Statistical Impossibility in the 2020 election, part 2
To believe that Joe Biden actually got 81 million legal votes and/or "won" the 2020 election requires you to have zero grasp of statistical probability.
Earlier this year I wrote a post about how there is no way Biden got 81 million legal votes. I didn’t name it part 1 but effectively it was. If you haven’t seen it yet check it out for context.
For that post I used the well known meme picture below, and it may still be the best one to use. It doesn’t matter if you find 1,000 different “fact checks” on it either. You can NOT explain it away. You can sing and dance and spin and pretend all you want, but the facts listed in that photo alone show the statistical IMPOSSIBILITY that Biden got anywhere near 81 million LEGAL votes.
Biden got hundreds of thousands of fraudulent votes in each of several key metro areas where counting was stopped, republican observers were thrown out, observers were kept too far away to see anything, observers were harassed, there were massive late night ballot drops over 90% for Biden, etc., etc. And yes nationwide there were many millions of illegal votes for Biden.
Today I want to mention a VERY compelling video that looks at some specifics on the late night ballot drops. You can also click on the picture below for the link. At about the 2:30 minute mark, the video points out that just the 4 most statistically unlikely ballot drops made the difference in the 2020 election.
On the graph below, the rightmost/uppermost dashed line represents a 0.5% probability. As you move away from the origin on the graph, probability gets progressively lower. Note how far from that line the 4 ballots drops in question are.
As a setup to the graph above, the video presents some of the now well known total Trump vs. Biden vote totals versus time in various states very early on. Even if you don’t watch the whole video, watch the first few minutes.
Going further, the video lists tables showing how ballot drops followed an identical ratio each time, which is also statistically impossible.
In several previous posts I’ve pointed out how no machine level tampering was required to steal the election. Fraudulent ballots could indeed be enough. The repeating identical ratios do require illegal tampering on the machine side. If you look in the grayed out votes columns, you can see that the values are not whole numbers. Of course it’s impossible to split your vote, so this is also an issue and they do cover it in the video as well. There is much, MUCH, more covered in the video, including the shenanigans in Fulton County GA, so it’s absolutely worth the 16 and a half minutes of your time.
It even includes a democrat operative, outed by Project Veritas, who was later arrested promising to deliver 5,000 votes at a cost of $55,000. That sounds like $5,000 for her, and then $10 for each ballot her team of mules can provide.
The best way to explain the statistical impossibility of Biden winning the 2020 election is a comparison to a craps table. If you believe Biden went to a craps table somewhere in Vegas, and he rolled a 7 ten times in a row……. and then he went to 4 more craps tables and rolled 7s ten times in a row at each of those…..and then he went to 2 more craps tables and rolled 7s twelve times in a row, then you can believe Biden “won” with legal votes. That’s about how likely it is.
Even if you’ve never been to a craps table, get out a pair of dice and start rolling. See if you’re lucky enough to even get five 7s in a row in several hundred tries. Then keep trying and see if you can get ten in a row just once. While technically there is a possibility of various bizarre things happening, many of them are effectively statistically impossible. Biden winning the 2020 election with legal votes is one of them.
The video concludes with a text scroll of more critical context.
That’s not the end of the data either. Please watch the whole video and share this post far and wide.
https://www.thegatewaypundit.com/2023/01/point-call-rinos-idiots-not-seeing-massive-democrat-voter-fraud/