1 00:00:11,657 --> 00:00:14,937 Speaker 1: You're listening to The Buck Sexton Show podcast, make sure 2 00:00:14,937 --> 00:00:17,977 Speaker 1: you subscribe to the podcast on the iHeartRadio app or 3 00:00:17,977 --> 00:00:23,337 Speaker 1: wherever you get your podcasts. Shoulder to Shoulder Shield Time, 4 00:00:23,977 --> 00:00:29,417 Speaker 1: Welcome to the Buck Sexton Show team. Welcome to the 5 00:00:29,457 --> 00:00:33,057 Speaker 1: Freedom Hot Thursday, December fifteenth edition of the program, one 6 00:00:33,097 --> 00:00:35,537 Speaker 1: of our last shows here on The Buck Sexton Show 7 00:00:35,697 --> 00:00:40,577 Speaker 1: of the year. We have people crying hypocrisy because Elon 8 00:00:40,697 --> 00:00:44,377 Speaker 1: Musk doesn't want his plane to be tracked by a 9 00:00:44,417 --> 00:00:48,617 Speaker 1: Twitter account. Will discuss that. Also, they're saying that TikTok, 10 00:00:48,697 --> 00:00:52,817 Speaker 1: speaking of social media is like Sentinel for your kids 11 00:00:52,817 --> 00:00:57,337 Speaker 1: because it's addictive and brainwashing. And I've got some slightly 12 00:00:57,377 --> 00:01:00,417 Speaker 1: contrarian thoughts on that one that I would very much 13 00:01:00,457 --> 00:01:03,577 Speaker 1: like to share with you. And then the House Intelligence 14 00:01:03,617 --> 00:01:07,417 Speaker 1: Committee has a report out republican report that says that yes, 15 00:01:07,457 --> 00:01:12,097 Speaker 1: there are indications that COVID came from his bio weapons 16 00:01:12,457 --> 00:01:15,977 Speaker 1: lab program, which would be a pretty damn big deal. 17 00:01:16,097 --> 00:01:19,897 Speaker 1: So we will discuss that. 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You're 36 00:02:11,617 --> 00:02:13,897 Speaker 1: gonna love your Geeza Dreamsheets. It's what I sleep on 37 00:02:14,217 --> 00:02:19,297 Speaker 1: every night. So they're very upset that Elon has a 38 00:02:19,297 --> 00:02:23,497 Speaker 1: Twitter account that he uses to say things that are truthful, 39 00:02:23,497 --> 00:02:27,577 Speaker 1: like if we lose the battle against Wokeness, then nothing 40 00:02:27,937 --> 00:02:33,737 Speaker 1: else matters. Right, we know this is something that bothers 41 00:02:33,777 --> 00:02:35,297 Speaker 1: them because I think there's a lot of truth in 42 00:02:35,297 --> 00:02:37,777 Speaker 1: it and people can see that. And Elon is now 43 00:02:37,777 --> 00:02:41,777 Speaker 1: incredibly influential. He's a billionaire who has decided that free 44 00:02:41,817 --> 00:02:47,537 Speaker 1: speech matters, and he has created a massive breach in 45 00:02:47,577 --> 00:02:51,297 Speaker 1: the formidable walls of censorship that the Democrats have erected 46 00:02:51,377 --> 00:02:55,137 Speaker 1: over the course of many decades. Now and in the 47 00:02:55,657 --> 00:03:00,657 Speaker 1: role in the realm rather of online spaces in particularly 48 00:03:00,657 --> 00:03:04,617 Speaker 1: the last ten years, they have just seized control and 49 00:03:04,977 --> 00:03:08,657 Speaker 1: use this to great effect in politics and just in 50 00:03:08,697 --> 00:03:12,217 Speaker 1: the culture as well. Now that doesn't mean it's going 51 00:03:12,257 --> 00:03:14,817 Speaker 1: to be a total free for all, and it shouldn't 52 00:03:14,817 --> 00:03:17,177 Speaker 1: be a total free for all. You know, we still 53 00:03:17,217 --> 00:03:21,137 Speaker 1: have rules, for example, against defamation, and we should so 54 00:03:21,177 --> 00:03:23,737 Speaker 1: if you say something that is provably untrue and malicious 55 00:03:23,737 --> 00:03:27,377 Speaker 1: and meant to denigrate somebody and cause them harm, you know, 56 00:03:27,417 --> 00:03:31,257 Speaker 1: you can't say that someone, for example, is a murderer 57 00:03:31,897 --> 00:03:36,377 Speaker 1: if there's no reason, there's no conviction, there's no basis 58 00:03:36,417 --> 00:03:41,017 Speaker 1: for that right. You can't defame somebody public figures. There's 59 00:03:41,017 --> 00:03:44,617 Speaker 1: some changes and exceptions into what the standard may be, 60 00:03:44,937 --> 00:03:47,097 Speaker 1: but there are basic rules that we all want observed 61 00:03:47,097 --> 00:03:50,937 Speaker 1: on Twitter. There's no not supposed to be I should say, 62 00:03:51,097 --> 00:03:55,257 Speaker 1: any pornography on Twitter. Fine, fine, that's something that we 63 