@Charlotte analysis project
Revert rate user profiling:
- How many and what % of users who have edited on SE using app versions released 25 November 2019 and later are in each percentage bucket of revert rate (e.g., 0-1%, 1-2%, etc up to 7+%)
a. How many and what % of users have ever been temporarily suspended?
b. How many and what % of users are now blocked from the feature?
- We see from this report that the baseline revert rate for image caption edits has increased since late November. What % of that increase is driven by people who are new to using SE - meaning, those whose first SE edit is after 25 November 2019, using a version of the app released after that date? (Basically, are the n00bs we're attracting qualitatively worse than the old people?)
The ultimate idea here is to try to figure out whether to reset the quality thresholds lower - and if so, to what level. We know from the Commons folks that it takes a lot for an edit to actually get reverted, so our thresholds probably need to be more sensitive. Since we didn't set them using very robust data in the first place (for reasons I explained on our call), now's the opportunity to recalibrate.