1 00:00:00,040 --> 00:00:04,200 Speaker 1: Welcome everybody. Thursday edition of the Klay, Travis and Buck 2 00:00:04,280 --> 00:00:08,760 Speaker 1: Sexton Show kicks off right now. We're about to do 3 00:00:08,800 --> 00:00:12,520 Speaker 1: a deep dive into all of the data in this election. 4 00:00:12,920 --> 00:00:16,919 Speaker 1: It is coming in fast and furious, different states, different 5 00:00:16,920 --> 00:00:22,920 Speaker 1: polling agencies, lots of numbers. Tell them the story here 6 00:00:23,720 --> 00:00:26,960 Speaker 1: and we'll break this down for you. There's some very 7 00:00:27,000 --> 00:00:29,640 Speaker 1: good news, I would say overall for Trump, I think 8 00:00:29,720 --> 00:00:34,239 Speaker 1: it's trending in his direction. But if you look at this, 9 00:00:34,360 --> 00:00:37,239 Speaker 1: if you step back, the thirty thousand foot view of 10 00:00:37,280 --> 00:00:41,240 Speaker 1: this whole thing is it's going to be tight overall. 11 00:00:41,280 --> 00:00:43,639 Speaker 1: By the numbers, it's going to be a small difference 12 00:00:44,120 --> 00:00:47,519 Speaker 1: that determines most of these states that are in contention, 13 00:00:48,120 --> 00:00:51,640 Speaker 1: and then nationwide overall, I think it's going to be 14 00:00:52,400 --> 00:00:54,400 Speaker 1: a Look, it's going to be a close election. We've 15 00:00:54,400 --> 00:00:57,320 Speaker 1: always thought that would be the case, just because of 16 00:00:57,360 --> 00:01:02,040 Speaker 1: how divided the country is, and they've now got effectively 17 00:01:02,080 --> 00:01:06,039 Speaker 1: a generic Democrat, if you will, on the ballot. So 18 00:01:06,319 --> 00:01:09,280 Speaker 1: we'll get into all of that. Also, let you know 19 00:01:09,319 --> 00:01:13,520 Speaker 1: we've got the RNC chairman or co chairman, Michael Wattley 20 00:01:13,600 --> 00:01:17,919 Speaker 1: joining a second hour, asking him again ground game fraud, 21 00:01:18,040 --> 00:01:23,000 Speaker 1: prevention poll monitoring all of the stuff, the nuts and bolts, 22 00:01:23,080 --> 00:01:26,679 Speaker 1: the machinery of the election. We want to know what's 23 00:01:26,760 --> 00:01:29,720 Speaker 1: going on. Just like many of you, you keep asking 24 00:01:29,800 --> 00:01:30,480 Speaker 1: us what about this? 25 00:01:30,720 --> 00:01:31,280 Speaker 2: What about that? 26 00:01:32,160 --> 00:01:35,280 Speaker 1: Are are they prepared for the cheat or are they 27 00:01:35,360 --> 00:01:39,119 Speaker 1: ready to contest things in court? Let's ask the people 28 00:01:39,200 --> 00:01:44,160 Speaker 1: running the Republican machinery, including obviously the co chairman here, 29 00:01:44,160 --> 00:01:46,360 Speaker 1: so we'll talk to him about that. Two point thirty 30 00:01:46,560 --> 00:01:48,680 Speaker 1: Matt Walsh of The Daily Wire will be with us 31 00:01:48,680 --> 00:01:52,120 Speaker 1: his movie am I Racist Play? You went to the premiere. 32 00:01:52,920 --> 00:01:55,200 Speaker 1: I watched it with my wife Carrie. Some very very 33 00:01:55,200 --> 00:01:58,480 Speaker 1: funny stuff. It's very good, very funny, well done. You 34 00:01:58,520 --> 00:02:01,320 Speaker 1: agreed right that it was pretty up. Oh yeah, it was. 35 00:02:01,360 --> 00:02:03,880 Speaker 1: It was very very fun I mean, I don't want 36 00:02:03,880 --> 00:02:05,360 Speaker 1: to spell. We'll get into it with Matt. We'll get 37 00:02:05,360 --> 00:02:09,240 Speaker 1: in with Matt. Very entertaining stuff. And the whole like 38 00:02:09,400 --> 00:02:14,320 Speaker 1: DEI grift is just it's just nauseating when you really see, 39 00:02:14,440 --> 00:02:18,240 Speaker 1: how you know, it's like it's like a religion for 40 00:02:18,320 --> 00:02:21,080 Speaker 1: people that need to put aside the Xenx prescription and 41 00:02:21,080 --> 00:02:23,760 Speaker 1: find like actual God. I mean, the whole DEI thing 42 00:02:23,800 --> 00:02:29,480 Speaker 1: is insane. Anyway, let's get into what have we got 43 00:02:29,480 --> 00:02:32,639 Speaker 1: here the first Okay, Clay, we got a lot. All 44 00:02:32,680 --> 00:02:37,000 Speaker 1: the roads lead to Pennsylvania. I think that assessment that 45 00:02:37,040 --> 00:02:40,560 Speaker 1: you have, I share it, that's very much true. Let's start. 46 00:02:40,560 --> 00:02:42,160 Speaker 1: You want to start with this Washington Post pole and 47 00:02:42,160 --> 00:02:45,120 Speaker 1: get into where we Let's do it two way Pennsylvania 48 00:02:45,200 --> 00:02:49,920 Speaker 1: Post or Pennsylvania poll by Washington Post Harris Trump forty eight, 49 00:02:50,600 --> 00:02:54,079 Speaker 1: forty eight. Okay, so it is a tie right now 50 00:02:54,120 --> 00:02:57,560 Speaker 1: in Pennsylvania according to this Washington Post pole full Field 51 00:02:57,600 --> 00:03:01,080 Speaker 1: Harris forty eight, Trump forty seven Stein Jill Stein on 52 00:03:01,120 --> 00:03:05,240 Speaker 1: the ballot there at one percent. And then in the 53 00:03:05,280 --> 00:03:09,720 Speaker 1: Senate this was interesting. I have never seen a tie 54 00:03:09,760 --> 00:03:14,640 Speaker 1: between Casey and McCormick before, and Casey Bob Casey the 55 00:03:14,639 --> 00:03:17,880 Speaker 1: incumbent and Republican Dave McCormick, who we've had on the 56 00:03:17,880 --> 00:03:21,320 Speaker 1: show many times, they are tied. I think, Clay, you 57 00:03:21,360 --> 00:03:23,720 Speaker 1: have to look at this. If you're, first of if 58 00:03:23,760 --> 00:03:27,840 Speaker 1: you're the McCormick camp, very encouraging, yes. And if you're 59 00:03:28,120 --> 00:03:32,520 Speaker 1: the Trump camp, if you execute, you're gonna win. If 60 00:03:32,560 --> 00:03:35,000 Speaker 1: you followed through the game plan and stay focused, you're 61 00:03:35,000 --> 00:03:37,640 Speaker 1: gonna win. That's how I would see it. Yeah, there 62 00:03:37,640 --> 00:03:39,240 Speaker 1: are a bunch of things out there. By the way, 63 00:03:39,360 --> 00:03:42,720 Speaker 1: dead heat in the national poll from the New York Times. 64 00:03:42,800 --> 00:03:44,480 Speaker 1: Let me hit a bunch of these. There were a 65 00:03:44,480 --> 00:03:48,960 Speaker 1: deluge of poles out there that pop today and a 66 00:03:49,000 --> 00:03:52,360 Speaker 1: lot of them are telling really kind of fascinating stories. 67 00:03:53,920 --> 00:03:54,840 Speaker 2: Let me hit you with this. 68 00:03:54,920 --> 00:04:00,440 Speaker 1: Buck in New York, Kamala Harris thirteen point lead. Trump 69 00:04:00,480 --> 00:04:03,080 Speaker 1: just had a big rally in New York yesterday, did Gutfeld, 70 00:04:03,240 --> 00:04:05,600 Speaker 1: which I hope some of you watched. I thought Trump 71 00:04:05,680 --> 00:04:09,040 Speaker 1: was phenomenal on Gutfeld. We may talk about that a 72 00:04:09,040 --> 00:04:13,160 Speaker 1: little bit in New York in particular, our WR listeners 73 00:04:13,400 --> 00:04:16,640 Speaker 1: probably feeled this out in Nassau and Suffolk Counties on 74 00:04:16,720 --> 00:04:21,360 Speaker 1: Long Island, huge turnout for Trump. Harris is leading by 75 00:04:21,480 --> 00:04:25,719 Speaker 1: thirteen in the Siena pole there. Why does that matter? 