1 00:00:07,600 --> 00:00:12,320 Speaker 1: Mr garbutsch Off, tear down this wall. Either you're with 2 00:00:12,480 --> 00:00:15,760 Speaker 1: us or you were with the terrorists. If you've got 3 00:00:15,800 --> 00:00:18,680 Speaker 1: healthcare already, then you can keep your plan. If you're 4 00:00:18,720 --> 00:00:22,080 Speaker 1: satisfied with Trump is not a president of the United States, 5 00:00:22,440 --> 00:00:26,400 Speaker 1: take it to a bank. Together. We will make America 6 00:00:26,920 --> 00:00:32,120 Speaker 1: great again. We'll never sharender. It's what you've been waiting 7 00:00:32,159 --> 00:00:36,120 Speaker 1: for all day. Buck Sexton with America now joined the 8 00:00:36,159 --> 00:00:40,160 Speaker 1: conversation called Buck toll free at eight four four nine 9 00:00:40,240 --> 00:00:44,440 Speaker 1: hundred Buck. That's eight four four nine hundred two, eight 10 00:00:44,520 --> 00:00:50,480 Speaker 1: to five, sharp mind, strong voice, Buck Sexton, Team Buck, 11 00:00:50,520 --> 00:00:53,040 Speaker 1: Welcome to the freedom hunt. It's made in America week. 12 00:00:53,120 --> 00:01:02,240 Speaker 1: Everybody Donald Trump pushing American products, companies and yes, American ingenuity. Um, 13 00:01:02,440 --> 00:01:09,240 Speaker 1: you'll notice that today despite Friday's outrage and and what 14 00:01:09,360 --> 00:01:15,119 Speaker 1: happened last week with a certain Russia story, which I'm 15 00:01:15,120 --> 00:01:17,280 Speaker 1: gonna try not to spend too much time on to day, 16 00:01:17,280 --> 00:01:19,120 Speaker 1: because I feel like everyone spends all their time on 17 00:01:19,160 --> 00:01:20,800 Speaker 1: this in the media these days, and where do we 18 00:01:20,840 --> 00:01:24,840 Speaker 1: get with any of it? Not very far? In fact, 19 00:01:24,880 --> 00:01:28,080 Speaker 1: I think there was a sense of relief and a 20 00:01:28,120 --> 00:01:32,880 Speaker 1: lot of people who are sick and tired of the 21 00:01:32,920 --> 00:01:37,920 Speaker 1: constant Russia headlines view the Trump administration focus on the 22 00:01:38,000 --> 00:01:44,880 Speaker 1: agenda on Made in America as a welcome respite and 23 00:01:44,880 --> 00:01:47,800 Speaker 1: and not just a rest. It's much more important. This 24 00:01:47,960 --> 00:01:53,400 Speaker 1: is more important. This matters. Uh, this is helpful to 25 00:01:53,440 --> 00:01:59,080 Speaker 1: the country. We want a more robust manufacturing sector. We 26 00:01:59,120 --> 00:02:02,200 Speaker 1: want better jobs. I mean, the unemployment rate right now 27 00:02:02,200 --> 00:02:07,080 Speaker 1: I think is four point seven percent, but workforce participation 28 00:02:08,000 --> 00:02:12,480 Speaker 1: is low. And what are those jobs? And I'll talk 29 00:02:12,480 --> 00:02:15,359 Speaker 1: to you a bit about that. So it was it 30 00:02:15,440 --> 00:02:17,280 Speaker 1: was I have to say, it was nice today. It 31 00:02:17,480 --> 00:02:23,120 Speaker 1: was relaxing. It was reassuring that there were stories out there. 32 00:02:23,120 --> 00:02:27,359 Speaker 1: There was something to talk about other than some crazy 33 00:02:27,520 --> 00:02:30,799 Speaker 1: conspiracy about how the Kremlin is really running America or something, 34 00:02:30,919 --> 00:02:33,120 Speaker 1: or the Kremlin through the U S election, whatever it 35 00:02:33,200 --> 00:02:36,400 Speaker 1: may be. Um, it was nice to be able to 36 00:02:36,440 --> 00:02:40,640 Speaker 1: focus a bit on policy now. On the positive side 37 00:02:40,639 --> 00:02:43,800 Speaker 1: of that, you have Made in America. You have American 38 00:02:43,919 --> 00:02:48,640 Speaker 1: jobs and manufacturing and companies and progress and international trade agreements. 39 00:02:49,880 --> 00:02:53,440 Speaker 1: On the not so positive, but we need to look 40 00:02:53,480 --> 00:02:55,360 Speaker 1: at it and spend some time, aren't you. Of course, 41 00:02:55,440 --> 00:03:00,880 Speaker 1: have the Republican Healthcare Repeal and Reply ACE effort, which 42 00:03:00,919 --> 00:03:03,560 Speaker 1: is not a repeal and replace effort. Really it's a 43 00:03:05,120 --> 00:03:11,480 Speaker 1: modify and shift around effort. But better than nothing. I 44 00:03:11,480 --> 00:03:13,880 Speaker 1: would agree with those who say that it is better 45 00:03:13,919 --> 00:03:16,400 Speaker 1: than nothing. It's better than an alternative, which is just 46 00:03:16,480 --> 00:03:21,560 Speaker 1: a continuation of Obamacare as is. But you have the president. 47 00:03:21,960 --> 00:03:25,079 Speaker 1: Let's first talk about the happy side of things, or 48 00:03:25,120 --> 00:03:31,680 Speaker 1: the positive the encouraging tone from the administration on American 49 00:03:31,800 --> 00:03:37,560 Speaker 1: jobs companies manufacturing made in America a label that has 50 00:03:37,840 --> 00:03:40,480 Speaker 1: a degree of pride and tie of course, and ties 51 00:03:40,520 --> 00:03:44,560 Speaker 1: into much of the messaging from this administration from the start, 52 00:03:44,600 --> 00:03:47,720 Speaker 1: which is that it's it's okay to be proud of 53 00:03:47,760 --> 00:03:51,160 Speaker 1: America and what we do and what we make in America. 54 00:03:51,480 --> 00:03:53,920 Speaker 1: And maybe it is time to look at some of 55 00:03:53,920 --> 00:03:57,240 Speaker 1: the agreements we have, some of our economic relationships with 56 00:03:57,360 --> 00:03:59,920 Speaker 1: fresh eyes. Maybe some of those very old trade agree 57 00:04:00,000 --> 00:04:03,640 Speaker 1: it's including NAFTA, need to be updated to better reflect 58 00:04:04,160 --> 00:04:08,880 Speaker 1: the current circumstances of the US economy. And it's okay 59 00:04:08,920 --> 00:04:13,480 Speaker 1: to try and help American citizens and Americans in the 60 00:04:13,520 --> 00:04:19,479 Speaker 1: workforce and in the various manufacturing sectors, even if it 61 00:04:19,560 --> 00:04:22,320 Speaker 1: means that we put another country, perhaps as something of 62 00:04:22,360 --> 00:04:27,680 Speaker 1: a less advantageous position. We don't have to suffer. We 63 00:04:27,720 --> 00:04:30,599 Speaker 1: don't have to be manufacturing martyrs, right, We're allowed to 64 00:04:30,640 --> 00:04:34,400 Speaker 1: try and better our situation, and our government should be 65 00:04:34,400 --> 00:04:36,960 Speaker 1: working to better our situation too. This is I think 66 00:04:37,000 --> 00:04:40,320 Speaker 1: the overall messaging from the administration, and maybe we can 67 00:04:40,320 --> 00:04:42,680 Speaker 1: hear and so I will get into healthcare. But that's 68 00:04:42,680 --> 00:04:46,600 Speaker 1: that's a little bit more. Uh, I'm a little more 69 00:04:46,680 --> 00:04:50,960 Speaker 1: sour on that circumstance. But first, yeah, happy stuff. Let's 70 00:04:51,000 --> 00:04:55,839 Speaker 1: talk about the president optimistic better than it's not happy. 71 00:04:55,839 --> 00:04:59,800 Speaker 1: It's not happy per se. It's optimistic. An economic optimism 72 00:04:59,839 --> 00:05:03,640 Speaker 1: come from the President United States, which I'm everyone that 73 00:05:03,760 --> 00:05:07,200 Speaker 1: I speak to here in New York and in my 74 00:05:07,200 --> 00:05:12,000 Speaker 1: my circles, including Ball Street types and people that work 75 00:05:12,040 --> 00:05:15,279 Speaker 1: at huge companies, Like, look, this stock market is doing 76 00:05:15,320 --> 00:05:19,159 Speaker 1: really well. The economy is actually in good shape. The 77 00:05:19,240 --> 00:05:24,120 Speaker 1: prognostications about Trump destroying the economy within months in office 78 00:05:24,520 --> 00:05:28,080 Speaker 1: just complete nonsense. In fact, you can point to a 79 00:05:28,080 --> 00:05:31,679 Speaker 1: lot of indicators and say that Trump has been good 80 00:05:31,720 --> 00:05:38,159 Speaker 1: for jobs and and companies and manufacturing specifically. But here's 81 00:05:38,240 --> 00:05:40,040 Speaker 1: here's what the President had to say. Remember, it's Made 82 00:05:40,040 --> 00:05:42,320 Speaker 1: in America week. They've got a showcase going on down 83 00:05:42,320 --> 00:05:45,920 Speaker 1: in d C. There's a feeling of optimism. And here's 84 00:05:45,960 --> 00:05:51,760 Speaker 1: what the President had to say about that made in 85 00:05:51,800 --> 00:05:54,000 Speaker 1: the USA. Remember the old days, they used to have 86 00:05:54,080 --> 00:05:57,039 Speaker 1: made in the USA, made in America, but made in 87 00:05:57,040 --> 00:05:59,600 Speaker 1: the USA. We're gonna start doing that again. We're gonna 88 00:05:59,640 --> 00:06:02,600 Speaker 1: put that brand on our product because it means it's 89 00:06:02,600 --> 00:06:06,800 Speaker 1: the best. And he went on to say that his administration, 90 00:06:06,839 --> 00:06:10,040 Speaker 1: of course, top to bottom and through all of its 91 00:06:10,120 --> 00:06:14,880 Speaker 1: various agencies and branches and departments, is supportive of this effort. 92 00:06:16,040 --> 00:06:20,320 Speaker 1: Every member of my administration shares the same goal to 93 00:06:20,560 --> 00:06:24,800 Speaker 1: provide a level playing field for American workers and for 94 00:06:24,839 --> 00:06:29,039 Speaker 1: American industry. We want to build, create, and grow more 95 00:06:29,120 --> 00:06:34,680 Speaker 1: products in our country using American labor, American goods, and 96 00:06:34,800 --> 00:06:39,680 Speaker 1: American grit. When we purchased the profits stay here, the 97 00:06:39,800 --> 00:06:44,880 Speaker 1: revenue stays here, and the jobs, maybe most importantly of all, 98 00:06:45,000 --> 00:06:50,480 Speaker 1: they stay right here in the USA. So the messaging 99 00:06:50,520 --> 00:06:53,279 Speaker 1: from the President is powerful, and I like the I 100 00:06:53,320 --> 00:06:56,839 Speaker 1: like the optimism. I like the positive tone, and to 101 00:06:56,920 --> 00:06:59,920 Speaker 1: have a president who is clearly not just a friend 102 00:07:00,040 --> 00:07:02,680 Speaker 1: to big business, because I think it's important to remember 103 00:07:02,720 --> 00:07:05,719 Speaker 1: that democrats, big government, and big business go hand in hand. 104 00:07:05,720 --> 00:07:09,800 Speaker 1: They like each other a lot. Actually, you see, government 105 00:07:09,840 --> 00:07:16,640 Speaker 1: regulation is anti competitive because larger, more established entities are 106 00:07:16,800 --> 00:07:18,800 Speaker 1: much more likely to be able to bear the brunt 107 00:07:18,960 --> 00:07:22,680 Speaker 1: of the costs and the slowdowns and the problems from 108 00:07:22,720 --> 00:07:27,240 Speaker 1: government regulation. So it crowds out the smaller players, the upstarts. 109 00:07:27,840 --> 00:07:30,640 Speaker 1: It is the small business owner, It is the striver. 110 00:07:31,040 --> 00:07:33,160 Speaker 1: It is the one who is struggling and trying to 111 00:07:33,200 --> 00:07:36,240 Speaker 1: make it. Those are the people. Those are the businesses 112 00:07:36,600 --> 00:07:41,040 Speaker 1: and the entrepreneurs and the employees and owners who are 113 00:07:41,160 --> 00:07:46,120 Speaker 1: most harmed by a government that views itself as a 114 00:07:46,320 --> 00:07:53,960 Speaker 1: necessary intermediary between the market and the UH those who 115 00:07:54,360 --> 00:07:56,840 Speaker 1: buy in the market, the market and customers, right, the 116 00:07:56,880 --> 00:08:01,280 Speaker 1: government has to step in between the supplier and the buyer. 117 00:08:02,400 --> 00:08:05,120 Speaker 1: So as we look at what's going on with the 118 00:08:05,120 --> 00:08:08,520 Speaker 1: Trump administration, I think that that's important to keep in 119 00:08:08,560 --> 00:08:11,840 Speaker 1: mind that he's pushing for manufacturing, but he's also pushing 120 00:08:11,880 --> 00:08:18,320 Speaker 1: for UH business growth, small businesses, and this is at 121 00:08:18,400 --> 00:08:25,320 Speaker 1: least bipartisan rhetorically speaking, bipartisan area of faith both sides 122 00:08:25,360 --> 00:08:27,600 Speaker 1: believe strongly and small businesses. They say that the engine. 123 00:08:27,600 --> 00:08:29,280 Speaker 1: Every time there's an election, you'll hear them say that 124 00:08:29,320 --> 00:08:33,280 Speaker 1: the engine of the economy but Democrats make it, especially 125 00:08:33,280 --> 00:08:36,439 Speaker 1: with their regulations and taxation, incredibly hard for those small 126 00:08:36,480 --> 00:08:41,040 Speaker 1: businesses to succeed. But a big focus here because Trump's 127 00:08:41,040 --> 00:08:44,640 Speaker 1: talking about trade and international trade agreements and and made 128 00:08:44,640 --> 00:08:48,960 Speaker 1: in USA and making more stuff here. A big part 129 00:08:49,000 --> 00:08:52,200 Speaker 1: of all of this is, like I said, the messaging 130 00:08:52,240 --> 00:08:54,240 Speaker 1: from the top. It's a signal to the market, a 131 00:08:54,280 --> 00:09:00,240 Speaker 1: signal to employers, to corporations that they have a friendly year, 132 00:09:00,280 --> 00:09:03,679 Speaker 1: and perhaps a less stern hand in the White House 133 00:09:05,000 --> 00:09:09,319 Speaker 1: um in terms of interfering in their affairs unnecessarily, and 134 00:09:09,400 --> 00:09:12,000 Speaker 1: also more of an advocate on the global stage. These 135 00:09:12,040 --> 00:09:14,000 Speaker 1: are all good things. Now here's where things get a 136 00:09:14,040 --> 00:09:19,199 Speaker 1: little more complicated and difficult. The reality of US manufacturing 137 00:09:20,240 --> 00:09:24,280 Speaker 1: is that we are more productive than ever before. The 138 00:09:24,320 --> 00:09:28,040 Speaker 1: truth about US manufacturing is that we are making a 139 00:09:28,040 --> 00:09:31,640 Speaker 1: whole lot of stuff, and our output, if you make 140 00:09:31,679 --> 00:09:35,839 Speaker 1: it in constant dollar, stretching back for for thirty years, 141 00:09:35,840 --> 00:09:40,439 Speaker 1: the highest it's ever been. So we're actually doing really 142 00:09:40,480 --> 00:09:43,440 Speaker 1: well in terms of what we make and selling it 143 00:09:43,520 --> 00:09:47,880 Speaker 1: on the world stage. But there have been some shifts. 144 00:09:47,960 --> 00:09:51,600 Speaker 1: There have been some changes. There have been disruptions in industries, 145 00:09:51,600 --> 00:09:56,280 Speaker 1: most notably for well people in the Detroit area and 146 00:09:56,320 --> 00:09:59,040 Speaker 1: some of the other rust belt areas of the country. 147 00:09:59,160 --> 00:10:00,720 Speaker 1: Are some of the rust belt areas of the country. 148 00:10:00,760 --> 00:10:04,520 Speaker 1: There the declines in automotive manufacturing in some of the 149 00:10:04,559 --> 00:10:08,240 Speaker 1: major industries that are iconic, that have a residence in 150 00:10:08,280 --> 00:10:12,960 Speaker 1: the American mind, that are more than just businesses. They 151 00:10:12,960 --> 00:10:17,480 Speaker 1: feel like they're somehow part of the American industrial soul. Right, 152 00:10:17,760 --> 00:10:22,160 Speaker 1: they have withered away a bit, in some cases gone away. 153 00:10:22,240 --> 00:10:26,240 Speaker 1: Entirely depends right. General motors are still alive. There are 154 00:10:26,280 --> 00:10:29,679 Speaker 1: still US men US based automotive companies, but they are 155 00:10:29,679 --> 00:10:32,920 Speaker 1: not what they used to be. UM. That's not to 156 00:10:32,960 --> 00:10:34,640 Speaker 1: say that then I'm making a whole lot of cars though, 157 00:10:34,880 --> 00:10:38,080 Speaker 1: It's just they're not employing people in the same numbers. 158 00:10:38,440 --> 00:10:42,600 Speaker 1: You look at textiles, for example, and UM, I actually 159 00:10:42,600 --> 00:10:45,679 Speaker 1: know quite well some people who work in the textile 160 00:10:45,760 --> 00:10:49,520 Speaker 1: and clothing manufacturing side of things, and it's just almost 161 00:10:49,520 --> 00:10:52,480 Speaker 1: impossible for the U. It's it's not that there's some 162 00:10:52,559 --> 00:10:56,679 Speaker 1: terrible regulation that's stopping T shirts from being made in 163 00:10:56,720 --> 00:11:00,160 Speaker 1: the USA. It's very hard to compete because a T 164 00:11:00,320 --> 00:11:07,440 Speaker 1: shirt that's made in Vietnam or Malaysia or Peru um 165 00:11:07,679 --> 00:11:10,440 Speaker 1: is just as good as a T shirt that's gonna 166 00:11:10,440 --> 00:11:12,840 Speaker 1: be made here. We don't have a competitive advantage in 167 00:11:12,840 --> 00:11:15,000 Speaker 1: some of these fields, so textiles where they're already razor 168 00:11:15,040 --> 00:11:19,040 Speaker 1: thin margins, very hard for there to be a return 169 00:11:19,240 --> 00:11:21,240 Speaker 1: of some of that to America. And look, there's a 170 00:11:21,280 --> 00:11:24,600 Speaker 1: reason why you can go into Walmart. By the way, 171 00:11:24,760 --> 00:11:27,120 Speaker 1: over fourth Usuly weekend, I was doing some shopping in Walmart. 172 00:11:27,200 --> 00:11:30,560 Speaker 1: It is. It is an incredible place. It really is. 173 00:11:30,600 --> 00:11:37,559 Speaker 1: I mean, the the scale and efficiency and the amount 174 00:11:37,679 --> 00:11:41,720 Speaker 1: of consumerism that is possible in one place, I mean 175 00:11:41,800 --> 00:11:45,640 Speaker 1: all about one stop shopping, it is. It is really 176 00:11:46,040 --> 00:11:48,120 Speaker 1: a wonder of the modern world. I say, I mean 177 00:11:48,120 --> 00:11:50,800 Speaker 1: when you're in Walmart, and it's true of Kmart or 178 00:11:50,880 --> 00:11:54,439 Speaker 1: some of these other places as well. Um Or was true. 179 00:11:55,640 --> 00:11:59,640 Speaker 1: But you see the logistics and the products and it's 180 00:11:59,679 --> 00:12:02,960 Speaker 1: it's an incredible But the reason you can buy a 181 00:12:03,040 --> 00:12:05,680 Speaker 1: comfy T shirt for I don't know, five or six 182 00:12:05,720 --> 00:12:12,600 Speaker 1: bucks eight bucks is in part because of labor costs 183 00:12:12,600 --> 00:12:16,160 Speaker 1: and other parts of the world. Cotton is not particularly 184 00:12:16,200 --> 00:12:21,360 Speaker 1: expensive to to grow and harvest, and so we and 185 00:12:21,440 --> 00:12:23,240 Speaker 1: we have a great logistics in place in order to 186 00:12:23,240 --> 00:12:25,040 Speaker 1: get you these products. So what I'm trying to say 187 00:12:25,080 --> 00:12:26,640 Speaker 1: is that there are things that are not going to 188 00:12:26,840 --> 00:12:30,200 Speaker 1: change just because we want them to change. And if 189 00:12:30,200 --> 00:12:33,200 Speaker 1: we're going to talk about manufacturing and making our manufacturing 190 00:12:33,240 --> 00:12:35,000 Speaker 1: sector more robust, we have to be honest about the 191 00:12:35,000 --> 00:12:37,240 Speaker 1: fact that a lot of what's a lot of the 192 00:12:39,000 --> 00:12:42,040 Speaker 1: changes that have happened are the result a lot of 193 00:12:42,040 --> 00:12:44,920 Speaker 1: the off shoring or whatever, or there's not of bad 194 00:12:44,960 --> 00:12:46,640 Speaker 1: trade agreements. So that's a part of it, and they 195 00:12:46,800 --> 00:12:52,000 Speaker 1: certainly should be looked at. But of mechanization of increases 196 00:12:52,040 --> 00:12:56,760 Speaker 1: in technology in a lot of industries, one or one 197 00:12:56,840 --> 00:12:59,440 Speaker 1: person can do the work of what would have required 198 00:12:59,520 --> 00:13:02,240 Speaker 1: five people even a couple of decades ago, in terms 199 00:13:02,280 --> 00:13:06,960 Speaker 1: of their actual economic output. So you have fewer people 200 00:13:07,240 --> 00:13:09,600 Speaker 1: that are employed in some of these industries, even though 201 00:13:09,640 --> 00:13:14,839 Speaker 1: the industry itself maybe more productive. It's paradoxical, and now 202 00:13:14,880 --> 00:13:16,840 Speaker 1: you have to balance out. Okay, well, what do we 203 00:13:16,960 --> 00:13:19,839 Speaker 1: what do we do about this? Do you put protections 204 00:13:19,840 --> 00:13:23,080 Speaker 1: in place for workers, even if they're not dictated by 205 00:13:23,120 --> 00:13:25,240 Speaker 1: the market, but rather they just make us feel good? 206 00:13:25,240 --> 00:13:28,680 Speaker 1: I mean, do you go down the path of minimum wage, 207 00:13:28,720 --> 00:13:30,960 Speaker 1: for example, which we know doesn't help workers the way 208 00:13:31,000 --> 00:13:33,000 Speaker 1: it's intended to, but it feels good. So we do 209 00:13:33,080 --> 00:13:37,240 Speaker 1: it anyway. Do we engage in some degree of protection 210 00:13:37,280 --> 00:13:39,360 Speaker 1: is m because we just want a core of US 211 00:13:39,440 --> 00:13:42,880 Speaker 1: jobs in some industries here, even if it's not necessarily 212 00:13:42,920 --> 00:13:46,480 Speaker 1: economically sound. These are all very difficult questions. The President 213 00:13:46,559 --> 00:13:50,439 Speaker 1: mentioned when he was doing his showcase today, he spoke 214 00:13:50,520 --> 00:13:56,959 Speaker 1: specifically about shopping centers and retail employment. And this is 215 00:13:57,000 --> 00:13:59,440 Speaker 1: another area that I've been looking in doing researching, and 216 00:13:59,480 --> 00:14:04,640 Speaker 1: I have UH, I have close associates who work in 217 00:14:04,679 --> 00:14:07,880 Speaker 1: this industry, and I know a bit about what's going 218 00:14:07,880 --> 00:14:10,640 Speaker 1: on in some of the changes and disruptions there. But 219 00:14:10,720 --> 00:14:12,319 Speaker 1: you know, I'll talk to you about that. I want 220 00:14:12,320 --> 00:14:15,160 Speaker 1: to talk to you about why your local mall maybe 221 00:14:15,520 --> 00:14:20,080 Speaker 1: almost empty now, why malls are closing, why retail jobs 222 00:14:20,120 --> 00:14:24,960 Speaker 1: are disappearing at breakneck speed, uh, and a whole bunch 223 00:14:25,000 --> 00:14:27,480 Speaker 1: of other factors. Because look, if we're gonna talk about 224 00:14:27,520 --> 00:14:30,280 Speaker 1: making America great again, and we're going to discuss Made 225 00:14:30,360 --> 00:14:34,400 Speaker 1: in America week, we've got to be very clear about 226 00:14:34,440 --> 00:14:38,240 Speaker 1: what's really happening. Because sure, we want what you're doing. 