Here are a few highlights from our findings: Thanks to RJMetrics, the analysis was easy.Getting the data, however, was a bit of a challenge.About 20% were under 20 and about 10% were 40 and older. There were no groups whatsoever of people 40 or older.
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.
Bringing down the global average is the United States, which boasts the lowest pervert concentration of the bunch: 10%.
Also worth mentioning are the users who display signs (like the one below) requesting female nudity.
If you haven’t heard of Chatroulette, this Daily Show segment is a good primer.
We were itching to study Chatroulette in a RJMetrics Dashboard, but no one seemed to have any good data for us to explore.
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.
In under two hours, we received 10,770 photo assessments from 1,012 distinct IP addresses. Before we get to the data, we should point out the uncontrolled inputs that could be skewing these results: As you might expect, you’re most likely to encounter a solo male in any given chat session. Interestingly, 11% showed no person at all while only 9% showed a solo female.
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.
We started our process at Chatroulette Map, an awesome new site that plots screenshots from random Chatroulette sessions on a map.