1 00:00:00,080 --> 00:00:03,320 Speaker 1: Welcome to today's edition of The Clay Travis and Buck 2 00:00:03,360 --> 00:00:07,560 Speaker 1: Sexton Show podcast. Welcome back into the Clay Travis and 3 00:00:07,680 --> 00:00:10,959 Speaker 1: Buck Sexton Show. Everybody, thanks for being here with us. 4 00:00:11,160 --> 00:00:16,279 Speaker 1: We have as promised. Selena Zito with us right now. 5 00:00:16,560 --> 00:00:19,720 Speaker 1: She is a reporter for the Washington Examiner and a 6 00:00:19,800 --> 00:00:22,599 Speaker 1: commist for the New York Coast and Pittsburgh Coast Gazette. 7 00:00:23,680 --> 00:00:26,119 Speaker 1: She is also the author of The Great Revolt Inside 8 00:00:26,120 --> 00:00:31,720 Speaker 1: the Populist Coalition, Reshaping American Politics. Selina, Selena, thanks so 9 00:00:31,840 --> 00:00:34,600 Speaker 1: much for being with us. How are you kidding me? 10 00:00:34,720 --> 00:00:36,960 Speaker 1: Thanks so much for having me. It's really nice to 11 00:00:37,000 --> 00:00:38,880 Speaker 1: talk to you. Guys. So I've known your work, and 12 00:00:38,920 --> 00:00:40,760 Speaker 1: you know, we've known each other for a while, and 13 00:00:40,840 --> 00:00:44,000 Speaker 1: you do this fascinating thing for someone who covers national politics. 14 00:00:44,000 --> 00:00:48,760 Speaker 1: You actually go into places that aren't DC within two 15 00:00:48,760 --> 00:00:51,480 Speaker 1: hour drive New York City, within a two hour drive. 16 00:00:51,560 --> 00:00:55,520 Speaker 1: You go to other places and talk to people. Well, 17 00:00:55,640 --> 00:00:57,920 Speaker 1: given that that is your area of focus, what are 18 00:00:57,920 --> 00:01:01,800 Speaker 1: the American people feeling right now when you're on Main Street? 19 00:01:02,400 --> 00:01:04,920 Speaker 1: What are people saying about the Biden administration? What are 20 00:01:04,959 --> 00:01:08,440 Speaker 1: their concerns, What are the things going right? What's going wrong? 21 00:01:08,600 --> 00:01:12,960 Speaker 1: What are you hearing so um when I have been 22 00:01:12,959 --> 00:01:16,119 Speaker 1: hearing and I think, I think probably what keeps me 23 00:01:16,680 --> 00:01:19,760 Speaker 1: grounded is that I live in western Pennsylvania, so or 24 00:01:19,760 --> 00:01:24,440 Speaker 1: are the Paris of Appalachia and the beginning of the Midwest, 25 00:01:25,120 --> 00:01:29,920 Speaker 1: and so I have a different perspective than someone who 26 00:01:29,959 --> 00:01:32,440 Speaker 1: lives in the super zip codes in this country. I 27 00:01:32,520 --> 00:01:35,800 Speaker 1: see people differently because I've shared their we have shared 28 00:01:35,880 --> 00:01:41,800 Speaker 1: life experiences. So this will be interesting, I think, maybe 29 00:01:41,920 --> 00:01:46,040 Speaker 1: to you. But I saw a change in people's point 30 00:01:46,160 --> 00:01:52,400 Speaker 1: of view about President Biden back in August during uh 31 00:01:52,920 --> 00:01:56,080 Speaker 1: in the sort of days leading up and the weeks 32 00:01:56,280 --> 00:02:00,560 Speaker 1: after what happened in Afghanistan. Now it's not and there's 33 00:02:00,600 --> 00:02:03,080 Speaker 1: a nuance here. It's not that people did or did 34 00:02:03,120 --> 00:02:08,160 Speaker 1: not want to leave Afghanistan. That wasn't the central core 35 00:02:08,320 --> 00:02:13,280 Speaker 1: of this breakaway. But it was the negligence in which 36 00:02:13,320 --> 00:02:19,080 Speaker 1: it was handled that started to peel away voters who 37 00:02:19,280 --> 00:02:22,880 Speaker 1: had decided to vote for Biden and or just sit 38 00:02:23,000 --> 00:02:29,919 Speaker 1: it out, which is part of conservative populism, and they 39 00:02:30,160 --> 00:02:33,880 Speaker 1: started to think, look, this is not what we you know, 40 00:02:34,040 --> 00:02:38,520 Speaker 1: bought into, this is not what was promised. And so 41 00:02:38,680 --> 00:02:42,079 Speaker 1: what you started to see or on a road about 42 00:02:42,120 --> 00:02:46,840 Speaker 1: this U there were this thirteen beers, the thirteen glasses 43 00:02:46,880 --> 00:02:51,600 Speaker 1: of wine, the thirteen plates um set up at tables, 44 00:02:51,639 --> 00:02:54,480 Speaker 1: and then you started to see thirteen chairs on the 45 00:02:54,600 --> 00:02:57,520 Speaker 1: side of the road in front of people's houses. There 46 00:02:57,639 --> 00:03:02,120 Speaker 1: was this sort of response was not seen but the 47 00:03:02,240 --> 00:03:05,799 Speaker 1: but the national press was very real and very tangible. 48 00:03:06,440 --> 00:03:11,440 Speaker 1: And it then continued with what happened with the Haitian 49 00:03:11,560 --> 00:03:17,400 Speaker 1: refugees in Texas, and and and then by the time 50 00:03:18,200 --> 00:03:22,320 Speaker 1: sort of this whole bill came across the UM the 51 00:03:22,440 --> 00:03:27,640 Speaker 1: wire and the details, details that we somewhat know started 52 00:03:27,680 --> 00:03:32,920 Speaker 1: to leak out, UM voters had decided that, you know, 53 00:03:32,960 --> 00:03:37,800 Speaker 1: they sent the Democrats and Biden to DC and with 54 00:03:38,560 --> 00:03:40,920 Speaker 1: and and they sent a message that we wanted things 55 00:03:40,920 --> 00:03:44,920 Speaker 1: to return to normal. And Democrats sread that message and thought, 56 00:03:44,960 --> 00:03:48,880 Speaker 1: oh I we can, we can do whatever we want. 57 00:03:48,960 --> 00:03:53,040 Speaker 1: They loved us. No, they were just like Republicans West 58 00:03:53,200 --> 00:03:57,200 Speaker 1: at that moment. And I would argue that the blue 59 00:03:57,240 --> 00:04:00,800 Speaker 1: wave that was expected to happen in November twenty and 60 00:04:00,840 --> 00:04:04,880 Speaker 1: I've written about this, never really happened. In fact, if 61 00:04:04,920 --> 00:04:08,760 Speaker 1: you look down ballot at races across the country or 62 00:04:08,800 --> 00:04:12,960 Speaker 1: even in my home state of Pennsylvania Republicans and conservative 63 00:04:13,000 --> 00:04:16,920 Speaker 1: candidates one down ballot in the beginning of a red 64 00:04:17,000 --> 00:04:21,960 Speaker 1: wave that you started to see continue in mayors races 65 00:04:21,960 --> 00:04:26,560 Speaker 1: and special election elections in Texas and in Virginia, in 66 00:04:27,000 --> 00:04:31,040 Speaker 1: New Jersey. You that was sort of the wake up call, 67 00:04:31,200 --> 00:04:35,360 Speaker 1: I think for the rest of the for the rest 68 00:04:35,400 --> 00:04:39,280 Speaker 1: of the press. But I had been down in Virginia 69 00:04:39,440 --> 00:04:43,120 Speaker 1: for months and while I sold what the issues were 70 00:04:43,440 --> 00:04:47,880 Speaker 1: very localized, the thing that the press got wrong, and 71 00:04:47,960 --> 00:04:52,240 Speaker 1: the thing that the Democrats got wrong, is that they 72 00:04:52,360 --> 00:04:55,800 Speaker 1: continue to believe that this election was about Donald Trump. 