Evidence for Manage your time and energy #
Every substantive claim on the Manage your time and energy page is checked against current research. Here is each claim, how well today’s evidence supports it, and the sources. The full, de-duplicated source list lives on the references page.
Supported · strong evidence — Spreading study sessions out across time, with gaps between them, produces better long-term retention than massing the same amount of study into a single block.
The spacing (distributed-practice) effect is among the most replicated findings in memory research; Cepeda et al.’s meta-analysis and the broad subsequent literature consistently confirm distributed practice beats massed practice for durable retention. Remains consensus in 2026.
Sources: Cepeda, Pashler, Vul, Wixted & Rohrer (2006), Distributed practice in verbal recall tasks: A review and quantitative synthesis, Psychological Bulletin — https://doi.org/10.1037/0033-2909.132.3.354 · full reference ›
Supported · moderate evidence — The optimal gap between study sessions scales with how long you need to retain the material: longer retention intervals call for longer spacing gaps.
Cepeda et al. (2006) and the follow-up study (Cepeda et al. 2008) showed the best inter-study gap increases with the target retention interval; the qualitative rule that longer-term goals warrant wider gaps is well supported, though exact optimal ratios vary and are not pinned to a single number.
Sources: Cepeda, Pashler, Vul, Wixted & Rohrer (2006), Distributed practice in verbal recall tasks: A review and quantitative synthesis, Psychological Bulletin — https://doi.org/10.1037/0033-2909.132.3.354 · Cepeda, Vul, Rohrer, Wixted & Pashler (2008), Spacing effects in learning: A temporal ridgeline of optimal retention, Psychological Science — https://doi.org/10.1111/j.1467-9280.2008.02209.x · full reference ›
Supported · moderate evidence — Returning to material after a gap requires effortful retrieval, and that effort is part of why spacing strengthens memory more than a single uninterrupted block.
The retrieval/study-phase-retrieval and encoding-variability accounts are leading mechanistic explanations for the spacing effect; the general idea that effortful recovery after a gap aids consolidation is well accepted, though the precise mechanism is still debated, so this is stated at the level the evidence supports.
Sources: Cepeda, Pashler, Vul, Wixted & Rohrer (2006), Distributed practice in verbal recall tasks: A review and quantitative synthesis, Psychological Bulletin — https://doi.org/10.1037/0033-2909.132.3.354 · full reference ›
Supported · moderate evidence — Massed study feels more productive in the moment than spaced study, even though spaced study produces better durable learning.
The dissociation between in-session fluency and durable learning is well documented (learning-versus-performance distinction); learners and even instructors systematically misjudge massing as more effective than spacing despite spacing’s retention advantage.
Sources: Soderstrom & Bjork (2015), Learning versus performance: An integrative review, Perspectives on Psychological Science — https://journals.sagepub.com/doi/10.1177/1745691615569000 · Cepeda, Pashler, Vul, Wixted & Rohrer (2006), Distributed practice in verbal recall tasks: A review and quantitative synthesis, Psychological Bulletin — https://doi.org/10.1037/0033-2909.132.3.354 · full reference ›
Mixed · moderate evidence — The mere presence of one’s own smartphone — visible but not in use, even switched off — reduces available working-memory and attentional capacity on demanding tasks.
Ward et al. (2017) reported the ‘brain drain’ effect across two experiments, and the broad finding that smartphone presence or notifications can impair attention has support. However, several replication attempts have failed to reproduce the specific phone-location effect (e.g. Ruiz Pardo & Minda 2022), so the effect is real but less robust and smaller than the original framing; the page’s practical advice to remove the phone holds regardless.
Sources: Ward, Duke, Gneezy & Bos (2017), Brain drain: The mere presence of one’s own smartphone reduces available cognitive capacity, Journal of the Association for Consumer Research — https://doi.org/10.1086/691462 · Ruiz Pardo & Minda (2022), Reexamining the ‘brain drain’ effect: A replication of Ward et al. (2017), Acta Psychologica — https://doi.org/10.1016/j.actpsy.2022.103717 · full reference ›
Mixed · weak evidence — Removing the phone from sight (to another room) is more effective at protecting attention than merely silencing it or turning it face-down within reach.
Ward et al.’s gradient (desk vs pocket/bag vs another room) suggested greater separation helped, but this specific dose-response has not replicated cleanly and effect sizes are small. The directional advice is reasonable and consistent with attention-capture findings, but should be treated as plausible guidance rather than a firmly established quantitative effect.
Sources: Ward, Duke, Gneezy & Bos (2017), Brain drain: The mere presence of one’s own smartphone reduces available cognitive capacity, Journal of the Association for Consumer Research — https://doi.org/10.1086/691462 · Ruiz Pardo & Minda (2022), Reexamining the ‘brain drain’ effect: A replication of Ward et al. (2017), Acta Psychologica — https://doi.org/10.1016/j.actpsy.2022.103717 · full reference ›
Mixed · weak evidence — Heavy media multitaskers tend to perform worse on tasks requiring sustained attention and working memory than lighter multitaskers.
Uncapher & Wagner (2018) review consistent associations between heavy media multitasking and poorer sustained attention and working memory, but findings are correlational, mixed across studies, and causality is unresolved; some studies find no relationship. The page presents this as a tendency with explicit caveats, which matches the 2026 state of the evidence.
Sources: Uncapher & Wagner (2018), Minds and brains of media multitaskers: Current findings and future directions, Proceedings of the National Academy of Sciences — https://doi.org/10.1073/pnas.1611612115 · full reference ›
Supported · moderate evidence — Frequently switching between tasks or information streams while studying carries a re-focusing cost that reduces effective attention.
Task-switching costs (slower and more error-prone performance after a switch) are a robust, long-established finding in cognitive psychology; the broader claim that frequent switching degrades effective attention during complex work is well supported, independent of the media-multitasking trait literature.
Sources: Monsell (2003), Task switching, Trends in Cognitive Sciences — https://doi.org/10.1016/S1364-6613(03)00028-7 · Uncapher & Wagner (2018), Minds and brains of media multitaskers: Current findings and future directions, Proceedings of the National Academy of Sciences — https://doi.org/10.1073/pnas.1611612115 · full reference ›