227 00:14:38,280 --> 00:14:40,560 Speaker 1: What you're seeing the President do is creating a climate 228 00:14:41,120 --> 00:14:45,680 Speaker 1: of optimism and action, But the specific policies we need 229 00:14:45,720 --> 00:14:48,400 Speaker 1: to look at more closely and understand what will really help, 230 00:14:49,000 --> 00:14:52,600 Speaker 1: what's just a result of the global economy functioning as 231 00:14:52,680 --> 00:14:55,240 Speaker 1: it will, whether we want it to or not. And 232 00:14:55,320 --> 00:14:58,400 Speaker 1: what is a trade agreement problem or where could we 233 00:14:58,480 --> 00:15:01,000 Speaker 1: have a little more assist since for us workers. So 234 00:15:01,040 --> 00:15:02,520 Speaker 1: we look at all of this and we'll talk. I'll 235 00:15:02,560 --> 00:15:05,640 Speaker 1: talk to you about though about brick and mortar stores, 236 00:15:05,720 --> 00:15:09,400 Speaker 1: your local mall and retail jobs. After the break, stay 237 00:15:09,440 --> 00:15:14,440 Speaker 1: with me. The gentleman who was in charge of Omaha beef, 238 00:15:14,480 --> 00:15:16,800 Speaker 1: they do beef. He hugged me. He wanted to kiss 239 00:15:16,840 --> 00:15:21,560 Speaker 1: me so badly because he said, our business is a 240 00:15:21,560 --> 00:15:24,560 Speaker 1: whole different business because you've got China approved. The other 241 00:15:24,600 --> 00:15:28,240 Speaker 1: administrations couldn't even come close. And I told him, you 242 00:15:28,240 --> 00:15:32,440 Speaker 1: know how long it took one sentence. I said, President, 243 00:15:32,600 --> 00:15:37,120 Speaker 1: she we'd love to sell beef back in China again. 244 00:15:37,640 --> 00:15:40,280 Speaker 1: He said, you can do that. That was the end 245 00:15:40,280 --> 00:15:44,040 Speaker 1: of there. Well, there you go, Trump claiming a victory 246 00:15:44,160 --> 00:15:48,360 Speaker 1: on beef, which I am a huge proponent of red meat, 247 00:15:48,440 --> 00:15:51,440 Speaker 1: so kind of recently a friend of mine is given 248 00:15:51,760 --> 00:15:53,440 Speaker 1: just given up red meat. If we'll still eat all 249 00:15:53,440 --> 00:15:56,120 Speaker 1: other animal products, will not eat red Meat's looking at 250 00:15:56,160 --> 00:15:58,480 Speaker 1: him like I mean, it's like we're not even in 251 00:15:58,520 --> 00:16:02,320 Speaker 1: America anymore. Man, come on. Uh. But so there are 252 00:16:02,360 --> 00:16:04,440 Speaker 1: some areas with a president and that's one of them, 253 00:16:04,520 --> 00:16:08,960 Speaker 1: right with with international sale of the US uh food 254 00:16:08,960 --> 00:16:13,200 Speaker 1: and you know, agricultural products, then a trade agreement can 255 00:16:13,240 --> 00:16:14,880 Speaker 1: make a lot of difference, make a lot of difference 256 00:16:14,920 --> 00:16:20,280 Speaker 1: in US beef, beef producers, providers, um. But there are 257 00:16:20,320 --> 00:16:23,960 Speaker 1: other places where nothing Trump is doing is going to 258 00:16:24,080 --> 00:16:27,120 Speaker 1: have much of an impact. And he mentioned in the speech. 259 00:16:27,160 --> 00:16:29,280 Speaker 1: I don't have the clip for you, but you said, 260 00:16:29,320 --> 00:16:31,240 Speaker 1: you know all these we're gonna stop these stores from 261 00:16:31,280 --> 00:16:35,600 Speaker 1: closing these you know, your your mall that's shutting down, 262 00:16:35,760 --> 00:16:38,640 Speaker 1: or that looks like a ghost town. That's going to change. 263 00:16:38,640 --> 00:16:40,240 Speaker 1: And I can tell you I don't think that will change, 264 00:16:41,280 --> 00:16:45,880 Speaker 1: because that's a function of a few forces that are 265 00:16:46,040 --> 00:16:50,440 Speaker 1: not that They're not about government regulation, they're not about 266 00:16:51,400 --> 00:16:55,600 Speaker 1: a bad trade deal. They are largely technologically driven. And 267 00:16:55,640 --> 00:16:58,280 Speaker 1: I mean, I'm somebody who now has become increasingly reliant 268 00:16:58,360 --> 00:17:01,720 Speaker 1: on Amazon in a way that I realized it's starting 269 00:17:01,720 --> 00:17:05,000 Speaker 1: to mirror my usage of something like Google, where I'm 270 00:17:05,040 --> 00:17:07,080 Speaker 1: just do I need something, I just go on Amazon. 271 00:17:07,880 --> 00:17:09,199 Speaker 1: Do I either the same way that when you have 272 00:17:09,200 --> 00:17:10,520 Speaker 1: a question or you want to look something up, you 273 00:17:10,720 --> 00:17:13,280 Speaker 1: tend to just go on Google. Yeah, there are alternatives 274 00:17:13,320 --> 00:17:20,000 Speaker 1: for you, but if it's convenience goes a long way 275 00:17:20,160 --> 00:17:23,280 Speaker 1: and price goes a long way. And when you're talking 276 00:17:23,320 --> 00:17:26,840 Speaker 1: about issues of convenience, price and everything else, Amazon and 277 00:17:26,840 --> 00:17:30,280 Speaker 1: there are other mega retailers online too, and Amazon is 278 00:17:30,280 --> 00:17:33,240 Speaker 1: the first one that really comes to mind. These days, 279 00:17:33,359 --> 00:17:37,840 Speaker 1: very tough for brick and mortar stores to compete, and 280 00:17:38,040 --> 00:17:41,600 Speaker 1: that's having a massive impact as well on the workforce 281 00:17:41,840 --> 00:17:46,119 Speaker 1: that goes to those stores. The retail sales in this 282 00:17:46,240 --> 00:17:51,359 Speaker 1: country employees about ten of the overall workforce, which is enormous. 283 00:17:51,720 --> 00:17:55,280 Speaker 1: You know, we hear a lot about coal miners employees, 284 00:17:55,520 --> 00:17:58,320 Speaker 1: something like, I don't know, thirty to forty tho. I 285 00:17:58,359 --> 00:18:00,919 Speaker 1: think I'm going from memory here. If I'm off on that, 286 00:18:01,000 --> 00:18:04,000 Speaker 1: let me know. But we talk about coal minits, we 287 00:18:04,000 --> 00:18:06,960 Speaker 1: talked about other industries that have far fewer employees than 288 00:18:07,080 --> 00:18:10,320 Speaker 1: retail sales. Now, retail sales tend to be seasonal. You 289 00:18:10,400 --> 00:18:13,840 Speaker 1: get people who are a second A lot of second 290 00:18:13,840 --> 00:18:16,320 Speaker 1: earners in a in a household work in retail sales. 291 00:18:16,760 --> 00:18:20,399 Speaker 1: It used to be the case that you could do 292 00:18:20,440 --> 00:18:23,280 Speaker 1: a retail sales job over the summer. That was very commonplace. 293 00:18:23,320 --> 00:18:26,240 Speaker 1: I mean back in the I saw some economic data 294 00:18:26,240 --> 00:18:27,800 Speaker 1: from the Wall Street Journal. But you know, back in 295 00:18:27,840 --> 00:18:31,840 Speaker 1: the seventies, like sevent of teenagers had some form of 296 00:18:31,840 --> 00:18:33,920 Speaker 1: of job at some point over the course of a year. 297 00:18:34,160 --> 00:18:39,359 Speaker 1: Now it's like less than half. So you're you've got 298 00:18:39,440 --> 00:18:43,560 Speaker 1: this entire generation that's coming up that doesn't have early 299 00:18:43,680 --> 00:18:46,040 Speaker 1: work experience, where it's finding it harder at least to 300 00:18:46,040 --> 00:18:49,040 Speaker 1: get that early work experience. And it's largely because in 301 00:18:49,080 --> 00:18:51,639 Speaker 1: the retail space you just don't have the same number 302 00:18:51,640 --> 00:18:55,280 Speaker 1: of openings that you used to. Real estate prices still are, 303 00:18:56,119 --> 00:19:01,080 Speaker 1: especially in urban centers, often very high, and paying for space, 304 00:19:01,840 --> 00:19:06,120 Speaker 1: paying for a place to hold stuff that looks nice, 305 00:19:06,160 --> 00:19:09,600 Speaker 1: that is appealing, that is has foot traffic or has 306 00:19:09,680 --> 00:19:12,800 Speaker 1: parking or whatever. Those are all costs that you know, 307 00:19:12,840 --> 00:19:17,840 Speaker 1: the Amazon warehouse and the UH artificial intelligence that is 308 00:19:18,600 --> 00:19:21,479 Speaker 1: used to make sure that we're getting all this stuff around, 309 00:19:21,480 --> 00:19:23,399 Speaker 1: and that also tells you, hey, you may want this thing, 310 00:19:23,480 --> 00:19:25,239 Speaker 1: or we know you wanted that, maybe you want this 311 00:19:26,000 --> 00:19:28,880 Speaker 1: very tough to compete with that. I've got to talk 312 00:19:28,880 --> 00:19:30,960 Speaker 1: more about this. I went along but we'll be back 313 00:19:31,040 --> 00:19:36,880 Speaker 1: right after. Stay with me The Freedom Hunt rocks online too. 314 00:19:37,160 --> 00:19:39,560 Speaker 1: You can hang out with Team Buck anytime. Plus get 315 00:19:39,560 --> 00:19:42,720 Speaker 1: plus latest news and analysis go to buck Sexton dot com. 316 00:19:42,920 --> 00:19:46,320 Speaker 1: That's buck Sexton dot com. A lot of day The 317 00:19:46,440 --> 00:19:50,320 Speaker 1: Buck is back. So we could spend time, if you want, 318 00:19:50,440 --> 00:19:55,199 Speaker 1: talking about Russia Trump collusion, but I'd rather skip it 319 00:19:55,240 --> 00:19:57,000 Speaker 1: today if you're if you're good with that at a 320 00:19:57,119 --> 00:20:00,720 Speaker 1: four four buck, if you have thoughts on what we 321 00:20:00,800 --> 00:20:03,080 Speaker 1: are discussing or what we should be discussing eight four four, 322 00:20:03,240 --> 00:20:08,080 Speaker 1: nine to eight to five on the lines, I'm sure 323 00:20:08,160 --> 00:20:10,679 Speaker 1: by tomorrow there will be some other advancement to that 324 00:20:10,760 --> 00:20:12,680 Speaker 1: story in the New York Times of the Washington Post. 325 00:20:12,960 --> 00:20:15,840 Speaker 1: And I think this the the major economic forces that 326 00:20:15,880 --> 00:20:21,119 Speaker 1: the Trump administration is trying to tackle, not just this 327 00:20:21,160 --> 00:20:23,439 Speaker 1: week but with Made in America Week and in general, 328 00:20:24,040 --> 00:20:27,040 Speaker 1: are important just as a roadmap for other things we'll 329 00:20:27,040 --> 00:20:29,080 Speaker 1: be getting too. Shortly on the show, I want to 330 00:20:29,080 --> 00:20:31,480 Speaker 1: talk about the status of the healthcare bill, which is 331 00:20:31,480 --> 00:20:36,520 Speaker 1: still very much up in the air, have some additional 332 00:20:37,160 --> 00:20:41,520 Speaker 1: details and advancements to that story for you. We will 333 00:20:41,560 --> 00:20:48,040 Speaker 1: also discuss some reporting on hacking efforts aimed at the 334 00:20:48,280 --> 00:20:53,719 Speaker 1: voter registration databases in some states or the state voter websites. 335 00:20:54,000 --> 00:20:56,320 Speaker 1: Um that this was reported the Wall Street Journal. So 336 00:20:56,320 --> 00:20:58,680 Speaker 1: we'll talk about cyber cyber hacking and elections and what 337 00:20:58,720 --> 00:21:02,040 Speaker 1: the future looks like with that. And then also speech 338 00:21:02,040 --> 00:21:05,560 Speaker 1: equals violence is a is a construct that the left 339 00:21:05,680 --> 00:21:08,520 Speaker 1: is increasingly embracing it and now they're just openly writing 340 00:21:08,520 --> 00:21:11,320 Speaker 1: about it. But but they also will use science. They'll 341 00:21:11,359 --> 00:21:15,840 Speaker 1: say hashtag science proves that speech can equal violence. You know, 342 00:21:17,000 --> 00:21:23,439 Speaker 1: feelings shire Um shared um eight four four buck if 343 00:21:23,480 --> 00:21:25,360 Speaker 1: you want to call in on any of that. So 344 00:21:25,560 --> 00:21:27,120 Speaker 1: before we get a healthcare and I will, I want 345 00:21:27,119 --> 00:21:29,400 Speaker 1: to move this along. I find some of these macroeconomic 346 00:21:29,440 --> 00:21:32,600 Speaker 1: forces fastening and I think that they while it's it 347 00:21:32,800 --> 00:21:35,520 Speaker 1: maybe is for the purposes of radio. Sometimes a better 348 00:21:35,520 --> 00:21:37,679 Speaker 1: idea to sit there and just be like hate the 349 00:21:37,760 --> 00:21:40,280 Speaker 1: media and the media is terrible that you know, we 350 00:21:40,359 --> 00:21:42,600 Speaker 1: do that and the media does the media does stink, 351 00:21:42,640 --> 00:21:45,440 Speaker 1: and I'd like to tell you that too. But this 352 00:21:45,520 --> 00:21:49,320 Speaker 1: is something that will it will continue to play out, 353 00:21:49,400 --> 00:21:52,239 Speaker 1: and I think we all see the effects. We all 354 00:21:52,280 --> 00:21:55,760 Speaker 1: see what it means for us. And sure when you 355 00:21:55,760 --> 00:21:58,760 Speaker 1: look at it at a at a specific on a 356 00:21:58,760 --> 00:22:04,160 Speaker 1: specific issue like whether or not teenagers have summer jobs. Well, okay, 357 00:22:04,359 --> 00:22:06,399 Speaker 1: not the end of the world, but is that a 358 00:22:06,440 --> 00:22:08,920 Speaker 1: harbinger of things to come for retail? And I think 359 00:22:08,920 --> 00:22:12,160 Speaker 1: the answer, by the way, is yes. And the contractions 360 00:22:12,160 --> 00:22:15,760 Speaker 1: that are happening in retail are very serious and they 361 00:22:15,880 --> 00:22:20,720 Speaker 1: are part of a larger transformation of the workforce that's 362 00:22:20,760 --> 00:22:23,720 Speaker 1: going on right now. Um, And as I said, there's 363 00:22:23,840 --> 00:22:27,720 Speaker 1: a huge portion of the population works in retail, and 364 00:22:27,800 --> 00:22:31,960 Speaker 1: there's this, uh, I think it's fair to say that 365 00:22:32,160 --> 00:22:36,480 Speaker 1: there's a little bit of an idealization of manufacturing that 366 00:22:36,600 --> 00:22:39,320 Speaker 1: goes on, you know, in the post World War two 367 00:22:39,400 --> 00:22:42,280 Speaker 1: error because of the explosion of manufacturing productivity in this 368 00:22:42,359 --> 00:22:46,080 Speaker 1: country and also the large numbers of people employed in 369 00:22:46,160 --> 00:22:52,240 Speaker 1: manufacturing with relatively speaking, high paid jobs with good benefits, 370 00:22:53,000 --> 00:22:56,040 Speaker 1: and there's nostalgia tied to it, right, And so for 371 00:22:56,440 --> 00:23:00,320 Speaker 1: purely political reasons, the Trump administration talking about the good 372 00:23:00,359 --> 00:23:02,159 Speaker 1: old days when there were a lot of people who 373 00:23:02,200 --> 00:23:05,639 Speaker 1: were working in manufacturing that you know, there are a 374 00:23:05,680 --> 00:23:08,720 Speaker 1: lot of boomers right now who remember, yeah, manufacturing, you know, 375 00:23:08,800 --> 00:23:10,679 Speaker 1: that was a time when you know, there was a 376 00:23:10,680 --> 00:23:13,040 Speaker 1: time when Americans could make twenty five or thirty bucks 377 00:23:13,080 --> 00:23:17,080 Speaker 1: an hour working for a plant owned by a company somewhere, 378 00:23:17,200 --> 00:23:19,879 Speaker 1: or you know, making American cars, making stuff. You know, 379 00:23:19,960 --> 00:23:23,480 Speaker 1: we make things, and I'm here to tell you that 380 00:23:23,520 --> 00:23:26,000 Speaker 1: we still make a lot of stuff. It's just it's 381 00:23:26,160 --> 00:23:29,359 Speaker 1: made much more efficiently, which means fewer people are Fewer 382 00:23:29,440 --> 00:23:33,560 Speaker 1: people are involved in the making of them, and therefore 383 00:23:33,560 --> 00:23:36,240 Speaker 1: aren't getting a way as part of that process. Those 384 00:23:36,760 --> 00:23:39,080 Speaker 1: or all of us though, benefit from it. And that 385 00:23:39,600 --> 00:23:43,439 Speaker 1: greater efficiency means lower cost, and lower cost means that 386 00:23:43,480 --> 00:23:47,080 Speaker 1: you can now buy a a flat screen l C 387 00:23:47,280 --> 00:23:50,640 Speaker 1: D t V for you know that that's enormous for 388 00:23:51,040 --> 00:23:53,840 Speaker 1: hundreds of dollars that even a decade ago would have 389 00:23:53,840 --> 00:23:57,920 Speaker 1: been like unthinkably expensive. Right, So we're seeing all these changes. 390 00:23:57,920 --> 00:24:00,880 Speaker 1: I mean you now carry around in your pocket electronics 391 00:24:00,880 --> 00:24:03,600 Speaker 1: is one of the most visible ways we've seen the 392 00:24:03,600 --> 00:24:08,240 Speaker 1: economy transfer transforming in helpful and useful and more productive ways. 393 00:24:08,240 --> 00:24:10,320 Speaker 1: I mean, you now carry around if you have a smartphone, 394 00:24:10,359 --> 00:24:12,840 Speaker 1: if you're listening to this show, either on a smartphone 395 00:24:12,880 --> 00:24:14,480 Speaker 1: or you just happen to have one, you carry in 396 00:24:14,520 --> 00:24:18,159 Speaker 1: more computing power than uh, you know, would have been 397 00:24:18,280 --> 00:24:20,719 Speaker 1: used to get to the moon back in the earlier 398 00:24:20,760 --> 00:24:23,400 Speaker 1: days of the program, right. I mean, this is it's 399 00:24:23,480 --> 00:24:27,639 Speaker 1: profound what has happened here, um, But there are costs 400 00:24:27,680 --> 00:24:29,959 Speaker 1: and benefits to it. And one of the big shifts 401 00:24:30,000 --> 00:24:34,320 Speaker 1: that's happened is the switch from manufacturing jobs as a 402 00:24:34,400 --> 00:24:36,800 Speaker 1: percentage of the overall workforce in this country. So people 403 00:24:36,800 --> 00:24:39,200 Speaker 1: who can go work at the you know, whether it's 404 00:24:39,200 --> 00:24:42,600 Speaker 1: the GM plant or I don't know, Nike or whatever 405 00:24:42,720 --> 00:24:47,840 Speaker 1: it may be, whatever major company General Electric, right, they 406 00:24:48,080 --> 00:24:50,800 Speaker 1: have switched from There's been a switch for manufacturing jobs 407 00:24:50,840 --> 00:24:55,480 Speaker 1: to service jobs. And this is how you have an 408 00:24:55,520 --> 00:25:01,920 Speaker 1: economy that, at least at first glance, has incredibly low 409 00:25:02,000 --> 00:25:05,119 Speaker 1: unemployment four point seven per cent. But when you add 410 00:25:05,160 --> 00:25:09,320 Speaker 1: in what those jobs are, and you also add into 411 00:25:09,320 --> 00:25:13,000 Speaker 1: the equation workforce participation, you see that it's not quite 412 00:25:13,000 --> 00:25:18,199 Speaker 1: as rosy a picture, and that a service job that 413 00:25:18,240 --> 00:25:21,560 Speaker 1: pays you ten bucks an hour is very different from 414 00:25:21,600 --> 00:25:24,200 Speaker 1: a manufacturing job that pays you double or three times 415 00:25:24,240 --> 00:25:27,480 Speaker 1: that um. And so just being employed or not being 416 00:25:27,560 --> 00:25:32,480 Speaker 1: counted in the unemployed, these are ways that our perception 417 00:25:32,520 --> 00:25:36,440 Speaker 1: of the economy gets skewed. And I try not to 418 00:25:36,520 --> 00:25:42,000 Speaker 1: fall into this category of robophobes those were afraid of robotics. 419 00:25:42,640 --> 00:25:45,520 Speaker 1: But I do think that we are in for some 420 00:25:45,680 --> 00:25:50,440 Speaker 1: nasty or maybe I should say stormy sees ahead when 421 00:25:50,440 --> 00:25:52,800 Speaker 1: it comes to the employment picture in this country, because 422 00:25:52,880 --> 00:25:58,080 Speaker 1: productivity is going to be increasing by leaps and bounds. 423 00:25:58,720 --> 00:26:01,920 Speaker 1: And it's one thing to say that you have, uh, 424 00:26:01,960 --> 00:26:06,480 Speaker 1: you know, you're going from making uh, you know, VCRs 425 00:26:06,600 --> 00:26:10,080 Speaker 1: to making DVD players, right. It's another thing to say 426 00:26:10,119 --> 00:26:14,159 Speaker 1: that you're gonna have entire business models like transportation that 427 00:26:14,200 --> 00:26:18,680 Speaker 1: will be automated meaning automated meaning you'll have no truck drivers. 428 00:26:18,720 --> 00:26:21,920 Speaker 1: You'll just have essentially a self guided, self driving GPS 429 00:26:22,000 --> 00:26:25,280 Speaker 1: system that doing long haul trucking and transporting goods across 430 00:26:25,320 --> 00:26:28,199 Speaker 1: the country. That's coming, that's going to happen. It's a 431 00:26:28,280 --> 00:26:33,080 Speaker 1: question of when. Same thing with taxi drivers, uber drivers, 432 00:26:33,200 --> 00:26:37,000 Speaker 1: uh chauffeurs. These are all going to be careers that 433 00:26:37,080 --> 00:26:40,600 Speaker 1: don't really exist in a matter of years. We don't 434 00:26:40,600 --> 00:26:43,320 Speaker 1: really know how long, and we need to start preparing 435 00:26:43,400 --> 00:26:47,359 Speaker 1: for that now because there will be displacement. Retraining is 436 00:26:47,440 --> 00:26:49,840 Speaker 1: a nice thing to say, but retraining for a new 437 00:26:49,880 --> 00:26:53,160 Speaker 1: career when you're especially in your forties your fifties, it's 438 00:26:53,160 --> 00:26:56,240 Speaker 1: a tough thing to do and who does the retraining 439 00:26:56,280 --> 00:26:58,439 Speaker 1: by the way, I mean, the government programs have had 440 00:26:58,560 --> 00:27:02,840 Speaker 1: very mixed success, uh in those areas. So while the 441 00:27:02,880 --> 00:27:05,040 Speaker 1: President speaking about these issues, and I think he is 442 00:27:05,040 --> 00:27:07,600 Speaker 1: well intentioned that, I think he's also well situated as 443 00:27:07,600 --> 00:27:12,040 Speaker 1: somebody with real private sector experience to speak about them 444 00:27:12,119 --> 00:27:17,040 Speaker 1: in constructive ways and to get the American manufacturing sector energized, 445 00:27:17,040 --> 00:27:19,840 Speaker 1: because as I was saying, manufacturing sector is doing great, 446 00:27:19,880 --> 00:27:22,840 Speaker 1: it's just not employing as many people. But we've got 447 00:27:22,840 --> 00:27:25,639 Speaker 1: factories that are churning out much more than factories used to, 448 00:27:25,880 --> 00:27:30,280 Speaker 1: and much better stuff than factories used to. So there's 449 00:27:30,359 --> 00:27:34,919 Speaker 1: just more complexity to made in USA than you know, 450 00:27:35,000 --> 00:27:39,359 Speaker 1: standing around and cheering like a scene from Rocky for 451 00:27:39,359 --> 00:27:42,320 Speaker 1: for the USA, which again is a great feeling and 452 00:27:42,359 --> 00:27:45,440 Speaker 1: it's a great movie. Um. But there are some parts 453 00:27:45,440 --> 00:27:47,480 Speaker 1: of this that are workable, some parts of this that 454 00:27:47,520 --> 00:27:50,120 Speaker 1: can change and the government and that the Trump administration 455 00:27:50,680 --> 00:27:52,320 Speaker 1: can have a constructive role in. And there are other 456 00:27:52,320 --> 00:27:55,120 Speaker 1: places where it's just not going to happen, or it's 457 00:27:55,119 --> 00:27:58,000 Speaker 1: going to happen in ways that there are some who 458 00:27:58,040 --> 00:28:00,800 Speaker 1: benefit and there are some who lose. That's just the 459 00:28:00,960 --> 00:28:05,840 Speaker 1: creative destruction of the marketplace at work. So, uh, that's 460 00:28:06,040 --> 00:28:07,920 Speaker 1: those are my thoughts on that right now. But you're 461 00:28:07,920 --> 00:28:10,000 Speaker 1: not going to see a huge return in retail jobs 462 00:28:10,040 --> 00:28:13,560 Speaker 1: just putting that out there, no way. Uh. And and 463 00:28:13,680 --> 00:28:16,560 Speaker 1: Amazon buying up and getting better. I keep saying Amazon, 464 00:28:16,600 --> 00:28:21,280 Speaker 1: but there are others too, Uh, these these megacorporations that 465 00:28:21,320 --> 00:28:26,040 Speaker 1: are buying up competition and just becoming essentially complicated technology 466 00:28:26,520 --> 00:28:31,200 Speaker 1: companies with major logistics operations attached to them. Uh, to 467 00:28:31,880 --> 00:28:34,600 Speaker 1: distribute the products that are made by other by other entities. 468 00:28:34,640 --> 00:28:37,000 Speaker 1: I mean, that's that's the way the future is going 469 00:28:37,080 --> 00:28:38,840 Speaker 1: right now, and I don't see how that's going to change. 