1 00:00:00,400 --> 00:00:05,279 Speaker 1: Welcome in Friday edition Clay Travis Buck Sexton Show. Appreciate 2 00:00:05,360 --> 00:00:09,240 Speaker 1: all of you hanging out with us. As voting continues 3 00:00:09,360 --> 00:00:12,480 Speaker 1: to grow all over the country, we encourage you to 4 00:00:12,520 --> 00:00:16,479 Speaker 1: get out cast your ballot as early as you possibly can, 5 00:00:17,120 --> 00:00:22,480 Speaker 1: get those absentee ballots in, get those early voting Donald 6 00:00:22,480 --> 00:00:25,599 Speaker 1: Trump votes in, get your friends and family out to 7 00:00:25,760 --> 00:00:29,479 Speaker 1: the polls. Next week will be two weeks and the 8 00:00:29,560 --> 00:00:32,599 Speaker 1: numbers are looking good. But we've got to keep pouring 9 00:00:32,800 --> 00:00:37,120 Speaker 1: on more and more steam, more and more momentum here 10 00:00:38,400 --> 00:00:41,680 Speaker 1: as we moved throughout the course of the show, we're 11 00:00:41,680 --> 00:00:44,199 Speaker 1: gonna be having some fun with you on the Friday 12 00:00:44,360 --> 00:00:48,960 Speaker 1: edition of the program. In particular, Buck, last night, have 13 00:00:49,040 --> 00:00:50,720 Speaker 1: you ever been to the Al Smith Dinner? Did you 14 00:00:50,760 --> 00:00:52,479 Speaker 1: do this at all when you were a kid? Know 15 00:00:52,520 --> 00:00:54,920 Speaker 1: anything about it? All about it? Like, I mean, I'm 16 00:00:54,920 --> 00:00:58,520 Speaker 1: not fancy enough for the Al Smith Dinner? Will Yeah, Yeah, 17 00:00:58,560 --> 00:01:01,240 Speaker 1: I've never been. I you know, it's a big event, 18 00:01:01,320 --> 00:01:04,039 Speaker 1: So let me kind of set the table. Trump last 19 00:01:04,160 --> 00:01:06,760 Speaker 1: night was at the Al Smith Dinner, which is a 20 00:01:06,800 --> 00:01:10,880 Speaker 1: major Catholic fundraiser that basically has been going on, I 21 00:01:10,880 --> 00:01:16,520 Speaker 1: believe since the nineteen twenties and every president in the 22 00:01:16,600 --> 00:01:20,160 Speaker 1: last forty some odd years. Fifty sixty years has gone 23 00:01:20,760 --> 00:01:25,959 Speaker 1: except for Walter Mondale in nineteen eighty four, and we 24 00:01:26,120 --> 00:01:30,320 Speaker 1: know how crushed he ended up, being forty nine to one. 25 00:01:30,440 --> 00:01:34,160 Speaker 1: The only state he won was Minnesota. So surprising to 26 00:01:34,240 --> 00:01:38,080 Speaker 1: a lot of people that Kamala Harris did not show up. 27 00:01:38,600 --> 00:01:41,520 Speaker 1: And I was sitting on Sean Hannity's show last night 28 00:01:41,959 --> 00:01:44,959 Speaker 1: and they went to watch the Jim Gaffigan jokes and 29 00:01:44,959 --> 00:01:47,000 Speaker 1: then they didn't think Trump was going to talk very long. 30 00:01:47,040 --> 00:01:50,080 Speaker 1: But I ended up watching the whole thing live as 31 00:01:50,160 --> 00:01:54,200 Speaker 1: I was on Sean Hannity's show, and I have to say, 32 00:01:55,120 --> 00:01:59,200 Speaker 1: Trump absolutely killed it. And for those of you who 33 00:01:59,200 --> 00:02:02,440 Speaker 1: have not heard any of the jokes that he told 34 00:02:02,680 --> 00:02:07,040 Speaker 1: or watched the full twenty six minutes ESK I rarely 35 00:02:07,080 --> 00:02:09,760 Speaker 1: say this, I would encourage you to go watch this. 36 00:02:09,919 --> 00:02:13,400 Speaker 1: It's posted at clayanbuck dot com. It's on my Twitter 37 00:02:13,440 --> 00:02:16,400 Speaker 1: feed at Clay Travis. You can go grab it. Your 38 00:02:16,480 --> 00:02:18,880 Speaker 1: kids and your grandkids are going to be talking about 39 00:02:18,880 --> 00:02:23,800 Speaker 1: this because it is going to ricochet through all of 40 00:02:23,919 --> 00:02:29,360 Speaker 1: social media because Trump was just so good and Kamala 41 00:02:29,480 --> 00:02:33,359 Speaker 1: not being there is yet another swing in a miss 42 00:02:33,400 --> 00:02:37,960 Speaker 1: by her campaign, which seems panicked and unaware of what 43 00:02:38,200 --> 00:02:41,640 Speaker 1: strategy they are going to deploy. But I thought we 44 00:02:41,680 --> 00:02:44,760 Speaker 1: could start off buck by just having some laughs. This 45 00:02:45,040 --> 00:02:48,960 Speaker 1: was I thought Trump at his absolute best. But before 46 00:02:49,000 --> 00:02:52,160 Speaker 1: we get to that, I thought Jim Gaffigan was actually 47 00:02:52,280 --> 00:02:55,840 Speaker 1: decent as well. Here he makes a joke. You can 48 00:02:55,880 --> 00:02:59,840 Speaker 1: hear the audience grown a bit about the Democrats claiming 49 00:02:59,840 --> 00:03:02,520 Speaker 1: that they care a great deal about democracy and then 50 00:03:02,600 --> 00:03:06,200 Speaker 1: feeling the need to stage a coup to put Kamala 51 00:03:06,240 --> 00:03:08,519 Speaker 1: in instead of Biden. Listen to cut nine. 52 00:03:08,560 --> 00:03:13,520 Speaker 2: The Democrats have been telling us Trump Trump's reelection is 53 00:03:13,520 --> 00:03:17,240 Speaker 2: a threat to democracy. In fact, they were so concerned 54 00:03:17,280 --> 00:03:21,799 Speaker 2: of this threat they staged a coup. I wasted there, 55 00:03:21,840 --> 00:03:27,639 Speaker 2: democratically elected incumbent and installed Kamala Harris. In other words, 56 00:03:28,760 --> 00:03:32,799 Speaker 2: all her dreams have come Truelliant. It really makes you 57 00:03:32,919 --> 00:03:38,080 Speaker 2: consider the power of prayer, right, Cardinal, Sometimes prayers take 58 00:03:38,160 --> 00:03:41,080 Speaker 2: three and a half years. And at George cloniop. 59 00:03:40,680 --> 00:03:46,040 Speaker 1: Ed, okay, so pretty good line there. I thought Gaffigan 60 00:03:46,240 --> 00:03:48,600 Speaker 1: was fine. His job is to make fun of everybody. 61 00:03:49,120 --> 00:03:52,960 Speaker 1: But I thought, Buck, there were a series of really 62 00:03:53,000 --> 00:03:57,160 Speaker 1: good jokes from Trump, and let's let's play some of 63 00:03:57,200 --> 00:04:01,800 Speaker 1: these because I think people will enjoy this. Trump said 64 00:04:02,360 --> 00:04:05,480 Speaker 1: he's not worried about white dudes for Harris. Why not 65 00:04:05,880 --> 00:04:07,160 Speaker 1: listen to cut fourteen. 66 00:04:08,200 --> 00:04:10,720 Speaker 3: There's a group called white Dudes for Harris. Have you 67 00:04:10,760 --> 00:04:14,120 Speaker 3: seen this? White Dudes for Harris? Anybody know by some 68 00:04:14,280 --> 00:04:17,839 Speaker 3: of you hear white dudes doesn't sound like But I'm 69 00:04:17,839 --> 00:04:21,080 Speaker 3: not worried about them at all because their wives and 70 00:04:21,160 --> 00:04:28,320 Speaker 3: their wives lovers are all voting for me. Every one 71 00:04:28,360 --> 00:04:29,679 Speaker 3: of those people are voting. 72 00:04:31,680 --> 00:04:34,719 Speaker 1: I mean, Buck, that is a really, really great line. 73 00:04:34,880 --> 00:04:38,680 Speaker 1: Here's another one that I loved. Here is Trump talking 74 00:04:38,720 --> 00:04:41,040 Speaker 1: about the fact that he didn't know men could have 75 00:04:41,120 --> 00:04:44,240 Speaker 1: periods until Democrats told him. This is cut fifteen. 76 00:04:44,480 --> 00:04:47,119 Speaker 3: I used to think that Democrats were crazy for saying 77 00:04:47,160 --> 00:04:55,320 Speaker 3: that men have periods, but then I met Tim Walls. 78 00:04:56,240 --> 00:04:59,640 Speaker 1: A couple more buck that I loved. Kamala isn't there. 79 00:05:00,279 --> 00:05:02,960 Speaker 1: Gave his explanation for how they could have gotten her 80 00:05:03,000 --> 00:05:05,279 Speaker 1: to show up for this charity event. Cut sixteen. 81 00:05:05,520 --> 00:05:08,599 Speaker 3: Poles are indicating I'm leaving big with the Catholic vote, 82 00:05:09,440 --> 00:05:13,800 Speaker 3: as I should be, as I should do. But I 83 00:05:13,800 --> 00:05:16,800 Speaker 3: don't think Kamala has given up yet. She hasn't. Instead, 84 00:05:16,800 --> 00:05:22,160 Speaker 3: of attending tonight. She's in Michigan receiving communion from Gretchen Whitmer. 85 00:05:27,600 --> 00:05:32,080 Speaker 3: That's not a pretty sight. But Catholics, please don't be 86 00:05:32,240 --> 00:05:36,479 Speaker 3: too insulted by Kamala's absence. Democrats really wanted to have 87 00:05:36,600 --> 00:05:39,359 Speaker 3: someone not be with us this evening. They would have 88 00:05:39,800 --> 00:05:40,800 Speaker 3: just sent Joe Biden. 89 00:05:44,160 --> 00:05:47,080 Speaker 1: This was good stuff, buck, I thought Trump did did 90 00:05:47,200 --> 00:05:50,920 Speaker 1: very well in the roast section of this. And it's 91 00:05:50,960 --> 00:05:53,719 Speaker 1: interesting for me as I was watching this morning the 92 00:05:53,960 --> 00:05:56,560 Speaker 1: various shows I watched Trump on Fox and Friends that 93 00:05:56,600 --> 00:05:59,640 Speaker 1: I saw a bit of Morning Joe to see how 94 00:05:59,680 --> 00:06:01,920 Speaker 1: shred and upset they are at. Well, yeah, how did 95 00:06:01,920 --> 00:06:04,680 Speaker 1: they cover it on Morning Joe? I was actually curious 96 00:06:04,760 --> 00:06:09,000 Speaker 1: what their response would be. Oh there, They actually focused 97 00:06:09,040 --> 00:06:12,680 Speaker 1: on how Trump is just obsessed with the sixty minutes 98 00:06:12,720 --> 00:06:14,920 Speaker 1: interview that Kamala did. I'm sorry, with the Brett Baer 99 00:06:14,960 --> 00:06:18,840 Speaker 1: interview that Kamala did still and they I mean, I 100 00:06:18,839 --> 00:06:20,920 Speaker 1: didn't watch all four hours, so I didn't actually get 101 00:06:20,960 --> 00:06:23,640 Speaker 1: to all the conversations they were having about it. But 102 00:06:23,680 --> 00:06:27,719 Speaker 1: I can just tell you the Kamala's brave is the 103 00:06:27,880 --> 00:06:30,800 Speaker 1: is the line of the week. Kamala's brave for sitting 104 00:06:30,839 --> 00:06:36,040 Speaker 1: down once with Brett Bear from Fox News and they 105 00:06:36,080 --> 00:06:38,000 Speaker 1: didn't really want to get on too much into the 106 00:06:38,000 --> 00:06:41,839 Speaker 1: Alsmith dinner. I think Clay, because it's obviously weird that 107 00:06:41,880 --> 00:06:44,320 Speaker 1: she's not there. It's weird that she did not show 108 00:06:44,400 --> 00:06:49,080 Speaker 1: up very much show weird. And she did a canned 109 00:06:49,480 --> 00:06:54,600 Speaker 1: prepared with Molly what's her name from Bomb and he 110 00:06:54,640 --> 00:06:57,120 Speaker 1: did it like a four minute video or something that 111 00:06:57,240 --> 00:07:02,240 Speaker 1: was super weird. It was it was true horrible. It 112 00:07:01,560 --> 00:07:05,120 Speaker 1: was it was cringe inducing. It was not funny. And 113 00:07:05,200 --> 00:07:08,160 Speaker 1: I think that the only credit that I'll give to 114 00:07:08,200 --> 00:07:10,600 Speaker 1: Democrats is for every time now I want to say, 115 00:07:11,080 --> 00:07:13,840 Speaker 1: Kamala should have been there, she should have shown up. 116 00:07:14,200 --> 00:07:16,920 Speaker 1: There's something that should have been different in this strategy. 117 00:07:17,680 --> 00:07:20,000 Speaker 1: Every time she shows up anywhere, it's horrible, no matter 118 00:07:20,040 --> 00:07:22,920 Speaker 1: how stage managed it is, no matter how much she 119 00:07:23,040 --> 00:07:26,320 Speaker 1: gets prepped for it. Every time Kamala is exposed to 120 00:07:26,360 --> 00:07:29,800 Speaker 1: the public, the numbers start to go against her or 121 00:07:29,880 --> 00:07:32,560 Speaker 1: keep going against her. And so Clay, that's where I 122 00:07:32,600 --> 00:07:36,320 Speaker 1: think we're in a presidential election, and this is going 123 00:07:36,400 --> 00:07:39,880 Speaker 1: to be the case, I think for the foreseeable where 124 00:07:39,880 --> 00:07:42,600 Speaker 1: a degree of showmanship and media savvy is part of 125 00:07:42,600 --> 00:07:46,560 Speaker 1: the game. And I'm not just saying this Joe Biden. 126 00:07:46,720 --> 00:07:49,240 Speaker 1: It's not just because Buck Island sunk into the depths 127 00:07:49,240 --> 00:07:52,360 Speaker 1: of the ocean and Biden let all Buck Island residents down. 128 00:07:53,320 --> 00:07:56,480 Speaker 1: For all of the dementia and all of the shouty 129 00:07:56,560 --> 00:07:59,840 Speaker 1: bully stuff that Biden does, he does know when to grin. 130 00:08:00,360 --> 00:08:04,080 Speaker 1: He does have his lines. He does he has been 131 00:08:04,160 --> 00:08:10,040 Speaker 1: trained for fifty years to be this politician figure, and 132 00:08:10,080 --> 00:08:13,920 Speaker 1: he's able to pull that off. Kamala Harris is not 133 00:08:14,280 --> 00:08:19,000 Speaker 1: good at this. She is not somebody who, based on 134 00:08:19,040 --> 00:08:21,880 Speaker 1: the merits of her political skills, would have gotten ahead. 135 00:08:21,920 --> 00:08:23,920 Speaker 1: And I know people say, well, how is she vice president? 