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We posted the link to Hacker News on Saturday night. Five minutes later, the data was loaded into a hosted dashboard on RJMetrics and returning the results you see below.
Moore, the CEO and co-founder of RJMetrics, an on-demand database analytics and business intelligence startup.
His last guest post was an analysis of Twitter user data.
These included questions on age, gender, and what the person in the photo was doing.
We coded up the backed so that a photo wouldn’t be taken out of rotation until two votes from different IP addresses provided an identical set of answers.
So, we decided compile the data ourselves by leveraging Chatroulette Map, some scrappy programming, and a passionate tech community.
We soon had detailed data on 2,883 Chatroulette sessions that tied users to geography, gender, appearance, and more.
As an added bonus, the file name of each image is a UNIX timestamp of when it was taken. (Note: we tried contacting the creators of Chatroulette Map to participate in this story but did not receive a response.) Once we had photos, times, and locations, we needed data on what was happening in each chat photo.
We coded up a quick webpage that displayed a random photo from the data set and asked some basic multiple-choice questions about that photo.
Of the perverts that were identified, only 8% were female.
Combined with the overall female rate, that means less than 1% of chats feature a female pervert.
For example, females tended to be younger than males, with 23% under 20 (vs. The most popular countries are shown below: The overall pervert rate in Chatroulette is 13%.Tags: Adult Dating, affair dating, sex dating