1 00:00:00,480 --> 00:00:05,480 Speaker 1: Welcome. In Wednesday edition Clay Travis Buck Sexton Show. Had 2 00:00:05,519 --> 00:00:10,200 Speaker 1: an awesome time speaking to the young Republicans of Hamilton County, 3 00:00:10,720 --> 00:00:14,920 Speaker 1: that is Chattanooga. Last night visited with our friends Legacy 4 00:00:14,960 --> 00:00:19,600 Speaker 1: Box toured their incredible facility. Maybe talk a little bit 5 00:00:19,600 --> 00:00:21,680 Speaker 1: more about that later, but just wanted to say off 6 00:00:21,720 --> 00:00:24,360 Speaker 1: the top thanks to everybody out there who was listening 7 00:00:24,560 --> 00:00:27,600 Speaker 1: in that area. Had a great time meeting with all 8 00:00:27,800 --> 00:00:31,680 Speaker 1: of you. And there are a lot more of you 9 00:00:32,080 --> 00:00:36,920 Speaker 1: every single day that are joining team Clay and Buck, 10 00:00:37,000 --> 00:00:41,599 Speaker 1: team Sanity, Team Republican. You could probably feel it. We 11 00:00:41,640 --> 00:00:44,320 Speaker 1: will talk with Heather McDonald by the way next hour 12 00:00:44,479 --> 00:00:48,040 Speaker 1: about the latest on the crime situation DC in particular, 13 00:00:48,880 --> 00:00:51,839 Speaker 1: but what exactly is happening when it comes to violent 14 00:00:51,880 --> 00:00:53,960 Speaker 1: crime in this country? What is the data show us. 15 00:00:53,960 --> 00:00:56,240 Speaker 1: Heather McDonald's one of the top experts in the country, 16 00:00:56,280 --> 00:00:59,160 Speaker 1: so we will discuss that. But Buck, this is one 17 00:00:59,160 --> 00:01:01,000 Speaker 1: of those days where it pays off to be me, 18 00:01:01,680 --> 00:01:05,440 Speaker 1: where you start off your morning with a nice Crockett coffee, 19 00:01:05,840 --> 00:01:10,440 Speaker 1: sitting down in front of the newspaper selection opening it up. 20 00:01:10,520 --> 00:01:13,959 Speaker 1: Usually the New York Times, not exactly renowned for its 21 00:01:14,319 --> 00:01:17,319 Speaker 1: positive stories relating to the Republican Party. 22 00:01:17,600 --> 00:01:20,160 Speaker 2: Can I just say, drinking Crockett clay is like putting 23 00:01:20,160 --> 00:01:23,040 Speaker 2: on the leather bib before you get the X ray 24 00:01:23,160 --> 00:01:26,319 Speaker 2: at the dentist. Like if you're drinking Crockett, the communist 25 00:01:26,440 --> 00:01:29,800 Speaker 2: New York Times doesn't infiltrate you the same way. 26 00:01:30,120 --> 00:01:32,200 Speaker 1: No doubt. And by the way, I just want I 27 00:01:32,959 --> 00:01:35,800 Speaker 1: do it so you don't have to. This is me 28 00:01:35,959 --> 00:01:36,759 Speaker 1: taking this time. 29 00:01:36,840 --> 00:01:39,800 Speaker 2: It lead, not leather, sorry, leather, lead bib led bib. 30 00:01:39,840 --> 00:01:41,520 Speaker 2: I was thinking, what does the leather do? But I 31 00:01:41,560 --> 00:01:44,280 Speaker 2: was the leather with Crockett connection. I thought I might 32 00:01:44,319 --> 00:01:48,520 Speaker 2: be missing something. I do it so most of you 33 00:01:48,600 --> 00:01:49,480 Speaker 2: do not have to. 34 00:01:50,120 --> 00:01:53,200 Speaker 1: But this is a headline in New York Times today, 35 00:01:53,360 --> 00:01:55,680 Speaker 1: and I'm looking at what the headline is in the 36 00:01:55,920 --> 00:02:00,520 Speaker 1: digital right now, because sometimes it's different than the newspaper headline. 37 00:02:00,600 --> 00:02:07,080 Speaker 1: Digital not a positive headline. Democrats flashing read alert. What 38 00:02:07,160 --> 00:02:11,600 Speaker 1: the voter registration data shows subheading And there's a big 39 00:02:11,639 --> 00:02:16,760 Speaker 1: graphical accompaniment story for this. The party is bleeding support 40 00:02:16,960 --> 00:02:21,840 Speaker 1: beyond the ballot box. A new analysis shows this is 41 00:02:22,000 --> 00:02:25,799 Speaker 1: a big article. This is the feature for the New 42 00:02:25,840 --> 00:02:28,480 Speaker 1: York Times. And listen to this open buck you don't 43 00:02:28,480 --> 00:02:30,080 Speaker 1: hear it opens like these. And I thought it was 44 00:02:30,120 --> 00:02:34,320 Speaker 1: interesting because the Sunday New York Times basically wrote an 45 00:02:34,480 --> 00:02:38,280 Speaker 1: entire editorial on behalf of the paper saying, Yeah, Clay 46 00:02:38,320 --> 00:02:42,160 Speaker 1: and Buck were basically write about everything on COVID and 47 00:02:42,320 --> 00:02:46,120 Speaker 1: basically write about everything on crime, and maybe we should 48 00:02:46,160 --> 00:02:49,280 Speaker 1: have been smarter about the way we covered it. That's 49 00:02:49,320 --> 00:02:52,239 Speaker 1: basically what the New York Times said in their editorial. 50 00:02:52,320 --> 00:02:58,640 Speaker 1: Here's the open. The Democrat Party is hemorrhaging voters long 51 00:02:58,720 --> 00:03:02,160 Speaker 1: before they even go to the polls of the thirty 52 00:03:02,280 --> 00:03:07,720 Speaker 1: states that track voter registration by political party, Democrats lost 53 00:03:07,840 --> 00:03:13,400 Speaker 1: ground to Republicans in every single one between the twenty 54 00:03:13,480 --> 00:03:17,560 Speaker 1: twenty and twenty twenty four elections, often by a lot. 55 00:03:18,480 --> 00:03:23,639 Speaker 1: That four year swing towards Republicans adds up to four 56 00:03:23,720 --> 00:03:28,680 Speaker 1: point five million voters, a deep political whole that could 57 00:03:28,720 --> 00:03:32,560 Speaker 1: take years for Democrats to climb out from. And then Buck, 58 00:03:32,639 --> 00:03:37,400 Speaker 1: there is a graphic showing you Democrats losing ground in 59 00:03:37,560 --> 00:03:43,600 Speaker 1: all thirty states while Republicans are gaining ground. And and again, 60 00:03:43,680 --> 00:03:46,440 Speaker 1: one more paragraph here just to contextualize, so you know 61 00:03:46,520 --> 00:03:50,440 Speaker 1: what Democrats are reading this morning. The stampede away from 62 00:03:50,440 --> 00:03:54,520 Speaker 1: the Democrat Party is occurring in battleground states, the bluest 63 00:03:54,520 --> 00:03:59,800 Speaker 1: states and the reddest states too, according to voter registration 64 00:04:00,040 --> 00:04:04,080 Speaker 1: data analyzed by the New York Times. And the data 65 00:04:04,080 --> 00:04:08,640 Speaker 1: comes from a non part is in data factory. So 66 00:04:10,920 --> 00:04:15,400 Speaker 1: this is interesting when you think about buck what is 67 00:04:15,480 --> 00:04:18,920 Speaker 1: going on in the larger country. I feel like I've 68 00:04:18,920 --> 00:04:21,640 Speaker 1: seen it for a while because the Democrat Party, it's 69 00:04:21,680 --> 00:04:24,400 Speaker 1: basically an insult to call someone a Democrat if you're 70 00:04:24,400 --> 00:04:27,520 Speaker 1: a young man. We made jokes about this when I 71 00:04:27,760 --> 00:04:31,000 Speaker 1: uh fraternities. Instead of making jokes about your mom with 72 00:04:31,040 --> 00:04:34,080 Speaker 1: the banners outside of the house this fall, we're saying 73 00:04:34,440 --> 00:04:38,200 Speaker 1: their opponents vote Democrat. The culture has shifted in a 74 00:04:38,200 --> 00:04:39,920 Speaker 1: major way. Yes. 75 00:04:40,360 --> 00:04:42,760 Speaker 2: Now, if you're at the frat house and some guy 76 00:04:42,960 --> 00:04:45,680 Speaker 2: swings and misses, you say, you swing that withfleball bat 77 00:04:45,720 --> 00:04:46,520 Speaker 2: like Democrat. 