1 00:00:11,657 --> 00:00:14,937 Speaker 1: You're listening to the Buck Sexton Show podcast, make sure 2 00:00:14,937 --> 00:00:17,977 Speaker 1: you subscribe to the podcast on the iHeartRadio app or 3 00:00:17,977 --> 00:00:21,377 Speaker 1: wherever you get your podcasts. Hey, team, this is the 4 00:00:21,417 --> 00:00:24,817 Speaker 1: Buck Sexton Show. And on this episode we have Amber 5 00:00:25,337 --> 00:00:29,457 Speaker 1: Athy with us now. She is the Washington editor of 6 00:00:29,497 --> 00:00:34,177 Speaker 1: the Spectator. She's a writer, columnist, author. In fact, she's 7 00:00:34,217 --> 00:00:38,697 Speaker 1: got a book that is just on the new shelves 8 00:00:38,737 --> 00:00:40,337 Speaker 1: out there, I guess on the shelves and it's a 9 00:00:40,377 --> 00:00:44,017 Speaker 1: new book on them called Snowflakes Revolt. We're going to 10 00:00:44,097 --> 00:00:47,097 Speaker 1: talk to Amber about that and some other important stuff 11 00:00:47,137 --> 00:00:48,697 Speaker 1: going on now, and we're going to see again, how 12 00:00:48,697 --> 00:00:51,777 Speaker 1: are you doing. I'm doing great. Thank you so much 13 00:00:51,777 --> 00:00:54,457 Speaker 1: for having me on the program. Buck. Let's talk about 14 00:00:54,457 --> 00:00:56,937 Speaker 1: the snowflake, shall we, because we don't hear that term 15 00:00:56,937 --> 00:00:59,737 Speaker 1: a lot anymore, not as much as we used to. 16 00:01:00,377 --> 00:01:06,737 Speaker 1: And then we saw the Stanford Law School, the antics, 17 00:01:06,897 --> 00:01:12,097 Speaker 1: the lunacy, the acting, a room full of spoiled children, 18 00:01:12,377 --> 00:01:16,577 Speaker 1: but shouting a lot of curses at the federal judge, 19 00:01:16,657 --> 00:01:19,497 Speaker 1: Judge Duncan. And I think snowflakes maybe is a thing 20 00:01:19,537 --> 00:01:21,217 Speaker 1: we have to bring back now, because how else do 21 00:01:21,257 --> 00:01:25,737 Speaker 1: you describe law students who shout down a federal judge 22 00:01:25,777 --> 00:01:30,577 Speaker 1: who has been invited to their university to speak right. 23 00:01:31,537 --> 00:01:34,217 Speaker 1: It's a term that's kind of considered ghost now, but 24 00:01:34,617 --> 00:01:37,377 Speaker 1: I'm almost using it tongue in cheek in the book's title, 25 00:01:37,457 --> 00:01:42,137 Speaker 1: because the whole premise of this book is that conservatives 26 00:01:42,177 --> 00:01:44,417 Speaker 1: really got it wrong, and a lot of our commentary 27 00:01:44,457 --> 00:01:47,737 Speaker 1: about what would happen to these crazy campus activists, a 28 00:01:47,777 --> 00:01:50,057 Speaker 1: lot of us kind of thought that they would get 29 00:01:50,057 --> 00:01:52,537 Speaker 1: out into the real world and they would melt so 30 00:01:52,577 --> 00:01:54,657 Speaker 1: to speak right. The real world would hit them in 31 00:01:54,697 --> 00:01:57,697 Speaker 1: the face, they wouldn't get safe spaces and trigger warnings 32 00:01:57,697 --> 00:02:01,297 Speaker 1: from their employers, and they would eventually just have to 33 00:02:01,377 --> 00:02:03,977 Speaker 1: adapt or die. But instead what happened is that they 34 00:02:03,977 --> 00:02:07,617 Speaker 1: actually brought their politics with them off campus and are 35 00:02:07,737 --> 00:02:09,777 Speaker 1: using a lot of the same tactics that we saw 36 00:02:09,817 --> 00:02:14,057 Speaker 1: at Stanford University just recently with this speech from the 37 00:02:14,137 --> 00:02:18,737 Speaker 1: judge that you mentioned, where they basically orchestrate mobs, they 38 00:02:18,777 --> 00:02:22,257 Speaker 1: have online cancel campaigns, they use social media to shame 39 00:02:22,297 --> 00:02:25,577 Speaker 1: their employers, and it's all done with the intent of 40 00:02:25,657 --> 00:02:29,337 Speaker 1: trying to push every major American institution further to the 41 00:02:29,457 --> 00:02:34,737 Speaker 1: left and to have the progressive orthodoxy that they're really 42 00:02:34,817 --> 00:02:40,217 Speaker 1: camering into people and silencing descent. They want that to 43 00:02:40,257 --> 00:02:44,057 Speaker 1: be the way of every single major institution, and they 44 00:02:44,057 --> 00:02:47,897 Speaker 1: will do anything to do it. So do you think 45 00:02:47,937 --> 00:02:53,217 Speaker 1: that given what we've seen with some of these failures, 46 00:02:53,217 --> 00:03:00,977 Speaker 1: whether it's of banking, or of FAA regulation or you 47 00:03:01,057 --> 00:03:02,977 Speaker 1: name it, they're all these areas. Now people are starting 48 00:03:03,017 --> 00:03:07,137 Speaker 1: to say, hold on, if we're pushing people forward based 49 00:03:07,177 --> 00:03:11,697 Speaker 1: on diversity and inclusion instead of merit, there will be 50 00:03:12,577 --> 00:03:15,737 Speaker 1: problems that come from this. I think the thought process 51 00:03:15,857 --> 00:03:20,017 Speaker 1: is that the woke or the snowflakes in our discussion 52 00:03:20,097 --> 00:03:22,337 Speaker 1: here are supposed to say, you know what, you guys 53 00:03:22,377 --> 00:03:25,537 Speaker 1: are right, we won't do that anymore because the bad 54 00:03:25,617 --> 00:03:29,217 Speaker 1: things or things could even happen that are bad as 55 00:03:29,257 --> 00:03:32,777 Speaker 1: a result of this, you know, planes crashing, trains, derailing 56 00:03:34,457 --> 00:03:37,857 Speaker 1: people who become lawyers who have not even the faintest 57 00:03:37,897 --> 00:03:40,017 Speaker 1: idea of what the constitution is or supposed to do. 58 00:03:41,057 --> 00:03:44,977 Speaker 1: But I would wonder what about the position that they 59 00:03:45,017 --> 00:03:47,897 Speaker 1: might take that's just this is the cost, like this 60 00:03:47,977 --> 00:03:50,137 Speaker 1: is the cost of social justice, because because I see 61 00:03:50,137 --> 00:03:52,857 Speaker 1: this on the criminal justice front all the time, that 62 00:03:52,937 --> 00:03:56,937 Speaker 1: there's a belief that the residents, let's say, of San Francisco, 63 00:03:57,497 --> 00:03:59,937 Speaker 1: or even the residents of New York City who are 64 00:04:00,057 --> 00:04:03,257 Speaker 1: ninety percent plus Democrat, They'll see the bad policies and 65 00:04:03,257 --> 00:04:06,377 Speaker 1: they'll say, oh, man, we shouldn't have done like this 66 00:04:06,417 --> 00:04:09,377 Speaker 1: is a bad idea. Well, that assumes, though, that they 67 00:04:09,657 --> 00:04:12,337 Speaker 1: are going to place their safety and the safety of 68 00:04:12,337 --> 00:04:15,897 Speaker 1: their city more importantly not necessarily, their safety above their ideology. 69 00:04:15,897 --> 00:04:17,857 Speaker 1: And I actually don't think they'll do that. I think 70 00:04:17,857 --> 00:04:19,297 Speaker 1: that a lot of them just view this is, Yeah, 71 00:04:19,337 --> 00:04:23,457 Speaker 1: if we destroy a company with our wokeness, then fine, 72 00:04:24,137 --> 00:04:27,537 Speaker 1: that's the price we pay. Yeah, I think that's right. 73 00:04:27,577 --> 00:04:31,857 Speaker 1: I don't think that these individuals really have any sort 74 00:04:31,857 --> 00:04:37,937 Speaker 1: of logical cause and effect type of conversation happening with themselves. 