Cobra Effect is a reward designed to reduce X produces more X. It sits in the Incentives dimension (INC) of the Human Behavior Taxonomy™ as element HBT-INC-0064, within the Universal Pattern Perverse Pattern family. The core principle: a reward designed to reduce X produces more X. 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
A reward designed to reduce X produces more X.
Plain-English Definition
A reward designed to reduce X produces more X.
Feynman Explanation
Pay for dead cobras; get cobra farms.
Core Principle
A reward designed to reduce X produces more X.
Mechanisms
Pending editorial review.
A reward designed to reduce X produces more X.
Pending editorial review.
Pending editorial review.
Bug bounties producing intentional bugs. KPIs producing the metric without the value.
Pending editorial review.
Pending editorial review.
Inputs (Triggers)
Pending editorial review.
Outputs (Behaviors)
Pending editorial review.
Behavioral Signature
Pay for dead cobras; get cobra farms.
Examples
- British colonial India: bounty on cobras led locals to breed cobras for cash.
- Bug bounties producing intentional bugs. KPIs producing the metric without the value.
Pending editorial review.
Original analysis from The Incentives Lab — how this element behaves inside real payoff structures.
Why this element matters to incentive design
The mistake with this element is treating it as irrationality. It is almost always a rational response to a payoff nobody wrote down. The mechanism underneath it is straightforward: a reward designed to reduce X produces more X. You can recognize it in the field by its signature: pay for dead cobras; get cobra farms. 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, bug bounties producing intentional bugs. KPIs producing the metric without the value. It is amplified whenever bug bounties producing intentional bugs. KPIs producing the metric without the value. Inside organizations that shows up as bug bounties producing intentional bugs. KPIs producing the metric without the value. 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 red-team every new incentive: how would I game this?. Design against it the way you would design against a known failure mode — assume it will appear, and price the exploit before someone finds it.
Famous Experiments
Pending editorial review.
Design Principles
- Red-team every new incentive: how would I game this?
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.
- Red-team every new incentive: how would I game this?
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.
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.
Systems with weak corrective feedback drift unchecked into failure modes.
Where Cobra Effect 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.
- 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 Cobra Effect
- What is Cobra Effect?
- Cobra Effect is a reward designed to reduce X produces more X. It sits in the Incentives dimension (INC) of the Human Behavior Taxonomy™ as element HBT-INC-0064, within the Universal Pattern Perverse Pattern family. The core principle: a reward designed to reduce X produces more X. 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 Cobra Effect?
- Bug bounties producing intentional bugs. KPIs producing the metric without the value. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-INC-0064).
- How is Cobra Effect exploited?
- Bug bounties producing intentional bugs. KPIs producing the metric without the value.
- How do you design around Cobra Effect?
- Red-team every new incentive: how would I game this?
- Which behavioral dimension does Cobra Effect belong to?
- Cobra Effect 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-0064 and its evidence grade is C.