78 00:04:46,720 --> 00:04:47,320 Speaker 1: It's not good. 79 00:04:47,440 --> 00:04:50,520 Speaker 2: It's not good. Yeah. And this whole article to look 80 00:04:50,560 --> 00:04:52,360 Speaker 2: the data in the I'm gonna tell you this right now. 81 00:04:53,040 --> 00:04:56,440 Speaker 2: This article is a joy. It is a joy to read. 82 00:04:57,279 --> 00:04:59,159 Speaker 2: I read it more than once. That's how much. And 83 00:04:59,200 --> 00:05:01,000 Speaker 2: this is a New York Times, a big piece from 84 00:05:01,000 --> 00:05:05,320 Speaker 2: the New York Times. This is injected straight into my veins, 85 00:05:05,400 --> 00:05:09,119 Speaker 2: take this data and put it right into the heart 86 00:05:09,200 --> 00:05:13,200 Speaker 2: of the American populace. This is great stuff. Some of 87 00:05:13,240 --> 00:05:15,080 Speaker 2: the things I pulled from this in the specifics, the 88 00:05:15,480 --> 00:05:16,920 Speaker 2: long and the short of it, as you laid out, 89 00:05:17,000 --> 00:05:21,359 Speaker 2: is party registration, which Democrats are used to having an advantage. 90 00:05:21,440 --> 00:05:24,359 Speaker 2: And one of the reasons why they didn't really detail 91 00:05:24,360 --> 00:05:27,479 Speaker 2: this in the article is Democrats have been running this 92 00:05:27,839 --> 00:05:32,600 Speaker 2: voter registration industrial complex that is a non that they 93 00:05:32,680 --> 00:05:37,960 Speaker 2: use nonprofits, so tax advantaged here. Okay, they're using nonprofits 94 00:05:38,640 --> 00:05:41,479 Speaker 2: in order to get people to sign up and vote, 95 00:05:41,800 --> 00:05:44,719 Speaker 2: but they do it in a way that they know 96 00:05:44,839 --> 00:05:47,600 Speaker 2: they're going to get more Democrats, right, So it's, oh, 97 00:05:47,640 --> 00:05:49,880 Speaker 2: we're just to get out the vote effort, right, And 98 00:05:49,920 --> 00:05:52,200 Speaker 2: you've seen celebrities doing this in the past and stuff, 99 00:05:52,240 --> 00:05:54,760 Speaker 2: but it's always wink wink, we're gonna do this in 100 00:05:55,240 --> 00:06:00,000 Speaker 2: you know, in Philadelphia, in New York, in Los Angeles. 101 00:06:00,000 --> 00:06:01,920 Speaker 2: It's like they're doing it in places where they figure 102 00:06:02,240 --> 00:06:05,800 Speaker 2: we're going to overwhelmingly be registering Democrats to vote. Well, 103 00:06:05,839 --> 00:06:09,560 Speaker 2: the problem is now they can't count play on just 104 00:06:09,640 --> 00:06:13,039 Speaker 2: a blanket registration effort in these areas, especially when they're 105 00:06:13,040 --> 00:06:17,560 Speaker 2: going after let's say Latino voters, they can't count on 106 00:06:17,640 --> 00:06:19,760 Speaker 2: it benefiting Democrats, so they're going to a whole On 107 00:06:19,839 --> 00:06:22,960 Speaker 2: a second, our scam isn't working the way that it 108 00:06:23,040 --> 00:06:26,960 Speaker 2: used to. Miami Dade County, for example, the number of 109 00:06:27,000 --> 00:06:32,239 Speaker 2: active Republican voters zoomed past Democrats after Trump became the 110 00:06:32,880 --> 00:06:37,479 Speaker 2: Republican nominee. As recently as November twenty twenty, my home 111 00:06:37,520 --> 00:06:41,480 Speaker 2: county of Miami Dade, Clay Democrats had a two hundred 112 00:06:41,760 --> 00:06:48,680 Speaker 2: thousand in one county, two hundred thousand registered voter advantage. Yeah, 113 00:06:48,720 --> 00:06:50,800 Speaker 2: there are you know, most counties don't even have you know, 114 00:06:50,880 --> 00:06:52,279 Speaker 2: the two hundred thousand voters. 115 00:06:52,440 --> 00:06:53,200 Speaker 1: I mean, you see this. 116 00:06:53,560 --> 00:06:58,159 Speaker 2: North Carolina state records show the Democrat advantage there was 117 00:06:58,520 --> 00:07:03,839 Speaker 2: four hundred thousand in twenty twenty. It's now basically more 118 00:07:03,920 --> 00:07:06,200 Speaker 2: or less a tide that they've got seventeen thousand voters. 119 00:07:06,240 --> 00:07:07,839 Speaker 2: I mean, that's like not not going to make a 120 00:07:07,880 --> 00:07:13,640 Speaker 2: huge difference. So this is five alarm fire time for 121 00:07:13,960 --> 00:07:15,960 Speaker 2: Is that the most alarms for a fire? Think it 122 00:07:16,040 --> 00:07:16,360 Speaker 2: is right? 123 00:07:16,880 --> 00:07:17,920 Speaker 1: There is a four alarm fire. 124 00:07:18,000 --> 00:07:19,840 Speaker 2: Five alarm fire. We got a lot of firefighters. You 125 00:07:19,880 --> 00:07:22,080 Speaker 2: guys can write it and tell I think it's five alarm, right. 126 00:07:22,120 --> 00:07:23,720 Speaker 2: I think it's five alarm right. I think that's a 127 00:07:23,720 --> 00:07:26,280 Speaker 2: big scary fire. Yeah, this is a big scary fire 128 00:07:26,320 --> 00:07:30,000 Speaker 2: for Democrats. For us, we are roasting marshmallows and enjoying 129 00:07:30,480 --> 00:07:32,960 Speaker 2: all of this. This is fantastic and it goes to 130 00:07:33,000 --> 00:07:36,360 Speaker 2: everything we talk about, as you said, the anti masculine, 131 00:07:36,600 --> 00:07:43,080 Speaker 2: anti white misjudging, the Latino misjudging, the young black male vote. 132 00:07:43,120 --> 00:07:45,960 Speaker 2: I mean they they are in free fall. And the 133 00:07:46,000 --> 00:07:49,080 Speaker 2: great thing is clay. There's no signs of its stopping. 134 00:07:49,120 --> 00:07:52,200 Speaker 2: It just keeps getting worse, and they won't change their messaging. 135 00:07:52,400 --> 00:07:55,160 Speaker 2: They keep pushing for let's have you know, two hundred 136 00:07:55,200 --> 00:07:58,080 Speaker 2: pound guys playing on the women's athletics team in high school. 137 00:07:58,680 --> 00:08:01,480 Speaker 1: Yeah, and I do. I think this is so. By 138 00:08:01,480 --> 00:08:04,480 Speaker 1: the way, one bit of news on this thirty states. 139 00:08:04,520 --> 00:08:06,120 Speaker 1: You might be saying, Okay, what happened in the other 140 00:08:06,240 --> 00:08:11,000 Speaker 1: twenty states. The other twenty states don't have party official registration. 141 00:08:11,600 --> 00:08:15,160 Speaker 1: So in my state of Tennessee, for instance, you walk 142 00:08:15,320 --> 00:08:18,720 Speaker 1: in on a primary and pick which side you want 143 00:08:18,760 --> 00:08:22,560 Speaker 1: to vote in, so there isn't official party registration. Some 144 00:08:22,720 --> 00:08:27,640 Speaker 1: places have registered Democrats, some places have registered Republicans. Twenty 145 00:08:27,680 --> 00:08:30,320 Speaker 1: states do not, so they only have a thirty state 146 00:08:30,520 --> 00:08:34,480 Speaker 1: data set. But this, to me, buck it corresponds with 147 00:08:34,920 --> 00:08:39,360 Speaker 1: all fifty states moved redder. If all thirty states are 148 00:08:39,440 --> 00:08:42,840 Speaker 1: hemorrhaging Democrats such that The New York Times is writing 149 00:08:42,880 --> 00:08:46,520 Speaker 1: about it and adding Republicans, it is a sign of 150 00:08:46,559 --> 00:08:50,200 Speaker 1: a profound cultural shift. And I think the numbers are 151 00:08:50,240 --> 00:08:52,400 Speaker 1: actually going to get worse. And this is why we 152 00:08:52,520 --> 00:08:55,800 Speaker 1: had this conversation. In the wake of losing in twenty 153 00:08:55,840 --> 00:09:00,960 Speaker 1: twenty four, Democrats had a real choice. Do we look 154 00:09:01,000 --> 00:09:05,240 Speaker 1: ourselves in the mirror and say, boy, voters by and 155 00:09:05,360 --> 00:09:10,960 Speaker 1: large rejected us, or do they say this is just 156 00:09:11,000 --> 00:09:14,560 Speaker 1: a sign that our message is not getting through. Those 157 00:09:14,600 --> 00:09:18,640 Speaker 1: are the only two paths, right. The first one is 158 00:09:18,720 --> 00:09:23,080 Speaker 1: hard because it requires you to say, boy, this is 159 00:09:23,160 --> 00:09:27,320 Speaker 1: on us. The second one you put it on the voters. 