In the 3 1/2 minute video below, CGP Gray explains the nonsense behind the word “continent.”  It’s a cultural construct, with some geological rationale, but not enough to rationalize the seven that we recognize.

Also from CGP Gray: What the Bleep is the United Kingdom?! and The Economics of Royalty.

Lisa Wade is a professor at Occidental College and the co-author of Gender: Ideas, Interactions, Institutions. Find her on TwitterFacebook, and Instagram.

Dolores R. sent a link to a map created by Derek Watkins to show how the names given to geographic features reflect cultural patterns. Using a database of names officially accepted by the U.S. Board of Geographic Names, Watkins mapped generic terms used in the names of streams (excluding “creek” and “river,” which are commonly used throughout the U.S and were plotted in a gray that fades into the background):

The generic terms reflect historical immigration patterns. “Kill” appears in areas of New York originally settled by the Dutch; “cañada,” “arroyo,” and “río” indicate areas of Spanish exploration and settlement in the Southwest; of course, Louisiana and the surrounding area still reflects its French heritage through the term “bayou.”

The map reflects internal migration and cultural diffusion within the U.S., as well. For instance, Watkins suggests that the patch of red in southwest Wisconsin, indicating the use of “branch,” may be due to the lead mining boom in the early 1800s. Lead mining attracted Appalachian miners to the area, and they may have influenced local naming practices, bringing along terms common in Appalachia.

For more on the interconnections between geographic names or terms and larger cultural patterns, Watkins suggests reading Names on the Land: A Historical Account of Place-Naming in the United States, by George Stewart (2008). Another excellent source is Wisdom Sits in Places: Landscape and Language among the Western Apache, by Keith Basso (1996).

Sociologist Sudhir Venkatesh, at Wired, summarizes an interesting finding from his research on a non-random sample of prostitution in New York City. The solicitation of prostitutes, he explains, has increasingly entered cyberspace. Prostitutes are now significantly more likely to be solicited on the internet than they are to be picked up in person or referred by a mutual acquaintance. Facebook, in particular, is now a primary way that Johns find prostitutes.

If solicitation is shifting, with more and more Johns finding prostitutes online, then sex workers don’t have to be physically find-able. And if sex workers don’t have to be anywhere in particular, then we might expect sex work to spread out throughout the city. This is, indeed, what Venkatesh finds. The side-by-side maps of New York City below show that, between 1991 and 2010, there are fewer highly-concentrated areas of prostitution (in red) and more moderately-concentrated that spread out further across the city.

So here we have an excellent example of how technology is changing work, leisure, and crime in interesting ways.

Via Cyborgology.

UPDATE: A reader sent in a Salon articlestrongly criticizing the conclusions outlined above, so take this post with a grain of salt.

Lisa Wade is a professor at Occidental College and the co-author of Gender: Ideas, Interactions, Institutions. Find her on TwitterFacebook, and Instagram.

The website If It Was My Home (and yes, they know about the grammar error) allows you to get a better grasp on the size of the area affected by the BP oil leak.  They use National Oceanic and Atmospheric Administration’s daily updates on where the oil will reach in the next 24 hours and allow you to use Google Maps to position it anywhere you want. It’s easier for me, at least, to get an idea of the dimensions of the area we’re talking about when I can imagine it on an area I’m familiar with than seeing it on a map of the ocean.

Here’s the oil leak area centered over Las Vegas, where I live:

The darker the shade of gray, the denser the oil. Here is the current NOAA surface oil projection for the next 24 hours; red indicates places oil may hit shores:

Today’s 72-hour projection, which shows the range extending qute a bit to the west, and more affected shoreline:

Thanks to Kate W. for the link!

Related posts: using the oil spill to advertise cheap flights, should we clean up oil-soaked wildlife?, the Gulf oil industry, BP buys Google search terms, BP gives Florida money for advertising tourism, protesting BP, and the power of images of environmental disasters.

DragonRidingSorceress sent us a link to an interesting map, based on OkCupid data:


Hunting down the data source led me to another map. This one asked if burning the national flag should be illegal:


I suppose neither pattern will seem hugely surprising to most people given what we know about political affiliations, social attitudes, and geography in the U.S. And you could certainly criticize the first question for forcing people into a dichotomy that might not accurately represent their actual views (that is, probably most people would respond “neither” if given that option). But scholars argue that “forced choice” questions can give useful info about priorities and preferences — after all, even if you’d choose “neither” or “I value these rights equally” if given those options, choosing one or the other when forced does say something about which right seems more relevant if you have to hypothetically choose.

The US Census Bureau put together the map below.  It shows what percentage of households in any given county include a married couple.  In the counties colored with the darkest turquoise, between 59.6 and 79.6% of households consist of a married couple.  In the counties colored white, less than 51.6 do.

I think it’s interesting to speculate as to how the reasons why there are more or less married couple households might vary by place. For example, some places may have disproportionate numbers of gay and lesbian residents who cannot, legally, get married. Others may have higher rates of poverty, which has been shown to decrease relationship stability, leading to less marriage and more divorce.  Still others may have normative or religious pressures in favor of marriage (Utah strongly stands out as the most marriage-prone state).  The racial/ethnic make-up of counties may contribute to marriage rates; we know, for instance, that black women marry at a lesser rate than white women for a whole host of reasons.  Racial/ethnic homogeneity may play a factor too, since interracial marriage is still uncommon and asymmetrical when it does occur.  Some counties have more disproportionate ratios of males and females, which may also shape marriage rates. What do you think?  More hypotheses?  Arguments one way or another?

Lisa Wade is a professor at Occidental College and the co-author of Gender: Ideas, Interactions, Institutions. Find her on TwitterFacebook, and Instagram.

Missives from Marx sent in a link to this animated time line documenting the diffusion of various political-economic systems (e.g., fascism, democracy, and feudalism) over world history.  It can be read as a story about the triumph of democracy, but it’s also illustrates how political-economic systems are not natural, but invented during particular historical eras, and diffuse or disappear as a consequence of war, geography, and other geopolitical factors.

Lisa Wade is a professor at Occidental College and the co-author of Gender: Ideas, Interactions, Institutions. Find her on TwitterFacebook, and Instagram.

You might have noticed that there are poor, rich, and middle class neighborhoods in just about every town.  Sociologists call this residential segregation.  Residential segregation is a problem, in part, because it can create a situation in which some neighborhoods have more social and other services than others.  Sociologists have found, for example, that richer neighborhoods tend to have more grocery stores, better sidewalks, and more fire protection.

So, when Jessica Sherwood, of Sociologists for Women in Society, sent us a map showing the density of playgrounds in New York City, I immediately thought to correlate it with average income.

Playground map (darker pink = more playgrounds):


Map of median household income (yellow = more income, blue = less):


UPDATE:  Awesomely, Reader Mark Root-Wiley overlaid the two maps and sent it along!  Here it is:


It looks to me that playground density is highest in the poorest neighborhoods.  A very unusual finding!

So, what factors do you think might account for the disproportionate number of playgrounds in low income areas?  Speculate away!

Lisa Wade is a professor at Occidental College and the co-author of Gender: Ideas, Interactions, Institutions. Find her on TwitterFacebook, and Instagram.