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For a long time, in Quantified Self it was easy to get data on heart rate and sleep but took more effort to get data on cognitive performance on a daily basis. Options like Quantified Mind do exist, but they require you to spend valuable extra time on it.
For a while I have been thinking that it should be possible to get good data out of Anki for those people who have a daily Anki habit. Given that some days people don't answer all their cards that are due and other days they review cards ahead of schedule, the existing statistics of Anki aren't ideal. My idea for fixing it is to compare Anki's predicted probability of answering a card correctly to the actual results to isolate the daily cognitive ability.
When it comes to long-term memory formation it's hard to run studies that investigate it over longer stretches of time and have sufficient data in the framework that most psychology studies are run. From Anki history it's possible to calculate a metric for memory formation that might be a tool to investigate memory that's new. A lot of scientific progress is about having better tools, so this would be great to have a new tool.
I had this idea for years and was sometimes thinking whether I could talk someone into making this project their master's thesis. Now, AI has reduced the amount of work to do it and I created my own Anki plugin: Quantified Cognition. It calculates the statistics for you, including measures of uncertainty. You can export the data as a .csv and there's a mode to do daily auto-exporting so that it plays well with whatever pipeline you have for your own data.
Separately, ever since Guzey's takedown of Matthew Walker, I'm uncertain about the benefits of sleeping seven hours vs. sleeping eight hours. One way to make progress on this question is to look at how Oura data relates to my new cognitive performance scores. If sleeping 8 instead of 7 hours in a night improves the long-term memory formation that would be a useful piece of knowledge. The s