[kem]

I've published in mathematical/statistical areas as well as applied ones, and my sense is that interpersonal difficulties are more acute, but also more transparent, in math and statistics, for lack of a better way of putting it. My sense is that people tend to hold views more absolutely, because they see their positions as more logic-based, and so have a more difficult time recognizing unrealistic assumptions they're making, or outright errors in their derivations or thinking. An applied researcher can shrug and dismiss something as sampling error, or ambiguity in a study design, but in math, it's harder to invoke such excuses or pressure relief valves. A threat, of whatever real or misperceived magnitude, seems to take on greater significance in math and statistics.