Abstractions is deriving general rules from specific examples; the leap from instance to concept. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0005, within the Reasoning family. The core principle: deriving general rules from specific examples; the leap from instance to concept. 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
Deriving general rules from specific examples; the leap from instance to concept.
Plain-English Definition
Deriving general rules from specific examples; the leap from instance to concept.
Feynman Explanation
A 'ball' is more abstract than 'this leather soccer ball'.
Core Principle
Deriving general rules from specific examples; the leap from instance to concept.
Mechanisms
Pending editorial review.
Deriving general rules from specific examples; the leap from instance to concept.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Strategy lives or dies by the right level of abstraction.
Inputs (Triggers)
Pending editorial review.
Outputs (Behaviors)
Pending editorial review.
Behavioral Signature
A 'ball' is more abstract than 'this leather soccer ball'.
Examples
- Treating 'customer' as a unified concept when you actually serve five distinct segments.
- Strategy lives or dies by the right level of abstraction.
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: deriving general rules from specific examples; the leap from instance to concept. You can recognize it in the field by its signature: a 'ball' is more abstract than 'this leather soccer ball'. 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, strategy lives or dies by the right level of abstraction. It is amplified whenever strategy lives or dies by the right level of abstraction. Inside organizations that shows up as strategy lives or dies by the right level of abstraction. 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 periodically zoom in to concrete instances and verify the abstraction still fits. 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
- Periodically zoom in to concrete instances and verify the abstraction still fits.
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.
- Periodically zoom in to concrete instances and verify the abstraction still fits.
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.
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.
Using an authority's opinion as evidence, regardless of its merits.
Where Abstractions 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.
- 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 Abstractions
- What is Abstractions?
- Abstractions is deriving general rules from specific examples; the leap from instance to concept. It sits in the Cognition dimension (COG) of the Human Behavior Taxonomy™ as element HBT-COG-0005, within the Reasoning family. The core principle: deriving general rules from specific examples; the leap from instance to concept. 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 Abstractions?
- Strategy lives or dies by the right level of abstraction. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-COG-0005).
- How is Abstractions exploited?
- Strategy lives or dies by the right level of abstraction.
- How do you design around Abstractions?
- Periodically zoom in to concrete instances and verify the abstraction still fits.
- Which behavioral dimension does Abstractions belong to?
- Abstractions is classified in the Cognition dimension (COG) of the Human Behavior Taxonomy™, family "Reasoning", class "Mental Model". Its permanent identifier is HBT-COG-0005 and its evidence grade is B.