1 00:00:00,280 --> 00:00:04,000 Speaker 1: Welcome in Tuesday edition Clay Travis buck Sexton Show. We 2 00:00:04,040 --> 00:00:07,000 Speaker 1: appreciate all of you hanging out with us. It is 3 00:00:07,160 --> 00:00:12,760 Speaker 1: debate Day, nine pm Eastern, six pm on the West Coast, 4 00:00:12,960 --> 00:00:18,160 Speaker 1: Donald Trump versus Kamala Harris from Philadelphia, perhaps the only 5 00:00:18,239 --> 00:00:22,520 Speaker 1: debate the two of them will have all throughout the season. 6 00:00:22,680 --> 00:00:28,480 Speaker 1: We are exactly eight weeks from election day today. That is, 7 00:00:28,520 --> 00:00:32,560 Speaker 1: if my math is right, fifty six days away. Many 8 00:00:32,600 --> 00:00:35,240 Speaker 1: of you will be able to vote in a month 9 00:00:35,400 --> 00:00:38,720 Speaker 1: or less, depending on what community you are in. It 10 00:00:38,800 --> 00:00:44,000 Speaker 1: is officially go time. We will dive into what we 11 00:00:44,159 --> 00:00:48,320 Speaker 1: believe are the biggest and most important aspects of the debate. 12 00:00:48,400 --> 00:00:51,680 Speaker 1: Certainly we'll be breaking it all down for you tomorrow. 13 00:00:51,800 --> 00:00:56,760 Speaker 1: In earnest poles have begun to turn against Kamala Harris. 14 00:00:57,040 --> 00:00:59,760 Speaker 1: The analogy that I would make since football season is 15 00:00:59,760 --> 00:01:04,440 Speaker 1: here is Donald Trump has the ball. He is winning. 16 00:01:05,200 --> 00:01:08,080 Speaker 1: He can run out the clock by simply running off 17 00:01:08,160 --> 00:01:11,840 Speaker 1: tackle and putting together a couple of first downs. Will 18 00:01:11,920 --> 00:01:14,480 Speaker 1: see whether or not he is able to do so 19 00:01:15,360 --> 00:01:18,360 Speaker 1: again nine pm Eastern. I know almost all of you 20 00:01:18,480 --> 00:01:22,240 Speaker 1: will be watching to see what we get. And while 21 00:01:22,280 --> 00:01:25,640 Speaker 1: there's lots of discussions about what version of Trump we 22 00:01:25,760 --> 00:01:28,399 Speaker 1: will get. To be fair, he was awful. I think 23 00:01:28,440 --> 00:01:31,640 Speaker 1: he acknowledges this in the first debate that he had 24 00:01:31,760 --> 00:01:36,319 Speaker 1: against Joe Biden. He was much better in the second debate. 25 00:01:36,480 --> 00:01:40,760 Speaker 1: He obviously knocked out Joe Biden on June twenty seventh, 26 00:01:40,800 --> 00:01:44,160 Speaker 1: in the first debate of this presidential cycle. We will 27 00:01:44,160 --> 00:01:48,040 Speaker 1: see how he does against Kamala Harris. But I do 28 00:01:48,120 --> 00:01:50,600 Speaker 1: think Buck, we have to spend a little bit of 29 00:01:50,640 --> 00:01:53,960 Speaker 1: time to start off the show today just reiterating for 30 00:01:54,080 --> 00:01:59,040 Speaker 1: you how crazy far left wing Kamala Harris really is. 31 00:01:59,600 --> 00:02:03,360 Speaker 1: And they keep finding more and more receipts from her 32 00:02:03,440 --> 00:02:08,440 Speaker 1: failed twenty twenty presidential campaign, where everyone was competing to 33 00:02:08,520 --> 00:02:12,880 Speaker 1: be the furthest left wing they could possibly be with frankly, 34 00:02:13,120 --> 00:02:16,560 Speaker 1: almost the exception of Joe Biden, everybody else was trying 35 00:02:16,560 --> 00:02:18,960 Speaker 1: to get to the left of Bernie Sanders because they 36 00:02:18,960 --> 00:02:21,760 Speaker 1: thought that was the pathway to end up being the nominee. 37 00:02:22,320 --> 00:02:25,200 Speaker 1: And as part of an ACLU I believe it was 38 00:02:25,680 --> 00:02:29,640 Speaker 1: a written survey see an end of their credit went 39 00:02:29,720 --> 00:02:33,680 Speaker 1: back and tracked down these answers. Kamala Harris was asked 40 00:02:33,680 --> 00:02:38,000 Speaker 1: about whether or not she believed in sex change operations 41 00:02:38,080 --> 00:02:43,640 Speaker 1: paid for by taxpayers for illegal immigrants. It sounds like 42 00:02:43,760 --> 00:02:48,040 Speaker 1: mad lib crazy liberal perspective. And she was asked about 43 00:02:48,200 --> 00:02:53,000 Speaker 1: drug possession. She said yes on sex changes, and she 44 00:02:53,160 --> 00:02:56,480 Speaker 1: said that you should be able to possess crack, fentanyl, 45 00:02:56,840 --> 00:03:01,760 Speaker 1: whatever drug you wanted. She was in favor of decriminalizing possession. 