160 00:09:27,960 --> 00:09:30,520 Speaker 1: I think we've gotten a result so far, six months 161 00:09:30,520 --> 00:09:36,120 Speaker 1: after Trump won, Democrats have decided their message just didn't 162 00:09:36,160 --> 00:09:41,800 Speaker 1: get through, and they have as a result, doubled, tripled, 163 00:09:42,240 --> 00:09:47,679 Speaker 1: quadrupled down on crazy And they're saying, well, they're ignoring 164 00:09:47,760 --> 00:09:52,240 Speaker 1: the fact that Kamala outspent Trump. They're ignoring the fact 165 00:09:52,400 --> 00:09:58,720 Speaker 1: that voters, I believe, heard, listened, analyzed, and rejected the 166 00:09:58,960 --> 00:10:02,800 Speaker 1: arguments being made by the Democrat Party, and overwhelmingly chose 167 00:10:02,880 --> 00:10:05,920 Speaker 1: the Republican Party instead. And here's what I think is 168 00:10:05,920 --> 00:10:08,160 Speaker 1: particularly ominous, Buck, I think there are two things that 169 00:10:08,200 --> 00:10:12,439 Speaker 1: are particularly ominous about this data. One, the two most 170 00:10:12,520 --> 00:10:17,640 Speaker 1: Republican groups in the twenty twenty four election were men 171 00:10:18,000 --> 00:10:22,960 Speaker 1: under thirty and men over sixty five. I bet that 172 00:10:23,000 --> 00:10:26,760 Speaker 1: has never happened in the history of this country. And 173 00:10:26,840 --> 00:10:29,120 Speaker 1: I think a lot of people are still not recognizing it, 174 00:10:29,480 --> 00:10:33,800 Speaker 1: which means that the data, as kids are getting younger, 175 00:10:34,320 --> 00:10:37,880 Speaker 1: instead of working in Democrat favor, is actually working against them. 176 00:10:37,920 --> 00:10:39,920 Speaker 1: And I'll come into the Travis Holts household and give 177 00:10:39,960 --> 00:10:43,600 Speaker 1: you an example on this. My fourteen year old blew 178 00:10:43,679 --> 00:10:46,240 Speaker 1: my mind because I'm I can't believe that I'm going 179 00:10:46,320 --> 00:10:49,480 Speaker 1: to have two grown adult sons by the next election. 180 00:10:50,040 --> 00:10:53,360 Speaker 1: He told me, right after twenty twenty four, Dad, all 181 00:10:53,440 --> 00:10:57,960 Speaker 1: my friends cannot wait to be eighteen so we can 182 00:10:58,040 --> 00:11:02,880 Speaker 1: vote against Democrats in twenty twenty eight. These are fourteen 183 00:11:02,960 --> 00:11:06,760 Speaker 1: year old boys that will be eighteen. This is right now, 184 00:11:06,880 --> 00:11:10,400 Speaker 1: rising ninth graders, and there's a lot of these kids 185 00:11:10,800 --> 00:11:14,920 Speaker 1: they are overwhelmingly indexing a Republican just like their older 186 00:11:14,960 --> 00:11:18,600 Speaker 1: brothers did, just like is happening out there. So I 187 00:11:18,600 --> 00:11:21,120 Speaker 1: think the numbers are getting worse. That's point one for 188 00:11:21,240 --> 00:11:24,400 Speaker 1: younger two. And this is really transformative. And I know 189 00:11:24,440 --> 00:11:27,520 Speaker 1: a lot of you out there are part of this group. Asian, 190 00:11:27,840 --> 00:11:33,599 Speaker 1: Hispanic and Black voters are increasingly moving towards the Republican 191 00:11:33,760 --> 00:11:38,080 Speaker 1: side because culturally they are more male than they are 192 00:11:38,200 --> 00:11:42,839 Speaker 1: Democrat and that men are saying we're done with the craziness. 193 00:11:42,920 --> 00:11:44,680 Speaker 1: So I think both of those things are huge, not 194 00:11:44,760 --> 00:11:46,479 Speaker 1: only now but looking forward. 195 00:11:46,440 --> 00:11:51,440 Speaker 2: And just from a pure power perspective, the general belief 196 00:11:51,559 --> 00:11:56,040 Speaker 2: is that after a presidential election, especially a tightly contested, 197 00:11:56,080 --> 00:11:59,679 Speaker 2: hotly contested one, oh Republicans or rather the party in 198 00:11:59,720 --> 00:12:03,480 Speaker 2: power or Republicans in this case, will get smacked down 199 00:12:03,520 --> 00:12:08,160 Speaker 2: in the midterms. And just also the overall political trend, 200 00:12:08,679 --> 00:12:11,360 Speaker 2: because when you're in power, it's easy for people to 201 00:12:11,400 --> 00:12:13,719 Speaker 2: say you're not doing a good enough job of this, 202 00:12:13,880 --> 00:12:16,200 Speaker 2: and you messed that up, and you know, to be 203 00:12:16,280 --> 00:12:20,960 Speaker 2: the political complainers. Tends to work right that the opposition 204 00:12:21,080 --> 00:12:23,720 Speaker 2: party gets to say, you're not delivering, you're not and 205 00:12:23,760 --> 00:12:27,200 Speaker 2: we've gotten used to that as our framework for politics 206 00:12:27,200 --> 00:12:29,520 Speaker 2: in this country, certainly at the national level. Here's and 207 00:12:29,800 --> 00:12:32,800 Speaker 2: let me add that happened in twenty sixteen, twenty seventeen. 208 00:12:32,840 --> 00:12:36,120 Speaker 2: Going into that twenty eighteen midterms, it was Trump hasn't delivered, 209 00:12:36,160 --> 00:12:38,280 Speaker 2: They hadn't built the wall, they hadn't done this and that, 210 00:12:38,480 --> 00:12:41,200 Speaker 2: and they were able to get substantial gains in twenty 211 00:12:41,280 --> 00:12:45,400 Speaker 2: eighteen in the House, and the Democrats were really fired up. 212 00:12:45,400 --> 00:12:48,160 Speaker 2: Obviously about twenty twenty. You could tell already by that 213 00:12:48,240 --> 00:12:52,000 Speaker 2: midterm Clay, that's not happening this time. And this is 214 00:12:52,000 --> 00:12:55,000 Speaker 2: what I think is so concerning to the Democrats and 215 00:12:55,080 --> 00:12:57,840 Speaker 2: so amazing for the rest of us, is that they're 216 00:12:57,920 --> 00:13:03,280 Speaker 2: not seeing the general the general prevailing trends post this 217 00:13:03,440 --> 00:13:07,520 Speaker 2: election are not okay. Democrats are going to snap back, 218 00:13:07,880 --> 00:13:09,920 Speaker 2: Democrats are going to counterattack. 219 00:13:10,000 --> 00:13:10,240 Speaker 1: Here. 220 00:13:10,760 --> 00:13:13,720 Speaker 2: It's getting worse for them. Ye, Trump's been president for 221 00:13:13,800 --> 00:13:16,400 Speaker 2: seven months and things are getting better for Trump and 222 00:13:16,440 --> 00:13:20,400 Speaker 2: worse for Democrats right away in all the numbers and 223 00:13:20,480 --> 00:13:22,960 Speaker 2: all the metrics that they can see. I mean, here's 224 00:13:23,000 --> 00:13:28,839 Speaker 2: one we didn't mention this battleground states Arizona, Nevada, North Carolina, Pennsylvania. 225 00:13:28,960 --> 00:13:33,600 Speaker 2: Democrats are losing support in all of those states and 226 00:13:33,679 --> 00:13:37,000 Speaker 2: continuing to bleed support based on voter register member not 227 00:13:37,040 --> 00:13:38,680 Speaker 2: all states have voter registration. What is it. 228 00:13:38,800 --> 00:13:43,680 Speaker 1: It's like, uh, thirty, thirty out of thirty out of fifty, 229 00:13:43,720 --> 00:13:46,679 Speaker 1: so I'm not a register anything in my state. 230 00:13:46,640 --> 00:13:49,719 Speaker 2: So so twenty do not thirty two. Based on those 231 00:13:49,760 --> 00:13:53,599 Speaker 2: thirty states, though you can look at Arizona, Nevada, North Carolina, Pennsylvania, 232 00:13:54,000 --> 00:13:59,200 Speaker 2: really important states, Democrats are still losing support when it 233 00:13:59,200 --> 00:14:02,240 Speaker 2: comes to voters in those places. And they're also losing 234 00:14:02,240 --> 00:14:06,199 Speaker 2: support when you look at voter switches, people that were 235 00:14:06,200 --> 00:14:09,800 Speaker 2: Democrats and come to Republican side, or Republicans who go 236 00:14:09,840 --> 00:14:13,520 Speaker 2: in the other direction. More Democrats are leaving the Democrat party. 237 00:14:14,440 --> 00:14:16,080 Speaker 2: I don't know how this article could be worse for 238 00:14:16,080 --> 00:14:18,120 Speaker 2: Democrats right now. Quite there was not a single silver 239 00:14:18,200 --> 00:14:20,360 Speaker 2: lining anywhere anywhere, full stop. 240 00:14:20,400 --> 00:14:21,200 Speaker 1: It was a total. 241 00:14:21,840 --> 00:14:23,960 Speaker 2: It was a delicious nightmare for them. I loved everything. 