Applying an algorithm to voting results can only effectively be done at the tabulation computer level, not the individual voting machine…with computers at Edison Research, not Dominion.

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World Affairs Brief, July 14, 2023 Commentary and Insights on a Troubled World.

Copyright Joel Skousen. Partial quotations with attribution permitted. Cite source as Joel Skousen’s World Affairs Brief (http://www.worldaffairsbrief.com).

FINALLY, A GOOD DATA ANALYSIS ON VOTE FRAUD IN THE 2020 ELECTION

Joe Hoft of the Gateway Pundit produced a fairly comprehensive report by Erin and David Clements on how we know there was massive vote fraud in the 2020 election. They even mention Edison Research which was hacked into in 2020 to expose how many millions of votes were flipped, changed or disappearedfrom Donald Trump’s true tally. As I have long said, the really big manipulation takes place in the tabulation computers which compile results.

US Election reporting is dependent on a few suspicious companies that provide results that are arguably manufactured.

The number of Americans who believe Biden did not legitimately win the 2020 election has grown to 62 percent, with another 6 percent who say they don’t know if he won or not. An enormous mountain of evidence, including whistleblower testimony, expert analysis, or proven machine vulnerabilities has awakened a huge majority of American voters to the realization that our elections are largely rigged.

As independent analysts and auditors improve their understanding of the centralization of election system architecture, the evidence revealed during the initial aftermath of November 3, 2020, is taking on new and vital importance. Case in point, millions of Americans that watched election results witnessed impossible changes to their vote tallies.

A trusting public relies on “Election Night Reporting” or “ENR” to find out who won on election night. But ENR broadcast on election night is not a report of real tallies but a tool to shape perceptions about election results. What was reported on television was perceived as reality and races were called by the media – outcomes that any political or judicial institution was loath to challenge after the fact for fear of media bullying.

There are several places to find ENR data. All secretaries of state (SOSs) report results on their websites and some counties join in reporting efforts. But the real powerhouse in election night reporting comes from a foreign owned, Spain-based company, called Scytl.

Scytl collects all state ENR data and provides it to Edison Research. Edison works in tandem with all the legacy news agencies that televise election results. The vote tracking features you see on the bottom of the screen during an election on Fox and CNN all come from Scytl-Edison. Two corporate entities with no Congressional oversight, one with foreign ownership—have a monopoly on what the public sees on election night.

This self-evident national security threat wasn’t lost on the media during the Trump administration. The Guardian warned of the threat posed by Scytl having total control of ENR, and Dominion Voting Systems possessing a near monopoly on tabulation. Those concerns, however, evaporated after Joe Biden was installed.

Examples of ENR anomalies include one viewer noticing an exact 19,958 vote switch from Trump to Biden that occurred in Pennsylvania, and another observing 351,000 votes disappearing in the vote totals during the recall election of California governor, Gavin Newsom.

But what became the most famous and unexplainable ENR phenomenon were the datasets showing thousands of votes being injected for one candidate, while simultaneously showing a negligible or nonexistent increase for the other candidate. This became known as the “F- Curve” or “Fraud Curve” in election integrity circles because of the shape the curves made in the plot of total votes for each candidate over the election count:

Unsurprisingly, after the F-Curve materialized in the ENR datasets, the losing candidate would leap ahead to victory – typically in the middle of the night. The swing states of Wisconsin, Michigan, Georgia, and Pennsylvania all exhibited an F-Curve after each had stopped counting at around 10 pm on November 3, 2020.

At the TCF Center in Detroit for example, Michigan, surveillance video showed a white van delivering thousands of ballots in the middle of the night, well after the delivery deadline, at the same time an F-Curve showed up in Michigan’s ENR data.

The “F Curve” has since been found in dozens of races in the 2020 and 2022 elections. This includes the January 5th, 2021, runoff-election in Georgia where the fate of two U.S. Senate races were decided. After the runoff-election, Democrats controlled the White House, the House, and the Senate. The following year, candidates like John Fetterman, who campaigned in a hoodie and shorts with glaringly obvious cognitive impairments, defeated a well-known public figure in Pennsylvania. Katie Hobbs, who ducked the debate stage and hid in a bathroom from reporters, was also able to ride the fictitious perception wave provided by ENR to a stolen victory in Arizona.

ENR Exhibits Centralized Manipulation
After the 2020 Election impossible anomalies were identified in multiple states. We found in Georgia and numerous other states that there were patterns in their Edison data that made no sense.

The Clements don’t cover the data derived from the hacked server at Edison Research, but the complete article with graphs shows the end results of those manipulations plus another aspect that I missed:

Plot of the Scytl-Edison Data Showing Removal and Replacement of Entire National “Vote”

In simple terms, after Florida and Texas were called for Trump, it is believed that all the votes in the national Scytl-Edison ENR system were pulled and reset back to zero. It took almost two days to put those same votes back in the system. Prior to 10 pm, when all the swing states decided to “stop counting,” Trump was in the lead. After the Edison Zero and re-insertion of votes that had supposedly already been counted, Biden lept ahead and stayed there until the end of “counting.”

Several experts in election analysis circles believe that Florida and Texas were originally slated to go to Biden, but when Trump received more support than expected, “Plan B” was deployed. This required seven smaller states to: (1) stop counting, (2) recalculate the algorithms, (3) reboot the ENR system, and (4) retabulate the votes in different percentages to give the election to Biden.

The hacked data also showed Trump winning in Virginia. But the Clements numbers explain how an algorithm was being employed to change the final results.

Several states exhibited a clear reset in their ratio control after the Edison Zero. Virginia is one of these:

More evidence that the ENR is controlled by an algorithm was discovered by Jeff O’Donnell in some county-level ENR data that was reported by Scytl-Edison on election night in Chester and Philadelphia Counties in Pennsylvania; Fulton, Macomb, and Bibb Counties in Georgia; and Chatham and Surry Counties in North Carolina.

In these seven counties, the ENR data is more detailed. It shows the total ballots cast and breaks those into in-person and mailed ballots. The videos below graphically depict the numbers of ballots in the in-person and mailed categories performing impossible feats of increasing and decreasing how many were in each category from the evening of November 3rd and for several days following. The data is showing an algorithm that is attempting to solve itself but cannot do it with the original constraints:

All the evidence points to the fact that the ENR data Americans see on election night is not a straight report of a real tally, but rather an algorithm. And that algorithm is set up ahead of time with a pre-determined set point of percentages to each candidate that every state is expected to reach by the end of election night. Support for Trump on November 3, 2020, overwhelmed whatever “Plan A” was, necessitating a complete re-boot of the reporting of election results, which required the swing states to all “stop counting” at 10 pm so their set-points could be changed to give Biden a win.

In summary, applying an algorithm to voting results can only effectively be done at the tabulation computer level, not the individual voting machine. That’s how they did it with computers at Edison Research, not Dominion.

The aforementioned Edison Research – the entity working with Scytl we just discussed as having a complete monopoly on Election Night Reporting. According to their website, “Edison provides the National Election Pool [ABC News, CBS News, CNN, and NBC News] with pre-election polling, early voter exit polling, Election Day exit polling, and tabulation of the national vote across every county in the United States.” (emphasis added)

They go on to explain that Edison handles “election polling for international clients, most recently Venezuela, Iraq, Ukraine and the Republic of Georgia.”

Venezuela and Ukraine are two countries where widespread election fraud is commonly believed to be occurring.