1 00:00:00,160 --> 00:00:01,760 Speaker 1: We made it through the State of the Union. We 2 00:00:01,840 --> 00:00:04,000 Speaker 1: made it through a lot of the lies and slurring 3 00:00:04,120 --> 00:00:06,160 Speaker 1: from Joe Biden. And now back to the things that 4 00:00:06,240 --> 00:00:09,400 Speaker 1: actually matter that are happening in washing in DC. And 5 00:00:09,480 --> 00:00:11,480 Speaker 1: one of the biggest things that is happening the day 6 00:00:11,520 --> 00:00:15,760 Speaker 1: after the State of Union is the Twitter former executives 7 00:00:15,760 --> 00:00:20,239 Speaker 1: were called before Congress to explain what all they did 8 00:00:20,239 --> 00:00:23,600 Speaker 1: with a hunter Biden's story, shadow banting conservatives, and silencing 9 00:00:23,600 --> 00:00:27,320 Speaker 1: people that ask questions about COVID. In other words, why 10 00:00:27,320 --> 00:00:31,520 Speaker 1: are you working for the United States government? Remember FBI 11 00:00:31,560 --> 00:00:33,800 Speaker 1: and the Twitter files show that there was lots of 12 00:00:33,840 --> 00:00:35,840 Speaker 1: meetings that were taking place, and they were just saying, 13 00:00:35,840 --> 00:00:39,160 Speaker 1: we don't like this person, Silence them, shadow banded them, 14 00:00:39,240 --> 00:00:42,520 Speaker 1: shut them down, shut them down. Our government, the United 15 00:00:42,520 --> 00:00:44,880 Speaker 1: States of America, that's supposed to believe in free speech 16 00:00:45,479 --> 00:00:49,879 Speaker 1: is a fundamental right. Our deep state was silencing conservatives 17 00:00:50,000 --> 00:00:54,480 Speaker 1: left and right. Now there's been members on the left 18 00:00:54,640 --> 00:00:56,520 Speaker 1: and then the media they say, well, we don't know 19 00:00:56,640 --> 00:01:00,360 Speaker 1: for sure that the FBI was actually meeting with Twitter. Well, hey, 20 00:01:00,440 --> 00:01:03,520 Speaker 1: we have an official answer from the former Twitter safety 21 00:01:03,560 --> 00:01:08,959 Speaker 1: head y'all Roth, who actually said on the record today, yes, 22 00:01:09,160 --> 00:01:12,800 Speaker 1: I had many meetings with the FBI. In fact, so 23 00:01:12,920 --> 00:01:15,160 Speaker 1: many meetings that he couldn't even answer for sure how 24 00:01:15,200 --> 00:01:18,120 Speaker 1: many he had. Take a listen, thank you, mister chairman. 25 00:01:18,640 --> 00:01:22,840 Speaker 1: Mister Matt Taiebi, a respected reporter who published much of 26 00:01:22,840 --> 00:01:27,280 Speaker 1: the Twitter file, said quote, Twitter's contact with FBI was 27 00:01:27,440 --> 00:01:32,160 Speaker 1: constant and pervasive, as if it were a subsidiary. Now 28 00:01:32,200 --> 00:01:35,319 Speaker 1: I want to better understand why he would suggest that, 29 00:01:35,920 --> 00:01:39,280 Speaker 1: mister Roth, while at Twitter, how many meetings did you 30 00:01:39,319 --> 00:01:44,640 Speaker 1: have with the FBI? I couldn't say for sure, but 31 00:01:44,840 --> 00:01:50,320 Speaker 1: more than ten, I couldn't say for sure. More than fifty. 32 00:01:51,040 --> 00:01:54,040 Speaker 1: That seems a bit high. Many meetings with the FBI 33 00:01:55,160 --> 00:01:57,360 Speaker 1: seems a bit high, But I couldn't say for sure. 34 00:01:57,480 --> 00:02:00,960 Speaker 1: I'm not exactly sure. Now, think about meetings, Does that 35 00:02:01,000 --> 00:02:04,480 Speaker 1: mean emails? Know that means actual face to face meetings 36 00:02:05,600 --> 00:02:08,680 Speaker 1: Twitter executives, we know through the emails show that they 37 00:02:08,680 --> 00:02:12,000 Speaker 1: were in constant contact. Now there's people that I work 38 00:02:12,080 --> 00:02:15,680 Speaker 1: with and I don't actually see that often. There are 39 00:02:15,720 --> 00:02:18,320 Speaker 1: people that I email with on a regular basis that 40 00:02:18,360 --> 00:02:22,080 Speaker 1: I've worked with for years that I actually have never met. 41 00:02:22,800 --> 00:02:25,720 Speaker 1: But there were certain meetings that apparently the FBI wanted 42 00:02:25,720 --> 00:02:29,080 Speaker 1: to make sure they were offline, meaning they weren't meetings 43 00:02:29,120 --> 00:02:32,080 Speaker 1: where there were paper trails of what was going to 44 00:02:32,120 --> 00:02:34,240 Speaker 1: be said, what was going to be talked about, what 45 00:02:34,320 --> 00:02:37,840 Speaker 1: was going to be communicated. So when you have FBI 46 00:02:37,919 --> 00:02:41,760 Speaker 1: officials that are actually flying to meet with Twitter executives, 47 00:02:42,240 --> 00:02:44,919 Speaker 1: you know it had to be something damn good, right, 48 00:02:45,520 --> 00:02:47,760 Speaker 1: Something they didn't really want us to be able to 49 00:02:47,800 --> 00:02:51,240 Speaker 1: find and or talk about, or see or hear or 50 00:02:51,280 --> 00:02:55,760 Speaker 1: have a paper trail of what the conversation was about. 51 00:02:56,160 --> 00:02:58,679 Speaker 1: So we know now for a fact that the FBI, 52 00:02:58,800 --> 00:03:05,560 Speaker 1: the deep state is actually doing this. That's problematic. Welcome 53 00:03:05,600 --> 00:03:08,720 Speaker 1: to a government that's no longer looking out for the people, 54 00:03:09,120 --> 00:03:11,880 Speaker 1: but as actively working against people. They don't like to 55 00:03:12,000 --> 00:03:16,080 Speaker 1: actively silence them. That is the truth here. That's what 56 00:03:16,200 --> 00:03:20,600 Speaker 1: actually is happening and was happening for years at Twitter. 