Back

SRS Simulator

#1
Here's a web version of the SRS simulator I posted some time ago. It's probably not very accurate, but it should give you a rough estimate of how many cards you'll be reviewing daily a year from now if you keep adding x cards per day.

http://isoron.org/stuff/japanese/srs_simulator/

I'm releasing it into public domain, so feel free to modify it and redistribute it however you like. Critics and suggestions are very welcome.
Edited: 2010-05-20, 12:00 pm
Reply
#2
Its not working for me, I guess.

I´m using chrome.
Reply
#3
Can you explain what variables you stick in with a bit more detail?
Reply
May 16 - 30 : Pretty Big Deal: Save 31% on all Premium Subscriptions! - Sign up here
JapanesePod101
#4
Working perfectly with Firefox
When you mouse over the line it would be great if you get the day along with the number of cards: 500,135 for instance.
I am interested in the number of cards I will have till a certain date and even I get a general idea it is difficult to say.
Reply
#5
This shows how crazy it is to do 20 new cards/day for thousands of cards
Slow pace is the best pace.
Reply
#6
No, its shows the success multiplier is far too low.
100 new cards per day = 1100 reviews per day in the long term
100 new cards per day = 520 reviews per day in the long term if you change the success multiplier to 5.5.
My experience w/ Anki says if you pick "very easy" (which you won't for all cards, but hey), you get ~7 days the first time and ~1.3 months the second time. The multiplier is ~5.5.

If you backsolve this (I think 520 reviews/day is too many), if you add 19 cards/day you end up w/ 100 reviews per day in the long term.

I think his "young rate" is way too high - I set it at 0.5 and got 720 long term reviews for 100 cards/day.
Edited: 2010-05-20, 10:47 pm
Reply
#7
I thought this thread was going to be about Leitner flashcards in a shoebox or something.
Reply
#8
jcdietz03 Wrote:No, its shows the success multiplier is far too low.
100 new cards per day = 1100 reviews per day in the long term
100 new cards per day = 520 reviews per day in the long term if you change the success multiplier to 5.5.
My experience w/ Anki says if you pick "very easy" (which you won't for all cards, but hey), you get ~7 days the first time and ~1.3 months the second time. The multiplier is ~5.5.

If you backsolve this (I think 520 reviews/day is too many), if you add 19 cards/day you end up w/ 100 reviews per day in the long term.

I think his "young rate" is way too high - I set it at 0.5 and got 720 long term reviews for 100 cards/day.
His rates were actually lower than mine, and his success multiplier just a little lower than mine, so i guess that's really personal
Edited: 2010-05-21, 3:00 pm
Reply
#9
This doesn't work in chrome or safari - is this a problem with a framework you're using?
Reply
#10
Blahah Wrote:This doesn't work in chrome or safari - is this a problem with a framework you're using?
It should work fine on both now.

Daichi Wrote:Can you explain what variables you stick in with a bit more detail?
The model works like this: each card has an interval, measured in days, and a due date. When the due date equals the current date, the card is tested. The test is probabilistic: if the interval is less than or equal to 21 days, the card has a young rate probabilty of passing; if the interval is greater than 21 days, the card has a mature rate probability of passing. When a card passes the test, its interval is multiplied by the success multiplier and it's scheduled to tested again in interval days. When it fails, its interval is multiplied by the failure multiplier and it's scheduled to be tested again in the following day. After all due cards are tested, up to new cards per day are created, and are scheduled to be tested in the following day. You can define the initial interval of the new cards.

This model differs from SRS'ing with Anki in two ways: first, there are only two buttons: pass or fail. Second, the success multiplier is fixed; Anki changes it based on how you grade the cards.

This model differs from reality in at least one significant way: the test is probabilistic and the rates are fixed. To see why this is a problem, just imagine a deck with a fixed number of cards. No matter how hard the cards are, it's almost certain you'll master them in a finite amount of time. In other words, it's almost certain that your rates will raise until they reach 1. As the simulator uses fixed rates, this will never happen.

But anyway, I hope it's close enough for a rough estimate. If you can think of a better model, please do suggest it, and I'll try to implement it. Smile
Edited: 2010-05-27, 1:00 pm
Reply
#11
Great thanks iSoron works on all browsers now.
Reply