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 --> 00:00:06,800 Speaker 1: Sexton Show podcast. Welcome back into The Clay Travis and 3 00:00:06,960 --> 00:00:11,200 Speaker 1: Buck Sexton Show. Biden had kind of a kind of 4 00:00:11,240 --> 00:00:16,560 Speaker 1: a doozy of a moment yesterday. It's I don't know it. 5 00:00:16,680 --> 00:00:20,439 Speaker 1: At some point you feel like you're caught between is 6 00:00:20,480 --> 00:00:23,799 Speaker 1: it more that what is the bigger fraud? And I 7 00:00:23,840 --> 00:00:25,680 Speaker 1: think you could argue this in a lot of directions, 8 00:00:26,200 --> 00:00:29,000 Speaker 1: that Joe Biden is of sound mind as a function 9 00:00:29,040 --> 00:00:31,600 Speaker 1: of age and cognitive detereration to be the president. Is 10 00:00:31,640 --> 00:00:35,519 Speaker 1: that the bigger fraud? That Joe Biden is an honest 11 00:00:35,800 --> 00:00:40,000 Speaker 1: just you know, lives down the street, good guy, amtrak Joe. 12 00:00:40,440 --> 00:00:43,720 Speaker 1: It's actually kind of a jerk, or that Joe Biden 13 00:00:43,880 --> 00:00:48,199 Speaker 1: is smart enough, particularly on legal issues, as somebody who 14 00:00:48,320 --> 00:00:50,920 Speaker 1: was a lawyer and that a senator for forty years 15 00:00:52,240 --> 00:00:56,240 Speaker 1: to actually have something worthwhile to say on important matters 16 00:00:56,480 --> 00:01:00,440 Speaker 1: of law, constitutionality, jurisprudence, you name it. I don't know 17 00:01:00,440 --> 00:01:02,120 Speaker 1: which is the bigger fraud. You can argue that in 18 00:01:02,160 --> 00:01:04,800 Speaker 1: any of those realms. I think there's a there's been 19 00:01:04,840 --> 00:01:09,240 Speaker 1: a constant media campaign of dar I say disinformation Clay 20 00:01:09,280 --> 00:01:11,959 Speaker 1: to try to convince people that things are true about 21 00:01:12,040 --> 00:01:15,479 Speaker 1: Joe Biden that are just not. And this is one 22 00:01:15,480 --> 00:01:17,600 Speaker 1: of those moments where he put a whole bunch of 23 00:01:17,600 --> 00:01:21,080 Speaker 1: things in together. And maybe Clay can give us a 24 00:01:21,120 --> 00:01:25,319 Speaker 1: little bit of your legal analysis of Joe's legal analysis, 25 00:01:25,360 --> 00:01:27,959 Speaker 1: because I don't even think Joe knows what he was 26 00:01:27,959 --> 00:01:30,080 Speaker 1: trying to say on this one. Here is the president 27 00:01:30,520 --> 00:01:33,039 Speaker 1: on that Rov Wade league. Oh and by the way, 28 00:01:33,080 --> 00:01:37,360 Speaker 1: what he calls the MAGA crowd, the idea that somehow 29 00:01:37,720 --> 00:01:41,000 Speaker 1: that there is no right of privacy. What happens if 30 00:01:41,000 --> 00:01:45,360 Speaker 1: you have stage changed the law saying that children who 31 00:01:45,400 --> 00:01:49,680 Speaker 1: are LGBTQ campaign classrooms with other children? Is that legit? 32 00:01:49,960 --> 00:01:53,120 Speaker 1: Under the way the decisions written? What are the next 33 00:01:53,160 --> 00:01:55,800 Speaker 1: things that are going to be attacked? Because this Maga 34 00:01:55,880 --> 00:01:59,880 Speaker 1: crowd is really the most extreme political organization that's existed 35 00:02:00,000 --> 00:02:03,440 Speaker 1: in American history? Can I just say, I mean, I 36 00:02:03,480 --> 00:02:05,160 Speaker 1: know that he went back said in recent history. I 37 00:02:05,240 --> 00:02:07,680 Speaker 1: think after that, but the MAGA crowd, I guess by 38 00:02:07,680 --> 00:02:10,000 Speaker 1: that he means the Republican Party. He's trying to tell 39 00:02:10,080 --> 00:02:13,000 Speaker 1: us this is the most extreme Republican party. Because finally, 40 00:02:13,040 --> 00:02:15,720 Speaker 1: the Supreme Court has weighed in on what is obviously 41 00:02:15,720 --> 00:02:18,600 Speaker 1: the correct constitutional and they haven't even made the decision official. 42 00:02:19,120 --> 00:02:22,920 Speaker 1: The pro life movement and then the Conservative platform has 43 00:02:22,960 --> 00:02:25,079 Speaker 1: been the pro life movement for decades and decades now, 44 00:02:25,120 --> 00:02:27,920 Speaker 1: So there's nothing so should be surprising about this. But Clay, 45 00:02:27,960 --> 00:02:30,239 Speaker 1: can you explain to me what is he even talk 46 00:02:30,480 --> 00:02:36,000 Speaker 1: keeping LGBTQ kids out of school? Like? What does he 47 00:02:36,120 --> 00:02:39,560 Speaker 1: even what does he think he's saying? I don't even know? 48 00:02:41,280 --> 00:02:44,720 Speaker 1: And this goes again to why I question his mental 49 00:02:44,760 --> 00:02:48,760 Speaker 1: faculties to such a degree. If he wants to fear 50 00:02:48,840 --> 00:02:52,840 Speaker 1: monger based on this opinion, that is hard because, as 51 00:02:52,880 --> 00:02:58,520 Speaker 1: we said, Aldo in his opinion specifically says that he's 52 00:02:58,600 --> 00:03:02,200 Speaker 1: not going to go after other things. For instance, if 53 00:03:02,240 --> 00:03:05,120 Speaker 1: you really wanted to fearmonger here and maybe Joe Biden 54 00:03:05,160 --> 00:03:08,960 Speaker 1: will eventually fearmonger better than he did there, you wouldn't 55 00:03:09,000 --> 00:03:11,160 Speaker 1: say gay kids are going to get pulled out of 56 00:03:11,160 --> 00:03:15,280 Speaker 1: the classroom. You would say something like, oh, next, they're 57 00:03:15,320 --> 00:03:19,320 Speaker 1: going to take away your birth control. Something like ninety 58 00:03:19,400 --> 00:03:23,680 Speaker 1: percent of Americans believe that birth control is fine for 59 00:03:23,840 --> 00:03:26,280 Speaker 1: people to use. I am one of them. Chances are 60 00:03:26,400 --> 00:03:30,440 Speaker 1: that many of you also agree with that. What is 61 00:03:31,160 --> 00:03:35,160 Speaker 1: clear here from Joe Biden's arguments is he hasn't read 62 00:03:35,240 --> 00:03:39,960 Speaker 1: the opinion himself, which is an indictment because if you're 63 00:03:40,000 --> 00:03:42,720 Speaker 1: going to be commenting on this, certainly as the president 64 00:03:42,720 --> 00:03:45,040 Speaker 1: of the United States, you should read the draft opinion. 65 00:03:45,840 --> 00:03:48,960 Speaker 1: And his argument doesn't make any sense there. And then 66 00:03:48,960 --> 00:03:52,320 Speaker 1: to go on and say that the MAGA crowd is 67 00:03:52,320 --> 00:03:55,080 Speaker 1: the most extreme in American history. Let's think for a 68 00:03:55,120 --> 00:03:59,040 Speaker 1: minute about some of the things that have existed political 69 00:03:59,080 --> 00:04:04,280 Speaker 1: party wise in American history, and also think about what 70 00:04:04,880 --> 00:04:10,120 Speaker 1: the MAGA crowd believes in secure boarders, respect for police officers, 71 00:04:11,000 --> 00:04:16,080 Speaker 1: putting America first, finding people with good, secure, safe jobs, 72 00:04:16,760 --> 00:04:21,640 Speaker 1: including people in manufacturing industries that have lost their jobs overseas, 73 00:04:22,720 --> 00:04:28,600 Speaker 1: giving people the ability to put America first, raising wages black, white, Asian, 74 00:04:28,640 --> 00:04:32,720 Speaker 1: Hispanic two levels that we haven't seen in modern history. 75 00:04:33,800 --> 00:04:36,320 Speaker 1: Trying to call that, and I saw where he's trying 76 00:04:36,320 --> 00:04:40,560 Speaker 1: to label it the ultramagas or something they're trying to label. 77 00:04:42,080 --> 00:04:45,920 Speaker 1: The clear attempt here is a desperate ploy to make 78 00:04:46,040 --> 00:04:49,640 Speaker 1: Donald Trump a figure in the mid term elections to 79 00:04:49,800 --> 00:04:54,440 Speaker 1: drive up Democrat turnout. But here's the problem, Buck, that's 80 00:04:54,480 --> 00:04:58,640 Speaker 1: the exact same campaign that Terry mccauiffer ran in Virginia 81 00:04:58,720 --> 00:05:02,560 Speaker 1: and Glenn Young can soundly defeated Terry mccalliff. Do you 82 00:05:02,600 --> 00:05:05,760 Speaker 1: remember that, Buck, we talked about this last fall when 83 00:05:06,400 --> 00:05:09,320 Speaker 1: they were bringing in all the heavy hitters, Barack Obama, 84 00:05:09,400 --> 00:05:12,160 Speaker 1: Kamala Harris. If I remember coming across the Potomac Or 85 00:05:12,200 --> 00:05:15,560 Speaker 1: River showing up for those rallies with Terry mccaulliffe saying 86 00:05:16,200 --> 00:05:19,120 Speaker 1: how bad things would be if Republicans took back control 87 00:05:20,000 --> 00:05:23,920 Speaker 1: of the old dominion there and they tried to make 88 00:05:23,960 --> 00:05:26,000 Speaker 1: Donald Trump a figure in that election, and you know 89 00:05:26,040 --> 00:05:28,279 Speaker 1: what happened. It didn't remotely work because he wasn't on 90 00:05:28,320 --> 00:05:32,240 Speaker 1: the ballot. That's now a sign of desperation six months out. 91 00:05:32,400 --> 00:05:35,400 Speaker 1: I believe that's ultimately what Joe Biden is trying to do, 92 00:05:35,839 --> 00:05:38,880 Speaker 1: but he's doing it a ham handed fashion, because, let's 93 00:05:38,920 --> 00:05:42,640 Speaker 1: be honest, he's got dementia. I was reading in that 94 00:05:42,640 --> 00:05:45,080 Speaker 1: political article you and I were talking about earlier, the 95 00:05:45,120 --> 00:05:47,760 Speaker 1: fact that he may run in twenty twenty four. Buck, 96 00:05:47,800 --> 00:05:50,400 Speaker 1: they said, many of the rooms they can't use at 97 00:05:50,400 --> 00:05:53,200 Speaker 1: the White House to do public events because they can't 98 00:05:53,200 --> 00:05:56,960 Speaker 1: fit his teleprompter in it. They can't have this man 99 00:05:57,120 --> 00:06:00,520 Speaker 1: in that Polical article. I'm a guy who likes big TV, 100 00:06:00,680 --> 00:06:03,039 Speaker 1: I gotta say. And in New York sometimes you get 101 00:06:03,040 --> 00:06:04,599 Speaker 1: that flat screen. It can be tough to get it 102 00:06:04,680 --> 00:06:06,520 Speaker 1: up the stairs in your walk up or whatever. But 103 00:06:06,600 --> 00:06:09,400 Speaker 1: when the teleprompter is too big for the president, that's 104 00:06:09,480 --> 00:06:12,440 Speaker 1: not good. I'm gonna read that quote from Politico at 105 00:06:12,480 --> 00:06:14,560 Speaker 1: some point in the show, but it's talking about the 106 00:06:14,600 --> 00:06:17,839 Speaker 1: fact that we may have a Trump Biden rematch. And 107 00:06:18,000 --> 00:06:21,120 Speaker 1: to me, what Biden is trying to do is draw 108 00:06:21,240 --> 00:06:23,839 Speaker 1: Trump in as a figure in this election. The problem 109 00:06:23,920 --> 00:06:25,880 Speaker 1: is Trump's not on the ballot. That might work in 110 00:06:25,920 --> 00:06:28,560 Speaker 1: twenty twenty four, and it's certainly something that'll be much 111 00:06:28,600 --> 00:06:30,880 Speaker 1: debated over the next couple of years who the Republican 112 00:06:30,960 --> 00:06:33,480 Speaker 1: nominee should be and whether eighty two year old Joe 113 00:06:33,480 --> 00:06:37,400 Speaker 1: Biden can run. But I mean, he is reading these 114 00:06:37,440 --> 00:06:40,720 Speaker 1: attacks off of a teleprompter, Buck, and they're still nonsensical. 