Given that the reviews are assigned according to an algorithm, I guess there must be a formula somewhere, but I couldn’t find it.
Assuming that I do N lessons a day, do all the reviews when they appear and get P per cent of them right, how quickly will reviews accumulate? If I do all reviews correctly, I should probably reach a steady state at some point when I need to review only as many items as I learn but what if my success rate is lower, e.g. 80, 70, or 50%? How many reviews am I looking at in a week or a month?
If you want to know this accurately you’ll need to know your accuracy for every tier of the SRS progression, not just average. Failing an apprentice 3 review does not have the same consequences as failing an enlightened review.
I see, thanks! But then there is probably a general trend in the number of errors across levels (a bit more righter after seeing the word for the first time, etc.), so this can be approximated somehow.
This is not exactly it (the post’s author does not try to calculate the actual number of reviews and how they accumulate, only the average number of reviews per new word), but this is very close, thanks a lot!
The WaniKani Estimator may be what you’re looking for. It lets you input your number of lessons per day and your mistake rate along with other variables. It then shows you what your reviews will look like the next year.