1 00:00:00,080 --> 00:00:02,880 Speaker 1: Hey, team, this is the Buck Sexton Show. And on 2 00:00:02,920 --> 00:00:06,960 Speaker 1: this episode we have Amber eighty with us now. She 3 00:00:07,640 --> 00:00:13,399 Speaker 1: is the Washington editor of the Spectator. She's a writer, columnist, author. 4 00:00:13,440 --> 00:00:17,000 Speaker 1: In fact, she's got a book that is just on 5 00:00:17,239 --> 00:00:19,880 Speaker 1: the new shelves out there, I guess on the shelves 6 00:00:19,880 --> 00:00:23,360 Speaker 1: and it's a new book on them called Snowflakes Revolt. 7 00:00:23,480 --> 00:00:26,040 Speaker 1: We're going to talk to Amber about that and some 8 00:00:26,079 --> 00:00:28,000 Speaker 1: other important stuff going on now, and we're going to 9 00:00:28,040 --> 00:00:31,200 Speaker 1: see again, how are you doing. I'm doing great. Thank 10 00:00:31,200 --> 00:00:32,880 Speaker 1: you so much for having me on the program. Buck. 11 00:00:33,640 --> 00:00:36,200 Speaker 1: Let's talk about the snowflake, shall we, because we don't 12 00:00:36,240 --> 00:00:39,159 Speaker 1: hear that term a lot anymore, not as much as 13 00:00:39,159 --> 00:00:43,960 Speaker 1: we used to. And then we saw the Stanford Law School, 14 00:00:45,360 --> 00:00:50,959 Speaker 1: the antics, the lunacy, the acting like a room full 15 00:00:51,000 --> 00:00:54,120 Speaker 1: of spoiled children, but shouting a lot of curses at 16 00:00:54,480 --> 00:00:59,000 Speaker 1: the federal judge, Judge Duncan, And I think snowflakes maybe 17 00:00:59,040 --> 00:01:00,800 Speaker 1: is a thing we have to bring Backnock is how 18 00:01:00,840 --> 00:01:04,679 Speaker 1: else do you describe law students who shout down a 19 00:01:04,760 --> 00:01:07,600 Speaker 1: federal judge who has been invited to their university to 20 00:01:07,680 --> 00:01:13,760 Speaker 1: speak right. It's a term that's kind of considered ghost now, 21 00:01:13,840 --> 00:01:16,560 Speaker 1: but I'm almost using it tongue in cheek in the 22 00:01:16,560 --> 00:01:20,440 Speaker 1: book's title, because the whole premise of this book is 23 00:01:20,480 --> 00:01:23,480 Speaker 1: that conservatives really got it wrong. And a lot of 24 00:01:23,480 --> 00:01:27,400 Speaker 1: our commentary about what would happen to these crazy campus activists, 25 00:01:27,520 --> 00:01:29,759 Speaker 1: a lot of us kind of thought that they would 26 00:01:29,760 --> 00:01:32,200 Speaker 1: get out into the real world and they would melt 27 00:01:32,240 --> 00:01:34,440 Speaker 1: so to speak, right, The real world would hit them 28 00:01:34,480 --> 00:01:37,160 Speaker 1: in the face, they wouldn't get safe spaces and trigger 29 00:01:37,160 --> 00:01:40,959 Speaker 1: warnings from their employers, and they would eventually just have 30 00:01:41,080 --> 00:01:43,640 Speaker 1: to adapt or die. But instead what happened is that 31 00:01:43,680 --> 00:01:47,280 Speaker 1: they actually brought their politics with them off campus and 32 00:01:47,319 --> 00:01:49,320 Speaker 1: are using a lot of the same tactics that we 33 00:01:49,400 --> 00:01:53,840 Speaker 1: saw at Stanford University just recently with this speech from 34 00:01:53,840 --> 00:01:58,360 Speaker 1: the judge that you mentioned, where they basically orchestrate mobs, 35 00:01:58,400 --> 00:02:01,840 Speaker 1: they have online cancel campaigns, they use social media to 36 00:02:01,840 --> 00:02:05,120 Speaker 1: shame their employers, and it's all done with the intent 37 00:02:05,280 --> 00:02:09,080 Speaker 1: of trying to push every major American institution further to 38 00:02:09,120 --> 00:02:13,280 Speaker 1: the left and to have the progressive orthodoxy that they're 39 00:02:14,320 --> 00:02:19,960 Speaker 1: really hammering into people and silencing descent. They want that 40 00:02:20,000 --> 00:02:23,720 Speaker 1: to be the way of every single major institution, and 41 00:02:23,760 --> 00:02:27,480 Speaker 1: they will do anything to do it. So do you 42 00:02:27,520 --> 00:02:33,080 Speaker 1: think that given what we've seen with some of these failures, 43 00:02:33,080 --> 00:02:40,840 Speaker 1: whether it's of banking, or of FAA regulation or you 44 00:02:40,919 --> 00:02:42,880 Speaker 1: name it, they're all these areas. Now people are starting 45 00:02:42,880 --> 00:02:47,000 Speaker 1: to say, hold on, if we're pushing people forward based 46 00:02:47,040 --> 00:02:51,560 Speaker 1: on diversity and inclusion instead of merit, there will be 47 00:02:52,440 --> 00:02:55,600 Speaker 1: problems that come from this. I think the thought process 48 00:02:55,720 --> 00:02:59,799 Speaker 1: is that the woke or the snowflakes in our discussion 49 00:03:00,120 --> 00:03:02,240 Speaker 1: or are supposed to say, you know what, you guys 50 00:03:02,240 --> 00:03:05,400 Speaker 1: are right, we won't do that anymore because the bad 51 00:03:05,480 --> 00:03:09,080 Speaker 1: things or things could even happen that are bad as 52 00:03:09,120 --> 00:03:12,640 Speaker 1: a result of this, you know, planes crashing, trains, derailing 53 00:03:14,320 --> 00:03:17,720 Speaker 1: people who become lawyers who have not even the faintest 54 00:03:17,760 --> 00:03:19,880 Speaker 1: idea of what the constitution is or supposed to do. 55 00:03:20,919 --> 00:03:24,840 Speaker 1: But I would wonder what about the position that they 56 00:03:24,880 --> 00:03:27,760 Speaker 1: might take that's just this is the cost, like this 57 00:03:27,840 --> 00:03:29,959 Speaker 1: is the cost of social justice, because because I see 58 00:03:30,000 --> 00:03:32,720 Speaker 1: this on the criminal justice front all the time, that 59 00:03:32,800 --> 00:03:36,120 Speaker 1: there's a belief that the residents, let's say, of San 60 00:03:36,160 --> 00:03:39,600 Speaker 1: Francisco or even the residents of New York City who 61 00:03:39,640 --> 00:03:43,000 Speaker 1: are ninety percent plus Democrat, they'll see the bad policies, 62 00:03:43,000 --> 00:03:46,080 Speaker 1: and they'll say, oh, man, we shouldn't have done like 63 00:03:46,080 --> 00:03:48,800 Speaker 1: this is a bad idea. Well, that assumes, though, that 64 00:03:48,960 --> 00:03:52,080 Speaker 1: they are going to place their safety and the safety 65 00:03:52,120 --> 00:03:55,000 Speaker 1: of their city more importantly, not necessarily, their safety above 66 00:03:55,040 --> 00:03:57,120 Speaker 1: their ideology, and I actually don't think they'll do that. 67 00:03:57,440 --> 00:03:59,160 Speaker 1: I think that a lot of them just view this as, yeah, 68 00:03:59,200 --> 00:04:03,320 Speaker 1: if we destroy a company with our wokeness, then fine, 69 00:04:04,000 --> 00:04:07,400 Speaker 1: that's the price we pay. Yeah, I think that's right. 70 00:04:07,440 --> 00:04:11,720 Speaker 1: I don't think that these individuals really have any sort 71 00:04:11,720 --> 00:04:17,760 Speaker 1: of logical cause and effect type of conversation happening with themselves. 