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 --> 00:00:08,039 Speaker 1: Sexton Show podcast. Welcome back in final hour Wednesday edition 3 00:00:08,240 --> 00:00:11,520 Speaker 1: of the program. Encourage all of you out there go 4 00:00:11,680 --> 00:00:16,120 Speaker 1: subscribe Clay Travis buck Sexton Show podcast. Tens of millions 5 00:00:16,120 --> 00:00:20,680 Speaker 1: of downloads a month, plots of original cool content that 6 00:00:20,720 --> 00:00:23,440 Speaker 1: you cannot find elsewhere. You can search out my name 7 00:00:23,480 --> 00:00:26,680 Speaker 1: Clay Travis, you can search out buck Sexton. Can just 8 00:00:26,720 --> 00:00:28,520 Speaker 1: give a little teasier to Clay. Because I did speak 9 00:00:28,520 --> 00:00:30,600 Speaker 1: to Mary Catherine Hamm, who's in her last week at 10 00:00:30,680 --> 00:00:34,360 Speaker 1: CNN after many years there about the Don Lemon fiasco, 11 00:00:34,640 --> 00:00:37,640 Speaker 1: about the implosion of CNN. We went on for about 12 00:00:37,680 --> 00:00:40,920 Speaker 1: an hour. Was fascinating. She a little tease you here. 13 00:00:41,280 --> 00:00:46,680 Speaker 1: She was suspended almost as long as Jeffrey Tubin. We 14 00:00:46,760 --> 00:00:51,159 Speaker 1: all remember what Jeffrey Tubin did for making fun of 15 00:00:51,320 --> 00:00:56,520 Speaker 1: Jeffrey Tubin. Yeah, CNN's a mess and Mary Catherine ham 16 00:00:56,640 --> 00:01:00,360 Speaker 1: is fantastic. So let's subscribe the podcast. Moral of the story, Yes, 17 00:01:00,920 --> 00:01:03,680 Speaker 1: brand new baby. I believe that she is, that she 18 00:01:03,840 --> 00:01:07,640 Speaker 1: is dealing with she is figuring out what she's gonna 19 00:01:07,680 --> 00:01:09,520 Speaker 1: do in media. And every now and then I get 20 00:01:09,520 --> 00:01:12,679 Speaker 1: a text and you can always tell when you have 21 00:01:12,800 --> 00:01:15,840 Speaker 1: a new mom and having been through this three times, 22 00:01:16,480 --> 00:01:20,039 Speaker 1: you're up at all these crazy hours. So every now 23 00:01:20,040 --> 00:01:21,680 Speaker 1: and then I just get a text from her at 24 00:01:21,720 --> 00:01:23,880 Speaker 1: like three to thirty, and it's not because she's just 25 00:01:23,920 --> 00:01:27,040 Speaker 1: coming home from the bar. It's because baby's hungry and 26 00:01:27,160 --> 00:01:31,160 Speaker 1: suddenly like you're trying to catch up. I remember those days, Buck. 27 00:01:31,240 --> 00:01:33,399 Speaker 1: You will go through them, I bet at some point, 28 00:01:33,640 --> 00:01:37,800 Speaker 1: and you will have so much respect for the women 29 00:01:37,840 --> 00:01:40,640 Speaker 1: in your lives. That is, women who can have babies 30 00:01:41,480 --> 00:01:45,039 Speaker 1: and what they do, not pregnant people, what they do 31 00:01:45,200 --> 00:01:49,840 Speaker 1: in those early months of the baby's lives, when they're 32 00:01:49,880 --> 00:01:52,040 Speaker 1: basically you don't know what time it is, you don't 33 00:01:52,080 --> 00:01:54,200 Speaker 1: know what day it is, you don't know what month 34 00:01:54,280 --> 00:01:57,520 Speaker 1: it is. It is pure chaos for those first several 35 00:01:57,560 --> 00:02:02,120 Speaker 1: months of any newborn. And so she is fantastic, and 36 00:02:02,200 --> 00:02:07,000 Speaker 1: congratulations to her on that new baby. Donald Trump on 37 00:02:07,120 --> 00:02:11,440 Speaker 1: his way right now to East Palestine, Ohio, where we 38 00:02:11,480 --> 00:02:13,560 Speaker 1: have spent We talked about this a lot. Last week. 39 00:02:13,560 --> 00:02:16,880 Speaker 1: We had the congressman on. We had I think on Monday, Ali, 40 00:02:16,960 --> 00:02:18,880 Speaker 1: you can correct me if I'm wrong. The state senator 41 00:02:18,919 --> 00:02:22,280 Speaker 1: who represents East Palestine called into the show, and so 42 00:02:22,320 --> 00:02:25,519 Speaker 1: we have had a lot of different people reporting from 43 00:02:25,560 --> 00:02:28,359 Speaker 1: this community and letting us know what exactly is going 44 00:02:28,400 --> 00:02:34,000 Speaker 1: on there. To me, Buck, the disconnect between Joe Biden 45 00:02:34,120 --> 00:02:38,360 Speaker 1: and his focus on Europe and on Ukraine and Donald 46 00:02:38,360 --> 00:02:42,480 Speaker 1: Trump today going on Trump Force one flying to East 47 00:02:42,480 --> 00:02:46,399 Speaker 1: Palestine bringing the media coverage that he will to this 48 00:02:46,720 --> 00:02:51,280 Speaker 1: location is a tremendous win for him in what Let's 49 00:02:51,320 --> 00:02:53,680 Speaker 1: be honest, you were talking earlier about the fact twenty 50 00:02:53,760 --> 00:02:56,560 Speaker 1: twenty four gonna be close. They put Fetterman in office. 51 00:02:56,600 --> 00:02:57,600 Speaker 1: There are a lot of people who are going to 52 00:02:57,720 --> 00:03:00,720 Speaker 1: vote for Biden, even if he's incompetent, dementia addled and 53 00:03:00,800 --> 00:03:04,760 Speaker 1: cannot do the job. The election, By and large, I 54 00:03:04,840 --> 00:03:08,000 Speaker 1: understand there's people listening all over the country. We know 55 00:03:08,080 --> 00:03:10,760 Speaker 1: that twenty twenty four probably is going to come down 56 00:03:10,800 --> 00:03:14,639 Speaker 1: to what a bunch of Big ten fans do in 57 00:03:14,680 --> 00:03:18,920 Speaker 1: the Midwest states, What happens in Pennsylvania, what happens in Michigan, 58 00:03:18,960 --> 00:03:22,280 Speaker 1: what happens in Wisconsin. Ohio has flipped. It used to 59 00:03:22,280 --> 00:03:25,360 Speaker 1: be the major battle ground those three states that I 60 00:03:25,440 --> 00:03:27,680 Speaker 1: just named. Basically, you tell me what happens there, I'll 61 00:03:27,680 --> 00:03:30,040 Speaker 1: tell you who's going to win the election. Here's why 62 00:03:30,080 --> 00:03:34,520 Speaker 1: I think this is such a strong move from Trump. 63 00:03:34,800 --> 00:03:38,440 Speaker 1: Let's just take for granted it's the right move just 64 00:03:38,520 --> 00:03:43,360 Speaker 1: on a human ethical leadership level, I think to go 65 00:03:43,480 --> 00:03:48,440 Speaker 1: and express solidarity with the people in East Palestine who 66 00:03:48,480 --> 00:03:51,920 Speaker 1: are affected, who have been affected by this. But now 67 00:03:52,000 --> 00:03:58,760 Speaker 1: from a political optics perspective, Donald Trump part of what 68 00:03:58,840 --> 00:04:03,040 Speaker 1: was so special about his twenty sixteen campaign, and I 69 00:04:03,080 --> 00:04:06,160 Speaker 1: think we really have to look back at what went 70 00:04:06,320 --> 00:04:09,040 Speaker 1: right there if we're talking about what could go what 71 00:04:09,200 --> 00:04:12,600 Speaker 1: should and could go right? For Trump again, now it 72 00:04:12,720 --> 00:04:15,720 Speaker 1: was speaking for the forgotten men and women of America. 73 00:04:16,080 --> 00:04:18,560 Speaker 1: It was and this was the amazing thing, right because 74 00:04:18,560 --> 00:04:23,040 Speaker 1: this guy, this billionaire who's you know, TV superstars names. Though. 