Well, I didn't really outline a specific approach, I was just trying to suggest that there are techniques you could apply to the data after collection to solve the problem without modifying the fundamental premise of the app. For example if you "weighted the votes of the serial top clickers less" in addition to randomizing the order of the pictures shown, then when all of your serial top clicker votes count as 0.1 instead of 1 then suddenly your 95-82 might move closer to the 15-2 and leave you with something like 25-12 which isn't as clear as 15-2 but is clearly significant.
Instead of showing the user 95-82, or 25-12 you tell the user "others prefered shirt A 2-to-1 or shirt b 66% to 33% or whatever might be appropriate.
Anyway, again, I'n not suggesting any particular techniques are the right ones, just that there (almost certainly) viable techniques available to mitigate the problem.
Instead of showing the user 95-82, or 25-12 you tell the user "others prefered shirt A 2-to-1 or shirt b 66% to 33% or whatever might be appropriate.
Anyway, again, I'n not suggesting any particular techniques are the right ones, just that there (almost certainly) viable techniques available to mitigate the problem.