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In under two hours, we received 10, photo assessments from 1, distinct IP addresses. These stats appear to be based on a data set of 1, points pretty impressive for a single user. It contains a statistical breakdown of what this user saw during his many Chatroulette chat sessions. In contrast, the chance a male will be part of a group is only about 1 in This analysis excludes cams where age could not be estimated. The central limit theorem tells us that a large set of random observations allows us to draw high-confidence conclusions about the underlying data set. Guest author Robert J. Most chat partners are young adults. Y ou are more likely to encounter a webcam featuring no person at all than one featuring a solo female. 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. Note: we tried contacting the creators of Chatroulette Map to participate in this story but did not receive a response. Chatroulette pervert concentration is the highest in the UK. When we combine age with the gender statistics that we tracked above, we learn even more. Every photo received a corroborated profile. Five minutes later, the data was loaded into a hosted dashboard on RJMetrics and returning the results you see below. We started our process at Chatroulette Map , an awesome new site that plots screenshots from random Chatroulette sessions on a map. In trolling through the thousands of photos collected by Chatroulette Map, I came across this extremely interesting image. Chatroulette Map uses this IP data to geolocate and map random chatters on their website along with still photos from their chats. Most chatters are from the United States. Once we had photos, times, and locations, we needed data on what was happening in each chat photo. This means about 1 in 8 chat sessions will have something decidedly Rated R or NC on the other end. Also worth mentioning are the users who display signs like the one below requesting female nudity. Also interesting is the prevalence of groups on Chatroulette. The numbers are generally in the same ballpark as ours although we observed a higher pervert rate. We posted the link to Hacker News on Saturday night. So, we decided compile the data ourselves by leveraging Chatroulette Map , some scrappy programming, and a passionate tech community. We had our data. He was previously a venture capital analyst and currently serves as an advisor to several New York startups. Because of the mostly-anonymous nature of Chatroulette, that data will be hard to come by. Here are a few highlights from our findings: About half of all Chatroulette spins connects you with someone from the USA. These included questions on age, gender, and what the person in the photo was doing. Most Chat Partners were Male. As an added bonus, the file name of each image is a UNIX timestamp of when it was taken. Getting the data, however, was a bit of a challenge. It has all the elements of a good story: technology, mystery, celebrity, and sex.

This is a guest post by Robert J. In an ideal world, it would be great to analyze things like average session length based on different attributes, chat user chatroulette com proxy rates, cohort analysisand more. Thanks to RJMetricsthe analysis was easy.

His last guest post was an analysis of Twitter user data. Chatroulette Map ties Chatters to Locations.

That number is 1 in 12 for males.

Groups of females were even younger. However, this means that if you do encounter a female, there is about a 1 in 3 chance that she will be part of a group. We soon had detailed data on 2, Chatroulette sessions that tied users to geography, gender, appearance, and more. Scarcity of the data made this project both challenging and exciting. Sound familiar? The most popular countries are shown below:. For now, at least you have a better idea of what you will see when you hit that Next button. There were no groups whatsoever of people 40 or older. We were itching to study Chatroulette in a RJMetrics Dashboard , but no one seemed to have any good data for us to explore. Before we get to the data, we should point out the uncontrolled inputs that could be skewing these results:.