73 00:04:56,160 --> 00:04:59,560 Speaker 1: Voters are very forward thinking. Whether they liked them, they 74 00:04:59,640 --> 00:05:02,880 Speaker 1: loved him, or they loathed him, they had moved on 75 00:05:03,600 --> 00:05:07,120 Speaker 1: and we're thinking about their community, their children, their grandchildren, 76 00:05:07,440 --> 00:05:10,799 Speaker 1: and that's what they were voting on. Selena, I appreciate 77 00:05:10,800 --> 00:05:12,560 Speaker 1: you coming on. One of the things that I've been 78 00:05:12,560 --> 00:05:15,320 Speaker 1: doing is I'm on the road the entire fall doing 79 00:05:15,360 --> 00:05:21,680 Speaker 1: a college football tour for Fox Well. I appreciate that, 80 00:05:21,800 --> 00:05:23,320 Speaker 1: and one of the things that I love about it 81 00:05:23,480 --> 00:05:26,000 Speaker 1: is all the face to face interaction I have with 82 00:05:26,040 --> 00:05:29,240 Speaker 1: people from a variety of different parts of the South 83 00:05:29,680 --> 00:05:32,560 Speaker 1: and hearing what they are paying attention to and what 84 00:05:32,640 --> 00:05:35,000 Speaker 1: I find, Selena, and I'm curious, and you're reporting what 85 00:05:35,080 --> 00:05:38,400 Speaker 1: you find. Most people aren't following things that go on 86 00:05:38,480 --> 00:05:40,599 Speaker 1: in Washington, DC on a day to day basis. They're 87 00:05:40,600 --> 00:05:44,320 Speaker 1: busy in their own lives. They've got kids, grandkids, jobs, responsibilities, 88 00:05:44,360 --> 00:05:47,440 Speaker 1: everything else. But what they do have is a general 89 00:05:47,600 --> 00:05:50,960 Speaker 1: sense for whether or not they trust someone to do 90 00:05:51,000 --> 00:05:53,680 Speaker 1: a good job. And at this point in time, it 91 00:05:53,760 --> 00:05:56,279 Speaker 1: seems to me that the vast majority of the American 92 00:05:56,320 --> 00:05:59,640 Speaker 1: public has decided, for a variety of different reasons, that 93 00:05:59,720 --> 00:06:03,400 Speaker 1: they do not trust Joe Biden to do a good job. Now, 94 00:06:03,680 --> 00:06:06,920 Speaker 1: we've seen this happen before. Nineteen ninety four, Bill Clinton 95 00:06:06,960 --> 00:06:10,680 Speaker 1: gets snowed under in the midterms. Same thing happens with 96 00:06:10,920 --> 00:06:14,760 Speaker 1: Barack Obama in two ten. But those guys were adroit 97 00:06:14,920 --> 00:06:19,200 Speaker 1: enough politicians to build themselves back to an electable position 98 00:06:19,240 --> 00:06:23,160 Speaker 1: in nineteen ninety six and in two twelve. Joe Biden 99 00:06:23,240 --> 00:06:26,320 Speaker 1: doesn't seem capable of that. If you were trying to 100 00:06:26,360 --> 00:06:29,440 Speaker 1: assess what you are seeing across the country as well, 101 00:06:29,920 --> 00:06:34,280 Speaker 1: how does Biden reverse the impressions that exist among voters 102 00:06:34,440 --> 00:06:38,520 Speaker 1: now of him? Is that, in your mind possible? Given 103 00:06:38,640 --> 00:06:43,440 Speaker 1: his set of political talents. I don't think it's possible. 104 00:06:43,600 --> 00:06:46,479 Speaker 1: Here's for a number of reasons at first. And I 105 00:06:46,520 --> 00:06:48,599 Speaker 1: have to commend you the work that you do because 106 00:06:48,600 --> 00:06:52,720 Speaker 1: I really follow it and it's kind of joyful. And 107 00:06:53,240 --> 00:06:57,320 Speaker 1: that's how I find reporting in the Midwest, midlandic all 108 00:06:57,360 --> 00:07:01,960 Speaker 1: across the country. Yes, it's joyful. You get out on 109 00:07:02,000 --> 00:07:04,880 Speaker 1: the road. I don't fly, I don't take interstates. I 110 00:07:04,920 --> 00:07:07,400 Speaker 1: only take back roads. And you get out there and 111 00:07:07,440 --> 00:07:10,800 Speaker 1: you're like, we are in a totally different world than 112 00:07:10,840 --> 00:07:15,200 Speaker 1: what you see on social media, completely different worlds. People 113 00:07:15,240 --> 00:07:19,320 Speaker 1: are much more aspirational. I think that guy is already 114 00:07:19,360 --> 00:07:25,360 Speaker 1: cast for President Biden. I don't think there is redemption available, 115 00:07:25,520 --> 00:07:28,960 Speaker 1: and the reason why is he's going to be unwilling 116 00:07:29,000 --> 00:07:33,360 Speaker 1: to ask for it. The problem in our country is 117 00:07:34,880 --> 00:07:38,280 Speaker 1: not just in government, but also in our cultural curators, 118 00:07:38,320 --> 00:07:43,559 Speaker 1: the people who run the corporations the National Football League, 119 00:07:43,600 --> 00:07:49,320 Speaker 1: Major League Baseball, Entertainment, Hollywood, and the larger news organizations, 120 00:07:49,680 --> 00:07:52,040 Speaker 1: is that they don't have a connection to the people 121 00:07:52,040 --> 00:07:54,800 Speaker 1: who sit in their seats or who they serve. Yes, 122 00:07:55,120 --> 00:08:00,200 Speaker 1: and they are unwilling to change that. A lot of 123 00:08:00,320 --> 00:08:03,040 Speaker 1: that has to do with, as I said before, they 124 00:08:03,080 --> 00:08:05,840 Speaker 1: all live in the same sort of super zip codes. 125 00:08:06,120 --> 00:08:08,239 Speaker 1: They all went to the same schools, and they all 126 00:08:08,280 --> 00:08:12,280 Speaker 1: know only people just like them themselves. They don't want 127 00:08:12,320 --> 00:08:16,120 Speaker 1: to know people that believe that the life issue is important. 128 00:08:16,120 --> 00:08:18,640 Speaker 1: They don't know anybody who owns a gun. They don't 129 00:08:18,680 --> 00:08:21,080 Speaker 1: know anybody who knows how to use a gun or 130 00:08:21,160 --> 00:08:24,000 Speaker 1: sits in a pew every Sunday. So there's no connection 131 00:08:24,120 --> 00:08:29,640 Speaker 1: into understanding these people, and there's no there's no um 132 00:08:30,720 --> 00:08:35,319 Speaker 1: recognition that they should. So that's why this will contend. 133 00:08:35,400 --> 00:08:39,800 Speaker 1: That's why Joe Biden has a problem in redeeming himself 134 00:08:39,800 --> 00:08:44,040 Speaker 1: with voters, because he doesn't believe he has a problem. 135 00:08:44,400 --> 00:08:48,240 Speaker 1: And that is sort of mind blowing to me as 136 00:08:48,280 --> 00:08:52,440 Speaker 1: as I just watch people sort of peel off away 137 00:08:52,520 --> 00:08:57,640 Speaker 1: from him, you know, and or um go towards conservatives 138 00:08:57,679 --> 00:09:00,439 Speaker 1: because there are people that just set it out last year. 139 00:09:00,760 --> 00:09:03,600 Speaker 1: We're speaking to Selena Zito, reporter for The Washington Examiner 140 00:09:03,640 --> 00:09:06,880 Speaker 1: and author of the Great Result Inside the Populist Coalition, 141 00:09:07,320 --> 00:09:11,960 Speaker 1: Reshaping American Politics. Selena, one thing that doesn't get as 142 00:09:12,040 --> 00:09:14,680 Speaker 1: much attention, it seems, in the new cycle in general, 143 00:09:15,520 --> 00:09:18,720 Speaker 1: as one would think based upon polling that shows concerns 144 00:09:18,720 --> 00:09:22,080 Speaker 1: of the American people is illegal immigration. This is not 145 00:09:22,280 --> 00:09:25,120 Speaker 1: a story that the Bide administration seems very interested in 146 00:09:25,160 --> 00:09:28,120 Speaker 1: people following closely. I mean, just as I'm talking now, 147 00:09:28,360 --> 00:09:31,079 Speaker 1: CNN has been running a lot of insurrection coverage for 148 00:09:31,120 --> 00:09:33,800 Speaker 1: the last couple of hours, right, not talking about the 149 00:09:33,960 --> 00:09:36,839 Speaker 1: hundreds of thousands of people entering the United States illegally 150 00:09:37,240 --> 00:09:40,000 Speaker 1: month after month of the Bide administration. Do you get 151 00:09:40,040 --> 00:09:42,480 Speaker 1: a sense from talking to people in places that the 152 00:09:42,480 --> 00:09:47,240 Speaker 1: media doesn't focus on that immigration illegal immigration specifically is 153 00:09:47,280 --> 00:09:49,440 Speaker 1: the kind of issue that might have a major impact 154 00:09:49,480 --> 00:09:51,640 Speaker 1: in the mid terms, because the polling usually shows it 155 00:09:51,679 --> 