136 00:08:24,480 --> 00:08:27,320 Speaker 1: She was picked? You know, she was chosen, and she 137 00:08:27,400 --> 00:08:29,400 Speaker 1: wasn't chosen because she was so amazing and did some 138 00:08:29,480 --> 00:08:32,679 Speaker 1: on the primary. How did she become the presidential nominee? 139 00:08:32,760 --> 00:08:38,080 Speaker 1: She was chosen? How did she become the district attorney chosen? 140 00:08:38,160 --> 00:08:40,400 Speaker 1: I mean, you look at all these things in that 141 00:08:40,440 --> 00:08:43,480 Speaker 1: case by the Democrat apparatus. But she's not good at 142 00:08:43,480 --> 00:08:46,400 Speaker 1: winning people over. And I think as much as it 143 00:08:46,440 --> 00:08:48,360 Speaker 1: was weird, she wasn't there. What I'm trying to say 144 00:08:48,400 --> 00:08:50,040 Speaker 1: is I think it would have been worse if she 145 00:08:50,200 --> 00:08:52,640 Speaker 1: was clay, because that's how bad at this she is. 146 00:08:52,760 --> 00:08:56,040 Speaker 1: She can't be funny, she can't be likable, and we 147 00:08:56,160 --> 00:08:57,920 Speaker 1: just got to stay focused on the task at hand, 148 00:08:57,960 --> 00:09:01,520 Speaker 1: because victory is within Trump's grasp. The only reason she 149 00:09:02,120 --> 00:09:04,480 Speaker 1: wasn't there is, I think what you hit on the 150 00:09:04,520 --> 00:09:07,439 Speaker 1: fact that they thought she would be so bad at 151 00:09:07,480 --> 00:09:10,520 Speaker 1: this because Hillary showed up in twenty sixteen and I 152 00:09:10,520 --> 00:09:14,120 Speaker 1: thought was pretty good and certainly everybody else. Let me 153 00:09:14,200 --> 00:09:15,720 Speaker 1: hit you with a couple of more of these jokes, 154 00:09:15,720 --> 00:09:19,520 Speaker 1: because I really did think that he dominated. Chuck Schumer 155 00:09:19,600 --> 00:09:22,720 Speaker 1: was sitting next to him, and Trump turned to Chuck 156 00:09:22,760 --> 00:09:24,719 Speaker 1: Schumer and said, this cut. 157 00:09:24,440 --> 00:09:30,120 Speaker 3: Tin, Chuck Schumer is here looking very glumb. This day 158 00:09:30,160 --> 00:09:35,120 Speaker 3: looks c love me, it looks lovely. But look on 159 00:09:35,240 --> 00:09:39,280 Speaker 3: the bright set, Chuck, considering how woke your party has become. 160 00:09:40,080 --> 00:09:42,280 Speaker 3: If Kamala loses, you used to have a chance to 161 00:09:42,320 --> 00:09:44,160 Speaker 3: become the first woman president. 162 00:09:49,640 --> 00:09:53,120 Speaker 1: And one more that I thought was just great, Trump 163 00:09:53,200 --> 00:09:58,320 Speaker 1: going after Doug m. Hoff, Kamala's husband, cut thirteen. 164 00:09:58,280 --> 00:10:01,520 Speaker 3: A major issue in this race his childcare, and Kamala 165 00:10:01,600 --> 00:10:05,320 Speaker 3: has put forward a concept of a plan. A lot 166 00:10:05,320 --> 00:10:07,600 Speaker 3: of people don't like it. The only piece of advice 167 00:10:07,640 --> 00:10:10,400 Speaker 3: I would have for her and the event that she wins, 168 00:10:10,440 --> 00:10:14,719 Speaker 3: would be not to let her husband Doug anywhere near 169 00:10:14,760 --> 00:10:16,280 Speaker 3: the nannies. Just keep them away. 170 00:10:17,480 --> 00:10:22,680 Speaker 1: That's a nasty one. That's nasty. That was the only 171 00:10:22,720 --> 00:10:24,920 Speaker 1: one where I got to say. I was like, ooh, 172 00:10:25,000 --> 00:10:28,040 Speaker 1: I want it. I loved it. I loved it, and 173 00:10:28,120 --> 00:10:30,120 Speaker 1: I loved that. He said, oh, that's an I got 174 00:10:30,120 --> 00:10:32,480 Speaker 1: one more for you, because this is also tying in 175 00:10:32,520 --> 00:10:34,640 Speaker 1: with New York City. Eric Adams was there, and there 176 00:10:34,679 --> 00:10:38,760 Speaker 1: were some good Eric Adams jokes, but cut eleven. He 177 00:10:38,800 --> 00:10:41,240 Speaker 1: said he had to finish his roast for this reason. 178 00:10:41,559 --> 00:10:44,080 Speaker 3: Well, I had better wrap up because Mayor Adams told 179 00:10:44,120 --> 00:10:47,400 Speaker 3: me earlier that I needed to make this one very quick, 180 00:10:47,520 --> 00:10:51,360 Speaker 3: especially the city has reserved this room for a large 181 00:10:51,360 --> 00:10:53,920 Speaker 3: group of illegal aliens coming in from Texas. 182 00:10:55,000 --> 00:10:56,559 Speaker 1: That's right, They've reserved. 183 00:10:56,120 --> 00:10:59,720 Speaker 3: Many rooms, many rooms, a lot of rooms, too many rooms. 184 00:11:00,679 --> 00:11:04,480 Speaker 1: I like what he said, Mayor Adams sponsored by Turkish Airline. 185 00:11:04,720 --> 00:11:07,600 Speaker 1: That was really really funny. That was a great line. 186 00:11:07,760 --> 00:11:10,560 Speaker 1: There was I mean GAFFI I thought Gaffigan's best line 187 00:11:10,600 --> 00:11:16,640 Speaker 1: buck I wrote it down was uh he said, uhh 188 00:11:17,080 --> 00:11:19,720 Speaker 1: that basically ten million is a lot because they were 189 00:11:19,720 --> 00:11:22,559 Speaker 1: talking about the money they were raising there. Ten million 190 00:11:22,640 --> 00:11:24,800 Speaker 1: is a lot considering you can get a mayor for 191 00:11:24,840 --> 00:11:27,719 Speaker 1: two business class seats on Turkish air lines. I mean, 192 00:11:27,960 --> 00:11:31,520 Speaker 1: that's that's a pretty good line that the Jim gag. 193 00:11:31,679 --> 00:11:34,840 Speaker 1: That was a gaffigan gafigan. Look, I thought that he did. 194 00:11:35,360 --> 00:11:38,400 Speaker 1: Remember it's not supposed to be attack one side and 195 00:11:38,440 --> 00:11:40,440 Speaker 1: not the other. I think he gave both sides some 196 00:11:40,600 --> 00:11:42,600 Speaker 1: guff I think he gave them both a little bit 197 00:11:42,600 --> 00:11:45,360 Speaker 1: of a razzing and uh and I think that he 198 00:11:45,400 --> 00:11:47,439 Speaker 1: did a very good job actually, and he kept it clean. 199 00:11:47,520 --> 00:11:49,960 Speaker 1: There was nothing that you know, you didn't get a 200 00:11:50,000 --> 00:11:52,880 Speaker 1: sense that he was trying to get the you know, yes, 201 00:11:53,000 --> 00:11:55,720 Speaker 1: Queen left like clapping for him and everything else. He 202 00:11:55,760 --> 00:11:57,720 Speaker 1: actually did the task at hand. I thought he was 203 00:11:57,840 --> 00:12:00,200 Speaker 1: very I thought he was very good for what what's 204 00:12:00,240 --> 00:12:03,600 Speaker 1: supposed to be. Yeah, and look, we talk about bravery 205 00:12:03,640 --> 00:12:06,439 Speaker 1: from Kamala because she set for Fox News. What about 206 00:12:06,440 --> 00:12:10,319 Speaker 1: Trump rolling into a room. Letitia James is on the 207 00:12:10,440 --> 00:12:17,120 Speaker 1: rostrum there, Kathy Hokeel, Chuck Schumer, Kirsten gillibrand lots of 208 00:12:17,240 --> 00:12:20,880 Speaker 1: people in New York Democrat politics who have not only 209 00:12:20,920 --> 00:12:23,640 Speaker 1: tried to bankrupt him, they have tried to put him 210 00:12:23,640 --> 00:12:26,040 Speaker 1: in prison for the rest of his life. They have 211 00:12:26,160 --> 00:12:29,520 Speaker 1: gone through every aspect of his life with a fine 212 00:12:29,559 --> 00:12:33,800 Speaker 1: tooth comb, looking for the smallest possible detail to be 213 00:12:33,880 --> 00:12:37,360 Speaker 1: able to exploit to their political advantage. They have, in 214 00:12:37,400 --> 00:12:41,240 Speaker 1: my mind, created a situation where people feel like they 215 00:12:41,240 --> 00:12:44,160 Speaker 1: need to kill him because they have branded him as Hitler. 216 00:12:44,640 --> 00:12:48,440 Speaker 1: And he rolled in there and delivered. I'm telling you, 217 00:12:48,520 --> 00:12:50,480 Speaker 1: please go watch this. You just heard a bunch of 218 00:12:50,480 --> 00:12:53,920 Speaker 1: the jokes. But what I thought was good was it 219 00:12:54,040 --> 00:12:57,600 Speaker 1: mixed the humor with somber reflection upon the fact that 220 00:12:57,640 --> 00:12:59,680 Speaker 1: he felt fortunate to be able to be there at 221 00:12:59,720 --> 00:13:02,720 Speaker 1: the chair event because he felt like it was a 222 00:13:02,720 --> 00:13:06,360 Speaker 1: blessing from God that he's not dead, and Milania was 223 00:13:06,440 --> 00:13:10,000 Speaker 1: there with him, and I just thought it was a 224 00:13:10,040 --> 00:13:13,960 Speaker 1: home run event for Trump. And again, you know this, Buck, 225 00:13:14,000 --> 00:13:16,120 Speaker 1: But I think our audience needs to still kind of 226 00:13:16,240 --> 00:13:21,199 Speaker 1: conceptualize the modern media environment. Whatever happens happens, and people 227 00:13:21,280 --> 00:13:25,200 Speaker 1: can watch it, but then the reverberations, the echoes of 228 00:13:25,280 --> 00:13:29,240 Speaker 1: all of these incidents play out on social media for 229 00:13:29,280 --> 00:13:32,040 Speaker 1: the next four or five days, and people who never 230 00:13:32,080 --> 00:13:34,480 Speaker 1: would have seen it before see it. And I'm telling you, 231 00:13:34,520 --> 00:13:36,760 Speaker 1: these Trump jokes, the ones that I played for you 232 00:13:37,240 --> 00:13:40,760 Speaker 1: for young voters out there, are going to make him 233 00:13:41,120 --> 00:13:44,320 Speaker 1: really hard to dislike. I just thought this was a 234 00:13:44,360 --> 00:13:48,080 Speaker 1: home run. Like it reminded me a bit. Remember when 235 00:13:48,160 --> 00:13:52,000 Speaker 1: Ricky Gervais did that phenomenal open at the Golden Globes 236 00:13:52,040 --> 00:13:54,520 Speaker 1: where he showed up and just threw everything right in 237 00:13:54,559 --> 00:13:58,199 Speaker 1: Hollywood's face and they had to laugh with him. Felt 238 00:13:58,200 --> 00:14:01,080 Speaker 1: like that with Trump to me, showing up right there 239 00:14:01,120 --> 00:14:04,240 Speaker 1: in the heart of liberal New York City and just 240 00:14:04,480 --> 00:14:07,360 Speaker 1: owning the night felt like Ricky Gervay's a bit at 241 00:14:07,400 --> 00:14:11,280 Speaker 1: the Golden globe several years ago. Although Trump is very 242 00:14:11,400 --> 00:14:15,240 Speaker 1: much of them. And you know, he's been a fixture 243 00:14:15,240 --> 00:14:17,400 Speaker 1: at the Al Smith Dinner for a long time, right, 244 00:14:17,480 --> 00:14:20,680 Speaker 1: So he's not like the from showbiz too. I mean, 245 00:14:21,400 --> 00:14:23,320 Speaker 1: I know, but I'm just saying, it's not like he 246 00:14:23,360 --> 00:14:25,400 Speaker 1: came in there and doesn't have a long I don't 247 00:14:25,440 --> 00:14:28,120 Speaker 1: think Ricky Gervais had ever hosted that thing before. I 248 00:14:28,160 --> 00:14:30,840 Speaker 1: mean Trump. There there are people who argue that Trump 249 00:14:30,840 --> 00:14:33,280 Speaker 1: decided to run because Barack Obama made fun of him 250 00:14:33,280 --> 00:14:35,400 Speaker 1: at the Al Smith Dinner. You know, I mean there's 251 00:14:35,400 --> 00:14:39,880 Speaker 1: a there's a real White House corresponding. But yes, that 252 00:14:39,960 --> 00:14:42,520 Speaker 1: is yeah. But but you know, there's a real history 253 00:14:42,520 --> 00:14:46,120 Speaker 1: of Trump being at al Smith twenty sixteen against Hillary, right, 254 00:14:46,160 --> 00:14:49,960 Speaker 1: I mean this is yeah, which he he referenced it. Look, 255 00:14:50,000 --> 00:14:52,080 Speaker 1: I thought, I thought he did very very well. And 256 00:14:52,640 --> 00:14:54,320 Speaker 1: I don't know if this moves the needle in any way, 257 00:14:54,360 --> 00:14:56,480 Speaker 1: but it does just prove everything we say about Kamlin 258 00:14:56,520 --> 00:15:02,000 Speaker 1: Trump's ability with UH performing and connecting. I'll put it 259 00:15:02,000 --> 00:15:05,200 Speaker 1: this way. Do you remember Adolf Hitler ever killing at 260 00:15:05,240 --> 00:15:08,480 Speaker 1: a charity event with great jokes? Don't remember that as 261 00:15:08,520 --> 00:15:11,960 Speaker 1: part of the Nazi parties Adolf Hitler World. No, the 262 00:15:12,000 --> 00:15:14,640 Speaker 1: furor was not known for stand up. That is true. Yes, 263 00:15:14,720 --> 00:15:18,520 Speaker 1: I think that's right. Hillsdale College, Look, I love this place. 