00:03:55,297 --> 00:03:58,457 Speaker 1: can all agree on. But when it comes to individual safety, 64 00:03:58,897 --> 00:04:02,337 Speaker 1: it is fascinating that the Libs claim somebody using the 65 00:04:02,377 --> 00:04:07,937 Speaker 1: wrong pronouns for someone, or rather the appropriate biological pronouns, 66 00:04:07,977 --> 00:04:12,577 Speaker 1: but not the preferred ronown that that individual has. That 67 00:04:12,697 --> 00:04:17,257 Speaker 1: may change as well. That is like violence that might 68 00:04:17,297 --> 00:04:23,857 Speaker 1: as well just be actual, all out violence. It's not true, 69 00:04:23,857 --> 00:04:28,097 Speaker 1: it's crazy. But when it comes to doxing, the Libs 70 00:04:28,857 --> 00:04:31,537 Speaker 1: don't seem to have a problem with that because they 71 00:04:31,577 --> 00:04:33,297 Speaker 1: do this to conservatives and they used to get away 72 00:04:33,337 --> 00:04:36,657 Speaker 1: with us a lot of the time on social media 73 00:04:36,777 --> 00:04:39,977 Speaker 1: when Twitter was in the hands of the wokesters. And 74 00:04:40,177 --> 00:04:44,297 Speaker 1: one version of doxing is this Twitter account that was 75 00:04:44,337 --> 00:04:48,417 Speaker 1: constantly tracking Elon Musk's plane. Now you could say, oh, 76 00:04:48,457 --> 00:04:51,817 Speaker 1: but what's the big deal, Well, this means that someone 77 00:04:51,897 --> 00:04:54,457 Speaker 1: in real time knows where Elon Musk is heading and 78 00:04:54,497 --> 00:04:56,537 Speaker 1: where he will be. And when you're the richest man 79 00:04:56,537 --> 00:05:01,937 Speaker 1: in the world and you've upset the Democrat apparatus and 80 00:05:02,017 --> 00:05:03,777 Speaker 1: there are a lot of lunatics running around. I think 81 00:05:03,777 --> 00:05:07,017 Speaker 1: that our democracy is literally at stake. You might not 82 00:05:07,097 --> 00:05:09,737 Speaker 1: want people to know exactly where you're going to be 83 00:05:10,497 --> 00:05:14,857 Speaker 1: traveling or arriving at any point in time. And so 84 00:05:14,937 --> 00:05:17,497 Speaker 1: now they're saying it's hypocrisy, and I just say, no, 85 00:05:17,617 --> 00:05:20,777 Speaker 1: they're always supposed to be rules. But you see, they lost, 86 00:05:20,817 --> 00:05:22,937 Speaker 1: They've lost the argument about why they should just have 87 00:05:22,977 --> 00:05:25,937 Speaker 1: whatever rules they want, and so now they're saying, well, 88 00:05:25,937 --> 00:05:28,897 Speaker 1: because we have any rules, that's hypocritical. On Twitter, here 89 00:05:29,057 --> 00:05:32,737 Speaker 1: is Jack Sweeney who had this Twitter account shut down 90 00:05:32,777 --> 00:05:35,337 Speaker 1: that was tracking Elon Musk's plane. Here this is his 91 00:05:35,417 --> 00:05:39,257 Speaker 1: argument play four. Soon after Elon bought Twitter, he tweeted, 92 00:05:39,297 --> 00:05:42,457 Speaker 1: my commitment to free speech extends even to not banning 93 00:05:42,457 --> 00:05:45,537 Speaker 1: the account following my plane, even though that is a 94 00:05:45,617 --> 00:05:49,617 Speaker 1: direct personal safety risk. Now he tweeted that about a 95 00:05:49,657 --> 00:05:53,217 Speaker 1: month ago. Clearly he doesn't feel that way anymore. Yeah, 96 00:05:53,777 --> 00:05:57,057 Speaker 1: complete opposite of what he said. On Wednesday morning, Jack 97 00:05:57,097 --> 00:05:59,737 Speaker 1: woke up to news that his Elon jet account had 98 00:05:59,737 --> 00:06:03,017 Speaker 1: been suspended from Twitter, and in the afternoon, Twitter shut 99 00:06:03,017 --> 00:06:06,297 Speaker 1: down his personal account. I literally had just talked about 100 00:06:06,297 --> 00:06:08,737 Speaker 1: how the account is like the canary in the Colema. 101 00:06:08,897 --> 00:06:11,177 Speaker 1: It just shows that he can continue to do what 102 00:06:11,257 --> 00:06:13,817 Speaker 1: the last people did at Twitter, and they can bend 103 00:06:13,857 --> 00:06:16,737 Speaker 1: the rules and however which way they want, for whoever 104 00:06:16,777 --> 00:06:20,057 Speaker 1: they want. Now, you see, I know they're saying this 105 00:06:20,057 --> 00:06:24,697 Speaker 1: is hypocrisy. This is actually a judgment call that stays 106 00:06:24,737 --> 00:06:26,577 Speaker 1: within the realm of a principle that we can all 107 00:06:26,577 --> 00:06:29,097 Speaker 1: agree on, which is that you shouldn't be putting people's 