Been thinking about "easy mode" games a bit. In some competitive fields there is a period before many have figured out how to play, where people even doing really basic analysis can win big with little effort.
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Most people in 2012 didn't realize that you can forecast elections quite accurately by aggregating lots of small polls together and doing a big Monte Carlo simulation. Pundits and talking heads got much more respect than quant models.
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Replying to @macrocephalopod
this is prob obvious but how would you apply a monte carlo here? simulate the results based on observed regional distributions, then see how often youd see a spurious relationship? sounds awesome
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You know the expected value and sampling variation in each state from the poll results. Add some variables for correlated errors between states and demographics. Simulate the election ten thousand times and look at the results of your simulated elections to get a prediction.
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