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Speaker 1: Forget shadow banning. That is what many conservatives thought were

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Speaker 1: happening to them on Twitter, and I'm sure now at Facebook,

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Speaker 1: Google and YouTube, well now we are have been vindicated.

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Speaker 1: For years and years, conservatives like myself have said that

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Speaker 1: we have been shadow banded. What does shadow banning mean?

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Speaker 1: It means, yes, you're on a platform like Twitter, but

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Speaker 1: you don't really exist. Your tweets aren't shown to other people,

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Speaker 1: and it is impossible for what you tweet out to

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Speaker 1: actually go viral. In other words, they're saying, we don't

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Speaker 1: like what you're saying, so we're gonna suppress what you're saying.

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Speaker 1: Big tree falls in the forest, no one's around. Did

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Speaker 1: it actually make a sound? Well, forget shadow banning. It

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Speaker 1: was worse than what we even thought. Now Twitter we

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Speaker 1: know had an entire blacklist, and I am assuming, based

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Speaker 1: on what we have seen over the last twenty four hours,

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Speaker 1: that I and many other conservatives are on the list.

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Speaker 1: The second installment of the Twitter files revealing Twitter's secret blacklists,

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Speaker 1: was dropped on Thursday night. Not too long after taking

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Speaker 1: over Twitter, billionaire Elon Muss pledged to release the documents

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Speaker 1: showing how under the company's previous ownership Twitter engaged in

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Speaker 1: the suppression of free speech. These three documents are now

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Speaker 1: referred to as the quote Twitter Files. We have known

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Speaker 1: now for quite some time that conservatives went from having

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Speaker 1: the normal ability to reach people to being completely silenced

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Speaker 1: on the platform. We saw big stories that were silenced.

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Speaker 1: We saw big things like the Hunter Biden laptop story

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Speaker 1: be banned from being able to be used and even

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Speaker 1: shared in private messaging. We saw Twitter, and we know

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Speaker 1: this for a fact now they treated people that shared

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Speaker 1: the Hunter Biden story the same way they treated people

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Speaker 1: who shared child pornography. That's how much they were tipping

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Speaker 1: the scales. Now Elon Musk has just tweeted out that

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Speaker 1: quote Twitter is working on a software update that will

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Speaker 1: show your true accounts status, so you know clearly if

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Speaker 1: you've been shadow band This is going to rock the

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Speaker 1: world because you're going to see just how much the

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Speaker 1: information was being suppressed by big tech. Now, not only

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Speaker 1: did Elon Musk's pledge to release the documents, but we're

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Speaker 1: now getting names. These files have been shared with two

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Speaker 1: independent journalists. We saw the first installment that came out

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Speaker 1: on December the second, and it covered details surrounding Twitter

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Speaker 1: suppression of the Hunter Biden laptop scandal. In his first

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Speaker 1: tweet of the Twitter Files Part two, this journalist White

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Speaker 1: revealed that the entire teams of Twitter employees actually put

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Speaker 1: together their own blacklists and in suppress and shadow bann

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Speaker 1: the reach of certain accounts, virtually all of them conservative.

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Speaker 1: Something of shadow banning it again as the practice of

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Speaker 1: suppressing a user on a platform, or a user and

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Speaker 1: the information that they're putting out there. It's that simple, Twitter.

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Speaker 1: What they were doing was actually much worse than that.

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Speaker 1: This was no, by the way, small operation or some

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Speaker 1: rogue employee. There are lists and lists and lists, blacklists

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Speaker 1: of whole groups of people who Twitter simply decided to

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Speaker 1: crush and liberal Former New York Times reporter Why says

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Speaker 1: that politics was driving at least part of the operation,

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Speaker 1: if not all of it. Let me give you an example.

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Speaker 1: One such blacklist user was a Stanford professor. This professor

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Speaker 1: had argued that COVID lockdowns were incredibly detrimental to young children,

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Speaker 1: an argument that later turned out to be one hundred

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Speaker 1: percent correct. Because of this, the professor was put on

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Speaker 1: a Trends blacklist, which suppressed the reach of all of

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Speaker 1: his tweets indefinitely. This essentially prevented this professor from ever

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Speaker 1: trending and the truth that he was telling or the

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Speaker 1: questions he was asking from being seen by the masses. Additionally,

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Speaker 1: we now know that Life's revealed that conservative talk shows

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Speaker 1: Dan biden Gino, a friend of mine, had also been

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Speaker 1: placed on a search blacklist. What is a search blacklist?

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Speaker 1: It means that you could search for him, but you

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Speaker 1: couldn't find him. We also now know that conservative activists,

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Speaker 1: also a friend of mine, Charlie Kirk, had been placed

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Speaker 1: on a do not Amplify amplify blacklist after he became

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Speaker 1: one of the most engaging Twitter accounts on the entire platform.

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Speaker 1: I want you to hear, by the way, what Dan

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Speaker 1: Bongino had to say to Sean Hannity reacting to the

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Speaker 1: news that he was put on a blacklist where you

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Speaker 1: couldn't find him. And by the way, when he saying this,

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Speaker 1: for years people said he was a kuk, a conspiracy theorists,

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Speaker 1: a crazy and nut job. Back to his words here,

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Speaker 1: and he said, the media is complicit and they were

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Speaker 1: lying to the American public. They spent a total of

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Speaker 1: seven seconds this weekend on the Sunday programs talking about

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Speaker 1: this huge story that broke last Friday, or Elon Musk

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Speaker 1: himself saying, if you shut down dissenting voices, it is,

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Speaker 1: by its very definition, election interference. He even admitted that

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Speaker 1: Twitter was acting as the propaganda arm of the Democratic

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Speaker 1: Party in this election. Election interference. Now we're not even

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Speaker 1: including Meadow or Facebook called Zuckerberg. We're not including Google,

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Speaker 1: we're not including Apple, we're not including YouTube. And I

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Speaker 1: think that Congress needs to demand that they become as

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Speaker 1: transparent as Elon Musk has been come here, and I

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Speaker 1: give him a lot of credit for this. Yeah, listen

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Speaker 1: um to Elon Musk. I don't know if you're watching

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Speaker 1: or not, but if you see it later, just a

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Speaker 1: heartfelt thank you. You know, I was talking to our

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Speaker 1: good friend Mark Levin before and his great radio show

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Speaker 1: said the same thing. Regardless of the yeah, thank you, Um,

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Speaker 1: you know, Sean, regardless of what happens when we look forward, Dan,

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Speaker 1: you gotta love Mark. He's the best guest. He's the

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Speaker 1: only one that tells you that's it, I'm done, go ahead.

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Speaker 1: I know. Hell when he's when you're when you're called

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Speaker 1: the great one, you can do that kind of stuff.

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Speaker 1: That's why you get mark. But when Elon Musk, you know, well,

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Speaker 1: regardless of what happens, he may lose legitimately may lose

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Speaker 1: billions of dollars on this acquisition. I don't think he will.

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Speaker 1: I think he's a creative guy, and I think he's

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Speaker 1: gonna build this thing out to be something special. But

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Speaker 1: he has done a service to this country. He had

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Speaker 1: He has literally, not figuratively changed the history of I

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Speaker 1: think how big tech is going to operate moving forward.

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Speaker 1: He's exposed one key point. I want the audio. It's

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Speaker 1: understands that what the press did to collude and interfere

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Speaker 1: and potentially fleeced the twenty twenty election away from Donald

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Speaker 1: Trump based on based on solid data a polling taken

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Speaker 1: afterwards about how people would have voted if they would

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Speaker 1: have known about the hunter Biden's story. But not get

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Speaker 1: into any other stuff. I'm talking strictly about that the

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Speaker 1: media intentionally did that. Sean, this is my point. This

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Speaker 1: wasn't misfeasance, right. Misfeasance is different. You see someone trip

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Speaker 1: on the sidewalk in front of you, you don't help him,

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Speaker 1: that's misfeasance. That's not what this was. This was malfeasance.

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Speaker 1: A guy trips on the sidewalk in front of you

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Speaker 1: and you kick him in the teeth as he's getting up.

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Speaker 1: They did this on purpose. This was active collusion between

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Speaker 1: the FBI, people in the DHS, the d NI people

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Speaker 1: at the FEC who had heard about this stuff, Twitter,

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Speaker 1: and big tech to steal away your country. And you

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Speaker 1: know what, listen to me, folks, They did it, and

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Speaker 1: Elon Musk is trying to help you get it back

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Speaker 1: to the Republicans in Congress who now are about to

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Speaker 1: take over in January, you better grow some moose nuts

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Speaker 1: and you better do something about this, or we're not

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Speaker 1: going to have a damn country left. This is the

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Speaker 1: public Square. I love Fox News and I love working here,

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Speaker 1: but Sean, even though we have the biggest shows in primetime,

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Speaker 1: it's still just a small population of America. We cannot

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Speaker 1: win an election in the future with just Fox News.

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Speaker 1: You need Twitter to be open, you need Facebook to

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Speaker 1: be open, you need these other platforms. It's why I

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Speaker 1: put my money behind these other things too, because, like

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Speaker 1: you said, I'm trying to build this parallel economy out

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Speaker 1: Maybe that's why I'm public Enemy number one to these

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Speaker 1: guys showing I don't know, but I'm telling you. I

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Speaker 1: promise you as I don't whine about it every day

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Speaker 1: on my show because I'm not a snowflake. You have

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Speaker 1: no idea what goes on behind the scenes with Facebook

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Speaker 1: fact checking my page over nonsense, Google banning US, YouTube

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Speaker 1: banning US, Twitter shadow banning us. It's relentless. It never stops.

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Speaker 1: They put a guitar, get on my back for a

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Speaker 1: long time. Now, Dan Bongino's right, by the way, He's

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Speaker 1: absolutely right what's happening. And he's not the only one

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Speaker 1: that was affected this way. One of the other people

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Speaker 1: that was affected in a major way that is a name,

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Speaker 1: a man by the name of Charlie Kirk. Now, Charlie

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Speaker 1: Kirk had a very active Twitter account. He had a

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Speaker 1: massive amount of engagement at Twitter. And the reason why

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Speaker 1: he had that engage is because he was connecting with

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Speaker 1: young people and conservatives and they was trying to build

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Speaker 1: a conservative base to fight back against liberals and schools

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Speaker 1: and colleges, woke professors and all that they were involved

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Speaker 1: in in public education. He was taking on universities around

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Speaker 1: the country and these Twitter bomb shelf files Part two

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Speaker 1: prove what all conservatives have long been not just suspected

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Speaker 1: of it, but had been accusing Twitter and big tech

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Speaker 1: of doing. You get on a list, and I believe

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Speaker 1: I was on this list because our Twitter reach just

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Speaker 1: died overnight. We went from a half million followers to

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Speaker 1: one hundred and twenty something thousand, and it didn't move

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Speaker 1: for four years. And a tweet for us would be

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Speaker 1: a good tweet if it got ten people that retweeted it.

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Speaker 1: Ten people, that's it. Charlie Kirk found out he was targeted.

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Speaker 1: All of his suspicions were true. Right he was a

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Speaker 1: conspiracy theorist. No, no no, no, he wasn't a conspiracy theorist

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Speaker 1: because he saw it in real time, just like I did.

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Speaker 1: Charlie Kirk is someone else who apparently was censored by Twitter,

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Speaker 1: as the founder in president of Turning Point USA. We

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Speaker 1: just told you that. Barry Weie a few moments ago

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Speaker 1: reported that internally Twitter censors set Charlie Kirk's account to

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Speaker 1: do not amplify status. Charlie Kirk joins us right now, Charlie,

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Speaker 1: thanks so much for coming on. You're just hearing this too.

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Speaker 1: I mean, this just happened. This is happening in fact,

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Speaker 1: as we talked about it. But do you have any

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Speaker 1: idea which of your tweets set this censorship in motion?

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Speaker 1: I could probably guess. You know, a couple of years ago,

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Speaker 1: Axios did a study that showed that our Twitter account

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Speaker 1: had was the fourth most engaged Twitter account on the planet,

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Speaker 1: right up there with President Trump. I mean, I've been

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Speaker 1: using Twitter for a decade. Happened to understand it really well,

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Speaker 1: and we were averaging one hundred and fifteen thousand retweets

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Speaker 1: a day when we were really at our peak, and

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Speaker 1: we would talk about, for example, in the midst of

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Speaker 1: the virus, how lockdowns might not be the best decision.