72 00:04:17,880 --> 00:04:22,400 Speaker 1: I mean, everything goes back to racism or sexism for them. 73 00:04:22,440 --> 00:04:25,720 Speaker 1: I mean, if, for example, if you look at the 74 00:04:26,320 --> 00:04:29,840 Speaker 1: bank crash recently, where they were apparently spending a lot 75 00:04:29,920 --> 00:04:33,400 Speaker 1: of time trying to incorporate diversity, equity and inclusion instead 76 00:04:33,400 --> 00:04:35,680 Speaker 1: of having people who would I don't know, maybe see 77 00:04:35,720 --> 00:04:38,360 Speaker 1: that the FED was going to increase interest rates over 78 00:04:38,400 --> 00:04:41,680 Speaker 1: the past couple of years. The response to that from 79 00:04:41,680 --> 00:04:44,280 Speaker 1: woke activists wouldn't be this was our fault because they 80 00:04:44,320 --> 00:04:47,040 Speaker 1: were distracted. It would be something along the lines of, well, 81 00:04:47,080 --> 00:04:50,560 Speaker 1: they weren't doing enough di or the problem is that 82 00:04:50,640 --> 00:04:54,200 Speaker 1: the company was just too fundamentally racist and even our 83 00:04:54,240 --> 00:04:57,680 Speaker 1: woke activism couldn't overcome it. It's the same thing with 84 00:04:57,720 --> 00:05:01,080 Speaker 1: the criminal justice question that you're talking out right. The 85 00:05:01,160 --> 00:05:07,480 Speaker 1: problem isn't that individuals are committing crimes at higher rates 86 00:05:07,760 --> 00:05:11,560 Speaker 1: from certain communities. It's that police are too present in 87 00:05:11,600 --> 00:05:14,960 Speaker 1: those communities, and therefore they're just encountering those people more 88 00:05:15,000 --> 00:05:19,440 Speaker 1: often as another byproduct of racism. Like there's no explanation 89 00:05:19,520 --> 00:05:22,040 Speaker 1: for anything that happens in society for them that doesn't 90 00:05:22,040 --> 00:05:26,000 Speaker 1: go back to people's skin color or identity or minority status. 91 00:05:26,680 --> 00:05:29,320 Speaker 1: So I don't think that they'll ever look at any 92 00:05:30,320 --> 00:05:33,520 Speaker 1: any result of their ridiculous walk activism and say, oh, yeah, 93 00:05:33,560 --> 00:05:35,520 Speaker 1: this was our fault. Maybe we should take a step 94 00:05:35,520 --> 00:05:40,039 Speaker 1: back and to your point about the lack of quality 95 00:05:40,200 --> 00:05:44,880 Speaker 1: of people who are being hired from the Wok activist class, 96 00:05:45,000 --> 00:05:47,320 Speaker 1: I mean it starts back in college, of course, because 97 00:05:47,720 --> 00:05:50,440 Speaker 1: colleges have lowered admission standards and let in people who 98 00:05:50,480 --> 00:05:53,880 Speaker 1: are less qualified, and that is obviously not good for 99 00:05:53,920 --> 00:05:56,800 Speaker 1: the person who gets into whatever college, because if you're 100 00:05:56,880 --> 00:05:59,320 Speaker 1: talking about law school, for example, then that person has 101 00:05:59,320 --> 00:06:02,320 Speaker 1: a or likelihood of passing the bar, so you're actually 102 00:06:02,400 --> 00:06:04,920 Speaker 1: hurting the people you're purport to help. But let's say 103 00:06:04,960 --> 00:06:08,599 Speaker 1: this person does go on to graduate college and they 104 00:06:08,680 --> 00:06:12,919 Speaker 1: get hired through another affirmative action program at whatever company 105 00:06:12,960 --> 00:06:15,560 Speaker 1: they work for. Well, there's a study that was written 106 00:06:15,560 --> 00:06:17,719 Speaker 1: about in the Wall Street Journal last week that found 107 00:06:17,760 --> 00:06:22,960 Speaker 1: a lot of these rather underqualified candidates end up becoming 108 00:06:23,040 --> 00:06:27,440 Speaker 1: specialist in diversity, equity and inclusion initiatives. And why do 109 00:06:27,480 --> 00:06:30,440 Speaker 1: they do that? Well, it's because it makes them unfireable. 110 00:06:30,760 --> 00:06:32,920 Speaker 1: So even though they're really bad at their job, or 111 00:06:32,960 --> 00:06:39,320 Speaker 1: they're untalented, or they're underqualified, they have this special way 112 00:06:39,480 --> 00:06:43,720 Speaker 1: of training the workforce that if you criticize it or 113 00:06:43,760 --> 00:06:45,919 Speaker 1: go against it, you will be called a racist. And 114 00:06:46,000 --> 00:06:48,800 Speaker 1: if you fire them, you will probably be sued for 115 00:06:49,000 --> 00:06:51,360 Speaker 1: creating a hostile work environment. So this is a way 116 00:06:51,400 --> 00:06:56,120 Speaker 1: that they've actually created institutional protection for themselves. Well, also, 117 00:06:56,160 --> 00:06:59,320 Speaker 1: it seems to me like how can this ties into 118 00:06:59,360 --> 00:07:04,360 Speaker 1: the stand for dean of diversity, who you know, verbally 119 00:07:04,400 --> 00:07:07,000 Speaker 1: berated in a room full of people who are acting 120 00:07:07,040 --> 00:07:13,640 Speaker 1: horribly obviously verbally berated. The Fifth Circuit Judge Judge duncan 121 00:07:14,400 --> 00:07:18,800 Speaker 1: that it's effectively also a job that is it is 122 00:07:18,840 --> 00:07:24,200 Speaker 1: impossible to underperform really because the whole point is to 123 00:07:24,280 --> 00:07:26,600 Speaker 1: just do grievance politics all the time. So, if you're 124 00:07:26,600 --> 00:07:29,160 Speaker 1: a diversity activist or diversity educator, what are you saying, 125 00:07:29,440 --> 00:07:32,280 Speaker 1: we don't have enough diversity? There's too much racism out there. 126 00:07:32,960 --> 00:07:36,800 Speaker 1: So if there's not more diversity in the university, it's 127 00:07:36,800 --> 00:07:38,720 Speaker 1: not your fault because you're the one who's saying we 128 00:07:38,760 --> 00:07:41,520 Speaker 1: need more diversity. Right, So you're always it's like there's 129 00:07:41,560 --> 00:07:44,800 Speaker 1: you know, they got a fever. The only prescription is, 130 00:07:45,080 --> 00:07:48,400 Speaker 1: you know, is more cowbell, right. You know they're saying 131 00:07:48,480 --> 00:07:51,960 Speaker 1: that line from SNL. If you're a diversity and inclusion educator, 132 00:07:52,360 --> 00:07:54,720 Speaker 1: they've got a fever. The only prescription is more diversity 133 00:07:54,760 --> 00:07:58,040 Speaker 1: and inclusion. It doesn't it doesn't make any difference. Um, 134 00:07:58,560 --> 00:08:01,160 Speaker 1: and so how you even have job? Like, how could 135 00:08:01,200 --> 00:08:04,720 Speaker 1: you even have performance metrics? Yeah? I noticed how they 136 00:08:04,800 --> 00:08:08,080 Speaker 1: never have an actual metric for how much diversity is 137 00:08:08,080 --> 00:08:11,360 Speaker 1: considered enough diversity. They'll just say that such and such 138 00:08:11,400 --> 00:08:15,120 Speaker 1: group is underrepresented in this space. Well, when I was 139 00:08:15,160 --> 00:08:17,520 Speaker 1: at Georgetown University, I talk a lot about, you know, 140 00:08:17,560 --> 00:08:20,560 Speaker 1: my experience on campus. I was a pretty outspoken conservative 141 00:08:20,640 --> 00:08:23,840 Speaker 1: and kind of saw firsthand where all of this was going, 142 00:08:24,040 --> 00:08:30,720 Speaker 1: and there was this this programmatic response from the Georgetown administration. 