75 00:04:38,017 --> 00:04:42,537 Speaker 1: I mean, everything goes back to racism or sexism for them. 76 00:04:42,577 --> 00:04:45,857 Speaker 1: I mean, if, for example, if you look at the 77 00:04:46,457 --> 00:04:50,017 Speaker 1: bank crash recently, where they were apparently spending a lot 78 00:04:50,057 --> 00:04:53,537 Speaker 1: of time trying to incorporate diversity, equity, and inclusion instead 79 00:04:53,537 --> 00:04:55,817 Speaker 1: of having people who would I don't know, maybe see 80 00:04:55,857 --> 00:04:58,497 Speaker 1: that the FED was going to increase interest rates over 81 00:04:58,537 --> 00:05:01,817 Speaker 1: the past couple of years. The response to that from 82 00:05:01,857 --> 00:05:04,457 Speaker 1: woke activists wouldn't be this was our fault because they 83 00:05:04,457 --> 00:05:06,657 Speaker 1: were distracted. It would be something along the lines of, 84 00:05:07,017 --> 00:05:10,617 Speaker 1: well they weren't doing enough di or the problem is 85 00:05:10,657 --> 00:05:14,057 Speaker 1: that the company was just too fundamentally racist and even 86 00:05:14,177 --> 00:05:17,697 Speaker 1: our woke activism couldn't overcome it. It's the same thing 87 00:05:17,697 --> 00:05:20,537 Speaker 1: with the criminal justice question that you're talking about, right. 88 00:05:21,137 --> 00:05:27,217 Speaker 1: The problem isn't that individuals are committing crimes at higher 89 00:05:27,297 --> 00:05:31,617 Speaker 1: rates from certain communities. It's that police are too present 90 00:05:31,617 --> 00:05:34,897 Speaker 1: in those communities, and therefore they're just encountering those people 91 00:05:34,937 --> 00:05:37,697 Speaker 1: more often as another byproduct of racism. Like there's no 92 00:05:38,897 --> 00:05:41,777 Speaker 1: explanation for anything that happens in society for them that 93 00:05:41,857 --> 00:05:44,817 Speaker 1: doesn't go back to people's skin color, or identity or 94 00:05:45,057 --> 00:05:48,937 Speaker 1: minority status. So I don't think that they'll ever look 95 00:05:48,977 --> 00:05:53,697 Speaker 1: at any any result of their ridiculous woke activism and say, oh, yeah, 96 00:05:53,697 --> 00:05:55,657 Speaker 1: this was our fault. Maybe we should take a step 97 00:05:55,657 --> 00:06:00,177 Speaker 1: back and to your point about the lack of quality 98 00:06:00,337 --> 00:06:05,057 Speaker 1: of people who are being hired from the woke activist class, 99 00:06:05,137 --> 00:06:07,457 Speaker 1: I mean it starts back in college, of course, because 100 00:06:07,857 --> 00:06:10,777 Speaker 1: colleges have lowered admission standards and and people who are 101 00:06:10,857 --> 00:06:14,137 Speaker 1: less qualified, and that is obviously not good for the 102 00:06:14,177 --> 00:06:17,257 Speaker 1: person who gets into whatever college, because if you're talking 103 00:06:17,257 --> 00:06:19,897 Speaker 1: about law school, for example, then that person has a 104 00:06:19,937 --> 00:06:22,817 Speaker 1: lower likelihood of passing the bar. So you're actually hurting 105 00:06:22,817 --> 00:06:25,217 Speaker 1: the people you're purport to help. But let's say this 106 00:06:25,257 --> 00:06:29,017 Speaker 1: person does go on to graduate college and they get 107 00:06:29,097 --> 00:06:33,257 Speaker 1: hired through another affirmative action program at whatever company they 108 00:06:33,257 --> 00:06:35,937 Speaker 1: work for. Well, there's a study that was written about 109 00:06:35,937 --> 00:06:38,017 Speaker 1: in the Wall Street Journal last week that found a 110 00:06:38,057 --> 00:06:43,897 Speaker 1: lot of these rather underqualified candidates end up becoming specialist 111 00:06:44,137 --> 00:06:47,777 Speaker 1: in diversity, equity and inclusion initiatives. And why do they 112 00:06:47,817 --> 00:06:51,097 Speaker 1: do that? Well, it's because it makes them unfireable. So 113 00:06:51,177 --> 00:06:53,937 Speaker 1: even though they're really bad at their job, or they're untalented, 114 00:06:54,017 --> 00:07:00,337 Speaker 1: or they're underqualified, they have this special way of training 115 00:07:00,337 --> 00:07:04,657 Speaker 1: the workforce that if you criticize it or go against it, 116 00:07:04,697 --> 00:07:07,017 Speaker 1: you will be called a racist, and if you fire them, 117 00:07:07,057 --> 00:07:10,737 Speaker 1: you will probably be sued for creating a hostile work environment. 118 00:07:10,777 --> 00:07:14,137 Speaker 1: So this is a way that they've actually created institutional 119 00:07:14,217 --> 00:07:17,177 Speaker 1: protection for themselves. Well, also, it seems to me like 120 00:07:18,017 --> 00:07:22,377 Speaker 1: how could this this ties into the Stanford Dean of Diversity, 121 00:07:22,737 --> 00:07:26,257 Speaker 1: who you know, verbally berated in a room full of 122 00:07:26,297 --> 00:07:32,137 Speaker 1: people who are acting horribly obviously verbally berated. The Fifth 123 00:07:32,177 --> 00:07:37,577 Speaker 1: Circuit Judge Judge duncan that it's effectively also a job. 124 00:07:37,617 --> 00:07:43,497 Speaker 1: That is, it is impossible to underperform really because the 125 00:07:43,537 --> 00:07:46,377 Speaker 1: whole point is to just do grievance politics all the time. So, 126 00:07:46,497 --> 00:07:48,937 Speaker 1: if you're a diversity activist or diversity educator, what are 127 00:07:48,937 --> 00:07:51,497 Speaker 1: you saying, we don't have enough diversity? There's too much 128 00:07:51,577 --> 00:07:55,937 Speaker 1: racism out there. So if there's not more diversity in 129 00:07:55,937 --> 00:07:58,097 Speaker 1: the university, it's not your fault because you're the one 130 00:07:58,097 --> 00:08:00,897 Speaker 1: who's saying we need more diversity, right, So you're always 131 00:08:01,137 --> 00:08:02,697 Speaker 1: it's like there's you know, they got a fever. The 132 00:08:02,697 --> 00:08:08,057 Speaker 1: oil prescription is, you know, is more cowbell, right, you 133 00:08:08,057 --> 00:08:09,937 Speaker 1: know they're saying that line from SNL. If you're a 134 00:08:10,097 --> 00:08:13,577 Speaker 1: university and inclusion educator, they've got a fever. The only 135 00:08:13,617 --> 00:08:17,097 Speaker 1: prescription is more diversity and inclusion. It doesn't it doesn't 136 00:08:17,097 --> 00:08:20,977 Speaker 1: make any difference. And so how can you even have jobs, Like, 137 00:08:20,977 --> 00:08:24,577 Speaker 1: how could you even have performance metrics? Yeah? I noticed 138 00:08:24,577 --> 00:08:27,457 Speaker 1: how they never have an actual metric for how much 139 00:08:27,497 --> 00:08:31,097 Speaker 1: diversity is considered enough diversity. They'll just say that such 140 00:08:31,097 --> 00:08:35,097 Speaker 1: and such group is underrepresented in this space. Well, when 141 00:08:35,097 --> 00:08:37,377 Speaker 1: I was at Georgetown University, I talk a lot about, 142 00:08:37,457 --> 00:08:39,537 Speaker 1: you know, my experience on campus. I was a pretty 143 00:08:39,537 --> 00:08:43,257 Speaker 1: outspoken conservative and kind of sol firsthand where all of 144 00:08:43,257 --> 00:08:48,537 Speaker 1: this was going. And there was this this programmatic response 145 00:08:48,657 --> 00:08:53,817 Speaker 1: from the Georgetown administration. Two concerns that the university had 146 00:08:53,897 --> 00:08:57,657 Speaker 1: previously one of the former presidents of the university had 147 00:08:57,697 --> 00:09:00,977 Speaker 1: previously owned slaves and sold them at some point. And 148 00:09:01,017 --> 00:09:04,377 Speaker 1: there's a very complicated story surrounding it where it's not 149 00:09:04,457 --> 00:09:08,457 Speaker 1: actually quite as bad as it sounds. But obviously that 150 00:09:08,617 --> 00:09:12,257 Speaker 1: didn't fly with the progressives on campus, so they demanded 151 00:09:12,337 --> 00:09:14,617 Speaker 1: all of these things from the university to make up 152 00:09:14,657 --> 00:09:19,297 Speaker 1: for this historical connection to slavery. One of the items 153 00:09:19,497 --> 00:09:25,177 Speaker 1: was that Georgetown needed to hire a They needed to 154 00:09:25,337 --> 00:09:31,857 Speaker 1: hire enough black professors such that they were paying salaries 155 00:09:31,937 --> 00:09:36,337 Speaker 1: to black professors that was equivalent to the modern day 156 00:09:37,257 --> 00:09:41,097 Speaker 1: monetary value of the sale of the slaves. Now, I 157 00:09:41,137 --> 00:09:43,977 Speaker 1: did a little bit of rough math, and basically they 158 00:09:44,017 --> 00:09:47,697 Speaker 1: wanted the university to pay close to trillions of dollars 159 00:09:48,817 --> 00:09:55,137 Speaker 1: in money to black professors, which is physically financially impossible 160 00:09:55,297 --> 00:09:58,617 Speaker 1: because no university has that amount of money. And also 161 00:09:58,697 --> 00:10:03,137 Speaker 1: Georgetown already actually had an overrepresentation of black professors when 162 00:10:03,177 --> 00:10:07,297 Speaker 1: you compared the percentage of black professors to the percentage 163 00:10:07,337 --> 00:10:11,417 Speaker 1: of black people in the larger American population. So again, 164 00:10:11,497 --> 00:10:14,737 Speaker 1: there's no logic that goes into these grievances. These are 165 00:10:14,977 --> 00:10:19,297 Speaker 1: simply used as a way of playing victim hood because 166 00:10:19,337 --> 00:10:22,537 Speaker 1: it gives a sense of power in modern society and 167 00:10:22,777 --> 00:10:28,137 Speaker 1: also making themselves uncancellable. I want to ask you more 168 00:10:28,257 --> 00:10:32,577 Speaker 1: about Snowflake's Revolt, Amber Athies new book, which you should 169 00:10:32,577 --> 00:10:35,337 Speaker 1: all get a copy of when we come back here 170 00:10:35,377 --> 00:10:36,777 Speaker 1: in a second. Also want to ask you about the 171 00:10:36,817 --> 00:10:40,897 Speaker 1: mental health crisis of young women in America. That this 172 00:10:40,977 --> 00:10:43,977 Speaker 1: goes beyond the political divide. Everyone who looks at the 173 00:10:44,017 --> 00:10:48,897 Speaker 1: numbers understands there is a particularly for adolescent women of females, 174 00:10:49,457 --> 00:10:53,657 Speaker 1: young girls, teenagers, there is a mental health crisis that 175 00:10:53,737 --> 00:10:56,577 Speaker 1: when you hear the numbers of consideration of self harm 176 00:10:56,577 --> 00:10:59,497 Speaker 1: and other things, is shocking. Something awful is going on 177 00:10:59,537 --> 00:11:01,177 Speaker 1: in the country. We got to address it. We'll get 178 00:11:01,217 --> 00:11:03,857 Speaker 1: back to that in a moment. Well, for everybody out there, 179 00:11:03,897 --> 00:11:05,537 Speaker 1: how are your energy levels these days? Are you as 180 00:11:05,577 --> 00:11:09,057 Speaker 1: fitting energetic as you know? I don't know the people 181 00:11:09,177 --> 00:11:11,897 Speaker 1: that you see run around doing stuff all day long 182 00:11:11,937 --> 00:11:15,297 Speaker 1: and getting after it. In life, you will benefit from 183 00:11:15,337 --> 00:11:18,217 Speaker 1: all the goodness of Chalk. That's as easy as getting 184 00:11:18,257 --> 00:11:20,737 Speaker 1: dialed into the right supplements that have been helping so 185 00:11:20,777 --> 00:11:22,977 Speaker 1: many men and women in this audience. Look. 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But when you try 203 00:12:10,377 --> 00:12:11,537 Speaker 1: this stuff and you love it, you're not gonna want 204 00:12:11,537 --> 00:12:14,377 Speaker 1: to cancer. You're gonna want to get more. By the way, ever, 205 00:12:14,377 --> 00:12:15,417 Speaker 1: are you? What are you? What are you put in 206 00:12:15,457 --> 00:12:18,777 Speaker 1: your coffee? What's your goat? Do you drink coffee? Your 207 00:12:18,817 --> 00:12:21,657 Speaker 1: coffee drinker? I do? I do, and I put a 208 00:12:21,737 --> 00:12:24,817 Speaker 1: lot of really awful things in my coffee. I put splenda, 209 00:12:25,097 --> 00:12:28,057 Speaker 1: and I will say I use dairy creamer, so I 210 00:12:28,057 --> 00:12:30,537 Speaker 1: don't use the non dairy stuff. But it's not a 211 00:12:30,537 --> 00:12:36,937 Speaker 1: great coffee routine. I'll admit creamer and splenda. Huh okay, interesting. Yeah. 212 00:12:36,977 --> 00:12:39,897 Speaker 1: I'm thinking about making the switch from from moo cow 213 00:12:40,017 --> 00:12:43,217 Speaker 1: milk to almond milk based on what I'm told is, 214 00:12:43,337 --> 00:12:47,817 Speaker 1: you know, gut inflammation and health reasons. But I feel 215 00:12:47,817 --> 00:12:50,457 Speaker 1: like I feel like this just keeps changing all the 216 00:12:50,497 --> 00:12:52,577 Speaker 1: time now, like everyone's always just like, oh, well this 217 00:12:52,697 --> 00:12:54,297 Speaker 1: is you know. I started to get all excited. I 218 00:12:54,337 --> 00:12:56,737 Speaker 1: was like, what about oat milk? And now we're told 219 00:12:56,737 --> 00:12:58,537 Speaker 1: that oat milk has a lot of oil and high 220 00:12:58,537 --> 00:13:00,817 Speaker 1: fat content. I can't I can't keep it all. I 221 00:13:00,857 --> 00:13:03,097 Speaker 1: can't keep all, I probably should just drink my coffee black, 222 00:13:03,897 --> 00:13:05,937 Speaker 1: which because really what do I want? I want that 223 00:13:06,057 --> 00:13:09,097 Speaker 1: coffee a roma. That's a faish choice. Yeah, I should 224 00:13:09,097 --> 00:13:12,017 Speaker 1: probably shrink off, but it's it stains your teeth. So see, 225 00:13:12,057 --> 00:13:14,577 Speaker 1: there's no nothing that gets it all done out there. 226 00:13:14,617 --> 00:13:18,137 Speaker 1: So how do we beat the the woke mob? What 227 00:13:18,137 --> 00:13:20,057 Speaker 1: do we do? I mean, do you know, we see them, 228 00:13:20,097 --> 00:13:22,297 Speaker 1: We talk about how crazy they are, but it does 229 00:13:22,337 --> 00:13:26,817 Speaker 1: feel to me like we we noticed this when they 230 00:13:26,817 --> 00:13:30,857 Speaker 1: had already seized control of the most powerful companies all 231 00:13:30,857 --> 00:13:33,137 Speaker 1: of media, all well not all of media, but all 232 00:13:33,177 --> 00:13:37,177 Speaker 1: of social media, all of academia, obviously Hollywood for a 233 00:13:37,217 --> 00:13:42,017 Speaker 1: long time, the legal profession, increasingly law schools. So what 234 00:13:42,057 --> 00:13:45,737 Speaker 1: do we do? Yeah, I mean, the real problem is 235 00:13:45,777 --> 00:13:48,097 Speaker 1: you have to basically have an adult in the room 236 00:13:48,177 --> 00:13:53,097 Speaker 1: who has institutional power, who's willing to say, all right enough, 237 00:13:53,177 --> 00:13:55,857 Speaker 1: we're not going to appease you anymore. But because so 238 00:13:55,937 --> 00:13:59,417 Speaker 1: many of these institutions were liberal long before the progressives 239 00:13:59,417 --> 00:14:02,977 Speaker 1: came into play, you have people who are one sympathetic 240 00:14:03,097 --> 00:14:08,257 Speaker 1: to these young activists too, who are terrified of them 241 00:14:08,297 --> 00:14:11,457 Speaker 1: because they know how crazy they are, because they're ostensibly 242 00:14:11,497 --> 00:14:17,017 Speaker 1: on the same side, and three really don't understand that 243 00:14:17,097 --> 00:14:20,417 Speaker 1: these people don't really have power. I mean to boomers 244 00:14:20,457 --> 00:14:23,697 Speaker 1: who are in charge of companies or on boards or 245 00:14:23,737 --> 00:14:27,857 Speaker 1: who are editors in newsrooms, they think that ten tweets 246 00:14:28,057 --> 00:14:30,577 Speaker 1: is a major crisis, Like they think that is going 247 00:14:30,617 --> 00:14:33,097 Speaker 1: to bring down the company. I mean, they really do 248 00:14:33,177 --> 00:14:37,057 Speaker 1: believe that. So that's why these cancelation campaigns are so effective, 249 00:14:37,137 --> 00:14:39,897 Speaker 1: because it only takes a really local minority for these 250 00:14:39,897 --> 00:14:42,457 Speaker 1: people to go running scared. And then of course they're 251 00:14:42,497 --> 00:14:44,417 Speaker 1: afraid of being on the wrong side of the issue 252 