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Speaker 1: We started talking about how hey, I asked the question,

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Speaker 1: are there other treatments that we might want to talk about?

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Speaker 1: So it could have been that. But then all of

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Speaker 1: a sudden, we saw off a cliff. Almost immediately, our engagement,

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Speaker 1: our retweets disappear. I started to talk about this a

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Speaker 1: lot Tucker, and I was called the conspiracy theorist. I

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Speaker 1: was smeared and I started the email crazy, yes exactly,

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Speaker 1: well you're quot I'm like, wait, hold on a second.

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Speaker 1: I used to get one hundred fifteen thousand retweets. And

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Speaker 1: then it's kind of one of those things, right Tucker,

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Speaker 1: where they convince you to stop talking about it because

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Speaker 1: you sound like, Okay, who cares about your Twitter account?

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Speaker 1: Not a big deal. And now you see actual verified

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Speaker 1: documents where my Twitter account was labeled as do not

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Speaker 1: amplify NSFW, which I could only fir means not safe

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Speaker 1: for work, other like threat tags. They're treating my Twitter

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Speaker 1: account with more scrutiny and censorship than the Prime Minister

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Speaker 1: of Iran than hamas the people that do actual terroristic

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Speaker 1: type damage. And now we have evidence to show that's

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Speaker 1: exactly why my Twitter A count the last couple of

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Speaker 1: years has been down ninety five percent in engagement. They

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Speaker 1: saw what I had to say as a direct threat

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Speaker 1: to the regime. You think about what Charlie Kirk just

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Speaker 1: said there about he has a Twitter account that is silenced.

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Speaker 1: But the terrorists in al Qaeda, in the Taliban, in Iran,

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Speaker 1: they don't have their tweets silence or censored. The regime

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Speaker 1: in China and in Russia do not have their tweet

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Speaker 1: silence because if you went after any of them and

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Speaker 1: you silenced them, then they would in that country say fine,

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Speaker 1: we're going to ban the terms of use of service

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Speaker 1: on Twitter. Don't think China wouldn't do that in one second.

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Speaker 1: But in America, Charlie Kirk can only do what I did, right,

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Speaker 1: I know I'm being censored, and they say, oh, you're

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Speaker 1: a conspiracy theorist. And remember they also lied about this.

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Speaker 1: I really want to go back and remind you what

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Speaker 1: the head of Twitter said about this. Okay, the head

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Speaker 1: of Twitter said back in the day that there was

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Speaker 1: not shadow banning going on, like this didn't happen. It

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Speaker 1: wasn't something that they would ever be doing, and if

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Speaker 1: you believed it, you were really considered to be crazy. Dorsey,

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Speaker 1: by the way, was also asked not just about shadow banning,

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Speaker 1: but also about censoring just in general, like censoring conservative,

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Speaker 1: censoring people. He's been lying about this for years. When

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Speaker 1: he was a Twitter CEO. He went on the Today

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Speaker 1: Show in an exclusive interview. All right, and he went

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Speaker 1: on there with Matt Lowerd. This like two pis of

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Speaker 1: birds of a feather, you know, flock together, two peas

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Speaker 1: in a pod. I mean, this was the ideal person, right,

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Speaker 1: You got these two scumbags talking to the American people,

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Speaker 1: and trying to make them believe that they don't shadow band,

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Speaker 1: they don't censor anyone. Listen, I sent tweet out yesterday

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Speaker 1: telling my followers, my measly number of followers that you

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Speaker 1: were going to be on and asking what questions they

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Speaker 1: would like you asked. There was an enormous outpouring of

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Speaker 1: questions about censorship. So let me ask you, point plank.

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Speaker 1: Does Twitter censor the content of its users? Does it

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Speaker 1: hide what it would consider inflammatory comments, whether they be

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Speaker 1: social or political? Absolutely not, Twitter, absolutely not. Okay, all right,

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Speaker 1: so think about how long ago, how long ago it

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Speaker 1: was when Matt lower was the host of the Today's

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Speaker 1: Show years ago, now right, this was a long, long,

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Speaker 1: long time ago. And Jack Dorsey is there for this

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Speaker 1: one on one and he's asked, so you do this?

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Speaker 1: Absolutely not, and then he goes on to say this

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Speaker 1: and all this. He knows the lie at the time

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Speaker 1: he's doing it. There's always been about controls. People can

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Speaker 1: follow whoever they want, and it's hard job to make

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Speaker 1: sure they see the most the most important things and

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Speaker 1: the things that don't matter to them. So anybody can

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Speaker 1: say anything on Twitter. The company does not go in

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Speaker 1: there and take certain things out that can be dangerous.

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Speaker 1: But there's certain there's certainly tweets that promote violence, which

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Speaker 1: is against our terms of service, and people have controls

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Speaker 1: to block, and people have controls to mute. But what

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Speaker 1: about the company who decides the difference between criticism and hate.

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Speaker 1: These are the individuals. So you can follow who you want,

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Speaker 1: and if it's something you want to see, you continue

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Speaker 1: to follow it. So he was lying. While he was

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Speaker 1: saying this, he had hundreds of employees every day dealing

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Speaker 1: with thousands of requests, some of them from government officials,

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Speaker 1: some of it from the Deep State, of it from

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Speaker 1: the Democratic National Committee, some of it from elected officials,

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Speaker 1: some of it from journalists, some of it from liberals

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Speaker 1: who worked with conservatives who were sending notes to Twitter saying, hey,

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Speaker 1: can you ban this guy? That's where I come in here.

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Speaker 1: I have no doubt that I would silenced by Twitter

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Speaker 1: and Facebook during the same week when I got my

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Speaker 1: first chance to host a show for an entire week.

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Speaker 1: I have no doubt that the hit piece that was

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Speaker 1: done on me by Media Matters was done at the

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Speaker 1: same time when they silenced and started shutting me down

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Speaker 1: on Facebook and Twitter at the same time, and my

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Speaker 1: Twitter and Facebook accounts have never been the same since

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Speaker 1: that week when I went on to host a show

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Speaker 1: at CNN for an entire week. Now, why would they

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Speaker 1: do that to me? During that week, I'll tell you why.

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Speaker 1: There was too many liberals at CNN that didn't want

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Speaker 1: him to see me succeed, much less host a TV show.

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Speaker 1: And that was the week when Media Matters came out

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Speaker 1: and started pounding me because they wanted to get rid

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Speaker 1: of me. Now, I believe that would probably came from

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Speaker 1: internally at CNN. There was too many liberals there that said,

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Speaker 1: this is too scary Ben Ferguson possibly doing a TV

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Speaker 1: show and getting ratings that could turn into something. We

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Speaker 1: got to make sure that number one, he can't reach

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Speaker 1: his followers on Twitter at the time that were like

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Speaker 1: a half million and Facebook. And then we're gonna put

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Speaker 1: out this Media Matters article on him to attack him,

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Speaker 1: so maybe they'll him off the air. That's how these

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Speaker 1: people work, And I have no doubt in my mind

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Speaker 1: since that date, my Twitter account has been in essence worthless.

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Speaker 1: And we're gonna find this out because Elon Mosca said

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Speaker 1: he's going to give out all the names of all

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Speaker 1: the people that had been silenced. But when Jack Dorsey

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Speaker 1: was doing this interview that I just played for you,

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Speaker 1: he knew he was lying to you, and he knew

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Speaker 1: that he was telling you something that was that was laughable.

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Speaker 1: And the people within Twitter were probably dying, laughing, knee

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Speaker 1: slapping as they're watching the Today's Show, going can you

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Speaker 1: believe the power that we have? This is amazing. He

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Speaker 1: also lied again when he did a interview on CNN

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Speaker 1: with you know, mister potato head himself, the dude that's

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Speaker 1: been fired, Brian Skelter, one of the scumbags at CNN

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Speaker 1: that would silence and censor people and tell his friends

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Speaker 1: in big tech to attack conservatives. This guy who mocked

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Speaker 1: Donald Trump asked the question about Trump like, hey, Donald

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Speaker 1: Trump says you're shadow banning and silencing him and their conservatives.

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Speaker 1: And listen to Jack Dorsey's response to this question. The

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Speaker 1: President called you out for shadow banning. What is the

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Speaker 1: truth around that idea? So I think a lot of

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Speaker 1: the statements behind the statement and the question behind the

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Speaker 1: question is look, shadow banning is a very widely defined term.

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Speaker 1: There's not one single definition. So the definition that we

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Speaker 1: found that seems to resonate with the most people, is

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Speaker 1: you know, not amplifying particular messages, or if someone puts

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Speaker 1: out a tweet hiding that tweet from everyone without that

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Speaker 1: person who tweeted it knowing about it. But the real

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Speaker 1: question behind the question is are we doing something according

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Speaker 1: to political ideology or viewpoints? And we are not. Period.

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Speaker 1: We do not look at content with regards to political

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Speaker 1: viewpoint or ideology. We look at behavior. Let me ask

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Speaker 1: about specific questions. Has Twitter ever been involved in shadow

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Speaker 1: banning with regards to political viewpoint or ideology? We look

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Speaker 1: at behavior. So if my count is right in real

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Speaker 1: time as we're listening to this together, he just lied

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Speaker 1: to you in one response six times, six times he

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Speaker 1: knew that he was lying to you. Does Twitter silence people? Yes?

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Speaker 1: Do they do it based on their beliefs? Yes? Is

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Speaker 1: it attacking a conservative viewpoint? Yes? Is shadow banning happening

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Speaker 1: based on his definition? Absolutely? It was. He lies to

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Speaker 1: you and says no, this never happened when he obviously

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Speaker 1: knows yes, it does happen, and it happened hundreds of

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Speaker 1: times per day. Were there accounts that had massive reach

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Speaker 1: that all of a sudden, that reach literally disappeared overnight

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Speaker 1: and you never got them off of the silencing status.

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Speaker 1: For years, they were indefinitely banned from being successful or

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Speaker 1: being seen on Twitter. Yes, he lied to you on

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Speaker 1: all of it, and he knew he line, because we

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Speaker 1: now know from the internal files that not only was

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Speaker 1: he did he know about this program at Twitter, he

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Speaker 1: was involved in it in a part of it. He

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Speaker 1: was in part of the decision making process. I need

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Speaker 1: There was something else that also happened. This was several

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Speaker 1: years ago. There were starting to be articles that were

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Speaker 1: written and reviews that were being written. You heard earliader

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Speaker 1: Charlie Kirk mentioned Axios did an expose about the silencing

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Speaker 1: of their Twitter account and did the dad and the

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Speaker 1: research and the analysis on all of it, and it

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Speaker 1: was it was damning. And so what happened was Big

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Speaker 1: Tech was being accused by virtually every talk show host

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Speaker 1: that was significant in the country of silencing them, shadow

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Speaker 1: banning them. We were hearing from listeners and callers that

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Speaker 1: were calling in and they were saying over and over again, hey,

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Speaker 1: we got a problem here, like we can't find you.

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Speaker 1: I can't find your stuff, I can't find your information.

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Speaker 1: We really can't find out what's happening right now with you.

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Speaker 1: And we're really concerned about this, right like like we're like,

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Speaker 1: we're genuinely concerned, and we started talking about it, and

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Speaker 1: then these organizations got smart. Facebook, for example, had an

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Speaker 1: emergency meeting. I had friends that were in this meeting.

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Speaker 1: They were flown out to California and given a briefing

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Speaker 1: on how basically, we're not censoring or silencing conservatives, we're

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Speaker 1: not shadow banning people. We want to work with you guys.

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Speaker 1: If you have any concerns, please call us. Yah yah yah.

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Speaker 1: This is when they were at least trying to fake it. Okay.

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Speaker 1: Twitter apparently did the same thing, and then they did

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Speaker 1: a pr kind of you know, move forward with this subject.

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Speaker 1: And what they did was they called prominent conservatives who

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Speaker 1: had large audience and they actually made themselves available to

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Speaker 1: do different interviews. Jack Dorsey for example, did this as well,

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Speaker 1: because they understood this could get sticky, so they needed

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Speaker 1: to go out there and just reassure the public we're

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Speaker 1: not really doing this, and then turn conservatives that were

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Speaker 1: being shadow into basically conspiracy theorist theorists right, Q and

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Speaker 1: on and all that crazy they would they would label you.

