1 00:00:00,200 --> 00:00:04,200 Speaker 1: Is jen Z a completely lost generation. We just saw 2 00:00:04,240 --> 00:00:07,560 Speaker 1: them turn out and droves for Democrats in the midterm elections, 3 00:00:07,600 --> 00:00:11,280 Speaker 1: fueled by issues like abortion and a fake climate crisis 4 00:00:11,280 --> 00:00:14,640 Speaker 1: that doesn't exist. In this next episode, we'll talk to 5 00:00:14,680 --> 00:00:17,360 Speaker 1: someone who gives us a little bit of hope that 6 00:00:17,520 --> 00:00:21,800 Speaker 1: all is not lost with this TikTok generation. We'll also 7 00:00:21,840 --> 00:00:24,640 Speaker 1: talk about how Justin Bieber is a terrible husband. Yes, 8 00:00:24,680 --> 00:00:27,320 Speaker 1: you heard me right, Justin Bieber. Vita Duffy is the 9 00:00:27,440 --> 00:00:29,880 Speaker 1: daughter of Rachel and Sean Duffy. You probably know them 10 00:00:29,880 --> 00:00:32,760 Speaker 1: for Fox News. Sean obviously served in Congress as well. 11 00:00:32,880 --> 00:00:35,760 Speaker 1: She's also the co founder of Thinker Chicago and a 12 00:00:35,800 --> 00:00:38,640 Speaker 1: writer for The Federalist, and she joins me next stay 13 00:00:38,680 --> 00:00:46,280 Speaker 1: with us, Vita. I'm so glad to have you on 14 00:00:46,360 --> 00:00:48,600 Speaker 1: the show. You know, we've been able to talk offline 15 00:00:48,640 --> 00:00:51,400 Speaker 1: about you know, life and the craziness of everything going 16 00:00:51,440 --> 00:00:53,440 Speaker 1: on as well as you know, I've had the opportunity 17 00:00:53,440 --> 00:00:56,440 Speaker 1: to interview you when I filled in on Fox and Friends, 18 00:00:56,600 --> 00:00:59,000 Speaker 1: and you're a great writer. Always make a lot of sense, 19 00:00:59,040 --> 00:01:00,480 Speaker 1: so I appreciate you taking the time. 20 00:01:00,760 --> 00:01:01,960 Speaker 2: Yeah, thank you for having me. 21 00:01:02,200 --> 00:01:04,360 Speaker 1: Obviously, the country's a mess, you know, When you look 22 00:01:04,400 --> 00:01:07,960 Speaker 1: at how young people broke overwhelmingly for Democrats by a 23 00:01:08,000 --> 00:01:10,640 Speaker 1: twenty eight point margin, it makes you worried. You know, 24 00:01:10,720 --> 00:01:13,480 Speaker 1: why are young voters so drawn to Democrats. 25 00:01:14,080 --> 00:01:16,480 Speaker 2: I think there's a lot of things going on. I 26 00:01:16,480 --> 00:01:19,560 Speaker 2: think the school system is a huge deal, right. I mean, 27 00:01:19,680 --> 00:01:23,880 Speaker 2: you have indoctrination machines at public universities and they've only 28 00:01:23,920 --> 00:01:27,920 Speaker 2: gotten worse. I've noticed. I'm twenty three. I have siblings 29 00:01:27,920 --> 00:01:33,720 Speaker 2: that are in elementary school and it's changed even the 30 00:01:33,800 --> 00:01:38,119 Speaker 2: last you know, fifteen years, it's gotten much more radical. 31 00:01:38,160 --> 00:01:40,120 Speaker 2: And then you have the teachers colleges, right, I mean 32 00:01:40,160 --> 00:01:42,959 Speaker 2: that's a big deal too. I also think media comes 33 00:01:43,000 --> 00:01:46,319 Speaker 2: into play. I think Democrats do an amazing job of 34 00:01:46,440 --> 00:01:50,680 Speaker 2: messaging to young people on Instagram, on TikTok, on Snapchat. 35 00:01:51,200 --> 00:01:55,520 Speaker 2: They're totally tech savvy and in a way that conservatives 36 00:01:55,600 --> 00:01:58,880 Speaker 2: just aren't. And I think that also plays into it. 37 00:01:58,920 --> 00:02:03,720 Speaker 2: And I also think there's the classic you're you're a 38 00:02:03,800 --> 00:02:06,240 Speaker 2: liberal when you're older, when you're when you're younger, and 39 00:02:06,240 --> 00:02:09,160 Speaker 2: then you become more conservative as you age. The problem 40 00:02:09,240 --> 00:02:13,120 Speaker 2: is we're our starting point for leftism with young people 41 00:02:13,160 --> 00:02:18,440 Speaker 2: today is radically worse than it was for liberals in 42 00:02:18,440 --> 00:02:21,760 Speaker 2: say the nineteen sixties, because at least those those liberals, right, 43 00:02:21,800 --> 00:02:25,440 Speaker 2: they believed in free speech and protest and all these 44 00:02:25,440 --> 00:02:29,440 Speaker 2: different things that the modern leftists, which I saw firsthand 45 00:02:29,480 --> 00:02:33,840 Speaker 2: at American universities completely reject, have gone in a really 46 00:02:34,200 --> 00:02:35,680 Speaker 2: i would say fascist direction. 47 00:02:36,120 --> 00:02:38,280 Speaker 1: Talk about the role of social media because you know, 48 00:02:38,280 --> 00:02:40,320 Speaker 1: when I I mean social media didn't really get I 49 00:02:40,360 --> 00:02:42,800 Speaker 1: don't think Facebook was around until I was in college, 50 00:02:42,919 --> 00:02:45,960 Speaker 1: you know, so I didn't grow up with TikTok and 51 00:02:46,120 --> 00:02:49,720 Speaker 1: Instagram and that whole How has that shaped young people 52 00:02:49,880 --> 00:02:51,840 Speaker 1: in today's society psychologically? 53 00:02:51,840 --> 00:02:54,760 Speaker 2: It's completely altered, and it's even altered their brain chemistry, right, 54 00:02:54,800 --> 00:02:57,880 Speaker 2: I mean you have really short attention spans just from 55 00:02:57,919 --> 00:03:01,200 Speaker 2: all of the scrolling and the short form content on 56 00:03:01,240 --> 00:03:04,840 Speaker 2: a on a you know, a more on a level 57 00:03:04,840 --> 00:03:08,400 Speaker 2: of of what kind of information that we're taking in, right, 58 00:03:08,480 --> 00:03:10,959 Speaker 2: I Mean, it's not it's not very in depth. We 59 00:03:11,720 --> 00:03:14,400 Speaker 2: people young people don't read anymore. It's something that I'm 60 00:03:14,440 --> 00:03:17,079 Speaker 2: a writer for The Federalist. We talked about it at 61 00:03:17,080 --> 00:03:19,960 Speaker 2: our last staff meeting, where I said, you know, unfortunately 62 00:03:20,680 --> 00:03:22,919 Speaker 2: kids aren't going to come to our young people gen 63 00:03:23,040 --> 00:03:25,240 Speaker 2: z Ers and even you know, the younger millennials are 64 00:03:25,240 --> 00:03:27,240 Speaker 2: not going to come to our site because they literally 65 00:03:27,280 --> 00:03:31,040 Speaker 2: just don't read. And and that plays a huge role 66 00:03:31,120 --> 00:03:34,000 Speaker 2: into the indoctrination game, right, because if you don't have 67 00:03:34,080 --> 00:03:37,000 Speaker 2: people that are thinking deeply, that are reading materials that 68 00:03:37,040 --> 00:03:41,160 Speaker 2: are have you know, been in the classic literature for 69 00:03:41,200 --> 00:03:42,920 Speaker 2: a long time, and they're getting all of their news 70 00:03:42,920 --> 00:03:45,600 Speaker 2: from TikTok. I think it's a stounding number, like it's 71 00:03:45,640 --> 00:03:48,360 Speaker 2: like seventy five percent of young people, so that they're 72 00:03:48,360 --> 00:03:52,160 Speaker 2: getting their news from TikTok, that that means that they're 73 00:03:52,280 --> 00:03:57,240 Speaker 2: very vulnerable to information warfare right and the left. As 74 00:03:57,280 --> 00:03:59,840 Speaker 2: I said, they do a great job of messaging to 75 00:04:00,160 --> 00:04:02,360 Speaker 2: people and in a way that conservatives just don't. 76 00:04:02,480 --> 00:04:05,800 Speaker 1: To your point, it shortened attention spans, and so it 77 00:04:05,840 --> 00:04:08,760 Speaker 1: does seem like everyone is so used to having things 78 00:04:08,760 --> 00:04:10,960 Speaker 1: so easily that it has led to a lack of 79 00:04:11,000 --> 00:04:13,240 Speaker 1: critical thinking, particularly among young people. 