115 00:06:40,720 --> 00:06:43,680 Speaker 1: He can't even deliver them, and more important, they're just lies. 116 00:06:43,760 --> 00:06:47,520 Speaker 1: And let's also remember not only you have two things 117 00:06:47,520 --> 00:06:51,120 Speaker 1: that I think are a huge challenge for the Democrat 118 00:06:51,279 --> 00:06:53,679 Speaker 1: brand right now, because I know we're talking about Biden 119 00:06:53,760 --> 00:06:56,960 Speaker 1: a lot and it's the mid terms that are going 120 00:06:57,000 --> 00:07:00,479 Speaker 1: to determine the House, the Senate, and different state races. 121 00:07:00,600 --> 00:07:02,600 Speaker 1: Biden's not on the ballot, but he's the leader of 122 00:07:02,640 --> 00:07:05,400 Speaker 1: the Democrat Party right now. He is the president. Is 123 00:07:05,440 --> 00:07:08,279 Speaker 1: the Biden regime. And you look at two things that 124 00:07:08,320 --> 00:07:10,560 Speaker 1: are huge problem. We talk a lot about the results, 125 00:07:10,560 --> 00:07:13,320 Speaker 1: which is the most important thing. Same way, results are 126 00:07:13,440 --> 00:07:17,520 Speaker 1: the most important single part of the discussion. I think 127 00:07:17,520 --> 00:07:20,200 Speaker 1: about school shutdowns, right because we don't have to get 128 00:07:20,240 --> 00:07:22,800 Speaker 1: into the oh, but philosophically, no, no, you guys shut 129 00:07:22,800 --> 00:07:25,720 Speaker 1: down the schools. You hurt kids. And the COVID issue 130 00:07:26,000 --> 00:07:29,000 Speaker 1: was irrelevant for the kids because they've either got COVID elsewhere. 131 00:07:29,000 --> 00:07:32,440 Speaker 1: It didn't matter the Biden administration. We look at the results, 132 00:07:32,440 --> 00:07:34,760 Speaker 1: but also look at the promises. For a moment. You 133 00:07:34,800 --> 00:07:37,240 Speaker 1: remember this clay in New York City. I mean it 134 00:07:37,280 --> 00:07:39,960 Speaker 1: was embarrassing. I'll be honestly, it was embarrassing. People were 135 00:07:40,080 --> 00:07:43,360 Speaker 1: driving around and it was like World War When they 136 00:07:43,400 --> 00:07:46,520 Speaker 1: finally announced for Biden, it was like World War two 137 00:07:46,600 --> 00:07:51,080 Speaker 1: had just ended. The Abullians, the joy, the happiness in 138 00:07:51,160 --> 00:07:53,560 Speaker 1: the streets, it was, oh my gosh, you know, as 139 00:07:53,600 --> 00:07:55,760 Speaker 1: though it was the end of dogs and cats living together, 140 00:07:55,840 --> 00:07:58,880 Speaker 1: mass hysteria. All of a sudden, we were coming together 141 00:07:59,000 --> 00:08:02,040 Speaker 1: in a way. The Democrats obviously voted for Biden that 142 00:08:02,160 --> 00:08:05,680 Speaker 1: was going to unite US as a country and normalcy return. 143 00:08:06,360 --> 00:08:10,880 Speaker 1: Claim they pushed to fire huge numbers of people from 144 00:08:10,920 --> 00:08:13,200 Speaker 1: their jobs for not getting a shot that most of 145 00:08:13,200 --> 00:08:17,560 Speaker 1: those people didn't even need. Yes, thousands of people, tens 146 00:08:17,560 --> 00:08:23,080 Speaker 1: of thousands of people, military teachers, workers in all different 147 00:08:23,120 --> 00:08:28,760 Speaker 1: sorts of government jobs lost their employment for a shot 148 00:08:28,800 --> 00:08:30,000 Speaker 1: that they didn't need it. I'm just saying that they 149 00:08:30,320 --> 00:08:35,000 Speaker 1: promised to unite the country steady hand adults in the room, competency, 150 00:08:35,679 --> 00:08:37,920 Speaker 1: and so when you look at the promise and now 151 00:08:38,000 --> 00:08:43,280 Speaker 1: the results, I mean, the gap is enormous, right, I mean, 152 00:08:43,360 --> 00:08:45,520 Speaker 1: you know they promised me filet me and yawn and 153 00:08:45,920 --> 00:08:48,640 Speaker 1: a side of Vernez sauce with some asparagus. I haven't 154 00:08:48,640 --> 00:08:50,559 Speaker 1: eaten lunch. I'm obviously hungry, by the way, That's what 155 00:08:50,600 --> 00:08:53,840 Speaker 1: I'm having. When Hunter gets indicted. Oh yeah, you're gonna 156 00:08:53,840 --> 00:08:55,720 Speaker 1: go with the wag you there, fancy man. We'll see 157 00:08:55,720 --> 00:08:58,480 Speaker 1: how it goes. I think whatever the most expensive steake 158 00:08:59,160 --> 00:09:02,280 Speaker 1: version we can find anywhere, but I like the I'll 159 00:09:02,280 --> 00:09:04,679 Speaker 1: even let you get the blue the blue cheese crust 160 00:09:04,720 --> 00:09:07,320 Speaker 1: on top, or rather I'll get it because Hunter's not 161 00:09:07,320 --> 00:09:09,560 Speaker 1: getting indicted. But my point here as they showed up 162 00:09:09,600 --> 00:09:11,079 Speaker 1: with a bunch of rotten eggs. Have you ever actually 163 00:09:11,080 --> 00:09:13,400 Speaker 1: seen rotten eggs? That's happening once or twice? Very gross, 164 00:09:13,480 --> 00:09:17,040 Speaker 1: Like the actual results of administration versus what they promised, 165 00:09:17,360 --> 00:09:21,280 Speaker 1: that gap is enormous, and I think that really factors 166 00:09:21,280 --> 00:09:24,160 Speaker 1: into psychology that we'll see going into the election. I 167 00:09:24,160 --> 00:09:26,920 Speaker 1: really do, because the promise wasn't you know, we're in 168 00:09:27,040 --> 00:09:29,199 Speaker 1: rough times and we're you know, it's gonna be tough 169 00:09:29,240 --> 00:09:31,360 Speaker 1: going forward. All I can offer you is blood, toil, 170 00:09:31,440 --> 00:09:34,240 Speaker 1: tears and sweat. It was We're gonna unite the country. 171 00:09:34,240 --> 00:09:36,160 Speaker 1: It's gonna be awesome. I'm gonna be a booming economy. 172 00:09:36,240 --> 00:09:40,080 Speaker 1: Joe Biden's gonna be so great. Joe Biden's an imbecile. Amen. 173 00:09:40,640 --> 00:09:42,839 Speaker 1: And we'll talk more about that as we continue to roll. 174 00:09:42,920 --> 00:09:46,280 Speaker 1: By the way, our buddy Ron Johnson, the Senator from Wisconsin, 175 00:09:46,600 --> 00:09:49,520 Speaker 1: Dana Perino from Fox News, and Kosh Patel formerly from 176 00:09:49,640 --> 00:09:52,040 Speaker 1: the Trump administration, all still to come in the next 177 00:09:52,040 --> 00:09:54,360 Speaker 1: couple of hours, but we've got a new sponsor I'm 178 00:09:54,400 --> 00:09:57,120 Speaker 1: really excited about looking forward to incorporating in my life. 179 00:09:57,160 --> 00:10:00,440 Speaker 1: It's called Chalk and it's not spelled the way it's sounds. 180 00:10:00,520 --> 00:10:04,760 Speaker 1: So play close attention to me choq. Let me repeat 181 00:10:04,800 --> 00:10:08,280 Speaker 1: that again, c hoq. If you're like me, juggling a 182 00:10:08,280 --> 00:10:11,800 Speaker 1: lot in your life. 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If you're just tuning in now, 220 00:12:35,840 --> 00:12:38,480 Speaker 1: if you've been with us for the whole ride, God 221 00:12:38,480 --> 00:12:42,200 Speaker 1: bless We've got our friend Cash Putell with us now, 222 00:12:42,360 --> 00:12:46,640 Speaker 1: former d D Chief of Staff, deputy assistant to President 223 00:12:46,679 --> 00:12:51,040 Speaker 1: Trump and a Trump Media Board member. Cash give you 224 00:12:51,080 --> 00:12:53,920 Speaker 1: to join us, man, How are you? I'm great, Bucks, 225 00:12:54,120 --> 00:12:56,360 Speaker 1: glad to be with you on your show. Love it so, 226 00:12:56,400 --> 00:12:58,120 Speaker 1: I know, thank you, Thank you, sir. So I know 227 00:12:58,160 --> 00:13:01,079 Speaker 1: you've you've got something of an ex elusive for us. 228 00:13:01,200 --> 00:13:03,360 Speaker 1: I need you to lay out because this goes to 229 00:13:04,360 --> 00:13:07,200 Speaker 1: trying to find the ultimate truth of just what the 230 00:13:07,240 --> 00:13:12,800 Speaker 1: deep state did in the Russia collusion mass under Trump, 231 00:13:12,880 --> 00:13:15,920 Speaker 1: the fight over getting to that truth. I tell everybody 232 00:13:15,920 --> 00:13:19,560 Speaker 1: what you know, what's at stake here and what's happening. Yeah, 233 00:13:19,640 --> 00:13:21,760 Speaker 1: thanks so much and Buck, as you know, President Trump's 234 00:13:21,760 --> 00:13:25,720 Speaker 1: platform was transparency, and part of that transparency comes in 235 00:13:25,720 --> 00:13:28,680 Speaker 1: the form of providing the American public with information that 236 00:13:28,679 --> 00:13:31,400 Speaker 1: should never have been classified or kept from them in 237 00:13:31,440 --> 00:13:33,800 Speaker 1: the first place. And what he did was on his 238 00:13:33,840 --> 00:13:36,680 Speaker 1: way out of the White House, he declassified, made available 239 00:13:36,720 --> 00:13:40,040 Speaker 1: to every American citizen in the world, large volumes of 240 00:13:40,080 --> 00:13:43,400 Speaker 1: information relating not just to Russia gee, but to national 241 00:13:43,440 --> 00:13:47,480 Speaker 1: security matters, to the Ukraine impeachment, to his impeachment one impeachment, 242 00:13:47,520 --> 00:13:51,079 Speaker 1: to all things that deep staters, as you know, bucking government, 243 00:13:51,120 --> 00:13:53,160 Speaker 1: go in there and get their hands on and classify 244 00:13:53,480 --> 00:13:55,560 Speaker 1: because they don't want the truth to get out, because 245 00:13:55,559 --> 00:13:58,679 Speaker 1: it's going to make President Trump look good because he 246 00:13:58,760 --> 00:14:01,040 Speaker 1: always supported the truth of facts. And that's what we 247 00:14:01,120 --> 00:14:04,199 Speaker 1: have here is a whole flew of documents and information 248 00:14:04,240 --> 00:14:07,160 Speaker 1: that President Trump wanted to put out, and the deep 249 00:14:07,200 --> 00:14:09,600 Speaker 1: staters came in and got their hands on. And here's 250 00:14:09,880 --> 00:14:12,360 Speaker 1: here's the biggest part. They violated an order from the 251 00:14:12,400 --> 00:14:16,280 Speaker 1: President of the United States to withhold this information. And 252 00:14:16,360 --> 00:14:20,120 Speaker 1: now it's in a bureaucratic, gymnastic dog fight between Congress 253 00:14:20,160 --> 00:14:22,800 Speaker 1: and records people, which so tell us, tell us what happened. 