57 00:03:21,440 --> 00:03:26,040 Speaker 1: Now three former Twitter executives have now quote acknowledged today 58 00:03:26,120 --> 00:03:29,919 Speaker 1: mistakes with a Hunter Biden laptop story. They also went 59 00:03:29,960 --> 00:03:34,640 Speaker 1: on to claim that there was quote no government involvement. Yeah, 60 00:03:34,680 --> 00:03:37,640 Speaker 1: no government involvement, all right. So let's look at some 61 00:03:37,680 --> 00:03:41,320 Speaker 1: of the things they did admit too. Here's another back 62 00:03:41,360 --> 00:03:46,520 Speaker 1: and forth talking about a House Republican asking a Twitter 63 00:03:46,560 --> 00:03:49,960 Speaker 1: executive about blacklisting any of the COVID critics the US 64 00:03:50,080 --> 00:03:53,680 Speaker 1: government and FAUCI didn't want out there. This is Representative 65 00:03:53,760 --> 00:03:57,320 Speaker 1: Nancy May's. She is a Republican and she was talking 66 00:03:57,480 --> 00:04:01,560 Speaker 1: on the House Oversight Committee about curing on the issue 67 00:04:01,600 --> 00:04:06,400 Speaker 1: of COVID information. Listen very carefully to what Twitter admits 68 00:04:06,480 --> 00:04:09,920 Speaker 1: to doing. Another example of what Twitter has done to 69 00:04:10,040 --> 00:04:14,360 Speaker 1: censor folks is from doctor Martin coldor if Harvard educated 70 00:04:14,400 --> 00:04:18,680 Speaker 1: epidemiologists who once tweeted COVID vaccines are important for high 71 00:04:18,760 --> 00:04:22,640 Speaker 1: risk people and their caretakers. Those with prior natural infection 72 00:04:22,800 --> 00:04:26,520 Speaker 1: do not need it, nor children. The Twitter files reveal 73 00:04:26,640 --> 00:04:29,680 Speaker 1: this tweet was deemed false information because it ran contrary 74 00:04:29,920 --> 00:04:33,240 Speaker 1: to this CDC. So my first question this morning of 75 00:04:33,279 --> 00:04:36,479 Speaker 1: miss gadding May ask of you, where did you go 76 00:04:36,560 --> 00:04:40,520 Speaker 1: to medical school? I did not go to medical school. 77 00:04:40,560 --> 00:04:42,680 Speaker 1: I'm sorry, I did not go to medicals. That's what 78 00:04:42,720 --> 00:04:44,680 Speaker 1: I thought. Why do you think you or anyone else 79 00:04:44,680 --> 00:04:48,240 Speaker 1: on Twitter had the medical expertise to censor a doctor's 80 00:04:48,440 --> 00:04:57,680 Speaker 1: expert opinion. Our policies regarding COVID were designed to protect individuals. 81 00:04:57,720 --> 00:05:01,480 Speaker 1: We were seeing you guys censored hard educated doctor, Stanford 82 00:05:01,560 --> 00:05:05,279 Speaker 1: educated doctors, doctors that are educated in the best places 83 00:05:05,400 --> 00:05:10,520 Speaker 1: in the world, and you silenced those voices. My next 84 00:05:10,600 --> 00:05:13,920 Speaker 1: question is the US government. Excuse me, I have another 85 00:05:14,000 --> 00:05:15,960 Speaker 1: chart I want to show you, Miss Gatty. I have 86 00:05:15,960 --> 00:05:18,440 Speaker 1: another tweet by someone with a following of a full 87 00:05:18,560 --> 00:05:22,800 Speaker 1: eighteen thousand followers. This person put a chart from the 88 00:05:22,839 --> 00:05:27,279 Speaker 1: CDC on Twitter. It's the CDC's own data, so it's 89 00:05:27,320 --> 00:05:31,360 Speaker 1: accurate by your standards, and you all labeled this as misleading. 90 00:05:31,839 --> 00:05:36,000 Speaker 1: You're not a doctor, right, miss Gatty? No, I'm not. Okay, 91 00:05:36,120 --> 00:05:37,919 Speaker 1: what makes you think you or anyone else on Twitter? 92 00:05:37,960 --> 00:05:44,400 Speaker 1: I have the medical expertise to censor actual, accurate CDC data. 93 00:05:44,760 --> 00:05:47,800 Speaker 1: I'm not familiar with these particular situations. Yeah, I'm sure 94 00:05:47,839 --> 00:05:50,279 Speaker 1: you're not. But this is what Twitter did. They labeled 95 00:05:50,279 --> 00:05:55,120 Speaker 1: this as an accurate It is the government's own data. 96 00:05:55,200 --> 00:05:58,520 Speaker 1: It's ridiculous that we're even having to have this conversation today. 97 00:05:58,520 --> 00:06:01,440 Speaker 1: It's not just about the laptop, is about medical advice 98 00:06:01,480 --> 00:06:04,760 Speaker 1: that expert doctors we're trying to give Americans because social 99 00:06:04,800 --> 00:06:12,359 Speaker 1: media companies like Twitter were silencing their voices. Wow, what 100 00:06:12,560 --> 00:06:14,680 Speaker 1: makes you think you or anyone else at Twitter have 101 00:06:14,720 --> 00:06:18,599 Speaker 1: the medical experience. A censor a doctor's expert opinion, and 102 00:06:18,760 --> 00:06:21,400 Speaker 1: that expert opinion is coming from the own United States 103 00:06:21,400 --> 00:06:25,840 Speaker 1: government's data. This is what Twitter was doing, because anytime 104 00:06:25,880 --> 00:06:28,560 Speaker 1: they decided they didn't like something, what they decided to 105 00:06:28,600 --> 00:06:32,040 Speaker 1: do with censor them, including Harvard educated doctors epidemiologists who 106 00:06:32,040 --> 00:06:34,839 Speaker 1: were talking about who should and shouldn't be taking the 107 00:06:34,880 --> 00:06:38,600 Speaker 1: COVID vaccine. But when it didn't fit the fauci psychotic narrative, 108 00:06:39,200 --> 00:06:44,000 Speaker 1: they shut people down. Now, before I get into more 109 00:06:44,000 --> 00:06:45,400 Speaker 1: of that, I want to tell you about our friends 110 00:06:45,400 --> 00:06:47,760 Speaker 1: over at Patriot Mobile real quick. If you've got a 111 00:06:47,800 --> 00:06:50,479 Speaker 1: cell phone, then you need to make the switch to 112 00:06:50,520 --> 00:06:53,520 Speaker 1: the only Christian conservative cell phone coming to us. 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So just go 130 00:07:50,800 --> 00:07:54,200 Speaker 1: to Patriot Mobile dot com slash ferguson or call them 131 00:07:54,400 --> 00:08:00,000 Speaker 1: eight seven eight Patriot that's eight seven eight Patriot, or 132 00:08:00,200 --> 00:08:05,040 Speaker 1: online at Patriot Mobile dot com slash ben that's Patriot 133 00:08:05,040 --> 00:08:09,920 Speaker 1: Mobile dot com slash ben. Now. Congresswoman Bobert went off 134 00:08:09,960 --> 00:08:15,520 Speaker 1: on Twitter for one other thing, banning her account, saying 135 00:08:15,520 --> 00:08:17,480 Speaker 1: to them, who the hell do you think you are 136 00:08:17,520 --> 00:08:20,240 Speaker 1: that you can just ban my account? You silenced me 137 00:08:20,760 --> 00:08:24,800 Speaker 1: from communicating with the American people over a joke that 138 00:08:24,960 --> 00:08:28,400 Speaker 1: you then said I should be banned. Four Well, we 139 00:08:28,560 --> 00:08:32,200 Speaker 1: know how many FBI agents worked at Twitter while you 140 00:08:32,200 --> 00:08:35,839 Speaker 1: were there. I don't believe any active fbior FBI agents? 