108 00:06:29,137 --> 00:06:33,977 Speaker 1: personal locational identifiable information out there for all the world 109 00:06:34,017 --> 00:06:37,537 Speaker 1: to see. Right, It's not I don't want any And 110 00:06:37,617 --> 00:06:39,337 Speaker 1: there are so many libs that I disagree with, and 111 00:06:39,337 --> 00:06:41,177 Speaker 1: a lot of them I think are horrible people, but 112 00:06:41,257 --> 00:06:46,257 Speaker 1: I would never personally share or approve others sharing their 113 00:06:46,257 --> 00:06:49,137 Speaker 1: home address and phone number on Twitter, dosing them. Now, 114 00:06:49,177 --> 00:06:51,257 Speaker 1: libs do that to conservatives, of course, and cheer it 115 00:06:51,297 --> 00:06:55,737 Speaker 1: on because they're barbarians and they don't believe in civilization 116 00:06:55,977 --> 00:06:57,977 Speaker 1: and rules that get in the way of their power. 117 00:06:58,577 --> 00:07:02,577 Speaker 1: But in this case, okay, Elon changed his mind, change 118 00:07:02,617 --> 00:07:04,977 Speaker 1: his mind about whether this was so much of a 119 00:07:05,017 --> 00:07:10,577 Speaker 1: safety risk. So sure you can rightly criticize him him 120 00:07:10,697 --> 00:07:14,097 Speaker 1: for changing his mind and making the wrong call I 121 00:07:14,097 --> 00:07:16,537 Speaker 1: think the first time around. But now he's just realized, no, 122 00:07:16,657 --> 00:07:18,737 Speaker 1: I can't have the heat's too much, it's too much 123 00:07:18,777 --> 00:07:21,217 Speaker 1: of a security risk. I can't have people tracking me down. 124 00:07:21,817 --> 00:07:25,297 Speaker 1: But notice that they they hate Elon Musk and they actually, 125 00:07:25,337 --> 00:07:26,897 Speaker 1: I'm telling you, they want to know where he is. 126 00:07:26,977 --> 00:07:28,777 Speaker 1: They want to harass him, they want to pressure him, 127 00:07:28,817 --> 00:07:32,097 Speaker 1: and god knows what else. These libs are psychos. They 128 00:07:32,137 --> 00:07:35,817 Speaker 1: need total control of the conversation online or else. They 129 00:07:35,817 --> 00:07:39,657 Speaker 1: emotionally melt into nothingness because their ideas are garbage and 130 00:07:39,777 --> 00:07:45,217 Speaker 1: their thoughts cannot withstand even the most basic scrutiny from 131 00:07:45,657 --> 00:07:51,537 Speaker 1: reasonable minds. And then there's this TikTok situation, which I look, 132 00:07:51,577 --> 00:07:54,377 Speaker 1: I break with the GOP consensus on this, maybe because 133 00:07:54,617 --> 00:07:56,297 Speaker 1: I think TikTok's a lot of funder scroll through. I 134 00:07:56,377 --> 00:07:58,217 Speaker 1: was just gonna say it. I have TikTok. Oh my gosh, 135 00:07:58,217 --> 00:08:02,177 Speaker 1: the Chinese communist parties like you know, hiding under my bed. 136 00:08:03,217 --> 00:08:08,497 Speaker 1: All right, If TikTok is using using that platform to 137 00:08:08,737 --> 00:08:13,657 Speaker 1: sneak spyware onto the phones of millions and millions of 138 00:08:13,737 --> 00:08:18,057 Speaker 1: people in America, I want evidence, show me the proof 139 00:08:18,097 --> 00:08:21,217 Speaker 1: of that. That's obviously a big deal, and that should 140 00:08:21,257 --> 00:08:24,737 Speaker 1: that's something that we should take major action from, or 141 00:08:24,817 --> 00:08:29,257 Speaker 1: action against. UM including you know, trade and diplomatic sanction. 142 00:08:29,297 --> 00:08:31,497 Speaker 1: I mean that's a huge This would be like if 143 00:08:31,617 --> 00:08:34,857 Speaker 1: China found out that we were installing surveillance cameras all 144 00:08:35,097 --> 00:08:38,857 Speaker 1: all around Beijing under false pretenses, right, I mean, that's 145 00:08:38,897 --> 00:08:41,617 Speaker 1: not okay, And I don't I'm not. I'm not some 146 00:08:41,697 --> 00:08:44,577 Speaker 1: supertech expert on TikTok, but I keep hearing, Oh, but 147 00:08:44,697 --> 00:08:46,457 Speaker 1: you know, the information's all going to get back to 148 00:08:46,497 --> 00:08:51,177 Speaker 1: the Chinese Communist Party. I'm literally watching videos of people 149 00:08:51,217 --> 00:08:55,617 Speaker 1: cooking steaks, playing with the with English bulldogs, you know, 150 00:08:55,657 --> 00:08:59,977 Speaker 1: playing fetch with English bulldogs, and uh, you know, life 151 00:09:00,017 --> 00:09:02,577 Speaker 1: advice for how to get more sleep and more