Really thorough statistical analysis of Anki (flashcard app) data

rpubs.com/rain8/1100036 Its a work in progress with only two steps finished. Not exactly an addon because its in R not Py. So far the project does many little things like find bugs in user’s collection, describe the growth of their collection and text mining. Ultimate goal is to hopefully be able to use anki as continuous cognitive tester and allow users to learn about and optimize their memorization process. Instructions to run on your own data : github 

I am not sure data in anki could really be used as a continuous cognitive health test. Probably requires removing lots of artifacts and other influences and then finding outside influence that definitely relates to cognition.  Lit review.

Just do one new thing a day to solve one of your problems. 

I feel like the word "learn" has to be in this sentence. 

Yea electronic (screens?) have some weird neurological effect on me. I wish I learned to be satisfied with books and note taking. 

The impersonal internet runs Kialo-like debates and builds complex wikis where data and arguments matter more than the pseudonymized person behind them. A hybrid of expert and blogger is generally seen as a failed specialization.

Persistence and collaborative writing will finish writing the common stuff faster and mean that only scholars will be left to work on this stuff. 

Cross Validated Stack Exchange has a list of Bayes books recommended by their skilled community. Other SE sites probably also have textbook suggestions. 

This problem inspired VV's 'Zones of Thought' series. In those books the closer a character gets to the center of the galaxy the lower the maximum possible cognition even for an AGI.

The specific word 'greyspaces' makes me think of something like bad architecture  a perspective on morality. Could you call this concept something else like 'intermediary spaces'?

Thank you that works as desired!

I have see lots of advice on reddit, here and anki's own forums about to formulate anki cards and use anki in general. Too much in fact. Sometimes its even contradictory. In the end I use some of it but ignored most. Alot of this has to do with the fact that the advice depends on the type of card and on you. If the card is just one word to another to automatize foreign language vocabulary you will want brevity speed fluency and more of these cards per day. If its cloze deletion to memorize a poem / notes card can not be brief and speed is not so important. If its a test like understanding a sentence of a foreign language then it wont go back into review and I do many of these cards irregardless of the count of new cards. I also suspect it depends on the user though I have not really had enough data to give examples. To further all of this including finding the right advice for each person, I have written some part of an analysis of anki data. Unfortunately not many people seem to care so I stopped. Please run this R notebook on your data.

Please give an example of JavaScript code that would make a minor wording tweak. I often find I need to not memorize the cue so precisely.