242 00:14:24,120 --> 00:14:26,040 Speaker 1: By the way. One state that I think is not 243 00:14:26,040 --> 00:14:28,520 Speaker 1: getting enough attention that is emblematic of this, maybe more 244 00:14:28,560 --> 00:14:34,000 Speaker 1: than most Nevada. In Nevada, Democrats suffered the steepest percentage 245 00:14:34,040 --> 00:14:37,960 Speaker 1: point plunge of any state other than West Virginia. West 246 00:14:38,040 --> 00:14:44,040 Speaker 1: Virginia's pretty red place. Nevada swung massively to the Republican Party. 247 00:14:44,120 --> 00:14:47,040 Speaker 1: I think there's an argument that Nevada is really teed 248 00:14:47,120 --> 00:14:50,120 Speaker 1: up to become rock ribbed red. 249 00:14:50,240 --> 00:14:52,640 Speaker 2: Well, I have a theory on West Virginia. Actually, let 250 00:14:52,680 --> 00:14:53,840 Speaker 2: me come back into the I have a theory. I 251 00:14:53,880 --> 00:14:56,600 Speaker 2: think that West Virginia data is much more important even 252 00:14:56,640 --> 00:14:58,760 Speaker 2: than the article suggests. We'll come back into this in 253 00:14:59,040 --> 00:14:59,480 Speaker 2: a second. 254 00:14:59,720 --> 00:14:59,920 Speaker 1: Look. 255 00:15:00,000 --> 00:15:02,400 Speaker 2: There's only so many hours in the day where you 256 00:15:02,440 --> 00:15:03,960 Speaker 2: can be thinking about what can I do for my 257 00:15:04,000 --> 00:15:07,960 Speaker 2: long term financial health? But the benefits are worth it, 258 00:15:08,000 --> 00:15:09,600 Speaker 2: and you need to take a long term view, a 259 00:15:09,680 --> 00:15:13,000 Speaker 2: long term plan. This isn't about day trading, getting in, 260 00:15:13,040 --> 00:15:15,560 Speaker 2: getting out, making quick decisions like that. That's generally not 261 00:15:15,600 --> 00:15:17,160 Speaker 2: a good idea for most folks, and you don't have 262 00:15:17,160 --> 00:15:19,760 Speaker 2: the time for that. What about something that makes sense 263 00:15:19,840 --> 00:15:23,040 Speaker 2: over the long term, maybe the longest term. I mean 264 00:15:23,120 --> 00:15:25,760 Speaker 2: something that has had value for as long as there 265 00:15:25,800 --> 00:15:27,320 Speaker 2: have been economies. 266 00:15:27,760 --> 00:15:28,480 Speaker 1: Gold. 267 00:15:28,640 --> 00:15:31,360 Speaker 2: The value of gold in just the last year has 268 00:15:31,360 --> 00:15:34,280 Speaker 2: gone up about forty percent, and central banks around the 269 00:15:34,280 --> 00:15:37,440 Speaker 2: world are buying gold to back their currencies, and there's 270 00:15:37,560 --> 00:15:42,760 Speaker 2: continued erosion of fiat currencies, including here at home. Unfortunately, 271 00:15:42,880 --> 00:15:45,080 Speaker 2: because of all the spending and all the debt. This 272 00:15:45,200 --> 00:15:49,280 Speaker 2: is why gold as a portion of your portfolio makes sense. 273 00:15:49,520 --> 00:15:52,640 Speaker 2: Birch Gold Group makes owning physical gold very easy. They 274 00:15:52,640 --> 00:15:55,400 Speaker 2: can convert an existing IRA or four oh one k 275 00:15:55,520 --> 00:15:57,960 Speaker 2: into a tax sheltered IRA with physical gold. So if 276 00:15:58,000 --> 00:15:59,400 Speaker 2: you've got an old job and you've got some four 277 00:15:59,400 --> 00:16:01,600 Speaker 2: to one case around, you know, maybe you got you know, 278 00:16:01,680 --> 00:16:03,720 Speaker 2: ten grand, fifty grand, whatever it is in that four 279 00:16:03,800 --> 00:16:06,120 Speaker 2: oh one k, you're not doing much with it. Converting 280 00:16:06,120 --> 00:16:09,160 Speaker 2: that into gold can make a lot of sense. Also, 281 00:16:09,240 --> 00:16:11,320 Speaker 2: you can just buy gold and keep it. And I 282 00:16:11,320 --> 00:16:12,800 Speaker 2: have done that, and guess what. The gold that I've 283 00:16:12,840 --> 00:16:15,080 Speaker 2: bought is worth a lot more. Now. Text my name 284 00:16:15,160 --> 00:16:17,640 Speaker 2: Buck to ninety eight ninety eight ninety eight and Birch 285 00:16:17,680 --> 00:16:20,880 Speaker 2: Gold will send you a free infoKit on gold again. 286 00:16:20,960 --> 00:16:23,920 Speaker 2: Text Buck to ninety eight ninety eight ninety eight to 287 00:16:23,960 --> 00:16:25,560 Speaker 2: get started with Birch Gold Group. 288 00:16:25,600 --> 00:16:30,920 Speaker 3: Today, Clay Travis and Buck Sexton Mike drops that never 289 00:16:31,120 --> 00:16:35,360 Speaker 3: sounded so good. Find them on the free iHeartRadio app 290 00:16:35,560 --> 00:16:37,440 Speaker 3: or wherever you get your podcasts. 291 00:16:37,880 --> 00:16:40,160 Speaker 2: Welcome back into Clay and Buff. We're looking at these 292 00:16:40,800 --> 00:16:46,160 Speaker 2: really interesting trends on party registration, which are a great 293 00:16:46,240 --> 00:16:49,880 Speaker 2: thing for the Republicans, And I would just say this, Clay. 294 00:16:50,680 --> 00:16:53,680 Speaker 2: You said that the trend, the trend for the Democrat 295 00:16:53,800 --> 00:16:57,600 Speaker 2: Party is terrible in Nevada, which is obviously an important 296 00:16:57,600 --> 00:17:00,200 Speaker 2: swing state, and the only place it's been worse was 297 00:17:00,200 --> 00:17:06,159 Speaker 2: West Virginia. And I think that's because the increasingly people 298 00:17:06,240 --> 00:17:12,800 Speaker 2: see the Joe Biden blue dog, gun toting Democrat mythology 299 00:17:12,840 --> 00:17:15,000 Speaker 2: as just that I mean is there's no such thing 300 00:17:15,000 --> 00:17:18,840 Speaker 2: as a moderate Democrat really anymore, not of any significance. 301 00:17:18,880 --> 00:17:21,359 Speaker 2: They carry no weight in the party, and nobody cares 302 00:17:21,359 --> 00:17:24,880 Speaker 2: what they think in the Democrat Party. So I think 303 00:17:24,960 --> 00:17:28,439 Speaker 2: that that's why you're seeing, you know, the numbers in 304 00:17:28,480 --> 00:17:32,080 Speaker 2: West Virginia just going through the roof for Republicans, and 305 00:17:32,119 --> 00:17:34,520 Speaker 2: particularly in this last election with Trump won seventy to 306 00:17:34,560 --> 00:17:39,080 Speaker 2: thirty in West Virginia this last time around, and that's 307 00:17:39,119 --> 00:17:42,440 Speaker 2: only going to continue as well, because Democrat, you can't 308 00:17:42,440 --> 00:17:44,280 Speaker 2: be a Democrat to be pro gun in pro life. 309 00:17:44,720 --> 00:17:46,720 Speaker 2: They used to pull that off in some places. It 310 00:17:46,720 --> 00:17:48,040 Speaker 2: doesn't exist really anymore. 311 00:17:48,720 --> 00:17:50,600 Speaker 1: We'll talk more about this, because I do think it's 312 00:17:50,640 --> 00:17:53,560 Speaker 1: profound and I think a lot of Democrats are waking 313 00:17:53,680 --> 00:17:56,080 Speaker 1: up this morning and reading their morning New York Times 314 00:17:56,160 --> 00:17:59,560 Speaker 1: and saying, my goodness, the country is a lot different 315 00:17:59,560 --> 00:18:03,159 Speaker 1: than New York. In La, identity theft happens to tens 316 00:18:03,160 --> 00:18:06,360 Speaker 1: of millions of people every year. Cyber thieves hack into 317 00:18:06,400 --> 00:18:10,719 Speaker 1: a company database and steal your info. They snatch names, addresses, 318 00:18:10,800 --> 00:18:14,639 Speaker 1: perth dates, even social security numbers. Lately, it's been happening 319 00:18:14,680 --> 00:18:17,080 Speaker 1: to a lot of airlines, so if you've flown anywhere 320 00:18:17,119 --> 00:18:19,280 Speaker 1: in the last year, you might be at risk. It's 321 00:18:19,359 --> 00:18:22,680 Speaker 1: important to understand how cybercrime and identity theft are affecting 322 00:18:22,680 --> 00:18:27,760 Speaker 1: our lives. You can protect yourself with lifelocks identity theft protection. 