Why people keep scrolling: habit, infinite feeds, and the evidence against the dopamine explanation

You open an app to check one thing. A long while later you are still there, and you could not say what you were looking for. The usual explanation is that the feed is a slot machine: every swipe might pay out, and the brain keeps pulling the lever. The research behind this article says that story is mostly wrong about scrolling, and that the real causes are duller and easier to design against.

1Habit does most of the work

The best causal study is a randomised experiment by Allcott, Gentzkow and Song, which found that temporary incentives to reduce social media use have persistent effects, suggesting social media are habit formingSection 1, and that allowing people to set limits on their future screen time substantially reduces useSection 1. Their model attributes 31% of use (about 48 minutes a day) to self-control problems.Section 1

Habit also hides itself. People do not notice how much today's scrolling builds tomorrow's: they are "inattentive to habit formation,"Section 1 meaning they underestimate how much today's scrolling shapes tomorrow'sSection 1.

The effect is far from even: for 22% of participants the excess was under 10 minutes a dayDetails. Posting, meanwhile, turns out to be more mixed than pure reward-chasing; a newer study found posting is a hybrid of reinforcement learning and habitKey findings. Who chases which differs: Younger users and women were more reward-driven; older users and men were more habitual.Key findings

2The feed has nowhere to stop

A page, a chapter or the end of an episode is a natural moment to decide whether to keep going. Infinite scroll removes that moment. The mechanism, a removed decision point, is well documented. Its effect size is not.Key findings Remarkably, nobody has measured it directly: the research found no randomized trial that compares infinite scroll with pagination on time spent or wellbeingKey findings.

Without an ending, something else has to end the session — usually life. In a field study of thousands of app sessions, "most reasons to break SM sessions were not related to the app but the user's general context."Section 1 People leave because the real world interrupts, not because the feed lets them go.Section 1

Even the history is contested. Microsoft filed a patent on 14 February 2006 (Hugh Williams, Julie Farago, Nick Craswell), while Aza Raskin also claims it.Key findings The most repeated statistic about it is not data; Raskin's figure of "200,000 human lifetimes wasted daily" figure is a back-of-envelope estimateDetails, and the bottomless-soup study often used to explain stopping cues comes from a lab whose head has had 18 papers retractedDetails.

One psychological pull is real, though not the one usually cited. The famous claim that unfinished tasks stick in memory has largely failed: Ghibellini and Meier's 2025 meta-analysis found "no memory advantage for unfinished tasks but found a general tendency to resume tasks"Key findings. People do not remember open loops better; they feel pulled to close them.

3Doomscrolling is checking that never finishes

Bad-news scrolling has its own driver. People who find uncertainty hard to bear do more of it, and the research reads it as a search for reassurance that the feed never delivers: doomscrolling is information-seeking that never reaches closure.Section 1

The link to uncertainty has been measured, if only in surveys. In one study, intolerance of uncertainty was "positively associated with doomscrolling (β = 0.29, p < .001),"Details and the research's interpretation is that under threat, negative news feels like useful surveillance, and the scroll becomes a checking ritual that briefly relieves anxiety and then brings it backDetails.

4The ranking shows people what they say they do not want

The feed's order matters as much as its length. In a preregistered experiment on Twitter, engagement-based ranking amplified "emotionally charged, out-group hostile content that users say makes them feel worse about their political out-group."Key findings And the users did not want it: "users do not prefer the political tweets selected by the algorithm."Key findings

The amplification is not politically neutral either. Using Twitter's own long-running chronological holdout group, researchers found "in six out of seven countries studied, the mainstream political right enjoys higher algorithmic amplification than the mainstream political left,"Details and some parties were amplified by more than 200%Details. A ranking built on what people say they want behaves differently, though not perfectly: it cut angry, partisan content but "may reinforce echo chambers."Key findings

5What actually reduces compulsive scrolling

The interventions that have been tested show a clear pattern. The research's table:

The conclusion is about where to intervene: friction and finite containers work; polite reminders mostly annoy.Details The large effects come from changing the container itself: The biggest effects come from changing the container (no feed, a bounded feed, a delay before entry), not from asking people to behave better inside an infinite one.Details And one obvious candidate has never been tested: No peer-reviewed study I found directly tests a daily digest.Details

6Regulators have started treating the endless feed as a design problem

The question has moved from psychology to law. In February 2026 the European Commission preliminarily found TikTok in breach of the Digital Services Act over "addictive design."Key findings It suggested "disabling key addictive features such as 'infinite scroll' over time."Key findings TikTok called the findings "categorically false and entirely meritless."Key findings A European Parliament brief adds that in March 2026, a US jury found Meta and YouTube liable for addictive designKey findings. The research cautions that the European findings are preliminary and disputed.

7What this explains

It explains why willpower advice fails: you are not fighting a craving, you are fighting a habit in a place with no exits. It explains why limits you set in advance work better than resolutions in the moment — the decision is made before the habit starts running. It explains why the end of a scroll is usually an interruption rather than a choice. And it explains why a feed can be compelling without being wanted: what keeps people longest is not what they would pick. A feed that ends, ranked by what people say they value, would lose some time spent. The research suggests it would lose very little that anyone wanted to keep.