00:09:55,720 Speaker 1: to be a top three or four issue. Yeah. Absolutely, 156 00:09:55,760 --> 00:10:00,160 Speaker 1: And there's nuance out here. So out here and from 157 00:10:00,200 --> 00:10:03,760 Speaker 1: Pennsylvania or Ohio or Michigan or Wisconsin or any of 158 00:10:03,800 --> 00:10:08,480 Speaker 1: these states that I cover. Illegal immigration is viewed through 159 00:10:08,480 --> 00:10:13,680 Speaker 1: the prism of the opioid and fentnol problem. The addiction 160 00:10:13,720 --> 00:10:16,480 Speaker 1: problem is one of you know, people don't talk about 161 00:10:16,520 --> 00:10:19,400 Speaker 1: this either. There's one of the larger problems of why 162 00:10:19,480 --> 00:10:23,360 Speaker 1: we don't have a workforce in this country. We have 163 00:10:23,600 --> 00:10:27,880 Speaker 1: a really bad opioid problem out here, and it's only 164 00:10:27,960 --> 00:10:34,200 Speaker 1: gotten worse during the During the pandemic, and you know, 165 00:10:34,200 --> 00:10:38,880 Speaker 1: it was something that Donald Trump was very willing to 166 00:10:38,920 --> 00:10:41,880 Speaker 1: sort of talk about in a very realistic way in 167 00:10:41,960 --> 00:10:46,280 Speaker 1: twenty sixteen. We saw a drop in addictions in twenty 168 00:10:46,320 --> 00:10:50,000 Speaker 1: seventeen and twenty eighteen, and now there has been a surge. 169 00:10:50,280 --> 00:10:53,960 Speaker 1: So people, not only people in Appalachia where you think 170 00:10:53,960 --> 00:10:57,040 Speaker 1: of towns where there's despair and all the jobs have left, 171 00:10:57,320 --> 00:11:01,920 Speaker 1: but also in the mid upper middle class to wealthy neighborhoods. 172 00:11:02,040 --> 00:11:05,240 Speaker 1: They know their kids are being exposed to it and 173 00:11:05,360 --> 00:11:08,120 Speaker 1: they don't like it, and so that's how they view 174 00:11:08,960 --> 00:11:14,000 Speaker 1: illegal immigration. So you said, Selena that you don't think 175 00:11:14,040 --> 00:11:17,840 Speaker 1: Biden can reverse the trajectory that his administration is on. 176 00:11:18,120 --> 00:11:21,679 Speaker 1: And I know, certainly twenty twenty end beyond has made 177 00:11:21,760 --> 00:11:24,920 Speaker 1: fools of anyone trying to predict where we are headed. 178 00:11:25,440 --> 00:11:27,400 Speaker 1: But in your mind, based on what you see in 179 00:11:27,440 --> 00:11:30,520 Speaker 1: the Upper Midwest, in Pennsylvania and Ohio and Michigan and 180 00:11:30,600 --> 00:11:33,760 Speaker 1: sort of the backbone of the Big Ten States is 181 00:11:33,800 --> 00:11:35,760 Speaker 1: the way that I would describe it. I'm all over 182 00:11:35,840 --> 00:11:39,040 Speaker 1: the SEC States right now, but there's a certain affinity 183 00:11:39,120 --> 00:11:42,960 Speaker 1: for football, for being outdoors, for a lifestyle in the 184 00:11:43,000 --> 00:11:46,080 Speaker 1: Big Ten in SEC states that isn't necessarily reflected in 185 00:11:46,120 --> 00:11:48,600 Speaker 1: the East and West coast. Where are we headed in 186 00:11:48,640 --> 00:11:51,600 Speaker 1: your mind in twenty twenty two and in twenty four 187 00:11:52,000 --> 00:11:56,800 Speaker 1: for the Biden administration going forward, Well, I think it 188 00:11:56,960 --> 00:12:01,440 Speaker 1: may be interesting to take a look at offior election results, 189 00:12:01,520 --> 00:12:05,000 Speaker 1: just in my state of Pennsylvania alone, the sort of 190 00:12:05,080 --> 00:12:08,760 Speaker 1: red wave that began down valot in my state in 191 00:12:09,200 --> 00:12:13,480 Speaker 1: last November, or state House and State Senate seats that 192 00:12:13,559 --> 00:12:17,440 Speaker 1: were supposed to be lost and majorities that were supposed 193 00:12:17,440 --> 00:12:20,960 Speaker 1: to be lost were not only one were not only held, 194 00:12:21,240 --> 00:12:24,959 Speaker 1: but more seats were gained. But this state went incredibly 195 00:12:25,280 --> 00:12:29,760 Speaker 1: more read if it's at all possible, in this offier election, 196 00:12:30,240 --> 00:12:34,599 Speaker 1: and those sort of granular small races for sheriff, for 197 00:12:34,840 --> 00:12:38,719 Speaker 1: district attorney, for row offices, for county row offices are 198 00:12:38,720 --> 00:12:43,600 Speaker 1: incredibly important. And I would point to Erie, Pennsylvania. Erie, 199 00:12:43,600 --> 00:12:48,280 Speaker 1: Pennsylvania is a post industrial city who has not gained 200 00:12:48,280 --> 00:12:53,600 Speaker 1: population in tense the seventies, and when for Donald Trump 201 00:12:53,760 --> 00:12:58,040 Speaker 1: for the first time a Republican in decades and went 202 00:12:58,120 --> 00:13:02,920 Speaker 1: back to Biden in twenty oney barely and it went 203 00:13:03,080 --> 00:13:07,160 Speaker 1: it voted for a county executive, a Republican county executive 204 00:13:07,440 --> 00:13:12,120 Speaker 1: one who ran on, you know, drawing businesses into the 205 00:13:12,160 --> 00:13:16,760 Speaker 1: county as opposed to the Democrats who ran on transgender 206 00:13:16,800 --> 00:13:20,800 Speaker 1: issues and cultural issues and had dimmed the school board president. 207 00:13:21,240 --> 00:13:25,160 Speaker 1: And I think that that sort of shows that this 208 00:13:25,400 --> 00:13:31,000 Speaker 1: Midwest is still holding onto its conservative routs. Just because 209 00:13:31,400 --> 00:13:34,800 Speaker 1: Trump lost the presidency does not mean it has not 210 00:13:34,920 --> 00:13:37,520 Speaker 1: continued to go red. And you saw it in Michigan 211 00:13:37,760 --> 00:13:43,400 Speaker 1: and Wisconsin, in Ohio as well. Selena, fantastic as always, 212 00:13:44,679 --> 00:13:47,640 Speaker 1: and we'll talk to you again soon. That'd be great 213 00:13:47,679 --> 00:13:50,080 Speaker 1: if people could go to my website, sweena zero dot 214 00:13:50,160 --> 00:13:52,400 Speaker 1: com and sign up for emails. They're free, they're fund 215 00:13:52,400 --> 00:13:56,000 Speaker 1: they're not battening, and they can follow my story. 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Remember you can get the discount now and 244 00:15:27,200 --> 00:15:29,240 Speaker 1: then gather all your stuff and send it in the 245 00:15:29,280 --> 00:15:32,080 Speaker 1: box when you're ready. But get that discount now so 246 00:15:32,120 --> 00:15:36,520 Speaker 1: you get the best possible deal. Legacybox dot com slash 247 00:15:36,560 --> 00:15:41,160 Speaker 1: Buck Again, that website is legacybox dot com slash Buck. 248 00:15:47,040 --> 00:15:50,120 Speaker 1: Welcome back in play Travis Buck Sexton Show. Appreciate all 249 00:15:50,120 --> 00:15:52,160 Speaker 1: of you hanging out with us. We power through the 250 00:15:52,280 --> 00:15:55,360 Speaker 1: Friday edition of the program. I hope you've been listening 251 00:15:55,440 --> 00:15:57,680 Speaker 1: all week. But if you've missed any of our shows 252 00:15:58,040 --> 00:15:59,680 Speaker 1: and you might want to catch up with them, you 253 00:15:59,720 --> 00:16:02,040 Speaker 1: can go We got a best of up as well. 254 00:16:02,480 --> 00:16:06,240 Speaker 1: You can go search out Clay Travis Buck Sexton iTunes, Stitcher, 255 00:16:06,360 --> 00:16:09,760 Speaker 1: Google Play. Also, want to keep reminding you. Maybe you're 256 00:16:09,760 --> 00:16:12,320 Speaker 1: traveling around, maybe you're sitting in an office you don't 257 00:16:12,360 --> 00:16:15,160 Speaker 1: have great reception. We love all of our radio affiliates 258 00:16:15,160 --> 00:16:18,080 Speaker 1: out there, hundreds and hundreds of them in all fifty states. 