00:14:44,457 --> 00:14:46,297 Speaker 1: as well, because they don't want to be called racist 253 00:14:46,417 --> 00:14:48,697 Speaker 1: or transphobic or whatever the word of the day is. 254 00:14:48,697 --> 00:14:50,697 Speaker 1: They really think that is the worst thing in the 255 00:14:50,737 --> 00:14:54,257 Speaker 1: world too. So until you get the right people in charge, 256 00:14:54,657 --> 00:14:57,017 Speaker 1: there's only so much that you can do. I mean, obviously, 257 00:14:57,097 --> 00:15:02,577 Speaker 1: creating alternative institutions is one of the ways that you 258 00:15:02,577 --> 00:15:04,857 Speaker 1: can kind of combat this, although it's not a perfect 259 00:15:04,857 --> 00:15:09,217 Speaker 1: way because conservatives haven't really figured out the best way 260 00:15:09,257 --> 00:15:13,817 Speaker 1: to encourage buycots for products that are good. They always 261 00:15:13,817 --> 00:15:16,297 Speaker 1: want to make everything really overtly political, which is not 262 00:15:16,337 --> 00:15:19,417 Speaker 1: always the answer either. But on the media question, there's 263 00:15:19,457 --> 00:15:22,417 Speaker 1: one simple thing that conservatives can do, and that's to 264 00:15:22,737 --> 00:15:27,257 Speaker 1: delegitimize the mainstream media by refusing them access. I see 265 00:15:27,297 --> 00:15:30,977 Speaker 1: over and over again that Republicans on Capitol Hill will 266 00:15:31,057 --> 00:15:33,537 Speaker 1: call up the New York Times or the Washington Post 267 00:15:33,577 --> 00:15:35,817 Speaker 1: and they give them their op eds and their scoops 268 00:15:35,817 --> 00:15:40,977 Speaker 1: and all their information, and inevitably, when they get for 269 00:15:41,217 --> 00:15:43,497 Speaker 1: coverage from one of these media outlets, they go running 270 00:15:43,497 --> 00:15:46,497 Speaker 1: to independent and conservative media begging them to clean up 271 00:15:46,497 --> 00:15:48,617 Speaker 1: the mess. Well, how about you just don't give them 272 00:15:48,657 --> 00:15:52,497 Speaker 1: information in the first place, because you're giving them power. 273 00:15:53,217 --> 00:15:56,617 Speaker 1: By giving them that access, you are telling their readers 274 00:15:56,817 --> 00:16:00,097 Speaker 1: and the rest of America that they are legitimate, that 275 00:16:00,217 --> 00:16:04,137 Speaker 1: they have the ability to share information with them that 276 00:16:04,177 --> 00:16:07,577 Speaker 1: they might not get elsewhere. So freeze them out right. 277 00:16:07,737 --> 00:16:11,137 Speaker 1: I mean, Florida Governor Rondo sam just does this really well. 278 00:16:11,177 --> 00:16:15,417 Speaker 1: His administration doesn't talk to these mainstream media outlets. They 279 00:16:15,417 --> 00:16:17,817 Speaker 1: don't talk to people who don't give them fair coverage, 280 00:16:18,257 --> 00:16:22,377 Speaker 1: and the result is that I think they're probably much 281 00:16:22,417 --> 00:16:25,417 Speaker 1: better off. For a one and two, Floridians don't have 282 00:16:25,457 --> 00:16:28,777 Speaker 1: to go to lying media in order to read anything 283 00:16:28,817 --> 00:16:32,057 Speaker 1: original about the governor or anything new that's happening in 284 00:16:32,097 --> 00:16:34,537 Speaker 1: their state. So I think that's a pretty good blueprint 285 00:16:34,617 --> 00:16:36,697 Speaker 1: for how the rest of the country can help take 286 00:16:36,777 --> 00:16:40,577 Speaker 1: the power away from organizations and media outlets that really 287 00:16:40,617 --> 00:16:45,177 Speaker 1: are going to the woke. I always was at firstly 288 00:16:45,217 --> 00:16:49,697 Speaker 1: surprised that Donald Trump continued to talk to particularly New 289 00:16:49,777 --> 00:16:52,017 Speaker 1: York Times but also in the Washington Post all throughout 290 00:16:52,017 --> 00:16:56,057 Speaker 1: his presidency. I mean, he would give more access to 291 00:16:56,537 --> 00:17:00,257 Speaker 1: New York Times reporter Maggie Haberman than almost anybody else. 292 00:17:00,297 --> 00:17:02,057 Speaker 1: I think if you look at the White House visitor logs, 293 00:17:02,057 --> 00:17:04,337 Speaker 1: I mean, there might have been a few conservatives who 294 00:17:04,337 --> 00:17:06,257 Speaker 1: would speak to him on the cell phone more or 295 00:17:06,257 --> 00:17:09,017 Speaker 1: had more direct contact with him that way, But Maggie 296 00:17:09,017 --> 00:17:12,177 Speaker 1: Haberman tically should have had her own her own room 297 00:17:12,177 --> 00:17:13,897 Speaker 1: in the White House to stay over so you can 298 00:17:13,937 --> 00:17:16,057 Speaker 1: continue the interviews the next day. Why was he doing that. 299 00:17:17,857 --> 00:17:20,577 Speaker 1: I think that Trump had this sort of nostalgia for 300 00:17:20,697 --> 00:17:25,457 Speaker 1: when he was really considered a revered celebrity in the 301 00:17:25,497 --> 00:17:29,177 Speaker 1: eyes of the mainstream media, and particularly being from New York. 302 00:17:29,377 --> 00:17:31,697 Speaker 1: You know, the New York Times did used to have 303 00:17:31,857 --> 00:17:34,977 Speaker 1: this level of prestige where people wanted to be mentioned 304 00:17:34,977 --> 00:17:37,897 Speaker 1: in it, they wanted to have favorable coverage in it. 305 00:17:38,217 --> 00:17:40,617 Speaker 1: And I think Trump still believes that he can get 306 00:17:40,657 --> 00:17:44,097 Speaker 1: that back. I think maybe he doesn't really grasp just 307 00:17:44,217 --> 00:17:48,417 Speaker 1: how rotted from the core these media outlets have become. 308 00:17:48,457 --> 00:17:50,817 Speaker 1: And it was a constant frustration of my time as 309 00:17:50,857 --> 00:17:53,977 Speaker 1: a White House correspondent during the Trump administration. I mean, 310 00:17:54,017 --> 00:17:57,337 Speaker 1: we would go in to the briefing room and you 311 00:17:57,337 --> 00:17:59,697 Speaker 1: would see the day after one of these media outlets, 312 00:17:59,737 --> 00:18:03,417 Speaker 1: CNN and whoever it was published, just an egregious piece 313 00:18:03,457 --> 00:18:07,737 Speaker 1: of fake news. For whatever reason, the communication staff would 314 00:18:07,737 --> 00:18:10,777 Speaker 1: call them back for some type of background, reefing away 315 00:18:10,817 --> 00:18:13,057 Speaker 1: from the rest of the press, and continue to give 316 00:18:13,097 --> 00:18:15,577 Speaker 1: them stories and scoops and access. And it was just 317 00:18:15,697 --> 00:18:18,457 Speaker 1: mind blowing, Like they have just done you so wrong. 318 00:18:18,537 --> 00:18:22,137 Speaker 1: They've treated you incredibly unfairly, They've lied about you, and 319 00:18:22,217 --> 00:18:24,897 Speaker 1: you rewarded them for it. How do you think that's 320 00:18:24,937 --> 00:18:28,297 Speaker 1: going to change their behavior. It's not. You're just incentivizing it. 321 00:18:29,217 --> 00:18:31,257 Speaker 1: I want to come back and ask you about the 322 00:18:31,257 --> 00:18:34,617 Speaker 1: mental health health crisis facing young women in America right now, 323 00:18:35,897 --> 00:18:37,497 Speaker 1: So we'll get to that. Amber in just a moment. 324 00:18:37,697 --> 00:18:41,337 Speaker 1: Check out Amber's book, Everybody's Snowflakes Revolt for the Team 325 00:18:41,377 --> 00:18:44,057 Speaker 1: Mobile subscribers out their heads Up there's a data breach 326 00:18:44,137 --> 00:18:46,897 Speaker 1: that exposed a sensitive personal information of thirty seven million 327 00:18:46,937 --> 00:18:49,737 Speaker 1: customers right after the New year. Cyber Hackers grab data 328 00:18:49,737 --> 00:18:52,977 Speaker 1: without notice. Could include customers names, emails, billing addresses, and 329 00:18:53,057 --> 00:18:56,777 Speaker 1: phone numbers they've exploited. 