In $1935,$ Harvard linguist George Zipf pointed out that the frequency of the kth most frequent word in a language is roughly proportional to $1/$k$.$ This implies that the second most frequent word in a language has a frequency one$-$half that of the most frequent word, the third most frequent word has a frequency one$-$third that of the most frequent word, and so on$.$ A distribution that follows this rule is said to obey Zipfs Law.Zipfs Law has been observed not only in word distributions, but in other phenomena as well, such as the populations of cities.The frequency of the third most frequent word in the Brown Corpus is that of the most frequent word. The population of the third largest city in the United States is that of the largest city.The frequency of the fifth most frequent word in the Brown Corpus is that of the most frequent word. The population of the fifth largest city in the United States is that of the largest city.