Stat geeks use data to support their claims. Non stat geeks use anecdotal evidence or personal observations to support their claims.
Both side believe they are right and have evidence to support their positions. Both sides come across as righteous and maybe some as know-it-alls. Both sides are trying to "educate" the other side, and it "hits home" when someone criticizes whatever side you are on.
Here's an example: someone claims, "JBJ is in an awful slump." I reply, "he has an .830 OPS over the last week and is at .800 over the last month." Yes, in my mind, I'm thinking, "That's an end to this debate," and maybe I'm wrong for thinking that way. Maybe the guy has 10 cheap hits and has K'd 40% of the time. I can see how someone would think I'm being a smug stat geek, but I don't see it that way. We can flip the script to the other side and find an equal examples of smugness from those who disavow stats or don't use them as much. They've "played the game" or "coached the game." Some appear to assume every stat geek never played the game or understand any nuances of the game or what goes on in a player's head or in the dugout of clubhouse. Maybe, the assumption is all stat geeks were nerds who never played sports. Who knows.
It bugs me. It bugs you. I'm not sure either of us mean to bug the others, but it clearly happens. (Okay, some hear seem to intentionally bug others.)
I don't think either side is worse than the others, and I recognize both sides doing the same thing, and I'm guilty myself, at times.