143 00:08:30,880 --> 00:08:35,360 Speaker 1: Two concerns that the university had previously one of the 144 00:08:35,640 --> 00:08:39,440 Speaker 1: former presidents of the university had previously owned slaves and 145 00:08:39,559 --> 00:08:42,160 Speaker 1: sold them at some point, and there's a very complicated 146 00:08:42,200 --> 00:08:45,320 Speaker 1: story surrounding it where it's not actually quite as bad 147 00:08:45,360 --> 00:08:49,680 Speaker 1: as it sounds. But obviously that didn't fly with the 148 00:08:49,920 --> 00:08:53,040 Speaker 1: progressives on campus, so they demanded all of these things 149 00:08:53,080 --> 00:08:56,480 Speaker 1: from the university to make up for this historical connection 150 00:08:56,520 --> 00:09:01,480 Speaker 1: to slavery. One of the items was that Georgetown needed 151 00:09:01,520 --> 00:09:07,920 Speaker 1: to hire a They needed to hire enough black professors 152 00:09:07,920 --> 00:09:13,400 Speaker 1: such that they were paying salaries to black professors that 153 00:09:13,559 --> 00:09:19,240 Speaker 1: was equivalent to the modern day monetary value of the 154 00:09:19,280 --> 00:09:21,600 Speaker 1: sale of the slaves. Now, I did a little bit 155 00:09:21,640 --> 00:09:25,000 Speaker 1: of rough math, and basically they wanted the university to 156 00:09:25,120 --> 00:09:30,760 Speaker 1: pay close to trillions of dollars in money to black professors, 157 00:09:31,240 --> 00:09:36,760 Speaker 1: which is physically financially impossible because no university has that 158 00:09:36,800 --> 00:09:40,480 Speaker 1: amount of money. And also Georgetown already actually had an 159 00:09:40,520 --> 00:09:44,800 Speaker 1: overrepresentation of black professors. When you compared the percentage of 160 00:09:44,840 --> 00:09:48,480 Speaker 1: black professors to the percentage of black people in the 161 00:09:48,559 --> 00:09:52,520 Speaker 1: larger American population. So again, there's no logic that goes 162 00:09:52,520 --> 00:09:56,520 Speaker 1: into these grievances. These are simply used as a way 163 00:09:56,720 --> 00:10:00,360 Speaker 1: of playing victim hood because it gives a sense of 164 00:10:00,400 --> 00:10:06,400 Speaker 1: power in modern society and also making themselves uncancellable. I 165 00:10:06,400 --> 00:10:10,640 Speaker 1: want to ask you more about Snowflake's Revolt, Amber Athies 166 00:10:11,080 --> 00:10:13,680 Speaker 1: new book, which you should all get a copy of 167 00:10:14,320 --> 00:10:16,040 Speaker 1: when we come back here in a second. Also want 168 00:10:16,040 --> 00:10:18,800 Speaker 1: to ask you about the mental health crisis of young 169 00:10:18,840 --> 00:10:22,360 Speaker 1: women in America. That this goes beyond the political divide. 170 00:10:22,400 --> 00:10:25,120 Speaker 1: Everyone who looks at the numbers understands there is a 171 00:10:25,960 --> 00:10:31,880 Speaker 1: particularly for adolescent women, females, young girls, teenagers, there is 172 00:10:32,080 --> 00:10:34,719 Speaker 1: a mental health crisis that when you hear the numbers 173 00:10:34,800 --> 00:10:37,640 Speaker 1: of consideration of self harm and other things is shocking. 174 00:10:38,040 --> 00:10:40,120 Speaker 1: Something awful is going on in the country. We got 175 00:10:40,120 --> 00:10:43,000 Speaker 1: to address it. We'll get back to that in a moment. Well, 176 00:10:43,040 --> 00:10:45,000 Speaker 1: for everybody out there, how are your energy levels these days? 177 00:10:45,000 --> 00:10:47,560 Speaker 1: Are you as fitting energetic as you know? 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What are you put in 203 00:11:55,280 --> 00:11:58,480 Speaker 1: your coffee? What's your goat? Do you drink coffee? Assuming 204 00:11:58,480 --> 00:12:01,480 Speaker 1: your coffee drinker? I do, I do, and I put 205 00:12:01,480 --> 00:12:03,600 Speaker 1: a lot of really awful things in my coffee. I 206 00:12:03,720 --> 00:12:07,600 Speaker 1: put splenda, and I will say I use dairy creamer, 207 00:12:07,760 --> 00:12:10,120 Speaker 1: so I don't use the non dairy stuff. But it's 208 00:12:10,120 --> 00:12:13,960 Speaker 1: not a great coffee routine. I'll admit creamer and splenda. 209 00:12:14,160 --> 00:12:18,440 Speaker 1: Huh okay, interesting. Yeah, I'm thinking about making the switch 210 00:12:18,520 --> 00:12:22,360 Speaker 1: from from moocaw milk to almond milk based on what 211 00:12:22,400 --> 00:12:26,880 Speaker 1: I'm told is, you know, gut inflammation and health reasons. 212 00:12:26,960 --> 00:12:29,640 Speaker 1: But I feel like I feel like this just keeps 213 00:12:29,720 --> 00:12:32,120 Speaker 1: changing all the time now, like everyone's always just like, oh, 214 00:12:32,160 --> 00:12:34,079 Speaker 1: well this is you know. I started to get all excited. 215 00:12:34,120 --> 00:12:36,360 Speaker 1: I was like, what about oat milk? And now we're 216 00:12:36,360 --> 00:12:38,079 Speaker 1: told that oat milk has a lot of oil and 217 00:12:38,160 --> 00:12:40,600 Speaker 1: high fat content. I can't I can't keep it all. 218 00:12:40,640 --> 00:12:42,280 Speaker 1: I can't keep all. I probably should just drink my 219 00:12:42,280 --> 00:12:45,440 Speaker 1: coffee black, which because really, what do I want? I 220 00:12:45,480 --> 00:12:49,240 Speaker 1: want that coffee a roma's choice. Yeah, I should probably 221 00:12:49,240 --> 00:12:51,360 Speaker 1: shrink O. But it's bad for you. It stains your teeth. 222 00:12:51,440 --> 00:12:54,120 Speaker 1: So see, there's no nothing that gets it all done 223 00:12:54,120 --> 00:12:56,959 Speaker 1: out there. So how do we beat the the woke mob? 224 00:12:57,840 --> 00:12:59,240 Speaker 1: What do we do? I mean, do we you know, 225 00:12:59,280 --> 00:13:01,280 Speaker 1: we we see them, we talk about how crazy they are. 226 00:13:01,720 --> 00:13:06,360 Speaker 1: But it does feel to me like we noticed this 227 00:13:06,400 --> 00:13:09,839 Speaker 1: when they had already seized control of the most powerful companies, 228 00:13:10,480 --> 00:13:13,000 Speaker 1: all of media, all not all of media, but all 229 00:13:13,040 --> 00:13:17,040 Speaker 1: of social media, all of academia, obviously Hollywood for a 230 00:13:17,080 --> 00:13:21,880 Speaker 1: long time, the legal profession, increasingly law schools. So what 231 00:13:21,920 --> 00:13:25,600 Speaker 1: do we do? Yeah, I mean, the real problem is 232 00:13:25,640 --> 00:13:27,959 Speaker 1: you have to basically have an adult in the room 233 00:13:28,040 --> 00:13:32,960 Speaker 1: who has institutional power, who's willing to say, all right enough, 234 00:13:33,000 --> 00:13:35,680 Speaker 1: we're not going to appease you anymore. But because so 235 00:13:35,800 --> 00:13:39,280 Speaker 1: many of these institutions were liberal long before the progressives 236 00:13:39,280 --> 00:13:42,840 Speaker 1: came into play, you have people who are one sympathetic 237 00:13:42,960 --> 00:13:48,120 Speaker 1: to these young activists, two who are terrified of them 238 00:13:48,160 --> 00:13:51,319 Speaker 1: because they know how crazy they are because they're ostensibly 239 00:13:51,320 --> 00:13:56,880 Speaker 1: on the same side, and three really don't understand that 240 00:13:56,920 --> 00:14:00,280 Speaker 1: these people don't really have power. I mean to booms 241 00:14:00,320 --> 00:14:03,560 Speaker 1: who are in charge of companies or on boards, or 242 00:14:03,559 --> 00:14:07,680 Speaker 1: who are editors, in newsrooms, they think that ten tweets 243 00:14:07,920 --> 00:14:10,440 Speaker 1: is a major crisis, Like they think that is going 244 00:14:10,480 --> 00:14:12,960 Speaker 1: to bring down the company. I mean, they really do 245 00:14:13,040 --> 00:14:16,960 Speaker 1: believe that. So that's why these cancelation campaigns are so effective, 246 00:14:17,000 --> 00:14:19,760 Speaker 1: because it only takes a really local minority for these 247 00:14:19,760 --> 00:14:22,320 Speaker 1: people to go running scared. And then of course they're 248 00:14:22,360 --> 00:14:24,280 Speaker 1: afraid of being on the wrong side of the issue 249 00:14:24,320 --> 00:14:26,160 Speaker 1: as well, because they don't want to be called racist 250 00:14:26,280 --> 00:14:28,560 Speaker 1: or transphobic or whatever the word of the day is. 251 00:14:28,560 --> 00:14:30,560 Speaker 1: They really think that is the worst thing in the 252 00:14:30,600 --> 00:14:34,120 Speaker 1: world too. So until you get the right people in charge, 253 00:14:34,520 --> 00:14:36,920 Speaker 1: there's only so much that you can do. I mean, obviously, 254 00:14:36,960 --> 00:14:42,440 Speaker 1: creating alternative institutions is one of the ways that you 255 00:14:42,440 --> 00:14:44,680 Speaker 1: can kind of combat