46 00:03:02,480 --> 00:03:06,120 Speaker 1: That really happened. Aaron Burnett, the host of the CNN 47 00:03:06,160 --> 00:03:10,400 Speaker 1: show on which this report was shared, even herself, seems 48 00:03:10,639 --> 00:03:14,720 Speaker 1: staggered by the implications and the fact that Kamala Harris 49 00:03:14,720 --> 00:03:18,480 Speaker 1: did not really in her campaign have any explanation for 50 00:03:18,840 --> 00:03:23,000 Speaker 1: these insanely far left wing policies. I want to give 51 00:03:23,040 --> 00:03:25,640 Speaker 1: CNN credit something we don't say often on this show. 52 00:03:25,880 --> 00:03:28,480 Speaker 1: This is what it sounded like last night on Aaron Burnett. 53 00:03:28,520 --> 00:03:29,760 Speaker 1: As that was all laid out. 54 00:03:29,720 --> 00:03:32,960 Speaker 2: On immigration, she made this open ended pledge to end 55 00:03:33,200 --> 00:03:38,000 Speaker 2: immigrant attention. She said she supported taxpayer funded gender transition 56 00:03:38,120 --> 00:03:39,560 Speaker 2: surgeries for detained migrants. 57 00:03:39,600 --> 00:03:40,760 Speaker 3: She also said she's. 58 00:03:40,560 --> 00:03:43,880 Speaker 1: A pair funded gender transition surgeries for detainment change Mike. 59 00:03:43,880 --> 00:03:45,520 Speaker 3: She actually said she supported. 60 00:03:45,280 --> 00:03:49,320 Speaker 2: She wrote both wrote and answered in the affirmative when 61 00:03:49,360 --> 00:03:51,800 Speaker 2: she was asked this, and she said she also supported 62 00:03:51,800 --> 00:03:54,920 Speaker 2: it for federal prisoners now. She also pledged to slash 63 00:03:55,360 --> 00:03:59,000 Speaker 2: immigration detention five to fifty percent, close all family and 64 00:03:59,080 --> 00:04:01,840 Speaker 2: private facilities, and decrease funding for ICE and then the. 65 00:04:04,200 --> 00:04:08,120 Speaker 3: ICE detainers with local law enforcement. Okay. 66 00:04:08,160 --> 00:04:11,800 Speaker 1: She also buck said that she would end all criminal 67 00:04:11,800 --> 00:04:16,960 Speaker 1: penalties for having crack and finnel, among other things. This 68 00:04:17,200 --> 00:04:23,039 Speaker 1: is crazy town even for Democrats. What's your reaction here 69 00:04:23,120 --> 00:04:25,480 Speaker 1: when you see this coming out, not only coming out, 70 00:04:25,520 --> 00:04:29,279 Speaker 1: but CNN being the one to cover it. Kamala Harris 71 00:04:29,320 --> 00:04:31,680 Speaker 1: is a far left radical who would have no chance 72 00:04:32,000 --> 00:04:38,200 Speaker 1: of winning any nationwide election without the media being willing 73 00:04:38,279 --> 00:04:42,840 Speaker 1: to completely cover for her, live for her, carry water 74 00:04:42,960 --> 00:04:46,799 Speaker 1: for her, do everything that they think that is possible, 75 00:04:46,839 --> 00:04:50,599 Speaker 1: really to create an image of somebody that's just not 76 00:04:50,680 --> 00:04:54,760 Speaker 1: based in reality. And when Kamala Harris has been when 77 00:04:54,800 --> 00:04:57,520 Speaker 1: she was asked about this very gently, I might add 78 00:04:57,520 --> 00:05:00,640 Speaker 1: by Dana Bash over at c recently. 79 00:05:00,720 --> 00:05:02,560 Speaker 3: Right, it wasn't a Dana Bash she was doing the interview. 80 00:05:02,680 --> 00:05:04,560 Speaker 3: That's right. They're all the same at CNN. It's all 81 00:05:04,880 --> 00:05:05,560 Speaker 3: blends together. 