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by smogcutter
3119 days ago
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Garbage in, garbage out. If your data set comes from scraping wikipedia, you're going to have these kinds of flaws and omissions. What's the alternative though, other than to hire an army of grad students? If flawed, at least it's interesting. I wish the author had gone into more detail about counterintuitive results (like Rommel), but part of the point of an exercise like this is to find instances where the model disagrees with common wisdom. If you jump straight to rejecting the model without asking why, you don't learn anything. Some other thoughts: - Analysis is limited to results of individual battles. That's a very narrow slice of a general's actual job. - He ties WAR to overall W/L, which isn't great but the data doesn't give you many options. - The model rewards "underdog" wins. This sounds like a decent proxy for skill, but it seems like a big part of the job is avoiding being an underdog in the first place. - Army size and casualty figures for anything pre-17th century (and that's generous) are extremely suspect. |
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I wouldn't trust this model to compare Montgomery to Patton during the Sicily invasion, let alone compare Caesar to Napoleon.