141 00:08:35,840 --> 00:08:38,680 Speaker 1: How many works there while you were there. I'm aware 142 00:08:38,679 --> 00:08:41,840 Speaker 1: of perhaps two. Well, we know of at least nine, 143 00:08:42,360 --> 00:08:46,199 Speaker 1: because they started the BU group chat BU for Bureau. Now, 144 00:08:46,200 --> 00:08:48,200 Speaker 1: mister Roth, did the FBI ever asked you to share 145 00:08:48,240 --> 00:08:54,480 Speaker 1: information like users communication data without going through proper legal channels. No, 146 00:08:54,600 --> 00:08:56,600 Speaker 1: they did not, and I would have refused if they had. 147 00:08:57,440 --> 00:08:59,920 Speaker 1: That's correct. I see that you denied agent Chan's request 148 00:09:00,120 --> 00:09:03,360 Speaker 1: for access to Twitter's data feed. What's sick isn't that 149 00:09:03,400 --> 00:09:06,640 Speaker 1: you would deny it. It's that the FBI would even 150 00:09:06,679 --> 00:09:11,760 Speaker 1: ask you for the private data of American citizens without 151 00:09:11,880 --> 00:09:15,719 Speaker 1: going through legal channels of the law. Now, I want 152 00:09:15,720 --> 00:09:17,640 Speaker 1: to remind you, mister Roth, that you are under oath. 153 00:09:17,760 --> 00:09:19,560 Speaker 1: Did the FBI ever ask you to do anything that 154 00:09:19,640 --> 00:09:23,720 Speaker 1: was illegal or questionably illegal? I'm not a lawyer, but 155 00:09:23,840 --> 00:09:26,400 Speaker 1: certainly not to the best of my recollection or knowledge. Now, 156 00:09:26,440 --> 00:09:29,080 Speaker 1: from the hearing that I've been a part of today, 157 00:09:29,440 --> 00:09:32,679 Speaker 1: it's almost impossible to tell where the FBI ends and 158 00:09:32,720 --> 00:09:35,280 Speaker 1: where Twitter begins. We have mister Baker here, a former 159 00:09:35,320 --> 00:09:37,960 Speaker 1: FBI agent, and there seems to be a revolving door 160 00:09:38,080 --> 00:09:42,720 Speaker 1: between the FBI and Twitter itself. Even mister Baker said 161 00:09:42,720 --> 00:09:46,600 Speaker 1: that there was no collusion with the federal government and Twitter. 162 00:09:46,880 --> 00:09:50,480 Speaker 1: But mister Baker, that's you. You are the collusion between 163 00:09:50,480 --> 00:09:53,320 Speaker 1: the federal government and the FBI, and now with it, 164 00:09:53,640 --> 00:09:58,160 Speaker 1: this is such a problem because we're seeing censorship all over. 165 00:09:58,400 --> 00:10:01,960 Speaker 1: Mister Roth, Miss Gaddy, did either of you approve the 166 00:10:02,040 --> 00:10:07,920 Speaker 1: shadow banning of my account at Lauren Bobert? Yes or no? No, 167 00:10:08,000 --> 00:10:11,160 Speaker 1: I did not, not to the best of my recollection. Well, 168 00:10:11,200 --> 00:10:13,840 Speaker 1: let me refresh your memory, because on March twelfth, twenty 169 00:10:13,920 --> 00:10:17,559 Speaker 1: twenty one, and mister Roth, I know you looked at 170 00:10:17,600 --> 00:10:20,760 Speaker 1: it because fascist Twitter one point zero had a public 171 00:10:20,800 --> 00:10:24,000 Speaker 1: interest exceptions policy, which means for members of Congress to 172 00:10:24,040 --> 00:10:27,880 Speaker 1: be shadow band it had to go before you, mister Roth. 173 00:10:28,040 --> 00:10:31,120 Speaker 1: So I'll ask again, did you shadow band my account? Yes? 174 00:10:31,240 --> 00:10:34,320 Speaker 1: Or no? Again not to the best of my recollection. 175 00:10:34,320 --> 00:10:36,480 Speaker 1: So the answer is, mister Roth, yes you did. I 176 00:10:36,480 --> 00:10:39,719 Speaker 1: found out last night from Twitter staff that you suppressed 177 00:10:39,920 --> 00:10:45,199 Speaker 1: my account for this tweet. It's a freaking joke about 178 00:10:45,320 --> 00:10:49,239 Speaker 1: Hillary Clinton being angry that she couldn't rig her election. 179 00:10:49,559 --> 00:10:54,600 Speaker 1: It's a joke. But in response, being the sinister overlords 180 00:10:54,679 --> 00:10:58,280 Speaker 1: that you all are, you placed a ninety day account 181 00:10:58,320 --> 00:11:01,360 Speaker 1: filter so I could not be found. And now we 182 00:11:01,440 --> 00:11:04,439 Speaker 1: see here that Twitter staff said the visibility filter on 183 00:11:04,480 --> 00:11:08,320 Speaker 1: my account excluded me from top searches, prevented notifications for 184 00:11:08,400 --> 00:11:13,040 Speaker 1: non followers, and much more. This is considered an aggressive 185 00:11:13,400 --> 00:11:18,360 Speaker 1: visibility filter. You silenced members of Congress from communicating with 186 00:11:18,400 --> 00:11:23,119 Speaker 1: their constituents. You silenced me from communicating with the American 187 00:11:23,200 --> 00:11:27,000 Speaker 1: people over a freaking joke. Now, who the hell do 188 00:11:27,120 --> 00:11:31,320 Speaker 1: you think that you are? Election interference? Yeah? I would 189 00:11:31,360 --> 00:11:33,599 Speaker 1: say that that was taking place because of you. For 190 00:11:33,840 --> 00:11:37,360 Speaker 1: sitting here. The Hunter Biden laptop story was suppressed, a 191 00:11:37,400 --> 00:11:41,480 Speaker 1: sitting member of Congress was suppressed, a sitting president was 192 00:11:41,559 --> 00:11:43,640 Speaker 1: banned from Twitter. You know, I bet that Putin is 193 00:11:43,720 --> 00:11:47,640 Speaker 1: sitting in the Kremlin wishing he had as much election 194 00:11:47,080 --> 00:11:53,840 Speaker 1: intervention interference as you for here today. Wow. I don't 195 00:11:53,880 --> 00:11:57,959 Speaker 1: always agree with Bobert, but on this one, she makes 196 00:11:57,960 --> 00:12:02,160 Speaker 1: a hell of a lot of good points. Democrat Representative 197 00:12:02,320 --> 00:12:10,200 Speaker 1: Stansbury called Twitter censorship a quote a political conspiracy theory. Today, 198 00:12:10,920 --> 00:12:14,400 Speaker 1: he claimed it was planted by Rudy Giuliani. That didn't 199 00:12:14,440 --> 00:12:20,679 Speaker 1: go over well. Why Because Representative Higgins told Twitter executives, 200 00:12:20,679 --> 00:12:24,880 Speaker 1: in his words, based on what we've seen, executives might 201 00:12:24,880 --> 00:12:28,840 Speaker 1: need to prepare to be arrested for criminal interference in 202 00:12:28,960 --> 00:12:33,040 Speaker 1: the twenty twenty election based on now what we know. 203 00:12:33,559 --> 00:12:37,360 Speaker 1: Listen carefully. Bottom line is that the FI had to 204 00:12:37,679 --> 00:12:41,280 Speaker 1: Biden crime family laptop for a year. They knew it 205 00:12:41,360 --> 00:12:44,360 