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If they see unusual 337 00:19:14,297 --> 00:19:16,897 Speaker 1: activity in your name and you're a LifeLock customer like 338 00:19:16,977 --> 00:19:19,057 Speaker 1: I've been for about six years now, you'll get an 339 00:19:19,097 --> 00:19:22,377 Speaker 1: alert that comes via taxs, cell phone, call, email, whatever 340 00:19:22,377 --> 00:19:24,897 Speaker 1: it takes to get you the information. It's important to 341 00:19:24,977 --> 00:19:27,897 Speaker 1: understand how cybercrime and identity theft are affecting our lives, 342 00:19:28,097 --> 00:19:29,977 Speaker 1: and if you do become a victim of identity theft, 343 00:19:30,017 --> 00:19:33,177 Speaker 1: a dedicated US based LifeLock restoration specialist will work with 344 00:19:33,217 --> 00:19:35,417 Speaker 1: you to fix it. No one can prevent all identity 345 00:19:35,457 --> 00:19:37,817 Speaker 1: theft or monitor all transactions at all businesses. But it's 346 00:19:37,857 --> 00:19:40,537 Speaker 1: easy to help protect yourself with LifeLock. I would light 347 00:19:40,617 --> 00:19:42,417 Speaker 1: on them for years, and you can too. Join now 348 00:19:42,457 --> 00:19:44,737 Speaker 1: save up a twenty five percent off your first year 349 00:19:45,017 --> 00:19:48,457 Speaker 1: with promo codebuck at LifeLock dot com. That's LifeLock dot 350 00:19:48,537 --> 00:19:52,257 Speaker 1: com promo code buck or call one eight hundred LifeLock. 351 00:19:52,577 --> 00:19:54,257 Speaker 1: Make sure you get a LifeLock dot com use promo 352 00:19:54,297 --> 00:19:58,337 Speaker 1: code buck for that discount. All right, Amber, The stats 353 00:19:58,377 --> 00:20:01,577 Speaker 1: are stunning. There's a mental health crisis for young women 354 00:20:01,617 --> 00:20:04,697 Speaker 1: in the country. Something like a third of them reportedly 355 00:20:04,737 --> 00:20:10,057 Speaker 1: have considered extreme self harm, perhaps even up to Sue 356 00:20:10,137 --> 00:20:12,137 Speaker 1: saw it in the last year, a third of young women. 357 00:20:12,137 --> 00:20:15,057 Speaker 1: I think the age rage was like fourteen to eighteen 358 00:20:15,177 --> 00:20:18,777 Speaker 1: something like that in the study that I saw. What 359 00:20:18,977 --> 00:20:23,617 Speaker 1: is going on? But why is this happening? There's so 360 00:20:23,657 --> 00:20:26,577 Speaker 1: many reasons. I mean, let's start with the obvious, which 361 00:20:26,617 --> 00:20:30,497 Speaker 1: is the pandemic, right. I mean, for two to three years, 362 00:20:30,537 --> 00:20:36,137 Speaker 1: these teen girls and boys too were only communicating with 363 00:20:36,177 --> 00:20:40,177 Speaker 1: their peers through social media and social media. I mean 364 00:20:40,177 --> 00:20:41,817 Speaker 1: that leads us right to the next problem, right, which 365 00:20:41,857 --> 00:20:46,617 Speaker 1: is social media. The studies on the harms of social media, 366 00:20:46,697 --> 00:20:50,617 Speaker 1: particularly to young girls. The statistics are egregious. I mean, 367 00:20:50,617 --> 00:20:54,857 Speaker 1: they're addictive. They can lead to body dysmorphia, they can 368 00:20:54,937 --> 00:20:58,137 Speaker 1: lead to depression because these girls are constantly seeing really 369 00:20:58,217 --> 00:21:02,097 Speaker 1: worked and distorted visions of what being a girl is 370 00:21:02,137 --> 00:21:05,857 Speaker 1: supposed to look like, of what of what guys like 371 00:21:05,937 --> 00:21:09,337 Speaker 1: to see in a woman, and it breaks their brains. 372 00:21:09,537 --> 00:21:12,737 Speaker 1: It makes them despise themselves. It's a it's a really 373 00:21:12,777 --> 00:21:17,057 Speaker 1: harmful thing for any young person to be on, and 374 00:21:17,137 --> 00:21:19,817 Speaker 1: for women already struggling with body image at a young age, 375 00:21:19,857 --> 00:21:24,137 Speaker 1: it's truly devastating. By the way, can I just just 376 00:21:24,217 --> 00:21:26,777 Speaker 1: give the statistics amberks, I wanted to pull this up 377 00:21:27,977 --> 00:21:31,177 Speaker 1: of female teenagers, so I guess that's thirteen to eighteen. 378 00:21:31,177 --> 00:21:34,497 Speaker 1: I think it's a forty to eighteen fifty seven discording 379 00:21:34,537 --> 00:21:39,137 Speaker 1: the CDC. Fifty seven percent said they are persistently sad. 380 00:21:40,257 --> 00:21:44,457 Speaker 1: Thirty percent said they have considered suicide nationwide, twenty four 381 00:21:44,537 --> 00:21:48,057 Speaker 1: percent have planned a suicide, and thirteen percent have attempted suicide. 382 00:21:48,097 --> 00:21:53,657 Speaker 1: I mean, those those are absolutely crisis level numbers. Sorry, continue, No, 383 00:21:53,777 --> 00:21:57,577 Speaker 1: it's one hundred percent correct, and we've talked for years. 384 00:21:57,657 --> 00:21:59,857 Speaker 1: I think conservatives at least. I talked for years about 385 00:22:00,297 --> 00:22:04,177 Speaker 1: the rather dire statistics about young men and young women 386 00:22:04,217 --> 00:22:07,697 Speaker 1: are very quickly catching up. And when you dive deeper 387 00:22:07,697 --> 00:22:10,977 Speaker 1: into this, what you quickly learn is that a liberal 388 00:22:11,297 --> 00:22:15,817 Speaker 1: young women in particular tend to have more severe mental illness, 389 00:22:15,897 --> 00:22:19,017 Speaker 1: and tend to have mental illness at higher rates. And 390 00:22:19,057 --> 00:22:21,657 Speaker 1: there's a lot of potential reasons for that. Just a 391 00:22:21,697 --> 00:22:26,297 Speaker 1: couple that I would point out are that one, feminism 392 00:22:26,417 --> 00:22:30,137 Speaker 1: has really taught women to suppress their natural desires and 393 00:22:30,337 --> 00:22:34,257 Speaker 1: their different biology, and they want young women to desire 394 00:22:34,337 --> 00:22:38,417 Speaker 1: to be like men. And when you have your internal self, 395 00:22:39,137 --> 00:22:43,137 Speaker 1: your natural self, telling you to do something, and you're 396 00:22:43,177 --> 00:22:47,577 Speaker 1: actively rejecting that and trying to behave publicly a different way, 397 00:22:48,297 --> 00:22:52,857 Speaker 1: whether that's engaging in hookup culture or desiring to climb 398 00:22:52,897 --> 00:22:56,097 Speaker 1: the career ladder over starting a family when you're young 399 00:22:56,177 --> 00:23:00,017 Speaker 1: and being in a committed relationship that is so damaging 400 00:23:00,057 --> 00:23:03,137 Speaker 1: to someone's ability to feel comfortable with themselves and to 401 00:23:03,257 --> 00:23:06,217 Speaker 1: feel happy and like they have purpose in life. And 402 00:23:06,257 --> 00:23:09,617 Speaker 1: then the second problem is that in liberal families you 403 00:23:09,657 --> 00:23:14,377 Speaker 1: see the really sick trend of parents basically passing on 404 00:23:14,417 --> 00:23:18,057 Speaker 1: their own neuroses to their kids whether it's the panic 405 00:23:18,137 --> 00:23:22,017 Speaker 1: over climate change or their insistence that if you are 406 00:23:22,057 --> 00:23:24,817 Speaker 1: struggling through puberty that you might be a different gender. 