this, although it's not a perfect 256 00:14:44,720 --> 00:14:49,080 Speaker 1: way because conservatives haven't really figured out the best way 257 00:14:49,120 --> 00:14:53,680 Speaker 1: to encourage buycots for products that are good. They always 258 00:14:53,680 --> 00:14:56,160 Speaker 1: want to make everything really overtly political, which is not 259 00:14:56,200 --> 00:14:59,280 Speaker 1: always the answer either. But on the media question, there's 260 00:14:59,320 --> 00:15:02,280 Speaker 1: one simple thing that conservatives can do, and that's to 261 00:15:02,600 --> 00:15:07,120 Speaker 1: delegitimize the mainstream media by refusing them access. I see 262 00:15:07,160 --> 00:15:10,840 Speaker 1: over and over again that Republicans on Capitol Hill will 263 00:15:10,920 --> 00:15:13,400 Speaker 1: call up the New York Times or the Washington Post, 264 00:15:13,440 --> 00:15:15,640 Speaker 1: and they give them their op eds and their scoops 265 00:15:15,680 --> 00:15:21,000 Speaker 1: and all their information, and inevitably, when they get poor 266 00:15:21,080 --> 00:15:23,360 Speaker 1: coverage from one of these media outlets, they go running 267 00:15:23,360 --> 00:15:26,360 Speaker 1: to independent and conservative media begging them to clean up 268 00:15:26,360 --> 00:15:28,480 Speaker 1: the mess. Well, how about you just don't give them 269 00:15:28,480 --> 00:15:32,360 Speaker 1: information in the first place, because you're giving them power. 270 00:15:33,080 --> 00:15:36,480 Speaker 1: By giving them that access, you are telling their readers 271 00:15:36,680 --> 00:15:39,960 Speaker 1: and the rest of America that they are legitimate, that 272 00:15:40,080 --> 00:15:44,000 Speaker 1: they have the ability to share information with them that 273 00:15:44,040 --> 00:15:47,440 Speaker 1: they might not get elsewhere. So freeze them out right. 274 00:15:47,560 --> 00:15:51,040 Speaker 1: I mean, Florida Governor Ronda Santis does this really well. 275 00:15:51,040 --> 00:15:55,280 Speaker 1: His administration doesn't talk to these mainstream media outlets. They 276 00:15:55,280 --> 00:15:57,680 Speaker 1: don't talk to people who don't give them fair coverage, 277 00:15:58,120 --> 00:16:01,880 Speaker 1: and the result is that I think they're they're probably 278 00:16:02,040 --> 00:16:05,240 Speaker 1: much better off. For one and two, Floridians don't have 279 00:16:05,320 --> 00:16:08,640 Speaker 1: to go to lying media in order to read anything 280 00:16:08,680 --> 00:16:11,920 Speaker 1: original about the governor or anything new that's happening in 281 00:16:11,960 --> 00:16:14,400 Speaker 1: their state. So I think that's a pretty good blueprint 282 00:16:14,480 --> 00:16:16,560 Speaker 1: for how the rest of the country can help take 283 00:16:16,640 --> 00:16:20,440 Speaker 1: the power away from organizations and media outlets that really 284 00:16:20,480 --> 00:16:25,000 Speaker 1: are going to the woke. I always was at firstly 285 00:16:25,080 --> 00:16:29,440 Speaker 1: surprised that Donald Trump continued to talk to particularly the 286 00:16:29,480 --> 00:16:31,880 Speaker 1: New York Times, but also the Washington Post all throughout 287 00:16:31,880 --> 00:16:35,920 Speaker 1: his presidency. I mean, he would give more access to 288 00:16:36,400 --> 00:16:40,120 Speaker 1: New York Times reporter Maggie Haberman than almost anybody else. 289 00:16:40,160 --> 00:16:41,920 Speaker 1: I think if you look at the White House visitor Loogs, 290 00:16:41,920 --> 00:16:44,200 Speaker 1: I mean, there might have been a few conservatives who 291 00:16:44,200 --> 00:16:46,040 Speaker 1: would speak to him on the cell phone more or 292 00:16:46,120 --> 00:16:49,280 Speaker 1: had more direct contact with him that way. But Maggie Haberman, 293 00:16:49,480 --> 00:16:52,040 Speaker 1: she practically should have had her own her own room 294 00:16:52,040 --> 00:16:53,800 Speaker 1: in the White House to stay over so she could 295 00:16:53,800 --> 00:16:55,840 Speaker 1: continue the interviews the next day. Why was he doing that? 296 00:16:57,720 --> 00:17:00,400 Speaker 1: I think that Trump had this sort of estali jeff 297 00:17:00,480 --> 00:17:05,199 Speaker 1: Or when he was really considered a revered celebrity in 298 00:17:05,240 --> 00:17:08,480 Speaker 1: the eyes of the mainstream media, and particularly being from 299 00:17:08,520 --> 00:17:11,320 Speaker 1: New York. You know, the New York Times did used 300 00:17:11,320 --> 00:17:14,240 Speaker 1: to have this level of prestige where people wanted to 301 00:17:14,280 --> 00:17:17,480 Speaker 1: be mentioned in it, they wanted to have favorable coverage 302 00:17:17,480 --> 00:17:20,040 Speaker 1: in it. And I think Trump still believes that he 303 00:17:20,080 --> 00:17:23,080 Speaker 1: can get that back. I think maybe he doesn't really 304 00:17:23,160 --> 00:17:27,720 Speaker 1: grasp just how rotted from the core these media outlets 305 00:17:27,720 --> 00:17:30,199 Speaker 1: have become. And it was a constant frustration of my 306 00:17:30,320 --> 00:17:33,120 Speaker 1: time as a White House correspondent during the Trump administration. 307 00:17:33,560 --> 00:17:36,080 Speaker 1: I mean, we would go in to the briefing room 308 00:17:36,800 --> 00:17:38,960 Speaker 1: and you would see the day after one of these 309 00:17:39,000 --> 00:17:42,960 Speaker 1: media outlets, CNN, whoever it was, published, just an egregious 310 00:17:43,040 --> 00:17:47,280 Speaker 1: piece of fake news. For whatever reason, the communication staff 311 00:17:47,320 --> 00:17:50,320 Speaker 1: would call them back for some type of background briefing 312 00:17:50,359 --> 00:17:52,760 Speaker 1: away from the rest of the press and continue to 313 00:17:52,760 --> 00:17:55,280 Speaker 1: give them stories and scoops and access. And it was 314 00:17:55,320 --> 00:17:58,320 Speaker 1: just mind blowing, Like they have just done you so wrong. 315 00:17:58,359 --> 00:18:02,000 Speaker 1: They've treated you incredibly unfairly, They've lied about you, and 316 00:18:02,080 --> 00:18:04,760 Speaker 1: you rewarded them for it. How do you think that's 317 00:18:04,800 --> 00:18:08,159 Speaker 1: going to change their behavior. It's not. You're just incentivizing it. 318 00:18:09,080 --> 00:18:10,480 Speaker 1: I want to come back and ask you about the 319 00:18:11,119 --> 00:18:14,480 Speaker 1: mental health health crisis facing young women in America right now. 320 00:18:15,760 --> 00:18:17,359 Speaker 1: So we'll get to that Amber in just a moment. 321 00:18:17,560 --> 00:18:21,040 Speaker 1: Check out Amber's book Everybody Snowflakes Revolt for the T 322 00:18:21,240 --> 00:18:23,920 Speaker 1: mobile subscribers out their heads up. There's a data breach 323 00:18:24,000 --> 00:18:26,800 Speaker 1: that exposed a sensitive personal information of thirty seven million 324 00:18:26,800 --> 00:18:29,600 Speaker 1: customers right after the New year. Cyber Hackers grab data 325 00:18:29,600 --> 00:18:32,840 Speaker 1: without notice, could include customers names, emails, billing addresses, and 326 00:18:32,920 --> 00:18:36,640 Speaker 1: phone numbers they've exploited. 