What research says about phone habits
Five patterns: what the evidence supports — and what it doesn't.
IMPORTANT DISTINCTION
The five dimensions are grounded in existing behavioral research. The TimeByChoice Check itself has not been scientifically validated as a measurement tool — its questions, scoring and interpretation are research-informed.
THE COUNTERWEIGHT
In one large study, the link between digital technology use and teenage wellbeing was very small.
SPECIFICATION-CURVE ANALYSIS · 3 DATASETS
What it shows
Across those datasets, digital technology use accounted for at most 0.4% of the variation in adolescent wellbeing — an association the authors judged too small to justify policy change.
What it doesn't show
That how you use your time doesn't matter. It suggests that digital technology use alone explains very little of the variation in adolescent wellbeing. That's one reason TimeByChoice focuses on intention rather than hours alone.
1 source
Orben, A. & Przybylski, A. K. (2019). The association between adolescent well-being and digital technology use. Nature Human Behaviour, 3, 173–182. doi:10.1038/s41562-018-0506-1 (n = 355,358)
THE CORE IDEA
The gap between intending something and doing it has been studied for decades.
META-ANALYSES · 94 + 642 TESTS
What it shows
If-then plans ("if situation X, then I'll do Y") help people follow through on intentions. A 2006 meta-analysis of 94 tests reported d = .65. A larger 2025 review of 642 tests agreed, though the average effect shrank after accounting for publication bias.
What it doesn't show
That one effect size applies in every situation. Estimates vary a lot depending on the outcome and the study design, and the larger review found signs of publication bias. This research is also about goal pursuit in general, not phones specifically.
Why it mattersWanting to stop and actually stopping are two different things.
3 sources
Gollwitzer, P. M. & Sheeran, P. (2006). Implementation intentions and goal achievement: a meta-analysis of effects and processes. Advances in Experimental Social Psychology, 38, 69–119. doi:10.1016/S0065-2601(06)38002-1 · Sheeran, P., Listrom, O. & Gollwitzer, P. M. (2025). The when and how of planning: Meta-analysis of the scope and components of implementation intentions in 642 tests. European Review of Social Psychology, 36(1), 162–194. doi:10.1080/10463283.2024.2334563 · Gollwitzer, P. M. & Sheeran, P. (2025). Psychology of planning. Annual Review of Psychology, 76, 303–328. doi:10.1146/annurev-psych-021524-110536
The five patterns
Select a pattern to jump to the evidence.
- 02Time Drift
- People estimate their own usage poorly.
01AUTOMATIC CHECKING
Brief, repetitive checking can become habitual.
3 STUDIES · INCLUDING A CONTROLLED FIELD EXPERIMENT
What it shows
The researchers identified "checking habits": brief, repeated glances at content that can become reinforced by quick access to new information.
What it doesn't show
That these checks are inherently harmful, that everyone's pattern is the same, or what proportion of anyone's total use they make up. It describes a mechanism, not a cost.
Why it mattersYou can lose time without ever deciding to spend it.
1 paper · 3 studies
Oulasvirta, A., Rattenbury, T., Ma, L. & Raita, E. (2012). Habits make smartphone use more pervasive. Personal and Ubiquitous Computing, 16, 105–114. doi:10.1007/s00779-011-0412-2
02TIME DRIFT
People often misestimate how much they use their devices.
SYSTEMATIC REVIEW + META-ANALYSIS
What it shows
Self-reported usage rarely matches what devices actually log, and the two correlate only moderately. How long people believe they spent online is a poor proxy for how long they did.
What it doesn't show
Which direction any individual is wrong in — some overestimate, some underestimate. It shows the estimate is unreliable, not that everyone underestimates.
Why it mattersIf your estimate is off, it's harder to judge how much time you actually spent.
1 source
Parry, D. A., Davidson, B. I., Sewall, C. J. R., Fisher, J. T., Mieczkowski, H. & Quintana, D. S. (2021). A systematic review and meta-analysis of discrepancies between logged and self-reported digital media use. Nature Human Behaviour, 5, 1535–1547. doi:10.1038/s41562-021-01117-5
03ESCAPE & AVOIDANCE
Phone use can become a way to escape boredom or discomfort.
CONCEPTUAL MODEL + 2 EMPIRICAL STUDIES
What it shows
People who disliked boredom more also used their phones more. The compensatory-use model frames phone use as coping with an unwanted state, rather than attraction to the content.
