Originally posted by SABR Matt
Here we go, somebody possibly more istigatory than myself.
It's okay, feign objectivity in your research, as you were taught to do in school. You are always taught to let the research lead you. Eventually, those of us who hold viewpoints inconsistent with dominant values and ideology realize, that such an adage is just like almost everything else you are taught in school- a lie intended to preserve the status quo.
I tutor students in writing and one of the first thing I tell them is that what is called objectivity in research is a means of protecting hegemony. It is always easy to find copious amounts of research to substantiate accepted ideological premises. Finding evidence for contrasting viewpoints requires more diligence and savy.
Most of those who produce research have agendas; I'm willing to admit that I do,when I write. Why should we view our quest for research objectively, why introduce it the end of the chain? If you don't have a viewpoint, why bother writing. Numbers are merely tools and tools don't build anything on their own. Interpretation is the important part, how do you interpret X and how good are you at convincing others that your interpretation is the most accurate one out there? That's what writing is about!
This is actually what I admire about sabermetrics. It takes courage to claim that strikeouts are not really more detrimental than other outs. In order to present evidence as such, sabermetricians must dig deeper, look harder and not be deterred by the rampant discourse that says otherwise.
But once we get into math, the game becomes two dimensional. I don't fully agree with the argument about strikeouts, I've discussed this several times here. From a mathematical model, the qualifications to the afforementioned conclusion don't really exist.
Hard outs are better predictors than soft, seeing-eye singles. How does sabermetrics quantify that?
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