Because it’s Friday: Chatroulette

[This article was first published on Revolutions, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Yesterday, Drew Conway posted an analysis of the survival time to events on Chatroulette. If you’re familiar with Chatroulette, you’ll know what kind of events you can expect to occur when using it. (If you’re not, here’s a hint: don’t try it now if you’re at work.)

Sadly, it was all an April Fool’s Day joke. But Drew takes the opportunity to teach an important lesson: it’s really really easy to simulate some data (Drew provides all the necessary code to do so in R), create some convincing-looking charts, and publish an academic-sounding review of a “paper”. If Drew’s article hadn’t been posted on April 1, I’d bet good money that a news site somewhere would have linked to it.

Drew’s data was simulated, but Casey Neistat did actually collect real data (example: average time-to-pervert) from a Chatroulette session, and even did a controlled experiment (time-to-next for guy versus pretty girl). He made a movie about it, it’s kinda cute (especially the data presentation) but also slightly NSFW. Enjoy.

To leave a comment for the author, please follow the link and comment on their blog: Revolutions.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)