470 00:28:40,000 --> 00:28:43,120 Speaker 1: So hopefully there will still be some cute coffee shops 471 00:28:43,160 --> 00:28:44,480 Speaker 1: in the future, and you're not just gonna have a 472 00:28:44,560 --> 00:28:47,880 Speaker 1: drone outside your window, like your latte has arrived, but 473 00:28:47,960 --> 00:28:50,160 Speaker 1: you know, you don't know, you don't know, and a 474 00:28:50,240 --> 00:28:52,560 Speaker 1: son of your like latte buck, I drink my coffee. Black. 475 00:28:54,680 --> 00:28:59,760 Speaker 1: Health care bill is well, we don't know if it's 476 00:29:00,200 --> 00:29:03,440 Speaker 1: going to go through or not. It's maybe all gonna 477 00:29:03,480 --> 00:29:05,520 Speaker 1: work out. You could also argue that it is in 478 00:29:05,640 --> 00:29:10,880 Speaker 1: some degree of of jeopardy right now, and you have 479 00:29:11,040 --> 00:29:16,880 Speaker 1: the the added issue of a Senator John McCain, who 480 00:29:16,960 --> 00:29:19,000 Speaker 1: is going to be away from d C for a 481 00:29:19,040 --> 00:29:23,360 Speaker 1: while for health reasons after an operation. Here is what 482 00:29:24,400 --> 00:29:29,280 Speaker 1: the President had to say on this. We hope John 483 00:29:29,320 --> 00:29:33,400 Speaker 1: McCain gets better very soon, because we miss him. He's 484 00:29:33,480 --> 00:29:38,280 Speaker 1: a crusty voice in Washington. Plus we need his vote. 485 00:29:39,160 --> 00:29:40,560 Speaker 1: They do need to vote. I don't really know what 486 00:29:40,600 --> 00:29:45,080 Speaker 1: a crusty voices, but they do need the vote. And 487 00:29:45,480 --> 00:29:47,320 Speaker 1: the longer that they wait on this, I think the 488 00:29:47,560 --> 00:29:50,000 Speaker 1: higher the odds become that you're not going to get 489 00:29:50,840 --> 00:29:53,960 Speaker 1: a bill passed by the Republican majority on healthcare after 490 00:29:54,000 --> 00:29:58,560 Speaker 1: all this time, after all the promises, And that doesn't 491 00:29:58,600 --> 00:30:01,840 Speaker 1: even really add into the take into account for this 492 00:30:01,960 --> 00:30:06,240 Speaker 1: discussion that this isn't even like a repeal and it's 493 00:30:06,720 --> 00:30:11,960 Speaker 1: not a great bill. Senator Ram Paul, the real problem 494 00:30:12,000 --> 00:30:13,920 Speaker 1: we have is, you know, we won four elections on 495 00:30:13,960 --> 00:30:18,360 Speaker 1: repealing Obamacare. But this bill keeps most of the Obamacare taxes, 496 00:30:18,760 --> 00:30:21,720 Speaker 1: keeps most of the regulations, keeps most of the subsidies, 497 00:30:21,920 --> 00:30:24,720 Speaker 1: and creates something that Republicans have never been for. That's 498 00:30:24,720 --> 00:30:28,760 Speaker 1: a a giant insurance bailout super fund. That's not a 499 00:30:28,800 --> 00:30:31,640 Speaker 1: Republican idea to give tax para money to a private 500 00:30:31,680 --> 00:30:36,440 Speaker 1: industry that already makes fifteen billion dollars in profit. So 501 00:30:36,520 --> 00:30:38,880 Speaker 1: it's not free market, it's not a repeat, it's not 502 00:30:39,200 --> 00:30:40,920 Speaker 1: entirely free market, which it was never going to be. 503 00:30:40,960 --> 00:30:42,800 Speaker 1: And I agree some of you have been have been 504 00:30:43,160 --> 00:30:45,680 Speaker 1: objecting to me saying, oh, it's not I can't you 505 00:30:45,720 --> 00:30:47,600 Speaker 1: can't be a free market absolutist when it comes to 506 00:30:47,640 --> 00:30:52,360 Speaker 1: healthcare because we're so far from that right now that 507 00:30:52,440 --> 00:30:55,320 Speaker 1: it's you know, it's like saying you're trying to you're 508 00:30:55,320 --> 00:30:59,000 Speaker 1: trying to turn your your I don't know your your 509 00:30:59,040 --> 00:31:02,560 Speaker 1: hot dog stand offitable or you haven't been able to 510 00:31:02,560 --> 00:31:03,920 Speaker 1: turn a profit, and you're like, well, I want to 511 00:31:03,920 --> 00:31:06,040 Speaker 1: be a hot dog billionaire. It's like, well, let's you know, 512 00:31:06,120 --> 00:31:09,000 Speaker 1: baby steps, right, like, let's get there, let's get there 513 00:31:09,000 --> 00:31:12,360 Speaker 1: piece by piece. This is it's not going to happen tomorrow. So, 514 00:31:12,600 --> 00:31:15,880 Speaker 1: you know, looking at the realities of this healthcare bill, 515 00:31:15,920 --> 00:31:17,360 Speaker 1: if it goes through, it looks like it's a little 516 00:31:17,400 --> 00:31:18,840 Speaker 1: bit better. And we've talked to you about some of 517 00:31:18,880 --> 00:31:21,680 Speaker 1: the details. Now, keep in mind, whatever the Senate passes 518 00:31:21,720 --> 00:31:24,120 Speaker 1: has to go through conference with the House, and so 519 00:31:24,200 --> 00:31:28,960 Speaker 1: there'll be changes in addition made to it, but it's 520 00:31:30,120 --> 00:31:35,720 Speaker 1: it is a adjustment to Obamacare. It is not a repeal, 521 00:31:36,520 --> 00:31:38,480 Speaker 1: and I think we all need to be quite honest 522 00:31:38,520 --> 00:31:40,760 Speaker 1: about that. There are some who are saying that that 523 00:31:40,800 --> 00:31:42,880 Speaker 1: this is a phase, This is a stage, This is 524 00:31:42,880 --> 00:31:46,120 Speaker 1: a multi tiered process, and we should move forward with 525 00:31:46,160 --> 00:31:53,440 Speaker 1: it understanding that. Here's HHS Secretary Tom Price. The challenge 526 00:31:53,480 --> 00:31:55,880 Speaker 1: that we have is that the bill itself isn't the 527 00:31:56,080 --> 00:31:59,000 Speaker 1: entire plan. It is a significant and an important and 528 00:31:59,080 --> 00:32:01,640 Speaker 1: integral part of the plan, but it's not the entire plan. 529 00:32:01,880 --> 00:32:03,840 Speaker 1: What we're doing over at Health and Human Services right 530 00:32:03,880 --> 00:32:06,400 Speaker 1: now is going through all of the rules and regulations 531 00:32:06,400 --> 00:32:09,960 Speaker 1: that were promulgated pursuant to the Affordable Care Act, those 532 00:32:10,000 --> 00:32:12,479 Speaker 1: places where it said the Secretary shallow, the Secretary may 533 00:32:13,480 --> 00:32:15,920 Speaker 1: forty two times, and we're looking at those and asking 534 00:32:15,960 --> 00:32:18,800 Speaker 1: the question, does this help patients or does it harm patients? 535 00:32:18,920 --> 00:32:21,240 Speaker 1: Does it increase costs or does it decrease costs? And 536 00:32:21,240 --> 00:32:23,280 Speaker 1: where the answer is wrong, we're going to move it 537 00:32:23,280 --> 00:32:27,000 Speaker 1: into much better direct Now. They're they're pushing, they're adding 538 00:32:27,000 --> 00:32:30,200 Speaker 1: more pressure on the Senate to get this done, and 539 00:32:30,480 --> 00:32:35,200 Speaker 1: I think they're creating or there forming a narrative here 540 00:32:35,240 --> 00:32:38,920 Speaker 1: of why this needs to get done, in part because uh, 541 00:32:38,960 --> 00:32:41,560 Speaker 1: it's just the beginning, right, So that's one way. So 542 00:32:41,760 --> 00:32:45,120 Speaker 1: that shuts down at some level the oh it's not 543 00:32:45,160 --> 00:32:47,480 Speaker 1: a repeal argument, because if it's just the first of 544 00:32:47,600 --> 00:32:53,560 Speaker 1: many actions that will be taken by the Senate in 545 00:32:53,680 --> 00:32:58,840 Speaker 1: order to make a better healthcare bill, well, I guess 546 00:32:58,880 --> 00:33:00,680 Speaker 1: we should give them some time. Now, do you believe 547 00:33:00,720 --> 00:33:02,600 Speaker 1: it that's true or not? I leave that to you 548 00:33:03,400 --> 00:33:07,000 Speaker 1: who really knows. Um, But that's at least part of 549 00:33:07,000 --> 00:33:09,000 Speaker 1: how they're trying to sell this now. And then, of 550 00:33:09,000 --> 00:33:11,720 Speaker 1: course there's also the do this so we can do 551 00:33:11,840 --> 00:33:14,320 Speaker 1: the next thing argument, which we've been hearing all along. 552 00:33:14,640 --> 00:33:17,520 Speaker 1: They say that healthcare has to happen, so then taxes 553 00:33:17,560 --> 00:33:20,760 Speaker 1: can happen, and then immigration, I guess, can happen, and 554 00:33:20,920 --> 00:33:23,720 Speaker 1: the wall can happen. I think those are still issues 555 00:33:23,760 --> 00:33:29,520 Speaker 1: that are on the table. Here's a representative Duffy on this. 556 00:33:30,960 --> 00:33:33,480 Speaker 1: Tax reform will not happen unless we get healthcare reform done. 557 00:33:33,480 --> 00:33:36,000 Speaker 1: This is something we have to drive into the American 558 00:33:36,040 --> 00:33:39,920 Speaker 1: people's minds because we're using budget reconciliation, these stupid Senate 559 00:33:39,960 --> 00:33:42,880 Speaker 1: rules and uh, in tax reform. It has to be 560 00:33:42,920 --> 00:33:46,160 Speaker 1: revenue neutral. So every taxtileue moved down an the taxtile 561 00:33:46,200 --> 00:33:49,320 Speaker 1: has to go up. I agree, by the way, with 562 00:33:49,360 --> 00:33:51,600 Speaker 1: these the Senate rules they have in place, maybe they 563 00:33:51,600 --> 00:33:54,640 Speaker 1: should change some of the rules. Maybe they should get 564 00:33:55,160 --> 00:33:58,200 Speaker 1: rid of the filibuster. You know, what is the purpose? 565 00:33:58,360 --> 00:34:03,080 Speaker 1: What were all those campaigns about that the Republicans wage 566 00:34:03,200 --> 00:34:05,640 Speaker 1: to get into power to be in the majority. What 567 00:34:05,680 --> 00:34:07,400 Speaker 1: was that all about. If if it was just to 568 00:34:07,440 --> 00:34:10,279 Speaker 1: tell us, now, well we really need, you know, like 569 00:34:10,400 --> 00:34:13,200 Speaker 1: we kind of need a supermajority or else we can't 570 00:34:13,200 --> 00:34:17,239 Speaker 1: do anything. Sorry, bro, like Toad's didn't tell you that. 571 00:34:17,360 --> 00:34:19,920 Speaker 1: But they were supposed to tell us that, and they 572 00:34:19,920 --> 00:34:23,160 Speaker 1: did not, or they should have told us that. Instead 573 00:34:23,280 --> 00:34:26,440 Speaker 1: we got all of these mock repeal votes that have 574 00:34:26,520 --> 00:34:29,800 Speaker 1: turned out to be a mockery. I think they're mocking 575 00:34:29,920 --> 00:34:32,759 Speaker 1: us because they're not taking it seriously, or at least 576 00:34:32,840 --> 00:34:35,360 Speaker 1: so far from what we've seen, they are not doing 577 00:34:35,400 --> 00:34:38,680 Speaker 1: what they said they would do. So uh, we'll see. 578 00:34:39,600 --> 00:34:42,600 Speaker 1: We'll see when Senator McCain is back and able to 579 00:34:42,880 --> 00:34:44,880 Speaker 1: be a part of the voting process, we'll see what 580 00:34:46,200 --> 00:34:49,600 Speaker 1: the campaign right now with youve got Tom Price at 581 00:34:49,760 --> 00:34:52,839 Speaker 1: at H H S and other senators who are making 582 00:34:52,880 --> 00:34:55,520 Speaker 1: the case. But some senators still against even though they've 583 00:34:55,600 --> 00:34:58,759 Speaker 1: been I don't know, can we say politically bought off 584 00:34:58,800 --> 00:35:00,719 Speaker 1: in one way or another? You know, little more a 585 00:35:00,760 --> 00:35:04,319 Speaker 1: little more medicaid funding here, a little more taxation on 586 00:35:04,440 --> 00:35:08,800 Speaker 1: high earners. They're trying to keep the so called moderates 587 00:35:08,840 --> 00:35:14,040 Speaker 1: in play so that this thing can pass. Tomin Ohio 588 00:35:14,080 --> 00:35:15,719 Speaker 1: on w w v A, what do you think about 589 00:35:15,760 --> 00:35:18,880 Speaker 1: all this? I want to go back to what you 590 00:35:18,920 --> 00:35:21,040 Speaker 1: were talking about in terms of UH and by the way, 591 00:35:21,040 --> 00:35:24,160 Speaker 1: you gave a very good description of probably with the 592 00:35:24,280 --> 00:35:26,080 Speaker 1: job situation is going to be in a very inter 593 00:35:26,160 --> 00:35:30,040 Speaker 1: future and to me, that is the one of the 594 00:35:30,080 --> 00:35:33,719 Speaker 1: main arguments for having a moratorium on immigration, or at 595 00:35:33,760 --> 00:35:35,920 Speaker 1: least as as much of a more tournament as we 596 00:35:35,920 --> 00:35:38,360 Speaker 1: could possibly have. You know this idea that well, we 597 00:35:38,400 --> 00:35:41,759 Speaker 1: have to bring people in to have the economy grow, Well, 598 00:35:41,800 --> 00:35:43,560 Speaker 1: the economy is not going to grow if we're We've 599 00:35:43,640 --> 00:35:46,840 Speaker 1: had the whole economy with people who are unemployed. And 600 00:35:46,920 --> 00:35:48,520 Speaker 1: you know where does a person who's a U. S. 601 00:35:48,560 --> 00:35:51,840 Speaker 1: Citizen go when he or she is out of a 602 00:35:51,920 --> 00:35:54,920 Speaker 1: job and you have all these people coming in Uh. 603 00:35:55,120 --> 00:35:57,520 Speaker 1: And then beyond that, you have the social problems with it. 604 00:35:57,880 --> 00:36:01,000 Speaker 1: And I firmly believe to buck that we had to 605 00:36:01,040 --> 00:36:04,880 Speaker 1: hold these teching people accountable in terms of these companies 606 00:36:05,040 --> 00:36:08,080 Speaker 1: to train American citizens rather than just coughing out and 607 00:36:08,080 --> 00:36:10,960 Speaker 1: getting getting somebody from some other country. And and that 608 00:36:11,080 --> 00:36:15,560 Speaker 1: may be involved getting the school systems. Uh. Really hand 609 00:36:15,560 --> 00:36:18,359 Speaker 1: in hand situation between business and schools more so than 610 00:36:18,400 --> 00:36:20,120 Speaker 1: even what it is. I mean, Tom, why why don't 611 00:36:20,160 --> 00:36:24,640 Speaker 1: Americans get preference in all American universities over foreign students? 612 00:36:25,120 --> 00:36:27,279 Speaker 1: Just as a matter of course, I I this is 613 00:36:27,320 --> 00:36:28,960 Speaker 1: People look at me like I'm crazy when I say this, 614 00:36:29,040 --> 00:36:31,960 Speaker 1: and say, without federal tax dollars, a lot of these certainly, 615 00:36:31,960 --> 00:36:34,640 Speaker 1: without federal loans, a lot of these places would be 616 00:36:34,719 --> 00:36:36,279 Speaker 1: in a whole bunch of trouble. They certainly would be 617 00:36:36,360 --> 00:36:39,440 Speaker 1: able to charge, in the case of many private universities 618 00:36:39,600 --> 00:36:42,440 Speaker 1: upwards a fifty thou dollars a year per student without 619 00:36:42,560 --> 00:36:45,799 Speaker 1: federal loans backing up many of the students that are 620 00:36:45,920 --> 00:36:48,720 Speaker 1: that are taking you know, that are going and taking 621 00:36:48,719 --> 00:36:51,920 Speaker 1: on that dead burden. But why shouldn't we have an 622 00:36:51,960 --> 00:36:56,480 Speaker 1: absolute preference for Americans and admissions at places like M 623 00:36:56,560 --> 00:36:59,080 Speaker 1: I T and cal Tech, and you start to think 624 00:36:59,080 --> 00:37:02,120 Speaker 1: about some of the long term implications about UH foreign 625 00:37:02,160 --> 00:37:08,600 Speaker 1: students getting access to the best technical engineering, electronic engineering, 626 00:37:09,239 --> 00:37:13,200 Speaker 1: UH aerospace. You know, you look in the areas where 627 00:37:13,239 --> 00:37:15,000 Speaker 1: we are training the rest of the world and you say, 628 00:37:15,040 --> 00:37:18,120 Speaker 1: hold on a second, isn't there a competitive issue here 629 00:37:18,360 --> 00:37:21,480 Speaker 1: for us for the future. There there's another aspect too, 630 00:37:21,680 --> 00:37:23,799 Speaker 1: when when we bring people here in terms of a 631 00:37:23,840 --> 00:37:27,319 Speaker 1: brain dream on these h one visas and you know, 632 00:37:27,440 --> 00:37:30,479 Speaker 1: they become citizens and then they're functioning this country, we're 633 00:37:30,520 --> 00:37:34,960 Speaker 1: actually also at the same time keeping their their homeland 634 00:37:35,080 --> 00:37:37,640 Speaker 1: a bit poorer. Tom, we gotta we gotta head to 635 00:37:37,680 --> 00:37:39,319 Speaker 1: a break. But I do appreciate you calling. I'm sorry 636 00:37:39,360 --> 00:37:41,120 Speaker 1: to cut you off. Team will be back with much more. 637 00:37:46,640 --> 00:37:49,200 Speaker 1: He's back with you now because when it comes to 638 00:37:49,239 --> 00:37:54,120 Speaker 1: the fight for truth, the fund never stops. Alright, Teams, 639 00:37:54,160 --> 00:37:57,719 Speaker 1: So I did want to spent a little time today 640 00:37:57,760 --> 00:38:02,359 Speaker 1: on where the media is right now, because there's there's 641 00:38:02,400 --> 00:38:05,680 Speaker 1: an unsettling quiet. Usually you'd think after what happened last 642 00:38:05,719 --> 00:38:08,520 Speaker 1: week there would be more and I'm sure if you 643 00:38:08,560 --> 00:38:11,600 Speaker 1: turn on MSNBC or CNN right now, on the monitors 644 00:38:11,600 --> 00:38:14,200 Speaker 1: here in the freedom Hunt. I've got Fox on, but 645 00:38:14,400 --> 00:38:16,720 Speaker 1: if you were to turn on some of those other stations, 646 00:38:16,719 --> 00:38:20,239 Speaker 1: other channels, you probably see some follow on an analysis 647 00:38:20,280 --> 00:38:22,480 Speaker 1: and a super panel and then a Megapanel and then 648 00:38:22,520 --> 00:38:25,680 Speaker 1: the expert Super Megapanel and all this stuff about Russia 649 00:38:25,719 --> 00:38:30,520 Speaker 1: Trump collusion. And I do get I am in large 650 00:38:30,520 --> 00:38:32,399 Speaker 1: part tired of it. But there's a couple of things, 651 00:38:32,400 --> 00:38:35,359 Speaker 1: And this is my only Russia Trump discussion segment today, 652 00:38:35,360 --> 00:38:37,359 Speaker 1: I promise this is the only one going to this one. 653 00:38:37,360 --> 00:38:40,799 Speaker 1: And then we're gonna move on other stuff, um, including 654 00:38:41,200 --> 00:38:45,600 Speaker 1: discussions of cyber hacking, but not Russia necessarily cyber hacking. 655 00:38:45,600 --> 00:38:46,960 Speaker 1: I mean I might touch on it a little bit, 656 00:38:47,000 --> 00:38:51,000 Speaker 1: but more generalized cyber and then discussing the left. Oh, 657 00:38:51,000 --> 00:38:53,680 Speaker 1: I'll talk to you about the Dali Lama later in 658 00:38:53,680 --> 00:38:59,239 Speaker 1: the show, Big Hitter, the Llama. Um. So we we 659 00:38:59,239 --> 00:39:01,600 Speaker 1: we've got very topics coming your way, but for right 660 00:39:01,640 --> 00:39:04,879 Speaker 1: now a little bit of what's going on here, because 661 00:39:04,960 --> 00:39:08,400 Speaker 1: last week was supposed to be a game changer from 662 00:39:08,440 --> 00:39:10,720 Speaker 1: the press and all this. It was supposed to change 663 00:39:10,800 --> 00:39:14,440 Speaker 1: the way, um that we think of the Trump Russia 664 00:39:14,480 --> 00:39:18,160 Speaker 1: collusion investigations because you had that Donald Trump Junior meeting, 665 00:39:18,200 --> 00:39:20,319 Speaker 1: and we've talked about that, right, you get that, you 666 00:39:20,360 --> 00:39:24,200 Speaker 1: get the details or the basics of it. Um, people 667 00:39:24,200 --> 00:39:26,160 Speaker 1: are in a room. They said, there was oppo research 668 00:39:26,280 --> 00:39:30,160 Speaker 1: and nothing seemed to really materialize. But we'll find out 669 00:39:30,239 --> 00:39:33,799 Speaker 1: some details. I'm sure there'll be additional details from that 670 00:39:33,840 --> 00:39:36,960 Speaker 1: meeting in the days ahead. We know the press was 671 00:39:37,000 --> 00:39:39,879 Speaker 1: holding onto that for months. They already knew they had that. 672 00:39:40,480 --> 00:39:43,080 Speaker 1: So this is probably why they've been leaning so far 673 00:39:43,200 --> 00:39:47,239 Speaker 1: ahead on the Russia collusion stuff, because this this was 674 00:39:47,280 --> 00:39:49,840 Speaker 1: the ace up to sleeve, so to speak. Although I 675 00:39:49,840 --> 00:39:51,440 Speaker 1: don't think it's really much of an ace at all, 676 00:39:51,480 --> 00:39:56,600 Speaker 1: but they certainly do. UM. And it's reflective though, and 677 00:39:56,640 --> 00:40:01,200 Speaker 1: the polling is reflective of a broa dr fight right 678 00:40:01,280 --> 00:40:09,360 Speaker 1: now between people who have just completely disavowed the objective press, 679 00:40:09,400 --> 00:40:11,360 Speaker 1: so to speak, because they think that it's nonsense and 680 00:40:11,400 --> 00:40:15,280 Speaker 1: it's not true, it's not reality, and those who believe 681 00:40:15,360 --> 00:40:18,760 Speaker 1: that the press will in fact take down the administration. Um. 682 00:40:18,800 --> 00:40:23,240 Speaker 1: This is a culture war, but a cultural war specifically 683 00:40:23,239 --> 00:40:25,640 Speaker 1: focused on the media. In fact, I think that Washington 684 00:40:25,680 --> 00:40:30,000 Speaker 1: Post columnist Carl Bernstein had some interesting comments on this. Bernstein, 685 00:40:30,040 --> 00:40:32,440 Speaker 1: of course, you know, famous dude, because of what he 686 00:40:32,480 --> 00:40:35,000 Speaker 1: reported on back in the day. I think I just 687 00:40:35,040 --> 00:40:37,840 Speaker 1: called Bernstein a famous dude. Whatever. It's one of those days. 688 00:40:37,920 --> 00:40:42,520 Speaker 1: Here's what he said. We are in the midst of 689 00:40:42,719 --> 00:40:46,719 Speaker 1: a cold civil war in this country, a political and 690 00:40:46,760 --> 00:40:50,520 Speaker 1: cultural civil war, and all of our reporting is taking 691 00:40:50,560 --> 00:40:54,120 Speaker 1: place in the context of that Cold civil war. Enough, 692 00:40:54,200 --> 00:40:57,680 Speaker 1: part part of the Cold civil war itself is the 693 00:40:57,760 --> 00:41:03,320 Speaker 1: configuration of media, with Fox News with CNN being perceived 694 00:41:03,360 --> 00:41:08,239 Speaker 1: by different sets of viewers as representing different truths, when 695 00:41:08,320 --> 00:41:14,239 Speaker 1: in fact Fox has changed American politics as perhaps no institution, 696 00:41:14,400 --> 00:41:19,640 Speaker 1: as our politics has been changed inalterably by this right 697 00:41:19,719 --> 00:41:23,320 Speaker 1: wing counter force, whatever you want to call Fox News. 698 00:41:25,320 --> 00:41:29,600 Speaker 1: Isn't it fascinating that here you have a revered journalist 699 00:41:29,680 --> 00:41:34,120 Speaker 1: of of decades in the business and he brings up 700 00:41:34,160 --> 00:41:38,480 Speaker 1: Fox as though it's the reason for the the hyperpartisan atmosphere, 701 00:41:38,520 --> 00:41:42,520 Speaker 1: and and and Fox. Is this really this, this nemesis 702 00:41:42,600 --> 00:41:45,719 Speaker 1: of objective journalism in his view. I he didn't say that, 703 00:41:45,800 --> 00:41:48,040 Speaker 1: but that that, I think is the implication you take 704 00:41:48,080 --> 00:41:53,279 Speaker 1: away from it all And well, okay, so those of 705 00:41:53,360 --> 00:41:56,040 Speaker 1: us who believe that the New York Times, Washing Post, CNN, 706 00:41:56,160 --> 00:41:59,040 Speaker 1: MSNBC go down the line all these different news organizations 707 00:41:59,719 --> 00:42:06,080 Speaker 1: are our democrat and leftist. We are supposed to feel 708 00:42:06,120 --> 00:42:08,439 Speaker 1: weird about having one channel that does not fall into 709 00:42:08,440 --> 00:42:11,640 Speaker 1: that there's one channel that does not fall into that category. 