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Yearly analytics on my spaced repetition results

natemeyvis.com

21–30 of 78 posts

Re: Yearly analytics on my spaced repetition results

#23

> My correct-answer rate is approximately 89% That sounds like incredibly boring way to spend time. I'd aim for something like 20% at most. What's the fun in being asked things you already know?

The point of spaced repetition is to have you recall something right when you're just about to forget it. If you recall after it's been forgotten, that means you're forgetting a lot more, which means the system isn't working.

Re: Yearly analytics on my spaced repetition results

#24
> The prompt of my most-missed card (39 misses in 2025) is: Merrily We Roll Along (the musical) is based on a 1934 play by what two people

> [...] But, ChatGPT and Gemini both tell me that these effects are not statistically significant, despite having pretty large sample sizes.

Imagine he instead learned how to calculate staristical significance instead so he didn't have to believe AI guesswork.

Re: Yearly analytics on my spaced repetition results

#25
I sympathise. I did ~200k reviews in Anki and no idea how many in Renshuu in 2025 for language learning: German, Spanish and Japanese... and I think I got into Anki hell. For a long time, Anki was really useful for me, it pushed my Spanish and German forward, but now I plan to decrease the number of reviews significantly. I hope to spend no more than 30 minutes per day of flashcards, and the rest of time on immersion.

Re: Yearly analytics on my spaced repetition results

#26

Does doing this have utility? What problem does it solve? Years ago, I memorized 1034 digits of pi just to see what it felt like (reciting pi from memory felt like walking through a forest at night without bumping into any trees). So, there was some value in that experience. I wonder what this guy gets out of it?

Random example: In my last job I would point out JS language features that would have made my coworker's code more concise and canonical.

I hadn't done any JS coding beyond a few examples from a tutorial.

There's no way I would have retained that knowledge otherwise.

There are many such examples. In general it's extremely useful for retaining things you are not going to develop muscle memory for.

"Memorizing by doing" is great if you're doing often. What if you're not?

Re: Yearly analytics on my spaced repetition results

#27
post #19

As someone who did about 51k in 2025, oh my goodness how would you possibly have time for 300k?

I did 10k reviews. Admittedly, very streakily - so spurts intense study for 2-3 months than several months off - I think about 2.5 spurts total. I felt pretty wrung out after. 51k is a ton, congrats!

Re: Yearly analytics on my spaced repetition results

#28
post #2

From the article: > For example, I only record the correctness of a response, not its subjective difficulty, and I mix in random cards with my study sessions to make it harder for me to guess the answer on the basis of when I'm seeing the card. Sounds a bit like the Leitner system [1] with respect to recording only Correct/Incorrect responses. One of the reasons I avoided Anki for a long time was that I wanted to be…

I would love to hear more about your setup!

Re: Yearly analytics on my spaced repetition results

#29

> My correct-answer rate is approximately 89% That sounds like incredibly boring way to spend time. I'd aim for something like 20% at most. What's the fun in being asked things you already know?

That sounds nearly perfect for FSRS [1], the default spaced repetition algorithm used by Anki, which aims at estimating the time it takes for memory stability to decline from 100% to 90%. At the estimated 90% stability point, FSRS would require a review, so naturally a mature deck of flashcards would hover between 90-100% stability.

1. https://expertium.github.io/Algorithm.html

Re: Yearly analytics on my spaced repetition results

#30

> The prompt of my most-missed card (39 misses in 2025) is: Merrily We Roll Along (the musical) is based on a 1934 play by what two people > [...] But, ChatGPT and Gemini both tell me that these effects are not statistically significant, despite having pretty large sample sizes. Imagine he instead learned how to calculate staristical significance instead so he didn't have to believe AI guesswork.

Yes, different strokes I guess but I can't imagine just using flashcards for random information. And you'd think someone who wrote(maybe vibe coded?) a flashcard program would be calculate that by hand.
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