1 00:00:00,400 --> 00:00:04,600 Speaker 1: Forget shadow banning. That is what many conservatives thought were 2 00:00:04,640 --> 00:00:08,680 Speaker 1: happening to them on Twitter, and I'm sure now at Facebook, 3 00:00:08,720 --> 00:00:13,600 Speaker 1: Google and YouTube, well now we are have been vindicated. 4 00:00:13,920 --> 00:00:17,960 Speaker 1: For years and years, conservatives like myself have said that 5 00:00:18,000 --> 00:00:21,080 Speaker 1: we have been shadow band What does shadow banning mean? 6 00:00:21,160 --> 00:00:23,560 Speaker 1: It means, yes, you're on a platform like Twitter, but 7 00:00:23,640 --> 00:00:26,800 Speaker 1: you don't really exist. Your tweets aren't shown to other people, 8 00:00:27,320 --> 00:00:30,159 Speaker 1: and it is impossible for what you tweet out to 9 00:00:30,240 --> 00:00:33,680 Speaker 1: actually go viral. In other words, they're saying, we don't 10 00:00:33,680 --> 00:00:37,280 Speaker 1: like what you're saying, so we're gonna suppress what you're saying. 11 00:00:37,760 --> 00:00:40,840 Speaker 1: Big tree falls in the forest, no one's around. Did 12 00:00:40,840 --> 00:00:45,479 Speaker 1: it actually make a sound? We'll forget shadow banning. It 13 00:00:45,640 --> 00:00:49,080 Speaker 1: was worse than what we even thought. Now Twitter we 14 00:00:49,200 --> 00:00:54,040 Speaker 1: know had an entire blacklist, and I am assuming, based 15 00:00:54,040 --> 00:00:56,640 Speaker 1: on what we have seen over the last twenty four hours, 16 00:00:56,640 --> 00:01:01,960 Speaker 1: that I and many other conservatives are on the list. 17 00:01:02,440 --> 00:01:07,680 Speaker 1: The second installment of the Twitter files revealing Twitter's secret blacklists, 18 00:01:08,200 --> 00:01:11,840 Speaker 1: was dropped on Thursday night. Not too long after taking 19 00:01:11,880 --> 00:01:16,080 Speaker 1: over Twitter, billionaire Elon Muss pledged to release the documents 20 00:01:16,080 --> 00:01:21,400 Speaker 1: showing how under the company's previous ownership Twitter engaged in 21 00:01:21,440 --> 00:01:25,479 Speaker 1: the suppression of free speech. These ree documents are now 22 00:01:25,520 --> 00:01:30,119 Speaker 1: referred to as the quote Twitter files. We have known 23 00:01:30,200 --> 00:01:33,720 Speaker 1: now for quite some time that conservatives went from having 24 00:01:34,240 --> 00:01:38,560 Speaker 1: the normal ability to reach people to being completely silenced 25 00:01:39,640 --> 00:01:44,160 Speaker 1: on the platform. We saw big stories that were silenced. 26 00:01:44,160 --> 00:01:47,320 Speaker 1: We saw big things like the Hunter Biden laptop story 27 00:01:47,400 --> 00:01:49,360 Speaker 1: be banned from being able to be used and even 28 00:01:49,400 --> 00:01:52,600 Speaker 1: shared in private messaging. We saw Twitter, and we know 29 00:01:52,680 --> 00:01:55,520 Speaker 1: this for a fact now they treated people that shared 30 00:01:55,520 --> 00:01:57,840 Speaker 1: the Hunter Biden story the same way they treated people 31 00:01:57,840 --> 00:02:01,880 Speaker 1: who shared child pornography. That's how much they were tipping 32 00:02:01,880 --> 00:02:06,120 Speaker 1: the scales. Now Elon Musk has just tweeted out that 33 00:02:06,280 --> 00:02:09,839 Speaker 1: quote Twitter is working on a software update that will 34 00:02:09,880 --> 00:02:14,040 Speaker 1: show your true accounts status, so you know clearly if 35 00:02:14,040 --> 00:02:19,880 Speaker 1: you've been shadow band This is going to rock the 36 00:02:20,040 --> 00:02:24,200 Speaker 1: world because you're going to see just how much the 37 00:02:24,320 --> 00:02:29,840 Speaker 1: information was being suppressed by big tech. Now, not only 38 00:02:29,880 --> 00:02:33,160 Speaker 1: did Elon Musk's pledge to release the documents, but we're 39 00:02:33,160 --> 00:02:36,679 Speaker 1: now getting names. These files have been shared with two 40 00:02:36,840 --> 00:02:42,040 Speaker 1: independent journalists. We saw the first installment that came out 41 00:02:42,040 --> 00:02:45,480 Speaker 1: on December the second, and it covered details surrounding Twitter 42 00:02:45,520 --> 00:02:49,239 Speaker 1: suppression of the Hunter Biden laptop scandal. In his first 43 00:02:49,280 --> 00:02:53,320 Speaker 1: tweet of the Twitter Files Part two, this journalist White 44 00:02:53,360 --> 00:02:57,119 Speaker 1: revealed that the entire teams of Twitter employees actually put 45 00:02:57,160 --> 00:03:00,760 Speaker 1: together their own blacklists and in order to suppress and 46 00:03:00,840 --> 00:03:04,720 Speaker 1: shadow bann the reach of certain accounts, virtually all of 47 00:03:04,760 --> 00:03:08,840 Speaker 1: them conservative. Something of shadow banning, again, is the practice 48 00:03:08,840 --> 00:03:13,240 Speaker 1: of suppressing a user on a platform, or a user 49 00:03:13,720 --> 00:03:18,079 Speaker 1: and the information that they're putting out there. It's that simple, Twitter, 50 00:03:18,200 --> 00:03:20,280 Speaker 1: What they were doing was actually much worse than that. 51 00:03:20,639 --> 00:03:23,120 Speaker 1: This was no, by the way, small operation or some 52 00:03:23,280 --> 00:03:28,120 Speaker 1: rogue employee. There are lists and lists and lists, blacklists 53 00:03:28,120 --> 00:03:32,079 Speaker 1: of whole groups of people who Twitter simply decided to 54 00:03:32,160 --> 00:03:36,360 Speaker 1: crush and liberal. Former New York Times reporter Why says 55 00:03:36,440 --> 00:03:40,640 Speaker 1: that politics was driving at least part of the operation, 56 00:03:40,800 --> 00:03:43,320 Speaker 1: if not all of it. Let me give you an example. 57 00:03:44,040 --> 00:03:49,880 Speaker 1: One such blacklist user was a Stanford professor. This professor 58 00:03:50,440 --> 00:03:55,360 Speaker 1: had argued that COVID lockdowns were incredibly detrimental to young children, 59 00:03:56,000 --> 00:03:58,520 Speaker 1: an argument that later turned out to be one hundred 60 00:03:58,560 --> 00:04:02,280 Speaker 1: percent correct. Because of this, the professor was put on 61 00:04:02,320 --> 00:04:06,480 Speaker 1: a Trends blacklist, which suppressed the reach of all of 62 00:04:06,480 --> 00:04:11,320 Speaker 1: his tweets indefinitely. This essentially prevented this professor from ever 63 00:04:11,480 --> 00:04:14,240 Speaker 1: trending and the truth that he was telling or the 64 00:04:14,360 --> 00:04:20,080 Speaker 1: questions he was asking from being seen by the masses. Additionally, 65 00:04:20,360 --> 00:04:23,400 Speaker 1: we now know that Life's revealed that conservative talk shows 66 00:04:23,480 --> 00:04:26,240 Speaker 1: Dan biden Gino, a friend of mine, had also been 67 00:04:26,279 --> 00:04:30,280 Speaker 1: placed on a search blacklist. What is a search blacklist? 68 00:04:30,320 --> 00:04:32,039 Speaker 1: It means that you could search for him, but you 69 00:04:32,080 --> 00:04:36,600 Speaker 1: couldn't find him. We also now know that conservative activists, 70 00:04:36,600 --> 00:04:39,520 Speaker 1: also a friend of mine, Charlie Kirk, had been placed 71 00:04:39,520 --> 00:04:43,640 Speaker 1: on a do not Amplify amplify blacklist after he became 72 00:04:43,640 --> 00:04:48,400 Speaker 1: one of the most engaging Twitter accounts on the entire platform. 