11-14-2020, 01:39 PM
Quote:November 12, 2020
When computers cheat, they inevitably leave evidence behind
By Andrea Widburg
You should learn three main things from this post: (1) the Supreme Court can consider statistical evidence of fraud and can order a new election. (2) Most of the computers used for voting in America have a built-in mechanism that allows votes to be weighted in favor of a candidate. (3) If someone does tell a computer to mess with the election outcome, the computer's processes will inevitably create unnatural data trails that prove human intervention in vote counts — and that's what happened in three Michigan counties.
The Supreme Court
Alexander Macris found Donohue v. Board of Elections of State of New York, 435 F.Supp. 957 (E.D.N.Y. 1976), a case with close parallels to 2020's election. After President Ford lost in 1976, Republican voters sued New York, alleging that systematic fraud deprived them of their voting rights. The district court allowed the suit and stated the following legal test: (1) plaintiffs had to prove specific acts of misconduct that (2) involved "willful or knowing" ballot fraud (3) by state officials or private persons acting jointly with state officials that (4) changed the outcome of the election.
The court held that the plaintiffs could introduce expert opinions and statistical analyses showing that voting patterns markedly deviated from the predictable uniformity to be found in random samples from elections counts that were honest. If the plaintiffs, won, said the court, they could get an order requiring a new presidential election. Any other outcome would fail to protect election integrity (especially in presidential elections) that is "essential to a free and democratic society."
Donohue plaintiffs were unable to meet the legal test because they did not introduce sufficient evidence showing that fraud changed the outcome. However, there's an unending flow of evidence in this year's election, both witness testimony and data evidence, showing fraud sufficient to change the election's outcome in the contested states.
Vote-counting machine irregularities
Some of the statistical data Trump needs can be found in the video at the bottom of this post. In it, Shiva Ayyadurai, Ph.D., a multi-credentialed MIT grad whom leftists despise, works with Bennie Smith, a software engineer, election commissioner, and data analyst, and Phil Evans, an inventor, engineer, and data analyst, to show massive voting machine fraud in three Michigan counties.
Ayyadurai leads with some fundamentals.
First, most vote tabulation using computers is fraught with ambiguity and the potential for error. As we've learned, the ballots going into the system can be fraudulent (dead voters, fake voters, faked ballots, etc.). Democrat-run states increase the potential for fraud with mass mail-in voting, prohibitions against voter ID, and a failure to check signatures.
Second, we don't know what goes on inside the computers. The computers work by taking a snapshot of each ballot and then working off the snapshot. By law, these snapshots must be saved for 22 months, but Democrat-run counties and states tend to delete them immediately.
Third, we don't have evidence tying voters to the ballots fed into the computers, since voters leave empty-handed. Moreover, if voters enter data on the computer screen and then hand a printout to a poll worker, although voters can see accurate words on that printout, they have no idea if the coding that the computer reads is accurate.
Fourth, almost all voting machines (including Dominion's) are intentionally programmed with something called a "weighted race feature." This allows the computer to add a multiplier to a candidate's actual votes. For example, the machine could automatically multiply every Biden vote by some number over one.
In the video, Ayyardurai carefully demonstrates that in Oakland, Macomb, and Kent counties, the machines were set to systematically take votes away from Trump and hand those same votes to Biden. The outlier was Wayne County, a heavily Democrat, minority county. Not only did the machine not steal Trump's votes, but the data also showed that Trump overperformed in this county (although not enough to win in it).
Intriguingly, the more heavily Republican a precinct was, the more votes the machine stole from Trump and gave to Biden, creating a beautifully sloping line on the graph that could never have occurred naturally. If you know how to read them, machines are rotten liars.
It's noteworthy how unambiguous the data are. For just three of the four counties analyzed, the analysis showed that Trump's margin was reduced by a minimum of 138,000 votes. Now imagine if this vote theft occurred in Michigan's other 80 counties.
And keep in mind that Michigan is one of the states that allegedly passed thousands of fraudulent ballots into those voting machines. (See here, here, and here for examples.) When you consider that Biden allegedly "won" by less than 3%, the combination of voting machine manipulation and illegal votes means Trump is right — he probably won Michigan handily:
Quote:November 13, 2020
Big Data to the Rescue: The Electoral College Meets Data Pattern Science
By Jay Valentine
Too many Americans who never had a civics class are learning about the Electoral College, which they are coming to realize may be James Madison’s “Do-Over Button” for times just like these. (If you are under 35, Madison was a president a long time ago.)