Speaker 1: was leaking, They knew it would hurt the Biden campaign, 206 00:12:46,040 --> 00:12:50,720 Speaker 1: So the FI used its relationship with Twitter to suppress 207 00:12:50,880 --> 00:12:55,520 Speaker 1: criminal evidence being revealed about Joe Biden one month before 208 00:12:55,600 --> 00:13:00,680 Speaker 1: the twenty twenty elections. You ladies and gentlemen interfered with 209 00:13:00,800 --> 00:13:05,360 Speaker 1: the United States of America twenty twenty presidential election knowingly 210 00:13:05,400 --> 00:13:08,560 Speaker 1: and willingly. That's the bad news is going to get 211 00:13:08,600 --> 00:13:13,079 Speaker 1: worse because this is the investigation part. Later comes to 212 00:13:13,120 --> 00:13:18,920 Speaker 1: your arrest part. Your attorneys are familiar with that. Miss 213 00:13:18,920 --> 00:13:21,280 Speaker 1: a gentleman, I like just been in five hours with 214 00:13:21,400 --> 00:13:25,240 Speaker 1: these ladies and gentlemen during deposition. Surely yet to come, 215 00:13:25,559 --> 00:13:27,960 Speaker 1: but for Ridney, I'll yield the balance of my time 216 00:13:28,040 --> 00:13:32,440 Speaker 1: to my colleague. I mean, I love it when Republicans 217 00:13:32,480 --> 00:13:36,440 Speaker 1: actually act like they're Republicans and stand up this way, 218 00:13:36,880 --> 00:13:39,520 Speaker 1: A congressman telling these Twitter executives are prepared to be 219 00:13:39,600 --> 00:13:44,480 Speaker 1: arrested for criminal interference in the twenty twenty elections. Now 220 00:13:44,480 --> 00:13:47,960 Speaker 1: the Democrats had a strategy when it came to the 221 00:13:48,000 --> 00:13:52,520 Speaker 1: Twitter files and how they were going to handle this. 222 00:13:53,440 --> 00:13:56,319 Speaker 1: They were gonna say, you guys are basically overreacting. We've 223 00:13:56,320 --> 00:14:00,960 Speaker 1: already admitted the laptops. Reel a Democrat at from New Mexico, 224 00:14:01,400 --> 00:14:08,319 Speaker 1: a representative Stansbury. She actually said that the committee was 225 00:14:08,320 --> 00:14:14,040 Speaker 1: wasting a day having a hearing about political conspiracy theory. 226 00:14:14,440 --> 00:14:16,439 Speaker 1: And then she says, look, the New York Times of 227 00:14:16,520 --> 00:14:19,800 Speaker 1: Washington Post now admitted the Hunter laptop is real, right, 228 00:14:19,880 --> 00:14:23,240 Speaker 1: So why are you guys wasting our time? This is 229 00:14:23,280 --> 00:14:26,440 Speaker 1: their strategy to fight back is out there, and I 230 00:14:26,480 --> 00:14:29,240 Speaker 1: want to thank you all for spending your day with us. 231 00:14:29,760 --> 00:14:33,160 Speaker 1: But I also want to start out by asking what 232 00:14:33,240 --> 00:14:37,120 Speaker 1: are we doing here in this committee today? Why are 233 00:14:37,200 --> 00:14:43,520 Speaker 1: we here? Why is this committee devoting a day long 234 00:14:43,720 --> 00:14:49,720 Speaker 1: hearing to a political conspiracy theory that was planted in 235 00:14:49,760 --> 00:14:55,920 Speaker 1: the media by Rudy Giuliani to support Donald Trump's reelection campaign. 236 00:14:57,480 --> 00:15:00,960 Speaker 1: Of all the topics we could be focused on in 237 00:15:01,000 --> 00:15:04,200 Speaker 1: this committee to support us out, I love this right. 238 00:15:04,240 --> 00:15:07,520 Speaker 1: So the logic now from the Democrats is well the 239 00:15:07,560 --> 00:15:10,040 Speaker 1: New York Times and watched him posts after two years 240 00:15:10,040 --> 00:15:12,560 Speaker 1: of lying to you have admitted that the laptop is real, 241 00:15:13,360 --> 00:15:17,240 Speaker 1: and there's no reason to have this committee here today 242 00:15:18,000 --> 00:15:20,640 Speaker 1: because it's it's a it's a conspiracy theory. But then 243 00:15:20,680 --> 00:15:23,920 Speaker 1: she's admitting it's real, but it's a conspiracy theory because 244 00:15:23,960 --> 00:15:29,480 Speaker 1: that's the line they're going to use. This other Democrat 245 00:15:29,560 --> 00:15:37,080 Speaker 1: from Florida, Jared jumped in afterwards, attacking John Paul mac Isaac. 246 00:15:37,480 --> 00:15:39,760 Speaker 1: He's saying he's actually a leaker. He's a guy who 247 00:15:39,840 --> 00:15:43,480 Speaker 1: copied files off a private citizens hard drive. So why 248 00:15:43,480 --> 00:15:46,160 Speaker 1: are we here, By the way, that's a lie. Hunter 249 00:15:46,160 --> 00:15:49,760 Speaker 1: Biden dropped his laptop off at his repair shop and 250 00:15:49,760 --> 00:15:51,600 Speaker 1: then left it there, and then it became the property 251 00:15:51,600 --> 00:15:53,720 Speaker 1: of John Paul Maciaac, and then he gave it to 252 00:15:53,760 --> 00:15:58,480 Speaker 1: the authorities. Why because he saw horrific and illegal activity 253 00:15:58,720 --> 00:16:03,400 Speaker 1: on the lap top. But let's move on to Hunter 254 00:16:03,440 --> 00:16:06,880 Speaker 1: Biden's laptop. Your leaker. I always love this, By the way, 255 00:16:06,920 --> 00:16:09,480 Speaker 1: you guys are against leakers unless they're leaking things. You 256 00:16:09,600 --> 00:16:13,800 Speaker 1: like your leaker, Matt Isaac, And I love you know. 257 00:16:14,000 --> 00:16:17,360 Speaker 1: Have you seen this guy? I mean this is he's 258 00:16:17,360 --> 00:16:20,840 Speaker 1: like a radio shack dot matrix guy who copied files 259 00:16:21,120 --> 00:16:24,880 Speaker 1: off a private Citizens hard drive. Okay, that's just a lie. 260 00:16:25,280 --> 00:16:28,760 Speaker 1: He didn't Hunter Biden brought his laptop to the man 261 00:16:29,280 --> 00:16:31,760 Speaker 1: to the repair shop and left it there and never 262 00:16:31,840 --> 00:16:36,480 Speaker 1: came back to pick it up. And then this idiot 263 00:16:36,720 --> 00:16:39,920 Speaker 1: goes on to say, we haven't even seen the laptop. 