264 00:15:18,560 --> 00:15:21,600 Speaker 1: Their tireless and their educational pursuits. They take back to 265 00:15:21,680 --> 00:15:25,480 Speaker 1: basics approaches, something that's sorely missing at so many other 266 00:15:25,560 --> 00:15:29,240 Speaker 1: schools you see that focus on woke ideology. The University 267 00:15:29,240 --> 00:15:32,280 Speaker 1: of Michigan is a big article, two hundred and fifty 268 00:15:32,440 --> 00:15:35,880 Speaker 1: million dollars they've spent on DEI. I was reading this 269 00:15:36,040 --> 00:15:39,760 Speaker 1: article and all it did was destroy the entire fabric 270 00:15:39,880 --> 00:15:42,520 Speaker 1: of the University. That's not happening at Hillsdale. They are 271 00:15:42,560 --> 00:15:47,360 Speaker 1: focusing on eternal truths and history and the importance of 272 00:15:47,400 --> 00:15:50,400 Speaker 1: founding documents, and right now they're giving away free copies 273 00:15:50,440 --> 00:15:53,720 Speaker 1: of the Constitution and the Declaration of Independence. Their goal 274 00:15:53,800 --> 00:15:56,000 Speaker 1: is to put a pocket constitution in the hands of 275 00:15:56,040 --> 00:15:59,160 Speaker 1: a million Americans who don't have one, owning one and 276 00:15:59,200 --> 00:16:02,360 Speaker 1: rereading it remind you of how beautiful our republic is 277 00:16:02,400 --> 00:16:06,240 Speaker 1: and how carefully thought out our forefathers truly were. But 278 00:16:06,320 --> 00:16:09,160 Speaker 1: the offer is only for a limited time, so claim 279 00:16:09,200 --> 00:16:15,000 Speaker 1: your free pocket sized Constitution today at clayanbuckfour Hillsdale dot com. 280 00:16:15,120 --> 00:16:19,520 Speaker 1: Hillsdale's been defending and expanding our liberties since the inception 281 00:16:19,720 --> 00:16:23,400 Speaker 1: in the mid eighteen hundreds. It's there forever mission website 282 00:16:23,440 --> 00:16:29,800 Speaker 1: again clayanbuckfour Hillsdale dot com. That's Clayanbuck forour Hillsdale. 283 00:16:29,320 --> 00:16:34,360 Speaker 4: Dot com saving America, one thought at a time. 284 00:16:34,680 --> 00:16:38,560 Speaker 1: Clay Travis and Buck Sexton. Find them on the free 285 00:16:38,640 --> 00:16:42,680 Speaker 1: iHeartRadio app or wherever you get your podcasts. Welcome back 286 00:16:42,720 --> 00:16:47,480 Speaker 1: in Clay Travis buck Sexton Show. We like the joke. 287 00:16:47,920 --> 00:16:52,280 Speaker 1: They are echoing, reverberating all over the internet. People love them. 288 00:16:52,360 --> 00:16:56,840 Speaker 1: But on MSNBC al Sharpton Buck said that this was 289 00:16:56,880 --> 00:17:00,720 Speaker 1: offensive Cut twenty one. 290 00:17:00,960 --> 00:17:03,520 Speaker 5: I think it's been clear for those of us that 291 00:17:03,640 --> 00:17:06,439 Speaker 5: have known and dealt with Donald Trump throwing con for 292 00:17:06,600 --> 00:17:10,560 Speaker 5: years that he is really, in many ways not the 293 00:17:10,640 --> 00:17:13,760 Speaker 5: Donald Trump that we fought or that we dealt with. 294 00:17:13,840 --> 00:17:17,879 Speaker 5: No energy, There no sound bites that make sense. He's 295 00:17:17,960 --> 00:17:21,080 Speaker 5: lost it, and I think that it's almost like pushing 296 00:17:21,080 --> 00:17:23,760 Speaker 5: an old boxer back in the ring that you know 297 00:17:23,880 --> 00:17:25,880 Speaker 5: he can't fight, but just tell them the hold on 298 00:17:26,240 --> 00:17:28,440 Speaker 5: to the tenth round, and they're trying to make him 299 00:17:28,480 --> 00:17:31,280 Speaker 5: hold on, and he just doesn't have it. He's sitting 300 00:17:31,320 --> 00:17:33,440 Speaker 5: in the stool saying, I don't want to go back 301 00:17:33,440 --> 00:17:36,199 Speaker 5: out there. I mean last night his appearance at the 302 00:17:36,200 --> 00:17:36,639 Speaker 5: Alfred E. 303 00:17:36,800 --> 00:17:38,800 Speaker 1: Smith dinner was ridiculous. 304 00:17:38,840 --> 00:17:41,520 Speaker 5: It was offensive, and it was way off the mob. 305 00:17:43,119 --> 00:17:46,040 Speaker 1: Like some of these arguments, Buck, you could make arguments 306 00:17:46,080 --> 00:17:48,120 Speaker 1: about Trump that you don't like him, things like that. 307 00:17:49,000 --> 00:17:52,400 Speaker 1: I don't know that I've ever seen Trump more on 308 00:17:52,600 --> 00:17:55,960 Speaker 1: the mark in terms of humor, in terms of working 309 00:17:56,000 --> 00:17:59,040 Speaker 1: the room. Listen to what Kamala's team put out after 310 00:17:59,119 --> 00:18:03,280 Speaker 1: she did that awful, stupid video. Donald Trump struggled to 311 00:18:03,359 --> 00:18:08,359 Speaker 1: read scripted notes written by his handlers, repeatedly complained that 312 00:18:08,400 --> 00:18:12,400 Speaker 1: he couldn't use a teleprompter. He stumbled over his words, 313 00:18:12,600 --> 00:18:15,720 Speaker 1: lashed out when the crowd wouldn't laugh with him. The 314 00:18:15,880 --> 00:18:18,680 Speaker 1: rare moments he was off script, he went on long 315 00:18:18,880 --> 00:18:24,959 Speaker 1: incomprehensible rambles, reminding Americans how unstable he's become. And of 316 00:18:25,000 --> 00:18:28,240 Speaker 1: course he made it all about himself. He may refuse 317 00:18:28,280 --> 00:18:31,400 Speaker 1: to release his medical records, but every day he makes 318 00:18:31,440 --> 00:18:34,439 Speaker 1: it clear to the American people he's not up to 319 00:18:34,520 --> 00:18:41,320 Speaker 1: the job. I watched the entire speech. It is crazy 320 00:18:41,320 --> 00:18:44,520 Speaker 1: to me that that could be what anyone could take 321 00:18:44,680 --> 00:18:47,440 Speaker 1: away from this. And Buck, I can't believe I'm gonna 322 00:18:47,440 --> 00:18:52,560 Speaker 1: say this. Brian Stelter on CNN actually made sense. I 323 00:18:52,600 --> 00:18:56,040 Speaker 1: can't believe I'm saying it. Buck. Listen to Cut twenty two. 324 00:18:56,800 --> 00:19:01,000 Speaker 1: Brian Stelter, fresh off his fresh cry over COVID, he 325 00:19:01,040 --> 00:19:03,080 Speaker 1: went on and said Trumble was pretty good. 326 00:19:03,440 --> 00:19:04,840 Speaker 6: Oh no, don't ask me. First. 327 00:19:05,440 --> 00:19:06,520 Speaker 1: I thought he was funny. 328 00:19:06,960 --> 00:19:08,840 Speaker 6: I thought he actually got a few great jokes in. 329 00:19:09,200 --> 00:19:10,840 Speaker 6: I thought the best moment was we talked about the 330 00:19:10,840 --> 00:19:14,240 Speaker 6: assassination attempts and made light of what he's experienced because 331 00:19:14,240 --> 00:19:17,960 Speaker 6: I think he's experiencing real trauma, real PTSD as a 332 00:19:18,000 --> 00:19:21,520 Speaker 6: result of the shootings, but he's still able to have 333 00:19:22,040 --> 00:19:25,440 Speaker 6: a light moment in this room, and he took advantage 334 00:19:25,440 --> 00:19:27,440 Speaker 6: of the fact that Kamala Harris wasn't there. 335 00:19:28,960 --> 00:19:32,960 Speaker 1: Right, I can't believe it much other than the yeah, 336 00:19:33,200 --> 00:19:37,080 Speaker 1: I have a theory. Okay. You may have seen recently 337 00:19:37,880 --> 00:19:42,520 Speaker 1: that Mark Zuckerberg has put on a little muscle, been 338 00:19:42,560 --> 00:19:46,480 Speaker 1: doing some jiu jitsu, grown a beard, is a little 339 00:19:46,560 --> 00:19:49,720 Speaker 1: more dare I say, masculine. And now it could just 340 00:19:49,760 --> 00:19:52,520 Speaker 1: be you know, higher protein intake, going to the gym 341 00:19:52,680 --> 00:19:55,720 Speaker 1: or whatever. But as that has happened, he has also 342 00:19:55,840 --> 00:19:59,160 Speaker 1: gotten a little more to the right. He's not right wing, 343 00:19:59,240 --> 00:20:03,720 Speaker 1: but he is just certainly tacking toward the right. Brian Stelter, 344 00:20:04,040 --> 00:20:05,840 Speaker 1: is it possible? I mean, I don't know. Is he 345 00:20:05,920 --> 00:20:09,439 Speaker 1: hitting some chalk? Is he hitting maybe a little little trt, 346 00:20:09,640 --> 00:20:11,920 Speaker 1: you know, maybe taking some peptides or something. Is Is 347 00:20:12,640 --> 00:20:18,879 Speaker 1: he going against the trend of Stelter's particular lack of 348 00:20:19,119 --> 00:20:21,520 Speaker 1: masculinity by saying, you know what, I'm gonna man up 349 00:20:21,800 --> 00:20:24,880 Speaker 1: and I finally have a little bit of intestinal fortitude. 350 00:20:24,920 --> 00:20:26,719 Speaker 1: I'm just throwing it out. There's a theory because as 351 00:20:26,760 --> 00:20:29,359 Speaker 1: people get as people get a little more masculine, they 352 00:20:29,359 --> 00:20:31,120 Speaker 1: get a little more right wing, tends to be the 353 00:20:31,720 --> 00:20:34,720 Speaker 1: what we see happening in public. I love the idea 354 00:20:34,720 --> 00:20:39,320 Speaker 1: of having testosterone level test for Trump and Commala voters 355 00:20:39,320 --> 00:20:43,080 Speaker 1: who are male, because I think, much as the NPR 356 00:20:43,160 --> 00:20:46,760 Speaker 1: guys like tested off the charts on the far end 357 00:20:46,840 --> 00:20:50,520 Speaker 1: of basically having no testosterone, I think that most of 358 00:20:50,560 --> 00:20:54,639 Speaker 1: the white dudes for Harris, and the black dudes for Harris, 359 00:20:54,680 --> 00:20:57,880 Speaker 1: and the Asian dudes for Harris, and the Hispanic dudes 360 00:20:57,920 --> 00:20:59,960 Speaker 1: for Harris, I think a lot of them have high 361 00:21:00,080 --> 00:21:02,840 Speaker 1: the tiny testostero levels better. Can I just tell you 362 00:21:02,960 --> 00:21:07,560 Speaker 1: quite like I think if you had a real like, 363 00:21:07,600 --> 00:21:10,080 Speaker 1: if you did some the same way, you can pull 364 00:21:10,119 --> 00:21:12,640 Speaker 1: the relatively small group and extrapolate from that. I think 365 00:21:12,680 --> 00:21:15,600 Speaker 1: if you did of just of men, I think you 366 00:21:15,640 --> 00:21:19,840 Speaker 1: would find that there is in fact a standard deviation 367 00:21:20,080 --> 00:21:24,160 Speaker 1: difference in age correlated right. And you know, a twenty 368 00:21:24,240 --> 00:21:27,760 Speaker 1: year old Kamala male Kamala voter is going to have 369 00:21:27,840 --> 00:21:29,560 Speaker 1: more testoster than you'd me because you know when you're 370 00:21:29,560 --> 00:21:31,280 Speaker 1: when you're in your twenties, that's really when you're at 371 00:21:31,280 --> 00:21:34,679 Speaker 1: your absolute peak age correlated, I think that men voting 372 00:21:34,720 --> 00:21:38,000 Speaker 1: for Kamala have a standard deviation or you know, a 373 00:21:38,040 --> 00:21:43,200 Speaker 1: substantially statistically significant degree lower testosterone. I think that's true, 374 00:21:43,200 --> 00:21:44,920 Speaker 1: and I think that's why they're so sensitive about the 375 00:21:44,960 --> 00:21:47,879 Speaker 1: masculinity conversation which I got caught up in in the 376 00:21:47,880 --> 00:21:50,840 Speaker 1: Bill Mars Show. I think it's reality. I think you're right. 377 00:21:51,240 --> 00:21:54,080 Speaker 1: By the way, Cameron in Virginia wants to call in, 378 00:21:54,119 --> 00:21:55,840 Speaker 1: she got a question for us. Cameron, what's up? 379 00:21:56,960 --> 00:21:59,760 Speaker 7: Hey, guys. First of all, love the show, listen every 380 00:21:59,800 --> 00:22:02,600 Speaker 7: day while my kids are at school. And I have 381 00:22:02,720 --> 00:22:06,200 Speaker 7: a theory. I was listening to the Al Smith's remarks 382 00:22:06,200 --> 00:22:08,240 Speaker 7: from Trump last night and I looked at my husband 383 00:22:08,240 --> 00:22:14,400 Speaker 7: and I said, Clay Travis wrote these jokes that would 384 00:22:14,480 --> 00:22:18,400 Speaker 7: be you last week. You do comedy, and those were 385 00:22:18,560 --> 00:22:21,840 Speaker 7: your jokes. That was your material and it was funny. 386 00:22:23,080 --> 00:22:25,280 Speaker 1: I did not write thank you for the call camera, 387 00:22:25,320 --> 00:22:28,679 Speaker 1: and I do think the jokes are really funny. I 388 00:22:28,720 --> 00:22:31,320 Speaker 1: did not. I was not involved in writing the jokes. 389 00:22:31,480 --> 00:22:35,159 Speaker 1: I did do the comedy show with Adam Carolla in 390 00:22:35,359 --> 00:22:37,800 Speaker 1: Zany's last week and we had a lot of fun. 391 00:22:37,880 --> 00:22:41,200 Speaker 1: His podcast is up we had Adam Carolla on the program. 392 00:22:41,359 --> 00:22:43,800 Speaker 1: We have audio video of Clay doing stand up because 393 00:22:43,840 --> 00:22:46,600 Speaker 1: this needs to go up on clayanbuck dot com. I 394 00:22:46,640 --> 00:22:49,080 Speaker 1: don't know if there's that's a great question, and it 395 00:22:49,119 --> 00:22:51,199 Speaker 1: wasn't really stand up, but he was on a stool. 