Yesterday, I came across an interesting Vox.com article discussing Congressional district gerrymandering. In the article, author Andrew Prokop highlighted several of the country’s most gerrymandered districts. Having recently crunched some numbers on geographic data, why not try to quantitatively define the most gerrymandered districts and states?

We’re less than two weeks into the 2014 baseball season, and most people would say that it’s too early to make any forecasts about the rest of the year.

At the start of this year’s NCAA tournament, FiveThirtyEight, the new website of reigning forecast champion Nate Silver, predicted each team’s chances of making it to different rounds of the tournament. In an update yesterday, FiveThirtyEight looked into how their forecasts were doing. Having made my own predictive bracket based on Las Vegas odds, I figured I’d do the same—and see who comes out on top.

This year, Warren Buffett promised a billion dollars to anyone who picks a perfect bracket. Unfortunately, the odds aren’t in your favor—the chance of picking a perfect bracket if you pick every game at random is one in 9 quintillion (or 9,000,000,000,000,000,000).

When Netflix wanted to create a hit TV show, it turned to data. By analyzing its viewers habits, Netflix uncovered that its customers particularly liked Kevin Spacey, director David Fincher, and political thrillers. In part because of these interests, Netflix brought the three together to create House of Cards—and thus far, the results have been tremendous.

While watching the Sochi Olympics over the past two weeks, I couldn’t help but notice the range of different athletes that compete. On the one hand, there’s 15-year-old German ski jumper Gianina Ernst and 4'10" Canadian figure skater Meagan Duhamel. On the other hand, there’s 55-year old alpine skier Hubertus Von Hohenlohe and 46-year old linebacker/Jamaican bobsledder Winston Watts.