264 00:16:40,360 --> 00:16:42,800 Speaker 1: We haven't even seen the hard drive. By the way, 265 00:16:42,840 --> 00:16:46,080 Speaker 1: that's a lie. It's public information. It's literally in the 266 00:16:46,080 --> 00:16:48,640 Speaker 1: congressional record. How do we know that because a copy 267 00:16:48,760 --> 00:16:51,960 Speaker 1: of the hard drive was put into the congressional record 268 00:16:52,040 --> 00:16:56,040 Speaker 1: by a congressman, Matt Gates last year. But I'll lie 269 00:16:56,040 --> 00:16:58,120 Speaker 1: to you anyway, and again, this is part of the 270 00:16:58,160 --> 00:17:01,840 Speaker 1: cover up of the left. Ir theory is based off 271 00:17:01,840 --> 00:17:05,639 Speaker 1: of But I want to use his words. This is 272 00:17:05,720 --> 00:17:09,200 Speaker 1: his own words. Your guy, your leaker, the guy who 273 00:17:09,240 --> 00:17:13,680 Speaker 1: gave you the information. There have been several attempts by 274 00:17:13,800 --> 00:17:19,040 Speaker 1: several individuals to modify and insert fake data. I do 275 00:17:19,160 --> 00:17:21,720 Speaker 1: know there has been multiple attempts over the past year 276 00:17:21,760 --> 00:17:26,280 Speaker 1: and a half to insert questionable material into the laptop 277 00:17:26,600 --> 00:17:30,480 Speaker 1: to pass off information or disinformation as coming to the 278 00:17:30,840 --> 00:17:34,560 Speaker 1: coming from the laptop. He continued. This is a major 279 00:17:34,640 --> 00:17:37,639 Speaker 1: concern of mine because I fought tooth and nail to 280 00:17:37,680 --> 00:17:41,359 Speaker 1: protect the integrity of the drive, and to jeopardize that 281 00:17:41,560 --> 00:17:45,439 Speaker 1: is going to mean everything I sacrificed will be for nothing. 282 00:17:46,560 --> 00:17:51,200 Speaker 1: Your guy, your leaker, questioning the integrity of the information 283 00:17:51,600 --> 00:17:54,960 Speaker 1: you guys are peddling. By way, why isn't he here? 284 00:17:56,080 --> 00:17:59,040 Speaker 1: Bring him here, let's ask him questions. And why haven't 285 00:17:59,080 --> 00:18:03,000 Speaker 1: we seen the hard d You guys aren't shy. Why 286 00:18:03,040 --> 00:18:05,720 Speaker 1: won't you show it to the American people? I love 287 00:18:05,760 --> 00:18:08,520 Speaker 1: this right. Why won't you show it? Why isn't he here? 288 00:18:09,720 --> 00:18:11,520 Speaker 1: John Paul mc isaac, by the way, said there have 289 00:18:11,600 --> 00:18:13,920 Speaker 1: been bad actors who tried to put things out there 290 00:18:14,000 --> 00:18:16,000 Speaker 1: claiming it came from the hard drive. That's what he 291 00:18:16,040 --> 00:18:18,280 Speaker 1: did say. That's a fact. By the way, he didn't 292 00:18:18,320 --> 00:18:21,440 Speaker 1: say he did it. He said, there's people that tried 293 00:18:21,480 --> 00:18:25,159 Speaker 1: to pass off to put doubt out there about the 294 00:18:25,440 --> 00:18:28,199 Speaker 1: authenticity of the hard drive that the FBI has that 295 00:18:28,359 --> 00:18:31,880 Speaker 1: now is in the congressional record. Because we know it's 296 00:18:31,880 --> 00:18:33,600 Speaker 1: been put in the congressional record. He's like, where's the 297 00:18:33,640 --> 00:18:36,359 Speaker 1: hard drive? You have a damn copy of it, you idiot. 298 00:18:37,119 --> 00:18:41,040 Speaker 1: These are the incompetent imbeciles of the left. One of 299 00:18:41,080 --> 00:18:44,280 Speaker 1: the things that I know about what happened today is this. 300 00:18:45,720 --> 00:18:49,320 Speaker 1: Twitter made it clear that they made up their standards 301 00:18:49,800 --> 00:18:53,560 Speaker 1: for whatever the deep state and the liberal Democrats demanded. 302 00:18:54,080 --> 00:18:57,360 Speaker 1: I'll give you a great example of that. They just 303 00:18:57,400 --> 00:19:00,720 Speaker 1: said that basically, and this is a former Twitter officials 304 00:19:00,720 --> 00:19:04,399 Speaker 1: saying that it's standard. The standard they used to sensor 305 00:19:04,480 --> 00:19:07,280 Speaker 1: content was basically if they thought it was the equivalent 306 00:19:07,320 --> 00:19:10,720 Speaker 1: of saying fire, yelling fire in a crowded theater. Every 307 00:19:10,800 --> 00:19:14,119 Speaker 1: day we had to decide whether a particular piece of 308 00:19:14,119 --> 00:19:18,840 Speaker 1: content equated to yelling fire in a crowded theater. My 309 00:19:18,920 --> 00:19:21,760 Speaker 1: work at Twitter and subsequently at Twitch put me in 310 00:19:21,800 --> 00:19:25,800 Speaker 1: the middle of wow. I mean literally fire in a 311 00:19:25,880 --> 00:19:30,200 Speaker 1: crowded theater. That comes, by the way, from a Supreme 312 00:19:30,240 --> 00:19:34,680 Speaker 1: Court case that justified putting anti war activists in prison 313 00:19:35,480 --> 00:19:39,320 Speaker 1: and the president was overturned over fifty years ago. And 314 00:19:39,440 --> 00:19:43,440 Speaker 1: Twitter then says that's what they were using as their 315 00:19:43,520 --> 00:19:47,880 Speaker 1: justification for silencing conservatives every single day. So let's just 316 00:19:48,000 --> 00:19:51,560 Speaker 1: use that theory for a second with Twitter. When you 317 00:19:51,680 --> 00:19:56,000 Speaker 1: have people at the White House and you have doctor 318 00:19:56,040 --> 00:20:00,320 Speaker 1: Fauci emailing you telling you they want to silence Harvard 319 00:20:00,560 --> 00:20:05,399 Speaker 1: educated doctor's epidemiologists who are giving a different perspective on 320 00:20:05,440 --> 00:20:09,840 Speaker 1: a COVID vaccine and then you silence that doctor's account. 321 00:20:10,200 --> 00:20:13,040 Speaker 1: How is that the equivalent of it again using your 322 00:20:13,080 --> 00:20:17,560 Speaker 1: own standard of him yelling fire in a crowded theater, 323 00:20:18,520 --> 00:20:21,600 Speaker 1: fire in a crowded theater. That was your standard for 324 00:20:21,760 --> 00:20:26,480 Speaker 1: ruining people's lives. 