I can see what you mean Rabble. I studied a bit of data analysis recently and the central limit theorem instead uses the law of large numbers for a normal distribution bell curve in a hypothesis test of say an example - voting results. This requires a greater variety and numbers in sample size to avoid errors. The larger the sample size and use of confidence intervals, the more accurate the prediction. For example, in 2016, the polling sizes where just to small for the accuracy of those predictions. So the polling and this poly market could be diverging based on the law of large numbers. Which seems to be what the article discovered. Though, now you got me thinking about the rabbit hole 🕳️ of the data the media is using and their giant megaphone and the influence of changing those votes too🤦‍♀️