sunshine? Like, 152 00:09:02,617 --> 00:09:06,897 Speaker 1: what what is China gonna do with that? And really 153 00:09:06,937 --> 00:09:09,057 Speaker 1: think about this because I know they're I'm telling you, 154 00:09:09,097 --> 00:09:13,657 Speaker 1: the GOP likes to talk so tough about Communist China 155 00:09:13,697 --> 00:09:15,857 Speaker 1: because they don't really want to do anything about it. 156 00:09:16,617 --> 00:09:21,017 Speaker 1: Because if they're really concerned with what's happening with social 157 00:09:21,057 --> 00:09:24,377 Speaker 1: media and big tech influence and spying your life, look 158 00:09:24,417 --> 00:09:28,057 Speaker 1: at what Google is doing. These are basically when you're 159 00:09:28,057 --> 00:09:31,097 Speaker 1: talking about Google and YouTube and Facebook and Instagram, I 160 00:09:31,137 --> 00:09:33,097 Speaker 1: know that they own some of those owned the same 161 00:09:33,137 --> 00:09:36,697 Speaker 1: companies but you know what I mean, look at what 162 00:09:36,737 --> 00:09:40,097 Speaker 1: they're doing, and look at the way they influence the conversation. 163 00:09:40,137 --> 00:09:42,017 Speaker 1: Look at the way that they engage in censorship. They 164 00:09:42,017 --> 00:09:45,737 Speaker 1: elect presidents now folks okay, and they shut down people, 165 00:09:45,937 --> 00:09:50,857 Speaker 1: they deinternet. You, I think that's a much bigger deal. Well, 166 00:09:50,897 --> 00:09:54,737 Speaker 1: here we go, though. We've got a representative Gallagher saying 167 00:09:54,777 --> 00:09:59,017 Speaker 1: that TikTok is like digital fentanel and it's going for 168 00:09:59,097 --> 00:10:01,577 Speaker 1: your going after your kids play six. It is time 169 00:10:01,577 --> 00:10:04,697 Speaker 1: that we do something to stop TikTok from becoming the 170 00:10:04,737 --> 00:10:08,377 Speaker 1: most powerful media company in America because the fundamental problem 171 00:10:08,737 --> 00:10:11,097 Speaker 1: is that TikTok is owned by Bye Dance, and Byte 172 00:10:11,137 --> 00:10:14,577 Speaker 1: Dance is controlled by the Chinese Communist Party. That's why 173 00:10:14,777 --> 00:10:18,417 Speaker 1: FCC Commissioner Brandon Carr has called it digital fentanyl. Is 174 00:10:18,417 --> 00:10:21,417 Speaker 1: so of highly addictive, and ultimately you can trace it 175 00:10:21,457 --> 00:10:24,177 Speaker 1: back to the CCP. The issue is not just that 176 00:10:24,257 --> 00:10:27,777 Speaker 1: the CCP via Byte Dance via TikTok can track your location, 177 00:10:28,177 --> 00:10:31,737 Speaker 1: contract your keystrokes, can compile a dossier on you. The 178 00:10:31,777 --> 00:10:34,657 Speaker 1: issue increasingly is that a lot of young Americans get 179 00:10:34,697 --> 00:10:38,737 Speaker 1: their news from TikTok, which will allow TikTok to censor 180 00:10:39,377 --> 00:10:45,177 Speaker 1: news according to the dictates of the Chinese Communist Party. Okay, 181 00:10:45,497 --> 00:10:49,337 Speaker 1: as opposed to say what Google does right now or 182 00:10:49,377 --> 00:10:53,417 Speaker 1: what Twitter was doing before Elon bought it, throwing elections. 183 00:10:54,377 --> 00:10:57,337 Speaker 1: You know, really, I have to wonder, And also why 184 00:10:57,377 --> 00:10:59,817 Speaker 1: not then just say we should have an American competitor 185 00:10:59,817 --> 00:11:04,657 Speaker 1: built at TikTok asap that's that's housed here. This notion 186 00:11:04,697 --> 00:11:07,657 Speaker 1: of it's so addictive, it's like fentanyl. All social media 187 00:11:07,777 --> 00:11:09,777 Speaker 1: is meant to be addictive. That's why these are such 188 00:11:10,177 --> 00:11:15,177 Speaker 1: enormous companies with such unbelievable value, and they're all spying 189 00:11:15,217 --> 00:11:17,377 Speaker 1: on you. This is the world we live in now. 190 00:11:17,577 --> 00:11:20,017 Speaker 1: They're all taking it. They're all just sucking up your data. 191 00:11:20,097 --> 00:11:24,257 Speaker 1: They're all compiling it and analyzing it and the algorithms. So, 192 00:11:24,897 --> 00:11:27,777 Speaker 1: all right, if we're going to talk about this with TikTok, 193 00:11:27,817 --> 00:11:29,377 Speaker 1: we should talk about this with a whole lot more 194 00:11:29,417 --> 00:11:33,417 Speaker 1: than just TikTok, shouldn't we? You know, I just I 195 00:11:33,457 --> 00:11:35,657 Speaker 1: think it's I