment-reward design predicts stagnation.
Pending editorial review.
Pending editorial review.
Inputs (Triggers)
Pending editorial review.
Outputs (Behaviors)
Pending editorial review.
Behavioral Signature
We praise the launch. We fire the launcher.
Examples
- Innovation-starved big companies despite stated mandates.
- Asymmetric punishment-reward design predicts stagnation.
Pending editorial review.
Original analysis from The Incentives Lab — how this element behaves inside real payoff structures.
Why this element matters to incentive design
Most organizations meet this element as a personnel problem. It is not one. The mechanism underneath it is straightforward: punishing failure more than rewarding success kills the conditions for innovation. You can recognize it in the field by its signature: we praise the launch. We fire the launcher. Every element in the Incentives 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, asymmetric punishment-reward design predicts stagnation. It is amplified whenever asymmetric punishment-reward design predicts stagnation. Inside organizations that shows up as asymmetric punishment-reward design predicts stagnation. 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 failure tolerance for well-formed bets. Portfolio review. 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
- Failure tolerance for well-formed bets. Portfolio review.
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.
- Failure tolerance for well-formed bets. Portfolio review.
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.
Once-a-year feedback rewards once-a-year behavior.
The more a quantitative indicator drives decisions, the more it distorts the process it measures.
Donors penalize 'overhead'; charities under-invest in capacity.
Donors penalize 'overhead' and starve capacity that produces outcomes.
A reward designed to reduce X produces more X.
Squeezing all slack from a system optimizes throughput but eliminates resilience.
'Equal value' exchanges incentivize subjective appraisal gaming to trade low-utility land for high-value public assets.
When a measure becomes a target, it ceases to be a good measure.
Deep specialization improves local output but breaks cross-domain understanding.
Greedy improvement loops climb hills that aren't the highest hill.
When rewards don't match stated values, culture quietly decays toward what is rewarded.
Insulation from risk changes the risks people take.
Where Risk Avoidance Equilibrium is cited in the corpus
Essays, field guides, and diagnostics from The Incentives Lab that apply this element.
- Field guideIncentives: definition, types, examples
The parent field guide for this element.
- ReferenceThe laws of incentives
Goodhart, Campbell, and the Cobra Effect.
- EssayIncentives Under Crisis
How this element behaves under pressure.
- ReferenceThe Periodic Table of Human Behavior
The full 1,267-element map this page belongs to.
- ReferenceThe incentive glossary
Definitions for every mental model, bias, and fallacy in the corpus.
Questions about Risk Avoidance Equilibrium
- What is Risk Avoidance Equilibrium?
- Risk Avoidance Equilibrium is punishing failure more than rewarding success kills the conditions for innovation. It sits in the Incentives dimension (INC) of the Human Behavior Taxonomy™ as element HBT-INC-0238, within the Universal Pattern Perverse Pattern family. The core principle: punishing failure more than rewarding success kills the conditions for innovation. 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 Avoidance Equilibrium?
- Asymmetric punishment-reward design predicts stagnation. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-INC-0238).
- How is Risk Avoidance Equilibrium exploited?
- Asymmetric punishment-reward design predicts stagnation.
- How do you design around Risk Avoidance Equilibrium?
- Failure tolerance for well-formed bets. Portfolio review.
- Which behavioral dimension does Risk Avoidance Equilibrium belong to?
- Risk Avoidance Equilibrium is classified in the Incentives dimension (INC) of the Human Behavior Taxonomy™, family "Universal Pattern Perverse Pattern", class "Perverse Incentive". Its permanent identifier is HBT-INC-0238 and its evidence grade is C.