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Project Veritas: Google Insider Exposes Plans To Prevent “Trump situation” in 2020 – Execs Confirm On Hidden Cam

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Published on: June 24, 2019

After Project Veritas had insiders at Facebook and Pinterest coming out and blowing the whistle on not just their site’s bias, but political agenda, which could amount to election manipulation, it encouraged a whistleblower from Google going on camera with James O’Keefe to out the CIA-funded company in their efforts to also stifle free speech among those they disagree with and influence the elections to prevent “Trump situation” in 2020.  Additionally, a Google executive was also caught in undercover video confirming exactly what the insider told Project Veritas.

According to the insider, Google “is bent on never letting somebody like Donald Trump come to power again.”

This was demonstrated in several points made in the video.

  • Google Exec Says Don’t Break Us Up: “smaller companies don’t have the resources” to “prevent next Trump situation”
  • Google Head of Responsible Innovation Says Elizabeth Warren “misguided” on “breaking up Google”
  • Insider Says PragerU And Dave Rubin Content Suppressed, Targeted As “Right-Wing”
  • LEAKED Documents Highlight “Machine Learning Fairness” and Google’s Practices to Make Search Results “fair and equitable”
  • Documents Appear to Show “Editorial” Policies That Determine How Google Publishes News
  • Insider: Google Violates “letter of the law” and “spirit of the law” on Section 230

As always, James O’Keefe doesn’t disappoint with this information.

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The report includes undercover footage of longtime Google employee and Head of Responsible Innovation, Jen Gennai saying:

“Elizabeth Warren is saying we should break up Google. And like, I love her but she’s very misguided, like that will not make it better it will make it worse, because all these smaller companies who don’t have the same resources that we do will be charged with preventing the next Trump situation, it’s like a small company cannot do that.”

Said Project Veritas founder James O’Keefe:

“This is the third tech insider who has bravely stepped forward to expose the secrets of Silicon Valley.  These new documents, supported by undercover video, raise questions of Google’s neutrality and the role they see themselves fulfilling in the 2020 elections.”

Jen Gennai is the head of “Responsible Innovation” for Google, a sector that monitors and evaluates the responsible implementation of Artificial Intelligence (AI) technologies.  In the video, Gennai says Google has been working diligently to “prevent” the results of the 2016 election from repeating in 2020:

“We all got screwed over in 2016, again it wasn’t just us, it was, the people got screwed over, the news media got screwed over, like, everybody got screwed over so we’re rapidly been like, what happened there and how do we prevent it from happening again.”

“We’re also training our algorithms, like, if 2016 happened again, would we have, would the outcome be different?”

The insider told Project Veritas why he came to them.

“The reason why I came to Project Veritas is that you’re the only one I trust to be able to be a real investigative journalis,” he said.  “Investigative journalist is a dead career option, but somehow, you’ve been able to make it work.  And because of that I came to Project Veritas because I knew that this was the only way that this story would be able to get out to the public.”

“I mean, this is a behemoth, this is a Goliath, I am but a David trying to say that the emperor has no clothes,” the insider added.  “And, um, being a small little ant I can be crushed, and I am aware of that. But, this is something that is bigger than me, this is something that needs to be said to the American public.”

The information the insider provided and commented on is staggering.  According to Project Veritas:

According to the insider, Machine Learning Fairness is one of the many tools Google uses to promote a political agenda.  Documents leaked by a Google informant elaborate on Machine Learning Fairness and the “algorithmic unfairness” that AI product intervention aims to solve:

Google ExposedGoogle Exposed

The insider showed Google search examples that show Machine Learning Fairness in action.

Google Machine Learning Fairness

“The reason we launched our A.I. principles is because people were not putting that line in the sand, that they were not saying what’s fair and what’s equitable so we’re like, well we are a big company, we’re going to say it.” – Jen Gennai, Head Of Responsible Innovation, Google

The Google insider explained the impact of artificial intelligence and Machine Learning Fairness:

“They’re going to redefine a reality based on what they think is fair and based upon what they want, and what and is part of their agenda.”

Determining credible news and an editorial agenda. . .

Additional leaked documents detail how Google defines and prioritizes content from different news publishers and how its products feature that content.  One document, called the “Fake News-letter” explains Google’s goal to have a “single point of truth” across their products.

 

Google Exposed

Another document received by Project Veritas explains the “News Ecosystem” which mentions “editorial guidelines” that appear to be determined and administered internally by Google.  These guidelines control how content is distributed and displayed on their site.

Google Exposed

The leaked documents appear to show that Google makes news decisions about what news they promote and distribute on their site.

The question now is, will people the Trump administration remain impotent in dealing with what clearly is a violation of law and an attempt to manipulate US elections because of how it will be perceived, or will they act and enforce the law against these criminals?

Below is the previous week’s interview with Eric Cochran, a former Pinterest Engineer, who outed the companies involvement in much of the same scheme.  Project Veritas now says that “Project Veritas recently learned that Eric’s official employment status is not presently known.”

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