73 00:04:49,080 --> 00:04:51,200 Speaker 1: I want you to hear, by the way, what Dan 74 00:04:51,279 --> 00:04:56,400 Speaker 1: Bongino had to say to Sean Hannity reacting to the 75 00:04:56,400 --> 00:04:58,479 Speaker 1: news that he was put on a blacklist where you 76 00:04:58,480 --> 00:05:00,560 Speaker 1: couldn't find him. And by the way, when he saying this, 77 00:05:01,279 --> 00:05:04,640 Speaker 1: for years people said he was a kuk, a conspiracy theorists, 78 00:05:04,680 --> 00:05:07,920 Speaker 1: a crazy and nut job. Back to his words here, 79 00:05:08,200 --> 00:05:11,160 Speaker 1: and he said, the media is complicit and they were 80 00:05:11,279 --> 00:05:14,240 Speaker 1: lying to the American public. They spent a total of 81 00:05:14,360 --> 00:05:18,480 Speaker 1: seven seconds this weekend on the Sunday programs talking about 82 00:05:18,480 --> 00:05:23,279 Speaker 1: this huge story that broke last Friday, or Elon Musk 83 00:05:23,360 --> 00:05:28,760 Speaker 1: himself saying, if you shut down dissenting voices, it is, 84 00:05:28,800 --> 00:05:34,000 Speaker 1: by its very definition, election interference. He even admitted that 85 00:05:34,839 --> 00:05:39,160 Speaker 1: Twitter was acting as the propaganda arm of the Democratic 86 00:05:39,279 --> 00:05:43,840 Speaker 1: Party in this election. Election interference. Now we're not even 87 00:05:43,839 --> 00:05:48,359 Speaker 1: including Meadow or Facebook called Zuckerberg. We're not including Google, 88 00:05:48,360 --> 00:05:52,080 Speaker 1: we're not including Apple, we're not including YouTube. And I 89 00:05:52,120 --> 00:05:56,680 Speaker 1: think that Congress needs to demand that they become as 90 00:05:56,720 --> 00:06:00,560 Speaker 1: transparent as Elon Musk has been come here, and I 91 00:06:00,560 --> 00:06:04,360 Speaker 1: give him a lot of credit for this. Yeah, listen 92 00:06:04,560 --> 00:06:06,920 Speaker 1: um to Elon Musk. I don't know if you're watching 93 00:06:07,040 --> 00:06:10,440 Speaker 1: or not, but if you see it later, just a 94 00:06:10,560 --> 00:06:13,680 Speaker 1: heartfelt thank you. You know, I was talking to our 95 00:06:13,720 --> 00:06:16,480 Speaker 1: good friend Mark Levin before and his great radio show 96 00:06:17,000 --> 00:06:21,240 Speaker 1: and already said the same thing. Regardless of yeah, thank um, 97 00:06:21,520 --> 00:06:24,400 Speaker 1: you know, Sean, regardless of what happens, we look forward. Dan. 98 00:06:24,480 --> 00:06:26,720 Speaker 1: You gotta love Mark. He's the best guest. He's the 99 00:06:26,760 --> 00:06:30,359 Speaker 1: only one that tells you that's it, I'm done, go ahead. 100 00:06:30,480 --> 00:06:32,720 Speaker 1: I know. Hell when he's when you're when you're called 101 00:06:32,760 --> 00:06:34,440 Speaker 1: the great one, you can do that kind of Stuff's 102 00:06:34,480 --> 00:06:36,280 Speaker 1: why you know you get heart of Mark. But when 103 00:06:36,320 --> 00:06:39,760 Speaker 1: Elon Musk, you know, well, regardless of what happens, he 104 00:06:39,880 --> 00:06:43,440 Speaker 1: may lose legitimately may lose billions of dollars on this acquisition. 105 00:06:43,480 --> 00:06:45,440 Speaker 1: I don't think he will. I think he's a creative guy, 106 00:06:45,640 --> 00:06:47,200 Speaker 1: and I think he's gonna build this thing out to 107 00:06:47,279 --> 00:06:49,839 Speaker 1: be something special. But he has done a service to 108 00:06:49,920 --> 00:06:54,239 Speaker 1: this country. He had He has literally, not figuratively, changed 109 00:06:54,240 --> 00:06:56,479 Speaker 1: the history of I think how big tech is going 110 00:06:56,520 --> 00:06:59,440 Speaker 1: to operate moving forward. He's exposed one key point. I 111 00:06:59,520 --> 00:07:02,320 Speaker 1: want the audio. It's understandings that what the press did 112 00:07:02,640 --> 00:07:06,400 Speaker 1: to collude and interfere and potentially fleeced the twenty twenty 113 00:07:06,400 --> 00:07:10,200 Speaker 1: election away from Donald Trump based on based on solid 114 00:07:10,320 --> 00:07:13,520 Speaker 1: data a polling taken afterwards about how people would have 115 00:07:13,600 --> 00:07:15,679 Speaker 1: voted if they would have known about the hunter Biden's story, 116 00:07:15,760 --> 00:07:17,960 Speaker 1: But not get into any other stuff. I'm talking strictly 117 00:07:18,000 --> 00:07:22,440 Speaker 1: about that the media intentionally did that. Sean, This is 118 00:07:22,480 --> 00:07:26,400 Speaker 1: my point. This wasn't misfeasance, right. Misfeasance is different. You 119 00:07:26,440 --> 00:07:28,200 Speaker 1: see someone trip on the sidewalk in front of you you, 120 00:07:28,320 --> 00:07:31,800 Speaker 1: you don't help him. That's misfeasance. That's not what this was. 121 00:07:32,320 --> 00:07:35,680 Speaker 1: This was malfeasance. A guy trips on the sidewalk in 122 00:07:35,720 --> 00:07:38,000 Speaker 1: front of you and you kick him in the teeth 123 00:07:38,000 --> 00:07:41,800 Speaker 1: as he's getting up. They did this on purpose. This 124 00:07:42,000 --> 00:07:46,480 Speaker 1: was active collusion between the FBI, people in the DHS, 125 00:07:46,760 --> 00:07:49,800 Speaker 1: the d NI people at the FEC who had heard 126 00:07:49,800 --> 00:07:53,360 Speaker 1: about this stuff, Twitter, and big tech to steal away 127 00:07:53,400 --> 00:07:55,720 Speaker 1: your country. And you know what, listen to me, folks. 128 00:07:56,000 --> 00:07:59,320 Speaker 1: They did it, and Elon Musk is trying to help 129 00:07:59,360 --> 00:08:02,640 Speaker 1: you get it back to the Republicans in Congress who 130 00:08:02,760 --> 00:08:05,560 Speaker 1: now about to take over in January, you better grow 131 00:08:05,640 --> 00:08:08,520 Speaker 1: some moose nuts and you better do something about this, 132 00:08:08,760 --> 00:08:11,200 Speaker 1: or we're not going to have a damn country left. 133 00:08:11,240 --> 00:08:14,200 Speaker 1: This is the public square. I love Fox News and 134 00:08:14,200 --> 00:08:16,680 Speaker 1: I love working here, but Sean, even though we have 135 00:08:16,800 --> 00:08:19,880 Speaker 1: the biggest shows in primetime, it's still just a small 136 00:08:19,960 --> 00:08:23,560 Speaker 1: population of America. We cannot win an election in the 137 00:08:23,600 --> 00:08:27,480 Speaker 1: future with just Fox News. You need Twitter to be open, 138 00:08:27,720 --> 00:08:31,160 Speaker 1: you need Facebook to be open, you need these other platforms. 139 00:08:31,240 --> 00:08:33,959 Speaker 1: It's why I put my money behind these other things too, because, 140 00:08:34,000 --> 00:08:36,800 Speaker 1: like you said, I'm trying to build this parallel economy 141 00:08:36,840 --> 00:08:39,160 Speaker 1: out Maybe that's why I'm public enemy number one to 142 00:08:39,240 --> 00:08:41,720 Speaker 1: these guys showing I don't know, but I'm telling you. 143 00:08:41,760 --> 00:08:43,640 Speaker 1: I promise the audience I don't whine about it every 144 00:08:43,720 --> 00:08:46,080 Speaker 1: day on my show because I'm not a snowflake. You 145 00:08:46,160 --> 00:08:48,800 Speaker 1: have no idea what goes on behind the scenes with 146 00:08:48,960 --> 00:08:53,079 Speaker 1: Facebook fact checking my page over nonsense, Google banning US, 147 00:08:53,240 --> 00:08:57,400 Speaker 1: YouTube banning US, Twitter shadow banning US. It's relentless. It 148 00:08:57,480 --> 00:09:00,600 Speaker 1: never stops. They have put a guitar get on my 149 00:09:00,640 --> 00:09:03,400 Speaker 1: back for a long time now. Dan Bongino is right, 150 00:09:03,480 --> 00:09:06,360 Speaker 1: by the way, He's absolutely right what's happening. And he's 151 00:09:06,360 --> 00:09:08,920 Speaker 1: not the only one that was affected this way. One 152 00:09:08,960 --> 00:09:10,920 Speaker 1: of the other people that was affected in a major 153 00:09:11,000 --> 00:09:13,760 Speaker 1: way that is a name, a man by the name 154 00:09:13,760 --> 00:09:16,280 Speaker 1: of Charlie Kirk. Now, Charlie Kirk had a very active 155 00:09:16,360 --> 00:09:21,560 Speaker 1: Twitter account. He had a massive amount of engagement at Twitter. 