Did you not see the real delays but the intervals instead? With Anki’s 20 minute learn ahead, that will be really inaccurate but you already know that I guess?
To get this conclusion, you need to make an assumption that a very large fraction of these reviews were done after 60s.
But, what if a significant number of users in the dataset are not using the default learning steps. Also, what if they are using the default learning steps but they allow a longer time to pass before they get back to the reviews (if they are busy with other tasks).
As an extreme example, what if all of the reviews that were actually done after 1 min were Pass and only those which were delayed (because of different learning steps or busy schedules) were Fail. In this case, retention after 1 min is 100%.
You are right. According to my initial analysis, the median interval after pressing again is 114s. Seems most people tend to delay it. However, it could be another reason to shorten the learning steps because if people tend to delay, a short step may make up for it.
Consider that even if you do your reviews in one go, you’ll have a queue of learning cards getting due around the same time. Going through them means what was a 30 second interval becomes, say, 60 seconds. So, some cards will have a shorter delay and some will have a longer delay.
Although that’s not always happening. If you spend the same amount of time for every single review, cards will appear at the right time and will get reviewed at the right time.
I guess from a mathematical point of view the extremely short intervals make sense, but 17 seconds is just absurd. That would mean 1 or 2 flashcard reviews in between… there is no chance a user can experience a genuine memory recall, and the number of total reviews will increase significantly.
Aiming at a 90% retention rate or any specific target shouldn’t be enforced in the very short term. Seeing a card again in 17 seconds would not have a more meaningful impact than reviewing the card in 10 minutes or the next day (after memory consolidation during sleep).
From the stats shown for your deck, would the correct learning steps for 90% retention then be 48s,8083s? Is there enough information in these stats shown to give the correct relearning step(s)?
Are these values expected to match the intraday intervals given by FSRS when I leave leave learning steps blank?
I have always known that the again interval was way too high for my liking even though people were trying to tell me off it. Since my memory is on the other extreme end of being borderline fish-memory, I am currently using 1s 3m as my learning intervals with my automatic learning step scheduler handling the rest.
Would I also be able to know if this is optimal in my case by any chance How does this work
How does this work