Earlier quoted context omitted.
Yeah, I know it is cool to throw the word Bayesian around. But it is a lot cooler when it is done by someone who actually knows enough about statistics to be making sense. You clearly don't. Adding your comments about the sloppiness of others makes it just ridiculous. First of all 50/50 "better", "equal" is not a valid Bayesian prior. Here is a simple litmus test to demonstrate that. If you have a valid prior, then y…
So, by throwing big words around and pretending to be an expert I gained a few karma points, fan tas tic. Please don't get so worked up about sloppy posts and "attribute to malice that which is adequately explained by stupidity" :-) The 0.5 prior thing was an irrelevant use of the principle of indifference. What I really had in mind was a situation with the null hypothesis that having early women on board has no effe…
Now what you're now admitting is that your real prior isn't 50/50 or anything close. You're starting from the assumption that it is incredibly unlikely that women can make much of a difference, and therefore you really do require extraordinary evidence before you'll even consider the possibility that hiring women could help. In short your mind is so made up that your actual prior can fairly be described as fact resistant.
But is that a reasonable theory to have? Independent estimates are that women make an estimated 85% of all consumer purchases. If having women at the top of your company helps you figure out how to talk to that group, there is a clear potential connection between success and having women involved.
You don't like where this is leading? Well try something a little less biased on for size. If the vast majority of startups do not have women at a high level, but ability is equally divided between women and men, does that mean that startups with women involved early likely have an advantage getting better people?
I'm seeing lots of reasons to see that it could be plausible that having women involved early is beneficial for your startup. (Not necessarily true, only reasonably plausible.) My advice to you is therefore to not be so fast in setting preconceptions that let you reject data out of hand, sight unseen.