710 00:42:11,760 --> 00:42:14,560 Speaker 1: And there's talk radio which you're listening to now, that 711 00:42:14,600 --> 00:42:20,880 Speaker 1: does not fall into the category of dominated by the left. Well, 712 00:42:21,719 --> 00:42:24,440 Speaker 1: that there's a channel that can have such an impact. 713 00:42:24,480 --> 00:42:27,960 Speaker 1: What does that say that half the country by and 714 00:42:28,040 --> 00:42:30,840 Speaker 1: large agrees with the perspective of only one channel on 715 00:42:30,840 --> 00:42:32,759 Speaker 1: there all these other channels, and this isn't Look this 716 00:42:32,800 --> 00:42:36,960 Speaker 1: isn't a pretty old debate now and old an old discussion. 717 00:42:37,360 --> 00:42:40,000 Speaker 1: Ever since there has been an alternative media meeting a 718 00:42:40,080 --> 00:42:43,799 Speaker 1: conservative media meeting, a media that sees the world and 719 00:42:43,880 --> 00:42:49,200 Speaker 1: presents issues through a similar lens as half the country, 720 00:42:49,239 --> 00:42:52,359 Speaker 1: they always speak about it like it's some fringe, there's 721 00:42:52,360 --> 00:42:55,680 Speaker 1: some there's right wing echo chamber. Well, half the country's 722 00:42:55,760 --> 00:42:59,880 Speaker 1: right of center, roughly speaking. And don't they get to 723 00:43:00,120 --> 00:43:03,480 Speaker 1: have their views at some level, in some way at 724 00:43:03,560 --> 00:43:07,800 Speaker 1: least represented in the media. Is isn't that normal? What's bizarre? 725 00:43:07,840 --> 00:43:09,239 Speaker 1: And this is really what I'm trying to get at 726 00:43:09,280 --> 00:43:12,520 Speaker 1: with Bernstein and his commentary here. What's bizarre is that 727 00:43:12,560 --> 00:43:18,560 Speaker 1: they don't recognize what an incredible an untenable situation it 728 00:43:18,719 --> 00:43:22,360 Speaker 1: is to have complete media dominance by one party. That 729 00:43:22,360 --> 00:43:24,920 Speaker 1: that was the case for as long as it was 730 00:43:25,120 --> 00:43:31,279 Speaker 1: in this country is astonishing. And that it that you know, 731 00:43:31,440 --> 00:43:33,759 Speaker 1: in my formative years, and you know, in the in 732 00:43:33,840 --> 00:43:35,200 Speaker 1: the in the eighties, I mean, you know, you had 733 00:43:35,239 --> 00:43:39,280 Speaker 1: Reagan as president, that you could that you have Republican presidents, 734 00:43:39,320 --> 00:43:43,640 Speaker 1: and you have Republicans winning national elections to Congress and 735 00:43:43,800 --> 00:43:46,880 Speaker 1: governors and all the rest of it. Even though a 736 00:43:46,960 --> 00:43:49,920 Speaker 1: vast majority of the press corps that's informing us all 737 00:43:50,080 --> 00:43:53,719 Speaker 1: is against them. Really tells you something, doesn't it. The 738 00:43:53,800 --> 00:43:57,600 Speaker 1: country is by and large not aligned with the press. 739 00:43:57,880 --> 00:44:00,960 Speaker 1: And this is what they haven't figured out. They still 740 00:44:00,960 --> 00:44:03,200 Speaker 1: cling to this notion that they're right and the press 741 00:44:03,200 --> 00:44:06,080 Speaker 1: will come along. I mean, the people will come along 742 00:44:06,120 --> 00:44:09,759 Speaker 1: the press is right, and the people will realign with them, 743 00:44:09,840 --> 00:44:12,160 Speaker 1: because that's where the facts are. And they just have 744 00:44:12,320 --> 00:44:16,640 Speaker 1: this fundamental misunderstanding. And I think that's that's reflected in 745 00:44:17,480 --> 00:44:22,680 Speaker 1: among the greatest Democrat media darlings right now on the scene, 746 00:44:22,760 --> 00:44:25,279 Speaker 1: Jake Tapper over at CNN. He he said this when 747 00:44:25,280 --> 00:44:29,640 Speaker 1: he was speaking to j Secalo Donald Trump's one of 748 00:44:29,680 --> 00:44:32,279 Speaker 1: Donald Trump's attorneys and a and a surrogate on the 749 00:44:32,360 --> 00:44:35,480 Speaker 1: issue of the meeting and all the other things they're 750 00:44:35,480 --> 00:44:37,560 Speaker 1: happening here. This is what Tapper said to him in part. 751 00:44:37,640 --> 00:44:40,640 Speaker 1: This is just an excerpt. We're Senate in House Intelligence 752 00:44:40,640 --> 00:44:44,600 Speaker 1: committing investigations into Ukraine and the d n C and 753 00:44:44,640 --> 00:44:47,120 Speaker 1: the Clinton campaign. I'm happy to discuss it, but that's 754 00:44:47,120 --> 00:44:49,640 Speaker 1: not what's going on right now. Um. And I know 755 00:44:49,719 --> 00:44:51,680 Speaker 1: he'sn't that interesting that there isn't one, But go ahead, 756 00:44:51,760 --> 00:44:53,719 Speaker 1: go ahead, Jake, there isn't one because nobody from the 757 00:44:53,760 --> 00:44:56,120 Speaker 1: Ukrainian government met with anybody from the Clinton campaign. But 758 00:44:56,200 --> 00:44:58,960 Speaker 1: moving on from that, you're talking about the legality. And 759 00:44:58,960 --> 00:45:00,799 Speaker 1: I understand you're a lawyer, but you're also a man 760 00:45:01,440 --> 00:45:04,520 Speaker 1: of faith. Isn't it kind of important whether or not 761 00:45:04,880 --> 00:45:07,359 Speaker 1: what Donald Trump Jr. And Mana Fort and Kushner did. 762 00:45:07,600 --> 00:45:10,640 Speaker 1: Isn't it also important whether or not it's legal, whether 763 00:45:10,719 --> 00:45:13,520 Speaker 1: or not it's wrong, whether or not it's ethical. Well, 764 00:45:14,960 --> 00:45:16,759 Speaker 1: can we just take a step back here from when 765 00:45:16,800 --> 00:45:23,720 Speaker 1: you have one of the most revered Democrat pundits posing 766 00:45:23,760 --> 00:45:26,120 Speaker 1: as TV journalists, right, I mean, he's really he's a 767 00:45:26,200 --> 00:45:28,759 Speaker 1: he's a Democrat. But on TV, it's all objective, right, 768 00:45:28,800 --> 00:45:32,080 Speaker 1: that's that's the that's the guys, that's the ruse, that's 769 00:45:32,120 --> 00:45:34,880 Speaker 1: the game that's played. But here he is saying, you know, 770 00:45:34,920 --> 00:45:39,920 Speaker 1: it doesn't it matter that if it's unethical? I just 771 00:45:40,160 --> 00:45:43,400 Speaker 1: did did we think that? There was the same sense 772 00:45:43,440 --> 00:45:47,319 Speaker 1: of outrage and the same questions about ethics with the 773 00:45:47,360 --> 00:45:52,880 Speaker 1: Clinton Foundation, which anyone who's just not in the in 774 00:45:52,920 --> 00:45:56,880 Speaker 1: the business of looking buffoonish admits is is a giant 775 00:45:56,960 --> 00:45:59,879 Speaker 1: conflict of interest and a huge pay to play ski 776 00:46:00,000 --> 00:46:04,640 Speaker 1: even a slush fonding and was a polluting of charity, 777 00:46:04,680 --> 00:46:08,839 Speaker 1: was a pollution of charitable giving. Um, And it was 778 00:46:08,920 --> 00:46:11,719 Speaker 1: really all just about the Clintons, and it was a 779 00:46:11,760 --> 00:46:20,640 Speaker 1: massive global effort in narcissism and uh Clinton Clintonian grandiosity. 780 00:46:20,760 --> 00:46:23,640 Speaker 1: Uh do we get that sense? Are we really going 781 00:46:23,680 --> 00:46:26,600 Speaker 1: to be lectured by the press now about whether it 782 00:46:26,719 --> 00:46:28,920 Speaker 1: seems Remember then now they're kind of conceding or at 783 00:46:28,960 --> 00:46:31,880 Speaker 1: least a little bit saying that it doesn't seem okay, 784 00:46:31,880 --> 00:46:35,360 Speaker 1: maybe we can't get them on the illegality charge, but 785 00:46:35,640 --> 00:46:38,279 Speaker 1: it's unethical. It's slimy, that's what they want to get to. 786 00:46:39,880 --> 00:46:42,200 Speaker 1: Can we really listen to a press corps that will 787 00:46:42,239 --> 00:46:47,640 Speaker 1: defend Hillary Clinton and Bill Clinton ad infinitum. I mean 788 00:46:47,640 --> 00:46:51,600 Speaker 1: that they will defend them endlessly. Do we really have 789 00:46:51,680 --> 00:46:54,920 Speaker 1: to hear about morals and ethics from them? Now? Now? 790 00:46:55,000 --> 00:46:58,000 Speaker 1: And now we get to hear about a dirty campaign tricks? 791 00:46:58,040 --> 00:47:00,520 Speaker 1: And by the way, his comment that j Kavern made 792 00:47:00,520 --> 00:47:02,400 Speaker 1: there about how and it was very sort of flip 793 00:47:02,400 --> 00:47:05,480 Speaker 1: into and dismissive. Oh well, no one from the Ukrainian 794 00:47:05,920 --> 00:47:08,680 Speaker 1: no one from Ukraine met with any from the Clintic campaign. 795 00:47:08,760 --> 00:47:12,040 Speaker 1: Well they there were Ukrainian officials that met with an 796 00:47:12,040 --> 00:47:15,120 Speaker 1: intermediary of the Clinton campaign who was paid by the 797 00:47:15,200 --> 00:47:18,840 Speaker 1: d n C, who was getting opposition research. That probably 798 00:47:18,880 --> 00:47:21,680 Speaker 1: was the reason Paul Manafort had to get fired from 799 00:47:21,680 --> 00:47:25,600 Speaker 1: the political camp from the Trump campaign. So it wasn't 800 00:47:25,640 --> 00:47:29,160 Speaker 1: like a nothing. It actually had consequences. And this is 801 00:47:29,200 --> 00:47:32,720 Speaker 1: all the The article in Politico is, you know, Ukraine 802 00:47:32,760 --> 00:47:36,399 Speaker 1: worried about backlash for sabotaging Trump. But you know, let's 803 00:47:36,400 --> 00:47:39,400 Speaker 1: just dismiss that out of hand. Let's just dismiss it. 804 00:47:40,400 --> 00:47:42,600 Speaker 1: Political didn't realize that people would go back and look 805 00:47:42,640 --> 00:47:44,600 Speaker 1: at that reporting and figure out hold on a second, 806 00:47:44,920 --> 00:47:48,000 Speaker 1: so there was somebody getting help from the Ukrainian government 807 00:47:48,719 --> 00:47:50,719 Speaker 1: to try to help Hillary Clinton, and that person was 808 00:47:50,760 --> 00:47:54,040 Speaker 1: passing information along to the Clinton campaign and to the 809 00:47:54,120 --> 00:47:57,000 Speaker 1: d n C during the election, but not much of 810 00:47:57,000 --> 00:47:59,960 Speaker 1: an investigation into any of that. Right now, keep in mind, 811 00:48:00,280 --> 00:48:03,520 Speaker 1: I think that it's you know, it's totally fair to 812 00:48:03,560 --> 00:48:07,760 Speaker 1: get information and political information from whoever you're getting it from. 813 00:48:07,800 --> 00:48:10,480 Speaker 1: And if we had gotten north the Trump campaign had 814 00:48:10,520 --> 00:48:14,000 Speaker 1: gotten truly damning information on Hillary Clinton in that meeting, 815 00:48:14,480 --> 00:48:16,760 Speaker 1: nobody would have you know, the meeting with Donald Trump Jr. 816 00:48:16,760 --> 00:48:20,360 Speaker 1: And Kushner and Manafort, nobody would have said, after the fact, 817 00:48:20,360 --> 00:48:23,200 Speaker 1: oh my gosh, how could you ever have taken such 818 00:48:23,200 --> 00:48:25,839 Speaker 1: a meeting? Right That was the risk that they did 819 00:48:25,840 --> 00:48:27,640 Speaker 1: not foresee when they took the meeting, was that if 820 00:48:27,680 --> 00:48:29,759 Speaker 1: it was nothing, it would look like they were getting 821 00:48:29,800 --> 00:48:32,399 Speaker 1: help from the Russian government. And it certainly wasn't worth 822 00:48:32,440 --> 00:48:37,000 Speaker 1: it in that respect after the fact. But you know, 823 00:48:37,080 --> 00:48:41,200 Speaker 1: here we are getting lectures on you know, it looks 824 00:48:41,320 --> 00:48:45,960 Speaker 1: it looks unethical. They did that, the Clintons. I mean, 825 00:48:46,640 --> 00:48:49,759 Speaker 1: you have the same people who were revered in the 826 00:48:49,760 --> 00:48:52,439 Speaker 1: media who were telling us that Bill Clinton lying under 827 00:48:52,440 --> 00:48:54,880 Speaker 1: oath is not really a lie under oath because you know, 828 00:48:54,960 --> 00:48:58,359 Speaker 1: it wasn't an issue that matters to people. Now, look 829 00:48:58,360 --> 00:49:00,960 Speaker 1: at Americans who say, I don't really care about this 830 00:49:01,160 --> 00:49:04,640 Speaker 1: Donald Trump Junior meeting. I don't really care about the 831 00:49:04,680 --> 00:49:09,759 Speaker 1: implications of it for you know, future campaigns and how 832 00:49:09,760 --> 00:49:13,400 Speaker 1: they conduct themselves. I just want a strong economy, American 833 00:49:13,520 --> 00:49:17,600 Speaker 1: national defense and and secure borders, right. I mean, And 834 00:49:17,680 --> 00:49:19,920 Speaker 1: you have the media just wagging a finger in our 835 00:49:19,960 --> 00:49:24,640 Speaker 1: faces about this. You know, you, you foolhardy Trump supporters. 836 00:49:24,680 --> 00:49:28,839 Speaker 1: Can't you understand why this is so important? You just 837 00:49:29,120 --> 00:49:33,960 Speaker 1: you can't lecture us on the importance of fair play 838 00:49:34,040 --> 00:49:39,560 Speaker 1: and ethics and uh conducting yourself with a with a 839 00:49:39,600 --> 00:49:43,279 Speaker 1: certain decorum in politics and be a Clinton supporter and 840 00:49:43,320 --> 00:49:46,160 Speaker 1: be taken seriously, you can't do it. I don't want 841 00:49:46,160 --> 00:49:50,560 Speaker 1: to hear it. It's just it's laughable. And yet here 842 00:49:50,600 --> 00:49:53,719 Speaker 1: we are, here, we are, We're going to We're going 843 00:49:53,760 --> 00:49:55,160 Speaker 1: to continue to hear it. By the way, it's not 844 00:49:55,160 --> 00:49:58,879 Speaker 1: it's not gonna stop anytime soon. You know, they just 845 00:49:59,560 --> 00:50:03,360 Speaker 1: will give this up. Trump is Trump is evil. Trump 846 00:50:03,400 --> 00:50:06,520 Speaker 1: is a bad guy. His family members are bad. Everything 847 00:50:06,560 --> 00:50:10,400 Speaker 1: about them is bad. And they were crying wolf before 848 00:50:10,440 --> 00:50:12,960 Speaker 1: about this. They're gonna keep crying wolf about it going forward. 849 00:50:13,600 --> 00:50:16,480 Speaker 1: That's what That's what I see happening because this this 850 00:50:16,520 --> 00:50:18,040 Speaker 1: meeting with I thought about it more over the weekend, 851 00:50:18,040 --> 00:50:20,959 Speaker 1: this meeting of Donald Trump Jr. I just don't care. 852 00:50:21,520 --> 00:50:23,319 Speaker 1: I wish they would get the story straight and not 853 00:50:23,360 --> 00:50:25,160 Speaker 1: give the meeting even more a worker than they already have. 854 00:50:25,360 --> 00:50:29,480 Speaker 1: But it's not a strange thing for me to, you know, 855 00:50:29,520 --> 00:50:31,160 Speaker 1: to think about this in the context of a cold 856 00:50:31,200 --> 00:50:34,279 Speaker 1: civil war. We know what side the media is on, 857 00:50:34,960 --> 00:50:37,200 Speaker 1: and it's not on the side that I want to 858 00:50:37,239 --> 00:50:38,680 Speaker 1: be on right now. And I know people say, well, 859 00:50:38,680 --> 00:50:41,040 Speaker 1: you're in the media. Yeah, I mean right wing talk. 860 00:50:41,160 --> 00:50:53,200 Speaker 1: Right doesn't really count, uh not the big media. Welcome 861 00:50:53,239 --> 00:50:55,680 Speaker 1: back team Buck. As I've been telling you, it is 862 00:50:55,920 --> 00:50:59,640 Speaker 1: Made in America week. The Trump administration focusing in on 863 00:50:59,760 --> 00:51:05,600 Speaker 1: this aspect of the agenda American manufacturing. Bring back those jobs, 864 00:51:05,640 --> 00:51:09,160 Speaker 1: increasing those jobs that are already here by helping factories 865 00:51:09,160 --> 00:51:12,759 Speaker 1: to expand, and getting rid of troublesome regulation. These are 866 00:51:12,800 --> 00:51:17,080 Speaker 1: all promises the Trump administration says they will follow up 867 00:51:17,120 --> 00:51:20,320 Speaker 1: on after a campaign that made these center points. Well, 868 00:51:20,440 --> 00:51:23,280 Speaker 1: we're joined now by a company that has been featured 869 00:51:23,520 --> 00:51:27,439 Speaker 1: in the Made in America Week. Liberty Bottle Works. They're 870 00:51:27,440 --> 00:51:30,480 Speaker 1: the only metal bottle made in the USA. They've been 871 00:51:30,520 --> 00:51:33,640 Speaker 1: showcased in the White House is Made in American campaign. 872 00:51:33,680 --> 00:51:36,920 Speaker 1: We're joined by Sean Hill, whose Liberty Bottle Works Director 873 00:51:37,120 --> 00:51:40,439 Speaker 1: of Sales. Sean, thank you for calling in, Hey Bucks, 874 00:51:40,440 --> 00:51:41,640 Speaker 1: thanks so much for having me on the show. I 875 00:51:41,640 --> 00:51:43,680 Speaker 1: appreciate it all right, Well, tell us it's It's Made 876 00:51:43,680 --> 00:51:45,800 Speaker 1: in America Week, my friend, tell us about your company, 877 00:51:45,800 --> 00:51:48,480 Speaker 1: how this idea came about and why made it America 878 00:51:48,520 --> 00:51:51,879 Speaker 1: is so important to you. Well, you know, our our 879 00:51:51,920 --> 00:51:54,360 Speaker 1: company was founded on you know, the home made in 880 00:51:54,400 --> 00:51:59,200 Speaker 1: America principles and doing things the American way, American quality UM. 881 00:51:59,280 --> 00:52:01,279 Speaker 1: And that's why all of the equipment that we use 882 00:52:01,520 --> 00:52:04,000 Speaker 1: is American made and custom made for us. All of 883 00:52:04,040 --> 00:52:06,759 Speaker 1: the materials we use our American made UM. And then 884 00:52:06,800 --> 00:52:10,040 Speaker 1: we do all of our manufacturing right there in Washington State, 885 00:52:10,120 --> 00:52:13,600 Speaker 1: Union Union Gap, Washington UM and something we're really passionate 886 00:52:13,600 --> 00:52:15,759 Speaker 1: about because when you buy a Liberty bottle, you're not 887 00:52:15,800 --> 00:52:18,360 Speaker 1: just supporting, you know, thirty five jobs at our factory, 888 00:52:18,400 --> 00:52:21,000 Speaker 1: but you're also supporting the jobs at the factory where 889 00:52:21,040 --> 00:52:23,839 Speaker 1: we source our metal. In the factory where we manufacture 890 00:52:23,840 --> 00:52:26,680 Speaker 1: our caps, and and it's all right here in the States. 891 00:52:26,760 --> 00:52:29,720 Speaker 1: And so you're supporting hundreds of jobs with every purchase 892 00:52:29,760 --> 00:52:32,440 Speaker 1: instead of just one bottling that ripple effect that we 893 00:52:32,640 --> 00:52:36,080 Speaker 1: are passionate about and we're excited about. Um, well, what 894 00:52:36,120 --> 00:52:38,319 Speaker 1: do you where does most of the industry I mean, 895 00:52:38,360 --> 00:52:41,200 Speaker 1: so you're the only Liberty bottle works, is the only 896 00:52:41,239 --> 00:52:43,640 Speaker 1: metal bottle made? And you know in the USA where 897 00:52:43,640 --> 00:52:46,440 Speaker 1: are most bottles made? You know, who are the dominant 898 00:52:46,440 --> 00:52:49,640 Speaker 1: players internationally in this industry? And why is it so 899 00:52:49,719 --> 00:52:51,799 Speaker 1: hard for American companies? And I assume you're the only 900 00:52:51,800 --> 00:52:53,680 Speaker 1: one because this is a difficult thing to do. Why 901 00:52:53,760 --> 00:52:57,240 Speaker 1: is that the case? It is? Um? You know, the sourcing, 902 00:52:57,280 --> 00:52:59,480 Speaker 1: the equipment and the materials. You know, we want the 903 00:52:59,560 --> 00:53:04,200 Speaker 1: highest quality, food grade, really healthiest materials on the market, 904 00:53:04,239 --> 00:53:07,440 Speaker 1: and they're expensive. Um. And then and then the equipment 905 00:53:07,440 --> 00:53:10,360 Speaker 1: and manufacturing is also very expensive. And so for that reason, 906 00:53:10,960 --> 00:53:15,520 Speaker 1: everything else is manufactured overseas. It's about is in China, 907 00:53:16,200 --> 00:53:19,040 Speaker 1: a few in Mexico and then uh in in other 908 00:53:19,440 --> 00:53:23,719 Speaker 1: Asian countries, um in India as well. So you know, 909 00:53:23,920 --> 00:53:28,000 Speaker 1: it's really because we make everything from scratch in our 910 00:53:28,040 --> 00:53:31,279 Speaker 1: factory we know every molecule and every ingredient that goes 911 00:53:31,320 --> 00:53:33,120 Speaker 1: in it, so we can we know that it is 912 00:53:33,120 --> 00:53:35,000 Speaker 1: the healthiest on the market, and we know that it 913 00:53:35,160 --> 00:53:37,200 Speaker 1: is the greenest on the market because we're not polluting 914 00:53:37,239 --> 00:53:40,680 Speaker 1: the environment when we manufactured. Tell me, tell me about 915 00:53:40,680 --> 00:53:43,080 Speaker 1: what what some of you know, let's without having to 916 00:53:43,120 --> 00:53:45,560 Speaker 1: pick on any particular country here, what is it? What 917 00:53:45,719 --> 00:53:50,839 Speaker 1: is shottle metal a shoddy rather metal bottle manufacturing? Mean, 918 00:53:50,960 --> 00:53:53,279 Speaker 1: you know, what are some of the environmental damages and 919 00:53:53,280 --> 00:53:54,800 Speaker 1: also what are some of the problems for folks you 920 00:53:54,880 --> 00:53:58,560 Speaker 1: might be getting those products? Well, you know, we tend 921 00:53:58,640 --> 00:54:00,279 Speaker 1: not to you know, we don't like the because on 922 00:54:00,320 --> 00:54:02,799 Speaker 1: the negative, but the facts of the matter is, you know, 923 00:54:02,840 --> 00:54:06,239 Speaker 1: the e p A can't regulate what material is going 924 00:54:06,400 --> 00:54:09,520 Speaker 1: into the bottles that are made overseas. Um. You know 925 00:54:09,640 --> 00:54:12,600 Speaker 1: a lot of times when when you're smelting metal down, 926 00:54:13,080 --> 00:54:16,520 Speaker 1: it is really easy to throw other metals in with 927 00:54:16,640 --> 00:54:18,920 Speaker 1: stayless steel and smells it all together to lower the 928 00:54:18,960 --> 00:54:22,360 Speaker 1: cost and stretch it out. Um. And and that happens 929 00:54:22,360 --> 00:54:25,360 Speaker 1: a lot of times overseas now and not everybody um 930 00:54:25,440 --> 00:54:27,160 Speaker 1: And you know, I can't point fingers at all, but 931 00:54:27,280 --> 00:54:30,160 Speaker 1: again you know, I know where our metal comes from, 932 00:54:30,200 --> 00:54:32,000 Speaker 1: I know the men and women who make it, and 933 00:54:32,040 --> 00:54:34,799 Speaker 1: I know exactly what's in it, and that that is 934 00:54:34,840 --> 00:54:37,719 Speaker 1: what we really feel is the American difference. And you 935 00:54:37,719 --> 00:54:41,239 Speaker 1: guys are environmentally friendly company as well. Over Liberty Bottle Works, right, 936 00:54:41,239 --> 00:54:45,600 Speaker 1: how so? Uh well, you know, we actually just originally 937 00:54:45,600 --> 00:54:49,200 Speaker 1: started using completely recycled material and then it was harder 938 00:54:49,239 --> 00:54:52,560 Speaker 1: and harder to source, and we just started again. We 939 00:54:52,640 --> 00:54:56,160 Speaker 1: have a new supplier, Alcoha Metals that's awesome, uh and 940 00:54:56,160 --> 00:54:59,959 Speaker 1: and they are giving us recycled aluminum UM and then 941 00:55:00,000 --> 00:55:02,840 Speaker 1: all of our scrap aluminum and our factory we have 942 00:55:03,000 --> 00:55:06,919 Speaker 1: different stations set up that collect, harvest, vacuum up every 943 00:55:07,000 --> 00:55:10,240 Speaker 1: every shred and every ounce of extra material and recycle 944 00:55:10,280 --> 00:55:12,440 Speaker 1: it so we don't throw any of it away, so 945 00:55:12,480 --> 00:55:15,560 Speaker 1: it goes back into the creation of more metal for 946 00:55:15,680 --> 00:55:18,280 Speaker 1: more bottles. You're in d C today, Shawn, for President 947 00:55:18,320 --> 00:55:21,759 Speaker 1: Trump's Made in America push? How was that? And uh, well, 948 00:55:21,800 --> 00:55:24,240 Speaker 1: you know, what are your thoughts? You know, it actually 949 00:55:24,280 --> 00:55:26,200 Speaker 1: was really amazing. It was neat to see the other 950 00:55:26,680 --> 00:55:29,840 Speaker 1: companies represented in the other states represented UM and it 951 00:55:29,920 --> 00:55:33,000 Speaker 1: really gave us encouragement to know that We're not alone. Um, 952 00:55:33,040 --> 00:55:35,719 Speaker 1: there's other companies that are facing the same issues that 953 00:55:35,800 --> 00:55:38,480 Speaker 1: we face, the struggles that you know we face, and 954 00:55:38,480 --> 00:55:41,719 Speaker 1: the competition overseas. Uh And and you know, as long 955 00:55:41,719 --> 00:55:44,440 Speaker 1: as we can band together as a voice. Um. You know, 956 00:55:44,480 --> 00:55:47,239 Speaker 1: it's not just one person or one administration. It's us 957 00:55:47,280 --> 00:55:49,880 Speaker 1: as a company coming together and recognizing, hey, we need 958 00:55:49,920 --> 00:55:53,160 Speaker 1: to support American jobs, we support our own economy. It's 959 00:55:53,160 --> 00:55:56,000 Speaker 1: our responsibility. It's not not somebody else's or the government. 