Losses after long breaks in naturalistic practice are rapidly offset by very little practice: a single gameplay can restore prior performance levels even after delays of hundreds of days¶
Claim · All claims
Evidence · 1 study · associationalr2·q2
Currency · newest study 2022 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? The forgetting function for the second gameplay within a session is flat or nearly so, meaning one gameplay restores performance lost over the interval. → Aakriti Kumar 2022
Evidence¶
Aakriti Kumar 2022¶
Aakriti Kumar, Aaron S. Benjamin, Andrew Heathcote and Mark Steyvers. (2022). Comparing models of learning and relearning in large-scale cognitive training data sets. npj Science of Learning 7:24. https://doi.org/10.1038/s41539-022-00142-x
q2 · i? · associational · r2
Retention analysis of the Lumosity data (Fig. 6) comparing first and second gameplays after retention intervals; in Lost in Migration, after a loss of nearly 100% of prior performance at 800 days, "a single gameplay restores performance to the same level". The article states relearning benefits of this magnitude over these timescales had not previously been documented.
"The dramatic finding here is that those losses are quickly offset by a very small amount of practice. This effect can be seen in the forgetting function for the second gameplay within the session, which is flat or nearly so."
Discussion¶
Related Claims¶
- Performance loss after breaks in practice grows with delay: a 100-day delay yields a 20% reduction and a 400-day delay a 50% reduction in first-gameplay performance — related
- The interactive two-timescale model (M4) provides the most general account of naturalistic learning, though the additive-forgetting model (M3) fits better at six of eight interval subsets — related
- Repeated retrieval practice alters the rate at which learned items are forgotten, according to learn-to-criterion studies and forgetting-curve analyses the chapter reviews — a broader claim this one bears on
- The retrieval (TTST) advantage appeared at both short (5 min) and long (24 h) retention delays, with no reliable evidence that it differed between them — related
- ISI effects on recall are nonmonotonic and depend jointly on retention interval — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
rapid-relearning-single-gameplay |
title |
Losses after long breaks in naturalistic practice are rapidly offset by very little practice: a single gameplay can restore prior performance levels even after delays of hundreds of days |
description |
Losses after long breaks in naturalistic practice are rapidly offset by very little practice: a single gameplay can restore prior performance levels even after delays of hundreds of days |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2022 |
generated |
by process:wiki-ingest on 2026-10-26 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — aakriti-kumar-2022 |
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