John Durham indictment and a writer’s analysis

On Septemer 20, Barbara Boyd of the LaRouchePAC, wrote:

“Special Prosecutor John Durham’s second indictment, filed on the eve of the statute of limitations expiring for the crime charged, casts a whole lot of sunlight on Russiagate and the people who concocted it. Turns out—not to our surprise—that these are the very same people up to their ears in “electing” the current senile occupant of White House and his supporting cast of incompetent ‘experts.’

Here is the indictment:.

“As reported in the national news media, Durham indicted Michael Sussmann, a partner at the very political Perkins Coie law firm, for making false statements to the FBI. Marc Elias and his team at Perkins Coie ran the Democrats’ subversion of extant election law concerning mail-in ballots and other fraud measures in the 2020 presidential election. Sussmann and Elias both have left Perkins Coie in recent weeks. Sussmann entered a plea of “not guilty” in his first appearance in the U.S. District Court for the District of Columbia.”

Boyd’s analysis states: 

“All the materials presented to the FBI were authored either by Sussmann or Tech Executive No. 1 and his tasked researchers. Further underscoring the duplicity, the researchers themselves had flagged the story as false before it was presented by Sussmann to the FBI. The FBI, after a wild goose chase, also concluded it was false, largely on the same grounds which the independent researchers found it to be false. 

“As the result of the Clinton campaign’s crimes against Donald Trump; Barack Obama’s desire to cover Clinton’s crimes; the complicity of the FBI, CIA, and British intelligence in Clinton’s crimes; and the perfidies of former Senator John McCain, the Steele dirty dossier was attached as an appendix to the intelligence community’s flaky official assessment concerning Russian interference in the 2016 election. That provided the “news hook” for BuzzFeed to publish the entirety of Steele’s dodgy dossier on January 10, 2017, less than two weeks before Donald Trump’s inauguration as the 45th President of the United States. BuzzFeed obtained the dirty dossier from David Kramer, an emissary of former Senator John McCain. 

“Almost all investigation of the fake Russiagate narrative to date has focused on the Obama Administration’s manipulation of U.S. government intelligence agencies and complementary activities by British and Ukrainian intelligence. However, as investigations of the 2020 elections have shown, private actors, wielding huge amounts of money and influence, have subverted the government, not the other way around.

“The Mark Zuckerberg and George Soros schemes to effectively buy election officials and district attorneys throughout the country in 2020 is a similar example of this modern form of corporativist fascism.”

Boyd writes that a private-public apparatus of salons for major media journalists concocted a series of fake and sensational narratives aimed at creating intense dislike, even hatred, of Donald Trump, while suppressing any information about the actual Trump or the principles he embraced. This campaign was designed to produce the climate for a federal prosecution. 

“Clinton/Elias collaboration created a monstrous image of Donald Trump. ‘Journalist’ salons also included a smattering of government and intelligence agency officials and intelligence agency–connected private foundations. 

“The Reagan Administration Executive Order 12333 created this private-public leviathan in official form by allowing the government to outsource intelligence activities and dirty tricks to private contractors while extending a cloak of government immunity to their activities. At the present time, the number of unaccountable private intelligence operatives acting under EO 12333 and related measures, far exceeds actual paid government employees. 

John Durham has opened the curtain on this corrupt formation. 

Boyd’s full analysis may be viewed at

Published by pureintegrityformichiganelections

Dedicated to restoring election integrity in Michigan.

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