80 00:04:13,440 --> 00:04:17,560 Speaker 2: It definitely has. I'll also say if you even look 81 00:04:17,560 --> 00:04:21,280 Speaker 2: at public schools like how they teach these days, they 82 00:04:21,279 --> 00:04:25,400 Speaker 2: can't assign you know, thirty pages of reading a night. 83 00:04:25,520 --> 00:04:28,640 Speaker 2: Maybe maybe if you're in an ap class in your 84 00:04:28,720 --> 00:04:31,839 Speaker 2: later years of high school, they might do that, you're 85 00:04:31,880 --> 00:04:34,680 Speaker 2: seeing video content and that sort of thing come into 86 00:04:34,680 --> 00:04:38,680 Speaker 2: the classroom all the time. It's a complete degradation of 87 00:04:38,720 --> 00:04:42,360 Speaker 2: the American education system. That's why. And this is not 88 00:04:42,400 --> 00:04:44,680 Speaker 2: just at public schools. This is happening at private schools 89 00:04:44,680 --> 00:04:47,479 Speaker 2: as well. My parents have my siblings in a really 90 00:04:47,560 --> 00:04:53,080 Speaker 2: wonderful classical education school, but when I was when I 91 00:04:53,120 --> 00:04:55,119 Speaker 2: was in school in Wisconsin, I didn't have that also, 92 00:04:55,160 --> 00:04:56,680 Speaker 2: so it was it's really and then I had to 93 00:04:56,680 --> 00:04:58,200 Speaker 2: play catch up when I got to college. So they 94 00:04:58,200 --> 00:05:00,640 Speaker 2: got into a really good college. But I think it's 95 00:05:00,680 --> 00:05:03,159 Speaker 2: a problem across the board for young people. 96 00:05:03,360 --> 00:05:06,840 Speaker 1: What role do colleges play in turning out the youth vote? 97 00:05:06,920 --> 00:05:09,080 Speaker 1: You know, talk about some of the activism that goes 98 00:05:09,080 --> 00:05:11,919 Speaker 1: on on college campuses and what people should know about that. 99 00:05:12,200 --> 00:05:16,200 Speaker 2: They do a really interesting job with getting out the vote. 100 00:05:16,200 --> 00:05:18,840 Speaker 2: When I was a freshman at the University of Chicago, 101 00:05:18,880 --> 00:05:22,559 Speaker 2: which would have been in twenty eighteen, they had mass 102 00:05:22,600 --> 00:05:26,000 Speaker 2: incentives to get the young people to vote. So they 103 00:05:26,040 --> 00:05:29,839 Speaker 2: would say, you know, we'll have a free meal if 104 00:05:29,920 --> 00:05:34,000 Speaker 2: everybody on your floor registers to vote right, And they 105 00:05:34,120 --> 00:05:36,920 Speaker 2: do that because they know how young people are going 106 00:05:36,960 --> 00:05:39,640 Speaker 2: to vote right. They know that they're all going to 107 00:05:39,680 --> 00:05:42,039 Speaker 2: vote for whoever. The Democrat isn't off. I mean, if 108 00:05:42,279 --> 00:05:45,440 Speaker 2: even my husband graduated from UW Madison, Wisconsin is a 109 00:05:45,520 --> 00:05:51,560 Speaker 2: very fifty to fifty state, the campus of mostly left 110 00:05:51,600 --> 00:05:57,479 Speaker 2: wing students completely sways the vote in Wisconsin because there's 111 00:05:57,480 --> 00:06:00,479 Speaker 2: so many of them, and there's such a massive get 112 00:06:00,520 --> 00:06:03,800 Speaker 2: out the vote effort for for these young people, and 113 00:06:03,839 --> 00:06:06,600 Speaker 2: so I you know, it's it's you want you want 114 00:06:06,640 --> 00:06:09,440 Speaker 2: young people to be engaged, you want them to vote. 115 00:06:09,640 --> 00:06:12,719 Speaker 2: I I question the intentions sometimes of a lot of 116 00:06:12,760 --> 00:06:16,000 Speaker 2: these college campuses. I think most of them are doing 117 00:06:16,000 --> 00:06:17,880 Speaker 2: it because they know how they're going to vote, and 118 00:06:17,920 --> 00:06:23,120 Speaker 2: so they they're giving cash or or or food incentives, 119 00:06:23,120 --> 00:06:25,440 Speaker 2: which can be a little bit dicey, right, And there's 120 00:06:25,480 --> 00:06:29,400 Speaker 2: there's some ethics that goes into that, but definitely there's 121 00:06:29,480 --> 00:06:32,400 Speaker 2: there's a mass get out the vote effort on college campuses. 122 00:06:32,480 --> 00:06:36,320 Speaker 2: And I don't believe it's for it's for altruistic, you know, 123 00:06:36,440 --> 00:06:38,600 Speaker 2: reasons of we just want everybody to vote. I really 124 00:06:38,640 --> 00:06:42,800 Speaker 2: think it's it's political. And I think Republicans probably don't 125 00:06:42,800 --> 00:06:45,440 Speaker 2: message to these to these campuses as much as they 126 00:06:45,720 --> 00:06:50,240 Speaker 2: they as as their counterparts do because you know, young 127 00:06:50,279 --> 00:06:51,640 Speaker 2: students tend to vote one way. 128 00:06:51,960 --> 00:06:54,320 Speaker 1: Now, you know you talk about sort of these you know, 129 00:06:54,400 --> 00:06:57,760 Speaker 1: turnout operations more or less. Is there pressure to vote 130 00:06:57,760 --> 00:07:00,240 Speaker 1: a certain way? Like do you feel that as a student. 131 00:07:00,720 --> 00:07:05,280 Speaker 2: Yeah, well, I think it's not just about voting one way. 132 00:07:05,400 --> 00:07:08,719 Speaker 2: I think it's just how you view the world in general. 133 00:07:08,880 --> 00:07:11,280 Speaker 2: There's a lot of pressure. There's a lot of social pressure. 134 00:07:11,400 --> 00:07:15,560 Speaker 2: So being a conservative on a college campus is never 135 00:07:15,800 --> 00:07:18,440 Speaker 2: a popular choice. And I think some people will say, oh, well, 136 00:07:18,480 --> 00:07:23,240 Speaker 2: there's you know, there's schools and red states, and that 137 00:07:23,280 --> 00:07:25,960 Speaker 2: means nothing. Right if you go to if you go 138 00:07:26,080 --> 00:07:29,160 Speaker 2: to a southern school, you go to all miss right, 139 00:07:29,240 --> 00:07:32,280 Speaker 2: it's still going to be a mostly left wing campus 140 00:07:32,360 --> 00:07:35,800 Speaker 2: just because of the way young people are these days. 141 00:07:36,600 --> 00:07:41,520 Speaker 2: And there's massive social pressure to be a leftist and 142 00:07:41,600 --> 00:07:43,840 Speaker 2: to vote a certain way, and if you don't, there's 143 00:07:44,080 --> 00:07:46,280 Speaker 2: a ton of name calling that comes with it. And 144 00:07:46,280 --> 00:07:50,000 Speaker 2: that's I think the power that leftists have over young people. 145 00:07:50,000 --> 00:07:53,400 Speaker 2: And I'll also say specifically women. Nobody wants to be 146 00:07:53,440 --> 00:07:57,200 Speaker 2: called a racist or a homophobic, or xenophobic or transphobic. 147 00:07:57,640 --> 00:08:01,560 Speaker 2: They use these words as power over young people who 148 00:08:01,640 --> 00:08:03,280 Speaker 2: want to fit in, who don't want to be seen 149 00:08:03,320 --> 00:08:06,360 Speaker 2: as cruel or mean or insensitive. So they throw these 150 00:08:06,400 --> 00:08:09,280 Speaker 2: words at you if you don't agree with them politically, 151 00:08:09,720 --> 00:08:12,280 Speaker 2: and they use that to control you. And they also 152 00:08:12,640 --> 00:08:15,080 Speaker 2: once you have these words come at you all the time, right, 153 00:08:15,120 --> 00:08:17,080 Speaker 2: you feel bad about the way that you were raised 154 00:08:17,120 --> 00:08:21,680 Speaker 2: or the values that you have. You start to self censor, right. 155 00:08:21,800 --> 00:08:24,800 Speaker 2: And then after you self censor so many times, then 156 00:08:24,840 --> 00:08:27,320 Speaker 2: you actually start to believe the stuff that people are 157 00:08:27,360 --> 00:08:30,400 Speaker 2: saying around you. And that's when the indoctrination happens. And 158 00:08:31,240 --> 00:08:33,840 Speaker 2: this is across the board, happening at all college campuses, 159 00:08:34,040 --> 00:08:35,839 Speaker 2: whether in a red state or a blue state. 