407 00:23:25,137 --> 00:23:28,937 Speaker 1: I mean, they really put these kids through a panic 408 00:23:29,017 --> 00:23:31,697 Speaker 1: about the state of the world. I mean, these kids 409 00:23:31,697 --> 00:23:35,057 Speaker 1: are often convinced that there are Nazis looking to kill 410 00:23:35,137 --> 00:23:38,137 Speaker 1: them lurking around every corner, that their rights could be 411 00:23:38,217 --> 00:23:41,777 Speaker 1: voted away at any given second, that democracy itself is 412 00:23:41,817 --> 00:23:44,697 Speaker 1: in danger. I mean, if you're someone who legitimately believes 413 00:23:44,697 --> 00:23:47,057 Speaker 1: that it's any wonder that you might want to go 414 00:23:47,137 --> 00:23:50,937 Speaker 1: to the doctor looking for an antidepressant, have you ever 415 00:23:51,737 --> 00:23:55,737 Speaker 1: met somebody that you think, truly and honestly was fearful 416 00:23:55,777 --> 00:23:59,057 Speaker 1: of climate change? Like I see people talking about it 417 00:23:59,097 --> 00:24:01,337 Speaker 1: in a way where they want everyone to think, but 418 00:24:01,457 --> 00:24:04,057 Speaker 1: do you have you ever had the personal experience of 419 00:24:04,097 --> 00:24:07,937 Speaker 1: talking to somebody Because I haven't. I've never to this 420 00:24:08,017 --> 00:24:10,897 Speaker 1: day found somebody who will to me and I bother 421 00:24:11,017 --> 00:24:13,217 Speaker 1: I wouldn't include like on a CNN hit or something, 422 00:24:13,257 --> 00:24:16,257 Speaker 1: because that's performative, right. I mean, just a person walking 423 00:24:16,257 --> 00:24:19,977 Speaker 1: around who was genuinely terrified of climate change. And yet 424 00:24:19,977 --> 00:24:21,697 Speaker 1: you see all these people that will say things like 425 00:24:21,737 --> 00:24:23,897 Speaker 1: I don't want to have kids because I don't want 426 00:24:23,897 --> 00:24:25,617 Speaker 1: to bring kids in the world because of our CEO 427 00:24:25,657 --> 00:24:28,977 Speaker 1: two emissions, and you know, we're overcrowded, which the opposite 428 00:24:29,057 --> 00:24:31,057 Speaker 1: is actually that we need more people. But that's a 429 00:24:31,057 --> 00:24:34,497 Speaker 1: whole other thing. Have you ever met somebody that really 430 00:24:34,577 --> 00:24:38,457 Speaker 1: that really believe that. I'm just curious. I've thankfully never 431 00:24:38,497 --> 00:24:41,177 Speaker 1: met someone like that, but I see them on social 432 00:24:41,177 --> 00:24:45,137 Speaker 1: media all the time, particularly on TikTok. And there's this new, 433 00:24:46,697 --> 00:24:49,777 Speaker 1: I guess, younger, hipper version of Greta Thundberg now. And 434 00:24:49,857 --> 00:24:52,977 Speaker 1: her name is Sophia Kiani, and she's been invited to 435 00:24:53,017 --> 00:24:55,817 Speaker 1: the United Nations, She's received a whole bunch of awards, 436 00:24:55,857 --> 00:25:00,537 Speaker 1: she has fellowships with various climate institutions, and she's a 437 00:25:00,857 --> 00:25:04,217 Speaker 1: I think like a freshman in college that is of 438 00:25:04,257 --> 00:25:08,777 Speaker 1: the belief. I mean, I think sincerely that our world 439 00:25:08,897 --> 00:25:11,057 Speaker 1: could disappear as we know it in the next five 440 00:25:11,097 --> 00:25:13,297 Speaker 1: to ten years because of climate change. And she's just 441 00:25:13,617 --> 00:25:17,657 Speaker 1: this beautiful, clearly bright young person. And it's so sad 442 00:25:17,697 --> 00:25:21,097 Speaker 1: to see that these kids get so wrapped up in 443 00:25:21,457 --> 00:25:24,777 Speaker 1: what is an obvious lie. I just think it's a 444 00:25:24,857 --> 00:25:31,897 Speaker 1: fascinating that adults, adults wouldn't listen to a college freshman, 445 00:25:32,577 --> 00:25:37,417 Speaker 1: and rightly so, by the way, about what the speed 446 00:25:37,417 --> 00:25:41,417 Speaker 1: limit should be in the neighborhood. Like, you know, generally speaking, 447 00:25:41,497 --> 00:25:44,257 Speaker 1: you're going to as as an adult, you're going to 448 00:25:44,457 --> 00:25:46,857 Speaker 1: discount the ideas. And certainly in the case of Greta Thunberg, 449 00:25:46,937 --> 00:25:49,857 Speaker 1: she was like six fifteen sixteen when she was started 450 00:25:49,897 --> 00:25:53,017 Speaker 1: sailing around and lecturing everybody about you know, how dare 451 00:25:53,017 --> 00:25:56,697 Speaker 1: you and all that stuff. Why do they listen to 452 00:25:56,737 --> 00:25:59,617 Speaker 1: somebody that they would on this issue, which is enormously 453 00:25:59,937 --> 00:26:03,617 Speaker 1: complicated as much as they're neurotics about it, but they 454 00:26:03,617 --> 00:26:05,577 Speaker 1: wouldn't listen to them on anything else. It just seems 455 00:26:05,617 --> 00:26:08,497 Speaker 1: to me like it's debasing. It's debasing for an adult 456 00:26:08,537 --> 00:26:10,977 Speaker 1: to be like, oh, let's let's work ship this child 457 00:26:11,377 --> 00:26:15,017 Speaker 1: who is going to lecture us all on climate issues. Well, 458 00:26:15,057 --> 00:26:17,537 Speaker 1: I think what they're doing is they're elevating children who 459 00:26:17,577 --> 00:26:20,857 Speaker 1: happen to agree with them, because the obvious response to 460 00:26:20,897 --> 00:26:23,777 Speaker 1: people who criticize them is, why are you going after 461 00:26:24,497 --> 00:26:26,537 Speaker 1: a kid? Why are you attacking a team? I mean 462 00:26:26,537 --> 00:26:28,377 Speaker 1: that's what they said about Greta, right, So I think 463 00:26:28,377 --> 00:26:31,817 Speaker 1: they're actually using them as basically human shields, which is 464 00:26:31,817 --> 00:26:33,737 Speaker 1: exactly what they did in the pandemic too. I mean, 465 00:26:33,777 --> 00:26:37,057 Speaker 1: these are people who shamelessly abuse and use kids for 466 00:26:37,097 --> 00:26:41,897 Speaker 1: their political agendas. During the pandemic, they had no problem 467 00:26:43,977 --> 00:26:48,937 Speaker 1: using children as the punching bags for pandemic policy, and 468 00:26:48,977 --> 00:26:51,617 Speaker 1: they kept saying, well, kids are resilient, they'll get over it. 469 00:26:51,937 --> 00:26:54,337 Speaker 1: We have to protect grandma. So we're going to make 470 00:26:54,377 --> 00:26:56,497 Speaker 1: sure that kids have to go to school in a 471 00:26:56,537 --> 00:26:59,377 Speaker 1: mask where they have to attend zoom classes for two years. 472 00:26:59,657 --> 00:27:01,937 Speaker 1: And they were the ones who were most harmed by 473 00:27:02,017 --> 00:27:04,857 Speaker 1: all of these restrictions, while a lot of adults got to, 474 00:27:06,097 --> 00:27:08,857 Speaker 1: even the ones with the most neuroses, got to live 475 00:27:08,857 --> 00:27:11,217 Speaker 1: out more normal lives and their kids did. And there's 476 00:27:11,217 --> 00:27:14,657 Speaker 1: something really sickening about that. And I think the same 477 00:27:14,657 --> 00:27:20,857 Speaker 1: thing is happening with other political CALCULI. So we're gonna 478 00:27:20,857 --> 00:27:22,937 Speaker 1: have no, there's not good. There's gonna be a new Greta. 479 00:27:22,937 --> 00:27:24,697 Speaker 1: I don't mean, what's this person's name again, By the way, 480 00:27:24,697 --> 00:27:30,097 Speaker 1: I didn't Sophia Keianni, Sophia check her out? How do 481 00:27:30,137 --> 00:27:32,217 Speaker 1: you spell that? I've never I've never heard of Hey, 482 00:27:32,377 --> 00:27:40,417 Speaker 1: I okay, I A and and I I believe she's 483 00:27:40,457 --> 00:27:44,017 Speaker 1: a cuter version of Greta and she's got so basically 484 00:27:44,057 --> 00:27:46,417 Speaker 1: they have they have ay, they've now they've decided that 485 00:27:46,417 --> 00:27:49,017 Speaker 1: the spokesperson for a climate catastrophe it's going to be 486 00:27:49,017 --> 00:27:53,937 Speaker 1: a a young person who is um better looking. Is 487 00:27:53,937 --> 00:27:59,217 Speaker 1: basically she's the new upgraded model. Wow. I'd never I'd 488 00:27:59,257 --> 00:28:01,057 Speaker 1: never heard of this before, but I will have to. 489 00:28:01,097 --> 00:28:03,017 Speaker 1: I'll have to check this out. By the way, I 490 00:28:03,777 --> 00:28:07,337 Speaker 1: every adult, and I mean this, every single adult, CNN, 491 00:28:07,337 --> 00:28:10,497 Speaker 1: everywhere else who sat down and had did interviews that's 492 00:28:10,497 --> 00:28:12,857 Speaker 1: going to thunberg. I do not, I refuse, I do 493 00:28:12,897 --> 00:28:15,577 Speaker 1: not take them seriously on anything like it to me. 494 00:28:15,697 --> 00:28:17,937 Speaker 1: To me, it's the equivalent they might as well have 495 00:28:17,977 --> 00:28:22,257 Speaker 1: sat down and interviewed, you know, a chipmunk or like 496 00:28:22,297 --> 00:28:25,017 Speaker 1: a tortoise or something like. It's just what are you doing? 