75 00:04:23,040 --> 00:04:25,080 Speaker 1: I mean, I grew up seeing the Trump buildings all 76 00:04:25,120 --> 00:04:27,040 Speaker 1: around in New York City, and I grew up a 77 00:04:27,040 --> 00:04:29,160 Speaker 1: few blocks on one of the Trump buildings. And you know, 78 00:04:29,640 --> 00:04:33,440 Speaker 1: but somehow Donald Trump, when not only he would speak 79 00:04:33,480 --> 00:04:37,000 Speaker 1: to over a microphone, but when he would speak in 80 00:04:37,080 --> 00:04:43,320 Speaker 1: person to steel workers, construction workers, you know, hourly wage 81 00:04:43,360 --> 00:04:47,520 Speaker 1: individuals all in communities that feel left behind and forgotten, 82 00:04:48,240 --> 00:04:50,359 Speaker 1: they felt the connection and they felt the sense that 83 00:04:50,400 --> 00:04:54,080 Speaker 1: Donald Trump actually wants to help. He's not pretending what 84 00:04:54,200 --> 00:04:56,919 Speaker 1: Joe Biden does. Oh, I'm just like you. I'm scrant 85 00:04:57,000 --> 00:05:00,080 Speaker 1: No no, no no. Trump doesn't say I am a 86 00:05:00,160 --> 00:05:05,920 Speaker 1: steelworker from western Pennsylvania. Trump says, I respect the hard 87 00:05:05,960 --> 00:05:08,279 Speaker 1: work that you do, and I think it's wrong that 88 00:05:08,320 --> 00:05:10,480 Speaker 1: the country that you love and have helped build has 89 00:05:10,520 --> 00:05:15,360 Speaker 1: left you behind. And if he can recapture some of that, 90 00:05:15,560 --> 00:05:20,120 Speaker 1: I think that's a big part of his sweet spot. Politically, 91 00:05:20,920 --> 00:05:24,600 Speaker 1: I think it's necessary for any Republican candidate to your 92 00:05:24,600 --> 00:05:28,880 Speaker 1: point about who's going to determine the next election? White 93 00:05:28,880 --> 00:05:32,960 Speaker 1: working class voters in these swing states as a demographic 94 00:05:33,520 --> 00:05:37,000 Speaker 1: will be incredibly Yeah, they'll be suburban moms. Yeah, they'll 95 00:05:37,040 --> 00:05:39,240 Speaker 1: be the Hispanic vote. There'll be different votes that are 96 00:05:39,320 --> 00:05:41,839 Speaker 1: up for grab at some level. But what's most likely 97 00:05:41,880 --> 00:05:45,280 Speaker 1: determined to determine Michigan, Pennsylvania, the states that you've laid out. 98 00:05:45,320 --> 00:05:47,160 Speaker 1: Everyone knows what these states are now because we've been 99 00:05:47,200 --> 00:05:50,200 Speaker 1: so focused on them for years. It's gonna be can 100 00:05:50,760 --> 00:05:55,800 Speaker 1: a candidate like Trump reach out and connect with the 101 00:05:55,920 --> 00:05:58,479 Speaker 1: voters who are like the people, even if they're not 102 00:05:58,560 --> 00:06:02,080 Speaker 1: in these palestine who feel like they do right now 103 00:06:02,160 --> 00:06:07,359 Speaker 1: on a whole range of issues that's right, and the 104 00:06:07,560 --> 00:06:10,720 Speaker 1: Biden administration. And I'm thinking a lot about this, Buck 105 00:06:10,800 --> 00:06:13,880 Speaker 1: because my book I've been working on so much has 106 00:06:13,920 --> 00:06:17,800 Speaker 1: been as the entire Democrat Party has been captured by 107 00:06:17,880 --> 00:06:22,280 Speaker 1: woke white people. That is who the Democrats want to 108 00:06:22,320 --> 00:06:25,200 Speaker 1: make sure that they keep happy every single day. And 109 00:06:25,279 --> 00:06:27,760 Speaker 1: the person, you know, the politician who woke white people 110 00:06:27,880 --> 00:06:31,479 Speaker 1: love more than anybody else, Mayor Pete. He is the 111 00:06:31,640 --> 00:06:36,960 Speaker 1: candidate of the woke white community. As we were joking yesterday, 112 00:06:37,040 --> 00:06:41,200 Speaker 1: but Babylon b great headline Mayor Pete reminds everybody he's gay. 113 00:06:41,720 --> 00:06:45,520 Speaker 1: They love the idea of Mayor Pete as their identity 114 00:06:45,560 --> 00:06:49,800 Speaker 1: politics candidate being a gay guy. This is the modern family. 115 00:06:51,120 --> 00:06:56,919 Speaker 1: You know, the candidate right. And when you listen to 116 00:06:57,160 --> 00:07:01,120 Speaker 1: this little snippet of an interview day le caller reporter 117 00:07:01,920 --> 00:07:05,920 Speaker 1: catches Mayor Pete out walking in the street and he 118 00:07:06,000 --> 00:07:09,559 Speaker 1: will basically not interact with her, and then he ends 119 00:07:09,720 --> 00:07:12,000 Speaker 1: the interview by saying that he needs to take a 120 00:07:12,000 --> 00:07:16,600 Speaker 1: photo of her, which is super creepy, strange behavior. I 121 00:07:16,640 --> 00:07:18,520 Speaker 1: want to make sure that I get her name right, 122 00:07:18,600 --> 00:07:21,280 Speaker 1: and I'll give you her name, but first I want 123 00:07:21,320 --> 00:07:24,400 Speaker 1: to play this audio for you. What do you have 124 00:07:24,440 --> 00:07:28,520 Speaker 1: to say to the folks in Ohio East Palestine who 125 00:07:28,520 --> 00:07:31,720 Speaker 1: are suffering right now? But I refreed about a dozen 126 00:07:31,760 --> 00:07:35,120 Speaker 1: interviews I've given today, and if she'd like to arrange 127 00:07:35,240 --> 00:07:42,680 Speaker 1: a conversation, that conversation for them, I do, and I 128 00:07:42,720 --> 00:07:44,720 Speaker 1: showed it with the press many times today. I refree 129 00:07:44,800 --> 00:07:47,400 Speaker 1: to those comments. Can I cheering out with us? No, 130 00:07:47,400 --> 00:07:49,080 Speaker 1: I'm gonna refree to the comments that I'm into the 131 00:07:49,080 --> 00:07:52,080 Speaker 1: press because right now I'm taking some personal time. I'm 132 00:07:52,080 --> 00:07:54,520 Speaker 1: walking down the street. Are you going down there? What's up? 133 00:07:54,560 --> 00:07:58,800 Speaker 1: Are you going down there at all? Um? Yea? When 134 00:07:58,840 --> 00:08:07,320 Speaker 1: are you going? Yeah? Can I get a photo of you? 135 00:08:07,440 --> 00:08:09,120 Speaker 1: He asked there at the end. Buck. And by the way, 136 00:08:09,120 --> 00:08:14,000 Speaker 1: that reporter's named Jenny Tear, good job Daily Caller. When 137 00:08:14,040 --> 00:08:18,080 Speaker 1: you hear this, your reaction is what, Well, she's being 138 00:08:18,280 --> 00:08:22,920 Speaker 1: entirely respectful, because look, we just we're consistent, right. You 139 00:08:22,960 --> 00:08:25,800 Speaker 1: don't have to give interviews to anybody. That's the reality. 140 00:08:25,920 --> 00:08:28,600 Speaker 1: And if we're saying our side, shouldn't you know, shouldn't 141 00:08:28,640 --> 00:08:31,200 Speaker 1: just keep showing up NBC News keep punching me in 142 00:08:31,240 --> 00:08:34,720 Speaker 1: the face, you know? No, it's fine for people Buddhaja. 143 00:08:34,800 --> 00:08:36,480 Speaker 1: If he doesn't want it to stop and do a 144 00:08:36,520 --> 00:08:39,000 Speaker 1: stop and talk or kind of on the fly interview, 145 00:08:39,000 --> 00:08:42,240 Speaker 1: that's that's fine. But she's being entirely there's nothing in 146 00:08:42,280 --> 00:08:45,320 Speaker 1: her questioning that is out of bounds. Are unfair? Um, 147 00:08:46,200 --> 00:08:48,760 Speaker 1: it was why did he ask for a photo of her? Though? 148 00:08:48,760 --> 00:08:50,559 Speaker 1: At the end, what did you make of that? What 149 00:08:50,920 --> 00:08:56,440 Speaker 1: was that all about? It's such a good question why 150 00:08:56,559 --> 00:08:58,920 Speaker 1: he was asking the photo, because I think that turned 151 00:08:58,960 --> 00:09:02,920 Speaker 1: what was Otherwise he's kind of a at a clear 152 00:09:02,960 --> 00:09:06,120 Speaker 1: attempt to avoid talking to the press as he's walking 153 00:09:06,760 --> 00:09:09,520 Speaker 1: to a It felt like a threat to me. And 154 00:09:09,920 --> 00:09:12,840 Speaker 1: or he's taking that photo to send to someone in 155 00:09:12,960 --> 00:09:16,199 Speaker 1: his office and say who is this person? Let's make 156 00:09:16,200 --> 00:09:21,160 Speaker 1: sure there are consequence lots for this behavior from me. Yeah, yes, 157 00:09:21,280 --> 00:09:23,760 Speaker 1: for sure. Do you remember do you remember when but 158 00:09:23,960 --> 00:09:27,079 Speaker 1: Jim Acosta lost his hard pass to the White House? 