259 00:16:18,480 --> 00:16:21,400 Speaker 1: But you can stream the show at Clay and Buck 260 00:16:21,560 --> 00:16:23,400 Speaker 1: dot com. You can pull it up on your phone, 261 00:16:23,400 --> 00:16:25,360 Speaker 1: you can pull it up on your desktop. Just click 262 00:16:25,480 --> 00:16:30,280 Speaker 1: play Boom, there you go. No difficulties at all. I'm 263 00:16:30,320 --> 00:16:33,680 Speaker 1: headed up to Knoxville this weekend for the Georgia Tennessee 264 00:16:33,680 --> 00:16:36,560 Speaker 1: game will be airing on CBS at three thirty Eastern, 265 00:16:36,560 --> 00:16:39,720 Speaker 1: and I would wager every dollar I have that there 266 00:16:39,720 --> 00:16:43,280 Speaker 1: will be some let's go Brandon chants that are raining down, 267 00:16:43,680 --> 00:16:47,920 Speaker 1: either in the tailgates scene, maybe inside of the stadium. 268 00:16:47,960 --> 00:16:50,920 Speaker 1: It has swept the Let's go Brandon chant has the 269 00:16:51,120 --> 00:16:54,120 Speaker 1: entire nation. Remember initially the White House tried to say, oh, 270 00:16:54,160 --> 00:16:57,320 Speaker 1: what is this some qann thing? We can't even keep 271 00:16:57,440 --> 00:17:01,080 Speaker 1: up with all these chants. Well, Jinsock now acknowledging that 272 00:17:01,160 --> 00:17:03,280 Speaker 1: she knows what the chan is, and she's asked whether 273 00:17:03,320 --> 00:17:05,760 Speaker 1: Biden is bothered by it. This just happened. I don't 274 00:17:05,800 --> 00:17:08,120 Speaker 1: think he spends much time focused on it or thinking 275 00:17:08,160 --> 00:17:10,200 Speaker 1: about it. The President said when he came into office 276 00:17:10,200 --> 00:17:11,800 Speaker 1: on an auguration day, he said he was going to 277 00:17:11,880 --> 00:17:15,600 Speaker 1: help get rid of the uncivil war in this country. 278 00:17:15,680 --> 00:17:17,639 Speaker 1: So I guess through that lens right now, does the 279 00:17:17,640 --> 00:17:19,840 Speaker 1: president think the things that he can do differently or 280 00:17:19,840 --> 00:17:21,560 Speaker 1: how does he react to the stuff he sees out 281 00:17:21,600 --> 00:17:24,080 Speaker 1: there when it is one of his primary promises or 282 00:17:24,080 --> 00:17:26,840 Speaker 1: desires to help bring Americans together. Well, it takes two 283 00:17:26,880 --> 00:17:29,879 Speaker 1: to move towards a more civil engagement discourse in this country, 284 00:17:29,880 --> 00:17:33,320 Speaker 1: and the President's going to continue to operate as you said, 285 00:17:33,680 --> 00:17:35,960 Speaker 1: from the promise he made early on, which is that 286 00:17:36,000 --> 00:17:38,439 Speaker 1: he wants to govern for all Americans. He's going to 287 00:17:38,480 --> 00:17:41,480 Speaker 1: deliver for all Americans, as is evidenced by the infrastructure 288 00:17:41,480 --> 00:17:44,760 Speaker 1: bill that he's going to sign on Monday. That's going 289 00:17:44,800 --> 00:17:48,199 Speaker 1: to help expand broadcast broadband to everyone, no matter your 290 00:17:48,200 --> 00:17:50,480 Speaker 1: political party, no matter whether you voted for firm or not. 291 00:17:50,680 --> 00:17:53,919 Speaker 1: That's going to replace lead pipes, make sure kids have 292 00:17:53,960 --> 00:17:56,359 Speaker 1: clean drinking water, whether you're a Democrat or Republican or 293 00:17:56,600 --> 00:18:00,400 Speaker 1: not political at all. That's how he's going to govern. Well. 294 00:18:00,480 --> 00:18:02,960 Speaker 1: Good for Jen Saki by the way, Glad that she 295 00:18:03,080 --> 00:18:06,879 Speaker 1: came back from COVID post double vaccine, no issues at all. 296 00:18:06,920 --> 00:18:09,639 Speaker 1: It's amazing how that works. Tunnel to towers, making the 297 00:18:09,680 --> 00:18:12,800 Speaker 1: holidays brighter for our nation's gold star and falling first 298 00:18:12,800 --> 00:18:16,840 Speaker 1: responder families with young kids and catastrophically injured veterans and 299 00:18:16,960 --> 00:18:20,239 Speaker 1: first responders. For many of these families, the holidays are 300 00:18:20,240 --> 00:18:22,880 Speaker 1: a tough reminder of the sacrifice their hero made for us. 301 00:18:22,920 --> 00:18:25,160 Speaker 1: That's why they're giving away a home a day from 302 00:18:25,160 --> 00:18:29,000 Speaker 1: Thanksgiving through New Year's Eve. Pat is phenomenal how can 303 00:18:29,040 --> 00:18:31,760 Speaker 1: you help You heard us interviewing people at Tunnel to 304 00:18:31,840 --> 00:18:35,400 Speaker 1: Towers yesterday. Your generosity, you guys are given over five 305 00:18:35,520 --> 00:18:38,640 Speaker 1: million dollars to help support America's greatest heroes. You can 306 00:18:38,680 --> 00:18:42,199 Speaker 1: donate eleven dollars a month Tunnel to Towers at T 307 00:18:42,200 --> 00:18:45,760 Speaker 1: two t dot org. Just eleven dollars a month. Think 308 00:18:45,800 --> 00:18:48,600 Speaker 1: about it, the difference you can make. That's T the 309 00:18:48,760 --> 00:18:52,760 Speaker 1: number two t dot org. Sign up today, t the 310 00:18:52,840 --> 00:18:59,639 Speaker 1: number two t dot org. Thanks for rolling along with 311 00:18:59,720 --> 00:19:02,320 Speaker 1: us here today on the Clay and Buck Show. Great 312 00:19:02,359 --> 00:19:05,520 Speaker 1: to have you listening all across the country. Remember if 313 00:19:05,520 --> 00:19:07,840 Speaker 1: you haven't check us out on podcast. Wherever you listen 314 00:19:07,880 --> 00:19:10,320 Speaker 1: to your podcasts that clicks have us ends Buck Sexton Show, 315 00:19:10,880 --> 00:19:15,280 Speaker 1: please subscribe. If you're on the iTunes store, Apple Podcast, 316 00:19:15,800 --> 00:19:17,760 Speaker 1: give us five stars. Give us a review. That always 317 00:19:17,760 --> 00:19:22,400 Speaker 1: helps too. And we have just in preparation here for 318 00:19:22,480 --> 00:19:27,359 Speaker 1: the verdict in the Kyle Rittenhouse trial. Some people are 319 00:19:27,400 --> 00:19:32,080 Speaker 1: already getting getting ready for the possibility that things could 320 00:19:32,119 --> 00:19:35,239 Speaker 1: be well, let's just say a bit tense. You have 321 00:19:35,359 --> 00:19:39,240 Speaker 1: Governor Tony Evers of Wisconsin mobilizing five hundred National Guard. 322 00:19:40,640 --> 00:19:42,920 Speaker 1: It looks like he's mobile. Yeah, five hundred National Guard 323 00:19:43,040 --> 00:19:47,639 Speaker 1: troops and so we're looking to see if that actually 324 00:19:47,680 --> 00:19:50,480 Speaker 1: turns into a problem or not. We could have a 325 00:19:50,560 --> 00:19:54,920 Speaker 1: verdict on well, Monday, Tuesday, someday next week. We'll see 326 00:19:54,920 --> 00:19:58,440 Speaker 1: what ends up happening there. We also think Kyle Rittenhouse 327 00:19:58,520 --> 00:20:00,800 Speaker 1: might take his gun out if he he's not guilty 328 00:20:01,240 --> 00:20:04,600 Speaker 1: and helped to patrol the streets of Kenosha again. Can 329 00:20:04,640 --> 00:20:06,919 Speaker 1: you imagine the irony in that if he got a 330 00:20:06,960 --> 00:20:09,879 Speaker 1: not guilty verdict they called out the National Guard and 331 00:20:09,960 --> 00:20:12,399 Speaker 1: he helped to patrol the streets of Kenosha again. Can 332 00:20:12,440 --> 00:20:15,160 Speaker 1: you imagine the Libs losing their mind over that video? 