254 00:14:22,840 --> 00:14:24,880 Speaker 1: So this is the when Trump is stilling off. As 255 00:14:24,920 --> 00:14:27,640 Speaker 1: he's a sitting president, he is supposed to be the 256 00:14:27,720 --> 00:14:32,000 Speaker 1: ultimate declassification authority and can even real time declassify. I 257 00:14:32,040 --> 00:14:33,400 Speaker 1: remember this when I was in the CIA. If the 258 00:14:33,400 --> 00:14:35,280 Speaker 1: President says you know what, I'm going to declassify this, 259 00:14:35,920 --> 00:14:39,400 Speaker 1: he basically can. I mean, if there's some some process 260 00:14:39,440 --> 00:14:41,280 Speaker 1: sometimes that people will go through. But if the president 261 00:14:41,280 --> 00:14:43,760 Speaker 1: wants to go on TV and say I'm I'm declassifying this, 262 00:14:43,840 --> 00:14:48,400 Speaker 1: nobody can override him. So what's the problem. I mean, 263 00:14:48,440 --> 00:14:51,200 Speaker 1: if a president wants people to have information that falls 264 00:14:51,240 --> 00:14:54,120 Speaker 1: under the executive branch, how does he get stopped and 265 00:14:54,240 --> 00:14:57,600 Speaker 1: who stopped President Trump from releasing this information? And where 266 00:14:57,640 --> 00:15:00,400 Speaker 1: does it stand right now in the process of getting 267 00:15:00,400 --> 00:15:02,120 Speaker 1: out there so we can sit here and talk about it. 268 00:15:03,080 --> 00:15:05,600 Speaker 1: That's exactly right. The president is the ultimate, as we say, 269 00:15:05,680 --> 00:15:08,320 Speaker 1: declassification authority. He can go on TV, he can write 270 00:15:08,320 --> 00:15:10,640 Speaker 1: an article and he can say it's declassified. And while 271 00:15:10,680 --> 00:15:13,520 Speaker 1: President Trump was still president in the United States, he 272 00:15:13,600 --> 00:15:16,000 Speaker 1: was going through reams of volumes of information with his 273 00:15:16,080 --> 00:15:18,600 Speaker 1: teams and said this is what the American people should see, 274 00:15:18,640 --> 00:15:21,960 Speaker 1: and he literally said all of this is declassified. Then 275 00:15:22,000 --> 00:15:24,880 Speaker 1: what happens is, you know, Buck from the true deep 276 00:15:24,880 --> 00:15:27,320 Speaker 1: staters that are in there too, who always block President 277 00:15:27,360 --> 00:15:31,360 Speaker 1: Trump's agenda, especially in national security matters, came in and 278 00:15:31,400 --> 00:15:33,320 Speaker 1: said no, no, no, we're going to keep this. We're 279 00:15:33,320 --> 00:15:35,480 Speaker 1: going to slow roll this, we're not going to release it, 280 00:15:35,840 --> 00:15:38,920 Speaker 1: and ultimately President Trump left office, they basically ran out 281 00:15:38,960 --> 00:15:41,480 Speaker 1: the clock on him and then submitted the records to 282 00:15:41,560 --> 00:15:43,880 Speaker 1: the Holding Agency and they said, oh, these records still 283 00:15:43,920 --> 00:15:46,600 Speaker 1: have classification marketings on them. You and I, buck Boats 284 00:15:46,680 --> 00:15:49,640 Speaker 1: know that's meaningless if the Commander in chiefs declassified them. 285 00:15:49,840 --> 00:15:52,280 Speaker 1: But the White House Council's Office, I believe is largely 286 00:15:52,320 --> 00:15:55,280 Speaker 1: the blame here under President Trump because they didn't take 287 00:15:55,320 --> 00:15:58,600 Speaker 1: the Commander in Chief's guidance and orders on declassification and 288 00:15:58,640 --> 00:16:02,480 Speaker 1: the American public suffers. What is there to hide from 289 00:16:02,520 --> 00:16:04,920 Speaker 1: the American public if it involves the truth? I mean, 290 00:16:04,960 --> 00:16:07,400 Speaker 1: and that's the essence of what we're doing here. And 291 00:16:07,600 --> 00:16:10,920 Speaker 1: nobody's ever talked about this in the media. So I'm 292 00:16:10,960 --> 00:16:13,240 Speaker 1: grateful for the opportunity to get this out there. But 293 00:16:13,320 --> 00:16:14,960 Speaker 1: the bigger story is, you know, we got to put 294 00:16:14,960 --> 00:16:18,560 Speaker 1: pressure on the government bureaucrats to release this information so 295 00:16:18,600 --> 00:16:21,280 Speaker 1: the American public can read for themselves instead of having 296 00:16:21,320 --> 00:16:24,680 Speaker 1: it fed to them falsely and in piecemeal and leak 297 00:16:25,120 --> 00:16:27,520 Speaker 1: like we're so used to. Whether it's Russia Gate or 298 00:16:27,600 --> 00:16:30,680 Speaker 1: Ukraine Gate, or you know, January sixth or what have 299 00:16:30,800 --> 00:16:33,360 Speaker 1: you and the American people have that right. We're hoping 300 00:16:33,400 --> 00:16:37,000 Speaker 1: to get this information out soon well our audience. Gosh, 301 00:16:37,000 --> 00:16:40,720 Speaker 1: thanks for coming on and sharing that. Millions of people 302 00:16:40,720 --> 00:16:43,000 Speaker 1: are hearing it right now. I'll look forward to seeing 303 00:16:43,040 --> 00:16:45,720 Speaker 1: it in a small, little, you know, subheading in the 304 00:16:45,760 --> 00:16:48,640 Speaker 1: New York Times on the eighteenth page after they put 305 00:16:48,680 --> 00:16:51,480 Speaker 1: this on the front page. You know, when the details 306 00:16:51,520 --> 00:16:54,520 Speaker 1: come out, like I'm sure you saw too, the story 307 00:16:54,560 --> 00:16:58,960 Speaker 1: about hey, there's seven hours missing of call logs on 308 00:16:59,080 --> 00:17:01,240 Speaker 1: the day of January sixth, Then it was like, oh 309 00:17:01,280 --> 00:17:03,760 Speaker 1: my god, this is Watergate on steroids, and it's the 310 00:17:03,800 --> 00:17:05,879 Speaker 1: front page and everything else, and they're like, oh, actually 311 00:17:05,880 --> 00:17:08,840 Speaker 1: that's not true, and a huge percentage of the American 312 00:17:08,880 --> 00:17:12,919 Speaker 1: public doesn't ever see the correction. How frustrating was that 313 00:17:13,000 --> 00:17:15,440 Speaker 1: working in the Trump White House? Because I've always said this, 314 00:17:15,480 --> 00:17:18,400 Speaker 1: and I'm curious what you think of this analogy. If 315 00:17:18,400 --> 00:17:21,879 Speaker 1: the media were just incompetent, every now and then, they 316 00:17:21,920 --> 00:17:25,680 Speaker 1: would have a Trump story that was incredibly favorable to 317 00:17:25,760 --> 00:17:28,879 Speaker 1: Trump that wasn't true, Right, You'd pick up the New 318 00:17:28,960 --> 00:17:31,520 Speaker 1: York Times and it would be like, hey, Trump saved 319 00:17:31,640 --> 00:17:35,440 Speaker 1: three puppies from drowning, and you know, in the Potomac 320 00:17:35,600 --> 00:17:38,320 Speaker 1: River and then it comes out, oh, it didn't actually happen, 321 00:17:38,480 --> 00:17:40,639 Speaker 1: but you know, they were just incompetent, and the story 322 00:17:40,680 --> 00:17:44,320 Speaker 1: got on the front page that every single story that 323 00:17:44,440 --> 00:17:49,160 Speaker 1: was proven to be false about Donald Trump was negative, right, 324 00:17:49,200 --> 00:17:53,119 Speaker 1: So it's not even incompetence. It's such an incredible bias. 325 00:17:53,200 --> 00:17:57,000 Speaker 1: What was that experience like serving in that administration and 326 00:17:57,080 --> 00:18:00,240 Speaker 1: seeing that happen time after time? But this is you 327 00:18:00,320 --> 00:18:02,440 Speaker 1: have the best radio show in the country because you've 328 00:18:02,800 --> 00:18:06,320 Speaker 1: phrased it better than I ever could. It is extremely frustrating. 329 00:18:06,320 --> 00:18:08,480 Speaker 1: And it's not just incompetence. I take it one level 330 00:18:08,520 --> 00:18:11,880 Speaker 1: further when I talk about it to journalists. It's disinformation. 331 00:18:12,359 --> 00:18:16,440 Speaker 1: It's feeding the American public intentionally false information and live 332 00:18:16,840 --> 00:18:21,159 Speaker 1: to advance the political narrative that jeopardizes American national security interests. 333 00:18:21,160 --> 00:18:24,000 Speaker 1: Be it the Afghan Afghanistan withdrawal, be it now the 334 00:18:24,080 --> 00:18:26,600 Speaker 1: Hunter Biden laptop story, which we all knew to be 335 00:18:26,640 --> 00:18:30,439 Speaker 1: true but was completely reported as false. And here's the problem. 336 00:18:30,440 --> 00:18:32,760 Speaker 1: The American public, most of them don't catch up to it. 337 00:18:33,040 --> 00:18:35,200 Speaker 1: Your viewers do because they care and they're dialed in. 338 00:18:35,960 --> 00:18:38,080 Speaker 1: But months and months and months and years of information 339 00:18:38,200 --> 00:18:40,480 Speaker 1: was pedled out by the likes of Adam Shifts in 340 00:18:40,520 --> 00:18:42,760 Speaker 1: the New York Times and the Washington Post. Whether it's 341 00:18:42,800 --> 00:18:46,919 Speaker 1: Russia Gate by Hunter Biden laptop Afghan withdrawal January sixth, 342 00:18:47,320 --> 00:18:50,159 Speaker 1: and the record is corrected as as you noted in 343 00:18:50,200 --> 00:18:53,760 Speaker 1: some footnote buried on page eighteen of a story two 344 00:18:53,880 --> 00:18:58,320 Speaker 1: years later. The problem is that disinformation politicizes the national 345 00:18:58,320 --> 00:19:00,840 Speaker 1: security apparatus the United States. And what do you have. 346 00:19:01,280 --> 00:19:03,439 Speaker 1: You have a Joe Biden as president. As a result, 347 00:19:03,520 --> 00:19:06,080 Speaker 1: you have a border catastrophe, you have an OPO at crisis, 348 00:19:06,359 --> 00:19:08,439 Speaker 1: and you have Russia and China on the ride in 349 00:19:08,480 --> 00:19:11,800 Speaker 1: America on the decrease, and that is the ultimate politicization 350 00:19:12,160 --> 00:19:14,240 Speaker 1: of the national security. Epperartist. That's what I faced, That's 351 00:19:14,240 --> 00:19:16,840 Speaker 1: what I fought, and that's what we're continuing to fight. 