159 00:09:27,440 --> 00:09:30,880 Speaker 1: Or I think it was a day or two and 160 00:09:31,520 --> 00:09:34,440 Speaker 1: the journalists of America or the weeping of the nashing 161 00:09:34,559 --> 00:09:37,200 Speaker 1: of teeth, the rending of garments in the streets. Oh 162 00:09:37,280 --> 00:09:40,520 Speaker 1: my god, Jim Acosta had to check in like a 163 00:09:40,880 --> 00:09:45,160 Speaker 1: like a peasant at the White House visitor's kiosk Oh 164 00:09:45,200 --> 00:09:47,040 Speaker 1: my gosh, he didn't just get to waltz in like 165 00:09:47,080 --> 00:09:50,040 Speaker 1: the other one. I mean, it's amazing, is it. I 166 00:09:50,160 --> 00:09:53,280 Speaker 1: also don't feel bad. I understand in general, if you're 167 00:09:53,320 --> 00:09:55,839 Speaker 1: a public figure, you may not want to be interviewed 168 00:09:55,880 --> 00:10:00,760 Speaker 1: wherever you're going. But in this particular situation where many 169 00:10:00,880 --> 00:10:04,640 Speaker 1: in the media are totally avoiding ever asking mayor Pete 170 00:10:04,640 --> 00:10:08,760 Speaker 1: about East Palestine in general, and there is basically nothing 171 00:10:08,800 --> 00:10:12,160 Speaker 1: that's being done on behalf of these people, I actually 172 00:10:12,160 --> 00:10:16,160 Speaker 1: think Jenny Tare at the Daily Caller is doing the 173 00:10:16,200 --> 00:10:20,240 Speaker 1: work that journalists are supposed to do, which is hold 174 00:10:20,320 --> 00:10:24,520 Speaker 1: people in positions of power accountable for not taking care 175 00:10:24,640 --> 00:10:28,520 Speaker 1: of constituents that don't have the same power. Right, That's 176 00:10:28,520 --> 00:10:33,720 Speaker 1: what we want, objectively journalists to do is get information 177 00:10:33,840 --> 00:10:37,960 Speaker 1: and hold people accountable for ignoring the people that they 178 00:10:38,000 --> 00:10:43,240 Speaker 1: are representing. Well. Also, any attention that is paid to 179 00:10:43,360 --> 00:10:49,600 Speaker 1: the people of East Palestine is inherently problematic for the 180 00:10:49,640 --> 00:10:56,240 Speaker 1: Biden administration because Biden's Biden's base, Biden's real base, the 181 00:10:56,640 --> 00:11:03,000 Speaker 1: coastal blue state elites. Um, they don't care. They're they're 182 00:11:03,000 --> 00:11:05,400 Speaker 1: not looking at this issue. This, this doesn't get high 183 00:11:05,400 --> 00:11:08,640 Speaker 1: on their radar. There's no virtue signaling points for them. 184 00:11:08,760 --> 00:11:12,920 Speaker 1: They're not you know, putting up some kind of symbol 185 00:11:13,000 --> 00:11:16,000 Speaker 1: of solidarity all over the place on their Facebook profiles. 186 00:11:16,040 --> 00:11:18,600 Speaker 1: You know, there's no there's no black square, there's no 187 00:11:19,080 --> 00:11:23,000 Speaker 1: Ukraine ribbon or you know, Ukraine flag or whatever. Um. 188 00:11:23,200 --> 00:11:26,880 Speaker 1: So they're they're not interested in this in any meaningful 189 00:11:26,920 --> 00:11:30,880 Speaker 1: way politically, and that's why reminding everybody of that, I 190 00:11:30,920 --> 00:11:34,319 Speaker 1: think is important. Why is this? I mean, we have 191 00:11:34,360 --> 00:11:39,480 Speaker 1: an administration that that prattles on endlessly about the environment 192 00:11:39,600 --> 00:11:40,920 Speaker 1: and we need to you know, we need to do 193 00:11:40,960 --> 00:11:43,880 Speaker 1: more environmental stuff and we need to get rid of 194 00:11:43,920 --> 00:11:46,760 Speaker 1: the CO two in the air. Okay, if you're so 195 00:11:46,880 --> 00:11:50,200 Speaker 1: worried about CO two emissions, shouldn't you be more worried 196 00:11:50,240 --> 00:11:56,559 Speaker 1: about a massive, uh hazardous waste explosion in in an area? 197 00:11:56,640 --> 00:11:59,360 Speaker 1: You know, what do they really know about this? And 198 00:11:59,679 --> 00:12:02,400 Speaker 1: what are they really telling us? Also, they don't have 199 00:12:02,440 --> 00:12:06,000 Speaker 1: the right to say trust us, No, we don't trust them. 200 00:12:06,200 --> 00:12:07,679 Speaker 1: I mean, there's the same people that we think are 201 00:12:07,679 --> 00:12:12,680 Speaker 1: shooting balloons out of the sky thinking they're UFOs. Well, 202 00:12:12,720 --> 00:12:15,400 Speaker 1: I think it's one of the unfortunate legacies of there 203 00:12:15,440 --> 00:12:19,280 Speaker 1: being no consequences from COVID. Frankly, Buck, because if you 204 00:12:19,480 --> 00:12:22,480 Speaker 1: lectured me for years about how I had to listen 205 00:12:22,520 --> 00:12:25,400 Speaker 1: to you and your public health authorities or me and 206 00:12:25,520 --> 00:12:29,120 Speaker 1: my family were all gonna die, and then I find 207 00:12:29,200 --> 00:12:31,400 Speaker 1: out that you were wrong on all of that, and 208 00:12:31,480 --> 00:12:33,640 Speaker 1: a couple of guys like you and me, who don't 209 00:12:33,640 --> 00:12:38,000 Speaker 1: have advanced medical degrees, we aren't epidemiologists, but we're just 210 00:12:38,120 --> 00:12:39,839 Speaker 1: smart enough. And there are a lot of people out 211 00:12:39,840 --> 00:12:42,040 Speaker 1: there who were the same way, smart enough to look 212 00:12:42,040 --> 00:12:44,920 Speaker 1: at the data and analyze risk on behalf of ourselves 213 00:12:44,960 --> 00:12:47,920 Speaker 1: and our families, and we made rational, reasonable decisions, and 214 00:12:47,960 --> 00:12:50,560 Speaker 1: we shared all those with this huge audience of millions 215 00:12:50,559 --> 00:12:54,200 Speaker 1: of people. I'm sorry when you have shown me that 216 00:12:54,280 --> 00:12:58,680 Speaker 1: you were unworthy of trust on COVID, it pollutes every 217 00:12:58,720 --> 00:13:02,040 Speaker 1: single opinion that you have going forward. When Biden told me, 218 00:13:02,080 --> 00:13:03,520 Speaker 1: if I didn't get the COVID shot, it was going 219 00:13:03,559 --> 00:13:05,760 Speaker 1: to be a winner of death, and I was responsible 220 00:13:05,760 --> 00:13:10,160 Speaker 1: for that and then it wasn't true, then why would 221 00:13:10,160 --> 00:13:13,680 Speaker 1: I ever believe them on anything? They showed us beyond 222 00:13:13,720 --> 00:13:19,160 Speaker 1: a reasonable doubt that they care much more about politics 223 00:13:19,200 --> 00:13:22,280 Speaker 1: than about our actual health. They care much more about 224 00:13:22,320 --> 00:13:27,480 Speaker 1: power than whether or not people are are safe. You know, 225 00:13:27,520 --> 00:13:30,600 Speaker 1: we still have not had a full accounting for all 226 00:13:30,679 --> 00:13:35,160 Speaker 1: the excess, excess deaths that have occurred. And I'm even 227 00:13:35,160 --> 00:13:37,800 Speaker 1: talking about deaths of despair, and I'm forget about the 228 00:13:37,880 --> 00:13:40,320 Speaker 1: for a second, the vaccine side effect issue. I'm just 229 00:13:40,360 --> 00:13:44,599 Speaker 1: saying all the people who were immiserated and lives destroyed 230 00:13:45,120 --> 00:13:48,320 Speaker 1: because of lockdowns that were insane, because of policies that 231 00:13:48,360 --> 00:13:51,240 Speaker 1: were depressing. I mean, you could just see this on 232 00:13:51,240 --> 00:13:53,320 Speaker 1: the airlines, all the people getting into fistfights because they 233 00:13:53,360 --> 00:13:56,400 Speaker 1: were wearing masks, which was idiotic. It was beyond belief. 