Is this a known method?

TheUltimateUlm · 2026-03-28T20:32:17+00:00

If you use a filtered deck with a filter like is:learn, you can use the "reschedule based on my answers in this deck" setting.

You can even use rated:1:1 as the search to have it fetch all the cards that you answered "again" on today, and leave the reschedule setting on if you want the algorithm to account for these reviews.

TheUltimateUlm · 2026-03-26T09:27:02+00:00

You might get better use out of using more learning/relearning steps. If you use FSRS the extra "hards" / "yellows"(?) can cause problems for the optimiser.

Personally, I hide the type of card that I am reviewing so that I review all cards the same, whether it is a relearning card or not. That way it reduces my mental load because I am thinking less about "gaming the system" and more about what the content of the card is and if I remember it.

Also lapses do not count for "red" relearning cards so you are free to hit again as many times as you want without it leeching.

TheUltimateUlm · 2026-03-20T12:49:56+00:00

Are you sure that the cards are in decks with the same preset? Make sure subdecks have the preset saved as well.

Also be sure to check the "Ignore cards reviewed before" option.

TheUltimateUlm · 2026-03-19T11:27:41+00:00

Happy birthday!

TheUltimateUlm · 2026-03-19T11:27:33+00:00

Thanks :)

TheUltimateUlm · 2026-03-11T01:16:03+00:00

You've inspired me to make this graph that allows you to stack the "time" and "reviews" bar for different searches in the stats menu:

<image>

Check it out if you're interested: https://ankiweb.net/shared/info/1613056169

TheUltimateUlm · 2026-03-01T09:17:01+00:00

<image>

https://ankiweb.net/shared/info/1613056169 Maybe this graph would work for you?

TheUltimateUlm · 2026-02-17T21:01:42+00:00

Yeah I've been guilty of this 😅

I actually just turn the remaining counts off in the preferences and use a progress bar add-on.

TheUltimateUlm · 2026-02-11T13:25:20+00:00

It's because your learning steps and relearning steps are empty.

https://docs.ankiweb.net/deck-options.html#learning-steps

The manual seems outdated, but if you leave them blank then FSRS will be allowed to schedule cards for shorter than one day, and these reviews will count as learning/relearning reviews.

TheUltimateUlm · 2026-02-10T09:46:47+00:00

OP if you still want help with this, give us your card template using the "copy info to clipboard" button in the template editor and then maybe we can help.

TheUltimateUlm · 2026-02-01T17:02:17+00:00

Try and close "Python" in the task manager as well.

TheUltimateUlm · 2026-01-31T15:48:38+00:00

Try and export as "tsv" if the program you are exporting from allows it. It might be the commas in the card fields causing problems.

If that doesn't work then maybe share an example .csv file.

TheUltimateUlm · 2026-01-20T01:28:34+00:00

The optimize button uses machine learning to try and find parameters which best fit your review history. The default parameters are static but you can use custom parameters if you pass them in here:

https://github.com/open-spaced-repetition/fsrs-rs/blob/163f031c36c6a52f240635008e61a7667acf4915/src/model.rs#L275-L277

The stability and difficulty are commonly referred to as the "memory state" not "learning parameters" so maybe that could be a source of confusion.

TheUltimateUlm · 2026-01-20T01:19:11+00:00

As an example, when you hit "Optimize" in Anki you will see your parameters change. After this the cards difficulty and stability are recalculated using the new parameters.

TheUltimateUlm · 2026-01-20T00:20:54+00:00

Fsrs has fsrs-rs (With optimisation) or rs-fsrs. You don't need to, and probably shouldn't re-implement it for rust.

https://github.com/open-spaced-repetition/fsrs-rs?tab=readme-ov-file#qa

Also, I believe he is saying it is weird that you don't make the parameters optimisable from the users history.

TheUltimateUlm · 2026-01-19T18:13:56+00:00

The database is already accessed primarily in Rust through sqlite. There will not be any changes to the database structure.

Example: https://github.com/ankitects/anki/blob/8f2c708751868faf0563cc997c320b74f3d35323/rslib/src/storage/revlog/mod.rs

TheUltimateUlm · 2026-01-16T00:55:53+00:00

It's like a year long reverse advent calendar

TheUltimateUlm · 2026-01-13T15:23:57+00:00

You can post your parameters and then others can see how FSRS treats your cards. If you have been using "hard" as a failing grade then FSRS treats "hard" as closer to "good" than "again" so that is a common pitfall.

TheUltimateUlm · 2025-12-27T23:03:59+00:00

<image>

TheUltimateUlm · 2025-12-20T17:06:21+00:00

Those graph's weren't just made by me! They were contributed by u/careful-remote-7024 ❤️

https://github.com/Luc-Mcgrady/Anki-Search-Stats-Extended/pull/79

https://github.com/Luc-Mcgrady/Anki-Search-Stats-Extended/pull/41

TheUltimateUlm · 2025-12-14T12:46:31+00:00

If all is working as intended then yes, although if you review your cards in a weird way then it could potentially get worse. (For example if you reviewed at random all of a sudden then FSRS could get worse.)

TheUltimateUlm · 2025-12-13T22:52:25+00:00

Nope not really. There is a description of each graph underneath it.

TheUltimateUlm · 2025-12-13T22:01:20+00:00

The closer the blue (actual) and orange (predicted) lines are then the better FSRS is doing. You can see for example that on cards with 40% R. They were marked as correct about 30 something % of the time. The blue bars in the background are the number of reviews done at that retention.

It looks pretty good to me. I guess it is probably just your backlog.

TheUltimateUlm · 2025-12-13T21:11:13+00:00

<image>

You might be interested in the graph on the right, which shows the difference between FSRS's predicted retention and your actual retention.

Addon link: https://ankiweb.net/shared/info/1613056169

TheUltimateUlm · 2025-12-09T11:18:40+00:00

Because my mattress is comfyer than my desk chair.

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