156 00:09:22,200 --> 00:09:24,480 Speaker 1: And the reason why he had that engage is because 157 00:09:24,520 --> 00:09:27,000 Speaker 1: he was connecting with young people and conservatives and they 158 00:09:27,080 --> 00:09:29,280 Speaker 1: was trying to build a conservative base to fight back 159 00:09:29,280 --> 00:09:33,160 Speaker 1: against liberals and schools and colleges, woke professors and all 160 00:09:33,559 --> 00:09:36,800 Speaker 1: that they were involved in in public education. He was 161 00:09:36,840 --> 00:09:41,400 Speaker 1: taking on universities around the country and these Twitter Bomb 162 00:09:41,679 --> 00:09:46,680 Speaker 1: Shelf Files Part two prove what all conservatives have long 163 00:09:46,800 --> 00:09:49,239 Speaker 1: been not just suspected of it, but had been accusing 164 00:09:49,320 --> 00:09:52,160 Speaker 1: Twitter and big tech of doing. You get on a list, 165 00:09:52,240 --> 00:09:54,199 Speaker 1: and I believe I was on this list because our 166 00:09:54,240 --> 00:09:57,960 Speaker 1: Twitter reach just died overnight. We went from a half 167 00:09:58,000 --> 00:10:00,880 Speaker 1: million followers to one hundred and twenty something thousand, and 168 00:10:00,880 --> 00:10:03,760 Speaker 1: it didn't move for four years. And a tweet for 169 00:10:03,840 --> 00:10:05,400 Speaker 1: us would be a good tweet if it got ten 170 00:10:05,480 --> 00:10:10,319 Speaker 1: people that retweeted it. Ten people, that's it. Charlie Kirk 171 00:10:10,360 --> 00:10:13,760 Speaker 1: found out he was targeted. All of his suspicions were true. Right, 172 00:10:13,800 --> 00:10:16,559 Speaker 1: he was a conspiracy theorist. No, no, no, he wasn't 173 00:10:16,559 --> 00:10:19,439 Speaker 1: a conspiracy theorist because he saw it in real time, 174 00:10:19,520 --> 00:10:22,640 Speaker 1: just like I did. Charlie Kirk is someone else who 175 00:10:22,679 --> 00:10:25,760 Speaker 1: apparently was censored by Twitter, as the founder in president 176 00:10:25,760 --> 00:10:28,960 Speaker 1: of Turning Point USA. We just told you that. Barry 177 00:10:28,960 --> 00:10:31,840 Speaker 1: Wie a few moments ago reported that internally Twitter censors 178 00:10:31,840 --> 00:10:35,880 Speaker 1: set Charlie Kirk's account to do not amplify status. Charlie 179 00:10:35,920 --> 00:10:39,000 Speaker 1: Kirk joins us right now, Charlie, thanks so much for 180 00:10:39,120 --> 00:10:42,280 Speaker 1: coming on. You're just hearing this too. I mean, this 181 00:10:42,480 --> 00:10:45,199 Speaker 1: just happened. This is happening in fact as we talk 182 00:10:45,240 --> 00:10:48,880 Speaker 1: about it. But do you have any idea which of 183 00:10:48,920 --> 00:10:55,959 Speaker 1: your tweets set this censorship in motion? I could probably guess. 184 00:10:56,080 --> 00:10:57,719 Speaker 1: You know, a couple of years ago, Axios did a 185 00:10:57,800 --> 00:11:01,120 Speaker 1: study that showed that our Twitter account had was the 186 00:11:01,120 --> 00:11:03,440 Speaker 1: fourth most engaged Twitter account on the planet, right up 187 00:11:03,440 --> 00:11:05,600 Speaker 1: there with President Trump. I mean, I've been using Twitter 188 00:11:05,640 --> 00:11:08,400 Speaker 1: for a decade. Happened to understand it really well, and 189 00:11:08,440 --> 00:11:11,520 Speaker 1: we were averaging one hundred and fifteen thousand retweets a 190 00:11:11,679 --> 00:11:14,120 Speaker 1: day when we were really at our peak, and we 191 00:11:14,160 --> 00:11:16,800 Speaker 1: would talk about, for example, in the midst of the virus, 192 00:11:16,800 --> 00:11:19,400 Speaker 1: how lockdowns might not be the best decision. We started 193 00:11:19,440 --> 00:11:21,280 Speaker 1: talking about how hey, I asked the question, are there 194 00:11:21,280 --> 00:11:22,959 Speaker 1: other treatments that we might want to talk about? So 195 00:11:23,000 --> 00:11:24,720 Speaker 1: it could have been that. But then all of a sudden, 196 00:11:24,760 --> 00:11:28,719 Speaker 1: we saw off a cliff. Almost immediately, our engagement, our 197 00:11:28,760 --> 00:11:32,600 Speaker 1: retweets disappear. I started to talk about this a lot, Tucker, 198 00:11:32,600 --> 00:11:35,280 Speaker 1: and I was called the conspiracy theorist. I was smeared 199 00:11:35,640 --> 00:11:40,160 Speaker 1: and I started the email crazy, yes exactly, well you're 200 00:11:40,400 --> 00:11:41,839 Speaker 1: quot on. I'm like, wait, hold on a second. I 201 00:11:41,960 --> 00:11:44,160 Speaker 1: used to get one hundred fifteen thousand retweets, and then 202 00:11:44,240 --> 00:11:46,040 Speaker 1: it's kind of one of those things, right Tucker, where 203 00:11:46,240 --> 00:11:48,319 Speaker 1: they convince you to stop talking about it because you 204 00:11:48,400 --> 00:11:50,320 Speaker 1: sound like, Okay, who cares about your Twitter account? Not 205 00:11:50,360 --> 00:11:54,239 Speaker 1: a big deal. And now you see actual verified documents 206 00:11:54,280 --> 00:11:59,160 Speaker 1: where my Twitter account was labeled as do not amplify NSFW, 207 00:11:59,200 --> 00:12:01,800 Speaker 1: which I could only in FIR means not safe for work, 208 00:12:02,440 --> 00:12:06,199 Speaker 1: other like threat tags. They're treating my Twitter account with 209 00:12:06,240 --> 00:12:10,560 Speaker 1: more scrutiny and censorship than the Prime Minister of Iran 210 00:12:11,240 --> 00:12:16,000 Speaker 1: than hamas the people that do actual terroristic type damage. 211 00:12:16,280 --> 00:12:18,439 Speaker 1: And now we have evidence to show that's exactly why 212 00:12:18,480 --> 00:12:20,000 Speaker 1: my Twitter A count the last couple of years has 213 00:12:20,000 --> 00:12:23,920 Speaker 1: been down ninety five percent in engagement. They saw what 214 00:12:24,000 --> 00:12:26,319 Speaker 1: I had to say as a direct threat to the regime. 215 00:12:27,120 --> 00:12:29,440 Speaker 1: You think about what Charlie Kirk just said there about 216 00:12:29,520 --> 00:12:33,600 Speaker 1: he has a Twitter account that is silenced. But the 217 00:12:33,760 --> 00:12:39,800 Speaker 1: terrorists in al Qaeda, in the Taliban, in Iran, they 218 00:12:40,040 --> 00:12:43,760 Speaker 1: don't have their tweets silence or censored. The regime in 219 00:12:43,880 --> 00:12:47,520 Speaker 1: China and in Russia do not have their tweets silence 220 00:12:47,559 --> 00:12:50,520 Speaker 1: because if you went after any of them, and you 221 00:12:50,679 --> 00:12:52,720 Speaker 1: silenced them. Then they would in that country say fine, 222 00:12:52,720 --> 00:12:54,560 Speaker 1: we're going to ban the terms of use of service 223 00:12:54,559 --> 00:12:57,360 Speaker 1: on Twitter. Don't think China wouldn't do that in one second. 