234 00:13:56,640 --> 00:14:00,480 Speaker 1: It was completely absurd. And now they're going to tell us, 235 00:14:00,520 --> 00:14:03,200 Speaker 1: don't worry about it. We've got this this toxic and 236 00:14:03,280 --> 00:14:06,080 Speaker 1: it's not toxic waste, but you know, this hazardous waste 237 00:14:06,080 --> 00:14:09,480 Speaker 1: spill is something that we can trust them to be 238 00:14:09,600 --> 00:14:12,800 Speaker 1: honest about with the American people. Not only do I 239 00:14:12,880 --> 00:14:14,960 Speaker 1: not trust them to be honest, I don't think they're 240 00:14:14,960 --> 00:14:17,000 Speaker 1: competent enough to handle it, and I don't think that 241 00:14:17,040 --> 00:14:19,400 Speaker 1: they've gotten they should get the benefit of the doubt 242 00:14:19,400 --> 00:14:22,040 Speaker 1: on either one of those. I think that's right. I 243 00:14:22,040 --> 00:14:23,960 Speaker 1: think that's one of the legacies of COVID is that 244 00:14:24,000 --> 00:14:29,320 Speaker 1: erosion of trust and worth mentioning seventy five to eighty 245 00:14:29,320 --> 00:14:32,840 Speaker 1: percent of all airline complaints have vanished since the mask 246 00:14:32,960 --> 00:14:37,080 Speaker 1: mandates disappeared, So all those unruly passengers that everybody was 247 00:14:37,080 --> 00:14:41,160 Speaker 1: focused on buy and large eliminating masks did away with 248 00:14:41,280 --> 00:14:43,960 Speaker 1: seventy five to eighty percent of all the issues. Tunnel 249 00:14:44,000 --> 00:14:46,800 Speaker 1: the Towers Foundations building. It's let Us Do Good Village 250 00:14:46,800 --> 00:14:49,920 Speaker 1: in Landa Lakes, Florida. It's right outside Tampa. First of 251 00:14:49,960 --> 00:14:52,920 Speaker 1: its kinds a hundred homes in the first phase of 252 00:14:52,960 --> 00:14:56,600 Speaker 1: construction and they have been given to program recipients there. 253 00:14:56,800 --> 00:14:59,360 Speaker 1: Gold Star family, the Thornton's were first to move in 254 00:14:59,640 --> 00:15:03,040 Speaker 1: the way Danielle and her children Jalen and Kinsley, after 255 00:15:03,080 --> 00:15:06,920 Speaker 1: the death of their husband, father Robert US Army Sergeant. 256 00:15:07,000 --> 00:15:09,960 Speaker 1: Danielle calls the home a blessing and they let Us 257 00:15:09,960 --> 00:15:12,880 Speaker 1: Do Good Village. GoldStar families have fallen first responders and 258 00:15:12,960 --> 00:15:16,920 Speaker 1: severely injured first responders and service members, their neighbors, heroes 259 00:15:16,960 --> 00:15:19,520 Speaker 1: and families of heroes live in one community so they 260 00:15:19,520 --> 00:15:21,880 Speaker 1: can help one another. Heel children grow up together and 261 00:15:21,960 --> 00:15:25,000 Speaker 1: support one another, and with every mortgage free home, the 262 00:15:25,040 --> 00:15:27,720 Speaker 1: foundation makes good on its promise to do good and 263 00:15:27,880 --> 00:15:31,200 Speaker 1: never forget the sacrifices our nation's greatest heroes have made 264 00:15:31,480 --> 00:15:34,120 Speaker 1: for our country and our communities. Make the let Us 265 00:15:34,160 --> 00:15:36,880 Speaker 1: Do Good Village the first of many communities like it. 266 00:15:37,320 --> 00:15:40,640 Speaker 1: Join both of us, Buck and myself in donating eleven 267 00:15:40,640 --> 00:15:43,400 Speaker 1: dollars a month to tunnel the towers at t twot 268 00:15:43,600 --> 00:15:47,280 Speaker 1: dot org. That's t the number two t dot org. 269 00:15:48,320 --> 00:15:53,360 Speaker 1: Learn and laugh weekdays with Clay Travis and Buck Sexton. 270 00:15:53,920 --> 00:15:59,880 Speaker 1: So Don Lemon got sent to a one day Malli 271 00:16:01,360 --> 00:16:05,000 Speaker 1: gender re education camp. Did you see this? One day? 272 00:16:05,240 --> 00:16:08,960 Speaker 1: Don Lemon gets gets sent there and it's a He's 273 00:16:09,000 --> 00:16:12,880 Speaker 1: he is cured of his misogyny. It's amazing how that happens. 274 00:16:12,960 --> 00:16:16,880 Speaker 1: He's He's all all good. Now I say this, I 275 00:16:17,280 --> 00:16:22,680 Speaker 1: still I miss Brian Stelter Show. Brian Stelter Show was 276 00:16:23,120 --> 00:16:27,440 Speaker 1: a rich source of material for the right and I 277 00:16:27,440 --> 00:16:29,320 Speaker 1: think he liked it because we were the only it 278 00:16:29,440 --> 00:16:31,880 Speaker 1: wasn't his audience. The only attention he got was fro Musli. 279 00:16:32,160 --> 00:16:34,400 Speaker 1: Brad Stelter has got a wick good show about the video. 280 00:16:35,080 --> 00:16:38,040 Speaker 1: And now you've got Don Lemon, who is going to 281 00:16:38,120 --> 00:16:41,640 Speaker 1: continue in in this role of the morning show over 282 00:16:41,680 --> 00:16:44,720 Speaker 1: at CNN for the you know, for the immediate, foreseeable, 283 00:16:44,840 --> 00:16:48,800 Speaker 1: foreseeable future, especially you know, we have joining us in 284 00:16:48,840 --> 00:16:52,760 Speaker 1: a few minutes, play Steve Krakauer, who is with the 285 00:16:52,880 --> 00:16:57,840 Speaker 1: First and is does a great newsletter on media specifically, 286 00:16:57,880 --> 00:17:00,680 Speaker 1: and he used to work at CNN. UM. I think 287 00:17:00,680 --> 00:17:03,800 Speaker 1: he was there a little bit before I was. I 288 00:17:03,880 --> 00:17:06,320 Speaker 1: was a contributor there, So we can ask him, is 289 00:17:06,440 --> 00:17:09,760 Speaker 1: CNN just going to continue to circle the drain? How 290 00:17:10,040 --> 00:17:11,760 Speaker 1: how does this thing get turned around? I don't know 291 00:17:11,760 --> 00:17:14,920 Speaker 1: how it gets turned around. What are the chances Don 292 00:17:15,000 --> 00:17:16,879 Speaker 1: Lemon would have been fired if he were a straight 293 00:17:16,880 --> 00:17:20,240 Speaker 1: white guy for what he said about women out of 294 00:17:20,240 --> 00:17:23,600 Speaker 1: their prime twenties, thirties, The chances are he would have 295 00:17:23,600 --> 00:17:26,960 Speaker 1: been fired. That those are the chan fired Gay and 296 00:17:27,119 --> 00:17:32,159 Speaker 1: black saved him from ridiculous stupidity, and that buck. I 297 00:17:32,200 --> 00:17:34,919 Speaker 1: still think the funniest part of this whole story is 298 00:17:34,960 --> 00:17:38,360 Speaker 1: that his research for when a woman is in her 299 00:17:38,400 --> 00:17:42,160 Speaker 1: prime was literally to go in Google and google when 300 00:17:42,280 --> 00:17:44,040 Speaker 1: is a woman in her prime? And then cite it 301 00:17:44,080 --> 00:17:47,520 Speaker 1: for anybody who criticized him like it was something. Excuse me, 302 00:17:47,680 --> 00:17:50,960 Speaker 1: google it, excuse me. He makes like ten million dollars 303 00:17:51,040 --> 00:17:53,880 Speaker 1: a year, and he prepped for that entire discussion by 304 00:17:53,920 --> 00:17:56,320 Speaker 1: typing in when is a woman in her prime? On Google? 305 00:17:56,440 --> 00:17:59,760 Speaker 1: And then anybody who questioned him he immediately argued to 306 00:17:59,800 --> 00:18:02,199 Speaker 1: get study. Didn't google what is a woman? Because that 307 00:18:02,200 --> 00:18:04,080 Speaker 1: can get very confusing. But I would have really thrown 308 00:18:04,119 --> 00:18:06,679 Speaker 1: him for an uproar. If you own a small business, 309 00:18:06,720 --> 00:18:08,720 Speaker 1: you know the value of time. Get Refunds dot Com 310 00:18:08,760 --> 00:18:11,120 Speaker 1: does too. That's why they made it easy, no matter 311 00:18:11,119 --> 00:18:14,400 Speaker 1: how busy you are to apply for an employee retention 312 00:18:14,960 --> 00:18:18,600 Speaker 1: credit or an ARC refund of your taxes from the IRS. 313 00:18:18,720 --> 00:18:21,840 Speaker 1: Go to get Refunds dot Com to get started in 314 00:18:22,040 --> 00:18:26,240 Speaker 1: less than eight seconds. I think that's eight minutes. See 315 00:18:26,280 --> 00:18:29,080 Speaker 1: if your business, eight seconds would be really impressive. See 316 00:18:29,080 --> 00:18:32,760 Speaker 1: if your business qualifies for ARC assistance. 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Welcome 325 00:18:59,640 --> 00:19:03,399 Speaker 1: back in Clay Travis buck Sexton Show, Wednesday edition of 326 00:19:03,440 --> 00:19:08,040 Speaker 1: the program, rolling through all of it with you, and 327 00:19:08,119 --> 00:19:11,520 Speaker 1: we are joined now. He's in our New York City studio. 