honestly think it's a way for a 196 00:11:35,657 --> 00:11:38,017 Speaker 1: lot of Republican Look, if you're if you're in the 197 00:11:38,497 --> 00:11:41,217 Speaker 1: intelligence community, you're a military, you're in the military of 198 00:11:41,217 --> 00:11:44,217 Speaker 1: a clearance. Yeah, I don't. I would err on the 199 00:11:44,217 --> 00:11:46,657 Speaker 1: side of caution, don't be on TikTok, but this idea 200 00:11:46,697 --> 00:11:50,177 Speaker 1: that we're going to ban it because otherwise Americans personal 201 00:11:50,297 --> 00:11:54,057 Speaker 1: data is all going right to China. My understanding is 202 00:11:54,097 --> 00:11:58,057 Speaker 1: that TikTok is operated here in the US and that 203 00:11:58,177 --> 00:12:01,977 Speaker 1: it's on US servers. If that information is being siphoned 204 00:12:01,977 --> 00:12:05,337 Speaker 1: off to China and then then talk about that. They 205 00:12:05,417 --> 00:12:08,337 Speaker 1: never give any specifics on this, and by the way, 206 00:12:08,417 --> 00:12:11,697 Speaker 1: I'm open to finding out. Oh I'm wrong, TikTok is 207 00:12:11,737 --> 00:12:14,177 Speaker 1: a huge security risk for everybody. I'm open to that. 208 00:12:14,457 --> 00:12:16,897 Speaker 1: But I just need an explanation because if they can 209 00:12:16,937 --> 00:12:20,737 Speaker 1: ban TikTok because it's so scary China, what else can 210 00:12:20,737 --> 00:12:24,257 Speaker 1: they just ban? They just had Twitter get bought. Do 211 00:12:24,257 --> 00:12:26,257 Speaker 1: you think they're happy about who's running Twitter right now? 212 00:12:26,337 --> 00:12:30,537 Speaker 1: What else can the government ben? It's scary? Oh, too 213 00:12:30,537 --> 00:12:32,657 Speaker 1: many people like it. They spend too much time on it. 214 00:12:33,017 --> 00:12:35,137 Speaker 1: Bad people are going to be determining what you see 215 00:12:35,177 --> 00:12:39,217 Speaker 1: in the news. You know, I understand right now. I 216 00:12:39,257 --> 00:12:41,337 Speaker 1: know the winds of the GOP are blowing against this. 217 00:12:41,457 --> 00:12:46,297 Speaker 1: Verbe's like, oh, yeah, TikTok China. I learned how to 218 00:12:46,297 --> 00:12:48,337 Speaker 1: cook better steaks, how to get a better seer on 219 00:12:48,377 --> 00:12:52,097 Speaker 1: the side of my RIBI from TikTok. I don't think 220 00:12:52,097 --> 00:12:57,177 Speaker 1: Shijin paying is gonna do all that much with that information. Oh, 221 00:12:57,337 --> 00:13:00,377 Speaker 1: they know he knows where you are, Yeah, in America. 222 00:13:00,697 --> 00:13:04,737 Speaker 1: And honestly, I think I'm not saying there's nothing there. 223 00:13:04,777 --> 00:13:06,617 Speaker 1: I just think it's a little exaggerated, and I want 224 00:13:06,617 --> 00:13:09,817 Speaker 1: more specifics, and I also want to explain to me 225 00:13:10,697 --> 00:13:13,377 Speaker 1: how this is so, how these concerns don't also exist 226 00:13:13,417 --> 00:13:16,137 Speaker 1: for the US based companies that are run by commies 227 00:13:16,177 --> 00:13:18,217 Speaker 1: who are trying to destroy the country. I'm just putting 228 00:13:18,257 --> 00:13:20,457 Speaker 1: that out there. It's really easy if you're a member 229 00:13:20,457 --> 00:13:22,577 Speaker 1: of a Congress, because you can't get money from the CCP. 230 00:13:22,697 --> 00:13:25,777 Speaker 1: At least you're not supposed to talk tough on TikTok, 231 00:13:25,897 --> 00:13:28,257 Speaker 1: but not a lot of tough talk about Google. I 232 00:13:28,257 --> 00:13:32,777 Speaker 1: wonder where that is. My friend's real estate is a 233 00:13:32,817 --> 00:13:36,417 Speaker 1: good sound strategy over the long term for building well. 234 00:13:36,417 --> 00:13:37,457 Speaker 1: If you know this, you want to be a real 235 00:13:37,577 --> 00:13:40,777 Speaker 1: estate investor, You're owning a tangible asset, something that increases 236 00:13:40,817 --> 00:13:42,777 Speaker 1: in value over time. You can do really well with 237 00:13:42,817 --> 00:13:44,897 Speaker 1: it and can give you a free cash flow every month, 238 00:13:44,937 --> 00:13:47,737 Speaker 1: which is fantastic in retirement. But what house do you buy? 239 00:13:47,737 --> 00:13:50,577 Speaker 1: Where do you invest? What makes sense? Do you know 240 00:13:50,577 --> 00:13:53,657 Speaker 1: how to crunch all those numbers? Do you have spreadsheets 241 00:13:53,697 --> 00:13:56,337 Speaker 1: on spreadsheets on spreadsheets with all the data to know 242 00:13:56,577 --> 00:13:58,617 Speaker 1: what home values are in an area, what the average 243 00:13:58,617 --> 00:14:01,537 Speaker 1: rental is in the area. No, I don't, but my 244 00:14:01,537 --> 00:14:03,457 Speaker 1: friends have done for your real estate of all that. 245 00:14:03,457 --> 00:14:06,457 Speaker 1: That's why I bought multiple houses through them. Done for 246 00:14:06,537 --> 00:14:09,337 Speaker 1: You real Estate is a real estate investment company that's 247 00:14:09,337 --> 00:14:11,337 Speaker 1: been doing this for thou of people. And what they 248 00:14:11,337 --> 00:14:12,977 Speaker 1: do is they take you through every step of the 249 00:14:13,017 --> 00:14:16,057 Speaker 1: real estate investment process, so you becoming you own the house. 250 00:14:16,137 --> 00:14:18,337 Speaker 1: You're you're the one doing all this, but they take 251 00:14:18,377 --> 00:14:20,937 Speaker 1: you through every steps. You're making smart decisions. You have 252 00:14:21,057 --> 00:14:25,137 Speaker 1: advice and guidance along the way. Go to Done for 253 00:14:25,257 --> 00:14:27,617 Speaker 1: You Buck dot com to see how this works. To 254 00:14:27,617 --> 00:14:30,697 Speaker 1: become a real estate investor today. That's done for you, 255 00:14:30,777 --> 00:14:33,697 Speaker 1: Buck dot com. One more time, Done for you Buck 256 00:14:33,737 --> 00:14:37,657 Speaker 1: dot com to begin your real estate investment journey. Done 257 00:14:37,657 --> 00:14:41,537 Speaker 1: for you, Buck dot Com. Now here's from the House 258 00:14:41,657 --> 00:14:47,497 Speaker 1: Intelligence Committee Republican report indications that COVID came from China's 259 00:14:47,577 --> 00:14:54,337 Speaker 1: bioweapons program play clip seven. Now this latest report from 260 00:14:54,337 --> 00:14:58,137 Speaker 1: Republicans on the House Intelligence Committee, in if they claim, quote, 261 00:14:58,137 --> 00:15:01,457 Speaker 1: based on our investigation involving a variety of public and 262 00:15:01,817 --> 00:15:06,257 Speaker 1: non public information, we conclude that there are indications that 263 00:15:06,377 --> 00:15:09,977 Speaker 1: SARS COVID two may have been tied to China's biolog 264 00:15:10,057 --> 00:15:13,417 Speaker 1: logical weapons research program and spilled over to the human 265 00:15:13,457 --> 00:15:17,377 Speaker 1: population during a lab related incident at the Wuhan Institute 266 00:15:17,457 --> 00:15:21,817 Speaker 1: of Virology. They say the intelligence community downplayed important information 267 00:15:22,137 --> 00:15:25,937 Speaker 1: and links between China's bioweapons research and COVID nineteen. The 268 00:15:26,017 --> 00:15:30,817 Speaker 1: Republicans also say US intelligence agencies refused to answer their questions. 269 00:15:33,497 --> 00:15:35,137 Speaker 1: We all know this came from a lab at this point, 270 00:15:35,257 --> 00:15:42,857 Speaker 1: right if it came from a biological zoonotic transmission from 271 00:15:42,897 --> 00:15:46,537 Speaker 1: one animal species to another, from bats to pangolins too. 272 00:15:46,577 --> 00:15:48,057 Speaker 1: I think they got rid of the penguins now in 273 00:15:48,057 --> 00:15:49,657 Speaker 1: this whole process. But I had to look up what 274 00:15:49,657 --> 00:15:51,537 Speaker 1: a pangolin was. I mean, who the heck even knew 275 00:15:51,537 --> 00:15:54,457 Speaker 1: what a pangolin was. Somebody probably did, but very few. 276 00:15:54,697 --> 00:15:57,337 Speaker 1: I didn't know what it was at the start of 277 00:15:57,337 --> 00:15:59,737 Speaker 1: this whole process, and by the way, I wouldn't want 278 00:15:59,777 --> 00:16:01,217 Speaker 1: one as a pet. I wouldn't want to eat one either. 279 00:16:01,257 --> 00:16:04,617 Speaker 1: I don't know a penguin's it's a strange looking creature. 