Project Veritas confirms the manipulation of YouTube’s trending algorithms

One James confirms the suspicion of another James.

James O’Keefe III and his team at Project Veritas has verified what many other rational thinkers, including James Damore, have long theorized about big tech companies. Companies such as Alphabet (YouTube, Google) and Facebook have had their internal offices infiltrated with postmodernist zealots.

Saul Alinsky tactics have taken over. Fresh out of the Marxist training grounds that are humanities courses at university, the zealots are doing whatever it takes to control the channels of persuasion and acquire power in the corporate arena.

[4:10]: Let’s say something ends up on the YouTube front page, New York Times freaks out about it but they don’t know it’s just because my friends curate the front page.

Nick Dudich Audience Strategy Editor
New York Times

At minimum, there is a group of people at Google manipulating what the public sees to spread their ideology and suppress any opposition to it. It validates the observations of former Google employee James Damore:


The irony of posting this article is that by trying to inform you and other readers of this news, I am likely driving down my search traffic from Google. The manipulated algorithms are likely ready to put articles like this one on a search blacklist, thereby reducing the chance of the truth spreading. Undoubtedly, they’ll substitute the search results with opposing content from “mainstream” channels filled with neo-Marxist misinformation.

If you’ve ever wondered why you keep seeing “mainstream”, non-independent content like Late Night with Jimmy Kimmel, John Oliver, Stephen Colbert, or CNN in your video recommendation feeds, now you know. You might have momentarily escaped the indoctrination by cutting cable, but now they’re back on the Internet ready to brainwash you again by flooding your front page and trending lists.

Please help spread the word naturally and share this article (not just through social media because of their biased trending algorithms, but through e-mail and word of mouth).

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