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:
- 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?
- ha is less frequent than haha but slightly more frequent than hahaha.
- 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.