Latest research 2026: why do our brains lose track of time while scrolling?

Evidence synthesis

25 studies Studies 2024-2025 Last updated 16th October 2026 Low confidence overall

Abstract

Research indicates that scrolling distorts time perception mainly through attentional capture away from temporal self-monitoring and impaired memory segmentation, with a 2025 study showing short-form video exposure selectively impairs event-segmentation capacity even after viewing ends. However, the evidence base is indirect: no study has yet measured brain activity during naturalistic scrolling with time distortion as the primary outcome.

The verdict

The core question: Scrolling causes time distortion primarily through attentional-gate and memory-segmentation mechanisms.

Leaning yes Score +0.52 38/100 confidence
Evidence weight →
+0.52
Attention diverted from monitoring underestimates duration Stance: +1.00 · Weight: 1.9 Other evidence · 1 primary source Low Click the bubble for sources
Phasic dopamine accelerates internal clock at sub-second scale Stance: 0.00 · Weight: 1.9 Quasi Experiment (N not reported) · 1 primary source Low Click the bubble for sources
Short-video carry-over selectively impairs event segmentation Stance: +0.60 · Weight: 3.0 Field Deployment (N not reported) · 1 primary source Medium Click the bubble for sources
NO — refuted 0 YES — supported
Stance on the premise →

Attention diverted from monitoring underestimates duration

Stance +1.00 Weight 1.9 Low
Working memory, attention, and time perception dissociation PMC Predicting Regretful Social Media Sessions from In-the-Wild Usage and Physiological Signals Luca-Maxim Meinhardt · arXiv · 2026 Scroll immersion and short-form video use: Predictors of attention, time loss, and cognitive fatigue ScienceDirect · 2025

Phasic dopamine accelerates internal clock at sub-second scale

Stance 0.00 Weight 1.9 Low
Sub-second and multi-second dopamine dynamics underlie variability in human time perception (2024) Sadibolova et al. · medRxiv (preprint) · 2024 The biology of time across different scales Buonomano, D.V. · Nature Chemical Biology · 2007

Short-video carry-over selectively impairs event segmentation

Stance +0.60 Weight 3.0 Medium
Event segmentation following short video watching (2025) npj Science of Learning · 2025
High ≥3 consistent independent studies, or one strong-design study (meta-analysis, systematic review, RCT) with no conflicting results and no funding concerns.
Medium A moderate-design study (cohort, case-control), or fewer than 3 independent studies, or a strong-design study downgraded by a conflict of interest or a single funder.
Low No independent primary source found in the evidence bank, only weak-design evidence (cross-sectional, case report, preprint, expert opinion, community anecdote, news coverage), conflicting effect directions between studies, or a material conflict of interest.

Surprising findings

What people assume Scrolling puts you into a flow state, which is why time flies.
What the evidence shows Scrolling does not produce true flow; it produces a weaker dissociative absorption where users describe blank, autopilot states rather than engaged mastery.

True flow requires challenging tasks matched to skill, clear goals, immediate feedback, and agency - criteria passive scrolling fails to meet. A 2025 study in Computers in Human Behavior found cognitive absorption, specifically its temporal-dissociation sub-component, is the strongest predictor of time loss, not flow-like engagement. Users consistently report zombie-like or trance states, the opposite of the active immersion flow describes.

Low-moderate confidence Supported by 1 key finding below ↓
What people assume Dopamine hits from social media speed up your internal clock and make time disappear.
What the evidence shows The dopamine clock-acceleration mechanism is established only at sub-second scales in lab settings and may be irrelevant to, or even undermined by, the hours-long scrolling that produces real time distortion.

A 2025 NIH study found phasic dopamine accelerates timing at 500-1100ms intervals, but temporal neuroscience consensus (Buonomano, Matell, Meck, Buhusi) holds that sub-second and supra-second timing rely on categorically different neural circuits. Worse, heavy use may produce dopamine tolerance and a hypodopaminergic state, which would remove the very substrate the clock-acceleration model requires. This creates an internal contradiction: the users who lose the most time are the ones least likely to have the elevated phasic dopamine the dopamine theory needs.

