Meta-Model is a set of language patterns that recover missing information from vague statements — deletions, distortions, generalizations. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0470, within the Reasoning family. The core principle: a set of language patterns that recover missing information from vague statements — deletions, distortions, generalizations. 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
A set of language patterns that recover missing information from vague statements — deletions, distortions, generalizations.
Plain-English Definition
A set of language patterns that recover missing information from vague statements — deletions, distortions, generalizations.
Feynman Explanation
'They always do that' is a sentence with three problems. The meta-model finds all three.
Core Principle
A set of language patterns that recover missing information from vague statements — deletions, distortions, generalizations.
Mechanisms
Pending editorial review.
A set of language patterns that recover missing information from vague statements — deletions, distortions, generalizations.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Coaching, requirements gathering, due diligence interviews.
Inputs (Triggers)
Pending editorial review.
Outputs (Behaviors)
Pending editorial review.
Behavioral Signature
'They always do that' is a sentence with three problems. The meta-model finds all three.
Examples
- Bandler & Grinder, 'The Structure of Magic' (1975).
- Coaching, requirements gathering, due diligence interviews.
Pending editorial review.
Original analysis from The Incentives Lab — how this element behaves inside real payoff structures.
Why this element matters to incentive design
Executives usually notice this element only after it has cost something. By then it looks like a one-off. It is not. The mechanism underneath it is straightforward: a set of language patterns that recover missing information from vague statements — deletions, distortions, generalizations. You can recognize it in the field by its signature: 'They always do that' is a sentence with three problems. The meta-model finds all three. 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, coaching, requirements gathering, due diligence interviews. It is amplified whenever coaching, requirements gathering, due diligence interviews. Inside organizations that shows up as coaching, requirements gathering, due diligence interviews. 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 three questions for any vague claim: who specifically, how specifically, compared to what. 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
- Three questions for any vague claim: who specifically, how specifically, compared to what.
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.
- Three questions for any vague claim: who specifically, how specifically, compared to what.
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.
Every model simplifies reality; some are still useful.
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.
Where Meta-Model 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 incentive glossary
Definitions for every mental model, bias, and fallacy in the corpus.
- ReferenceThe Periodic Table of Human Behavior
The full 1,267-element map this page belongs to.
Questions about Meta-Model
- What is Meta-Model?
- Meta-Model is a set of language patterns that recover missing information from vague statements — deletions, distortions, generalizations. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0470, within the Reasoning family. The core principle: a set of language patterns that recover missing information from vague statements — deletions, distortions, generalizations. 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 Meta-Model?
- Coaching, requirements gathering, due diligence interviews. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-COG-0470).
- How is Meta-Model exploited?
- Coaching, requirements gathering, due diligence interviews.
- How do you design around Meta-Model?
- Three questions for any vague claim: who specifically, how specifically, compared to what.
- Which behavioral dimension does Meta-Model belong to?
- Meta-Model is classified in the Cognition dimension (COG) of the Human Behavior Taxonomy™, family "Reasoning", class "Mental Model". Its permanent identifier is HBT-COG-0470 and its evidence grade is B.