Do you laugh within your tweets? e.g. hahaha!!!  Here we show the number of times these different laugh species appear in tweets as a function of how many ha's they contain.  A few observations:

1. Longer laughs are less frequent, and the frequency decays at a constant rate. We're plotting on logarithmic axes, the black line has a slope of -5 and appears to match the data over at least 5 decades in frequency... Zipf would be proud of the people: Hahaha power law?
2. ha is less frequent than haha but slightly more frequent than hahaha.
3. Only a select few humans are able to make it out beyond 100 letters without a typo.  Congratulations!

Thanks to one of our students, Tyler Gray, for sorting this all out.