328 00:19:12,359 --> 00:19:15,480 Speaker 1: I will be doing the show their Friday. I'll be 329 00:19:15,560 --> 00:19:17,960 Speaker 1: up in New York. But we are joined right now 330 00:19:18,040 --> 00:19:21,560 Speaker 1: by a guy who's doing good work. Steve Krakauer, editor 331 00:19:21,560 --> 00:19:25,040 Speaker 1: of The Fourth Watch Media, an executive producer of The 332 00:19:25,080 --> 00:19:28,440 Speaker 1: Megan and Kelly Show as well. His most recent book, Uncovered, 333 00:19:28,480 --> 00:19:31,879 Speaker 1: How the Media got Cozy with Power, abandoned its principles 334 00:19:31,960 --> 00:19:37,880 Speaker 1: and Lost the People. Book is at read uncovered dot com. Steve, 335 00:19:37,960 --> 00:19:40,760 Speaker 1: we were just talking about the Don Lemon mess, and 336 00:19:40,800 --> 00:19:43,640 Speaker 1: I know you and Megan on that show have been 337 00:19:43,680 --> 00:19:45,879 Speaker 1: discussing it quite a lot. And the question I just 338 00:19:45,920 --> 00:19:48,560 Speaker 1: asked Buck, you may have heard as we went to break, 339 00:19:48,760 --> 00:19:51,840 Speaker 1: is if Don Lemon is not gay and black, is 340 00:19:51,880 --> 00:19:54,680 Speaker 1: he still employed at Yes, at ESPN, probably still be 341 00:19:54,720 --> 00:19:57,359 Speaker 1: employed there too, But at CNN, based on what he said, 342 00:19:58,000 --> 00:20:00,600 Speaker 1: I it's hard to imagine that that he would be 343 00:20:00,640 --> 00:20:02,360 Speaker 1: at this point. And I think the other thing that's 344 00:20:02,400 --> 00:20:06,880 Speaker 1: that's interesting is that Don Lemon represents the old CNN, 345 00:20:07,080 --> 00:20:10,160 Speaker 1: the Jeff Zucker era CNN where when he was made 346 00:20:10,160 --> 00:20:12,840 Speaker 1: into a prime time star. Already in this new era, 347 00:20:12,920 --> 00:20:16,160 Speaker 1: he's been relegated to the morning show and now he's 348 00:20:16,200 --> 00:20:17,920 Speaker 1: one of three there. He's already been. You know, I 349 00:20:18,000 --> 00:20:21,520 Speaker 1: had other controversies with with others, you know, of his colleagues. 350 00:20:21,920 --> 00:20:24,440 Speaker 1: I can't imagine that Don Lemon is long for CNN. 351 00:20:24,480 --> 00:20:26,800 Speaker 1: I'm kind of shocked he's already. He came back after 352 00:20:26,880 --> 00:20:29,200 Speaker 1: his as you mentioned, the one day re education camp 353 00:20:29,240 --> 00:20:32,600 Speaker 1: on women and gender and sexism. I don't think he's 354 00:20:32,600 --> 00:20:34,320 Speaker 1: part of the long term plans at CNN, and I 355 00:20:34,320 --> 00:20:36,240 Speaker 1: don't think he should be if what they care about 356 00:20:36,320 --> 00:20:38,560 Speaker 1: is trying to get back to news and objectivity, because he, 357 00:20:38,960 --> 00:20:43,280 Speaker 1: more than perhaps anyone, went down that that real ridiculous 358 00:20:43,320 --> 00:20:46,200 Speaker 1: rabbit hole during the Trump era and it really helped 359 00:20:46,200 --> 00:20:49,280 Speaker 1: contribute to the loss of credibility that CNN had during 360 00:20:49,280 --> 00:20:51,840 Speaker 1: that Zucker area that they're now trying to build themselves 361 00:20:51,840 --> 00:20:55,280 Speaker 1: out of. Hey, Steve, it's buck. You know, you and 362 00:20:55,320 --> 00:20:59,200 Speaker 1: I both have sometime you considerly more but sometime over 363 00:20:59,280 --> 00:21:02,680 Speaker 1: at CNN back in the day, and it really did 364 00:21:02,840 --> 00:21:07,520 Speaker 1: change and it really has become a journo dumpster fire. 365 00:21:07,720 --> 00:21:10,879 Speaker 1: I mean, I think that even people uh on the 366 00:21:11,119 --> 00:21:13,199 Speaker 1: on the Democrat side of the aisle will say that 367 00:21:13,240 --> 00:21:17,520 Speaker 1: what's gone on over there is uh is not what 368 00:21:17,600 --> 00:21:21,239 Speaker 1: they intended, that's for sure. Is it salvageable? I mean, 369 00:21:21,280 --> 00:21:22,840 Speaker 1: what are the do you talk to people on the 370 00:21:22,880 --> 00:21:25,800 Speaker 1: inside still who feel like there's some way to turn 371 00:21:25,840 --> 00:21:28,640 Speaker 1: this around, or is in the back of their minds 372 00:21:29,119 --> 00:21:32,320 Speaker 1: the possibility that Trump will run just gonna bring them 373 00:21:32,359 --> 00:21:37,080 Speaker 1: back to their twenty sixteen uh ignominious glory. Uh. That 374 00:21:37,080 --> 00:21:39,080 Speaker 1: would just be disastrous for them if if that is 375 00:21:39,119 --> 00:21:41,679 Speaker 1: what happens. I And it's it's hard to fight against 376 00:21:41,680 --> 00:21:45,240 Speaker 1: that because Trump, imagine, you know, was good for business 377 00:21:45,320 --> 00:21:48,240 Speaker 1: and he was good because and he became this focus 378 00:21:48,280 --> 00:21:51,080 Speaker 1: because it was personal. Jeff Zucker had this personal relationship 379 00:21:51,080 --> 00:21:54,280 Speaker 1: with Trump. He felt, you know, basically Trump was a 380 00:21:54,280 --> 00:21:56,760 Speaker 1: turncoat to his class of the media class there and 381 00:21:56,800 --> 00:21:58,520 Speaker 1: that's part of the reason that they went down that 382 00:21:58,520 --> 00:22:01,080 Speaker 1: that you know, the guardrails were compe off during the 383 00:22:01,080 --> 00:22:04,560 Speaker 1: Trump era. I think that it's possible, but it's going 384 00:22:04,600 --> 00:22:07,440 Speaker 1: to take some really full scale changes, because, as you mentioned, 385 00:22:07,440 --> 00:22:09,880 Speaker 1: I was at CNN in twenty thirteen. I worked there 386 00:22:09,880 --> 00:22:12,800 Speaker 1: for about three years, and twenty thirteen less than ten 387 00:22:12,880 --> 00:22:15,119 Speaker 1: years ago. It was like a lifetime compared to the 388 00:22:15,119 --> 00:22:18,360 Speaker 1: way it devolved in twenty fifteen and twenty sixteen when 389 00:22:18,359 --> 00:22:22,080 Speaker 1: that all happened. So, yes, I think that what happened 390 00:22:22,119 --> 00:22:26,440 Speaker 1: in twenty sixteen is that there were people inside CNN 391 00:22:26,560 --> 00:22:29,399 Speaker 1: that felt that there was this real existential threat that 392 00:22:29,560 --> 00:22:31,639 Speaker 1: to democracy that they were had to fight against. And 393 00:22:31,680 --> 00:22:33,520 Speaker 1: I write about this in chapter six and including my 394 00:22:33,560 --> 00:22:37,640 Speaker 1: experience at CNN, but also what happened since. And so 395 00:22:37,920 --> 00:22:41,120 Speaker 1: even if they believe that, and I personally obviously did 396 00:22:41,119 --> 00:22:42,920 Speaker 1: not think that there was an existenzial threat with Trump, 397 00:22:42,960 --> 00:22:44,879 Speaker 1: But if you believe that, then what you need to 398 00:22:44,920 --> 00:22:47,200 Speaker 1: do is double down on your principles. That's the time 399 00:22:47,200 --> 00:22:49,080 Speaker 1: that you're really kind of digging your heels and say, 400 00:22:49,119 --> 00:22:51,119 Speaker 1: if this is important, we need to make sure the 401 00:22:51,160 --> 00:22:53,679 Speaker 1: public trusts us when you tell us about that. Instead, 402 00:22:53,840 --> 00:22:56,520 Speaker 1: they did the opposite. They decided that apparently now is 403 00:22:56,560 --> 00:22:59,359 Speaker 1: the time you can abandon your principles because it's too important. No, 404 00:22:59,520 --> 00:23:02,000 Speaker 1: you know, the uralistic integrity that's that's for another time. 405 00:23:02,119 --> 00:23:05,600 Speaker 1: Right now, we need to take down Trump and that 406 00:23:05,680 --> 00:23:08,880 Speaker 1: just completely destroys the credibility. And I do think it's 407 00:23:08,880 --> 00:23:11,160 Speaker 1: going to take real change. I mean, they've already had 408 00:23:11,160 --> 00:23:14,320 Speaker 1: some of the staffing changed from that Zucker era. I 409 00:23:14,400 --> 00:23:15,840 Speaker 1: think it's going to take some more. You need to 410 00:23:15,880 --> 00:23:18,159 Speaker 1: get new people in there so that they can regain 411 00:23:18,240 --> 00:23:20,399 Speaker 1: that trust because they need to get back to news. 412 00:23:20,600 --> 00:23:22,680 Speaker 1: I think that we need a strong CNN right now. 413 00:23:22,880 --> 00:23:25,560 Speaker 1: It's a mess still. Yeah, and you know it's not 414 00:23:25,600 --> 00:23:28,000 Speaker 1: just CNN, by the way, I'm sure you saw the 415 00:23:28,080 --> 00:23:32,439 Speaker 1: numbers on Gallop where basically the vast majority of the 416 00:23:32,440 --> 00:23:37,680 Speaker 1: American public, certainly Republicans and independence don't trust the media anymore. 