76 00:04:26,240 --> 00:04:30,719 Speaker 1: Biden won by twenty three in twenty twenty, so that 77 00:04:30,760 --> 00:04:34,200 Speaker 1: would mean Trump has just, based on this pole, increased 78 00:04:34,200 --> 00:04:37,800 Speaker 1: his support by ten points. Something else that's interesting here 79 00:04:37,839 --> 00:04:40,680 Speaker 1: because this could play out nationally in a significant way. 80 00:04:41,560 --> 00:04:46,040 Speaker 1: According to the Siena poll, Trump leads among Jewish voters 81 00:04:46,400 --> 00:04:50,240 Speaker 1: fifty four to forty four. That is a double digit 82 00:04:50,360 --> 00:04:54,200 Speaker 1: lead among Jewish voters in the state of New York. 83 00:04:54,440 --> 00:04:57,440 Speaker 1: Largest Jewish population in the country is in New York, 84 00:04:57,960 --> 00:05:01,800 Speaker 1: and that would be a size, I believe shift for 85 00:05:01,839 --> 00:05:05,560 Speaker 1: Trump to win the Jewish vote. Also, as I kind 86 00:05:05,560 --> 00:05:09,760 Speaker 1: of jokingly tweeted, boy America's Hitler's doing really well with 87 00:05:09,880 --> 00:05:15,000 Speaker 1: Jewish voters in New York. Maybe the whole Hitler comparison 88 00:05:15,080 --> 00:05:17,440 Speaker 1: doesn't make a lot of sense there a couple of 89 00:05:17,520 --> 00:05:23,360 Speaker 1: other things. You mentioned the Washington Post pole dead even 90 00:05:23,400 --> 00:05:27,520 Speaker 1: in the New York Times, but in the swing states, 91 00:05:27,560 --> 00:05:31,159 Speaker 1: listen to these Buck, Trump, this is Emerson. Trump up 92 00:05:31,240 --> 00:05:35,800 Speaker 1: three in Georgia, Trump up one in Wisconsin, Trump up 93 00:05:35,880 --> 00:05:40,720 Speaker 1: one in Pennsylvania. Trump up one in Arizona, Trump down 94 00:05:40,800 --> 00:05:45,120 Speaker 1: two in Michigan, dead tie in Nevada. Harris, they have 95 00:05:45,360 --> 00:05:49,359 Speaker 1: up one in North Carolina. That is the Emerson College pole. 96 00:05:50,000 --> 00:05:52,440 Speaker 1: My point on this, Buck, it's going to be a 97 00:05:52,440 --> 00:05:57,080 Speaker 1: white knuckler. There are lots of close places out there, 98 00:05:57,600 --> 00:06:02,200 Speaker 1: But I think that the impact of debate is virtually nonexistent, 99 00:06:02,400 --> 00:06:05,760 Speaker 1: and now we're just too how many voters can each 100 00:06:05,800 --> 00:06:09,000 Speaker 1: party turnout? Right, We're going to turnout phase of the race. 101 00:06:09,040 --> 00:06:12,239 Speaker 1: It's going to be close in seven states and let's 102 00:06:12,279 --> 00:06:16,360 Speaker 1: get buckled up and start to get the votes in. Yeah, Harris, 103 00:06:16,480 --> 00:06:19,640 Speaker 1: it looks like is lost about fifty percent of the 104 00:06:19,680 --> 00:06:23,560 Speaker 1: margin in New York that Biden won by in twenty twenty. 105 00:06:23,720 --> 00:06:26,400 Speaker 1: Just to that's ten points would be if she only 106 00:06:26,440 --> 00:06:29,000 Speaker 1: wins by thirteen in New York, Buck, that is a 107 00:06:29,080 --> 00:06:31,960 Speaker 1: really bad sign for her nationwide, because she would have 108 00:06:32,040 --> 00:06:35,160 Speaker 1: lost ten points of the lead, but Biden won by 109 00:06:35,200 --> 00:06:38,440 Speaker 1: twenty three. That really kind of is a if that 110 00:06:38,480 --> 00:06:41,880 Speaker 1: were to happen, an interesting snapshot. Yes, well, it also 111 00:06:42,160 --> 00:06:46,000 Speaker 1: has effect on congressional races in New York State, which 112 00:06:46,040 --> 00:06:51,679 Speaker 1: are very important for keeping the Republicans to control the House. Remember, 113 00:06:52,040 --> 00:06:54,480 Speaker 1: you don't just want a Trump victory in this presidential election. 114 00:06:54,680 --> 00:06:57,440 Speaker 1: You want a majority for Republicans in the Senate and 115 00:06:57,480 --> 00:07:01,200 Speaker 1: in the House if you have unified government. Remember, Trump's 116 00:07:01,200 --> 00:07:03,960 Speaker 1: only got four years left. If he wins, he's going 117 00:07:04,040 --> 00:07:05,800 Speaker 1: to have to go He's going to have to come 118 00:07:05,880 --> 00:07:09,520 Speaker 1: right out of the gates and push a legislative agenda 119 00:07:09,560 --> 00:07:14,040 Speaker 1: with everything that he's got from the very beginning, and 120 00:07:14,160 --> 00:07:17,280 Speaker 1: he'll have you know, maybe a year before it just 121 00:07:17,320 --> 00:07:19,640 Speaker 1: all turns into you know, fighting over the midterms. And 122 00:07:19,680 --> 00:07:23,520 Speaker 1: everyone's scrambling for power and that whole mess. So it's 123 00:07:23,600 --> 00:07:26,000 Speaker 1: very important he has a Senate and House control behind 124 00:07:26,080 --> 00:07:28,320 Speaker 1: him and on the Republican side. And I think that 125 00:07:28,400 --> 00:07:31,280 Speaker 1: you only have Republicans to control the House now because 126 00:07:31,400 --> 00:07:37,760 Speaker 1: of some overperformance by the GOP in California New York respectively, 127 00:07:37,840 --> 00:07:41,960 Speaker 1: specifically in Long Island, Lovely Place, Love Long Island. And 128 00:07:42,800 --> 00:07:46,000 Speaker 1: I think you can say that while leez Elden wasn't 129 00:07:46,040 --> 00:07:50,200 Speaker 1: able to win the governorship, he was a strong enough 130 00:07:50,520 --> 00:07:52,640 Speaker 1: kind of wind at the backs of other candidates in 131 00:07:52,680 --> 00:07:54,640 Speaker 1: New York that he helped push them Republicans over the 132 00:07:54,640 --> 00:07:57,440 Speaker 1: finish line for a razor thin majority of the House. 133 00:07:57,440 --> 00:07:59,920 Speaker 1: We don't talk about the House battle very much. That's 134 00:08:00,080 --> 00:08:02,600 Speaker 1: going to be very that's gonna be very much in 135 00:08:02,640 --> 00:08:05,600 Speaker 1: contention this time around. So it's not like we have 136 00:08:05,640 --> 00:08:07,960 Speaker 1: a big lead that we can afford to lose a 137 00:08:08,000 --> 00:08:10,960 Speaker 1: lot of seats and still maintain a majority in New York. 138 00:08:11,040 --> 00:08:14,320 Speaker 1: If you have the numbers that we're seeing right now 139 00:08:14,320 --> 00:08:16,560 Speaker 1: for Harris, that would be an indicator of some very 140 00:08:16,560 --> 00:08:20,080 Speaker 1: strong finishes for other Republicans who will be on the 141 00:08:20,080 --> 00:08:24,520 Speaker 1: ballot there. I think Clay that if you're the Trump team, 142 00:08:24,560 --> 00:08:27,119 Speaker 1: you have to view this and say this is going 143 00:08:27,160 --> 00:08:29,800 Speaker 1: pretty well. It's better than it has ever been for 144 00:08:29,840 --> 00:08:32,439 Speaker 1: Trump at this phase. So you know, he won one, 145 00:08:32,520 --> 00:08:36,280 Speaker 1: he lost one. And this is also where I think 146 00:08:36,320 --> 00:08:38,160 Speaker 1: you can point out this was an amazing stat It's 147 00:08:38,160 --> 00:08:42,200 Speaker 1: all over online right now. It has been almost sixty days. 148 00:08:42,200 --> 00:08:45,800 Speaker 1: It's fifty nine days, okay, almost two months since Harris 149 00:08:46,880 --> 00:08:51,080 Speaker 1: was the nominee. Effectively, right, the de facto nominee Trump 150 00:08:51,160 --> 00:08:57,000 Speaker 1: advance have done over seventy seventy media hits, you know, interviews, press, 151 00:08:57,200 --> 00:09:02,680 Speaker 1: press sit downs. Harris and Walls together have done seven. 152 00:09:03,559 --> 00:09:06,000 Speaker 1: I mean, we're not just saying that the strategy has 153 00:09:06,120 --> 00:09:09,600 Speaker 1: hide the candidate from the media. The strategy has hied 154 00:09:09,640 --> 00:09:12,360 Speaker 1: the candidate from the media. It's at the point now, Clay, 155 00:09:12,400 --> 00:09:15,559 Speaker 1: where Morning Joe has to admit that that's what they're 156 00:09:15,559 --> 00:09:18,760 Speaker 1: doing and try to explain how that's a good thing 157 00:09:18,840 --> 00:09:21,679 Speaker 1: and not a dishonest thing. Right, this whole thing is 158 00:09:21,720 --> 00:09:24,160 Speaker 1: supposed to be pulling the wool over the eyes of 159 00:09:24,200 --> 00:09:26,760 Speaker 1: the American voter and hoping that they can't see through 160 00:09:27,080 --> 00:09:30,199 Speaker 1: and figure out what's going on here, no doubt, And 161 00:09:30,679 --> 00:09:33,360 Speaker 1: those numbers are staggering, and you can imagine if they 162 00:09:33,360 --> 00:09:37,320 Speaker 1: were reversed how much whaling there would be. And look, 163 00:09:37,320 --> 00:09:41,000 Speaker 1: the lesson they took from twenty twenty was we can 164 00:09:41,040 --> 00:09:43,920 Speaker 1: have a mediocre candidate and we can hide him from 165 00:09:43,960 --> 00:09:46,520 Speaker 1: the press, and we can try to make this race 166 00:09:46,760 --> 00:09:50,320 Speaker 1: entirely about Donald