160 00:08:36,000 --> 00:08:39,360 Speaker 1: How was mail in balloting impacted the youth vote or 161 00:08:39,400 --> 00:08:41,160 Speaker 1: even particularly on college campuses. 162 00:08:41,480 --> 00:08:43,960 Speaker 2: Yeah, that's an interesting one. I think a lot of 163 00:08:44,360 --> 00:08:47,240 Speaker 2: young so a lot of young people they like convenience, right, 164 00:08:47,520 --> 00:08:50,240 Speaker 2: if you ask that, there's tons of polls about if 165 00:08:50,280 --> 00:08:52,679 Speaker 2: they want to work remotely, if they want to come 166 00:08:52,720 --> 00:08:58,040 Speaker 2: into the office. Overwhelmingly kids want to work remotely. When 167 00:08:58,080 --> 00:09:00,880 Speaker 2: cod when COVID hit, right and they said they wanted 168 00:09:00,920 --> 00:09:04,120 Speaker 2: to come back to campus, at least the administrations did. 169 00:09:04,120 --> 00:09:07,439 Speaker 2: There was petitions from the students saying no, we want 170 00:09:07,480 --> 00:09:12,880 Speaker 2: to stay remote, which not conducive for working remote jobs 171 00:09:12,920 --> 00:09:16,480 Speaker 2: are not. Productivity is significantly lower if you don't come 172 00:09:16,480 --> 00:09:19,440 Speaker 2: into office, and the same goes for remote classes. I 173 00:09:19,480 --> 00:09:23,040 Speaker 2: think the mail in balloting has just come in with 174 00:09:23,080 --> 00:09:26,079 Speaker 2: this convenience culture for gen Z, right, They just they 175 00:09:26,120 --> 00:09:28,960 Speaker 2: see it as a way to make things easier, And 176 00:09:29,000 --> 00:09:33,640 Speaker 2: the problem is it's degradating our voting system. Right. We 177 00:09:33,760 --> 00:09:38,000 Speaker 2: know that these mail and ballots are susceptible to fraud 178 00:09:38,120 --> 00:09:41,080 Speaker 2: in a way that the in person voting wasn't. So 179 00:09:41,679 --> 00:09:44,160 Speaker 2: I think it's an easy sell for gen Zers with 180 00:09:44,240 --> 00:09:48,080 Speaker 2: the convenience culture, but ultimately a really bad thing for 181 00:09:48,160 --> 00:09:48,720 Speaker 2: our country. 182 00:09:48,960 --> 00:09:50,560 Speaker 1: You know, you wrote in one of your columns about 183 00:09:50,559 --> 00:09:53,680 Speaker 1: the midterms this election cycle was a lost opportunity for 184 00:09:53,760 --> 00:09:56,840 Speaker 1: Republicans who had a chance to remind young voters the 185 00:09:56,880 --> 00:10:00,800 Speaker 1: Democrats violated their bodily autonomy and mentally lave them for 186 00:10:00,880 --> 00:10:05,560 Speaker 1: two years. How impactful were COVID policies on college students 187 00:10:05,600 --> 00:10:07,360 Speaker 1: and what do you think the message should have been 188 00:10:07,360 --> 00:10:07,720 Speaker 1: to them? 189 00:10:08,000 --> 00:10:12,600 Speaker 2: COVID was unprecedented on college campuses, right, And like this 190 00:10:12,679 --> 00:10:15,840 Speaker 2: is something that we had in the nineteen sixties, right, 191 00:10:15,880 --> 00:10:19,160 Speaker 2: you had this revolt to say, get out of our lives. 192 00:10:19,200 --> 00:10:21,600 Speaker 2: The administration doesn't tell us what to do. They don't 193 00:10:21,600 --> 00:10:25,000 Speaker 2: give us curfews, specifically for women. Right they had women 194 00:10:25,040 --> 00:10:27,280 Speaker 2: were allowed to go to leave campus, they had to 195 00:10:27,320 --> 00:10:31,240 Speaker 2: get signed permissionships from their parents. Suddenly we saw this 196 00:10:31,600 --> 00:10:37,560 Speaker 2: massive overreach of the campus administration during COVID, controlling every 197 00:10:37,679 --> 00:10:40,560 Speaker 2: aspect of young people's lives. And when it was the 198 00:10:40,640 --> 00:10:43,640 Speaker 2: leftist in the nineteen sixties saying get out of our lives, 199 00:10:43,800 --> 00:10:47,160 Speaker 2: suddenly the leftists in twenty twenty to twenty twenty two 200 00:10:47,520 --> 00:10:51,160 Speaker 2: were saying, we want the administration to put more precautions 201 00:10:51,559 --> 00:10:55,240 Speaker 2: and regulations on us in a really sort of bizarre way. 202 00:10:55,280 --> 00:10:57,600 Speaker 2: And this has been prepped for a long time. Right, 203 00:10:57,679 --> 00:11:01,800 Speaker 2: there's at most schools there are as many, if not 204 00:11:01,960 --> 00:11:05,360 Speaker 2: more administrators than there are professors. The administrations used to 205 00:11:05,400 --> 00:11:07,880 Speaker 2: be much smaller. Now they're massive. And what they what 206 00:11:07,960 --> 00:11:10,400 Speaker 2: they did was they would say you have to wear 207 00:11:10,400 --> 00:11:13,000 Speaker 2: a mask at all times. You have to. You know, 208 00:11:13,160 --> 00:11:16,320 Speaker 2: you have to. If you're unvaccinated, you can't come to class, 209 00:11:16,440 --> 00:11:19,199 Speaker 2: or you have to eat in a separate area. You 210 00:11:19,520 --> 00:11:22,280 Speaker 2: have to get a vaccine if you wanted not if 211 00:11:22,320 --> 00:11:23,960 Speaker 2: you want to exempt yourself from the vaccine. You have 212 00:11:24,000 --> 00:11:26,800 Speaker 2: to get a permission sent from a doctor or religious 213 00:11:27,679 --> 00:11:31,520 Speaker 2: or your religious pastor or of some sort, and oftentimes 214 00:11:31,520 --> 00:11:33,560 Speaker 2: they would deny those things, so some students were even 215 00:11:33,640 --> 00:11:37,640 Speaker 2: expelled for not taking the vaccine. They implemented these communist 216 00:11:37,679 --> 00:11:41,880 Speaker 2: reporting systems where they had students report their classmates or 217 00:11:41,920 --> 00:11:45,200 Speaker 2: their teachers for breaking COVID rules. So one example is 218 00:11:45,200 --> 00:11:48,200 Speaker 2: I had friends who took a picture that they posted 219 00:11:48,200 --> 00:11:52,920 Speaker 2: on Instagram in a group setting. They were wearing masks, 220 00:11:53,240 --> 00:11:55,920 Speaker 2: but they weren't six feet apart in the photo that 221 00:11:55,920 --> 00:11:59,480 Speaker 2: they posted on Instagram, and they got reported and threatened 222 00:11:59,520 --> 00:12:02,880 Speaker 2: with being kicked out of student housing. And the reason 223 00:12:02,880 --> 00:12:06,640 Speaker 2: that they were actually reported is because leftist students knew 224 00:12:06,640 --> 00:12:09,760 Speaker 2: that these students were part of our conservative school paper. 225 00:12:10,080 --> 00:12:13,120 Speaker 2: So it was actually targeting of people that you didn't like. 226 00:12:13,600 --> 00:12:18,080 Speaker 2: It was extremely communist and disturbing, and the schools actually 227 00:12:18,080 --> 00:12:21,040 Speaker 2: made you sign forms when you came on to campus 228 00:12:21,280 --> 00:12:25,319 Speaker 2: saying I promised that if I see someone breaking COVID rules, 229 00:12:25,360 --> 00:12:29,120 Speaker 2: I will report them to the COVID reporting system. I 230 00:12:29,160 --> 00:12:33,480 Speaker 2: will turn them in. Really bizarre and in my opinion, 231 00:12:33,640 --> 00:12:38,400 Speaker 2: communist policies from these university administrations totally communists. 