Comment by felipeerias 14 hours ago
I have been trying to use Anki for years. Every time it is the same story: I keep it up for a few months until I miss a couple days, then due cards accumulate far beyond what can be reasonably managed, and I end up spending more time trying to fix the app than actually learning anything.
>- let you pick a "max daily reviews" and then keep you from putting in too many new items up front, rather than letting you accidentally give yourself a huge daily workload after a few months
Anki allows you to do that. It's in the deck preset options under deck limits. Nowadays you can also set weekday workloads, to reduce workload eg. during the weekend.
Looking at the manual, Anki seems to let you manually set a new card limit, and also to set a review limit (after which it won't show more reviews even if they exist), but I didn't see anything for "given that I want a daily workload of this many reviews, limit my new cards automatically to try to not exceed that in future".
I feel like from a habit-forming perspective Anki would benefit from a fixed-time mode instead of varying the number of reviews. The default daily maximum is 200 reviews per deck, I think, but it's hard to tell whether that's too little or way too much until you've hit that level.
If you could set a study time of say 30 minutes, then when you skip a day, you could just do your usual 30 minutes and maybe only get through 50% of the scheduled cards, but you could slowly catch up over the next few days. And if on the contrary you run out of reviews for today, you could carry on with some scheduled for tomorrow until you've hit your target time.
FSRS can handle off-schedule reviews just fine, I think, so it should be able to accommodate such a rhythm where you don't always review cards on exactly the optimal day.
> All the SRS systems I've seen essentially assume the user is a perfect robot who will do their reviews every day without fail.
This reminds me of GTO (game theory optimal) play in poker.
There’s a perfect way to do things, so we should just try to do something as close to that as possible, right? The reality is that you can’t actually do things in this perfect way. In GTO’s case it’s that it’s too complex for a human to have memorized and in SRS many (not all) people will fail to follow the algorithm for one reason or another.
The problem is these strategies aren’t very resilient. If you miss the implementation by a bit, it can cause big losses. An algorithm that’s less theoretically optimal but more attainable by actual humans can end up much stronger in the real world.
It is not a human failing. A human who has huge amount of free time on Sunday, but comes home from work super tired on Monday did not failed anything. And from the other side, there wont be any difference between you revising a card after 89, 90 or even 95 days.
A human who had a lot of time to learn during January, because his job workload was easy is not failing anything if his job related workload becomes high in March and April. But, all that January effort will be punished by super high workloads in March and April in Anki.
You seem to be reading more into the phrase "human failing" than I intended by it. All I meant was the ordinary variations in human behaviour where we sometimes fall a little short of what we hoped we would or could do.
We seem to agree on the substance: that the SRS system should be able to work more humanely with and for the kind of entirely normal situations you describe, by for instance being able to adjust to variations in available time and picking the "best" cards to review rather than assuming the user will get through the whole lot, and in suggesting to them when they should do fewer new items to avoid difficulties in a month or two.
Anki has a feature named Easy Days which allows you to spend less time on Anki on some days of the week.
Source: https://docs.ankiweb.net/deck-options.html?highlight=easy%20...
Anki already has a max. review/day setting and has had it for a long time. In one of the recent updates, Easy Days were added: https://docs.ankiweb.net/deck-options.html#easy-days
This is one of the reasons I ended up writing my own language study system. I haven't used the FSRS thing mentioned above, but I've heard it's much better, and having looked at the algorithm, it seems like it should be better.
The other reason I wrote my own system was to integrate SRS with extensive reading. Basically, my algorithm tracks the difficulty of all the words and grammar concepts, like FSRS; but then it gives you content at the right level for learning (either fewer than 5 new concepts, or an average of 95% known material).
And among the things that fits, it balances reviewing older material and learning newer material, based on what would have the largest impact. (Reviewing something you're about to forget has a bigger impact than learning something new, because the new thing you're going to forget much more quickly. So the balance of new / review and spaced repetition falls out naturally.)
This is an area where I feel like there's scope for improvement in the SRS space. All the SRS systems I've seen essentially assume the user is a perfect robot who will do their reviews every day without fail. But most people will have off days or go on holiday for a week and not look at the app, or whatever -- and as you note, the user experience in that case is awful: you come back to a huge number of reviews which is pretty discouraging to even start, you probably get more of them wrong than usual, so you likely do fewer reviews than you normally would, and the situation tends to get worse instead of better.
An SRS system which took more account of the human failings of the user might:
- let you pick a "max daily reviews" and then keep you from putting in too many new items up front, rather than letting you accidentally give yourself a huge daily workload after a few months
- let you tell it "I'm going to be on holiday in a month's time" and have it figure out what to do with reviews and new items to minimise disruption
- when you do come back after a break, pick the most useful reviews to offer the user up to the daily limit (e.g. something whose review interval is six months can wait a few more days, something the user added very recently and has seen only once could be put back into the "new items" bucket to relearn later, so if the user is only going to do 100 of their 300 due cards, other cards are more important to review today)