As part of the Stories initiative that Facebook launched yesterday, an interactive map by Stamen Design shows how people are connected on Facebook, which offers a view into how countries are linked by language and history.

Immigration is one of the strongest links that seems to bind these Facebook neighbors, as thousands of people pour over borders or over seas, seeking jobs or fleeing violence, and making new connections and maintaining old friendships along the way. Economic links, through trade or investment, also seem to be strong predictors of country connectedness. And finally, one of the most overwhelming trends we found as we explored this graphic is the strong tie that remains between nations and their former colonizers, whose continued linguistic, cultural, and economic ties still echo today.

Stamen also explained other interesting facets in the map.

When you click on a country, the map updates to show where friends of those in that country are from. The top five are labeled. So whereas previous Facebook maps showed all connections at once, which focused on how many people use the service, this one focuses on the actual connections and what they mean.

Kat Downs, Laura Stanton and Karen Yourish of The Washington Post look at the tax breaks from the 1970s to 2011 in an interactive.

The U.S. government gives away more than $1 trillion a year in tax breaks — subsidies for individuals and companies that are often substitutes for direct government spending.
Once written into the tax code, they tend to stick around.

Each stripe represents a tax break, and height represents the value of the break in 2011. Interaction is key here, which lets you select categories such as education and health and mouse over breaks for more information. The chart above is also linked with a time series, which provides an alternative view to the same data.

After he saw a New York Times article on the gender gap among Wikipedia contributors (The contributor base is only 13 percent women), Santiago Ortiz plotted articles by number of men versus number of women who edited. It’s interactive, so you can mouse over dots to see what article each represents, and you can zoom in for closer look in the bottom left.

At first glance, the difference doesn’t look that big, but notice the values of the axes. The axis for men on the horizontal is from 0 to 200, the axis for women is 0 to 20, and the equal ratio line is the purple one that’s nearly vertical. So the only article with more women contributors is on cloth menstrual pads.

See also: what the chart looks like with equally-spaced increments. The results are clear.

Nate Silver says the weatherman is not a moron.

Still, most people take their forecasts for granted. Like a baseball umpire, a weather forecaster rarely gets credit for getting the call right. Last summer, meteorologists at the National Hurricane Center were tipped off to something serious when nearly all their computer models indicated that a fierce storm was going to be climbing the Northeast Corridor. The eerily similar results between models helped the center amplify its warning for Hurricane Irene well before it touched down on the Atlantic shore, prompting thousands to evacuate their homes. To many, particularly in New York, Irene was viewed as a media-manufactured nonevent, but that was largely because the Hurricane Center nailed its forecast. Six years earlier, the National Weather Service also made a nearly perfect forecast of Hurricane Katrina, anticipating its exact landfall almost 60 hours in advance. If public officials hadn’t bungled the evacuation of New Orleans, the death toll might have been remarkably low.

I like the bit later in the article that describes the number crunching machine and how humans are involved in the analysis. The National Weather Service has heavy-duty computing power to process data coming from weather stations across the country, but the computer is still bad at doing a lot of things.

To most people, statistics means plugging numbers into an advanced calculator that spits out values, without much thought involved. Those people don’t work with data.

The elections season is in full swing, and the New York Times graphics department ramps up its election coverage. With newly hired Mike Bostock teamed up with the Times’ interaction guy, Shan Carter, I’m sure we’re in for some interesting work.

The two, along with Matthew Ericson, covered the words used at the Republican and Democratic Conventions, but yesterday they put up an interactive that shows the words used at both conventions.

Each bubble represents a word, and the bigger the bubble the more often it was used. The blue and red split compares word usage of Democrats and Republicans, respectively, and bubbles are arranged horizontally left to right, from words favored by Democrats to those favored by Republicans. For example, “forward” is far to the left, and “fail” is far to the right.

While the visual provides a sense of what was talked about, the best part is that the visualization is an interface into the transcripts. When you click on a word, quotes that use that word are shown, so you can see what was actually said alongside keywords. Plus, you can enter your own word or phrase, and a new bubble is placed accordingly with the corresponding text on the bottom.

The 8-inch cube RGB Colorspace Atlas by artist Tauba Auerbach shows every color in said colorspace. Cubic rainbow. What does it mean? [Colossal via @periscopic]

Remember photographer Noah Kalina? He took a picture of himself every day for six years and made a time-lapse video with the photos. The Simpsons even did a spoof that showed Homer’s life over a couple of minutes. Kalina’s kept the picture-taking going, and it’s been twelve and a half years now. He made a new video.

Six years is a long time, but you didn’t see that much change in the first video. In this one, you can start to see the age in his eyes. The forty-year update will be something to see.

[via kottke]

Nancy Lublin, CEO of Do Something, gives a five-minute TED talk on the potential in analyzing text messages. During a texting campaign, Do Something started to receive texts from troubled teenagers, that ranged from bullying to rape, which led to the organization’s work in setting up a texting hotline. Lublin hopes that, once the system is built, the data gathered from these messages can be used as a census of problems, and can perhaps be used in the same way that Target uses data to figure out if women are pregnant — but to save lives, instead of figuring out what coupons to send.

[Thanks, Tommy]