Trump. And a lot of people out 167 00:09:50,320 --> 00:09:53,200 Speaker 1: there listening to us right now are not able to 168 00:09:53,320 --> 00:09:56,319 Speaker 1: name a single thing they like about what Kamala has 169 00:09:56,400 --> 00:09:59,600 Speaker 1: done during her tenure as vice president, but they are 170 00:09:59,600 --> 00:10:01,679 Speaker 1: going to vot vote for her because they have Trump 171 00:10:01,760 --> 00:10:06,040 Speaker 1: Trump derangement syndrome, because they have been driven bonkers and 172 00:10:06,080 --> 00:10:10,120 Speaker 1: they're emotionally responding and they're just not willing to vote 173 00:10:10,200 --> 00:10:14,040 Speaker 1: for Trump. And that's not because of anything Kamala is done. 174 00:10:14,080 --> 00:10:16,160 Speaker 1: So they're trying to make it like they did in 175 00:10:16,200 --> 00:10:19,800 Speaker 1: twenty twenty. Difference is you had COVID in twenty twenty 176 00:10:19,880 --> 00:10:23,400 Speaker 1: and Trump was the incumbent. I think such an effective 177 00:10:23,440 --> 00:10:26,520 Speaker 1: attack for Trump is, if you've got all these great ideas, 178 00:10:26,520 --> 00:10:29,040 Speaker 1: why haven't you implemented them already? You've been in power 179 00:10:29,080 --> 00:10:31,440 Speaker 1: for three and a half years. And secondly, and this 180 00:10:31,480 --> 00:10:34,000 Speaker 1: is a question that I would encourage many of you 181 00:10:34,120 --> 00:10:37,480 Speaker 1: to be asking is you are sitting around tables, maybe 182 00:10:37,480 --> 00:10:41,720 Speaker 1: you're with persuadable people in your lives, friends, family, Name 183 00:10:41,760 --> 00:10:44,960 Speaker 1: one thing Kamala is done that you think is a 184 00:10:44,960 --> 00:10:49,520 Speaker 1: really good job such that she deserves a promotion. I 185 00:10:49,559 --> 00:10:51,400 Speaker 1: don't think there's one thing people can point to, Buck, 186 00:10:52,360 --> 00:10:54,920 Speaker 1: I legitimately don't. We had that guy call in from 187 00:10:54,920 --> 00:10:59,080 Speaker 1: Omaha yesterday. I open phone lines eight hundred and two 188 00:10:59,160 --> 00:11:03,240 Speaker 1: eighty two to two. Is there anyone listening to us 189 00:11:03,320 --> 00:11:07,040 Speaker 1: right now who is voting for Kamala not against Trump? 190 00:11:07,320 --> 00:11:09,400 Speaker 1: I know there are lots of people that are voting 191 00:11:09,640 --> 00:11:14,680 Speaker 1: against Trump. What has Kamala done that you believe she 192 00:11:14,840 --> 00:11:17,959 Speaker 1: is deserving of a promotion. Is there a single person 193 00:11:18,000 --> 00:11:20,679 Speaker 1: out there listening to us right now that can call 194 00:11:20,720 --> 00:11:24,360 Speaker 1: in and say something that Kamala did well such that 195 00:11:24,520 --> 00:11:27,520 Speaker 1: you believe she deserves a promotion. Again, I think a 196 00:11:27,520 --> 00:11:30,040 Speaker 1: lot of Kamala voters are just anti Trump people. They 197 00:11:30,040 --> 00:11:32,000 Speaker 1: would show up and vote against Trump no matter who 198 00:11:32,000 --> 00:11:34,560 Speaker 1: he was running against. But the real question here is 199 00:11:34,600 --> 00:11:37,520 Speaker 1: she's the incumbent. What has she done to prove that 200 00:11:37,559 --> 00:11:40,199 Speaker 1: she deserves a promotion. I'll tell you this, Clay, I 201 00:11:40,240 --> 00:11:44,520 Speaker 1: think that the loyalty of the deranged Democrat party these 202 00:11:44,600 --> 00:11:48,640 Speaker 1: days is so strong to the brand that if there 203 00:11:48,679 --> 00:11:53,360 Speaker 1: were a way for them to legally vote for a placeholder, 204 00:11:54,160 --> 00:11:57,160 Speaker 1: and I mean this, if you could get Democrats so 205 00:11:57,200 --> 00:12:00,439 Speaker 1: that they could have them a ballot Democrat will tell 206 00:12:00,440 --> 00:12:05,680 Speaker 1: you later ninety ninety plus percent of Democrats would say, sure, 207 00:12:06,200 --> 00:12:08,280 Speaker 1: you guys, let us know later on. As long as 208 00:12:08,280 --> 00:12:10,800 Speaker 1: it's a Democrat, we don't care, which also means you 209 00:12:10,800 --> 00:12:13,120 Speaker 1: could replace the Democrat with anybody. In fact, the whole 210 00:12:13,160 --> 00:12:17,320 Speaker 1: move to Kamala from Biden is really just an indicator of, oh, yeah, 211 00:12:17,440 --> 00:12:19,920 Speaker 1: we think we can just have a Democrat run no 212 00:12:20,000 --> 00:12:23,679 Speaker 1: real campaign and be a particularly weak Democrat and shove 213 00:12:23,800 --> 00:12:27,000 Speaker 1: her boss in essence the president out of office or 214 00:12:27,040 --> 00:12:29,960 Speaker 1: you know, out of the spotlight, out of reelection, and 215 00:12:30,000 --> 00:12:31,760 Speaker 1: we can still win an election. You know what I'm saying, 216 00:12:31,800 --> 00:12:35,360 Speaker 1: It's yeah, they, the people who are voting for Kamala, 217 00:12:35,400 --> 00:12:39,520 Speaker 1: would vote for a fill in the blank Democrat. And 218 00:12:39,559 --> 00:12:42,040 Speaker 1: I don't mean that as hyperba I'm pulling a Biden. 219 00:12:42,120 --> 00:12:43,680 Speaker 1: It's not hyperbole. It's not a joke. 220 00:12:43,800 --> 00:12:45,240 Speaker 2: Jokes, no jokes. 221 00:12:45,440 --> 00:12:47,920 Speaker 1: I mean that, seriously, they would do it. They would say, sure, 222 00:12:48,120 --> 00:12:50,319 Speaker 1: tell me who the Democrat is in January. As long 223 00:12:50,360 --> 00:12:52,719 Speaker 1: as it's a Democrat and not Trump, I think that's 224 00:12:52,720 --> 00:12:54,959 Speaker 1: one hundred percent accurate. We'll take some of your calls. 225 00:12:54,960 --> 00:12:57,960 Speaker 1: Maybe there's a diehard Kamala supporter out there in this 226 00:12:58,080 --> 00:13:01,440 Speaker 1: audience of millions going to be it's gonna be nice. 227 00:13:01,480 --> 00:13:03,960 Speaker 1: Just when you call in Kamala supporter, tell them that, 228 00:13:04,120 --> 00:13:06,760 Speaker 1: tell Clay that you agree that mallusion is really handsome 229 00:13:07,160 --> 00:13:11,040 Speaker 1: and then starts viewing communist nonsense. The comments to me 230 00:13:11,280 --> 00:13:13,880 Speaker 1: saying on Twitter, Bill malusians the best looking person on 231 00:13:13,960 --> 00:13:16,079 Speaker 1: Fox News. If you want a good laugh, if you're 232 00:13:16,080 --> 00:13:20,040 Speaker 1: feeling stressed, dive into the comments and just just live 233 00:13:20,080 --> 00:13:20,360 Speaker 1: it up. 234 00:13:20,440 --> 00:13:21,000 Speaker 2: Just dive in. 235 00:13:21,080 --> 00:13:23,640 Speaker 1: I mean sometimes the comments are fantastic. You guys are 236 00:13:23,720 --> 00:13:27,320 Speaker 1: are pretty extraordinary. Look one year anniversary of the horrific 237 00:13:27,360 --> 00:13:30,080 Speaker 1: events that took place in Israel on October seventh, just 238 00:13:30,120 --> 00:13:33,240 Speaker 1: a few weeks away. Fear in another attack from Hamas 239 00:13:33,360 --> 00:13:36,199 Speaker 1: or other groups on the forefront of everyone's minds has 240 00:13:36,280 --> 00:13:40,560 Speaker 1: many Israeli residents taking to bomb shelters regularly. The International 241 00:13:40,640 --> 00:13:44,000 Speaker 1: Fellowship of Christians and Jews, that's the IFCJ, has been 242 00:13:44,040 --> 00:13:47,600 Speaker 1: helping to provide Israeli citizens with food and medicine for 243 00:13:47,720 --> 00:13:51,080 Speaker 1: bomb shelter stays that can last for several days. For 244 00:13:51,120 --> 00:13:54,080 Speaker 1: more than forty years, the IFCJ has been on the 245 00:13:54,080 --> 00:13:57,640 Speaker 1: ground in Israel within hours of the attacks by Hamas 246 00:13:57,720 --> 00:14:01,440 Speaker 1: last October. Every day since, the IFCJ has been feeding 247 00:14:01,480 --> 00:14:04,760 Speaker 1: the hungry and protecting the vulnerable. We need to help them, 248 00:14:04,800 --> 00:14:06,840 Speaker 1: and one solid way to do it is through the 249 00:14:06,920 --> 00:14:11,400 Speaker 1: humanitarian efforts provided by the IFCJ. They're looking for your 250 00:14:11,480 --> 00:14:16,120 Speaker 1: financial contributions to help their ongoing efforts. Your generous donation 251 00:14:16,240 --> 00:14:19,680 Speaker 1: today will not only provide a flag symbolizing your support 252 00:14:19,720 --> 00:14:23,160 Speaker 1: in churchyards across America, but it will also support the 253 00:14:23,200 --> 00:14:27,760 Speaker 1: Fellowship's ongoing emergency efforts in Israel. Israel needs you now. 254 00:14:28,160 --> 00:14:33,400 Speaker 1: SUPPORTIFCJ dot org. That's support IFCJ dot org. 255 00:14:33,520 --> 00:14:34,640 Speaker 2: You ain't imagining it. 256 00:14:35,640 --> 00:14:37,640 Speaker 1: The world has gone insane. 