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HBT-COG-0412 · Dimension COG · Cognition

Inversion

Solve forward by asking how to fail.

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

Inversion is solve forward by asking how to fail. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0412, within the Reasoning family. The core principle: solve forward by asking how to fail. 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

Solve forward by asking how to fail.

Plain-English Definition

Solve forward by asking how to fail.

Feynman Explanation

Don't ask 'how do we win?' Ask 'how would we guarantee we lose?' Then avoid that.

Core Principle

Solve forward by asking how to fail.

Mechanisms

Psychological

Pending editorial review.

Behavioral Economic

Solve forward by asking how to fail.

Neurological

Pending editorial review.

Evolutionary

Pending editorial review.

Sociological

Pending editorial review.

Computational

Pending editorial review.

Systems

Pre-mortems and stress-tests on flagship initiatives.

Inputs (Triggers)

Pending editorial review.

Outputs (Behaviors)

Pending editorial review.

Behavioral Signature

Don't ask 'how do we win?' Ask 'how would we guarantee we lose?' Then avoid that.

Examples

Everyday
  • Charlie Munger: 'All I want to know is where I'm going to die, so I never go there.'
Modern (Organizational)
  • Pre-mortems and stress-tests on flagship initiatives.
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

This is one of the elements leaders describe as a values gap. It is a payoff gap. The mechanism underneath it is straightforward: solve forward by asking how to fail. You can recognize it in the field by its signature: don't ask 'how do we win?' Ask 'how would we guarantee we lose?' Then avoid that. 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, pre-mortems and stress-tests on flagship initiatives. It is amplified whenever pre-mortems and stress-tests on flagship initiatives. Inside organizations that shows up as pre-mortems and stress-tests on flagship initiatives. 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 run an 'evil twin' exercise: how would a saboteur kill this plan?. Measure the behavior, not the sentiment. A survey will tell you how people feel about this; only observed action tells you whether it changed.

Famous Experiments

Pending editorial review.

Design Principles

  • Run an 'evil twin' exercise: how would a saboteur kill this plan?

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
Pre-mortems and stress-tests on flagship initiatives.
Amplifying Incentives
Pre-mortems and stress-tests on flagship initiatives.
Org Failure Modes
Pre-mortems and stress-tests on flagship initiatives.
Societal Failure Modes
Pending editorial review (HBT v1.0 auto-seed).
Ethical Considerations
Pending editorial review (HBT v1.0 auto-seed).
Redesign Strategies
Run an 'evil twin' exercise: how would a saboteur kill this plan?
Diagnostic Questions
  • Run an 'evil twin' exercise: how would a saboteur kill this plan?
Warning Signs

Pending editorial review.

Red Flags

Pending editorial review.

Intervention Playbook
Individual
Run an 'evil twin' exercise: how would a saboteur kill this plan?
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-0412 · COG
Inversion
InAbAbstractionsABAdaptive BiasABAdditive BiasAAAffirming a DisjunctADAgent DetectionARAlder's RazorAlAlgorithmsAMAll Models Are WrongABAllegiance BiasAFAnecdotal Fallacy

Knowledge Graph Neighbors

Where Inversion is cited in the corpus

Questions about Inversion

What is Inversion?
Inversion is solve forward by asking how to fail. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0412, within the Reasoning family. The core principle: solve forward by asking how to fail. 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 Inversion?
Pre-mortems and stress-tests on flagship initiatives. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-COG-0412).
How is Inversion exploited?
Pre-mortems and stress-tests on flagship initiatives.
How do you design around Inversion?
Run an 'evil twin' exercise: how would a saboteur kill this plan?
Which behavioral dimension does Inversion belong to?
Inversion is classified in the Cognition dimension (COG) of the Human Behavior Taxonomy™, family "Reasoning", class "Mental Model". Its permanent identifier is HBT-COG-0412 and its evidence grade is B.

Version History

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