232 00:12:38,400 --> 00:12:41,079 Speaker 1: Also, snitches end up in ditches, is what I've learned 233 00:12:41,120 --> 00:12:43,480 Speaker 1: to growing up. You know, why do you think these 234 00:12:43,520 --> 00:12:47,520 Speaker 1: colleges and universities were even forcing students to get vaccinated 235 00:12:47,559 --> 00:12:49,559 Speaker 1: or isolate in the first place. I mean, we know 236 00:12:49,720 --> 00:12:52,960 Speaker 1: statistically young people are just not at risk from COVID. 237 00:12:53,040 --> 00:12:55,959 Speaker 1: So why was it a test of submission or why 238 00:12:55,960 --> 00:12:59,960 Speaker 1: do you think they forced students to subscribe to policies 239 00:13:00,040 --> 00:13:00,760 Speaker 1: they never needed to. 240 00:13:01,160 --> 00:13:05,000 Speaker 2: It's interesting that you asked that because I would have thought, right, 241 00:13:05,080 --> 00:13:07,280 Speaker 2: if this is an experimental vaccine, we don't know what 242 00:13:07,280 --> 00:13:08,920 Speaker 2: the side effects are going to be. We know that 243 00:13:08,960 --> 00:13:11,600 Speaker 2: the students aren't at risk, Why would we take that 244 00:13:11,800 --> 00:13:13,840 Speaker 2: chance of having a vaccine mandate when we could be 245 00:13:13,880 --> 00:13:16,719 Speaker 2: slapped with lawsuits? Right if students get vaccine injured? And 246 00:13:16,880 --> 00:13:18,640 Speaker 2: by the way, I know of students who have been 247 00:13:18,679 --> 00:13:21,200 Speaker 2: vaccine injured who were forced to get the vaccine because 248 00:13:21,200 --> 00:13:24,560 Speaker 2: of the mandate. What I think happened is they all 249 00:13:24,600 --> 00:13:28,560 Speaker 2: take cues from each other. They're not really independent institutions. 250 00:13:28,600 --> 00:13:31,959 Speaker 2: They're not really free thinkers, which makes sense because they 251 00:13:32,000 --> 00:13:35,000 Speaker 2: don't they don't produce free thinkers, so they are all taking 252 00:13:35,040 --> 00:13:38,920 Speaker 2: cues from each other. So, for example, U Chicago follows 253 00:13:38,960 --> 00:13:43,000 Speaker 2: Harvard all the time. Whatever Harvard does, U Chicago does, 254 00:13:43,080 --> 00:13:46,840 Speaker 2: So we knew the second that Harvard said we're locking down, 255 00:13:46,880 --> 00:13:48,640 Speaker 2: we're going to we're going to shut down classes and 256 00:13:48,640 --> 00:13:50,839 Speaker 2: go remote, or we're going to have a vaccine mandate, 257 00:13:50,920 --> 00:13:53,040 Speaker 2: or we're going to have a booster mandate. Within a 258 00:13:53,040 --> 00:13:56,520 Speaker 2: couple of days, and even within you know, a few hours, 259 00:13:56,760 --> 00:13:59,160 Speaker 2: U Chicago did the same thing. So they all sort 260 00:13:59,200 --> 00:14:02,160 Speaker 2: of took cues. Nobody wanted to be the one school 261 00:14:02,440 --> 00:14:06,880 Speaker 2: that didn't shut down, that didn't you know, that that 262 00:14:06,960 --> 00:14:09,000 Speaker 2: didn't have a vaccine mandate, because they're all sort of 263 00:14:09,080 --> 00:14:11,720 Speaker 2: virtue signaling to each other. Nobody wants to be the 264 00:14:11,720 --> 00:14:15,840 Speaker 2: one that's insensitive or the outlier or not taking allegedly 265 00:14:15,920 --> 00:14:19,640 Speaker 2: not taking the pandemic seriously. And I think really it's 266 00:14:19,680 --> 00:14:23,800 Speaker 2: a testament to how bad these universities have gotten. They're 267 00:14:23,840 --> 00:14:26,320 Speaker 2: really not free institutions, and the students that they produce 268 00:14:26,360 --> 00:14:28,080 Speaker 2: aren't free either. It seems like. 269 00:14:28,040 --> 00:14:32,600 Speaker 1: There is an increasing herd mentality among young people. Is 270 00:14:32,640 --> 00:14:36,680 Speaker 1: that social media that's reinforcing that, the fear of you know, 271 00:14:36,720 --> 00:14:38,920 Speaker 1: standing out or being ostracized from the crowd. 272 00:14:39,200 --> 00:14:42,680 Speaker 2: Yeah, I mean I think social media reinforces it. But 273 00:14:42,720 --> 00:14:45,560 Speaker 2: I think this has been this is more of a 274 00:14:46,040 --> 00:14:48,480 Speaker 2: cultural thing that has been happening for a few a 275 00:14:48,520 --> 00:14:52,440 Speaker 2: few years now. Is this this herd mentality and you're 276 00:14:52,480 --> 00:14:55,440 Speaker 2: in your right when you when you describe it that way. 277 00:14:56,520 --> 00:14:58,160 Speaker 2: And I think when I when I brought up the 278 00:14:58,240 --> 00:15:02,600 Speaker 2: name calling, right, I think that's huge deal. I think 279 00:15:02,640 --> 00:15:05,080 Speaker 2: it's the I think it's the virtue signaling. I think 280 00:15:05,120 --> 00:15:09,680 Speaker 2: all of it sort of plays plays into it, and 281 00:15:09,720 --> 00:15:15,160 Speaker 2: it is reinforcing this your right herd mentality and not 282 00:15:15,320 --> 00:15:19,280 Speaker 2: being free to say what you think because of not 283 00:15:19,480 --> 00:15:22,400 Speaker 2: just what your peers will say about you, but what 284 00:15:22,480 --> 00:15:24,800 Speaker 2: your future holds. So there were a lot of young 285 00:15:24,840 --> 00:15:29,560 Speaker 2: people who during COVID didn't like the vaccine mandates, didn't 286 00:15:29,680 --> 00:15:33,160 Speaker 2: like the mask mandates, knew that they were ineffective, but 287 00:15:33,240 --> 00:15:36,000 Speaker 2: they said, you know what, We're going to comply because 288 00:15:36,040 --> 00:15:38,200 Speaker 2: if I get written up, if I get something on 289 00:15:38,200 --> 00:15:41,680 Speaker 2: my school record and it gets back to my future employer, 290 00:15:42,000 --> 00:15:44,440 Speaker 2: I'm not going to get that Goldmen Sax internship. I'm 291 00:15:44,480 --> 00:15:46,520 Speaker 2: not going to go to JP Morgan, I'm not going 292 00:15:46,560 --> 00:15:50,720 Speaker 2: to be There is a a social credit system that 293 00:15:50,880 --> 00:15:53,680 Speaker 2: is not as official as it is in China, but 294 00:15:54,040 --> 00:15:58,640 Speaker 2: it's definitely here, and young people feel it way more 295 00:15:58,680 --> 00:16:01,800 Speaker 2: than the older generations do because it's with them since 296 00:16:01,960 --> 00:16:05,120 Speaker 2: they're in elementary school, right, all of the virtue signaling, 297 00:16:05,520 --> 00:16:08,240 Speaker 2: all of the herd mentality is always there, and they 298 00:16:08,320 --> 00:16:11,480 Speaker 2: know that there will be consequences if they step out 299 00:16:11,520 --> 00:16:11,920 Speaker 2: of the norm. 300 00:16:12,080 --> 00:16:17,520 Speaker 1: Take a quick break more on gen Z. We're seeing 301 00:16:17,960 --> 00:16:21,200 Speaker 1: rates of depression go up in young people. I mean, 302 00:16:21,280 --> 00:16:24,200 Speaker 1: there was a recent report that showed almost sixty percent 303 00:16:24,280 --> 00:16:28,280 Speaker 1: of US girls reported persistent sadness and hopelessness, and rates 304 00:16:28,800 --> 00:16:31,480 Speaker 1: are up for boys as well. Why do you think 305 00:16:31,600 --> 00:16:33,960 Speaker 1: so many young people are so depressed. 306 00:16:34,280 --> 00:16:35,720 Speaker 2: I don't like to be the one that says like 307 00:16:35,760 --> 00:16:38,760 Speaker 2: social media is like the cause of everything, right, it's 308 00:16:38,800 --> 00:16:41,280 Speaker 2: the bane of civilization. But I do think social media 309 00:16:41,320 --> 00:16:44,080 Speaker 2: plays a role in it. Right, there's like a big 310 00:16:44,240 --> 00:16:46,400 Speaker 2: there's a lot of comparisons that have been Right, if 311 00:16:46,440 --> 00:16:49,480 Speaker 2: you're on TikTok and Instagram and you see all these 312 00:16:49,520 --> 00:16:51,960 Speaker 2: airbrush photos of these girls who look perfect and they're 313 00:16:51,960 --> 00:16:54,400 Speaker 2: getting millions of views and you don't look like that, 314 00:16:54,400 --> 00:16:56,400 Speaker 2: that can be really depressing. But I think it's just 315 00:16:57,040 --> 00:17:01,360 Speaker 2: not being present in general is the problem. I think 316 00:17:01,400 --> 00:17:04,679 Speaker 2: you're consumed by your phones. I don't think young people 317 00:17:05,080 --> 00:17:08,800 Speaker 2: have human human interaction, and this was especially true during COVID. 