> The more complications you introduce into an analysis, the more confounding variables that you attempt to control for, the more you expand researcher degrees of freedom — in other words, decision points by the analyst about how to run the numbers.
> I don’t think it’s quite right to say these decisions are arbitrary. Ideally they’ll reflect a statistician’s judgment, experience and familiarity with the subject matter.
But, according to the sentence immediately following the one I highlighted, it absolutely is quite right to say those decisions are arbitrary!
They are arbitrary inasmuch as they are arbitrated by the statistician's educated judgement and experience. That these decisions are arbitrary does not intrinsically strip away their value. Rather, it subordinates their value to the presumed ability of their arbiter — in this case the statistician, whom we presuppose is well trained and capable.
I feel that in common parlance the word "arbitrary" is undergoing the opposite process of the term "literally". Where one word is losing its meaning by arbitrarily narrowing it down too much, the other is literally losing its meaning by making it too broad. It figuratively grinds my gears.