257 00:14:37,880 --> 00:14:40,920 Speaker 2: We claim your sanity with Clay and Funding. 258 00:14:41,160 --> 00:14:44,480 Speaker 1: Find them on the free iHeartRadio app or wherever you 259 00:14:44,600 --> 00:14:49,280 Speaker 1: get your podcasts. Welcome back in Clay Travis buck Sexton Show. 260 00:14:49,320 --> 00:14:51,520 Speaker 1: Appreciate all of you hanging out with us. As we 261 00:14:51,560 --> 00:14:55,840 Speaker 1: are rolling through the Thursday edition of the program. A 262 00:14:55,920 --> 00:15:00,560 Speaker 1: lot of poll data like we said, pouring in today, 263 00:15:01,320 --> 00:15:06,680 Speaker 1: and all of it basically gives the same storyline, which is, 264 00:15:07,440 --> 00:15:11,720 Speaker 1: if you're in Nevada, if you're in Arizona, you're in 265 00:15:11,800 --> 00:15:15,880 Speaker 1: North Carolina, if you're in Georgia, Pennsylvania, Michigan, or Wisconsin, 266 00:15:16,600 --> 00:15:20,040 Speaker 1: it's going to be super tight. And boy, oh boy, 267 00:15:20,640 --> 00:15:23,320 Speaker 1: are we going to have a lot to pay attention 268 00:15:23,440 --> 00:15:27,880 Speaker 1: to when election night arrives. But I think what is 269 00:15:27,960 --> 00:15:30,400 Speaker 1: becoming clear, and we just talked about this quite a bit, Buck, 270 00:15:31,040 --> 00:15:35,840 Speaker 1: I don't think that there has been some incredible alteration 271 00:15:36,240 --> 00:15:39,240 Speaker 1: of the trajectory of the race based on the debate 272 00:15:39,280 --> 00:15:40,480 Speaker 1: that happened last week. 273 00:15:41,040 --> 00:15:41,440 Speaker 2: There. 274 00:15:42,080 --> 00:15:44,320 Speaker 1: If they're to the extent that there is any sort 275 00:15:44,360 --> 00:15:47,120 Speaker 1: of debate impact on the polls, it's going to fade 276 00:15:47,240 --> 00:15:52,040 Speaker 1: really really fast. I mentioned, and I really do encourage 277 00:15:52,080 --> 00:15:55,760 Speaker 1: you to do this. Trump was on Gutfeld last night. 278 00:15:55,960 --> 00:15:57,760 Speaker 1: I don't know if you happened to see it, Buck, 279 00:15:57,840 --> 00:16:00,480 Speaker 1: I had an advertiser dinner with our friends that price 280 00:16:00,560 --> 00:16:04,720 Speaker 1: picks last night. I got home, my wife had Fox 281 00:16:04,800 --> 00:16:08,480 Speaker 1: News on and the Gutfeld Show was just about to 282 00:16:08,560 --> 00:16:12,880 Speaker 1: start when I got home, and Trump was phenomenal on it. 283 00:16:13,080 --> 00:16:14,960 Speaker 1: And for those of you out there that have never 284 00:16:15,120 --> 00:16:19,080 Speaker 1: watched Gutfeld show. It's the most watched. What I would 285 00:16:19,080 --> 00:16:21,720 Speaker 1: say is kind of comedy focused show out there. Bigger 286 00:16:21,720 --> 00:16:26,000 Speaker 1: than Kimmel, Bigger than than I came, even Colebert, Bigger 287 00:16:26,040 --> 00:16:28,440 Speaker 1: than it's late it's a late night show right now, 288 00:16:28,560 --> 00:16:30,760 Speaker 1: I think, Yeah, I think it's late night the same way. 289 00:16:30,920 --> 00:16:33,440 Speaker 1: We don't have to give some kind of special privilege 290 00:16:33,480 --> 00:16:37,360 Speaker 1: to the you know, the like the the nepotism, if 291 00:16:37,400 --> 00:16:39,600 Speaker 1: you will, of these other shows that get inherited, Like 292 00:16:39,680 --> 00:16:41,920 Speaker 1: Greg built his own show. It's super successful. It's on 293 00:16:41,960 --> 00:16:44,840 Speaker 1: against them and he kicks their butt. Yeah, ABC, NBC, 294 00:16:44,920 --> 00:16:48,080 Speaker 1: and CBS, the traditional homes of late night television all 295 00:16:48,120 --> 00:16:50,480 Speaker 1: lose to Gutfeld. And what I loved about it Buck, 296 00:16:50,600 --> 00:16:54,280 Speaker 1: you've done this show before. There's just a panel basically 297 00:16:54,280 --> 00:16:58,960 Speaker 1: a four everybody's in comfortable chairs, and they had Trump 298 00:16:59,040 --> 00:17:02,160 Speaker 1: as one of the panels. And you don't know, I've 299 00:17:02,160 --> 00:17:04,320 Speaker 1: done the show quite a few times. You don't really 300 00:17:04,440 --> 00:17:08,040 Speaker 1: know what the topics are, the conversation is going to be, 301 00:17:08,200 --> 00:17:11,840 Speaker 1: how it's going to go. It's all, to a large extent, unscripted, 302 00:17:12,359 --> 00:17:15,359 Speaker 1: and he was phenomenal. It's one of the best media 303 00:17:16,040 --> 00:17:18,680 Speaker 1: events that I have seen Trump do in some time, 304 00:17:19,160 --> 00:17:22,080 Speaker 1: and again I would encourage you if you didn't see 305 00:17:22,119 --> 00:17:25,800 Speaker 1: it and you want a good laugh, but also just 306 00:17:25,920 --> 00:17:29,600 Speaker 1: the sense of man. Trump is just a pretty good dude. 307 00:17:30,240 --> 00:17:33,720 Speaker 1: I think you will get it from that performance last night. 308 00:17:33,760 --> 00:17:36,240 Speaker 1: It's one of the best media performances I've seen from him, 309 00:17:36,240 --> 00:17:38,080 Speaker 1: and Trump's had a lot. I mean, I know this 310 00:17:38,240 --> 00:17:40,520 Speaker 1: is just a little aside, but Clay and I both 311 00:17:40,520 --> 00:17:42,639 Speaker 1: spent a fair amount of time with President Trump. I 312 00:17:42,640 --> 00:17:44,040 Speaker 1: met him for the first time in person when I 313 00:17:44,119 --> 00:17:45,800 Speaker 1: was thirteen years old, so I got back with him 314 00:17:45,840 --> 00:17:48,560 Speaker 1: quite a long time, and he's just like a fun 315 00:17:48,600 --> 00:17:51,960 Speaker 1: guy to talk to. A lot of politicians, not so much. 316 00:17:52,600 --> 00:17:55,640 Speaker 1: Trump is actually fun. Fun to het Oubut just saying 317 00:17:56,760 --> 00:17:59,280 Speaker 1: you don't know what you don't know. My cell phone 318 00:17:59,320 --> 00:18:01,840 Speaker 1: company Pure wants to fill you in on a little 319 00:18:01,880 --> 00:18:05,000 Speaker 1: known industry secret secret. You probably don't need an unlimited 320 00:18:05,080 --> 00:18:07,760 Speaker 1: data plan on your cell phone bill every month. 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Dial pound two fifty, say Clay 330 00:18:32,960 --> 00:18:36,439 Speaker 1: en Buck, and you'll save fifty percent off your first month. Again. 331 00:18:36,640 --> 00:18:39,919 Speaker 1: Dial pound two five zero, say Clay en Buck to 332 00:18:40,040 --> 00:18:43,080 Speaker 1: start saving now on your cell phone plan. So easy 333 00:18:43,119 --> 00:18:45,080 Speaker 1: to make that switch. I did it. You can do 334 00:18:45,160 --> 00:18:48,119 Speaker 1: it too. Pound two to five zero from your phone. 335 00:18:48,560 --> 00:18:52,119 Speaker 1: Go with Puretalk. Pound two five zero, say Clay and Buck. 336 00:18:52,280 --> 00:18:55,880 Speaker 1: All right, welcome back in. It is day to day here. 337 00:18:56,040 --> 00:18:58,920 Speaker 1: All these polls come flying in, giving us a census 338 00:18:58,920 --> 00:19:02,360 Speaker 1: to what's happening right now. Remember it's not election day, 339 00:19:02,440 --> 00:19:05,760 Speaker 1: so polls or just a snapshot in time of sentiment. 