417 00:23:38,119 --> 00:23:42,919 Speaker 1: And I think COVID accelerated that is that reversible or 418 00:23:42,960 --> 00:23:46,320 Speaker 1: do you think we've moved into this new era where 419 00:23:46,880 --> 00:23:50,040 Speaker 1: basically people go out and follow people whose opinions they 420 00:23:50,080 --> 00:23:53,280 Speaker 1: find interesting or they agree with. But this idea of 421 00:23:53,320 --> 00:23:57,719 Speaker 1: a Walter Cronkite like figure or a CNN during the 422 00:23:57,760 --> 00:24:02,200 Speaker 1: initial Gulf War era has basically gone forever and there 423 00:24:02,320 --> 00:24:05,320 Speaker 1: isn't going to be a very trusted form of media 424 00:24:05,800 --> 00:24:08,320 Speaker 1: right You're right, it's much bigger than than CNN, and 425 00:24:08,320 --> 00:24:10,199 Speaker 1: I think that there there's a lot of reasons for it, 426 00:24:10,200 --> 00:24:12,159 Speaker 1: and I do think that there are elements that they 427 00:24:12,160 --> 00:24:13,840 Speaker 1: can get back to. I don't I think the days 428 00:24:13,880 --> 00:24:17,200 Speaker 1: of the Walter Cronkite and the trust and the giant audiences. 429 00:24:17,240 --> 00:24:19,720 Speaker 1: I mean just the way that the audiences have shifted now. 430 00:24:19,720 --> 00:24:22,280 Speaker 1: There's so many, so much more choice now in how 431 00:24:22,280 --> 00:24:25,160 Speaker 1: you consume your media content. So that's that's all playing 432 00:24:25,160 --> 00:24:27,160 Speaker 1: a factor in this. But but I really think that 433 00:24:27,560 --> 00:24:29,240 Speaker 1: we are we living in an era. And I try 434 00:24:29,280 --> 00:24:32,320 Speaker 1: to lay out five specific problems that make this particular 435 00:24:32,359 --> 00:24:34,960 Speaker 1: era really challenging for the media and lead to these 436 00:24:35,000 --> 00:24:37,600 Speaker 1: giant problems, and one of them is social media. I 437 00:24:37,600 --> 00:24:40,080 Speaker 1: mean the New York Times. Every single day it's a 438 00:24:40,080 --> 00:24:43,280 Speaker 1: giant news organization. Every day there's some good journalism happening 439 00:24:43,280 --> 00:24:45,800 Speaker 1: at the New York Times, but every single day they 440 00:24:45,800 --> 00:24:48,760 Speaker 1: are undermined by their own staff. They the lower level 441 00:24:48,800 --> 00:24:52,080 Speaker 1: staffers who spill out their their thoughts all over Twitter 442 00:24:52,160 --> 00:24:55,240 Speaker 1: on every possible subject, like it's their diary for everyone 443 00:24:55,280 --> 00:24:58,840 Speaker 1: to read. And that is just so unlike any other occupation, 444 00:24:58,960 --> 00:25:01,239 Speaker 1: Like you don't have you know, Bill, your accountant, who 445 00:25:01,280 --> 00:25:04,679 Speaker 1: does your taxes? Tweeting incessantly about January sixth, and the 446 00:25:04,760 --> 00:25:09,080 Speaker 1: right like those people most of the country have lives 447 00:25:09,080 --> 00:25:12,000 Speaker 1: and families and they go outside. But the corporate media, 448 00:25:12,080 --> 00:25:15,879 Speaker 1: the pundits, the journalists, they spend all their time talking 449 00:25:15,960 --> 00:25:18,720 Speaker 1: NonStop to each other on Twitter. And until you could 450 00:25:18,720 --> 00:25:21,040 Speaker 1: actually get them to pull back from that, until you 451 00:25:21,040 --> 00:25:23,240 Speaker 1: can get them to actually go back to doing the 452 00:25:23,280 --> 00:25:26,120 Speaker 1: work of journalism and not trying to make themselves into stars, 453 00:25:26,280 --> 00:25:28,480 Speaker 1: then you aren't gonna be able to solve the problems 454 00:25:28,520 --> 00:25:30,639 Speaker 1: that you have at the core of what's wrong with 455 00:25:30,640 --> 00:25:34,040 Speaker 1: the press these days. Speaking of Steve Krakaur, he's got 456 00:25:34,080 --> 00:25:36,479 Speaker 1: a new book out, Uncovered How the media got cozy 457 00:25:36,480 --> 00:25:41,800 Speaker 1: with power, abandoned its principles and lost the people. Steven, 458 00:25:42,000 --> 00:25:44,960 Speaker 1: is there an incentive for these organizations, whether it's The 459 00:25:44,960 --> 00:25:48,080 Speaker 1: New York Time, CNN, any of them, is there really 460 00:25:48,119 --> 00:25:51,920 Speaker 1: an incentive for them to go back to doing journalism 461 00:25:52,040 --> 00:25:53,920 Speaker 1: or do you think that they just view the business 462 00:25:53,920 --> 00:26:00,320 Speaker 1: model now as the more insanely anti maga left wing 463 00:26:00,920 --> 00:26:04,399 Speaker 1: you know, trans rights for kids, I mean, just the 464 00:26:04,440 --> 00:26:07,280 Speaker 1: most hardcore left wing stuff. It feels like the trend 465 00:26:07,359 --> 00:26:10,200 Speaker 1: is to just try to fight over more and more 466 00:26:10,280 --> 00:26:13,119 Speaker 1: slices of the left instead of trying to broaden it 467 00:26:13,200 --> 00:26:16,600 Speaker 1: out and do more information gathering. And I guess what 468 00:26:16,640 --> 00:26:20,480 Speaker 1: people would call journalism. Yeah, I the incentive structure is 469 00:26:20,480 --> 00:26:22,800 Speaker 1: completely broken. But I do think that when you see 470 00:26:22,840 --> 00:26:26,280 Speaker 1: the successes of people rising to power and think about 471 00:26:26,280 --> 00:26:29,119 Speaker 1: it's not just money that's that's what they're losing, you know, 472 00:26:29,119 --> 00:26:31,840 Speaker 1: because they are They made gobs of money under Trump 473 00:26:31,920 --> 00:26:33,520 Speaker 1: and then now they're starting to lose money. You see 474 00:26:33,520 --> 00:26:36,000 Speaker 1: the worst ratings of all time for seeing an MSNBC 475 00:26:36,200 --> 00:26:39,919 Speaker 1: last year. But it's also power, institutional power, corporate power. 476 00:26:40,480 --> 00:26:42,520 Speaker 1: When you have the likes of Joe Rogan becoming the 477 00:26:42,640 --> 00:26:44,639 Speaker 1: most powerful voice in a lot of ways, and the 478 00:26:44,640 --> 00:26:47,119 Speaker 1: press doing it completely outside of the gate keepers, but 479 00:26:47,240 --> 00:26:49,560 Speaker 1: you have other people on substack, great journalists who are 480 00:26:49,760 --> 00:26:53,399 Speaker 1: building real news organizations for themselves. When you have that, 481 00:26:53,680 --> 00:26:55,800 Speaker 1: the corporate media has to look at that and see 482 00:26:55,840 --> 00:26:58,280 Speaker 1: why is it that we're losing not just audience but 483 00:26:58,480 --> 00:27:01,720 Speaker 1: actual power and make some adjustments to it. So I'm 484 00:27:01,760 --> 00:27:04,119 Speaker 1: not seeing that happening yet, but I do think that 485 00:27:04,160 --> 00:27:06,520 Speaker 1: we're at this really clear inflection point right now, that 486 00:27:06,640 --> 00:27:09,919 Speaker 1: this is a moment where there will be changes. There 487 00:27:09,920 --> 00:27:11,840 Speaker 1: will be winners and losers that we don't know yet, 488 00:27:11,880 --> 00:27:14,760 Speaker 1: both on the independent side and on the corporate media side. 489 00:27:15,040 --> 00:27:18,720 Speaker 1: And it's because of the success of the independence, because 490 00:27:18,720 --> 00:27:21,280 Speaker 1: of the success of people who are accruing an audience. 