323 00:18:28,320 --> 00:18:31,199 Speaker 1: If you become a victim of identity theft, a dedicated 324 00:18:31,359 --> 00:18:35,560 Speaker 1: US based restoration specialist at LifeLock will help you fix 325 00:18:35,640 --> 00:18:39,439 Speaker 1: it guaranteed or your money back. Become a LifeLock member 326 00:18:39,520 --> 00:18:42,960 Speaker 1: if you haven't already joined, now, say forty percent off 327 00:18:43,000 --> 00:18:46,399 Speaker 1: your first year with promo code Clay call one eight 328 00:18:46,480 --> 00:18:49,919 Speaker 1: hundred LifeLock. You can also go online to LifeLock dot com. 329 00:18:49,920 --> 00:18:53,000 Speaker 1: My name Clay as the promo code for forty percent off. 330 00:18:53,040 --> 00:18:57,639 Speaker 1: That's LifeLock dot com promo code Clay Welcome back in Clay, Travis, 331 00:18:57,680 --> 00:19:01,000 Speaker 1: but Sexton Show. Appreciate all of you hanging out with us. 332 00:19:01,080 --> 00:19:06,000 Speaker 1: We are talking about the challenge that Democrats suddenly find 333 00:19:06,040 --> 00:19:09,320 Speaker 1: themselves in the midst of as The New York Times 334 00:19:09,600 --> 00:19:13,359 Speaker 1: is saying, Hey, this is a this is a mess 335 00:19:13,800 --> 00:19:20,360 Speaker 1: for you guys, and one of the uh I would say, 336 00:19:20,359 --> 00:19:23,960 Speaker 1: big issues associated with this going forward, I wanted to 337 00:19:23,960 --> 00:19:31,119 Speaker 1: come back to it is Democrats are unwilling to recognize 338 00:19:31,520 --> 00:19:36,040 Speaker 1: that their message was heard and basically universally rejected by 339 00:19:36,119 --> 00:19:39,119 Speaker 1: voters in all fifty states. So my question for you, 340 00:19:39,240 --> 00:19:43,160 Speaker 1: Buck is now that let me say this, that doesn't 341 00:19:43,200 --> 00:19:49,040 Speaker 1: mean that Democrats may not win in Virginia, doesn't mean 342 00:19:49,080 --> 00:19:54,200 Speaker 1: that Democrats may not win in New Jersey. Doesn't even 343 00:19:54,240 --> 00:19:56,760 Speaker 1: mean next year Democrats might not have a chance to 344 00:19:56,800 --> 00:19:59,280 Speaker 1: take back the House. Right, the trend lines can all 345 00:19:59,320 --> 00:20:03,160 Speaker 1: be moving again them and turnout can still be significant. 346 00:20:04,000 --> 00:20:06,640 Speaker 1: But I wanted to hit this because I think it's 347 00:20:06,680 --> 00:20:11,200 Speaker 1: so important. For a long time, you heard, oh, turnout 348 00:20:11,200 --> 00:20:15,159 Speaker 1: favors democrats. Turnout favors democrats. How many times have you 349 00:20:15,200 --> 00:20:18,240 Speaker 1: guys heard that? The data on the twenty twenty four 350 00:20:18,320 --> 00:20:24,600 Speaker 1: election actually shows if every eligible American had voted, Trump 351 00:20:24,640 --> 00:20:27,800 Speaker 1: would have won by more. Let me repeat that, because 352 00:20:27,800 --> 00:20:31,639 Speaker 1: I think it has not come through Trump's margin and 353 00:20:31,720 --> 00:20:37,080 Speaker 1: the popular vote would have become more substantial if everybody 354 00:20:37,080 --> 00:20:40,480 Speaker 1: who didn't vote actually had gone out and voted well. 355 00:20:40,560 --> 00:20:45,040 Speaker 2: And the talking point about if everyone voted, Democrats would 356 00:20:45,040 --> 00:20:47,200 Speaker 2: win by more. This was a little bit like their 357 00:20:47,240 --> 00:20:52,399 Speaker 2: selective love of the popular vote, particularly in the Bush 358 00:20:52,480 --> 00:20:56,080 Speaker 2: Gore contest and then Hillary Trump, which is, we know 359 00:20:56,160 --> 00:20:58,959 Speaker 2: that's not the contest you're running, so it doesn't matter, right. 360 00:20:58,960 --> 00:21:02,240 Speaker 2: I mean, if if you're playing first one to twenty one, 361 00:21:03,000 --> 00:21:06,359 Speaker 2: you can't say, well, the ten minute quarter has ended, 362 00:21:06,400 --> 00:21:09,040 Speaker 2: so I win. Like you've got to set the rules 363 00:21:09,080 --> 00:21:11,399 Speaker 2: and then you've got to see where things go. But 364 00:21:11,520 --> 00:21:13,679 Speaker 2: they say this, and they've been telling themselves this for 365 00:21:13,720 --> 00:21:16,480 Speaker 2: a long time, and I think because of the dominance 366 00:21:16,480 --> 00:21:21,840 Speaker 2: that they had in the broad spectrum legacy media, they 367 00:21:21,840 --> 00:21:25,840 Speaker 2: were able to convince themselves of this. And and really 368 00:21:26,000 --> 00:21:28,800 Speaker 2: with COVID, you got to see. This is why I 369 00:21:28,880 --> 00:21:31,520 Speaker 2: think COVID was such an important moment for the country. 370 00:21:31,560 --> 00:21:33,840 Speaker 2: I mean, I still think about it. I'm still angry 371 00:21:33,840 --> 00:21:36,840 Speaker 2: about it. By the way legitimately get I get ticked 372 00:21:36,880 --> 00:21:40,080 Speaker 2: off when I think about things that happened during COVID 373 00:21:40,480 --> 00:21:42,439 Speaker 2: that Democrats did to us, and then a lot of 374 00:21:42,440 --> 00:21:46,720 Speaker 2: Republicans were too cowardly to stop. I might add, but 375 00:21:47,200 --> 00:21:52,960 Speaker 2: that was the Democrat Party, unleashed, unrestrained. That was what 376 00:21:53,119 --> 00:21:56,000 Speaker 2: they really are, which is, you shut up. We're gonna 377 00:21:56,080 --> 00:21:58,440 Speaker 2: lie to you, We're going to kick you off the internet, 378 00:21:58,520 --> 00:22:00,919 Speaker 2: We're going to use government for to lock you in 379 00:22:01,000 --> 00:22:03,440 Speaker 2: your homes. We're gonna use government force to shut down 380 00:22:03,720 --> 00:22:06,199 Speaker 2: We're gonna do all these things, and we're gonna be 381 00:22:06,320 --> 00:22:09,040 Speaker 2: unrepentant about it when it all has shown that it 382 00:22:09,119 --> 00:22:13,960 Speaker 2: was wrong, unnecessary, and just destructive. And then we're gonna 383 00:22:14,040 --> 00:22:15,679 Speaker 2: keep telling you, well, you know, you still have to 384 00:22:15,680 --> 00:22:18,000 Speaker 2: say that a man can become a woman. Then we're 385 00:22:18,000 --> 00:22:21,119 Speaker 2: gonna keep telling you you still have to say that unrestricted, 386 00:22:21,520 --> 00:22:24,919 Speaker 2: open borders aren't a bad thing for the country, or 387 00:22:24,920 --> 00:22:29,160 Speaker 2: for any country for that matter. They decided that they 388 00:22:29,160 --> 00:22:31,960 Speaker 2: were going to go for it and put themselves in 389 00:22:32,000 --> 00:22:36,359 Speaker 2: a position where they could dictate what reality was, and 390 00:22:36,400 --> 00:22:40,240 Speaker 2: they were wrong. And now they're seeing the pushback, the 391 00:22:40,320 --> 00:22:43,360 Speaker 2: counter attack and everything that needs to happen is happening. 392 00:22:44,200 --> 00:22:46,600 Speaker 1: I think two things tie in with this too. One, 393 00:22:46,960 --> 00:22:50,679 Speaker 1: I think Trump has become a much more sophisticated politician. 394 00:22:51,640 --> 00:22:55,680 Speaker 1: I think that his group that surrounds him, his his aids, 395 00:22:56,000 --> 00:22:59,720 Speaker 1: his cabinet, I think they are smarter. I think they 396 00:22:59,800 --> 00:23:03,159 Speaker 1: are are more reflective of the country and where the 397 00:23:03,160 --> 00:23:06,840 Speaker 1: country stands. And I think Trump has taken advantage of 398 00:23:06,960 --> 00:23:12,480 Speaker 1: the reflective, reflexive anti Trump sentiment to actually just start 399 00:23:12,520 --> 00:23:16,320 Speaker 1: taking positions that are eighty or ninety percent popular to 400 00:23:16,400 --> 00:23:19,720 Speaker 1: see whether Democrats DC crime is a good example, men 401 00:23:19,720 --> 00:23:23,080 Speaker 1: and women in sports are actually willing to continue to 402 00:23:23,200 --> 00:23:25,480 Speaker 1: argue against them, and so far they have been. Here 403 00:23:25,560 --> 00:23:27,080 Speaker 1: is the question that I have for you, Buck, and 404 00:23:27,119 --> 00:23:30,120 Speaker 1: I also have this question for everybody writ large out there. 