1 00:00:00,600 --> 00:00:01,320 Speaker 1: Welcome back in. 2 00:00:02,400 --> 00:00:06,520 Speaker 2: It is a joyful Wednesday across all of the Clay 3 00:00:06,559 --> 00:00:11,559 Speaker 2: and Buck listening area. And I just want to say again, Buck, 4 00:00:11,600 --> 00:00:16,400 Speaker 2: you hammered it. Enjoy it, Celebrate it. If you got 5 00:00:16,440 --> 00:00:20,000 Speaker 2: friends and family, go out for a nice dinner, maybe 6 00:00:20,000 --> 00:00:21,760 Speaker 2: you want to bet like I did. And you got 7 00:00:21,760 --> 00:00:23,919 Speaker 2: a buddy like Buck who will even pay for the steak. 8 00:00:24,000 --> 00:00:25,639 Speaker 2: It makes it even better when you don't have to 9 00:00:25,640 --> 00:00:30,600 Speaker 2: pay for it. Buck island underwater but not forgotten. And 10 00:00:30,720 --> 00:00:34,240 Speaker 2: what a ride this has been. We were talking about 11 00:00:34,280 --> 00:00:38,879 Speaker 2: this off the air. What an incredible election season this 12 00:00:38,960 --> 00:00:43,040 Speaker 2: has been. Just think about what we've seen since July Trump. 13 00:00:44,200 --> 00:00:46,280 Speaker 2: June twenty seventh. First of all, is when the election 14 00:00:46,400 --> 00:00:50,240 Speaker 2: really began, with the Trump dominating Joe Biden in the debate. 15 00:00:51,000 --> 00:00:53,080 Speaker 2: Then Trump comes within a quarter of inch of getting 16 00:00:53,120 --> 00:00:55,880 Speaker 2: his head blown off in Butler, Pennsylvania. Only by the 17 00:00:55,880 --> 00:00:59,440 Speaker 2: grace of God is he still alive. And then about 18 00:00:59,440 --> 00:01:01,440 Speaker 2: a week later we go to rn C. A couple 19 00:01:01,480 --> 00:01:03,000 Speaker 2: of days later we go to the rn C, and 20 00:01:03,040 --> 00:01:05,800 Speaker 2: then a week later Joe Biden drops out, Kamala Harris 21 00:01:05,840 --> 00:01:09,880 Speaker 2: gets elevated, and all of this is going on, and 22 00:01:10,400 --> 00:01:12,560 Speaker 2: we've got now a guy who has been on with 23 00:01:12,640 --> 00:01:16,640 Speaker 2: us a lot, friend of the show, fantastic data guru, 24 00:01:17,200 --> 00:01:20,160 Speaker 2: Ryan Gurdusky with us right now. Ryan, I think you're 25 00:01:20,280 --> 00:01:22,720 Speaker 2: like me. You only slept a couple of hours last night. 26 00:01:23,040 --> 00:01:25,559 Speaker 2: Do you still know like you're walking on air? How 27 00:01:25,720 --> 00:01:27,120 Speaker 2: amazing was last night? 28 00:01:28,240 --> 00:01:30,880 Speaker 3: Yeah? And you know what, it was surprising how quick 29 00:01:30,920 --> 00:01:32,040 Speaker 3: I realized it was over. 30 00:01:32,720 --> 00:01:33,039 Speaker 1: Yeah. 31 00:01:33,120 --> 00:01:35,400 Speaker 3: I was texting. I was texting the top person the 32 00:01:35,440 --> 00:01:38,840 Speaker 3: Trump campaign. And the first rural county to come in 33 00:01:38,840 --> 00:01:41,920 Speaker 3: I think was Tyler, Kentucky, and Trump had gained six 34 00:01:41,959 --> 00:01:43,800 Speaker 3: points in a state in the county that he was 35 00:01:43,959 --> 00:01:45,959 Speaker 3: had very little room to grow in because he was 36 00:01:45,959 --> 00:01:48,080 Speaker 3: already winning it in the previous election by close to 37 00:01:48,080 --> 00:01:51,600 Speaker 3: eighty points. And then they were concerned about I think 38 00:01:51,640 --> 00:01:55,160 Speaker 3: it was Hamilton County, which is the north suburb of Indianapolis, 39 00:01:55,240 --> 00:01:57,400 Speaker 3: because originally they said that they were losing it, but 40 00:01:57,520 --> 00:01:59,120 Speaker 3: in terms, it was just the early vote, and I 41 00:01:59,200 --> 00:02:02,480 Speaker 3: knew he was going to win the suburbs of Midwestern cities. 42 00:02:02,520 --> 00:02:05,920 Speaker 3: That completely demolishing and sells his entire prediction right there. 43 00:02:06,360 --> 00:02:10,640 Speaker 3: And then Florida came in and he won the Puerto 44 00:02:10,720 --> 00:02:16,360 Speaker 3: Rican majority count your plurality county near Orlando, and just 45 00:02:16,680 --> 00:02:19,600 Speaker 3: like liberal fallacy for the liberal fallacy fell apart, Buck 46 00:02:19,720 --> 00:02:21,799 Speaker 3: was correctly so that he went by double digits. I 47 00:02:21,800 --> 00:02:23,839 Speaker 3: took by the high singles. I couldn't believe he wanted 48 00:02:23,880 --> 00:02:26,600 Speaker 3: by that much. And then when I got a phone 49 00:02:26,600 --> 00:02:31,119 Speaker 3: call at six thirty from a top Georgia consultant friend 50 00:02:31,160 --> 00:02:33,320 Speaker 3: of mine who said they're gonna call it by nine, 51 00:02:33,400 --> 00:02:36,080 Speaker 3: they didn't. They goes Trump absolutely one is over and 52 00:02:36,120 --> 00:02:38,320 Speaker 3: I was like, well, what do you mean by absolutely one? 53 00:02:38,400 --> 00:02:40,520 Speaker 3: Is it by point one point two? He's like, no, 54 00:02:40,600 --> 00:02:42,880 Speaker 3: it's well over two points. He won. There's no more. 55 00:02:42,880 --> 00:02:46,120 Speaker 3: They're not coming out in Atlanta. It's over. And then 56 00:02:46,160 --> 00:02:47,880 Speaker 3: the exit polls came out he said won twenty five 57 00:02:47,880 --> 00:02:50,280 Speaker 3: percent of the black mail boat in Georgia. But the 58 00:02:50,400 --> 00:02:53,280 Speaker 3: last thing that fell for me was when Virginia came 59 00:02:53,280 --> 00:02:55,440 Speaker 3: out and Loudon County was came in and there was 60 00:02:55,480 --> 00:02:59,840 Speaker 3: an eight point swing in Trump's direction and overwhelmingly wealthy, 61 00:03:00,360 --> 00:03:02,799 Speaker 3: college educated county. And I said, well, that's it. That's it. 62 00:03:03,120 --> 00:03:06,320 Speaker 3: Literally every single coalition that they were supposed to have 63 00:03:06,680 --> 00:03:10,120 Speaker 3: the black vote, the Hispanic vote decent chances with rurals. 64 00:03:10,160 --> 00:03:13,519 Speaker 3: According to an Seltzer decent chances with Midwesterners. According to 65 00:03:13,560 --> 00:03:17,000 Speaker 3: an Seltzer and college educated voter surge, it's all gone. 66 00:03:17,200 --> 00:03:19,720 Speaker 3: Every fallacy they have is gone, and it's gone in 67 00:03:20,120 --> 00:03:23,400 Speaker 3: Pinnacle Counties, and she's going to lose. I texted my family, 68 00:03:23,440 --> 00:03:24,920 Speaker 3: I think at eight third minutes that you guys can 69 00:03:24,960 --> 00:03:26,359 Speaker 3: all go to bed. He won, it's over. 70 00:03:26,880 --> 00:03:28,280 Speaker 1: You texted your buddies at what time? 71 00:03:29,360 --> 00:03:29,840 Speaker 3: Like air? 72 00:03:30,720 --> 00:03:32,520 Speaker 1: Oh? He texted yeah. 73 00:03:32,600 --> 00:03:32,760 Speaker 3: Yeah. 74 00:03:32,800 --> 00:03:35,640 Speaker 4: He texted me around nine o'clock Clay, Hey, Ryan, great 75 00:03:35,680 --> 00:03:37,600 Speaker 4: to have you is always he's like, jad Vance is 76 00:03:37,600 --> 00:03:39,320 Speaker 4: going to be the next vice president because I was 77 00:03:39,360 --> 00:03:42,839 Speaker 4: asking him questions about specifics on the voting. So yeah, 78 00:03:42,880 --> 00:03:44,840 Speaker 4: he knew very early on that this was in the 79 00:03:44,880 --> 00:03:46,000 Speaker 4: bag for the good guys. 80 00:03:46,880 --> 00:03:47,240 Speaker 3: Ryan. 81 00:03:47,880 --> 00:03:50,960 Speaker 4: Kamala didn't outperform Biden did this stand. I remember this 82 00:03:51,080 --> 00:03:53,400 Speaker 4: stat from last night. It was actually funny because Jake 83 00:03:53,440 --> 00:03:59,280 Speaker 4: Tapper was like wow, like he couldn't process it. Kamala 84 00:03:59,560 --> 00:04:02,840 Speaker 4: didn't I outperform in the thousands of counties in the 85 00:04:02,920 --> 00:04:05,000 Speaker 4: United States, she did not perform. 86 00:04:04,680 --> 00:04:09,080 Speaker 3: By some counties did move left. It wasn't many. There 87 00:04:09,080 --> 00:04:11,400 Speaker 3: were a few counties like in Oklahoma for some reason 88 00:04:11,400 --> 00:04:13,680 Speaker 3: that moved left. There were also a few counties in 89 00:04:13,680 --> 00:04:16,440 Speaker 3: Georgia that moved left. You have to remember when you 90 00:04:16,520 --> 00:04:19,720 Speaker 3: hit a certain threshold in some counties and some counties 91 00:04:19,720 --> 00:04:22,040 Speaker 3: Trump was getting eighty four eighty five percent in the 92 00:04:22,120 --> 00:04:25,720 Speaker 3: last election. If he gets eighty two percent considered a 93 00:04:25,720 --> 00:04:29,640 Speaker 3: big swing. So yes, she made some ground up in 94 00:04:29,760 --> 00:04:33,880 Speaker 3: some places, usually either in very red or very blue counties, 95 00:04:33,880 --> 00:04:37,479 Speaker 3: but not particularly by much. In no major suburban area 96 00:04:37,520 --> 00:04:40,280 Speaker 3: did she make any ground up. It was all basically 97 00:04:40,360 --> 00:04:43,840 Speaker 3: on the margins and some very very small counties, but 98 00:04:43,920 --> 00:04:46,760 Speaker 3: not many and not worth even discussing on. 99 00:04:47,160 --> 00:04:51,960 Speaker 4: Tell everybody Ryan nationally, the Black vote, the Jewish vote, 100 00:04:52,000 --> 00:04:55,520 Speaker 4: and the Hispanic vote, what do we know? And are 101 00:04:55,560 --> 00:04:57,159 Speaker 4: those numbers pretty close to final? 102 00:04:58,120 --> 00:05:00,559 Speaker 3: So here's what is going So what happened is there's 103 00:05:00,720 --> 00:05:03,440 Speaker 3: been two sets of exit polls. Right, there's the Edison 104 00:05:03,920 --> 00:05:06,800 Speaker 3: exit Pole numbers and then there is the Fox News 105 00:05:06,800 --> 00:05:11,160 Speaker 3: analysis exitple numbers. They are very different. Fox are doing 106 00:05:11,160 --> 00:05:13,799 Speaker 3: their own analysis after twenty sixteen because the twenty sixteen 107 00:05:13,839 --> 00:05:17,039 Speaker 3: number Exipoles were so bad. I don't really like to 108 00:05:17,080 --> 00:05:20,080 Speaker 3: look at either one of those things. Not that they're 109 00:05:20,120 --> 00:05:23,280 Speaker 3: bad companies, it's just it's very difficult because they're sampling people. 110 00:05:23,320 --> 00:05:26,360 Speaker 3: They're overwhelming stampling them in cities and suburbs. They don't 111 00:05:26,360 --> 00:05:28,680 Speaker 3: get a lot of rural communities in these sample sizes. 112 00:05:29,360 --> 00:05:32,360 Speaker 3: The factor in In a few months, peer research will 113 00:05:32,400 --> 00:05:35,960 Speaker 3: be will be doing their autopsy on the election, and 114 00:05:36,000 --> 00:05:39,960 Speaker 3: that is really the gold standard for how people voted. 115 00:05:40,440 --> 00:05:42,719 Speaker 3: We just won't know yet because they will take several 116 00:05:42,800 --> 00:05:45,560 Speaker 3: months to do an entire autopsy on knowing every kind 117 00:05:45,560 --> 00:05:49,320 Speaker 3: of demographic could imagine. I would wait for that to happen. 118 00:05:49,520 --> 00:05:51,359 Speaker 3: But we do have clues. We have clues in the 119 00:05:51,360 --> 00:05:56,400 Speaker 3: fact that the Jewish vote in New York AOC's district, 120 00:05:56,400 --> 00:05:59,000 Speaker 3: which is not very Jewish, is mostly Hispanic, Asian and white, 121 00:05:59,200 --> 00:06:04,880 Speaker 3: but's district moved twenty four points, twenty five points towards Trump. Wow, 122 00:06:05,760 --> 00:06:07,640 Speaker 3: I think it's probably the biggest change in. 123 00:06:07,839 --> 00:06:09,919 Speaker 4: I mean, that's that's Queen's right, I mean, isn't that 124 00:06:10,000 --> 00:06:12,719 Speaker 4: isn't it based a Queens district in New York Queens 125 00:06:12,760 --> 00:06:16,240 Speaker 4: and Bronx Bronx. That's among the most You'd have to 126 00:06:16,279 --> 00:06:19,320 Speaker 4: struggle to find a more diverse congressional district. 127 00:06:20,040 --> 00:06:23,000 Speaker 3: Yeah, yeah, twenty five point swing. It used to be 128 00:06:23,040 --> 00:06:25,760 Speaker 3: an eighty like eighty five to fifteen district. It was 129 00:06:25,800 --> 00:06:29,200 Speaker 3: now I think sixty five thirty five, which is a 130 00:06:29,320 --> 00:06:33,720 Speaker 3: still a blowout Democratic district, but those margins are vastly different. 131 00:06:34,040 --> 00:06:38,800 Speaker 3: Grace Meng she's a congressman from Queens. Trump almost won 132 00:06:38,880 --> 00:06:41,480 Speaker 3: her district. He almost won a second Congression district in 133 00:06:41,520 --> 00:06:46,560 Speaker 3: New York City, which would is completely unheard of. He 134 00:06:46,600 --> 00:06:50,719 Speaker 3: won Suffolk County, which was his biggest county outside Mayrakopa 135 00:06:50,800 --> 00:06:54,159 Speaker 3: back in twenty sixteen. He wanted by double digits. These 136 00:06:54,160 --> 00:06:56,800 Speaker 3: are huge, huge numbers. Miami he won by eleven, So 137 00:06:56,839 --> 00:07:00,880 Speaker 3: we have some context from there. A Star County, Texas, 138 00:07:00,880 --> 00:07:04,000 Speaker 3: which is the most Hispanic county in America. It is 139 00:07:04,080 --> 00:07:07,160 Speaker 3: ninety seven percent Hispanic as right on the border. Trump 140 00:07:07,200 --> 00:07:09,920 Speaker 3: flipped it. He wanted by I think sixteen points, says 141 00:07:09,920 --> 00:07:11,800 Speaker 3: the last time I checked, it is the first time 142 00:07:11,800 --> 00:07:14,000 Speaker 3: in one hundred and thirty two years where Republican has 143 00:07:14,000 --> 00:07:17,360 Speaker 3: won this county. And it wasn't even winning by a slipper. 144 00:07:17,400 --> 00:07:22,720 Speaker 3: He wanted by a blowout. So the a realignment is continuing. 145 00:07:23,160 --> 00:07:24,560 Speaker 3: What I would like to sit there and look for 146 00:07:24,640 --> 00:07:25,800 Speaker 3: is what I talked on your show. What I read 147 00:07:25,840 --> 00:07:29,520 Speaker 3: about a lot is. I think that he overperformed estimates 148 00:07:29,520 --> 00:07:31,560 Speaker 3: with the senior numbers. I said this over and over again. 149 00:07:31,600 --> 00:07:33,440 Speaker 3: I thought that seniors were not moving as let as 150 00:07:33,440 --> 00:07:37,640 Speaker 3: people said they were. Polsters estimated that he would lose 151 00:07:37,720 --> 00:07:41,240 Speaker 3: seniors in Pennsylvania by four to five points, and that 152 00:07:41,280 --> 00:07:44,600 Speaker 3: would carry him to winning Pennsylvania. I said, not to 153 00:07:44,600 --> 00:07:46,600 Speaker 3: believe these exit polls, but this is all we have 154 00:07:46,720 --> 00:07:49,600 Speaker 3: right now. So far in Pennsylvania, he probably won seniors 155 00:07:49,600 --> 00:07:51,840 Speaker 3: by five to six points, So it was a ten 156 00:07:51,880 --> 00:07:55,160 Speaker 3: point difference with a demographic that's thirty percent of the vote. 157 00:07:55,360 --> 00:07:58,960 Speaker 3: That's three points right there. That's your margin between winning 158 00:07:58,960 --> 00:08:01,960 Speaker 3: and losing in Pennsylvania. He also did fabulously well with 159 00:08:02,000 --> 00:08:04,160 Speaker 3: the black vote, extremely well with Hispanic vote, but a 160 00:08:04,200 --> 00:08:08,240 Speaker 3: lot of that information was there. Typically, what happens with 161 00:08:08,400 --> 00:08:12,480 Speaker 3: polsters with Republicans is that they overestimate the support of 162 00:08:12,520 --> 00:08:14,600 Speaker 3: the black vote, the support of the Hispanic vote, and 163 00:08:14,640 --> 00:08:17,840 Speaker 3: then on election day it's a little disappointing. In this case, 164 00:08:17,960 --> 00:08:21,640 Speaker 3: they underestimated it. Right now, they're saying the black vote 165 00:08:21,680 --> 00:08:24,320 Speaker 3: was about sixteen percent Republican. I checked it a little 166 00:08:24,320 --> 00:08:26,800 Speaker 3: while ago, and thisman vote was about forty three. Forty 167 00:08:26,800 --> 00:08:32,080 Speaker 3: four percent hispantic for sorry Republican. That's a tremendous, tremendous 168 00:08:32,080 --> 00:08:36,560 Speaker 3: difference right now, and obviously in certain areas it's much more. 169 00:08:36,800 --> 00:08:39,040 Speaker 3: I wouldn't be surprised if, like you know, in Texas 170 00:08:39,480 --> 00:08:42,000 Speaker 3: and in Florida, Trump probably won the hismatic vote. 171 00:08:42,440 --> 00:08:44,200 Speaker 2: A couple of data points I want to hit you with. 172 00:08:44,240 --> 00:08:46,400 Speaker 2: I'm curious which one stand out the most to you. 173 00:08:46,920 --> 00:08:52,920 Speaker 2: Trump wins Florida by thirteen, Texas by fourteen, and Seltzer, 174 00:08:53,240 --> 00:08:56,240 Speaker 2: who said, oh, Iowa is going to go to Kamala 175 00:08:56,320 --> 00:09:01,640 Speaker 2: by three, actually ends up Iowa thirteen to Trump and 176 00:09:02,120 --> 00:09:06,360 Speaker 2: New Jersey fifty one forty seven when we started the show. 177 00:09:06,400 --> 00:09:09,120 Speaker 2: I don't know if it's moved very much, since those 178 00:09:09,240 --> 00:09:12,360 Speaker 2: numbers are all pretty staggering in many different ways. What 179 00:09:12,520 --> 00:09:15,400 Speaker 2: stands out to you about those raw numbers? They are 180 00:09:15,440 --> 00:09:17,959 Speaker 2: on a state basis, Okay, So. 181 00:09:18,040 --> 00:09:21,000 Speaker 3: Iowa first of all, Seltzer said that the reason Iowa's 182 00:09:21,040 --> 00:09:24,320 Speaker 3: competitive was because only one in four women over the 183 00:09:24,320 --> 00:09:27,439 Speaker 3: age of sixty five, which, by the way, all seniors 184 00:09:27,480 --> 00:09:31,200 Speaker 3: in Iowa are white, So only one in four white seniors. 185 00:09:31,520 --> 00:09:34,280 Speaker 3: Women seniors were voting for Trump. Three and four voting 186 00:09:34,320 --> 00:09:37,560 Speaker 3: for Kamala, and only half of white citizen and men 187 00:09:37,920 --> 00:09:40,040 Speaker 3: that was seniors and women, well three and four were 188 00:09:40,040 --> 00:09:43,200 Speaker 3: supporting Kamala. She said, half of senior citizen men who 189 00:09:43,280 --> 00:09:46,559 Speaker 3: are white were supporting Kamala. I don't know about you, 190 00:09:46,800 --> 00:09:49,480 Speaker 3: but I know a lot of white older seniors and 191 00:09:50,240 --> 00:09:53,640 Speaker 3: random sample size that was not true, and they were 192 00:09:53,679 --> 00:09:55,920 Speaker 3: not moving, and that would would require them to move 193 00:09:56,040 --> 00:10:00,760 Speaker 3: thirty points. Basically, every Fox News reviewer became Rachel MADLVI 194 00:10:00,880 --> 00:10:01,880 Speaker 3: were in a matter of a month of. 195 00:10:02,240 --> 00:10:04,440 Speaker 2: And by the way, Ryan also in a state that 196 00:10:04,600 --> 00:10:08,040 Speaker 2: disliked Kamala Harris so much that she dropped out before 197 00:10:08,120 --> 00:10:08,839 Speaker 2: they could vote. 198 00:10:08,880 --> 00:10:10,839 Speaker 1: In the twenty twenty Democrat project. 199 00:10:10,640 --> 00:10:15,160 Speaker 3: It is utterly ridiculous, ridiculous. Then you go to the 200 00:10:15,200 --> 00:10:18,000 Speaker 3: New Jersey numbers and what's interesting is not only is 201 00:10:18,040 --> 00:10:22,160 Speaker 3: there extreme growth in the ethnic white communities, and by 202 00:10:22,160 --> 00:10:24,520 Speaker 3: the way, he flipped Morris County, New Jersey, which is 203 00:10:24,520 --> 00:10:28,840 Speaker 3: a very very Jewish part of New Jersey, but then 204 00:10:28,880 --> 00:10:31,840 Speaker 3: he makes in rows around Union and Newark. These are 205 00:10:31,920 --> 00:10:34,920 Speaker 3: more democratic areas. There was a congressional district. New Jersey 206 00:10:34,960 --> 00:10:38,280 Speaker 3: is gerrymandered beyond belief, where Republicans really can't win another 207 00:10:38,320 --> 00:10:41,160 Speaker 3: House seat if they tried, but there was one House seat. 208 00:10:41,320 --> 00:10:45,160 Speaker 3: This was a Biden plus twenty sixth seat in twenty 209 00:10:45,280 --> 00:10:48,160 Speaker 3: twenty and the Republican was trailing I think by three 210 00:10:48,240 --> 00:10:51,640 Speaker 3: or four points in it. That's a tremendous explosion around 211 00:10:51,640 --> 00:10:54,640 Speaker 3: Passaic County all the way. And he is very Hispanic, 212 00:10:54,960 --> 00:10:58,640 Speaker 3: a lot of Asians, very very very ethnically diverse, and 213 00:10:58,840 --> 00:11:03,240 Speaker 3: absolutely repul by you know, the Democratic plan. I'm going 214 00:11:03,320 --> 00:11:06,000 Speaker 3: to give you a totally different thing. Besides Texas and Florida, 215 00:11:06,000 --> 00:11:08,400 Speaker 3: which were also which I referenced with plan, you know 216 00:11:08,440 --> 00:11:13,160 Speaker 3: what state had a huge explosion for Republicans. Vermont, Vermont 217 00:11:13,280 --> 00:11:16,160 Speaker 3: Blue Bernie Satins Vermont, the Republican governor, who is a 218 00:11:16,200 --> 00:11:19,960 Speaker 3: liberal one, the Republican lieutenant governor flipped the seat from 219 00:11:20,040 --> 00:11:23,560 Speaker 3: Democrat Republican because they're voted, they're registered independently of each other, 220 00:11:23,679 --> 00:11:26,800 Speaker 3: the governor and lieutenant governor, so they won the lieutenant governorship. 221 00:11:27,000 --> 00:11:29,960 Speaker 3: They won five state Senate seats, they won eighteen state 222 00:11:29,960 --> 00:11:34,120 Speaker 3: House seats. It's the most Vermont legislator has been Republican 223 00:11:34,400 --> 00:11:38,240 Speaker 3: since two thousand and two. It is the and this 224 00:11:38,400 --> 00:11:42,080 Speaker 3: is Bernie Sanders home base I'll do another thing. Tim 225 00:11:42,160 --> 00:11:46,280 Speaker 3: Waltz's home district flipped Republican. Tim Waltz lost. I think 226 00:11:46,320 --> 00:11:49,000 Speaker 3: he lost the state House in Minnesota. Democrats lost the 227 00:11:49,000 --> 00:11:52,079 Speaker 3: state House in Michigan. In Pennsylvania, they lost a super 228 00:11:52,080 --> 00:11:54,640 Speaker 3: majority in Nevada, they lost a super majority in the 229 00:11:54,640 --> 00:11:57,400 Speaker 3: state Legislator in New York, in the New York State Senate, 230 00:11:58,200 --> 00:12:00,720 Speaker 3: and they lost the state House in Pennsylvania. Just mentioned that, 231 00:12:00,760 --> 00:12:06,000 Speaker 3: but in Michigan they lost. It was a aliteration across 232 00:12:06,040 --> 00:12:09,000 Speaker 3: the board. It was a lot of It was extremely 233 00:12:09,280 --> 00:12:12,960 Speaker 3: bad branding of the Democratic Party to sit there and 234 00:12:13,040 --> 00:12:17,200 Speaker 3: only say fascism J six abortion, fascism JA six abortion. 235 00:12:17,360 --> 00:12:20,560 Speaker 3: Because unless you live in an extra very few states, 236 00:12:20,600 --> 00:12:23,520 Speaker 3: honestly very few states, relative abortion is not a major 237 00:12:23,520 --> 00:12:26,240 Speaker 3: issue because it is the law of the land. So 238 00:12:26,320 --> 00:12:28,400 Speaker 3: it completely takes you out of that. And you're also 239 00:12:28,960 --> 00:12:32,880 Speaker 3: they're dealing with huge surges of migrants, huge amount of 240 00:12:33,720 --> 00:12:39,160 Speaker 3: migrant welfare, fraud, crime, housing costs, living standards. It makes 241 00:12:39,280 --> 00:12:43,840 Speaker 3: the focus so much heavier on Commala's weak points that 242 00:12:43,920 --> 00:12:45,320 Speaker 3: it's even worse. 243 00:12:47,160 --> 00:12:50,079 Speaker 4: Ryan Gradowsky, everybody, Ryan, I just got we got to 244 00:12:50,120 --> 00:12:51,480 Speaker 4: tip our hat to you, buddy. I mean there's a 245 00:12:51,480 --> 00:12:53,000 Speaker 4: reason we have you on the show as often as 246 00:12:53,040 --> 00:12:56,760 Speaker 4: you do as we do. It's because you know the data. 247 00:12:57,000 --> 00:13:00,280 Speaker 4: Your analysis is spot on and and I you're a 248 00:13:00,360 --> 00:13:02,520 Speaker 4: humble guy, but I'll say it, and Clay will say it. 249 00:13:03,000 --> 00:13:06,040 Speaker 4: You nailed this election your predictions just to where it 250 00:13:06,120 --> 00:13:09,480 Speaker 4: was going and to what the polls, what polls were legit, 251 00:13:09,600 --> 00:13:13,520 Speaker 4: what polls weren't. And you know, my wife last night, Clay, Carrie, 252 00:13:13,720 --> 00:13:16,320 Speaker 4: She's like, I kept telling her, I've been saying Trump's 253 00:13:16,320 --> 00:13:18,080 Speaker 4: gonna win for months and she knows that. Every time 254 00:13:18,120 --> 00:13:19,599 Speaker 4: she asked me, she asked me every day, are you 255 00:13:19,600 --> 00:13:21,040 Speaker 4: sure he's gonna win, honey. I'm like, I'm sure he's 256 00:13:21,040 --> 00:13:23,120 Speaker 4: gonna win, honey, you sure? Last night she goes, I'm 257 00:13:23,160 --> 00:13:26,680 Speaker 4: freaking out. Text Ryan if he says he's gonna win too. 258 00:13:27,720 --> 00:13:30,400 Speaker 4: And I'm like, okay, well I say so, and Ryan 259 00:13:30,520 --> 00:13:33,040 Speaker 4: said so, and it came out to me true. You 260 00:13:33,120 --> 00:13:35,120 Speaker 4: also got I'll tell you right, you got a new subscriber, 261 00:13:35,160 --> 00:13:37,600 Speaker 4: seriously to your substack for my wife last night, Carrie. 262 00:13:37,679 --> 00:13:39,000 Speaker 1: So oh, I appreciate that. 263 00:13:39,040 --> 00:13:41,360 Speaker 3: I'm gonna write. I'm gonna write the five pieces that 264 00:13:41,440 --> 00:13:43,640 Speaker 3: you should know about this election. My substect today for 265 00:13:43,720 --> 00:13:45,800 Speaker 3: tomorrow and that will get a highlight. And in a 266 00:13:45,840 --> 00:13:48,079 Speaker 3: month or two. I know you like a lot of data, Clay, 267 00:13:48,120 --> 00:13:49,640 Speaker 3: but give it a month or two and we're gonna 268 00:13:49,640 --> 00:13:51,000 Speaker 3: have the full lay of the land and we'll know 269 00:13:51,080 --> 00:13:51,360 Speaker 3: a lot. 270 00:13:51,600 --> 00:13:54,199 Speaker 2: I love looking at the day to Ryan. You've killed it. Congrats. 271 00:13:54,200 --> 00:13:54,839 Speaker 2: Get some sleep. 272 00:13:54,880 --> 00:13:57,199 Speaker 1: I'm gonna try to get some sleep tonight. That's the plan. 273 00:13:57,360 --> 00:14:00,360 Speaker 4: And go subscribe to Ryan substack. Go to sub stack. 274 00:14:00,440 --> 00:14:03,200 Speaker 4: Look up National Populace newsletter. Just type in Gurdusky. He's 275 00:14:03,200 --> 00:14:07,360 Speaker 4: probably the only one on substack, Ryan Gurdusky, and yeah, 276 00:14:07,440 --> 00:14:11,040 Speaker 4: and go subscribe Ryan, great work man, and please go. 277 00:14:11,240 --> 00:14:13,600 Speaker 4: You know, I know you're tired to like Clay, go celebrate, 278 00:14:13,640 --> 00:14:14,920 Speaker 4: Go enjoy yourself. You've earned it. 279 00:14:15,760 --> 00:14:16,680 Speaker 3: Thank you, thank you. 280 00:14:17,760 --> 00:14:21,440 Speaker 2: Look h buck this morning good example of what Chalk's 281 00:14:21,800 --> 00:14:25,960 Speaker 2: male vitality stick stack can be worth. Because I was 282 00:14:26,000 --> 00:14:28,200 Speaker 2: out last night till almost three am. I slept a 283 00:14:28,240 --> 00:14:30,200 Speaker 2: couple of hours. Now I've been here for almost three 284 00:14:30,240 --> 00:14:33,040 Speaker 2: hours with all of you, and that can start to 285 00:14:33,080 --> 00:14:35,680 Speaker 2: get a little bit training. I'm gonna be honest with you, 286 00:14:35,760 --> 00:14:39,040 Speaker 2: especially if you mix in a little alcohol and uh, 287 00:14:39,120 --> 00:14:43,680 Speaker 2: and then there's some frivolity. You need energy, and testosterone 288 00:14:43,920 --> 00:14:47,080 Speaker 2: is the energy that drives the mail engine. 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Use my name Clay 299 00:15:22,280 --> 00:15:25,160 Speaker 2: for a best deal on a lifetime subscription. That's chalk 300 00:15:25,200 --> 00:15:29,800 Speaker 2: dot com my name Clay, lifetime discount, free surprise gift. 301 00:15:29,880 --> 00:15:35,040 Speaker 2: You can also call or text five zero chalk three thousand. 302 00:15:35,120 --> 00:15:37,960 Speaker 2: That's five zero chalk three thousand. You say Clay and 303 00:15:38,000 --> 00:15:40,520 Speaker 2: Buck sent me. You can talk to their US based 304 00:15:40,560 --> 00:15:44,160 Speaker 2: customer service team and also get that best possible subscription 305 00:15:44,320 --> 00:15:45,320 Speaker 2: price for life. 306 00:15:45,600 --> 00:15:47,200 Speaker 1: My name Clay. Choq. 307 00:15:47,840 --> 00:15:51,080 Speaker 2: Put some testosterone in your life. Kick Kamla to the curb. 308 00:15:51,760 --> 00:15:53,200 Speaker 2: Chalk dot Com. 309 00:15:53,640 --> 00:15:56,240 Speaker 1: You know them as conservative radio hosts. 310 00:15:56,440 --> 00:15:59,360 Speaker 2: Now just get to know them as guys on this 311 00:15:59,520 --> 00:16:03,000 Speaker 2: Sunday Hang podcast with Clay and Buck. Find it in 312 00:16:03,040 --> 00:16:06,320 Speaker 2: their podcast feed on the iHeartRadio app or wherever you 313 00:16:06,400 --> 00:16:07,520 Speaker 2: get your podcasts. 314 00:16:07,600 --> 00:16:11,720 Speaker 4: Welcome back into Clay and Buck. Kamala Harris has conceded 315 00:16:12,480 --> 00:16:16,000 Speaker 4: called Donald Trump just in the last I think last 316 00:16:16,080 --> 00:16:20,120 Speaker 4: hour or so definitely matter recently called him, and uh, 317 00:16:20,480 --> 00:16:22,680 Speaker 4: we don't have details yet, I think on that, but 318 00:16:22,920 --> 00:16:27,000 Speaker 4: she has admitted that she has been vested in this 319 00:16:27,040 --> 00:16:30,840 Speaker 4: contest and Donald Trump will be the next president of 320 00:16:31,120 --> 00:16:35,120 Speaker 4: the United States. You know, Clay, As it all sinks in, 321 00:16:35,800 --> 00:16:38,720 Speaker 4: it's amazing, but it also has a little bit of 322 00:16:38,720 --> 00:16:40,880 Speaker 4: the surreal because we've been building up to this for 323 00:16:40,920 --> 00:16:46,120 Speaker 4: so long and thinking about it, and and just what 324 00:16:46,200 --> 00:16:48,640 Speaker 4: we had to go through with the Biden administration, particularly 325 00:16:48,680 --> 00:16:51,040 Speaker 4: in the in that first year when Biden took office, 326 00:16:51,480 --> 00:16:55,160 Speaker 4: and all the COVID madness and and the mandatory shots 327 00:16:55,200 --> 00:16:59,280 Speaker 4: and the mandatory masking, and and then the crazy spending 328 00:16:59,320 --> 00:17:03,280 Speaker 4: and the inflation, and the wars that broke out and 329 00:17:03,360 --> 00:17:07,520 Speaker 4: Russia invading Ukraine in a much more substantial way. And 330 00:17:07,560 --> 00:17:09,879 Speaker 4: now it's like, oh wow, the country doesn't have to 331 00:17:09,880 --> 00:17:12,760 Speaker 4: be insane the same way, it's really nice. We got 332 00:17:12,760 --> 00:17:14,359 Speaker 4: that going for us, which is nice. 333 00:17:14,680 --> 00:17:15,480 Speaker 1: It's super great. 334 00:17:15,560 --> 00:17:18,639 Speaker 2: And again that's why I want all of you take 335 00:17:18,680 --> 00:17:22,399 Speaker 2: a moment and just enjoy this process. Maybe it's in 336 00:17:22,440 --> 00:17:24,640 Speaker 2: the weekend. Maybe maybe you go out for a nice dinner, 337 00:17:24,760 --> 00:17:27,320 Speaker 2: maybe you just get away for a day, do something. 338 00:17:27,400 --> 00:17:29,399 Speaker 2: I know so many of us have been fighting so 339 00:17:29,680 --> 00:17:33,160 Speaker 2: hard for this win. I just want to make sure 340 00:17:33,200 --> 00:17:34,800 Speaker 2: that we all don't take. 341 00:17:34,600 --> 00:17:35,159 Speaker 1: It for granted. 342 00:17:35,200 --> 00:17:37,280 Speaker 2: You don't get very many days like this, and most 343 00:17:37,320 --> 00:17:39,680 Speaker 2: of our lives there aren't going to be this many 344 00:17:39,760 --> 00:17:43,280 Speaker 2: resounding political victories like we just got to experience. 345 00:17:43,640 --> 00:17:45,480 Speaker 4: One of the reasons you should go do something fun 346 00:17:45,520 --> 00:17:47,399 Speaker 4: is that I'll help you remember the great day to 347 00:17:47,480 --> 00:17:51,360 Speaker 4: day or do something to commemorate this. This is huge 348 00:17:51,640 --> 00:17:56,439 Speaker 4: for this country. Go enjoy yourself. But as long as 349 00:17:56,480 --> 00:17:59,480 Speaker 4: Apple's been making iPhones, there's a lot of demand right, 350 00:17:59,600 --> 00:18:01,879 Speaker 4: so much so that cell phone companies, the big names 351 00:18:01,880 --> 00:18:04,679 Speaker 4: out there, AT and T, Verizon, T Mobile, they have 352 00:18:04,760 --> 00:18:07,720 Speaker 4: these whole marketing campaigns about their latest release. But there's 353 00:18:07,720 --> 00:18:10,919 Speaker 4: a reason for this. The big cell phone providers like 354 00:18:10,960 --> 00:18:12,919 Speaker 4: to bundle their service fees and the cost of the 355 00:18:12,920 --> 00:18:15,439 Speaker 4: phone together, so you don't really know what you're paying 356 00:18:15,480 --> 00:18:17,119 Speaker 4: month to month. You're just thinking, oh, I'm getting a 357 00:18:17,119 --> 00:18:19,640 Speaker 4: deal on a phone, but it's actually not the best 358 00:18:19,680 --> 00:18:22,479 Speaker 4: plan for you. 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Check them out today. 366 00:18:45,600 --> 00:18:48,680 Speaker 4: Dial pound two fifty say the keywords Clay and Buck. 367 00:18:48,920 --> 00:18:51,800 Speaker 4: Pure Talks US customer service team will make switching easy, 368 00:18:51,840 --> 00:18:54,520 Speaker 4: no contract, no activation fee, you can even keep your 369 00:18:54,560 --> 00:18:57,160 Speaker 4: phone in your number. Dial pound two five zero say 370 00:18:57,200 --> 00:19:00,880 Speaker 4: Clay and Buck. Welcome back in Clay, Travis Sexton show. 371 00:19:00,920 --> 00:19:03,600 Speaker 4: I want to make sure staff. Let's make sure that 372 00:19:03,680 --> 00:19:06,760 Speaker 4: we do a good job tomorrow. We'll have a lot. 373 00:19:06,600 --> 00:19:10,600 Speaker 2: Of fun with just playing many of the clips of 374 00:19:10,840 --> 00:19:13,760 Speaker 2: MSNBC and CNN losing their minds. 375 00:19:13,760 --> 00:19:14,000 Speaker 1: Buck. 376 00:19:14,080 --> 00:19:17,200 Speaker 2: You shared one last night where Joy Reid, What did 377 00:19:17,240 --> 00:19:20,879 Speaker 2: she say about Kamala's campaign? Can you guys pull that 378 00:19:20,960 --> 00:19:22,560 Speaker 2: from my Twitter feed and we'll play it in a 379 00:19:22,600 --> 00:19:24,000 Speaker 2: few minutes. I know we don't have it yet, but 380 00:19:24,000 --> 00:19:27,240 Speaker 2: it'd be a lot of fun I clay, it's so funny. 381 00:19:27,280 --> 00:19:30,399 Speaker 4: Before I reached for the controller. Of course, we're watching MSNBC, 382 00:19:31,280 --> 00:19:34,000 Speaker 4: as one does on election night when the demos are losing, 383 00:19:34,359 --> 00:19:39,240 Speaker 4: and Carrie actually started reversing it before I could. She's like, 384 00:19:39,280 --> 00:19:41,520 Speaker 4: oh my god, I have to see that again. Joy 385 00:19:41,640 --> 00:19:46,800 Speaker 4: Reid said that Kamala ran a flawless and then oh, 386 00:19:46,840 --> 00:19:48,760 Speaker 4: we do have it. Okay, here we go. Cut cut 387 00:19:48,800 --> 00:19:49,840 Speaker 4: twenty two. Play it. 388 00:19:49,960 --> 00:19:53,560 Speaker 5: Let's just be clear, and nothing that was true yesterday 389 00:19:53,640 --> 00:19:57,880 Speaker 5: about how flawlessly this campaign was run is not true now. 390 00:19:58,080 --> 00:20:02,400 Speaker 5: I mean, this really was in a store flawlessly run campaign. 391 00:20:02,480 --> 00:20:06,680 Speaker 5: She had. Queen Latifa never endorses anyone she you know, 392 00:20:06,800 --> 00:20:12,400 Speaker 5: I mean, she prominent celebrity voice, she had, she had 393 00:20:12,440 --> 00:20:16,000 Speaker 5: the Taylor Swifties to the Swifties, she had the bee Hive, Like, 394 00:20:16,240 --> 00:20:18,240 Speaker 5: you could not have run a campaign in. 395 00:20:18,240 --> 00:20:20,679 Speaker 1: That short Okay, okay, Cleig, this is amazing. 396 00:20:20,680 --> 00:20:24,080 Speaker 6: First of all, she says flawless twice her her her 397 00:20:24,119 --> 00:20:28,960 Speaker 6: evidence for why it's a flawless campaign after getting obliterated. Obliterated, 398 00:20:29,040 --> 00:20:31,119 Speaker 6: like she knew the results were in. It's not like 399 00:20:31,160 --> 00:20:33,520 Speaker 6: she said this before we knew that. You know, it 400 00:20:33,560 --> 00:20:36,640 Speaker 6: was a red wave. The red wave just crushed all 401 00:20:36,680 --> 00:20:41,119 Speaker 6: these Democrats. But she says it's flawless because Queen Latifa 402 00:20:41,240 --> 00:20:43,000 Speaker 6: and Taylor Swift endorsed her. 403 00:20:43,359 --> 00:20:45,640 Speaker 4: I hope all dem I want all Democrats to take 404 00:20:45,680 --> 00:20:48,720 Speaker 4: this to heart. All you need to do is have 405 00:20:49,200 --> 00:20:53,960 Speaker 4: multimillionaire celebrities who know not a darn thing about anything 406 00:20:54,080 --> 00:20:56,399 Speaker 4: other than, you know, singing and dancing on stage to 407 00:20:56,520 --> 00:20:57,400 Speaker 4: endorse your candidate. 408 00:20:57,440 --> 00:20:59,720 Speaker 1: That's all you need. That's a flawless campaign right there. 409 00:21:00,080 --> 00:21:00,480 Speaker 1: Going with that? 410 00:21:01,160 --> 00:21:05,200 Speaker 2: Uh, I just can't believe this is real. I got 411 00:21:05,200 --> 00:21:07,640 Speaker 2: a theory, buck, I'm curious if you buy in. Last 412 00:21:07,720 --> 00:21:10,760 Speaker 2: night we were broadcasting on Fox Nation. We had Riley 413 00:21:10,800 --> 00:21:14,359 Speaker 2: Gains with Us, Morgan Ortegas, Pete hag Seth, Tommy larn 414 00:21:15,160 --> 00:21:17,280 Speaker 2: But I was talking with Riley and maybe we need 415 00:21:17,280 --> 00:21:19,119 Speaker 2: to get Riley on again because I do think this 416 00:21:19,200 --> 00:21:23,440 Speaker 2: is consequential. What's the line about, Like a butterfly flaps 417 00:21:23,480 --> 00:21:26,000 Speaker 2: its wings and then you get a hurricane. Basically like 418 00:21:26,200 --> 00:21:31,920 Speaker 2: that small events can create massive eventual outcomes relatively small events. 419 00:21:32,160 --> 00:21:37,080 Speaker 2: I got a thesis for you. When Leah Thomas decided 420 00:21:37,680 --> 00:21:41,040 Speaker 2: that he was a woman and put on a women's 421 00:21:41,119 --> 00:21:46,840 Speaker 2: swimsuit and won the nc DOUBLEA tournament, this dude backlash, 422 00:21:46,960 --> 00:21:49,840 Speaker 2: because I do think there was a dude backlash against 423 00:21:49,840 --> 00:21:55,160 Speaker 2: Democrat policies that forced Democrats to actually deal with something 424 00:21:55,200 --> 00:21:57,760 Speaker 2: that was right out there apparent a guy in a 425 00:21:57,920 --> 00:22:02,639 Speaker 2: women's swimsuit winning an NCUBLEA tournament title, and then you 426 00:22:02,760 --> 00:22:07,280 Speaker 2: NCAA championship. You have Riley Gaines saying this is unacceptable, 427 00:22:07,600 --> 00:22:10,760 Speaker 2: and it makes that a conversation and some people say, well, 428 00:22:10,800 --> 00:22:13,239 Speaker 2: I don't know why that's a story. To me, it 429 00:22:13,400 --> 00:22:17,840 Speaker 2: crystallizes the insanity of Democrat policies. And I will tell you, guys, 430 00:22:18,359 --> 00:22:20,000 Speaker 2: I watch a lot of football. It's not going to 431 00:22:20,040 --> 00:22:23,080 Speaker 2: stun any of you. I think the most single effective 432 00:22:23,160 --> 00:22:26,280 Speaker 2: ad Trump ran and it was on it felt like 433 00:22:26,359 --> 00:22:30,880 Speaker 2: every NFL game I watched, and every college football game 434 00:22:30,920 --> 00:22:35,400 Speaker 2: that I watched. It said Kamala's for they them, I'm 435 00:22:35,480 --> 00:22:40,240 Speaker 2: for you, And it was going directly after this transrelated issue. 436 00:22:40,240 --> 00:22:43,720 Speaker 2: And you know, the overall viewership, White, Black, Asian, Hispanic, 437 00:22:44,440 --> 00:22:47,480 Speaker 2: most guys. We got a lot of different races that 438 00:22:47,480 --> 00:22:50,760 Speaker 2: listen to the show. Most guys can sit down and 439 00:22:51,040 --> 00:22:55,119 Speaker 2: just talk like guys. Tim Walls was supposed to appeal 440 00:22:55,200 --> 00:22:57,680 Speaker 2: to that group. He clearly can't because he's just so 441 00:22:57,680 --> 00:23:02,800 Speaker 2: socially awkward. He's actually weird. But dudes sit around and 442 00:23:02,960 --> 00:23:05,640 Speaker 2: every guy out there listening to me right now who 443 00:23:05,680 --> 00:23:08,399 Speaker 2: has ever played a sport is like the idea that 444 00:23:08,520 --> 00:23:10,600 Speaker 2: a man is going to pretend to be a woman 445 00:23:10,760 --> 00:23:15,080 Speaker 2: and win a women's championship is so transparently crazy. Riley 446 00:23:15,320 --> 00:23:19,439 Speaker 2: just nailed this. I think that is part of the 447 00:23:19,480 --> 00:23:23,119 Speaker 2: whip saw that we got in this election because Trump 448 00:23:23,440 --> 00:23:27,000 Speaker 2: recognized it, he attacked it, and your boy Joe Scarborough 449 00:23:27,280 --> 00:23:29,800 Speaker 2: even said this morning on Morning Joe I was watching 450 00:23:29,880 --> 00:23:32,919 Speaker 2: him that Democrats had to stop saying that was okay, 451 00:23:33,600 --> 00:23:37,119 Speaker 2: And I think it even resonated with them because they're dudes. 452 00:23:37,640 --> 00:23:41,360 Speaker 4: Well, part of this was the rejection of the things 453 00:23:41,400 --> 00:23:46,160 Speaker 4: that the apparatus demands that you say and believe that 454 00:23:46,200 --> 00:23:49,679 Speaker 4: even many of the elites within it don't believe. And 455 00:23:49,800 --> 00:23:53,239 Speaker 4: I know this from Democrats that I have worked with 456 00:23:53,320 --> 00:23:56,520 Speaker 4: in the past, and including some very left wing Democrats. 457 00:23:56,920 --> 00:23:59,480 Speaker 4: They don't actually believe in this trend stuff, but they 458 00:23:59,560 --> 00:24:02,199 Speaker 4: know that it is the same way that if you 459 00:24:02,200 --> 00:24:05,760 Speaker 4: were in a communist country, you have to say things 460 00:24:05,800 --> 00:24:08,160 Speaker 4: you know to be untrue, and you have to use 461 00:24:08,400 --> 00:24:12,080 Speaker 4: jargon that is nonsensical, but as a signifier, they have 462 00:24:12,160 --> 00:24:14,760 Speaker 4: to just go along with that agenda, even though it's 463 00:24:14,800 --> 00:24:16,800 Speaker 4: absurd to them. I mean it is on a rational 464 00:24:16,920 --> 00:24:19,439 Speaker 4: level absurd, but this is what the expectation is. Or 465 00:24:19,640 --> 00:24:21,560 Speaker 4: it's something like a cult, right, something they used to 466 00:24:21,560 --> 00:24:24,000 Speaker 4: say about trumpelop But what we really saw was that 467 00:24:24,040 --> 00:24:26,360 Speaker 4: the cult was on the left, the cult of abortion. 468 00:24:26,560 --> 00:24:30,800 Speaker 4: I mean they just everything was was about women's fundamental 469 00:24:30,800 --> 00:24:33,080 Speaker 4: health choices. If it's just such an easy choice, why 470 00:24:33,080 --> 00:24:35,360 Speaker 4: not you say abortion? Why are you always couching it 471 00:24:35,680 --> 00:24:39,800 Speaker 4: and using these euphemisms for what's just a medical procedure. 472 00:24:40,040 --> 00:24:42,119 Speaker 4: I mean, if your whole medical platform is going to 473 00:24:42,119 --> 00:24:44,520 Speaker 4: be on heart surgeries, you would say heart surgeries. Why 474 00:24:44,600 --> 00:24:47,000 Speaker 4: can't you just say abortion? Well, because we all know why, 475 00:24:47,880 --> 00:24:51,280 Speaker 4: they really had a number of the Democrats under the 476 00:24:51,320 --> 00:24:54,119 Speaker 4: Biden administration. In some ways it might have even been 477 00:24:54,160 --> 00:24:58,560 Speaker 4: a continuation of COVID had these mandatory delusions that are 478 00:24:58,680 --> 00:25:02,280 Speaker 4: intellectually indefensible. And look, I'll say you know, after I 479 00:25:02,280 --> 00:25:05,119 Speaker 4: went on Bill Maher and managed to speak to a 480 00:25:05,160 --> 00:25:08,480 Speaker 4: Democrat audience with with surrounded with Democrats who were arguing 481 00:25:08,520 --> 00:25:10,320 Speaker 4: with me, although I thought Bill was actually very fair 482 00:25:10,320 --> 00:25:11,920 Speaker 4: to me, and I said that, you know, Bill will 483 00:25:12,000 --> 00:25:15,280 Speaker 4: let you talk. And Bill is actually on fifty percent 484 00:25:15,280 --> 00:25:17,000 Speaker 4: of issues now, which I know is not that much. 485 00:25:17,040 --> 00:25:20,240 Speaker 4: On fifty percent of issues, Bill Maher very sound, and 486 00:25:21,000 --> 00:25:23,560 Speaker 4: all of you listening would agree with him on about 487 00:25:23,600 --> 00:25:26,240 Speaker 4: fifty percent of stuff. Fifty percent of stuff he's still insane, 488 00:25:26,760 --> 00:25:30,280 Speaker 4: including that Trump is you know, basically orange Hitler, but Clay. 489 00:25:30,359 --> 00:25:32,639 Speaker 4: Everything that I was saying to them about you guys, 490 00:25:32,680 --> 00:25:36,840 Speaker 4: have you've maligned masculinity, You've undermined men, You've done all 491 00:25:36,840 --> 00:25:40,960 Speaker 4: these things, they just dismissed it. I mean it was dismissed. 492 00:25:41,400 --> 00:25:43,760 Speaker 4: And I think the Kamala campaign did the same thing. 493 00:25:44,400 --> 00:25:48,240 Speaker 4: And it's a little bit like they should thank us 494 00:25:48,320 --> 00:25:53,280 Speaker 4: because we have awakened them or or shook them up 495 00:25:53,320 --> 00:25:57,800 Speaker 4: and shook them out of this this delusion of a 496 00:25:57,880 --> 00:26:02,800 Speaker 4: country where and then are bad and trans You know, 497 00:26:02,960 --> 00:26:06,000 Speaker 4: men can compete against women in sports, and kids should 498 00:26:06,000 --> 00:26:10,600 Speaker 4: be getting gender reassignment pills and surgery, and you know, 499 00:26:10,640 --> 00:26:12,760 Speaker 4: these are things that, by the way, the Biden administration 500 00:26:12,960 --> 00:26:13,600 Speaker 4: made that. 501 00:26:13,880 --> 00:26:15,719 Speaker 1: A White House initiative. 502 00:26:15,720 --> 00:26:20,760 Speaker 4: I mean, they really were pushing gender transition for minors 503 00:26:20,800 --> 00:26:24,920 Speaker 4: as something that was healthcare. So this isn't They made 504 00:26:25,080 --> 00:26:27,159 Speaker 4: the thing is too. They made this an issue and 505 00:26:27,160 --> 00:26:28,719 Speaker 4: then they turned around when they realized what they had 506 00:26:28,720 --> 00:26:31,280 Speaker 4: done in service. Why are Republicans so focused on this? 507 00:26:32,920 --> 00:26:35,320 Speaker 4: And just also on the economic front. The truth is 508 00:26:35,320 --> 00:26:38,080 Speaker 4: they have to hide. Their message is to control you 509 00:26:38,119 --> 00:26:40,040 Speaker 4: and to take more of your stuff and to give 510 00:26:40,040 --> 00:26:42,840 Speaker 4: it to illegals. That is their actual economic message. That's 511 00:26:42,880 --> 00:26:44,840 Speaker 4: what they want to do. That's what they believe in. 512 00:26:45,320 --> 00:26:48,119 Speaker 4: And they can't say that and win. So that's why, Clay, 513 00:26:48,520 --> 00:26:50,679 Speaker 4: when you look at Kama's economic message, I know we 514 00:26:50,720 --> 00:26:53,040 Speaker 4: mocked her a lot for you know, I come from 515 00:26:53,080 --> 00:26:54,280 Speaker 4: a middle class family. 516 00:26:54,040 --> 00:26:54,639 Speaker 1: And we should. 517 00:26:55,760 --> 00:26:59,040 Speaker 4: But what was she going to say, I'm I'm an 518 00:26:59,080 --> 00:27:01,520 Speaker 4: idiot socialist. Then I'm going to make things rougher for 519 00:27:01,560 --> 00:27:03,880 Speaker 4: you and your family. I mean, don't they only let 520 00:27:03,920 --> 00:27:06,600 Speaker 4: you see that when it's too late and they're in power. 521 00:27:06,720 --> 00:27:09,719 Speaker 4: So that's how I viewed. I think that the Democrats 522 00:27:10,800 --> 00:27:15,680 Speaker 4: have to recognize now that there was the Looney Tunes 523 00:27:15,920 --> 00:27:19,720 Speaker 4: were too powerful within their party to be controlled, and 524 00:27:19,840 --> 00:27:23,280 Speaker 4: the American people wanted something that was a check on 525 00:27:23,359 --> 00:27:24,840 Speaker 4: this and a slapdown of it. 526 00:27:25,600 --> 00:27:29,320 Speaker 2: What they're going to have to decide is, Buck, I 527 00:27:29,320 --> 00:27:32,240 Speaker 2: would submit to you that there have been two clarifying 528 00:27:32,280 --> 00:27:35,560 Speaker 2: elections in the twenty first century. Most of them have 529 00:27:35,600 --> 00:27:39,760 Speaker 2: been very close presidential elections. Eight Obama beat McCain. I 530 00:27:39,760 --> 00:27:41,840 Speaker 2: think everybody out there would say ya, Obama one and 531 00:27:41,880 --> 00:27:44,119 Speaker 2: O eight. Now the other one is going to be 532 00:27:44,359 --> 00:27:48,920 Speaker 2: Trump one in twenty four What is the impact how 533 00:27:49,000 --> 00:27:53,720 Speaker 2: much self realization and analysis does the Democrat Party put 534 00:27:53,760 --> 00:27:55,760 Speaker 2: into itself? And Buck, I think you asked a good 535 00:27:55,840 --> 00:27:58,119 Speaker 2: question earlier in the show. Who's even the face of 536 00:27:58,160 --> 00:28:01,960 Speaker 2: the Democrat Party? Now? I think that Trump resistance has crumbled, 537 00:28:02,160 --> 00:28:04,560 Speaker 2: But who would you even point to and say this 538 00:28:04,600 --> 00:28:06,560 Speaker 2: guy or this gal is going to stand up and 539 00:28:06,600 --> 00:28:09,440 Speaker 2: hold Trump accountable. It used to be Nancy Pelosi, used 540 00:28:09,440 --> 00:28:10,840 Speaker 2: to be Chuck Schumer. I mean, there were a lot 541 00:28:10,880 --> 00:28:12,800 Speaker 2: of people who wanted to do it. Who's that person? Now? 542 00:28:13,160 --> 00:28:17,040 Speaker 4: This is also why they should have let Biden just 543 00:28:17,359 --> 00:28:20,200 Speaker 4: go down with the ship on this because the Biden 544 00:28:20,320 --> 00:28:23,040 Speaker 4: brand and Biden would have had a w NNL. They 545 00:28:23,040 --> 00:28:25,199 Speaker 4: would have been able to tell their base, Look, he 546 00:28:25,280 --> 00:28:27,720 Speaker 4: was the incumbent president. Our guy was he was just 547 00:28:27,760 --> 00:28:30,199 Speaker 4: too old and there's nothing we could do about it. 548 00:28:30,240 --> 00:28:32,080 Speaker 4: You know, it was age, but it was They could 549 00:28:32,080 --> 00:28:35,359 Speaker 4: take a it was nobody's fault and then have this 550 00:28:35,400 --> 00:28:37,680 Speaker 4: open primary. I don't think Kamala would have ever won 551 00:28:37,680 --> 00:28:40,240 Speaker 4: an open primary, but they could have actually moved forward 552 00:28:40,280 --> 00:28:43,640 Speaker 4: as a party. Now they had all these people throw 553 00:28:43,680 --> 00:28:48,200 Speaker 4: their political capital, the Obamas, the Clinton's full force behind Kamala. 554 00:28:48,560 --> 00:28:51,440 Speaker 4: They all look like buffoons now in retrospect, none of 555 00:28:51,480 --> 00:28:54,959 Speaker 4: it mattered. Who's the most powerful Democrat in the country 556 00:28:55,040 --> 00:28:57,800 Speaker 4: right now? I don't have an answer for that. 557 00:28:58,960 --> 00:28:59,440 Speaker 3: AOC. 558 00:29:01,720 --> 00:29:05,640 Speaker 4: It might be AOC, honestly, I know, I don't think 559 00:29:05,640 --> 00:29:07,760 Speaker 4: that's a bad answer as much as you know, she's 560 00:29:07,800 --> 00:29:11,200 Speaker 4: not powerful in the sense of, you know, senior in leadership, 561 00:29:11,240 --> 00:29:13,640 Speaker 4: she's not speakers, she's not vice president or president yet. 562 00:29:13,680 --> 00:29:14,520 Speaker 1: But in terms of. 563 00:29:14,640 --> 00:29:19,160 Speaker 4: Brand, yeah, I mean I think that she You know, 564 00:29:19,200 --> 00:29:21,000 Speaker 4: who's a really powerful Democrat right now? 565 00:29:21,000 --> 00:29:21,280 Speaker 3: We're not. 566 00:29:21,280 --> 00:29:22,840 Speaker 4: We weren't thinking about it, and it just shows you 567 00:29:22,880 --> 00:29:25,120 Speaker 4: what a crazy world you live in and before you 568 00:29:25,240 --> 00:29:27,360 Speaker 4: judge this comment, I want you all to think about it. 569 00:29:28,240 --> 00:29:30,520 Speaker 1: John Fetterman, Yeah. 570 00:29:30,240 --> 00:29:33,280 Speaker 4: A Democrat party that wants to win Pennsylvania is a 571 00:29:33,320 --> 00:29:37,560 Speaker 4: Democrat party that puts forward guys like Fetterman, who, Yeah, 572 00:29:37,600 --> 00:29:40,880 Speaker 4: they're Democrats, but on some issues they're not crazy, and 573 00:29:41,240 --> 00:29:42,600 Speaker 4: you can't run crazy and win. 574 00:29:43,000 --> 00:29:44,720 Speaker 2: Let me also hit you with this toub buck because 575 00:29:44,720 --> 00:29:47,320 Speaker 2: I do think it's winning the popular vote is such 576 00:29:47,360 --> 00:29:49,800 Speaker 2: a big deal here for Trump because a lot of 577 00:29:49,840 --> 00:29:52,920 Speaker 2: these Democrats that want to be the nominee in twenty 578 00:29:52,960 --> 00:29:57,320 Speaker 2: eight you're Josh Shapiro's, You're Gretchen Whitmer's. They're looking around 579 00:29:57,360 --> 00:29:59,440 Speaker 2: and saying, I've got to be able to win Michigan. 580 00:29:59,520 --> 00:30:01,560 Speaker 2: I've got to be able to win Pennsylvania. I've got 581 00:30:01,560 --> 00:30:04,640 Speaker 2: to be able to win Wisconsin. There is no pathway otherwise. 582 00:30:05,320 --> 00:30:09,000 Speaker 2: Remember how all of these Senate Democrats started running ads 583 00:30:09,040 --> 00:30:12,120 Speaker 2: with Donald Trump in them. I would submit to you 584 00:30:12,200 --> 00:30:14,280 Speaker 2: that they don't even really want to pick fights with 585 00:30:14,360 --> 00:30:17,960 Speaker 2: Trump because if they were to win, they will need 586 00:30:18,000 --> 00:30:22,120 Speaker 2: Trump voters. It's really interesting to think about because now 587 00:30:22,160 --> 00:30:25,120 Speaker 2: that he's won the Blue Wall and turned it into 588 00:30:25,120 --> 00:30:28,960 Speaker 2: the Trump Wall in the big ten states. If you're 589 00:30:29,040 --> 00:30:31,560 Speaker 2: trying to win as a Democrat, you're going to have 590 00:30:31,600 --> 00:30:33,800 Speaker 2: to get some of those people who vote for Trump 591 00:30:33,960 --> 00:30:36,560 Speaker 2: to vote for you. And I wonder whether that's going 592 00:30:36,640 --> 00:30:41,360 Speaker 2: to ameliorate some of the criticisms, alleviate some of the 593 00:30:41,400 --> 00:30:44,120 Speaker 2: criticisms that would otherwise be arising against Trump. 594 00:30:44,560 --> 00:30:46,080 Speaker 1: And I just we shared it. 595 00:30:46,120 --> 00:30:48,560 Speaker 2: But when Tim Cook, the CEO of Apple, is saying 596 00:30:48,560 --> 00:30:51,800 Speaker 2: congratulations on your dominant win, when Jeff Bezos is saying 597 00:30:51,800 --> 00:30:56,560 Speaker 2: congratulations on your dominant win. They tried to make Trump toxic, 598 00:30:56,960 --> 00:30:59,160 Speaker 2: and they tried to turn all of us who were 599 00:30:59,160 --> 00:31:03,200 Speaker 2: Trump people, so you couldn't be trusted, you couldn't be touched, 600 00:31:03,920 --> 00:31:07,840 Speaker 2: you were an other. And now when you win the 601 00:31:07,880 --> 00:31:12,440 Speaker 2: popular vote, we're not garbage anymore, we're not Nazis. Oh 602 00:31:12,520 --> 00:31:14,840 Speaker 2: you're gonna see the resistance crumble in a way that 603 00:31:14,880 --> 00:31:15,960 Speaker 2: it never has before. 604 00:31:16,480 --> 00:31:21,680 Speaker 4: It's also so nice to know that we don't have 605 00:31:21,760 --> 00:31:23,200 Speaker 4: to sit through anymore. 606 00:31:23,400 --> 00:31:23,600 Speaker 1: You know. 607 00:31:23,680 --> 00:31:28,720 Speaker 4: Liz Cheney, let me tell you, she had her usefulness. Yeah, 608 00:31:28,760 --> 00:31:31,800 Speaker 4: her usefulness to the Democrats. I mean she betrayed the 609 00:31:31,880 --> 00:31:37,720 Speaker 4: Republican and Conservative party or you know, conservative ideology entirely. 610 00:31:37,760 --> 00:31:41,160 Speaker 4: But the Democrats it was. It was the whole thing 611 00:31:41,240 --> 00:31:43,600 Speaker 4: was so exploitative that they don't like her. They don't 612 00:31:43,640 --> 00:31:47,120 Speaker 4: embrace cheneysm she was just a tool for them. But 613 00:31:47,520 --> 00:31:50,360 Speaker 4: I really do think Clay, we we won't have to 614 00:31:50,360 --> 00:31:54,400 Speaker 4: sit through anymore, you know, January sixth, Committee hearings. I 615 00:31:54,400 --> 00:31:56,760 Speaker 4: don't think Russia collusion. I'm not saying they're not going 616 00:31:56,840 --> 00:31:59,680 Speaker 4: to get crazy and try hashtag resistant stuff. I don't 617 00:31:59,680 --> 00:32:02,920 Speaker 4: want to get there today. They're still insane, the Democrats. 618 00:32:03,480 --> 00:32:07,440 Speaker 4: There's big problems, But I do think that we can 619 00:32:07,480 --> 00:32:14,800 Speaker 4: finally stop having this, this this complete onslaught of Democrat 620 00:32:14,920 --> 00:32:19,840 Speaker 4: propaganda about things that just don't matter. Like I just 621 00:32:20,360 --> 00:32:23,200 Speaker 4: I don't want to hear about the impeachments against against Trump. 622 00:32:23,280 --> 00:32:23,920 Speaker 1: They were crap. 623 00:32:24,160 --> 00:32:26,640 Speaker 4: I don't want to hear about these absurd criminal trials 624 00:32:26,680 --> 00:32:29,400 Speaker 4: they brought against Trump. They were garbage. Like, you know, 625 00:32:30,280 --> 00:32:33,000 Speaker 4: we can finally move on to an era where Trump 626 00:32:33,040 --> 00:32:35,840 Speaker 4: can do things that are positive for the country, and 627 00:32:35,920 --> 00:32:39,160 Speaker 4: at least the underhanded stuff they're gonna use to try 628 00:32:39,160 --> 00:32:42,080 Speaker 4: to stop him will be new, I think, or at 629 00:32:42,160 --> 00:32:44,600 Speaker 4: least a new version of it. I I just can't 630 00:32:44,600 --> 00:32:48,160 Speaker 4: take any more. January sixth, You know, There'll probably be 631 00:32:48,200 --> 00:32:50,040 Speaker 4: some Oliver Stone movie that'll come out. 632 00:32:49,880 --> 00:32:52,880 Speaker 6: Like the worst day since the Worst dass the Civil War. 633 00:32:53,120 --> 00:32:56,520 Speaker 1: January sixth, please cry somewhere else lives. 634 00:32:56,520 --> 00:32:58,680 Speaker 2: We've heard it enough. We're gonna talk later the week 635 00:32:58,680 --> 00:33:02,280 Speaker 2: about it. But Trump needs to pardon every January sixth defender. Absolutely, 636 00:33:03,280 --> 00:33:06,000 Speaker 2: they've all served. Now, somebody really engaged in violin acts. 637 00:33:06,040 --> 00:33:07,760 Speaker 2: Maybe there's a handful of people that don't. 638 00:33:07,800 --> 00:33:10,560 Speaker 4: But can I say this, if somebody attacked a cop, 639 00:33:11,480 --> 00:33:14,080 Speaker 4: should they should look at in another circumstance, say, I 640 00:33:14,080 --> 00:33:16,320 Speaker 4: don't know BLM riots in the summer of twenty twenty. 641 00:33:16,680 --> 00:33:19,480 Speaker 4: How long did people arrested for punching a police officer 642 00:33:19,560 --> 00:33:22,520 Speaker 4: kid in those instances? If they got ninety days, okay, 643 00:33:22,640 --> 00:33:26,200 Speaker 4: ninety days, the law is the law, but not twenty years, okay, 644 00:33:26,280 --> 00:33:29,040 Speaker 4: you know, not some crazy sentence, which is what they've 645 00:33:29,080 --> 00:33:32,920 Speaker 4: gotten because it was about overthrowing the government absurd. 646 00:33:33,720 --> 00:33:37,600 Speaker 2: Kamala Harris's final job, Buck, It's gonna be certifying Donald 647 00:33:37,640 --> 00:33:42,280 Speaker 2: Trump's electoral College victory. Ooh, I like that's gonna be fun. 648 00:33:43,040 --> 00:33:45,720 Speaker 2: Sports fans, get the prize picks right now. Prizepicks dot Com. 649 00:33:45,720 --> 00:33:47,760 Speaker 2: I named Clay get fifty bucks. I'm gonna give you 650 00:33:47,800 --> 00:33:50,320 Speaker 2: a pick tomorrow. Let's see if we can keep the 651 00:33:50,360 --> 00:33:53,360 Speaker 2: winning going. Got a great win last night. You could 652 00:33:53,360 --> 00:33:55,400 Speaker 2: play it in California, you can play it in Texas, 653 00:33:55,440 --> 00:33:56,760 Speaker 2: you can play it in Florida, you can play it 654 00:33:56,760 --> 00:33:59,560 Speaker 2: all over the country. Get hooked up right now pricepicks 655 00:33:59,560 --> 00:34:03,040 Speaker 2: dot Com. My name Clay. You will get fifty dollars 656 00:34:03,120 --> 00:34:06,280 Speaker 2: when you play five dollars, super easy. All you have 657 00:34:06,320 --> 00:34:09,520 Speaker 2: to do is pick more or less on every single 658 00:34:09,640 --> 00:34:13,280 Speaker 2: individual player that you are interested in. Touchdowns, points scored, 659 00:34:13,400 --> 00:34:17,000 Speaker 2: whatever you're interested in. Basketball. Baseball just ended, but it'll 660 00:34:17,000 --> 00:34:20,160 Speaker 2: be back before long. But football season right now going on, 661 00:34:20,320 --> 00:34:24,040 Speaker 2: Basketball season underway. Get hooked up today with pricepicks dot com. 662 00:34:24,080 --> 00:34:27,280 Speaker 2: Code Clay, get signed up. I'll give you a pick tomorrow, 663 00:34:27,280 --> 00:34:31,680 Speaker 2: hopefully can win. That's pricepicks dot Com. Code play play 664 00:34:31,719 --> 00:34:35,000 Speaker 2: Travis and Buck Sexton telling it like it is. Find 665 00:34:35,080 --> 00:34:38,399 Speaker 2: them on the free iHeartRadio app or wherever you get 666 00:34:38,440 --> 00:34:39,120 Speaker 2: your podcast. 667 00:34:39,400 --> 00:34:43,160 Speaker 4: Close it up shop today on a fantastic day for 668 00:34:43,880 --> 00:34:48,480 Speaker 4: this show for America. And we've gone the messages as 669 00:34:48,480 --> 00:34:52,200 Speaker 4: well from many of you that you think Rush is 670 00:34:52,200 --> 00:34:55,840 Speaker 4: looking down on Trump and what's going on here with 671 00:34:56,080 --> 00:34:59,280 Speaker 4: just a beaming pride, and I'm sure that is true. 672 00:34:59,360 --> 00:34:59,759 Speaker 3: It was. 673 00:35:00,520 --> 00:35:03,880 Speaker 4: It was just a necessary corrective for the madness here. 674 00:35:04,800 --> 00:35:07,440 Speaker 4: And it's a reminder of what we try to do 675 00:35:07,520 --> 00:35:09,920 Speaker 4: here on the show every day, and that is pushed 676 00:35:09,960 --> 00:35:13,120 Speaker 4: for the truth and try to help put this country 677 00:35:13,520 --> 00:35:15,680 Speaker 4: in the best possible place and moving toward the best 678 00:35:15,719 --> 00:35:16,560 Speaker 4: possible future. 679 00:35:17,520 --> 00:35:17,759 Speaker 1: We have. 680 00:35:17,880 --> 00:35:20,319 Speaker 4: Smith in Asheville, North Carolina, wants to give a shout 681 00:35:20,320 --> 00:35:22,200 Speaker 4: out to western North Carolina voters. 682 00:35:22,200 --> 00:35:23,000 Speaker 1: What's going on? Smith? 683 00:35:24,440 --> 00:35:27,760 Speaker 7: So, about three weeks ago, gentlemen, you interviewed Michelle Woodholl, 684 00:35:27,880 --> 00:35:31,200 Speaker 7: who was a political rock star here in western North Carolina, 685 00:35:31,239 --> 00:35:35,680 Speaker 7: and she correctly projected that the hard working, church going 686 00:35:36,000 --> 00:35:38,480 Speaker 7: people of the mountains of North Carolina would get out 687 00:35:38,520 --> 00:35:41,000 Speaker 7: and vote, and they did. You want to post your 688 00:35:41,080 --> 00:35:44,480 Speaker 7: child for the Trump voter. It's their folks, gentlemen, God 689 00:35:44,520 --> 00:35:44,920 Speaker 7: bless you. 690 00:35:45,640 --> 00:35:47,399 Speaker 2: Thank you for that call. And I'm glad we got 691 00:35:47,440 --> 00:35:49,160 Speaker 2: to this because I jotted it down. I wanted to 692 00:35:49,160 --> 00:35:52,719 Speaker 2: make sure we said it buck North Carolina, even after 693 00:35:52,840 --> 00:35:56,800 Speaker 2: Hurricane Helene, even after the devastation that we saw in Nashville. 694 00:35:56,840 --> 00:36:00,759 Speaker 2: I traveled there with our local affiliate and they delivered 695 00:36:00,840 --> 00:36:05,200 Speaker 2: one hundred and ninety thousand vote win for Trump. Putting 696 00:36:05,200 --> 00:36:09,640 Speaker 2: that into context, they nearly tripled his winning margin from 697 00:36:09,719 --> 00:36:14,279 Speaker 2: twenty twenty. So tar heels, y'all blew me away with 698 00:36:14,440 --> 00:36:17,880 Speaker 2: how you turned out, even with that disaster in western 699 00:36:17,920 --> 00:36:22,239 Speaker 2: North Carolina. Bravo, Bravo, bravo. Lots of good news to 700 00:36:22,280 --> 00:36:23,760 Speaker 2: go around, but that's a great story. 701 00:36:24,000 --> 00:36:26,400 Speaker 6: I can't confirm, confirm, confirm. 702 00:36:26,840 --> 00:36:29,359 Speaker 4: I'm getting some word that it is looking really good 703 00:36:29,360 --> 00:36:32,200 Speaker 4: for Sam Brown out in Nevada, so we can bring 704 00:36:32,600 --> 00:36:36,399 Speaker 4: I think the final final confirmation on this tomorrow to you. 705 00:36:37,000 --> 00:36:38,239 Speaker 1: But it is looking very good. 706 00:36:38,280 --> 00:36:41,640 Speaker 4: I'm just getting some updates from that battle account right now, Clays. 707 00:36:41,680 --> 00:36:46,640 Speaker 4: We're closing out more of the election aftermath continues. But guys, 708 00:36:47,320 --> 00:36:49,560 Speaker 4: big hug for all of you guys and gals out 709 00:36:49,560 --> 00:36:53,240 Speaker 4: there in this audience. Huge day. Go celebrate, Go enjoy,