Even if I don't know you I fell pretty confident that is more probable that you are messing up with the login than FB. So the changes of a downtime are lower. The business value it's another topic...

I think is more because who is running A/B testing are not knowledgeable in stats, there are many other pitfalls that people fall into (in my personable experience) much worst than not using Bayesian rule, like sampling

Yea, I really agree with that statement. There seems to be much bigger problems that most people (starting out or moderately advanced) have with A/B testing. I hate when I see articles that talk about getting amazing results in "just 2 days."

there are jobs where men are genetically more suited for but we don't have to hunt bare hands anymore so it's not a big problem nowadays

There may be things that the average man is a bit better at than the average woman and vice versa, but individual variation is much larger than this.

A decent coder is far from the competency profile of an average person of their gender anyway, so that average is not even relevant.

Are there enough diverse people to satisfy companies' diversity index goal?