405 00:23:31,880 --> 00:23:36,560 Speaker 1: If you are unwilling to acknowledge that everybody's hearing your 406 00:23:36,640 --> 00:23:39,679 Speaker 1: message and rejecting it, which is what is happening so 407 00:23:39,760 --> 00:23:43,520 Speaker 1: far with the Democrat Party, is there a truth teller 408 00:23:44,160 --> 00:23:48,000 Speaker 1: on that side of the ledger that is going to 409 00:23:48,119 --> 00:23:54,040 Speaker 1: emerge to redefine what the Democrat Party is or do 410 00:23:54,160 --> 00:23:58,800 Speaker 1: they have to lose again in order to recognize that 411 00:23:58,880 --> 00:24:02,080 Speaker 1: their message is being heard and rejected Because I'll give 412 00:24:02,080 --> 00:24:04,960 Speaker 1: you an example. Buck. Some people are going to say, 413 00:24:05,720 --> 00:24:08,960 Speaker 1: we're just not being left wing enough. That could be 414 00:24:09,040 --> 00:24:11,640 Speaker 1: the lesson to some of these people from Mom Donnie right, 415 00:24:11,720 --> 00:24:15,639 Speaker 1: it is, Hey, basically, let's just become communists. That's what 416 00:24:15,760 --> 00:24:18,720 Speaker 1: has to motivate the base. The real Democrat party has 417 00:24:18,760 --> 00:24:21,400 Speaker 1: never been tried. Yes, basically right? 418 00:24:21,960 --> 00:24:23,120 Speaker 2: Or or. 419 00:24:24,880 --> 00:24:28,199 Speaker 1: Is someone going to emerge who is somewhat of a 420 00:24:28,320 --> 00:24:30,000 Speaker 1: centrist now Gavin Newsom? 421 00:24:30,520 --> 00:24:32,560 Speaker 2: Hah, look at you, look at you. This is the 422 00:24:32,600 --> 00:24:33,560 Speaker 2: next go ahead, go ahead. 423 00:24:33,800 --> 00:24:37,639 Speaker 1: Gavin Newsom has tried to flirt with centrism by saying 424 00:24:38,480 --> 00:24:42,399 Speaker 1: never the right thing, but that he hears the right argument. 425 00:24:42,480 --> 00:24:44,320 Speaker 1: Remember when he was on with Sean Ryan, he said, 426 00:24:45,119 --> 00:24:47,360 Speaker 1: what's your voice? Did I hear you? It's like, yeah, 427 00:24:47,400 --> 00:24:48,160 Speaker 1: it's like I'm hearing. 428 00:24:48,280 --> 00:24:50,800 Speaker 2: I'm hearing what you're saying. I'm getting what you're putting down, 429 00:24:50,880 --> 00:24:53,400 Speaker 2: and the wind through my hair is speaking to all 430 00:24:53,440 --> 00:24:53,720 Speaker 2: of us. 431 00:24:54,080 --> 00:24:59,120 Speaker 1: I'm hearing what you're saying. Is an amazing line because 432 00:24:59,280 --> 00:25:02,159 Speaker 1: you don't actually say anything like, of course you're here 433 00:25:02,280 --> 00:25:05,560 Speaker 1: unless you're unless you're deaf. Of course you hear what 434 00:25:05,640 --> 00:25:08,639 Speaker 1: I say, it doesn't mean that you actually agree with it. 435 00:25:08,680 --> 00:25:13,040 Speaker 1: So that's his line. And you know who's actually making 436 00:25:13,119 --> 00:25:17,160 Speaker 1: fun now of Gavin Newsom. This is a guy who 437 00:25:17,200 --> 00:25:19,720 Speaker 1: I think has seen the tea leaves and he will 438 00:25:19,720 --> 00:25:24,240 Speaker 1: blow in whatever direction the wind is blowing. Joe Scarborough, 439 00:25:24,240 --> 00:25:26,879 Speaker 1: who just last year was telling us this was the 440 00:25:26,920 --> 00:25:30,879 Speaker 1: best version of Biden he'd ever seen, now says Gavin 441 00:25:30,920 --> 00:25:33,000 Speaker 1: Newsom's a total fake. Listen to this. 442 00:25:33,400 --> 00:25:36,119 Speaker 4: The Democratic As are trying to find their footing and 443 00:25:36,160 --> 00:25:39,840 Speaker 4: it's it's it's quite embarrassing. Actually, I mean Gavin Newsome, 444 00:25:39,880 --> 00:25:42,080 Speaker 4: I mean, have you seen what he's doing online? And 445 00:25:43,160 --> 00:25:46,159 Speaker 4: just take a deep breath. Don't try to turn this 446 00:25:46,280 --> 00:25:49,040 Speaker 4: ship one hundred and eighty degrees and one. They don't 447 00:25:49,040 --> 00:25:49,640 Speaker 4: know what to do. 448 00:25:49,840 --> 00:25:51,120 Speaker 1: I have a good idea. 449 00:25:51,200 --> 00:25:55,400 Speaker 4: Instead of trying to make school Donald Trump talk into 450 00:25:55,400 --> 00:25:59,760 Speaker 4: the camera about affordability, why try to drag Muhammad Ali 451 00:25:59,760 --> 00:26:01,840 Speaker 4: in the ring when you get Chuck Webner? 452 00:26:01,960 --> 00:26:06,600 Speaker 1: Sandy Wepner is a bleeder. He's a bleeder. You want him? 453 00:26:06,800 --> 00:26:09,400 Speaker 1: So why are you going I'm long after Donald? 454 00:26:09,520 --> 00:26:10,040 Speaker 5: No, you're not. 455 00:26:10,400 --> 00:26:12,679 Speaker 4: You're not running against Donald Trump. 456 00:26:13,200 --> 00:26:15,640 Speaker 2: Joe after Tweedledee are tweedled dumb? 457 00:26:18,000 --> 00:26:20,639 Speaker 1: Who is this is a low level boxer but what 458 00:26:20,640 --> 00:26:24,080 Speaker 1: what I think it's a very low level boxer from like, uh, 459 00:26:24,680 --> 00:26:28,200 Speaker 1: somebody look it up. But the Muhammad Ali as Trump 460 00:26:28,440 --> 00:26:33,960 Speaker 1: is funny because suddenly Trump is a great politician and 461 00:26:34,040 --> 00:26:37,080 Speaker 1: he's a great boxer. In the analogies from He's he 462 00:26:37,600 --> 00:26:40,240 Speaker 1: has kicked. He's kicked an old tactician out there. He's 463 00:26:40,280 --> 00:26:41,919 Speaker 1: kicked their asses. I mean they've had they've had to 464 00:26:41,960 --> 00:26:45,240 Speaker 1: accept Trump. Trump has kicked their asses. Trump has completely 465 00:26:45,280 --> 00:26:48,159 Speaker 1: plowed the Democrat Party Under Clay, we didn't even talk 466 00:26:48,160 --> 00:26:49,960 Speaker 1: about it because of all the big news with Russia 467 00:26:50,000 --> 00:26:51,359 Speaker 1: and all the things going on there. 468 00:26:52,080 --> 00:26:56,720 Speaker 2: Ms NBC has had to change its name. This is real, everybody, 469 00:26:56,720 --> 00:27:01,399 Speaker 2: This is not the onion. MSNBC is now going to 470 00:27:01,480 --> 00:27:06,280 Speaker 2: be called ms now, which honestly sounds like a channel 471 00:27:06,640 --> 00:27:11,680 Speaker 2: dedicated to, you know, unmarried, middle aged women who drink 472 00:27:11,720 --> 00:27:14,600 Speaker 2: a lot of wine and read those novels that are 473 00:27:15,280 --> 00:27:17,240 Speaker 2: you know, by the front register or something at the 474 00:27:17,240 --> 00:27:20,560 Speaker 2: grocery store like ms now. I mean, is this about 475 00:27:20,600 --> 00:27:22,840 Speaker 2: like women's health? Like, what are we talking about? 476 00:27:23,040 --> 00:27:23,359 Speaker 1: Clay? 477 00:27:23,640 --> 00:27:28,199 Speaker 2: He has destroyed CNN, he has destroyed MSNBC. The New 478 00:27:28,359 --> 00:27:31,600 Speaker 2: York Times will never gain back north to Washington Post, 479 00:27:31,640 --> 00:27:34,879 Speaker 2: whatever credibility that they used to have. He has crushed 480 00:27:34,880 --> 00:27:38,520 Speaker 2: the fake media. He has burned their villages and heard 481 00:27:38,560 --> 00:27:41,520 Speaker 2: the lamentations of their women. So yes, they have to 482 00:27:41,600 --> 00:27:43,399 Speaker 2: accept this. But I have a wild idea for you. 483 00:27:44,080 --> 00:27:45,800 Speaker 2: I have a wild idea for you. You ready for 484 00:27:45,840 --> 00:27:46,120 Speaker 2: this one? 485 00:27:46,200 --> 00:27:46,360 Speaker 5: Yeah? 486 00:27:46,359 --> 00:27:48,080 Speaker 2: Oh yeah, I'm putting on I'm putting all my Clay 487 00:27:48,119 --> 00:27:51,000 Speaker 2: Travis at right now. Hey, look at me. I love 488 00:27:51,200 --> 00:27:54,719 Speaker 2: SEC football and I make wild predictions that sometimes come true. 489 00:27:54,800 --> 00:27:57,800 Speaker 2: I'm putting on my Clay hat. Joe Scarborough's media career 490 00:27:57,880 --> 00:28:01,280 Speaker 2: is going nowhere. Joe scar should run for president as 491 00:28:01,280 --> 00:28:04,600 Speaker 2: a Democrat, and I think he sees Gavin Newsom and 492 00:28:04,680 --> 00:28:07,120 Speaker 2: I think he's a little jelly and I think he's 493 00:28:07,160 --> 00:28:10,680 Speaker 2: considering it. I think he's considering it. I don't think 494 00:28:10,720 --> 00:28:13,439 Speaker 2: that that this is I this is a good I 495 00:28:13,440 --> 00:28:14,200 Speaker 2: put on my claim. 