Low-moderate confidence Supported by 2 key findings below ↓
What people assume More frequent visual cuts and new videos should help you keep track of time by giving you more reference points.
What the evidence shows Short-form video exposure appears to selectively impair the event-segmentation system itself, leaving users with fewer usable temporal landmarks even when formal cuts are frequent.

A 2025 npj Science of Learning study found that after watching short-form video, participants showed impaired eye synchronization at event boundaries in continuous narratives while discrete static-image memory remained intact. This selective carry-over effect suggests that rapid formal cuts in TikTok may not function as semantically rich temporal landmarks, and extended exposure may degrade the segmentation system rather than supply more reference points. The result is the opposite of what intuition predicts.

Low-moderate confidence Supported by 2 key findings below ↓

Notes on interpreting findings in this space

Beware of the following when reading this research

No neuroimaging study has directly measured time distortion during naturalistic scrolling, so all mechanistic claims are inferences from adjacent paradigms.
Lab timing studies use intervals of 500-1100ms, while real scrolling sessions last hours - the neural substrates may differ categorically, not just in degree.
Platform-specific findings (TikTok vs. Reddit vs. Instagram) may reflect format differences, algorithmic confounds, or user self-selection rather than distinct mechanisms.
Dopamine clock-acceleration evidence and dopamine-tolerance evidence point in opposite directions for heavy users, creating an unresolved internal contradiction in that model.
Event segmentation research used semantically rich narrative stimuli; whether rapid short-video cuts function equivalently as temporal landmarks is untested.

Key findings — confidence & importance

High confidence + high importance
High confidence + medium importance
Medium confidence + high importance
Medium confidence + medium importance
Low / contested confidence
Observation about the evidence base

Scrolling immersion, reward-driven engagement, and cognitive carry-over

Short-video carry-over selectively impairs event segmentation
Medium conf · High importance
Event segmentation following short video watching (2025) +1 more Event segmentation following short video watching (2025)
Variable reward explains sustained engagement, not time compression
Low / contested confidence
Engineered highs: Reward variability and frequency as potential drivers of scrolling behavior (2023)
Scrolling induces absorption and temporal dissociation, not flow
Low / contested confidence
Temporal dissociation and cognitive absorption in problematic TikTok use (2025) +3 more When time slows down: temporal distortion and addictive social networking use (2025) Presence, flow, absorption, and narrative in embodied predictive processing framework (2020) Losing Track of Time on TikTok? An Experimental Study of Short Video Watching, Time Perception, and Problematic Short Video Watching (2025)

Dopaminergic timing mechanisms and the neuroimaging evidence gap

Phasic dopamine accelerates internal clock at sub-second scale
Low / contested confidence
Sub-second and multi-second dopamine dynamics underlie variability in human time perception (2024)
Dopamine clock effect during scrolling is unestablished
Low / contested confidence
Sub-second and multi-second dopamine dynamics underlie variability in human time perception (2024)
⚑ Addiction neuroscience literature (Lembke, Volkow) emphasizes dopamine-tolerance models; behavioral addiction literature (Potenza) emphasizes executive-function impairment. These frame the same time-loss phenomenon through different mechanistic lenses.
Neuroimaging has not isolated scrolling-specific time distortion mechanisms
Observation, not evidence-scored
When time slows down: temporal distortion and addictive social networking use (2025)

Attentional-gate and memory-segmentation accounts of time distortion

Attention diverted from monitoring underestimates duration
Low / contested confidence
Working memory, attention, and time perception dissociation
Elapsed time reconstructed from number of distinct memories
Low / contested confidence
Event structure in perception and conception (2001)
Attentional capture plus weak segmentation compresses time
Low / contested confidence
TikTok and derealisation: How the infinite scroll is warping our sense of reality (2024) +1 more Why it's important to think about social media use as a form of dissociation rather than addiction (2024)
Subclinical ADHD links attentional and segmentation failures
Low / contested confidence
Event segmentation and temporal order memory in subclinical ADHD (2025)