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You think about their corporate board, 354 00:22:09,160 --> 00:22:11,880 Speaker 1: You think about these people that were given this much 355 00:22:11,920 --> 00:22:15,320 Speaker 1: power at Twitter, and when they made up the rules 356 00:22:15,359 --> 00:22:17,320 Speaker 1: as they went right, they just I mean they just 357 00:22:17,359 --> 00:22:20,600 Speaker 1: made up the rules. They literally made up the rules 358 00:22:20,680 --> 00:22:22,800 Speaker 1: as they went along, and they could pick up anything 359 00:22:22,840 --> 00:22:24,680 Speaker 1: they wanted to and say, yes, we're going to run 360 00:22:24,720 --> 00:22:28,719 Speaker 1: with this, and yes we're gonna ban this. Representative Daniel Goldman, 361 00:22:29,000 --> 00:22:31,600 Speaker 1: who was the lead counsel on the first Trump impeachment, 362 00:22:32,200 --> 00:22:34,440 Speaker 1: he actually just claimed that it's a lie that Joe 363 00:22:34,480 --> 00:22:40,080 Speaker 1: Biden pressured Ukraine to fire the prosecutor investigating Barisma, where 364 00:22:40,080 --> 00:22:42,480 Speaker 1: his son was on the board, and again Twitter would 365 00:22:42,560 --> 00:22:45,120 Speaker 1: let this go unchecked. It's a lie, by the way, 366 00:22:45,160 --> 00:22:46,720 Speaker 1: and I'm gonna prove it in just a second. But 367 00:22:46,800 --> 00:22:49,680 Speaker 1: first listen to this Democrat today trying to figure out 368 00:22:49,680 --> 00:22:53,399 Speaker 1: a way to in essence, screamed fire in a crowded 369 00:22:53,440 --> 00:22:55,520 Speaker 1: theater so that this hearing would just end and no 370 00:22:55,520 --> 00:22:58,480 Speaker 1: one would care about what was actually being exposed, that 371 00:22:58,720 --> 00:23:02,240 Speaker 1: the United States governed nament was working and colluding with 372 00:23:02,480 --> 00:23:05,399 Speaker 1: the private sector to shut down and ruin the lives 373 00:23:05,440 --> 00:23:08,919 Speaker 1: of conservatives or anyone who said anything they didn't like, 374 00:23:09,000 --> 00:23:13,760 Speaker 1: including medical doctors. Der Biden introduced his father to a 375 00:23:13,800 --> 00:23:17,760 Speaker 1: top executive at a Ukrainian and energy firm less than 376 00:23:17,960 --> 00:23:22,119 Speaker 1: a year before the elder Biden pressured government officials in 377 00:23:22,240 --> 00:23:27,720 Speaker 1: Ukraine into firing a prosecutor who was investigating the company. 378 00:23:27,840 --> 00:23:32,879 Speaker 1: That is false, one hundred percent false. It's a gentleman, 379 00:23:32,920 --> 00:23:36,359 Speaker 1: sure about that. Yes, In fact, I am sure about that. 380 00:23:36,400 --> 00:23:39,199 Speaker 1: And as the lead counsel in the first impeachment investigation, 381 00:23:39,280 --> 00:23:43,840 Speaker 1: we proved that he was actually fired because he was 382 00:23:44,200 --> 00:23:49,240 Speaker 1: not prosecuting corruption, not that he was fired because he 383 00:23:49,520 --> 00:23:54,920 Speaker 1: was prosecuting corruption. Corruption Act that the president's sons company 384 00:23:54,920 --> 00:23:58,200 Speaker 1: with gentleman yield corruption of the president's son's company. I'd 385 00:23:58,200 --> 00:24:02,320 Speaker 1: like to reclaim my time. I love this guy. So 386 00:24:02,400 --> 00:24:04,720 Speaker 1: let's go over what he just said here damn it 387 00:24:04,760 --> 00:24:07,240 Speaker 1: on the League Council on the first Trump impeachment. I'm 388 00:24:07,280 --> 00:24:09,320 Speaker 1: the one that was impeaching Donald Trump. You may have 389 00:24:09,440 --> 00:24:12,040 Speaker 1: recognized that voice because that was a voice you heard 390 00:24:12,080 --> 00:24:15,080 Speaker 1: the most during the Trump impeachment first time. And he 391 00:24:15,200 --> 00:24:18,520 Speaker 1: just claimed that Joe Biden never pressured Ukraine to fire 392 00:24:18,520 --> 00:24:21,399 Speaker 1: a prosecutor investigating Barisma where his son was on the board. 393 00:24:22,359 --> 00:24:26,160 Speaker 1: We know that the prosecutor was investigating his son's company, 394 00:24:26,200 --> 00:24:28,080 Speaker 1: that he was on the board Barisma, that's a fact. 395 00:24:28,760 --> 00:24:31,640 Speaker 1: But he says that Joe Biden never did this. All right, 396 00:24:31,800 --> 00:24:35,560 Speaker 1: let's go to Joe Biden. Here's Joe Biden, in his 397 00:24:35,640 --> 00:24:41,160 Speaker 1: own words, literally saying exactly the opposite of what the 398 00:24:41,280 --> 00:24:45,240 Speaker 1: lead prosecutor and Trump's first impeachment just said in front 399 00:24:45,240 --> 00:24:48,560 Speaker 1: of the Twitter executives as he's trying to protect them 400 00:24:48,600 --> 00:24:53,040 Speaker 1: because the entire ruse is falling apart in front of 401 00:24:53,040 --> 00:24:57,919 Speaker 1: the American people. I was not II, but it just 402 00:24:57,960 --> 00:25:00,040 Speaker 1: happened to be. That was the assignment I got. I 403 00:25:00,720 --> 00:25:04,360 Speaker 1: got all the good ones, and so I got Ukraine 404 00:25:04,520 --> 00:25:09,440 Speaker 1: and Uh. I remember going over convincing our team, our brothers, 405 00:25:09,600 --> 00:25:13,840 Speaker 1: to convincing that that we should be providing for loan guarantees. 406 00:25:13,880 --> 00:25:17,640 Speaker 1: And I went over, I guess the twelfth thirteenth time 407 00:25:17,720 --> 00:25:21,080 Speaker 1: to Kiev, and and I was going supposed to announce 408 00:25:21,200 --> 00:25:24,719 Speaker 1: that there was another billion dollars loan guarantee. And I 409 00:25:24,800 --> 00:25:29,680 Speaker 1: had gotten a commitment from Porshenko and from Yats and 410 00:25:29,760 --> 00:25:32,520 Speaker 1: Yoke that they would take action against the state prosecutor. 411 00:25:32,520 --> 00:25:34,959 Speaker 1: And they didn't. So they said they had They were 412 00:25:34,960 --> 00:25:36,760 Speaker 1: walking out to presume and said, Noah, I said, I'm 413 00:25:36,760 --> 00:25:38,879 Speaker 1: not going to We're not going to give you the 414 00:25:38,920 --> 00:25:42,119 Speaker 1: billion dollars. They said, you have no authority, you're not 415 00:25:42,160 --> 00:25:46,000 Speaker 1: the president. The president said, I said, call him. I said, 416 00:25:46,040 --> 00:25:48,680 Speaker 1: I'm telling you're not getting the billion dollars. I said, 417 00:25:48,760 --> 00:25:50,600 Speaker 1: you're not getting the billion. I'm gonna be leaving here. 418 00:25:50,600 --> 00:25:52,280 Speaker 1: And I think it was what six hours. I looked 419 00:25:52,280 --> 00:25:55,480 Speaker 1: as I'm leaving in six hours. If the prosecutors not fired, 420 00:25:55,560 --> 00:25:58,040 Speaker 1: you're not getting the money. Well, son of a bitch 421 00:25:59,520 --> 00:26:04,399 Speaker 1: got five. There's Biden on video saying he got the 422 00:26:04,440 --> 00:26:09,200 Speaker 1: guy fired, and this congressman who was the league counseled 423 00:26:09,240 --> 00:26:11,840 Speaker 1: and Pete Trump the first time claiming in front of 424 00:26:11,880 --> 00:26:14,119 Speaker 1: Congress today, that's a lie that Joe Biden pressure the 425 00:26:14,200 --> 00:26:18,959 Speaker 1: Ukrainian government to fire a prosecutor investigating Burisma. Joe Biden 426 00:26:18,960 --> 00:26:27,720 Speaker 1: emits this is real. Represent a major Marjorie Taylor Green 427 00:26:28,760 --> 00:26:33,320 Speaker 1: also speaking today to Joel Roth about saying and again 428 00:26:33,400 --> 00:26:36,000 Speaker 1: making this personal, because it is personal at this point. 