280 00:16:06,097 --> 00:16:08,577 Speaker 1: But yeah, this probably came from a lab, and I 281 00:16:08,617 --> 00:16:10,217 Speaker 1: think it's important we get to the bottom of this. 282 00:16:11,137 --> 00:16:14,217 Speaker 1: But I also think I'm here to remind everybody. Let's 283 00:16:14,257 --> 00:16:16,257 Speaker 1: say we have smoking gun proof. We realize this came 284 00:16:16,257 --> 00:16:19,017 Speaker 1: from China. What are we going to do about it? 285 00:16:19,937 --> 00:16:21,937 Speaker 1: What are the elites in this country think about this 286 00:16:21,977 --> 00:16:23,417 Speaker 1: for a second? What are we really going to do 287 00:16:23,457 --> 00:16:26,257 Speaker 1: about it? First of all, China is going to say, okay. 288 00:16:26,537 --> 00:16:28,177 Speaker 1: First of all, they're never going to admit that it 289 00:16:28,217 --> 00:16:31,457 Speaker 1: did come from one of their labs. But they're gonna say, well, 290 00:16:31,497 --> 00:16:35,097 Speaker 1: even if it did, it was obviously an accident. Stuff happens, 291 00:16:35,577 --> 00:16:39,737 Speaker 1: diseases sprout up in places. So I don't want I 292 00:16:40,017 --> 00:16:42,737 Speaker 1: don't want to be misinterpreted here. It's important to know 293 00:16:43,377 --> 00:16:48,657 Speaker 1: because there are, for example, implications for gain of function research. 294 00:16:48,657 --> 00:16:50,777 Speaker 1: Should we ever be doing this, Should this be allowed anywhere? 295 00:16:50,817 --> 00:16:54,937 Speaker 1: Should there be international conventions against gain of function research 296 00:16:54,977 --> 00:16:56,737 Speaker 1: like we have with nuclear weapons that we know there's 297 00:16:56,737 --> 00:17:00,217 Speaker 1: still nuclear weapons out there, but there are ways that 298 00:17:00,257 --> 00:17:04,657 Speaker 1: we try to regulate it. Internationally should this. I think 299 00:17:04,657 --> 00:17:06,897 Speaker 1: this should result in in that kind of thinking and 300 00:17:07,017 --> 00:17:11,817 Speaker 1: change processes. But for anyone who believes, oh, well, once 301 00:17:11,857 --> 00:17:14,937 Speaker 1: we find out that China is the source of this, 302 00:17:15,017 --> 00:17:17,937 Speaker 1: and then even if it comes from a Chinese bioweapons 303 00:17:18,017 --> 00:17:21,257 Speaker 1: research laboratory, even if let's say, what's going on the 304 00:17:21,257 --> 00:17:25,257 Speaker 1: Wuhan Institute of Virology was more nefarious than we had 305 00:17:25,297 --> 00:17:29,857 Speaker 1: even previously thought, the US and international response to this 306 00:17:29,897 --> 00:17:34,737 Speaker 1: will probably be precisely nothing. I mean, if you think 307 00:17:34,777 --> 00:17:36,937 Speaker 1: I'm wrong, please let me know how and why? What 308 00:17:37,137 --> 00:17:39,937 Speaker 1: are we gonna do? We're not gonnnna war with China 309 00:17:39,977 --> 00:17:42,257 Speaker 1: over this wouldn't be smart too. What are we gonna do. 310 00:17:42,497 --> 00:17:44,577 Speaker 1: We're gonna say, we're really upset about the virus that 311 00:17:44,697 --> 00:17:46,097 Speaker 1: escape that killed a lot of people, so now we're 312 00:17:46,097 --> 00:17:48,057 Speaker 1: gonna fight a war to punish you. And this is insane, 313 00:17:48,617 --> 00:17:50,817 Speaker 1: So we're not gonna do anything about it. In that regard, 314 00:17:50,977 --> 00:17:52,737 Speaker 1: you think any US companies are gonna want to get 315 00:17:52,777 --> 00:17:56,177 Speaker 1: into a more difficult economics, especially considering we might be 316 00:17:56,257 --> 00:17:58,217 Speaker 1: heading in to recession next year. Look, I'm just here 317 00:17:58,257 --> 00:18:00,777 Speaker 1: to speak the truth. So I just want to understand, Well, 318 00:18:00,777 --> 00:18:02,857 Speaker 1: while it's Republicans love. This is a you know, there's 319 00:18:02,857 --> 00:18:05,937 Speaker 1: a little bit of a Benghazi situation here where people 320 00:18:05,937 --> 00:18:08,777 Speaker 1: were pounding the table so they could get cable news 321 00:18:08,817 --> 00:18:11,617 Speaker 1: jobs later on. Members of there's pounding the table about Benghazi, 322 00:18:11,657 --> 00:18:15,257 Speaker 1: who was held accountable for Benghazi, who went to prison 323 00:18:16,177 --> 00:18:19,617 Speaker 1: for abandoning those those Americans on the ground, and we 324 00:18:19,657 --> 00:18:21,657 Speaker 1: lost four brave Americans at night who went to prison. 