Trump has put pressure on Congress to pass the SAVE America Act, a measure that would require photo identification and proof of U.S. citizenship to vote.
I hope this doesn’t get removed because any time I bring this up I get called an “election denier”. But there is legitimate evidence that both the 2020 and 2024 election was tampered with. This has been determined by statisticians. Not conspiracy theorist. There is statistical evidence. Furthermore. The evidence shows vote manipulation occuring on non-mail-in-vote tabulators only.
The statisticians concluded the reason Trump did not win 2020 was because most votes were mail-in and were not altered like the in-person votes were. Due to covid.
And that the in-person voting tabulator machines showed the same voter manipulation in both 2020 and 2024. Also similar to Russians. And. That the machines were designed to not flag for recounts. Which is why trump won every single swing state with no recount. (Recounts are triggered by a ratio of vote difference exceeding a certain number. (Somewhere around 65% but I can’t recall the exact number atm).
Because Trump has done all this b.s about saying he actually won 2020, any time anyone questions if vote tampering took place, people assume they are agreeing that trump actually won. I’m saying he didn’t win either. He tried to cheat at both but was foiled by mail in voting in 2020 due to covid.
The statisticians said this almost a year ago and said he would target mail in voting because it’s harder to manipulate.
The statisticians are The Election Truth Alliance.
They have many videos on YouTube and Instagram explaining the stats and what they show. But I’ll break it down simple for you even if math isn’t your strongest subject.
Distributions and frequency.
When you have a lot of data , a normal distribution occurs.
For instance if I took all mens height and put it on a frequency chart with the middle being the mean. And the higher up the bar , the more people there were with that height, what happens is a normal distribution. It looks like a symmetrical hill.
This is a law of nature that is almost always true with a few exceptions.
Distributions will not be “normal” when there is not very many data points. For example I measure 10 mens height. I may or may not get a normal symmetrical distribution .
Another way a distribution will be abnormal is if a portion of the data points (people) have been influenced by something specific but the rest have not been.
We call this “systematic influence”.
An example.
I measure 100 mens heights from Canada and Dominican Republic. (100 from each).
Because men in the Dominican Republic are currently having a rough time and growing up with less food and nutrition, they will be shorter.
So if I put all of these men on a frequency distribution graph, the Dominican men would skew the distribution to the left but because most other men are not being affected by childhood famine, what you might see is two distributions. A bi-nomial distribution.
This is a systematic influence that can be determined pretty easily.
If the distribution is just skewed off to the side, something has to have influenced it. It’s unnatural. That’s the important thing to understand.
Something external influenced the data if it’s not normal symmetrical. Especially with a high number of data points (over 100 should easily be normal).
Okay that’s all you need to understand about frequency distributions to understand the election truth Alliance videos.
Also IQ is often displayed as a normal distribution if that helps.
I hope this doesn’t get removed because any time I bring this up I get called an “election denier”. But there is legitimate evidence that both the 2020 and 2024 election was tampered with. This has been determined by statisticians. Not conspiracy theorist. There is statistical evidence. Furthermore. The evidence shows vote manipulation occuring on non-mail-in-vote tabulators only.
The statisticians concluded the reason Trump did not win 2020 was because most votes were mail-in and were not altered like the in-person votes were. Due to covid.
And that the in-person voting tabulator machines showed the same voter manipulation in both 2020 and 2024. Also similar to Russians. And. That the machines were designed to not flag for recounts. Which is why trump won every single swing state with no recount. (Recounts are triggered by a ratio of vote difference exceeding a certain number. (Somewhere around 65% but I can’t recall the exact number atm).
Because Trump has done all this b.s about saying he actually won 2020, any time anyone questions if vote tampering took place, people assume they are agreeing that trump actually won. I’m saying he didn’t win either. He tried to cheat at both but was foiled by mail in voting in 2020 due to covid.
The statisticians said this almost a year ago and said he would target mail in voting because it’s harder to manipulate.
The statisticians are The Election Truth Alliance.
They have many videos on YouTube and Instagram explaining the stats and what they show. But I’ll break it down simple for you even if math isn’t your strongest subject.
Distributions and frequency.
When you have a lot of data , a normal distribution occurs.
For instance if I took all mens height and put it on a frequency chart with the middle being the mean. And the higher up the bar , the more people there were with that height, what happens is a normal distribution. It looks like a symmetrical hill.
This is a law of nature that is almost always true with a few exceptions.
Distributions will not be “normal” when there is not very many data points. For example I measure 10 mens height. I may or may not get a normal symmetrical distribution .
Another way a distribution will be abnormal is if a portion of the data points (people) have been influenced by something specific but the rest have not been. We call this “systematic influence”.
An example.
I measure 100 mens heights from Canada and Dominican Republic. (100 from each).
Because men in the Dominican Republic are currently having a rough time and growing up with less food and nutrition, they will be shorter.
So if I put all of these men on a frequency distribution graph, the Dominican men would skew the distribution to the left but because most other men are not being affected by childhood famine, what you might see is two distributions. A bi-nomial distribution.
This is a systematic influence that can be determined pretty easily.
If the distribution is just skewed off to the side, something has to have influenced it. It’s unnatural. That’s the important thing to understand.
Something external influenced the data if it’s not normal symmetrical. Especially with a high number of data points (over 100 should easily be normal).
Okay that’s all you need to understand about frequency distributions to understand the election truth Alliance videos.
Also IQ is often displayed as a normal distribution if that helps.
https://youtu.be/WOQ-GxJyJN4
https://m.youtube.com/@ElectionTruthAlliance
Also Trump said he cheated multiple times. Literally said musk cheated for him.
He also had the lowest starting approval rate in history.
Too many coincidences.