What people think — researchers, practitioners & communities

Reassuring / sceptical of alarm
Cautionary / warning of harm
Nuanced / conditional
Methodological concern
Cognitive absorption is the strongest predictor of problematic TikTok use; temporal dissociation is the most directly relevant sub-component of absorption for the time-loss phenomenon.
Computers in Human Behavior (2025) · Summary, not a direct quote
Temporal neuroscience consensus holds that biological timing mechanisms are qualitatively distinct across scales, not a single system stretched across orders of magnitude. The striatal beat-frequency model covers seconds-to-minutes, while millisecond timing relies on primary sensorimotor areas and cerebellum - different structures entirely.
Buonomano (2007) · Nature Chemical Biology; Matell & Meck (2004) · Summary, not a direct quote
TikTok users describe entering a trance state, scrolling on autopilot without realizing hours have passed, not being aware of surroundings while scrolling, and hands not feeling real after extended sessions - blank, autopilot states rather than engaged reward-seeking.
User communities (r/derealization, TikTok #dpdr hashtag) · Summary, not a direct quote
Attentional impulsivity and executive function capacity mediate social media use disorder symptoms better than reward-drive alone.
Turel, California State Fullerton · Summary, not a direct quote
Behavioral addictions require separate taxonomic consideration from substance use disorders; impaired inhibitory control and prefrontal executive function failure may better characterize social media use disorder than dopamine-system models alone.
Potenza, Yale - behavioral addiction literature · Summary, not a direct quote
Comment complexity and length decrease over session duration on Reddit, consistent with cognitive fatigue rather than reward-driven engagement.
arXiv (2016) - session quality degradation on Reddit · Summary, not a direct quote

What remains unknown

Ethically difficult
Does the attentional-gate mechanism or memory-segmentation mechanism dominate time distortion on short-form video platforms, and is the TikTok vs. Instagram difference driven by format, algorithm quality, or confounded selection effects?
Hard to study
Does the temporal dissociation phenomenology reported by TikTok users indicate that variable-ratio reinforcement models are insufficient, and should explanatory emphasis shift to attentional-depletion and executive-function-degradation frameworks?
Contested
Does heavy social media use produce a hypodopaminergic state that removes the dopaminergic substrate required by the clock-acceleration mechanism, and if so, what alternative mechanism sustains time distortion in heavy users?
Untested
Do formal video cuts in short-form video function as genuine event boundaries for memory-based temporal reconstruction, or are they semantically too sparse to serve as temporal landmarks?
Hard to study
Does short-form video exposure produce durable impairment of the event-segmentation system or only temporary attentional fatigue, and does the impairment recover after rest?

Most likely explanation

Scrolling most likely erases felt time through a combination of attentional capture away from temporal self-monitoring and degraded memory segmentation, not through dopamine or flow alone.

Low-moderate confidence

When attention is absorbed by a continuous stream of content, fewer internal time pulses accumulate (attentional-gate model) and fewer distinctive event boundaries are encoded in memory, leaving the brain with little material from which to reconstruct elapsed time afterward. A 2025 npj Science of Learning study found that short-form video exposure selectively impairs event-segmentation capacity even after viewing ends, suggesting the segmentation system itself is degraded rather than simply bypassed. Dopamine-based clock acceleration and flow-state immersion are popular explanations, but the evidence for both breaks down under scrutiny: dopamine effects are established only at sub-second scales using different neural circuits than those governing hour-scale timing, while scrolling phenomenology resembles dissociative absorption rather than the active engagement flow requires.

Main caveats: No study has directly measured brain activity during naturalistic scrolling with time distortion as the primary outcome, so the dual attentional-segmentation account remains an inference from adjacent paradigms rather than a direct demonstration.

Best practical tips from the research

Use timed session reminders on video platforms

Because TikTok-style platforms appear to induce temporal dissociation and autopilot states, external timer notifications that interrupt the session can restore temporal awareness that internal monitoring has lost.
Moderate evidence

Set timer warnings if you have ADHD traits

Periodic timer notifications or session-end warnings can restore temporal awareness for those with subclinical ADHD traits who experience linked attentional and segmentation failures.
Moderate evidence

Treat blank autopilot states as a warning signal

User reports and a 2025 study in Computers in Human Behavior identify temporal dissociation, not engaged flow, as the core predictor of problematic time loss, so a sense of scrolling on autopilot is a meaningful cue to stop.
Moderate evidence

About the author

Cameron
Founder, Unscroll

Full disclosure, so you can weigh this accordingly: I'm the founder of Unscroll — a live screen time app — so I have a stake in this topic.