318 00:17:09,200 --> 00:17:11,280 Speaker 2: I think religion plays a big role into it, what 319 00:17:11,720 --> 00:17:15,440 Speaker 2: brings you purpose in life, And the truth is most 320 00:17:15,480 --> 00:17:19,760 Speaker 2: young people are atheist or agnostic, or if they are 321 00:17:19,920 --> 00:17:23,119 Speaker 2: identifying as a religion, they're not very practicing. These are 322 00:17:23,240 --> 00:17:26,960 Speaker 2: things that give people grounding and give them purpose, and 323 00:17:27,000 --> 00:17:29,600 Speaker 2: when you take that away from them, they get depressed. 324 00:17:29,960 --> 00:17:31,800 Speaker 2: So I'm not surprised by the numbers at all. 325 00:17:32,200 --> 00:17:34,240 Speaker 1: Do you think the reason you turned out so normal 326 00:17:34,320 --> 00:17:39,000 Speaker 1: is because of your parents? Because you certainly stand out 327 00:17:39,040 --> 00:17:42,680 Speaker 1: in a sea of sheet people and a sea of 328 00:17:42,720 --> 00:17:43,720 Speaker 1: a broken generation. 329 00:17:43,840 --> 00:17:46,560 Speaker 2: It seems I appreciate that. It's very nice of you 330 00:17:46,640 --> 00:17:48,600 Speaker 2: to say that. Yeah, I mean, my parents are wonderful, 331 00:17:49,600 --> 00:17:52,760 Speaker 2: something that I always because I didn't go to a 332 00:17:52,880 --> 00:17:56,919 Speaker 2: super conservative school. Actually I went to for most of 333 00:17:57,080 --> 00:18:00,800 Speaker 2: elementary school, actually for all of the elementsentry school, I 334 00:18:00,880 --> 00:18:03,600 Speaker 2: went to a very left wing school. So my dad 335 00:18:03,640 --> 00:18:08,240 Speaker 2: was running for Congress. I was coming into class and 336 00:18:08,280 --> 00:18:12,520 Speaker 2: people would bring in literature against him, right, making fun 337 00:18:12,560 --> 00:18:15,480 Speaker 2: of him. My teacher, my teacher would come and try 338 00:18:15,480 --> 00:18:17,679 Speaker 2: to debate me. I'm like a little fifth grader, and 339 00:18:17,720 --> 00:18:21,800 Speaker 2: she would try to debate me on what terrible things 340 00:18:21,840 --> 00:18:26,280 Speaker 2: my parents are saying or trying to run on. But 341 00:18:26,400 --> 00:18:29,520 Speaker 2: I think what was different about me is that I 342 00:18:30,520 --> 00:18:33,960 Speaker 2: really was energized by that kind of you know, the 343 00:18:34,400 --> 00:18:38,760 Speaker 2: politics and the battle of ideas. I thought it was 344 00:18:38,800 --> 00:18:41,160 Speaker 2: really fun. I had a situation I don't know if 345 00:18:41,160 --> 00:18:45,920 Speaker 2: you remember, but during the Scott Walker protests in Wisconsin, 346 00:18:46,240 --> 00:18:51,040 Speaker 2: because he had taken away public sector union, so the 347 00:18:51,119 --> 00:18:54,440 Speaker 2: teachers were very angry. They occupied the capitol in Wisconsin. 348 00:18:54,480 --> 00:18:57,560 Speaker 2: It was a massive, these massive protests. My dad did 349 00:18:57,560 --> 00:19:00,360 Speaker 2: a fundraiser with Scott Walker in twenty ten, and at 350 00:19:00,359 --> 00:19:03,560 Speaker 2: the protest I saw my fifth grade teacher and two 351 00:19:03,600 --> 00:19:07,160 Speaker 2: of my best friends protesting against us as we were 352 00:19:07,160 --> 00:19:10,840 Speaker 2: going into this fundraiser. And I think most people would 353 00:19:10,880 --> 00:19:13,840 Speaker 2: like be really traumatized by that situation, but I just 354 00:19:14,200 --> 00:19:16,760 Speaker 2: was very energized by it. And I noticed that in 355 00:19:16,800 --> 00:19:19,040 Speaker 2: my own family, right, there are some like some kids 356 00:19:19,080 --> 00:19:22,280 Speaker 2: are really excited by you know, this battle of ideas, 357 00:19:22,320 --> 00:19:24,720 Speaker 2: and some kids, some kids in our families say I 358 00:19:24,920 --> 00:19:28,600 Speaker 2: just I'd rather just you know, not not not be 359 00:19:28,680 --> 00:19:30,399 Speaker 2: in the battle all the time. But I think the 360 00:19:30,440 --> 00:19:33,080 Speaker 2: most important thing growing up was that my parents always 361 00:19:33,119 --> 00:19:35,600 Speaker 2: had conversations at the dinner table. So any time that 362 00:19:35,840 --> 00:19:37,919 Speaker 2: something was came up at school or came up in 363 00:19:38,000 --> 00:19:40,399 Speaker 2: girl Scouts, and they would always we would always come 364 00:19:40,480 --> 00:19:45,120 Speaker 2: home and we always talked politics and about our culture 365 00:19:45,160 --> 00:19:49,159 Speaker 2: and values at a very very young age. And they 366 00:19:49,160 --> 00:19:51,280 Speaker 2: were and they didn't talk to us like children either. 367 00:19:51,359 --> 00:19:54,000 Speaker 2: They were they never talked down. They always explained things 368 00:19:54,000 --> 00:19:56,479 Speaker 2: like we were, you know, that we were real people. 369 00:19:56,880 --> 00:19:59,000 Speaker 2: And I thought that was really helpful. You know. 370 00:19:59,040 --> 00:20:02,080 Speaker 1: I had a similar upbringing because my first word was no, 371 00:20:02,720 --> 00:20:07,600 Speaker 1: and then why came shortly after, which makes lot I 372 00:20:07,600 --> 00:20:10,040 Speaker 1: love that. Yeah, but but right dad, you know, but 373 00:20:10,040 --> 00:20:12,640 Speaker 1: my parents took time to like debate me and tell 374 00:20:12,680 --> 00:20:16,000 Speaker 1: me why, and explain things and have conversations and really 375 00:20:16,040 --> 00:20:21,399 Speaker 1: fostered that environment like you're describing, of debate, conversation, critical thinking, 376 00:20:21,560 --> 00:20:24,560 Speaker 1: you know, desiring to stand alone, and that it was 377 00:20:24,600 --> 00:20:26,159 Speaker 1: okay to not be a part of the crowd. 378 00:20:26,200 --> 00:20:26,359 Speaker 2: You know. 379 00:20:26,440 --> 00:20:28,320 Speaker 1: So I really do think a lot of that, you know, 380 00:20:28,359 --> 00:20:30,840 Speaker 1: a lot of those conversations, and that upbringing comes into 381 00:20:30,840 --> 00:20:33,440 Speaker 1: play obviously now as adults that we both are It's 382 00:20:33,640 --> 00:20:36,160 Speaker 1: interesting that we kind of had, uh, you know, similar 383 00:20:36,240 --> 00:20:40,000 Speaker 1: upbringings in that way. Are these younger generations lost or 384 00:20:40,040 --> 00:20:42,920 Speaker 1: as conservatives? You know, how do we message them? Can 385 00:20:42,960 --> 00:20:45,639 Speaker 1: we reach them? What does that messaging? What should that 386 00:20:45,680 --> 00:20:46,080 Speaker 1: look like? 387 00:20:46,400 --> 00:20:50,400 Speaker 2: I have a good example there. Now I'm forgetting his name. 388 00:20:50,760 --> 00:20:52,080 Speaker 2: I'm going to look. I'm going to look it up. 389 00:20:52,119 --> 00:20:57,840 Speaker 2: But there's this Democrat representative who is doing the most amazing. Okay, 390 00:20:57,840 --> 00:21:01,240 Speaker 2: so I'll go back for a second. I did say 391 00:21:01,240 --> 00:21:04,240 Speaker 2: that there's an issue with young people in attention spans 392 00:21:04,240 --> 00:21:07,879 Speaker 2: on social media. The problem is if you boycott social 393 00:21:07,960 --> 00:21:10,160 Speaker 2: media as a conservative because you say, oh, well it's 394 00:21:10,200 --> 00:21:12,240 Speaker 2: not you know, it's not good for kids. I'm not 395 00:21:12,280 --> 00:21:14,119 Speaker 2: going to be messaging on there. I'm going to do 396 00:21:14,160 --> 00:21:16,280 Speaker 2: press releases instead or write off eds in the New 397 00:21:16,359 --> 00:21:20,199 Speaker 2: York Times or the Wall Street Journal. You're not going 398 00:21:20,280 --> 00:21:22,359 Speaker 2: to reach them. You have to go into the belly 399 00:21:22,359 --> 00:21:24,680 Speaker 2: of the beast because you don't have an option. That's 400 00:21:24,720 --> 00:21:27,920 Speaker 2: where people are. So as much as we don't like TikTok, 401 00:21:28,320 --> 00:21:32,240 Speaker 2: we could talk about, you know, the CCP influence campaigns 402 00:21:32,240 --> 00:21:35,479 Speaker 2: on it and whatnot, but the point is there's one 403 00:21:35,520 --> 00:21:38,080 Speaker 2: hundred and fifty million Americans on the app. You have 404 00:21:38,119 --> 00:21:41,920 Speaker 2: to be there. Democrats are there, Republicans aren't. Republicans could 405 00:21:41,920 --> 00:21:44,160 Speaker 2: at least be doing the same thing on Instagram, right, 406 00:21:44,480 --> 00:21:46,560 Speaker 2: but they're not. Democrats are the only ones that are 407 00:21:46,600 --> 00:21:49,400 Speaker 2: doing real messaging. I think AOC does a great job. 408 00:21:49,480 --> 00:21:52,359 Speaker 2: She does live streams all the time. If something's happening 409 00:21:52,359 --> 00:21:55,399 Speaker 2: in Congress, it's getting a lot of traction. She's up 410 00:21:55,440 --> 00:22:00,199 Speaker 2: in front of her camera, her camera talking about the 411 00:22:00,240 --> 00:22:04,040 Speaker 2: issues in a really straightforward, seamless way, so that young 412 00:22:04,080 --> 00:22:07,720 Speaker 2: people know what she's talking about, and it feels very conversational, 413 00:22:07,760 --> 00:22:11,760 Speaker 2: it feels very real. Republicans don't do that. I think 414 00:22:12,000 --> 00:22:14,840 Speaker 2: Kevin McCarthy is. I mean, he should be doing that 415 00:22:15,640 --> 00:22:19,440 Speaker 2: every day. He should have four or five videos about 416 00:22:19,440 --> 00:22:22,440 Speaker 2: what's going on in Congress. That's the way to refute 417 00:22:22,520 --> 00:22:25,280 Speaker 2: the left slides when they come on social media and 418 00:22:25,320 --> 00:22:27,919 Speaker 2: they say, look what Republicans are doing. They're trying to 419 00:22:28,520 --> 00:22:32,360 Speaker 2: take away insulin for people with diabetes. Right. They'll say 420 00:22:32,359 --> 00:22:36,159 Speaker 2: that kind of stuff, and when Republicans aren't responding to 421 00:22:36,200 --> 00:22:41,119 Speaker 2: it on these platforms in a meaningful way, Democrats control 422 00:22:41,160 --> 00:22:44,720 Speaker 2: the conversation. And this happens over and over again with 423 00:22:44,840 --> 00:22:47,160 Speaker 2: every single issue. Because I'm on social media, I see 424 00:22:47,200 --> 00:22:49,679 Speaker 2: it and it's so so frustrating. 425 00:22:50,000 --> 00:22:52,520 Speaker 1: No, it's such a good point. I mean, obviously, you know, 426 00:22:52,960 --> 00:22:56,800 Speaker 1: we criticize TikTok rightfully so because it's you know, basically 427 00:22:56,880 --> 00:22:59,920 Speaker 1: controlled by the Communist Party of China. But to your point, 428 00:23:00,359 --> 00:23:02,199 Speaker 1: you know, this is where young people are, you know, 429 00:23:02,280 --> 00:23:04,160 Speaker 1: and so if you want to reach them and message 430 00:23:04,160 --> 00:23:06,040 Speaker 1: to them, perhaps you know, we have to go into 431 00:23:06,080 --> 00:23:07,720 Speaker 1: the belly of the bat, so to speak. You know, 432 00:23:08,280 --> 00:23:12,400 Speaker 1: you wrote not bed recently about how Facebook, Instagram, and Twitter, 433 00:23:12,720 --> 00:23:16,840 Speaker 1: YouTube and snapchat pose a far greater risk than TikTok. 434 00:23:17,440 --> 00:23:18,919 Speaker 1: Explain yourself, young lady. 435 00:23:19,440 --> 00:23:24,080 Speaker 2: Yeah, yeah, And it's just a controversial piece. Within my 436 00:23:24,119 --> 00:23:26,960 Speaker 2: own staff at the Federalists, there were some people saying, 437 00:23:27,000 --> 00:23:28,640 Speaker 2: I don't I don't even know if we should run 438 00:23:28,680 --> 00:23:32,840 Speaker 2: this article because they didn't want to undermine the risks 439 00:23:32,960 --> 00:23:35,320 Speaker 2: of TikTok. And I'm not going to say that TikTok 440 00:23:35,440 --> 00:23:39,800 Speaker 2: is not a risk. I've written about Chinese influence campaigns 441 00:23:39,840 --> 00:23:43,760 Speaker 2: being waged on TikTok against young people. I understand. What 442 00:23:43,800 --> 00:23:46,399 Speaker 2: I'm saying is I think our social media companies are worse. 443 00:23:46,720 --> 00:23:49,120 Speaker 2: I mean, you have we know from the Twitter files, 444 00:23:49,480 --> 00:23:54,080 Speaker 2: that Instagram, Facebook, Twitter, YouTube, all of these companies are 445 00:23:54,080 --> 00:23:58,240 Speaker 2: in collusion with the deep state to interfere in our elections. 446 00:23:58,400 --> 00:24:02,120 Speaker 2: They suppress the Hunter Biden laptop story. They silenced doctors 447 00:24:02,240 --> 00:24:06,280 Speaker 2: during COVID, they promoted the Russian collusion hooks. They're shadow 448 00:24:06,320 --> 00:24:10,440 Speaker 2: banding conservatives. These are in these the collusion between big 449 00:24:10,520 --> 00:24:12,600 Speaker 2: tech and the deep state, American big tech and the 450 00:24:12,640 --> 00:24:16,840 Speaker 2: deep state is an immediate threat to conservatives specifically, but 451 00:24:16,960 --> 00:24:20,760 Speaker 2: in general Americans freedom and our and our ability to 452 00:24:21,800 --> 00:24:27,359 Speaker 2: effectively have a free speech public square. Right on TikTok, 453 00:24:27,760 --> 00:24:32,120 Speaker 2: there's actually comparatively more freedom than there is on American 454 00:24:32,160 --> 00:24:35,720 Speaker 2: social media companies. For example, there's Alila Rose video where 455 00:24:35,760 --> 00:24:38,200 Speaker 2: she says it's never medically necessary to have an abortion. 456 00:24:38,840 --> 00:24:41,399 Speaker 2: That video was slapped with the fact check on Instagram, 457 00:24:41,800 --> 00:24:45,200 Speaker 2: but was untouched on TikTok. The exact same video untouched 458 00:24:45,200 --> 00:24:48,320 Speaker 2: on TikTok. And there could be reasons for TikTok to 459 00:24:48,880 --> 00:24:50,359 Speaker 2: want to do that, right. They could say, you know, 460 00:24:50,440 --> 00:24:53,080 Speaker 2: we want we want to sew discord on America and 461 00:24:53,480 --> 00:24:56,440 Speaker 2: among Americans, and so we're going to allow anybody to 462 00:24:56,480 --> 00:25:00,399 Speaker 2: say what they want politically on our app. Okay, we 463 00:25:00,400 --> 00:25:04,000 Speaker 2: can acknowledge the bad intentions of TikTok while also saying 464 00:25:04,400 --> 00:25:07,840 Speaker 2: it's a good thing that TikTok is actually allowing conservatives 465 00:25:07,880 --> 00:25:10,359 Speaker 2: to say what they think. And I think for conservatives 466 00:25:10,680 --> 00:25:15,920 Speaker 2: to try to get rid of apps that are actually 467 00:25:15,960 --> 00:25:21,080 Speaker 2: platforming our ideas is in disservice to ourselves, right. I 468 00:25:21,119 --> 00:25:23,960 Speaker 2: think our own companies are much more hostile to us. 469 00:25:24,000 --> 00:25:26,080 Speaker 2: And I also think it's on American to be banning 470 00:25:26,119 --> 00:25:28,240 Speaker 2: apps China bands apps. I don't think we need a 471 00:25:28,280 --> 00:25:30,200 Speaker 2: big I don't think we need to be banning apps. 472 00:25:30,400 --> 00:25:32,040 Speaker 2: I really think that that's communist behavior. 