The Electoral College is the last chance to stop a presidential election from going off a cliff. Let’s take some examples.
What if the presidential candidate of a leading party were caught taking bribes from an American enemy and that was learned after the vote counting began? What if his son delivered prima facie evidence, and a witness stepped forward weeks before the election and the media suppressed it so the voters never heard a word? What if a candidate were in early stage dementia and his party and the media hid it?
What if millions of American voices were suppressed utilizing social media, so only the voices of one party were allowed to speak?
Oh my gosh! How could such things happen?
The Electoral College has a “do-over button.” States fail to certify the vote, and Congress decides. Remember, Congress is the house of the people -- Nancy Pelosi notwithstanding.
Madison and his pals actually thought that through over two hundred years ago, no kidding.
It applies only to the presidential vote, not to senators or representatives. The Founders knew how important it was to get the executive thing right.
So just how do we make a case to the Electoral College that massive voter fraud, on an industrial scale, thwarted the will of the American people?
Remember, the Electoral College at this point means six Republican legislatures in swing states!
Well, there are ways that will not work. One of them is the long, slow slog through interminable, dusty election precincts, counting one vote here, a dead guy who voted over there, three ballots where the local team filled out the missing fields. That is the loser road.
James Madison, meet Big Data. Actually, meet statistical data pattern analysis and together, grasp hands and speak to America.
Fraud at an industrial level is not a new thing. It happens every day.
I recall when our fraud team met with the CEO of one of the world’s largest insurance companies. You know them. In our presentation, with his fraud team present, we showed the record of a doctor to whom they paid over a hundred grand a year, for almost a decade, for insurance medical bills.
Their fraud inspectors sat confidently at the long table. They said “…yeah, we know him, he’s clean.”
In our next slide, we showed that the address where they were sending checks was a federal prison where he had been incarcerated for years.
Ouch!
Our team built the fraud engine for the largest online auction house. You may have used it. We uncovered industrial fraud at most of the top 10 property and casualty insurers. We did this with big data analysis.
What’s that, you say? Well, take a look at Andrea Widburg’s story.
The video explaining big data is a little complicated. Watch it a couple of times. It is college level statistics, so you will get it, I promise.
Here’s the summary: For the election returns in many precincts to happen the way they did, Biden would have to flip a coin 1,000 times and get heads every time. We aren’t done here.
He would also have to do it over and over again, in scores, perhaps hundreds of precincts.
Welcome to big data analysis.
Industrial fraud is always discovered with statistical analysis like Andrea’s subjects do quite well in this video. Industrial fraud is pretty cool because from the outside, it is invisible. Remember the doctor getting paid in prison, above.
When subject to statistical analysis against known patterns, industrial fraud stands out like a dinosaur walking through a field of peanut butter. It is unmistakable.
Is such analysis proof?
Yes, it is proof that there is an anomaly of such proportions that it must be investigated. And this isn’t hard. Remember, all the data you need to do the analysis is after-the-fact voting data. You do not need to see a single ballot.
Like Andrea’s subjects, you just need to know that in precinct after precinct, there is an unmistakable pattern that the more people vote for Trump over Biden the greater the number of Trump votes the counting machines scoop from Trump to Biden.
The pattern is one that can only be done by machines, like a computer. There are too many transactions, with too straight a line, across too many precincts, to be the guys with the ballot boxes arriving in the middle of the night. They are extra fraud.
What’s next?
Industrial fraud must then be summarized in a picture or two that anyone, even a state legislator, can understand. No matter its strength, it will not be understood by Fox News. In the video noted above, the authors get pretty close.
Using big data, measuring against historical trends, enables many of the math geeks who inhabit the internet to find these frauds. Andrea’s boys did a good job but there will be many more. They will all find the same thing – industrial-scale voter fraud.
This isn’t going away and there is much more to find.
The magic is to craft the picture so that anyone but Fox News can understand it.
That forces our state legislators in the six battleground states to hit Madison’s “do-over button” and let Congress decide.
There may not be enough time to crawl through every vote by hand, but big data analysis will find that dinosaur in the peanut butter, show it to the most recalcitrant state senator and reveal this election to be the fraud it clearly is.