Infinite Scroll Trap
Removing natural stopping cues turns intentional use into compulsive use.
"The pause used to be the product."
What is Infinite Scroll Trap? Removing natural stopping cues turns intentional use into compulsive use. Design pattern as time-extraction mechanism.
Pagination-to-infinite-scroll conversions across feeds.
Design pattern as time-extraction mechanism.
Optional stopping cues. Session-budget defaults.
Flip the incentive. Watch the side-effect move.
Removing natural stopping cues turns intentional use into compulsive use. Caught in the wild: Pagination-to-infinite-scroll conversions across feeds.
In the room: Design pattern as time-extraction mechanism.
Counter-move from the Atlas: Optional stopping cues.
Pick a reaction to Infinite Scroll Trap
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 Infinite Scroll Trap 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 Infinite Scroll Trap most often show up unnoticed?
- Which metric, ritual, or contract clause quietly rewards Infinite Scroll Trap?
- If we removed every payoff for Infinite Scroll Trap, what behavior would replace it?
- Who benefits when Infinite Scroll Trap persists — and who pays the cost?
- People defend the status quo using the language of infinite scroll trap.
- 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 Infinite Scroll Trap through 4 lenses
Each layer of the Incentives OS reframes this concept with its own thinkers, vocabulary, and diagnostic question.
- Layer 2Behavioral Economics
Which biases are most likely operating right now?
- Layer 9Persuasion & Behavior Design
What is making this behavior easier than the alternative?
- Layer 11Economics & Mechanism Design
Who pays, who is paid, and what does the price signal hide?
- Layer 18Temporal Models
What happens if this incentive compounds for ten years?
Do you actually know Infinite Scroll Trap?
Three quick questions. Result is saved into your review streak — come back when the term is due to lock it in.
Which best describes Infinite Scroll Trap?
Worked example, counter-example & concept map
On-demand AI analysis grounded in the Lab's research. Cached on your device after first run.
Your nervous system has a region for this.
When you encounter Infinite Scroll Trap, your dopamine system is tracking the gap between what you expected and what you got — and that gap is what's driving the next move, not the reward itself.
Wanting, anticipation, prediction error, motivational salience. Predictable rewards stop motivating. The phone buzz fires dopamine; the message itself rarely does.
See Dopamine in the Brain Atlas →Picked for you, from the Atlas
Ranked by shared learning paths, overlapping chips, and what you've saved.
Free products monetize attention, structurally aligning incentives against user time well spent.
CTR-driven distribution rewards misleading framing over accurate reporting.
Retroactive extensions privilege legacy estates over public-domain enrichment.
Per-view payouts reward volume and frequency over craft and depth.
Tax/inspection exemptions on low-value parcels subsidize a flood of unverified imports.
Revenue from behavioral targeting structurally opposes user privacy.
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.
Training is a one-time cost. Inference is forever.
Combining results from multiple studies to find robust conclusions.
I can't imagine how it works, therefore it doesn't.
Agencies meant to regulate an industry get captured by it.
Police evaluated on ticket counts produce more tickets, not safer roads.
A small group can dominate when the majority is silent or divided.
Designing processes from scratch around AI capability.
Evaluating an argument's logic based on whether you agree with the conclusion.
Accurately modeling what another person is thinking and feeling — without merging with it.
Endless choice and swipe loops reduce commitment and increase dissatisfaction.
We measure ourselves against peers, not against our past selves.
Temporal landmarks (Monday, January, birthday) trigger new behavior attempts.