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If they see unusual activity in 334 00:18:54,680 --> 00:18:57,280 Speaker 1: your name and you're LifeLock customer like I've been for 335 00:18:57,320 --> 00:19:01,919 Speaker 1: about six years now, you'll get an alert that via tax, cell, phone, call, email, 336 00:19:01,960 --> 00:19:04,720 Speaker 1: whatever it takes to get you the information. It's important 337 00:19:04,720 --> 00:19:07,760 Speaker 1: to understand how cybercrime and identity theft are affecting our lives, 338 00:19:07,960 --> 00:19:09,840 Speaker 1: and if you do become a victim of identity theft, 339 00:19:09,840 --> 00:19:13,040 Speaker 1: a dedicated US based LifeLock restoration specialist will work with 340 00:19:13,080 --> 00:19:15,280 Speaker 1: you to fix it. No one can prevent all identity 341 00:19:15,320 --> 00:19:17,680 Speaker 1: theft or monitor all transactions at all businesses, but it's 342 00:19:17,680 --> 00:19:20,399 Speaker 1: easy to help protect yourself with LifeLock. I would light 343 00:19:20,480 --> 00:19:22,239 Speaker 1: on them for years, and you can too. Joy Now 344 00:19:22,280 --> 00:19:24,600 Speaker 1: save up a twenty five percent off your first year 345 00:19:24,880 --> 00:19:28,320 Speaker 1: with promo codebuck at LifeLock dot com. That's LifeLock dot 346 00:19:28,400 --> 00:19:32,119 Speaker 1: Com promo code buck or call one eight hundred LifeLock. 347 00:19:32,440 --> 00:19:34,120 Speaker 1: Make sure you get a LifeLock dot com use promo 348 00:19:34,160 --> 00:19:38,159 Speaker 1: code buck for that discount. All right, Amber, The stats 349 00:19:38,240 --> 00:19:41,440 Speaker 1: are stunning. There's a mental health crisis for young women 350 00:19:41,480 --> 00:19:44,560 Speaker 1: in the country. Something like a third of them reportedly 351 00:19:44,560 --> 00:19:50,280 Speaker 1: have considered extreme self harm, perhaps even up to suicide. 352 00:19:50,320 --> 00:19:52,080 Speaker 1: In the last year. A third of young women, I 353 00:19:52,119 --> 00:19:55,320 Speaker 1: think the age rage was like fourteen to eighteen something 354 00:19:55,359 --> 00:19:58,879 Speaker 1: like that in the study that I saw. What is 355 00:19:58,920 --> 00:20:04,439 Speaker 1: going on? Why is this happening? There's so many reasons. 356 00:20:04,520 --> 00:20:07,760 Speaker 1: I mean, let's start with the obvious, which is the pandemic, right. 357 00:20:07,840 --> 00:20:12,679 Speaker 1: I mean, for two to three years, these teen girls 358 00:20:12,680 --> 00:20:16,840 Speaker 1: and boys too, we're only communicating with their peers through 359 00:20:16,880 --> 00:20:20,520 Speaker 1: social media and social media. I mean that leads us 360 00:20:20,560 --> 00:20:22,720 Speaker 1: right to the next problem, right, which is social media. 361 00:20:23,359 --> 00:20:27,119 Speaker 1: The studies on the harms of social media, particularly to 362 00:20:27,240 --> 00:20:31,240 Speaker 1: young girls, the statistics are egregious. I mean, they're addictive. 363 00:20:31,920 --> 00:20:35,080 Speaker 1: They can lead to body dysmorphia, they can lead to 364 00:20:35,160 --> 00:20:39,000 Speaker 1: depression because these girls are constantly seeing really worked and 365 00:20:39,080 --> 00:20:42,560 Speaker 1: distorted visions of what being a girl is supposed to 366 00:20:42,600 --> 00:20:46,200 Speaker 1: look like, of what of what guys like to see 367 00:20:46,280 --> 00:20:50,080 Speaker 1: in a woman, and it breaks their brains, it makes 368 00:20:50,119 --> 00:20:54,280 Speaker 1: them despise themselves. It's a it's a really harmful thing 369 00:20:54,359 --> 00:20:57,400 Speaker 1: for any young person to be on and for women 370 00:20:57,440 --> 00:21:01,160 Speaker 1: already struggling with body image at a young age, truly devastating. 371 00:21:03,000 --> 00:21:05,600 Speaker 1: By the way, can I just just give the statistics, amberks, 372 00:21:05,680 --> 00:21:09,520 Speaker 1: I wanted to pull this up of female teenagers, so 373 00:21:09,600 --> 00:21:11,720 Speaker 1: I guess that's thirteen to eighteen. I think it's forty 374 00:21:11,720 --> 00:21:17,200 Speaker 1: to eighteen fifty seven. Discording the CDC, fifty seven percent 375 00:21:17,240 --> 00:21:21,240 Speaker 1: said they are persistently sad, thirty percent said they have 376 00:21:21,359 --> 00:21:25,919 Speaker 1: considered suicide nationwide, twenty four percent have planned a suicide, 377 00:21:25,920 --> 00:21:28,720 Speaker 1: and thirteen percent have attempted suicide. I mean those those 378 00:21:28,760 --> 00:21:33,919 Speaker 1: are absolutely crisis level numbers. Sorry, continue, No, it's one 379 00:21:33,960 --> 00:21:38,320 Speaker 1: hundred percent correct. And we've talked for years, I think conservatives, 380 00:21:38,320 --> 00:21:41,560 Speaker 1: at least I talked for years about the rather dire 381 00:21:41,600 --> 00:21:44,879 Speaker 1: statistics about young men and young women are very quickly 382 00:21:44,920 --> 00:21:48,440 Speaker 1: catching up. And when you dive deeper into this, what 383 00:21:48,480 --> 00:21:52,560 Speaker 1: you quickly learn is that liberal young women in particular, 384 00:21:53,200 --> 00:21:56,199 Speaker 1: tend to have more severe mental illness and tend to 385 00:21:56,240 --> 00:21:59,560 Speaker 1: have mental illness at higher rates. And there's a lot 386 00:21:59,640 --> 00:22:02,119 Speaker 1: of potential reasons for that. Just a couple that I 387 00:22:02,160 --> 00:22:07,240 Speaker 1: would point out are that one, feminism has really taught 388 00:22:07,320 --> 00:22:11,360 Speaker 1: women to suppress their natural desires and their different biology, 389 00:22:11,760 --> 00:22:15,120 Speaker 1: and they want young women to desire to be like men. 390 00:22:15,400 --> 00:22:20,080 Speaker 1: And when you have your internal self, your natural self, 391 00:22:20,280 --> 00:22:24,800 Speaker 1: telling you to do something, and you're actively rejecting that 392 00:22:24,960 --> 00:22:28,760 Speaker 1: and trying to behave publicly a different way, whether that's 393 00:22:28,800 --> 00:22:33,679 Speaker 1: engaging in hookup culture or desiring to climb the career ladder, 394 00:22:33,800 --> 00:22:36,480 Speaker 1: over starting a family when you're young, and being in 395 00:22:36,480 --> 00:22:41,040 Speaker 1: a committed relationship. That is so damaging to someone's ability 396 00:22:41,119 --> 00:22:44,159 Speaker 1: to feel comfortable with themselves and to feel happy and 397 00:22:44,200 --> 00:22:46,800 Speaker 1: like they have purpose in life. And then the second 398 00:22:46,840 --> 00:22:50,399 Speaker 1: problem is that in liberal families you see this really 399 00:22:50,440 --> 00:22:55,399 Speaker 1: sick trend of parents basically passing on their own neuroses 400 00:22:55,480 --> 00:22:59,480 Speaker 1: to their kids, whether it's the panic over climate change 401 00:23:00,119 --> 00:23:03,080 Speaker 1: or their insistence that if you are struggling through puberty 402 00:23:03,119 --> 00:23:05,560 Speaker 1: that you might be a different gender. I mean, they 403 00:23:05,640 --> 00:23:09,560 Speaker 1: really put these kids through a panic about the state 404 00:23:09,600 --> 00:23:12,760 Speaker 1: of the world. I mean, these kids are often convinced 405 00:23:12,800 --> 00:23:15,920 Speaker 1: that there are Nazis looking to kill them working around 406 00:23:16,000 --> 00:23:19,239 Speaker 1: every corner, that their rights could be voted away at 407 00:23:19,280 --> 00:23:22,760 Speaker 1: any given second, that democracy itself is in danger. I mean, 408 00:23:22,800 --> 00:23:25,359 Speaker 1: if you're someone who legitimately believes that, is it any 409 00:23:25,400 --> 00:23:27,639 Speaker 1: wonder that you might want to go to the doctor 410 00:23:27,680 --> 00:23:32,399 Speaker 1: looking for an antidepressant. Have you ever met somebody that 411 00:23:32,480 --> 00:23:36,560 Speaker 1: you think, truly and honestly was fearful of climate change? 