Others have disputed me. So I've been out to gather data.
Many authors don't like to talk about sales figures just as many don't like to talk about money. That's a position I respect and understand. I don't share it.
The scatter-plot below is 'number of Goodreads ratings' along the bottom and 'sales in English' along the side.
Black circles are anonymous data from 2011+
Black squares anonymous data from before 2011
They are all for fantasy books.
The ratings to sales ratio is pretty stable. If you multiple the number of Goodreads ratings by 7.7 you come pretty close to the number of books sold in English (all formats).
About half of the authors I invited to supply their data decided not to, including all the ones who sell more than I do (Though Peter V Brett has threatened to send me some data points when he returns from his world tour). So this graph may change for the higher numbers. Perhaps if a book breaks out of the genre sales bin it finds a demographic less (or more) likely to rate on Goodreads.
One noticeable outlier (blue diamond in the lower section) has the possible explanation (suggested by the author) that it sold a lot of very cheap e-copies that may be sitting on Kindles waiting to be read. Books on special offer are sometimes snapped up and saved for later. Also, most of his sales were in the UK. Perhaps the British use Goodreads less.
So there you have it. Some evidence that when the book is traditionally published and has a decent number of ratings (say several hundred to make the effects of any manipulation insignificant) you appear to be able to guestimate sales pretty well!
This will of course vary from genre to genre: with the likelihood of the demographic to rate on Goodreads). And with time: books published before Goodreads, or when Goodreads was smaller, will be under-represented by ratings.
Although the ratio will change with genre and age it seems very likely that if you take two books from the same genre and the same period that if one has twice as many ratings as the other it will also have twice as many sales and that that prediction will be pretty accurate.
The annotated points in easier to read form.
(click for details)