352 00:19:16,840 --> 00:19:18,480 Speaker 1: We're gonna We're not gonna sit here and take a 353 00:19:18,560 --> 00:19:21,720 Speaker 1: knee because President Trump isn't an office right now. We're 354 00:19:21,720 --> 00:19:24,920 Speaker 1: speaking of Cash Mattel, former DoD Chief of staff over 355 00:19:24,920 --> 00:19:28,639 Speaker 1: at the Pentagon, deputy assistant to President Trump in the 356 00:19:28,680 --> 00:19:32,520 Speaker 1: White House. And I mean Cash, there so much I 357 00:19:32,520 --> 00:19:35,160 Speaker 1: could follow up with on Clay's question there just second 358 00:19:35,200 --> 00:19:38,840 Speaker 1: ago but I did want to ask you, um having 359 00:19:38,880 --> 00:19:41,159 Speaker 1: been you know, I was obviously inside the belly of 360 00:19:41,160 --> 00:19:43,240 Speaker 1: the beast in some way at the CIA, You were 361 00:19:43,680 --> 00:19:47,199 Speaker 1: at the Pentagon and the White House. When you see 362 00:19:47,480 --> 00:19:51,600 Speaker 1: who they are defending and elevating as the White House 363 00:19:51,760 --> 00:19:56,359 Speaker 1: disinformations are, does this go even beyond I mean, I 364 00:19:56,440 --> 00:19:59,360 Speaker 1: call her Soviet Mary Poppins. Does this go even beyond 365 00:19:59,640 --> 00:20:04,760 Speaker 1: what you you thought was possible for the deep staters? Unfortunately, 366 00:20:05,280 --> 00:20:07,639 Speaker 1: they've proven me wrong. It doesn't go beyond what I 367 00:20:07,680 --> 00:20:10,679 Speaker 1: even thought was possible. Because now you have the Secretary 368 00:20:10,680 --> 00:20:14,040 Speaker 1: of Homeland Security going on national TV and before Congress 369 00:20:14,080 --> 00:20:17,560 Speaker 1: and saying I can't comment on the Steel Dostier and 370 00:20:17,640 --> 00:20:20,440 Speaker 1: the fact that it was disinformation, but I'm going to 371 00:20:20,480 --> 00:20:23,320 Speaker 1: place the head of the Ministry of Truth a lady 372 00:20:23,359 --> 00:20:27,080 Speaker 1: who said the Steel Dostier was verified information that should 373 00:20:27,080 --> 00:20:29,320 Speaker 1: still be relied on, and she said that in twenty 374 00:20:29,320 --> 00:20:32,600 Speaker 1: twenty and twenty twenty one. This is a type of disinformation. 375 00:20:32,720 --> 00:20:35,080 Speaker 1: This is a type of deep state that has corrupted 376 00:20:35,119 --> 00:20:37,879 Speaker 1: American politics, and this is why no one trusts our 377 00:20:37,960 --> 00:20:41,520 Speaker 1: national security program anymore. And Whites on the rapid rapid 378 00:20:41,560 --> 00:20:44,119 Speaker 1: decline and to stand up a quote unquote Ministry of 379 00:20:44,160 --> 00:20:46,959 Speaker 1: Truth or whatever you want to call it, a disinformation bureau, 380 00:20:46,960 --> 00:20:48,320 Speaker 1: and they come out and they say we're not going 381 00:20:48,400 --> 00:20:51,639 Speaker 1: to monitor American conversations. But you and I both know 382 00:20:51,720 --> 00:20:55,199 Speaker 1: they mean they're going to monitor American conversations. It just 383 00:20:55,240 --> 00:20:57,600 Speaker 1: so happens if you're with President Trump or a conservative, 384 00:20:57,680 --> 00:21:01,480 Speaker 1: your conversations are getting monitored and the rest or not Cash. 385 00:21:01,520 --> 00:21:04,479 Speaker 1: Do we have any update or what you expect to 386 00:21:04,480 --> 00:21:08,520 Speaker 1: see going forward with the Durham probe itself? Obviously as 387 00:21:09,119 --> 00:21:12,240 Speaker 1: it continues to progress. What are you hearing? What do 388 00:21:12,280 --> 00:21:15,440 Speaker 1: you expect to see? What should our listeners know as 389 00:21:15,440 --> 00:21:18,560 Speaker 1: it relates to that. Yeah, look, I'm a little biased 390 00:21:18,600 --> 00:21:21,399 Speaker 1: here as a chief investigator for Russigate during Chairman Nunez 391 00:21:21,400 --> 00:21:25,159 Speaker 1: and a former federal prosecutor, I've been following Durham with 392 00:21:25,359 --> 00:21:27,680 Speaker 1: great detail and I put out Durham Watch on Truth 393 00:21:27,760 --> 00:21:31,040 Speaker 1: Social under at Cash every day and what we latest, 394 00:21:31,080 --> 00:21:33,520 Speaker 1: what we've seen with the latest round of Durham prosecutions 395 00:21:33,520 --> 00:21:36,880 Speaker 1: and filings is that the Clinton criminal cartel has come 396 00:21:36,920 --> 00:21:40,640 Speaker 1: in and admitted to breaking federal campaign finance law by 397 00:21:40,760 --> 00:21:45,160 Speaker 1: utilizing campaign dollars to hire fusion GPS and Christopher Steele 398 00:21:45,400 --> 00:21:49,800 Speaker 1: to pump disinformation into the FBI and froudently surveill the 399 00:21:49,840 --> 00:21:52,120 Speaker 1: presidents of Canada of the United States. But that's not all. 400 00:21:52,400 --> 00:21:55,000 Speaker 1: We learned that their lawyers were pumping tens of millions 401 00:21:55,000 --> 00:21:58,000 Speaker 1: of dollars into the media as well to send this 402 00:21:58,080 --> 00:22:01,879 Speaker 1: disinformation out far and wide so that they could take 403 00:22:02,000 --> 00:22:04,960 Speaker 1: down President Trump at that time, Canada Trump, and later 404 00:22:04,960 --> 00:22:07,679 Speaker 1: President Trump. So what John Durham has smartly done in 405 00:22:07,680 --> 00:22:10,639 Speaker 1: federal fleetings almost every day for the last two weeks 406 00:22:11,000 --> 00:22:15,000 Speaker 1: is outlined the joint venture conspiracy between the likes of Fusion, GPS, 407 00:22:15,680 --> 00:22:19,720 Speaker 1: Sussman Elias, Christopher Steele, and the folks at the Clinton 408 00:22:19,760 --> 00:22:23,679 Speaker 1: campaign Podesta mooch Jake Sullivan, the current National Security Advisor, 409 00:22:23,720 --> 00:22:26,080 Speaker 1: and said, you guys are all targets of my investigation, 410 00:22:26,840 --> 00:22:29,520 Speaker 1: and we're going to take your own documents and your 411 00:22:29,560 --> 00:22:32,280 Speaker 1: own emails and use them against you. And he just 412 00:22:32,320 --> 00:22:34,879 Speaker 1: want a big fleeting in court yesterday that said, the 413 00:22:35,000 --> 00:22:38,000 Speaker 1: judge is going to allow him to use classified and 414 00:22:38,080 --> 00:22:41,200 Speaker 1: declassified information that was being withheld from the United States 415 00:22:41,200 --> 00:22:44,119 Speaker 1: government in the prosecution's case, and that's going to mean 416 00:22:44,160 --> 00:22:46,760 Speaker 1: being public during the trial and Clinton World, I can 417 00:22:46,840 --> 00:22:49,879 Speaker 1: tell you for sure is absolutely scared and running and 418 00:22:49,880 --> 00:22:52,920 Speaker 1: they're hoping Michael Sussman takes a plea, but I'm hoping 419 00:22:52,960 --> 00:22:55,280 Speaker 1: he doesn't because there's more than just one co conspirator 420 00:22:55,280 --> 00:22:58,480 Speaker 1: of this criminal conspiracy. You can follow Cash's work at 421 00:22:58,640 --> 00:23:02,399 Speaker 1: fight with cash dot com or on Truthsocial at k 422 00:23:02,840 --> 00:23:07,560 Speaker 1: a Sage. It's not Cash like the money, it's Kash Cash, 423 00:23:07,600 --> 00:23:09,119 Speaker 1: my friend. Good to have you all man, Thanks for 424 00:23:09,160 --> 00:23:11,800 Speaker 1: hanging with me in Clay. Thanks so much. Have a 425 00:23:11,840 --> 00:23:15,640 Speaker 1: great weekend, guys. Take care. Relief Factor is the one 426 00:23:15,680 --> 00:23:18,439 Speaker 1: hundred percent drug free product that is so helpful the 427 00:23:18,440 --> 00:23:22,120 Speaker 1: people who are struggling with chronic pain. 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Order the three week quickstart for 443 00:24:06,720 --> 00:24:10,720 Speaker 1: only nineteen ninety five good relief Factor dot com or 444 00:24:10,800 --> 00:24:13,760 Speaker 1: call eight hundred four Relief. Either way, get the three 445 00:24:13,880 --> 00:24:17,080 Speaker 1: week quickstart for only nineteen ninety five developed for you. 446 00:24:17,680 --> 00:24:21,719 Speaker 1: Go to relief Factor dot com or call eight hundred 447 00:24:21,720 --> 00:24:24,480 Speaker 1: the number four Relief. Move more, live more, and just 448 00:24:24,640 --> 00:24:33,480 Speaker 1: enjoy your life board with relief Factor. Welcome back in 449 00:24:33,640 --> 00:24:37,160 Speaker 1: play Travis buck Sexton Show. Joined now by our friends 450 00:24:37,160 --> 00:24:41,600 Speaker 1: Senator Ron Johnson of Wisconsin, and we're talking about the 451 00:24:41,640 --> 00:24:44,400 Speaker 1: importance of the mid term elections and everybody out there 452 00:24:44,440 --> 00:24:46,320 Speaker 1: listening in the great state of Wisconsin, we need you 453 00:24:46,359 --> 00:24:49,960 Speaker 1: to go vote for Senator Ron Johnson and Senator I 454 00:24:50,080 --> 00:24:51,639 Speaker 1: meant to ask you this the last time you were on, 455 00:24:51,720 --> 00:24:54,000 Speaker 1: but I can barely keep up with it. We've been 456 00:24:54,119 --> 00:24:57,120 Speaker 1: number one in Milwaukee. We appreciate everybody listening in Milwaukee 457 00:24:57,280 --> 00:25:01,679 Speaker 1: right now, our kids in Milwaukee Senator still being required 458 00:25:01,760 --> 00:25:04,600 Speaker 1: to wear masks. I know it's been bouncing back and 459 00:25:04,640 --> 00:25:07,040 Speaker 1: forth quite a bit, but I think that a lot 460 00:25:07,040 --> 00:25:11,240 Speaker 1: of them still are. Do you know the latest details there? Yeah, 461 00:25:11,280 --> 00:25:13,320 Speaker 1: I know they suspended for a couple of days, then 462 00:25:13,359 --> 00:25:15,200 Speaker 1: they slapped it right back on. I'm not sure if 463 00:25:15,240 --> 00:25:18,760 Speaker 1: they've taken it back off again. How crazy is that? 464 00:25:18,880 --> 00:25:21,639 Speaker 1: So there's a lot of suburban moms out there that 465 00:25:21,680 --> 00:25:23,920 Speaker 1: are making decisions about who they're going to vote for, 466 00:25:24,520 --> 00:25:28,000 Speaker 1: and when you're sending your kid into a public school, 467 00:25:28,080 --> 00:25:30,960 Speaker 1: and they're still wearing a mask over two years after 468 00:25:31,040 --> 00:25:34,159 Speaker 1: COVID arrived in America. What do you think about that? 469 00:25:34,320 --> 00:25:36,280 Speaker 1: You look at the data, you look at the science. 