Change Details

> **Impact so far**: How many non-bot edits have been blocked for belonging to one of the IP ranges that are being used for Relay? We want to know these counts grouped by these attributes: > - Date > - Wiki project (e.g. English Wikipedia, Indonesian Wikisource, Commons, etc.) > - Platform (e.g. desktop, mobile, iOS app, Android app) > - Operating system (e.g. iOS 14, iOS 15, etc) > - Whether the edit was from a logged-in account or not.

//Original request// > **Impact so far**: How many non-bot edits have been blocked for belonging to one of the IP ranges that are being used for Relay? We want to know these counts grouped by these attributes: > - Date > - Wiki project (e.g. English Wikipedia, Indonesian Wikisource, Commons, etc.) > - Platform (e.g. desktop, mobile, iOS app, Android app) > - Operating system (e.g. iOS 14, iOS 15, etc) > - Whether the edit was from a logged-in account or not. --- //Adjusted request// There are two questions we want to answer next. In bold are the questions from the product perspective. Under them are "potential tactics" for answering the questions, but the analyst can decide how best to approach them and with what datasets. We want to include both logged-in and logged-out usages for all of these. * **How widespread is the adoption of Relay among Safari users? How has it been changing over time?** ** Potential tactic: Of all the web requests we're getting, what percent of them are coming from Relay IP addresses over time? This might be broken down by day, week, or month -- we want to see if it's increasing and at what rate. Bonus: are these, in fact, almost entirely from Safari and from iOS 15? ** Potential tactic: Of all the web requests we're getting //associated with editing// (e.g. loading the editor or sending an edit publish request), what percent of them are coming from Relay IP addresses over time? This might be broken down by day, week, or month -- we want to see if it's increasing and at what rate. Bonus: are these, in fact, almost entirely from Safari and from iOS 15? * **How many edits are not happening because they are being blocked simply for coming from Relay IP addresses?** ** Potential tactic: *** How many of the web requests to publish an edit come from Relay IP addresses over time? And how many have come in from other IP addresses (for comparison)? *** How many of the edits published come from Relay IP addresses over time? And how many have come in from other IP addresses (for comparison)? *** Then we would subtract one from the other to guess at how many edits have been blocked from those Relay IP addresses.

//Original request// > **Impact so far**: How many non-bot edits have been blocked for belonging to one of the IP ranges that are being used for Relay? We want to know these counts grouped by these attributes: > - Date > - Wiki project (e.g. English Wikipedia, Indonesian Wikisource, Commons, etc.) > - Platform (e.g. desktop, mobile, iOS app, Android app) > - Operating system (e.g. iOS 14, iOS 15, etc) > - Whether the edit was from a logged-in account or not. --- //Adjusted request// There are two questions we want to answer next. In bold are the questions from the product perspective. Under them are "potential tactics" for answering the questions, but the analyst can decide how best to approach them and with what datasets. We want to include both logged-in and logged-out usages for all of these. * **How widespread is the adoption of Relay among Safari users? How has it been changing over time?** ** Potential tactic: Of all the web requests we're getting, what percent of them are coming from Relay IP addresses over time? This might be broken down by day, week, or month -- we want to see if it's increasing and at what rate. Bonus: are these, in fact, almost entirely from Safari and from iOS 15? ** Potential tactic: Of all the web requests we're getting //associated with editing// (e.g. loading the editor or sending an edit publish request), what percent of them are coming from Relay IP addresses over time? This might be broken down by day, week, or month -- we want to see if it's increasing and at what rate. Bonus: are these, in fact, almost entirely from Safari and from iOS 15? * **How many edits are not happening because they are being blocked simply for coming from Relay IP addresses?** ** Potential tactic: *** How many of the web requests to publish an edit come from Relay IP addresses over time? And how many have come in from other IP addresses (for comparison)? *** How many of the edits published come from Relay IP addresses over time? And how many have come in from other IP addresses (for comparison)? *** Then we would subtract one from the other to guess at how many edits have been blocked from those Relay IP addresses.