340 00:19:05,800 --> 00:19:08,680 Speaker 1: They could change tomorrow, but they give us a sense 341 00:19:08,680 --> 00:19:11,679 Speaker 1: of momentum. They give us a sense as to how 342 00:19:11,720 --> 00:19:13,240 Speaker 1: close this is going to be, where it's going to 343 00:19:13,320 --> 00:19:16,440 Speaker 1: be close. I do think Trump is looking good in 344 00:19:17,520 --> 00:19:21,000 Speaker 1: Wisconsin at this point, and maybe enough that he'll help 345 00:19:21,040 --> 00:19:23,720 Speaker 1: pull our friend mister Hovedy across the line in the 346 00:19:23,760 --> 00:19:27,919 Speaker 1: great state of Wisconsin. Our wisn fam up there on Wisconsin. 347 00:19:28,520 --> 00:19:31,280 Speaker 1: You are an army out there. We appreciate so much 348 00:19:31,320 --> 00:19:34,080 Speaker 1: all of you listening in the Milwaukee area, and you 349 00:19:34,119 --> 00:19:36,879 Speaker 1: can go out and do your best to get friends 350 00:19:36,880 --> 00:19:38,960 Speaker 1: and family to the polls in a state like Wisconsin. 351 00:19:40,320 --> 00:19:42,480 Speaker 1: You know, you don't need that many people to get 352 00:19:42,520 --> 00:19:45,600 Speaker 1: really engaged to be able to see how it affects 353 00:19:45,640 --> 00:19:48,440 Speaker 1: the numbers. So just remember that. You know, I grew 354 00:19:48,520 --> 00:19:50,080 Speaker 1: up in New York City where I was like, I'm 355 00:19:50,080 --> 00:19:54,920 Speaker 1: going to vote Republican because that's my civic duty to vote. 356 00:19:55,200 --> 00:19:57,040 Speaker 1: And then I would just get crushed. You know, it's 357 00:19:57,160 --> 00:19:59,399 Speaker 1: like eighty twenty. You just get crushed here in the ear. 358 00:19:59,600 --> 00:20:01,879 Speaker 1: Although Juliani did win the mayor when I was but 359 00:20:01,920 --> 00:20:04,040 Speaker 1: I was too young to vote for that right. I couldn't. 360 00:20:04,359 --> 00:20:04,760 Speaker 2: I wasn't. 361 00:20:04,920 --> 00:20:06,959 Speaker 1: I wasn't a part of the Giuliani miracle because I 362 00:20:07,000 --> 00:20:11,080 Speaker 1: was twelve or something. But anyway, this is it's good 363 00:20:11,080 --> 00:20:13,400 Speaker 1: for Trump. That's the bottom line. And there's something else 364 00:20:13,440 --> 00:20:15,400 Speaker 1: I just wanted to note. First of all, the fact 365 00:20:15,400 --> 00:20:18,520 Speaker 1: that they've only done seven interviews with Kamala and Walls 366 00:20:18,720 --> 00:20:21,239 Speaker 1: is in a sense, it's really all you have to 367 00:20:21,280 --> 00:20:28,840 Speaker 1: know because it's such clear indication of what a disaster 368 00:20:29,000 --> 00:20:31,680 Speaker 1: she really is as a candidate. And also I think 369 00:20:31,720 --> 00:20:34,840 Speaker 1: that people's sense of the debate. There's some polling that 370 00:20:34,880 --> 00:20:38,879 Speaker 1: shows some marginal you know, victory for Kamala and debate. 371 00:20:39,040 --> 00:20:40,600 Speaker 1: I really just think she did a little better than 372 00:20:40,600 --> 00:20:43,720 Speaker 1: people thought. But she memorized lines. It wasn't like Kamala 373 00:20:43,800 --> 00:20:47,400 Speaker 1: impressed us with her knowledge and her you know, ability 374 00:20:47,440 --> 00:20:49,480 Speaker 1: to handle things on the fly. She memorized lines and 375 00:20:49,560 --> 00:20:52,919 Speaker 1: she keeps saying those lines. So the longer she goes, 376 00:20:53,000 --> 00:20:55,280 Speaker 1: the more it's like, wait a second. So you're like 377 00:20:55,320 --> 00:21:00,000 Speaker 1: an actor who, unless he's spewing Shakespeare, doesn't sound very 378 00:21:00,200 --> 00:21:02,440 Speaker 1: smart because you got nothing to say. You know, there's 379 00:21:02,680 --> 00:21:04,240 Speaker 1: this is what people have always said about de Niro. 380 00:21:04,320 --> 00:21:06,439 Speaker 1: By the way, without a script, he's as dumb as 381 00:21:06,480 --> 00:21:08,399 Speaker 1: a fence post. You ever heard that before, You know 382 00:21:08,600 --> 00:21:11,840 Speaker 1: what I mean? That doesn't surprise me because memorizing lines 383 00:21:12,400 --> 00:21:15,439 Speaker 1: or reading, frankly, for people who don't know how teleprompter 384 00:21:15,480 --> 00:21:19,720 Speaker 1: or television works, you're basically an actor if you're not 385 00:21:20,040 --> 00:21:23,200 Speaker 1: on the fly reacting to what people say, and you 386 00:21:23,320 --> 00:21:26,240 Speaker 1: got an ear piece in so people in the production 387 00:21:26,480 --> 00:21:30,560 Speaker 1: room can tell you questions to ask or give you 388 00:21:30,720 --> 00:21:33,880 Speaker 1: data points or whatever else. I mean, you can tell 389 00:21:33,920 --> 00:21:36,359 Speaker 1: pretty quickly who is good on their feet and who's not. 390 00:21:36,440 --> 00:21:39,119 Speaker 1: And that's why I thought the Trump Gutfeld situation was 391 00:21:39,160 --> 00:21:42,200 Speaker 1: so great. Kamala Harris would never do that. She would 392 00:21:42,200 --> 00:21:46,280 Speaker 1: never do an unscripted one of four panel discussion show. 393 00:21:46,760 --> 00:21:48,960 Speaker 1: That's what I thought was so great about the Gutfeld 394 00:21:49,040 --> 00:21:53,479 Speaker 1: setup was they didn't treat Trump any differently than they 395 00:21:53,520 --> 00:21:56,000 Speaker 1: would have you or me if we were a panelist 396 00:21:56,080 --> 00:21:58,280 Speaker 1: on the show. They had cat tempt, they had tyrists 397 00:21:58,320 --> 00:22:02,000 Speaker 1: who were always there. Our friend Emily Campagno was there. 398 00:22:02,119 --> 00:22:05,800 Speaker 1: And then Gutfeld hosted it and Trump was the fourth panelist, 399 00:22:06,040 --> 00:22:08,320 Speaker 1: and he just sat in the chair like hung out, 400 00:22:08,359 --> 00:22:11,560 Speaker 1: like would ordinarily have happened on the show, and he 401 00:22:11,640 --> 00:22:14,439 Speaker 1: fit in fantastically well. He gave Gutfeld a lot of 402 00:22:14,480 --> 00:22:17,879 Speaker 1: grief for not being enough of a Trump supporter early 403 00:22:17,960 --> 00:22:20,080 Speaker 1: on and saying a lot of awful things about him, 404 00:22:20,119 --> 00:22:21,680 Speaker 1: And I actually thought there are a bunch of quotes 405 00:22:21,680 --> 00:22:24,160 Speaker 1: from there that I thought were great, But the gut 406 00:22:24,160 --> 00:22:25,879 Speaker 1: Felt asked him about it, and he said, if I 407 00:22:26,080 --> 00:22:29,639 Speaker 1: only was allied with people who said nice things about 408 00:22:29,640 --> 00:22:32,399 Speaker 1: me all the time. I would have no like, no 409 00:22:32,880 --> 00:22:36,720 Speaker 1: political allies, because everybody has ripped me at some point. 410 00:22:36,760 --> 00:22:38,520 Speaker 1: And I think that's one thing we've talked about it 411 00:22:38,560 --> 00:22:43,280 Speaker 1: on this show. Trump doesn't get enough credit for being 412 00:22:43,920 --> 00:22:48,840 Speaker 1: totally willing to give up on any sort of an antipathy, 413 00:22:49,000 --> 00:22:52,320 Speaker 1: grudge or anything else. The minute somebody's like, you know what, 414 00:22:52,359 --> 00:22:54,359 Speaker 1: he's doing a pretty good job, he forgets all the 415 00:22:54,400 --> 00:22:57,000 Speaker 1: negative that was said. Hey, there's always room on the 416 00:22:57,000 --> 00:22:59,359 Speaker 1: train if you'll get on the train. There's room on 417 00:22:59,359 --> 00:23:01,640 Speaker 1: the train, but you have to get on the Trump train. Absolutely. 418 00:23:01,680 --> 00:23:04,600 Speaker 1: But Jadie Vance called him America's Hitler, and now he's running. 