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Speaker 1: Is it crazy for even implying they were doing this

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Speaker 1: because they were on the record on legitimate shows right

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Speaker 1: putting out this propaganda. Sean Hannity got one of these interviews.

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Speaker 1: I remember this, and this was the lies told to

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Speaker 1: Hannity during that time. Let me ask about specific questions

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Speaker 1: as Twitter ever been involved in shadow banning. We do

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Speaker 1: not shadow ban according to political ideology or viewpoint or content.

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Speaker 1: That's Jack Dorsey saying that to Sean Handy on Shawn

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Speaker 1: Handy's TV show, our radio show. I should say, we

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Speaker 1: do not shadow ampeel based on content political viewpoints. He's

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Speaker 1: lying to you, but he's doing this from a PR

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Speaker 1: firm perspective perfectly. Hey, we're gonna get you on China

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Speaker 1: Handy's show. And I'm sure Jack Dorsey's like, why the

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Speaker 1: hell am I going on his show? Because this is

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Speaker 1: going to be an issue if you don't go on

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Speaker 1: a show, go on a show and tell the conservative

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Speaker 1: world that we're just not doing this, and he did

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Speaker 1: it and he sold it. Period. We every model that

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Speaker 1: we have on the network is really looking at the

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Speaker 1: behaviors on the network. We take those behaviors as signals,

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Speaker 1: and I do want to point out that these signals

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Speaker 1: evolve minute like, minute by minute, hourly by hourly. These

429
00:24:44,560 --> 00:24:48,240
Speaker 1: are not scarlet permanent letters that people then take on

430
00:24:48,359 --> 00:24:50,879
Speaker 1: as a badge and will never be ranked high in

431
00:24:50,920 --> 00:24:54,399
Speaker 1: search or not allowed to trend or ranked high in conversation.

432
00:24:54,520 --> 00:24:57,240
Speaker 1: So these are models that are looking at behaviors and

433
00:24:58,080 --> 00:25:02,600
Speaker 1: behaviors of bad faith actors who intend to manipulate, distract,

434
00:25:02,720 --> 00:25:08,520
Speaker 1: divide a conversation. This is pathological line. You know you're

435
00:25:08,520 --> 00:25:10,920
Speaker 1: going to do an interview with Sean Hannity. You know,

436
00:25:11,040 --> 00:25:13,000
Speaker 1: Sean Handy's going to ask you the question that he's

437
00:25:13,040 --> 00:25:15,840
Speaker 1: been talking about for months on end with a massive

438
00:25:15,840 --> 00:25:19,680
Speaker 1: amount of evidence that you're silencing and shadow banning conservative

439
00:25:19,680 --> 00:25:22,720
Speaker 1: Twitter accounts so that you can interfere in our elections

440
00:25:22,720 --> 00:25:25,080
Speaker 1: in this country. And you go on there from a

441
00:25:25,160 --> 00:25:28,080
Speaker 1: PR perspective, a PR standpoint to kind of make the

442
00:25:28,080 --> 00:25:31,840
Speaker 1: story go away and you look like you're totally being transparent.

443
00:25:32,200 --> 00:25:34,760
Speaker 1: This is no different than the Ponzi scheme interviews that

444
00:25:34,800 --> 00:25:38,880
Speaker 1: were just being done by this guy with XTF recently. Right,

445
00:25:39,280 --> 00:25:43,080
Speaker 1: go on, CNBC, tell them everything's perfect, Tell them everything's fine.

446
00:25:43,240 --> 00:25:46,479
Speaker 1: Give hundreds of millions of dollars, become the second biggest

447
00:25:46,520 --> 00:25:49,640
Speaker 1: donor to the Democratic Party, and they'll let you do

448
00:25:49,720 --> 00:25:51,600
Speaker 1: your Ponzi scheme and look the other way as long

449
00:25:51,640 --> 00:25:53,679
Speaker 1: as you're on the team of the Democrats. That is

450
00:25:53,720 --> 00:25:57,879
Speaker 1: exactly what was happening here with Twitter. I'm sure with Facebook, Okay,

451
00:25:58,200 --> 00:26:01,440
Speaker 1: it's exactly what was happening just with Twitter, But Facebook

452
00:26:01,480 --> 00:26:05,120
Speaker 1: and Google and Apple and YouTube, they're all doing this.

453
00:26:06,000 --> 00:26:07,800
Speaker 1: But to look you in the eye and tell you, no, no, no,

454
00:26:07,880 --> 00:26:12,640
Speaker 1: you're the crazy one, right, you are the you are

455
00:26:12,840 --> 00:26:17,280
Speaker 1: the crazy one. We're not crazy, you're crazy. You're the

456
00:26:17,320 --> 00:26:19,920
Speaker 1: one that's paranoid. You're the one that's part of Q

457
00:26:20,080 --> 00:26:22,359
Speaker 1: and on. In fact, let's just go back to Congress

458
00:26:22,400 --> 00:26:26,240
Speaker 1: for a second. Twitter CEO was testifying before a House panel,

459
00:26:26,880 --> 00:26:28,800
Speaker 1: and he knew that he was lying to Congress when

460
00:26:28,800 --> 00:26:31,040
Speaker 1: he was asked this question by a congressman who then

461
00:26:31,359 --> 00:26:34,000
Speaker 1: to the Twitter ceo. And this is his response to

462
00:26:34,119 --> 00:26:37,399
Speaker 1: this whole hearing. And the reason that Twitter, somehow, with

463
00:26:37,440 --> 00:26:40,440
Speaker 1: all the other social media platforms out there, got the

464
00:26:40,560 --> 00:26:43,840
Speaker 1: singular honor to sit in front of this committee is

465
00:26:43,840 --> 00:26:48,520
Speaker 1: because there's some implication that your site is trying to

466
00:26:48,600 --> 00:26:53,040
Speaker 1: censor conservative voices on your platform. Now, when you tried

467
00:26:53,080 --> 00:26:56,960
Speaker 1: to explain the shadow banning, as I understand it, you

468
00:26:57,080 --> 00:27:01,359
Speaker 1: had a system where if people who were following people

469
00:27:02,000 --> 00:27:06,760
Speaker 1: had some behaviors, that that was the trigger that allowed

470
00:27:06,960 --> 00:27:09,600
Speaker 1: that caused you to do the shadow banning. So you

471
00:27:09,600 --> 00:27:12,399
Speaker 1: were really like an equal opportunity shadow banner. Right, You

472
00:27:12,440 --> 00:27:16,680
Speaker 1: didn't just shadow bann for conservative Republicans. You shadow band

473
00:27:16,760 --> 00:27:20,679
Speaker 1: six hundred thousand people across your entire platform, across the

474
00:27:20,680 --> 00:27:25,159
Speaker 1: globe who had people following them that had certain behaviors

475
00:27:25,200 --> 00:27:28,840
Speaker 1: that caused you to dongrade them coming up. Is that correct? Now?

476
00:27:29,000 --> 00:27:31,240
Speaker 1: I love this. By the way, this is a Democrat

477
00:27:31,640 --> 00:27:35,320
Speaker 1: idiot from Pennsylvania, Democrat congressman saying, well, if there is

478
00:27:35,359 --> 00:27:39,400
Speaker 1: shadow banning, it's not like you're just targeting conservatives, because

479
00:27:39,440 --> 00:27:41,560
Speaker 1: this is what it got even worse for Twitter. Right,

480
00:27:42,000 --> 00:27:45,800
Speaker 1: Dorisy's there with his nose ring in probably you know,

481
00:27:45,880 --> 00:27:47,919
Speaker 1: just you know, I got finished smoking a ball, and

482
00:27:47,920 --> 00:27:50,760
Speaker 1: he's and he's just kind of you know, he's before Congress,

483
00:27:50,800 --> 00:27:53,080
Speaker 1: but he doesn't really care because he knows that everybody's

484
00:27:53,119 --> 00:27:55,000
Speaker 1: doing this and It's like, well, I'm not going down

485
00:27:55,040 --> 00:27:56,919
Speaker 1: as long as I own the company. Couldn't imagine at

486
00:27:56,920 --> 00:27:59,359
Speaker 1: this point when he's answering this question that Elon Musk

487
00:27:59,440 --> 00:28:03,360
Speaker 1: was gonna buy his company, right and in a hostile takeover.

488
00:28:03,400 --> 00:28:05,359
Speaker 1: He didn't imagine that would ever come out what they

489
00:28:05,359 --> 00:28:09,520
Speaker 1: were actually doing and shadow banning people and this Democrats like, well,

490
00:28:09,520 --> 00:28:11,560
Speaker 1: even if you did do this, you're doing it on

491
00:28:11,600 --> 00:28:14,280
Speaker 1: an issue, not on politics. You're not just picking three

492
00:28:14,320 --> 00:28:17,280
Speaker 1: conservatives and doing this to them. Now, you're doing it

493
00:28:17,359 --> 00:28:19,720
Speaker 1: one hundreds of thousands of people, right, all right, ready

494
00:28:19,760 --> 00:28:21,399
Speaker 1: for the lie in front of Congress. Here it is,

495
00:28:22,359 --> 00:28:27,399
Speaker 1: so this was never targeted at conservative Republicans. This was

496
00:28:27,480 --> 00:28:30,200
Speaker 1: targeted to a group of six hundred thousand people because

497
00:28:30,440 --> 00:28:33,400
Speaker 1: of the people who followed them. And then you determined

498
00:28:33,440 --> 00:28:38,680
Speaker 1: that wasn't fair and you corrected that practice. Is that correct? So,

499
00:28:38,880 --> 00:28:42,320
Speaker 1: just for the record, since you've been singled out as

500
00:28:42,360 --> 00:28:46,840
Speaker 1: a social media platform before this committee, Twitter undertook no

501
00:28:47,000 --> 00:28:54,080
Speaker 1: behavior to selectively censor conservative Republicans or conservative voices on

502
00:28:54,120 --> 00:28:57,720
Speaker 1: your platform. Is that correct? Good? So let the record

503
00:28:57,800 --> 00:29:01,760
Speaker 1: reflect that, because that's the whole reasons we're here. Because

504
00:29:01,840 --> 00:29:05,840
Speaker 1: House Leader Kevin McCarthy wrote our chairman a letter and said, hey,

505
00:29:05,840 --> 00:29:07,920
Speaker 1: this is going on and we think your committee should

506
00:29:07,960 --> 00:29:11,520
Speaker 1: investigate it and it's a load of crap. Well, there

507
00:29:11,520 --> 00:29:14,640
Speaker 1: it is. It's a load of crap, right, he just

508
00:29:14,760 --> 00:29:17,760
Speaker 1: lied to Congress. Will there'll be any accountability for lying

509
00:29:17,800 --> 00:29:20,480
Speaker 1: to Congress? I doubt it because he's a Democrat. If

510
00:29:20,520 --> 00:29:22,560
Speaker 1: you lie to congressman, Democrat, you get a slap on

511
00:29:22,600 --> 00:29:24,960
Speaker 1: the back the XTF chairman. I go back to the

512
00:29:24,960 --> 00:29:27,000
Speaker 1: Ponzi scheme of XDF for a second, just to show

513
00:29:27,000 --> 00:29:29,760
Speaker 1: you the example. As long as you're on the Democrats team,

514
00:29:29,760 --> 00:29:32,080
Speaker 1: they will do nothing but protect you when you're busted

515
00:29:32,120 --> 00:29:38,480
Speaker 1: screwing up. The number two investor in the Democratic Party

516
00:29:38,520 --> 00:29:41,040
Speaker 1: and the midterm elections was the guy who two days

517
00:29:41,080 --> 00:29:45,680
Speaker 1: after the midterm elections files for bankruptcy. Basically, his company

518
00:29:45,720 --> 00:29:48,760
Speaker 1: goes bankrupt. There's no money, There's billions and billions of

519
00:29:48,800 --> 00:29:52,560
Speaker 1: dollars that are missing. But hey, at least he funneled

520
00:29:52,600 --> 00:29:55,920
Speaker 1: a couple hundred thousand the Democratic Party first, and we'll

521
00:29:55,960 --> 00:29:59,680
Speaker 1: look the other way. You throw this guy in front

522
00:29:59,680 --> 00:30:01,840
Speaker 1: of Congress, and what do you tell people over and

523
00:30:01,880 --> 00:30:05,480
Speaker 1: over again? You tell them that what they believe Kevin McCarthy.