224 00:12:58,120 --> 00:13:00,880 Speaker 1: But in America, Charlie Kirk could only do what I did, right, 225 00:13:01,080 --> 00:13:03,840 Speaker 1: I know I'm being censored, and they say, oh, you're 226 00:13:03,840 --> 00:13:07,480 Speaker 1: a conspiracy theorist. And remember they also lied about this. 227 00:13:08,679 --> 00:13:12,440 Speaker 1: I really want to go back and remind you what 228 00:13:12,640 --> 00:13:17,480 Speaker 1: the head of Twitter said about this. Okay, the head 229 00:13:17,720 --> 00:13:22,120 Speaker 1: of Twitter said back in the day that there was 230 00:13:22,240 --> 00:13:25,880 Speaker 1: not shadow banning going on like this didn't happen. It 231 00:13:25,960 --> 00:13:29,800 Speaker 1: wasn't something that they would ever be doing, and if 232 00:13:29,840 --> 00:13:34,920 Speaker 1: you believed it, you were really considered to be crazy. Dorsey, 233 00:13:34,960 --> 00:13:37,480 Speaker 1: by the way, was also asked not just about shadow banning, 234 00:13:37,480 --> 00:13:41,199 Speaker 1: but also about censoring just in general, like censoring conservative, 235 00:13:41,280 --> 00:13:44,800 Speaker 1: censoring people. He's been lying about this for years When 236 00:13:44,840 --> 00:13:47,440 Speaker 1: he was a Twitter CEO. He went on the Today 237 00:13:47,559 --> 00:13:50,280 Speaker 1: Show in an exclusive interview. All right, and he went 238 00:13:50,320 --> 00:13:52,920 Speaker 1: on there with Matt Lower. This like two pis of 239 00:13:53,240 --> 00:13:55,760 Speaker 1: birds of a feather, you know, flock together, two peas 240 00:13:55,760 --> 00:13:57,800 Speaker 1: in a pod. I mean, this was the ideal person, right, 241 00:13:57,840 --> 00:14:01,679 Speaker 1: You got these two scumbags talking to the American people 242 00:14:01,760 --> 00:14:04,600 Speaker 1: and trying to make them believe that they don't shadow band, 243 00:14:04,600 --> 00:14:09,000 Speaker 1: they don't censor anyone. Listen. I sent tweet out yesterday 244 00:14:09,000 --> 00:14:11,960 Speaker 1: telling my followers, my measly number of followers that you 245 00:14:11,960 --> 00:14:14,559 Speaker 1: were going to be on and asking what questions they 246 00:14:14,600 --> 00:14:18,480 Speaker 1: would like you asked. There was an enormous outpouring of 247 00:14:18,600 --> 00:14:21,800 Speaker 1: questions about censorship. So let me ask you point blank. 248 00:14:22,320 --> 00:14:26,920 Speaker 1: Does Twitter censor the content of its users? Does it 249 00:14:27,120 --> 00:14:31,000 Speaker 1: hide what it would consider inflammatory comments, whether they be 250 00:14:31,360 --> 00:14:35,840 Speaker 1: social or political? Absolutely not, Twitter, absolutely not. Okay, all right, 251 00:14:35,920 --> 00:14:38,840 Speaker 1: so think about how long ago, how long ago it 252 00:14:38,960 --> 00:14:44,000 Speaker 1: was when Matt lower was the host of the Today's 253 00:14:44,000 --> 00:14:46,920 Speaker 1: Show years ago, now right, this was a long, long, 254 00:14:47,000 --> 00:14:50,520 Speaker 1: long time ago. And Jack Dorsey is there for this 255 00:14:50,640 --> 00:14:52,680 Speaker 1: one on one and he's asked, so you do this? 256 00:14:52,880 --> 00:14:55,360 Speaker 1: Absolutely not, and then he goes on to say this 257 00:14:55,440 --> 00:14:57,080 Speaker 1: and all this. He knows the lie at the time 258 00:14:57,080 --> 00:14:59,760 Speaker 1: he's doing it. There's always been about controls. People can 259 00:15:00,000 --> 00:15:02,320 Speaker 1: follow whoever they want, and it's hard job to make 260 00:15:02,360 --> 00:15:04,840 Speaker 1: sure they see the most the most important things and 261 00:15:05,280 --> 00:15:07,640 Speaker 1: the things that don't matter to them. So anybody can 262 00:15:07,720 --> 00:15:10,840 Speaker 1: say anything on Twitter. The company does not go in 263 00:15:10,880 --> 00:15:13,840 Speaker 1: there and take certain things out that can be dangerous. 264 00:15:14,120 --> 00:15:17,360 Speaker 1: But there's there's certainly tweets that promote violence, which is 265 00:15:17,400 --> 00:15:20,880 Speaker 1: against our terms of service. And people have controls to block, 266 00:15:20,960 --> 00:15:23,040 Speaker 1: and people have controls to mute. But what about the 267 00:15:23,040 --> 00:15:27,440 Speaker 1: company who decides the difference between criticism and hate. These 268 00:15:28,000 --> 00:15:30,040 Speaker 1: are the individuals. So you can follow who you want, 269 00:15:30,080 --> 00:15:32,280 Speaker 1: and if it's something you want to see, you continue 270 00:15:32,320 --> 00:15:36,200 Speaker 1: to follow it. So he was lying. While he was 271 00:15:36,240 --> 00:15:40,360 Speaker 1: saying this, he had hundreds of employees every day dealing 272 00:15:40,400 --> 00:15:42,960 Speaker 1: with thousands of requests, some of them from government officials, 273 00:15:43,040 --> 00:15:44,680 Speaker 1: some of it from the Deep States, some of it 274 00:15:44,720 --> 00:15:48,640 Speaker 1: from the Democratic National Committee, some of it from elected officials, 275 00:15:48,640 --> 00:15:51,960 Speaker 1: some of it from journalists, some of it from liberals 276 00:15:52,000 --> 00:15:55,280 Speaker 1: who worked with conservatives who were sending notes to Twitter saying, hey, 277 00:15:55,320 --> 00:15:58,080 Speaker 1: can you ban this guy? That's where I come in here. 278 00:15:58,600 --> 00:16:01,720 Speaker 1: I have no doubt that I was silenced by Twitter 279 00:16:02,280 --> 00:16:05,080 Speaker 1: and Facebook during the same week when I got my 280 00:16:05,160 --> 00:16:07,880 Speaker 1: first chance to host a show for an entire week. 281 00:16:08,400 --> 00:16:11,640 Speaker 1: I have no doubt that the hit piece that was 282 00:16:11,720 --> 00:16:14,320 Speaker 1: done on me by Media Matters was done at the 283 00:16:14,360 --> 00:16:16,960 Speaker 1: same time when they silenced and started shutting me down 284 00:16:16,960 --> 00:16:20,080 Speaker 1: on Facebook, and Twitter at the same time. And my 285 00:16:20,240 --> 00:16:23,040 Speaker 1: Twitter and Facebook accounts have never been the same since 286 00:16:23,080 --> 00:16:26,000 Speaker 1: that week when I went on to host a show 287 00:16:26,160 --> 00:16:28,160 Speaker 1: at CNN for an entire week. Now, why would they 288 00:16:28,200 --> 00:16:30,000 Speaker 1: do that to me? During that week, I'll tell you why. 289 00:16:30,520 --> 00:16:32,320 Speaker 1: There was too many liberals at CNN that didn't want 290 00:16:32,360 --> 00:16:34,520 Speaker 1: them to see me succeed much. Let's host a TV show, 291 00:16:35,320 --> 00:16:37,200 Speaker 1: And that was the week when Media Matters came out 292 00:16:37,200 --> 00:16:39,400 Speaker 1: and started pounding me because they wanted to get rid 293 00:16:39,440 --> 00:16:41,400 Speaker 1: of me. Now, I believe that would probably came from 294 00:16:41,480 --> 00:16:44,440 Speaker 1: internally at CNN. There was too many liberals there that said, 295 00:16:44,520 --> 00:16:47,600 Speaker 1: this is too scary Ben Ferguson possibly doing a TV 296 00:16:47,680 --> 00:16:49,840 Speaker 1: show and getting ratings that could turn into something. We 297 00:16:49,920 --> 00:16:51,760 Speaker 1: got to make sure that number one, he can't reach 298 00:16:51,800 --> 00:16:54,160 Speaker 1: his followers on Twitter at the time that were like 299 00:16:54,200 --> 00:16:57,120 Speaker 1: a half million and Facebook, and then we're gonna put 300 00:16:57,160 --> 00:16:59,320 Speaker 1: out this Media Matters article on him to attack him, 301 00:16:59,320 --> 00:17:01,720 Speaker 1: so maybe the him off the air. That's how these 302 00:17:01,760 --> 00:17:04,760 Speaker 1: people work. And I have no doubt in my mind 303 00:17:04,880 --> 00:17:09,800 Speaker 1: since that date, my Twitter account has been in essence worthless. 304 00:17:09,800 --> 00:17:12,560 Speaker 1: And we're gonna find this out because elon Mosca Sat 305 00:17:12,680 --> 00:17:14,240 Speaker 1: he's going to give out all the names of all 306 00:17:14,240 --> 00:17:18,880 Speaker 1: the people that had been silenced. But when Jack Dorsey 307 00:17:19,000 --> 00:17:21,959 Speaker 1: was doing this interview that I just played for you, 308 00:17:22,040 --> 00:17:24,639 Speaker 1: he knew he was lying to you, and he knew 309 00:17:24,680 --> 00:17:27,800 Speaker 1: that he was telling you something that was that was laughable. 