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HBT-COG-0564 · Dimension COG · Cognition

Recency Bias

Overweighting whatever just happened.

Memory Bias·Cognitive Bias·Grade B·draft· enriching…
In one paragraph

Recency Bias is overweighting whatever just happened. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0564, within the Memory Bias family. The core principle: overweighting whatever just happened. 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

Overweighting whatever just happened.

Plain-English Definition

Overweighting whatever just happened.

Feynman Explanation

One bad quarter is now the personality of the whole strategy.

Core Principle

Overweighting whatever just happened.

Mechanisms

Psychological

Overweighting whatever just happened.

Behavioral Economic

Pending editorial review.

Neurological

Pending editorial review.

Evolutionary

Pending editorial review.

Sociological

Pending editorial review.

Computational

Pending editorial review.

Systems

Pending editorial review.

Inputs (Triggers)

Pending editorial review.

Outputs (Behaviors)

Pending editorial review.

Behavioral Signature

One bad quarter is now the personality of the whole strategy.

Examples

Everyday
  • Last week's customer complaint reshapes a 10-year roadmap.
Modern (Organizational)
  • Strategy whiplash; teams replan around whatever's still warm.
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

Executives usually notice this element only after it has cost something. By then it looks like a one-off. It is not. The mechanism underneath it is straightforward: overweighting whatever just happened. You can recognize it in the field by its signature: one bad quarter is now the personality of the whole strategy. 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, the latest model demo distorts a two-year investment plan. It is amplified whenever strategy whiplash; teams replan around whatever's still warm. Inside organizations that shows up as strategy whiplash; teams replan around whatever's still warm. 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 compare current data against rolling multi-year baselines. The leverage is not in explaining the behavior to people. It is in changing what the behavior earns.

Famous Experiments

Pending editorial review.

Design Principles

  • Compare current data against rolling multi-year baselines.

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
The latest model demo distorts a two-year investment plan.
Amplifying Incentives
Strategy whiplash; teams replan around whatever's still warm.
Org Failure Modes
Strategy whiplash; teams replan around whatever's still warm.
Societal Failure Modes
Pending editorial review (HBT v1.0 auto-seed).
Ethical Considerations
Pending editorial review (HBT v1.0 auto-seed).
Redesign Strategies
Compare current data against rolling multi-year baselines.
Diagnostic Questions
  • Compare current data against rolling multi-year baselines.
Warning Signs

Pending editorial review.

Red Flags

Pending editorial review.

Intervention Playbook
Individual
Compare current data against rolling multi-year baselines.
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
The latest model demo distorts a two-year investment plan.
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-0564 · COG
Recency Bias
RBAHAvailability HeuristicCBChoice-Supportive BiasHBHindsight BiasPRPeak-End RuleRRRosy RetrospectionABAction BiasAHAffect HeuristicAAAmbiguity AversionABAnchoring BiasApApophenia

Knowledge Graph Neighbors

Where Recency Bias is cited in the corpus

Questions about Recency Bias

What is Recency Bias?
Recency Bias is overweighting whatever just happened. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0564, within the Memory Bias family. The core principle: overweighting whatever just happened. 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 Recency Bias?
Strategy whiplash; teams replan around whatever's still warm. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-COG-0564).
How is Recency Bias exploited?
The latest model demo distorts a two-year investment plan.
How do you design around Recency Bias?
Compare current data against rolling multi-year baselines.
Which behavioral dimension does Recency Bias belong to?
Recency Bias is classified in the Cognition dimension (COG) of the Human Behavior Taxonomy™, family "Memory Bias", class "Cognitive Bias". Its permanent identifier is HBT-COG-0564 and its evidence grade is B.

Version History

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