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HBT-COG-0048 · Dimension COG · Cognition

Appeal to Nature

If it's 'natural,' it's good.

Relevance Fallacy·Logical Fallacy·Grade B·stub· enriching…
In one paragraph

Appeal to Nature is if it's 'natural,' it's good. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0048, within the Relevance Fallacy family. The core principle: if it's 'natural,' it's good. 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

If it's 'natural,' it's good.

Plain-English Definition

If it's 'natural,' it's good.

Feynman Explanation

Arsenic is natural. So is tetanus.

Core Principle

If it's 'natural,' it's good.

Mechanisms

Psychological

If it's 'natural,' it's good.

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

Arsenic is natural. So is tetanus.

Examples

Everyday
  • 'It feels more human' offered as a strategic argument.
Modern (Organizational)
  • Decisions rationalized with metaphysics, not metrics.
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

When this element shows up in a diagnostic, the instinct is to train people out of it. Training rarely moves it. The mechanism underneath it is straightforward: if it's 'natural,' it's good. You can recognize it in the field by its signature: arsenic is natural. So is tetanus. 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, decisions rationalized with metaphysics, not metrics. It is amplified whenever decisions rationalized with metaphysics, not metrics. Inside organizations that shows up as decisions rationalized with metaphysics, not metrics. 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 make the desired behavior observable, remove whatever currently pays for its opposite, and attach the reward to the behavior rather than to the noisy outcome downstream of it. The test of any redesign here is simple: after the change, can you name what the organization is now doing less of? If not, the payoff structure did not actually move.

Famous Experiments

Pending editorial review.

Design Principles

Pending editorial review.

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
Decisions rationalized with metaphysics, not metrics.
Amplifying Incentives
Decisions rationalized with metaphysics, not metrics.
Org Failure Modes
Decisions rationalized with metaphysics, not metrics.
Societal Failure Modes
Pending editorial review (HBT v1.0 auto-seed).
Ethical Considerations
Pending editorial review (HBT v1.0 auto-seed).
Redesign Strategies
Pending editorial review (HBT v1.0 auto-seed).
Diagnostic Questions

Pending editorial review.

Warning Signs

Pending editorial review.

Red Flags

Pending editorial review.

Intervention Playbook
Individual
Pending editorial review (HBT v1.0 auto-seed).
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-0048 · COG
Appeal to Nature
ATAHAd HominemATAppeal to AuthorityATAppeal to Common SenseATAppeal to ConsequencesATAppeal to IgnoranceATAppeal to NoveltyATAppeal to TraditionAFArgument from Incred…AFArgument from Repeti…BFBandwagon Fallacy

Knowledge Graph Neighbors

Where Appeal to Nature is cited in the corpus

Questions about Appeal to Nature

What is Appeal to Nature?
Appeal to Nature is if it's 'natural,' it's good. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0048, within the Relevance Fallacy family. The core principle: if it's 'natural,' it's good. 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 Appeal to Nature?
Decisions rationalized with metaphysics, not metrics. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-COG-0048).
How is Appeal to Nature exploited?
Decisions rationalized with metaphysics, not metrics.
How do you design around Appeal to Nature?
Name the behavior you want in observable terms, remove what currently pays for the opposite, attach the reward to the behavior rather than a lagging proxy, and publish how you will detect gaming.
Which behavioral dimension does Appeal to Nature belong to?
Appeal to Nature is classified in the Cognition dimension (COG) of the Human Behavior Taxonomy™, family "Relevance Fallacy", class "Logical Fallacy". Its permanent identifier is HBT-COG-0048 and its evidence grade is B.

Version History

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