491 00:27:21,560 --> 00:27:25,040 Speaker 1: Audience is finding people from non traditional ways. That's going 492 00:27:25,080 --> 00:27:28,560 Speaker 1: to force the corporate media hopefully to really like light 493 00:27:28,600 --> 00:27:30,560 Speaker 1: a fire under them and say, let's get this right 494 00:27:30,600 --> 00:27:32,800 Speaker 1: and let's actually start to do the work of getting 495 00:27:32,840 --> 00:27:34,920 Speaker 1: people to trust us again, because right now they don't, 496 00:27:35,640 --> 00:27:38,439 Speaker 1: no doubt. Steve, I did your podcast recently. We had 497 00:27:38,480 --> 00:27:40,800 Speaker 1: a good time. How can people find that if they 498 00:27:40,840 --> 00:27:43,960 Speaker 1: want to see more of you interacting with bucking myself. Yeah, 499 00:27:44,000 --> 00:27:46,760 Speaker 1: absolutely so. The newsletter which I write and do the 500 00:27:46,760 --> 00:27:49,320 Speaker 1: podcast is Fourthwatch dot Media. And the book which I 501 00:27:49,359 --> 00:27:51,520 Speaker 1: get into all of these problems and really try to 502 00:27:51,560 --> 00:27:54,359 Speaker 1: lay out some solutions if they'd listen, is at read 503 00:27:54,400 --> 00:27:58,000 Speaker 1: Uncovered dot com. Thanks for me with Steve Krakaure. Good 504 00:27:58,000 --> 00:28:01,640 Speaker 1: to talk to you. Thanks guys, really appreciate it. Every 505 00:28:01,720 --> 00:28:05,720 Speaker 1: day your home movies and photos are slowly fading away. 506 00:28:05,760 --> 00:28:08,240 Speaker 1: That's because those videotapes you bought once upon a time 507 00:28:08,280 --> 00:28:10,320 Speaker 1: weren't meant to last more than a couple of decades. 508 00:28:10,640 --> 00:28:13,399 Speaker 1: The magnetic tape starts to degrade and the color fades 509 00:28:13,440 --> 00:28:15,960 Speaker 1: on photographs and the albums that you've stashed away, they're 510 00:28:15,960 --> 00:28:19,400 Speaker 1: collecting dust. It's time to digitize what is on those 511 00:28:19,400 --> 00:28:22,200 Speaker 1: tapes and in those albums. You can do it easily 512 00:28:22,359 --> 00:28:24,840 Speaker 1: with Legacy Box. They've done this for more than one 513 00:28:24,920 --> 00:28:28,280 Speaker 1: million families already. You can trust your precious memories on 514 00:28:28,320 --> 00:28:30,760 Speaker 1: film and tape with Legacy Box. Clay and I have 515 00:28:30,840 --> 00:28:33,680 Speaker 1: both used them to preserve our own families treasures and 516 00:28:33,840 --> 00:28:37,400 Speaker 1: the outcome was phenomenal. It's like opening a time capsule. 517 00:28:37,440 --> 00:28:40,480 Speaker 1: You see all those smiles, those amazing moments, hear the 518 00:28:40,520 --> 00:28:43,160 Speaker 1: voices of family members that maybe even have passed away, 519 00:28:43,240 --> 00:28:45,520 Speaker 1: and you can just think back to them and actually 520 00:28:45,600 --> 00:28:48,400 Speaker 1: have a real momentum, real memory that comes back to you. 521 00:28:49,040 --> 00:28:52,400 Speaker 1: So every tape you send to Legacy Box is hand 522 00:28:52,400 --> 00:28:56,760 Speaker 1: transferred by their team with tremendous care and trust in Chattanooga, Tennessee. 523 00:28:57,160 --> 00:28:59,160 Speaker 1: So you want to do this, it's worth doing it 524 00:28:59,280 --> 00:29:04,280 Speaker 1: right now. Legacybox dot com slash buck that's legacybox dot 525 00:29:04,280 --> 00:29:07,840 Speaker 1: com slash b u c K. He'll save fifty percent 526 00:29:08,280 --> 00:29:11,280 Speaker 1: legacybox dot com slash buck you'll get this fifty percent 527 00:29:11,320 --> 00:29:15,640 Speaker 1: off offer legacybox dot com slash b U c K. 528 00:29:16,680 --> 00:29:19,040 Speaker 1: Want more Clay and Buck that you didn't here on 529 00:29:19,040 --> 00:29:22,200 Speaker 1: the show. Get podcast extras in the Clay and Buck 530 00:29:22,240 --> 00:29:25,320 Speaker 1: podcast feed, find it on the iheartap or wherever you 531 00:29:25,360 --> 00:29:28,040 Speaker 1: get your podcasts. I want to take you back in 532 00:29:28,160 --> 00:29:34,680 Speaker 1: time though, or moment in history. February twenty second, nineteen 533 00:29:35,040 --> 00:29:41,800 Speaker 1: eighty US Men's Olympic hockey team a great moment for America. 534 00:29:41,920 --> 00:29:55,840 Speaker 1: Play it. You got pain fucking going on, So I 535 00:29:55,880 --> 00:29:58,600 Speaker 1: will say, Clay even I know about this because producer 536 00:29:58,680 --> 00:30:01,760 Speaker 1: Mark th And to take my passport away for me 537 00:30:01,880 --> 00:30:05,440 Speaker 1: not being American, because I had not seen Miracle the movie, 538 00:30:06,000 --> 00:30:09,480 Speaker 1: So I figured, okay, I watched it very very entertaining. 539 00:30:10,120 --> 00:30:13,000 Speaker 1: Um one of the great moments in American sport, and 540 00:30:13,040 --> 00:30:16,760 Speaker 1: it's the anniversary for every twenty second is today. Do 541 00:30:16,840 --> 00:30:19,600 Speaker 1: you know who was on the call there and said 542 00:30:19,920 --> 00:30:28,320 Speaker 1: the iconic miracle line, Wayne Gretzky. This is like one 543 00:30:28,360 --> 00:30:31,280 Speaker 1: of those Jeopardy clips that could go viral when it's like, 544 00:30:31,720 --> 00:30:36,160 Speaker 1: you know, you just see all they player. I know, Okay, no, 545 00:30:36,760 --> 00:30:38,800 Speaker 1: remember these were a well First of all, these were 546 00:30:38,880 --> 00:30:41,920 Speaker 1: you watched the movie. These were not professional hockey players. 547 00:30:42,120 --> 00:30:47,560 Speaker 1: I know Canadian, so it would be unlikely that he 548 00:30:47,600 --> 00:30:49,680 Speaker 1: would be on the US team or I missed up 549 00:30:49,680 --> 00:30:53,719 Speaker 1: calling the game. But Al Michaels, one of the most 550 00:30:54,400 --> 00:30:58,720 Speaker 1: iconic sports announcers of all time, still in the game. 551 00:30:58,840 --> 00:31:01,760 Speaker 1: He's calling Thursday Night NFL. I believe that's the only 552 00:31:01,760 --> 00:31:04,880 Speaker 1: sport that he does now. But that was his probably 553 00:31:05,000 --> 00:31:08,560 Speaker 1: most memorable call of his career forty two years ago. Today, 554 00:31:08,760 --> 00:31:11,640 Speaker 1: I mean that that audio clip, I will say, is 555 00:31:11,720 --> 00:31:15,320 Speaker 1: right up there with the Russian is Cut. Now, granted 556 00:31:15,400 --> 00:31:19,200 Speaker 1: that's fictional, but still the Russian is cut as a 557 00:31:19,240 --> 00:31:22,680 Speaker 1: moment in fictional sport, kind of helped US defeat the Soviet. 558 00:31:22,760 --> 00:31:25,840 Speaker 1: Between Rocky four and Reagan, they didn't have a chance. 559 00:31:26,080 --> 00:31:30,400 Speaker 1: This buck was a big difference between us generationally. I 560 00:31:30,480 --> 00:31:32,760 Speaker 1: was nine months old, and this is gonna make a 561 00:31:32,800 --> 00:31:35,240 Speaker 1: lot of people out there feel very old. I was 562 00:31:35,280 --> 00:31:39,440 Speaker 1: a baby nine months old when that call occurred. Probably 563 00:31:39,480 --> 00:31:42,320 Speaker 1: somewhere in the house. I bet my dad and or 564 00:31:42,440 --> 00:31:46,640 Speaker 1: mom had that game on you not yet born. I mean, 565 00:31:46,680 --> 00:31:50,120 Speaker 1: I'm maybe the more true American just tossing it out there. Well, 566 00:31:51,000 --> 00:31:55,680 Speaker 1: that Nate that whatever you say, sir, the whole Coogan 567 00:31:56,040 --> 00:31:59,120 Speaker 1: real American hero music there in the background. Because I 568 00:31:59,160 --> 00:32:01,239 Speaker 1: was around for the me go on Ice you not 569 00:32:01,360 --> 00:32:06,240 Speaker 1: yet existing. And it is remarkable because they were college 570 00:32:06,480 --> 00:32:08,440 Speaker 1: It's kind of funny that we were like, well, we're 571 00:32:08,440 --> 00:32:10,720 Speaker 1: just gonna use college athletes instead of and they're just 572 00:32:10,720 --> 00:32:13,480 Speaker 1: gonna send their professionals who are state funded and trained. 