Adverse Selection
Asymmetric information attracts the worst counterparties.
"If only the desperate buy your insurance, you have a pricing problem."
What is Adverse Selection? Asymmetric information attracts the worst counterparties. Loose qualification criteria recruit exactly the customers you can't profitably serve.
Health plans that don't screen end up insuring the sickest pool.
Loose qualification criteria recruit exactly the customers you can't profitably serve.
Open APIs without rate limits attract scrapers, not customers.
Use signals (screens, deposits, references) that good counterparties will pay.
Pick a reaction to Adverse Selection
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 Adverse Selection 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 Adverse Selection most often show up unnoticed?
- Which metric, ritual, or contract clause quietly rewards Adverse Selection?
- If we removed every payoff for Adverse Selection, what behavior would replace it?
- Who benefits when Adverse Selection persists — and who pays the cost?
- People defend the status quo using the language of adverse selection.
- 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 Adverse Selection through 2 lenses
Each layer of the Incentives OS reframes this concept with its own thinkers, vocabulary, and diagnostic question.
Do you actually know Adverse Selection?
Three quick questions. Result is saved into your review streak — come back when the term is due to lock it in.
Which best describes Adverse Selection?
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 Adverse Selection, 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.
Signals whose value depends on being expensive to fake.
A cost or benefit borne by someone outside the transaction.
Costly actions that credibly communicate hard-to-observe traits.
Clear ownership of outcomes, not just tasks.
AI investment outpacing measurable productivity gains.
Exploiting price differences between markets for risk-free profit.
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.
Deliberately false information spread to deceive.
False information presented as legitimate journalism.
Cue → routine → reward.
Redesigning roles around AI capability.
Originators paid on volume, not on default rates.
B followed A, therefore A caused B.
Return-to-office mandated for visibility, not productivity.
Have a thesis. Update it on evidence.
Trust deepens when people can admit weakness without penalty.
Treating AI as more humanlike than it is.
Remembering more context around a scene than was actually present.
GPU access and pricing shape what's feasible.