How about the range of expected electoral votes, without the midpoint estimate?
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Sure, but the same is true of any sporting event - in fact, in sports you have things that happen during the event (injuries) that can profoundly alter outcomes. Yet in probabilistic terms, overall forecasts are still exceptionally good.
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Structurally, elections are like games: they have rules, a set number of players, a winner and loser(s), an ending point with a clear definition of what victory means. Yes, there are many more variables than in, say, a horse race. But in principle, they should be forecastable.
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Not everything can be modeled well, is the point. Ideally, you need a better understanding of mechanisms, ways of dealing with endogeneity, good data (!)... Less reflexivity, frequent events to allow calibration, fewer sources of correlated error, less coupled tipping points...
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