524
00:30:05,520 --> 00:30:08,480
Speaker 1: The Republicans, you're crazy. You ask them the question, did

525
00:30:08,480 --> 00:30:10,480
Speaker 1: you shout out and Republicans know? Would you pick up

526
00:30:10,560 --> 00:30:13,040
Speaker 1: Republicans on purpose? No? Did you do any of that's

527
00:30:13,080 --> 00:30:14,880
Speaker 1: on purpose? No, you didn't do any of it. Now,

528
00:30:15,160 --> 00:30:18,960
Speaker 1: and it wasn't just politics. Right, There's another part of

529
00:30:18,960 --> 00:30:24,760
Speaker 1: this story. This was anything that Twitter didn't want to

530
00:30:24,840 --> 00:30:28,040
Speaker 1: let out. There that anything Twitter didn't want to exist.

531
00:30:29,680 --> 00:30:33,840
Speaker 1: This included stuff with covid. Okay, covid was a big

532
00:30:33,880 --> 00:30:36,040
Speaker 1: part of this. I want to go back to the

533
00:30:36,080 --> 00:30:41,560
Speaker 1: story the doctor real quick, this professor who was asking

534
00:30:42,040 --> 00:30:45,960
Speaker 1: genuine questions about lockdowns and could it negatively affect children.

535
00:30:46,640 --> 00:30:49,760
Speaker 1: Listen to what Miranda defined said about this last night,

536
00:30:50,000 --> 00:30:51,680
Speaker 1: spooking Google, We're doing it. What are you think it's

537
00:30:51,720 --> 00:30:54,640
Speaker 1: going on on YouTube? We'll likely never know, but we

538
00:30:54,680 --> 00:30:58,160
Speaker 1: can certainly guess. Miranda Divine was an early target of

539
00:30:58,240 --> 00:31:00,680
Speaker 1: censorship by Twitter. Of course, she works at the New

540
00:31:00,760 --> 00:31:03,160
Speaker 1: York Post, which broke the Hunter Biden laptop stories. She's

541
00:31:03,160 --> 00:31:05,480
Speaker 1: been following it ever since. She joins US tonight with

542
00:31:05,560 --> 00:31:08,760
Speaker 1: reaction to the second tranche of documents. What do you

543
00:31:08,800 --> 00:31:13,840
Speaker 1: make of this so far? Miranda Look, it's I guess

544
00:31:13,920 --> 00:31:17,440
Speaker 1: not surprising, as you said, but it is really gratifying

545
00:31:17,560 --> 00:31:22,480
Speaker 1: to see it laid out in policies and to catch

546
00:31:22,520 --> 00:31:26,040
Speaker 1: out those top people at Twitter in their lies, because

547
00:31:26,080 --> 00:31:29,000
Speaker 1: they did lie. They said that there was no shadow

548
00:31:29,040 --> 00:31:32,280
Speaker 1: banning going on, where you know, we knew just by

549
00:31:32,280 --> 00:31:35,880
Speaker 1: our own experience on Twitter. I, for instance, since Elon

550
00:31:35,960 --> 00:31:40,000
Speaker 1: Musk brought in, have increased my follower account by forty percent,

551
00:31:40,480 --> 00:31:44,880
Speaker 1: and that's just something that's experienced by conservatives across the board.

552
00:31:45,200 --> 00:31:48,280
Speaker 1: And you notice from all the names that Barry Weiss

553
00:31:48,280 --> 00:31:52,760
Speaker 1: has brought up tonight, they're all conservatives. And Barry Weiss

554
00:31:52,840 --> 00:31:56,080
Speaker 1: is not a conservative. She's ex New York Times. I

555
00:31:56,120 --> 00:31:59,360
Speaker 1: guess she'd be a red pilled liberal if anything, And

556
00:32:00,520 --> 00:32:03,800
Speaker 1: if there were left wingers that had been banned, you

557
00:32:03,840 --> 00:32:06,440
Speaker 1: can bet that she would have named them to be

558
00:32:06,560 --> 00:32:11,160
Speaker 1: equal opportunity. I think Matt Taibi was snowed, probably by

559
00:32:11,280 --> 00:32:14,240
Speaker 1: James Baker. He said a couple of things that didn't

560
00:32:14,280 --> 00:32:17,600
Speaker 1: ring true with those first batch of Twitter files, like

561
00:32:17,640 --> 00:32:21,760
Speaker 1: the federal government wasn't involved, and so I think now

562
00:32:22,360 --> 00:32:24,880
Speaker 1: that Elon Musk has kind of been red pilled himself

563
00:32:24,880 --> 00:32:29,480
Speaker 1: and James Baker has gone, we might see more things

564
00:32:29,480 --> 00:32:32,360
Speaker 1: that are useful. But of course, you know, as Tracey

565
00:32:32,440 --> 00:32:36,200
Speaker 1: just said, there's still nothing on the FBI, but it's

566
00:32:36,240 --> 00:32:39,239
Speaker 1: really part of an overall censorship scheme, and it was

567
00:32:39,320 --> 00:32:44,960
Speaker 1: anything that was, you know, anybody dissenting against the Biden administration,

568
00:32:45,640 --> 00:32:50,600
Speaker 1: against federal agencies like the CDC, you know, anything for instance.

569
00:32:50,920 --> 00:32:53,360
Speaker 1: I think a lot of this. I think Elon Musk

570
00:32:53,480 --> 00:32:57,640
Speaker 1: is getting ahead of the revelations that we're seeing out

571
00:32:57,640 --> 00:33:02,080
Speaker 1: of that incredible lawsuit being wrought by Eric Schmidt, the

572
00:33:02,240 --> 00:33:06,480
Speaker 1: Attorney General now Senator elect from Missouri and the Attorney

573
00:33:06,520 --> 00:33:10,680
Speaker 1: General of Louisiana. They are suing the Biden administration for

574
00:33:11,440 --> 00:33:14,920
Speaker 1: violation of the First Amendment for using the social media

575
00:33:14,960 --> 00:33:19,960
Speaker 1: companies to do their dirty work, and that included banning

576
00:33:20,040 --> 00:33:25,320
Speaker 1: or shadow banning. J Batichara, who is an eminent physician

577
00:33:25,720 --> 00:33:33,520
Speaker 1: from Stanford, multiple degrees and incredibly sober, sensible, rational, thoughtful person,

578
00:33:34,160 --> 00:33:38,760
Speaker 1: one of the three founders of the Great Barrington Declaration,

579
00:33:38,840 --> 00:33:42,920
Speaker 1: which just said it wasn't COVID denying, it was just

580
00:33:43,160 --> 00:33:46,719
Speaker 1: saying we know enough to know that it really just

581
00:33:46,840 --> 00:33:49,520
Speaker 1: hits the elderly and the infirm. So they should be

582
00:33:49,560 --> 00:33:53,880
Speaker 1: protected and let younger people who aren't affected keep the

583
00:33:53,960 --> 00:33:59,840
Speaker 1: economy going and basically create herd immunity by getting sick

584
00:34:00,120 --> 00:34:03,920
Speaker 1: the virus and not dying. And that was just the

585
00:34:03,960 --> 00:34:08,200
Speaker 1: most eminently sensible thing for everybody's mental health, physical health,

586
00:34:08,480 --> 00:34:14,560
Speaker 1: and economic health. And he was shadow banned, he and

587
00:34:14,760 --> 00:34:18,560
Speaker 1: every sensible person online who said children should not be

588
00:34:18,600 --> 00:34:23,960
Speaker 1: getting these shots because the ill effects outweighed the benefits.

589
00:34:24,280 --> 00:34:29,840
Speaker 1: And they were right. And unfortunately, you know, doctor Fauci

590
00:34:30,160 --> 00:34:32,279
Speaker 1: and all these people who just decided they were going

591
00:34:32,320 --> 00:34:36,600
Speaker 1: to suppress the truth, they probably cost people's lives. Of

592
00:34:36,640 --> 00:34:39,040
Speaker 1: course they did, of course they did. And it was strategic.

593
00:34:39,160 --> 00:34:42,160
Speaker 1: I mean, they weren't censoring people because they were annoying.

594
00:34:42,200 --> 00:34:45,680
Speaker 1: They were censoring people because they were providing factual information

595
00:34:46,600 --> 00:34:52,319
Speaker 1: that might have stopped certain policies or election results from happening. So,

596
00:34:52,560 --> 00:34:54,840
Speaker 1: you know, this was sophisticated and had a huge effect

597
00:34:55,120 --> 00:34:59,359
Speaker 1: on American society. I would say a huge effect. If

598
00:34:59,360 --> 00:35:02,759
Speaker 1: you can take out all the big Republican names, you

599
00:35:02,800 --> 00:35:05,239
Speaker 1: can go on TV like Jack Dorsey did saying I

600
00:35:05,480 --> 00:35:09,319
Speaker 1: we never censored any concertism. You're crazy. If you take

601
00:35:09,360 --> 00:35:13,680
Speaker 1: away the reach of every conservative talk showst in the country,

602
00:35:13,880 --> 00:35:18,600
Speaker 1: every conservative commentator in the country. That's significant. Imagine how

603
00:35:18,640 --> 00:35:20,920
Speaker 1: you can change an election. Imagine what you can do

604
00:35:20,960 --> 00:35:24,120
Speaker 1: when you can silence and ban a story and then

605
00:35:24,280 --> 00:35:26,399
Speaker 1: treat people that are trying to share that story about

606
00:35:26,440 --> 00:35:31,360
Speaker 1: Hunter Biden's laptop like they are sharing child pornography. Imagine

607
00:35:31,360 --> 00:35:33,719
Speaker 1: how successful you can be an election after election if

608
00:35:34,320 --> 00:35:39,160
Speaker 1: the Democratic Party, the Deep State, the FBI, Hillary Clinton's campaign,

609
00:35:39,680 --> 00:35:45,160
Speaker 1: Joe Biden's campaign can just send a note to big

610
00:35:45,200 --> 00:35:48,560
Speaker 1: Tech saying, this guy's a pain in our ass. Can

611
00:35:48,560 --> 00:35:51,880
Speaker 1: you silence him? Make him disappear? Can you make it

612
00:35:51,920 --> 00:35:54,440
Speaker 1: where Dan Bonino? You when you search his name you

613
00:35:54,480 --> 00:35:57,040
Speaker 1: can't even find him. Yeah, we can do that for you,

614
00:35:57,120 --> 00:36:00,440
Speaker 1: no problem. It's a lot easier to want to actions.

615
00:36:00,960 --> 00:36:03,640
Speaker 1: It's a lot easier to do shady and corrupt things

616
00:36:03,680 --> 00:36:07,000
Speaker 1: if you know that if the shady and corrupt things

617
00:36:07,719 --> 00:36:10,799
Speaker 1: are actually exposed, that you can just shut down them

618
00:36:10,840 --> 00:36:14,120
Speaker 1: being exposed. In other words, you've won the game no

619
00:36:14,200 --> 00:36:16,920
Speaker 1: matter what you do. You want to know why Democrats

620
00:36:16,960 --> 00:36:20,680
Speaker 1: have gotten so bold, why they've gotten so good at

621
00:36:20,880 --> 00:36:26,120
Speaker 1: doing god awful things. This is why, because there's zero

622
00:36:26,120 --> 00:36:31,600
Speaker 1: accountability when they get caught zero. I'll say it again, zero.

623
00:36:32,880 --> 00:36:36,520
Speaker 1: Twitter is a crime scene. Not my words, but the

624
00:36:36,560 --> 00:36:39,480
Speaker 1: words of the guy who just bought it, Elon Musk

625
00:36:39,560 --> 00:36:44,040
Speaker 1: as he continues to expose what was happening behind the scenes.

626
00:36:44,840 --> 00:36:50,080
Speaker 1: Twitter exposed in a very big, big way. Now Democrats

627
00:36:50,120 --> 00:36:53,920
Speaker 1: are concerned this could turn into an issue. There were

628
00:36:54,080 --> 00:36:58,920
Speaker 1: sensor happy executives that use tools to suppress conservative news,

629
00:36:59,480 --> 00:37:07,640
Speaker 1: conserve organizations, and conservative commentators, as well as possibly politicians.