333 00:20:15,240 --> 00:20:17,720 Speaker 1: They would definitely lose their minds. And I think that 334 00:20:18,080 --> 00:20:21,200 Speaker 1: Kyle if well, let's just wait, let's wait and see. 335 00:20:21,400 --> 00:20:24,359 Speaker 1: You know, you never know where the jury and you know, 336 00:20:24,400 --> 00:20:26,200 Speaker 1: they could feel a lot of pressure. There have been 337 00:20:26,240 --> 00:20:29,840 Speaker 1: people concerned about jury intimidation all alone that here. So 338 00:20:30,000 --> 00:20:32,720 Speaker 1: we'll see. But they're they've called out five hundred National 339 00:20:32,800 --> 00:20:36,640 Speaker 1: Guards or I should say readied the deployment of five 340 00:20:36,720 --> 00:20:39,919 Speaker 1: hundred National Guard troops because we all know right that 341 00:20:39,920 --> 00:20:44,560 Speaker 1: that if Kyle Rittenhouse is found guilty, God forbid, there 342 00:20:44,560 --> 00:20:47,520 Speaker 1: won't be riots. We all know, it's only if Kyle 343 00:20:47,560 --> 00:20:51,639 Speaker 1: Rittenhouse is found not guilty. The left will riot, and 344 00:20:51,680 --> 00:20:54,160 Speaker 1: they'll think that Biden voters will riot because they think 345 00:20:54,200 --> 00:20:59,000 Speaker 1: that they're justified in doing so. Um. There's also the 346 00:20:59,000 --> 00:21:03,240 Speaker 1: reality of anistration that lives in the unreality of economics. 347 00:21:03,680 --> 00:21:07,640 Speaker 1: They don't really understand or care to understand what's happening 348 00:21:08,080 --> 00:21:12,000 Speaker 1: with inflation. And also as a result of these COVID 349 00:21:12,040 --> 00:21:14,480 Speaker 1: mandates they have in place about things like shots. Here's 350 00:21:14,560 --> 00:21:17,399 Speaker 1: Jen Saki when asked, Hey, you know it might not 351 00:21:17,440 --> 00:21:20,520 Speaker 1: be great considering what we're facing here when you start 352 00:21:20,640 --> 00:21:24,159 Speaker 1: enforcing the federal vaccine mandate. That could actually hurt and 353 00:21:24,200 --> 00:21:28,240 Speaker 1: already struggling economy in some way. Thanks, Jenn. I wanted 354 00:21:28,240 --> 00:21:30,520 Speaker 1: to ask about the numbers that came out this morning 355 00:21:30,560 --> 00:21:33,640 Speaker 1: about the record number of people putting their jobs in September. 356 00:21:34,040 --> 00:21:36,080 Speaker 1: Is there a concern that this number might go even 357 00:21:36,200 --> 00:21:38,720 Speaker 1: higher when the vaccine mandate goes into place, And what 358 00:21:38,880 --> 00:21:41,639 Speaker 1: is the administration doing to health companies who are concerned 359 00:21:41,640 --> 00:21:45,720 Speaker 1: about retaining workers once the mandate takes in. You're talking 360 00:21:45,760 --> 00:21:49,240 Speaker 1: about because of the vaccine mandate being implemented, and is 361 00:21:49,240 --> 00:21:51,320 Speaker 1: its specific companies. I just haven't seen this, datus, So 362 00:21:51,359 --> 00:21:53,800 Speaker 1: give me a little bit more information. Yeah, She's like, 363 00:21:54,480 --> 00:21:56,720 Speaker 1: what do you mean? I understand. Yeah, there are a 364 00:21:56,760 --> 00:21:58,560 Speaker 1: lot of people that have left their jobs. People have 365 00:21:58,680 --> 00:22:01,440 Speaker 1: lost their jobs and more or could be coming here 366 00:22:01,560 --> 00:22:06,200 Speaker 1: soon in large numbers because of the vaccine mandate. And 367 00:22:06,280 --> 00:22:08,520 Speaker 1: this is now for a vaccine that we all understand 368 00:22:09,080 --> 00:22:12,840 Speaker 1: is temporary. You're now it is a temporary vaccine and 369 00:22:12,960 --> 00:22:16,240 Speaker 1: you are mandated to get it or be endlessly harassed 370 00:22:16,520 --> 00:22:19,359 Speaker 1: and fined by the federal government. And Jensaki in the 371 00:22:19,400 --> 00:22:20,840 Speaker 1: White House are like, wait, what do you mean that 372 00:22:20,840 --> 00:22:23,720 Speaker 1: could be bad for the economy. This is just more 373 00:22:23,760 --> 00:22:26,000 Speaker 1: and more indication, bucket, And I think you probably agree 374 00:22:26,040 --> 00:22:27,320 Speaker 1: with me on this. And I know a lot of 375 00:22:27,359 --> 00:22:32,480 Speaker 1: people listening to us. Do conservatives know way more what 376 00:22:32,640 --> 00:22:36,960 Speaker 1: liberals think than liberals know what conservatives? Oh, the data 377 00:22:37,000 --> 00:22:41,240 Speaker 1: actually proves that one hundred right. And so it's amazing 378 00:22:41,280 --> 00:22:44,840 Speaker 1: to me that you could be the press secretary for 379 00:22:44,880 --> 00:22:48,959 Speaker 1: the leader of the free world and feigned stupidity on 380 00:22:49,040 --> 00:22:53,280 Speaker 1: the idea which is certainly prevalent out there, that millions 381 00:22:53,320 --> 00:22:56,680 Speaker 1: of people may leave their jobs over the vaccine mandate. 382 00:22:57,000 --> 00:23:00,000 Speaker 1: Now you can say you think those numbers are exaggerated 383 00:23:00,000 --> 00:23:03,800 Speaker 1: and use arguments against it. But to pretend that this 384 00:23:03,880 --> 00:23:08,040 Speaker 1: is not potentially a major issue that hasn't been widely 385 00:23:08,160 --> 00:23:12,719 Speaker 1: discussed across a variety of different jobs for months is 386 00:23:12,840 --> 00:23:19,000 Speaker 1: a level of inauthenticity and lying that frankly should discussed 387 00:23:19,119 --> 00:23:22,240 Speaker 1: everyone because what she's trying to do is that's a 388 00:23:22,240 --> 00:23:24,760 Speaker 1: good question. That's the kind of question that somebody in 389 00:23:24,800 --> 00:23:26,960 Speaker 1: the White House Press Corps who is aware of what's 390 00:23:27,000 --> 00:23:31,040 Speaker 1: going on in the larger society should ask. And for Jensaki, 391 00:23:31,080 --> 00:23:34,160 Speaker 1: who play dumb as if she's not cognizant of this 392 00:23:34,240 --> 00:23:37,840 Speaker 1: issue at all, is just a further evidence of how 393 00:23:37,840 --> 00:23:42,560 Speaker 1: the Biden administration doesn't believe Americans can be spoken to. Honestly, 394 00:23:42,880 --> 00:23:45,679 Speaker 1: you also have to think that there will be the 395 00:23:45,840 --> 00:23:50,880 Speaker 1: continued implementation of this mandate going forward as well. What 396 00:23:51,040 --> 00:23:54,600 Speaker 1: is the rationalization here? What would be the argument for 397 00:23:54,640 --> 00:23:57,239 Speaker 1: this to be? You get the shot they're making, you 398 00:23:57,280 --> 00:23:59,040 Speaker 1: get the shot if you have one hundred or more employees. 399 00:23:59,040 --> 00:24:01,040 Speaker 1: They're also going to expand this to less than one hundred. 