573 00:32:14,080 --> 00:32:16,720 Speaker 1: This was a big deal in the Olympics for a while, Buck, 574 00:32:16,800 --> 00:32:21,880 Speaker 1: because the US insisted on college kids, for instance, in basketball, 575 00:32:22,280 --> 00:32:27,080 Speaker 1: playing against every other country's professional athletes until the Dream 576 00:32:27,080 --> 00:32:29,960 Speaker 1: Team in nineteen ninety two. Back in the era. And 577 00:32:30,000 --> 00:32:32,040 Speaker 1: I said, we would mention this when the NBA was 578 00:32:32,040 --> 00:32:34,880 Speaker 1: at its apex. You were an NBA fan at the time, yep. 579 00:32:34,960 --> 00:32:36,800 Speaker 1: This is a good example. I mean, we just played 580 00:32:36,800 --> 00:32:39,479 Speaker 1: that clip forty two years ago. The NBA had its 581 00:32:39,480 --> 00:32:41,720 Speaker 1: All Star Game this weekend in Salt Lake City, Buck, 582 00:32:42,280 --> 00:32:47,200 Speaker 1: all time low for viewership in NBA All Star Game history. 583 00:32:47,760 --> 00:32:50,760 Speaker 1: This is what happens when a sport truly goes woke. 584 00:32:51,200 --> 00:32:53,560 Speaker 1: They abandoned many of the people who otherwise would be 585 00:32:53,600 --> 00:32:56,240 Speaker 1: fans of the sport who are seeking to get away 586 00:32:56,280 --> 00:32:59,040 Speaker 1: from the serious things in life and the NBA, by 587 00:32:59,120 --> 00:33:01,800 Speaker 1: going full on woke, has alienated much of its fan 588 00:33:01,840 --> 00:33:05,600 Speaker 1: base and just circling back. Before we close up shop today, 589 00:33:06,080 --> 00:33:09,440 Speaker 1: I had said that I thought that Trump today in 590 00:33:09,440 --> 00:33:17,200 Speaker 1: East Palestine had an opportunity to re establish or maybe 591 00:33:17,200 --> 00:33:22,400 Speaker 1: just reconnect with one of his most important constituencies, which 592 00:33:22,480 --> 00:33:25,320 Speaker 1: is just people all across the country, but mostly in 593 00:33:26,400 --> 00:33:31,080 Speaker 1: what people termed the rust belts, you know, areas that 594 00:33:31,160 --> 00:33:36,160 Speaker 1: have faced d industrialization and feel left behind. And here 595 00:33:36,280 --> 00:33:39,200 Speaker 1: is how Trump spoke today in East Palestine. Here's a 596 00:33:39,200 --> 00:33:41,160 Speaker 1: clip of them play thirty one. To the people of 597 00:33:41,160 --> 00:33:45,680 Speaker 1: East Palestine and to the nearby communities in Ohio and Pennsylvania, 598 00:33:46,120 --> 00:33:49,600 Speaker 1: we have told you loud and clear, you are not forgotten. 599 00:33:49,920 --> 00:33:52,160 Speaker 1: You are not forgotten. We stand with you, we pray 600 00:33:52,240 --> 00:33:54,520 Speaker 1: for you, and we will stay with you in your 601 00:33:54,520 --> 00:33:58,560 Speaker 1: fight to help answer and the accountability that you deserve. 602 00:33:58,640 --> 00:34:01,800 Speaker 1: Will have that accountability. I'll be out there very clearly. 603 00:34:02,600 --> 00:34:06,080 Speaker 1: This is this is vintage Trump. By the way, communities, 604 00:34:07,840 --> 00:34:11,400 Speaker 1: Yeah won the Midwest in sixteen Buck that this is 605 00:34:11,600 --> 00:34:14,640 Speaker 1: we can talk to were blue in the face about 606 00:34:14,680 --> 00:34:18,719 Speaker 1: all the different permutations, all the candidates, and ultimately what 607 00:34:18,719 --> 00:34:24,400 Speaker 1: it's going to come down to is Pennsylvania, Michigan, and Wisconsin. 608 00:34:25,239 --> 00:34:28,160 Speaker 1: What is going to happen in the Midwest. Those are 609 00:34:28,200 --> 00:34:31,480 Speaker 1: the states, maybe Minnesota if if Republicans are having a 610 00:34:31,520 --> 00:34:35,080 Speaker 1: good run, But those are the states, those big ten states. 611 00:34:35,080 --> 00:34:37,040 Speaker 1: And when Trump shows up there, and I think this 612 00:34:37,120 --> 00:34:40,279 Speaker 1: is such a perfect metaphor for America. First, he beat 613 00:34:40,360 --> 00:34:44,319 Speaker 1: Mayor Pete, that Transportation secretary. It's going to take him 614 00:34:44,360 --> 00:34:47,640 Speaker 1: two weeks to get there, Joe Biden and can't even 615 00:34:47,640 --> 00:34:50,439 Speaker 1: make it up the stairs in Europe. He's probably never 616 00:34:50,480 --> 00:34:53,360 Speaker 1: gonna get there. And Trump showed up, showing up some 617 00:34:53,440 --> 00:34:58,120 Speaker 1: big part of it. Yeah, Buddha Judge is apparently going tomorrow. Now, Yeah, 618 00:34:58,160 --> 00:35:00,800 Speaker 1: that's what it's because I think he real up Trump, 619 00:35:01,080 --> 00:35:04,280 Speaker 1: Yes exactly. He said to say, whoa hold on a second. 620 00:35:04,480 --> 00:35:06,799 Speaker 1: So they're not that hard getting to Ohio. It's not 621 00:35:06,800 --> 00:35:10,440 Speaker 1: like getting to Antarctica. Despite what the Democrat elites and 622 00:35:10,480 --> 00:35:13,040 Speaker 1: the coast may think, he can get there pretty easily. Well. 623 00:35:13,080 --> 00:35:15,360 Speaker 1: And remember this is the pitch that Democrats, the white 624 00:35:15,400 --> 00:35:18,480 Speaker 1: woke class of Democrats, have tried to make about Mayor Pete. 625 00:35:18,520 --> 00:35:21,040 Speaker 1: Oh he has a great appeal in the Midwest. Well, 626 00:35:21,600 --> 00:35:23,640 Speaker 1: he was the mayor in Indiana in a state that 627 00:35:23,680 --> 00:35:26,040 Speaker 1: he can never win governor or send it in. And 628 00:35:26,080 --> 00:35:29,759 Speaker 1: I believe he's moved to Traverse City, Michigan, if I'm 629 00:35:29,800 --> 00:35:33,799 Speaker 1: not wrong, there with his family, so he's now not 630 00:35:33,880 --> 00:35:37,160 Speaker 1: even living in Indiana. But their big argument about Mayor 631 00:35:37,200 --> 00:35:40,000 Speaker 1: Pete is he can connect in the Midwest. Well, I 632 00:35:40,040 --> 00:35:43,239 Speaker 1: would suggest that failing to go to East Palestine for 633 00:35:43,280 --> 00:35:47,480 Speaker 1: two weeks, despite the constant drumbeat of futility that has emerged, 634 00:35:47,520 --> 00:35:50,920 Speaker 1: there is a sign that Mayor Pete doesn't actually connect 635 00:35:50,920 --> 00:35:54,759 Speaker 1: that well in the Midwest at all. We want you 636 00:35:54,840 --> 00:35:57,600 Speaker 1: to connect with us on our podcast stream. By the way, 637 00:35:57,640 --> 00:36:01,640 Speaker 1: We've got great originals that are up there, deep dive interviews, 638 00:36:01,680 --> 00:36:04,560 Speaker 1: long form stuff you won't hear on the radio. Gotta 639 00:36:04,640 --> 00:36:07,400 Speaker 1: go to the iHeart app, subscribe to Clay Travis and 640 00:36:07,440 --> 00:36:11,640 Speaker 1: Buck Sexton show, and also go check out to Clay 641 00:36:11,680 --> 00:36:14,879 Speaker 1: and Buck on YouTube because we have video we take 642 00:36:14,960 --> 00:36:17,600 Speaker 1: throughout the show and we post some of our clips there. 643 00:36:18,120 --> 00:36:20,120 Speaker 1: So there's a lot of ways to stay in touch 644 00:36:20,160 --> 00:36:22,920 Speaker 1: with us and keep it off lowing. And already, man, 645 00:36:22,960 --> 00:36:25,520 Speaker 1: I'm thinking about our show tomorrow. I have a feeling 646 00:36:25,600 --> 00:36:30,280 Speaker 1: that the response to the Trump visit from the media 647 00:36:30,440 --> 00:36:32,759 Speaker 1: on the left tonight in primetime. I might have to 648 00:36:32,800 --> 00:36:35,840 Speaker 1: watch some MSNBC tonight, Clay. I may have to step 649 00:36:35,880 --> 00:36:39,600 Speaker 1: into this and do it for everybody. You poor, poor bastard. 650 00:36:39,600 --> 00:36:42,120 Speaker 1: I'm glad you're taking the shrapnel for everybody else, because 651 00:36:42,160 --> 00:36:45,000 Speaker 1: I do. I'm not doing that. My hair protects me, 652 00:36:45,080 --> 00:36:49,240 Speaker 1: though it's very thick. Side after the podcast,