Varför hittar Google rätt?

Ja det är så att den algoritm som ligger bakom sökningar hos Google kallas för PageRank vilket är en typ av Markov chain. Såhär säger Wikipedia:

The PageRank of a webpage as used by Google is defined by a Markov chain. It is the probability to be at page i in the stationary distribution on the following Markov chain on all (known) webpages. If N is the number of known webpages, and a page i has k_i links then it has transition probability (1-q)/k_i + q/N for all pages that are linked to and q/N for all pages that are not linked to. The parameter q is taken to be about 0.15.

Markov models have also been used to analyze web navigation behavior of users. A user's web link transition on a particular website can be modeled using first or second order Markov models and can be used to make predictions regarding future navigation and to personalize the web page for an individual user.