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Most people, when they visit most Facebook pages, are not very interested. They don't find much reason to either like or dislike the page. Given however, that a page can either be liked or disliked, how long will it be before a certain number of likes,  
\[N\]
  is reached?
Suppose that a page has  
\[n\]
  visitors per day. The probability of a person liking the page is  
\[p\]
  and the probability of someone disliking it is  
\[p\]
. Suppose also that these two probabilities are independent. The expect number of likes in a day is  
\[np\]
  and the expected number of dislikes in  
\[nq\]
. The expected number of net likes is  
\[np-nq=n(p-q)\]

The in will be an estimated  
\[\frac{N}{n(p-q)}\]
  days before you get  
\[N\]
  Facebook likes. If  
\[q \gt p\]
  then you probably have more dislikes than likes and your threshold may never be reached.