I think the way anki handles backlog cards is unoptimal/bad

Is your feature request related to a problem? Please describe.
The current way anki handles backlog cards is that it doesn’t consider how long the card has been on backlog; it will give it to you the exact same way it would have if you did it on time. But it shouldnt. Say i did a card 2 days ago then when it was due the next day i didnt do anki, so i have backlog. 2 days ago, originally, the option for good was 1 day amd for best 2 days. If i had clicked best, so it was never in backlog, then, when i get it, if i click good because i remember it properly then it will be due in like 4 days. If it was backlogged wheb i get it in 2 days and remember it properly, then i only need to see it again in 4 days to remeber it, according to the schedauler, howerver when i remember it propperly in this seqaunce i have to do it in 2 days.

This makes comming back from backlogged cards harder than it needs to be.

Describe the solution you’d like
Fixed

Describe alternatives you’ve considered
It could be like this because when doing backlogged cards the user may rush, but i think the schedauler should assume that when someome is using anki they have enough time to do it properly

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What algorithm do you use? FSRS already keeps that in mind as far as I know and properly adjusts the intervals.

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The older algorithm (SM-2) also takes into account the actual time between reviews, though SM-2 uses a more simplistic adjustment than FSRS does.

In both cases, you still may not get the exact same result as if you had pressed “easy” in the previous review. Even if the time between reviews is the same, the card’s “Ease” or “Difficulty” rating is not (since that depends on the ratings you gave, not just the review intervals).

From https://github.com/open-spaced-repetition/fsrs4anki/wiki/The-Algorithm:

In FSRS, a delay in reviewing (i.e., overdue reviews) affects the next interval as follows:

As the delay increases, retrievability (R) decreases. If the review was successful, the subsequent stability (S) would be higher, according to point 3 above. However, instead of increasing linearly with the delay like the SM-2/Anki algorithm, the subsequent stability converges to an upper limit, which depends on your FSRS parameters.

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