470 00:25:36,520 --> 00:25:41,280 Speaker 1: How infuriating is that? Well, first of all, the science 471 00:25:41,280 --> 00:25:44,200 Speaker 1: for masks in generals and not particularly good Lessons ninety 472 00:25:44,200 --> 00:25:47,960 Speaker 1: five changed out frequently. But there's one group of people. 473 00:25:48,119 --> 00:25:51,000 Speaker 1: We always knew it. Masking would never work with a 474 00:25:51,080 --> 00:25:54,199 Speaker 1: mass of children. You ever seeing kids wear masks, you 475 00:25:54,280 --> 00:25:56,840 Speaker 1: know there's a party hand on their enemy. It was 476 00:25:56,880 --> 00:25:58,840 Speaker 1: never going to work with children. It's not working out, 477 00:25:59,200 --> 00:26:01,480 Speaker 1: So it's insane, But it's all part of what the 478 00:26:01,600 --> 00:26:03,639 Speaker 1: left is doing here that they will never admit they 479 00:26:03,680 --> 00:26:06,320 Speaker 1: were wrong, and so one of the ways they make 480 00:26:06,359 --> 00:26:08,920 Speaker 1: sure that they've not proven wrong is they just keep 481 00:26:08,920 --> 00:26:12,879 Speaker 1: doing the same things. It's one of their mechanisms to 482 00:26:13,119 --> 00:26:15,800 Speaker 1: keep us all in a state of fear, which is 483 00:26:15,960 --> 00:26:18,560 Speaker 1: what they do with it's climate change, with it's the pandemic, 484 00:26:18,880 --> 00:26:23,240 Speaker 1: so we control control our lives. Speaking Senator Ron Johnson, Senator, 485 00:26:23,280 --> 00:26:26,640 Speaker 1: it's buck. You know, I saw the interaction, the back 486 00:26:26,640 --> 00:26:30,400 Speaker 1: and forth you had with the Chief of DHS, Alejandro 487 00:26:30,600 --> 00:26:33,080 Speaker 1: may york Us on whether or not this is a 488 00:26:33,119 --> 00:26:35,520 Speaker 1: border crisis. Want to remind everybody in case they didn't 489 00:26:35,520 --> 00:26:36,960 Speaker 1: hear it or see it, here's how that Wor do 490 00:26:37,000 --> 00:26:39,040 Speaker 1: you say that we have a secure border that you're 491 00:26:39,040 --> 00:26:42,920 Speaker 1: managing it. Do you do you not admit that this 492 00:26:43,000 --> 00:26:47,320 Speaker 1: is a problem on the southern border? Um, Senator Johnson, 493 00:26:47,440 --> 00:26:51,919 Speaker 1: that is certainly a challenge. We recognize the challenge. Can 494 00:26:51,960 --> 00:26:56,320 Speaker 1: you say the word problem is it is precisely Senator Johnson, 495 00:26:56,320 --> 00:27:01,720 Speaker 1: it is precisely why in September of last year, I've 496 00:27:01,760 --> 00:27:03,919 Speaker 1: got some questions I want to ask you. Yeah, I've 497 00:27:03,960 --> 00:27:06,000 Speaker 1: got questions that I would want to ask a douce sedator. 498 00:27:06,040 --> 00:27:08,680 Speaker 1: But everyone that I know at the border on border 499 00:27:08,760 --> 00:27:10,960 Speaker 1: patrol and who's covering it and has been down there 500 00:27:10,960 --> 00:27:13,880 Speaker 1: recently says the same thing. The border is the most 501 00:27:14,000 --> 00:27:16,600 Speaker 1: lawleist and the biggest problem it has ever been. But 502 00:27:16,640 --> 00:27:20,720 Speaker 1: ma Orchis doesn't seem to think so. No, you know, challenges, 503 00:27:20,880 --> 00:27:23,159 Speaker 1: you know, for me, you're running five miles would be 504 00:27:23,200 --> 00:27:25,600 Speaker 1: a challenge. You know, a problem with something else, And 505 00:27:25,640 --> 00:27:27,760 Speaker 1: they will not admit they have a problem. They certainly 506 00:27:27,760 --> 00:27:30,359 Speaker 1: will not admit they cause the problem. And you know, 507 00:27:30,480 --> 00:27:32,359 Speaker 1: the eight hundred pounds grill in the in the room 508 00:27:32,480 --> 00:27:36,560 Speaker 1: is what the Democrats want because they want legislation. They 509 00:27:36,600 --> 00:27:39,720 Speaker 1: want to address the asylum problem. But they view the 510 00:27:39,720 --> 00:27:43,800 Speaker 1: asylum problem is asylum standard is too strict. And of 511 00:27:43,800 --> 00:27:47,000 Speaker 1: course the real problem is the asylum standard is pretty strict, 512 00:27:47,440 --> 00:27:50,320 Speaker 1: but we let people in under a much lower standard 513 00:27:50,320 --> 00:27:53,400 Speaker 1: called credible fear. All you have to say is I'm 514 00:27:53,400 --> 00:27:55,480 Speaker 1: afraid to go back to my home country and say, okay, 515 00:27:55,520 --> 00:27:57,560 Speaker 1: we'll come on in them and will jud kate you 516 00:27:57,640 --> 00:27:59,960 Speaker 1: plan your claiming. I don't know, five or six years 517 00:28:00,080 --> 00:28:02,680 Speaker 1: you probably had a couple of US citizen children by them. 518 00:28:03,640 --> 00:28:08,480 Speaker 1: So we've just created this enormous incentive, this enormous poll factor, 519 00:28:08,880 --> 00:28:11,439 Speaker 1: and all Democrats want to talk about is the push factor, 520 00:28:11,760 --> 00:28:14,119 Speaker 1: you know, the crime, the drugs, all the type of 521 00:28:14,119 --> 00:28:17,359 Speaker 1: thing in Central America. And they completely deny that the 522 00:28:17,400 --> 00:28:20,480 Speaker 1: primary issue here is the poll factor, and they will 523 00:28:20,520 --> 00:28:23,920 Speaker 1: not admit that Trump pretty all heads have the problem solved. 524 00:28:24,240 --> 00:28:26,200 Speaker 1: You know, we we pretty well stopped the flow of 525 00:28:26,280 --> 00:28:30,040 Speaker 1: uncompanied children family units exploiting our asylum laws. We were 526 00:28:30,119 --> 00:28:32,560 Speaker 1: building the fence, and so I put up my graph. 527 00:28:32,640 --> 00:28:35,840 Speaker 1: It's it's graphic. I mean, it just shows Trump and 528 00:28:35,920 --> 00:28:39,680 Speaker 1: solved the problem. And then the minute Democrats were running 529 00:28:39,680 --> 00:28:42,560 Speaker 1: for president, they said they were going to stop deportations 530 00:28:42,600 --> 00:28:47,120 Speaker 1: and give everybody healthcare. Single adult apprehension started growing. Then 531 00:28:47,160 --> 00:28:51,680 Speaker 1: once Biden took office, the problem just exploded. It's obvious, 532 00:28:52,120 --> 00:28:54,520 Speaker 1: but they will not admit the obvious that they literally 533 00:28:54,560 --> 00:28:58,280 Speaker 1: are living in an alternate reality center. Johnthan obviously a 534 00:28:58,280 --> 00:29:02,720 Speaker 1: lot of discussion about the leak of a proposed opinion 535 00:29:02,960 --> 00:29:08,120 Speaker 1: from Justice Alito overturning Roe v. Wade. What should happen 536 00:29:08,160 --> 00:29:11,720 Speaker 1: in your mind if if we are able to uncover 537 00:29:11,960 --> 00:29:16,360 Speaker 1: who leaked this opinion from the Supreme Court. Probasly, the 538 00:29:16,360 --> 00:29:19,920 Speaker 1: person needs to be fired and disparred thoroughly disgrace. I 539 00:29:19,960 --> 00:29:23,560 Speaker 1: mean the damage gender a Supreme Court is hard to overstate. 540 00:29:24,360 --> 00:29:27,200 Speaker 1: But you know, from my standpoint, I read the entire decision. 541 00:29:27,440 --> 00:29:30,000 Speaker 1: I'm not an attorney myself, but it was very easy 542 00:29:30,040 --> 00:29:32,920 Speaker 1: to read. I thought it was very detailed, covered all 543 00:29:32,960 --> 00:29:36,240 Speaker 1: the points, showed exactly why Robe and Casey were so 544 00:29:36,320 --> 00:29:39,200 Speaker 1: poorly decided. This a really good decision. This is what 545 00:29:39,240 --> 00:29:41,360 Speaker 1: should have happened fifty years ago. We should have allowed 546 00:29:41,360 --> 00:29:45,760 Speaker 1: the people to decide through the Democrat process. At what 547 00:29:46,000 --> 00:29:50,760 Speaker 1: point do you protect life? As a leader writes, it's 548 00:29:50,800 --> 00:29:55,760 Speaker 1: a profound moral issue, and it's so profound not you know, 549 00:29:55,840 --> 00:29:58,800 Speaker 1: nine unelected judges should not make that decision for all 550 00:29:58,960 --> 00:30:03,840 Speaker 1: society one individual. Should. We all ought to collectively come 551 00:30:04,000 --> 00:30:07,160 Speaker 1: to a decision on a state by state basis. Initially 552 00:30:07,480 --> 00:30:09,480 Speaker 1: that might be kind of a messy process, but we're 553 00:30:09,480 --> 00:30:12,520 Speaker 1: not going back fifty years. I have faith in the 554 00:30:12,520 --> 00:30:15,320 Speaker 1: American public to sort us out to the Democrat process 555 00:30:15,320 --> 00:30:18,320 Speaker 1: over the next couple of years. A Senator Tim Ryan, 556 00:30:18,400 --> 00:30:21,040 Speaker 1: who is trying to claim that he would be a 557 00:30:21,200 --> 00:30:24,760 Speaker 1: congressman right now. Tim Ryan, who's running in Ohio, said 558 00:30:24,800 --> 00:30:26,960 Speaker 1: on Fox News with Brett Bayer, we played this clip 559 00:30:27,040 --> 00:30:30,959 Speaker 1: earlier that he believed abortion should be able to occur 560 00:30:31,360 --> 00:30:36,280 Speaker 1: in the ninth month of pregnancy. That is an unbelievably 561 00:30:36,640 --> 00:30:41,520 Speaker 1: radical evolution and exaggeration in terms of what Democrats believe 562 00:30:41,840 --> 00:30:45,800 Speaker 1: on abortion. How commonplace do you think that idea is 563 00:30:46,040 --> 00:30:49,160 Speaker 1: among Democrats based on your experience in the United States 564 00:30:49,160 --> 00:30:53,920 Speaker 1: Senate now, that nine month abortion should be legal, Well, 565 00:30:53,960 --> 00:30:58,000 Speaker 1: in terms of Democrat elect officials, is probably pretty common, unfortunately. 