I’ve been using FSRS for 3 months and it’s finally resolved some of my pain points about having to trial-and-error adjust the old SM2 scheduling algorithm, sinc

I’ve been using FSRS for 3 months and it’s finally resolved some of my pain points about having to trial-and-error adjust the old SM2 scheduling algorithm, since the content of each deck can greatly affect what the optimal retention is. Now you can just retrain the weights for each deck you have every few months and it will adapt appropriately. The paper[0] is also definitely worth reading if you want to see some rigorous analysis of large-scale real-world spaced repetition science. Because of the extensive benchmarking most people probably will not benefit from refitting the weights to their collection until they have thousands of reviews (author recommends 1k+). Note it still works fine even if you do your cards late, since the recall probabilities are based on the stability and when you last reviewed the card, and the stability will update a bit longer if you somehow managed to still recall a card after the due date. [0] https://dl.acm.org/doi/10.1145/3534678.3539081?cid=99660547150 https://dl.acm.org/doi/10.1145/3534678.3539081?cid=996605471... [1] https://github.com/open-spaced-repetition/fsrs4anki/wiki/The-Algorithm https://github.com/open-spaced-repetition/fsrs4anki/wiki/The...