960 00:55:56,000 --> 00:55:59,000 Speaker 1: It's our responsibilities to support each other and grow together 961 00:55:59,040 --> 00:56:00,560 Speaker 1: as a nation. No. No, What are some of the 962 00:56:00,640 --> 00:56:03,600 Speaker 1: challenges specifically of of making things here in America that 963 00:56:03,719 --> 00:56:05,680 Speaker 1: you see from your industry or that you're just aware 964 00:56:05,719 --> 00:56:08,440 Speaker 1: of from being involved with a made an American company 965 00:56:08,440 --> 00:56:11,400 Speaker 1: and the manufacturing process, and what would help some of 966 00:56:11,440 --> 00:56:14,480 Speaker 1: those problems? Well, you know, a huge, a huge part 967 00:56:14,480 --> 00:56:17,200 Speaker 1: of it is the cost um you know, because people 968 00:56:17,200 --> 00:56:20,400 Speaker 1: are so used to purchasing things from overseas that they 969 00:56:20,680 --> 00:56:23,479 Speaker 1: they associate a value with it, and you know, they're 970 00:56:23,520 --> 00:56:25,720 Speaker 1: just when it comes time to pay the cash register, 971 00:56:25,760 --> 00:56:28,000 Speaker 1: I'd rather pay five dollars than twenty dollars any day 972 00:56:28,000 --> 00:56:30,319 Speaker 1: of the week. Um. And so I think that if 973 00:56:30,360 --> 00:56:33,640 Speaker 1: we can source more raw materials here in the States, 974 00:56:33,680 --> 00:56:36,240 Speaker 1: that's going to help lower the cost. You're not paying 975 00:56:36,480 --> 00:56:39,640 Speaker 1: transit fees and and everything with that, and so that 976 00:56:39,719 --> 00:56:42,239 Speaker 1: will help lower the cost. And then just making it 977 00:56:42,280 --> 00:56:45,920 Speaker 1: a mindset of you know, the overall value of the 978 00:56:45,960 --> 00:56:48,960 Speaker 1: product that you're getting, um, and then you know, as 979 00:56:49,040 --> 00:56:52,359 Speaker 1: sales increased and cost and decrease and uh. And so 980 00:56:52,400 --> 00:56:55,000 Speaker 1: it's something we're really excited to see. Shawn Hill, director 981 00:56:55,040 --> 00:56:58,360 Speaker 1: of sales for Liberty Bottleworks. Is there a website for 982 00:56:58,360 --> 00:57:03,040 Speaker 1: you guys. Yeah, www dot Liberty bottle dot com. You 983 00:57:03,040 --> 00:57:06,440 Speaker 1: can also catch us at Liberty Bottles and hashtag Liberty 984 00:57:06,440 --> 00:57:08,600 Speaker 1: Bottles as well. All right, thank you so much on me. 985 00:57:08,640 --> 00:57:11,360 Speaker 1: Appreciate it. I appreciate the work to do in the 986 00:57:11,360 --> 00:57:17,560 Speaker 1: support and have a great night. Thank you too. He's 987 00:57:17,640 --> 00:57:24,520 Speaker 1: holding the line for America. Buck Sexton is back. Channina 988 00:57:24,640 --> 00:57:31,120 Speaker 1: has made a former Guantanamo Bay prisoner and self professed 989 00:57:31,280 --> 00:57:36,920 Speaker 1: confessed terrorists with connections to Al Qaeda a multi millionaire. 990 00:57:37,280 --> 00:57:41,600 Speaker 1: Uh it's just hard to believe even as you read 991 00:57:41,760 --> 00:57:45,600 Speaker 1: the story, but here it is. Canadian Prime Minister Justin 992 00:57:45,680 --> 00:57:50,919 Speaker 1: Trudeau gave Omar Cotter a big payout a reported eight 993 00:57:51,000 --> 00:57:55,840 Speaker 1: million dollars alleging civil rights violations. So what happened here 994 00:57:55,880 --> 00:57:58,280 Speaker 1: is Omar Cotter For those who don't know some of 995 00:57:58,320 --> 00:58:03,400 Speaker 1: the backstory is was a young man I think he 996 00:58:03,600 --> 00:58:08,120 Speaker 1: was fifty. He was fifteen when in in Afghanistan. He 997 00:58:08,160 --> 00:58:09,520 Speaker 1: was born in Canada, by the way, so he was 998 00:58:09,520 --> 00:58:11,720 Speaker 1: a Canadian citizen. But he was fifteen. He was in 999 00:58:11,760 --> 00:58:15,760 Speaker 1: Afghanistan and he threw a grenade during a firefight that 1000 00:58:15,920 --> 00:58:21,040 Speaker 1: killed U. S Army Sergeant Christopher Spear, and he also 1001 00:58:21,160 --> 00:58:28,480 Speaker 1: grievously wounded another US soldier and Carter then went to Guantanamo. 1002 00:58:28,600 --> 00:58:36,960 Speaker 1: Carter was held there and confessed to having connections to 1003 00:58:37,120 --> 00:58:42,400 Speaker 1: terrorists UM and Oh. By the way, Lane Morris is 1004 00:58:42,440 --> 00:58:45,320 Speaker 1: the individual who was blinded in that he was blinded 1005 00:58:45,320 --> 00:58:50,520 Speaker 1: in the firefight, blinded by Omar Carter. So Carter gets 1006 00:58:50,640 --> 00:58:54,080 Speaker 1: let out of Guantanamo, sent back to Canada, and the 1007 00:58:54,120 --> 00:58:59,280 Speaker 1: Canadian government gives him eight million dollars. He sued for 1008 00:58:59,360 --> 00:59:06,520 Speaker 1: sixteen million dollars in after he had been released on bail. 1009 00:59:07,600 --> 00:59:10,800 Speaker 1: And you know, here we are, We're still fighting in Iraq, 1010 00:59:10,960 --> 00:59:16,080 Speaker 1: We're still fighting in Afghanistan. We have the constant threat 1011 00:59:16,800 --> 00:59:21,320 Speaker 1: of terrorism, of je hottest terrorism looming over our societies. 1012 00:59:21,800 --> 00:59:25,840 Speaker 1: Here are somebody whose father was talking with Omar Cottor 1013 00:59:25,920 --> 00:59:31,200 Speaker 1: now his father was a known Al Qaeda associate. His 1014 00:59:31,400 --> 00:59:34,880 Speaker 1: family was radicalized. They were they were Jehotti. They were 1015 00:59:34,920 --> 00:59:39,600 Speaker 1: in Afghanistan trying to assist the Taliban and there terrorist allies. 1016 00:59:40,440 --> 00:59:44,600 Speaker 1: And he killed a soldier of the United States military, 1017 00:59:44,640 --> 00:59:49,200 Speaker 1: blinded another one. And he's held the Guantanamo Bay of course, 1018 00:59:49,200 --> 00:59:52,840 Speaker 1: says he was terribly mistreated at Guantanamo Bay, and then 1019 00:59:52,920 --> 00:59:57,760 Speaker 1: is sent back to Canada. He's on bail and gets 1020 00:59:57,840 --> 01:00:05,160 Speaker 1: eight million dollars an apology from the Canadian government. Uh. 1021 01:00:05,320 --> 01:00:08,240 Speaker 1: And you've got people I read these editorials from from 1022 01:00:08,280 --> 01:00:14,280 Speaker 1: Canadians who are saying that that Cotter was failed by 1023 01:00:14,320 --> 01:00:17,360 Speaker 1: the Canadian government and that Canada should be ashamed, and 1024 01:00:17,400 --> 01:00:22,440 Speaker 1: that this is they're making uh necessary recompense here. I mean, 1025 01:00:22,640 --> 01:00:26,479 Speaker 1: it's just it's just insanity to me. I mean eight 1026 01:00:26,560 --> 01:00:29,120 Speaker 1: million dollars everybody. I mean, he's now a rich man. 1027 01:00:30,160 --> 01:00:35,320 Speaker 1: He's thirty years old, and he is a murderer. By 1028 01:00:35,360 --> 01:00:37,200 Speaker 1: the way, for those ye say, oh buck, who he's 1029 01:00:37,240 --> 01:00:40,200 Speaker 1: he's fifteen. Uh, he was fifteen at the time of 1030 01:00:40,240 --> 01:00:44,320 Speaker 1: the firefight. We have tried people in this country for 1031 01:00:44,440 --> 01:00:48,520 Speaker 1: murder as adults younger than fifteen, and this is somebody 1032 01:00:48,600 --> 01:00:50,920 Speaker 1: who would be tried for murder as well as the 1033 01:00:50,960 --> 01:00:54,600 Speaker 1: grievous wounding, as I said, the blinding of another U. S. 1034 01:00:54,720 --> 01:00:59,440 Speaker 1: Army soldier. And it's it's just appalling. I mean, I 1035 01:01:00,040 --> 01:01:03,960 Speaker 1: don't know what it will take for people to wake 1036 01:01:04,080 --> 01:01:07,280 Speaker 1: up here and for the left and remember this is Canada, 1037 01:01:07,320 --> 01:01:11,280 Speaker 1: it's not the United States, so let's just be clear 1038 01:01:11,360 --> 01:01:14,520 Speaker 1: on that. But for the Canadian government to write a 1039 01:01:14,640 --> 01:01:18,080 Speaker 1: huge check taxpayer cash go to this guy and apologize 1040 01:01:18,120 --> 01:01:22,640 Speaker 1: to him. Uh, is is just it's just beyond the pale. 1041 01:01:22,680 --> 01:01:26,640 Speaker 1: Now that the upside of this, such as one can 1042 01:01:26,680 --> 01:01:33,120 Speaker 1: find a thing here, is that the widow of Sergeant 1043 01:01:33,760 --> 01:01:39,480 Speaker 1: spear Um has sued Cotter, and I believe she already 1044 01:01:39,600 --> 01:01:43,560 Speaker 1: she already won a judgment, but Cottor didn't have any assets, 1045 01:01:43,960 --> 01:01:48,000 Speaker 1: and so now there may be assets for her. Yeah, 1046 01:01:48,040 --> 01:01:50,600 Speaker 1: she won a hundred and thirty four million dollar wrongful 1047 01:01:50,680 --> 01:01:54,360 Speaker 1: death judgment against Carter in Utah a couple of years ago, 1048 01:01:55,000 --> 01:01:57,800 Speaker 1: so now there may in fact be assets for her 1049 01:01:58,000 --> 01:02:02,240 Speaker 1: to go after. But so in a sense, the widow 1050 01:02:02,360 --> 01:02:06,000 Speaker 1: of Sergein Spear may get money here, which at least 1051 01:02:06,000 --> 01:02:09,600 Speaker 1: at least you know, there'll be some some upside to 1052 01:02:10,040 --> 01:02:14,080 Speaker 1: this bizarre decision by the by the Canadian government to 1053 01:02:14,120 --> 01:02:16,080 Speaker 1: do this. And it's Trudeau though he's a very left wing, 1054 01:02:16,160 --> 01:02:20,960 Speaker 1: very very progressive guy. Um. And and look, it's it's 1055 01:02:21,040 --> 01:02:25,280 Speaker 1: known that detainees at Gitmo and elsewhere in in the 1056 01:02:25,280 --> 01:02:28,640 Speaker 1: War on Terror alleged mistreatment. This is not this is 1057 01:02:28,680 --> 01:02:31,720 Speaker 1: nothing new. We've heard about this many times, um, But 1058 01:02:32,280 --> 01:02:34,400 Speaker 1: eight million dollars, I mean, what do you get for 1059 01:02:34,520 --> 01:02:37,840 Speaker 1: mistreatment as a US citizen in a in a federal prison. 1060 01:02:37,880 --> 01:02:42,080 Speaker 1: By the way, I'm always amazed at how the media 1061 01:02:42,160 --> 01:02:46,120 Speaker 1: treats these terrorists as though they're you know, they're they're 1062 01:02:46,160 --> 01:02:50,640 Speaker 1: just on the edge of of you know, that they 1063 01:02:50,760 --> 01:02:53,200 Speaker 1: can't handle these difficult conditions they're put on too. And 1064 01:02:53,240 --> 01:02:59,280 Speaker 1: everything we throw US citizens in terrifying uh prisons in 1065 01:02:59,320 --> 01:03:03,400 Speaker 1: this country where there are people, you know, in our 1066 01:03:03,440 --> 01:03:06,040 Speaker 1: pop culture, people always making comments making jokes which are 1067 01:03:06,080 --> 01:03:09,480 Speaker 1: not funny by the way at all about sexual assaults 1068 01:03:09,720 --> 01:03:13,320 Speaker 1: uh in in federal prisons. You know, rape in prison 1069 01:03:13,400 --> 01:03:15,600 Speaker 1: and all this, and and you know, when was the 1070 01:03:15,680 --> 01:03:19,320 Speaker 1: last time that a US citizen who isn't a murder 1071 01:03:19,320 --> 01:03:21,360 Speaker 1: review our soldiers and isn't a terrorists gotta check for 1072 01:03:21,400 --> 01:03:24,960 Speaker 1: eight million dollars. What was the last time a Canadian citizen, 1073 01:03:24,960 --> 01:03:26,520 Speaker 1: I know it's a Canadian government, was the last time 1074 01:03:26,520 --> 01:03:29,680 Speaker 1: a Canadian citizen gotta check for mistreatment in the prison 1075 01:03:29,720 --> 01:03:33,560 Speaker 1: system for eight million dollars? I mean, come on, this 1076 01:03:33,680 --> 01:03:40,280 Speaker 1: is just outrageous. And I have to think that that terrorists, 1077 01:03:40,800 --> 01:03:46,200 Speaker 1: jihadists are our mortal enemies. See this behavior, Uh, see 1078 01:03:46,240 --> 01:03:48,520 Speaker 1: what's going on here? These these headlines and that that 1079 01:03:48,640 --> 01:03:51,160 Speaker 1: cotter omer cotter and Canada's getting eight million dollars of 1080 01:03:51,240 --> 01:03:53,840 Speaker 1: taxper money, and they got to think to themselves, you know, 1081 01:03:54,040 --> 01:03:55,520 Speaker 1: this is all we really need. We just need the 1082 01:03:55,560 --> 01:04:00,520 Speaker 1: West to self doubt. We just need Canada, America, We 1083 01:04:00,560 --> 01:04:03,920 Speaker 1: need the countries that are the leading lights of freedom 1084 01:04:04,080 --> 01:04:08,640 Speaker 1: and that are the centerpieces of Western civilization. We need 1085 01:04:08,680 --> 01:04:11,800 Speaker 1: them to think that they're no better than the rest, 1086 01:04:12,280 --> 01:04:15,360 Speaker 1: that in fact, they aren't nearly as good as they 1087 01:04:15,360 --> 01:04:17,680 Speaker 1: think they are, that they cause a lot of problems 1088 01:04:17,680 --> 01:04:20,280 Speaker 1: in the world, and they have a lot of making 1089 01:04:20,360 --> 01:04:24,200 Speaker 1: up to do for their past wrongs and their their 1090 01:04:24,280 --> 01:04:29,760 Speaker 1: transgressions should be met with with contempt by the rest 1091 01:04:29,800 --> 01:04:33,160 Speaker 1: of the world. Uh, if they believe that, meaning if 1092 01:04:33,160 --> 01:04:36,880 Speaker 1: we believe that about ourselves, I think the terrorists, the 1093 01:04:36,960 --> 01:04:42,200 Speaker 1: jihadists are in a long term strong position against us. 1094 01:04:43,400 --> 01:04:46,360 Speaker 1: Trump mentioned this in his speech about Western civilization in Poland. 1095 01:04:46,400 --> 01:04:49,280 Speaker 1: You know, do we have the will to defend ourselves 1096 01:04:49,280 --> 01:04:52,800 Speaker 1: and our civil civilization or not? If we really think 1097 01:04:52,920 --> 01:04:57,120 Speaker 1: that we are no different from some authoritarian regime that 1098 01:04:57,160 --> 01:05:00,360 Speaker 1: throws people into dark dungeons, and if we really think 1099 01:05:00,400 --> 01:05:05,600 Speaker 1: that we should be writing checks to murderers and terrorists 1100 01:05:05,640 --> 01:05:09,040 Speaker 1: because somehow that that that proves a moral support superiority. 1101 01:05:09,040 --> 01:05:11,840 Speaker 1: I know this is Canada, but Canada's are as close 1102 01:05:11,880 --> 01:05:14,480 Speaker 1: an ally as we have and mirrors us in many ways, 1103 01:05:15,280 --> 01:05:16,880 Speaker 1: and that this can happen there makes it feel like 1104 01:05:16,920 --> 01:05:18,520 Speaker 1: it wouldn't be that hard for it to happen here. 1105 01:05:19,200 --> 01:05:21,360 Speaker 1: I mean here, we got the president United States, when 1106 01:05:21,400 --> 01:05:25,800 Speaker 1: it was President Obama, Uh, always downplaying terrorism and always 1107 01:05:25,840 --> 01:05:28,440 Speaker 1: making it seem like it was less less of a 1108 01:05:28,440 --> 01:05:31,000 Speaker 1: concern and less of an issue. So our lack of 1109 01:05:31,040 --> 01:05:34,040 Speaker 1: confidence in our country and in our values and our 1110 01:05:34,080 --> 01:05:40,200 Speaker 1: willingness and Canada's willingness to view itself as needing such 1111 01:05:40,240 --> 01:05:43,080 Speaker 1: intense corrective measures when it comes to war on terror 1112 01:05:44,080 --> 01:05:46,640 Speaker 1: is a vulnerability and it's a vulnerability that our enemies, 1113 01:05:46,680 --> 01:05:49,680 Speaker 1: no doubt, are are going to exploit. And it's it's 1114 01:05:49,720 --> 01:05:53,600 Speaker 1: deeply troubling. Alright, team, we will hit a break here, 1115 01:05:53,600 --> 01:06:01,680 Speaker 1: We'll be back and just diffuse. Stay with me. Over 1116 01:06:01,720 --> 01:06:04,400 Speaker 1: the break, it came to my attention that there was 1117 01:06:04,440 --> 01:06:08,640 Speaker 1: an issue about dress code. I'll be honest, Uh, this 1118 01:06:08,720 --> 01:06:10,600 Speaker 1: is not something that was covered in my new speakership 1119 01:06:10,640 --> 01:06:15,480 Speaker 1: orientation ceremony. Um. The Sergeant of Arms was simply enforcing 1120 01:06:15,480 --> 01:06:18,360 Speaker 1: the same interpretation of the rules as under my predecessors. 1121 01:06:19,000 --> 01:06:22,120 Speaker 1: This is nothing new and certainly not something that I devised. 1122 01:06:22,640 --> 01:06:24,960 Speaker 1: At the same time, that doesn't mean that enforcement couldn't 1123 01:06:25,000 --> 01:06:27,800 Speaker 1: stand to be a bit modernized. So that is why 1124 01:06:27,840 --> 01:06:29,960 Speaker 1: we will be working with the Sergeant of Arms to 1125 01:06:30,120 --> 01:06:35,000 Speaker 1: ensure the enforcement of appropriate business attire is updated. Some 1126 01:06:35,080 --> 01:06:39,600 Speaker 1: of you may now doubt recall that ridiculous controversy where 1127 01:06:39,760 --> 01:06:43,440 Speaker 1: people were saying that Speaker of the House Paul Ryan 1128 01:06:43,680 --> 01:06:48,840 Speaker 1: because he is a a sexist, misogynist, you know, hashtag 1129 01:06:48,880 --> 01:06:55,760 Speaker 1: man splaining, hashtag Ryan splaining, hashtag patriarchy. That there was 1130 01:06:55,800 --> 01:06:59,760 Speaker 1: a dress code for women who were visiting the Speaker 1131 01:06:59,800 --> 01:07:01,720 Speaker 1: of the House and the Speaker's lobby, and that the 1132 01:07:01,800 --> 01:07:06,680 Speaker 1: Sergeant at Arms had enforced this code. And immediately the 1133 01:07:06,680 --> 01:07:08,640 Speaker 1: press jumped on this. For some people in the press 1134 01:07:08,720 --> 01:07:11,840 Speaker 1: jumped on this as evidence of all the things I 1135 01:07:11,880 --> 01:07:17,040 Speaker 1: just said of the Handmaid's Tail made real for our time, 1136 01:07:17,120 --> 01:07:21,040 Speaker 1: you know about that dystopian future where women are oppressed 1137 01:07:21,120 --> 01:07:24,760 Speaker 1: sex slaves, and people just went went crazy on it. 1138 01:07:25,040 --> 01:07:27,720 Speaker 1: And then within short order, thanks to the Internet, we 1139 01:07:27,800 --> 01:07:30,480 Speaker 1: of course we're able to find out that there was 1140 01:07:30,640 --> 01:07:34,919 Speaker 1: nothing strange about Paul Ryan's rule, because it wasn't Paul 1141 01:07:35,000 --> 01:07:37,840 Speaker 1: Ryan's rule. It was a hundred year old dress code 1142 01:07:38,160 --> 01:07:42,280 Speaker 1: that was in effect for Nancy Pelosi's entire tenure as 1143 01:07:42,320 --> 01:07:45,000 Speaker 1: Speaker of the House without so much as a without 1144 01:07:45,040 --> 01:07:48,720 Speaker 1: so much as a boo hoo from people, Oh, I 1145 01:07:48,920 --> 01:07:51,280 Speaker 1: just like really know why I have to do the 1146 01:07:51,360 --> 01:07:54,720 Speaker 1: Nancy Pelosi dress code. You know, you figured that if 1147 01:07:54,720 --> 01:07:58,600 Speaker 1: it was so onerous and so horrific and oppressive, someone 1148 01:07:58,680 --> 01:08:01,680 Speaker 1: might have figured this out years ago when a a 1149 01:08:01,800 --> 01:08:04,160 Speaker 1: woman was in fact the one who would have been 1150 01:08:04,200 --> 01:08:07,760 Speaker 1: in charge of whether there was a dress code for 1151 01:08:07,880 --> 01:08:11,000 Speaker 1: those visiting the Speaker of the House. Uh. But but 1152 01:08:11,040 --> 01:08:14,560 Speaker 1: of course not. And by the way, the prohibition was 1153 01:08:14,640 --> 01:08:18,479 Speaker 1: on whether you women had to have sleeves on their 1154 01:08:18,600 --> 01:08:21,840 Speaker 1: dresses and no open toad shoes. I don't get the 1155 01:08:21,880 --> 01:08:24,120 Speaker 1: no open toad shoes thing. I will tell you that 1156 01:08:24,200 --> 01:08:29,479 Speaker 1: a senior NYPD person on the civilian side was reputed 1157 01:08:29,520 --> 01:08:32,080 Speaker 1: and I won't use his name because I don't know 1158 01:08:32,120 --> 01:08:34,439 Speaker 1: if this was true, but I was told that he 1159 01:08:34,520 --> 01:08:39,880 Speaker 1: saw a guy show up for my office for his 1160 01:08:39,960 --> 01:08:44,200 Speaker 1: paperwork processing at police headquarters at one police plaza in 1161 01:08:44,320 --> 01:08:48,559 Speaker 1: shorts and fired the guy, or not fired him, but 1162 01:08:48,720 --> 01:08:52,400 Speaker 1: rescinded his offer of a job because he showed up 1163 01:08:52,400 --> 01:08:54,640 Speaker 1: to one police plaza on his day off, mind you, 1164 01:08:54,720 --> 01:08:59,600 Speaker 1: to get processing paperwork wearing shorts. So something that was 1165 01:08:59,640 --> 01:09:00,960 Speaker 1: the story. I don't know if it was just told 1166 01:09:00,960 --> 01:09:02,800 Speaker 1: to frighten new hires, but that was the story that 1167 01:09:02,840 --> 01:09:05,559 Speaker 1: I was told, and knowing the guy in question, it 1168 01:09:05,600 --> 01:09:08,720 Speaker 1: would not have surprised me one bit. Some people take 1169 01:09:08,720 --> 01:09:11,640 Speaker 1: the whole dress code thing very seriously. I'm always of 1170 01:09:11,840 --> 01:09:13,800 Speaker 1: two minds about it. On the one hand, I think 1171 01:09:13,880 --> 01:09:18,640 Speaker 1: that address code can be a very useful thing. I 1172 01:09:18,680 --> 01:09:21,639 Speaker 1: think that it does send messages both to the people 1173 01:09:21,720 --> 01:09:24,719 Speaker 1: around and to you yourself. I think that business attire 1174 01:09:25,520 --> 01:09:29,680 Speaker 1: creates more of an atmosphere of conducting business in certain situations. 