396 00:22:51,359 --> 00:22:53,080 Speaker 1: I was on a stool. We were kind of just 397 00:22:53,080 --> 00:22:56,639 Speaker 1: making jokes, going back and forth. But I said before 398 00:22:56,680 --> 00:23:00,080 Speaker 1: and I would do this, I should do another. I 399 00:23:00,080 --> 00:23:03,959 Speaker 1: should do a stand up performance. I think again, I 400 00:23:03,960 --> 00:23:06,399 Speaker 1: think I could kill it after the election, when things 401 00:23:06,440 --> 00:23:09,160 Speaker 1: calm down. I think that would be a really fun 402 00:23:09,200 --> 00:23:11,159 Speaker 1: thing to do, just to go out. I'm not going 403 00:23:11,240 --> 00:23:14,439 Speaker 1: to test the material, right. So the one advantage that 404 00:23:14,480 --> 00:23:17,280 Speaker 1: comedians have, Buck, is you can figure out how to 405 00:23:17,840 --> 00:23:20,680 Speaker 1: organize your joke based on how the crowd responds. I 406 00:23:20,720 --> 00:23:23,359 Speaker 1: would argue this is what Trump does so well. He 407 00:23:23,400 --> 00:23:25,879 Speaker 1: has an intuitive sense for how to work a crowd 408 00:23:25,920 --> 00:23:27,520 Speaker 1: and work a room. And you could hear it with 409 00:23:27,560 --> 00:23:33,000 Speaker 1: that Al Smith event last night, and he is able 410 00:23:33,119 --> 00:23:36,760 Speaker 1: to craft a speech that works well based on knowing 411 00:23:36,800 --> 00:23:40,360 Speaker 1: how the crowd responds. And that's basically what comedians do. 412 00:23:40,440 --> 00:23:41,639 Speaker 1: I mean, they got a lot of jokes and they 413 00:23:41,680 --> 00:23:44,040 Speaker 1: figure out how to put them together. Look from a 414 00:23:44,119 --> 00:23:50,840 Speaker 1: purely entertainment and comedia comedian or comedic appreciation point of view, 415 00:23:51,640 --> 00:23:55,680 Speaker 1: we gotta have Trump for four more years because everyone 416 00:23:55,760 --> 00:23:58,560 Speaker 1: knows I would JD. I was like the original conductor 417 00:23:58,560 --> 00:24:02,520 Speaker 1: on the JD Vents for VP. Okay, but not as 418 00:24:02,520 --> 00:24:05,240 Speaker 1: funny as Trump. No one's gonna be as funny as Trump. 419 00:24:05,320 --> 00:24:07,399 Speaker 1: As Trump and politics, and it's not that big of 420 00:24:07,400 --> 00:24:09,720 Speaker 1: a deal. But I'm just saying it's gonna be whoever 421 00:24:09,760 --> 00:24:12,280 Speaker 1: it is going forward, it's gonna be a letdown. And 422 00:24:12,320 --> 00:24:15,920 Speaker 1: I don't just mean funny, I mean entertainment value. Clake, 423 00:24:16,040 --> 00:24:19,280 Speaker 1: think of all the jobs created by Trump, just in 424 00:24:19,359 --> 00:24:23,600 Speaker 1: terms of Trump impersonators. That guy Shane Gillis, I've never 425 00:24:23,640 --> 00:24:26,840 Speaker 1: seen a clip go as viral of any comedy thing 426 00:24:26,960 --> 00:24:30,760 Speaker 1: I think in my life as him doing beautiful Dogs 427 00:24:30,840 --> 00:24:34,160 Speaker 1: and talking about you know, the raid on back Daddy. 428 00:24:34,400 --> 00:24:37,320 Speaker 1: He cried. I said, don't cry about like that whole thing. 429 00:24:38,000 --> 00:24:42,000 Speaker 1: That was incredible. Trump has brought this whole component to 430 00:24:42,040 --> 00:24:48,520 Speaker 1: American politics of the great entertainer mixed with the political leader, 431 00:24:48,560 --> 00:24:51,760 Speaker 1: which I mean Reagan back in the day. Funny, but 432 00:24:51,920 --> 00:24:55,680 Speaker 1: Reagan was always Reagan, like he wasn't a stand up guy. Also, 433 00:24:56,200 --> 00:25:00,520 Speaker 1: this is why I've always found the Trump as Hitler 434 00:25:00,600 --> 00:25:05,040 Speaker 1: attack line to be so patently absurd. And I was 435 00:25:05,080 --> 00:25:08,159 Speaker 1: kind of making a joke about it, but maybe I've 436 00:25:08,200 --> 00:25:11,159 Speaker 1: missed it. Maybe Lenny reef install in her Triumph of 437 00:25:11,200 --> 00:25:14,280 Speaker 1: the Will movie, like on the cutting room floor, was 438 00:25:14,359 --> 00:25:18,240 Speaker 1: Hitler just dominating with jokes. I don't think this is 439 00:25:18,280 --> 00:25:20,320 Speaker 1: a minor point you make. Can I think it's a 440 00:25:20,400 --> 00:25:23,639 Speaker 1: poor point. I think it's important because tyrants don't have 441 00:25:23,640 --> 00:25:26,120 Speaker 1: a sense of humor. Kuran did not have a sense 442 00:25:26,240 --> 00:25:28,280 Speaker 1: didn't Binlan did not have a sense of humor. Stalin 443 00:25:28,359 --> 00:25:30,040 Speaker 1: did not have a sense of humor. Hitler did not 444 00:25:30,080 --> 00:25:32,159 Speaker 1: have a sense of sense of pol pot, go down 445 00:25:32,200 --> 00:25:35,040 Speaker 1: the list. These people are not funny. I've read their biography, 446 00:25:35,200 --> 00:25:39,200 Speaker 1: so I'm actually being serious about reviewing their lives. They 447 00:25:39,320 --> 00:25:42,000 Speaker 1: do not have a sense of humor. They are not amusing. 448 00:25:42,640 --> 00:25:46,400 Speaker 1: Trump is hilarious. So someone just square that one for me. Yeah, 449 00:25:46,440 --> 00:25:48,760 Speaker 1: and it is important, and I'm using it in kind 450 00:25:48,800 --> 00:25:51,280 Speaker 1: of a funny way to talk about the Hitler comparison, 451 00:25:51,720 --> 00:25:54,679 Speaker 1: but it does go to what the person is like 452 00:25:55,160 --> 00:26:00,000 Speaker 1: when you are a totalitarian dictator. Any mockery of you 453 00:26:00,480 --> 00:26:03,560 Speaker 1: is seen as a threat to the republic. This is 454 00:26:03,600 --> 00:26:08,520 Speaker 1: why totalitarians typically grab comedians and throw them in prison, 455 00:26:08,960 --> 00:26:13,960 Speaker 1: because satire and mockery is an affront to them, because 456 00:26:14,040 --> 00:26:19,119 Speaker 1: it questions their tottal complete control of power. Trump actually 457 00:26:19,160 --> 00:26:21,960 Speaker 1: has a great sense of humor, and he's willing to 458 00:26:22,080 --> 00:26:24,320 Speaker 1: be the butt of a joke. I was watching a 459 00:26:24,359 --> 00:26:27,760 Speaker 1: clip of him recently when he before he was a 460 00:26:27,800 --> 00:26:33,200 Speaker 1: politician on SNL at playing a role against somebody else. 461 00:26:33,800 --> 00:26:36,639 Speaker 1: He's really got a great sense of humor, and I 462 00:26:36,680 --> 00:26:39,879 Speaker 1: think this is one of the reasons why as people 463 00:26:39,920 --> 00:26:42,040 Speaker 1: spend more time watching him, and this is why some 464 00:26:42,080 --> 00:26:44,119 Speaker 1: of you say, oh, this is a stupid Al Smith dinner. 465 00:26:44,119 --> 00:26:45,720 Speaker 1: I don't know what you care about this, Clay. I 466 00:26:45,760 --> 00:26:49,480 Speaker 1: think it's important if you've got a grandson or you've 467 00:26:49,520 --> 00:26:52,520 Speaker 1: got a granddaughter out there that's a young voter, have 468 00:26:52,720 --> 00:26:55,840 Speaker 1: them watch that twenty six minute clip with you of 469 00:26:55,880 --> 00:26:58,840 Speaker 1: Trump at the Al Smith dinner. I think it's very 470 00:26:58,880 --> 00:27:01,680 Speaker 1: hard to diss like him now if you want to 471 00:27:01,720 --> 00:27:04,080 Speaker 1: disagree with some of his policies. I think he's right 472 00:27:04,160 --> 00:27:06,640 Speaker 1: on policy. But most of the time they don't even 473 00:27:06,760 --> 00:27:10,000 Speaker 1: go after his policy anymore. Buck, They just attack him 474 00:27:10,040 --> 00:27:14,520 Speaker 1: on his persona and his personal peccadillos and all these things, 475 00:27:14,840 --> 00:27:19,160 Speaker 1: as opposed to focusing on he's actually a pretty decent 476 00:27:19,280 --> 00:27:21,280 Speaker 1: dude who has a sense of humor and just thinks 477 00:27:21,280 --> 00:27:24,080 Speaker 1: the country's on the wrong track. Well, I was getting 478 00:27:24,119 --> 00:27:26,919 Speaker 1: toward this in the in the Bill Maher overtime Clay. 479 00:27:27,440 --> 00:27:28,600 Speaker 1: I don't know if I mean, if you saw that 480 00:27:28,640 --> 00:27:29,920 Speaker 1: part of it, but I said, you know, Bill, you've 481 00:27:29,880 --> 00:27:31,480 Speaker 1: got a big bankroll. Let's put a bet on this. 482 00:27:31,800 --> 00:27:34,800 Speaker 1: Because the panel, the entire panel, the three of them 483 00:27:34,880 --> 00:27:39,159 Speaker 1: versus me, it was He's going to end the country. 484 00:27:39,200 --> 00:27:41,280 Speaker 1: And I just, in all honesty, looked I'm like, guys, 485 00:27:41,400 --> 00:27:44,960 Speaker 1: this is just it's childish, it's insane. He's not going 486 00:27:45,040 --> 00:27:49,080 Speaker 1: to end the country. He's not going to destroy America. 487 00:27:49,200 --> 00:27:50,399 Speaker 1: And I looked at Bill. I was like, you got 488 00:27:50,440 --> 00:27:52,040 Speaker 1: a big bankroll. Bill makes a lot of money for 489 00:27:52,080 --> 00:27:54,919 Speaker 1: that show. Can we place a big bet on this 490 00:27:55,000 --> 00:27:57,280 Speaker 1: and establish what is destroy the country? I mean, can 491 00:27:57,320 --> 00:28:00,280 Speaker 1: we all agree that if America has gone through four 492 00:28:00,400 --> 00:28:04,679 Speaker 1: years of a above average to excellent economy and a 493 00:28:04,760 --> 00:28:07,879 Speaker 1: much more secure border and no new wars and a 494 00:28:07,920 --> 00:28:10,760 Speaker 1: free and fair election in twenty eight, will you then 495 00:28:10,840 --> 00:28:13,600 Speaker 1: agree that Trump didn't destroy the country, Like, can you 496 00:28:13,680 --> 00:28:16,440 Speaker 1: stop with this nonsense? And I'll tell you I would 497 00:28:16,440 --> 00:28:18,199 Speaker 1: put a lot of money down on this one because 498 00:28:18,240 --> 00:28:20,520 Speaker 1: I think they wouldn't do it, because I think a 499 00:28:20,520 --> 00:28:23,280 Speaker 1: lot of them don't believe what they say. And Chuck 500 00:28:23,320 --> 00:28:27,359 Speaker 1: Schumer's sitting there kind of smiling something, gingling some buck 501 00:28:27,440 --> 00:28:30,720 Speaker 1: that was important. They he doesn't hate Trump. He knows 502 00:28:30,720 --> 00:28:33,680 Speaker 1: it's bs. The other thing is And I think your 503 00:28:33,680 --> 00:28:37,560 Speaker 1: point is so well made. This is why Democrats saw 504 00:28:37,640 --> 00:28:42,400 Speaker 1: COVID as their salvation. They don't want to admit it, 505 00:28:42,960 --> 00:28:46,960 Speaker 1: but they know that Trump would have wiped the floor 506 00:28:47,160 --> 00:28:51,360 Speaker 1: with Biden but for their ability to rig the election 507 00:28:51,520 --> 00:28:54,200 Speaker 1: with all the ballots and everything else. But more importantly 508 00:28:54,240 --> 00:28:57,400 Speaker 1: than even leave aside, that they terrified. This is why 509 00:28:57,440 --> 00:29:00,479 Speaker 1: I can't forgive them. They terrified a lot of people 510 00:29:00,760 --> 00:29:03,040 Speaker 1: that they were going to die, and they were going 511 00:29:03,120 --> 00:29:05,840 Speaker 1: to die because of the way Trump was responding to COVID. 512 00:29:06,160 --> 00:29:08,440 Speaker 1: And they put Biden in the basement and they said 513 00:29:08,480 --> 00:29:10,920 Speaker 1: he'll bring things back to normal. And the reality is 514 00:29:10,960 --> 00:29:13,600 Speaker 1: if COVID had hit in twenty one as opposed to 515 00:29:13,680 --> 00:29:17,040 Speaker 1: twenty which is why, frankly, the fact that it came 516 00:29:17,080 --> 00:29:19,440 Speaker 1: out of the Chinese lab when it did has always 517 00:29:19,480 --> 00:29:22,520 Speaker 1: been suspicious to me, but the fact that it hid 518 00:29:22,600 --> 00:29:26,200 Speaker 1: in twenty enabled them to attack Trump. It was like 519 00:29:26,240 --> 00:29:31,600 Speaker 1: this virus was the physical manifestation of the evil rot 520 00:29:31,640 --> 00:29:34,960 Speaker 1: that they believe Trump represented, and they leaned into it 521 00:29:35,000 --> 00:29:38,080 Speaker 1: to grab as much power as they could. And now 522 00:29:38,480 --> 00:29:41,240 Speaker 1: I think you're seeing what may well have happened. If 523 00:29:41,320 --> 00:29:45,080 Speaker 1: twenty twenty COVID hadn't occurred, Trump would have won, and 524 00:29:45,160 --> 00:29:48,160 Speaker 1: I think you would have won comfortably and Buck looking 525 00:29:48,160 --> 00:29:50,760 Speaker 1: at these trend lines, I gotta tell you, I went 526 00:29:50,800 --> 00:29:52,720 Speaker 1: to bed with a great smile on my face because 527 00:29:52,760 --> 00:29:55,080 Speaker 1: of those Trump jokes. I appreciate Cameron giving me credit 528 00:29:55,120 --> 00:29:57,400 Speaker 1: for them, but it wasn't me. But you know what, 529 00:29:58,320 --> 00:30:01,480 Speaker 1: I am so confident with y'all out there early voting. 530 00:30:01,680 --> 00:30:03,959 Speaker 1: We'll talk about some of these North Carolina numbers here 531 00:30:04,000 --> 00:30:06,280 Speaker 1: a little bit later in the show. There are great 532 00:30:06,320 --> 00:30:10,600 Speaker 1: signs of Arizona that Trump supporters, Republicans, patriots are getting 533 00:30:10,640 --> 00:30:14,920 Speaker 1: to the polls. Go, go, go, take some of your 534 00:30:14,960 --> 00:30:18,000 Speaker 1: calls here coming up in just a second. But also, 535 00:30:18,040 --> 00:30:21,520 Speaker 1: you know, last night was the Alsmith Dinner, Big Catholic dinner, 536 00:30:22,040 --> 00:30:25,680 Speaker 1: and one thing that as a Catholic who is pro 537 00:30:25,760 --> 00:30:29,640 Speaker 1: life is honestly always just a shock to me, even 538 00:30:29,680 --> 00:30:30,960 Speaker 1: though I know this has been the case for a 539 00:30:30,960 --> 00:30:34,040 Speaker 1: long time, is how many far left democrat Catholics there 540 00:30:34,080 --> 00:30:37,200 Speaker 1: are who don't want to stand for life and who 541 00:30:37,240 --> 00:30:40,160 Speaker 1: think that there's no reason to protect the lives of 542 00:30:40,200 --> 00:30:42,360 Speaker 1: the unborn and the womb because that's what their politics 543 00:30:42,360 --> 00:30:44,560 Speaker 1: tell them. The point here, in my friends, is that 544 00:30:44,640 --> 00:30:46,960 Speaker 1: day in and day out, lives are being lost. We're 545 00:30:47,000 --> 00:30:51,280 Speaker 1: waging the battle politically and ideologically to convince people of 546 00:30:51,320 --> 00:30:53,960 Speaker 1: supporting lives. But there are lives that can be saved 547 00:30:54,040 --> 00:30:57,280 Speaker 1: right now today, and that's where Preborn comes in. They're 548 00:30:57,320 --> 00:30:59,280 Speaker 1: not waiting for all the laws to change, they're not 549 00:30:59,320 --> 00:31:02,160 Speaker 1: waiting for peace, including a lot of Catholics fellow Catholics 550 00:31:02,160 --> 00:31:04,680 Speaker 1: to wake up. They want to save lives right now, 551 00:31:04,720 --> 00:31:07,880 Speaker 1: and they do it through this beautiful process of helping 552 00:31:08,120 --> 00:31:11,600 Speaker 1: moms who are having a crisis pregnancy. They're scared, they 553 00:31:11,640 --> 00:31:14,120 Speaker 1: don't have the resources, they don't have the family support. 554 00:31:14,440 --> 00:31:17,760 Speaker 1: They come into a preborn clinic, they get the ultrasound. 555 00:31:18,040 --> 00:31:20,600 Speaker 1: The ultrasound shows them you have a tiny little human 556 00:31:21,000 --> 00:31:24,200 Speaker 1: in your belly right now and then they say, look, 557 00:31:24,480 --> 00:31:26,640 Speaker 1: you want to have this baby, which we really hope 558 00:31:26,640 --> 00:31:28,880 Speaker 1: you do. We're gonna give you food, We're gonna give 559 00:31:28,880 --> 00:31:31,200 Speaker 1: you assistance, will give you job placement assistants, will give 560 00:31:31,240 --> 00:31:34,440 Speaker 1: you resources, whatever we can. They will help in every 561 00:31:34,480 --> 00:31:38,760 Speaker 1: way they can so that that baby has life. This 562 00:31:38,880 --> 00:31:41,720 Speaker 1: is what Preborn does every day. The ultrasound is critical 563 00:31:41,720 --> 00:31:44,520 Speaker 1: in this experience because it establishes that bond between mother 564 00:31:44,880 --> 00:31:47,280 Speaker 1: and child, so she really knows it's not a clump 565 00:31:47,320 --> 00:31:50,160 Speaker 1: of cells, it's not nothing, it's a little baby, it's 566 00:31:50,160 --> 00:31:53,720 Speaker 1: her future son or daughter. Each ultrasound costs Preborn just 567 00:31:53,760 --> 00:31:56,440 Speaker 1: twenty eight dollars. If you can donate that amount, or 568 00:31:56,440 --> 00:31:58,760 Speaker 1: even five times that amount, one hundred and forty dollars, 569 00:31:59,120 --> 00:32:03,160 Speaker 1: think about this. Contribute to saving the lives of a baby, 570 00:32:03,440 --> 00:32:07,840 Speaker 1: five babies, ten babies. Whatever you can donate, Please use 571 00:32:07,880 --> 00:32:11,680 Speaker 1: your cell phone dial pound two five zero and say baby. 572 00:32:11,960 --> 00:32:14,880 Speaker 1: That's from your cell phone. You just dial pound two 573 00:32:14,960 --> 00:32:18,360 Speaker 1: five zero and say baby. Or go online to preborn 574 00:32:18,440 --> 00:32:22,160 Speaker 1: dot com, slash buck, preborn dot com, slash b u 575 00:32:22,440 --> 00:32:25,760 Speaker 1: c K sponsored by Preborn, Speak. 576 00:32:25,520 --> 00:32:28,400 Speaker 4: Out with the guys on the Sunday Hang with Clay 577 00:32:28,400 --> 00:32:32,040 Speaker 4: and Buck podcast a new episode every Sunday. Find it 578 00:32:32,080 --> 00:32:35,000 Speaker 4: on the iHeart app or wherever you get your podcasts. 579 00:32:35,160 --> 00:32:38,960 Speaker 1: There's a little bit of hysteria that is growing in 580 00:32:39,000 --> 00:32:42,960 Speaker 1: the media ranks. We'll get into why this is. We 581 00:32:43,440 --> 00:32:45,760 Speaker 1: have new numbers coming in. Clay's gonna break down latest 582 00:32:45,800 --> 00:32:48,920 Speaker 1: numbers Nate Silver. I mean, yeah, the guy's famous for 583 00:32:49,240 --> 00:32:53,280 Speaker 1: number crunching. But also it's clearly not a not a 584 00:32:53,360 --> 00:32:56,080 Speaker 1: Republican or it's not like this is some close friend 585 00:32:56,080 --> 00:32:59,479 Speaker 1: of Trump's that's telling you to poll or that he's 586 00:32:59,520 --> 00:33:02,320 Speaker 1: got pulled data for you. I think that he's trying 587 00:33:02,320 --> 00:33:04,320 Speaker 1: to make a name for himself or continue to build 588 00:33:04,400 --> 00:33:08,200 Speaker 1: his brand on being accurate, and the latest numbers from 589 00:33:08,280 --> 00:33:11,719 Speaker 1: him are very friendly for Trump. We've also got our 590 00:33:11,720 --> 00:33:14,720 Speaker 1: friend Ryan Gerdusky out there on CNN. You'll love to 591 00:33:14,760 --> 00:33:20,080 Speaker 1: see it, just spewing truth, spitting facts, laying down the 592 00:33:20,160 --> 00:33:23,200 Speaker 1: law however you want to say it over there. And 593 00:33:24,120 --> 00:33:28,320 Speaker 1: this is going at what the Jewish community is going 594 00:33:28,320 --> 00:33:31,240 Speaker 1: to take from this election, the Muslim community in the 595 00:33:31,320 --> 00:33:35,880 Speaker 1: Democrat Party. This has cut thirty Ryan Gardusky with more 596 00:33:36,000 --> 00:33:38,200 Speaker 1: adding to his greatest hits here. 597 00:33:38,240 --> 00:33:41,600 Speaker 8: It is because of our immigration system Muslims will outnumber 598 00:33:41,680 --> 00:33:43,520 Speaker 8: Choose in this country in a very short period of 599 00:33:43,600 --> 00:33:47,720 Speaker 8: time overall, and if Kamala Harris loses in a big 600 00:33:47,760 --> 00:33:50,560 Speaker 8: part because the Muslims voted against her in Michigan, you 601 00:33:50,640 --> 00:33:53,400 Speaker 8: will probably have a much different Democratic Party going into 602 00:33:53,440 --> 00:33:56,240 Speaker 8: twenty twenty eight and forward on the issue of Israel. 603 00:33:56,360 --> 00:33:58,600 Speaker 8: They will not be so try to be two sided, 604 00:33:58,640 --> 00:34:01,400 Speaker 8: I think, going and realizing how votes and demographics are 605 00:34:01,440 --> 00:34:01,960 Speaker 8: changing over. 606 00:34:02,200 --> 00:34:04,360 Speaker 9: The Jewish community supposed to hear what you just said, 607 00:34:04,440 --> 00:34:06,480 Speaker 9: because that if I was in the Jewish I'm not 608 00:34:06,480 --> 00:34:08,319 Speaker 9: in the Jewish community. But I'm wondering, how are they 609 00:34:08,320 --> 00:34:11,000 Speaker 9: supposed to hear what you're saying and not feel like 610 00:34:11,040 --> 00:34:12,319 Speaker 9: someone needs to protect them. 611 00:34:12,640 --> 00:34:13,319 Speaker 8: But that's the truth. 612 00:34:13,400 --> 00:34:13,640 Speaker 6: I thought. 613 00:34:13,680 --> 00:34:16,719 Speaker 8: That's how that's my opinion of how demographics are altering 614 00:34:17,000 --> 00:34:18,880 Speaker 8: geopolitical politics in our country. 615 00:34:19,000 --> 00:34:20,400 Speaker 1: It's a simple thing of numbers. 616 00:34:20,600 --> 00:34:24,680 Speaker 8: When such large voting blocks live in certain areas, we 617 00:34:24,800 --> 00:34:27,560 Speaker 8: just have different politics. Certainly, our politics in New York 618 00:34:28,200 --> 00:34:30,840 Speaker 8: around Jewish voters is much different than like Texas. It 619 00:34:30,920 --> 00:34:33,200 Speaker 8: doesn't always true, I mean, this is just the truth. 620 00:34:33,320 --> 00:34:36,200 Speaker 8: We have an immigration system that brings in lots of Muslims. 621 00:34:36,239 --> 00:34:38,840 Speaker 8: They increase their population every year. They will outsize the 622 00:34:38,880 --> 00:34:41,120 Speaker 8: Jewish population a very New York time. They live in 623 00:34:41,280 --> 00:34:44,120 Speaker 8: very important swing states, and eventually the Democratic Party will 624 00:34:44,120 --> 00:34:45,400 Speaker 8: sit there and make a choice. Do I sit there 625 00:34:45,440 --> 00:34:47,879 Speaker 8: and vote for with Jews or Muslims, and it will 626 00:34:47,960 --> 00:34:50,600 Speaker 8: just be a it will be a geopolitical and political 627 00:34:50,600 --> 00:34:51,160 Speaker 8: period issues. 628 00:34:52,320 --> 00:34:55,680 Speaker 1: I think he's totally correct here. I think this is 629 00:34:55,920 --> 00:34:58,680 Speaker 1: but think of the ramifications of us everybody for a second. 630 00:34:59,200 --> 00:35:01,600 Speaker 1: Ryan's laying out what the future looks like for a 631 00:35:01,600 --> 00:35:09,000 Speaker 1: Democrat Party given that the Muslim community in Michigan has 632 00:35:09,200 --> 00:35:11,160 Speaker 1: made it pretty clear. I mean, you could do interviews 633 00:35:11,160 --> 00:35:14,520 Speaker 1: New York Times reporting on this that because of US 634 00:35:14,680 --> 00:35:20,160 Speaker 1: support for Israel, the Muslim community of Michigan and other 635 00:35:20,200 --> 00:35:22,120 Speaker 1: places in the country, Michigan is just the one that 636 00:35:22,280 --> 00:35:25,840 Speaker 1: is both concentrated with a large number of Muslim Americans 637 00:35:25,880 --> 00:35:28,920 Speaker 1: and also a swing state that people really care about. 638 00:35:28,960 --> 00:35:32,799 Speaker 1: So that's why it's getting so much focus. They've essentially said, 639 00:35:33,480 --> 00:35:36,759 Speaker 1: you know, you either back off of this ISRAELI of 640 00:35:36,760 --> 00:35:39,560 Speaker 1: the support for Israel and the Jewish people, or else. 641 00:35:40,160 --> 00:35:42,480 Speaker 1: And I think after this election, Claiy, it'll be interesting 642 00:35:42,520 --> 00:35:46,000 Speaker 1: to see what the Democrat Party does in response to 643 00:35:46,040 --> 00:35:48,279 Speaker 1: the or else, because we are taking into Ryan's point 644 00:35:48,360 --> 00:35:52,920 Speaker 1: demographic reality, far more Muslims through immigration than we are Jews. 645 00:35:54,480 --> 00:35:57,200 Speaker 1: This is so important what Ryan hit on, and this 646 00:35:57,280 --> 00:35:59,480 Speaker 1: is what I would say is basically the thesis of 647 00:35:59,520 --> 00:36:02,399 Speaker 1: American Playbook, my most recent book, which you can get 648 00:36:02,400 --> 00:36:04,279 Speaker 1: a sign copy of if you go sign up for 649 00:36:04,320 --> 00:36:08,120 Speaker 1: the fabulous Crocket Coffee at Crocketcoffee dot com. I think 650 00:36:08,200 --> 00:36:12,560 Speaker 1: identity politics is the root cancer of the Democrat Party 651 00:36:12,640 --> 00:36:16,560 Speaker 1: that must be destroyed because in the process of embracing it, 652 00:36:17,120 --> 00:36:20,840 Speaker 1: Democrats have tried to destroy America. And this is basically 653 00:36:20,840 --> 00:36:25,000 Speaker 1: the thesis of my entire book, and what Ryan's laying 654 00:36:25,040 --> 00:36:30,520 Speaker 1: out is true what Democrats basically ran on post Obama. 655 00:36:31,400 --> 00:36:36,240 Speaker 1: Post Obama, Hillary Clinton embraced this idea and it came 656 00:36:36,280 --> 00:36:39,080 Speaker 1: to life and flourished in I would say the second 657 00:36:39,160 --> 00:36:43,040 Speaker 1: term of Obama is white men are evil. And many 658 00:36:43,120 --> 00:36:46,000 Speaker 1: of you out there understand this, and I would say 659 00:36:46,040 --> 00:36:49,320 Speaker 1: it really crystallized for a lot of people buck during 660 00:36:49,320 --> 00:36:52,799 Speaker 1: the Brett Kavanaugh and the me two hearings when they 661 00:36:52,840 --> 00:36:56,960 Speaker 1: basically decided left in this country did white men are evil? 662 00:36:57,000 --> 00:36:59,520 Speaker 1: And you can say that's not true. There are still 663 00:36:59,560 --> 00:37:02,879 Speaker 1: white men that vote for Kamala Harris and voted for 664 00:37:03,480 --> 00:37:07,200 Speaker 1: Joe Biden and Joe Biden's white Yeah, but those white men, 665 00:37:07,760 --> 00:37:11,280 Speaker 1: to a large extent, would sign on with the idea 666 00:37:11,520 --> 00:37:13,759 Speaker 1: of white men or evil, which is one of the 667 00:37:13,800 --> 00:37:17,120 Speaker 1: craziest things we've ever seen. That is, the number of 668 00:37:17,160 --> 00:37:22,240 Speaker 1: white people who actually hate white people is not insubstantial. 669 00:37:22,360 --> 00:37:26,239 Speaker 1: They think it gives them greater cultural standing to say 670 00:37:26,280 --> 00:37:30,200 Speaker 1: things like white people are evil, white men in particular 671 00:37:30,320 --> 00:37:32,440 Speaker 1: or evil. I mean, it's just kind of a cardinal 672 00:37:32,520 --> 00:37:36,120 Speaker 1: faith of the Democrat Party. The problem they have buck 673 00:37:36,239 --> 00:37:39,319 Speaker 1: is that hasn't It wasn't enough like Trump is the 674 00:37:39,400 --> 00:37:42,880 Speaker 1: old white guy, he's particularly evil, He's the great Satan, 675 00:37:43,040 --> 00:37:46,680 Speaker 1: He's their villain. He's the boogeyman underneath their bed. He's Hitler. 676 00:37:46,840 --> 00:37:47,040 Speaker 7: Right. 677 00:37:47,760 --> 00:37:52,560 Speaker 1: The problem is they didn't stop there. They moved further 678 00:37:52,719 --> 00:37:58,560 Speaker 1: and further into men are evil, black men, Hispanic men, 679 00:37:58,920 --> 00:38:02,919 Speaker 1: Asian men, white men. They weren't content to just make 680 00:38:03,000 --> 00:38:07,520 Speaker 1: white men the cause of all of society's problems. And 681 00:38:07,640 --> 00:38:10,720 Speaker 1: as a result, now they're looking around saying, wait a minute, 682 00:38:11,280 --> 00:38:16,000 Speaker 1: why are we hemorrhaging so much minority male support. Why 683 00:38:16,080 --> 00:38:19,480 Speaker 1: is Trump surging with Hispanic men and Black men and 684 00:38:19,600 --> 00:38:23,960 Speaker 1: Asian men historically, and white men at levels that we've 685 00:38:23,960 --> 00:38:26,479 Speaker 1: never seen before. Buck, We talked about the Al Smith dinner, 686 00:38:26,520 --> 00:38:28,440 Speaker 1: but did you see what Trump did before he went 687 00:38:28,480 --> 00:38:31,680 Speaker 1: to the Al Smith dinner. He walked into a Bronx 688 00:38:31,800 --> 00:38:36,160 Speaker 1: barber shop and absolutely killed it with all the guys 689 00:38:36,320 --> 00:38:39,960 Speaker 1: in that barbershop. Do you know why I saw a 690 00:38:40,040 --> 00:38:43,440 Speaker 1: left winger making fun of Trump because he went on 691 00:38:43,480 --> 00:38:47,720 Speaker 1: a barstool podcast and he was kicking back and talking 692 00:38:47,719 --> 00:38:50,719 Speaker 1: about Lou Garrig and Wally Pip, and they were like, 693 00:38:50,800 --> 00:38:54,000 Speaker 1: this is really gonna connect with young voters. Look at 694 00:38:54,040 --> 00:38:56,759 Speaker 1: him talk about every sports fan knows the story of 695 00:38:56,840 --> 00:39:00,360 Speaker 1: Lou Garrig replacing Wally Pip. It's one of the foundational 696 00:39:00,480 --> 00:39:04,400 Speaker 1: sports stories out there in baseball. But about what happens 697 00:39:04,400 --> 00:39:06,839 Speaker 1: when you lose your starting job you may never get 698 00:39:06,880 --> 00:39:10,240 Speaker 1: it back. All of these things that Trump is able 699 00:39:10,280 --> 00:39:14,520 Speaker 1: to connect with. It's not just that there isn't a response, Buck, 700 00:39:15,000 --> 00:39:18,560 Speaker 1: It's that the left in this country is so divorced 701 00:39:18,600 --> 00:39:22,200 Speaker 1: from what actual men are like now that they don't 702 00:39:22,280 --> 00:39:26,040 Speaker 1: have a common conversation that that men for kamala Ad 703 00:39:26,080 --> 00:39:29,000 Speaker 1: that they did which we made fun of. They don't 704 00:39:29,040 --> 00:39:31,239 Speaker 1: even know how I mean this is. This is kind 705 00:39:31,239 --> 00:39:33,880 Speaker 1: of funny, but it's also sad. They don't even know 706 00:39:34,040 --> 00:39:38,359 Speaker 1: how to make videos that men think are funny and 707 00:39:38,520 --> 00:39:42,200 Speaker 1: be able to engage in a cultural conversation because they're 708 00:39:42,239 --> 00:39:45,759 Speaker 1: so divorced from masculinity. Did we have a talk on 709 00:39:45,800 --> 00:39:47,960 Speaker 1: the show about the forty year old Virgin movie and 710 00:39:48,000 --> 00:39:49,759 Speaker 1: how and how it reminded us of this? I don't 711 00:39:49,800 --> 00:39:52,240 Speaker 1: know if I think I think we made that announced, 712 00:39:52,239 --> 00:39:54,719 Speaker 1: so I'm not just just by way of review, it 713 00:39:54,800 --> 00:39:57,600 Speaker 1: is a it is not family friendly, but the four 714 00:39:57,680 --> 00:39:59,080 Speaker 1: year old virgions are pretty fun. I think it's a 715 00:39:59,080 --> 00:40:02,920 Speaker 1: pretty funny movie. Just starry, raunchy. It's a funny movie. Uh, 716 00:40:03,160 --> 00:40:06,080 Speaker 1: and you know Steve, it's probably Steve Carell, Steve Carrell 717 00:40:06,120 --> 00:40:08,920 Speaker 1: at his best, including with The Office, which came I 718 00:40:08,920 --> 00:40:11,680 Speaker 1: think right after that. But there's a scene where all 719 00:40:11,719 --> 00:40:14,760 Speaker 1: these guys are sitting around and they're talking about women 720 00:40:15,000 --> 00:40:18,560 Speaker 1: as guys do. Okay, it's a comedy, and you know, 721 00:40:18,600 --> 00:40:21,760 Speaker 1: some guys, not Clarig Buck, but other guys sit around 722 00:40:21,760 --> 00:40:24,440 Speaker 1: and talk about yeah, like she's hot and yeah whatever. 723 00:40:24,800 --> 00:40:26,400 Speaker 1: And there's a point where they get to Steve Carell 724 00:40:26,680 --> 00:40:29,240 Speaker 1: and he's like yeah, He's like, I touched your boobs 725 00:40:29,239 --> 00:40:34,000 Speaker 1: and they were like bags of sand and everybody looks 726 00:40:34,040 --> 00:40:37,960 Speaker 1: at him like what this guy the exact scene, that's 727 00:40:38,000 --> 00:40:41,279 Speaker 1: how Democrats talk about men. Yes, I mean, but that 728 00:40:41,440 --> 00:40:42,840 Speaker 1: was the scene of the movie where all of his 729 00:40:42,880 --> 00:40:45,160 Speaker 1: guy friends realize he's actually like a virgin and it 730 00:40:45,239 --> 00:40:48,840 Speaker 1: has no understanding of women. The commercial they ran to 731 00:40:48,920 --> 00:40:52,760 Speaker 1: be more masculine was there. It was like a bags 732 00:40:52,760 --> 00:40:56,120 Speaker 1: of sand moment for the for the Kamala campaign. It 733 00:40:56,239 --> 00:40:59,400 Speaker 1: made no sense. They had some guy who does not 734 00:40:59,520 --> 00:41:02,200 Speaker 1: look like he spends a lot of time moving or outdoors, 735 00:41:02,239 --> 00:41:06,120 Speaker 1: who's like, I eat carburetors for breakfast. Yes, nobody who 736 00:41:06,160 --> 00:41:08,200 Speaker 1: has ever worked with a carburetor or open the hood 737 00:41:08,200 --> 00:41:10,040 Speaker 1: of a car would say that that is a poserve. 738 00:41:10,239 --> 00:41:12,839 Speaker 1: That is what some guy who has spent too much 739 00:41:12,840 --> 00:41:15,000 Speaker 1: time indoors and you know, I know what that's like. 740 00:41:15,560 --> 00:41:17,560 Speaker 1: Uh and hasn't been able to get some fresh air 741 00:41:17,600 --> 00:41:21,040 Speaker 1: in a while, thinks like manly men would say. But 742 00:41:21,080 --> 00:41:24,439 Speaker 1: the instead of accepting that there's a problem here, Clay 743 00:41:25,080 --> 00:41:29,520 Speaker 1: uh and and going after this disconnect. Really the plan 744 00:41:29,719 --> 00:41:31,279 Speaker 1: is and I think this is part of the over 745 00:41:31,360 --> 00:41:35,560 Speaker 1: feminization of the Democrat Party. It is to hector and 746 00:41:35,920 --> 00:41:40,600 Speaker 1: and whine and uh and browbeat the other side, say, 747 00:41:40,680 --> 00:41:43,800 Speaker 1: how dare you think that Democrats have a masculinity problem? 748 00:41:44,280 --> 00:41:48,680 Speaker 1: They does, everyone knows it, and it's because they've pandered. 749 00:41:49,000 --> 00:41:51,920 Speaker 1: And that the point we're making about the Muslim community. 750 00:41:52,480 --> 00:41:56,160 Speaker 1: That's an issue of pandering now right, they're they're losing 751 00:41:56,320 --> 00:41:59,560 Speaker 1: perhaps Jewish votes, and they may lose this election because 752 00:41:59,560 --> 00:42:02,880 Speaker 1: they wouldn't choose Joshapiro because they've pandered to the Muslim 753 00:42:02,920 --> 00:42:05,439 Speaker 1: American community. That is, Look, we've got Muslim Americans listening 754 00:42:05,440 --> 00:42:07,000 Speaker 1: to us, not all of them, you know, we're not 755 00:42:07,000 --> 00:42:08,839 Speaker 1: talking about everybody when it comes to Israel and their 756 00:42:08,920 --> 00:42:11,120 Speaker 1: views of Jews and their views of their fellow Americans, 757 00:42:11,120 --> 00:42:14,960 Speaker 1: but there is a contingent that is anti Semitic. I 758 00:42:15,000 --> 00:42:17,000 Speaker 1: also think this ties in with what we were saying 759 00:42:17,000 --> 00:42:19,759 Speaker 1: about the Al Smith Trump jokes. You're mentioned of the 760 00:42:19,840 --> 00:42:22,680 Speaker 1: forty year old virgin I remember having this conversation with 761 00:42:22,800 --> 00:42:25,319 Speaker 1: Jeremy Boring when we were making and I had a 762 00:42:25,360 --> 00:42:28,920 Speaker 1: small part in it. But lady Ballers, which basically is 763 00:42:28,960 --> 00:42:31,440 Speaker 1: mocking the idea that men pretend to be women and 764 00:42:31,480 --> 00:42:34,759 Speaker 1: become women's basketball champions, which, by the way, isn't very 765 00:42:34,760 --> 00:42:40,240 Speaker 1: far from becoming reality in Democrat circles. But comedy basically 766 00:42:40,280 --> 00:42:46,560 Speaker 1: died about two thy twelve or thirteen. Really funny movies 767 00:42:47,040 --> 00:42:50,440 Speaker 1: stop being made in Hollywood. Why did that happen? I 768 00:42:50,440 --> 00:42:52,360 Speaker 1: think it ties in with what you're saying, Buck, and 769 00:42:52,400 --> 00:42:55,320 Speaker 1: why I was ridiculing the idea of Trump as Hitler. 770 00:42:56,080 --> 00:43:00,640 Speaker 1: When you are an absolutist, when you are total in 771 00:43:00,760 --> 00:43:05,440 Speaker 1: your belief in the legitimacy of your side, you lose 772 00:43:05,520 --> 00:43:09,680 Speaker 1: the ability to see nuance. And comedy is a function 773 00:43:10,080 --> 00:43:14,760 Speaker 1: of nuance and being self reflective in a comedic way. 774 00:43:15,000 --> 00:43:18,239 Speaker 1: And I would say in general it's hard for comedians 775 00:43:18,280 --> 00:43:21,319 Speaker 1: to be evil. There are lots of dudes who aren't good, 776 00:43:21,800 --> 00:43:25,360 Speaker 1: but in terms of pure evil, you can't be funny 777 00:43:25,400 --> 00:43:28,400 Speaker 1: if you are committed totally to any one ideology. I 778 00:43:28,400 --> 00:43:31,960 Speaker 1: don't think it's possible. Well, yes, there's an inherent humility 779 00:43:31,960 --> 00:43:34,400 Speaker 1: and self reflection, as you were saying, that's required to 780 00:43:34,480 --> 00:43:37,400 Speaker 1: be funny, right, And that's why when actually people write 781 00:43:37,400 --> 00:43:39,080 Speaker 1: in and make fun of you or make fun of me, 782 00:43:39,400 --> 00:43:44,000 Speaker 1: we both find it funny because you know, you gotta 783 00:43:44,040 --> 00:43:45,520 Speaker 1: be able to laugh at yourself, and you gotta be 784 00:43:45,560 --> 00:43:47,480 Speaker 1: able to laugh at life, or else you're gonna be 785 00:43:47,480 --> 00:43:51,200 Speaker 1: taking everything too seriously. And I do I appreciate funny 786 00:43:51,239 --> 00:43:53,120 Speaker 1: jokes at our expense. They have to be funny, though, right, 787 00:43:53,160 --> 00:43:55,319 Speaker 1: That's always the thing. If it's just mean, then you're 788 00:43:55,320 --> 00:44:00,560 Speaker 1: just being mean. But the explosion you mentioned Clay when died, 789 00:44:00,600 --> 00:44:03,840 Speaker 1: the explosion in the usage of the term racism and 790 00:44:03,960 --> 00:44:06,719 Speaker 1: racist and then after that white nationalist to take it 791 00:44:06,800 --> 00:44:08,400 Speaker 1: up to a sort of a whole other level. And 792 00:44:08,440 --> 00:44:13,160 Speaker 1: you know neo Nazi that occurred in two thousand and twelve, 793 00:44:13,680 --> 00:44:17,680 Speaker 1: roughly right when Barack Obama's up for reelection. You can 794 00:44:17,719 --> 00:44:20,439 Speaker 1: see on a chart they've done this on a whole 795 00:44:20,440 --> 00:44:24,760 Speaker 1: bunch of analyzes, Washington Post, New York Times, Los Angeles Times, 796 00:44:24,920 --> 00:44:28,480 Speaker 1: but particularly the Washington Post and well the New York 797 00:44:28,520 --> 00:44:31,319 Speaker 1: Times too. All of a sudden, Barack Obama's up for 798 00:44:31,360 --> 00:44:35,480 Speaker 1: reelection and they just flood the zone with everybody who 799 00:44:35,480 --> 00:44:38,600 Speaker 1: doesn't like Obama's racist. And what they realized, I think 800 00:44:38,640 --> 00:44:43,399 Speaker 1: in these media outlets is not only is that unfortunately 801 00:44:43,719 --> 00:44:48,160 Speaker 1: it was effective politics, it's also clickbait. It also gets 802 00:44:48,160 --> 00:44:51,080 Speaker 1: a lot of attention from because people want to believe 803 00:44:51,080 --> 00:44:55,280 Speaker 1: that the other side is evil, particularly Democrats. I actually 804 00:44:55,280 --> 00:44:57,000 Speaker 1: don't want to believe the Democrats are evil. I want 805 00:44:57,000 --> 00:44:58,600 Speaker 1: to believe it. They're wrong on some things, but they're 806 00:44:58,600 --> 00:45:01,000 Speaker 1: acting like lunatics for a while now. But you know 807 00:45:01,040 --> 00:45:04,880 Speaker 1: what I mean. It became a business and political decision 808 00:45:05,200 --> 00:45:08,400 Speaker 1: to convince half the country that everybody who doesn't agree 809 00:45:08,400 --> 00:45:11,040 Speaker 1: with Obama and the Democrat Party is racist. And we're 810 00:45:11,080 --> 00:45:13,719 Speaker 1: still living with those after effects. And this coincided, by 811 00:45:13,719 --> 00:45:16,520 Speaker 1: the way, with can't make jokes anymore either, No jokes allowed, 812 00:45:17,280 --> 00:45:21,439 Speaker 1: No totally. And here's the deal. If you're worried about 813 00:45:21,480 --> 00:45:23,799 Speaker 1: who a joke is gonna upset, it's hard to be 814 00:45:23,840 --> 00:45:27,520 Speaker 1: funny and when you have to, and basically that would 815 00:45:27,520 --> 00:45:31,439 Speaker 1: happen to SNL right. SNL finally has circled its way 816 00:45:31,440 --> 00:45:35,880 Speaker 1: back to suddenly recognizing that Biden has dementia and that 817 00:45:36,000 --> 00:45:39,240 Speaker 1: Kamala Harris has no substance behind her, and they're starting 818 00:45:39,239 --> 00:45:43,520 Speaker 1: to now ridicule even handedly again. But they lost their 819 00:45:43,560 --> 00:45:47,600 Speaker 1: way to such an extent that they politics humor that 820 00:45:47,719 --> 00:45:51,680 Speaker 1: only ridicules one side is propaganda. It is not actual 821 00:45:51,880 --> 00:45:55,400 Speaker 1: comedy and they finally, it feels like to me have 822 00:45:55,520 --> 00:45:57,960 Speaker 1: worked their way back. But when you had all these 823 00:45:57,960 --> 00:46:01,359 Speaker 1: comics getting canceled, there was a paupa fear. And if 824 00:46:01,360 --> 00:46:03,319 Speaker 1: you talk to comics, you have to be able to 825 00:46:03,360 --> 00:46:06,440 Speaker 1: walk on the stage and say anything. The idea that 826 00:46:06,480 --> 00:46:10,000 Speaker 1: one joke could end your career is the antithesis of 827 00:46:11,000 --> 00:46:13,200 Speaker 1: all comedy because you don't know buck, you don't know 828 00:46:13,239 --> 00:46:15,160 Speaker 1: what the response is going to be. You're working it out. 829 00:46:15,200 --> 00:46:18,560 Speaker 1: It's like a laboratory. And that's why comedians, so many 830 00:46:18,640 --> 00:46:20,560 Speaker 1: of them started saying, you can't even bring cell phones 831 00:46:20,600 --> 00:46:23,480 Speaker 1: into the comedy club because they were afraid that somebody 832 00:46:23,640 --> 00:46:25,600 Speaker 1: was going to take a clip of a joke that 833 00:46:25,640 --> 00:46:28,800 Speaker 1: they're working out workshopping style, and the next thing you know, 834 00:46:28,840 --> 00:46:30,719 Speaker 1: they're not going to be able to work anymore. I 835 00:46:30,760 --> 00:46:33,680 Speaker 1: think we're working our way through it. And this is 836 00:46:33,680 --> 00:46:35,560 Speaker 1: why I argued in my book, and I've argued on 837 00:46:35,560 --> 00:46:37,880 Speaker 1: this show for a long time, Republicans should be the 838 00:46:37,880 --> 00:46:40,120 Speaker 1: party that likes to laugh. We should be the party 839 00:46:40,160 --> 00:46:43,480 Speaker 1: of humor. Humor is good, even if sometimes you're the 840 00:46:43,480 --> 00:46:45,040 Speaker 1: butt of the joke. I got a couple of emails 841 00:46:45,040 --> 00:46:47,000 Speaker 1: that I'll read to you. They aren't happy with me. 842 00:46:47,400 --> 00:46:52,080 Speaker 1: But that's okay. That's how we that's how we grow. Yeah. 843 00:46:52,160 --> 00:46:55,279 Speaker 1: I mean, look, Kamala Harris is hilarious. She just isn't 844 00:46:55,320 --> 00:46:58,120 Speaker 1: trying to be. So that's a different that's a different thing. 845 00:46:58,280 --> 00:47:01,680 Speaker 1: The Kamala campaign is full of humor, just not intentionally. 846 00:47:02,680 --> 00:47:04,839 Speaker 1: I want to speak to my fellow gun owners out there. 847 00:47:04,880 --> 00:47:06,880 Speaker 1: I'm going to the range tomorrow. It's gonna be perfect 848 00:47:06,920 --> 00:47:09,680 Speaker 1: weather here in Florida, looking forward to it, and I'm 849 00:47:09,719 --> 00:47:12,000 Speaker 1: gonna be out there for probably four or five hours 850 00:47:12,040 --> 00:47:15,399 Speaker 1: trying out all the latest that I've got. But I'm 851 00:47:15,440 --> 00:47:18,360 Speaker 1: in good shape for it because of the Mantis X system. 852 00:47:18,440 --> 00:47:20,520 Speaker 1: This is a dry fire training tool. I've got it 853 00:47:20,560 --> 00:47:22,480 Speaker 1: here at home. You set up, you make sure you're 854 00:47:22,480 --> 00:47:25,080 Speaker 1: in a safe place, you make sure you clear and 855 00:47:25,120 --> 00:47:28,000 Speaker 1: safe your weapon, and you use the Mantis X just 856 00:47:28,000 --> 00:47:29,840 Speaker 1: like a weapon like you attach it to your weapon 857 00:47:30,280 --> 00:47:32,960 Speaker 1: and then you can do dry fire practice. It helps 858 00:47:32,960 --> 00:47:35,799 Speaker 1: so much on your trigger pull, the basic mechanics, which 859 00:47:35,840 --> 00:47:38,200 Speaker 1: I'm very much still working on right I'm an enthusiast. 860 00:47:38,280 --> 00:47:41,080 Speaker 1: I'm not some former Seal Team six guy or something, 861 00:47:41,120 --> 00:47:43,520 Speaker 1: so I'm trying to get better all the time and 862 00:47:43,680 --> 00:47:45,960 Speaker 1: I need to learn a lot, and the mantis X 863 00:47:46,080 --> 00:47:48,920 Speaker 1: gives me an at home training tool, really a tutor 864 00:47:49,280 --> 00:47:51,920 Speaker 1: for shooting technique. And so I'm just more accurate and 865 00:47:51,960 --> 00:47:54,840 Speaker 1: enjoy myself at the range more and I'm improving my skills. 866 00:47:55,160 --> 00:47:58,360 Speaker 1: The mantis X is military technology at an affordable price. 867 00:47:58,560 --> 00:48:00,680 Speaker 1: You'll be amazed at how quickly you prove your shooting 868 00:48:00,719 --> 00:48:03,480 Speaker 1: accuracy while saving a ton of money on Ammo. Get 869 00:48:03,520 --> 00:48:08,759 Speaker 1: yours at mantisx dot com. That's m A and tisx 870 00:48:08,960 --> 00:48:10,160 Speaker 1: dot com. 871 00:48:10,640 --> 00:48:15,640 Speaker 4: Stories are freedom stories of America, inspirational stories that you 872 00:48:15,760 --> 00:48:19,040 Speaker 4: unite us all each day. Spend time with Clay and 873 00:48:19,840 --> 00:48:23,160 Speaker 4: find them on the free iHeartRadio app or wherever you 874 00:48:23,280 --> 00:48:24,440 Speaker 4: get your podcasts. 875 00:48:25,480 --> 00:48:28,680 Speaker 1: Welcome back in Clay Travis bock Sexton Show. Appreciate you 876 00:48:28,719 --> 00:48:32,160 Speaker 1: spending missus Friday with us all across the country. A 877 00:48:32,200 --> 00:48:35,600 Speaker 1: lot of discussion. Last Friday, I was in Asheville, North Carolina. 878 00:48:36,000 --> 00:48:38,120 Speaker 1: We've been trying to draw as much attention as we 879 00:48:38,160 --> 00:48:40,920 Speaker 1: can to the struggles of so many people in western 880 00:48:40,920 --> 00:48:45,200 Speaker 1: North Carolina, and we are joined now as election voting 881 00:48:45,360 --> 00:48:51,239 Speaker 1: in North Carolina began yesterday, early voting underway. Michelle Woodhouse, 882 00:48:51,360 --> 00:48:55,760 Speaker 1: GOP chair of the eleventh District of North Carolina, Western 883 00:48:55,800 --> 00:48:59,960 Speaker 1: North Carolina near Cherokee. For those of you who are 884 00:49:00,080 --> 00:49:04,640 Speaker 1: familiar with the geography of western North Carolina, Michelle, we 885 00:49:04,680 --> 00:49:07,719 Speaker 1: appreciate the time. What can you tell us about how 886 00:49:07,760 --> 00:49:11,280 Speaker 1: people in western North Carolina are doing, first of all 887 00:49:11,440 --> 00:49:17,040 Speaker 1: in general, and second, how the Hurricane Helene impact is 888 00:49:17,120 --> 00:49:20,560 Speaker 1: going to influence voting in that region, two things that 889 00:49:20,600 --> 00:49:23,359 Speaker 1: many people listening to us right now care about quite 890 00:49:23,360 --> 00:49:23,680 Speaker 1: a lot. 891 00:49:24,719 --> 00:49:26,719 Speaker 10: Yes, and thank you so much for having me. Yes, 892 00:49:27,280 --> 00:49:31,000 Speaker 10: we're the far sixteen west counties where North Carolina begins, 893 00:49:31,040 --> 00:49:36,480 Speaker 10: we like to say, and from an overall standpoint, just 894 00:49:36,520 --> 00:49:41,560 Speaker 10: a few weeks post Hurricane Helene, biblical proportion devastation here 895 00:49:42,840 --> 00:49:45,000 Speaker 10: things that we've just never seen happen in the mountains 896 00:49:45,040 --> 00:49:50,600 Speaker 10: of western North Carolina. Before people are recovering their rebuilding. 897 00:49:51,160 --> 00:49:55,600 Speaker 10: Much to David Axelrod's dismay, the Hillbillies of Western North 898 00:49:55,640 --> 00:49:58,600 Speaker 10: Carolina built the roads the first time and we're back 899 00:49:58,640 --> 00:50:02,759 Speaker 10: at it rebuilding our community. It has been really a 900 00:50:02,800 --> 00:50:07,360 Speaker 10: tremendous example of what neighbor helping neighbor really looks like 901 00:50:07,520 --> 00:50:09,400 Speaker 10: here on the ground in western North Carolina. 902 00:50:10,480 --> 00:50:13,080 Speaker 1: So what can you tell us about anybody who has 903 00:50:13,719 --> 00:50:17,880 Speaker 1: concerns that it's just this is going to affect voting 904 00:50:17,960 --> 00:50:20,040 Speaker 1: right now. I mean, we've gotten so many people all 905 00:50:20,080 --> 00:50:22,920 Speaker 1: across the country. You know, the first few days or 906 00:50:22,960 --> 00:50:24,759 Speaker 1: the really first week after the hurricane, it was just 907 00:50:24,760 --> 00:50:27,919 Speaker 1: as everybody, Okay, let's get resources on the ground, let's 908 00:50:27,920 --> 00:50:30,759 Speaker 1: take care of that. But now we get emails every 909 00:50:30,800 --> 00:50:34,360 Speaker 1: day where there's this concern that there won't be the 910 00:50:34,400 --> 00:50:38,200 Speaker 1: infrastructure in place, there won't be what is necessary so 911 00:50:38,239 --> 00:50:42,120 Speaker 1: that everybody who lives in western North Carolina who's eligible 912 00:50:42,120 --> 00:50:43,879 Speaker 1: to vote can cast their vote. What can you tell 913 00:50:43,920 --> 00:50:45,840 Speaker 1: us about how that is coming along? 914 00:50:46,840 --> 00:50:50,400 Speaker 10: Absolutely? And you know it's the question on everyone's mind. 915 00:50:51,560 --> 00:50:53,759 Speaker 10: We know this is Trump country, with the exception of 916 00:50:53,760 --> 00:50:57,000 Speaker 10: the blue dot in Ashville. How are people who lost 917 00:50:57,120 --> 00:51:00,279 Speaker 10: everything is the election even in the fourth front of 918 00:51:00,320 --> 00:51:02,160 Speaker 10: their mind? And I can tell you and your listeners 919 00:51:02,800 --> 00:51:06,680 Speaker 10: really from the beginning, people could be knee deep in 920 00:51:06,800 --> 00:51:10,680 Speaker 10: mud literally or figuratively, have lost their homes, their cars. 921 00:51:11,160 --> 00:51:13,160 Speaker 10: The first thing they want to talk to me about 922 00:51:13,360 --> 00:51:15,160 Speaker 10: is how do I get to vote. I've got to 923 00:51:15,200 --> 00:51:19,120 Speaker 10: make sure to vote. They saw Kamala Harris and stand 924 00:51:19,160 --> 00:51:21,480 Speaker 10: there and tell people in western North Carolina who had 925 00:51:21,480 --> 00:51:25,080 Speaker 10: lost everything that they might get seven hundred and fifty 926 00:51:25,120 --> 00:51:28,160 Speaker 10: dollars while she's standing there wearing an eight hundred dollars belt. 927 00:51:28,280 --> 00:51:31,520 Speaker 10: They heard David Axelrod talk about the fact that the 928 00:51:31,600 --> 00:51:34,880 Speaker 10: liberal elites in Asheville would have a much easier time 929 00:51:36,080 --> 00:51:38,440 Speaker 10: getting to the polls than the rest of us, and 930 00:51:38,480 --> 00:51:42,480 Speaker 10: they took it seriously and they were deeply offended by it. 931 00:51:42,520 --> 00:51:45,880 Speaker 10: They were angry, motivated, inspired to get to the polls. 932 00:51:45,920 --> 00:51:48,600 Speaker 10: We had record setting numbers, not only in North Carolina. 933 00:51:48,640 --> 00:51:50,680 Speaker 10: I know you've been talking about that a lot on 934 00:51:50,760 --> 00:51:53,839 Speaker 10: the show today, but we had record setting numbers here 935 00:51:53,920 --> 00:51:58,480 Speaker 10: in the eleventh Congressional District area that was completely devastated 936 00:51:58,520 --> 00:52:01,120 Speaker 10: by this storm, the pits in the videos that so 937 00:52:01,200 --> 00:52:04,000 Speaker 10: many people have seen, that is right here in the 938 00:52:04,040 --> 00:52:08,600 Speaker 10: heart of this congressional district. We had sixty eight hundred 939 00:52:08,640 --> 00:52:12,600 Speaker 10: and sixty nine more people vote yesterday the first day 940 00:52:12,600 --> 00:52:15,360 Speaker 10: of early voting, than we did back in twenty sixteen. 