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When we study Marx in my graduate social theory course, it never fails that at least one student will say (approximately), "Class struggle didn't escalate in the way Marx expected. In modern capitalist societies class struggle has disappeared. So isn't it clear that Marx was wrong and his ideas are of little value today?" I respond by challenging the premise that class struggle has disappeared. On the contrary, I say that class struggle is going on all the time in every major institution of society. One just has to learn how to recognize it. One needn't embrace the labor theory of value to understand that employers try to increase profits by keeping wages down and getting as much work as possible out of their employees. As the saying goes, every successful capitalist knows what a Marxist knows; they just apply the knowledge differently. Workers' desire for better pay and benefits, safe working conditions, and control over their own time puts them at odds with employers. Class struggle in this sense hasn't gone away. In fact, it's inherent in the relationship between capitalist employer and employee. What varies is how aggressively and overtly each side fights for its interests.

One of the most fascinating things to come out of the current We Are 99%/Occupy Wall Street protests is the We Are 99% Tumblr.  At the site, people hold up signs that explain their current circumstances, and it tells the story of a whole range of Americans struggling in the Lesser Depression.  It is highly recommended. DATA The site features pictures of individuals holding their signs, and occasionally the tumblr reproduces the text of the signs themselves underneath the image as html text.  Sometimes the text under the image is blank, sometimes it is a different message, but often it is the sign itself. In order to get a slightly better empirical handle on this important tumblr, I created a script designed to read all of the pages and parse out the html text on the site.  It doesn't read the images (can anyone in the audience automate calls to an OCR?), just the html text.  After collecting all the text on all the pages, the code then goes through it to try to find interesting points. It's a fun exercise, pointing out things I wouldn't have seen otherwise.  For instance, I found this adorable little rascal, pictured below, mucking up the algorithm, as the first version of the code assumed all the ages would have two digits.  I found that he, and the sign his mom made for him as a confessional to her son, hit me a ton harder than any of the more direct signs of despair in this economy: