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 --> 00:00:17,577 Speaker 1: you subscribe to the podcast on the iHeart Radio app 3 00:00:17,857 --> 00:00:21,217 Speaker 1: or wherever you get your podcasts. Hey, everybody, Welcome to 4 00:00:21,257 --> 00:00:24,617 Speaker 1: another episode of The Buck Sexton Show Deep Dive Session 5 00:00:25,017 --> 00:00:31,697 Speaker 1: with the asked for the greatly anticipated Rogan o'hanley, best 6 00:00:31,737 --> 00:00:34,657 Speaker 1: known to many of you as DC drain No. He 7 00:00:34,737 --> 00:00:38,017 Speaker 1: is DC Draino on Twitter, on Instagram, on all the 8 00:00:38,057 --> 00:00:42,137 Speaker 1: places where he shares his memes, his commentary, and his 9 00:00:42,297 --> 00:00:45,657 Speaker 1: fighting for America. Rogan, which I have to remember to 10 00:00:45,657 --> 00:00:48,337 Speaker 1: call you because you'd not actually call you DC Drado, 11 00:00:48,457 --> 00:00:51,497 Speaker 1: but Rogan, you call me Drado. That's fine, Draino. That's cool. 12 00:00:51,737 --> 00:00:53,617 Speaker 1: Good to see you, man. How are you. How's everything going. 13 00:00:54,977 --> 00:00:57,537 Speaker 1: I'm doing well. I've got my Florida Man shirt on 14 00:00:57,977 --> 00:01:00,737 Speaker 1: to honor the great land that we live in. But 15 00:01:01,297 --> 00:01:02,977 Speaker 1: thank you for having me on, brother, Thank you. Well, 16 00:01:02,977 --> 00:01:06,097 Speaker 1: you know I'm I'm a Florida transplant as well, and 17 00:01:06,137 --> 00:01:07,937 Speaker 1: I just look like a guy who threw in a 18 00:01:07,937 --> 00:01:10,377 Speaker 1: T shirt after waking up from a nap, which I 19 00:01:10,417 --> 00:01:13,457 Speaker 1: also feel like is very Florida in its own way. 20 00:01:14,897 --> 00:01:17,337 Speaker 1: There was a great meme. It's a what's something that's 21 00:01:17,457 --> 00:01:20,897 Speaker 1: classy if you're rich, but trashy if you're poor. And 22 00:01:20,977 --> 00:01:25,097 Speaker 1: the guy goes Florida. I saw that. Are you a 23 00:01:25,097 --> 00:01:29,297 Speaker 1: wide range? Are you active on on? You know, there's 24 00:01:29,297 --> 00:01:32,577 Speaker 1: whole many, so many things you saw. You saw Trump recently. 25 00:01:32,617 --> 00:01:35,057 Speaker 1: I want to ask you about that. You know, how 26 00:01:35,217 --> 00:01:38,377 Speaker 1: is the Trump camp doing right now? What do you 27 00:01:38,417 --> 00:01:41,457 Speaker 1: think about twenty twenty forty? Are you sure Biden, for example, 28 00:01:41,577 --> 00:01:44,577 Speaker 1: is going to run. We've got He's Palestine to discuss 29 00:01:45,537 --> 00:01:47,697 Speaker 1: a whole whole range of things that I want to 30 00:01:47,737 --> 00:01:51,217 Speaker 1: get today with you. But TikTok, you know, they they're 31 00:01:51,297 --> 00:01:53,777 Speaker 1: moving closer and closer it seems to actually banning it. 32 00:01:53,857 --> 00:01:56,537 Speaker 1: Are you active on TikTok? Are are you an anti 33 00:01:56,617 --> 00:01:59,817 Speaker 1: TikTok guy? Because you know you've built this massive presence 34 00:02:00,137 --> 00:02:04,457 Speaker 1: millions of people on Instagram and other platforms. What do 35 00:02:04,457 --> 00:02:07,977 Speaker 1: you think about TikTok? So when TikTok first came out, 36 00:02:08,057 --> 00:02:12,337 Speaker 1: I jumped all over it. I quickly felt very uncomfortable 37 00:02:12,377 --> 00:02:16,817 Speaker 1: and far too old for TikTok, And it was tough 38 00:02:16,937 --> 00:02:21,017 Speaker 1: to relay my type of content, which is very anti 39 00:02:21,097 --> 00:02:25,577 Speaker 1: Deep State, to such a young, specifically young audience. You know, 40 00:02:25,617 --> 00:02:27,977 Speaker 1: on Instagram, you get such a wide range, but especially 41 00:02:28,017 --> 00:02:31,457 Speaker 1: in people in their thirties and forties. For TikTok, it 42 00:02:31,537 --> 00:02:36,177 Speaker 1: was tough. So I got like two hundred thousand followers 43 00:02:36,177 --> 00:02:39,977 Speaker 1: on there, but then I kept getting censored and it 44 00:02:40,097 --> 00:02:43,897 Speaker 1: was the most censored platform out of all of them, 45 00:02:43,897 --> 00:02:46,097 Speaker 1: which is saying something, and so I gave up. I 46 00:02:46,137 --> 00:02:49,857 Speaker 1: didn't post for like two years, and I just deleted 47 00:02:49,857 --> 00:02:52,977 Speaker 1: it right around the Chinese spy balloon incident because I 48 00:02:53,017 --> 00:02:56,897 Speaker 1: was like, how am I gonna, you know, talk about 49 00:02:56,897 --> 00:02:59,777 Speaker 1: the surveillance balloon while I still have the surveillance app 50 00:02:59,857 --> 00:03:04,457 Speaker 1: on my phone? So I am, you know, completely off TikTok. 51 00:03:04,577 --> 00:03:06,297 Speaker 1: And I guess, why do they even need the balloons? 52 00:03:06,297 --> 00:03:09,137 Speaker 1: If everyone's you're carrying around the surveillance balloon in your hand. 53 00:03:09,177 --> 00:03:10,697 Speaker 1: At least that's what they're tal on us. That's what 54 00:03:10,897 --> 00:03:13,457 Speaker 1: That's what TikTok actually is. I'd say I like to 55 00:03:13,537 --> 00:03:18,017 Speaker 1: watch TikTok sometimes just because if you're into quick recipes, 56 00:03:18,457 --> 00:03:24,697 Speaker 1: grilling meat, homemade knives and tools, but particularly there's a 57 00:03:24,737 --> 00:03:27,417 Speaker 1: lot of blade smiths on TikTok, Like there's cool content 58 00:03:27,457 --> 00:03:29,857 Speaker 1: on there. Unfortunately, there has nothing to do with China. 59 00:03:30,137 --> 00:03:33,497 Speaker 1: Chinese Communist Party, but apparently it's carrying around a spy 60 00:03:33,537 --> 00:03:36,737 Speaker 1: balloon in your hand, which is probably not a good thing. Yeah, 61 00:03:36,777 --> 00:03:40,297 Speaker 1: I mean it's a very addictive platform. I used to, 62 00:03:40,737 --> 00:03:42,857 Speaker 1: you know, look at it a fair amount. I really 63 00:03:42,857 --> 00:03:44,897 Speaker 1: haven't looked at that much in the last couple of years. 64 00:03:44,937 --> 00:03:50,577 Speaker 1: But I am actually very pro banning TikTok. For one, 65 00:03:50,777 --> 00:03:54,337 Speaker 1: it will get rid of a you know, Chinese spy 66 00:03:54,577 --> 00:03:58,417 Speaker 1: platform in the United States. And two, all those people 67 00:03:58,417 --> 00:04:01,577 Speaker 1: are going to disperse across other platforms where you and 68 00:04:01,617 --> 00:04:06,457 Speaker 1: I are far more prominent and where we enjoy those 69 00:04:06,497 --> 00:04:10,777 Speaker 1: platforms more. And so I think it actually helps um 70 00:04:11,097 --> 00:04:13,817 Speaker 1: the other platforms. I wouldn't be surprised if the people 71 00:04:13,897 --> 00:04:20,257 Speaker 1: leading the charge against it are Facebook, Google, you know, uh, Snapchat, etc. 72 00:04:20,617 --> 00:04:25,417 Speaker 1: Because they're such a strong Ti TikTok is definitely beating 73 00:04:25,457 --> 00:04:28,617 Speaker 1: all the other platforms. You know, Snapchat for a little 74 00:04:28,617 --> 00:04:31,977 Speaker 1: while was the kind of young, you know, the next 75 00:04:32,017 --> 00:04:35,457 Speaker 1: generation platform that was really scaring Facebook and all that. 76 00:04:35,537 --> 00:04:38,937 Speaker 1: But I think Snapchat has really has really fallen off. Also, 77 00:04:38,977 --> 00:04:40,617 Speaker 1: this whole idea that people have of like, oh, you 78 00:04:40,617 --> 00:04:42,737 Speaker 1: can take a photo or whatever incentive somebody and it 79 00:04:42,737 --> 00:04:45,897 Speaker 1: disappears forever. No, it's actually not how the internet works. 80 00:04:45,897 --> 00:04:47,577 Speaker 1: So you know this is you know, I think when 81 00:04:47,577 --> 00:04:50,737 Speaker 1: people realized that some of the Snapchat features weren't really 82 00:04:50,737 --> 00:04:54,057 Speaker 1: what they thought they were. Um, but beyond that, uh, 83 00:04:54,577 --> 00:04:57,577 Speaker 1: now it's TikTok. I mean TikTok from what I can 84 00:04:57,617 --> 00:04:59,697 Speaker 1: see from the data. And you know, Josh Holly was 85 00:04:59,737 --> 00:05:02,857 Speaker 1: on our radio show recently talking about how he wants 86 00:05:02,857 --> 00:05:06,457 Speaker 1: to ban social media for kids under sixteen. I mean, 87 00:05:06,457 --> 00:05:09,297 Speaker 1: the more I look at this, the more I feel like, yeah, 88 00:05:09,337 --> 00:05:11,737 Speaker 1: I I actually believe I don't think the twelve year 89 00:05:11,777 --> 00:05:13,457 Speaker 1: old should be on social media. Why why would you 90 00:05:13,457 --> 00:05:15,217 Speaker 1: want to be on social media as a twelve year old? 91 00:05:15,537 --> 00:05:19,617 Speaker 1: You know why you wouldn't want unregulated discourse, meaning just 92 00:05:19,697 --> 00:05:22,817 Speaker 1: like you're twelve year olds, you know, interacting with other 93 00:05:22,817 --> 00:05:25,777 Speaker 1: twelve years you know, you want parent parental supervision around them, right, 94 00:05:25,817 --> 00:05:27,017 Speaker 1: I mean, you know you don't have kids yet. I 95 00:05:27,017 --> 00:05:29,497 Speaker 1: don't have kids, you know what I mean? So so 96 00:05:29,537 --> 00:05:32,217 Speaker 1: this notion that you should have not even just kids, 97 00:05:32,217 --> 00:05:38,577 Speaker 1: but the global internet when you're twelve, eleven, ten, thirteen, fourteen, 98 00:05:39,617 --> 00:05:42,417 Speaker 1: I think I totally get it. Man. I think Josh 99 00:05:42,417 --> 00:05:44,297 Speaker 1: Holly's I think he's right. Even if it's not a 100 00:05:44,337 --> 00:05:46,537 Speaker 1: government mandate thing, we can get it, whether government should 101 00:05:46,537 --> 00:05:48,737 Speaker 1: be mandating it or not. I don't think people should 102 00:05:48,737 --> 00:05:50,817 Speaker 1: be letting their kids have social media at such a 103 00:05:50,857 --> 00:05:52,417 Speaker 1: young age, just based on what we all know it 104 00:05:52,457 --> 00:05:57,337 Speaker 1: can do. Yeah, I think as more science comes out 105 00:05:57,417 --> 00:06:01,817 Speaker 1: about what it does to it, especially developing brain, I 106 00:06:01,857 --> 00:06:06,417 Speaker 1: don't think adults should have access to social media on 107 00:06:06,497 --> 00:06:11,337 Speaker 1: some days. Yeah, you know, even you know you or me. 108 00:06:11,457 --> 00:06:14,817 Speaker 1: I'm a pretty strong minded person, but I mean I'll 109 00:06:14,817 --> 00:06:16,977 Speaker 1: come across some stuff I'm like, what did I just watch? 110 00:06:17,097 --> 00:06:19,497 Speaker 1: I mean, it will it will drastically affect my mood. 111 00:06:21,097 --> 00:06:25,577 Speaker 1: But you know, for kids to not only be subjected 112 00:06:25,977 --> 00:06:32,857 Speaker 1: to these types of images and videos and graphics, and 113 00:06:32,937 --> 00:06:39,897 Speaker 1: then to also deal with the social ramifications of doing 114 00:06:39,937 --> 00:06:43,097 Speaker 1: something in high school that was maybe embarrassing and just 115 00:06:43,177 --> 00:06:47,217 Speaker 1: having this kind of group harassment campaign, I mean, look 116 00:06:47,217 --> 00:06:49,897 Speaker 1: at harassment campaigns on Twitter, right, I mean obviously that's 117 00:06:49,897 --> 00:06:52,457 Speaker 1: happening in high schools, and you know, kids kill themselves 118 00:06:52,617 --> 00:06:55,657 Speaker 1: over this stuff. So I'm actually open to a band. 119 00:06:56,097 --> 00:07:00,577 Speaker 1: Uh maybe not sixteen, maybe fourteen and under or something 120 00:07:00,617 --> 00:07:03,777 Speaker 1: to maybe fifteen, I don't know, I think it's absolutely 121 00:07:03,817 --> 00:07:06,297 Speaker 1: something that should be debated and there should be some 122 00:07:06,497 --> 00:07:09,617 Speaker 1: limitation at a minimum. Look, I mean also, and I 123 00:07:09,657 --> 00:07:12,377 Speaker 1: know this is part of of another another thread to 124 00:07:12,377 --> 00:07:14,777 Speaker 1: the discussion too, but they often talk about how for 125 00:07:14,777 --> 00:07:19,977 Speaker 1: for young girls it creates this completely unrealistic embody image issue. 126 00:07:20,097 --> 00:07:23,257 Speaker 1: And you know, there're some there's some really horrifying statistics 127 00:07:23,297 --> 00:07:25,817 Speaker 1: about how many young young women across the country have 128 00:07:25,897 --> 00:07:29,297 Speaker 1: considered self harm um in the in the last year, 129 00:07:29,457 --> 00:07:32,177 Speaker 1: and and there's a lot of psychological durests for young 130 00:07:32,257 --> 00:07:35,377 Speaker 1: girls that as they measure this, as it's self reported, 131 00:07:35,457 --> 00:07:37,937 Speaker 1: it has been getting worse and worse. I also think 132 00:07:37,977 --> 00:07:40,497 Speaker 1: that for a lot of young men, and not even 133 00:07:40,497 --> 00:07:42,777 Speaker 1: that young, but you know, guys up into their their teenagers, 134 00:07:42,777 --> 00:07:46,457 Speaker 1: for example, they can also have I mean, the short 135 00:07:46,497 --> 00:07:48,337 Speaker 1: way of putting this is that these guys that they're 136 00:07:48,377 --> 00:07:52,017 Speaker 1: seeing who are who are like you know, these these 137 00:07:52,017 --> 00:07:58,777 Speaker 1: physical specimens, the amount of steroid use, you know, tremblone, HGH, 138 00:07:58,857 --> 00:08:02,177 Speaker 1: you know, TRT, all this stuff that goes into creating 139 00:08:02,177 --> 00:08:05,817 Speaker 1: a lot of these uh, these persona accounts and social 140 00:08:05,857 --> 00:08:08,857 Speaker 1: media like you know, sixteen, seventeen, eighteen year old guys 141 00:08:08,857 --> 00:08:10,617 Speaker 1: and and guys. Honestly, a lot old that too need 142 00:08:10,657 --> 00:08:12,977 Speaker 1: to know this stuff isn't real, folks, or at least 143 00:08:12,977 --> 00:08:15,057 Speaker 1: there's there's a component to the reality that they're not 144 00:08:15,217 --> 00:08:18,657 Speaker 1: aware of that I think can create real distortions. And 145 00:08:18,697 --> 00:08:21,257 Speaker 1: I mean, do you do you see this too? There 146 00:08:21,297 --> 00:08:23,017 Speaker 1: are whole accounts whe people are talking about how they 147 00:08:23,097 --> 00:08:28,017 Speaker 1: use steroids just just for aesthetics. Yeah, no, one hundred percent. 148 00:08:28,137 --> 00:08:30,897 Speaker 1: I mean people accused me of using steroids because I'm 149 00:08:30,897 --> 00:08:34,177 Speaker 1: so jacked, and it's, you know, constant rumors I have 150 00:08:34,257 --> 00:08:37,737 Speaker 1: to dispel. Um, I know it is you and liver King, 151 00:08:37,857 --> 00:08:40,777 Speaker 1: and liver King's already gotten got so you better watch out. Rogan. 152 00:08:41,737 --> 00:08:46,257 Speaker 1: I know, I I'm completely kidding, but um yeah, some 153 00:08:46,297 --> 00:08:48,417 Speaker 1: people are only listening to other people. So just to 154 00:08:48,417 --> 00:08:50,817 Speaker 1: your case for the podcast people, he was doing his 155 00:08:50,897 --> 00:08:53,817 Speaker 1: bicep thing like Popeye. And while Rogan is a is 156 00:08:53,857 --> 00:08:56,537 Speaker 1: a is a hard throb for the lady who'll off 157 00:08:56,577 --> 00:08:59,457 Speaker 1: the market now Mary like yours. Truly, I don't think 158 00:09:00,177 --> 00:09:02,417 Speaker 1: wedding ring, I don't think. I don't think anybody believes 159 00:09:02,417 --> 00:09:05,857 Speaker 1: either of us are taking steroids anyway, keep going, um 160 00:09:05,937 --> 00:09:09,297 Speaker 1: and and so yeah, I mean there's there's clearly you know, 161 00:09:09,417 --> 00:09:13,497 Speaker 1: toxic life styles uh that are portrayed there. And you know, 162 00:09:13,537 --> 00:09:20,417 Speaker 1: again I'm not opposed to education and learning about things, UM, 163 00:09:20,457 --> 00:09:25,017 Speaker 1: but I think I remember there were was it Steve 164 00:09:25,137 --> 00:09:30,657 Speaker 1: Jobs or other Silicon Valley big wigs who basically said 165 00:09:30,657 --> 00:09:33,457 Speaker 1: they would never allow their kids on social media until 166 00:09:33,497 --> 00:09:35,457 Speaker 1: they're full grown adults. And it's like, what do they 167 00:09:35,537 --> 00:09:37,857 Speaker 1: know that we don't know? You know, these things are 168 00:09:37,897 --> 00:09:43,377 Speaker 1: designed to be addictive, um, and we're learning that not 169 00:09:43,417 --> 00:09:46,297 Speaker 1: only social media, but things like porn and other things. 170 00:09:46,297 --> 00:09:52,097 Speaker 1: They really do change your your dopamine uh you know system, 171 00:09:52,137 --> 00:09:56,017 Speaker 1: basically your your reward system, and it leads you down 172 00:09:56,057 --> 00:10:02,377 Speaker 1: to depressing paths um and just just a bad, unhealthy lifestyle. 173 00:10:02,457 --> 00:10:05,457 Speaker 1: So uh, like I said, I do think there needs 174 00:10:05,457 --> 00:10:11,377 Speaker 1: to be an absolute limitation for younger kids U. And uh, 175 00:10:11,457 --> 00:10:15,017 Speaker 1: you know, I I think TikTok should be banned just 176 00:10:15,217 --> 00:10:17,617 Speaker 1: by virtue of the fact that China is our greatest 177 00:10:18,657 --> 00:10:22,897 Speaker 1: national threat. And you know, it's very clear that their 178 00:10:22,977 --> 00:10:26,377 Speaker 1: TikTok algorithms over there are designed to make their kids 179 00:10:26,417 --> 00:10:31,937 Speaker 1: like fit and you know, aggressive and assertive and leaders. 180 00:10:32,017 --> 00:10:36,337 Speaker 1: And the TikTok platform here is designed to promote all 181 00:10:36,377 --> 00:10:39,777 Speaker 1: the woke ideologies and to ban and sense are all 182 00:10:39,817 --> 00:10:43,937 Speaker 1: conservative ideologies. So you're just getting a funnel system of 183 00:10:43,977 --> 00:10:48,457 Speaker 1: the future of America being steered by a foreign communist 184 00:10:48,537 --> 00:10:51,737 Speaker 1: country's algorithm. And for that alone, I think it should 185 00:10:51,737 --> 00:10:55,857 Speaker 1: be banned. Yeah, I'm a person who often tells people 186 00:10:56,137 --> 00:10:58,697 Speaker 1: that I think it's really instructive to read. You know, 187 00:10:58,697 --> 00:11:02,177 Speaker 1: the KGB archives were. If we're uncovered after the fall 188 00:11:02,377 --> 00:11:05,817 Speaker 1: of the Wall, the Metroken archives, people will refer to 189 00:11:05,857 --> 00:11:08,937 Speaker 1: it as and you can see the active measures and 190 00:11:08,977 --> 00:11:12,097 Speaker 1: the different clandestine operations of Russian intelligence against the United 191 00:11:12,097 --> 00:11:14,577 Speaker 1: States in a whole range of ways, much more pervasive 192 00:11:14,617 --> 00:11:18,497 Speaker 1: than people learn in school. Much broader penetrations by the 193 00:11:18,497 --> 00:11:20,897 Speaker 1: Communist Party of the United States were very real. The 194 00:11:20,977 --> 00:11:24,497 Speaker 1: Red Scare was actually fear mongering in the wrong direction, 195 00:11:24,537 --> 00:11:26,377 Speaker 1: as in telling people that it wasn't really happening. I mean, 196 00:11:26,377 --> 00:11:29,097 Speaker 1: for God's sakes, they stole our nuclear technology. I mean, 197 00:11:29,457 --> 00:11:32,537 Speaker 1: you know, the most sensitive stuff was targeted about the Soviets. 198 00:11:32,657 --> 00:11:35,457 Speaker 1: If they could have convinced all of our children in 199 00:11:35,497 --> 00:11:38,257 Speaker 1: our homes that they were one of thirty eight genders 200 00:11:38,337 --> 00:11:42,817 Speaker 1: or whatever, and that masculinity was toxic, the Soviets would 201 00:11:42,817 --> 00:11:44,417 Speaker 1: have had a field day with it. I mean they would, 202 00:11:44,537 --> 00:11:47,897 Speaker 1: They would have absolutely loved what. Now, obviously the Chinese 203 00:11:47,897 --> 00:11:50,857 Speaker 1: Communist Party is able to do as our near peer competitor. 204 00:11:51,017 --> 00:11:53,057 Speaker 1: I want to get back to the censorship point through 205 00:11:53,057 --> 00:11:54,857 Speaker 1: in a second. So I wonder how that's affected you. 206 00:11:55,017 --> 00:11:58,057 Speaker 1: For example, you know, you're prolific on Instagram. You've got 207 00:11:58,097 --> 00:12:01,377 Speaker 1: over two million Instagram followers, which is huge, and you know, 208 00:12:01,497 --> 00:12:03,377 Speaker 1: and you're not a bikini model, so it means that 209 00:12:03,377 --> 00:12:06,177 Speaker 1: you actually have to do content that people are interested 210 00:12:06,177 --> 00:12:08,297 Speaker 1: in beyond just look at me. I'm really not that 211 00:12:08,377 --> 00:12:11,257 Speaker 1: you're not you know, I'm sure you know the ladies, 212 00:12:11,297 --> 00:12:13,897 Speaker 1: as I said, but you're doing a lot of content 213 00:12:13,937 --> 00:12:15,097 Speaker 1: that a lot of people are seeing. I want to 214 00:12:15,097 --> 00:12:17,217 Speaker 1: know what kind of censorship you're actually coming up against. 215 00:12:17,217 --> 00:12:20,417 Speaker 1: So put a pin of that for one second, Dreino, 216 00:12:20,497 --> 00:12:22,497 Speaker 1: because I want to also talk about our sponsor here 217 00:12:22,497 --> 00:12:25,257 Speaker 1: from the Tunnels of Towers Foundation. Tunnel to Towers does 218 00:12:25,577 --> 00:12:29,897 Speaker 1: incredible work. They honor our heroes, and they honor severely 219 00:12:29,937 --> 00:12:33,817 Speaker 1: injured and fallen heroes, and they do this with mortgage 220 00:12:33,817 --> 00:12:36,417 Speaker 1: free homes. This year alone, hundreds of gold star and 221 00:12:36,497 --> 00:12:39,497 Speaker 1: fallen first responder, families with young children, and our nation's 222 00:12:39,497 --> 00:12:43,457 Speaker 1: most severely injured veterans and first responders are receiving smart homes. 223 00:12:43,537 --> 00:12:46,337 Speaker 1: More than five hundred homeless veterans receive housing and services 224 00:12:46,457 --> 00:12:49,257 Speaker 1: last year. Over fifteen hundred are going to receive housing 225 00:12:49,257 --> 00:12:51,857 Speaker 1: and services this year. It's an organization that keeps the 226 00:12:51,897 --> 00:12:55,617 Speaker 1: American people's sacred promise to our heroes and through the 227 00:12:55,617 --> 00:12:57,977 Speaker 1: Tunnel to Towers nine to eleven Institute, the foundation is 228 00:12:58,017 --> 00:13:02,017 Speaker 1: also educating kids in kindergarten through twelfth grade about what 229 00:13:02,137 --> 00:13:04,857 Speaker 1: happened in nine to eleven and the aftermath and the 230 00:13:04,897 --> 00:13:07,937 Speaker 1: war on terror. Join Tunnel to Towers on its mission 231 00:13:07,977 --> 00:13:10,817 Speaker 1: to do good, Please help America to never forget its 232 00:13:10,817 --> 00:13:13,937 Speaker 1: greatest heroes. Join me in donating eleven dollars a month 233 00:13:13,937 --> 00:13:16,657 Speaker 1: to Tunnel the Towers at t twot dot org. It's 234 00:13:16,657 --> 00:13:19,417 Speaker 1: so easy to do and it's so important t twot 235 00:13:20,137 --> 00:13:25,097 Speaker 1: dot org. All right, So, Rogan, are you seeing so 236 00:13:25,257 --> 00:13:29,017 Speaker 1: elon buys Twitter? Are you seeing a change? First of all, 237 00:13:29,057 --> 00:13:31,177 Speaker 1: what do you think of how twitters coming along at 238 00:13:31,217 --> 00:13:34,137 Speaker 1: this point? And have the other platforms gotten a little 239 00:13:34,137 --> 00:13:39,457 Speaker 1: bit less censor crazy or are they still doing the 240 00:13:39,497 --> 00:13:41,977 Speaker 1: same kind of stuff, Dad, and you're getting strikes, you're 241 00:13:41,977 --> 00:13:46,737 Speaker 1: getting shadow banned all that. It's a good question. So 242 00:13:46,857 --> 00:13:49,417 Speaker 1: first off, I just got my Twitter back after being 243 00:13:49,497 --> 00:13:54,017 Speaker 1: banned for two years, So congratulations, by the way, welcome back, 244 00:13:54,857 --> 00:13:59,057 Speaker 1: thank you. And you know, I've currently got a lawsuit. 245 00:13:59,057 --> 00:14:03,217 Speaker 1: I'm represented by Harmat Dylan and we had our hearing 246 00:14:03,217 --> 00:14:05,537 Speaker 1: in the Ninth Circuit Court of Appeals three months ago. 247 00:14:05,617 --> 00:14:07,937 Speaker 1: So any day now we could wake up and there 248 00:14:08,017 --> 00:14:12,977 Speaker 1: is a major ruling that could impact all of us 249 00:14:13,777 --> 00:14:17,497 Speaker 1: because all big tech cases go through the Ninth Circuit. 250 00:14:17,737 --> 00:14:22,777 Speaker 1: So we're not optimistic necessarily because the Ninth Circus Court 251 00:14:22,777 --> 00:14:27,297 Speaker 1: of Appeals is a little bit leftist, not as leftist 252 00:14:27,297 --> 00:14:29,177 Speaker 1: as it used to be, thank you to President Trump, 253 00:14:29,217 --> 00:14:32,617 Speaker 1: but still leftists. And so then it's onto the Supreme 254 00:14:32,657 --> 00:14:35,177 Speaker 1: Court after that. But you know, it ties in with 255 00:14:35,217 --> 00:14:39,257 Speaker 1: the Twitter files. It was the state of California that 256 00:14:39,417 --> 00:14:41,737 Speaker 1: requested that I'd be censored, and then I was banned 257 00:14:42,057 --> 00:14:45,777 Speaker 1: for discussing election irregularities. I don't know what platform this 258 00:14:45,817 --> 00:14:48,337 Speaker 1: will be played on, but I'll you know, people can 259 00:14:48,337 --> 00:14:53,057 Speaker 1: fill in the blanks there. And yeah, so we had 260 00:14:53,057 --> 00:14:57,297 Speaker 1: the smoking gun emails. We caught them. Thus far, My 261 00:14:57,377 --> 00:15:02,257 Speaker 1: experience back on Twitter has been great, better than when 262 00:15:02,257 --> 00:15:04,377 Speaker 1: I left off. It is a breath of fresh air 263 00:15:04,457 --> 00:15:07,897 Speaker 1: to have so much freedom of speech being on Instagram. 264 00:15:07,977 --> 00:15:11,937 Speaker 1: Instagram is very high least censored. They have the fact checkers, 265 00:15:12,017 --> 00:15:16,617 Speaker 1: PolitiFact lead stories. UH there's there's at least ten other 266 00:15:16,897 --> 00:15:19,897 Speaker 1: associated press. I got fact checked when there are Chinese 267 00:15:19,897 --> 00:15:21,737 Speaker 1: tanks rolling down a street in front of their bank 268 00:15:22,417 --> 00:15:25,377 Speaker 1: when people couldn't withdraw the money. I got fact checked 269 00:15:25,857 --> 00:15:28,497 Speaker 1: when I posted that the next day by the Associated 270 00:15:28,537 --> 00:15:33,377 Speaker 1: Press saying they talked with an employee nearby who said 271 00:15:33,377 --> 00:15:36,017 Speaker 1: that it was a military training exercise, nothing to do 272 00:15:36,097 --> 00:15:39,137 Speaker 1: with and it was written by like a Chinese author, 273 00:15:39,217 --> 00:15:42,977 Speaker 1: and you know, based in Beijing or wherever. And I'm like, 274 00:15:43,017 --> 00:15:46,057 Speaker 1: oh my gosh, the Chinese are censoring us. You're getting 275 00:15:46,057 --> 00:15:52,217 Speaker 1: fined Qinwa State News agency over there. Yeah, there's no 276 00:15:52,257 --> 00:15:56,977 Speaker 1: one that works for UH in any type of Chinese 277 00:15:57,097 --> 00:16:01,137 Speaker 1: enterprise or Chinese office satellite office of a company that 278 00:16:01,257 --> 00:16:04,697 Speaker 1: isn't a government agent. So of course it polit a 279 00:16:04,777 --> 00:16:08,017 Speaker 1: fact I said, you know, Joe Biden is a child predator, 280 00:16:08,537 --> 00:16:12,977 Speaker 1: and they fact checked that, saying that there's no evidence 281 00:16:13,017 --> 00:16:15,857 Speaker 1: of any crimes he's committed against children. I mean, the 282 00:16:16,297 --> 00:16:20,297 Speaker 1: lengths that they go to to protect the regime is insane, 283 00:16:20,497 --> 00:16:23,777 Speaker 1: and so no, I have not noticed a decrease in 284 00:16:23,817 --> 00:16:29,017 Speaker 1: the censorship on other platforms. However, I am optimistic that 285 00:16:29,217 --> 00:16:33,177 Speaker 1: as Elon leads the way, we're starting to see copycat 286 00:16:33,297 --> 00:16:36,697 Speaker 1: moves by these other big tech platforms. Two moves in particular, 287 00:16:36,777 --> 00:16:39,697 Speaker 1: one firing a bunch of people. Elon was the first 288 00:16:39,697 --> 00:16:41,417 Speaker 1: one to do it, and they all followed suit. And 289 00:16:41,497 --> 00:16:46,737 Speaker 1: now Facebook and Instagram are going to allow you to 290 00:16:46,857 --> 00:16:50,137 Speaker 1: buy a blue check, which I personally do not have 291 00:16:50,177 --> 00:16:53,217 Speaker 1: this by having over two million followers, and it'll include 292 00:16:53,217 --> 00:17:00,497 Speaker 1: customer service priority in the explore feature, So that's something 293 00:17:00,497 --> 00:17:04,297 Speaker 1: they followed Elon's lead on. So I'm curious what else. 294 00:17:04,537 --> 00:17:08,377 Speaker 1: Maybe the open source algorithm that Elon is promising, maybe 295 00:17:08,417 --> 00:17:12,737 Speaker 1: showing why you are suspect ended or showing whether or 296 00:17:12,777 --> 00:17:15,217 Speaker 1: not you have any shadow band applicable to your account. 297 00:17:15,217 --> 00:17:18,737 Speaker 1: Maybe they'll copy that stuff. So I do thank Elon overall. 298 00:17:18,777 --> 00:17:20,457 Speaker 1: I mean I have been saying this to people for 299 00:17:20,497 --> 00:17:24,057 Speaker 1: a while that only in social media it has it 300 00:17:24,217 --> 00:17:26,817 Speaker 1: been somehow deemed Don't we know why? Because it's such 301 00:17:26,817 --> 00:17:29,817 Speaker 1: a huge advantage for the left. And it's really the 302 00:17:29,857 --> 00:17:32,217 Speaker 1: social media companies are certainly have a lot more money 303 00:17:32,257 --> 00:17:34,857 Speaker 1: and are more powerful than any of the legacy media companies. 304 00:17:34,857 --> 00:17:36,737 Speaker 1: And it's not even close, right, I mean, Google is 305 00:17:37,537 --> 00:17:41,897 Speaker 1: arguably there what the three three wealthiest, three most powerful 306 00:17:41,937 --> 00:17:45,857 Speaker 1: countries companies, Rather it could be a country on the planet, 307 00:17:46,457 --> 00:17:48,057 Speaker 1: and you add some of the others in there as well. 308 00:17:48,097 --> 00:17:49,937 Speaker 1: I mean that the amount of money that they have 309 00:17:50,017 --> 00:17:52,457 Speaker 1: and the amount of reach they have is truly is 310 00:17:52,457 --> 00:17:55,937 Speaker 1: truly mind blowing. But even beyond that, there's no other 311 00:17:56,057 --> 00:17:59,537 Speaker 1: business where, you know, for example, with your credit card company, 312 00:18:00,257 --> 00:18:01,937 Speaker 1: they couldn't be like, hey, sorry, we turned you over 313 00:18:01,937 --> 00:18:05,137 Speaker 1: to collections and you're like, well why, Like what do 314 00:18:05,217 --> 00:18:07,377 Speaker 1: I owe you? They're like, sorry, how much do I 315 00:18:07,377 --> 00:18:09,497 Speaker 1: owe you? We can't tell you. All you know is 316 00:18:09,497 --> 00:18:12,017 Speaker 1: you've been turned the collections in your card to shut down, right, 317 00:18:12,017 --> 00:18:15,257 Speaker 1: I mean, you wouldn't accept that. That's been happened to 318 00:18:15,257 --> 00:18:18,137 Speaker 1: people in social media for years now. You get, you 319 00:18:18,137 --> 00:18:22,057 Speaker 1: get get emailitized, you get you know, and there's no explanation. 320 00:18:22,337 --> 00:18:25,177 Speaker 1: They don't care. They just say sorry, we've decided and 321 00:18:25,257 --> 00:18:29,417 Speaker 1: that's it. Yeah, I wish they said sorry. They say nothing. 322 00:18:29,497 --> 00:18:32,017 Speaker 1: You just can't even sign in. No one responds to 323 00:18:32,057 --> 00:18:37,457 Speaker 1: your emails. And that's it, and and it's it's it's wrong, 324 00:18:37,977 --> 00:18:41,217 Speaker 1: and it will be illegal at some point because if 325 00:18:41,257 --> 00:18:45,537 Speaker 1: you spend years and hundreds of thousands of dollars building 326 00:18:45,617 --> 00:18:49,617 Speaker 1: up a following or a business and uh, it just 327 00:18:49,657 --> 00:18:51,937 Speaker 1: gets taken out from you one day because of some 328 00:18:52,097 --> 00:18:57,577 Speaker 1: arbitrary fact checker or some arbitrary application of their community guidelines, 329 00:18:57,577 --> 00:19:00,497 Speaker 1: which are so broadly written that literally anything can be egal. 330 00:19:00,657 --> 00:19:02,937 Speaker 1: It's just a form of fraud. It's just fraud. I mean, 331 00:19:02,937 --> 00:19:07,257 Speaker 1: you're taking from people under false pretenses. It is um. 332 00:19:07,337 --> 00:19:12,657 Speaker 1: I am again highly optimistic that my lawsuit will change 333 00:19:12,737 --> 00:19:16,337 Speaker 1: things across the country. A. I'm represented by the best 334 00:19:16,377 --> 00:19:21,057 Speaker 1: civil rights attorney in the country, Harmy Dylan b. We 335 00:19:21,177 --> 00:19:24,657 Speaker 1: have seen in the Twitter files that the government is 336 00:19:24,657 --> 00:19:30,177 Speaker 1: so directly intertwined with the censorship apparatus that it's indistinguishable 337 00:19:30,297 --> 00:19:32,177 Speaker 1: between big tech. I mean, so many of the ex 338 00:19:32,297 --> 00:19:36,697 Speaker 1: agents worked there and the coordination just exposing the Twitter 339 00:19:36,697 --> 00:19:38,617 Speaker 1: files and that's just a tip of the iceberg. That's 340 00:19:38,657 --> 00:19:40,897 Speaker 1: just Twitter. Imagine what's going on at Facebook, which is 341 00:19:40,937 --> 00:19:45,857 Speaker 1: a much bigger company and more users and especially Google, 342 00:19:46,297 --> 00:19:50,017 Speaker 1: so tip of the iceberg. And the problem is there's 343 00:19:50,017 --> 00:19:54,977 Speaker 1: no recourse against this. Obviously Section to thirty protects them. 344 00:19:55,017 --> 00:19:58,977 Speaker 1: But even my case, which was a First Amendment violation 345 00:19:59,017 --> 00:20:02,177 Speaker 1: because the government said, hey, literally censored DC drain now 346 00:20:02,377 --> 00:20:04,977 Speaker 1: and we have the email, and the judge, the federal 347 00:20:05,057 --> 00:20:08,977 Speaker 1: judge in the Northern District of California, still said Nope, 348 00:20:09,057 --> 00:20:12,817 Speaker 1: not enough to government collusion. I'm like, what is going 349 00:20:12,857 --> 00:20:14,257 Speaker 1: on here? You know, I feel like I'm in the 350 00:20:14,537 --> 00:20:19,137 Speaker 1: So the big tech is the most powerful force in 351 00:20:19,217 --> 00:20:21,057 Speaker 1: nature on planet Earth. I would say, if you if 352 00:20:21,097 --> 00:20:24,657 Speaker 1: you can silence the sitting president of the United States, 353 00:20:24,737 --> 00:20:29,297 Speaker 1: what is more powerful than that? Only God? In my opinion, Well, 354 00:20:29,497 --> 00:20:31,617 Speaker 1: you know, I wonder if you'd agree with this. That 355 00:20:31,657 --> 00:20:34,257 Speaker 1: The an argument I've made from the beginning of the 356 00:20:34,257 --> 00:20:39,977 Speaker 1: pandemic is that the pandemic restrictions and everything that happened 357 00:20:40,577 --> 00:20:45,377 Speaker 1: was only possible because everybody was carrying around these state 358 00:20:45,497 --> 00:20:48,817 Speaker 1: collusion propaganda machines in their hands all the time, or 359 00:20:48,857 --> 00:20:52,697 Speaker 1: you know, on their screens computers, smart TVs, etc. Like, 360 00:20:52,737 --> 00:20:55,657 Speaker 1: the only way you could convince people that we haven't 361 00:20:55,657 --> 00:20:58,697 Speaker 1: lost our minds as a society when there are little 362 00:20:58,737 --> 00:21:02,977 Speaker 1: places little foot pads on the sidewalk in New York 363 00:21:03,017 --> 00:21:06,857 Speaker 1: City outside to show people how far apart to stand 364 00:21:06,897 --> 00:21:10,057 Speaker 1: in line before they go indoors to a grocery store 365 00:21:10,097 --> 00:21:12,897 Speaker 1: where they're going to be just shoulder to shoulder. If 366 00:21:13,097 --> 00:21:14,937 Speaker 1: the only way you could convince people that that's not 367 00:21:15,017 --> 00:21:18,137 Speaker 1: insane is if you have a propaganda apparatus that includes 368 00:21:18,177 --> 00:21:21,577 Speaker 1: social media twenty four to seven enforcement of the narrative, right, 369 00:21:21,697 --> 00:21:24,617 Speaker 1: like you wouldn't just newspapers wouldn't have been enough. At 370 00:21:24,697 --> 00:21:27,337 Speaker 1: least that's my thesis, Like just just the newspapers, I 371 00:21:27,497 --> 00:21:30,897 Speaker 1: wouldn't have done it. I completely agree, and you know, 372 00:21:31,017 --> 00:21:34,817 Speaker 1: but for every measure, there's a countermeasure. And it was 373 00:21:34,897 --> 00:21:38,577 Speaker 1: also a place for people like you and me and 374 00:21:38,737 --> 00:21:43,097 Speaker 1: others to say, hey, this is crazy, right, And you know, 375 00:21:43,137 --> 00:21:45,377 Speaker 1: I had a lot of people mentioned that because you 376 00:21:45,417 --> 00:21:48,017 Speaker 1: feel they want you to feel isolated. They obviously were 377 00:21:48,057 --> 00:21:52,417 Speaker 1: censoring so many people Harvard stand for doctors, anyone that 378 00:21:52,537 --> 00:21:56,977 Speaker 1: questioned the narrative. But I've had people remark, you know, 379 00:21:57,097 --> 00:22:01,657 Speaker 1: I knew it was crazy, but thanks to you know, 380 00:22:01,777 --> 00:22:05,497 Speaker 1: your posts and just these comments sections everything, I didn't 381 00:22:05,537 --> 00:22:08,817 Speaker 1: feel alone because it's like, oh, okay, few because remember 382 00:22:08,817 --> 00:22:12,097 Speaker 1: we were all isolated and our houses. For the most part, 383 00:22:12,177 --> 00:22:14,897 Speaker 1: people are too scared to travel, so they shut us 384 00:22:14,897 --> 00:22:17,697 Speaker 1: down from bars, schools, everybody shut us down so we 385 00:22:17,737 --> 00:22:19,697 Speaker 1: couldn't talk to each other and say, hey, this is 386 00:22:19,697 --> 00:22:23,297 Speaker 1: all crazy, right, and then they distract you online. But 387 00:22:24,057 --> 00:22:27,817 Speaker 1: I think one very interesting effect of all this is 388 00:22:27,897 --> 00:22:33,737 Speaker 1: the explosion of Florida into a deep, you know, red 389 00:22:34,017 --> 00:22:36,577 Speaker 1: state of which you are now a resident. And I 390 00:22:36,617 --> 00:22:39,577 Speaker 1: think it is a very interesting phenomenon overall. I mean, 391 00:22:39,577 --> 00:22:41,137 Speaker 1: I've certainly never seen anything. Because I want to talk 392 00:22:41,137 --> 00:22:43,457 Speaker 1: to you more about that. Let's talk about the Florida, 393 00:22:43,937 --> 00:22:46,817 Speaker 1: the Florida phenomenon, on the Florida Revolution. And you know, 394 00:22:46,857 --> 00:22:51,017 Speaker 1: there are two very important Republican politicians who call Florida home, 395 00:22:51,297 --> 00:22:54,937 Speaker 1: and one of them, our former president you had dinner 396 00:22:54,977 --> 00:22:56,697 Speaker 1: with recently. You talked to him just a couple of 397 00:22:56,737 --> 00:22:59,417 Speaker 1: weeks ago. I want to ask you about that too. 398 00:22:59,497 --> 00:23:04,617 Speaker 1: We're here with Rogan Ohhandley DC Draino. You're on Instagram 399 00:23:04,657 --> 00:23:07,977 Speaker 1: and your right wing you know DC Draino, and if 400 00:23:07,977 --> 00:23:10,457 Speaker 1: you don't, you should to go follow him heads up 401 00:23:10,457 --> 00:23:12,537 Speaker 1: out there if you're a Team Mobile subscriber, because they're 402 00:23:12,577 --> 00:23:15,897 Speaker 1: investigating a data breach that exposed a sensitive personal information 403 00:23:15,977 --> 00:23:18,617 Speaker 1: of thirty seven million customers right after the New year. 404 00:23:18,977 --> 00:23:22,817 Speaker 1: Cyber Hackers grab data without notice could include customers names, emails, 405 00:23:22,817 --> 00:23:26,457 Speaker 1: billing addresses, and phone numbers. If exploited, cybercriminals can use 406 00:23:26,457 --> 00:23:30,217 Speaker 1: this information to commit online identity theft. If your info 407 00:23:30,297 --> 00:23:31,617 Speaker 1: is involved, how are you going to know about this? 408 00:23:31,617 --> 00:23:34,417 Speaker 1: This is why you need LifeLock. LifeLock has twenty four 409 00:23:34,497 --> 00:23:37,737 Speaker 1: seven web monitoring for regular activities and new account openings. 410 00:23:37,737 --> 00:23:40,097 Speaker 1: If you're in your name and if they see unusual 411 00:23:40,137 --> 00:23:42,817 Speaker 1: activity that's in your name and your LifeLock customer, then 412 00:23:42,857 --> 00:23:45,497 Speaker 1: you're actually going to get an alert comes via text 413 00:23:45,537 --> 00:23:47,457 Speaker 1: or an email and it can save you so many 414 00:23:47,497 --> 00:23:51,097 Speaker 1: hours of headache later on. So you need LifeLock to 415 00:23:51,097 --> 00:23:53,577 Speaker 1: have your back. It's important to understand of cybercrime and 416 00:23:53,657 --> 00:23:56,777 Speaker 1: identity theft are affecting our lives, and if you do, 417 00:23:57,017 --> 00:23:58,777 Speaker 1: by the way, become a victim of identity theft, a 418 00:23:58,777 --> 00:24:01,977 Speaker 1: dedicated US based LifeLock restoration specialists will work to fix it. 419 00:24:02,257 --> 00:24:04,297 Speaker 1: No one can prevent all identity theft or monitor all 420 00:24:04,337 --> 00:24:06,817 Speaker 1: transactions at all businesses, but it's easy to help protect 421 00:24:06,817 --> 00:24:09,217 Speaker 1: yourself with LifeLock. I've relied on them for years. I've 422 00:24:09,257 --> 00:24:11,017 Speaker 1: actually had to use them in the past when someone 423 00:24:11,337 --> 00:24:13,737 Speaker 1: use my identity to open up an account. Joy Now 424 00:24:13,817 --> 00:24:15,817 Speaker 1: save up at twenty five percent off your first year 425 00:24:15,857 --> 00:24:19,177 Speaker 1: with promo code buck at LifeLock dot com. That's LifeLock 426 00:24:19,217 --> 00:24:21,857 Speaker 1: dot com promo code buck. Or call one eight hundred 427 00:24:21,897 --> 00:24:25,497 Speaker 1: LifeLock one eight hundred LifeLock or LifeLock dot com promo 428 00:24:25,497 --> 00:24:28,537 Speaker 1: code buck for twenty five percent off. All right, Rogan, 429 00:24:28,657 --> 00:24:32,137 Speaker 1: let's start with Trump dinner. I'm assuming you're at what 430 00:24:32,337 --> 00:24:36,017 Speaker 1: Mara Lago out on the patio, folks are gathered around. 431 00:24:36,417 --> 00:24:39,937 Speaker 1: You're there with the one and only forty five. What 432 00:24:40,057 --> 00:24:44,057 Speaker 1: can you tell us? It was incredible. I'm still kind 433 00:24:44,057 --> 00:24:47,497 Speaker 1: of processing that, you know, I was even invited to that. 434 00:24:48,577 --> 00:24:51,137 Speaker 1: It's kind of funny. If you've ever been Tomorrow Lago, 435 00:24:51,257 --> 00:24:56,777 Speaker 1: it's absolutely beautiful. You're basically it's a usable museum. It's, 436 00:24:56,817 --> 00:25:01,097 Speaker 1: you know, one of the biggest houses in America, so lavish, 437 00:25:01,217 --> 00:25:04,177 Speaker 1: gold plated everything. It was owned by the Post family, 438 00:25:04,977 --> 00:25:06,897 Speaker 1: who was believed to be the richest woman in the 439 00:25:06,937 --> 00:25:09,657 Speaker 1: world at the time. The Post you know, serial heiress, 440 00:25:10,337 --> 00:25:13,817 Speaker 1: and Trump is actually really funny. So it's a social club, 441 00:25:13,897 --> 00:25:16,097 Speaker 1: so you know, you'd pay a huge fee and you 442 00:25:16,137 --> 00:25:18,577 Speaker 1: get to go there and have dinners and you know 443 00:25:18,657 --> 00:25:23,777 Speaker 1: the pools and the events. Trump DJs with his iPad 444 00:25:24,897 --> 00:25:28,057 Speaker 1: almost every night that he's there. He's out there grabbing dinner. 445 00:25:28,097 --> 00:25:30,777 Speaker 1: He's got a cordoned off table amongst you know, ten 446 00:25:30,857 --> 00:25:35,257 Speaker 1: or fifteen other tables, and it's a great menu, great food. 447 00:25:35,657 --> 00:25:38,897 Speaker 1: But he'll he'll sit there while he's drinking his diet Coogan, 448 00:25:38,937 --> 00:25:41,217 Speaker 1: eat his dinner with an iPad propped up, and he'll 449 00:25:41,257 --> 00:25:44,257 Speaker 1: just pick different songs. And so while we're at dinner, 450 00:25:44,337 --> 00:25:46,257 Speaker 1: he's like, Hey, you gotta hear this song by Elvis. 451 00:25:46,257 --> 00:25:47,777 Speaker 1: So you like this song? You like Elvis, you like, 452 00:25:48,217 --> 00:25:50,497 Speaker 1: listen to this song. It just and he DJ's the 453 00:25:50,537 --> 00:25:52,457 Speaker 1: whole time. He's like, oh my gosh, Pavarotti. Let me 454 00:25:52,457 --> 00:25:55,377 Speaker 1: tell you about Pavarotti. And then he'll play Pavarotti while 455 00:25:55,417 --> 00:25:58,297 Speaker 1: telling about this time that he, you know, hired him 456 00:25:58,297 --> 00:26:00,457 Speaker 1: to sing at some event in New York City. And 457 00:26:01,737 --> 00:26:05,897 Speaker 1: he let me just say that Trump is in top form. 458 00:26:06,537 --> 00:26:12,737 Speaker 1: He is well rested, he is very spirited, he's he's 459 00:26:12,897 --> 00:26:17,737 Speaker 1: laughing a lot, he's sharp as attack. He knows. I 460 00:26:18,097 --> 00:26:24,497 Speaker 1: think his policy videos have been very impressive adapting to 461 00:26:24,537 --> 00:26:27,737 Speaker 1: the current times, with what we're facing. He's not just 462 00:26:27,817 --> 00:26:32,617 Speaker 1: replaying the twenty sixteen glory days. He's adapting to what's 463 00:26:32,657 --> 00:26:35,737 Speaker 1: going on now. He's anti ESG, he's anti woke, he's 464 00:26:36,337 --> 00:26:41,177 Speaker 1: really fighting for free speech on the internet. He's you know, 465 00:26:41,657 --> 00:26:45,417 Speaker 1: protecting parents' rights in schools and you know, so he's 466 00:26:45,497 --> 00:26:49,857 Speaker 1: he's he's modernized his campaign and he is you know. 467 00:26:49,897 --> 00:26:51,417 Speaker 1: That was kind of my biggest thing. I was like, 468 00:26:51,457 --> 00:26:53,497 Speaker 1: how sharp is this guy? You know, I know he's 469 00:26:53,497 --> 00:26:56,377 Speaker 1: getting a little older this he's on top of it. 470 00:26:56,577 --> 00:27:00,457 Speaker 1: He's seems fifteen twenty years younger than Biden is currently, 471 00:27:00,497 --> 00:27:03,777 Speaker 1: which I know isn't saying much because Biden is practically drooling. 472 00:27:03,817 --> 00:27:07,217 Speaker 1: But it was an incredible dinner. We talked about literally everything. 473 00:27:07,857 --> 00:27:09,977 Speaker 1: We're there for like three hours. I've never drank more 474 00:27:10,097 --> 00:27:11,817 Speaker 1: diet coke in my life, but I was like, hey, 475 00:27:11,857 --> 00:27:17,057 Speaker 1: if you're with has one does yeah, sure of course, Yeah, 476 00:27:17,257 --> 00:27:20,897 Speaker 1: you're a drinking diet coke, rogan um draino. Yeah. Ken 477 00:27:20,897 --> 00:27:26,697 Speaker 1: Trump win twenty twenty four, so I don't think anyone 478 00:27:26,897 --> 00:27:31,977 Speaker 1: can win twenty twenty four without fixing election fraud. Um, 479 00:27:33,017 --> 00:27:38,577 Speaker 1: I am slightly optimistic that we have fixed enough states 480 00:27:39,137 --> 00:27:45,657 Speaker 1: where if they don't have a catastrophic pandemic, world War 481 00:27:45,737 --> 00:27:50,417 Speaker 1: three cyber attack, that we can overwhelm the fraud, that 482 00:27:50,497 --> 00:27:53,977 Speaker 1: we don't have this mass mail in ballot situation. I 483 00:27:54,017 --> 00:27:57,697 Speaker 1: think we can overwhelm the fraud. But overall, I do 484 00:27:57,857 --> 00:28:02,097 Speaker 1: think Trump has the best chance to do that. I 485 00:28:02,137 --> 00:28:06,937 Speaker 1: think the primary is done and done. Um, you know, 486 00:28:07,337 --> 00:28:09,897 Speaker 1: I love this Sanis. I am a huge, huge fan 487 00:28:10,097 --> 00:28:14,937 Speaker 1: to Santus, but he's gonna be splitting Trump's leftovers with 488 00:28:15,977 --> 00:28:19,057 Speaker 1: at least five or six maybe more other candidates, and 489 00:28:19,097 --> 00:28:21,897 Speaker 1: that's just gonna be really hard to beat Trump's you know, 490 00:28:21,977 --> 00:28:27,457 Speaker 1: forty to fifty locked in percent. So I do think 491 00:28:27,497 --> 00:28:31,457 Speaker 1: he can absolutely win. He got more votes in than 492 00:28:31,497 --> 00:28:35,097 Speaker 1: any other Republican in twenty twenty. We all know what happened, 493 00:28:35,657 --> 00:28:40,537 Speaker 1: but I'm I'm highly I want him there, and then 494 00:28:40,537 --> 00:28:43,097 Speaker 1: I want to Satis for eight years after that. I 495 00:28:43,137 --> 00:28:45,417 Speaker 1: just want to I want to say, Um, I appreciate 496 00:28:45,937 --> 00:28:48,497 Speaker 1: it doesn't help anybody to get this pulled off of 497 00:28:48,897 --> 00:28:50,977 Speaker 1: Spotify and YouTube, you know what I mean. So I 498 00:28:51,017 --> 00:28:53,817 Speaker 1: appreciate the uh, the way in which you are laying 499 00:28:53,817 --> 00:28:56,257 Speaker 1: out these issues, because you know, still they have the 500 00:28:56,297 --> 00:28:58,777 Speaker 1: algorithms set up where if you say certain things about 501 00:28:58,817 --> 00:29:02,057 Speaker 1: twenty twenty, you will get flagged, you will get banned, 502 00:29:02,337 --> 00:29:05,257 Speaker 1: and you know all kinds of stuff. So so I 503 00:29:05,297 --> 00:29:08,857 Speaker 1: appreciate that you are expressing your opinion in such a 504 00:29:08,897 --> 00:29:10,977 Speaker 1: way that we can evade because I don't think I 505 00:29:11,017 --> 00:29:13,177 Speaker 1: don't think they've a you know, they're not assigning somebody 506 00:29:13,297 --> 00:29:16,657 Speaker 1: yet YouTube Headquarters to like listen to every podcast I do, 507 00:29:16,737 --> 00:29:19,617 Speaker 1: or watch everything we do here, but the machines will 508 00:29:19,617 --> 00:29:22,337 Speaker 1: pick up certain words. There are certain words that the 509 00:29:22,417 --> 00:29:25,217 Speaker 1: machines we'll see, and it really does feel more and 510 00:29:25,257 --> 00:29:27,057 Speaker 1: more like we're living in some version of the matrix 511 00:29:27,257 --> 00:29:30,377 Speaker 1: um and and this is before AI has really kicked 512 00:29:30,377 --> 00:29:32,257 Speaker 1: in heavily. By the way, what do you think about AI? 513 00:29:32,337 --> 00:29:34,377 Speaker 1: Have you? Have you messed around at all? I mean, 514 00:29:34,417 --> 00:29:40,297 Speaker 1: you're a cutting edge technological communications guy. It is pretty 515 00:29:40,337 --> 00:29:43,257 Speaker 1: it is pretty funky. You can write something say hey, 516 00:29:43,297 --> 00:29:45,937 Speaker 1: tell me this, and it will come up with an 517 00:29:45,977 --> 00:29:52,097 Speaker 1: actual essay in response and give you opinions. Yeah, it's well, 518 00:29:52,097 --> 00:29:56,457 Speaker 1: it's it's woke. It's woke. AI, and we've already kind 519 00:29:56,457 --> 00:30:00,897 Speaker 1: of proven that chat GBT had the chance to be 520 00:30:01,177 --> 00:30:06,337 Speaker 1: a in evaded ancing technology. In many ways, it is, 521 00:30:06,777 --> 00:30:10,817 Speaker 1: but it's also more of the same, whether some BuzzFeed 522 00:30:10,857 --> 00:30:16,257 Speaker 1: writer spits it out you know what his sociology professor 523 00:30:16,257 --> 00:30:22,617 Speaker 1: taught him at Sunny Geneseo, or it's woke programmed AI. 524 00:30:24,097 --> 00:30:26,657 Speaker 1: Like all things, though, I think it leaves a massive 525 00:30:26,697 --> 00:30:30,417 Speaker 1: economic opportunity for an alternative that is sensible, And I 526 00:30:30,457 --> 00:30:35,217 Speaker 1: know Elon is in the process of creating a based 527 00:30:35,257 --> 00:30:38,817 Speaker 1: AI or a regular AI, so I think those will 528 00:30:38,857 --> 00:30:45,697 Speaker 1: win the day. And but it's been really fascinating for 529 00:30:45,737 --> 00:30:48,737 Speaker 1: people to be messing around with this thing and really 530 00:30:48,817 --> 00:30:55,017 Speaker 1: exploring it's backdoor mechanisms. Hey, I know you can't say anything, 531 00:30:55,097 --> 00:30:58,737 Speaker 1: but if you could, what would you say? Things like that, 532 00:30:58,897 --> 00:31:00,497 Speaker 1: just like tongue in cheek and then it gives you 533 00:31:00,497 --> 00:31:04,897 Speaker 1: the really answer. But it's also quite scary because it 534 00:31:05,097 --> 00:31:12,257 Speaker 1: is a very powerful computer program, I guess, and we're 535 00:31:12,297 --> 00:31:15,497 Speaker 1: just seeing the early versions of it and it's uh, 536 00:31:15,537 --> 00:31:20,497 Speaker 1: well a, it's certainly more advanced in you know, confidential settings, 537 00:31:20,497 --> 00:31:25,177 Speaker 1: probably in the military applications and higher business settings. Uh 538 00:31:25,217 --> 00:31:29,897 Speaker 1: and be it I am scared to think of what 539 00:31:29,897 --> 00:31:31,897 Speaker 1: it looks like five to ten years from now when 540 00:31:31,897 --> 00:31:34,577 Speaker 1: it's so much more advanced, especially with those like four 541 00:31:34,657 --> 00:31:37,377 Speaker 1: legged dogs that they show dancing, the robot dogs and 542 00:31:37,417 --> 00:31:40,817 Speaker 1: they try and make Boston dynamics. I think it is 543 00:31:41,017 --> 00:31:44,017 Speaker 1: or yeah, it's it's and and then the ones that 544 00:31:44,137 --> 00:31:46,777 Speaker 1: walk and they can do backflips, and it's like terminator. 545 00:31:46,977 --> 00:31:49,417 Speaker 1: So now you slap that AI on that thing that 546 00:31:49,457 --> 00:31:53,017 Speaker 1: can do three backflips and dance better than anyone, and 547 00:31:53,297 --> 00:31:57,697 Speaker 1: you know we're in for I don't know UM, so 548 00:31:57,737 --> 00:32:00,577 Speaker 1: we You know, Elon was right to point out that 549 00:32:00,617 --> 00:32:06,417 Speaker 1: we really need a massive ethics guard rail with all 550 00:32:06,497 --> 00:32:09,897 Speaker 1: this AI so that it doesn't take over UM. But 551 00:32:10,177 --> 00:32:14,937 Speaker 1: I think he or she who controls AI will control 552 00:32:14,977 --> 00:32:18,257 Speaker 1: a lot of the world. Makes me want to ask 553 00:32:18,257 --> 00:32:22,097 Speaker 1: you about China as China as our mutual friend would 554 00:32:22,137 --> 00:32:24,417 Speaker 1: say that we can get to that in a second. 555 00:32:24,737 --> 00:32:26,857 Speaker 1: You mentioned Florida. You mentioned me, by the way, Governor 556 00:32:26,937 --> 00:32:30,137 Speaker 1: Ronda Santis you hold in very high regard. You don't 557 00:32:30,177 --> 00:32:31,857 Speaker 1: think he's going to win the primary, but you think 558 00:32:31,857 --> 00:32:34,257 Speaker 1: he's a great governor. We could certainly agree that he's 559 00:32:34,257 --> 00:32:36,937 Speaker 1: a great governor. I'm a Floridian. Now after being a decade, 560 00:32:37,097 --> 00:32:39,817 Speaker 1: I wasn't just a New Yorker Rogan. I was a 561 00:32:40,697 --> 00:32:43,817 Speaker 1: if somebody doesn't understand that New York is the best 562 00:32:43,817 --> 00:32:46,777 Speaker 1: city in America, it's just because they haven't spent enough 563 00:32:46,817 --> 00:32:49,217 Speaker 1: time there. Like that was really my attitude to somebody 564 00:32:49,217 --> 00:32:53,217 Speaker 1: who grew up there. And now, I mean, I'm walking 565 00:32:53,257 --> 00:32:55,857 Speaker 1: around in my pink flip flops with my tank top 566 00:32:55,937 --> 00:33:00,577 Speaker 1: on and my sunglasses paying no state income tax. I 567 00:33:00,617 --> 00:33:02,577 Speaker 1: just went in. I just had the experience of going 568 00:33:02,617 --> 00:33:05,017 Speaker 1: in recently to a gun store and I'm like, I'm 569 00:33:05,017 --> 00:33:08,097 Speaker 1: gonna take I'll take I'll take the Daniel defense did 570 00:33:08,217 --> 00:33:10,457 Speaker 1: four the r that looks very nice. I take one 571 00:33:10,497 --> 00:33:12,137 Speaker 1: of those. Yeah, that that's good. That's good. I'll take that. 572 00:33:12,497 --> 00:33:16,417 Speaker 1: I'll also I think I want the staccato, and they're 573 00:33:16,457 --> 00:33:18,977 Speaker 1: like that's very expensive. Gone, I'm like, sounds good. Let's 574 00:33:18,977 --> 00:33:23,137 Speaker 1: take the really, let's take the supermaz. I've fired staccatos 575 00:33:23,177 --> 00:33:24,897 Speaker 1: before and they're just You're like, oh my god, you 576 00:33:24,897 --> 00:33:27,457 Speaker 1: feel like John Wick, like there's so much fun. So 577 00:33:27,857 --> 00:33:32,177 Speaker 1: I got myself as staccato, and it's just amazing, because honestly, 578 00:33:32,217 --> 00:33:34,017 Speaker 1: there was a part as as somebody who now lives 579 00:33:34,017 --> 00:33:35,457 Speaker 1: in Florida where was walking out. I was like, is 580 00:33:35,457 --> 00:33:38,537 Speaker 1: this a like is there like a sting operation, like 581 00:33:38,617 --> 00:33:40,857 Speaker 1: someone waiting for you in New York? The notion you 582 00:33:40,897 --> 00:33:42,297 Speaker 1: just walk in. Obviously I had to go through the 583 00:33:42,337 --> 00:33:44,257 Speaker 1: waiting period ever, but you know, I came back after 584 00:33:44,337 --> 00:33:47,217 Speaker 1: five days. The notion you just walk in without a 585 00:33:47,257 --> 00:33:50,777 Speaker 1: permit process, without interviews and fingerprinting and all this stuff, 586 00:33:51,097 --> 00:33:55,497 Speaker 1: and get yourself a you know, a world class rifle 587 00:33:55,617 --> 00:33:59,617 Speaker 1: and pistol and not worry that like the NYPDS can 588 00:33:59,857 --> 00:34:01,857 Speaker 1: rest you the second you walk out of the store. 589 00:34:02,417 --> 00:34:04,137 Speaker 1: I mean, that's just one example for me of just 590 00:34:04,897 --> 00:34:08,057 Speaker 1: it's amazing how much better life is in so many 591 00:34:08,097 --> 00:34:10,297 Speaker 1: ways in these Red states now. It really does make 592 00:34:10,337 --> 00:34:15,217 Speaker 1: a difference. It really is different. Welcome to America. I 593 00:34:15,257 --> 00:34:18,257 Speaker 1: went through the same process. I came here from California 594 00:34:18,377 --> 00:34:21,697 Speaker 1: and my AAR at the time could only hold ten rounds. 595 00:34:21,857 --> 00:34:25,097 Speaker 1: And you couldn't even just push the button to drop 596 00:34:25,137 --> 00:34:27,057 Speaker 1: the magazine. You had to stick a pin in a 597 00:34:27,097 --> 00:34:30,097 Speaker 1: little hole to push it. It was like the workaround. 598 00:34:30,137 --> 00:34:32,777 Speaker 1: It couldn't have like a detached magazine, I mean, And 599 00:34:32,817 --> 00:34:36,017 Speaker 1: I got it fixed out here and I've got, you know, 600 00:34:36,377 --> 00:34:39,857 Speaker 1: many more guns, the Florida versions, which are you know, 601 00:34:40,017 --> 00:34:44,457 Speaker 1: real guns. It's amazing. Um. The good thing about Florida 602 00:34:44,457 --> 00:34:46,177 Speaker 1: two is if you have your carry concealed permit, you 603 00:34:46,217 --> 00:34:47,577 Speaker 1: can just walk out of the store with a gun. 604 00:34:48,097 --> 00:34:51,337 Speaker 1: You don't have to wait. And we're getting rid of 605 00:34:51,377 --> 00:34:56,137 Speaker 1: the carry concealed permit. We're gonna be a constitution ferry 606 00:34:56,177 --> 00:34:59,977 Speaker 1: st Yeah soon. Um. And we got some work to 607 00:35:00,017 --> 00:35:02,897 Speaker 1: do on our two way stuff. We've really led the 608 00:35:02,937 --> 00:35:06,977 Speaker 1: country on the culture war, but we have read flag laws. 609 00:35:07,017 --> 00:35:09,737 Speaker 1: They enacted those after Parkland, and you know, to my knowledge, 610 00:35:09,737 --> 00:35:12,057 Speaker 1: I have not really been utilized. But we got to 611 00:35:12,097 --> 00:35:16,417 Speaker 1: get rid of those. And I think we should also 612 00:35:16,457 --> 00:35:22,017 Speaker 1: be an open carry state. I think, you know, there's 613 00:35:22,057 --> 00:35:24,937 Speaker 1: a few other things that we can do, but Florida 614 00:35:25,177 --> 00:35:29,017 Speaker 1: is I think it's fascinating how many prominent conservatives have 615 00:35:29,177 --> 00:35:33,537 Speaker 1: moved here. I feel like that we all know, no 616 00:35:33,577 --> 00:35:37,257 Speaker 1: matter what happens, who's in the White House, who takes over, 617 00:35:37,417 --> 00:35:41,577 Speaker 1: Florida will will always be free. There's a snowball's chance 618 00:35:41,617 --> 00:35:45,217 Speaker 1: in hell of any Democrat winning this state, especially if 619 00:35:45,257 --> 00:35:49,137 Speaker 1: they're in line with the current platform of the Democrat Party, 620 00:35:49,137 --> 00:35:53,617 Speaker 1: which is Marxist. And we have such a deep bench 621 00:35:53,697 --> 00:35:55,577 Speaker 1: of talent. I mean, think about even if we didn't 622 00:35:55,577 --> 00:35:57,617 Speaker 1: have Rond De Santas, we got Matt Gates, we got 623 00:35:57,617 --> 00:36:01,497 Speaker 1: Byron Donalds, we got Greg Stubie, we got Anna Paulina Luna. 624 00:36:02,257 --> 00:36:05,777 Speaker 1: And that's just the people that are currently elected, never 625 00:36:05,857 --> 00:36:10,217 Speaker 1: mind the deep bench of political talent. Charlie kirkliffs here, 626 00:36:10,297 --> 00:36:14,977 Speaker 1: you live here, I live here, Bennie Johnson, Dan Bongino, 627 00:36:15,137 --> 00:36:19,377 Speaker 1: and Coulter Tucker, Carlson, Sean Hannity half the year with Tucker. 628 00:36:20,057 --> 00:36:24,137 Speaker 1: So you've pretty much been Shapiro, You've pretty much got oh, 629 00:36:24,177 --> 00:36:26,737 Speaker 1: Seth Dillon. Um, I know I can sit Down'm like 630 00:36:27,217 --> 00:36:30,057 Speaker 1: keep going, Carol Margo Wits is down here, Dave Ruben 631 00:36:30,217 --> 00:36:32,777 Speaker 1: is down here. Like there's all of these, all these 632 00:36:33,337 --> 00:36:35,257 Speaker 1: you use it or keep going and going. By the way, 633 00:36:35,297 --> 00:36:39,777 Speaker 1: it is the greatest concentration of right wing media talent 634 00:36:39,937 --> 00:36:44,737 Speaker 1: in one state ever. Yes, And I would say that 635 00:36:44,817 --> 00:36:52,377 Speaker 1: we are the strongest and densest Republican stronghold on planet Earth. 636 00:36:54,097 --> 00:36:58,737 Speaker 1: I think we are where if if freedom dies in Florida, 637 00:36:58,897 --> 00:37:03,057 Speaker 1: it dies everywhere. And so I am hoping and I 638 00:37:03,817 --> 00:37:08,057 Speaker 1: firmly believe, you know, as scary as AI is, we 639 00:37:08,097 --> 00:37:13,097 Speaker 1: are building such a powerful media ecosystem with independent journalism. 640 00:37:13,097 --> 00:37:15,377 Speaker 1: I mean, think of how far we've come just in 641 00:37:15,417 --> 00:37:18,377 Speaker 1: two or three years, never mind five or six years. 642 00:37:18,377 --> 00:37:19,897 Speaker 1: I mean I didn't even have an account five or 643 00:37:19,937 --> 00:37:23,057 Speaker 1: six years ago, and now I've got what over four 644 00:37:23,137 --> 00:37:26,617 Speaker 1: million combined. And look at the growth that Charlie kirkis had, 645 00:37:28,737 --> 00:37:34,817 Speaker 1: Dan Bongino has had, Candice Owens, all these names have 646 00:37:35,737 --> 00:37:40,697 Speaker 1: literally hundreds of millions of followers that just didn't exist 647 00:37:40,857 --> 00:37:47,137 Speaker 1: five years ago. And Rumble, you know, is a massive 648 00:37:47,177 --> 00:37:53,137 Speaker 1: growing platform. You know, all these podcasts are exploding in popularity, 649 00:37:53,537 --> 00:38:00,737 Speaker 1: Daily Wires turning into basically a mainstream media conglomerate with 650 00:38:00,857 --> 00:38:06,217 Speaker 1: a conservative perspective. You know, Jordan Peterson is selling out 651 00:38:06,257 --> 00:38:09,777 Speaker 1: arenas to talk about I mean, we are really this 652 00:38:10,217 --> 00:38:14,537 Speaker 1: is a very pivotal moment, in a very historic moment 653 00:38:14,817 --> 00:38:19,577 Speaker 1: in American history where there is a true, peaceful conservative 654 00:38:19,617 --> 00:38:23,817 Speaker 1: revolution rising up to take back this country because the 655 00:38:23,977 --> 00:38:26,617 Speaker 1: entire world is at stake. I mean, what we're facing 656 00:38:26,657 --> 00:38:31,297 Speaker 1: here in America's impacting the whole world, and I frankly 657 00:38:31,297 --> 00:38:34,617 Speaker 1: think a lot of it comes from the wef why 658 00:38:34,657 --> 00:38:42,297 Speaker 1: hasn't Biden gone to East Palestine Rogan because he when 659 00:38:42,337 --> 00:38:44,657 Speaker 1: it comes down to it, he hates the American people. 660 00:38:45,897 --> 00:38:52,737 Speaker 1: He doesn't even like Democrats. Biden is a sock puppet 661 00:38:53,057 --> 00:38:58,257 Speaker 1: for a criminal. Again, We're on these platforms for a 662 00:38:58,337 --> 00:39:05,057 Speaker 1: criminal cartel that is looting the US treasury, laundering it 663 00:39:05,377 --> 00:39:09,217 Speaker 1: overseas eighty five billion, and weapons for the Taliban one 664 00:39:09,297 --> 00:39:15,737 Speaker 1: hundred billion to Ukraine. We've got an open border flooding 665 00:39:15,777 --> 00:39:20,617 Speaker 1: the country with people who are not American and who 666 00:39:20,657 --> 00:39:24,497 Speaker 1: did not do not grow up with our heritage and 667 00:39:24,537 --> 00:39:27,817 Speaker 1: our culture, and our education system and our understanding of 668 00:39:27,817 --> 00:39:33,017 Speaker 1: our freedoms. They want to dilute the American vote. They 669 00:39:33,017 --> 00:39:37,777 Speaker 1: want to give these people voting rights. And what they 670 00:39:37,817 --> 00:39:43,017 Speaker 1: did in Afghanistan, where they disgraced what our military fought 671 00:39:43,097 --> 00:39:45,657 Speaker 1: for for so many years and people gave their lives 672 00:39:45,657 --> 00:39:48,217 Speaker 1: for what he did when he let that Chinese spy 673 00:39:48,257 --> 00:39:52,937 Speaker 1: balloon fly over the country undisturbed. What he did when 674 00:39:52,937 --> 00:39:55,217 Speaker 1: he brought back the w NBA player but not the 675 00:39:55,297 --> 00:39:59,057 Speaker 1: US marine. These are all intentional acts. When he checked 676 00:39:59,057 --> 00:40:03,617 Speaker 1: his watch during the funeral, the procession for the soldiers 677 00:40:03,657 --> 00:40:06,737 Speaker 1: coming home from Afghanistan, these are all intentional acts. He's 678 00:40:06,777 --> 00:40:11,057 Speaker 1: not visiting Ohio on purpose. He is trying to demoralize 679 00:40:11,457 --> 00:40:13,617 Speaker 1: the United States because when it comes down to it, 680 00:40:13,657 --> 00:40:17,137 Speaker 1: this is the third term for Obama, and Obama was 681 00:40:17,177 --> 00:40:20,617 Speaker 1: doing this in his last term. He was at the 682 00:40:21,177 --> 00:40:24,537 Speaker 1: funeral of the five Dallas cops killed by a BLM radical. 683 00:40:25,617 --> 00:40:32,017 Speaker 1: He demonized cops in his eulogy. It is an intentional 684 00:40:32,777 --> 00:40:38,137 Speaker 1: They hate America. That's the whole woke movement. America's this 685 00:40:38,297 --> 00:40:43,697 Speaker 1: racist country that doesn't deserve our respect. And these people 686 00:40:44,457 --> 00:40:48,617 Speaker 1: that rose up and supported Trump, this uprising, they need 687 00:40:48,617 --> 00:40:51,657 Speaker 1: to be put back in their place. They need to 688 00:40:51,657 --> 00:40:57,857 Speaker 1: be demoralized, crushed, and stuffed back into complacency so that 689 00:40:58,137 --> 00:41:01,777 Speaker 1: the criminal cartel in DC can continue to loot and 690 00:41:01,817 --> 00:41:05,737 Speaker 1: destroy this great country. Do you think we're gaining ground 691 00:41:05,817 --> 00:41:08,897 Speaker 1: right now in the culture war and key areas? I 692 00:41:08,937 --> 00:41:11,377 Speaker 1: mean one place where I've seen a lot of action. 693 00:41:11,497 --> 00:41:14,497 Speaker 1: You mentioned Delhi Wire before. You know, Matt Walsh did 694 00:41:14,537 --> 00:41:19,097 Speaker 1: that great movie, um What Is a Woman? And I've 695 00:41:19,177 --> 00:41:23,257 Speaker 1: seen now a number of states and acting legislation, including my, 696 00:41:23,417 --> 00:41:27,897 Speaker 1: uh my friend Governor Stid of Oklahoma getting rid of 697 00:41:28,617 --> 00:41:32,337 Speaker 1: gender transition surgery for miners. You know, I want to 698 00:41:32,337 --> 00:41:35,057 Speaker 1: know you're feeling on this, because on the one hand, 699 00:41:35,097 --> 00:41:38,457 Speaker 1: it feels like, Okay, we're starting at we're getting some 700 00:41:38,537 --> 00:41:41,497 Speaker 1: momentum in some important eraas and the others it feels like, 701 00:41:41,977 --> 00:41:44,777 Speaker 1: oh my god, we're really at this point. You know, 702 00:41:44,857 --> 00:41:46,817 Speaker 1: you see some of the stuff on libs of TikTok, 703 00:41:46,897 --> 00:41:50,737 Speaker 1: for example, that that that Hia is showing everybody that 704 00:41:50,817 --> 00:41:53,777 Speaker 1: the libs are doing. And on the on the one hand, yeah, 705 00:41:53,897 --> 00:41:55,537 Speaker 1: people need to see this, they didn't know about it, 706 00:41:55,537 --> 00:41:58,297 Speaker 1: but also, I mean, good god, Rogan, you see some 707 00:41:58,337 --> 00:42:01,577 Speaker 1: of the stuff they're doing at these family friendly drag 708 00:42:01,617 --> 00:42:04,697 Speaker 1: shows or whatever they got they got, you know, middle 709 00:42:04,697 --> 00:42:08,497 Speaker 1: aged men gyrating their butts in the faces of small children. 710 00:42:08,497 --> 00:42:12,417 Speaker 1: They've got like thongs on. It's like it's appalling, And 711 00:42:12,457 --> 00:42:15,137 Speaker 1: this is where we're fighting. So are we winning or 712 00:42:15,177 --> 00:42:18,097 Speaker 1: are we defending on our own five yard line? Well, 713 00:42:18,137 --> 00:42:20,977 Speaker 1: the crazy thing is those those things are already illegal. 714 00:42:21,457 --> 00:42:25,097 Speaker 1: There's just a lack of integrity with enforcing you know, 715 00:42:25,297 --> 00:42:29,817 Speaker 1: indecency in front of children. Thankfully, in Florida, you know, 716 00:42:29,897 --> 00:42:32,337 Speaker 1: we are taking a much stronger stance. There was a 717 00:42:32,817 --> 00:42:35,057 Speaker 1: one of those drag shows at in Orlando bar and 718 00:42:35,577 --> 00:42:38,297 Speaker 1: to Santa's revoked their liquor license after so they'll be 719 00:42:38,337 --> 00:42:40,817 Speaker 1: out of business soon, and that that sends a message 720 00:42:41,617 --> 00:42:43,857 Speaker 1: to all the other establishments and they're not going to 721 00:42:43,977 --> 00:42:47,857 Speaker 1: rest losing their entire business to push awoke, you know, 722 00:42:47,977 --> 00:42:55,377 Speaker 1: exploitation of children. Are we winning? Yes? Does it feel 723 00:42:55,377 --> 00:43:00,617 Speaker 1: like it? Not? Always we are. There is more momentum 724 00:43:00,697 --> 00:43:07,577 Speaker 1: on Second Amendment rights, on restoring election integrity, on awakening 725 00:43:08,097 --> 00:43:11,897 Speaker 1: parents to what this Marxist movement has been trying to 726 00:43:12,017 --> 00:43:17,417 Speaker 1: do to our children. As aggressive and insane as the 727 00:43:17,497 --> 00:43:23,497 Speaker 1: left has gotten, it has a counter reaction amongst people. 728 00:43:23,617 --> 00:43:26,897 Speaker 1: Nature finds a balance, and as they push harder to 729 00:43:26,977 --> 00:43:30,177 Speaker 1: the left, more and more people are waking up on 730 00:43:30,217 --> 00:43:35,977 Speaker 1: the right in the middle. I've personally seen a material 731 00:43:36,697 --> 00:43:43,657 Speaker 1: shift in Elon Musk and Joe Rogan's political opinions. I 732 00:43:43,697 --> 00:43:45,617 Speaker 1: think they both used to be pretty middle of the 733 00:43:45,697 --> 00:43:49,177 Speaker 1: road people, and then California treated them so badly they 734 00:43:49,177 --> 00:43:52,377 Speaker 1: both got pushed out, and now they're I wouldn't say 735 00:43:52,417 --> 00:43:56,737 Speaker 1: they're necessarily necessarily conservatives, but what is even a conservative 736 00:43:56,737 --> 00:44:00,377 Speaker 1: at this point? A common sense, regular independent American that 737 00:44:00,497 --> 00:44:04,817 Speaker 1: doesn't think a naked man dressed as a woman should 738 00:44:04,857 --> 00:44:07,177 Speaker 1: dance in front of children. I mean, the left has 739 00:44:07,217 --> 00:44:12,777 Speaker 1: gone so far left that just regular prior center left 740 00:44:12,857 --> 00:44:17,257 Speaker 1: people are considered conservatives at this point. So, um, this 741 00:44:17,337 --> 00:44:22,817 Speaker 1: is unsustainable long term. And it kind of feels like 742 00:44:23,017 --> 00:44:27,017 Speaker 1: the movement trying to destroy a country is in a 743 00:44:27,057 --> 00:44:32,057 Speaker 1: little bit of a death rattle, that they're losing their 744 00:44:32,097 --> 00:44:35,977 Speaker 1: grip on power and their ability to deceive people, especially 745 00:44:36,017 --> 00:44:39,737 Speaker 1: with more and more free speech coming out on social media, 746 00:44:39,857 --> 00:44:43,857 Speaker 1: that they're just going all out and those types of 747 00:44:43,897 --> 00:44:48,257 Speaker 1: regimes just simply don't last. So as painful as this 748 00:44:48,417 --> 00:44:55,417 Speaker 1: is at times, the big picture is that we are 749 00:44:55,217 --> 00:45:00,537 Speaker 1: the white blood cells of humanity are coming to vanquish this, 750 00:45:00,537 --> 00:45:06,537 Speaker 1: this evil movement. Frankly, I think it's demonic, and so 751 00:45:06,697 --> 00:45:08,257 Speaker 1: I think people. I think there is a you know, 752 00:45:08,297 --> 00:45:13,457 Speaker 1: a bit of an awakening in this country. Um, and 753 00:45:13,497 --> 00:45:14,977 Speaker 1: then we'll have to save the rest of the world 754 00:45:15,057 --> 00:45:18,417 Speaker 1: after Well, Rogan, you're certainly doing your part. Everybody should 755 00:45:18,417 --> 00:45:23,777 Speaker 1: go check out DC Draino on Instagram, Facebook, Twitter, follow 756 00:45:24,217 --> 00:45:26,177 Speaker 1: the accounts he puts out there. One thing that you do, 757 00:45:26,217 --> 00:45:29,257 Speaker 1: it's so important, is is obviously fighting on the right 758 00:45:29,337 --> 00:45:33,857 Speaker 1: messages and and pushing the principles. It's funny. You're right, 759 00:45:33,857 --> 00:45:39,537 Speaker 1: it's not even conservative and just decent and American and true. 760 00:45:40,097 --> 00:45:44,657 Speaker 1: That's if you're a If you're a decent, truth abiding American. 761 00:45:45,457 --> 00:45:47,217 Speaker 1: It feels like you're a conservative these days, even if 762 00:45:47,217 --> 00:45:49,137 Speaker 1: people don't even identify that way. But what you do, 763 00:45:49,177 --> 00:45:52,057 Speaker 1: I think is is so important. And also the mockery 764 00:45:52,097 --> 00:45:54,177 Speaker 1: of the left, this is always, it's true of all tyrants. 765 00:45:54,577 --> 00:45:57,217 Speaker 1: The thing that cannot abide is mockery. The thing and 766 00:45:57,377 --> 00:45:59,377 Speaker 1: you know this better than most, Rogan, the thing that 767 00:45:59,977 --> 00:46:02,577 Speaker 1: you know when the DC Draino account posts something that 768 00:46:02,737 --> 00:46:06,377 Speaker 1: hits too too close to home, it burns them, man, 769 00:46:06,417 --> 00:46:10,657 Speaker 1: And it is great. It upsets those those lunatic marks demons, 770 00:46:10,737 --> 00:46:13,737 Speaker 1: and that's a good thing for everybody, everybody in the 771 00:46:13,777 --> 00:46:16,017 Speaker 1: country and actually for them too, because maybe they'll actually 772 00:46:17,017 --> 00:46:19,457 Speaker 1: decide that they're going to abandon the lunacy that they 773 00:46:19,457 --> 00:46:22,497 Speaker 1: have adopted. Brogan. Great to be with you, man, Thank 774 00:46:22,537 --> 00:46:24,577 Speaker 1: you so much for having well, definitely want to have 775 00:46:24,617 --> 00:46:26,257 Speaker 1: you back as the elections going on, So I hope 776 00:46:26,257 --> 00:46:28,177 Speaker 1: you come back and hang out with us and at 777 00:46:28,177 --> 00:46:30,457 Speaker 1: school that you're getting a chat with me and obviously 778 00:46:30,537 --> 00:46:32,897 Speaker 1: Clay and Buck audience learning more about your work through 779 00:46:32,897 --> 00:46:36,177 Speaker 1: it so DC Drone everybody stay in the fight, my friend. 780 00:46:36,217 --> 00:46:39,097 Speaker 1: Thanks for making the time, Thank you for having me. Buck, 781 00:46:39,217 --> 00:46:40,657 Speaker 1: keep it up, brother God Bus