941 00:52:16,040 --> 00:52:19,760 Speaker 10: And we are seeing every one of the sixteen counties 942 00:52:19,920 --> 00:52:24,360 Speaker 10: in this district set a record for first day early voting, 943 00:52:24,760 --> 00:52:28,879 Speaker 10: and today day two, the lines are as long, they're 944 00:52:28,920 --> 00:52:32,799 Speaker 10: exceeding numbers that we saw back in twenty sixteen, and 945 00:52:33,280 --> 00:52:37,319 Speaker 10: we are thrilled to see the motivation, the energy, and 946 00:52:37,440 --> 00:52:41,040 Speaker 10: enthusiasm translated into votes. We knew it would, but people 947 00:52:41,120 --> 00:52:44,960 Speaker 10: are doing whatever it takes to get out and make 948 00:52:45,000 --> 00:52:48,480 Speaker 10: their voices heard, waiting in line in some places for 949 00:52:48,600 --> 00:52:51,400 Speaker 10: up to two hours on the first day of early voting, 950 00:52:51,480 --> 00:52:53,480 Speaker 10: and again today to vote. 951 00:52:54,280 --> 00:52:59,239 Speaker 1: Michelle, you mentioned twenty sixteen numbers. I'm assuming Trump did 952 00:52:59,320 --> 00:53:03,000 Speaker 1: better into twenty sixteen than twenty twenty. You would know 953 00:53:03,040 --> 00:53:05,280 Speaker 1: the data better than me. I know he won North 954 00:53:05,320 --> 00:53:09,399 Speaker 1: Carolina both years, but I think sixteen was a more 955 00:53:09,480 --> 00:53:13,239 Speaker 1: comfortable win than twenty. So when you say you're exceeding 956 00:53:13,320 --> 00:53:17,560 Speaker 1: twenty sixteen numbers, that's exceeding the best numbers that Trump 957 00:53:17,640 --> 00:53:19,920 Speaker 1: would have ever done. Is that a fair way of 958 00:53:19,960 --> 00:53:22,480 Speaker 1: putting that so far? Based on what you're seeing in 959 00:53:22,520 --> 00:53:23,640 Speaker 1: western North Carolina. 960 00:53:24,800 --> 00:53:27,000 Speaker 10: Yeah, we're looking at those twenty sixteen numbers for a 961 00:53:27,040 --> 00:53:29,480 Speaker 10: couple reasons. He won North Carolina by a little over 962 00:53:29,560 --> 00:53:33,080 Speaker 10: three point since for our state that's a landslide, and 963 00:53:33,120 --> 00:53:37,360 Speaker 10: he won in twenty twenty by about one point three percent. 964 00:53:37,920 --> 00:53:40,520 Speaker 10: But you know, because of COVID and twenty twenty the 965 00:53:40,719 --> 00:53:44,640 Speaker 10: early voting numbers are difficult as a benchmark to measure 966 00:53:44,760 --> 00:53:47,279 Speaker 10: true trends, and so we really looked at sixteen to 967 00:53:47,320 --> 00:53:50,560 Speaker 10: your point, that was when Donald Trump had his highest 968 00:53:50,680 --> 00:53:55,080 Speaker 10: watermark in in North Carolina. And what we're seeing here 969 00:53:55,719 --> 00:54:00,400 Speaker 10: is that the energy and enthusiasm is so high. People 970 00:54:00,480 --> 00:54:03,440 Speaker 10: had to work really hard in western North Carolina to 971 00:54:03,480 --> 00:54:06,760 Speaker 10: get to the polls. Yesterday it was you know, roads 972 00:54:06,800 --> 00:54:11,600 Speaker 10: are closed and washed out, and communities are completely devastated 973 00:54:11,640 --> 00:54:15,479 Speaker 10: and people are trying to rebuild. But it didn't matter. 974 00:54:15,520 --> 00:54:17,840 Speaker 10: They were taking the time out of their day yesterday. 975 00:54:18,000 --> 00:54:21,040 Speaker 10: They're taking time out of their day today. We're seeing 976 00:54:21,080 --> 00:54:24,480 Speaker 10: people that truly they don't have a home or a car, 977 00:54:24,680 --> 00:54:27,799 Speaker 10: and they're getting to the polls to vote because they 978 00:54:27,880 --> 00:54:31,320 Speaker 10: know the future is very clear for them. If Kamala 979 00:54:31,320 --> 00:54:34,239 Speaker 10: Harris becomes president, we have three and a half more 980 00:54:34,320 --> 00:54:37,920 Speaker 10: years of devastation to our communities, and they know Donald 981 00:54:37,960 --> 00:54:40,640 Speaker 10: Trump is the right answer for the forgotten men and 982 00:54:40,680 --> 00:54:41,760 Speaker 10: women right here. 983 00:54:42,239 --> 00:54:45,160 Speaker 1: Michelle, do you think and this may sound counterintuitive, but 984 00:54:45,239 --> 00:54:49,520 Speaker 1: I'm curious, do you think the hurricane might actually be 985 00:54:49,640 --> 00:54:54,200 Speaker 1: driving up turnout because people like you said David Axelrod 986 00:54:54,280 --> 00:54:57,400 Speaker 1: talked down to them because they think the federal government 987 00:54:57,440 --> 00:55:01,000 Speaker 1: hasn't shown up for them, that it's even strengthened their 988 00:55:01,040 --> 00:55:03,880 Speaker 1: resolve to vote, more so than if the storm hadn't 989 00:55:03,880 --> 00:55:06,000 Speaker 1: even hit. Is that a crazy take or do you 990 00:55:06,200 --> 00:55:06,640 Speaker 1: since that? 991 00:55:07,880 --> 00:55:09,799 Speaker 10: I sense it. I really do, and I'll tell you 992 00:55:09,800 --> 00:55:13,760 Speaker 10: we were seeing it in action. I've seen multiple people 993 00:55:14,160 --> 00:55:17,640 Speaker 10: showing up at Republican Party offices since the storm hit, 994 00:55:18,160 --> 00:55:21,319 Speaker 10: registering to vote, voting for the first time. We were 995 00:55:21,400 --> 00:55:24,200 Speaker 10: evacuated from our neighborhood. Not a knock on the door 996 00:55:24,239 --> 00:55:26,480 Speaker 10: that anyone wants to get. We had a mud slide. 997 00:55:26,600 --> 00:55:30,360 Speaker 10: We were evacuated by the National Guard, and on Friday morning, 998 00:55:30,400 --> 00:55:34,120 Speaker 10: in the midst of this unbelievable storm, I'm disembarking off 999 00:55:34,160 --> 00:55:38,799 Speaker 10: of the National Guard truck. My neighbor, who isn't uber political, 1000 00:55:39,239 --> 00:55:42,200 Speaker 10: pats her fanny pack and says, I packed my absent 1001 00:55:42,239 --> 00:55:44,239 Speaker 10: tee ballot. Can we fill it out while I'm here? 1002 00:55:44,840 --> 00:55:48,120 Speaker 10: Moved about ninety seconds to evacuate, and she grabbed her 1003 00:55:48,120 --> 00:55:52,080 Speaker 10: absent tee ballot. I think that you are seeing people here. 1004 00:55:52,520 --> 00:55:55,600 Speaker 10: The storm was a catalyst for many and I think 1005 00:55:55,880 --> 00:55:58,800 Speaker 10: what people are seeing happen here in western North Carolina. 1006 00:55:59,160 --> 00:56:01,359 Speaker 10: You all have done so such a great job of 1007 00:56:01,440 --> 00:56:05,040 Speaker 10: keeping it in the forefront. It is resonating with people 1008 00:56:05,080 --> 00:56:08,520 Speaker 10: in rural Pennsylvania, people in my home state of Michigan, 1009 00:56:08,560 --> 00:56:11,400 Speaker 10: where I grew up in northern parts of Michigan. Rural 1010 00:56:11,440 --> 00:56:15,440 Speaker 10: communities across this country are looking at us and thinking, 1011 00:56:16,600 --> 00:56:18,600 Speaker 10: I know their prayers are with us. They're here helping 1012 00:56:18,640 --> 00:56:21,640 Speaker 10: us and donating, but they know, Gosh forbid, this could 1013 00:56:21,640 --> 00:56:25,239 Speaker 10: be them someday. And they are seeing the response of 1014 00:56:25,360 --> 00:56:29,319 Speaker 10: Kamala Harris, and it's resonating and motivating people across the 1015 00:56:29,400 --> 00:56:33,040 Speaker 10: country because they can relate to Western North Carolinians. 1016 00:56:34,080 --> 00:56:36,120 Speaker 1: Thank you so much for being with us, and anything 1017 00:56:36,120 --> 00:56:38,560 Speaker 1: else you wanted to say in terms of what people 1018 00:56:38,719 --> 00:56:40,880 Speaker 1: in western North Carolina need to know about how to 1019 00:56:40,880 --> 00:56:43,640 Speaker 1: get to how to get the polling location nearest them, 1020 00:56:43,840 --> 00:56:45,880 Speaker 1: or just want to put it out there for you 1021 00:56:45,920 --> 00:56:49,080 Speaker 1: to have a closing moment to speak to that community, 1022 00:56:49,160 --> 00:56:50,439 Speaker 1: especially given what they've been through. 1023 00:56:51,480 --> 00:56:55,120 Speaker 10: Absolutely, and thank you anyone in western North Carolina that's listening. 1024 00:56:55,200 --> 00:56:58,120 Speaker 10: You can visit the congressional district's website, which is NC 1025 00:56:58,360 --> 00:57:02,200 Speaker 10: eleven dot org arranging rides to the polls. If that's 1026 00:57:02,200 --> 00:57:04,200 Speaker 10: in a car an atv or on a horse. We 1027 00:57:04,239 --> 00:57:06,479 Speaker 10: will get you to the polls, and if you're willing 1028 00:57:06,520 --> 00:57:09,480 Speaker 10: to help your neighbors get there, please visit the website 1029 00:57:09,840 --> 00:57:12,960 Speaker 10: as well. But Western North Carolina is turning up, We're 1030 00:57:13,000 --> 00:57:15,280 Speaker 10: turning out, and we will deliver for Donald Trump. 1031 00:57:15,719 --> 00:57:17,960 Speaker 1: How many Let me have one more question for you, Michelle. 1032 00:57:18,000 --> 00:57:20,800 Speaker 1: How long does early voting go? For people out there 1033 00:57:20,840 --> 00:57:23,160 Speaker 1: that are listening and want to know, how long will 1034 00:57:23,160 --> 00:57:26,240 Speaker 1: the polls be open early early voting? 1035 00:57:26,280 --> 00:57:29,680 Speaker 10: We'll go into the Saturday before election day, and each 1036 00:57:29,720 --> 00:57:31,760 Speaker 10: county does it a little bit differently, So depending on 1037 00:57:31,800 --> 00:57:34,640 Speaker 10: the county that you're in, you can visit your county's 1038 00:57:34,640 --> 00:57:37,160 Speaker 10: Board of Election website. You can visit our congressional site 1039 00:57:37,200 --> 00:57:41,480 Speaker 10: at NC eleven dot org to get specific hours, but 1040 00:57:41,880 --> 00:57:45,240 Speaker 10: it runs up until the Saturday before election day. We 1041 00:57:45,320 --> 00:57:48,160 Speaker 10: have about we have seventeen days of early voting here 1042 00:57:48,360 --> 00:57:49,520 Speaker 10: in North Carolina. 1043 00:57:49,880 --> 00:57:51,919 Speaker 1: But get out, get your vote in, And we are 1044 00:57:52,040 --> 00:57:57,400 Speaker 1: encouraged and incredibly proud of the bravery and tenacity being 1045 00:57:57,440 --> 00:58:00,720 Speaker 1: shown by so many people in Western North Carolina, despite 1046 00:58:00,760 --> 00:58:03,320 Speaker 1: the slings and arrows of Helene, to be showing up 1047 00:58:03,320 --> 00:58:06,520 Speaker 1: and voting in these numbers extraordinary, Michelle, Thank you for 1048 00:58:06,600 --> 00:58:09,080 Speaker 1: all the work you're doing. One more time, Where should 1049 00:58:09,080 --> 00:58:10,800 Speaker 1: people go if they want to know how to vote? 1050 00:58:12,080 --> 00:58:15,600 Speaker 10: NC eleven dot org nceleven dot org. 1051 00:58:16,520 --> 00:58:20,040 Speaker 1: Thank you so much, Western North Carolina. We want to 1052 00:58:20,120 --> 00:58:22,440 Speaker 1: hear from you. We want you to be able to 1053 00:58:22,600 --> 00:58:26,200 Speaker 1: exceed the numbers that you posted in twenty sixteen and 1054 00:58:26,280 --> 00:58:29,160 Speaker 1: twenty twenty for Donald Trump, and so far it appears 1055 00:58:29,200 --> 00:58:32,600 Speaker 1: that you are. You just heard us talking with Michelle Woodhouse, 1056 00:58:32,640 --> 00:58:36,960 Speaker 1: Republican Party district chair of the eleventh congre Congressional district 1057 00:58:37,080 --> 00:58:40,800 Speaker 1: in Western North Carolina about everything their party's doing to 1058 00:58:40,840 --> 00:58:43,840 Speaker 1: make sure residents they are able to vote. Last week, 1059 00:58:43,960 --> 00:58:47,600 Speaker 1: I was in Asheville at five seventy WWNC. We had 1060 00:58:47,640 --> 00:58:50,400 Speaker 1: the news director morning show host. So many of you 1061 00:58:50,480 --> 00:58:52,720 Speaker 1: have reacted and reached out to him. A lot of 1062 00:58:52,800 --> 00:58:56,640 Speaker 1: articles written Mark Starling to talk about how vital radio 1063 00:58:56,960 --> 00:59:00,520 Speaker 1: was during and after the storm in terms of reaching 1064 00:59:00,600 --> 00:59:05,000 Speaker 1: impacted communities. 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The Sunday Hang, a weekend podcast to lighten 1083 01:00:13,320 --> 01:00:15,080 Speaker 4: things up a bit. Find it in the Clay and 1084 01:00:15,160 --> 01:00:18,520 Speaker 4: Buck podcast feed, on the iHeartRadio app, or wherever you 1085 01:00:18,640 --> 01:00:19,760 Speaker 4: get your podcasts.