497 00:28:25,017 --> 00:28:28,457 Speaker 1: You're asking a sixteen year old about global economic and 498 00:28:28,577 --> 00:28:32,257 Speaker 1: environmental policy. It was it was truly insane, you know, 499 00:28:32,297 --> 00:28:35,217 Speaker 1: but you'll appreciate this. I remember I said that that 500 00:28:35,457 --> 00:28:37,897 Speaker 1: adults who listened to Greta when she was doing her 501 00:28:37,897 --> 00:28:40,617 Speaker 1: toward the US should be ashamed of how stupid they are. 502 00:28:41,097 --> 00:28:43,777 Speaker 1: And a former Fox host, I will say that a 503 00:28:43,817 --> 00:28:46,097 Speaker 1: former host not say we're still there, started shouting at me, 504 00:28:46,137 --> 00:28:49,817 Speaker 1: saying that I was child bashing. So actually fell into 505 00:28:49,817 --> 00:28:53,297 Speaker 1: the fell into the left wing game of no, no, 506 00:28:53,377 --> 00:28:54,897 Speaker 1: I'm making fun of the adults. First of all, I 507 00:28:54,897 --> 00:28:56,497 Speaker 1: could have made fun of it, you know, the child. 508 00:28:56,577 --> 00:28:58,297 Speaker 1: She was like seventeen or eighteen at the time, But 509 00:28:58,337 --> 00:28:59,937 Speaker 1: I was actually just saying, adults, listen to the person, 510 00:28:59,977 --> 00:29:02,737 Speaker 1: are stupid. But some people are so desperate to virtue 511 00:29:02,777 --> 00:29:05,777 Speaker 1: signal their defense of children when it comes to Greta 512 00:29:05,897 --> 00:29:07,617 Speaker 1: and you know, all this stuff, not with the things 513 00:29:07,617 --> 00:29:09,937 Speaker 1: that children do need to be protected from, masking trans 514 00:29:10,057 --> 00:29:13,897 Speaker 1: gender ideology, sexualization in schools, but want to protect them 515 00:29:13,937 --> 00:29:16,257 Speaker 1: from No one's considering mean about Gretig as she was 516 00:29:16,297 --> 00:29:18,417 Speaker 1: a kid. It was crazy. The whole thing was insane. 517 00:29:18,457 --> 00:29:22,377 Speaker 1: It was absolutely nuts. It just speaks to this larger 518 00:29:22,457 --> 00:29:24,697 Speaker 1: trend of the left really trying to steal in a 519 00:29:24,777 --> 00:29:29,257 Speaker 1: sense away from kids. They're on social media younger than ever. 520 00:29:29,497 --> 00:29:33,777 Speaker 1: They're apparently involved in political activism on a national, if 521 00:29:33,817 --> 00:29:37,337 Speaker 1: not worldwide stage, younger than ever. They can pick their gender. 522 00:29:37,697 --> 00:29:41,297 Speaker 1: They're supposed to be exposed to books that have pornography 523 00:29:41,377 --> 00:29:44,417 Speaker 1: in them. They're supposed to bear the weight of the 524 00:29:44,417 --> 00:29:48,057 Speaker 1: pandemic on their shoulders. I mean again, it's not a 525 00:29:48,137 --> 00:29:52,017 Speaker 1: surprise that you have this massive mental health crisis among 526 00:29:52,057 --> 00:29:54,857 Speaker 1: young people. And we haven't even gotten into the pharmaceutical 527 00:29:54,937 --> 00:29:59,337 Speaker 1: questions involved with things like antidepressants and birth control that 528 00:29:59,457 --> 00:30:03,617 Speaker 1: young women are on more than ever. But the pathologies 529 00:30:03,657 --> 00:30:07,057 Speaker 1: that exist among a really large segment of the population 530 00:30:07,297 --> 00:30:10,177 Speaker 1: is harming kids really significantly. I want to ask you 531 00:30:10,257 --> 00:30:12,577 Speaker 1: actually about the farmer side of this in just a second, 532 00:30:12,617 --> 00:30:15,137 Speaker 1: so let's come back to that amber. But the Tunnel 533 00:30:15,137 --> 00:30:17,937 Speaker 1: of the Towers Foundation does amazing work and everybody should 534 00:30:18,017 --> 00:30:22,257 Speaker 1: know about how they are honoring America's heroes. The Foundation 535 00:30:22,337 --> 00:30:24,857 Speaker 1: honors fallen and severely injured heroes and their families with 536 00:30:24,897 --> 00:30:27,777 Speaker 1: mortgage free homes. This year alone, hundreds of gold Star 537 00:30:27,817 --> 00:30:31,017 Speaker 1: and fallen first responder families with young children in our 538 00:30:31,097 --> 00:30:35,017 Speaker 1: nation's most severely injured veterans and first responders are receiving homes. 539 00:30:35,257 --> 00:30:38,017 Speaker 1: More than five hundred homeless veterans received housing and services 540 00:30:38,097 --> 00:30:41,817 Speaker 1: last year, and more than fifteen hundred are receiving houses 541 00:30:41,817 --> 00:30:44,817 Speaker 1: and services this year and this coming memorial. They all 542 00:30:44,817 --> 00:30:46,697 Speaker 1: the brave men and women low since nine to eleven 543 00:30:46,857 --> 00:30:48,857 Speaker 1: in the War on Terror, having their names read allout 544 00:30:48,897 --> 00:30:51,337 Speaker 1: in a Tunne ofth of Towers ceremony in our nation's capital. 545 00:30:51,617 --> 00:30:53,617 Speaker 1: Through the Tunnel of the Towers nine eleven Institute, the 546 00:30:53,657 --> 00:30:57,017 Speaker 1: foundation is educating kids in kindergarten through twelfth grade about 547 00:30:57,017 --> 00:30:59,657 Speaker 1: our nation's darkest day. Joined Tunnel of the Towers on 548 00:30:59,657 --> 00:31:02,777 Speaker 1: its mission to do good. Please help America to never 549 00:31:02,817 --> 00:31:05,577 Speaker 1: forget it's great as heroes. Join me in donating eleven 550 00:31:05,617 --> 00:31:07,177 Speaker 1: dollars a month to Tunne of the Towers at t 551 00:31:07,377 --> 00:31:10,697 Speaker 1: twot dot org. That's t the number two t dot org. 552 00:31:13,057 --> 00:31:17,417 Speaker 1: Big Farmer. It's interesting there used to be this left 553 00:31:17,457 --> 00:31:20,897 Speaker 1: wing criticism of big pharma because they were like profiteers 554 00:31:20,937 --> 00:31:23,337 Speaker 1: and corporatism and all this stuff. And then the pandemic 555 00:31:23,377 --> 00:31:25,257 Speaker 1: came along and big Pharma was not to be questioned 556 00:31:25,337 --> 00:31:30,017 Speaker 1: under any circumstances. And we know what happened there. And 557 00:31:30,097 --> 00:31:34,057 Speaker 1: now it seems like on the right you're hearing criticisms 558 00:31:34,057 --> 00:31:37,417 Speaker 1: of just the over medication of well all people, but 559 00:31:37,497 --> 00:31:40,697 Speaker 1: particularly young women. And I hear this from the right. 560 00:31:40,737 --> 00:31:44,737 Speaker 1: I don't hear this from the left. Why is that, Well, 561 00:31:44,857 --> 00:31:48,257 Speaker 1: the left is a big portion of the group that's 562 00:31:48,297 --> 00:31:52,577 Speaker 1: doing it, and I think it's because the left has 563 00:31:52,617 --> 00:31:59,097 Speaker 1: been more overwhelmingly accepting of the idea that intense emotions 564 00:31:59,137 --> 00:32:03,177 Speaker 1: of any kind are actually illness that needs to be 565 00:32:03,217 --> 00:32:06,457 Speaker 1: treated with medication. And I'm not sure exactly why that is. 566 00:32:06,497 --> 00:32:10,017 Speaker 1: I don't know if it's because liberal adults are also 567 00:32:10,217 --> 00:32:12,457 Speaker 1: more likely to be on these medications, so maybe it's 568 00:32:12,497 --> 00:32:16,137 Speaker 1: become normalized for them. But shockingly, the New York Times 569 00:32:16,177 --> 00:32:20,817 Speaker 1: actually did a really in depth investigation on the overprescription 570 00:32:20,937 --> 00:32:25,257 Speaker 1: of ssries for young women. It was about three months ago, 571 00:32:25,297 --> 00:32:28,057 Speaker 1: i want to say, and they talked about the massive 572 00:32:28,057 --> 00:32:31,817 Speaker 1: side effects that can come from using these drugs, mostly 573 00:32:31,897 --> 00:32:36,457 Speaker 1: that it really messes with the firing of various hormones 574 00:32:36,657 --> 00:32:39,217 Speaker 1: in your body and the way that you react to 575 00:32:39,297 --> 00:32:44,897 Speaker 1: situations emotionally, and basically every part of your emotional response 576 00:32:44,937 --> 00:32:48,257 Speaker 1: gets worked when you're on these drugs for any significant 577 00:32:48,297 --> 00:32:50,937 Speaker 1: period of time. It's why you see these tiktoks and 578 00:32:51,057 --> 00:32:56,137 Speaker 1: these really flatly affected young women talking in monotone voices. 