400 00:24:01,040 --> 00:24:03,800 Speaker 1: They're they're just doing that. Yeah, they're doing a divide 401 00:24:03,800 --> 00:24:08,280 Speaker 1: and conquer strategy here for people's individual freedoms, But what 402 00:24:08,440 --> 00:24:11,640 Speaker 1: makes anyone think that they won't then, say, when we're 403 00:24:11,640 --> 00:24:15,200 Speaker 1: coming up into the major respiratory virus, you know season 404 00:24:15,320 --> 00:24:19,320 Speaker 1: next year, in the fall, the fall of twenty twenty two, 405 00:24:19,600 --> 00:24:22,679 Speaker 1: there won't be another okay to be in compliance with 406 00:24:22,720 --> 00:24:26,160 Speaker 1: the new ocean mandate, you've got to get another round 407 00:24:26,200 --> 00:24:29,520 Speaker 1: of shots. And you know, I put this on a 408 00:24:29,520 --> 00:24:31,960 Speaker 1: surprise Twitter actually didn't block this. How long is it 409 00:24:32,000 --> 00:24:34,480 Speaker 1: before you're just not even allowed to talk about myocarditis 410 00:24:34,840 --> 00:24:38,000 Speaker 1: which is a real risk of some of these shots 411 00:24:38,000 --> 00:24:40,840 Speaker 1: that people end up running. How long before you're not 412 00:24:40,880 --> 00:24:43,359 Speaker 1: allowed to talk about it? Because if you're gonna do 413 00:24:43,400 --> 00:24:46,280 Speaker 1: the shot once, there's a certain risk percentage and profile 414 00:24:46,320 --> 00:24:47,879 Speaker 1: with it. If you're gonna be forced to do it 415 00:24:47,960 --> 00:24:51,840 Speaker 1: every year, that change is pretty dramatically buck. I'm already 416 00:24:51,840 --> 00:24:54,480 Speaker 1: sitting here wondering how many shots am I going to 417 00:24:54,560 --> 00:24:58,119 Speaker 1: be behind on? Right because I haven't gotten the vaccine yet, 418 00:24:58,400 --> 00:25:01,359 Speaker 1: so right now I'm behind on two. Now I'm gonna 419 00:25:01,359 --> 00:25:03,920 Speaker 1: be behind on the boost on the booster, like we're 420 00:25:03,960 --> 00:25:05,760 Speaker 1: talking about, by the time it gets to five or 421 00:25:05,800 --> 00:25:08,199 Speaker 1: six shots that everybody has to get, I'm gonna be 422 00:25:08,240 --> 00:25:11,280 Speaker 1: like three years behind on how long it would even 423 00:25:11,320 --> 00:25:13,719 Speaker 1: take me where I need to be, because if they 424 00:25:13,720 --> 00:25:16,919 Speaker 1: do eventually make you get it, at least theoretically, that 425 00:25:16,960 --> 00:25:19,679 Speaker 1: would be the shot most useful for that period. Just 426 00:25:19,720 --> 00:25:22,040 Speaker 1: like the flu. By the way, this is we already have. 427 00:25:22,280 --> 00:25:25,040 Speaker 1: We have something that's a very analogous to this. We 428 00:25:25,080 --> 00:25:27,119 Speaker 1: have something that that sets us up to understand what 429 00:25:27,160 --> 00:25:30,720 Speaker 1: the expectations should be. They even tried it to guess 430 00:25:31,080 --> 00:25:32,719 Speaker 1: what the flu strain is going to be in advance. 431 00:25:32,800 --> 00:25:36,639 Speaker 1: It creates wrong by the way, Yeah, they're often wrong, 432 00:25:37,160 --> 00:25:39,520 Speaker 1: but that's what they end up having to do. And 433 00:25:39,600 --> 00:25:41,800 Speaker 1: so that's where we'll probably be at some point in 434 00:25:42,080 --> 00:25:45,439 Speaker 1: the future. And I just I worry that the the 435 00:25:45,560 --> 00:25:49,480 Speaker 1: Democrats are so dug in on this that even no 436 00:25:49,520 --> 00:25:53,440 Speaker 1: matter how crazy and absurd this gets, and no matter 437 00:25:53,480 --> 00:25:56,120 Speaker 1: how much it's clear to everybody they're wrong, they're still 438 00:25:56,160 --> 00:25:59,800 Speaker 1: going to say better to be wrong and miserable than 439 00:26:00,480 --> 00:26:02,800 Speaker 1: except that Clay Buck and the rest of them were right. 440 00:26:02,920 --> 00:26:06,160 Speaker 1: You know, I think the stubbornness might override everything else. 441 00:26:06,920 --> 00:26:08,760 Speaker 1: I was got a good point. You know, I've been 442 00:26:08,800 --> 00:26:11,760 Speaker 1: on college campuses all fall, and I was having a 443 00:26:11,760 --> 00:26:16,400 Speaker 1: conversation with a college kid who was twenty and he 444 00:26:16,480 --> 00:26:18,840 Speaker 1: was saying, hey, you know, me and a bunch of buddies, 445 00:26:18,840 --> 00:26:21,720 Speaker 1: we have fake IDs to get into the bar, right, 446 00:26:22,760 --> 00:26:26,040 Speaker 1: And he was saying that some of the schools now 447 00:26:26,560 --> 00:26:31,480 Speaker 1: are requiring vaccines and so their proof of vaccine, which 448 00:26:31,600 --> 00:26:34,719 Speaker 1: some of the bigger cities are requiring. Now for some 449 00:26:34,760 --> 00:26:37,879 Speaker 1: of their friends, they have to get fake vaccine cards 450 00:26:37,880 --> 00:26:40,320 Speaker 1: to make their match their fake IDs to be able 451 00:26:40,359 --> 00:26:41,960 Speaker 1: to get in and get a beer inside of a bar. 452 00:26:42,040 --> 00:26:44,680 Speaker 1: Which is kind of funny to think about, right, because 453 00:26:44,960 --> 00:26:46,680 Speaker 1: for most of us out there who have ever been 454 00:26:46,720 --> 00:26:49,400 Speaker 1: in college, you know that when you're nineteen or twenty 455 00:26:49,480 --> 00:26:52,160 Speaker 1: years old, it's not uncommon that you have a fake 456 00:26:52,200 --> 00:26:54,840 Speaker 1: ID in order to get into a bar. And now 457 00:26:54,880 --> 00:26:58,480 Speaker 1: you have to match. You might have a real vaccine card, 458 00:26:58,840 --> 00:27:01,400 Speaker 1: but it says you're a and it doesn't match your 459 00:27:01,400 --> 00:27:04,080 Speaker 1: fake ID, and so they're having to mix and mat 460 00:27:04,160 --> 00:27:06,480 Speaker 1: which is actually really funny and ridiculous to think about. 461 00:27:06,680 --> 00:27:09,080 Speaker 1: But these college kids who are under no risk from 462 00:27:09,119 --> 00:27:12,240 Speaker 1: COVID have got like an entire, you know, collage of 463 00:27:12,359 --> 00:27:14,359 Speaker 1: different fake IDs to be able to go get a 464 00:27:14,359 --> 00:27:17,200 Speaker 1: beer at a bar. Some places it's white house, isn't 465 00:27:17,200 --> 00:27:20,399 Speaker 1: gonna make things better anytime soon. But we're on at folks. 466 00:27:20,440 --> 00:27:23,240 Speaker 1: Don't worry. The truth will still be here for you 467 00:27:23,920 --> 00:27:25,520 Speaker 1: no matter what they do to us on Twitter and 468 00:27:25,520 --> 00:27:28,480 Speaker 1: Facebook and other places. With all that's happening at home 469 00:27:28,480 --> 00:27:30,320 Speaker 1: and in the world, now is as good a time 470 00:27:30,359 --> 00:27:33,400 Speaker 1: as any to take control of things at home. That's 471 00:27:33,400 --> 00:27:35,760 Speaker 1: your family and your pets too for that matter. We 472 00:27:35,840 --> 00:27:38,040 Speaker 1: love our dogs and cats. They're members of the family. 473 00:27:38,080 --> 00:27:40,360 Speaker 1: We want them happy and healthy, and we want them 474 00:27:40,359 --> 00:27:43,200 Speaker 1: around for a long time. That's why we promote healthy 475 00:27:43,240 --> 00:27:46,040 Speaker 1: food for our dogs, and not just the dry kibble 476 00:27:46,119 --> 00:27:48,439 Speaker 1: that's on the store shelves. And see, that's the problem 477 00:27:48,440 --> 00:27:51,920 Speaker 1: with most dog food. It's dead food. All dry dog 478 00:27:51,960 --> 00:27:54,480 Speaker 1: food has to sit in a warehouse shelf for years. 479 00:27:54,800 --> 00:27:59,760 Speaker 1: To accomplish this, they have dog dog food kibble manufacturers 480 00:27:59,800 --> 00:28:03,399 Speaker 1: using a sterilization process that kills anything that might actually 481 00:28:03,440 --> 00:28:05,600 Speaker 1: be alive in your pets food. And we mean good 482 00:28:05,680 --> 00:28:11,040 Speaker 1: alive stuff. Microbacteria, probiotics, enzymes, vitamins, things that your dog 483 00:28:11,160 --> 00:28:13,400 Speaker 1: needs just like you need them in your food. Right. 484 00:28:14,160 --> 00:28:17,400 Speaker 1: That's why Rough Greens is so helpful and so necessary. 