473 00:25:32,160 --> 00:25:34,520 Speaker 1: You could argue about the fact that you know, byte 474 00:25:34,600 --> 00:25:37,240 Speaker 1: Edance is obviously based out of Beijing, so it's slightly 475 00:25:37,280 --> 00:25:39,679 Speaker 1: different just in the sense of obviously they can access 476 00:25:39,720 --> 00:25:41,359 Speaker 1: all of our data in a way that you know 477 00:25:41,400 --> 00:25:43,600 Speaker 1: they can't with some of these other social media companies, 478 00:25:43,640 --> 00:25:45,720 Speaker 1: but you know, fair point in terms of them not 479 00:25:45,840 --> 00:25:49,080 Speaker 1: censoring conservatives as much. Let's take a quick commercial break. 480 00:25:49,200 --> 00:25:53,639 Speaker 1: More as a Vita Duffy on the other side, you 481 00:25:53,680 --> 00:25:55,720 Speaker 1: had mentioned the issue of abortion. Why do you think 482 00:25:55,760 --> 00:25:58,399 Speaker 1: so many young people are driven by that issue? 483 00:25:58,520 --> 00:26:00,399 Speaker 2: I think that it's not just young people people. I 484 00:26:00,400 --> 00:26:03,040 Speaker 2: think our whole country is driven by that issue. I 485 00:26:03,680 --> 00:26:05,879 Speaker 2: really believe. I think it's been the number one issue 486 00:26:05,880 --> 00:26:11,000 Speaker 2: and divider in America for decades now, and I think 487 00:26:11,080 --> 00:26:15,959 Speaker 2: it's it's been a way for Democrats to really animate 488 00:26:16,000 --> 00:26:21,480 Speaker 2: people and for Republicans to really animate people. For gen zers, 489 00:26:20,960 --> 00:26:23,760 Speaker 2: I know that there it might seem like they have 490 00:26:23,840 --> 00:26:27,000 Speaker 2: there's a lot of loud voices, right, they're super you know, 491 00:26:27,160 --> 00:26:29,880 Speaker 2: pro choice, and I think probably the majority of there 492 00:26:29,960 --> 00:26:33,040 Speaker 2: is the majority of them are pro choice, but there 493 00:26:33,119 --> 00:26:37,160 Speaker 2: is a growing number of pro lifers and even left 494 00:26:37,200 --> 00:26:41,200 Speaker 2: wing pro lifers, because the science stands in the way 495 00:26:41,720 --> 00:26:45,560 Speaker 2: of radical pro abortion ideology. You can see ultrasounds, you 496 00:26:45,600 --> 00:26:47,960 Speaker 2: know there's a heartbeat, you know they have pain receptors, 497 00:26:48,000 --> 00:26:51,840 Speaker 2: like there are so many things that we're faced with, 498 00:26:52,160 --> 00:26:54,840 Speaker 2: especially if you're faced with right an ultrasound where you 499 00:26:54,880 --> 00:26:58,240 Speaker 2: actually see your child before you have to have an abortion. Right, 500 00:26:58,560 --> 00:27:03,720 Speaker 2: these are things that have really been changing the whole debate. 501 00:27:04,680 --> 00:27:08,520 Speaker 2: When when there were pro choicers during the time of 502 00:27:08,800 --> 00:27:11,600 Speaker 2: Roe v. Wade, they didn't they didn't really know you 503 00:27:11,600 --> 00:27:16,440 Speaker 2: couldn't really see your baby's fingers and toes on a screen. 504 00:27:17,480 --> 00:27:20,400 Speaker 2: Now you can I can get these really amazing three 505 00:27:20,480 --> 00:27:25,159 Speaker 2: D pictures that are are just incredible. And so I 506 00:27:25,200 --> 00:27:29,359 Speaker 2: think there's a lot of disillusion from conservatives among like 507 00:27:29,400 --> 00:27:31,639 Speaker 2: the young people are super pro choice. I wouldn't be 508 00:27:31,720 --> 00:27:33,800 Speaker 2: as I'm not as freaked out as they are. I 509 00:27:33,840 --> 00:27:35,760 Speaker 2: think that there's actually a lot of hope just because 510 00:27:35,760 --> 00:27:38,560 Speaker 2: of how amazing science has evolved. 511 00:27:38,880 --> 00:27:42,399 Speaker 1: Well, I certainly hope. So because you know, abortion is murder, 512 00:27:42,640 --> 00:27:44,960 Speaker 1: I believe you. You know, you share that idea as well, 513 00:27:45,240 --> 00:27:48,520 Speaker 1: that mentality. You know, So Justin Bieber and Haley Bieber, 514 00:27:48,640 --> 00:27:50,800 Speaker 1: Selena Gomez, we've got to talk about this. You know, 515 00:27:50,840 --> 00:27:53,399 Speaker 1: you wrote a column that Justin Bieber is to blame 516 00:27:53,480 --> 00:27:56,000 Speaker 1: obviously for those who don't pay attention to the pop 517 00:27:56,080 --> 00:27:59,439 Speaker 1: culture stuff I do, because you know what, sometimes the 518 00:27:59,440 --> 00:28:02,600 Speaker 1: news is so depressing you just need escapism, a break 519 00:28:02,640 --> 00:28:05,880 Speaker 1: from everything that's going on. But it's basically, you know, 520 00:28:05,920 --> 00:28:09,159 Speaker 1: Selena Gomez used to date Justin Bieber. Hailey Bieber is 521 00:28:09,160 --> 00:28:12,639 Speaker 1: now married to Justin and there's this ongoing, you know, 522 00:28:12,720 --> 00:28:16,640 Speaker 1: sort of online stuff that they're at odds. Haley and Selena, 523 00:28:16,760 --> 00:28:19,879 Speaker 1: you know, talk about why Justin is actually to blame 524 00:28:20,400 --> 00:28:22,800 Speaker 1: in the drama, not Selena or Haley. 525 00:28:23,080 --> 00:28:26,439 Speaker 2: The Selena Hailey drama has been going on for a 526 00:28:26,440 --> 00:28:29,680 Speaker 2: really long time. They dated Justin Bieber on it off 527 00:28:30,720 --> 00:28:33,119 Speaker 2: and so then Haley actually ended up with Justin and 528 00:28:33,160 --> 00:28:36,480 Speaker 2: now they're married. But the Selena fans are still really 529 00:28:36,560 --> 00:28:41,640 Speaker 2: upset and think that Haley stole Justin from Selena. Really 530 00:28:41,680 --> 00:28:44,360 Speaker 2: kind of bizarre fad behavior, to be honest, kind of 531 00:28:44,440 --> 00:28:45,880 Speaker 2: creepy fan behavior. 532 00:28:45,560 --> 00:28:48,480 Speaker 1: And like booling too, Like they're like constantly trying to 533 00:28:48,520 --> 00:28:51,800 Speaker 1: bully Haley. All right, so go ahead, No, you're totally right. 534 00:28:52,160 --> 00:28:54,800 Speaker 2: So they're constantly trying to bully Haley. There's a video 535 00:28:54,840 --> 00:28:57,400 Speaker 2: where they say that Haley was making fun of Selena. 