429 00:26:36,640 --> 00:26:39,439 Speaker 1: You permanently banned my Twitter account, but you allow child 430 00:26:39,440 --> 00:26:43,119 Speaker 1: porn all over Twitter. This is a member of Congress 431 00:26:43,200 --> 00:26:46,720 Speaker 1: saying this. Listen carefully. So glad that your censored down. 432 00:26:46,760 --> 00:26:50,240 Speaker 1: I'm so glad you've lost your jobs. Thank god Elon 433 00:26:50,359 --> 00:26:53,240 Speaker 1: Musk bought Twitter. And you know what, let's talk about 434 00:26:53,280 --> 00:26:58,520 Speaker 1: something a little bit further. It's amazing to me, mister Roth, 435 00:26:58,640 --> 00:27:03,200 Speaker 1: as the head and trust of safety at Twitter, your 436 00:27:03,480 --> 00:27:07,639 Speaker 1: ability or should I say inability to remove child porn. 437 00:27:08,680 --> 00:27:12,120 Speaker 1: Now here's something that disgusted me about you and your 438 00:27:12,600 --> 00:27:17,359 Speaker 1: doctoral dissertation entitled gay Data. You argued that miners should 439 00:27:17,359 --> 00:27:24,560 Speaker 1: have access to grinder an adult male gay hookup app miners. Really. 440 00:27:25,640 --> 00:27:28,440 Speaker 1: You know, Lon must took over Twitter and he banned 441 00:27:28,520 --> 00:27:33,359 Speaker 1: forty four thousand accounts that were promoting child porn. You 442 00:27:33,480 --> 00:27:38,440 Speaker 1: permanently banned my Twitter account, but you allowed child porn 443 00:27:38,600 --> 00:27:42,920 Speaker 1: all over Twitter. Twitter had become a platform, you said, 444 00:27:43,000 --> 00:27:47,080 Speaker 1: connecting queer young adults. You also wrote on Twitter in 445 00:27:47,080 --> 00:27:50,520 Speaker 1: twenty ten, can high school students ever meaningfully consent to 446 00:27:50,600 --> 00:27:54,320 Speaker 1: sex with their teachers? In twenty twenty one, while you 447 00:27:54,320 --> 00:27:56,920 Speaker 1: were the director of Trust and Safety on Twitter, an 448 00:27:57,000 --> 00:28:01,159 Speaker 1: underaged boy and his mother announced the lawsuit against Twitter 449 00:28:02,359 --> 00:28:07,400 Speaker 1: because because Twitter was benefiting from and refused to remove 450 00:28:07,520 --> 00:28:12,760 Speaker 1: a lewd video featuring this boy and another minor. That 451 00:28:12,920 --> 00:28:17,160 Speaker 1: is repulsive. But you violated me. What were my tweets? Okay, 452 00:28:17,200 --> 00:28:19,920 Speaker 1: let's talk about them. I was talking about the deaths 453 00:28:19,920 --> 00:28:23,520 Speaker 1: being reported on vairs, by the way, that's on the 454 00:28:23,600 --> 00:28:27,879 Speaker 1: CDC website. I was also saying that I didn't think 455 00:28:27,960 --> 00:28:32,720 Speaker 1: the any entity should enforce a non DA, non FDA 456 00:28:32,800 --> 00:28:36,639 Speaker 1: approved vaccine or mask. Guess what, a lot of people 457 00:28:36,680 --> 00:28:40,120 Speaker 1: agreed with me, But you called that COVID misinformation. By 458 00:28:40,160 --> 00:28:44,280 Speaker 1: the way, I'm a member of Congress and you're not. Also, 459 00:28:44,400 --> 00:28:48,640 Speaker 1: said the controversial COVID nineteen vaccines should not be forced 460 00:28:48,680 --> 00:28:52,640 Speaker 1: on our military. You want to know something, Republicans stop that. 461 00:28:52,880 --> 00:28:59,480 Speaker 1: In the NDAA, ladies, time has expired. You could understand 462 00:28:59,520 --> 00:29:05,720 Speaker 1: why these Republicans are letting these people have it today. AOC, 463 00:29:06,000 --> 00:29:08,200 Speaker 1: by the way, isn't mad that children are being chemically 464 00:29:08,240 --> 00:29:12,360 Speaker 1: and surgically castrated. She really did everything she could defend 465 00:29:12,360 --> 00:29:16,120 Speaker 1: these people today. In fact, she was attacking libs of TikTok. 466 00:29:16,680 --> 00:29:20,600 Speaker 1: She also lied about Boston children Hospital giving hysterectomies to children. 467 00:29:21,160 --> 00:29:23,800 Speaker 1: AOC said that account is still on the platform, isn't 468 00:29:23,800 --> 00:29:27,640 Speaker 1: it your roth wrote back, or said back regrettably, yes 469 00:29:27,760 --> 00:29:33,160 Speaker 1: it is, Yes, it is, yes it is. So she 470 00:29:33,200 --> 00:29:35,360 Speaker 1: can go out there and lie, and they'll say, we 471 00:29:35,520 --> 00:29:40,680 Speaker 1: agree with your lie. AOC. Right, we agree with AOC 472 00:29:40,840 --> 00:29:47,440 Speaker 1: because she's one of us. She lied. Boston Children's Hospital, 473 00:29:47,480 --> 00:29:51,160 Speaker 1: by the way, is now offering gender affirmating hysterectomies for 474 00:29:51,280 --> 00:29:58,240 Speaker 1: young girls. And again AOC says that never happened. All right, 475 00:29:58,640 --> 00:30:00,920 Speaker 1: I'm going to prove that she's lie to you right now. 476 00:30:01,520 --> 00:30:07,760 Speaker 1: Listen carefully to AOC say this about Republicans who exposed it, 477 00:30:07,840 --> 00:30:12,480 Speaker 1: and they shut down again accounts for exposing what was 478 00:30:12,560 --> 00:30:15,640 Speaker 1: happening at Boston Children's Hospital. And I'm going to play 479 00:30:15,760 --> 00:30:19,720 Speaker 1: the audio from Boston Children's Hospital proving that we were 480 00:30:19,800 --> 00:30:22,959 Speaker 1: right when we exposed it. And here's the lie today 481 00:30:23,360 --> 00:30:27,120 Speaker 1: from AOC. Additionally, Miss Navarali, are you familiar with the 482 00:30:27,160 --> 00:30:31,440 Speaker 1: account libs of TikTok. I've heard of it from the news. Yes, 483 00:30:32,880 --> 00:30:36,760 Speaker 1: mister Roth, are you familiar with this account? Yes, ma'am 484 00:30:36,840 --> 00:30:40,720 Speaker 1: I am. Are you aware that from August eleven to 485 00:30:40,760 --> 00:30:46,080 Speaker 1: August sixteenth that account posted false information about Boston Children's Hospital, 486 00:30:46,360 --> 00:30:52,560 Speaker 1: claiming that they were providing hysterectomies two children. Yes, I 487 00:30:52,600 --> 00:30:54,680 Speaker 1: am aware of that and other claims from the account. 