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Spaced repetition systems have gotten better

(domenic.me)
679 points domenicd | 3 comments | 18 May 25 11:42 UTC | HN request time: 0.495s | source
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jwrallie ◴[18 May 25 13:33 UTC] No.44021315[source]▶
I wonder how it compares with the current SuperMemo.

I experimented with SuperMemo around 18 months ago, and it made me fall in love with SRS again. The main reason being the algorithm is less punishing when I skip a day. Maybe it has better defaults?

I once skipped a whole week and could get back on track in the next week, in Anki that feels unbearable.

Another thing I really liked about it is that you can edit a card as you are studying without having to open a separate window, helps me stay in the flow when studying.

But… With a better algorithm I might give it a try in the future… Being FOSS is the real advantage here.

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1. david_allison ◴[18 May 25 13:56 UTC] No.44021458[source]▶
Currently under debate. FSRS is likely better than SM-17. No data on SM-18

Q&A/discussion: https://supermemopedia.com/wiki/SuperMemo_dethroned_by_FSRS

Repo: https://github.com/open-spaced-repetition/fsrs-vs-sm17

Discussion: https://discord.gg/qjzcRTx => https://discord.com/channels/368267295601983490/136895216717...

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2. dpkirchner ◴[18 May 25 15:44 UTC] No.44022195[source]▶
Am I reading this right, did users go through >10k repetitions on average?
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3. david_allison ◴[18 May 25 16:09 UTC] No.44022358[source]▶
Given users were self-selected SuperMemo users who needed to use GitHub to upload exported stats, it feels a low (FSRS benchmarks average ~70k per user, filtered to a random selection of users with > 10k reps).

I wasn't involved in the benchmark, and don't know whether `SM16-v-SM17.csv` is a full export. Didn't see any reviews before 2020, and it may only be an export of a subset of reviews.

https://github.com/open-spaced-repetition/srs-benchmark/#dat...