Abstractions
Deriving general rules from specific examples; the leap from instance to concept.
"A 'ball' is more abstract than 'this leather soccer ball'."
What is Abstractions? Deriving general rules from specific examples; the leap from instance to concept. Strategy lives or dies by the right level of abstraction.
Treating 'customer' as a unified concept when you actually serve five distinct segments.
Strategy lives or dies by the right level of abstraction.
Periodically zoom in to concrete instances and verify the abstraction still fits.
Use the model. Pick the move.
Deriving general rules from specific examples; the leap from instance to concept. You've just seen this: Treating 'customer' as a unified concept when you actually serve five distinct segments. Which lever does the model recommend?
Pick a lever. There are no neutral ones — every incentive funds a behavior somewhere.
Pick a reaction to Abstractions
One tap. We'll point you at the most useful next surface based on how this hits.
The full taxonomy entry
Every concept in the Atlas uses the same structure — so Abstractions can be compared, recombined, and cited like an element on a periodic table.
- Business
- Leadership
- Government
- Healthcare
- Education
- Sales
- Marketing
- AI
- Negotiation
- Media
- Public Policy
- Relationships
- Where in our org would Abstractions most often show up unnoticed?
- Which metric, ritual, or contract clause quietly rewards Abstractions?
- If we removed every payoff for Abstractions, what behavior would replace it?
- Who benefits when Abstractions persists — and who pays the cost?
- People defend the status quo using the language of abstractions.
- Decisions cluster around the easiest narrative rather than the strongest evidence.
- New data changes the slide deck but not the decision.
- Anyone naming the pattern is treated as the problem.
Every Atlas entry is a node in a knowledge graph. See the related rail below to follow the connections.
See Abstractions through 2 lenses
Each layer of the Incentives OS reframes this concept with its own thinkers, vocabulary, and diagnostic question.
Do you actually know Abstractions?
Three quick questions. Result is saved into your review streak — come back when the term is due to lock it in.
Which best describes Abstractions?
Worked example, counter-example & concept map
On-demand AI analysis grounded in the Lab's research. Cached on your device after first run.
When you encounter Abstractions, your prefrontal cortex has to do extra work to override the automatic response — and that override budget is finite.
Executive control, planning, impulse override, working memory, System 2. First thing to go offline under stress, fatigue, or low blood sugar. Why your 4pm decisions are worse than your 9am ones.
See Prefrontal in the Brain Atlas →Picked for you, from the Atlas
Ranked by shared learning paths, overlapping chips, and what you've saved.
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.
Send the card, not just the link
A pre-rendered social card with the title, eyebrow, and URL. Copy the link, post it anywhere, or download the SVG for slides.
More definitions to follow
Every term in the Atlas connects to a dozen others. Pick any of these and see where it takes you.
When all you have is a hammer, everything looks like a nail.
Most outcomes come from a few causes.
Adversarial review by an internal opposition.
Unwritten rules of behavior — descriptive (what people do) or injunctive (what people approve of).
Visible information about decisions, processes, and tradeoffs.
Logging of AI inputs, outputs, and decisions.
Assuming the conclusion in the premise.
Seeing patterns in random data.
The drive to explore and understand for its own sake.
Owning something raises its valuation — sellers want more to give it up than buyers will pay to acquire.
Vague personality descriptions feel uniquely accurate.
We overestimate the intensity and duration of emotional reactions.