485 00:28:17,480 --> 00:28:19,960 Speaker 1: It's not a dog food, it's a healthy supplement you 486 00:28:20,000 --> 00:28:23,160 Speaker 1: put into your dog's food with all the live nutrients 487 00:28:23,240 --> 00:28:25,879 Speaker 1: necessary for superior dogs health. So you just add this in, 488 00:28:25,960 --> 00:28:28,440 Speaker 1: you sprinkle it in. The folks at rough Greens are 489 00:28:28,520 --> 00:28:31,080 Speaker 1: so confident your dog is gonna love it. They've got 490 00:28:31,080 --> 00:28:33,320 Speaker 1: this great deal for listeners of this show. You just 491 00:28:33,359 --> 00:28:38,000 Speaker 1: got to Roughgreens dot com slash eib. That's ruff Roughgreens 492 00:28:38,080 --> 00:28:40,960 Speaker 1: dot com slash eib, and they're gonna give you the 493 00:28:41,000 --> 00:28:45,160 Speaker 1: first bag free. All you pay is shipping Roughgreens dot 494 00:28:45,160 --> 00:28:55,240 Speaker 1: com slash eib. Coming into the last leg here of 495 00:28:55,280 --> 00:28:58,480 Speaker 1: the Clay and Buck Show on this Friday. Thanks for 496 00:28:58,560 --> 00:29:01,600 Speaker 1: beating here with us. A couple of calls in a second, 497 00:29:01,600 --> 00:29:04,920 Speaker 1: you know, play of all the rejoined music that we 498 00:29:05,000 --> 00:29:07,080 Speaker 1: have on this show, because I'm going I'm going to 499 00:29:07,160 --> 00:29:10,240 Speaker 1: see Dave Matthews with some friends tonight. Of all the 500 00:29:10,320 --> 00:29:12,480 Speaker 1: rejoin music we have on the show, what is your 501 00:29:12,520 --> 00:29:15,880 Speaker 1: favorite one? You know we have these little these quick 502 00:29:16,160 --> 00:29:20,680 Speaker 1: snippets we come back to. Um. That's a great question. 503 00:29:20,920 --> 00:29:25,240 Speaker 1: I think it's probably anything. I hate to pick one. 504 00:29:25,280 --> 00:29:28,560 Speaker 1: I like a lot of the nineties era music, and 505 00:29:28,640 --> 00:29:31,000 Speaker 1: a lot of times we go with eighties era music, 506 00:29:31,000 --> 00:29:34,280 Speaker 1: which I'm not as big of a fan of um so. 507 00:29:34,680 --> 00:29:36,400 Speaker 1: I think we've got some red hot chili peppers we 508 00:29:36,440 --> 00:29:39,160 Speaker 1: come back. I like that. Here's the real question for you, boy, 509 00:29:39,400 --> 00:29:41,760 Speaker 1: can I go? I go Tears for Fears? I actually 510 00:29:41,800 --> 00:29:44,440 Speaker 1: go for the eighties? Oh you like that more? I 511 00:29:44,480 --> 00:29:47,160 Speaker 1: like the Tears for Fears come Yeah, that's what Dave 512 00:29:47,240 --> 00:29:50,840 Speaker 1: Matthews song are you most likely to sing along with 513 00:29:51,000 --> 00:29:53,360 Speaker 1: at Tonight's concert in New York City? I mean all 514 00:29:53,400 --> 00:29:56,680 Speaker 1: of them. I celebrate Dave's entire catalog. Obviously we grew up. 515 00:29:56,720 --> 00:29:59,040 Speaker 1: We grew up with Dave Matthews. Man. I know, I know, 516 00:29:59,120 --> 00:30:01,320 Speaker 1: I've been to Dave on SERTs before too, but I 517 00:30:01,360 --> 00:30:03,800 Speaker 1: feel like Crash is probably the song that's gonna get 518 00:30:03,800 --> 00:30:06,160 Speaker 1: you the most. I feel like I'm just trying to 519 00:30:06,160 --> 00:30:10,000 Speaker 1: think about which one your most enthusiastically. If you're a 520 00:30:10,040 --> 00:30:14,440 Speaker 1: sensitive soul, you can also do Satlite yeah light. I mean, 521 00:30:14,960 --> 00:30:17,480 Speaker 1: I'm just I'm trying to picture you inside of Madison 522 00:30:17,480 --> 00:30:20,120 Speaker 1: Square Garden when the music is going to move you 523 00:30:20,240 --> 00:30:24,200 Speaker 1: the most, Like where you're going, I think it's hard 524 00:30:24,240 --> 00:30:26,280 Speaker 1: not to go along with. I think you're gonna reach 525 00:30:26,320 --> 00:30:29,600 Speaker 1: your highest crescendo of sing along during Crash. It would 526 00:30:29,640 --> 00:30:32,440 Speaker 1: be my first possible. I will say that Under the 527 00:30:32,480 --> 00:30:35,160 Speaker 1: Table and Dreaming was one of the first CDs that 528 00:30:35,240 --> 00:30:37,880 Speaker 1: I ever bought. I remember that I had my boom box. 529 00:30:37,960 --> 00:30:41,240 Speaker 1: Remember we all had boomboxes. I had a CD player boombox, 530 00:30:41,600 --> 00:30:43,320 Speaker 1: and I was listening to Under the Table and Dreaming 531 00:30:43,320 --> 00:30:45,200 Speaker 1: a lot. I actually had some walk Chili peppers I 532 00:30:45,200 --> 00:30:47,880 Speaker 1: bought too. Back in then. The Walkman has come back 533 00:30:47,920 --> 00:30:51,000 Speaker 1: in popularity. If you noticed, like every my kids are upset. 534 00:30:51,040 --> 00:30:53,360 Speaker 1: They they think the nineteen eighties is the greatest generation 535 00:30:53,400 --> 00:30:55,680 Speaker 1: of all time because I watched the eighties movies with them, 536 00:30:55,680 --> 00:30:57,520 Speaker 1: which is one of the great things about being a pagers. 537 00:30:57,600 --> 00:31:00,320 Speaker 1: Movies are amazing, oh so good. The Back to the Future, 538 00:31:00,400 --> 00:31:05,200 Speaker 1: the Goonies, the Indiana Jones movies. They're all so incredible 539 00:31:05,600 --> 00:31:09,920 Speaker 1: that it's interesting to see their friends. They're all they're 540 00:31:10,000 --> 00:31:12,160 Speaker 1: all like very much like some of the clothes that 541 00:31:12,200 --> 00:31:14,600 Speaker 1: they wear. They're they're all in on the eighties because 542 00:31:14,600 --> 00:31:16,600 Speaker 1: mom and Dad watch the movies with them, and they're like, 543 00:31:16,640 --> 00:31:18,840 Speaker 1: the eighties is the greatest generation of American history in 544 00:31:18,880 --> 00:31:22,600 Speaker 1: their mind. Ghostbusters, the Ghostbusters we go we go on 545 00:31:22,600 --> 00:31:24,040 Speaker 1: on all the time. A lot of movies made the 546 00:31:24,120 --> 00:31:26,120 Speaker 1: last five or ten years that nobody's going to remember 547 00:31:26,160 --> 00:31:28,440 Speaker 1: in five or ten years. But back in the eighties 548 00:31:28,480 --> 00:31:31,480 Speaker 1: and the nineties, there's some great stuff. I want to 549 00:31:31,520 --> 00:31:33,560 Speaker 1: hear from Jason in Mississippi for a second year. He's 550 00:31:33,560 --> 00:31:35,400 Speaker 1: got something interesting to tell us. What's going on, Jason? 551 00:31:36,600 --> 00:31:39,800 Speaker 1: I just wanted to comment on, you know, the millions 552 00:31:39,800 --> 00:31:44,680 Speaker 1: of people leaving their jobs when that actual vaccine mandate hits. 553 00:31:45,160 --> 00:31:49,680 Speaker 1: I worked for a very very large power company. I'm 554 00:31:49,680 --> 00:31:53,600 Speaker 1: worse in the oil and gas industry, and there's thousands 555 00:31:53,760 --> 00:31:58,360 Speaker 1: of us that are talking about yacking out. And you 556 00:31:58,360 --> 00:32:01,680 Speaker 1: know guess what happens when that happens. There is no power, 557 00:32:01,880 --> 00:32:06,560 Speaker 1: nobody to run the plant. Amen, Look, thank you for 558 00:32:06,560 --> 00:32:10,160 Speaker 1: the call. I don't think we're talking enough buck. We 559 00:32:10,240 --> 00:32:14,160 Speaker 1: already have insane supply issues all over this country. I 560 00:32:14,200 --> 00:32:17,080 Speaker 1: don't think we're discussing enough buck. What's going to happen 561 00:32:17,120 --> 00:32:20,520 Speaker 1: when more airline pilots are out, when more stewardesses or 562 00:32:20,520 --> 00:32:22,520 Speaker 1: flight attendants or whatever you're supposed to call them. Now, 563 00:32:22,560 --> 00:32:25,800 Speaker 1: are all of these energy workers, all of the truck 564 00:32:25,920 --> 00:32:29,160 Speaker 1: drivers all over the country that are moving goods around 565 00:32:29,480 --> 00:32:33,520 Speaker 1: January fourth is going to be. I think if we're 566 00:32:33,560 --> 00:32:39,640 Speaker 1: not careful, and apocalyptic day for the transportation industry and 567 00:32:39,720 --> 00:32:42,280 Speaker 1: for many people, including all of us who rely on 568 00:32:42,320 --> 00:32:45,040 Speaker 1: the transportation industry. If you're trying to think of a way, 569 00:32:45,040 --> 00:32:48,440 Speaker 1: if the Biden administration had gathered together a cabal in 570 00:32:48,520 --> 00:32:51,520 Speaker 1: the White House, in the Oval Office, Hey, how can 571 00:32:51,560 --> 00:32:55,240 Speaker 1: we have a policy that will make pretty much everything 572 00:32:55,280 --> 00:32:59,640 Speaker 1: that's a problem right now in the economy? Low workforce participation, 573 00:33:00,240 --> 00:33:02,800 Speaker 1: problems with getting people to actually show up for work, 574 00:33:02,880 --> 00:33:08,400 Speaker 1: supply chain issues, productivity issues, drop in GDP growth nationwide 575 00:33:08,440 --> 00:33:13,680 Speaker 1: last quarter? How could we make everything worse? This vaccine 576 00:33:13,800 --> 00:33:17,680 Speaker 1: mandate is a pretty good plan to make things worse. 