It turns out, mostly skateboarding, videos, teams, and people named Mike.
To find out, I analyzed over 50 interviews from the wonderful skateboarding blog the chrome ball incident. I did this by scraping the content from the site (with python, of course) and then filtering out some common words (stop words) to get meaningful results. I then used Wordle (which is really, really cool) to make tag clouds of the 150 most frequently used words in all of the interviews.
The total word count was a whopping 229,199 words (for comparison). The first round of filtering was pretty modest - I only removed the 186 most commonly used English words. Here are the results (click the photo to embiggen):
Including a slightly larger list of stop words reveals a bit more character:
Amongst the expletives and common skate-slang ('dude', 'stoked', 'rad', 'spot', etc.), the word 'street' (as in, street skating) is mentioned 3 times as frequently as 'vert' (as in, vert skating) - something we've seen before.
You can see the raw data here and here for each stop word filtering. Play with it please!
Thanks. Very useful for a script I'm writing. Typing skater lingo just gets you the names of the tricks they use etc, but this is perfect. Here's what I'm gonna try and insert from your first list to make my skater character stand out more: dude, stoked, man, crazy, wild, cool, awesome, sick, rad, classic, bummed, gnarly, psyched, insane, mad, hang, hyped.