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andy_matuschak's profile
Andy Matuschak
Andy Matuschak
Andy Matuschak
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@andy_matuschak

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Andy MatuschakVerified account

@andy_matuschak

Wonder, blunder, salve, solve! Working on tools that expand what people can think and do. Past: led R&D @KhanAcademy; helped build iOS @Apple.

San Francisco, CA
andymatuschak.org
Joined November 2007

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    1. michael_nielsen‏ @michael_nielsen 9 Dec 2019
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      Here's the distribution of time people spend reviewing cards at https://quantum.country . The median time is about 6 seconds. The _average_ time is almost twice as long, at 11 seconds!pic.twitter.com/dGTDfsTxg8

      2 replies 0 retweets 13 likes
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    2. michael_nielsen‏ @michael_nielsen 9 Dec 2019
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      I find this fascinating. It suggests people mostly fly through at a steady clip, about 5-8 secs per card, but they're occasionally getting stuck, taking 10-20 secs for an outlier card.

      1 reply 0 retweets 6 likes
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    3. michael_nielsen‏ @michael_nielsen 9 Dec 2019
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      One model I like for thinking about spaced repetition review is that it should be almost meditative: you get into a zone. Outlier cards break that zone.

      1 reply 0 retweets 9 likes
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    4. michael_nielsen‏ @michael_nielsen 9 Dec 2019
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      I'm really not sure of that model, though. Another model is that it's _good_ to occasionally get stuck, to have things broken up. People often dislike this feeling, & feel that they're learning less, but there's quite a bit of research suggesting they're just wrong.

      2 replies 0 retweets 5 likes
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    5. michael_nielsen‏ @michael_nielsen 9 Dec 2019
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      So I'm kind of split about this. Should we try to eliminate outlier cards? Or are they really a feature? Not sure!

      7 replies 0 retweets 4 likes
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    6. michael_nielsen‏ @michael_nielsen 9 Dec 2019
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      Caveat: it's tricky to interpret such data. Maybe people are getting distracted, & that's why some review times are long - "oops, need to pay for my coffee!" Much beyond 20s, & I'll bet that's what is going on. But there's a lot 10-20s too, so I don't entirely buy that.

      5 replies 0 retweets 11 likes
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    7. 𝔊𝔴𝔢𝔯𝔫‏ @gwern 9 Dec 2019
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      Replying to @michael_nielsen

      Idling or errors? Looking at my Mnemosyne data: $ sqlite3 -batch default.db 'select thinking_time from log where thinking_time >=0;'|sort -g| uniq -c 3194 0 54 1 9 2 5 3 1 4 1 5 3 7 1 2971 1 3147 1 7326 1 10973

      1 reply 0 retweets 2 likes
    8. michael_nielsen‏ @michael_nielsen 9 Dec 2019
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      Replying to @gwern

      Interesting! What are the units? Seconds? Minutes? And how is thinking_time defined?

      1 reply 0 retweets 0 likes
    9. 𝔊𝔴𝔢𝔯𝔫‏ @gwern 9 Dec 2019
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      Replying to @michael_nielsen

      I assume it's either seconds or minutes and I believe it's time spent on the card before the next grade, but the point is the skew.

      1 reply 0 retweets 2 likes
    10. Andy Matuschak‏Verified account @andy_matuschak 10 Dec 2019
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      Replying to @gwern @michael_nielsen

      If it is minutes, that would be pretty consistent! It’s hard for me to imagine that the overwhelming majority of your reviews would be completed in less than one second. I wonder if it also tracks seconds, if my guess is right.

      2 replies 0 retweets 0 likes
      Andy Matuschak‏Verified account @andy_matuschak 10 Dec 2019
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      Replying to @andy_matuschak @gwern @michael_nielsen

      I should also mention that we dropped all durations greater than 50 seconds in that analysis, to try to remove obvious idling outliers. Those were <2% of samples, iirc

      12:19 PM - 10 Dec 2019
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