1175 01:09:30,760 --> 01:09:34,080 Speaker 1: But I'm also somebody who's all about comfortable shoes, and 1176 01:09:35,120 --> 01:09:39,439 Speaker 1: I yes, I I go and buy Champion shorts a 1177 01:09:39,560 --> 01:09:42,200 Speaker 1: size larger than I need to, and just get pairs 1178 01:09:42,200 --> 01:09:44,680 Speaker 1: of them for like ten dollars off of Amazon, and 1179 01:09:44,760 --> 01:09:48,400 Speaker 1: just keep lots of those Champion cotton shorts so I 1180 01:09:48,400 --> 01:09:52,120 Speaker 1: can just chill whenever I want. I mean, I've maybe 1181 01:09:52,560 --> 01:09:55,479 Speaker 1: I can neither confirm nor deny that right now here 1182 01:09:55,520 --> 01:09:58,400 Speaker 1: in the Freedom Hut. Maybe there's a pair of sweatpants 1183 01:09:58,400 --> 01:10:01,439 Speaker 1: that I keep here, and and maybe maybe there's two 1184 01:10:01,439 --> 01:10:04,840 Speaker 1: pairs of sweatpants. Maybe I've got an oversized Commy Bear 1185 01:10:04,920 --> 01:10:06,920 Speaker 1: T shirt that I throw on if I feel like it. 1186 01:10:07,080 --> 01:10:10,839 Speaker 1: I mean, you know, neither confirmed nor deny, So sometimes 1187 01:10:10,840 --> 01:10:12,759 Speaker 1: a dress code. That's one of the great things about radio, 1188 01:10:12,800 --> 01:10:15,160 Speaker 1: by the way, is it's all about your voice and comfort. 1189 01:10:15,200 --> 01:10:18,840 Speaker 1: And you can't see. I could be sitting here right 1190 01:10:18,840 --> 01:10:21,479 Speaker 1: now and you guys wouldn't even know. I could be 1191 01:10:21,920 --> 01:10:25,800 Speaker 1: wearing a Snuggy, which I don't know if they still 1192 01:10:25,840 --> 01:10:28,280 Speaker 1: sell those, but they you know, they were like the 1193 01:10:28,320 --> 01:10:31,479 Speaker 1: blanket that you wear, or I could be sitting here 1194 01:10:31,920 --> 01:10:34,760 Speaker 1: wearing PJS that have the feet built in. You know, 1195 01:10:34,800 --> 01:10:37,800 Speaker 1: you just don't know. That's why radio is great. But 1196 01:10:37,880 --> 01:10:41,320 Speaker 1: dress codes, I think can be very useful. I think 1197 01:10:41,360 --> 01:10:45,760 Speaker 1: they also sometimes are a bit onerous. I will tell 1198 01:10:45,800 --> 01:10:48,200 Speaker 1: you that jacket and tie is never comfortable for men, 1199 01:10:48,600 --> 01:10:51,559 Speaker 1: and I know people say, oh, bok no, no, it's 1200 01:10:51,600 --> 01:10:55,080 Speaker 1: just not okay. Compare it to a sweatshirt and sweatpants 1201 01:10:55,720 --> 01:10:57,719 Speaker 1: and then tell me that your jacket and tie is comfortable. 1202 01:10:57,800 --> 01:11:00,760 Speaker 1: We have to tie something around our neck to constrict 1203 01:11:00,800 --> 01:11:03,439 Speaker 1: are very breathing. I mean, it's like in the old 1204 01:11:03,520 --> 01:11:09,200 Speaker 1: days with ladies having to wear uh the um, what's it? 1205 01:11:09,320 --> 01:11:11,800 Speaker 1: What's it called a corset, which I think sometimes even 1206 01:11:11,800 --> 01:11:14,240 Speaker 1: had whale bones in it, which was, you know, just 1207 01:11:14,400 --> 01:11:17,400 Speaker 1: terrible that they had to wear this stuff. But you know, 1208 01:11:17,400 --> 01:11:21,920 Speaker 1: we have to wear essentially a a a silk uh 1209 01:11:21,920 --> 01:11:26,479 Speaker 1: strangulation device, which is also known as a tie. Those 1210 01:11:26,479 --> 01:11:29,040 Speaker 1: are wondering, by the way, the tie and French is 1211 01:11:29,120 --> 01:11:32,639 Speaker 1: called a cravat, and they call it a cravat and 1212 01:11:32,280 --> 01:11:34,960 Speaker 1: that's where it became fashionable because of course Paris back 1213 01:11:35,000 --> 01:11:37,240 Speaker 1: in the day used to make everything fashionable, and that 1214 01:11:37,320 --> 01:11:41,000 Speaker 1: came from the Cravati, who were crow At mercenaries who 1215 01:11:41,160 --> 01:11:44,800 Speaker 1: joined the army of Louis the fourteen, the Sun King, 1216 01:11:45,120 --> 01:11:48,840 Speaker 1: and they wore brightly colored cloth around their neck and 1217 01:11:48,880 --> 01:11:52,560 Speaker 1: that became fashionable. So the tie is in fact originally 1218 01:11:52,680 --> 01:11:57,960 Speaker 1: a military mercenary fashion taken from eastern Europe to Paris, 1219 01:11:58,040 --> 01:12:01,040 Speaker 1: and then from Paris became cominent all across Europe and 1220 01:12:01,040 --> 01:12:04,000 Speaker 1: then an American around the world. That's where we get 1221 01:12:04,439 --> 01:12:10,080 Speaker 1: the necktie, my friends. So I don't think that well, 1222 01:12:10,120 --> 01:12:11,720 Speaker 1: I was gonna say formal wear. I just think it's 1223 01:12:11,720 --> 01:12:14,920 Speaker 1: funny too. You know that black tie is not the 1224 01:12:14,960 --> 01:12:18,160 Speaker 1: most formal black tie is actually was dressed down. That 1225 01:12:18,280 --> 01:12:20,360 Speaker 1: was like what we think of now is black tie 1226 01:12:20,880 --> 01:12:23,040 Speaker 1: was what just gentleman wore to hang out and have 1227 01:12:23,120 --> 01:12:27,000 Speaker 1: drinks and smoke cigars back in the day. And in fact, 1228 01:12:27,040 --> 01:12:30,840 Speaker 1: white tales is the more fancy version. You know, you 1229 01:12:30,880 --> 01:12:32,559 Speaker 1: can't even keep up with all this stuff. Oh but 1230 01:12:32,680 --> 01:12:34,519 Speaker 1: on dress codes. So the speaker of the house thing, 1231 01:12:34,840 --> 01:12:38,080 Speaker 1: Paul Ryan's fixing it, and and that's just funny because 1232 01:12:38,920 --> 01:12:41,720 Speaker 1: no one cared until it was Paul Ryan issue. And 1233 01:12:41,720 --> 01:12:44,240 Speaker 1: then all of a sudden, we're being led to believe that, 1234 01:12:44,280 --> 01:12:47,479 Speaker 1: you know, Paul Ryan's, uh, he's a bad guy, he's 1235 01:12:47,520 --> 01:12:49,960 Speaker 1: a patriarchy guy, he's you know, all this other stuff 1236 01:12:49,960 --> 01:12:52,599 Speaker 1: that they say, man splain all that and and sure 1237 01:12:52,680 --> 01:12:55,080 Speaker 1: enough you know that was all a lie. But people 1238 01:12:55,120 --> 01:12:57,920 Speaker 1: like to get outrage at Republicans, particularly Republican men. But 1239 01:12:57,960 --> 01:13:01,400 Speaker 1: there's another issue now, and it has to do with 1240 01:13:01,520 --> 01:13:06,200 Speaker 1: the lpg A and the questions being asked whether the 1241 01:13:06,360 --> 01:13:09,519 Speaker 1: lp g A with its new dress code. Remember this 1242 01:13:09,600 --> 01:13:16,559 Speaker 1: is women's uh professional golf, are they being body shamed? 1243 01:13:16,600 --> 01:13:18,960 Speaker 1: And I was like, well, what is the dress code 1244 01:13:19,479 --> 01:13:23,679 Speaker 1: for professional golfers? Women on the Professional Golf Tour? And 1245 01:13:23,880 --> 01:13:28,280 Speaker 1: I looked this up and why is body shaming an issue? Which, 1246 01:13:28,320 --> 01:13:30,680 Speaker 1: for those of you who are wondering, body shaming is 1247 01:13:30,720 --> 01:13:34,840 Speaker 1: just a general term for mocking or criticize someone because 1248 01:13:34,840 --> 01:13:37,200 Speaker 1: of their body shape or size. So I was thinking, 1249 01:13:37,520 --> 01:13:42,080 Speaker 1: I mean, golf clothing is generally pretty standard stuff, isn't it. 1250 01:13:42,120 --> 01:13:45,120 Speaker 1: What's the new dress code? It turns out that women 1251 01:13:45,160 --> 01:13:50,880 Speaker 1: on the LPGA were wearing increasingly tight fitting and revealing clothing, 1252 01:13:51,640 --> 01:13:57,320 Speaker 1: including leggings and plunging necklines and mini skirts, and the 1253 01:13:57,320 --> 01:14:00,479 Speaker 1: Women's Professional Golf Association is cracking down on on this, 1254 01:14:01,120 --> 01:14:04,960 Speaker 1: and I have to say I I completely disagree with 1255 01:14:05,040 --> 01:14:09,559 Speaker 1: the lpg A. I think that athletic attire for a 1256 01:14:09,600 --> 01:14:14,080 Speaker 1: professional sports should be encouraged. So if women want to 1257 01:14:14,120 --> 01:14:18,519 Speaker 1: play golf in what women tennis players wear, they should 1258 01:14:18,520 --> 01:14:21,120 Speaker 1: be completely allowed to. I mean, if they don't want 1259 01:14:21,160 --> 01:14:23,720 Speaker 1: exposed middrifts, I guess, I mean, maybe we draw the 1260 01:14:23,760 --> 01:14:26,519 Speaker 1: line that it's not beach volleyball out there on the 1261 01:14:26,560 --> 01:14:30,160 Speaker 1: seventeen hole. I get it. But I think that this 1262 01:14:30,320 --> 01:14:33,679 Speaker 1: is actually an instance of uh yeah, that's right. Maybe 1263 01:14:33,680 --> 01:14:36,439 Speaker 1: the patriarchy is kicking in a little bit here with 1264 01:14:36,479 --> 01:14:40,120 Speaker 1: women's golf and not allowing them to express themselves and 1265 01:14:40,200 --> 01:14:44,320 Speaker 1: be free on the golf course with uh lycra and 1266 01:14:44,400 --> 01:14:47,800 Speaker 1: other synthetic fabrics that allow freer movements. See. I'm in 1267 01:14:47,840 --> 01:14:50,840 Speaker 1: favor on this issue. I'm a sports feminist. I would 1268 01:14:50,880 --> 01:14:53,920 Speaker 1: like the women to be able to wear more athletics stuff, 1269 01:14:54,000 --> 01:14:55,880 Speaker 1: So if they want to play golf in yoga pants, 1270 01:14:55,880 --> 01:14:58,479 Speaker 1: it should be allowed to. I think the LPGA is 1271 01:14:58,520 --> 01:15:02,360 Speaker 1: being a little, uh little bit of a you know, 1272 01:15:03,120 --> 01:15:07,840 Speaker 1: little a little bit slow on the changing times and 1273 01:15:07,960 --> 01:15:11,360 Speaker 1: changing fashions. So there this is. These are my different 1274 01:15:11,439 --> 01:15:15,280 Speaker 1: views on my tiffre reviews on dress code and dress 1275 01:15:15,320 --> 01:15:17,080 Speaker 1: code issues. I know you're like, Buck, what what do 1276 01:15:17,160 --> 01:15:19,040 Speaker 1: you hey? I learned a lot about the LPG eight 1277 01:15:19,080 --> 01:15:21,559 Speaker 1: I was reading about it on Fox News. Uh, we 1278 01:15:21,640 --> 01:15:23,479 Speaker 1: are gonna come back in just a few moments where 1279 01:15:23,479 --> 01:15:26,479 Speaker 1: we're gonna talk about cyber and also words and whether 1280 01:15:26,520 --> 01:15:29,680 Speaker 1: they can be the quote equivalent of violence. We'll be 1281 01:15:29,680 --> 01:15:35,240 Speaker 1: back with much more. Stay with it. The Freedom Hug 1282 01:15:35,320 --> 01:15:38,400 Speaker 1: rocks online too. You can hang out with Team Buck anytime. 1283 01:15:38,439 --> 01:15:40,840 Speaker 1: Plus get bucks the latest news and analysis. Go to 1284 01:15:40,920 --> 01:15:45,720 Speaker 1: buck Sexton dot com. That's buck Sexton dot com. The 1285 01:15:45,840 --> 01:15:51,040 Speaker 1: Buck is bad. You are now entering the cyber operations 1286 01:15:51,320 --> 01:15:55,280 Speaker 1: outside COM's will be disrupted. You will observe information security, 1287 01:15:55,280 --> 01:16:01,800 Speaker 1: warfare can ducket in real time. This is the fight 1288 01:16:01,920 --> 01:16:05,879 Speaker 1: you cannot see. This is the fight that will determine 1289 01:16:05,880 --> 01:16:11,320 Speaker 1: the future. This is cyber ups. It's a headline certain 1290 01:16:11,400 --> 01:16:14,360 Speaker 1: to get some attention from the Wall Street Journal. South 1291 01:16:14,439 --> 01:16:20,080 Speaker 1: Carolina may prove a microcosm of US election hacking efforts. 1292 01:16:20,920 --> 01:16:23,880 Speaker 1: And we've been hearing about whether or not the Russians 1293 01:16:24,000 --> 01:16:28,400 Speaker 1: quote hacked the election for months. But this report, which 1294 01:16:28,479 --> 01:16:30,559 Speaker 1: is of course coming from the Wall Street Journal, which 1295 01:16:30,600 --> 01:16:36,280 Speaker 1: is at least center right, UH, puts put some granularity 1296 01:16:36,560 --> 01:16:39,200 Speaker 1: into the issue, gives us a bit more detail. Writes 1297 01:16:39,240 --> 01:16:41,759 Speaker 1: that there were nearly a hundred and fifty thousand attempts 1298 01:16:42,120 --> 01:16:45,800 Speaker 1: to penetrate the voter registration system on election day in 1299 01:16:47,520 --> 01:16:53,600 Speaker 1: and it gives additional numbers about other states like Illinois, 1300 01:16:54,080 --> 01:16:58,920 Speaker 1: where there were even more attempts by possible hackers to 1301 01:16:59,000 --> 01:17:04,559 Speaker 1: get into various election databases and systems. But this does 1302 01:17:04,600 --> 01:17:09,200 Speaker 1: not necessarily mean that anything was changed, or that in 1303 01:17:09,240 --> 01:17:11,519 Speaker 1: any way it would be accurate to say that the 1304 01:17:11,600 --> 01:17:16,360 Speaker 1: election of was hacked. What you're seeing is actually just 1305 01:17:16,520 --> 01:17:20,479 Speaker 1: much more a reality of the cyber world day in 1306 01:17:20,520 --> 01:17:23,320 Speaker 1: and day out, which is that there are thousands, tens 1307 01:17:23,360 --> 01:17:27,760 Speaker 1: of thousands, perhaps millions of efforts when you add in 1308 01:17:27,800 --> 01:17:32,120 Speaker 1: all the different malware and and UH automated intrusions, as 1309 01:17:32,160 --> 01:17:36,200 Speaker 1: well as individuals who are trying to get access to 1310 01:17:36,280 --> 01:17:41,280 Speaker 1: information for their own nefarious purposes happening all over the globe. 1311 01:17:42,320 --> 01:17:45,840 Speaker 1: We've started to pay more attention to the possibility of 1312 01:17:45,880 --> 01:17:50,799 Speaker 1: a catastrophic cyber attack on commercial enterprises. For a while, 1313 01:17:50,880 --> 01:17:54,080 Speaker 1: we've been aware of the possibility of what is a 1314 01:17:54,160 --> 01:17:57,000 Speaker 1: cyber nine eleven, and there have been a lot of 1315 01:17:57,040 --> 01:18:00,479 Speaker 1: hearings about this, and there has been focus from the 1316 01:18:00,560 --> 01:18:04,720 Speaker 1: government side at least for years about the possibility of 1317 01:18:04,880 --> 01:18:08,920 Speaker 1: cyber war being used as a precursor or an addendum 1318 01:18:08,960 --> 01:18:14,840 Speaker 1: to actual war. But now that the commercial sectors are 1319 01:18:14,960 --> 01:18:19,080 Speaker 1: hit with ransomware, which means that a program infects a 1320 01:18:19,120 --> 01:18:22,799 Speaker 1: computer and then says that you either pay a ransom 1321 01:18:22,960 --> 01:18:26,680 Speaker 1: online for it or else your data can be destroyed 1322 01:18:26,880 --> 01:18:32,200 Speaker 1: or can be dumped in public view to embarrass a company. 1323 01:18:32,200 --> 01:18:34,240 Speaker 1: So this is just a form of using It's like 1324 01:18:34,600 --> 01:18:39,600 Speaker 1: data hostage taking, where your computer is the point of entry. 1325 01:18:39,880 --> 01:18:44,559 Speaker 1: And this is now getting attention because of a few 1326 01:18:44,640 --> 01:18:50,400 Speaker 1: recent major incidents that affected millions of computers around the world, 1327 01:18:50,720 --> 01:18:56,160 Speaker 1: including UH one known as the the Wanna cry uh 1328 01:18:56,439 --> 01:19:00,559 Speaker 1: ransomware attack that affected computers infected computer there's an over 1329 01:19:00,600 --> 01:19:03,559 Speaker 1: a hundred and fifty countries, hit millions of machines and 1330 01:19:03,600 --> 01:19:09,840 Speaker 1: even hit hospitals in the United Kingdom. Uh So there 1331 01:19:09,880 --> 01:19:12,760 Speaker 1: were these UK hospitals that had their records shut down. 1332 01:19:12,880 --> 01:19:15,599 Speaker 1: When all of a sudden, people realize that you can't 1333 01:19:15,640 --> 01:19:19,759 Speaker 1: get access to your medical files in a hospital environment 1334 01:19:19,760 --> 01:19:24,000 Speaker 1: because of some uh, some cyber hackers somewhere who have 1335 01:19:24,040 --> 01:19:29,200 Speaker 1: released this uh, this malicious uh, this malicious program, this 1336 01:19:29,360 --> 01:19:34,000 Speaker 1: ransomware program. Then everyone starts to pay much more attention. 1337 01:19:34,360 --> 01:19:37,719 Speaker 1: There was also a ransomware cyber attack back in June 1338 01:19:37,800 --> 01:19:42,280 Speaker 1: called Petia that affected reportedly a hundred over a hundred 1339 01:19:42,360 --> 01:19:47,120 Speaker 1: companies in America and Europe. So this is now something 1340 01:19:47,240 --> 01:19:52,240 Speaker 1: that can't really be ignored just by everyone. This is 1341 01:19:52,280 --> 01:19:56,000 Speaker 1: now a reality in our in our everyday lives because 1342 01:19:56,000 --> 01:20:00,360 Speaker 1: it's hitting companies, it's hitting individuals, and it then number 1343 01:20:00,439 --> 01:20:06,000 Speaker 1: of cyber intrusion, cyber hacks, malware, ransomware is just going 1344 01:20:06,120 --> 01:20:09,320 Speaker 1: up all the time. We really are in a new 1345 01:20:09,439 --> 01:20:12,519 Speaker 1: era in which no one is safe from the effects 1346 01:20:12,760 --> 01:20:18,599 Speaker 1: of cyber war and cyber hacking, and the sophistication of 1347 01:20:18,640 --> 01:20:24,400 Speaker 1: these various efforts is only getting uh stronger, getting more intense, 1348 01:20:25,080 --> 01:20:28,760 Speaker 1: and we could be hit by a cyber attack on 1349 01:20:28,800 --> 01:20:33,439 Speaker 1: the commercial side or on the military side that is crippling. 1350 01:20:33,439 --> 01:20:36,360 Speaker 1: It's just a question of when. And this is now 1351 01:20:36,439 --> 01:20:39,479 Speaker 1: forcing companies to take the whole issue of cyber much 1352 01:20:39,520 --> 01:20:43,000 Speaker 1: more seriously. And so whereas there was a time that 1353 01:20:43,200 --> 01:20:48,640 Speaker 1: your your chief information officer or your I T guy 1354 01:20:48,960 --> 01:20:52,920 Speaker 1: was somebody who was probably associated with dungeons and dragons 1355 01:20:53,120 --> 01:20:56,960 Speaker 1: and had awkward social skills and just told you to 1356 01:20:57,080 --> 01:20:59,880 Speaker 1: restart your computer whenever you had a problem. Now, the 1357 01:21:00,040 --> 01:21:02,720 Speaker 1: chief information officer at a lot of companies, not even 1358 01:21:02,760 --> 01:21:05,200 Speaker 1: just tech companies of course, where that's a primary position, 1359 01:21:05,840 --> 01:21:10,479 Speaker 1: is somebody of tremendous importance because to be competitive in 1360 01:21:10,560 --> 01:21:13,200 Speaker 1: the current commercial environment, you have to have an online 1361 01:21:13,479 --> 01:21:16,640 Speaker 1: you have to have a major digital presence in a 1362 01:21:16,760 --> 01:21:21,800 Speaker 1: vast majority of industries that are global, and so now 1363 01:21:22,280 --> 01:21:25,360 Speaker 1: the possibility of a data breach that cripples or even 1364 01:21:25,439 --> 01:21:28,080 Speaker 1: destroys your company is something that everyone has to take 1365 01:21:28,160 --> 01:21:33,320 Speaker 1: quite seriously. So the commercial side businesses are waking up 1366 01:21:33,360 --> 01:21:35,679 Speaker 1: to the reality of hacks going on all the time 1367 01:21:36,280 --> 01:21:39,360 Speaker 1: and are having to take steps. It seems now that 1368 01:21:39,439 --> 01:21:47,000 Speaker 1: also are civilian government systems, voting systems, voter registration. These 1369 01:21:47,040 --> 01:21:51,360 Speaker 1: are also looked at as vulnerable targets. Now. I think 1370 01:21:51,400 --> 01:21:54,679 Speaker 1: a lot of the focus on this comes because of 1371 01:21:54,840 --> 01:21:59,360 Speaker 1: the Russia Trump investigation, and like I said, Russian hacking, 1372 01:22:00,240 --> 01:22:03,360 Speaker 1: but that doesn't mean that it's not a problem, and 1373 01:22:03,400 --> 01:22:08,160 Speaker 1: all you have to do really is raise the possibility 1374 01:22:08,200 --> 01:22:13,840 Speaker 1: of tampering with votes, changing changing votes and machines in 1375 01:22:14,000 --> 01:22:17,280 Speaker 1: one state, in one district in the national election, and 1376 01:22:17,320 --> 01:22:23,320 Speaker 1: it could create really serious perception problems about whether we 1377 01:22:23,840 --> 01:22:27,960 Speaker 1: fully have faith in those systems that determine who has 1378 01:22:28,040 --> 01:22:32,519 Speaker 1: power of the most the most important and far reaching 1379 01:22:32,720 --> 01:22:36,160 Speaker 1: government and military machine the United States on the planet. 1380 01:22:36,240 --> 01:22:40,000 Speaker 1: So this is very important stuff. Now. When you look 1381 01:22:40,040 --> 01:22:42,519 Speaker 1: at the numbers though about hacking, and you look at 1382 01:22:42,560 --> 01:22:45,479 Speaker 1: what's going on, it's easy to see it and just say, well, 1383 01:22:45,720 --> 01:22:48,680 Speaker 1: there's this is such an imminent problem. But it's been 1384 01:22:48,680 --> 01:22:53,160 Speaker 1: a problem for years. And if the numbers are what 1385 01:22:53,280 --> 01:22:57,360 Speaker 1: they are, why isn't there a sense of absolute urgency 1386 01:22:57,479 --> 01:23:00,080 Speaker 1: right now across the board to deal with this. And 1387 01:23:00,080 --> 01:23:01,559 Speaker 1: there are a few things. One is that some of 1388 01:23:01,600 --> 01:23:07,800 Speaker 1: the worst hacking threats come from individual mistakes at a company. 1389 01:23:08,000 --> 01:23:10,960 Speaker 1: So you can have the best I T systems around, 1390 01:23:11,240 --> 01:23:13,439 Speaker 1: but if somebody sends an email to one of your 1391 01:23:13,439 --> 01:23:16,800 Speaker 1: employees that says click on this link, uh, and the 1392 01:23:17,360 --> 01:23:19,439 Speaker 1: through what is known as a phishing scheme. You know, 1393 01:23:19,520 --> 01:23:25,599 Speaker 1: phishing is getting increasingly sophisticated. Phishing is now not just hey, 1394 01:23:25,680 --> 01:23:30,080 Speaker 1: i'm a I'm a Nigerian prince and if you give 1395 01:23:30,120 --> 01:23:33,320 Speaker 1: me your bank information, I'll give you ten million dollars. 1396 01:23:33,400 --> 01:23:35,040 Speaker 1: A lot of people used to fall for that, by 1397 01:23:35,080 --> 01:23:37,559 Speaker 1: the way, and now people generally laugh when you bring 1398 01:23:37,560 --> 01:23:41,160 Speaker 1: that up, But it was a scam that resulted in, 1399 01:23:41,400 --> 01:23:46,560 Speaker 1: according to the FBI, millions and millions of dollars in damages. 1400 01:23:46,800 --> 01:23:49,400 Speaker 1: But now the phishing schemes are much more sophisticated. They're 1401 01:23:49,439 --> 01:23:53,559 Speaker 1: built to look like a normal email that you would get. 1402 01:23:53,600 --> 01:23:55,960 Speaker 1: They're made to seem like they're from your I T desk, 1403 01:23:56,080 --> 01:23:59,320 Speaker 1: or they're from Google or Facebook or a major company 1404 01:23:59,360 --> 01:24:02,600 Speaker 1: that you are using all the time, a major Internet company. 