419 00:23:04,320 --> 00:23:04,960 Speaker 2: With him as VP. 420 00:23:05,359 --> 00:23:07,680 Speaker 1: I mean, that's a perfect example of this is also 421 00:23:07,720 --> 00:23:09,919 Speaker 1: why not not to go back here. But when people 422 00:23:10,200 --> 00:23:12,960 Speaker 1: were very upset in the primary, particularly at some of 423 00:23:12,960 --> 00:23:15,320 Speaker 1: the Ronda Santis fans out there, and they're like, you're 424 00:23:15,400 --> 00:23:18,000 Speaker 1: never gonna be allowed back, I was like, no, no, 425 00:23:18,080 --> 00:23:20,440 Speaker 1: they're gonna be allowed back in the Republican ten. It's okay, 426 00:23:20,480 --> 00:23:22,520 Speaker 1: Like it was a rough primary, but it's okay. We 427 00:23:22,560 --> 00:23:26,960 Speaker 1: can all Nick endorsed him. I understand Dick Cheney and 428 00:23:27,320 --> 00:23:30,560 Speaker 1: Liz Cheney, which you could predict and all those people 429 00:23:30,600 --> 00:23:33,719 Speaker 1: like the Liz Cheney one's particularly funny buck because it 430 00:23:33,840 --> 00:23:36,399 Speaker 1: now is the case that she's so anti Trump that 431 00:23:36,440 --> 00:23:40,400 Speaker 1: she's willing to support the furthest left wing Democrat nominee 432 00:23:40,440 --> 00:23:42,720 Speaker 1: of all time. And all these people out there who 433 00:23:42,760 --> 00:23:46,159 Speaker 1: are running the Bulwark or the Lincoln Project, I guarantee 434 00:23:46,160 --> 00:23:49,080 Speaker 1: you if ron DeSantis were the nominee, and I think 435 00:23:49,160 --> 00:23:51,320 Speaker 1: DeSantis would have been the nominee if Trump were not, 436 00:23:51,920 --> 00:23:55,400 Speaker 1: they would be attacking DeSantis every bit as vociferously as 437 00:23:55,400 --> 00:23:58,640 Speaker 1: they have been attacking Trump. I have zero doubt. Because 438 00:23:58,680 --> 00:24:00,560 Speaker 1: that's also where their audience, in their mind is now. 439 00:24:00,640 --> 00:24:04,240 Speaker 1: They are there. They're Democrat mercenaries, is what they are. 440 00:24:05,119 --> 00:24:07,720 Speaker 1: They're mercenaries, and that they'll just take money to fight 441 00:24:07,800 --> 00:24:10,040 Speaker 1: for whichever side, and the money comes from the Democrats. 442 00:24:10,119 --> 00:24:13,600 Speaker 1: Right now, because you can't argue to me at least 443 00:24:13,840 --> 00:24:17,240 Speaker 1: that this is I mean, there's one former Republican or 444 00:24:17,240 --> 00:24:21,320 Speaker 1: former Conservative who always does the conservative case for and 445 00:24:21,359 --> 00:24:25,080 Speaker 1: it's become this this cliche, it's become this meme of 446 00:24:25,280 --> 00:24:28,000 Speaker 1: you know, the conservative case for abortion for all nine 447 00:24:28,000 --> 00:24:31,359 Speaker 1: months of a pregnancy, the conservative case for open borders, 448 00:24:31,359 --> 00:24:34,639 Speaker 1: and DEI programs. You're like, you're a leftist. 449 00:24:34,760 --> 00:24:35,280 Speaker 2: You're not making it. 450 00:24:35,520 --> 00:24:38,439 Speaker 1: There's no conservative case. You're just a leftist. You just 451 00:24:38,520 --> 00:24:41,560 Speaker 1: hate Trump so much that you have switched teams. You 452 00:24:41,640 --> 00:24:44,720 Speaker 1: are Benedict Arnold. You have betrayed your team and you 453 00:24:44,840 --> 00:24:47,119 Speaker 1: now fight for the other team. I just wish they 454 00:24:47,160 --> 00:24:49,840 Speaker 1: were honest about it. But there's so much of that 455 00:24:50,119 --> 00:24:53,399 Speaker 1: because what they all the Republicans who go on MSNBC, 456 00:24:53,760 --> 00:24:57,280 Speaker 1: They're all Democrats who call themselves Republicans. It's such a sham. 457 00:24:57,400 --> 00:24:59,320 Speaker 1: It's it's absurd. I mean, you know, I think Joe 458 00:24:59,359 --> 00:25:01,720 Speaker 1: Scarborough's t tically an independent now, but you know, the 459 00:25:01,720 --> 00:25:04,480 Speaker 1: guy's a Democrat. How can you be an independent and 460 00:25:04,520 --> 00:25:06,800 Speaker 1: have nothing critical to say about Kamala Harris, who's the 461 00:25:06,800 --> 00:25:11,360 Speaker 1: worst Democrat candidate since Duccacus. I totally agree with all that, 462 00:25:11,440 --> 00:25:13,760 Speaker 1: and I also just think it's amazing to think about 463 00:25:13,800 --> 00:25:18,040 Speaker 1: the political trajectory we're on. That Dick Cheney, who in 464 00:25:18,080 --> 00:25:20,840 Speaker 1: the days of Fahrenheit nine to one, one right, nine 465 00:25:20,880 --> 00:25:25,320 Speaker 1: to eleven or whatever it was, the Michael Moore, Dick 466 00:25:25,440 --> 00:25:29,520 Speaker 1: Cheney was Satan. He was Darth Vader. He was the 467 00:25:29,640 --> 00:25:33,879 Speaker 1: great evil of the entire United States. Even up to 468 00:25:34,520 --> 00:25:37,639 Speaker 1: what was the movie that Will Ferrell's but he made 469 00:25:37,800 --> 00:25:41,960 Speaker 1: about the Imperial Presidency where Dick Cheney was the bad guy. 470 00:25:42,000 --> 00:25:44,399 Speaker 1: Do you know what I'm talking about? It was about 471 00:25:45,720 --> 00:25:47,560 Speaker 1: was advice. I think that's what it was. I think 472 00:25:47,560 --> 00:25:51,440 Speaker 1: it was called Weisa and it was the Welsh guy 473 00:25:52,560 --> 00:25:55,320 Speaker 1: kind of malugionisque. Actually, what's his name? The guy plays Batman. 474 00:25:55,960 --> 00:26:01,320 Speaker 1: He's a mallusion. I mean they spent Christian Bale play 475 00:26:01,359 --> 00:26:05,119 Speaker 1: in that movieh and that was like the Hollywood just 476 00:26:05,240 --> 00:26:08,240 Speaker 1: take down, like we're gonna crush Dick Cheney and all 477 00:26:08,280 --> 00:26:13,600 Speaker 1: these things. And now last week Kamala Harris is bragging 478 00:26:13,640 --> 00:26:16,959 Speaker 1: about Dick Cheney endorsing her. I just, I mean, the 479 00:26:17,000 --> 00:26:20,160 Speaker 1: world is so upside down. And we talked about this yesterday, 480 00:26:20,200 --> 00:26:24,880 Speaker 1: but we should follow up. The Teamsters decline to endorse 481 00:26:24,960 --> 00:26:29,160 Speaker 1: Kamala for the first time that they have not endorsed 482 00:26:29,280 --> 00:26:31,960 Speaker 1: a Democrat, I believe, going all the way back to. 483 00:26:32,000 --> 00:26:32,800 Speaker 2: Nineteen eighty eight. 484 00:26:33,240 --> 00:26:38,399 Speaker 1: Now their rank and file members are overwhelmingly voting Trump 485 00:26:38,480 --> 00:26:41,159 Speaker 1: based on the poll data they put out sixty forty. 486 00:26:41,760 --> 00:26:45,719 Speaker 1: But it feels like to me they should have endorsed Trump. 487 00:26:46,240 --> 00:26:49,000 Speaker 1: But they're trying to just basically say, well, we're not 488 00:26:49,119 --> 00:26:51,639 Speaker 1: going to make an endorsement, which is a win for Trump, 489 00:26:52,119 --> 00:26:56,320 Speaker 1: but the rank and file teamsters, primarily in the Midwest, 490 00:26:56,359 --> 00:27:00,520 Speaker 1: buck is a glaring sign of weakness for Kamala Harris 491 00:27:00,560 --> 00:27:05,080 Speaker 1: because they voted for Biden in twenty twenty one. Thing 492 00:27:05,080 --> 00:27:06,639 Speaker 1: that's going to be fun. Klay and I were just 493 00:27:06,640 --> 00:27:09,760 Speaker 1: discussing this in a commercial break there for a second. 494 00:27:09,880 --> 00:27:12,240 Speaker 1: I want you to hear this. Pelosi's out there making 495 00:27:12,280 --> 00:27:17,320 Speaker 1: this case that there wasn't that they didn't just annoint Kamala. 496 00:27:17,640 --> 00:27:21,199 Speaker 1: There was an open primary, she won, And this is 497 00:27:21,760 --> 00:27:25,760 Speaker 1: I truly, this is Soviet style rewriting of history. You know, 498 00:27:25,880 --> 00:27:28,360 Speaker 1: just so you know, in the Soviet Union, Stalin actually 499 00:27:28,400 --> 00:27:34,480 Speaker 1: had expert photo you know, refinishing or retouching people. Because 500 00:27:34,480 --> 00:27:37,119 Speaker 1: when they would liquidate people who were in photos with Stalin, 501 00:27:37,200 --> 00:27:39,640 Speaker 1: you know this clay, they would remove them, They would. 502 00:27:39,440 --> 00:27:42,200 Speaker 2: Remove them from the photos. Yeah, this is a real 503 00:27:42,400 --> 00:27:43,960 Speaker 2: exist them. 504 00:27:44,200 --> 00:27:46,679 Speaker 1: They would erase you from the public record because obviously 505 00:27:46,680 --> 00:27:49,199 Speaker 1: there's no internet. So like, oh, you're in photos with Stalin, 506 00:27:49,720 --> 00:27:51,879 Speaker 1: you got executed. I got our movie from the photo. 