412 00:23:36,680 --> 00:23:39,560 Speaker 1: Like I see people talking about it in a way 413 00:23:39,840 --> 00:23:41,760 Speaker 1: where they want everyone to think, But do you have 414 00:23:41,880 --> 00:23:44,800 Speaker 1: you ever had the personal experience of talking to somebody 415 00:23:44,800 --> 00:23:48,080 Speaker 1: because I haven't. I've never. I've never to this day 416 00:23:48,080 --> 00:23:50,760 Speaker 1: found somebody who will say to me and I bother 417 00:23:50,880 --> 00:23:53,080 Speaker 1: I wouldn't include like on a CNN hit or something, 418 00:23:53,080 --> 00:23:56,119 Speaker 1: because that's performative, right, I mean, just a person walking 419 00:23:56,119 --> 00:23:59,800 Speaker 1: around who was genuinely terrified of climate change. And yet 420 00:23:59,800 --> 00:24:01,560 Speaker 1: you see all these people that will say things like 421 00:24:01,600 --> 00:24:03,760 Speaker 1: I don't want to have kids because I don't want 422 00:24:03,760 --> 00:24:05,480 Speaker 1: to bring kids in the world because of our CEO 423 00:24:05,520 --> 00:24:08,840 Speaker 1: two emissions, and you know we're overcrowded, which the opposite 424 00:24:08,920 --> 00:24:11,120 Speaker 1: is actually we need more people. But that's a whole 425 00:24:11,160 --> 00:24:14,480 Speaker 1: other thing. Have you ever met somebody that really that 426 00:24:14,600 --> 00:24:18,600 Speaker 1: really believe that. I'm just curious. I've thankfully never met 427 00:24:18,640 --> 00:24:21,359 Speaker 1: someone like that, but I see them on social media 428 00:24:21,440 --> 00:24:25,000 Speaker 1: all the time, particularly on TikTok. And there's this new, 429 00:24:26,560 --> 00:24:29,639 Speaker 1: I guess, younger, hipper version of Greta Thundberg now. And 430 00:24:29,720 --> 00:24:32,840 Speaker 1: her name is Sophia Kiani, and she's been invited to 431 00:24:32,840 --> 00:24:35,680 Speaker 1: the United Nations, She's received a whole bunch of awards, 432 00:24:35,680 --> 00:24:40,399 Speaker 1: she has fellowships with various climate institutions, and she's a 433 00:24:40,720 --> 00:24:44,080 Speaker 1: I think, like a freshman in college that is of 434 00:24:44,119 --> 00:24:48,639 Speaker 1: the belief I mean, I think sincerely that our world 435 00:24:48,760 --> 00:24:50,880 Speaker 1: could disappear as we know it in the next five 436 00:24:50,960 --> 00:24:53,119 Speaker 1: to ten years because of climate change. And she's just 437 00:24:53,480 --> 00:24:57,520 Speaker 1: this beautiful, clearly bright young person. And it's so sad 438 00:24:57,560 --> 00:25:00,960 Speaker 1: to see that these kids get so wrapped up in 439 00:25:01,320 --> 00:25:05,240 Speaker 1: what is an obvious lie. I think it's a fascinating 440 00:25:05,280 --> 00:25:12,560 Speaker 1: that adults, adults wouldn't listen to a college freshman, and 441 00:25:12,800 --> 00:25:17,560 Speaker 1: rightly so, by the way, about what the speed limit 442 00:25:17,600 --> 00:25:21,280 Speaker 1: should be in the neighborhood. Like you know, generally speaking, 443 00:25:21,359 --> 00:25:24,119 Speaker 1: you're going to as as an adult, you're going to 444 00:25:24,320 --> 00:25:26,719 Speaker 1: discount the ideas, and certainly in the case of Grettath Thunberg, 445 00:25:26,800 --> 00:25:29,720 Speaker 1: she was like six fifteen sixteen when she was started 446 00:25:29,760 --> 00:25:32,840 Speaker 1: sailing around and lecturing everybody about you know, how dare 447 00:25:32,880 --> 00:25:36,560 Speaker 1: you and all that stuff. Why do they listen to 448 00:25:36,600 --> 00:25:39,440 Speaker 1: somebody that they would on this issue, which is enormously 449 00:25:39,800 --> 00:25:43,480 Speaker 1: complicated as much as they're neurotics about it, but they 450 00:25:43,480 --> 00:25:45,440 Speaker 1: wouldn't listen to them on anything else. It just seems 451 00:25:45,480 --> 00:25:48,320 Speaker 1: to me like it's debasing. It's debasing for an adult 452 00:25:48,400 --> 00:25:51,440 Speaker 1: to be like, oh, let's let's worship this child who 453 00:25:51,480 --> 00:25:54,879 Speaker 1: is going to lecture us all on climate issues. Well, 454 00:25:54,880 --> 00:25:57,400 Speaker 1: I think what they're doing is they're elevating children who 455 00:25:57,440 --> 00:26:00,720 Speaker 1: happen to agree with them, because the obvious response to 456 00:26:00,760 --> 00:26:03,639 Speaker 1: people who criticize them is, why are you going after 457 00:26:04,359 --> 00:26:06,400 Speaker 1: a kid? Why are you attacking a team? I mean 458 00:26:06,400 --> 00:26:08,240 Speaker 1: that's what they said about Greta, right, So I think 459 00:26:08,240 --> 00:26:11,679 Speaker 1: they're actually using them as basically human shields, which is 460 00:26:11,680 --> 00:26:13,600 Speaker 1: exactly what they did in the pandemic too. I mean, 461 00:26:13,640 --> 00:26:16,920 Speaker 1: these are people who shamelessly abused and use kids for 462 00:26:16,960 --> 00:26:21,760 Speaker 1: their political agendas during the pandemic. They had no problem 463 00:26:23,840 --> 00:26:28,800 Speaker 1: using children as the punching bags for pandemic policy, and 464 00:26:28,840 --> 00:26:31,479 Speaker 1: they kept saying, well, kids are resilient, they'll get over it. 465 00:26:31,800 --> 00:26:34,200 Speaker 1: We have to protect grandma. So we're going to make 466 00:26:34,240 --> 00:26:36,359 Speaker 1: sure that kids have to go to school in a 467 00:26:36,400 --> 00:26:39,240 Speaker 1: mask where they have to attend zoom classes for two years. 468 00:26:39,520 --> 00:26:41,800 Speaker 1: And they were the ones who were most harmed by 469 00:26:41,880 --> 00:26:44,640 Speaker 1: all of these restrictions, while a lot of adults got 470 00:26:44,640 --> 00:26:48,320 Speaker 1: to even the ones with the most neuroses, got to 471 00:26:48,480 --> 00:26:50,800 Speaker 1: live out more normal lives than their kids did. And 472 00:26:50,840 --> 00:26:54,199 Speaker 1: there's something really sickening about that. And I think the 473 00:26:54,280 --> 00:27:00,440 Speaker 1: same thing is happening with other political calcula. So we're 474 00:27:00,440 --> 00:27:02,320 Speaker 1: gonna have no, there's not good. There's gonna be a 475 00:27:02,359 --> 00:27:04,200 Speaker 1: new Greta. I didn't mean. What's this person's name again? 476 00:27:04,240 --> 00:27:09,440 Speaker 1: By the way, I didn't Sophia Keianni, Sophia. Check her out? 477 00:27:09,760 --> 00:27:11,640 Speaker 1: How do you spell that? I've never I've never heard 478 00:27:11,640 --> 00:27:16,920 Speaker 1: of kay okay i a and and I I believe 479 00:27:20,040 --> 00:27:23,879 Speaker 1: she's a cuter version of Greta. And she's got so basically, 480 00:27:23,920 --> 00:27:26,200 Speaker 1: they have they have a they they've now they've decided 481 00:27:26,200 --> 00:27:28,720 Speaker 1: that the spokesperson for a climate catastrophe it's going to 482 00:27:28,800 --> 00:27:33,280 Speaker 1: be a a young person who is um better looking 483 00:27:33,720 --> 00:27:38,800 Speaker 1: is basically she's the new upgraded model. Wow, I'd never 484 00:27:38,840 --> 00:27:40,800 Speaker 1: I'd never heard of this before, but I will have 485 00:27:40,840 --> 00:27:42,840 Speaker 1: to I'll have to check this out. I by the way, 486 00:27:43,000 --> 00:27:47,200 Speaker 1: I every adult and I mean this, every single adult, CNN, 487 00:27:47,200 --> 00:27:50,119 Speaker 1: everywhere else who sat down and had I did interviews. 