1405 01:24:02,640 --> 01:24:04,880 Speaker 1: And once you give them your credentials and password, they've 1406 01:24:04,920 --> 01:24:06,759 Speaker 1: got you. They can steal your data, they can steal 1407 01:24:06,760 --> 01:24:10,520 Speaker 1: your stuff. And of course the authorities aren't just overwhelmed 1408 01:24:10,520 --> 01:24:14,280 Speaker 1: with all the different hacking attacks occurring every day. They 1409 01:24:14,320 --> 01:24:18,080 Speaker 1: also have limited reach when you're talking about individuals who 1410 01:24:18,120 --> 01:24:22,880 Speaker 1: could be operating not just overseas, but from hostile territories overseas. 1411 01:24:23,200 --> 01:24:25,840 Speaker 1: You know, our government can go ask the Iranians all 1412 01:24:25,920 --> 01:24:28,400 Speaker 1: day to go pick up some hackers that we think 1413 01:24:28,439 --> 01:24:31,920 Speaker 1: we're operating on Iranian soil or any other number of 1414 01:24:31,920 --> 01:24:36,040 Speaker 1: countries you can think of, and they're very unlikely to 1415 01:24:36,080 --> 01:24:40,160 Speaker 1: get far with that issue, right, So, uh, hacking is 1416 01:24:40,320 --> 01:24:46,240 Speaker 1: away for foreign governments, foreign entities sometimes working together sometimes 1417 01:24:46,439 --> 01:24:51,000 Speaker 1: separately to hit us here without any risk to themselves. Uh. 1418 01:24:51,040 --> 01:24:54,839 Speaker 1: They don't have to be physically present in the United States, 1419 01:24:54,920 --> 01:24:58,040 Speaker 1: or they don't have to be anywhere where we have jurisdiction. 1420 01:24:58,680 --> 01:25:01,840 Speaker 1: So you're you're seeing now that this is an ongoing 1421 01:25:02,000 --> 01:25:06,360 Speaker 1: and escalating cyber war that can't be ignored. And when 1422 01:25:06,400 --> 01:25:09,479 Speaker 1: you put it in the context of the investigations over 1423 01:25:10,439 --> 01:25:14,000 Speaker 1: voting UH and the election and hacking the and hacking 1424 01:25:14,000 --> 01:25:16,360 Speaker 1: the election, what you see is that I think the 1425 01:25:16,439 --> 01:25:22,240 Speaker 1: media has with their hysteria over a changed over changing 1426 01:25:22,320 --> 01:25:26,639 Speaker 1: the election outcome in Hillary and Trump UM, which did 1427 01:25:26,680 --> 01:25:30,000 Speaker 1: not happen, they have at least created and this is 1428 01:25:30,320 --> 01:25:34,000 Speaker 1: a side effect or an unintentional corollaria of all this, 1429 01:25:34,400 --> 01:25:36,840 Speaker 1: they have at least created an opportunity to have a 1430 01:25:36,840 --> 01:25:42,639 Speaker 1: discussion about, well, Okay, it didn't happen in but could 1431 01:25:42,680 --> 01:25:47,160 Speaker 1: it happen in or in the mid terms? How hard 1432 01:25:47,200 --> 01:25:50,919 Speaker 1: would it really be to get into either voting machines 1433 01:25:51,160 --> 01:25:55,720 Speaker 1: or the databases of registered voters, not necessarily to do 1434 01:25:55,760 --> 01:25:59,800 Speaker 1: anything as sophisticated as changing votes and covering their tracks. 1435 01:26:00,160 --> 01:26:04,120 Speaker 1: I think theoretically that would be possible to You may 1436 01:26:04,160 --> 01:26:07,120 Speaker 1: need physical access to the machines which people bring up. 1437 01:26:07,280 --> 01:26:10,960 Speaker 1: Air gapped computers is still a very important security measure. 1438 01:26:11,000 --> 01:26:15,360 Speaker 1: Meeting computers that aren't Internet enabled and connected. That obviously 1439 01:26:15,439 --> 01:26:19,719 Speaker 1: is a means of protecting you from Internet intrusions. But 1440 01:26:20,000 --> 01:26:23,960 Speaker 1: even if they just we're able to bring down a 1441 01:26:24,040 --> 01:26:27,439 Speaker 1: state's election website on the day of the election, that 1442 01:26:27,520 --> 01:26:30,680 Speaker 1: might raise concerns that there was further hacking that might 1443 01:26:30,760 --> 01:26:34,320 Speaker 1: call into doubt the results. You see. I don't believe 1444 01:26:34,520 --> 01:26:39,160 Speaker 1: that our adversaries are as much invested in one candidate 1445 01:26:39,240 --> 01:26:41,559 Speaker 1: or another as the media has been leading us to 1446 01:26:41,560 --> 01:26:45,040 Speaker 1: believe for months now. I reject that, but I do 1447 01:26:45,240 --> 01:26:51,479 Speaker 1: think that especially in countries uh Iran, Russia, China, any 1448 01:26:51,520 --> 01:26:57,400 Speaker 1: major US adversary that has strong cyber and technological capabilities 1449 01:26:57,680 --> 01:27:02,840 Speaker 1: and where there is a resentment of US democracy promotion 1450 01:27:03,160 --> 01:27:08,719 Speaker 1: and the US view of those regimes as either partially 1451 01:27:08,800 --> 01:27:11,679 Speaker 1: or holy illegitimate. Even in the case of Russia, where 1452 01:27:11,720 --> 01:27:16,400 Speaker 1: they have elections because of crackdowns on press freedom and 1453 01:27:16,840 --> 01:27:21,160 Speaker 1: corruption within the state, uh that a means of hitting 1454 01:27:21,200 --> 01:27:23,599 Speaker 1: back at US is just to force the American people, 1455 01:27:24,080 --> 01:27:28,720 Speaker 1: or bring the American people to question the credibility of 1456 01:27:28,760 --> 01:27:31,920 Speaker 1: our election systems. So you see, on the one hand, 1457 01:27:31,960 --> 01:27:34,000 Speaker 1: we've been told, oh, it's because the Russians wanted The 1458 01:27:34,000 --> 01:27:35,920 Speaker 1: media has been saying the Russians wanted Hillary to win, 1459 01:27:36,000 --> 01:27:39,240 Speaker 1: and I've always thought that was that that just seemed 1460 01:27:39,280 --> 01:27:41,600 Speaker 1: dubious to me, because how can the Russians know that 1461 01:27:41,600 --> 01:27:45,120 Speaker 1: Trump would be more favorable to their interests when nobody 1462 01:27:45,160 --> 01:27:47,559 Speaker 1: really knows where Trump's gonna come down on any issue, right, 1463 01:27:47,640 --> 01:27:49,880 Speaker 1: I mean, if Trump is a loose cannon, even if 1464 01:27:49,920 --> 01:27:54,000 Speaker 1: you're a conservative American in the Republican Party, Uh, what 1465 01:27:54,120 --> 01:27:56,160 Speaker 1: the Russians are sure that he's a better bet for 1466 01:27:56,160 --> 01:27:59,240 Speaker 1: them and Hillary? That always seemed to be faulty logic 1467 01:27:59,320 --> 01:28:04,240 Speaker 1: to me. But just by shutting down some systems or 1468 01:28:04,360 --> 01:28:08,120 Speaker 1: creating some problems on an election day, you could have 1469 01:28:08,360 --> 01:28:10,120 Speaker 1: very real questions. I mean, look look at what happened 1470 01:28:10,120 --> 01:28:14,040 Speaker 1: in two thousand. Wasn't a hacking issue, but just with 1471 01:28:14,720 --> 01:28:18,040 Speaker 1: hanging Chad's and all of the problems with the recount, 1472 01:28:18,120 --> 01:28:22,320 Speaker 1: and how politically acrimonious, how tense that became one all 1473 01:28:22,360 --> 01:28:28,360 Speaker 1: the way to the Supreme Court. And those were relatively speaking, minor, 1474 01:28:28,439 --> 01:28:34,280 Speaker 1: unintentional issues of voting irregularities caused by literally the system, 1475 01:28:34,400 --> 01:28:37,960 Speaker 1: right the voting machines themselves, in some cases having defects. 1476 01:28:38,400 --> 01:28:41,160 Speaker 1: If in a in the mid terms, or if in 1477 01:28:41,680 --> 01:28:46,320 Speaker 1: the next presidential election, hackers from anywhere around the world, 1478 01:28:46,320 --> 01:28:50,679 Speaker 1: whether state sponsored or not, we're able to get into 1479 01:28:50,760 --> 01:28:53,920 Speaker 1: voting systems and just create some degree of chaos. Even 1480 01:28:53,920 --> 01:28:56,519 Speaker 1: if they didn't change the votes, it might be enough 1481 01:28:56,560 --> 01:29:00,160 Speaker 1: to affect perception of whether the election is legit him 1482 01:29:00,200 --> 01:29:03,439 Speaker 1: in and that would have real political ramifications, I think 1483 01:29:03,479 --> 01:29:07,200 Speaker 1: for us here at home. So this report from the 1484 01:29:07,240 --> 01:29:10,120 Speaker 1: Wall Street Journal, uh, and it's well, it's it's based 1485 01:29:10,160 --> 01:29:14,000 Speaker 1: on a report from the South Carolina State Election Commission. 1486 01:29:14,360 --> 01:29:18,160 Speaker 1: And they've also cited some information about how the Department 1487 01:29:18,200 --> 01:29:21,320 Speaker 1: of Homeland Security is increasingly involved in this, realizes that 1488 01:29:21,360 --> 01:29:24,920 Speaker 1: it's a very real concern, and it is monitoring this 1489 01:29:25,000 --> 01:29:28,400 Speaker 1: and trying to work with states to protect their cyber infrastructure. 1490 01:29:29,000 --> 01:29:30,680 Speaker 1: But this is a problem I think is only going 1491 01:29:30,760 --> 01:29:35,120 Speaker 1: to get bigger. And they wanted to talk about Russia 1492 01:29:35,680 --> 01:29:39,639 Speaker 1: hacking the election, but really the discussion is well, could 1493 01:29:39,680 --> 01:29:42,599 Speaker 1: someone else, Could anybody hack the upcoming election in a 1494 01:29:42,600 --> 01:29:46,960 Speaker 1: way that is truly damaging. That's something that we need 1495 01:29:47,000 --> 01:29:49,000 Speaker 1: to be paying much more attention to. I think based 1496 01:29:49,040 --> 01:29:52,679 Speaker 1: on the reporting that we're seeing about attempted intrusions our team, 1497 01:29:52,800 --> 01:29:55,640 Speaker 1: we've got much more coming up here in just a 1498 01:29:55,680 --> 01:30:02,680 Speaker 1: few minutes. Stay with me, king everybody to do their 1499 01:30:02,720 --> 01:30:08,280 Speaker 1: fair share, when everyone engages in fair play and everybody 1500 01:30:08,360 --> 01:30:11,880 Speaker 1: gets a fair shot and everybody does their fair share. 1501 01:30:12,000 --> 01:30:14,719 Speaker 1: That was President Obama, a little trip down memory lane 1502 01:30:14,760 --> 01:30:18,120 Speaker 1: for all of you. Fair share, paying your fair share. 1503 01:30:18,360 --> 01:30:22,600 Speaker 1: That was one of the quintessential Obama phrases. But you know, 1504 01:30:22,640 --> 01:30:25,160 Speaker 1: when you look at the data, you find out pretty 1505 01:30:25,240 --> 01:30:29,599 Speaker 1: quickly that Republicans and Democrats have a very different view 1506 01:30:29,680 --> 01:30:35,760 Speaker 1: of what's fair and how to pay what's fair. Republicans 1507 01:30:36,479 --> 01:30:42,920 Speaker 1: are better tippers than Democrats. Republican mails in particular UH 1508 01:30:43,000 --> 01:30:46,160 Speaker 1: and up in the Northeast especially so. Republican mails in 1509 01:30:46,160 --> 01:30:50,519 Speaker 1: the Northeast, like yours, truly tipped a median of when 1510 01:30:50,520 --> 01:30:54,439 Speaker 1: dining at a restaurant. Democrats were the worst tippers, giving 1511 01:30:54,560 --> 01:30:58,200 Speaker 1: sixteen percent or so, sometimes even as low as fifteen 1512 01:30:58,200 --> 01:31:04,439 Speaker 1: percent on average, depending on the region. Fifty nine of 1513 01:31:04,920 --> 01:31:09,960 Speaker 1: Republicans say their typical restaurant tip exceeds this is up 1514 01:31:09,960 --> 01:31:14,080 Speaker 1: on Fox Business. Just forty six percent of Democrats say 1515 01:31:14,120 --> 01:31:17,479 Speaker 1: the same thing. You know, this does filter into the 1516 01:31:17,600 --> 01:31:22,639 Speaker 1: broader mentality, right, Democrats always want more government spending. They 1517 01:31:22,760 --> 01:31:27,479 Speaker 1: like to be generous with other people's money. It's really, 1518 01:31:27,640 --> 01:31:32,200 Speaker 1: uh corollary to Margaret Thatcher's the problem with socialism as 1519 01:31:32,240 --> 01:31:34,840 Speaker 1: you always run out of other people's money. Uh. The 1520 01:31:34,880 --> 01:31:38,080 Speaker 1: problem with the Democrat party is that all of their 1521 01:31:38,400 --> 01:31:42,920 Speaker 1: do good tourism is based on taking money out of 1522 01:31:42,960 --> 01:31:45,919 Speaker 1: other people's pockets. You know, they don't want to pay 1523 01:31:46,040 --> 01:31:49,679 Speaker 1: more themselves in taxes. They could just give whatever percentage 1524 01:31:49,680 --> 01:31:51,720 Speaker 1: they want to the federal government. It's actually on your 1525 01:31:51,760 --> 01:31:54,240 Speaker 1: tax form you can give whatever you want. You could 1526 01:31:54,240 --> 01:31:58,000 Speaker 1: give of your income to the federal government if it 1527 01:31:58,160 --> 01:32:02,320 Speaker 1: made you happy. I would that that's wordline insane. But 1528 01:32:02,640 --> 01:32:08,800 Speaker 1: you could do it. But no. Democrats pose as being humanitarians, 1529 01:32:08,840 --> 01:32:12,320 Speaker 1: pose as caring so much about the common good, the 1530 01:32:12,320 --> 01:32:17,600 Speaker 1: common welfare, the downtrodden in particular the lower classes, the 1531 01:32:17,640 --> 01:32:21,960 Speaker 1: economically disadvantage, but they don't want to make their own sacrifices. 1532 01:32:21,960 --> 01:32:25,040 Speaker 1: And this mentality is pervasive in the Democrat On the 1533 01:32:25,080 --> 01:32:30,200 Speaker 1: Democrat left. It's true of environmentalism as well. They want broad, 1534 01:32:30,320 --> 01:32:33,400 Speaker 1: sweeping policies that affect everybody else, but they like to 1535 01:32:33,439 --> 01:32:37,280 Speaker 1: exempt themselves. This is why hypocrisy is one of the 1536 01:32:37,320 --> 01:32:42,360 Speaker 1: defining characteristics of the modern democrat ideology, because when you're 1537 01:32:42,400 --> 01:32:46,719 Speaker 1: a collectivist, it's all about what everyone is forced to do, 1538 01:32:47,000 --> 01:32:50,519 Speaker 1: but not about what you, as someone who's advocating for 1539 01:32:50,600 --> 01:32:54,080 Speaker 1: those policies, should also have to do. You can always 1540 01:32:54,120 --> 01:32:57,880 Speaker 1: separate yourself out. After all, you're one of the good ones. 1541 01:32:58,240 --> 01:33:01,519 Speaker 1: You should get some credit for pushing for those climate 1542 01:33:01,600 --> 01:33:07,439 Speaker 1: change policies or pushing for those redistributionist economic policies. And 1543 01:33:07,640 --> 01:33:11,200 Speaker 1: this survey about tipping people working very hard in restaurants. 1544 01:33:11,200 --> 01:33:13,720 Speaker 1: They live off those tips. It's essential for those in 1545 01:33:13,720 --> 01:33:18,759 Speaker 1: the service industry. Sure enough, Republicans have more respect for 1546 01:33:18,840 --> 01:33:23,080 Speaker 1: that work on average then Democrats do. Democrats figured that 1547 01:33:23,120 --> 01:33:25,800 Speaker 1: the safety net or something else maybe we'll kick in. 1548 01:33:26,160 --> 01:33:29,960 Speaker 1: Republicans are like I, I I like to give people money 1549 01:33:30,000 --> 01:33:33,040 Speaker 1: for their efforts, and I like to reward hard work. 1550 01:33:33,880 --> 01:33:37,520 Speaker 1: By the way, one in five people, according to this 1551 01:33:37,520 --> 01:33:40,720 Speaker 1: this survey at sit down restaurants, don't leave any tip 1552 01:33:40,760 --> 01:33:46,160 Speaker 1: at all, which I was shocked to see that, and 1553 01:33:46,200 --> 01:33:49,120 Speaker 1: never leave a tip for their hotel housekeeper. That also, 1554 01:33:49,200 --> 01:33:51,360 Speaker 1: I think is is messed up. But it says here 1555 01:33:51,720 --> 01:33:54,880 Speaker 1: that thirty don't leave a tip for their barista, which 1556 01:33:54,920 --> 01:33:58,000 Speaker 1: is the person who makes coffee. By the way, I'm sorry, 1557 01:33:58,040 --> 01:34:01,920 Speaker 1: but I'm I'm a a tipper and restaurants, and I'm 1558 01:34:01,960 --> 01:34:06,240 Speaker 1: a I'm a seven to ten dollar a day tipper 1559 01:34:07,000 --> 01:34:10,600 Speaker 1: in the hotel for the lady who's cleaning or the 1560 01:34:10,640 --> 01:34:14,400 Speaker 1: man either one who is cleaning up afterwards, the uh 1561 01:34:14,720 --> 01:34:22,400 Speaker 1: housekeeping attendant, but the barista who's charging me four dollars 1562 01:34:22,439 --> 01:34:26,160 Speaker 1: plus for a nice coffee in New York City, I'm sorry, 1563 01:34:26,200 --> 01:34:28,800 Speaker 1: there are limits. You know. If if coffee is now 1564 01:34:28,920 --> 01:34:30,880 Speaker 1: going to be five dollars a cup, then just put 1565 01:34:30,960 --> 01:34:33,280 Speaker 1: it make the price five dollars a cup. In fact, 1566 01:34:33,280 --> 01:34:35,200 Speaker 1: my least favorite thing is when I get a cup 1567 01:34:35,200 --> 01:34:36,679 Speaker 1: of coffee here in New York City and it's four 1568 01:34:36,680 --> 01:34:40,439 Speaker 1: dollars and twenty seven cents. You know, can can we 1569 01:34:40,479 --> 01:34:43,799 Speaker 1: just make it four fifty or four dollars or anyway? 1570 01:34:43,800 --> 01:34:46,120 Speaker 1: I don't. I'm sorry, I know this is where I 1571 01:34:46,200 --> 01:34:49,200 Speaker 1: draw the line. How do you like vistas like how 1572 01:34:49,280 --> 01:34:53,639 Speaker 1: you get amy like fair share, I'm sorry, five dollars 1573 01:34:53,640 --> 01:34:55,680 Speaker 1: a cup that is that is or four dollars a 1574 01:34:55,720 --> 01:34:58,160 Speaker 1: cup that is fair share for Barista, So I do 1575 01:34:58,240 --> 01:35:02,000 Speaker 1: not tip Barista's in us they say something particularly funny 1576 01:35:02,080 --> 01:35:04,479 Speaker 1: or brightened on my day in some way. All right, 1577 01:35:04,520 --> 01:35:09,040 Speaker 1: we're gonna talk about violence as words or words as 1578 01:35:09,120 --> 01:35:14,000 Speaker 1: violence in just a few years, Buck Sexton, with America 1579 01:35:14,080 --> 01:35:16,840 Speaker 1: now where there is always something to talk about where 1580 01:35:16,880 --> 01:35:19,639 Speaker 1: you can trade opinions with Buck. I'm not sure you'll win, though. 1581 01:35:19,800 --> 01:35:23,439 Speaker 1: Just call eight four four nine hundred Buck. That's eight 1582 01:35:23,479 --> 01:35:28,519 Speaker 1: four four d to eight to five. Alright, Buck, you're on. 1583 01:35:31,840 --> 01:35:35,479 Speaker 1: There's a campus protest recently that you probably didn't hear about, 1584 01:35:35,560 --> 01:35:39,320 Speaker 1: and it did have to do with a controversial speaker, 1585 01:35:39,360 --> 01:35:43,120 Speaker 1: at least controversial according to one group of students on 1586 01:35:43,240 --> 01:35:48,360 Speaker 1: campus who believe that he is known to incite violence. 1587 01:35:48,360 --> 01:35:52,400 Speaker 1: So here we are with the speech insights violence idea, 1588 01:35:52,479 --> 01:35:55,000 Speaker 1: which I will get into more in just a few minutes. 1589 01:35:55,520 --> 01:35:59,360 Speaker 1: But this speaker, it may surprise you to hear, was 1590 01:36:00,000 --> 01:36:06,400 Speaker 1: another than the Dali Lama. The Dali Lama himself the 1591 01:36:06,479 --> 01:36:09,960 Speaker 1: twelve son of a lama, the flowing robes a grace 1592 01:36:10,560 --> 01:36:17,400 Speaker 1: a striking Now, of course, who could object to the 1593 01:36:17,560 --> 01:36:20,320 Speaker 1: Dali Lama of all people coming to speak on a 1594 01:36:20,320 --> 01:36:24,120 Speaker 1: college campus. Well, at the University of Southern California, San Diego, 1595 01:36:24,680 --> 01:36:28,880 Speaker 1: there were there was a group of Chinese students who 1596 01:36:29,240 --> 01:36:33,640 Speaker 1: claimed that the Dalai Lama's peaceful message is actually a 1597 01:36:33,640 --> 01:36:38,040 Speaker 1: a cover for his instigating of political violence. Now, just 1598 01:36:38,200 --> 01:36:39,920 Speaker 1: as as a bit of background for those of you 1599 01:36:39,920 --> 01:36:42,160 Speaker 1: who are wondering about this, a lot of people know 1600 01:36:42,360 --> 01:36:45,599 Speaker 1: about the Dali Lama but don't know really anything about 1601 01:36:45,840 --> 01:36:50,080 Speaker 1: the conflict that's going on between Tibet and China. Most 1602 01:36:50,120 --> 01:36:53,040 Speaker 1: of them just rely on whatever they pick up from 1603 01:36:53,280 --> 01:36:56,080 Speaker 1: a series of rock concerts back in the late nineties 1604 01:36:56,120 --> 01:36:59,559 Speaker 1: called Tibetan Freedom that had to do with this issue 1605 01:37:00,160 --> 01:37:02,840 Speaker 1: in a in a very generalized sense. The basics of 1606 01:37:02,880 --> 01:37:06,960 Speaker 1: it are as follows. Tibet is a tiny Buddhist country 1607 01:37:07,680 --> 01:37:12,000 Speaker 1: in between India and China, and since nineteen fifty one 1608 01:37:12,560 --> 01:37:16,200 Speaker 1: it has been occupied by the Chinese. And there's also 1609 01:37:16,240 --> 01:37:21,240 Speaker 1: been a campaign ongoing for the inter intervening decades of 1610 01:37:21,840 --> 01:37:28,640 Speaker 1: well immigration intended to create a minority of ethnic Tibetan 1611 01:37:28,640 --> 01:37:33,519 Speaker 1: Buddhists with the importation of Han Chinese, and China has 1612 01:37:33,560 --> 01:37:38,280 Speaker 1: been very aggressive with its expansion of uh well, destruction 1613 01:37:38,520 --> 01:37:42,760 Speaker 1: of Buddhist Tibetan cultural artifacts and monasteries, and also the 1614 01:37:42,800 --> 01:37:48,320 Speaker 1: importation of Chinese culture and way of life. And you 1615 01:37:48,400 --> 01:37:52,000 Speaker 1: have an exile government that is led by the Dali 1616 01:37:52,080 --> 01:37:57,400 Speaker 1: Lama in in northern India in a place known as Dharamsala, 1617 01:37:58,000 --> 01:38:01,120 Speaker 1: and there's about a hundred thousand followers of the Dali Lama, 1618 01:38:01,160 --> 01:38:05,120 Speaker 1: for whom the Lama is both the spiritual and temporal 1619 01:38:05,200 --> 01:38:08,720 Speaker 1: political leader. And there's an effort that Dalai Lama, of 1620 01:38:08,760 --> 01:38:12,120 Speaker 1: course is a part of this effort to restore the 1621 01:38:12,280 --> 01:38:16,360 Speaker 1: Lama to being the leader of Tibet. But Tibet is 1622 01:38:16,479 --> 01:38:21,639 Speaker 1: currently under the jurisdiction of the Chinese, and the Chinese 1623 01:38:21,760 --> 01:38:25,400 Speaker 1: are showing no interest in trying or in being willing 1624 01:38:25,400 --> 01:38:29,400 Speaker 1: to give it back. The Lama is a big hitter. 1625 01:38:29,400 --> 01:38:33,360 Speaker 1: The Lama. The Llama is a well known political figure 1626 01:38:33,840 --> 01:38:37,519 Speaker 1: and consider to be somebody who's uh well. He's famous 1627 01:38:37,560 --> 01:38:42,400 Speaker 1: for his wisdom, for his peaceful and genial approach to 1628 01:38:42,680 --> 01:38:46,280 Speaker 1: everyone and everything, and is popular with the Hollywood types. 1629 01:38:46,320 --> 01:38:48,360 Speaker 1: In fact, I don't know if this has dropped off 1630 01:38:48,400 --> 01:38:52,519 Speaker 1: but for a while there were people in Hollywood who 1631 01:38:52,560 --> 01:38:56,000 Speaker 1: were becoming Buddhists, that Buddhism was a fashionable religion and 1632 01:38:56,040 --> 01:39:00,000 Speaker 1: certainly among the fastest growing Eastern religions in the United States. 