536 00:28:57,440 --> 00:28:59,200 Speaker 2: There's another one where people say Selena was making fun 537 00:28:59,240 --> 00:29:04,240 Speaker 2: of Haley. The point is people extrapolated from one of 538 00:29:04,280 --> 00:29:10,920 Speaker 2: these videos and just when after Hailey for months and months, 539 00:29:10,960 --> 00:29:13,080 Speaker 2: literally it was like two and a half months where 540 00:29:13,120 --> 00:29:20,440 Speaker 2: it was like just constant hatred, attacking, comparing her to Putin, 541 00:29:20,680 --> 00:29:23,280 Speaker 2: like saying she looks like Putin, saying she looks like 542 00:29:23,360 --> 00:29:27,000 Speaker 2: an ear, saying she looks horrible, and that she's a 543 00:29:27,120 --> 00:29:30,800 Speaker 2: boyfriend stealer and all of this craziness. And at the 544 00:29:30,840 --> 00:29:33,959 Speaker 2: heart of this issue is really not whether Haley was 545 00:29:34,160 --> 00:29:36,440 Speaker 2: mean to Selena or Selena was mean to Haley. What 546 00:29:36,520 --> 00:29:39,640 Speaker 2: it is is who deserves Justin. That's what the fans 547 00:29:39,640 --> 00:29:42,239 Speaker 2: are really arguing over, is that. And that's what they 548 00:29:42,280 --> 00:29:45,880 Speaker 2: were saying, is that Justin does not actually support Haley 549 00:29:46,240 --> 00:29:48,400 Speaker 2: because he had been silent through all this. They're saying 550 00:29:48,560 --> 00:29:51,280 Speaker 2: Justin is still in love with Selena. And what Justin 551 00:29:51,320 --> 00:29:55,320 Speaker 2: should have done when things escalated to this level is 552 00:29:55,360 --> 00:29:57,400 Speaker 2: he should have stood up for his wife. He should 553 00:29:57,400 --> 00:30:00,960 Speaker 2: have said, you know what, Hailey Bieber is my wife, 554 00:30:01,000 --> 00:30:03,000 Speaker 2: I'm in love with her. I'm not in love with 555 00:30:03,040 --> 00:30:07,520 Speaker 2: my ex girlfriend. Everybody back off. But he didn't do that. 556 00:30:07,680 --> 00:30:11,840 Speaker 2: He stayed completely silent while his wife was being torn 557 00:30:11,920 --> 00:30:16,080 Speaker 2: to shreds by these horrendous Selena fans. Meanwhile, Selena is 558 00:30:16,120 --> 00:30:21,560 Speaker 2: actually encouraging her fans to attack Hailey. Now she said stop, 559 00:30:21,600 --> 00:30:24,200 Speaker 2: but at a time, at one point she was doing that. 560 00:30:24,280 --> 00:30:26,720 Speaker 2: And I just think the real villain, like I said 561 00:30:26,760 --> 00:30:30,400 Speaker 2: in my article, is it's not Haley or Selena or 562 00:30:30,440 --> 00:30:32,760 Speaker 2: all of this drama. It's really Justin because he should 563 00:30:32,760 --> 00:30:34,360 Speaker 2: have stood up for his wife and put an end 564 00:30:34,400 --> 00:30:35,640 Speaker 2: to all of this a long time ago. 565 00:30:36,000 --> 00:30:41,040 Speaker 1: Yeah, man up, Justin Bieber, if you're listening, be a manta. 566 00:30:41,160 --> 00:30:44,000 Speaker 1: Is there anything else you'd like to exactly Vida, Is 567 00:30:44,000 --> 00:30:45,920 Speaker 1: there anything else you'd like to leave us with before 568 00:30:45,920 --> 00:30:46,240 Speaker 1: we go? 569 00:30:46,480 --> 00:30:48,960 Speaker 2: I think gen Z gets a bad rap. I think 570 00:30:48,800 --> 00:30:51,160 Speaker 2: we're talking. We talked a lot about gen Z issues 571 00:30:51,160 --> 00:30:55,240 Speaker 2: and voting rights and things like that, and there's a 572 00:30:55,280 --> 00:30:58,600 Speaker 2: lot of really good things about my generation. They are 573 00:30:58,680 --> 00:31:00,920 Speaker 2: super entrepreneurial. I don't know if you know that, but 574 00:31:00,960 --> 00:31:05,520 Speaker 2: there's so many studies that show, like over I think 575 00:31:05,560 --> 00:31:07,720 Speaker 2: it's like sixty or seventy percent want to start a 576 00:31:07,720 --> 00:31:09,800 Speaker 2: small business. They don't want to work for someone which 577 00:31:10,120 --> 00:31:12,440 Speaker 2: you know, can play what itcause. I think that's a 578 00:31:12,440 --> 00:31:15,880 Speaker 2: really good thing to have people that are really are 579 00:31:16,000 --> 00:31:19,800 Speaker 2: motivated to create and to be innovative. I think that's 580 00:31:19,840 --> 00:31:23,360 Speaker 2: a wonderful thing. I also think, like I said, I 581 00:31:23,360 --> 00:31:25,440 Speaker 2: think science is on our side when it comes to abortion. 582 00:31:25,520 --> 00:31:27,280 Speaker 2: I think a lot of young people are pro life, 583 00:31:27,320 --> 00:31:29,880 Speaker 2: and I think even more will be pro life as 584 00:31:29,920 --> 00:31:34,080 Speaker 2: they get older. And I also think that part of 585 00:31:34,120 --> 00:31:36,600 Speaker 2: the failures that we're seeing with this generation, it can 586 00:31:36,640 --> 00:31:38,560 Speaker 2: be easy to blame them for everything and say, oh, 587 00:31:38,560 --> 00:31:41,080 Speaker 2: they're so dumb and they have these low attention spans 588 00:31:41,080 --> 00:31:44,360 Speaker 2: and you know they're all indoctrinated. Well, the reason they're 589 00:31:44,360 --> 00:31:48,959 Speaker 2: indoctrinated is because we have indoctrination machines in our school system. 590 00:31:49,240 --> 00:31:51,440 Speaker 2: And that's not the fault of kids, that's the fault 591 00:31:51,520 --> 00:31:58,200 Speaker 2: of adults who have allowed universities to turn out horrible 592 00:31:58,240 --> 00:32:02,880 Speaker 2: teachers from these teachers' colleges right, and degradate our education system. 593 00:32:02,960 --> 00:32:07,640 Speaker 2: So it's not based in God, but it's instead completely irreligious. 594 00:32:08,680 --> 00:32:11,600 Speaker 2: And there are so many things that are the cause 595 00:32:11,800 --> 00:32:14,520 Speaker 2: of gen Z and the issues that they're having and 596 00:32:14,560 --> 00:32:17,960 Speaker 2: the depression that they're facing. COVID being one, right, putting 597 00:32:17,960 --> 00:32:20,920 Speaker 2: somebody in lockdown for two years so they can't socialize, 598 00:32:21,080 --> 00:32:24,560 Speaker 2: that takes a toll. So I'd ask a lot of 599 00:32:24,560 --> 00:32:26,640 Speaker 2: people to also look inward and to think about how 600 00:32:26,640 --> 00:32:28,920 Speaker 2: can we really message them and how can we fix 601 00:32:29,000 --> 00:32:31,560 Speaker 2: the problems that they're facing. Because they didn't just they 602 00:32:31,560 --> 00:32:33,479 Speaker 2: didn't just pop out of the womb a bunch of 603 00:32:33,560 --> 00:32:36,280 Speaker 2: crazy communist leftists, right, It happened for a reason. I 604 00:32:36,280 --> 00:32:38,400 Speaker 2: think adults need to take some responsibility there too. 605 00:32:38,520 --> 00:32:40,520 Speaker 1: Well, you know, as millennial as we can't blame ourselves, 606 00:32:40,560 --> 00:32:44,120 Speaker 1: so we have to blame you guys. You know right right, 607 00:32:44,200 --> 00:32:45,880 Speaker 1: that's the way it works. In Vita. You'll do the 608 00:32:45,920 --> 00:32:49,200 Speaker 1: same to the generations below you. But you give me 609 00:32:49,320 --> 00:32:51,960 Speaker 1: hope of Vida. You do great work. Everybody, go check 610 00:32:51,960 --> 00:32:54,480 Speaker 1: out a Vida's work on the Federalists, Go follow her 611 00:32:54,520 --> 00:32:56,120 Speaker 1: on Twitter. What's your Twitter handle again? 612 00:32:56,600 --> 00:32:58,480 Speaker 2: It's a Vita Duffy underscore one. 613 00:32:58,800 --> 00:33:01,200 Speaker 1: All right, well everyone go check a Vida's workout. You 614 00:33:01,240 --> 00:33:03,040 Speaker 1: give me hope. I appreciate you taking the time to 615 00:33:03,120 --> 00:33:03,800 Speaker 1: join the show. 616 00:33:03,960 --> 00:33:04,880 Speaker 2: Thank you for having me. 617 00:33:10,240 --> 00:33:12,840 Speaker 1: That was a Vita Duffy Alfonso. Appreciate her taking the 618 00:33:12,880 --> 00:33:15,680 Speaker 1: time to join the show bring us a little insight 619 00:33:15,720 --> 00:33:19,320 Speaker 1: into what seems like a crazy generation gen Z. Appreciate 620 00:33:19,360 --> 00:33:21,840 Speaker 1: you guys at home for listening every Monday and Thursday, 621 00:33:21,840 --> 00:33:23,600 Speaker 1: but you can listen throughout the week. Please leave us 622 00:33:23,600 --> 00:33:26,360 Speaker 1: a review on Apple Podcast, give us a rating. Love 623 00:33:26,400 --> 00:33:28,600 Speaker 1: reading those. I want to thank John Cassio, my producer, 624 00:33:28,680 --> 00:33:30,880 Speaker 1: for putting the show together. Until next time,