579 00:32:56,497 --> 00:33:00,017 Speaker 1: They're unable to really express real emotion, and it's because 580 00:33:00,057 --> 00:33:04,257 Speaker 1: they're on any number of cocktail of medications because they 581 00:33:04,257 --> 00:33:06,977 Speaker 1: were told that being really sad or angry or angry 582 00:33:07,137 --> 00:33:11,937 Speaker 1: was actually a problem with the chemical imbalance in their brain. 583 00:33:12,337 --> 00:33:16,817 Speaker 1: And there's questions now as to whether that understanding of 584 00:33:16,897 --> 00:33:20,337 Speaker 1: depression or anxiety was correct as well. The medical community 585 00:33:20,417 --> 00:33:26,217 Speaker 1: is currently kind of debating that understanding of what depression 586 00:33:26,377 --> 00:33:30,497 Speaker 1: and anxiety actually are. And I just think, you know, 587 00:33:30,617 --> 00:33:33,577 Speaker 1: outside of the side effects, maybe there's there's a lot 588 00:33:33,617 --> 00:33:36,217 Speaker 1: of people who do really need these, But when you're 589 00:33:36,217 --> 00:33:39,577 Speaker 1: prescribing it to anyone who who says to you that 590 00:33:39,777 --> 00:33:42,697 Speaker 1: you are you say to your therapist, for example, that 591 00:33:42,737 --> 00:33:45,457 Speaker 1: you're feeling really sad about something that happened at school, 592 00:33:45,817 --> 00:33:48,497 Speaker 1: it seems like the default is just to prescribe something. 593 00:33:48,897 --> 00:33:53,057 Speaker 1: And from personal experience, I had a great loss in 594 00:33:53,097 --> 00:33:56,537 Speaker 1: my family and I decided to go speak to someone 595 00:33:57,377 --> 00:33:59,497 Speaker 1: just to kind of have someone to talk to outside 596 00:33:59,497 --> 00:34:02,577 Speaker 1: of the situation. I didn't feel like I, you know, 597 00:34:02,937 --> 00:34:06,017 Speaker 1: wasn't that wasn't handling it well, so to speak. But 598 00:34:06,097 --> 00:34:09,817 Speaker 1: the first thing that the therapist asked me was if 599 00:34:09,817 --> 00:34:12,537 Speaker 1: I thought that I needed to be on depression medication. 600 00:34:13,257 --> 00:34:17,497 Speaker 1: And I just was flummixed by this. I said, well, 601 00:34:17,497 --> 00:34:20,617 Speaker 1: I'm grieving, you know, something really terrible has just happened. 602 00:34:21,017 --> 00:34:23,537 Speaker 1: But I don't think that I'm sick, like I think 603 00:34:23,537 --> 00:34:27,017 Speaker 1: it's normal to be really sad and to have some 604 00:34:27,097 --> 00:34:30,417 Speaker 1: difficult emotions when you're dealing with the loss of a 605 00:34:30,497 --> 00:34:33,057 Speaker 1: family member. And I just thought that was so strange 606 00:34:33,457 --> 00:34:36,257 Speaker 1: that that was the first question that was asked before 607 00:34:36,337 --> 00:34:39,577 Speaker 1: any other assessment of my health or mental health. And 608 00:34:39,617 --> 00:34:43,537 Speaker 1: I if that's what's happening in therapist's office across the country, 609 00:34:43,577 --> 00:34:47,897 Speaker 1: that's pretty terrifying. I think that's I think it's something 610 00:34:47,897 --> 00:34:52,777 Speaker 1: that requires a whole lot more conversation and people need 611 00:34:52,777 --> 00:34:55,697 Speaker 1: to focus in on this because I mean, the number 612 00:34:55,817 --> 00:34:58,697 Speaker 1: something something is off. I know people will say maybe 613 00:34:58,697 --> 00:35:02,377 Speaker 1: it's you know, church or religious attendance so down, so down, 614 00:35:02,537 --> 00:35:04,777 Speaker 1: or the whole range of things. Social media I think 615 00:35:04,857 --> 00:35:10,777 Speaker 1: is deeply unhelpful. I think the reinforcement of narratives of 616 00:35:10,817 --> 00:35:15,537 Speaker 1: negativity constantly, whether it's through there are politics of racial grievance, 617 00:35:15,897 --> 00:35:19,257 Speaker 1: or the catastrophism of climate change, or any number of 618 00:35:19,297 --> 00:35:23,057 Speaker 1: things where people are just constantly being trained to be 619 00:35:23,697 --> 00:35:27,617 Speaker 1: unhappy really and they don't realize it, but their brain, 620 00:35:27,697 --> 00:35:29,897 Speaker 1: their neural pathways there was going through these narratives of 621 00:35:30,257 --> 00:35:32,897 Speaker 1: nothing is fair, everything is rigged, everyone's against me, I'm 622 00:35:32,897 --> 00:35:36,017 Speaker 1: so unhappy. Everything sucks. If you train your brain to 623 00:35:36,057 --> 00:35:38,977 Speaker 1: think that way all the time, turns out that's how 624 00:35:38,977 --> 00:35:42,657 Speaker 1: you think about your existence. You're spot on, buck. I 625 00:35:42,697 --> 00:35:44,897 Speaker 1: just read something in this vein in the Wall Street 626 00:35:44,937 --> 00:35:48,417 Speaker 1: Journal yesterday where they were talking about the difference between 627 00:35:48,417 --> 00:35:52,657 Speaker 1: why liberals tend to have higher levels of dissatisfaction with 628 00:35:52,697 --> 00:35:56,177 Speaker 1: their lives and or mental illness versus conservatives, And it's 629 00:35:56,217 --> 00:35:59,377 Speaker 1: because of this mental framework of viewing everything as being 630 00:35:59,417 --> 00:36:02,097 Speaker 1: outside of your control. You're trapped in a system that 631 00:36:02,217 --> 00:36:05,137 Speaker 1: doesn't want you to succeed. Everything is working against you. 632 00:36:05,657 --> 00:36:09,617 Speaker 1: Whereas conservatives will tend to say they tend to look 633 00:36:09,657 --> 00:36:12,377 Speaker 1: at things more through a lens of personal responsibility. They 634 00:36:12,537 --> 00:36:15,097 Speaker 1: recognize that there are things out of their control, but 635 00:36:15,217 --> 00:36:17,377 Speaker 1: they try to focus just on the things that they 636 00:36:17,377 --> 00:36:20,217 Speaker 1: can affect in their life, and they tend to brush 637 00:36:20,217 --> 00:36:24,017 Speaker 1: off losses as not part of this larger systemic pattern 638 00:36:24,097 --> 00:36:27,937 Speaker 1: that's intended to destroy them or keep them down. And 639 00:36:28,017 --> 00:36:31,137 Speaker 1: these patterns of negative thinking on the left do really 640 00:36:31,177 --> 00:36:34,377 Speaker 1: reinforce themselves and stack on to each other to the 641 00:36:34,457 --> 00:36:37,457 Speaker 1: point where they get into this really deep hole that's 642 00:36:37,497 --> 00:36:41,457 Speaker 1: almost impossible to dig out of, and Rafe. Check out 643 00:36:41,457 --> 00:36:44,377 Speaker 1: her book, The Snowflakes Revolve, and look for her work 644 00:36:44,457 --> 00:36:48,657 Speaker 1: at The Washington or at the Spectator rather and she's 645 00:36:48,697 --> 00:36:50,577 Speaker 1: the Washington editor Amber. Thank you so much for being well. 646 00:36:50,617 --> 00:36:53,217 Speaker 1: US appreciate it. Thank you Buck