488 00:27:50,160 --> 00:27:52,600 Speaker 1: Let's go to Thunberg. I do not, I refuse, I 489 00:27:52,600 --> 00:27:55,439 Speaker 1: do not take them seriously on anything like to me. 490 00:27:55,560 --> 00:27:57,800 Speaker 1: To me, it's the equivalent they might as well have 491 00:27:57,840 --> 00:28:02,000 Speaker 1: sat down and and interviewed you know, a chipmunk or 492 00:28:02,040 --> 00:28:04,439 Speaker 1: like a tortoise or something like. It's just what are 493 00:28:04,480 --> 00:28:07,560 Speaker 1: you doing? You're asking a sixteen year old about global 494 00:28:07,640 --> 00:28:11,560 Speaker 1: economic and environmental policy. It was it was truly insane, 495 00:28:11,920 --> 00:28:14,520 Speaker 1: you know, but you'll appreciate this. I remember I said 496 00:28:14,560 --> 00:28:17,439 Speaker 1: that that adults who listened to Greta when she was 497 00:28:17,440 --> 00:28:19,719 Speaker 1: doing her toward the US should be ashamed of how 498 00:28:19,760 --> 00:28:23,280 Speaker 1: stupid they are. And a former Fox host, I will 499 00:28:23,280 --> 00:28:24,920 Speaker 1: say that, a former host not say we're still there, 500 00:28:25,119 --> 00:28:27,320 Speaker 1: started shouting at me, saying that I was child bashing. 501 00:28:28,480 --> 00:28:32,040 Speaker 1: So actually fell into the fell into the left wing 502 00:28:32,119 --> 00:28:34,359 Speaker 1: game of no, no, I'm making fun of the adults. 503 00:28:34,359 --> 00:28:35,560 Speaker 1: First of all, I could have made fun of the 504 00:28:35,680 --> 00:28:37,560 Speaker 1: you know, the child. She was like seventeen or eighteen 505 00:28:37,520 --> 00:28:39,240 Speaker 1: at the time. But I was actually just saying, adults, 506 00:28:39,320 --> 00:28:40,959 Speaker 1: listen to the person are stupid. But some people are 507 00:28:41,000 --> 00:28:44,560 Speaker 1: so desperate to virtue signal their defense of children when 508 00:28:44,600 --> 00:28:46,680 Speaker 1: it comes to Greta and you know, all this stuff, 509 00:28:46,800 --> 00:28:48,400 Speaker 1: not with the things that children do need to be 510 00:28:48,400 --> 00:28:53,160 Speaker 1: protected from, masking transgender ideology, sexualization in schools, but want 511 00:28:53,160 --> 00:28:55,200 Speaker 1: to protect them from no one's can say anything mean 512 00:28:55,240 --> 00:28:57,160 Speaker 1: about Greta because she was a kid. It was crazy. 513 00:28:57,200 --> 00:29:00,840 Speaker 1: The whole thing was insane. It was absolutely nuts. It 514 00:29:01,000 --> 00:29:03,600 Speaker 1: just speaks to this larger trend of the left really 515 00:29:03,640 --> 00:29:06,880 Speaker 1: trying to steal in a sense, away from kids. They're 516 00:29:06,920 --> 00:29:11,120 Speaker 1: on social media younger than ever. They're apparently involved in 517 00:29:11,160 --> 00:29:15,160 Speaker 1: political activism on a national, if not worldwide stage, younger 518 00:29:15,200 --> 00:29:18,960 Speaker 1: than ever. They can pick their gender, they're supposed to 519 00:29:18,960 --> 00:29:22,880 Speaker 1: be exposed to books that have pornography in them. They're 520 00:29:22,880 --> 00:29:25,800 Speaker 1: supposed to bear the weight of the pandemic on their shoulders. 521 00:29:25,960 --> 00:29:29,560 Speaker 1: I mean again, it's not a surprise that you have 522 00:29:29,720 --> 00:29:32,880 Speaker 1: this massive mental health crisis among young people, and we 523 00:29:32,960 --> 00:29:36,280 Speaker 1: haven't even gotten into the pharmaceutical questions. Involved with things 524 00:29:36,720 --> 00:29:40,680 Speaker 1: like antidepressants and birth control that young women are on 525 00:29:40,840 --> 00:29:44,920 Speaker 1: more than ever. But the pathologies that exist among a 526 00:29:45,000 --> 00:29:49,360 Speaker 1: really large segment of the population is harming kids really significantly. 527 00:29:49,400 --> 00:29:51,400 Speaker 1: I want to ask you actually about the pharma side 528 00:29:51,400 --> 00:29:53,120 Speaker 1: of this in just a second, so let's come back 529 00:29:53,160 --> 00:29:56,000 Speaker 1: to that amber. But the Tunnel the Towers Foundation does 530 00:29:56,040 --> 00:29:59,760 Speaker 1: amazing work and everybody should know about how they are 531 00:30:00,000 --> 00:30:03,520 Speaker 1: honoring America's heroes. The Foundation honors fallen and severely injured 532 00:30:03,560 --> 00:30:06,680 Speaker 1: heroes and their families with mortgage free homes. This year alone, 533 00:30:06,760 --> 00:30:09,320 Speaker 1: hundreds of gold star and fallen first responder families with 534 00:30:09,360 --> 00:30:12,600 Speaker 1: young children and our nation's most severely injured veterans and 535 00:30:12,600 --> 00:30:16,360 Speaker 1: first responders are receiving homes. More than five hundred homeless 536 00:30:16,400 --> 00:30:19,680 Speaker 1: veterans received housing and services last year, and more than 537 00:30:19,680 --> 00:30:23,440 Speaker 1: fifteen hundred are receiving houses and services this year. In 538 00:30:23,480 --> 00:30:25,520 Speaker 1: this coming Memorial Day, all the brave men and women 539 00:30:25,560 --> 00:30:27,800 Speaker 1: low since nine eleven and the War on Terror having 540 00:30:27,800 --> 00:30:29,680 Speaker 1: their names read aloud in a Tunne ofth of Towers 541 00:30:29,680 --> 00:30:32,160 Speaker 1: ceremony in our nation's capital. Through the Tunne of the 542 00:30:32,200 --> 00:30:35,360 Speaker 1: Towers nine eleven Institute, the Foundation is educating kids in 543 00:30:35,400 --> 00:30:38,720 Speaker 1: kindergarten through twelfth grade about our nation's darkest day, joined 544 00:30:38,720 --> 00:30:40,720 Speaker 1: Tunne Ofth the Towers on its mission to do good, 545 00:30:41,040 --> 00:30:44,040 Speaker 1: please help America to never forget it's great as heroes. 546 00:30:44,320 --> 00:30:46,400 Speaker 1: Join me in donating eleven dollars a month to Tunneth 547 00:30:46,400 --> 00:30:48,840 Speaker 1: the Towers at t twot dot org. That's t the 548 00:30:48,920 --> 00:30:56,160 Speaker 1: number two t dot org. Big Farmer. It's interesting there 549 00:30:56,320 --> 00:30:59,280 Speaker 1: used to be this left wing criticism of big pharma 550 00:30:59,360 --> 00:31:02,360 Speaker 1: because they were like profiteers and corporatism and all this stuff. 551 00:31:02,400 --> 00:31:04,440 Speaker 1: And then the pandemic came along and big Pharma was 552 00:31:04,480 --> 00:31:07,719 Speaker 1: not to be questioned under any circumstances. And we know 553 00:31:07,760 --> 00:31:12,280 Speaker 1: what happened there. And now it seems like on the 554 00:31:12,360 --> 00:31:16,440 Speaker 1: right you're hearing criticisms of just the over medication of 555 00:31:16,480 --> 00:31:20,000 Speaker 1: well all people, but particularly young women. And I hear 556 00:31:20,040 --> 00:31:21,600 Speaker 1: this from the right. I don't hear this from the left. 557 00:31:21,600 --> 00:31:26,479 Speaker 1: Why is that while the left is a big portion 558 00:31:26,560 --> 00:31:30,920 Speaker 1: of the group that's doing it. And I think it's 559 00:31:31,000 --> 00:31:36,240 Speaker 1: because the left has been more overwhelmingly accepting of the 560 00:31:36,360 --> 00:31:42,120 Speaker 1: idea that intense emotions of any kind are actually illness 561 00:31:42,320 --> 00:31:44,760 Speaker 1: that needs to be treated with medication. And I'm not 562 00:31:44,800 --> 00:31:47,240 Speaker 1: sure exactly why that is. I don't know if it's 563 00:31:47,320 --> 00:31:50,800 Speaker 1: because liberal adults are also more likely to be on 564 00:31:50,840 --> 00:31:55,120 Speaker 1: these medications, so maybe it's become normalized for them. But shockingly, 565 00:31:55,160 --> 00:31:57,840 Speaker 1: the New York Times actually did a really in depth 566 00:31:57,880 --> 00:32:03,280 Speaker 1: investigation on the prescription of ssries for young women. It 567 00:32:03,440 --> 00:32:06,200 