507 00:27:52,840 --> 00:27:57,040 Speaker 1: Soviet Soviet mindset rewriting of history going on by Democrats 508 00:27:57,040 --> 00:28:00,400 Speaker 1: when it comes to Kamala Here's here's Pelosi saying, oh, yeah, 509 00:28:00,440 --> 00:28:01,440 Speaker 1: she won the primary. 510 00:28:01,480 --> 00:28:04,960 Speaker 3: What you had reportedly said you wanted a sort of 511 00:28:05,000 --> 00:28:08,800 Speaker 3: an open primary. When if Joe Biden stepped down, did 512 00:28:09,400 --> 00:28:13,359 Speaker 3: you change your mind because you saw all the excitement 513 00:28:13,400 --> 00:28:14,720 Speaker 3: around Kamala Harris. 514 00:28:15,680 --> 00:28:17,360 Speaker 4: No, I didn't change my mind. We had an open 515 00:28:17,400 --> 00:28:19,560 Speaker 4: primary and she won it. Nobody else got in the 516 00:28:19,640 --> 00:28:24,960 Speaker 4: race because she was politically a student, and that was 517 00:28:25,040 --> 00:28:27,760 Speaker 4: the part. Let's show our talent. We have a great 518 00:28:27,880 --> 00:28:31,240 Speaker 4: bench of all these great people in the country, and 519 00:28:32,400 --> 00:28:36,840 Speaker 4: she just the president endorsed her. And that's a big 520 00:28:36,880 --> 00:28:42,160 Speaker 4: deal because Joe Biden's most consequential president of modern times. 521 00:28:43,280 --> 00:28:47,320 Speaker 1: Nancy Pelosi truly lives in an alternate universe. I mean, 522 00:28:47,360 --> 00:28:50,800 Speaker 1: I understand she's been able to acquire and wield power 523 00:28:50,840 --> 00:28:53,560 Speaker 1: effectively for the left into the tremendous detriment of the 524 00:28:53,640 --> 00:28:57,880 Speaker 1: United States for many years, but she is like her 525 00:28:57,920 --> 00:29:01,800 Speaker 1: mind is actually on some other reality. Clay, Kamala Harris 526 00:29:01,800 --> 00:29:03,880 Speaker 1: clearly didn't win a primary. I don't know what do 527 00:29:03,880 --> 00:29:06,560 Speaker 1: you even think she's saying? Joe Biden is the most consonant, 528 00:29:06,680 --> 00:29:12,000 Speaker 1: so Joe Biden's more consequential to a Democrat than Barack Obama. Really, Yeah, 529 00:29:12,120 --> 00:29:13,720 Speaker 1: she tried to argue, remember that he should be on 530 00:29:13,760 --> 00:29:18,520 Speaker 1: Mount Rushmore. Remember we played that audio like it was good. 531 00:29:18,960 --> 00:29:22,680 Speaker 1: I think that and favorite one of my favorite clips 532 00:29:22,680 --> 00:29:25,120 Speaker 1: from the DNC. Do you remember when they had the 533 00:29:25,200 --> 00:29:29,120 Speaker 1: video of Nancy Pelosi chanting we love Joe or whatever 534 00:29:29,160 --> 00:29:33,680 Speaker 1: it was, and like she was like dismissively doing it. She, 535 00:29:34,000 --> 00:29:36,520 Speaker 1: I think, to be fair, has been friends with Joe 536 00:29:36,560 --> 00:29:40,440 Speaker 1: Biden on some level. Again, political friends a lot of times, 537 00:29:40,480 --> 00:29:42,680 Speaker 1: bs like who knows whether they really like each other 538 00:29:42,760 --> 00:29:45,959 Speaker 1: or not, but they've been allies for forty years, and 539 00:29:46,040 --> 00:29:49,240 Speaker 1: it seems like she is desperate to try to repair 540 00:29:49,440 --> 00:29:52,920 Speaker 1: the rupture of their relationship such that she now is 541 00:29:53,000 --> 00:29:56,760 Speaker 1: going way over the top anytime she discusses Joe Biden's 542 00:29:56,760 --> 00:29:59,920 Speaker 1: political career. I also just I think it's worth no 543 00:30:00,280 --> 00:30:06,400 Speaker 1: clay if Kamala loses this election. Oh man, these so 544 00:30:06,600 --> 00:30:09,120 Speaker 1: many of these Democrats who were like, She's the greatest 545 00:30:09,200 --> 00:30:12,600 Speaker 1: candidate I've ever seen. She's amazing. They'll be like, oh, 546 00:30:13,040 --> 00:30:15,640 Speaker 1: I can't believe we got stuck with Kamala. She was terrible. 547 00:30:15,680 --> 00:30:16,160 Speaker 2: We all knew. 548 00:30:16,520 --> 00:30:19,840 Speaker 1: They will all admit that they all knew she was terrible. 549 00:30:19,920 --> 00:30:24,480 Speaker 1: The level of dishonesty here is mind blowing. Also, think 550 00:30:24,480 --> 00:30:28,640 Speaker 1: about Kamala's future. She is either going to somehow get 551 00:30:28,680 --> 00:30:31,680 Speaker 1: elected president and be an awful president. But she'll get 552 00:30:31,720 --> 00:30:34,560 Speaker 1: elected president be the first woman. It'll be a big deal. 553 00:30:34,680 --> 00:30:40,800 Speaker 1: She'll echo throughout history sadly or buck they're gonna kick 554 00:30:40,840 --> 00:30:44,080 Speaker 1: her to the curb like Michael Decaccus. She'll end up 555 00:30:44,160 --> 00:30:47,719 Speaker 1: like the president of the University of California or something 556 00:30:47,800 --> 00:30:49,800 Speaker 1: like that. That's a great gig. She'll make a million 557 00:30:49,880 --> 00:30:51,680 Speaker 1: dollars a year to go to cocktail parties. What do 558 00:30:51,760 --> 00:30:55,120 Speaker 1: I get? I disagree, she won't have a huge political future, 559 00:30:55,120 --> 00:30:57,920 Speaker 1: but they'll take very good Kamala's going to be richer 560 00:30:57,960 --> 00:31:00,720 Speaker 1: than she currently is, and she's already rich by the way. Yeah, 561 00:31:00,720 --> 00:31:03,040 Speaker 1: but they're just gonna shunt her off to the side 562 00:31:03,280 --> 00:31:07,360 Speaker 1: and completely hide her. Or she's going to be famous 563 00:31:07,360 --> 00:31:09,680 Speaker 1: for hundreds of years like this is. I mean, think 564 00:31:09,680 --> 00:31:13,320 Speaker 1: about the twist here. If she wins, like as crazy 565 00:31:13,320 --> 00:31:16,040 Speaker 1: as it is, hundreds of years from now, she'll be 566 00:31:16,120 --> 00:31:18,080 Speaker 1: on I can't believe this is real, but all the 567 00:31:18,120 --> 00:31:21,520 Speaker 1: pictures of the presidents. She'll be the first woman ever elected. 568 00:31:21,960 --> 00:31:24,840 Speaker 1: Hundreds of years from now, long after we're all dead, 569 00:31:24,880 --> 00:31:27,520 Speaker 1: people will be talking about Kamala Harris and her historic 570 00:31:27,600 --> 00:31:32,400 Speaker 1: presidency or buck. Nobody is going to remember her name 571 00:31:32,440 --> 00:31:35,280 Speaker 1: at all, and they're gonna put her as, you know, 572 00:31:35,320 --> 00:31:39,520 Speaker 1: the president of some California university, whereas Trump's going to 573 00:31:39,560 --> 00:31:41,560 Speaker 1: be a historic figure for a long time because he 574 00:31:41,680 --> 00:31:44,920 Speaker 1: was a president. Regardless of what happens here, the swing 575 00:31:45,080 --> 00:31:49,719 Speaker 1: on potential outcomes for Kamala Harris's narrative right now is 576 00:31:49,920 --> 00:31:52,800 Speaker 1: off the charts wild. Yeah. I mean, does anyone remember 577 00:31:52,880 --> 00:31:55,720 Speaker 1: John Nance Garner? I mean, if FDR had gotten a 578 00:31:55,760 --> 00:31:58,040 Speaker 1: really bad cold, you might remember him. But you know 579 00:31:58,440 --> 00:32:01,000 Speaker 1: that was the bottle of warm spit, right he said, 580 00:32:01,000 --> 00:32:04,520 Speaker 1: the MVP. That's the only thing I know about. Yeah. Well, well, well, 581 00:32:05,320 --> 00:32:09,040 Speaker 1: like amateur presidential historian Clay remembers this guy, but like 582 00:32:09,120 --> 00:32:12,160 Speaker 1: no normal person out there is like throwing out John 583 00:32:12,240 --> 00:32:15,040 Speaker 1: Nance Garner's name. No, there's a ton I mean, she 584 00:32:15,120 --> 00:32:18,360 Speaker 1: will be she will be relegated to the dustbin of history, 585 00:32:18,640 --> 00:32:21,800 Speaker 1: or she will be famous for hundreds of years based 586 00:32:21,840 --> 00:32:24,760 Speaker 1: on what happens in about forty five days I'm impressed 587 00:32:24,760 --> 00:32:26,480 Speaker 1: you just pulled out the bucket. I gotta say a 588 00:32:26,520 --> 00:32:28,400 Speaker 1: little golf clap for you. There, bucket a warm spit 589 00:32:28,520 --> 00:32:31,400 Speaker 1: on the fly you just knew I you know, which 590 00:32:31,440 --> 00:32:33,880 Speaker 1: I think, by the way, was edited. I'm gonna make 591 00:32:33,920 --> 00:32:35,720 Speaker 1: myself even more of a history nerd. I think he 592 00:32:35,760 --> 00:32:38,200 Speaker 1: actually said it was a bucket of warm piss, but 593 00:32:38,360 --> 00:32:40,959 Speaker 1: you couldn't say the word piss back then, so they 594 00:32:41,040 --> 00:32:41,840 Speaker 1: changed it to spit. 595 00:32:42,080 --> 00:32:44,080 Speaker 2: So I think there's a dispute about which oney press. 