496 00:28:14,240 --> 00:28:15,520 Speaker 1: I think this is a good I think this is 497 00:28:15,560 --> 00:28:19,040 Speaker 1: a good take. I actually, I mean Joe Scarborough used 498 00:28:19,040 --> 00:28:22,639 Speaker 1: to be a Republican. He now is redefining himself. He 499 00:28:22,720 --> 00:28:28,120 Speaker 1: called out Democrats for being against more police in DC. Uh. 500 00:28:28,160 --> 00:28:32,440 Speaker 1: He's got the ms now the MSNBC base that likes 501 00:28:32,480 --> 00:28:35,280 Speaker 1: him right there on the most popular show other than Matdow. 502 00:28:36,280 --> 00:28:40,320 Speaker 1: He's obviously in the communication business. We know that he 503 00:28:40,400 --> 00:28:45,880 Speaker 1: has no core belief but that actually might benefit him. 504 00:28:45,920 --> 00:28:48,520 Speaker 1: If all the core beliefs of the Democrat Party are wrong, 505 00:28:48,680 --> 00:28:51,680 Speaker 1: it's easier for someone without core beliefs to take over 506 00:28:51,760 --> 00:28:54,600 Speaker 1: the party. He's perfect, actually, and this is this is 507 00:28:54,640 --> 00:28:58,440 Speaker 1: why Joe Biden was perfect for Democrats in twenty twenty 508 00:28:58,720 --> 00:29:01,440 Speaker 1: because he was old, were scared, he didn't have to 509 00:29:01,440 --> 00:29:05,520 Speaker 1: show up for anything, and he was able to be 510 00:29:05,600 --> 00:29:09,160 Speaker 1: the He was the pretext of the old Democrat Party 511 00:29:09,240 --> 00:29:10,040 Speaker 1: still exists. 512 00:29:10,320 --> 00:29:12,680 Speaker 2: Now we know what happened. He was a dementia puppet 513 00:29:12,800 --> 00:29:17,400 Speaker 2: and you got AOC policies with a Joe Biden facade, right, 514 00:29:17,440 --> 00:29:19,440 Speaker 2: and it was truly a facade because it was like, 515 00:29:19,720 --> 00:29:22,360 Speaker 2: you know, the marionette, like hey here I am everybody, 516 00:29:22,440 --> 00:29:26,080 Speaker 2: I'm talking And so that was what worked for them. 517 00:29:26,200 --> 00:29:30,000 Speaker 2: Then what would work for them now is a slick, 518 00:29:30,480 --> 00:29:36,640 Speaker 2: grinning Gavin Newsom or Joe Scarborough type, soulless but smooth 519 00:29:37,080 --> 00:29:41,800 Speaker 2: individual who can who is good on the stump, who 520 00:29:42,080 --> 00:29:45,120 Speaker 2: knows how to debate, who knows how to do the 521 00:29:45,120 --> 00:29:49,240 Speaker 2: the oleaginist thing up there word of the day and 522 00:29:49,320 --> 00:29:52,360 Speaker 2: I think I think Scarborough and actually Gavin, I think 523 00:29:52,400 --> 00:29:55,000 Speaker 2: Scarborough and Newsom are the same creature. That's what I release. 524 00:29:55,160 --> 00:29:58,760 Speaker 2: And I think Gavin Newsom and Joe Scarborough are such 525 00:29:58,840 --> 00:30:02,880 Speaker 2: egomaniacs that they have what it takes to say absolutely 526 00:30:02,920 --> 00:30:05,880 Speaker 2: anything to win a Democrat primary. That's what I That's 527 00:30:05,880 --> 00:30:07,760 Speaker 2: what that's where I see it. And and you know, 528 00:30:07,800 --> 00:30:10,800 Speaker 2: this would be an opportunity. I'm telling you he would, 529 00:30:10,920 --> 00:30:13,640 Speaker 2: It would get he would do very well in a primary. 530 00:30:13,760 --> 00:30:17,120 Speaker 2: Remember MSNBC there's a they have a strong minority and 531 00:30:17,160 --> 00:30:20,880 Speaker 2: a strong female black viewership for from within the you know, 532 00:30:20,920 --> 00:30:26,360 Speaker 2: the news cohorts, the news industry, and so they they 533 00:30:26,440 --> 00:30:28,680 Speaker 2: know him, they would like him, they would support him. 534 00:30:28,680 --> 00:30:31,440 Speaker 2: I mean, I think I think Scarborough running is not 535 00:30:31,560 --> 00:30:33,560 Speaker 2: as as not a People always say on the right 536 00:30:33,560 --> 00:30:35,240 Speaker 2: the Tucker is gonna run, which I don't think that's 537 00:30:35,240 --> 00:30:38,040 Speaker 2: going to happen. I think Tucker likes what he's doing now. 538 00:30:38,360 --> 00:30:39,680 Speaker 1: But I uh. 539 00:30:40,480 --> 00:30:42,880 Speaker 2: The Scarborough thing, you don't think it's crazy. I put 540 00:30:42,920 --> 00:30:44,680 Speaker 2: my hat on and you agree. 541 00:30:45,160 --> 00:30:48,960 Speaker 1: Well, I've been arguing for some time that it might 542 00:30:49,040 --> 00:30:52,160 Speaker 1: take somebody outside of the Democrat Party, and I think 543 00:30:52,200 --> 00:30:55,800 Speaker 1: in the wake of Trump's success, there will be I 544 00:30:55,800 --> 00:31:00,920 Speaker 1: think multiple non traditional politicians who on the Democrat You. 545 00:31:00,960 --> 00:31:05,680 Speaker 2: Need, you need star power to win a Democrat primary. 546 00:31:05,720 --> 00:31:10,920 Speaker 2: Now it used you can't replicate the brand creation of 547 00:31:11,120 --> 00:31:14,840 Speaker 2: other Democrats that have you know, Biden, the guy's been 548 00:31:14,840 --> 00:31:16,920 Speaker 2: in politics longer than you and I have been alive. 549 00:31:17,520 --> 00:31:22,040 Speaker 2: And so that name recognition is effectively similar to the 550 00:31:23,080 --> 00:31:26,280 Speaker 2: you know, the celebrity status. Right, You're not going to 551 00:31:26,360 --> 00:31:29,600 Speaker 2: get somebody who comes up now who doesn't have star 552 00:31:29,760 --> 00:31:32,120 Speaker 2: power and wins a Democrat primary. This is again why 553 00:31:32,120 --> 00:31:35,600 Speaker 2: I think AOC is certainly a vice president in waiting, 554 00:31:35,800 --> 00:31:38,160 Speaker 2: and I think that that's where the Democrats are heading. 555 00:31:38,560 --> 00:31:38,720 Speaker 5: Well. 556 00:31:38,800 --> 00:31:42,120 Speaker 1: The reason I like the Scarborough angle, right the outsider 557 00:31:42,360 --> 00:31:45,959 Speaker 1: is this is my art, this is my assertion. In 558 00:31:46,120 --> 00:31:51,640 Speaker 1: order to win, a Democrat has to put the left 559 00:31:51,640 --> 00:31:57,440 Speaker 1: wing in basically time out. They have to lecture the 560 00:31:57,520 --> 00:32:00,720 Speaker 1: left wing and say this party is not this party 561 00:32:00,760 --> 00:32:04,800 Speaker 1: doesn't exist just for trans people. This party doesn't exist 562 00:32:05,360 --> 00:32:09,360 Speaker 1: just for people who believe that America is fundamentally awful 563 00:32:09,680 --> 00:32:12,200 Speaker 1: and that American history is something to be ashamed of. 564 00:32:12,720 --> 00:32:15,360 Speaker 1: I think Joe Scarborough or Gavin Newsom, I mean this 565 00:32:15,440 --> 00:32:18,880 Speaker 1: is they're the same. They're the same lane for the Democrats, right, 566 00:32:20,160 --> 00:32:20,880 Speaker 1: A guy. 567 00:32:21,160 --> 00:32:25,280 Speaker 2: With who's smooth on the air, he's got good hair, 568 00:32:25,680 --> 00:32:27,440 Speaker 2: and it's gonna say whatever he has to say to 569 00:32:27,440 --> 00:32:29,760 Speaker 2: make everybody play ball long enough that he can actually 570 00:32:29,800 --> 00:32:32,560 Speaker 2: get powered. I think that the case from the Newsom 571 00:32:33,080 --> 00:32:36,080 Speaker 2: Scarborough side of things is, I don't care what you 572 00:32:36,240 --> 00:32:39,560 Speaker 2: blue haired you know, communist freaks. Yes, actually, and again 573 00:32:39,600 --> 00:32:41,760 Speaker 2: we mean purple hair, not old people like people that 574 00:32:41,800 --> 00:32:45,000 Speaker 2: die their hair. I don't care what you communist freaks want. 575 00:32:45,440 --> 00:32:48,520 Speaker 2: If you don't let me run this show a little bit. 576 00:32:49,200 --> 00:32:51,960 Speaker 2: Trump and Maga are just gonna keep stealing your lunch 577 00:32:52,160 --> 00:32:53,120 Speaker 2: for the next decade. 