Speaker 1: was about three months ago, i want to say, and 568 00:32:06,240 --> 00:32:09,200 Speaker 1: they talked about the massive side effects that can come 569 00:32:09,280 --> 00:32:13,400 Speaker 1: from using these drugs, mostly that it really messes with 570 00:32:13,600 --> 00:32:17,760 Speaker 1: the firing of various hormones in your body and the 571 00:32:17,840 --> 00:32:23,080 Speaker 1: way that you react to situations emotionally, and basically every 572 00:32:23,120 --> 00:32:26,040 Speaker 1: part of your emotional response gets worked when you're on 573 00:32:26,120 --> 00:32:29,440 Speaker 1: these drugs for any significant period of time. It's why 574 00:32:29,480 --> 00:32:32,960 Speaker 1: you see these tiktoks and these really flatly affected young 575 00:32:33,000 --> 00:32:38,000 Speaker 1: women talking in monotone voices. They're unable to really express 576 00:32:38,080 --> 00:32:41,360 Speaker 1: real emotion, and it's because they're on any number of 577 00:32:41,560 --> 00:32:45,360 Speaker 1: cocktail of medications because they were told that being really 578 00:32:45,400 --> 00:32:49,360 Speaker 1: sad or angry or angry was actually a problem with 579 00:32:49,440 --> 00:32:53,440 Speaker 1: the chemical imbalance in their brain. And there's questions now 580 00:32:53,480 --> 00:32:58,240 Speaker 1: as to whether that understanding of depression or anxiety was 581 00:32:58,320 --> 00:33:01,480 Speaker 1: correct as well. The medical community is currently kind of 582 00:33:01,520 --> 00:33:07,840 Speaker 1: debating that understanding of what depression and anxiety actually are. 583 00:33:08,360 --> 00:33:11,840 Speaker 1: And I just think, you know, outside of the side effects, 584 00:33:12,040 --> 00:33:14,440 Speaker 1: maybe there's there's a lot of people who do really 585 00:33:14,480 --> 00:33:17,600 Speaker 1: need these, But when you're prescribing it to anyone who 586 00:33:17,680 --> 00:33:21,280 Speaker 1: just who says to you that you are, you say 587 00:33:21,320 --> 00:33:23,680 Speaker 1: to your therapist, for example, that you're feeling really sad 588 00:33:23,720 --> 00:33:26,360 Speaker 1: about something that happened at school, it seems like the 589 00:33:26,400 --> 00:33:30,640 Speaker 1: default is just to prescribe something. And from personal experience, 590 00:33:31,760 --> 00:33:34,120 Speaker 1: I had a great loss in my family and I 591 00:33:34,160 --> 00:33:37,880 Speaker 1: decided to go speak to someone just to kind of 592 00:33:37,880 --> 00:33:40,680 Speaker 1: have someone to talk to outside of the situation. I 593 00:33:40,760 --> 00:33:44,200 Speaker 1: didn't feel like I, you know, wasn't that wasn't handling 594 00:33:44,200 --> 00:33:47,080 Speaker 1: it well, so to speak. But the first thing that 595 00:33:47,120 --> 00:33:50,520 Speaker 1: the therapist asked me was if I thought that I 596 00:33:50,560 --> 00:33:55,000 Speaker 1: needed to be on depression medication. And I just was 597 00:33:55,280 --> 00:33:58,400 Speaker 1: flummixed by this. I said, well, I'm grieving, you know, 598 00:33:58,480 --> 00:34:01,600 Speaker 1: something really terrible has just happen. But I don't think 599 00:34:01,600 --> 00:34:04,400 Speaker 1: that I'm sick, Like I think it's normal to be 600 00:34:04,560 --> 00:34:09,000 Speaker 1: really sad and to have some difficult emotions when you're 601 00:34:09,000 --> 00:34:11,319 Speaker 1: dealing with the loss of a family member. And I 602 00:34:11,360 --> 00:34:13,960 Speaker 1: just thought that was so strange. That that was the 603 00:34:14,000 --> 00:34:17,879 Speaker 1: first question that was asked before any other assessment of 604 00:34:17,920 --> 00:34:20,879 Speaker 1: my health or mental health. And I if that's what's 605 00:34:20,920 --> 00:34:24,520 Speaker 1: happening in therapist's office across the country, that's pretty terrifying. 606 00:34:25,800 --> 00:34:28,400 Speaker 1: I think that's I think it's something that requires a 607 00:34:28,400 --> 00:34:33,480 Speaker 1: whole lot more conversation and people need to focus in 608 00:34:33,560 --> 00:34:36,719 Speaker 1: on this because, I mean, the numbering something is off. 609 00:34:37,360 --> 00:34:39,439 Speaker 1: I know people will say maybe it's you know, church 610 00:34:39,560 --> 00:34:43,200 Speaker 1: or religious attendance so down, so down, or the whole 611 00:34:43,280 --> 00:34:45,799 Speaker 1: range of things. Social media, I think is deeply unhelpful. 612 00:34:47,320 --> 00:34:52,480 Speaker 1: I think the reinforcement of narratives of negativity constantly, whether 613 00:34:52,520 --> 00:34:57,280 Speaker 1: it's through the politics of racial grievance, or the catastrophism 614 00:34:57,320 --> 00:35:00,320 Speaker 1: of climate change, or any number of things, where people 615 00:35:00,320 --> 00:35:05,279 Speaker 1: are just constantly being trained to be unhappy really and 616 00:35:05,320 --> 00:35:08,480 Speaker 1: they don't realize it, but their brain, their neural pathways 617 00:35:08,480 --> 00:35:10,799 Speaker 1: there was going through these narratives of nothing is fair, 618 00:35:10,880 --> 00:35:14,120 Speaker 1: everything is rigged, everyone's against me, I'm so unhappy, everything sucks. 619 00:35:14,840 --> 00:35:16,480 Speaker 1: If you train your brain to think that way all 620 00:35:16,520 --> 00:35:20,080 Speaker 1: the time, turns out that's how you think about your existence. 621 00:35:21,400 --> 00:35:23,840 Speaker 1: You're spot on, buck. I just read something in this 622 00:35:23,960 --> 00:35:26,279 Speaker 1: vein in the Wall Street Journal yesterday where they were 623 00:35:26,280 --> 00:35:29,879 Speaker 1: talking about the difference between why liberals tend to have 624 00:35:30,320 --> 00:35:33,839 Speaker 1: higher levels of dissatisfaction with their lives and or mental 625 00:35:33,880 --> 00:35:37,560 Speaker 1: illness versus conservatives, And it's because of this mental framework 626 00:35:37,680 --> 00:35:40,560 Speaker 1: of viewing everything as being outside of your control. You're 627 00:35:40,600 --> 00:35:43,360 Speaker 1: trapped in a system that doesn't want you to succeed. 628 00:35:43,440 --> 00:35:47,440 Speaker 1: Everything is working against you. Whereas conservatives will tend to 629 00:35:47,480 --> 00:35:50,319 Speaker 1: say they tend to look at things more through a 630 00:35:50,400 --> 00:35:53,600 Speaker 1: lens of personal responsibility. They recognize that there are things 631 00:35:53,600 --> 00:35:56,160 Speaker 1: out of their control, but they try to focus just 632 00:35:56,280 --> 00:35:58,520 Speaker 1: on the things that they can affect in their life, 633 00:35:58,640 --> 00:36:01,919 Speaker 1: and they tend to brush shot losses as not part 634 00:36:01,960 --> 00:36:06,080 Speaker 1: of this larger systemic pattern that's intended to destroy them 635 00:36:06,160 --> 00:36:09,520 Speaker 1: or keep them down. And these patterns of negative thinking 636 00:36:09,560 --> 00:36:12,880 Speaker 1: on the left do really reinforce themselves and stack on 637 00:36:13,000 --> 00:36:15,759 Speaker 1: to each other to the point where they get into 638 00:36:15,800 --> 00:36:19,040 Speaker 1: this really deep hole that's almost impossible to dig out of. 639 00:36:20,040 --> 00:36:23,560 Speaker 1: And Rafe check out her book The Snowflakes Revolt and 640 00:36:23,560 --> 00:36:27,320 Speaker 1: look for her work at The Washington or at the 641 00:36:27,360 --> 00:36:29,800 Speaker 1: Spectator rather, and she's the Washington editor. Amber. Thank you 642 00:36:29,880 --> 00:36:33,080 Speaker 1: so much for being well. Us appreciate it. Thank you Buck,