577 00:33:17,720 --> 00:33:21,000 Speaker 1: I gotta say, it's almost impressive how much they're able 578 00:33:21,040 --> 00:33:23,840 Speaker 1: to mess things. I remember what Obama said about Joe Biden, 579 00:33:24,240 --> 00:33:28,520 Speaker 1: never underestimate his ability to bleep things up. He was right. 580 00:33:28,840 --> 00:33:32,120 Speaker 1: If Russia and China were trying to think of something 581 00:33:32,360 --> 00:33:36,760 Speaker 1: which could cripple the American economy, is there anything better 582 00:33:36,840 --> 00:33:40,520 Speaker 1: to cripple the American economy than mandating something that millions 583 00:33:40,560 --> 00:33:43,520 Speaker 1: of people don't want, which will guarantee that many of 584 00:33:43,560 --> 00:33:46,280 Speaker 1: those people will not be on the job at a 585 00:33:46,400 --> 00:33:50,280 Speaker 1: time of national crisis when it comes to supply chain 586 00:33:50,680 --> 00:33:55,440 Speaker 1: and also energy price disruption. I just I can't conceive 587 00:33:56,040 --> 00:34:01,960 Speaker 1: of how an intelligent person and intel leigent administration could 588 00:34:02,080 --> 00:34:04,880 Speaker 1: paint itself into this corner. Because, oh, by the way, 589 00:34:04,960 --> 00:34:09,080 Speaker 1: the significance here, Buck is vaccine mandates aren't going to 590 00:34:09,200 --> 00:34:12,360 Speaker 1: solve anything related to COVID. And I'm sure you saw this, Buck. 591 00:34:12,719 --> 00:34:17,080 Speaker 1: Goldman Sachs came out today or yesterday and said, Hey, 592 00:34:17,160 --> 00:34:21,200 Speaker 1: the biggest threat to the economy is not COVID. It's inflation, 593 00:34:21,400 --> 00:34:23,880 Speaker 1: and it's not going away, and it's continuing to grow. 594 00:34:24,320 --> 00:34:27,000 Speaker 1: And so the problem is also that the decisions that 595 00:34:27,040 --> 00:34:31,240 Speaker 1: the Biden White House and the federal government implementing, whoever's 596 00:34:31,239 --> 00:34:33,799 Speaker 1: actually making the calls around Biden, the problem that we 597 00:34:33,880 --> 00:34:38,480 Speaker 1: run into is that every time there are indicators of 598 00:34:38,520 --> 00:34:42,080 Speaker 1: the failure of the choices they're making, the fallback is 599 00:34:42,120 --> 00:34:44,840 Speaker 1: always COVID. The fallback is, oh, it's not that we 600 00:34:44,920 --> 00:34:47,560 Speaker 1: don't know what we're doing. It's not that the economy 601 00:34:47,600 --> 00:34:50,799 Speaker 1: is responding in the way that anybody would expect it 602 00:34:50,840 --> 00:34:53,200 Speaker 1: to from the trillions of dollars of spending, from the 603 00:34:53,239 --> 00:34:56,239 Speaker 1: additional regulation, from the threat of huge tax increases all 604 00:34:56,280 --> 00:34:59,040 Speaker 1: those things. It's not that it's COVID clay, don't you see, 605 00:34:59,080 --> 00:35:02,560 Speaker 1: So that actively no one's fault really, except we got 606 00:35:02,640 --> 00:35:04,960 Speaker 1: to do even more to fight the virus. That's the 607 00:35:05,120 --> 00:35:09,000 Speaker 1: built in excuse for all the failures. And the good news, though, 608 00:35:09,040 --> 00:35:10,799 Speaker 1: because I want to put people out on the weekend here, 609 00:35:10,840 --> 00:35:13,120 Speaker 1: send them out, you don't have. The good news is 610 00:35:13,160 --> 00:35:19,600 Speaker 1: that more and more folks every are persuadable, are realizing 611 00:35:19,840 --> 00:35:22,359 Speaker 1: it's time to hop aboard the clan buck train, so 612 00:35:22,400 --> 00:35:24,480 Speaker 1: to speak. Here that you know, the people listening to 613 00:35:24,520 --> 00:35:27,359 Speaker 1: this percent of them already know, but there are other 614 00:35:27,360 --> 00:35:29,200 Speaker 1: folks across a country who are going, Yeah, the guys 615 00:35:29,200 --> 00:35:31,160 Speaker 1: who are saying Biden's a buffoon and doesn't know what 616 00:35:31,200 --> 00:35:34,960 Speaker 1: he's doing, they might be onto something. And by the way, 617 00:35:34,960 --> 00:35:37,400 Speaker 1: if you're trying to win arguments as we move closer 618 00:35:37,400 --> 00:35:39,440 Speaker 1: to the holidays, just say, hey, listen to these guys. 619 00:35:39,800 --> 00:35:42,200 Speaker 1: If you are listening and you're saying, hey, I appreciate 620 00:35:42,239 --> 00:35:44,800 Speaker 1: the arguments that you guys are making, which are fact based, 621 00:35:44,840 --> 00:35:49,719 Speaker 1: pass them along. Let's grow the universe of rational, reasonable 622 00:35:49,719 --> 00:35:52,200 Speaker 1: people in this country and get it to a tipping 623 00:35:52,239 --> 00:35:54,879 Speaker 1: point where we start to dictate policy at an even 624 00:35:54,960 --> 00:35:58,760 Speaker 1: higher level. Hope to see everybody in Knoxville this weekend. 625 00:35:58,960 --> 00:36:01,320 Speaker 1: I'll have all three train Ravis boys with me, fingers 626 00:36:01,320 --> 00:36:03,200 Speaker 1: crossed that my wife's not right and that I can 627 00:36:03,239 --> 00:36:06,760 Speaker 1: actually manage and handle them for the entire weekend. Buck, 628 00:36:06,800 --> 00:36:08,600 Speaker 1: I can't wait to see a video of you singing 629 00:36:08,640 --> 00:36:11,840 Speaker 1: along to Crash inside of the Dave Matthews Band concert 630 00:36:11,920 --> 00:36:13,560 Speaker 1: as loud as you can. It's gonna be great. And 631 00:36:13,880 --> 00:36:16,319 Speaker 1: there's there's some Dave Matthews listeners of this audience. There's 632 00:36:16,360 --> 00:36:19,000 Speaker 1: somehow I've been I like Daves. Yeah, of course Dave's 633 00:36:19,080 --> 00:36:22,279 Speaker 1: Dave's politics not my thing, but you know, plays those 634 00:36:22,280 --> 00:36:24,920 Speaker 1: groovy tunes. Man, I'm gonna hear some saxophone. What happened 635 00:36:24,960 --> 00:36:28,160 Speaker 1: to the saxophone and the nineties? Everyone loved the saxophone. 636 00:36:28,200 --> 00:36:30,840 Speaker 1: Now you never hear it anywhere anymore. Bill Clinton was 637 00:36:30,880 --> 00:36:35,799 Speaker 1: a saxophone player. Arsene, We'll be back on Monday. Hope 638 00:36:35,800 --> 00:36:39,960 Speaker 1: you guys have fantastic weekends. Thanks for hanging with Crashing 639 00:36:40,040 --> 00:36:47,799 Speaker 1: into you on Monday. There we go. You're listening to 640 00:36:48,040 --> 00:36:51,920 Speaker 1: Clay Travis and Buck Sexton Fundy EIB Network