310 00:17:27,800 --> 00:17:30,840 Speaker 1: And the people within Twitter were probably dying, laughing, nie 311 00:17:30,880 --> 00:17:33,879 Speaker 1: slapping as they were watching the Today's Show, going can 312 00:17:33,920 --> 00:17:36,399 Speaker 1: you believe the power that we have? This is amazing. 313 00:17:37,240 --> 00:17:39,960 Speaker 1: He also lied again when he did a interview on 314 00:17:40,119 --> 00:17:42,600 Speaker 1: CNN with you know, mister potato head himself to do 315 00:17:42,720 --> 00:17:46,359 Speaker 1: that's been fired Brian Skelter, one of the scumbags at 316 00:17:46,400 --> 00:17:48,800 Speaker 1: CNN that would silence and censor people and tell his 317 00:17:48,920 --> 00:17:54,000 Speaker 1: friends in big tech to attack conservatives. This guy who 318 00:17:54,119 --> 00:17:57,040 Speaker 1: mocked Donald Trump asked the question about Trump like, hey, 319 00:17:57,080 --> 00:17:59,760 Speaker 1: Donald Trump says your shadow banning and silencing him, and 320 00:18:00,040 --> 00:18:03,640 Speaker 1: they're conservatives, And listen to Jack Dorsey's response to this question. 321 00:18:04,680 --> 00:18:07,879 Speaker 1: The President called you out for shadow banning. What is 322 00:18:07,920 --> 00:18:12,000 Speaker 1: the truth around that idea? So I think a lot 323 00:18:12,000 --> 00:18:15,000 Speaker 1: of the statements behind the statement and the question behind 324 00:18:15,040 --> 00:18:20,160 Speaker 1: the question is look, shadow banning is a very widely 325 00:18:20,280 --> 00:18:26,399 Speaker 1: defined term. There's not one single definition. So the definition 326 00:18:26,440 --> 00:18:29,200 Speaker 1: that we found that seems to resonate with the most people, 327 00:18:29,480 --> 00:18:34,639 Speaker 1: is you know, not amplifying particular messages, or if someone 328 00:18:34,680 --> 00:18:39,960 Speaker 1: puts out a tweet hiding that tweet from everyone without 329 00:18:40,000 --> 00:18:43,479 Speaker 1: that person who tweeted it knowing about it. But the 330 00:18:43,520 --> 00:18:47,760 Speaker 1: real question behind the question is are we doing something 331 00:18:47,800 --> 00:18:52,679 Speaker 1: according to political ideology or viewpoints? And we are not. Period. 332 00:18:53,040 --> 00:18:56,800 Speaker 1: We do not look at content with regards to political 333 00:18:56,920 --> 00:19:01,160 Speaker 1: viewpoint or ideology. We look at behavior. Let me ask 334 00:19:01,200 --> 00:19:04,600 Speaker 1: about specific questions. Has Twitter ever been involved in shadow 335 00:19:04,640 --> 00:19:10,360 Speaker 1: banning with regards to political viewpoint or ideology? We look 336 00:19:10,359 --> 00:19:13,600 Speaker 1: at behavior. So if my count is right in real 337 00:19:13,680 --> 00:19:16,720 Speaker 1: time as we're listening to this together, he just lied 338 00:19:16,720 --> 00:19:20,000 Speaker 1: to you in one response six times, six times he 339 00:19:20,080 --> 00:19:23,560 Speaker 1: knew that he was lying to you. Does Twitter silence people? Yes? 340 00:19:23,960 --> 00:19:27,040 Speaker 1: Do they do it based on their beliefs? Yes? Is 341 00:19:27,040 --> 00:19:32,080 Speaker 1: it attacking a conservative viewpoint? Yes? Is shadow banning happening 342 00:19:32,080 --> 00:19:35,600 Speaker 1: based on his definition? Absolutely? It was. He lies to 343 00:19:35,640 --> 00:19:38,719 Speaker 1: you and says, no, this never happened, when he obviously 344 00:19:38,760 --> 00:19:41,399 Speaker 1: knows yes, it does happen, and it happened hundreds of 345 00:19:41,400 --> 00:19:45,120 Speaker 1: times per day. Were there accounts that had massive reach 346 00:19:45,240 --> 00:19:48,080 Speaker 1: that all of a sudden that reach literally disappeared overnight 347 00:19:48,440 --> 00:19:51,960 Speaker 1: and you never got them off of the silencing status. 348 00:19:52,200 --> 00:19:55,439 Speaker 1: For years, they were indefinitely banned from being successful or 349 00:19:55,480 --> 00:19:59,040 Speaker 1: being seen on Twitter. Yes, he lied to you on 350 00:19:59,080 --> 00:20:00,720 Speaker 1: all of it, and he knew he was lying, because 351 00:20:00,880 --> 00:20:03,400 Speaker 1: we now know from the internal files that not only 352 00:20:03,520 --> 00:20:06,040 Speaker 1: was he did he know about this program at Twitter, 353 00:20:06,119 --> 00:20:08,080 Speaker 1: he was involved in it and a part of it. 354 00:20:08,640 --> 00:20:12,399 Speaker 1: He was in part of the decision making process. 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That's eight six six seven five 373 00:21:16,000 --> 00:21:20,119 Speaker 1: one two to one eight, or you can even download 374 00:21:20,160 --> 00:21:25,399 Speaker 1: their comprehensive goal guide at Legacy PM investments dot com. 375 00:21:25,600 --> 00:21:29,600 Speaker 1: That's Legacy PM Investments dot com. There was something else 376 00:21:29,640 --> 00:21:33,560 Speaker 1: that also happened. This was several years ago. There were 377 00:21:33,760 --> 00:21:37,280 Speaker 1: starting to be articles that were written and reviews that 378 00:21:37,320 --> 00:21:40,200 Speaker 1: were being written. You heard earlider Charlie Kirk mentioned Axios 379 00:21:40,240 --> 00:21:44,560 Speaker 1: did an expose about the silencing of their Twitter account 380 00:21:44,600 --> 00:21:46,639 Speaker 1: and did the dad and the research and the analysis 381 00:21:46,720 --> 00:21:48,479 Speaker 1: on all of it, and it was it was damning. 382 00:21:49,240 --> 00:21:52,440 Speaker 1: And so what happened was Big Tech was being accused 383 00:21:52,640 --> 00:21:55,440 Speaker 1: by virtually every talk show host that was significant in 384 00:21:55,480 --> 00:21:59,440 Speaker 1: the country of silencing them, shadow banning them. We were 385 00:21:59,520 --> 00:22:02,200 Speaker 1: hearing from listeners and callers that were calling in and 386 00:22:02,200 --> 00:22:05,200 Speaker 1: they were saying over and over again, Hey, we got 387 00:22:05,200 --> 00:22:07,920 Speaker 1: a problem here, like we can't find you. I can't 388 00:22:07,960 --> 00:22:13,400 Speaker 1: find your stuff, I can't find your information. We really 389 00:22:13,440 --> 00:22:16,639 Speaker 1: can't find out what's happening right now with you. And 390 00:22:17,119 --> 00:22:21,320 Speaker 1: and we're really concerned about this, right like like we're like, 391 00:22:21,359 --> 00:22:27,800 Speaker 1: we're genuinely concerned, and we started talking about it, and 392 00:22:27,840 --> 00:22:33,800 Speaker 1: then these organizations got smart. Facebook, for example, had an 393 00:22:33,840 --> 00:22:36,800 Speaker 1: emergency meeting. I had friends that were in this meeting. 394 00:22:36,800 --> 00:22:40,280 Speaker 1: They were flown out to California and given a briefing 395 00:22:40,320 --> 00:22:44,240 Speaker 1: on how basically, we're not censoring or silencing conservatives, we're 396 00:22:44,240 --> 00:22:47,720 Speaker 1: not shadow banning people. We want to work with you guys. 397 00:22:47,760 --> 00:22:50,240 Speaker 1: If you have any concerns, please call us. Yead yah yah. 398 00:22:50,280 --> 00:22:52,399 Speaker 1: This is when they were at least trying to fake it. Okay. 399 00:22:53,520 --> 00:22:55,960 Speaker 1: Twitter apparently did the same thing, and then they did 400 00:22:55,960 --> 00:22:59,919 Speaker 1: a pr kind of you know, move forward with this subject. 