A/B testing is great, but your data is severely limited. How do you know that sticking with the vision doesn't pay off in the long run? Unless you've been runni

A/B testing is great, but your data is severely limited. How do you know that sticking with the vision doesn't pay off in the long run? Unless you've been running A/B tests for years with doppleganger-Patrick who eschews the cold, mechanical methods of A/B testing, writes blog posts about how important gut-feeling is in web design, and made every page of BCC have yellow text on a green background because dammit he likes John Deere, how could you know that you're better off now? We know a lot less than we think we do, and running some limited tests doesn't change the fact that most of the time we're just guessing.