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The Incentives Lab
Fallacy · Statistical

Cherry-Picked Citations

Quoting only the studies that support the position.

"A bibliography is also an opinion."

Quick answer

What is Cherry-Picked Citations? Quoting only the studies that support the position. Internal research conclusions engineered upstream of analysis.

In the wild

Whitepapers that cite only the wins.

Why it matters in the room

Internal research conclusions engineered upstream of analysis.

Visual · Broken inference
P1P2P3P4∴ ?
Cherry-Picked Citations chains valid-looking steps to an invalid conclusion.
Live example · Feel cherry-picked citations

Drag yourself across Cherry-Picked Citations.

Real scene: Whitepapers that cite only the wins. The pull below is the same one cherry-picked citations exerts on the call. Find the position where you stop being able to defend yourself with logic.

● Live
Trust the dataTrust the gut
040100
Calibrated

In the room: Internal research conclusions engineered upstream of analysis.

How does this land?

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Human Behavior Element™ · HBE Spec

The full taxonomy entry

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

About the standard →
F
CC
HBT-F7547
Official name
Cherry-Picked Citations
Fallacy · Statistical
Identity
HBT ID
HBT-F7547
Symbol
CC
Official name
Cherry-Picked Citations
Synonyms
Statistical
Keywords
Fallacy, Statistical, human behavior, incentive design
Version
v1.0
Last updated
Maintained by The Incentives Lab
Classification
Kingdom
Cognition
Domain
Reasoning
Family
Logical Fallacy
Class
Statistical
Element
Cherry-Picked Citations
Definition
Scientific
Quoting only the studies that support the position.
Plain-English
Quoting only the studies that support the position.
Feynman
A bibliography is also an opinion.
Core principle
Quoting only the studies that support the position.
One-sentence summary
Internal research conclusions engineered upstream of analysis.
Mechanisms
Psychological
Quoting only the studies that support the position.
Behavioral econ.
Internal research conclusions engineered upstream of analysis.
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)
Whitepapers that cite only the wins.
Outputs (observable)
Internal research conclusions engineered upstream of analysis.
Behavioral signature
You see Cherry-Picked Citations 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
Whitepapers that cite only the wins.
Modern
Internal research conclusions engineered upstream of analysis.
Historical
A pattern repeatedly documented since the foundational behavioral science literature on logical fallacy.
Famous experiments
See the References block — primary papers in the Atlas link out to the original studies.
Design principles
How to leverage
Internal research conclusions engineered upstream of analysis.
How to reduce
Make the perverse payoff visible; remove or invert it.
How to redesign
Redesign the incentive so cherry-picked citations stops being the path of least resistance.
The Perverse Incentive Lens™
How it's exploited
Organizations weaponize cherry-picked citations — 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 Cherry-Picked Citations dominates, teams optimize for the dashboard while the real outcome quietly degrades.
Incentive redesign
Pay for the outcome you actually want; remove rewards for behavior that only looks like the outcome.
Ethical considerations
Don't engineer cherry-picked citations into customers, employees, or citizens as a manipulation tactic — design for informed choice instead.
Diagnostic questions
  • Where in our org would Cherry-Picked Citations most often show up unnoticed?
  • Which metric, ritual, or contract clause quietly rewards Cherry-Picked Citations?
  • If we removed every payoff for Cherry-Picked Citations, what behavior would replace it?
  • Who benefits when Cherry-Picked Citations 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 cherry-picked citations.
  • 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 Cherry-Picked Citations interact with AI-mediated decisions at scale?
References
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 Cherry-Picked Citations through this lens

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

Test yourself · 60 seconds

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

Question 1 of 2Score: 0/2

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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.

How this lands in you

Your nervous system has a region for this.

Primary region
Prefrontal Cortex

When you encounter Cherry-Picked Citations, 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 →
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