All Models Are Wrong is every model simplifies reality; some are still useful. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0025, within the Reasoning family. The core principle: every model simplifies reality; some are still useful. 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
Every model simplifies reality; some are still useful.
Plain-English Definition
Every model simplifies reality; some are still useful.
Feynman Explanation
A map is not the territory, but it beats wandering blind.
Core Principle
Every model simplifies reality; some are still useful.
Mechanisms
Pending editorial review.
Every model simplifies reality; some are still useful.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Pending editorial review.
The best model is the one you remember to update.
Inputs (Triggers)
Pending editorial review.
Outputs (Behaviors)
Pending editorial review.
Behavioral Signature
A map is not the territory, but it beats wandering blind.
Examples
- Financial models are always wrong, yet they are still better than gut-only investing.
- The best model is the one you remember to update.
Pending editorial review.
Original analysis from The Incentives Lab — how this element behaves inside real payoff structures.
Why this element matters to incentive design
The mistake with this element is treating it as irrationality. It is almost always a rational response to a payoff nobody wrote down. The mechanism underneath it is straightforward: every model simplifies reality; some are still useful. You can recognize it in the field by its signature: a map is not the territory, but it beats wandering blind. 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 best model is the one you remember to update. It is amplified whenever the best model is the one you remember to update. Inside organizations that shows up as the best model is the one you remember to update. 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 label each model's known simplifications before using it. Treat it as infrastructure. Once you can see it in your own system, most of the argument about culture resolves itself.
Famous Experiments
Pending editorial review.
Design Principles
- Label each model's known simplifications before using it.
Measurement Approaches
Pending editorial review.
Evidence
Pending editorial review.
Pending editorial review.
The Perverse Incentive Lens™
How this behavior is exploited — and how to redesign around it.
- Label each model's known simplifications before using it.
Pending editorial review.
Pending editorial review.
Interactive Mini Network
Click any neighbor to re-center the graph and follow the threads of connection.
Knowledge Graph Neighbors
Auto-linked to the rest of the Human Behavior Taxonomy by family, domain, dimension, and shared keywords.
Deriving general rules from specific examples; the leap from instance to concept.
The brain evolved to reason adaptively, not always truthfully, to reduce the cost of errors.
We solve problems by adding, even when subtracting would be better.
Assuming that if one option is true, another must be false, when both can be true.
Presuming a purposeful actor behind events that may have no actor at all.
What cannot be settled by experiment is not worth debating.
A finite set of well-defined instructions for solving a problem or performing a computation.
Researchers favor conclusions aligned with their school, team, or sponsor.
Using personal stories or isolated examples instead of evidence.
Claiming something is true or better because most people believe it.
Assuming something is true because it is probable or possible.
Using an authority's opinion as evidence, regardless of its merits.
Where All Models Are Wrong is cited in the corpus
Essays, field guides, and diagnostics from The Incentives Lab that apply this element.
- EssayGoodhart's Law in the Real World
How measurable proxies capture judgment.
- EssayThe Perverse Incentives Hiding in Your KPIs
Cognitive shortcuts turned into scorecards.
- EssayAI Agents Inherit Your Incentives
How this element propagates into automated systems.
- CourseIncentives 101
The free ten-part primer on reading a payoff structure.
- ReferenceThe Periodic Table of Human Behavior
The full 1,267-element map this page belongs to.
Questions about All Models Are Wrong
- What is All Models Are Wrong?
- All Models Are Wrong is every model simplifies reality; some are still useful. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0025, within the Reasoning family. The core principle: every model simplifies reality; some are still useful. 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 All Models Are Wrong?
- The best model is the one you remember to update. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-COG-0025).
- How is All Models Are Wrong exploited?
- The best model is the one you remember to update.
- How do you design around All Models Are Wrong?
- Label each model's known simplifications before using it.
- Which behavioral dimension does All Models Are Wrong belong to?
- All Models Are Wrong is classified in the Cognition dimension (COG) of the Human Behavior Taxonomy™, family "Reasoning", class "Mental Model". Its permanent identifier is HBT-COG-0025 and its evidence grade is B.