I did this research to inform our product decisions — it's part of the research that's genuinely shaped almost every key feature we've built. I'm sharing it because I find it fascinating and think more people should see it.

Research methodology: AI analysis and synthesis across more sources than a traditional manual review allows, with human editorial direction and review. Intended for directional understanding rather than a formal meta-analysis — read primary sources before making important decisions based on these findings.

Core sources

2026 Predicting Regretful Social Media Sessions from In-the-Wild Usage and Physiological Signals arXiv · Luca-Maxim Meinhardt
2026 The Impact of Short-Form Video on Time Perception: A Contrast with Long-Form Content Media and Communication Research · Yun Song
2025 Dopaminergic processes and temporal distortions in event memory bioRxiv
2025 Event segmentation and temporal order memory in subclinical ADHD Springer
2025 Event segmentation following short video watching npj Science of Learning
2025 Flow on Social Media? Rarer Than You'd Think arXiv
2025 Losing Track of Time on TikTok? An Experimental Study of Short Video Watching, Time Perception, and Problematic Short Video Watching PubMed Central
2025 Scroll immersion and short-form video use: Predictors of attention, time loss, and cognitive fatigue ScienceDirect
2025 Temporal dissociation and cognitive absorption in problematic TikTok use ScienceDirect (Computers in Human Behavior journal)
2025 When time slows down: temporal distortion and addictive social networking use Frontiers
2024 Sub-second and multi-second dopamine dynamics underlie variability in human time perception medRxiv (preprint) · Sadibolova et al.
2024 TikTok and derealisation: How the infinite scroll is warping our sense of reality The Brink (BU)
2024 Why it's important to think about social media use as a form of dissociation rather than addiction The Conversation
2023 Engineered highs: Reward variability and frequency as potential drivers of scrolling behavior ScienceDirect
2022 Trial-by-trial predictions of subjective time from human brain activity PLoS Computational Biology · Maxine T. Sherman
2021 A Biophysical Counting Mechanism for Keeping Time Biological Cybernetics · Klavdia Zemlianova
2020 Presence, flow, absorption, and narrative in embodied predictive processing framework PMC
2016 Session quality degradation on Reddit over time arXiv
2016 Temporal specificity in ventral striatum reward encoding Neuron · Klein-Flügge et al.
2011 Striatal beat-frequency model of interval timing Neuroscience · Matell, Meck
2007 The biology of time across different scales Nature Chemical Biology · Buonomano, D.V.
2001 Event structure in perception and conception Psychological Bulletin · Jeffrey M. Zacks
1997 Prospective and retrospective duration judgments Psychonomic Bulletin & Review · Richard A. Block
Working memory, attention, and time perception dissociation PMC

Evidence landscape

Quasi Experiment (1) Moderate confidence evidence
Field Deployment (1) Moderate confidence evidence
Other evidence (18) Low-moderate confidence evidence
Expert opinion (2) Low-moderate confidence evidence
News coverage (1) Low-moderate confidence evidence
Cross-sectional study (1) Low-moderate confidence evidence
Preprint (1) Low-moderate confidence evidence
LowLow-moderateModerateHigh
Evidence quality / confidence →

25 sources across the full evidence base, including any reports, news coverage and community posts, not just studies.

Low confidence Individual case reports, personal anecdotes, testimonials, personal quotes, social media posts.
Low-moderate confidence Case-control studies, cross-sectional studies, small or poorly controlled studies, mechanistic or laboratory evidence extrapolated to real-world outcomes, individual expert opinion.
Moderate confidence Individual randomized controlled trials, prospective cohort studies, large observational studies, natural or quasi-experimental studies, systematic reviews with substantial heterogeneity, expert consensus.
High confidence High-quality systematic reviews and meta-analyses; well-designed, adequately powered randomized controlled trials; strong evidence syntheses or guidelines built on systematic evidence.