April 25, 2022 - Health Ranger - Mike Adams
10:46
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| - Welcome everyone to this Bright Town Conversations interview | |
| Today we have as a special guest, Zach Voorhees, the Google whistleblower who has many extraordinary things to share with us about what happened at Google, but also how we can be more free for the future of human civilization coexisting with the internet and we can defeat those who are trying to restrict us from accessing information that might set us free. | |
| Zach Voorhees joins us now from Costa Rica. | |
| Where he is located and doing some very important work on many projects that he'll share with us. | |
| Zach, thank you for joining me today. | |
| It's great to have you on. | |
| Thank you. | |
| It's good to be here, Mike. | |
| Well, Zach, I think most of our readers are familiar with you and maybe some of your history, at least the broad strokes of it. | |
| Could you give us a brief background of your work with Google and the circumstances under which you left Google and then what you're doing now? | |
| Yeah. | |
| I started off at Google a decade ago, and I'd been with the company eight and a half years with about a two-year period where I left to create my own company. | |
| And it was actually through the creation of my own company, which was manufacturing overseas to make a product, that I realized, wow, this whole, like, Trade thing's kind of corrupt. | |
| And it looks like the whole thing's like rigged. | |
| And I started to get like an idea that things are rigged. | |
| I eventually ended up back at Google in 2013 and worked for their wholly owned company, YouTube, as a software engineer. | |
| And at YouTube, I was working as a senior software engineer working on the embedded YouTube app that ends up in, you know, Xbox, Nintendo Switch, PlayStation 4 and the televisions. | |
| And so that was the team that I was working on. | |
| And everything was going really great until Trump won the election in 2016. | |
| And then the whole company just went like inverted. | |
| And it was kind of crazy for about three years there before I decided to leave the company, resign because of their filtering and their discrimination. | |
| Let's just call it viewpoint discrimination against conservatives. | |
| Yeah, what happened? | |
| Was it like a switch was flipped when Trump won the election? | |
| Suddenly everything changed? | |
| Yeah, one week. | |
| It was one week before I realized that everything was going to be different. | |
| And what happened was there was a TGIF, which happens on Thursday, and it's an all-hands sort of meeting where the executives of the company come and sort of do fireside chat and let all of us know what's going on with the company. | |
| And what they decided to tell us was, well, it was mind-blowing for me. | |
| I think that a lot of other people within the company that have Trump derangement syndrome thought it was perfectly okay. | |
| But, you know, in this meeting, the CEO of the company, I'm sorry, the chairman of the company, Sergey Brin, who helped found the company, said that he was personally offended at the election of Donald Trump. | |
| The CFO broke down into tears talking about how they were going to lose the election or, you know, recounting the night of and how they're about to lose the election. | |
| And most disturbingly was the comments by the CEO Sundar Pichai, in which he stated that one of the successful things the company had done was filtering fake news. | |
| And I was sitting there watching this from my computer desk because it was being live-streamed, saying, wait a minute, we're filtering fake news? | |
| When did we do that? | |
| I didn't even know that such a program existed. | |
| And so that started a little bit of internal research that I started doing on the company, trying to figure out what they were really up to and what they really meant by filtering fake news. | |
| And I tell you, Mike, that led me down a rabbit hole where I discovered... | |
| A filtering and censoring project that was called Machine Learning Fairness. | |
| And it was so big and so expansive and being secretly rolled out that when I started telling people, some people were shocked. | |
| One of them was actually Eric Weinstein. | |
| And then other people were just in disbelief that this could ever happen. | |
| And so I started... | |
| Taking documents that I was finding online within the company and just saving them as PDFs and storing them offline. | |
| Partially because I just wanted to make sure that I had a reality check, that the things that I was seeing was not something that I was imagining. | |
| I wanted to make sure that I had hard proof so whenever I doubted myself I could go back and see these documents and say, yep, this is really happening. | |
| Yeah, give us some examples, of course, but also help define what does Google mean by fake news? | |
| Yeah, that's a really interesting question. | |
| And the answer to that came from a set of design documents that they had left available to the public, internal to the company. | |
| And so anyone with a full-time role within the company could just do a search and find these documents. | |
| It was almost kind of like a Bradley Manning moment where he was able to find military secrets because it was just all left open on the computer. | |
| It's basically the same sort of conditions within Google. | |
| They just left this stuff open. | |
| So I did a search for fake news, and what I found were these documents defining what fake news was and describing examples of fake news. | |
| One of the things that I found was that The fake news that they were using as examples were actual things that had happened that were arguably true. | |
| So as an example, they listed as fake news the concept that Clinton was running weapons through Benghazi in order to arm ISIS. And when I saw that, I was thinking to myself, oh man, maybe this, you know, I remember hearing something about this. | |
| Maybe I should become an expert and figure out whether something like this could, you know, really have taken place. | |
| And what I found surprised me. | |
| I was like, wow, there's a lot of smoke here. | |
| It really seems that this, in fact, did happen. | |
| You know, there was some sort of resistance fighter that ended up shooting a helicopter owned by the US military. | |
| And he shot a Stinger missile, and the Stinger missile was improperly armed, and so it hit the helicopter and didn't explode, but instead fell to the ground. | |
| It was later recovered, and the military looked at the serial numbers and they said, holy crap, this is a missile that we gave to the CIA. What's it doing in terrorists' hands? | |
| And so that's the backstory on the whole Benghazi thing. | |
| And there's a lot of evidence for it. | |
| And now here I am as an engineer looking at Google's fake news documents saying, oh, this is an example of fake news and this is something that our system is going to filter. | |
| So did it seem like Google simply had a strong political bias and was just now flagging things as fake news, things that might embarrass Hillary Clinton, or things that might help Donald Trump? | |
| Yeah, I mean, obviously, Google at that point was pretty obviously indoctrinated and pretty far left. | |
| Their diversity inclusion managers were kind of like off the rails. | |
| So they were like, you know, into this cultural Marxism and saying how racist we all were and how racist the company was and how it wasn't doing enough to help minorities and using the fact that, you know, there wasn't enough, that certain races were overrepresented was indicative of racist hiring standards. | |
| And so they were making us do a lot of these things on a personal level to try to, you know, improve ourselves. | |
| And it was very obvious to me that they had like their own bias. | |
| But the thing is is that Google had always sort of like siloed their bias from the search engine, right? | |
| They had this concept of organic search results and they used and abused this word organic to make us think that these search results were something that were driven by the natural behavior of what you and I clicked on. | |
| And What I saw was this barrier between Google's ideology and their organic search results starting to fade and the confluence of those two things beginning to mix. | |
| And this fake news document was the first indicative proof that I had that, you know, besides this one meeting, that they were very serious about taking an active role and filtering the information and coming between you and the source of information. | |
| And turning an organic search result into a processed search result. | |
| And so, when I saw this fake news document, which, by the way, I've disclosed to the public now. | |
| You can see this at ZachBorhees.com. | |
| When I saw this document, I went, okay, well, now they're describing that there's this fake news. | |
| And they're classifying examples of what fake news means. | |
| Well, what's going to be the thing that actually actively suppresses this quote-unquote fake news? | |
| And I started to search for that. | |
| And that's what led me to this machine learning fairness system. - This video was made possible by brighteon.com. | |
| After being deplatformed by YouTube, I built Brighteon.com so that we can speak. | |
| All voices of dissent are welcome. |
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