630
00:37:08,440 --> 00:37:12,520
Speaker 1: We also know that Twitter met with federal agencies amid

631
00:37:12,520 --> 00:37:15,760
Speaker 1: the hunter By laptop scandal and allowed the FBI to

632
00:37:15,800 --> 00:37:21,279
Speaker 1: actually report tweets to Twitter left ex executives blacklisted and

633
00:37:21,480 --> 00:37:24,960
Speaker 1: twisted rules, made up rules, and admitted that there were

634
00:37:25,000 --> 00:37:29,560
Speaker 1: some people that didn't even commit terms of service issues

635
00:37:29,640 --> 00:37:34,720
Speaker 1: on Twitter that still got silenced and censored, including Donald Trump.

636
00:37:35,600 --> 00:37:38,840
Speaker 1: The fourth part of the Twitter file series was published

637
00:37:38,840 --> 00:37:43,320
Speaker 1: Saturday night by a journalist by the name of Michael Sallenberger,

638
00:37:44,440 --> 00:37:50,080
Speaker 1: outlining how Twitter executives twisted the platform's rules with the

639
00:37:50,200 --> 00:37:55,000
Speaker 1: intention of blacklisting former President Donald Trump. On January the

640
00:37:55,120 --> 00:38:00,080
Speaker 1: seventh of twenty twenty, in a recently published thread, the

641
00:38:00,160 --> 00:38:03,600
Speaker 1: journalists outline the fourth release of the Twitter file series

642
00:38:03,680 --> 00:38:11,120
Speaker 1: detailing the internal workings at Twitter and conversations between executives

643
00:38:11,160 --> 00:38:18,120
Speaker 1: ahead of the banning of former President Donald Trump. Michael

644
00:38:18,200 --> 00:38:21,839
Speaker 1: wrote the Removal of Donald Trump on January seventh. As

645
00:38:21,880 --> 00:38:24,919
Speaker 1: the pressure builds, Twitter executives build the case for a

646
00:38:25,000 --> 00:38:28,440
Speaker 1: permanent ban, making it clear that this was what they

647
00:38:28,440 --> 00:38:33,000
Speaker 1: were going to do all along. The journalist states that

648
00:38:33,280 --> 00:38:36,160
Speaker 1: following the events of the US Capital on January sixth,

649
00:38:36,160 --> 00:38:39,520
Speaker 1: Twitter faced immense pressure to ban President Trump, with many

650
00:38:40,280 --> 00:38:44,080
Speaker 1: claiming they needed to ban Trump quote for safety reasons.

651
00:38:44,480 --> 00:38:49,400
Speaker 1: During the time, then CEO Jack Dorsey was on vacation,

652
00:38:49,560 --> 00:38:52,799
Speaker 1: appeared to delegate much of the decision making to other

653
00:38:52,840 --> 00:38:57,040
Speaker 1: top executives, including the global head of Trust and Safety,

654
00:38:57,160 --> 00:39:00,200
Speaker 1: You'll Roth, and the head of Legal Policy and Trust,

655
00:39:01,320 --> 00:39:06,600
Speaker 1: the Platform Censorship Queen. After the events of January the sixth,

656
00:39:06,600 --> 00:39:10,440
Speaker 1: the internal and external pressure on the CEO grew. In fact,

657
00:39:10,520 --> 00:39:14,240
Speaker 1: even former First Lady Michelle Obama we now know, got

658
00:39:14,280 --> 00:39:20,320
Speaker 1: in on the action, yes, including tech journalists, high tech vcs,

659
00:39:20,400 --> 00:39:24,440
Speaker 1: and many others who were calling on Twitter to permanently

660
00:39:24,640 --> 00:39:31,040
Speaker 1: ban Donald Trump. Dorsey, again on vacation the week of

661
00:39:31,160 --> 00:39:33,880
Speaker 1: January the fourth or the eighth, he phoned into meetings,

662
00:39:33,920 --> 00:39:37,239
Speaker 1: but also delegated much of the handling the situation to

663
00:39:37,320 --> 00:39:41,320
Speaker 1: the senior executives who ran with it. On January the seventh,

664
00:39:41,400 --> 00:39:45,239
Speaker 1: Dorsey emailed employees saying that the platform must remain consistent

665
00:39:45,360 --> 00:39:50,080
Speaker 1: in its policies quote, including allowing users to return to

666
00:39:50,120 --> 00:39:55,000
Speaker 1: the platform following temporary bands. Roth re assured an employee

667
00:39:55,000 --> 00:39:58,480
Speaker 1: that people who care about this aren't happy with where

668
00:39:58,520 --> 00:40:04,879
Speaker 1: we are. Roth later excited damned colleague, stating, guess what,

669
00:40:05,960 --> 00:40:12,839
Speaker 1: Jack just approved repeat offender for civic integrity. This would

670
00:40:12,840 --> 00:40:16,799
Speaker 1: allow Twitter to create a system where five violations of

671
00:40:16,920 --> 00:40:22,360
Speaker 1: rules would result in a permanent suspension. Now, before I

672
00:40:22,360 --> 00:40:24,200
Speaker 1: get into more of this story, I want to say

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Speaker 1: ben now. On January the seventh, Jack emails employees, saying

691
00:41:35,400 --> 00:41:39,560
Speaker 1: Twitter needs to remain consistent, but after that you'll Ross

692
00:41:39,600 --> 00:41:43,280
Speaker 1: says jack emails have been fine, but ultimately I think

693
00:41:43,320 --> 00:41:46,680
Speaker 1: people want to hear from us or someone closer to

694
00:41:46,719 --> 00:41:50,880
Speaker 1: the specifics of this who can reassure them that people

695
00:41:50,960 --> 00:41:55,560
Speaker 1: who care about this are thinking deeply about these problems

696
00:41:55,600 --> 00:41:59,200
Speaker 1: and aren't happy with where we are. A few engineers

697
00:41:59,200 --> 00:42:01,359
Speaker 1: have reached out to me directly about it, and I'm

698
00:42:01,480 --> 00:42:05,440
Speaker 1: chatting your row rights with them, but it's so clear

699
00:42:05,520 --> 00:42:08,600
Speaker 1: they just want to know what that someone is doing

700
00:42:08,640 --> 00:42:13,040
Speaker 1: something about this, and and it's not that we're ignoring

701
00:42:13,239 --> 00:42:16,640
Speaker 1: the issues here. Another said, I think there's also an

702
00:42:16,640 --> 00:42:19,400
Speaker 1: opportunity here to help you understand that while it seems

703
00:42:19,560 --> 00:42:25,400
Speaker 1: obvious and simple that we should do something, it's an

704
00:42:25,640 --> 00:42:34,520
Speaker 1: opportunity for us to talk about permanent bands of personal accounts. Quote.

705
00:42:34,520 --> 00:42:38,200
Speaker 1: We can't afford to take that immediate action without first

706
00:42:38,239 --> 00:42:41,319
Speaker 1: playing the movie out and anticipating all the other things

707
00:42:41,320 --> 00:42:44,520
Speaker 1: that can happen, and then figure out the plans for

708
00:42:44,600 --> 00:42:48,520
Speaker 1: those possible scenarios. Example, if we suspend a personal account

709
00:42:49,000 --> 00:42:51,280
Speaker 1: and he posts the same thing on the official government

710
00:42:51,320 --> 00:42:54,280
Speaker 1: account referring to Donald Trump, do we suspend that too.

711
00:42:55,440 --> 00:42:58,759
Speaker 1: People can be forgiven for not thinking beyond the thing

712
00:42:59,080 --> 00:43:04,279
Speaker 1: that's immediately in front of them, But Jack, Vijaia Dell,

713
00:43:04,600 --> 00:43:06,840
Speaker 1: you don't have the luxury of just pulling the trigger

714
00:43:06,880 --> 00:43:10,920
Speaker 1: without thinking things through. We tell them repeatedly that people

715
00:43:11,040 --> 00:43:13,759
Speaker 1: are on it, and people are working on it, and

716
00:43:13,800 --> 00:43:16,239
Speaker 1: they're scratching their heads wondering how hard can it be

717
00:43:16,320 --> 00:43:20,799
Speaker 1: decided if this single account is in violation quote unquote,

718
00:43:21,640 --> 00:43:25,239
Speaker 1: Around eleven thirty am Roth DM's colleagues with the news

719
00:43:25,280 --> 00:43:27,560
Speaker 1: that he's excited to share. Guess why, he writes, Jack

720
00:43:27,640 --> 00:43:32,239
Speaker 1: disapproved repeat offenders for civic integrity. The new approach would

721
00:43:32,239 --> 00:43:35,120
Speaker 1: create a system where five strikes means you get a

722
00:43:35,160 --> 00:43:40,799
Speaker 1: permanent suspension. All caps guess what. He goes on to say.

723
00:43:40,960 --> 00:43:44,920
Speaker 1: Directional approach would be something like labels which are severe

724
00:43:45,200 --> 00:43:51,440
Speaker 1: enough to result in disabled engagements, incurred incurse strikes, strikes

725
00:43:51,640 --> 00:43:55,160
Speaker 1: number one label only, strike label only, strike three, label

726
00:43:55,560 --> 00:43:59,240
Speaker 1: twelve plus hour timeout, strike four, label plus seven day timeout,

727
00:43:59,280 --> 00:44:03,359
Speaker 1: strike five, permanent suspension. They're getting excited because now they

728
00:44:03,400 --> 00:44:05,520
Speaker 1: have a pathway to getting rid of anyone they don't like.

729
00:44:06,760 --> 00:44:12,080
Speaker 1: Then we got an internal message, it says progress, exclaims

730
00:44:12,080 --> 00:44:14,400
Speaker 1: a member of Ross Trump and Safety team. The exchange

731
00:44:14,440 --> 00:44:17,600
Speaker 1: between Roth and his colleagues make it clear that they've

732
00:44:17,640 --> 00:44:20,880
Speaker 1: been pushing Jack Dorsey for greater restrictions on the speech

733
00:44:21,000 --> 00:44:25,279
Speaker 1: Twitter allows around elections. The colleagues then went on to say,

734
00:44:25,320 --> 00:44:28,279
Speaker 1: we want to know if the decision means Trump can

735
00:44:28,280 --> 00:44:31,319
Speaker 1: finally be banned. The person asked, does that does the

736
00:44:31,360 --> 00:44:35,360
Speaker 1: incitement to violence an aspect change that calculus? Ross says

737
00:44:35,400 --> 00:44:39,759
Speaker 1: it doesn't. Trump continues to just have this one strike remaining,

738
00:44:40,920 --> 00:44:43,560
Speaker 1: one strike reign remaining, and you didn't even know about

739
00:44:43,600 --> 00:44:48,160
Speaker 1: the other ones ross colleagues quietly talk about this and

740
00:44:48,280 --> 00:44:51,200
Speaker 1: keep talking about the incitement of violence heavily foreshadows what

741
00:44:51,239 --> 00:44:54,560
Speaker 1: will happen the following day, And then on January eighth,

742
00:44:54,600 --> 00:44:57,480
Speaker 1: Twitter announces that permanent ban on Donald Trump due to

743
00:44:57,520 --> 00:45:02,080
Speaker 1: the risk of further incitement of violent Twitter says that

744
00:45:02,400 --> 00:45:06,560
Speaker 1: its ban is based on specifically quote how Trump tweets

745
00:45:06,640 --> 00:45:11,440
Speaker 1: are being received and quote interpreted, But in twenty nineteen,

746
00:45:11,480 --> 00:45:15,359
Speaker 1: Twitter said it did not attempt to determine all potential

747
00:45:15,520 --> 00:45:21,520
Speaker 1: interpretations of the content or its intent. The only serious

748
00:45:21,520 --> 00:45:25,080
Speaker 1: concern we found expressed within Twitter over the implications for

749
00:45:25,160 --> 00:45:29,319
Speaker 1: free speech and democracy of banning Trump came from a

750
00:45:29,440 --> 00:45:33,000
Speaker 1: junior person the organization. It was tucked away in a

751
00:45:33,080 --> 00:45:38,719
Speaker 1: lower level Slack channel known as Site Integrity AUTO. The

752
00:45:38,840 --> 00:45:42,799
Speaker 1: person said, quote this might be an unpopular opinion, but

753
00:45:42,920 --> 00:45:46,360
Speaker 1: one staff ad hoc decisions like this that don't appear

754
00:45:46,480 --> 00:45:53,400
Speaker 1: rooted in policy are I am ho slippery slope and

755
00:45:53,480 --> 00:46:01,920
Speaker 1: reflecting alternately alternatively equally dictorial problem. This now appears to

756
00:46:01,960 --> 00:46:06,239
Speaker 1: be a fiat by an online platform CEO with a

757
00:46:06,280 --> 00:46:09,680
Speaker 1: global present that can gate keep speech for the entire world,

758
00:46:10,239 --> 00:46:16,399
Speaker 1: which seems unsustainable. The person wrote, and the slack yes

759
00:46:16,920 --> 00:46:22,720
Speaker 1: might be unpopular. Very clearly, it was dictator and tyrant

760
00:46:23,080 --> 00:46:28,160
Speaker 1: esque focus on silencing free speech at Twitter as long

761
00:46:28,200 --> 00:46:31,520
Speaker 1: as you were on the right. It's not a conspiracy theory.