401 00:23:00,080 --> 00:23:03,640 Speaker 1: And what they did was they called prominent conservatives who 402 00:23:03,720 --> 00:23:06,600 Speaker 1: had large audience and they actually made themselves available to 403 00:23:06,640 --> 00:23:11,240 Speaker 1: do different interviews. Jack Dorsey for example, did this as well, 404 00:23:11,280 --> 00:23:14,560 Speaker 1: because they understood this could get sticky, so they needed 405 00:23:14,600 --> 00:23:16,560 Speaker 1: to go out there and just reassure the public we're 406 00:23:16,600 --> 00:23:20,080 Speaker 1: not really doing this, and then turn conservatives that were 407 00:23:20,080 --> 00:23:24,800 Speaker 1: being shadow into basically conspiracy theorist theorists right, qan On 408 00:23:24,920 --> 00:23:27,439 Speaker 1: and all that crazy they would they would label you. 409 00:23:27,560 --> 00:23:31,080 Speaker 1: Is it crazy for even implying they were doing this 410 00:23:31,119 --> 00:23:34,400 Speaker 1: because they were on the record on legitimate shows right 411 00:23:34,480 --> 00:23:40,920 Speaker 1: putting out this propaganda. Sean Hannity got one of these interviews. 412 00:23:41,920 --> 00:23:45,359 Speaker 1: I remember this, and this was the lies told to 413 00:23:45,400 --> 00:23:49,200 Speaker 1: Hannity during that time. Let me ask about specific questions 414 00:23:49,240 --> 00:23:52,679 Speaker 1: as Twitter ever been involved in shadow banning. We do 415 00:23:52,760 --> 00:23:57,960 Speaker 1: not shadow ban according to political ideology or viewpoint or content. 416 00:23:58,520 --> 00:24:01,840 Speaker 1: That's Jack Dorsey saying that to Sean Handy on Sean 417 00:24:01,920 --> 00:24:05,040 Speaker 1: Handy's TV show our radio show. I should say, we 418 00:24:05,119 --> 00:24:09,040 Speaker 1: do not shoutout Ampeele based on content political viewpoints. He's 419 00:24:09,160 --> 00:24:13,399 Speaker 1: lying to you, but he's doing this from a PR 420 00:24:13,480 --> 00:24:16,400 Speaker 1: firm perspective perfectly. Hey, we're gonna get you on China 421 00:24:16,400 --> 00:24:18,159 Speaker 1: Handy's show. And I'm sure Jack Dorsey's like, why the 422 00:24:18,200 --> 00:24:20,159 Speaker 1: hell am I going on his show? Because this is 423 00:24:20,200 --> 00:24:21,359 Speaker 1: going to be an issue if you don't go on 424 00:24:21,400 --> 00:24:24,040 Speaker 1: a show, go on a show and tell the conservative 425 00:24:24,040 --> 00:24:26,840 Speaker 1: world that we're just not doing this, and he did 426 00:24:26,840 --> 00:24:31,720 Speaker 1: it and he sold it. Period. We every model that 427 00:24:31,800 --> 00:24:34,480 Speaker 1: we have on the network is really looking at the 428 00:24:34,480 --> 00:24:37,879 Speaker 1: behaviors on the network. We take those behaviors as signals, 429 00:24:37,880 --> 00:24:39,960 Speaker 1: and I do want to point out that these signals 430 00:24:39,960 --> 00:24:44,520 Speaker 1: evolve minute like, minute by minute, hourly by hourly. These 431 00:24:44,520 --> 00:24:48,240 Speaker 1: are not scarlet permanent letters that people then take on 432 00:24:48,320 --> 00:24:50,879 Speaker 1: as a badge and will never be ranked high in 433 00:24:50,920 --> 00:24:54,359 Speaker 1: search or not allowed to trend or ranked high in conversation. 434 00:24:54,480 --> 00:24:57,199 Speaker 1: So these are models that are looking at behaviors and 435 00:24:58,080 --> 00:25:02,600 Speaker 1: behaviors of bad faith actors who intend to manipulate, distract, 436 00:25:02,680 --> 00:25:08,480 Speaker 1: divide a conversation. This is pathological line. You know you're 437 00:25:08,480 --> 00:25:10,880 Speaker 1: going to do an interview with Sean Handy. You know, 438 00:25:11,040 --> 00:25:13,000 Speaker 1: Sean Handy's going to ask you the question that he's 439 00:25:13,000 --> 00:25:15,800 Speaker 1: been talking about for months on end, with a massive 440 00:25:15,840 --> 00:25:19,640 Speaker 1: amount of evidence that you're silencing and shadow banning conservative 441 00:25:19,680 --> 00:25:22,680 Speaker 1: Twitter accounts so that you can interfere in our elections 442 00:25:22,680 --> 00:25:25,040 Speaker 1: in this country. And you go on there from a 443 00:25:25,119 --> 00:25:28,040 Speaker 1: PR perspective, a PR standpoint to kind of make the 444 00:25:28,080 --> 00:25:31,840 Speaker 1: story go away and you look like you're totally being transparent. 445 00:25:32,160 --> 00:25:34,720 Speaker 1: This is no different than the Ponzi scheme interviews that 446 00:25:34,760 --> 00:25:38,880 Speaker 1: were just being done by this guy with XTF recently. Right, 447 00:25:39,280 --> 00:25:43,040 Speaker 1: go on CNBC tell them everything's perfect, Tell them everything's fine. 448 00:25:43,240 --> 00:25:46,480 Speaker 1: Give hundreds of millions of dollars, become the second biggest 449 00:25:46,480 --> 00:25:49,600 Speaker 1: owner to the Democratic Party, and they'll let you do 450 00:25:49,720 --> 00:25:51,560 Speaker 1: your Ponzi scheme and look the other way as long 451 00:25:51,600 --> 00:25:53,679 Speaker 1: as you're on the team of the Democrats. That is 452 00:25:53,720 --> 00:25:57,840 Speaker 1: exactly what was happening here with Twitter. I'm sure with Facebook, Okay, 453 00:25:58,119 --> 00:26:01,440 Speaker 1: it's exactly what was happening just with Twitter, But Facebook 454 00:26:01,440 --> 00:26:05,080 Speaker 1: and Google and Apple and YouTube, they're all doing this. 455 00:26:05,960 --> 00:26:07,399 Speaker 1: But to look you in the eye and tell you, 456 00:26:07,440 --> 00:26:11,240 Speaker 1: no, no no, no, you're the crazy one, right you are. 457 00:26:11,760 --> 00:26:16,119 Speaker 1: You are the crazy one. We're not crazy, you're crazy. 458 00:26:16,720 --> 00:26:19,680 Speaker 1: You're the one that's paranoid. You're the one that's part 459 00:26:19,720 --> 00:26:21,679 Speaker 1: of qing on. In fact, let's just go back to 460 00:26:21,760 --> 00:26:25,600 Speaker 1: Congress for a second. Twitter ceo was testifying before a 461 00:26:25,640 --> 00:26:28,080 Speaker 1: House panel, and he knew that he was lying to 462 00:26:28,119 --> 00:26:30,600 Speaker 1: Congress when he was asked this question by a congressman 463 00:26:30,600 --> 00:26:32,920 Speaker 1: who then to the Twitter ceo. And this is his 464 00:26:33,080 --> 00:26:37,280 Speaker 1: response to this whole hearing. And the reason that Twitter, somehow, 465 00:26:37,320 --> 00:26:40,359 Speaker 1: with all the other social media platforms out there, got 466 00:26:40,359 --> 00:26:42,840 Speaker 1: the singular honor to sit in front of this committee 467 00:26:43,720 --> 00:26:48,359 Speaker 1: is because there's some implication that your site is trying 468 00:26:48,400 --> 00:26:52,600 Speaker 1: to sense their conservative voices on your platform. Now, when 469 00:26:52,640 --> 00:26:56,200 Speaker 1: you tried to explain the shadow banning, as I understand it, 470 00:26:56,880 --> 00:27:00,200 Speaker 1: you had a system where if people who were following 471 00:27:00,960 --> 00:27:06,199 Speaker 1: people had some behaviors that that was the trigger that 472 00:27:06,359 --> 00:27:09,239 Speaker 1: allowed that caused you to do the shadow banning. So 473 00:27:09,480 --> 00:27:12,280 Speaker 1: you were really like an equal opportunity shadow banner. Right, 474 00:27:12,320 --> 00:27:16,440 Speaker 1: You didn't just shadow band for conservative Republicans. You shadow 475 00:27:16,440 --> 00:27:20,520 Speaker 1: band six hundred thousand people across your entire platform, across 476 00:27:20,560 --> 00:27:24,520 Speaker 1: the globe who had people following them that had certain 477 00:27:24,560 --> 00:27:28,040 Speaker 1: behaviors that caused you to downgrade them coming up. Is 478 00:27:28,080 --> 00:27:30,440 Speaker 1: that correct? I love this. By the way, this is 479 00:27:30,480 --> 00:27:35,000 Speaker 1: a Democrat idiot from Pennsylvania Democrat congressman saying, well, if 480 00:27:35,040 --> 00:27:39,119 Speaker 1: there is shadow banning, it's not like you're just targeting conservatives. 