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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.We started our process at Chatroulette Map, an awesome new site that plots screenshots from random Chatroulette sessions on a map.If they excluded data points for any reason or did not sample randomly, our analysis could be skewed.
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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 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.
Chatroulette Map ties Chatters to Locations It's a little-known fact that anyone you chat with on Chatroulette can determine your IP address using a program like Wireshark.
Chatroulette Map uses this IP data to geolocate and map random chatters on their website (along with still photos from their chats).
Even if there were equal numbers of male and female users, males would enter the pool more often and would therefore appear in front of you more often, making the "average session" more likely to contain a male chat partner.
Because of this, all of our statistics are about the average session and not the average user.Getting the data, however, was a bit of a challenge.The good news, however, is that a roulette wheel is the statistician's best friend.It's no surprise that Chatroulette is the latest media darling.It has all the elements of a good story: technology, mystery, celebrity, and sex.In under two hours, we received 10,770 photo assessments from 1,012 distinct IP addresses. Caveats Before we get to the data, we should point out the uncontrolled inputs that could be skewing these results: We know nothing about how Chatroulette matches up chatters, and we act on the assumption that pairings are truly random.