PN>>19108081 A Shocking Analysis of Election Night Reporting and the Companies that Manufacture Election Results

(This article is too important not to read, long 6-7 portions)

A Shocking Analysis of Election Night Reporting and the Companies that Manufacture Election Results. 1/6

by Guest Contributor Jul. 1, 2023 5:30

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

Post by Erin and David Clements

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. Millions saw the “F-Curves” demonstrating an inexplicable injection of hundreds of thousands of votes in key races across the country. The F-Curve has come to represent rigged elections and corruption.

A trusting public relies on “Election Night Reporting” or “ENR” to find out who won on election night. ButENR 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 that any political or judicial institution was loath to challenge after the fact for fear of media bullying.

Election Night Reporting is another smoking gun that proves our elections are centrally manipulated.

Sources of Election Night Reporting Data

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 andprovides 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.

The Fraud Curve(pic)

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.…

https://www.thegatewaypundit.com/2023/07/shocking-analysis-election-night-reporting-companies-that-manufacture/

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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

Most local election officials take criticism over the 2020 election personally. They vigorously defend the handling of their elections. And most have a good-faith belief in the vendor-provided talking points of how decentralized their election processes are. Evidence of centralized control of election night reporting, however, has shattered those talking points.

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.

We labeled this “The Drop and Roll”:

Multiple analysts have confirmed the above analysis and found them in multiple races in dozens of states. Former systems consultant and MBA, Todd Buffington, is one of these. He found evidence of theF-Curve in at least 20 states.Buffington also confirmed that the Scytl and Edison datasets are identical. (Comparison of Nebraska SCYTL vs Edison Research Data (rumble.com))

Buffington’s analysis of Georgia further highlights the impossibility of the ENR data. (https://rumble.com/v10r7y1-proof-of-election-fraud-using-official-results-data.html) Up until Line 371 in the data, Trump was ahead of Biden. At Line 372 of the data – 5,972 votes were added in a batch weighted 91% for Biden, bringing Biden’s total to exactly match Trump’s total of 2,447,591 votes.

While a batch coming in 9 to 1 for Biden to exactly match Trump’s total is alarming,what is observed next in the ENR data is impossible. Thenext 55 batches of votes added to the tally are split exactly 50/50—such that Trump and Biden’s totals remain equal for the next 55 batches. Even more bizarre, is that in many of these batches, there were an odd number of votes, making it mathematically impossible to split batches equally between the two candidates.

The likelihood of any of this happening randomly is likely zero. Election night reporting has a tenuous tie, if any, to the reality of what is occurring in each election jurisdiction. The only explanation for the phenomena observed is thatvotes are being fractionalized and automated through an algorithm. The algorithm being witnessed throughout the country is known as a proportional-integral-derivative control function, or “PID control.”

PID Control

The discovery that ENR data is little more than perception-shaping theater is demonstrated by the work of Draza Smith. Smith is a control system expert and was a senior cyber engineer at Sandia National Labs focusing on Cyber and Grid Security. Smith’s extensive research into election night reporting and the data produced by the election system has proved that ENR in all 50 states is automated. Smith’s work can be found here discussed in detail here. (https://t.me/ladydraza, https://rumble.com/vkgtqh-draza-smith-election-fraud-on-cruise-control.html)

When Smith looked at the ENR data, rather than looking at the repeating ratios of vote distribution in each batch as discussed in the previous section, she looked at theratio between the cumulative distribution of votesfor each candidate. For the presidential race, that would be the number of Trump votes divided by the number of Biden votes at each timestamp provided in the ENR dataset – or what she calls the “Trump to Biden ratio.”

When she looked at the data this way, she noticed that the resulting curves resembled a function she was very familiar with as a control systems engineer – the function she saw in the ENR data is called aproportional-integral-derivative control function, or PID control.

PID control is a commonly used function in car cruise control systems and home thermostats. It is used to keep a system in a steady state or gradually move it from one state to another. For example, let’s say it’s the middle of winter and is 55 degrees in your house. You turn your thermostat up to 68 degrees. Your furnace will turn on at its highest setting and start to warm up your house. As the temperature approaches the set point of 68 degrees, the system switches to a lower setting until it warms your house to a temperature slightly above the set point, and then it turns off.