481 00:27:39,119 --> 00:27:41,560 Speaker 1: Because this is when it got even worse for Twitter. Right, 482 00:27:42,000 --> 00:27:45,760 Speaker 1: Dorisey's there with his nose ring in probably you know, 483 00:27:45,880 --> 00:27:47,879 Speaker 1: just you know, I got finished smoking a ball and 484 00:27:47,880 --> 00:27:50,760 Speaker 1: he's and he's just kind of you know, he's before Congress, 485 00:27:50,800 --> 00:27:53,080 Speaker 1: but he doesn't really care because he knows that everybody's 486 00:27:53,119 --> 00:27:54,960 Speaker 1: doing this, and it's like, well, I'm not going down 487 00:27:55,000 --> 00:27:56,919 Speaker 1: as long as I own the company. Couldn't imagine at 488 00:27:56,920 --> 00:27:59,359 Speaker 1: this point when he's answering this question that Elon Musk 489 00:27:59,440 --> 00:28:03,320 Speaker 1: was gonna buy his company, right and in a hostile takeover. 490 00:28:03,400 --> 00:28:05,320 Speaker 1: He didn't imagine it would ever come out what they 491 00:28:05,359 --> 00:28:09,480 Speaker 1: were actually doing and shadow banning people. And there's Democrats like, well, 492 00:28:09,520 --> 00:28:11,560 Speaker 1: even if you did do this, you're doing it on 493 00:28:11,600 --> 00:28:14,240 Speaker 1: an issue, not on politics. You're not just picking three 494 00:28:14,280 --> 00:28:17,360 Speaker 1: conservatives and doing this to them. Now you're doing it's 495 00:28:17,359 --> 00:28:19,440 Speaker 1: one hundreds of thousands of people, right, all right? You 496 00:28:19,440 --> 00:28:21,399 Speaker 1: ready for the lie in front of Congress. Here it is. 497 00:28:22,359 --> 00:28:27,399 Speaker 1: So this was never targeted at conservative Republicans. This was 498 00:28:27,440 --> 00:28:30,200 Speaker 1: targeted to a group of six hundred thousand people because 499 00:28:30,440 --> 00:28:33,360 Speaker 1: of the people who followed them. And then you determined 500 00:28:33,400 --> 00:28:38,680 Speaker 1: that wasn't fair and you corrected that practice. Is that correct? So, 501 00:28:38,880 --> 00:28:42,320 Speaker 1: just for the record, since you've been singled out as 502 00:28:42,320 --> 00:28:46,800 Speaker 1: a social media platform before this committee, Twitter undertook no 503 00:28:47,000 --> 00:28:54,040 Speaker 1: behavior to selectively censor conservative Republicans or conservative voices on 504 00:28:54,080 --> 00:28:57,680 Speaker 1: your platform. Is that correct? Good? So let the record 505 00:28:57,760 --> 00:29:01,719 Speaker 1: reflect that, because that's the whole reasons we're here. Because 506 00:29:01,840 --> 00:29:05,800 Speaker 1: House Leader Kevin McCarthy wrote our chairman a letter and said, hey, 507 00:29:05,840 --> 00:29:07,880 Speaker 1: this is going on and we think your committee should 508 00:29:07,920 --> 00:29:11,480 Speaker 1: investigate it. And it's a load of crap. Well, there 509 00:29:11,520 --> 00:29:14,640 Speaker 1: it is. It's a load of crap, right, he just 510 00:29:14,760 --> 00:29:17,760 Speaker 1: lied to Congress. Well there'll be any accountability for lying 511 00:29:17,800 --> 00:29:20,479 Speaker 1: to Congress. I doubt it because he's a Democrat. If 512 00:29:20,520 --> 00:29:22,560 Speaker 1: you lie to congressman, Democrat, you get a slap on 513 00:29:22,560 --> 00:29:24,920 Speaker 1: the back the XTF chairman. I go back to the 514 00:29:24,960 --> 00:29:26,960 Speaker 1: Ponzi scheme of XCF for a second, just to show 515 00:29:26,960 --> 00:29:29,720 Speaker 1: you the example. As long as you're on the Democrats team, 516 00:29:29,760 --> 00:29:32,040 Speaker 1: they will do nothing but protect you when you're busted 517 00:29:32,120 --> 00:29:38,480 Speaker 1: screwing up. The number two investor in the Democratic Party 518 00:29:38,480 --> 00:29:41,000 Speaker 1: and the midterm elections was the guy who two days 519 00:29:41,040 --> 00:29:45,640 Speaker 1: after the midterm elections files for bankruptcy. Basically, his company 520 00:29:45,680 --> 00:29:48,760 Speaker 1: goes bankrupt. There's no money. There's billions and billions of 521 00:29:48,800 --> 00:29:52,520 Speaker 1: dollars that are missing. But hey, at least he funneled 522 00:29:52,600 --> 00:29:55,920 Speaker 1: a couple hundred thousand the Democratic Party first, and we'll 523 00:29:55,920 --> 00:29:59,680 Speaker 1: look the other way. You throw this guy in front 524 00:29:59,680 --> 00:30:01,800 Speaker 1: of Congress, and what do you tell people over and 525 00:30:01,840 --> 00:30:05,480 Speaker 1: over again? You tell them that what they believe Ken McCarthy. 526 00:30:05,520 --> 00:30:08,440 Speaker 1: The Republicans, you're crazy. You ask them the question, did 527 00:30:08,440 --> 00:30:10,479 Speaker 1: you shout out and republicans know? Would you pick up 528 00:30:10,560 --> 00:30:13,040 Speaker 1: Republicans on purpose? No? Did you do any of that's 529 00:30:13,040 --> 00:30:14,880 Speaker 1: on purpose? No, you didn't do any of it. Now, 530 00:30:15,160 --> 00:30:18,960 Speaker 1: and it wasn't just politics. Right, There's another part of 531 00:30:18,960 --> 00:30:24,719 Speaker 1: this story. This was anything that Twitter didn't want to 532 00:30:24,800 --> 00:30:28,040 Speaker 1: let out. There that anything Twitter didn't want to exist. 533 00:30:29,640 --> 00:30:33,840 Speaker 1: This included stuff with COVID. Okay, covid was a big 534 00:30:33,880 --> 00:30:36,040 Speaker 1: part of this. I want to go back to the 535 00:30:36,080 --> 00:30:41,520 Speaker 1: story the doctor real quick, this professor who was asking 536 00:30:42,040 --> 00:30:45,960 Speaker 1: genuine questions about lockdowns and could it negatively affect children? 537 00:30:46,600 --> 00:30:49,760 Speaker 1: Listen to what Miranda defined said about this last night, 538 00:30:49,960 --> 00:30:51,680 Speaker 1: spooking Google were doing it. What are you think it's 539 00:30:51,680 --> 00:30:54,640 Speaker 1: going on on YouTube? We'll likely never know, but we 540 00:30:54,640 --> 00:30:58,160 Speaker 1: can certainly guess. Miranda Divine was an early target of 541 00:30:58,240 --> 00:31:00,680 Speaker 1: censorship by Twitter. Of course, she works at the New 542 00:31:00,760 --> 00:31:03,120 Speaker 1: York Post, which broke the Hunter Biden laptop story. She's 543 00:31:03,160 --> 00:31:05,480 Speaker 1: been following it ever since. She joins us tonight with 544 00:31:05,520 --> 00:31:08,760 Speaker 1: reaction to the second tranche of documents. What do you 545 00:31:08,760 --> 00:31:13,840 Speaker 1: make of this so far? At Miranda look it's I guess, 546 00:31:13,880 --> 00:31:17,440 Speaker 1: not surprising, as you said, but it is really gratifying 547 00:31:17,520 --> 00:31:22,479 Speaker 1: to see it laid out in policies and to catch 548 00:31:22,520 --> 00:31:26,000 Speaker 1: out those top people at Twitter in their lies, because 549 00:31:26,040 --> 00:31:29,000 Speaker 1: they did lie. They said that there was no shadow 550 00:31:29,040 --> 00:31:32,240 Speaker 1: banning going on where you know, we knew just by 551 00:31:32,280 --> 00:31:35,840 Speaker 1: our own experience on Twitter. I, for instance, since Elon 552 00:31:35,920 --> 00:31:40,000 Speaker 1: Musk brought in, have increased my follow account by forty percent, 553 00:31:40,440 --> 00:31:44,880 Speaker 1: and that's just something that's experienced by conservatives across the board. 