Understanding Cocktail Rating Distribution

Something interesting with my facebook application is that in the past week I have gathered >1000 ratings on the cocktails in my database from 745 unique users of my cocktail making application. This is a fairly small number for data analysis but 3 things stood out:

The most votes were given in the bucket of "10" - people seem to tend to vote on the cocktails they like.

The cocktails that were rated 10 tended to get more votes in general i.e. 3 votes per cocktail and not the average 1.5

When looking just at the users who gave a ten and what % of each voting bucket they made up it became clear that these users were pretty much all or nothing guys relative to the crowd, either they gave a cocktail a 10 or they gave it nothing.

More to come on user voting behaviour over time I am sure and also on the most popular cocktails, cocktail ingredients, favourite cocktails lists and so on... I now have far too much data to work through and that is great!