1633 01:39:00,000 --> 01:39:03,240 Speaker 1: Eights is still Buddhism to this day, and I believe 1634 01:39:03,320 --> 01:39:07,640 Speaker 1: Buddhists are the fourth most represented religious group in the 1635 01:39:07,720 --> 01:39:12,960 Speaker 1: United States, after uh Islam, Judaism, and of course Christianity 1636 01:39:13,040 --> 01:39:16,160 Speaker 1: far and away the most prominent. If you consider atheist 1637 01:39:16,200 --> 01:39:18,320 Speaker 1: to be their own group, then I think the numbers 1638 01:39:18,360 --> 01:39:22,919 Speaker 1: would change a bit. But in terms of traditional religious belief, Buddhists, 1639 01:39:22,920 --> 01:39:25,320 Speaker 1: I think or fourth anyway. So the Llama is a 1640 01:39:25,479 --> 01:39:27,840 Speaker 1: is a famous guy, well known for being peaceful. But 1641 01:39:27,920 --> 01:39:30,400 Speaker 1: here you go, You've got a campus protests that just 1642 01:39:30,400 --> 01:39:33,360 Speaker 1: happened the last few weeks. Campus protests going on here 1643 01:39:33,400 --> 01:39:37,840 Speaker 1: at a at a university California school with Chinese students 1644 01:39:38,080 --> 01:39:42,520 Speaker 1: who believe that the Dalai Lama is a crafty dissembler, 1645 01:39:42,680 --> 01:39:46,000 Speaker 1: a dishonest fellow, someone who is all about peace, love 1646 01:39:46,000 --> 01:39:49,280 Speaker 1: and happiness in front of Western audiences and Hollywood elites 1647 01:39:49,280 --> 01:39:52,680 Speaker 1: and celebrities, but they disapprove of his message because of 1648 01:39:52,720 --> 01:39:56,480 Speaker 1: the violence. There has been violence in Tibet between Tibetan's 1649 01:39:56,560 --> 01:40:01,439 Speaker 1: and Han Chinese and the Chinese government. I think that 1650 01:40:02,000 --> 01:40:05,800 Speaker 1: in this in this dispute, I sighed with the llama, 1651 01:40:05,880 --> 01:40:08,320 Speaker 1: but also in terms of the way you see handled this. 1652 01:40:08,479 --> 01:40:13,160 Speaker 1: No surprise, guess what. They didn't cancel the Dali Lama's speech, 1653 01:40:13,240 --> 01:40:15,720 Speaker 1: despite their being students on campus who said that are 1654 01:40:15,760 --> 01:40:19,519 Speaker 1: equal violence. So they actually got this one right at 1655 01:40:19,880 --> 01:40:23,280 Speaker 1: you see San Diego. They allowed speech even though there 1656 01:40:23,280 --> 01:40:26,000 Speaker 1: were some who were saying that speech in this case 1657 01:40:26,080 --> 01:40:29,679 Speaker 1: of a man most identified with peace, but they said 1658 01:40:29,680 --> 01:40:31,320 Speaker 1: that speech equals violence. I want to talk to you 1659 01:40:31,360 --> 01:40:33,640 Speaker 1: more about that concept actually in just a couple of 1660 01:40:33,640 --> 01:40:37,080 Speaker 1: minutes here and discuss a just crazy New York Times 1661 01:40:37,200 --> 01:40:40,639 Speaker 1: editorial on it that says science supports that leftist position. 1662 01:40:41,160 --> 01:40:42,800 Speaker 1: We'll be back in just a few to hear more. 1663 01:40:42,920 --> 01:40:50,400 Speaker 1: Stay with me. Among the flimsiest and worst arguments that 1664 01:40:50,479 --> 01:40:53,839 Speaker 1: you will hear these days from the progressive left, speech 1665 01:40:54,000 --> 01:40:59,240 Speaker 1: equals violence is almost in a class by itself. This 1666 01:40:59,360 --> 01:41:02,280 Speaker 1: has led to a lot of the craziness that we 1667 01:41:02,360 --> 01:41:07,200 Speaker 1: see on college campuses across the country. Uh, this construction 1668 01:41:07,680 --> 01:41:12,679 Speaker 1: that words that you say are basically the same thing 1669 01:41:12,960 --> 01:41:20,040 Speaker 1: as hitting somebody is the pseudo intellectual justification for all 1670 01:41:20,080 --> 01:41:25,720 Speaker 1: of the censorship and in fact violence on campuses to 1671 01:41:25,840 --> 01:41:31,000 Speaker 1: prevent speech because if speech equals violence, violence in response 1672 01:41:31,080 --> 01:41:36,920 Speaker 1: to speech that is designated as violence becomes acceptable. This 1673 01:41:37,400 --> 01:41:41,760 Speaker 1: is the crazy, convoluted logic of the left. And I'm 1674 01:41:41,760 --> 01:41:47,639 Speaker 1: not exaggerating this, I'm not taking their argument and trying 1675 01:41:47,680 --> 01:41:53,120 Speaker 1: to misrepresented in some way. In fact, now we can 1676 01:41:53,160 --> 01:41:56,200 Speaker 1: add a layer to this. It's not just according to 1677 01:41:56,880 --> 01:42:00,680 Speaker 1: many on the left that speech equals violence, and of 1678 01:42:00,720 --> 01:42:03,920 Speaker 1: course understand that it's speech that they don't like. They 1679 01:42:04,000 --> 01:42:08,320 Speaker 1: get to determine what speech qualifies as violence, and what 1680 01:42:08,479 --> 01:42:11,439 Speaker 1: speech would have protection under the First Amendment, and what 1681 01:42:11,600 --> 01:42:17,080 Speaker 1: speech would be uh necessary for the free exchange of ideas. 1682 01:42:17,240 --> 01:42:20,719 Speaker 1: They get to be the determining factor in all of that. 1683 01:42:20,760 --> 01:42:23,479 Speaker 1: They of course are the censors based on this. So 1684 01:42:23,520 --> 01:42:27,120 Speaker 1: there's a tremendous shift in power that occurs with this 1685 01:42:27,120 --> 01:42:31,519 Speaker 1: whole speech equals violence paradigm, because if somebody that you're 1686 01:42:31,560 --> 01:42:34,639 Speaker 1: debating with gets to just decide, hey, you know what, 1687 01:42:35,080 --> 01:42:37,559 Speaker 1: that speech that you're engaged in is the same thing 1688 01:42:37,560 --> 01:42:40,479 Speaker 1: as violence, they can shut you down without having to 1689 01:42:40,600 --> 01:42:43,880 Speaker 1: engage in any of your ideas. But the layer that 1690 01:42:43,920 --> 01:42:47,400 Speaker 1: we can add on to all of this is that 1691 01:42:47,600 --> 01:42:54,200 Speaker 1: speech equals violence is now scientifically based. My friends, hashtag 1692 01:42:54,400 --> 01:42:57,519 Speaker 1: science are all of science. So you know, I'm like, 1693 01:42:57,760 --> 01:43:00,400 Speaker 1: I'm like a science nerd. I really I'm you know, 1694 01:43:00,439 --> 01:43:04,360 Speaker 1: a progressive Democrat who just you know, climate change, and 1695 01:43:04,360 --> 01:43:08,120 Speaker 1: and I believe in science. This is now part of 1696 01:43:08,160 --> 01:43:11,599 Speaker 1: the argument. I I do not exaggerate. In the New 1697 01:43:11,680 --> 01:43:15,320 Speaker 1: York Times, no less, when is speech violence? Now this 1698 01:43:15,400 --> 01:43:19,439 Speaker 1: was an editorial and and it says things like the 1699 01:43:19,520 --> 01:43:23,960 Speaker 1: following words can have a powerful effect on your nervous system. 1700 01:43:24,439 --> 01:43:28,840 Speaker 1: Certain types of adversity, even those involving no physical contact, 1701 01:43:29,240 --> 01:43:33,360 Speaker 1: can make you sick, alter your brain, even kill neurons, 1702 01:43:33,680 --> 01:43:38,040 Speaker 1: and shorten your life. Your body's immune system includes little 1703 01:43:38,040 --> 01:43:43,880 Speaker 1: proteins called pro inflammatory psyto keines that cause inflammation when 1704 01:43:43,920 --> 01:43:47,920 Speaker 1: you're physically injured under certain conditions. However, these psycho keines 1705 01:43:48,000 --> 01:43:53,240 Speaker 1: themselves can cause physical illness. What are those conditions? One 1706 01:43:53,280 --> 01:43:59,000 Speaker 1: of them is chronic stress. Okay, Now, I actually don't 1707 01:43:59,080 --> 01:44:03,600 Speaker 1: disagree with the hashtag science here. I mean this is 1708 01:44:03,960 --> 01:44:07,240 Speaker 1: legitimate science in the sense that, of course there can 1709 01:44:07,280 --> 01:44:11,800 Speaker 1: be physical impact from psychological trauma and words can lead 1710 01:44:12,240 --> 01:44:16,880 Speaker 1: to psychological trauma. If someone comes up to you and says, oh, 1711 01:44:16,920 --> 01:44:19,880 Speaker 1: by the way, you may not know this, but your 1712 01:44:19,920 --> 01:44:23,839 Speaker 1: spouse just died in a freak accident, and you believe 1713 01:44:23,920 --> 01:44:27,439 Speaker 1: that person, you might be physically ill or you might 1714 01:44:27,800 --> 01:44:31,920 Speaker 1: pass out at that passage of information. So but we 1715 01:44:31,960 --> 01:44:34,600 Speaker 1: we all understand and know this, right, So this is 1716 01:44:34,640 --> 01:44:38,439 Speaker 1: not anything knew the idea that words have an effect 1717 01:44:38,479 --> 01:44:40,559 Speaker 1: on your brain, and your brain has an effect on 1718 01:44:40,720 --> 01:44:45,040 Speaker 1: your body. What the left doesn't seem to understand is 1719 01:44:45,040 --> 01:44:48,720 Speaker 1: that just because you don't like something doesn't mean that 1720 01:44:48,800 --> 01:44:52,480 Speaker 1: it then gets to go in the category of physical 1721 01:44:52,640 --> 01:44:59,280 Speaker 1: illness inducing attack and they they She goes into the 1722 01:44:59,320 --> 01:45:02,599 Speaker 1: author here. The editorial goes into some detail about well, 1723 01:45:02,600 --> 01:45:07,639 Speaker 1: why specifically, um, why specifically speech can be a form 1724 01:45:07,720 --> 01:45:10,720 Speaker 1: of violence of and and how we can separate this 1725 01:45:10,760 --> 01:45:13,400 Speaker 1: out because the big problem then is, well, who makes 1726 01:45:13,439 --> 01:45:18,000 Speaker 1: the determination as to what's a the the what's the 1727 01:45:18,080 --> 01:45:21,679 Speaker 1: equivalent of a verbal threat to somebody that can cause 1728 01:45:21,760 --> 01:45:26,240 Speaker 1: actual physical symptoms? And saying that, you know, I think 1729 01:45:26,240 --> 01:45:29,920 Speaker 1: that traditional marriage between a man and a woman is 1730 01:45:29,920 --> 01:45:32,679 Speaker 1: really the only form of marriage that society should promote. 1731 01:45:32,720 --> 01:45:34,840 Speaker 1: For example, as an idea. If someone were to say that, 1732 01:45:35,000 --> 01:45:37,000 Speaker 1: is that now a form of violence too? That might 1733 01:45:37,040 --> 01:45:41,040 Speaker 1: make someone physically ill. But where is the where do 1734 01:45:41,080 --> 01:45:43,280 Speaker 1: you draw the line? Who gets to draw the line, 1735 01:45:43,280 --> 01:45:46,640 Speaker 1: Who makes the determination. Of course, the left wants to 1736 01:45:46,640 --> 01:45:49,000 Speaker 1: be making these determinations, which is why they push this 1737 01:45:49,560 --> 01:45:52,840 Speaker 1: ideology as much as they do. And so back to 1738 01:45:53,160 --> 01:45:57,639 Speaker 1: this piece. If words can cause stress quote, and if 1739 01:45:57,680 --> 01:46:01,839 Speaker 1: prolonged stress can cause physical harm, then it seems that speech, 1740 01:46:01,960 --> 01:46:05,080 Speaker 1: at least certain types of speech can be a form 1741 01:46:05,280 --> 01:46:09,680 Speaker 1: of violence. But which types This question has taken on 1742 01:46:09,760 --> 01:46:13,520 Speaker 1: some urgency in the past few years, as professed defenders 1743 01:46:13,520 --> 01:46:16,960 Speaker 1: of social justice have clashed with professed defenders of free 1744 01:46:17,000 --> 01:46:20,720 Speaker 1: speech on college campuses. Trigger warnings are based on a 1745 01:46:20,720 --> 01:46:24,519 Speaker 1: similar principle that discussions of certain topics will trigger or 1746 01:46:24,640 --> 01:46:29,000 Speaker 1: reproduce past trauma, as opposed to merely challenging or discomfiting 1747 01:46:29,040 --> 01:46:34,800 Speaker 1: the student. The same goes for quote microaggressions. The scientific 1748 01:46:34,840 --> 01:46:39,599 Speaker 1: findings I describe are empirical evidence for which kinds of 1749 01:46:39,600 --> 01:46:43,000 Speaker 1: controversial speech should and shouldn't be acceptable on campus and 1750 01:46:43,040 --> 01:46:46,840 Speaker 1: in civil society. In short, the answer depends on whether 1751 01:46:46,840 --> 01:46:52,600 Speaker 1: this speech is abusive or merely offensive. Now, this is 1752 01:46:52,640 --> 01:46:54,880 Speaker 1: the entirety of the debate, the issue. This is the 1753 01:46:54,880 --> 01:46:58,240 Speaker 1: heart of it right here. So you have this, this 1754 01:46:58,520 --> 01:47:01,639 Speaker 1: expert writing the New York Tie from the perspective, of course, 1755 01:47:01,680 --> 01:47:05,200 Speaker 1: of the progressive left, writing that speech can in fact 1756 01:47:05,240 --> 01:47:09,400 Speaker 1: be a form of violence, and therefore you can restrict 1757 01:47:09,439 --> 01:47:13,920 Speaker 1: speech as a violent act based on content. And the 1758 01:47:13,960 --> 01:47:17,040 Speaker 1: immediate question that follows that is, well, who gets to 1759 01:47:17,120 --> 01:47:22,559 Speaker 1: determine which content falls into which category? And she comes 1760 01:47:22,640 --> 01:47:29,880 Speaker 1: up with this abusive versus offensive test. Now this is 1761 01:47:29,920 --> 01:47:35,519 Speaker 1: how we know the argument is completely utter crap. Who 1762 01:47:35,680 --> 01:47:38,880 Speaker 1: who's going What is the difference between abusive or offensive? 1763 01:47:39,800 --> 01:47:43,639 Speaker 1: Who will make that determination? This is like somebody sitting 1764 01:47:43,680 --> 01:47:46,240 Speaker 1: around saying that, Well, the real problem here, let's make 1765 01:47:46,280 --> 01:47:49,040 Speaker 1: it a matter of law whether I'm making you sad 1766 01:47:49,160 --> 01:47:53,720 Speaker 1: or just unhappy? How do you distinguish that? How can 1767 01:47:53,760 --> 01:47:59,960 Speaker 1: anyone make such a makes such separation. It's just completely, 1768 01:48:01,200 --> 01:48:05,360 Speaker 1: completely and utterly intellectual, intellectually indefensible. She goes on to write, 1769 01:48:05,600 --> 01:48:10,320 Speaker 1: that's why it's reasonable, scientifically speaking, not to allow a 1770 01:48:10,360 --> 01:48:14,040 Speaker 1: provocateur and hate monger like Milo Unapolis to speak at 1771 01:48:14,080 --> 01:48:17,880 Speaker 1: your school. He is part of something noxious, a campaign 1772 01:48:18,520 --> 01:48:21,639 Speaker 1: of abuse, there's nothing to be gained from debating him, 1773 01:48:21,760 --> 01:48:26,320 Speaker 1: for debate is not what he is offering. She doesn't 1774 01:48:26,360 --> 01:48:30,479 Speaker 1: even last a couple of paragraphs this editorial columnist. She 1775 01:48:30,600 --> 01:48:33,000 Speaker 1: doesn't even go more than a few sentences. Her name 1776 01:48:33,080 --> 01:48:38,200 Speaker 1: is Lisa Barrett, who's a professor of psychology at Northeastern University. 1777 01:48:38,200 --> 01:48:40,360 Speaker 1: By the way, as an aside as I have told 1778 01:48:40,360 --> 01:48:44,720 Speaker 1: you before, in the medical profession, psychologists and psychiatrists are 1779 01:48:45,360 --> 01:48:49,719 Speaker 1: the most progressive, the furthest left. Surgeons, by the way, 1780 01:48:49,840 --> 01:48:53,679 Speaker 1: tend to be conservative. Uh So, a little fun fact 1781 01:48:53,720 --> 01:48:56,880 Speaker 1: for all of you at home. So she's saying in 1782 01:48:56,920 --> 01:49:00,559 Speaker 1: this piece that Milo speaking at your school is part 1783 01:49:00,640 --> 01:49:04,720 Speaker 1: of a campaign of abuse. Therefore it's like a systemic 1784 01:49:04,760 --> 01:49:07,960 Speaker 1: and continuous abuse. But he's only showing up one time 1785 01:49:08,000 --> 01:49:11,720 Speaker 1: to speak. Well, if Milo speaking one time, and you know, 1786 01:49:11,760 --> 01:49:13,559 Speaker 1: and I don't like to just focus on this one 1787 01:49:13,600 --> 01:49:16,519 Speaker 1: person who I think likes you know, who obviously likes attention. 1788 01:49:17,200 --> 01:49:19,439 Speaker 1: But if if someone coming to speak on a college 1789 01:49:19,439 --> 01:49:23,240 Speaker 1: campus one time can be shut down because it's part 1790 01:49:23,280 --> 01:49:28,439 Speaker 1: of a systemic campaign of abuse, then any person speaking 1791 01:49:28,560 --> 01:49:32,400 Speaker 1: in any context could be said to be part of 1792 01:49:32,439 --> 01:49:36,479 Speaker 1: a broader campaign of quote abuse and therefore shut down 1793 01:49:36,840 --> 01:49:40,920 Speaker 1: because of hashtag science as a form of violence. So 1794 01:49:41,520 --> 01:49:43,679 Speaker 1: let me break this. Let me just give some examples, 1795 01:49:43,760 --> 01:49:45,880 Speaker 1: or break this down a little bit. If I showed 1796 01:49:45,960 --> 01:49:49,760 Speaker 1: up at a college campus and I said, transgenderism is 1797 01:49:50,000 --> 01:49:54,559 Speaker 1: not based in science. It is a political fashion. Uh, 1798 01:49:55,240 --> 01:49:58,320 Speaker 1: That in and of itself is an exchange of an idea. Right, 1799 01:49:58,560 --> 01:50:00,960 Speaker 1: that is something that and I'm not even you know, 1800 01:50:01,240 --> 01:50:03,280 Speaker 1: without getting the specifics of that position. I'm just coming 1801 01:50:03,320 --> 01:50:06,479 Speaker 1: up with a theoretical right, so i can state that. 1802 01:50:06,840 --> 01:50:10,120 Speaker 1: But you see, based on the framework that this professor 1803 01:50:10,280 --> 01:50:14,080 Speaker 1: and psychologist has come up with, that speech could be 1804 01:50:14,160 --> 01:50:18,400 Speaker 1: disallowed because even though you could just say, well that's offensive, 1805 01:50:18,640 --> 01:50:22,680 Speaker 1: Oh no, one instance of offensiveness that falls into a 1806 01:50:22,840 --> 01:50:28,920 Speaker 1: broader narrative of offensive speech can be considered quote abusive 1807 01:50:29,080 --> 01:50:32,120 Speaker 1: and therefore is equivalent of violence. Right. So me showing 1808 01:50:32,200 --> 01:50:35,760 Speaker 1: up one time at a campus and saying transgenderism is 1809 01:50:35,800 --> 01:50:39,559 Speaker 1: a political fashion, not a medical reality, I might be 1810 01:50:39,720 --> 01:50:42,720 Speaker 1: the tenth person who said that, written that been on 1811 01:50:42,760 --> 01:50:45,840 Speaker 1: TV talking about it that week. So I'm part of abuse, 1812 01:50:46,520 --> 01:50:50,080 Speaker 1: you see, I'm not just being offensive, whether you think 1813 01:50:50,080 --> 01:50:54,080 Speaker 1: that's offensive or not. So the standard that this person 1814 01:50:54,160 --> 01:50:56,320 Speaker 1: who has given the platform of the New York Times 1815 01:50:56,360 --> 01:51:00,400 Speaker 1: in which to write, the standard isn't even applica. It 1816 01:51:00,439 --> 01:51:04,080 Speaker 1: immediately falls down. It falls apart, It cannot be applied, 1817 01:51:04,400 --> 01:51:09,920 Speaker 1: It falls into incoherence. It is self negating. Never mind, 1818 01:51:10,000 --> 01:51:13,400 Speaker 1: how well you should never mind, But this is even 1819 01:51:13,439 --> 01:51:17,799 Speaker 1: a step beyond the arbitrary nous of this abusive versus 1820 01:51:18,000 --> 01:51:22,799 Speaker 1: offensive standard. I am offended by ideas all the time. 1821 01:51:23,360 --> 01:51:25,880 Speaker 1: I am offended by a lot of what the Democratic 1822 01:51:25,920 --> 01:51:29,479 Speaker 1: Party stands for, and I suffer a fair amount of 1823 01:51:29,520 --> 01:51:33,360 Speaker 1: abuse from Democrats for my ideas. And yet I never 1824 01:51:33,479 --> 01:51:37,920 Speaker 1: feel the inclination to run and cry to the authorities. 1825 01:51:37,960 --> 01:51:39,640 Speaker 1: I mean, I'm out of a college campus. But you know, 1826 01:51:39,720 --> 01:51:42,519 Speaker 1: I could run into the police, or you know, run 1827 01:51:42,560 --> 01:51:44,920 Speaker 1: out and say that we should pass laws. I could 1828 01:51:44,960 --> 01:51:49,000 Speaker 1: be promoting and advocating for laws that limit speech based 1829 01:51:49,000 --> 01:51:51,640 Speaker 1: on content, because I understand that there is a an 1830 01:51:51,800 --> 01:51:56,400 Speaker 1: essential principle that we cannot abandon. If we have beendon 1831 01:51:56,479 --> 01:51:59,080 Speaker 1: the right to the free exchange of ideas, we have 1832 01:51:59,240 --> 01:52:03,400 Speaker 1: abandoned freedom. There is no other way to say it. 1833 01:52:03,479 --> 01:52:06,160 Speaker 1: There's no way around it. If the free exchange of 1834 01:52:06,240 --> 01:52:12,200 Speaker 1: ideas is not a fundamental foundational concept in our society 1835 01:52:12,320 --> 01:52:16,400 Speaker 1: in America. We are no longer a free people. We 1836 01:52:16,520 --> 01:52:19,920 Speaker 1: we are allowing the left to erode what is most 1837 01:52:20,000 --> 01:52:23,920 Speaker 1: precious about our culture, about our society, about our civilization 1838 01:52:25,160 --> 01:52:28,880 Speaker 1: without enough of a fight. We need to be very 1839 01:52:28,880 --> 01:52:32,840 Speaker 1: clear on these issues, and that someone with academic credentials 1840 01:52:32,840 --> 01:52:35,720 Speaker 1: and the platform of the largest newspaper or one of 1841 01:52:35,720 --> 01:52:39,400 Speaker 1: the largest newspapers in the country is writing that speech 1842 01:52:39,400 --> 01:52:43,200 Speaker 1: can equal violence based on an arbitrary and unenforceable standard, 1843 01:52:43,360 --> 01:52:47,799 Speaker 1: and that science backs this up. That's the objective aspect, 1844 01:52:47,840 --> 01:52:51,479 Speaker 1: that scientifically speaking, speech equals violence, and now determining what 1845 01:52:51,640 --> 01:52:56,000 Speaker 1: speechs equals violence is arbitrary. This is dangerous. This is, 1846 01:52:56,120 --> 01:53:02,320 Speaker 1: without exaggeration, a threat to freedom. Alright, Uh finished, kind 1847 01:53:02,320 --> 01:53:04,679 Speaker 1: of on a on an intense note today, Team um, 1848 01:53:04,680 --> 01:53:06,800 Speaker 1: thank you so much for being here. As always, hope 1849 01:53:06,880 --> 01:53:10,479 Speaker 1: you are enjoying doing a little perusing of the offerings 1850 01:53:10,520 --> 01:53:12,679 Speaker 1: of Team buck gear, which you can get on bucks 1851 01:53:12,680 --> 01:53:16,960 Speaker 1: exton dot com, slash store, hats, t shirts, all kinds 1852 01:53:16,960 --> 01:53:19,680 Speaker 1: of fun paraphernalia with more to come. Please do check 1853 01:53:19,720 --> 01:53:21,720 Speaker 1: it out and share the show if you don't mind 1854 01:53:21,720 --> 01:53:23,720 Speaker 1: with a friend. Go to Buck Sexton with America now 1855 01:53:23,800 --> 01:53:27,439 Speaker 1: on iTunes and uh and download us I would really 1856 01:53:27,439 --> 01:53:31,200 Speaker 1: appreciate that. Tell one friend this week and uh, Team 1857 01:53:31,240 --> 01:53:33,720 Speaker 1: Buck will be growing by leaps and bounds in no 1858 01:53:33,840 --> 01:53:35,880 Speaker 1: time at all. We already are growing, but you can 1859 01:53:35,920 --> 01:53:38,920 Speaker 1: help us grow a lot faster. Until tomorrow, my friends, 1860 01:53:38,960 --> 01:53:40,680 Speaker 1: we're gonna have quite a week. I promise you that 1861 01:53:41,400 --> 01:53:42,040 Speaker 1: shields up