Anki on Mac in 60 seconds

lukeprog

Spaced repetition - like the 'Anki' program does - is one of the most efficient ways to learn new things. (For research citations, see 'Study methods', here.)

I previously explained how to get up and running with Anki on an Android phone. Here's the guide for using Anki on a Mac:

Go here and click 'Download Latest Release' (or here if you're on PowerPC).
Open the downloaded .dmg file, drag the Anki icon into your Applications folder in the dock, and then run the Anki application. (Click 'Open' when warned that the application was downloaded.)
Click 'Download' and search the list of decks for 'Less Wrong'. Download the 'Less Wrong Sequences' deck.
Set your review options as desired, then click 'Review.'

That's it!

(This full process will take longer than 60 seconds because of download speed, but will probably require only 60 seconds of interaction with the phone.)

Spaced repetition - like the 'Anki' program does - is one of the most efficient ways to learn new things. (For research citations, see 'Study methods', here.)

I previously explained how to get up and running with Anki on an Android phone. Here's the guide for using Anki on a Mac:

Go here and click 'Download Latest Release' (or here if you're on PowerPC).
Open the downloaded .dmg file, drag the Anki icon into your Applications folder in the dock, and then run the Anki application. (Click 'Open' when warned that the application was downloaded.)
Click 'Download' and search the list of decks for 'Less Wrong'. Download the 'Less Wrong Sequences' deck.
Set your review options as desired, then click 'Review.'

That's it!

(This full process will take longer than 60 seconds because of download speed, but will probably require only 60 seconds of interaction with the phone.)

That article says that each person uses 20% of the tools, not 80%. If everyone used a different 80% that would seem to imply at least a 60% overlap in usage for two people, and at least a 40% overlap for three. Probably the overlaps would fall more or less slowly for different tools along the usage curve you proposed. It seems like there should be some way to at least estimate the expected value here...

Maybe you could check package download statistics and history data (or something?) to see which things are most installed and most used. If you had data from many people I bet you'd find clusters in usage space that could turn into different sorts of flash card decks to help a person "join" that cluster, or become capable of code switching between computer usage styles? Or another use might be to help someone who takes an N year hiatus from coding who doesn't want to get too rusty at the keyboard?

Maybe you could check package download statistics and history data (or something?) to see which things are most installed and most used. If you had data from many people I bet you'd find clusters in usage space that could turn into different sorts of flash card decks to help a person "join" that cluster, or become capable of code switching between computer usage styles?

AFAIK, the Popcons all heavily anonymize their data down to 'installed or not', and don't include anything useful for clustering. (This is reasonable because with the dozens of... (read more)