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Analysing the US Election 2020 Results and Turnout Data (Academic Agent)
Biden under-performed Obama and Hillary in every US state except the four that he needed to win after they stopped the vote count, but I'm sure there's absolutely nothing to see here!
I've expanded on Academic Agent's research to see if I can quantify the sort of probabilities involved in states where voter turnout far exceeded expectations, as appears to have been the case in Minnesota, Wisconsin and Pennsylvania.[1] I'll try to present my findings in plain English below:
If we exclude the three outlier states from this sample of nine states and model the voter turnout as a normal distribution with an adjusted mean of 71.19% and a standard deviation of 5.36%, then the associated probabilities for witnessing voter turnouts as high as 88% and 89% for Wisconsin and Minnesota respectively are given by:
P(X > 88) = 0.0008, where X represents voter turnout percentage. 0.0008 means an 8 out of 10,000 or a 1,250 to 1 chance of a voter turnout exceeding 88% in any given state. The voter turnout for Wisconsin was 87.9%
P(X > 89) = 0.0005. That means a 5 out of 10,000 or a 2,000 to 1 chance of a voter turnout exceeding 89% in any given state. The voter turnout for Minnesota was 89.2%.
For a suitable analogy, imagine randomly selecting a sample of fifty adult males from the population and then carefully measuring and recording their heights. Adult male heights follow a normal/Gaussian distribution with a mean of 5'10 and a standard deviation 4 inches. The sort of turnouts we have witnessed during the 2020 election, particularly in Minnesota and Wisconsin, are the statistical equivalent of managing to select two males from your overall sample of fifty, both of whom happen to be 6'11, give or take a quarter of an inch. It's not impossible of course, but it seems highly unlikely. I mean, when is the last time you saw someone taller than 6'10? It's quite possible, I imagine, to go through your whole life and never encounter anyone as tall as 6'11, but we're expected to believe that in a randomly selected sample of fifty people, finding two separate individuals among them who are both nearly 7 feet tall is a realistic possibility?
Another thing we're expected to believe is that Joe Biden, a man who couldn't fill a phone box with the average number of people who showed up to his campaign rallies, won the presidency with a record number of votes.
I'm not buying any of this and neither should you.
[1] I am assuming AA's data is accurate and not in anyway misleading. For example, I have assumed that the 2016 and 2020 turnout figures have both been calculated as a percentage of registered voters and not eligible voters. After all, those eligible to vote will always be greater in number than those who actually register to vote. Ensuring the denominator variable in the voter turnout calculation for both 2016 and 2020 is the same is vital for the purposes of being able to compare like with like. Obviously, if you were to calculate turnout as a percentage of eligible voters in 2016 and then as a percentage of registered voters in 2020, you would expect to see the misleading appearance of dramatic rises in average turnout. I have heard rumours this unfair comparison may apply to the data on Wisconsin. I'm not sure if this is actually the case or if this applies to the other eight states featured in AA's video.
Video source: https://www.youtube.com/watch?v=-vu-v0QDt70&ab_channel=AcademicAgent
-------------------------------------
US 2020 Election Fraud Series:
Biden Hits STATISTICALLY IMPOSSIBLE Results as Democrats Try to Steal the Election (Vincent James)
https://www.bitchute.com/video/zo4HE9oiMC3p/
Trump Team consultant investigating the biggest attempted US election steal of all time!
https://www.bitchute.com/video/GneAOJWEUtw5/
Category | None |
Sensitivity | Normal - Content that is suitable for ages 16 and over |
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