Mental Models · Systems

Local Maximum

Optimizing in a small region while missing a better global solution.

"You climbed the tallest hill in the neighborhood, not the mountain."

Quick answer

What is Local Maximum? Optimizing in a small region while missing a better global solution. Incremental optimization can trap you far from the best answer.

In the wild

Refining a current product instead of exploring a disruptive new model.

Why it matters in the room

Incremental optimization can trap you far from the best answer.

Counter-move

Periodically explore radically different alternatives, not just refinements.

Visual · Pattern

Local Maximum — a recurring shape in how people decide.

Live example · Apply Local Maximum

Use the model. Pick the move.

Optimizing in a small region while missing a better global solution. You've just seen this: Refining a current product instead of exploring a disruptive new model. Which lever does the model recommend?

● Live

Pick a lever. There are no neutral ones — every incentive funds a behavior somewhere.

How does this land?

Pick a reaction to Local Maximum

One tap. We'll point you at the most useful next surface based on how this hits.

Human Behavior Element™ · HBE Spec

The full taxonomy entry

Every concept in the Atlas uses the same structure — so Local Maximum can be compared, recombined, and cited like an element on a periodic table.

About the standard →

HBT-M7518

Official name

Local Maximum

Mental Models · Systems

Identity

HBT ID

HBT-M7518

Symbol

Official name

Local Maximum

Synonyms

Systems

Keywords

Mental Models, Systems, human behavior, incentive design

Version

v1.0

Last updated

Maintained by The Incentives Lab

Classification

Kingdom

Cognition

Domain

Frameworks

Family

Mental Model

Class

Systems

Element

Local Maximum

Definition

Scientific

Optimizing in a small region while missing a better global solution.

Plain-English

Optimizing in a small region while missing a better global solution.

Feynman

You climbed the tallest hill in the neighborhood, not the mountain.

Core principle

Optimizing in a small region while missing a better global solution.

One-sentence summary

Incremental optimization can trap you far from the best answer.

Mechanisms

Psychological

Optimizing in a small region while missing a better global solution.

Behavioral econ.

Incremental optimization can trap you far from the best answer.

Neurological

Reward, threat, and salience circuits bias attention toward the cue.

Evolutionary

Heuristics that paid off in ancestral environments now misfire in modern systems.

Sociological

Group norms and status incentives reinforce the pattern across a team.

Computational

Models trained on biased human signals will replicate and amplify the pattern.

Systems thinking

Feedback loops between metrics, incentives, and behavior lock the pattern in place.

Signals & signature

Inputs (activators)

Refining a current product instead of exploring a disruptive new model.

Outputs (observable)

Incremental optimization can trap you far from the best answer.

Behavioral signature

You see Local Maximum when the explanation for a decision sounds reasonable but the outcome keeps repeating.

Behavioral molecules

Often combines with related Atlas entries — see the rail below.

Pathways · before

A goal, metric, or contract clause makes the behavior rational locally.

Pathways · after

Locally rational choices accumulate into a systemic distortion.

Domains where it shows up

Business
Leadership
Government
Healthcare
Education
Sales
Marketing
AI
Negotiation
Media
Public Policy
Relationships

Examples

Everyday

Refining a current product instead of exploring a disruptive new model.

Modern

Incremental optimization can trap you far from the best answer.

Historical

A pattern repeatedly documented since the foundational behavioral science literature on mental model.

Famous experiments

See the References block — primary papers in the Atlas link out to the original studies.

Design principles

How to leverage

Incremental optimization can trap you far from the best answer.

How to reduce

Periodically explore radically different alternatives, not just refinements.

How to redesign

Periodically explore radically different alternatives, not just refinements.

The Perverse Incentive Lens™

How it's exploited

Organizations weaponize local maximum — sometimes deliberately, often by accident — when metrics reward the symptom rather than the outcome.

