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HBT-COG-0349 · Dimension COG · Cognition

Gresham's Law

Bad money drives out good when both are legally equivalent.

Economics·Mental Model·Grade B·draft· enriching…
In one paragraph

Gresham's Law is bad money drives out good when both are legally equivalent. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0349, within the Economics family. The core principle: bad money drives out good when both are legally equivalent. 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

Bad money drives out good when both are legally equivalent.

Plain-English Definition

Bad money drives out good when both are legally equivalent.

Feynman Explanation

The easy-to-fake replaces the hard-to-fake.

Core Principle

Bad money drives out good when both are legally equivalent.

Mechanisms

Psychological

Pending editorial review.

Behavioral Economic

Bad money drives out good when both are legally equivalent.

Neurological

Pending editorial review.

Evolutionary

Pending editorial review.

Sociological

Pending editorial review.

Computational

Pending editorial review.

Systems

Incentives can reward cheap signals over real value.

Inputs (Triggers)

Pending editorial review.

Outputs (Behaviors)

Pending editorial review.

Behavioral Signature

The easy-to-fake replaces the hard-to-fake.

Examples

Everyday
  • Low-quality content crowds out high-quality content in attention markets.
Modern (Organizational)
  • Incentives can reward cheap signals over real value.
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

Most organizations meet this element as a personnel problem. It is not one. The mechanism underneath it is straightforward: bad money drives out good when both are legally equivalent. You can recognize it in the field by its signature: the easy-to-fake replaces the hard-to-fake. 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, incentives can reward cheap signals over real value. It is amplified whenever incentives can reward cheap signals over real value. Inside organizations that shows up as incentives can reward cheap signals over real 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 design quality signals that are costly to fake. Watch for it at the boundaries: handoffs, promotions, incident reviews, and budget cycles are where this element gets its power.

Famous Experiments

Pending editorial review.

Design Principles

  • Design quality signals that are costly to fake.

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
Incentives can reward cheap signals over real value.
Amplifying Incentives
Incentives can reward cheap signals over real value.
Org Failure Modes
Incentives can reward cheap signals over real value.
Societal Failure Modes
Pending editorial review (HBT v1.0 auto-seed).
Ethical Considerations
Pending editorial review (HBT v1.0 auto-seed).
Redesign Strategies
Design quality signals that are costly to fake.
Diagnostic Questions
  • Design quality signals that are costly to fake.
Warning Signs

Pending editorial review.

Red Flags

Pending editorial review.

Intervention Playbook
Individual
Design quality signals that are costly to fake.
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
Pending editorial review (HBT v1.0 auto-seed).
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-COG-0349 · COG
Gresham's Law
GLArArbitrageBEBehavioral EconomicsCTCoase TheoremCAComparative AdvantageCSComplements & Substi…CFCosts (Fixed vs. Var…CDCreative DestructionDRDiminishing ReturnsDMDual-Self ModelEEEndowment Effect (Be…

Knowledge Graph Neighbors

Where Gresham's Law is cited in the corpus

Questions about Gresham's Law

What is Gresham's Law?
Gresham's Law is bad money drives out good when both are legally equivalent. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0349, within the Economics family. The core principle: bad money drives out good when both are legally equivalent. 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 Gresham's Law?
Incentives can reward cheap signals over real value. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-COG-0349).
How is Gresham's Law exploited?
Incentives can reward cheap signals over real value.
How do you design around Gresham's Law?
Design quality signals that are costly to fake.
Which behavioral dimension does Gresham's Law belong to?
Gresham's Law is classified in the Cognition dimension (COG) of the Human Behavior Taxonomy™, family "Economics", class "Mental Model". Its permanent identifier is HBT-COG-0349 and its evidence grade is B.

Version History

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