578 00:32:53,640 --> 00:32:56,960 Speaker 1: Yeah, I think that's right. I also think some of 579 00:32:57,000 --> 00:32:59,640 Speaker 1: the Democrats are too much of cowards to try to 580 00:32:59,680 --> 00:33:02,520 Speaker 1: put what is it a great phrase from Dirty Dancing? 581 00:33:02,520 --> 00:33:04,760 Speaker 1: Nobody puts baby in the corner. You got to put 582 00:33:04,800 --> 00:33:07,040 Speaker 1: crazy in the corner, and you got to say, like 583 00:33:07,080 --> 00:33:09,360 Speaker 1: I'm shutting the door on you loans, you can show 584 00:33:09,440 --> 00:33:11,400 Speaker 1: up and vote whatever. You're not going to drive the 585 00:33:11,400 --> 00:33:14,320 Speaker 1: party anymore. I think a lot of professional politicians are 586 00:33:14,360 --> 00:33:17,520 Speaker 1: afraid of that, because they're afraid of that party element 587 00:33:17,600 --> 00:33:21,520 Speaker 1: coming back. The progressive wing in power, whereas Joe Scarborough, 588 00:33:21,520 --> 00:33:24,600 Speaker 1: what the heck does he care. He's got a television contract, 589 00:33:25,080 --> 00:33:27,720 Speaker 1: he's got money. I don't know that Gavin Newsom is 590 00:33:27,760 --> 00:33:30,480 Speaker 1: willing to truly burn the ships, because if it doesn't 591 00:33:30,480 --> 00:33:32,640 Speaker 1: work in twenty eight, he might need those people in 592 00:33:32,720 --> 00:33:33,200 Speaker 1: thirty two. 593 00:33:33,960 --> 00:33:35,640 Speaker 2: I just one last thing. I know, we got to 594 00:33:35,640 --> 00:33:38,080 Speaker 2: get to it. But just Clay, you know this, you 595 00:33:38,120 --> 00:33:40,480 Speaker 2: know this beast, you know this animal very well, the 596 00:33:40,560 --> 00:33:44,680 Speaker 2: media personality who we've all seen this playing out over decades. 597 00:33:45,360 --> 00:33:47,520 Speaker 2: When you're at that stage at Scarboro's at the guy's 598 00:33:47,520 --> 00:33:49,840 Speaker 2: worth millions and millions of tens of millions of dollars 599 00:33:49,840 --> 00:33:52,080 Speaker 2: probably at this point he's a very wealthy guy. Okay, 600 00:33:52,080 --> 00:33:54,720 Speaker 2: he's been doing TV a long time. His relevance is 601 00:33:54,800 --> 00:33:59,200 Speaker 2: dropping immensely by being at MSNBC. How do you become 602 00:33:59,240 --> 00:34:01,240 Speaker 2: relevant again? He doesn't really matter to you at that 603 00:34:01,240 --> 00:34:03,640 Speaker 2: point very much. Has it become relevant again? 604 00:34:04,120 --> 00:34:04,600 Speaker 1: You run? 605 00:34:05,520 --> 00:34:09,359 Speaker 2: And also you've been embarrassed because you were the guy 606 00:34:09,360 --> 00:34:11,600 Speaker 2: who said Biden was at his best. You need to 607 00:34:11,719 --> 00:34:14,200 Speaker 2: change the story, and you have to do something radical 608 00:34:14,239 --> 00:34:18,760 Speaker 2: sometimes because because all you care, it's all ego driven. 609 00:34:19,040 --> 00:34:20,839 Speaker 2: And to change the story, I mean, look at Look, 610 00:34:21,040 --> 00:34:23,279 Speaker 2: look at Trump. Obama made fun of Trump at a 611 00:34:23,320 --> 00:34:25,320 Speaker 2: dinner and the world changed. 612 00:34:25,560 --> 00:34:28,839 Speaker 1: Yeah, so you know, I think that's right. I don't. 613 00:34:29,200 --> 00:34:31,359 Speaker 1: I think the Scarborough idea is actually a good one. 614 00:34:31,400 --> 00:34:33,719 Speaker 1: I think there will be other people, Dwayne the Rock, Johnson, 615 00:34:34,920 --> 00:34:37,680 Speaker 1: Mark Cuban. I'm not signing on to any of these guys, 616 00:34:37,680 --> 00:34:39,520 Speaker 1: but I think a lot of people will believe that 617 00:34:39,600 --> 00:34:42,200 Speaker 1: they can be the Democrat version of Trump. Ali Dwyer 618 00:34:42,520 --> 00:34:45,719 Speaker 1: and her three sons lost their hero, Stevens. Serving our 619 00:34:45,760 --> 00:34:49,280 Speaker 1: country in the United States Army was Steven's calling. Flying 620 00:34:49,320 --> 00:34:53,400 Speaker 1: helicopters was his passion. Sadly, Stephen died in a black 621 00:34:53,400 --> 00:34:57,240 Speaker 1: Hawk helicopter crash over the Mediterranean Sea. He was awarded 622 00:34:57,280 --> 00:35:01,400 Speaker 1: several medals, including the Bronze Star. Ally says Stephen will 623 00:35:01,440 --> 00:35:03,800 Speaker 1: always be the love of her life and her boys 624 00:35:03,960 --> 00:35:07,560 Speaker 1: real life superhero that they're proud to call their daddy. 625 00:35:07,880 --> 00:35:10,640 Speaker 1: Thanks to friends like you, Tunnel the Towers helped this 626 00:35:10,719 --> 00:35:13,920 Speaker 1: family with a mortgage free home, giving them security and 627 00:35:14,000 --> 00:35:17,680 Speaker 1: hope in their darkest hours. Tunnel the Towers provides mortgage 628 00:35:17,680 --> 00:35:21,120 Speaker 1: free homes for families of our country's fallen heroes and 629 00:35:21,239 --> 00:35:25,640 Speaker 1: build specially adapted smart homes for severely injured heroes. The 630 00:35:25,719 --> 00:35:30,640 Speaker 1: Foundation is also committed to eradicating homelessness among our veterans 631 00:35:30,680 --> 00:35:33,640 Speaker 1: and helping our nation keep its valve to never forget 632 00:35:33,719 --> 00:35:37,600 Speaker 1: nine to eleven help more families like the Dwires join 633 00:35:37,719 --> 00:35:40,360 Speaker 1: us in donating eleven dollars a month to tunnel the 634 00:35:40,440 --> 00:35:43,440 Speaker 1: Towers at T two t dot org. That's t the 635 00:35:43,520 --> 00:35:47,239 Speaker 1: number two t dot org. Want to begin to know 636 00:35:47,560 --> 00:35:48,719 Speaker 1: when you're on the go. 637 00:35:49,160 --> 00:35:53,120 Speaker 5: The Team forty seven podcasts Trump highlights from the week 638 00:35:53,440 --> 00:35:56,520 Speaker 5: Sundays at noon Eastern in the clan Bug podcast. Speed 639 00:35:56,640 --> 00:35:59,719 Speaker 5: find it on the iHeartRadio app or wherever you get 640 00:35:59,719 --> 00:36:00,520 Speaker 5: your guess. 641 00:36:02,000 --> 00:36:05,520 Speaker 2: Are we closing up for the hour the hour? Fuck 642 00:36:05,560 --> 00:36:08,520 Speaker 2: me back in a second with everybody here. We actually 643 00:36:08,600 --> 00:36:13,080 Speaker 2: talked to Heather McDonald about the DC crime situation. Heather 644 00:36:13,200 --> 00:36:17,279 Speaker 2: McDonald is always fantastic on the realities, the truth of 645 00:36:17,680 --> 00:36:19,920 Speaker 2: crime and how to stop it. What's really going on? 646 00:36:20,480 --> 00:36:25,760 Speaker 2: Quick vip email Clay from from John Chuck Wepner, whose 647 00:36:26,000 --> 00:36:29,480 Speaker 2: nickname was the Bayone Bleeder was the guy that almost 648 00:36:29,560 --> 00:36:32,880 Speaker 2: beat Ali from Nowhere and the movie Rocky was about 649 00:36:33,800 --> 00:36:37,319 Speaker 2: very Is that true? I know nothing so this could be. 650 00:36:37,280 --> 00:36:44,719 Speaker 1: Also about I think by by uh Scarborough because that 651 00:36:44,760 --> 00:36:45,800 Speaker 1: guy's a pretty good boxer. 652 00:36:45,880 --> 00:36:50,000 Speaker 2: Two yeah, that's also it is a bad analogy, Is 653 00:36:50,040 --> 00:36:52,279 Speaker 2: that true? Guys, we need to fact checket get the 654 00:36:52,400 --> 00:36:53,879 Speaker 2: grock out fact check this one. 655 00:36:53,920 --> 00:36:54,600 Speaker 1: We'll be right back