325 00:18:21,777 --> 00:18:28,897 Speaker 1: Nobody Barack Obama one. Hillary Clinton is evaded all forms 326 00:18:28,897 --> 00:18:35,017 Speaker 1: of justice. So let's just understand with this the hearings 327 00:18:35,017 --> 00:18:38,417 Speaker 1: we're gonna do about about China and the woo hunt 328 00:18:38,457 --> 00:18:41,697 Speaker 1: in stud virology. Other people are gonna tell you, yeah, yeah, 329 00:18:41,777 --> 00:18:44,057 Speaker 1: we're gonna go, We're gonna get We're gonna show the 330 00:18:44,137 --> 00:18:46,377 Speaker 1: Chinese Communist Party that you know, we're onto them for 331 00:18:46,457 --> 00:18:50,537 Speaker 1: what they did here. Okay, it is worth doing. Nothing 332 00:18:50,577 --> 00:18:55,017 Speaker 1: will come of it. Otherwise, what what are we gonna do. 333 00:18:56,057 --> 00:18:58,457 Speaker 1: We're gonna tell China don't do that again. They'll say, sure, 334 00:18:58,577 --> 00:19:00,417 Speaker 1: How do we know whether they're gonna do it again 335 00:19:00,497 --> 00:19:04,857 Speaker 1: or not? We don't. So let's all be very very 336 00:19:04,857 --> 00:19:09,337 Speaker 1: clear eyed about what hearings and Republicans pounding the table 337 00:19:09,377 --> 00:19:11,377 Speaker 1: and different things in Congress can accomplish what they can. 338 00:19:11,817 --> 00:19:14,137 Speaker 1: Getting to the truth about the origins of the virus 339 00:19:14,217 --> 00:19:18,737 Speaker 1: is important from a biomedical safety perspective, no question, But 340 00:19:19,137 --> 00:19:24,617 Speaker 1: accountability not gonna be any accountability. I mean an accountability 341 00:19:24,617 --> 00:19:27,137 Speaker 1: for the Chinese communist paraty doing that, or a whole 342 00:19:27,257 --> 00:19:31,257 Speaker 1: range of other things that are particularly upsetting to America 343 00:19:31,257 --> 00:19:34,577 Speaker 1: into the whole world. So just one more random thought. 344 00:19:34,657 --> 00:19:37,977 Speaker 1: You guys know that there's there's actually a movie coming 345 00:19:37,977 --> 00:19:40,497 Speaker 1: out in January. It's Christian Bale movie. It's called The 346 00:19:40,497 --> 00:19:44,697 Speaker 1: Pale Blue Eye, and John Fetterman is in it. I 347 00:19:44,777 --> 00:19:48,497 Speaker 1: just found this out. My mind was blown. Fetterman is 348 00:19:48,537 --> 00:19:54,817 Speaker 1: in a movie about like eighteen eighties murder mystery revolving 349 00:19:54,817 --> 00:19:59,177 Speaker 1: around West Point the Military Academy, and Christian Bale knew 350 00:19:59,217 --> 00:20:02,777 Speaker 1: Fetterman from when they filmed the movie in Braddock, Pennsylvania, 351 00:20:02,857 --> 00:20:05,097 Speaker 1: and decided that he should be in this movie. I'm 352 00:20:05,097 --> 00:20:10,697 Speaker 1: sitting here like, mind blown. I had had no idea. Folks. 353 00:20:10,697 --> 00:20:13,137 Speaker 1: It's a crazy world we live in, you know, going 354 00:20:13,137 --> 00:20:15,657 Speaker 1: into the holiday season, just remember, hold your loved ones close, 355 00:20:16,097 --> 00:20:20,857 Speaker 1: enjoy yourself, have a good time. Because having a sense 356 00:20:20,897 --> 00:20:23,257 Speaker 1: of humor about this this wild crazy world we live. 357 00:20:23,257 --> 00:20:26,737 Speaker 1: It is very very important. I'm not going to be 358 00:20:26,817 --> 00:20:29,417 Speaker 1: podcasting for a few days after this. I'm gonna try 359 00:20:29,457 --> 00:20:31,257 Speaker 1: to do some more next week before we get into 360 00:20:31,257 --> 00:20:34,057 Speaker 1: the holiday season, and we are going to be launching 361 00:20:34,097 --> 00:20:41,657 Speaker 1: with video with guests for next year, so that's gonna 362 00:20:41,697 --> 00:20:45,377 Speaker 1: mean we're gonna start doing more long form conversation with guests. 363 00:20:45,417 --> 00:20:48,097 Speaker 1: We're gonna have the studio hopefully finally built around me 364 00:20:48,097 --> 00:20:50,097 Speaker 1: for those of you who are watching on Rumble or YouTube. 365 00:20:50,457 --> 00:20:52,977 Speaker 1: So we're excited about all that, and I want to appreciate. 366 00:20:52,977 --> 00:20:54,537 Speaker 1: I want to say thank you because I appreciate so 367 00:20:54,617 --> 00:20:56,097 Speaker 1: much those of you who listen to this podcast. I 368 00:20:56,137 --> 00:20:58,217 Speaker 1: know there's a lot of stuff out there, but there's 369 00:20:58,217 --> 00:20:59,337 Speaker 1: a lot of fun and it's a way for me 370 00:20:59,377 --> 00:21:03,097 Speaker 1: to reach all of you individually or just me as 371 00:21:03,097 --> 00:21:05,057 Speaker 1: an individual speaking to all of you, which is a 372 00:21:05,057 --> 00:21:09,497 Speaker 1: good time. So Merry Christmas and Happy New Year. Shields 373 00:21:09,537 --> 00:21:10,337 Speaker 1: High