488 00:30:54,760 --> 00:30:57,400 Speaker 1: And are you aware that this lie was incirculated by 489 00:30:57,440 --> 00:31:02,880 Speaker 1: other prominent far right influencers. Yes? And are you aware 490 00:31:02,960 --> 00:31:07,479 Speaker 1: that all these claims which I have reiterated were false, 491 00:31:07,960 --> 00:31:11,520 Speaker 1: culminated in a real life harassment and ultimately a bomb 492 00:31:11,600 --> 00:31:15,960 Speaker 1: threat to the Boston Children's Hospital. Yes, I am aware. 493 00:31:16,560 --> 00:31:19,560 Speaker 1: And this account is still on that platform today, isn't 494 00:31:19,560 --> 00:31:24,080 Speaker 1: it regrettably? Yes? It is regrettably, yes it is, and 495 00:31:24,120 --> 00:31:26,320 Speaker 1: he doesn't work at Twitter anymore, but at least he's 496 00:31:26,320 --> 00:31:29,160 Speaker 1: showing his bias. Now. I want to I want to 497 00:31:29,160 --> 00:31:31,000 Speaker 1: make it clear I can dim anyone that makes bomb 498 00:31:31,000 --> 00:31:33,680 Speaker 1: threats for any political reason, for any reason for that matter. 499 00:31:34,800 --> 00:31:37,920 Speaker 1: But let's go back to the story about Boston Children's Hospital. 500 00:31:38,240 --> 00:31:42,400 Speaker 1: Who's not a lie? All libs of TikTok did in 501 00:31:42,440 --> 00:31:47,000 Speaker 1: August eleventh to twenty twenty two was repost a video 502 00:31:47,800 --> 00:31:55,640 Speaker 1: from Boston Childredren Hospital. This is what Boston Children's Hospital 503 00:31:55,760 --> 00:32:00,000 Speaker 1: put out on their own damn website. Dinner firming history 504 00:32:00,040 --> 00:32:03,320 Speaker 1: to me, is very similar to most hysterectomies that occur. 505 00:32:04,160 --> 00:32:07,480 Speaker 1: Hysterectomy itself is the removal of the uterus, the cervix, 506 00:32:07,520 --> 00:32:10,320 Speaker 1: which is the opening of the uterus, and the fallopian tubes, 507 00:32:10,320 --> 00:32:12,760 Speaker 1: which are attached to the sides of the uterus. Some 508 00:32:12,960 --> 00:32:16,360 Speaker 1: gender firming hysterectomies will also include the removal of the ovaries, 509 00:32:16,400 --> 00:32:19,720 Speaker 1: but that's technically a separate procedure called a bilateral ufrectomy, 510 00:32:20,000 --> 00:32:23,360 Speaker 1: and not every gender firming hysterectomomy includes that, and people 511 00:32:23,360 --> 00:32:25,800 Speaker 1: who are getting gender forming hysterectmees do not have to 512 00:32:25,840 --> 00:32:31,400 Speaker 1: have their ovaries removed. That is at Boston Children's Hospital 513 00:32:32,120 --> 00:32:39,320 Speaker 1: now offering gender affirming hysterectomies for young girls. And then 514 00:32:39,360 --> 00:32:43,560 Speaker 1: again you hear AOC today lie saying that never happened, 515 00:32:43,840 --> 00:32:49,280 Speaker 1: when that's exactly what did happen. These are the scumbags 516 00:32:49,360 --> 00:32:53,720 Speaker 1: at Twitter who were silencing, censoring, and shadow banning, including 517 00:32:53,760 --> 00:32:57,320 Speaker 1: the President of the United States of America, prominent conservatives 518 00:32:57,360 --> 00:33:00,320 Speaker 1: like myself who no one could see our tweet and 519 00:33:00,440 --> 00:33:03,520 Speaker 1: no one could find us when we tweeted things. That 520 00:33:03,640 --> 00:33:09,000 Speaker 1: is what was actually happening. And now that they've been caught, 521 00:33:09,120 --> 00:33:11,280 Speaker 1: they'll just lie to your face about it and tell 522 00:33:11,320 --> 00:33:14,720 Speaker 1: you they didn't do anything wrong. They'll tell you that 523 00:33:14,760 --> 00:33:18,520 Speaker 1: there was never a real story about Boston Children's Hospital 524 00:33:18,960 --> 00:33:23,240 Speaker 1: actually doing hysterectomies to young children, to women, and then 525 00:33:23,320 --> 00:33:26,880 Speaker 1: you can play them the audio from Boston Children's Hospital 526 00:33:27,040 --> 00:33:31,200 Speaker 1: telling you about their gender affirming hysterectomies. But they get 527 00:33:31,240 --> 00:33:33,959 Speaker 1: to sit there like AOC and flat out lie about it. 528 00:33:35,480 --> 00:33:37,680 Speaker 1: This is why it was important for the Republicans to 529 00:33:37,760 --> 00:33:39,959 Speaker 1: game back control of the House so that we can 530 00:33:40,040 --> 00:33:46,000 Speaker 1: have these questions. Former Twitter official and I'll end with 531 00:33:46,040 --> 00:33:50,400 Speaker 1: this describe Donald Trump articles and the reason why Donald 532 00:33:50,400 --> 00:33:54,360 Speaker 1: Trump needed to be censored this way article that it 533 00:33:54,400 --> 00:33:55,920 Speaker 1: was in. But it was a news article that I 534 00:33:55,960 --> 00:33:59,320 Speaker 1: had read in which the former president said that he 535 00:33:59,400 --> 00:34:02,920 Speaker 1: likes us out his tweets like little missiles. To me, 536 00:34:03,080 --> 00:34:06,640 Speaker 1: that sounded exactly like weaponization of a platform in his 537 00:34:06,720 --> 00:34:10,920 Speaker 1: own words, and yet Twitter was not concerned. And yet 538 00:34:10,960 --> 00:34:13,000 Speaker 1: Twitter was not concerned. So what did you do? I 539 00:34:13,080 --> 00:34:15,480 Speaker 1: took it upon myself to make sure that we banned him. 540 00:34:17,040 --> 00:34:21,280 Speaker 1: So Donald Trump, she says, he would send out little missiles. 541 00:34:21,640 --> 00:34:24,520 Speaker 1: That sounded to me like weaponizing of the platform in 542 00:34:24,600 --> 00:34:26,879 Speaker 1: his own words. So therefore, that's why we can ban 543 00:34:27,320 --> 00:34:32,279 Speaker 1: a sitting president of the United States of America. Wow, 544 00:34:33,880 --> 00:34:38,839 Speaker 1: share this podcast with your family and friends. Please, everybody 545 00:34:38,920 --> 00:34:43,120 Speaker 1: needs to hear Twitter being exposed. And I will see 546 00:34:43,160 --> 00:34:44,440 Speaker 1: you back here tomorrow.