Joe Biden’s Votes Violate Benford’s Law (Mathematics)

As the vote counting for the 2020 Presidential Election continues, various facts suggest rampant frauds in Joe Biden’s votes. So does mathematics in terms of the votes from precincts.

Benford’s law or the first-digit law, is used to check if a set of numbers are naturally occurring or manually fabricated. It has been applied to detect the voting frauds in Iranian 2009 election and various other applications including forensic investigations.

“Benford’s law, or the first-digit law, is an observation about the frequency distribution of leading digits in many real-life sets of numerical data. The law states that in many naturally occurring collections of numbers, the leading digit is likely to be small.

For example, in sets that obey the law, the number 1 appears as the leading significant digit about 30% of the time, while 9 appears as the leading significant digit less than 5% of the time. If the digits were distributed uniformly, they would each occur about 11.1% of the time. Benford’s law also makes predictions about the distribution of second digits, third digits, digit combinations, and so on.”

One of the examples is the population of the world, which are naturally occurring numbers.

Distribution of first-digit (in %) of population numbers in 237 countries in 2010. Source: wikipedia.org A number of people on the internet have checked the votes (precinct by precinct) of Joe Biden, Donald Trump as well as other candidates for their legitimacy in terms of the Benford’s Law.

According a Reddit user, r/dataisbeautiful’s calculation, the ‘normal’ distribution of first digits for the different candidates based on Benford’s law is illustrated below.

Source of image: https://bit.ly/3l7mUE5 Youtuber Nyar has shared the observations on a number of counties, concluding that Trump and others’ votes have natural distribution but not for Joe Biden’s.

In Fulton County, Georgia, which overlaps with the Atlantic metropolitan where Joe Biden is expected to win, all of the three candidates have normal distributions for their votes. (Joe Biden 72.6%, Donald Trump 26.2%, Jo Jorgensen 1.2%. Source: .theguardian.com)

Image from github.com/ (https://bit.ly/2GGTXjq) In Miami-Dade County of Florida, which includes the Miami metropolitan where Joe Biden is expected to win, all candidates’ votes obey Benford’s Law. (Joe Biden 53.4%, Donald Trump 46.1%, Jo Jorgensen 0.3%. Source: theguardian.com)

Image from github.com/ (https://bit.ly/2GGTXjq) However, in the Milwaukee County of Wisconsin, which is in one of the key swing states, Joe Biden’s votes violate Benford’s Law while other candidates’ don’t. (Joe Biden 69.4%, Donald Trump 29.4%, Jo Jorgensen 0.9%. Source: theguardian.com)

Image from github.com/ (https://bit.ly/2GGTXjq) And in Chicago of Illinois, Joe Biden’s votes are abnormal.

Image from github.com/ (https://bit.ly/2GGTXjq) So does that of Allegheny of Pennsylvania which includes Pittsburg. (Joe Biden 59.0%, Donald Trump 39.9%, Jo Jorgensen 1.2%. Source: theguardian.com)

It looks like maybe Biden had lost big cities like Chicago and Pittsburgh, which is why the fraudulent votes need to be brought in, which skew his curve away from a normal looking one.

For those who are interested to reproduce the analysis, you can follow the instructions here and give it a go.

Benford’s law works for sets of numbers that grow naturally by exponential rates. For example you had 500 dollars and it was in an account earning 25 percent growth every year , your account would have this amount of money each year

500
625
781
977
1221
1526
1907
2384
2980
3725
4657
5821
7276
9095
11369
14211
17764
22204
27756
34694
43368
54210
67763
84703
105879
132349
165436
206795
258494
323117
403897
504871
631089

Notice the numeral “1” appears most of the the time as the leading number, in this case 27 percent , the other numbers as 2-9 show up less as the first digit. This because our number system base 10. If we were to use the most simple number base 2 , with just ones and zeroes, the data would not favor either case , but base 10, favors the first number for when data grows exponentially...

Another example take 120 and if it grows by 25 percent, it takes many iterations before it gets above 200, compare to at 900 with a 25 percent growth , the first iteration the new number is not going to be a 9 anymore , therefore very few 9s and lots of 1s will show up in data that has a compounding growth factor.

Population counts follow Benford’s law, because they grow exponentially , the amount of forestation or any thing that can be measured with a growth rate, using a base 10 number system to record , the numeral 1 will appear more often in the data set.

So what does this have to do with votes ? Votes, are a measure of popularity , like top songs or ideas ,, a few people like , then they tell others, and they tell others , so popularity grows exponentially, and might be that a collected data sets of votes from a region of population ,it seems plausible to follow Benford, but experts say the law might not be reliable always to detect fraud in elections..Benford’s law does not work on all data sets ..

However ... note the 6 key is in the middle of the keyboard , easy to quickly make up and type in.... fits the pattern of accounting fraud according to benfords law, so why are most of the Biden’s counts coming up numerals 4 5 and 6. While a natural distribution we should see more 1s and 2s than 4s 5s or 6s, like Trumps counts show?

Check out this guys analysis of several places where Trump numbers adheres to Benford , Biden does not ..

https://github.com/cjph8914/2020_benfords

Very odd indeed, but don’t expect low information voters will be able to follow the logic

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