762
00:46:31,640 --> 00:46:34,239
Speaker 1: It happened, It was real, and it was happening all

763
00:46:34,239 --> 00:46:36,759
Speaker 1: the time. Now, before I get into more of that,

764
00:46:36,800 --> 00:46:38,319
Speaker 1: I want to tell you about our friends over at

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Speaker 1: nothing is free. Mobile phone companies not only lock you

769
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Speaker 1: into long term contracts, but they also build the price

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Speaker 1: wireless provider. They offer nationwide coverage on the best four

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Speaker 1: towers as the major carrier that you're probably on right now.

777
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Speaker 1: So if you want to get great service and you

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Speaker 1: want to know you're working with a company that supports

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789
00:48:06,719 --> 00:48:08,840
Speaker 1: want to let you hear something else real quick, and

790
00:48:08,920 --> 00:48:13,080
Speaker 1: that deals with Kevin McCarthy. Kevin McCarthy was asked about

791
00:48:13,120 --> 00:48:18,120
Speaker 1: the fifty one Intel agents. You may remember they came

792
00:48:18,160 --> 00:48:20,719
Speaker 1: out and the way to wake of the Hunter Biden files.

793
00:48:21,640 --> 00:48:25,880
Speaker 1: Those fifty one agents sign that letter telling the world

794
00:48:25,880 --> 00:48:28,879
Speaker 1: that they believe that the Hunter Biden laptop story had

795
00:48:28,960 --> 00:48:36,480
Speaker 1: quote all the mark markings of Russian disinformation. In other words,

796
00:48:36,680 --> 00:48:40,919
Speaker 1: don't believe the story. Stories should never be believed. This

797
00:48:40,960 --> 00:48:44,480
Speaker 1: story is crap. This story is a story that no

798
00:48:44,520 --> 00:48:48,760
Speaker 1: one should look at and take it seriously. This story

799
00:48:48,960 --> 00:48:52,320
Speaker 1: was made up and created by the Russians to influence

800
00:48:52,400 --> 00:48:57,360
Speaker 1: our elections. Fifty one of them decided it was a

801
00:48:57,400 --> 00:49:00,760
Speaker 1: good idea to do this, folks, fifty one of them.

802
00:49:03,120 --> 00:49:10,040
Speaker 1: Fifty one of them did this. Yeah, it's a problem.

803
00:49:10,360 --> 00:49:13,600
Speaker 1: Makes me angry, by the way, Why did they do

804
00:49:13,640 --> 00:49:16,680
Speaker 1: this when they knew that they were lying to the

805
00:49:16,719 --> 00:49:20,279
Speaker 1: American people. They knew it, folks, they knew they were

806
00:49:20,440 --> 00:49:24,280
Speaker 1: lying to the American people. Listen to what Kevin McCarthy

807
00:49:24,280 --> 00:49:26,719
Speaker 1: had to say about moving forward with the Republicans in

808
00:49:26,760 --> 00:49:29,640
Speaker 1: the House if he's a speaker, Speaker of the House,

809
00:49:29,719 --> 00:49:32,279
Speaker 1: Kevin McCarthy, last question. We saw the revelations coming out

810
00:49:32,280 --> 00:49:34,759
Speaker 1: of Twitter as Elon musk is unmasking the corruption that

811
00:49:34,800 --> 00:49:38,239
Speaker 1: existed there in the denials that they testified about. So

812
00:49:38,440 --> 00:49:40,960
Speaker 1: for you personally, you have another move you want to make.

813
00:49:41,000 --> 00:49:42,720
Speaker 1: Not only do we want to hear from the former

814
00:49:43,000 --> 00:49:45,960
Speaker 1: executives at Twitter and maybe the other entities, you have

815
00:49:46,000 --> 00:49:48,239
Speaker 1: something else you want to say, Yeah, I do, because

816
00:49:48,440 --> 00:49:50,640
Speaker 1: this is egregious what we're finding. They shouldn't have Section

817
00:49:50,640 --> 00:49:52,880
Speaker 1: two thirty to start out with. But we also have

818
00:49:52,960 --> 00:49:55,600
Speaker 1: to go further. What did Facebook and Google do as well?

819
00:49:55,640 --> 00:49:58,200
Speaker 1: Because they became an arm of the Democratic Party in

820
00:49:58,200 --> 00:50:01,400
Speaker 1: the arm of government. But difference. We're going to do

821
00:50:01,600 --> 00:50:04,560
Speaker 1: those fifty one Intel agents that signed a letter that

822
00:50:04,600 --> 00:50:08,320
Speaker 1: said the Hunter Biden information was all wrong, was Russia collusion.

823
00:50:08,719 --> 00:50:11,080
Speaker 1: Many of them have a security clearance. We're going to

824
00:50:11,160 --> 00:50:13,520
Speaker 1: bring them before committee. I'm going to have them have

825
00:50:13,640 --> 00:50:17,160
Speaker 1: a hearing, bring them and subpoena them before committee. Why

826
00:50:17,160 --> 00:50:18,920
Speaker 1: did they sign it? Why did they lie to the

827
00:50:18,960 --> 00:50:22,200
Speaker 1: American public? A clapper of Brennan, Why did you use

828
00:50:22,239 --> 00:50:25,080
Speaker 1: the reputation that America was able to give to you

829
00:50:25,360 --> 00:50:28,279
Speaker 1: more information but use it for a political purpose and

830
00:50:28,440 --> 00:50:31,080
Speaker 1: lie to the American public is exactly what Adam Shift

831
00:50:31,120 --> 00:50:33,560
Speaker 1: has done to us, and this has got to stop.

832
00:50:33,840 --> 00:50:36,120
Speaker 1: You deserve to be speaker. I hope you get the votes.

833
00:50:36,360 --> 00:50:39,960
Speaker 1: Thanks so much for joining us. Appreciated Kevin McCarthy again,

834
00:50:40,120 --> 00:50:43,400
Speaker 1: he's up and trying to deal with us right trying

835
00:50:43,400 --> 00:50:46,480
Speaker 1: to decide how this is going to work. But he's

836
00:50:46,520 --> 00:50:50,319
Speaker 1: making it clear, Hey, I'm not backing down. We're going

837
00:50:50,360 --> 00:50:53,760
Speaker 1: to keep moving forward. We're going to ask these people,

838
00:50:53,800 --> 00:50:56,400
Speaker 1: We're going to force them to come in. We're going

839
00:50:56,440 --> 00:50:59,879
Speaker 1: to force them to answer questions about what you guys

840
00:51:00,120 --> 00:51:01,799
Speaker 1: knew and when did you know it because if you

841
00:51:01,840 --> 00:51:05,000
Speaker 1: had this top secret clearance, you knew that the Hunter

842
00:51:05,080 --> 00:51:08,319
Speaker 1: Biden laptop wasn't a lie. You knew the Hunter Biden

843
00:51:08,400 --> 00:51:11,439
Speaker 1: laptop was not just kind of real, it was extremely real.

844
00:51:12,440 --> 00:51:16,040
Speaker 1: You knew that that laptop was authentic. You knew that

845
00:51:16,160 --> 00:51:21,040
Speaker 1: the information in it was information that had already been

846
00:51:21,520 --> 00:51:26,319
Speaker 1: verified as being legitimate by the FBI. In fact, you

847
00:51:26,360 --> 00:51:28,759
Speaker 1: knew there was a cover up. You knew that the

848
00:51:28,800 --> 00:51:33,000
Speaker 1: people the FBI that had this laptop buried the laptop

849
00:51:33,200 --> 00:51:34,840
Speaker 1: so that it wouldn't see the light of day. And

850
00:51:34,920 --> 00:51:37,760
Speaker 1: you knew the reason why that was happening is because

851
00:51:37,800 --> 00:51:39,960
Speaker 1: you were terrified that if it came out and you

852
00:51:40,000 --> 00:51:43,080
Speaker 1: said it was real, that Joe Biden wouldn't win the election,

853
00:51:43,400 --> 00:51:46,560
Speaker 1: that it would guarantee Donald Trump another four years. And

854
00:51:46,640 --> 00:51:49,600
Speaker 1: so fifty one different people in the Intel Committee all

855
00:51:49,640 --> 00:51:52,080
Speaker 1: came out and they all signed this letter, and they

856
00:51:52,120 --> 00:51:58,120
Speaker 1: all did it on purpose. They should testify on all

857
00:51:58,160 --> 00:52:03,920
Speaker 1: of this. They will testify. Two different representatives have now

858
00:52:03,960 --> 00:52:07,920
Speaker 1: issued an ultimatum to Twitter employees who censored the Hunter

859
00:52:08,480 --> 00:52:14,799
Speaker 1: Biden laptop story. James Comer and Jim Jordan spoke earlier

860
00:52:14,840 --> 00:52:18,399
Speaker 1: this week with Sean Hannity about this issue, saying, we're

861
00:52:18,400 --> 00:52:20,720
Speaker 1: going to hold them accountable as well. Take a listen

862
00:52:21,040 --> 00:52:24,080
Speaker 1: with you. Now that we know the FBI had this

863
00:52:24,160 --> 00:52:27,840
Speaker 1: laptop for eleven months, there's low hanging fruit crimes. But

864
00:52:27,960 --> 00:52:31,279
Speaker 1: that's not the big one. You said when you made

865
00:52:31,280 --> 00:52:35,520
Speaker 1: your announcement about your investigation. This is an investigation into

866
00:52:35,560 --> 00:52:40,600
Speaker 1: the President of the United States. That laptop implicates Joe Biden.

867
00:52:40,960 --> 00:52:44,920
Speaker 1: We have photographs that prove that he was with Hunter

868
00:52:45,280 --> 00:52:48,359
Speaker 1: and his farm business associates. We know that he went

869
00:52:48,440 --> 00:52:52,920
Speaker 1: and attended meetings with farm business associates and Hunter. We

870
00:52:53,000 --> 00:52:56,479
Speaker 1: know Hunter bitches and moans and groans and complaints. He's

871
00:52:56,520 --> 00:53:00,440
Speaker 1: paying Dad or Pops all this money. So the question

872
00:53:00,520 --> 00:53:04,160
Speaker 1: here is is this the biggest influence pedaling scandal Congress

873
00:53:04,200 --> 00:53:09,160
Speaker 1: is investigating. Absolutely, There's nothing like it in the history

874
00:53:09,200 --> 00:53:13,040
Speaker 1: of America. We've never had a family that has influenced

875
00:53:13,080 --> 00:53:16,000
Speaker 1: pedal to this degree. And if you look at the

876
00:53:16,480 --> 00:53:19,360
Speaker 1: whole purpose of what we're talking about today, it's because

877
00:53:19,520 --> 00:53:23,120
Speaker 1: this investigation of the Biden family influence pedaling. The evidence

878
00:53:23,239 --> 00:53:26,880
Speaker 1: is based a lot in part with what the documents

879
00:53:26,920 --> 00:53:30,000
Speaker 1: are and the data is on the laptop. So Sean,

880
00:53:30,120 --> 00:53:33,040
Speaker 1: I'm breaking on your show tonight based on the internal

881
00:53:33,080 --> 00:53:37,400
Speaker 1: documents that Elon Musk released this weekend. The Oversight Committee

882
00:53:37,440 --> 00:53:39,720
Speaker 1: will be sending a letter tomorrow morning to the three

883
00:53:39,760 --> 00:53:44,839
Speaker 1: Twitter employees, Missus, Gaddy, Roth and Baker that we're implicated

884
00:53:45,040 --> 00:53:48,560
Speaker 1: in the cover up of the laptop story. Three letters

885
00:53:49,080 --> 00:53:52,960
Speaker 1: requesting their presence in front of the Oversight Committee in January.