566 00:30:58,400 --> 00:31:01,200 Speaker 1: But I think the general public, if given the information, 567 00:31:01,200 --> 00:31:05,160 Speaker 1: if they can just see what a you know, nine months, well, 568 00:31:05,160 --> 00:31:07,240 Speaker 1: everybody knows that nine month old baby looks like it's 569 00:31:07,240 --> 00:31:11,680 Speaker 1: a baby, Okay, But even even twenty week old or 570 00:31:11,800 --> 00:31:16,080 Speaker 1: fifteen week old, they can respond to, you know, the 571 00:31:16,160 --> 00:31:19,040 Speaker 1: father's voice outside the wound because they can, you know, 572 00:31:19,080 --> 00:31:22,880 Speaker 1: just watch the heartbreak up. When again, if people are 573 00:31:22,920 --> 00:31:26,080 Speaker 1: given the information, the reality of what's happening you From 574 00:31:26,080 --> 00:31:29,400 Speaker 1: my standpoint, I think people collectively will decide to protect 575 00:31:29,480 --> 00:31:32,160 Speaker 1: life at a pretty early stage. I can't say exactly 576 00:31:32,240 --> 00:31:34,600 Speaker 1: when that would be. You know, I could make a 577 00:31:34,640 --> 00:31:37,479 Speaker 1: decision myself in terms where I think, but again, this 578 00:31:37,480 --> 00:31:40,000 Speaker 1: would be a collective decision and that's the appropriate way 579 00:31:40,000 --> 00:31:45,800 Speaker 1: to approach this. Speaking of Senator Ron Johnson of Wisconsin, Senator, 580 00:31:46,120 --> 00:31:49,280 Speaker 1: you're in a very important state in this for this 581 00:31:49,720 --> 00:31:51,800 Speaker 1: in general, of course we love Wisconsin, but in terms 582 00:31:51,840 --> 00:31:55,160 Speaker 1: of the mid terms, uh, it's it's a state that 583 00:31:55,240 --> 00:31:58,680 Speaker 1: will go with h Well, hopefully we'll go with the 584 00:31:58,720 --> 00:32:01,840 Speaker 1: GOP overall the mids and your race particularly is also 585 00:32:01,920 --> 00:32:04,640 Speaker 1: quite important. What are the independence you know, you're in 586 00:32:04,680 --> 00:32:08,040 Speaker 1: a swing state, what are the independence that you're hearing 587 00:32:08,120 --> 00:32:10,560 Speaker 1: from saying And I just want to get a sense 588 00:32:10,560 --> 00:32:14,280 Speaker 1: of essentially using your state as a bell weather for 589 00:32:14,440 --> 00:32:16,840 Speaker 1: how we're looking at this point going into the midterms. 590 00:32:16,840 --> 00:32:20,280 Speaker 1: What can you tell us, Well, they're concerned about the 591 00:32:20,320 --> 00:32:25,800 Speaker 1: main economic issues. I mean, inflation, record gasoline prices, rising 592 00:32:25,880 --> 00:32:29,560 Speaker 1: crime is certainly a concern, and you wouldn't think we're yeah, 593 00:32:29,600 --> 00:32:31,720 Speaker 1: we are at border state with Canadian border, but that's 594 00:32:31,760 --> 00:32:34,400 Speaker 1: not a real big problem. But they are highly concerned 595 00:32:34,400 --> 00:32:38,000 Speaker 1: about our completely out of control southern border. So those 596 00:32:38,000 --> 00:32:40,560 Speaker 1: are the issues they're concerned about. When it comes to 597 00:32:40,880 --> 00:32:44,680 Speaker 1: the abortion issue, it's pretty pretty well fifty fifty. If 598 00:32:44,680 --> 00:32:46,840 Speaker 1: you're a Republican, your pro life, if you're Democrat, your 599 00:32:46,960 --> 00:32:50,000 Speaker 1: pro choice and it's just never really come up. It'll 600 00:32:50,040 --> 00:32:52,400 Speaker 1: come up, I'm sure in this election, but I think 601 00:32:52,400 --> 00:32:54,720 Speaker 1: we'll sort things up. But it really is it's it's 602 00:32:54,760 --> 00:32:57,600 Speaker 1: the fact that their wage gains have been wiped out 603 00:32:58,000 --> 00:33:01,440 Speaker 1: by out of control depths and spending. Gasoline prices are 604 00:33:01,480 --> 00:33:04,760 Speaker 1: at record levels because of the Democrats. Warren fossil Fuel. 605 00:33:05,200 --> 00:33:07,480 Speaker 1: You know, it's my job to point out that all 606 00:33:07,480 --> 00:33:10,360 Speaker 1: these awful things that occurring our economy didn't just happen. 607 00:33:11,000 --> 00:33:15,480 Speaker 1: They're the direct result of Democrat policies and democratic governments. 608 00:33:15,560 --> 00:33:19,120 Speaker 1: This is what Democrat policies are designed to result in, 609 00:33:19,560 --> 00:33:23,320 Speaker 1: and people need to understand that. Senator Ron Johnson, sir, 610 00:33:23,680 --> 00:33:26,080 Speaker 1: thank you so much for joining us, and we'll talk 611 00:33:26,080 --> 00:33:30,520 Speaker 1: to you again soon. Stay well. Look, when your online 612 00:33:30,600 --> 00:33:32,880 Speaker 1: identity is stolen, you're in a world of hurt. 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Unless you're a LifeLock member, then you have 622 00:33:54,000 --> 00:33:58,120 Speaker 1: a strong fighting chance of being notified quickly when LifeLock 623 00:33:58,280 --> 00:34:01,880 Speaker 1: sees evidence of this happening on line. They monitor billions 624 00:34:01,880 --> 00:34:04,720 Speaker 1: of online transactions weekly looking for evidence that you've got 625 00:34:04,720 --> 00:34:07,400 Speaker 1: a problem. I've been a LifeLock member for years now, 626 00:34:07,440 --> 00:34:09,200 Speaker 1: and every time there's a threat, I hear from them, 627 00:34:09,200 --> 00:34:11,239 Speaker 1: I get an email, I get a text. They're that good. 628 00:34:11,680 --> 00:34:14,799 Speaker 1: It's important to understand how cybercrime and identity theft are 629 00:34:14,840 --> 00:34:17,680 Speaker 1: affecting our lives. Every day we put our information at 630 00:34:17,760 --> 00:34:20,200 Speaker 1: risk on the internet. 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No one can prevent 635 00:34:32,360 --> 00:34:35,200 Speaker 1: all identity theft or monitor all transactions at all businesses, 636 00:34:35,440 --> 00:34:38,200 Speaker 1: but you can help protect what's yours with LifeLock by Norton. 637 00:34:38,600 --> 00:34:40,799 Speaker 1: Join now and save twenty five percent off your first 638 00:34:40,840 --> 00:34:44,480 Speaker 1: year by using promo code Buck call one eight hundred 639 00:34:44,600 --> 00:34:47,040 Speaker 1: LifeLock or head to LifeLock dot com and use my 640 00:34:47,120 --> 00:34:51,279 Speaker 1: name Buck for twenty five percent off. That's LifeLock dot 641 00:34:51,360 --> 00:35:00,839 Speaker 1: com or call eight hundred LifeLock. Very easy. Welcome back 642 00:35:00,840 --> 00:35:04,000 Speaker 1: to Clay and Buck. We are joined by Dana Perino. 643 00:35:04,360 --> 00:35:07,240 Speaker 1: You all know her former White House Press secretary, host 644 00:35:07,320 --> 00:35:10,120 Speaker 1: of The Five and America's Newsroom on the Fox News Channel, 645 00:35:10,120 --> 00:35:13,279 Speaker 1: and New York Time's bestselling author. Her latest book is 646 00:35:13,920 --> 00:35:18,120 Speaker 1: Everything Will Be Okay and Dana, I guess I could 647 00:35:18,160 --> 00:35:20,759 Speaker 1: just start with that one because I don't know right 648 00:35:20,760 --> 00:35:23,040 Speaker 1: now with the Biden administration, it feels like a lot 649 00:35:23,040 --> 00:35:27,080 Speaker 1: of things might not be okay exactly. Let's why the 650 00:35:27,080 --> 00:35:29,279 Speaker 1: title hooks you in, because everybody wants to know is 651 00:35:29,760 --> 00:35:33,000 Speaker 1: she serious? But I am serious. Yes, I know that 652 00:35:33,080 --> 00:35:36,400 Speaker 1: it sometimes feels. I mean every day I wake up 653 00:35:36,400 --> 00:35:38,960 Speaker 1: and I think, surely they're going to get their act together, 654 00:35:39,120 --> 00:35:44,600 Speaker 1: and no, no, they don't. Dana, First of all, it's 655 00:35:44,600 --> 00:35:46,280 Speaker 1: great to have you on the show for the first time. 656 00:35:46,440 --> 00:35:50,400 Speaker 1: You came down to Nashville. Your book is fantastic. We 657 00:35:50,440 --> 00:35:52,000 Speaker 1: had a good time my wife and I did hanging 658 00:35:52,040 --> 00:35:53,880 Speaker 1: out with you and your husband some so you need 659 00:35:53,920 --> 00:35:57,520 Speaker 1: to come back to town soon. What has the experience 660 00:35:57,600 --> 00:36:03,040 Speaker 1: been for you? Like, because you have such great relationships 661 00:36:03,080 --> 00:36:05,520 Speaker 1: with people in the music industry as a part of 662 00:36:06,920 --> 00:36:10,080 Speaker 1: your job, what impresses you. You get to talk to 663 00:36:10,120 --> 00:36:12,560 Speaker 1: a lot of people on Fox News every day, but 664 00:36:12,719 --> 00:36:16,279 Speaker 1: that seems to also translate into the entertainment industry, particularly 665 00:36:16,360 --> 00:36:19,000 Speaker 1: with country music. What do you think the overlap is 666 00:36:19,000 --> 00:36:21,399 Speaker 1: between country music and Fox News and why are those 667 00:36:21,400 --> 00:36:26,440 Speaker 1: two groups so comfortable. It's a great question. Interestingly, I 668 00:36:26,480 --> 00:36:30,040 Speaker 1: started in radio. I was a country music DJ. I 669 00:36:30,080 --> 00:36:33,480 Speaker 1: had no idea, yeah, yeah, working I worked overnights for 670 00:36:33,600 --> 00:36:36,040 Speaker 1: minimum wage because back then, if you wanted to get 671 00:36:36,120 --> 00:36:39,200 Speaker 1: into television, you had to start in radio. So I thought, well, 672 00:36:39,239 --> 00:36:42,080 Speaker 1: I want to do my radio experience now during college. 673 00:36:42,120 --> 00:36:45,920 Speaker 1: So CACCY FM was gracious enough to let me give 674 00:36:45,960 --> 00:36:49,560 Speaker 1: it a try, and so I grew up with nineties 675 00:36:49,640 --> 00:36:53,479 Speaker 1: country and I love nineteen nineties countries so much. Then 676 00:36:53,920 --> 00:36:56,360 Speaker 1: I was at the White House for almost eight years, 677 00:36:56,560 --> 00:37:02,040 Speaker 1: I only listened to radio talk radio, everything from Rush 678 00:37:02,160 --> 00:37:06,479 Speaker 1: Limbaugh of course, to NPR because we were I relate. 