Double check that there are actually due cards. Go to the stats then click the “collection” radio button and see the first graph. Also check the pie chart with the checkbox ON to see if the cards are suspended or not.
Check the deck options of all your decks. This includes parent decks as well as child decks. Typically, the problem is that subdecks have 0 limits.
Check the cards in the card browser. Search for deck:filtered. The cards shown should be in a filtered deck and thus not in your normal decks. You can then right click to open the card info, where you’ll see the filtered deck’s name. After that, look for the filtered deck and delete or empty it.
If none of that works, post more screenshots including the full deck options screen and the decks screen.
Open the browser and search for is:due -is:learn. This should tell you how many green cards you should see. If it shows 2 cards then everything is working as expected.
There are no optimal learning steps, but people generally recommend one or two short learning steps. Experiment and find what suits you.
As for FSRS, simply enable it, set the desired retention to how much you want to remember and optimize every month or so. Read Reddit - The heart of the internet for more details.
As ZornHadNoChoice figured out – those don’t seem to be Review cards. Those 2 cards in your Physics deck are the only ones you’ll see if you search is:due -is:learn.
You’ve got 3 learning steps, which will take a minimum of 8d to complete, if all are successful – and your Graduating interval is an additional 15d on top of that. So after introducing a card, the soonest you would see it as a due Review card is 23d later.
I took a look at your collection, and the oldest cards from the past month were introduced 21 days ago, so they aren’t due yet. They are either still in Learn/Relearn, or they have graduated to Review, but not yet reached their due date.
There are no optimal learning steps, but people generally recommend one or two short learning steps. Experiment and find what suits you.
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If this is true, then it’s likely because of your learning steps: steps longer than a day are not recommended.
You’ve already received this answer above. And it’s partially true. But still, why not try learning something in stages, then in stages, and see what works best for you?
It also depends on the cards and how complex the topic is. Generally speaking, studying a card shouldn’t take more than 30 seconds, and reviewing it shouldn’t take more than 10 seconds if you’ve already studied it. Ideally, you should aim for the answer to a card to be pronounced in 1 second. So, the length of a card should be a word or a short sentence. Then, the effectiveness will be greater.
There are exceptions, but I see you need to study over 2,000 cards, and I think it’s more complicated in medicine. You should ask people who have studied similar subjects; they’ll be able to advise better.
My advice isn’t even about the time, but rather the number of cards. You should repeat the first time after about three cards, so you’ll have to adjust the time. Then, after about 10 cards, adjust the time accordingly. And the standard 1 minute and 10 minutes are good for ideally simple maps.
I’d recommend that you stop trying to control things so tightly with the default SM-2 algorithm, and enable the newer FSRS algorithm instead.
Read Getting Started, so you know what Anki can do – and Studying, so you know how to use it. Skim the rest of the manual if you have time, so you will know where to find things when you want them later on.
Set one short (5m-20m) learning step and relearning step.
Optimize your FSRS parameters (and then come back monthly to re-optimize).
Study all of your due cards every day – no backlogs, no long re/learning steps to carry cards over to the next day.
Don’t introduce New cards at a faster pace that you can keep up with the reviews on. [Expect that your daily workload will be 8-10x your daily New card limit.]
Why one step though? I’m pretty confident I didn’t change (re)learning steps and my values are 1m 10m for learning and 10m for relearning. Did recommendations change (and if yes, why?) or is this just a personal preference?
Yes, those are the defaults, and those are also a fine place to start. But I haven’t been able to find anything suggesting they were chosen as the defaults based on any particular memory science or careful analysis – so it’s possible they are just steps that clearly demonstrate the functionality, and they’ve stuck as the defaults.
I make that recommendation based (1) on FSRS research that found multiple same-day steps have little effect on long-term retention, and (2) on FSRS functionality that considers multiple grades in Learn when setting the first interval when the card graduates to Review.
For some users, too many correct grades in Learn can cause a drastic increase in that post-Learn interval. All of the analysis of FSRS points to that effect being correct, based on those users’ review histories (meaning, it’s not a “bug”[1]) – but that doesn’t make it look any more rational when they see it.
A single step, as a starting point, deals with both points. Some users may find they need to add an additional step, shorter or longer, to deal with issues they are having in Learn, but that can’t be known until they get started.
Why do I suggest 5m as the low end?
I make that recommendation based on the small bit of brain and memory science I’ve picked up along the way. I’m only a dabbler in that area, but I’ve seen that this holds true for a good number of users.
If you can remember something for only as long as you can hold your breath, it’s probably still in your short-term/working memory, and you haven’t created a “real” memory of it yet. Extremely short steps (secs to ~2m) are a test of that working memory, but that success won’t necessarily convert to the type of memory spaced repetition is trying to help you build. So, if you can’t remember something for at least 5m, there’s a good chance you haven’t learned it yet.