886
00:53:53,000 --> 00:53:57,680
Speaker 1: But wasn't the FBI putting pressure on big tech companies?

887
00:53:58,040 --> 00:54:02,680
Speaker 1: Oh You're going to try, Glad, sir, right, And what

888
00:54:03,640 --> 00:54:06,879
Speaker 1: we're going to ask them is who was influencing your

889
00:54:06,920 --> 00:54:10,200
Speaker 1: decision banking. Did you do this unilaterally or did you

890
00:54:10,280 --> 00:54:13,040
Speaker 1: do this based on what you were told from the

891
00:54:13,040 --> 00:54:16,520
Speaker 1: Biden campaign, from the Democrat National Committee, or even worse,

892
00:54:16,640 --> 00:54:19,400
Speaker 1: and as I suspect, from the FBI. This is going

893
00:54:19,440 --> 00:54:21,480
Speaker 1: to be an opportunity for the American people to hear

894
00:54:21,560 --> 00:54:24,960
Speaker 1: directly from the three Twitter employees implicated in the data

895
00:54:25,000 --> 00:54:29,279
Speaker 1: release that Elon must just dumped this weekend. So they're

896
00:54:29,280 --> 00:54:31,400
Speaker 1: going to have a few weeks to get their story start,

897
00:54:31,640 --> 00:54:33,719
Speaker 1: and they're going to be able to come under oath

898
00:54:33,840 --> 00:54:36,400
Speaker 1: in front of the House Oversight Committee and tell the

899
00:54:36,400 --> 00:54:40,000
Speaker 1: American people what really happened. And why why were they

900
00:54:40,120 --> 00:54:44,600
Speaker 1: so intent on suppressing this story. Jim Colemo will give you,

901
00:54:44,760 --> 00:54:46,760
Speaker 1: by the way, we know why they were so intent

902
00:54:46,880 --> 00:54:51,719
Speaker 1: on suppressing this story because they knew how damning it

903
00:54:51,880 --> 00:54:57,200
Speaker 1: was to everyone involved. That's why they did it. See,

904
00:54:57,200 --> 00:54:59,800
Speaker 1: the only reason why they did it was so d

905
00:55:01,239 --> 00:55:04,840
Speaker 1: it was it was it was a story that you

906
00:55:04,960 --> 00:55:09,399
Speaker 1: could not overcome. It was a story that was going

907
00:55:09,480 --> 00:55:14,320
Speaker 1: to ruin you. It was a story that you had

908
00:55:14,400 --> 00:55:19,359
Speaker 1: to silence and suppressed because if you didn't, the other

909
00:55:19,440 --> 00:55:23,680
Speaker 1: guy was gonna win. I got to go back and

910
00:55:23,719 --> 00:55:29,520
Speaker 1: remind you of one thing. They impeached and the intelligence

911
00:55:29,520 --> 00:55:33,600
Speaker 1: community allowed for the impeachment of a president of the

912
00:55:33,680 --> 00:55:37,440
Speaker 1: United States of America, Donald Trump, based on data and

913
00:55:37,560 --> 00:55:43,319
Speaker 1: based on information the entire time that they knew was

914
00:55:43,360 --> 00:55:48,040
Speaker 1: a lie. They knew when he was being impeached, when

915
00:55:48,040 --> 00:55:50,760
Speaker 1: they were trying to overthrow the will of the people,

916
00:55:52,320 --> 00:55:55,799
Speaker 1: they knew that the entire thing was crap. They had

917
00:55:55,800 --> 00:56:00,560
Speaker 1: already classified it is user generated information. They knew that

918
00:56:00,640 --> 00:56:02,960
Speaker 1: it came from the Hillary Clinton campaign and from the

919
00:56:03,000 --> 00:56:08,000
Speaker 1: Democratic National Committee. They allowed the information to be used

920
00:56:08,600 --> 00:56:11,720
Speaker 1: to try to overthrow the will of more than fifty

921
00:56:11,800 --> 00:56:15,520
Speaker 1: percent of the American population, and they watched it in

922
00:56:15,520 --> 00:56:18,200
Speaker 1: the intelligence community after they had already classified it and

923
00:56:18,320 --> 00:56:21,239
Speaker 1: knew who brought it up, who brought it in, and

924
00:56:21,280 --> 00:56:23,520
Speaker 1: who had all this data there. They knew it the

925
00:56:23,800 --> 00:56:27,879
Speaker 1: entire time, folks, and they loved every minute of it.

926
00:56:29,239 --> 00:56:32,000
Speaker 1: Why would anyone be shocked that they were trying to

927
00:56:32,160 --> 00:56:36,879
Speaker 1: destroy each and every conservative who had a significant audience

928
00:56:37,680 --> 00:56:40,440
Speaker 1: on social media platforms. And I have no doubt that

929
00:56:40,520 --> 00:56:43,239
Speaker 1: this is exactly what was going on. I have no

930
00:56:43,320 --> 00:56:48,239
Speaker 1: doubt at Facebook probably right now as we speak, and

931
00:56:48,440 --> 00:56:54,080
Speaker 1: Google as we speak, and YouTube as we speak. I

932
00:56:54,200 --> 00:56:57,680
Speaker 1: have no doubt that this is happening anywhere they can silence.

933
00:56:57,719 --> 00:57:01,120
Speaker 1: I'll give you a great example. The Republican National Committee

934
00:57:01,600 --> 00:57:04,640
Speaker 1: came out several months ago. We exposed it on the

935
00:57:04,719 --> 00:57:08,600
Speaker 1: show and on my podcast that about ninety percent of

936
00:57:08,680 --> 00:57:12,880
Speaker 1: fundraising emails were going to spam at Gmail accounts. The

937
00:57:12,920 --> 00:57:17,160
Speaker 1: majority of Americans have Gmail accounts, and ninety percent of

938
00:57:17,200 --> 00:57:22,000
Speaker 1: Democratic fundraising emails actually went into the main mailboxes. And

939
00:57:22,040 --> 00:57:26,800
Speaker 1: we're seen by recipients how much money and how many

940
00:57:26,800 --> 00:57:31,320
Speaker 1: get out the vote efforts disappeared. How much money did

941
00:57:31,320 --> 00:57:34,400
Speaker 1: the Democrats raise because their emails were being seen, and

942
00:57:34,440 --> 00:57:37,560
Speaker 1: the Republican emails were not They were going to spam.

943
00:57:38,640 --> 00:57:41,760
Speaker 1: These are all of the things that were actually happening.

944
00:57:44,000 --> 00:57:47,080
Speaker 1: How bad was it. It's so bad that the GOP

945
00:57:47,600 --> 00:57:52,240
Speaker 1: announced in late October that they are suing Google, claiming

946
00:57:52,240 --> 00:57:56,440
Speaker 1: their campaign emails are being sent on purpose to spam.

947
00:57:57,080 --> 00:58:00,880
Speaker 1: The Republican National Committee filed a lawsuit going after Google

948
00:58:00,920 --> 00:58:04,800
Speaker 1: for allegedly sending its campaign emails to people's spam folders.

949
00:58:05,360 --> 00:58:08,600
Speaker 1: The RMC file day lawsuit in federal court in California

950
00:58:08,720 --> 00:58:12,000
Speaker 1: on Friday. This is coming from CBS News by the way,

951
00:58:12,080 --> 00:58:16,320
Speaker 1: that Google is unlawfully discriminating against the Republican National Committee

952
00:58:16,360 --> 00:58:20,560
Speaker 1: the RNC by throttling its email messages because of the

953
00:58:20,680 --> 00:58:27,640
Speaker 1: rnc's political affiliation and views. Google has regulated millions and

954
00:58:27,760 --> 00:58:32,520
Speaker 1: millions of RNC emails in mass to potential donors and

955
00:58:32,680 --> 00:58:38,640
Speaker 1: supporters spam folders during pivotal points in election fundraising and

956
00:58:39,000 --> 00:58:44,400
Speaker 1: community building. The timing of Google's most egregious filtering is

957
00:58:44,480 --> 00:58:49,600
Speaker 1: particularly damning, the RNC said in the lawsuit. CNN reported

958
00:58:49,640 --> 00:58:53,280
Speaker 1: back in August, at federal election regulators voted to allow

959
00:58:53,320 --> 00:58:56,320
Speaker 1: Google to proceed with a plan to make it easier

960
00:58:56,320 --> 00:59:02,280
Speaker 1: for campaign emails to bypass spam filters. Google's pilot program

961
00:59:03,360 --> 00:59:06,680
Speaker 1: changes the filters for political emails, allowing them to bypass

962
00:59:06,720 --> 00:59:10,680
Speaker 1: the company's algorithm for sorting emails into spam. Instead, political

963
00:59:10,760 --> 00:59:13,560
Speaker 1: emails will land and spam folders only if users take

964
00:59:13,600 --> 00:59:16,000
Speaker 1: action to mark them as spam. This is how they're

965
00:59:16,000 --> 00:59:19,000
Speaker 1: trying to cover their ada blass. The fact was the

966
00:59:19,080 --> 00:59:22,880
Speaker 1: damage had already been done. The proposal to run a

967
00:59:22,960 --> 00:59:29,400
Speaker 1: quote pilot project came after intense Republican criticism that spam

968
00:59:29,480 --> 00:59:34,520
Speaker 1: filters were biased against conservative a charge, of course the

969
00:59:34,160 --> 00:59:37,120
Speaker 1: check the tech giant denied the same way that Twitter said,

970
00:59:37,160 --> 00:59:40,840
Speaker 1: we don't shadow band people. The CEO, Jack Dorsey has

971
00:59:40,840 --> 00:59:42,880
Speaker 1: said that over and over again. We know he did.

972
00:59:43,400 --> 00:59:46,560
Speaker 1: We know it from all their internal documents now and

973
00:59:46,600 --> 00:59:49,240
Speaker 1: a sign of public discuss with spam. The Federal Election

974
00:59:49,280 --> 00:59:52,440
Speaker 1: Commission received thousands of public comments urging it to deny

975
00:59:52,480 --> 00:59:55,880
Speaker 1: the request, but a majority of the six member commission

976
00:59:55,920 --> 00:59:59,040
Speaker 1: decided that Google's project did not constitute an improper in

977
00:59:59,200 --> 01:00:03,760
Speaker 1: kind political contribution that would violate federal campaign finance laws.

978
01:00:05,520 --> 01:00:09,800
Speaker 1: The RNC says the discrimination has been ongoing for about

979
01:00:09,840 --> 01:00:13,280
Speaker 1: ten months. Despite the rnc's best efforts to work with Google.

980
01:00:13,920 --> 01:00:17,440
Speaker 1: In fact, throughout the twenty twenty two cycle, the RNC

981
01:00:17,560 --> 01:00:20,280
Speaker 1: has engaged with Google month after month to obtain an

982
01:00:20,280 --> 01:00:23,800
Speaker 1: explanation and a solution, the RNC said in a lawsuit.

983
01:00:23,840 --> 01:00:27,120
Speaker 1: But every explanation has been refuted and every solution has failed.

984
01:00:27,840 --> 01:00:31,240
Speaker 1: Google continues to suppress the rnc's emails, and now Google

985
01:00:31,240 --> 01:00:34,520
Speaker 1: has fallen silent, refusing to discuss the issue further. The

986
01:00:34,560 --> 01:00:40,440
Speaker 1: only reasonable inference is that Google is intentionally sending critical

987
01:00:40,680 --> 01:00:44,400
Speaker 1: RNC emails to the spam folder, because it's the RNC

988
01:00:44,840 --> 01:00:49,400
Speaker 1: sending them. They're all doing it, folks. It's not just Twitter,

989
01:00:49,600 --> 01:00:54,800
Speaker 1: it's Facebook, it's YouTube, it's Google. They're all doing it.

