Zipfstats

(if you are not familiar with Zipf’s law, you may wish to look at the screenshots first, as they provide a visual context for the following)

Zipfstats is built around Zipf’s law, which states that given some corpus (in this case, a post/page) of natural language, the frequency of any word is inversely proportional to its rank in the frequency table. In a perfect Zipfian distribution, this would mean that the most frequent word in the corpus will occur twice as often as the second most frequent word, three times as often as the third most frequent word and so on. Any given real world corpus, if large enough, will tend to approximate a Zipfian distribution (this also works for cities as ranked by population, though that observation is less useful in this context).

The Zipfstats…