679 00:37:06,880 --> 00:37:09,960 Speaker 1: I still believe that radio is king when it comes 680 00:37:09,960 --> 00:37:12,960 Speaker 1: to public communications. I think it's just absolutely critical. Of course, 681 00:37:13,000 --> 00:37:15,799 Speaker 1: cable news we agree as well, but I think talk 682 00:37:16,160 --> 00:37:18,480 Speaker 1: I know you do, but it really is true. If 683 00:37:18,520 --> 00:37:20,600 Speaker 1: you really want to make sure that people are hearing you, 684 00:37:20,440 --> 00:37:22,640 Speaker 1: and you and you, you two have found that you 685 00:37:22,719 --> 00:37:26,359 Speaker 1: have a deep connection with your audience. So I think 686 00:37:26,400 --> 00:37:30,760 Speaker 1: that with country music being so committed to the lyrics 687 00:37:30,800 --> 00:37:34,080 Speaker 1: and the story, that is one thing. And the other 688 00:37:34,120 --> 00:37:36,279 Speaker 1: thing is that you have a lot of people who 689 00:37:37,000 --> 00:37:41,600 Speaker 1: start off in very humble beginnings. A lot of people 690 00:37:41,640 --> 00:37:44,719 Speaker 1: go through a ton of disappointment in Nashville in particular. Right, 691 00:37:45,000 --> 00:37:47,080 Speaker 1: it's just you try and you try. I'm sure you've 692 00:37:47,080 --> 00:37:50,760 Speaker 1: met people who have written songs for seventeen years before 693 00:37:50,800 --> 00:37:53,960 Speaker 1: they actually get a hit. But there is magic in 694 00:37:54,000 --> 00:37:58,160 Speaker 1: the climb and in the stories of resilience. And I 695 00:37:58,200 --> 00:38:03,560 Speaker 1: also really admire how closely knit the country music industry is. 696 00:38:03,600 --> 00:38:05,680 Speaker 1: I know there are exceptions to the rule, but for 697 00:38:05,719 --> 00:38:08,279 Speaker 1: the most part, there's a lot of support. And I 698 00:38:08,320 --> 00:38:11,359 Speaker 1: feel the same way at Fox News. I really love 699 00:38:11,400 --> 00:38:14,399 Speaker 1: the team that we have and so I hope that 700 00:38:14,400 --> 00:38:18,600 Speaker 1: that transmits to our viewers and to their listeners. I 701 00:38:18,640 --> 00:38:22,600 Speaker 1: hope What do you think about the way the media 702 00:38:22,680 --> 00:38:26,320 Speaker 1: landscape may change here, Dana with I think just today 703 00:38:26,360 --> 00:38:29,160 Speaker 1: it was reported that Elon Musk is going to be 704 00:38:29,160 --> 00:38:33,240 Speaker 1: the interm CEO of Twitter. So that's that is moving along, 705 00:38:33,800 --> 00:38:35,839 Speaker 1: it feels like in a variety of ways. But that's 706 00:38:35,840 --> 00:38:39,200 Speaker 1: obviously on the social media front, but just the with 707 00:38:39,280 --> 00:38:42,879 Speaker 1: the rise of all these different digital digital platforms, Fox 708 00:38:43,040 --> 00:38:46,040 Speaker 1: Nation obviously among them, that things are changing and people 709 00:38:46,040 --> 00:38:49,560 Speaker 1: have also realized that left wing dominance of some of 710 00:38:49,560 --> 00:38:52,080 Speaker 1: these platforms. Not only is it, I think bad from 711 00:38:52,080 --> 00:38:55,000 Speaker 1: a content perspective, it could be bad for the country. 712 00:38:55,520 --> 00:38:58,200 Speaker 1: So are are you hopeful that we're going to head 713 00:38:58,239 --> 00:39:01,560 Speaker 1: into a better place in the near future in terms 714 00:39:01,600 --> 00:39:06,080 Speaker 1: of having more parody on the airwaves? I am hopeful. 715 00:39:06,600 --> 00:39:10,279 Speaker 1: I'm also cautious. I do remember when I was right 716 00:39:10,320 --> 00:39:13,880 Speaker 1: out Press secretary until the last day in two thousand 717 00:39:14,040 --> 00:39:17,080 Speaker 1: January two thousand and nine when President Obama was inaugurated, 718 00:39:17,440 --> 00:39:19,800 Speaker 1: And on that day I didn't even have a Twitter 719 00:39:19,840 --> 00:39:23,480 Speaker 1: account or a Facebook account. And that's how quickly from 720 00:39:23,480 --> 00:39:27,279 Speaker 1: two thousand and nine to now these platforms have just 721 00:39:27,440 --> 00:39:31,160 Speaker 1: grown so exponentially. I do think it's pretty interesting just 722 00:39:31,280 --> 00:39:35,359 Speaker 1: how few Americans are actually on Twitter, but a lot 723 00:39:35,360 --> 00:39:38,279 Speaker 1: of the media is on Twitter, and they're reinforcing each 724 00:39:38,320 --> 00:39:41,799 Speaker 1: other's viewpoints, and that is where I think it got 725 00:39:41,840 --> 00:39:44,360 Speaker 1: us into real trouble when I think the best example 726 00:39:44,480 --> 00:39:48,080 Speaker 1: is the suppression of the Hunter Biden laptop story. You 727 00:39:48,239 --> 00:39:50,120 Speaker 1: just look back now, I think, how could that possibly 728 00:39:50,120 --> 00:39:53,160 Speaker 1: have happened? And now that story is aggressively in the mainstream, 729 00:39:53,200 --> 00:39:56,279 Speaker 1: and the New York Times is having to quote the 730 00:39:56,360 --> 00:39:59,520 Speaker 1: New York Post, so that is changing a little bit. 731 00:39:59,560 --> 00:40:02,080 Speaker 1: I'm hope full of that Elon Musk can bring about 732 00:40:02,160 --> 00:40:06,799 Speaker 1: some change and at least maybe some sober mindedness, and well, 733 00:40:06,840 --> 00:40:09,040 Speaker 1: then we'll see, you know, how it goes. I'm also 734 00:40:09,320 --> 00:40:10,800 Speaker 1: one of the things I talked about in my book 735 00:40:10,840 --> 00:40:13,600 Speaker 1: is that social media can often be a drain on 736 00:40:13,680 --> 00:40:15,799 Speaker 1: your energy and it's not going to help you in 737 00:40:15,840 --> 00:40:19,680 Speaker 1: your career necessarily. So I'm encouraging young people to kind 738 00:40:19,680 --> 00:40:22,359 Speaker 1: of like a step back and be very mindful about 739 00:40:22,360 --> 00:40:26,120 Speaker 1: what they're posting, because your future boss cannot unsee that. 740 00:40:27,160 --> 00:40:29,040 Speaker 1: There's no doubt the book. By the way, we're talking 741 00:40:29,040 --> 00:40:32,240 Speaker 1: to Dana Perino. She's on the five. She's also America's 742 00:40:31,960 --> 00:40:35,120 Speaker 1: news room, you know, or from Fox News. Everything will 743 00:40:35,160 --> 00:40:37,359 Speaker 1: be okay. That's what I was going to ask you about, 744 00:40:37,520 --> 00:40:39,120 Speaker 1: is the eight years that you spend in the White House. 745 00:40:39,120 --> 00:40:42,279 Speaker 1: You're talking about the different ways that you consume media. 746 00:40:42,400 --> 00:40:44,480 Speaker 1: One of the biggest challenges I would imagine, whether you're 747 00:40:44,520 --> 00:40:48,440 Speaker 1: a Democrat, Republican, whoever you're serving, and whoever you're working 748 00:40:48,480 --> 00:40:52,120 Speaker 1: for an administration, is trying to figure out what matters 749 00:40:52,280 --> 00:40:54,560 Speaker 1: in a day where everything is kind of coming at 750 00:40:54,600 --> 00:40:57,840 Speaker 1: you in a fire hose effect. How much more difficult 751 00:40:57,880 --> 00:41:01,120 Speaker 1: do you think it is, no matter what job you 752 00:41:01,200 --> 00:41:04,880 Speaker 1: have in politics, to figure out what actually matters, what's 753 00:41:04,920 --> 00:41:08,279 Speaker 1: actually true, and how to manage your day on a 754 00:41:08,400 --> 00:41:10,319 Speaker 1: day to day basis today that it might have been 755 00:41:10,360 --> 00:41:14,200 Speaker 1: ten or twenty years ago. That's very interesting, and I 756 00:41:14,280 --> 00:41:16,600 Speaker 1: think a lot of it comes from the top. So 757 00:41:16,840 --> 00:41:20,280 Speaker 1: whoever that leader is, the commander in chief, that person 758 00:41:21,520 --> 00:41:24,320 Speaker 1: has instincts right, they got there for a reason. And 759 00:41:24,680 --> 00:41:27,960 Speaker 1: I would say I think that my boss, George W. Bush, 760 00:41:28,560 --> 00:41:30,040 Speaker 1: that was able to do that, and if he would 761 00:41:30,040 --> 00:41:31,920 Speaker 1: be able to say, all right, and we'll deal with this, 762 00:41:31,960 --> 00:41:33,880 Speaker 1: but no one's going to think about it in three weeks. 763 00:41:34,080 --> 00:41:35,640 Speaker 1: So he had his finger on the poll. And of 764 00:41:35,680 --> 00:41:38,200 Speaker 1: course you have advisors that tell you that President Trump 765 00:41:38,280 --> 00:41:41,719 Speaker 1: is very good at it because he knew. Now, I 766 00:41:41,800 --> 00:41:43,680 Speaker 1: don't think, and maybe this is just a little bit 767 00:41:43,719 --> 00:41:46,600 Speaker 1: of my own bias, I don't think that President Obama 768 00:41:46,719 --> 00:41:48,960 Speaker 1: or President Biden are very good at it at all, 769 00:41:49,640 --> 00:41:52,320 Speaker 1: because if they were, then they wouldn't have such dismal 770 00:41:52,360 --> 00:41:56,600 Speaker 1: polling numbers on the question that does President Biden care 771 00:41:56,600 --> 00:41:59,640 Speaker 1: about the issues I care about? His numbers on that 772 00:41:59,680 --> 00:42:03,360 Speaker 1: have been very low from the beginning. And so, for example, 773 00:42:03,760 --> 00:42:06,719 Speaker 1: everyone's talking about inflation. What did they spend three days 774 00:42:06,760 --> 00:42:10,600 Speaker 1: talking about this week? Student loaned it? And then Rob, wait, yeah, 775 00:42:10,640 --> 00:42:13,840 Speaker 1: they're not talking about inflation. They're avoiding it and avoiding 776 00:42:14,000 --> 00:42:16,359 Speaker 1: the issue that you know everybody is dealing with every 777 00:42:16,400 --> 00:42:19,280 Speaker 1: day because they're going to the grocery store, the restaurant, 778 00:42:19,560 --> 00:42:22,040 Speaker 1: they're filling up at the gas tank, and they're upset 779 00:42:22,040 --> 00:42:24,719 Speaker 1: about it, and they avoid that. And avoidance is not 780 00:42:24,800 --> 00:42:27,320 Speaker 1: a very good strategy, and it shows in their poll numbers. 