554 00:31:45,160 --> 00:31:48,240 Speaker 1: And you notice from all the names that Barry Weiss 555 00:31:48,240 --> 00:31:52,719 Speaker 1: has brought up tonight, they're all conservatives. And Barry Weiss 556 00:31:52,800 --> 00:31:56,080 Speaker 1: is not a conservative. She's ex New York Times. I 557 00:31:56,080 --> 00:31:59,320 Speaker 1: guess she'd be a red pilled liberal if anything, And 558 00:32:00,480 --> 00:32:03,760 Speaker 1: if there were left wingers that had been banned, you 559 00:32:03,800 --> 00:32:06,400 Speaker 1: can bet that she would have named them to be 560 00:32:06,560 --> 00:32:11,160 Speaker 1: equal opportunity. I think Matt Taibee was snowed, probably by 561 00:32:11,240 --> 00:32:14,200 Speaker 1: James Baker. He said a couple of things that didn't 562 00:32:14,240 --> 00:32:17,560 Speaker 1: ring true with those first batch of Twitter files, like 563 00:32:17,600 --> 00:32:21,760 Speaker 1: the federal government wasn't involved, and so I think now 564 00:32:22,320 --> 00:32:24,840 Speaker 1: that Elon Musk has kind of been red pilled himself 565 00:32:24,880 --> 00:32:29,440 Speaker 1: and James Baker has gone, we might see more things 566 00:32:29,440 --> 00:32:32,320 Speaker 1: that are useful. But of course, you know, as Tracey 567 00:32:32,400 --> 00:32:36,160 Speaker 1: just said, there's still nothing on the FBI, but it's 568 00:32:36,240 --> 00:32:39,200 Speaker 1: really part of an overall censorship scheme, and it was 569 00:32:39,320 --> 00:32:44,920 Speaker 1: anything that was, you know, anybody dissenting against the Biden administration, 570 00:32:45,600 --> 00:32:50,560 Speaker 1: against federal agencies like the CDC, you know, anything for instance. 571 00:32:51,080 --> 00:32:53,360 Speaker 1: I think a lot of this. I think Elon Musk 572 00:32:53,440 --> 00:32:57,600 Speaker 1: is getting ahead of the revelations that we're seeing out 573 00:32:57,640 --> 00:33:02,040 Speaker 1: of that incredible lawsuit being wrought by Eric Schmidt, the 574 00:33:02,240 --> 00:33:06,480 Speaker 1: Attorney General now Senator elect from Missouri and the Attorney 575 00:33:06,480 --> 00:33:10,640 Speaker 1: General of Louisiana. They are suing the Biden administration for 576 00:33:11,440 --> 00:33:14,880 Speaker 1: violation of the First Amendment for using the social media 577 00:33:14,960 --> 00:33:19,920 Speaker 1: companies to do their dirty work, and that included banning 578 00:33:20,000 --> 00:33:26,760 Speaker 1: or shadow banning. Jadichara, who is an eminent physician from Stanford, 579 00:33:27,200 --> 00:33:34,360 Speaker 1: multiple degrees and incredibly sober, sensible, rational, thoughtful person, one 580 00:33:34,360 --> 00:33:39,040 Speaker 1: of the three founders of the Great Barrington Declaration, which 581 00:33:39,200 --> 00:33:43,520 Speaker 1: just said it wasn't COVID denying, it was just saying 582 00:33:43,840 --> 00:33:47,040 Speaker 1: we know enough to know that it really just hits 583 00:33:47,040 --> 00:33:50,200 Speaker 1: the elderly and the infirm, so they should be protected. 584 00:33:50,400 --> 00:33:54,440 Speaker 1: And let younger people who aren't affected keep the economy 585 00:33:54,520 --> 00:34:00,120 Speaker 1: going and basically create herd immunity by getting sick the 586 00:34:00,200 --> 00:34:04,200 Speaker 1: virus and not dying. And that was just the most 587 00:34:04,240 --> 00:34:08,680 Speaker 1: eminently sensible thing for everybody's mental health, physical health, and 588 00:34:09,239 --> 00:34:15,040 Speaker 1: economic health. And he was shadow band, he and every 589 00:34:15,120 --> 00:34:18,880 Speaker 1: sensible person online who said children should not be getting 590 00:34:18,920 --> 00:34:24,480 Speaker 1: these shots because the ill effects outweighed the benefits. And 591 00:34:24,560 --> 00:34:30,239 Speaker 1: they were right. And unfortunately, you know, doctor Fauci and 592 00:34:30,280 --> 00:34:32,440 Speaker 1: all these people who just decided they were going to 593 00:34:32,440 --> 00:34:36,839 Speaker 1: suppress the truth, they probably cost people's lives. Of course 594 00:34:36,840 --> 00:34:39,080 Speaker 1: they did, of course they did. And it was strategic. 595 00:34:39,120 --> 00:34:42,120 Speaker 1: I mean, they weren't censoring people because they were annoying. 596 00:34:42,160 --> 00:34:45,680 Speaker 1: They were censoring people because they were providing factual information 597 00:34:46,600 --> 00:34:51,080 Speaker 1: that might have stopped certain policies or election results from happening. 598 00:34:52,040 --> 00:34:54,399 Speaker 1: So you know, this was sophisticated and had a huge 599 00:34:54,400 --> 00:34:58,680 Speaker 1: effect on American society. I would say a huge effect. 600 00:34:59,160 --> 00:35:01,880 Speaker 1: If you can take out all the big Republican names, 601 00:35:02,640 --> 00:35:05,160 Speaker 1: you can go on TV like Jack Dorsey did saying 602 00:35:05,200 --> 00:35:08,879 Speaker 1: I we never censored any concervatives, and you're crazy if 603 00:35:08,920 --> 00:35:13,080 Speaker 1: you take away the reach of every conservative talk showst 604 00:35:13,080 --> 00:35:17,279 Speaker 1: in the country, every conservative commentator in the country. That's significant. 605 00:35:17,800 --> 00:35:20,560 Speaker 1: Imagine how you can change an election. Imagine what you 606 00:35:20,600 --> 00:35:23,120 Speaker 1: can do when you can silence and ban a story 607 00:35:23,640 --> 00:35:25,920 Speaker 1: and then treat people that are trying to share that 608 00:35:25,920 --> 00:35:30,640 Speaker 1: story about Hunter Biden's laptop like they are sharing child pornography. 609 00:35:30,800 --> 00:35:33,480 Speaker 1: Imagine how successful you can be an election after election 610 00:35:33,520 --> 00:35:38,120 Speaker 1: if the Democratic Party, the Deep State, the FBI, Hillary 611 00:35:38,120 --> 00:35:42,720 Speaker 1: Clinton's campaign, Joe Biden's campaign can just send a note 612 00:35:44,719 --> 00:35:47,160 Speaker 1: to big Tech saying, this guy's a pain in our ass. 613 00:35:48,360 --> 00:35:51,759 Speaker 1: Can you silence him, make him disappear? Can you make 614 00:35:51,800 --> 00:35:54,400 Speaker 1: it where Dan Bonino when you search his name you 615 00:35:54,440 --> 00:35:57,000 Speaker 1: can't even find him. Yeah, we can do that for you, 616 00:35:57,080 --> 00:36:00,400 Speaker 1: no problem. It's a lot easier to want to actions. 617 00:36:00,960 --> 00:36:03,600 Speaker 1: It's a lot easier to do shady and corrupt things 618 00:36:03,680 --> 00:36:06,960 Speaker 1: if you know that if the shady and corrupt things 619 00:36:07,680 --> 00:36:10,799 Speaker 1: are actually exposed, that you can just shut down them 620 00:36:10,800 --> 00:36:14,120 Speaker 1: being exposed. In other words, you've won the game no 621 00:36:14,200 --> 00:36:16,960 Speaker 1: matter what you do. You want to know why Democrats 622 00:36:16,960 --> 00:36:20,640 Speaker 1: have gotten so bold, why they've gotten so good at 623 00:36:20,840 --> 00:36:26,080 Speaker 1: doing god awful things. This is why, because there's zero 624 00:36:26,120 --> 00:36:32,520 Speaker 1: accountability when they get caught. Zero. I'll say it again zero. 625 00:36:33,400 --> 00:36:35,600 Speaker 1: Make sure you share this podcast with your family and 626 00:36:35,680 --> 00:36:39,040 Speaker 1: your friends. Please share this with your family and your friends. 627 00:36:39,560 --> 00:36:42,480 Speaker 1: Hit it and make us a five star review as well. 628 00:36:42,560 --> 00:36:43,799 Speaker 1: That I'll help us for each other people, and I'll 629 00:36:43,840 --> 00:36:44,760 Speaker 1: see you back here tomorrow