Evidence for No Review #
Every substantive claim on the No Review 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 · moderate evidence — Information you have stored is eventually lost if you don’t use it (‘use it or lose it’): without rehearsal or use, learned material is forgotten over time.
A careful modern replication confirms that unrehearsed material is forgotten rapidly at first then more slowly, supporting the basic ‘forgetting over time’ premise. Caveat: the replicated curve is not perfectly smooth and shows an apparent upward jump after ~24 hours (a likely sleep-consolidation effect), so decline is not strictly monotonic. This is a single-subject, nonsense-syllable design, hence moderate (not strong) strength.
Sources: Murre & Dros (2015), PLOS ONE 10(7):e0120644 — successful replication of the Ebbinghaus forgetting curve · Roediger & Karpicke (2006) — forgetting of unrehearsed material is the baseline against which review/retrieval gains are measured
Mixed · moderate evidence — Information you have stored is eventually lost if you don’t use it (‘use it or lose it’): without rehearsal or use, learned material is forgotten over time.
The manual’s wording implies a simple ‘disuse/decay’ mechanism. 2026 cognitive science treats the cause of forgetting as contested: decay theory is hard to isolate from interference, and many researchers favour interference (or retrieval failure) over literal trace decay. The practical conclusion (unused material becomes inaccessible) holds; the implied mechanism is oversimplified.
Sources: Decay theory review — temporal decay difficult to separate from interference · Interference theory review — proactive/retroactive interference as a major cause of forgetting · Frontiers Behav. Neurosci. (2022): ‘Forgetting Details in Visual Long-Term Memory: Decay or Interference?’
Supported · strong evidence — Adding important topics to a review schedule and reviewing content over time improves retention (i.e. spaced/scheduled review is an effective learning practice).
Large, recent (2026) systematic review and meta-analysis with a sizeable pooled effect favouring scheduled/spaced review over standard study. Directly supports the manual’s advice to schedule and repeat review of important material.
Sources: Maye et al. (2026), The Clinical Teacher, DOI 10.1111/tct.70353 — SMD 0.78 (95% CI 0.56-0.99), 21,415 learners · JMIR (2024) e57760: ‘Spaced Digital Education for Health Professionals: Systematic Review and Meta-Analysis’
Supported · strong evidence — Adding important topics to a review schedule and reviewing content over time improves retention (i.e. spaced/scheduled review is an effective learning practice).
Recent meta-analysis confirming the spacing effect (distributing review across sessions beats cramming), though the real-world classroom effect is smaller than lab estimates. Supports scheduling review but tempers any expectation of large gains in messy real settings.
Sources: Murray et al. (2025), Educational Psychology Review, DOI 10.1007/s10648-025-10035-1 — spacing g=0.28 · Single-paper meta-analyses across nine STEM courses (Int J STEM Educ 2024) — spacing benefits generalise but are modest in authentic courses
Supported · strong evidence — Adding important topics to a review schedule and reviewing content over time improves retention (i.e. spaced/scheduled review is an effective learning practice).
The strongest form of ‘review’ is active retrieval (self-testing), not passive re-reading; this large meta-analysis and Rowland (2014, g=0.50) establish retrieval practice as one of the most robust findings in learning science. The manual encourages review but does not specify that retrieval-style review is markedly more effective than passive re-reading.
Sources: Adesope, Trevisan & Sundararajan (2017), Review of Educational Research — practice testing g=0.61, 217 studies · Rowland (2014), Psychological Bulletin — testing effect g=0.50 (95% CI 0.42-0.58), 159 studies · Yang et al. (2021) — classroom testing effect g=0.50
Unassessed · none evidence — Using Memletics significantly improves your retention.
No fabricated source is offered. The honest position is that the system-level retention claim is untested; it is plausible insofar as it rests on evidence-based components (spacing, retrieval practice) but cannot be asserted as a demonstrated outcome.
Sources: No controlled evaluation of ‘Memletics’ identified in 2026 literature search · Component evidence only: Maye et al. (2026) on spacing; Adesope et al. (2017) on retrieval practice
Mixed · moderate evidence — The brain is like a computer that must continually refresh its memory to avoid losing stored data (memory requires periodic refresh/review to persist).
Supports the spirit (memory weakens without intervention and benefits from later strengthening) while contradicting the literal DRAM analogy: consolidation operates on slow biological timescales and can spontaneously improve recall, unlike volatile RAM that loses data instantly without refresh.
Sources: Murre & Dros (2015), PLOS ONE — post-24h upward jump attributed to sleep consolidation · Sleep-dependent memory consolidation literature — systems consolidation over hours to years, not millisecond refresh