781 00:42:27,880 --> 00:42:31,680 Speaker 1: We're speaking to Dana Perino, former White House Press secretary, 782 00:42:32,080 --> 00:42:35,120 Speaker 1: best selling author her new book Everything Will Be Okay. 783 00:42:35,160 --> 00:42:36,719 Speaker 1: I'm gonna to get a copy because I feel like 784 00:42:36,760 --> 00:42:38,520 Speaker 1: I go to bed every night thinking, oh my gosh, 785 00:42:38,560 --> 00:42:40,600 Speaker 1: what's the heck they're going to come to? These lives 786 00:42:40,600 --> 00:42:42,760 Speaker 1: are out of their minds. The Commies are running amuck, 787 00:42:43,160 --> 00:42:45,279 Speaker 1: but everything will be okay. Is her book you can 788 00:42:45,280 --> 00:42:48,359 Speaker 1: get on an Amazon. Dana. You are also, like me, 789 00:42:48,680 --> 00:42:54,480 Speaker 1: a dog lover and you is it as I want 790 00:42:54,520 --> 00:42:56,279 Speaker 1: to say, It's not a Wimern or is it a 791 00:42:56,280 --> 00:42:58,120 Speaker 1: wimer On or what kind of dog do you have? 792 00:42:58,760 --> 00:43:02,680 Speaker 1: It's a cousin to the er. It's a very inversion. 793 00:43:02,719 --> 00:43:04,920 Speaker 1: So see, I'm always fascinated with this because like my family, 794 00:43:05,440 --> 00:43:07,040 Speaker 1: we have a French bulldog. I grew up with a 795 00:43:07,080 --> 00:43:10,120 Speaker 1: Boston Terrier. These are very, very common breeds. How did 796 00:43:10,160 --> 00:43:13,120 Speaker 1: you come upon because I'd say probably like eighty to 797 00:43:13,160 --> 00:43:15,279 Speaker 1: ninety percent of our audience has a dog. I would 798 00:43:15,280 --> 00:43:17,279 Speaker 1: just throw that out there. I guess how'd you come 799 00:43:17,360 --> 00:43:19,799 Speaker 1: upon Vishla as the choice. I'm just curious. I've always 800 00:43:19,840 --> 00:43:23,000 Speaker 1: wanted to ask you this, and now I'm taking my chance. Well, 801 00:43:23,040 --> 00:43:25,040 Speaker 1: it's a great story. So I met my husband on 802 00:43:25,080 --> 00:43:28,440 Speaker 1: an airplane. He's eighteen years older than me and British 803 00:43:28,480 --> 00:43:30,040 Speaker 1: and I lived in DC at the time and he 804 00:43:30,120 --> 00:43:32,600 Speaker 1: was in England. We fell in love on the plane. 805 00:43:32,640 --> 00:43:34,080 Speaker 1: Believe it or not. It is true that I I was 806 00:43:34,080 --> 00:43:37,239 Speaker 1: twenty five years ago and I moved to England and 807 00:43:37,360 --> 00:43:40,480 Speaker 1: he wanted we both wanted a dog. He wanted to 808 00:43:40,480 --> 00:43:43,200 Speaker 1: get a black Lab, and I sort of cringed that, 809 00:43:43,440 --> 00:43:46,800 Speaker 1: you know, having to clean up all the shedding of 810 00:43:46,840 --> 00:43:49,400 Speaker 1: a black lab, even though I love all dogs. And 811 00:43:49,560 --> 00:43:51,719 Speaker 1: I really wanted a Vimer on him because I love 812 00:43:51,800 --> 00:43:56,080 Speaker 1: those William Wegman's photographs. If you remember, they were in 813 00:43:56,160 --> 00:43:58,400 Speaker 1: all the calendars and there were books about them and 814 00:43:58,520 --> 00:44:01,879 Speaker 1: greeting cards. So we just we're in a hurry. And 815 00:44:02,160 --> 00:44:04,520 Speaker 1: we happened to be in Switzerland and Peter had to 816 00:44:04,600 --> 00:44:07,040 Speaker 1: visit a client. I got to go with them and 817 00:44:07,160 --> 00:44:10,839 Speaker 1: we arrived and there was a three month old Vishla 818 00:44:11,040 --> 00:44:13,400 Speaker 1: and then an eight year old Bishla and a twelve 819 00:44:13,440 --> 00:44:15,279 Speaker 1: year old Bishla. So it was like we saw the 820 00:44:15,320 --> 00:44:17,799 Speaker 1: progression of what a Vishla would look like. And they're 821 00:44:17,840 --> 00:44:22,440 Speaker 1: extremely affectionate and athletic, which I really like, and we 822 00:44:22,600 --> 00:44:26,320 Speaker 1: only have one code of first, so they're quite sleek looking. 823 00:44:26,880 --> 00:44:28,960 Speaker 1: And that was it, you know, we fell in love 824 00:44:28,960 --> 00:44:32,319 Speaker 1: with the breed, and so we have now Percy. He's 825 00:44:32,320 --> 00:44:35,560 Speaker 1: our third my that's funny. My brother's dog is named Percy. 826 00:44:35,840 --> 00:44:38,720 Speaker 1: M he's got a Pomeranian. Should Clay get a Vishla 827 00:44:38,760 --> 00:44:43,000 Speaker 1: for the boys? Data? Oh you know, I'm well, wait, play, 828 00:44:43,040 --> 00:44:45,520 Speaker 1: what kind of dog do you have? Cat? Well? Yeah, 829 00:44:45,520 --> 00:44:49,279 Speaker 1: this is this is a subject, Dana. We've got We've 830 00:44:49,320 --> 00:44:53,480 Speaker 1: got two Bengal cats, which are non shedding cats. My 831 00:44:53,520 --> 00:44:55,960 Speaker 1: wife is a huge cat person. And I don't I 832 00:44:55,960 --> 00:44:57,920 Speaker 1: don't think I told you this, Danta. But during the 833 00:44:58,400 --> 00:45:00,960 Speaker 1: shutdown and everything else, when they kids were out of school, 834 00:45:01,440 --> 00:45:04,359 Speaker 1: Laura assigned them my wife one day to give me 835 00:45:04,440 --> 00:45:07,800 Speaker 1: a persuasive speech on why we had to get cats. 836 00:45:08,040 --> 00:45:12,160 Speaker 1: So my you know, then kindergartener, my fourth grader, and 837 00:45:12,239 --> 00:45:15,080 Speaker 1: my seventh grader, all one after the other, made a 838 00:45:15,120 --> 00:45:17,200 Speaker 1: speech on why we had to get cats. And by 839 00:45:17,200 --> 00:45:20,319 Speaker 1: the end of their persuasive speech, Dad had been outvoted. 840 00:45:20,360 --> 00:45:23,000 Speaker 1: And so we have two cats, and do you want 841 00:45:23,000 --> 00:45:27,319 Speaker 1: a dog? Uh? Look, I've got three kids, Dana. I 842 00:45:27,360 --> 00:45:30,880 Speaker 1: feel like they are like playing They're they're like dogs 843 00:45:30,920 --> 00:45:33,799 Speaker 1: time ten in terms of the mess that they make. Yeah, 844 00:45:34,040 --> 00:45:36,800 Speaker 1: And you know the thing is, as we get closer 845 00:45:36,840 --> 00:45:39,600 Speaker 1: to Mother's Day, the boys don't get blamed for the 846 00:45:39,719 --> 00:45:42,880 Speaker 1: messes as often as the dad does it seems you know, 847 00:45:43,040 --> 00:45:44,960 Speaker 1: the apple may not fall far from the tree. But 848 00:45:45,239 --> 00:45:47,440 Speaker 1: but so our house is kind of chaotic at times. 849 00:45:48,120 --> 00:45:51,840 Speaker 1: I just have a I have a saying that I 850 00:45:51,920 --> 00:45:55,000 Speaker 1: made up that a boy needs a dog and a 851 00:45:55,040 --> 00:45:58,360 Speaker 1: dog needs a boy, but that in particular for boys 852 00:45:58,480 --> 00:46:01,600 Speaker 1: growing up with dogs, there's something about that companionship and 853 00:46:01,880 --> 00:46:06,040 Speaker 1: learning of the responsibility, and also they become more compassionate people. 854 00:46:06,640 --> 00:46:09,640 Speaker 1: I think it's probably my own theory. It could be 855 00:46:09,680 --> 00:46:14,520 Speaker 1: a Vishla puppy in the Travis household. That's future Uncle 856 00:46:14,520 --> 00:46:17,279 Speaker 1: Buck's gonna show up with the dog something. Yeah, you 857 00:46:17,320 --> 00:46:19,919 Speaker 1: think you're getting the steak. If hundred Biden gets indicted, Clay, 858 00:46:19,920 --> 00:46:22,200 Speaker 1: You're getting a Vishla puppy, buddy. That's how we're gonna 859 00:46:22,239 --> 00:46:24,399 Speaker 1: do this, Dana. By the way, Dana, I was gonna 860 00:46:24,400 --> 00:46:25,879 Speaker 1: say sorry to cut you off, Buck, but I wanted 861 00:46:25,920 --> 00:46:28,759 Speaker 1: to mention this for you, Dana reads sports needs to 862 00:46:28,800 --> 00:46:31,479 Speaker 1: be a regular part of you and Bill Himmers show. 863 00:46:31,560 --> 00:46:34,600 Speaker 1: By the way, I saw the clip recently of you 864 00:46:34,719 --> 00:46:38,280 Speaker 1: reading sports headlines, and I gotta tell you that is gold, 865 00:46:38,440 --> 00:46:40,440 Speaker 1: and you guys need to break it in as often 866 00:46:40,480 --> 00:46:43,200 Speaker 1: as you can into the repertoire. I will let the 867 00:46:43,680 --> 00:46:46,600 Speaker 1: producer know. The reason it started is because every bill 868 00:46:46,719 --> 00:46:49,680 Speaker 1: is very good at reading sports. But after about six 869 00:46:49,719 --> 00:46:51,640 Speaker 1: months of us working together, at one point I said, 870 00:46:51,800 --> 00:46:54,480 Speaker 1: you know, guys, I would love a shot at reading sports. 871 00:46:54,520 --> 00:46:58,200 Speaker 1: And it became this hilarious thing. And I don't pretend 872 00:46:58,200 --> 00:47:00,200 Speaker 1: to know what I'm doing, but I really try to 873 00:47:00,200 --> 00:47:05,000 Speaker 1: give it my all. Yeah, noticing the book is It's 874 00:47:05,040 --> 00:47:07,239 Speaker 1: all gonna be all right. Everything will be all right. 875 00:47:07,400 --> 00:47:09,560 Speaker 1: Dana Purno is the author. Go check it out. Dana, 876 00:47:09,560 --> 00:47:11,120 Speaker 1: thanks so much for hanging out with us. Great to 877 00:47:11,160 --> 00:47:14,200 Speaker 1: have you on. Congratulations to the two of you as well, 878 00:47:14,560 --> 00:47:19,440 Speaker 1: Thank you, thank you. My pillow is long past making 879 00:47:19,440 --> 00:47:21,799 Speaker 1: their signature product that started at all. They've got a 880 00:47:21,880 --> 00:47:25,640 Speaker 1: whole array of products, amazing stuff. Products like their pillows, 881 00:47:25,680 --> 00:47:29,399 Speaker 1: of course, but also the towel sets, the slippers, the ropes, 882 00:47:29,440 --> 00:47:31,600 Speaker 1: the mattressoppers. I was just talking to Clay right before 883 00:47:31,600 --> 00:47:34,560 Speaker 1: our last commercial break. I'm wearing my my slippers and 884 00:47:34,600 --> 00:47:37,320 Speaker 1: he goes, oh, well, my wife wears her my slippers 885 00:47:37,400 --> 00:47:40,360 Speaker 1: all the time, plays everywhere I go in going outdoor. 886 00:47:40,400 --> 00:47:43,040 Speaker 1: Than They're amazing, And I sleep on my pillow every night. 887 00:47:43,080 --> 00:47:44,920 Speaker 1: I've got the Geeza dream Sheets on my bed. Clay's 888 00:47:44,920 --> 00:47:47,440 Speaker 1: got Geeza Dreams sheets on the beds for his three boys. 889 00:47:47,880 --> 00:47:50,759 Speaker 1: So join us. Okay, there are millions of Americans who 890 00:47:50,840 --> 00:47:54,120 Speaker 1: love their My Pillow gear. 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