596 00:32:44,440 --> 00:32:48,440 Speaker 1: Impressed by her historical knowledge, Bill Malugin just saying, well, 597 00:32:48,920 --> 00:32:52,360 Speaker 1: he is a dreamy man. Uh yeah to Mekin of history. 598 00:32:52,880 --> 00:32:55,600 Speaker 1: Ever wish you could be like Rodney Dangerfield and go 599 00:32:55,680 --> 00:32:58,880 Speaker 1: back to school. Hillsdale College makes it possible on the 600 00:32:58,960 --> 00:33:03,480 Speaker 1: Hillsdale College Podcast Network. Content and quality of Hillsdale's podcast, 601 00:33:03,560 --> 00:33:08,239 Speaker 1: including one hosted by their college president, doctor Larry arn Our, 602 00:33:08,360 --> 00:33:08,960 Speaker 1: top notch. 603 00:33:09,120 --> 00:33:10,560 Speaker 2: In fact, I got. 604 00:33:10,360 --> 00:33:12,880 Speaker 1: To meet doctor arn sit with him in Seattle at 605 00:33:12,880 --> 00:33:16,320 Speaker 1: one of their Hillsdale College events. It was absolutely fantastic. 606 00:33:16,680 --> 00:33:19,040 Speaker 1: I told him then, Man, I would be very happy 607 00:33:19,080 --> 00:33:20,880 Speaker 1: if one of my kids, or more than one of 608 00:33:20,920 --> 00:33:23,040 Speaker 1: my kids, ended up one day at Hillsdale based on 609 00:33:23,080 --> 00:33:25,480 Speaker 1: the education they give. And I got to tell you 610 00:33:25,560 --> 00:33:28,720 Speaker 1: the Hillsdale College Podcast Network one of many ways our 611 00:33:28,720 --> 00:33:32,280 Speaker 1: friends at Hillsdale are defending liberty on the battlefield of education. 612 00:33:32,840 --> 00:33:36,360 Speaker 1: They're so good at outreach, whether it's the monthly speech publication, 613 00:33:36,600 --> 00:33:40,360 Speaker 1: free online on demand video courses, whatever it is. You 614 00:33:40,400 --> 00:33:44,040 Speaker 1: can find a new favorite podcast today from Hillsdale on 615 00:33:44,120 --> 00:33:49,400 Speaker 1: the Hillsdale College Podcast Network at clayandbuckfour Hillsdale dot com. Again, 616 00:33:49,920 --> 00:33:52,880 Speaker 1: all major podcast platforms you can find it. Check it 617 00:33:52,920 --> 00:33:56,840 Speaker 1: out clayandbuckfour Hillsdale dot com. 618 00:33:57,320 --> 00:34:00,800 Speaker 5: Sometimes all you can do is last and they do 619 00:34:00,880 --> 00:34:04,160 Speaker 5: a lot of it with the Sunday hang Join Clay 620 00:34:04,160 --> 00:34:06,720 Speaker 5: and Buck as they laugh it up in the Klay 621 00:34:06,720 --> 00:34:09,920 Speaker 5: and Buck podcast feed, on the iHeartRadio app or wherever 622 00:34:10,000 --> 00:34:11,200 Speaker 5: you get your podcasts. 623 00:34:11,800 --> 00:34:14,160 Speaker 1: You know, sometimes we get it still. I'm sorry, Clay, 624 00:34:14,160 --> 00:34:15,880 Speaker 1: I just jumped in. You're supposed to jump in. I 625 00:34:15,960 --> 00:34:18,279 Speaker 1: just he's just said this to me. I have reminded of 626 00:34:18,320 --> 00:34:21,560 Speaker 1: reading this this morning, A fun, silly story. But this 627 00:34:22,360 --> 00:34:27,120 Speaker 1: zoo in China. I just waited the video. If people 628 00:34:27,160 --> 00:34:28,719 Speaker 1: want to look at it, we'll put it up. It's 629 00:34:28,800 --> 00:34:31,640 Speaker 1: very funny. If you need a laugh. They've put these. 630 00:34:31,840 --> 00:34:36,280 Speaker 1: They put dogs painted like panda bears in an enclosure 631 00:34:36,320 --> 00:34:39,040 Speaker 1: and said that they were panda bears. And now people 632 00:34:39,080 --> 00:34:43,080 Speaker 1: finally figured out because the pandas were barking like dogs, 633 00:34:43,520 --> 00:34:45,920 Speaker 1: that they aren't in fact pandas. Anyway, I thought this 634 00:34:46,000 --> 00:34:47,640 Speaker 1: was a fun one. It seems like kind of a 635 00:34:47,680 --> 00:34:49,759 Speaker 1: flaw might have been noticed. Wait a minute, what if 636 00:34:49,800 --> 00:34:54,920 Speaker 1: the dogs bark? They are really really funny. By the way, 637 00:34:54,960 --> 00:34:57,560 Speaker 1: you get your Crocketcoffee dot Com right now, and let 638 00:34:57,560 --> 00:35:00,799 Speaker 1: me read some of these. Yesterday, speaking of funny, you 639 00:35:00,800 --> 00:35:04,600 Speaker 1: guys have been deluging us with absolutely hysterical emails. In 640 00:35:04,640 --> 00:35:08,480 Speaker 1: the VIP, Jim says, all this Bill Malugin talk from 641 00:35:08,520 --> 00:35:12,240 Speaker 1: Clay has me thinking that he's a closet flute player. 642 00:35:12,560 --> 00:35:18,080 Speaker 1: That's that's very funny, very well played. Pierce says, Hey, 643 00:35:18,120 --> 00:35:21,640 Speaker 1: Clay and Buck, I'm one of the rare gay conservatives. 644 00:35:22,080 --> 00:35:25,719 Speaker 1: I must corroborate Clay's take. Bill Malugin as hot as hell. 645 00:35:26,120 --> 00:35:28,280 Speaker 1: I don't watch TV news at all because it drives 646 00:35:28,360 --> 00:35:31,000 Speaker 1: me bonkers, so I'd actually never heard of him before 647 00:35:31,120 --> 00:35:33,799 Speaker 1: I looked him up online. What show is he on? 648 00:35:34,160 --> 00:35:36,200 Speaker 1: I might have to give Fox another try if they've 649 00:35:36,239 --> 00:35:41,640 Speaker 1: got icon eye candy like that. I mean, these are 650 00:35:41,880 --> 00:35:48,560 Speaker 1: these are really hysterical emails. Anyway, I appreciate all of 651 00:35:48,600 --> 00:35:52,640 Speaker 1: you reacting. Bill Malugin may come on the show potentially tomorrow. 652 00:35:53,080 --> 00:35:56,759 Speaker 1: I'll do my best to contain myself if you want 653 00:35:56,800 --> 00:35:59,839 Speaker 1: to laugh. In addition to the dog disguised as pan 654 00:36:00,120 --> 00:36:03,160 Speaker 1: is in the Chinese zoo, which is very, very funny, 655 00:36:03,280 --> 00:36:06,520 Speaker 1: I tweeted about the Bill Malujin discussion yesterday on the show. 656 00:36:07,239 --> 00:36:10,520 Speaker 1: Your comments in response to that are a gold mine 657 00:36:10,680 --> 00:36:11,840 Speaker 1: at Clay Travis. 658 00:36:12,360 --> 00:36:14,680 Speaker 2: You can go check that out. I appreciate all of you. 659 00:36:14,760 --> 00:36:17,799 Speaker 1: We gotta laugh because God knows the next forty five 660 00:36:17,880 --> 00:36:19,320 Speaker 1: days are going to be stressful. 661 00:36:19,360 --> 00:36:21,040 Speaker 2: We got to have some humor along the way. 662 00:36:21,960 --> 00:36:24,120 Speaker 1: Did we say, by the way, who the guests are today? 663 00:36:24,280 --> 00:36:27,440 Speaker 1: I think you did, Michael Wattley and Matt Walsh. One 664 00:36:27,440 --> 00:36:31,279 Speaker 1: of the battlegrounds is North Carolina. Buck Whattley was in 665 00:36:31,400 --> 00:36:35,040 Speaker 1: North Carolina, very involved in the race in twenty twenty. 666 00:36:35,280 --> 00:36:37,320 Speaker 1: We'll find out from him what he thinks about twenty 667 00:36:37,360 --> 00:36:40,439 Speaker 1: twenty four. And also, so many of you out there 668 00:36:40,480 --> 00:36:43,560 Speaker 1: are worried about the twenty twenty four election being rigged. 669 00:36:43,880 --> 00:36:46,480 Speaker 1: That's why we want to talk with Michael Wottley. If 670 00:36:46,520 --> 00:36:49,279 Speaker 1: you're concerned about that, bottom of the next hour, we'll 671 00:36:49,320 --> 00:36:50,759 Speaker 1: dive into those details with him. 672 00:36:50,920 --> 00:36:51,919 Speaker 2: Thanks for hanging with me.