990
01:00:55,720 --> 01:00:59,000
Speaker 1: And as long as they control Big Tech, I think

991
01:00:59,040 --> 01:01:02,160
Speaker 1: they assume they continue they can continue to do it

992
01:01:03,680 --> 01:01:08,600
Speaker 1: this whole thing. It's not just prominent names, by the way,

993
01:01:08,720 --> 01:01:12,720
Speaker 1: being censored by Twitter. There's others apparently that are being

994
01:01:12,760 --> 01:01:15,680
Speaker 1: suppressed as well. Now, before I get into more of

995
01:01:15,680 --> 01:01:17,640
Speaker 1: this story, I want to say thank you and tell

996
01:01:17,680 --> 01:01:20,600
Speaker 1: you about our good friends at Legacy Precious Metals. Without them,

997
01:01:20,640 --> 01:01:23,920
Speaker 1: the show wouldn't be possible. And if you have not

998
01:01:23,960 --> 01:01:26,040
Speaker 1: looked at gold and silver as a way to protect

999
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Speaker 1: your hard earned dollars against what the happening on Wall

1000
01:01:28,600 --> 01:01:32,080
Speaker 1: Street with inflation. It's time for you to call them

1001
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Speaker 1: and get the free Investor's Guide. Why because so many

1002
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1003
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Speaker 1: historically they have for decades as a protection, a hedge

1004
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1005
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Speaker 1: If you're terrified to look at your retirement account, your

1006
01:01:47,040 --> 01:01:50,320
Speaker 1: four one case statement because of what's happening on Wall Street,

1007
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Speaker 1: that's all the more reason why you should call and

1008
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Speaker 1: get the investors God in gold and silver, protect your

1009
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Speaker 1: hard earned money and diversify. Call them and get the

1010
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Speaker 1: free Investor's Guide from Legacy Precious Medals one eight six

1011
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Speaker 1: six seven five one twenty two eighteen one eight six

1012
01:02:07,480 --> 01:02:11,720
Speaker 1: six seven five one twenty two eighteen or online a

1013
01:02:11,880 --> 01:02:19,280
Speaker 1: Legacy PM investments dot Com. The media reporter Joe Concha

1014
01:02:19,400 --> 01:02:22,760
Speaker 1: at Fox News had this to say about the silencing

1015
01:02:22,760 --> 01:02:25,720
Speaker 1: of people that had important emails that went viral, Area

1016
01:02:25,840 --> 01:02:30,160
Speaker 1: important tweets that went viral. Take a listen. Conservative speak

1017
01:02:30,480 --> 01:02:36,440
Speaker 1: speeches and conservative free speech is something that should be

1018
01:02:36,520 --> 01:02:41,040
Speaker 1: something that the free press should embrace right, and instead

1019
01:02:41,320 --> 01:02:43,680
Speaker 1: they seem to be advocating the fact that people are

1020
01:02:43,720 --> 01:02:46,640
Speaker 1: being blacklisted at this point, and not just here point,

1021
01:02:46,840 --> 01:02:50,280
Speaker 1: not just Dan Bongino, who is a prominent podcaster and

1022
01:02:50,640 --> 01:02:53,840
Speaker 1: host on this network, or the lives of TikTok who

1023
01:02:53,920 --> 01:02:58,720
Speaker 1: are also blacklisted and their speech suppressed. It's all the

1024
01:02:58,800 --> 01:03:01,200
Speaker 1: other people out there that would say, hey, I feel

1025
01:03:01,200 --> 01:03:04,120
Speaker 1: like my tweets aren't getting the traction that they used to.

1026
01:03:04,440 --> 01:03:07,360
Speaker 1: Why is that? Why am I being suppressed? So yes,

1027
01:03:07,560 --> 01:03:10,520
Speaker 1: it's not just the prominent names. It's all the other

1028
01:03:10,560 --> 01:03:13,960
Speaker 1: people that may have a perspective on the way this

1029
01:03:14,000 --> 01:03:18,400
Speaker 1: country should be run or policies that they advocate. And

1030
01:03:18,680 --> 01:03:20,920
Speaker 1: that's the big problem here. And the thing is, it's

1031
01:03:20,960 --> 01:03:24,160
Speaker 1: not just social media, Fammi. It is traditional media that

1032
01:03:24,320 --> 01:03:28,160
Speaker 1: is working in lockstep with social media as far as

1033
01:03:28,360 --> 01:03:34,680
Speaker 1: suppressing this story now right, ABCNBCCBS, CNN, NBC, The New

1034
01:03:34,720 --> 01:03:37,360
Speaker 1: York Times, the Washington Post. I went on their web

1035
01:03:37,360 --> 01:03:40,000
Speaker 1: pages before we came on here, and I have seen

1036
01:03:40,280 --> 01:03:43,320
Speaker 1: nothing in terms of these document dumps, in terms of

1037
01:03:43,320 --> 01:03:47,280
Speaker 1: this fresh information, the receipts that we are seeing that

1038
01:03:47,800 --> 01:03:50,480
Speaker 1: this sort of censorship happened in the United States of

1039
01:03:50,480 --> 01:03:53,680
Speaker 1: America on Twitter. It's most problem in social media platform,

1040
01:03:53,800 --> 01:03:56,920
Speaker 1: right and and there's no reporting on it whatsoever, no

1041
01:03:57,040 --> 01:03:59,760
Speaker 1: reporting on it whatsoever. Why because they all liked it,

1042
01:03:59,760 --> 01:04:01,120
Speaker 1: they were all in on it, and they were all

1043
01:04:01,160 --> 01:04:05,440
Speaker 1: in favor of it. That's why the only group in

1044
01:04:05,480 --> 01:04:10,440
Speaker 1: America that was systematically discriminated against by power structures in

1045
01:04:10,480 --> 01:04:14,160
Speaker 1: this country over the last two election cycles are number

1046
01:04:14,160 --> 01:04:24,000
Speaker 1: one conservatives. Journalists who decided to speak up, honest doctors

1047
01:04:24,280 --> 01:04:30,280
Speaker 1: for example, that tried to speak up, those that tried

1048
01:04:30,400 --> 01:04:35,680
Speaker 1: to actually say something important, talk about this. They were

1049
01:04:35,720 --> 01:04:38,520
Speaker 1: the ones. Look at the doctors that were silence. We

1050
01:04:38,680 --> 01:04:42,480
Speaker 1: now know and we're hearing that these Twitter drops five

1051
01:04:42,600 --> 01:04:45,480
Speaker 1: and six of these Twitter files are going to be

1052
01:04:45,520 --> 01:04:49,400
Speaker 1: even more damning, are going to be even more eye opening,

1053
01:04:49,640 --> 01:04:52,200
Speaker 1: are going to be even more brutal, because what we're

1054
01:04:52,240 --> 01:04:56,000
Speaker 1: being told now is that doctors who actually spoke up,

1055
01:04:56,800 --> 01:04:59,880
Speaker 1: experts that spoke up about these shutting down of businesses

1056
01:05:00,040 --> 01:05:03,080
Speaker 1: and shutting down of schools and had warnings or just

1057
01:05:03,360 --> 01:05:08,600
Speaker 1: asked basic questions, what we're being told now is they

1058
01:05:08,680 --> 01:05:13,400
Speaker 1: were silenced and shut down their reach or their accounts

1059
01:05:13,440 --> 01:05:19,280
Speaker 1: were shut down. When it came to social media in

1060
01:05:19,360 --> 01:05:23,520
Speaker 1: the United States of America, where we conspiracy theorists know

1061
01:05:24,320 --> 01:05:26,440
Speaker 1: when you go from and I'll go back to my account.

1062
01:05:26,520 --> 01:05:33,320
Speaker 1: Had half a million active, engaged followers on Twitter Grand debates,

1063
01:05:33,880 --> 01:05:36,520
Speaker 1: Then all of a sudden, hundreds of thousands of my

1064
01:05:36,600 --> 01:05:41,000
Speaker 1: followers disappeared. Then all of a sudden, when I tweeted out,

1065
01:05:41,240 --> 01:05:44,320
Speaker 1: no one would see them. I would go from tweets

1066
01:05:44,320 --> 01:05:48,280
Speaker 1: that would have thousands of retweets and thousands of responses

1067
01:05:48,320 --> 01:05:54,280
Speaker 1: to one retweet three likes the big tree falls in

1068
01:05:54,320 --> 01:05:57,280
Speaker 1: the forest and no one's there. Did it actually happen?

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01:05:57,800 --> 01:06:01,080
Speaker 1: That is the question. And what social media and big

1070
01:06:01,120 --> 01:06:04,040
Speaker 1: tech said was all you got to do. If you're

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01:06:04,040 --> 01:06:07,200
Speaker 1: in the Democratic Party or in the FBI, if you're

1072
01:06:07,240 --> 01:06:09,360
Speaker 1: in the deep state and you've got something you see

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01:06:09,400 --> 01:06:12,960
Speaker 1: on Twitter you don't like, or someone that's growing an

1074
01:06:13,000 --> 01:06:16,920
Speaker 1: audience by telling the truth. If doctor Fauci saw someone

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01:06:16,960 --> 01:06:21,600
Speaker 1: who said something asking him a question or said an opinion,

1076
01:06:21,920 --> 01:06:25,840
Speaker 1: who is an expert in infectious diseases and he didn't

1077
01:06:25,840 --> 01:06:28,840
Speaker 1: like it, they would reach out to big tech and

1078
01:06:28,960 --> 01:06:34,120
Speaker 1: just shut it down. They would just straight up silence it, folks.

1079
01:06:35,280 --> 01:06:39,000
Speaker 1: They would say, this is it, goodbye, see you later.

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01:06:40,480 --> 01:06:46,320
Speaker 1: That's the reality of the situation. That's what actually happened.

1081
01:06:47,280 --> 01:06:52,000
Speaker 1: There's no conspiracy theory here. This is America under the

1082
01:06:52,040 --> 01:06:56,600
Speaker 1: Democrats and their regime and the big tech regime. This

1083
01:06:56,920 --> 01:07:00,280
Speaker 1: is what was happening with those in the media. And

1084
01:07:00,440 --> 01:07:04,760
Speaker 1: notice now how they're not touching the story. Google's doing

1085
01:07:04,760 --> 01:07:09,440
Speaker 1: it with your emails, Twitter and Facebook, we're doing it

1086
01:07:09,520 --> 01:07:13,400
Speaker 1: as well. YouTube is doing it with people that put

1087
01:07:13,480 --> 01:07:18,600
Speaker 1: up conservative content. We're supposed to be the freest country

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01:07:18,640 --> 01:07:21,800
Speaker 1: in the world. We're supposed to be the greatest country

1089
01:07:21,880 --> 01:07:24,840
Speaker 1: in the world. We're supposed to be a beacon of

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01:07:24,880 --> 01:07:28,520
Speaker 1: what freedom of speech looks like and feels like. That's

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01:07:28,560 --> 01:07:33,800
Speaker 1: what we're supposed to be. And in reality, Donald Trump

1092
01:07:33,840 --> 01:07:37,760
Speaker 1: and every single thing that he said about his being silenced,

1093
01:07:38,120 --> 01:07:42,200
Speaker 1: about him being censored, about the system being rigged, he

1094
01:07:42,320 --> 01:07:44,880
Speaker 1: was right on all of it. About being spied on,

1095
01:07:45,160 --> 01:07:49,680
Speaker 1: about the swamp, about the deep state, he was right

1096
01:07:49,720 --> 01:07:53,040
Speaker 1: on all of it. Never forget Kaylee McKinney's personal account

1097
01:07:53,080 --> 01:07:55,560
Speaker 1: was shut down on Twitter. Why we know this now

1098
01:07:55,840 --> 01:08:00,000
Speaker 1: because Democrats said so, Donald Trump loses Twitter account? Why because,

1099
01:08:00,000 --> 01:08:04,840
Speaker 1: as Michelle Obama says, do it. That's why. That's why

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01:08:04,920 --> 01:08:09,080
Speaker 1: all of this happened, every single bit of it was

1101
01:08:09,160 --> 01:08:12,720
Speaker 1: because of what I just said. We're going to cover

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01:08:12,760 --> 01:08:16,439
Speaker 1: this all week on our podcasts, so make sure you

1103
01:08:16,520 --> 01:08:20,479
Speaker 1: hit that subscribe auto download button on our podcast download

1104
01:08:20,520 --> 01:08:24,800
Speaker 1: the Ben Ferguson Podcasts, share it with your family and

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01:08:24,960 --> 01:08:27,599
Speaker 1: your friends, and I'll see you back here tomorrow