Common perverse incentives

Volume metrics, short review windows, bonus cliffs, and contracts that pay on activity rather than impact.

Failure modes

When Local Maximum dominates, teams optimize for the dashboard while the real outcome quietly degrades.

Incentive redesign

Periodically explore radically different alternatives, not just refinements.

Ethical considerations

Don't engineer local maximum into customers, employees, or citizens as a manipulation tactic — design for informed choice instead.

Diagnostic questions

Where in our org would Local Maximum most often show up unnoticed?
Which metric, ritual, or contract clause quietly rewards Local Maximum?
If we removed every payoff for Local Maximum, what behavior would replace it?
Who benefits when Local Maximum persists — and who pays the cost?

Organizational warning signs

Metrics

A KPI is hit while the underlying outcome stalls or worsens.

Behaviors

People route around the rule rather than challenge it.

Language

'That's just how we do it here.' / 'The system requires it.'

Culture

Naming the pattern is treated as disloyalty.

Red flags

People defend the status quo using the language of local maximum.
Decisions cluster around the easiest narrative rather than the strongest evidence.
New data changes the slide deck but not the decision.
Anyone naming the pattern is treated as the problem.

Intervention playbook

Immediate

Make the perverse payoff visible to the people creating it.

30-day

Run a small pilot that pays for the outcome, not the proxy.

Long-term

Rewrite the comp plan, contract, or ritual so the right behavior becomes the easy behavior.

AI considerations

Detect

Audit training data and reward signals for the same pattern this element describes.

Avoid amplifying

Don't optimize models on metrics that already encode the perverse incentive.

Counteract

Use the model to surface where the pattern is most active, then redesign the incentive — not the model.

Measurement

Metrics

Outcome-to-proxy ratio over time.

Assessment

The Incentives Lab III Diagnostic.

Survey

Calibrated pulse questions on rules vs. outcomes.

Behavioral signals

Where people work around the system.

Observational

Where the dashboard and the lived experience disagree.

Scientific evidence

Evidence grade

Synthesized from the behavioral science literature; see Atlas references.

Replication

Tracked in the Atlas as primary, replicated, or contested.

Intervention confidence

Moderate — patterns generalize, mechanisms vary by context.

Research consensus

Broad agreement on the pattern; ongoing debate on boundary conditions.

Known limitations

Local context, culture, and incentive structure all change the strength of the effect.

Open questions

How does Local Maximum interact with AI-mediated decisions at scale?

References

Primary papers

See the Research Center →

Books

Curated in the Magazine →

Meta-analyses

Tracked in the Atlas registry.

Seminal authors

Kahneman, Tversky, Thaler, Ariely, Cialdini, Ostrom, Simon — and the field they built.

Cross references

Every Atlas entry is a node in a knowledge graph. See the related rail below to follow the connections.

Disciplinary layers

See Local Maximum through 2 lenses

Each layer of the Incentives OS reframes this concept with its own thinkers, vocabulary, and diagnostic question.

Test yourself · 60 seconds

Do you actually know Local Maximum?

Three quick questions. Result is saved into your review streak — come back when the term is due to lock it in.

Question 1 of 3Score: 0/3

Which best describes Local Maximum?

Go deeper

Worked example, counter-example & concept map

On-demand AI analysis grounded in the Lab's research. Cached on your device after first run.

Diagnose

Find this pattern in your org →

15-minute III Assessment.

Learn

Master incentive intelligence →

12-week Executive Course.

Engage

Bring the Lab to your team →

Speaking, retainers, training.

How this lands in you

Your nervous system has a region for this.

Primary region

Prefrontal Cortex →

When you encounter Local Maximum, your prefrontal cortex has to do extra work to override the automatic response — and that override budget is finite.

Executive control, planning, impulse override, working memory, System 2. First thing to go offline under stress, fatigue, or low blood sugar. Why your 4pm decisions are worse than your 9am ones.

See Prefrontal in the Brain Atlas →