Every conversation liberals had with their friends and coworkers, all the polls they saw, and every news report they read prior to Election Day suggested that Trump would lose in 2016. But they hadn’t reckoned with Trump’s ability to circumvent the traditional channels and appeal directly to voters via social media.
"I think that Trump was a direct result of" the "bottom-up social-media system," former Google employee Zach Vorhies told a reporter. "I think it caught the network of global corporate control off-guard."
When Google, whose unofficial motto for many years was "Don’t be evil," held an "all-hands" meeting the week after the election to bemoan the outcome and discuss how to prevent a recurrence of it, Vor-hies, a self-identified liberal, immediately recognized the danger and began poking around internal company files to discover just how Google planned to stop Trump.
He first found that the company was already in the process of using machine learning, a type of artificial intelligence, to identify and suppress so-called fake news, which just happened to be news that was either helpful to Trump or harmful to Democrats.
"Once I saw that they were using machine learning to remove the fake news, I was like, ‘Huh, that kind of seems un-Googly. What is going on here?’" he recalled. "And so I started to dig in."
Zach Vorhies big tech wicked ideas Google
Zach attack: Big Tech is trying to create a "technocracy" with "wicked ideas," said Google whistleblower Zach Vorhies. "We’ve got to give humanity one last fighting chance to stop this thing."
He eventually uncovered "a real censorship engine" called "Machine Learning Fairness" (MLF), which he described as "the fusion of artificial intelligence and Critical Race Theory." Instead of simply aggregating data from the Internet, MLF would alter it to fit the "woke" view of how the world should be, such as by changing the results of an image search to present fewer white or male humans.
Google has a variety of other ways to surreptitiously affect people’s perceptions. One of them is its PageRank score, which determines how high in the list a particular Web page will be displayed when it occurs among the results of a user’s search. Google keeps its PageRank algorithm practically under lock and key, but according to Vorhies, among the factors it considers are the mainstream media’s and Wikipedia’s opinions of the page. Given the leftward bias of both of those sources, it’s hardly surprising that pages parroting the liberal line tend to appear at the top of the list.
Google’s autocomplete prediction searches, the terms its search engine suggests when a user begins typing in a query, also nudge people in the direction the company wants them to go. For example, as of this writing, typing "women can" in a Google search box yields suggestions such as "women can be drafted" and "women can do anything." Searching for "men can," on the other hand, returns such potential queries as "men can get pregnant," "men can lactate," and "men can have periods."
Vorhies got so fed up with what he called "the most evil company on the face and history of the planet" that he became a Project Veritas undercover reporter, gathering documents and hidden-camera recordings to prove what Google was up to, and ultimately left the company in 2019. Then he co-wrote a book, Google Leaks: A Whistleblower’s Exposé of Big Tech Censorship, that was published this summer.
Read | Post Comments
