For those who don't know, when it comes to probability theory and data science, data follows an expected distribution pattern. This normal distribution follows a pattern known as the 68-95-99.7 rule, also called the "empirical rule." If one were to plot the distribution of votes over time on a graph to form a bell curve, one can calculate the "mean" and establish where deviations from this mean should be. These votes, when treated like data, will follow a predictable distribution pattern on this graph. Whenever data falls within three deviations from this mean, it is a normal distribution pattern. When it falls outside of these deviations, the data indicates that an "outlier" exists. In this case, the sudden burst of votes in the early hours of the morning - 100% marked for Biden - is a clear anomaly.

The math here doesn't lie. This data anomaly alone is enough of a reason to call into question how both Michigan and Wisconsin are handling this election.

Based on the data (and IF there is no plausible explanation for this obvious data anomaly), it is reasonable to believe that the officials in charge of the election in those states are mishandling the situation and partaking in what amounts to clear voter fraud. If this were not the case, the data wouldn't be showing textbook violations of the empirical rule.

Intellectually honest people can clearly see what is going on here. Delusional people hindered by cognitive dissonance, dishonest people, and idiots will ignore this issue. I would like to see the "voodoo math" and excuses that the media will use to claim that this is somehow normal.