What it doesn't show
That using a phone to unwind is a problem in itself. Distraction isn't automatically harmful, and much of this work is correlational.
Why it mattersSometimes the phone isn't the goal — it's the response.
2 sources
Kardefelt-Winther, D. (2014). A conceptual and methodological critique of internet addiction research: towards a model of compensatory internet use. Computers in Human Behavior, 31, 351–354. doi:10.1016/j.chb.2013.10.059 · Tam, K. Y. Y., van Tilburg, W. A. P. & Chan, C. S. (2026). Swiping away dullness: disliking boredom predicts more smartphone use. Motivation and Emotion. doi:10.1007/s11031-026-10230-9
04INTERRUPTED INTENTIONS
Going to bed later than you intended — with nothing forcing it — is a documented form of procrastination.
SURVEY STUDIES
What it shows
Going to bed later than intended, with nothing external forcing it, is commonly reported and is associated with lower self-regulation. A later study found people procrastinated more at bedtime after days spent resisting more desires. The same displacement shows up mid-task too — attention shifting to social media instead of the thing you'd sat down to do.
What it doesn't show
That phones are the cause, or that this generalizes widely — the original bedtime study was a single survey of 177 adults.
Why it mattersThe important part is the gap between what you intended to do and what happened instead.
3 sources
Kroese, F. M., De Ridder, D. T. D., Evers, C. & Adriaanse, M. A. (2014). Bedtime procrastination: introducing a new area of procrastination. Frontiers in Psychology, 5, 611. doi:10.3389/fpsyg.2014.00611 (N = 177) · Kamphorst, B. A., Nauts, S., De Ridder, D. T. D. & Anderson, J. H. (2018). Too depleted to turn in: the relevance of end-of-the-day resource depletion for reducing bedtime procrastination. Frontiers in Psychology, 9, 252. doi:10.3389/fpsyg.2018.00252 (N = 218) · Koessmeier, C. & Büttner, O. B. (2021). Why are we distracted by social media? Distraction situations and strategies, reasons for distraction, and individual differences. Frontiers in Psychology, 12, 711416. doi:10.3389/fpsyg.2021.711416
05SOCIAL COMPARISON
Social comparison has been studied for decades. Online environments create more opportunities for it.
META-ANALYSIS · 54 SAMPLES
What it shows
Across 54 samples, comparing yourself with people who seem to be doing better was associated with poorer psychological outcomes (r = .330).
What it doesn't show
A universal causal effect. The pooled estimates vary substantially across studies, and earlier theoretical work has also considered self-improvement responses to upward comparison.
Why it mattersThe question isn't whether comparison happens, but whether it changes how you judge your own life.
2 sources
Festinger, L. (1954). A theory of social comparison processes. Human Relations, 7(2), 117–140. doi:10.1177/001872675400700202 · Lei, Y., Hu, S., Sun, Y. & Zheng, L. (2026). "Looking up" linked to feeling down: a meta-analysis of online upward social comparison and psychological maladjustment. Frontiers in Psychology, 17, 1825169. doi:10.3389/fpsyg.2026.1825169 (54 samples, N = 36,583)
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How we choose sources
We prioritize peer-reviewed studies, systematic reviews and meta-analyses where they exist. This page is a curated evidence overview, not a systematic literature review.
Last reviewed · September 2026
Social comparison has been studied for decades. Online environments create more opportunities for it.
META-ANALYSIS · 54 SAMPLES
What it shows
Across 54 samples, comparing yourself with people who seem to be doing better was associated with poorer psychological outcomes (r = .330).
What it doesn't show
A universal causal effect. The pooled estimates vary substantially across studies, and earlier theoretical work has also considered self-improvement responses to upward comparison.
Why it mattersThe question isn't whether comparison happens, but whether it changes how you judge your own life.
2 sources
Festinger, L. (1954). A theory of social comparison processes. Human Relations, 7(2), 117–140. doi:10.1177/001872675400700202 · Lei, Y., Hu, S., Sun, Y. & Zheng, L. (2026). "Looking up" linked to feeling down: a meta-analysis of online upward social comparison and psychological maladjustment. Frontiers in Psychology, 17, 1825169. doi:10.3389/fpsyg.2026.1825169 (54 samples, N = 36,583)