82 00:05:06,480 --> 00:05:10,039 Speaker 4: Remember, she kept saying, my principles haven't changed, which I 83 00:05:10,040 --> 00:05:13,080 Speaker 4: thought was interesting because I don't think Kamala Harris actually 84 00:05:13,080 --> 00:05:15,640 Speaker 4: has any principles, at least not as a person in 85 00:05:15,640 --> 00:05:20,480 Speaker 4: public life. I think that she is a devotee of 86 00:05:20,600 --> 00:05:26,000 Speaker 4: power and of being around the powerful wielding power in 87 00:05:26,120 --> 00:05:29,000 Speaker 4: their name, and I think she's a vessel for the 88 00:05:29,000 --> 00:05:32,320 Speaker 4: Democrat machine. I do not believe that she actually really 89 00:05:32,400 --> 00:05:36,120 Speaker 4: believes in anything. And the fact and the way you 90 00:05:36,160 --> 00:05:38,640 Speaker 4: know this is that she took positions, Clay, and this 91 00:05:38,680 --> 00:05:42,880 Speaker 4: is what's coming up in that ACLU questionnaire segment they 92 00:05:42,880 --> 00:05:46,640 Speaker 4: did on CNN. She took positions that nobody would ever 93 00:05:46,760 --> 00:05:51,240 Speaker 4: think would play well nationally, right. I mean, you couldn't 94 00:05:51,240 --> 00:05:52,960 Speaker 4: think for a second that some of these things that 95 00:05:53,000 --> 00:05:55,640 Speaker 4: she was in now banning FRACKA mean, these are things 96 00:05:55,680 --> 00:05:59,440 Speaker 4: that somebody says if their plan when they say it 97 00:05:59,080 --> 00:06:01,200 Speaker 4: is to lie and said that I never said it, 98 00:06:01,279 --> 00:06:03,640 Speaker 4: or just changed their mind the moment they run up 99 00:06:03,640 --> 00:06:06,960 Speaker 4: against political resistance. This is why I have had a 100 00:06:07,880 --> 00:06:10,520 Speaker 4: dare I say it, a quiet and cool confidence about 101 00:06:10,520 --> 00:06:14,560 Speaker 4: Trump's future here ever since Kamala became the nominee, which 102 00:06:14,640 --> 00:06:18,279 Speaker 4: always factored into my assessment of why Joe Biden had 103 00:06:18,880 --> 00:06:21,840 Speaker 4: I know, the debate disaster happened, but why Biden was 104 00:06:21,880 --> 00:06:24,360 Speaker 4: actually a better play, a safer play in many ways 105 00:06:24,760 --> 00:06:28,400 Speaker 4: than Kamala Harris. Not only does she lack the political 106 00:06:28,440 --> 00:06:31,080 Speaker 4: skills we talked about that yesterday that you've had in 107 00:06:31,080 --> 00:06:36,320 Speaker 4: some other politicians, particularly some other Democrat politicians in recent cycles, 108 00:06:36,880 --> 00:06:40,960 Speaker 4: she also is somebody who can't really claim to stand 109 00:06:41,000 --> 00:06:45,520 Speaker 4: for anything other than whatever works in the moment. And 110 00:06:45,960 --> 00:06:51,120 Speaker 4: I think that that lack of authenticity, coupled with the 111 00:06:51,200 --> 00:06:54,760 Speaker 4: lack of authenticity that she exudes when she's just talking 112 00:06:54,760 --> 00:06:57,920 Speaker 4: to people, right, I mean, she comes across as inauthentic, 113 00:06:58,520 --> 00:07:03,360 Speaker 4: and her political program, you know, her platform, whatever you 114 00:07:03,440 --> 00:07:07,320 Speaker 4: want to call it, is also deeply anauthentic because she 115 00:07:07,360 --> 00:07:09,960 Speaker 4: doesn't really care, well, what works. What do you need 116 00:07:10,000 --> 00:07:13,720 Speaker 4: me to say? That's what Kamala will say. So I 117 00:07:13,760 --> 00:07:16,960 Speaker 4: think that this is tonight. You know, you're gonna see 118 00:07:17,000 --> 00:07:19,440 Speaker 4: a lot of dancing. Remember even Gavin Newsom when he 119 00:07:19,480 --> 00:07:22,679 Speaker 4: debated Ron DeSantis, he did a lot. 120 00:07:22,480 --> 00:07:25,000 Speaker 3: Of oh, bud, you know, just I'm just gonna talk 121 00:07:25,000 --> 00:07:29,120 Speaker 3: in circles here and be handsome. Didn't work. People saw it, 122 00:07:29,280 --> 00:07:31,240 Speaker 3: and I think they'll see through Kamala Harris tonight. 123 00:07:32,200 --> 00:07:35,600 Speaker 1: To be fair, Hannity was fact checking Gavin Newsom in 124 00:07:35,720 --> 00:07:39,200 Speaker 1: real time and calling out his lies, and I think 125 00:07:39,240 --> 00:07:42,120 Speaker 1: that really rattled Gavin Newsom. The facts weren't on his 126 00:07:42,240 --> 00:07:45,160 Speaker 1: side and they were shown to him. I do think 127 00:07:45,240 --> 00:07:46,960 Speaker 1: this really cuts through the noise. 128 00:07:47,000 --> 00:07:47,240 Speaker 3: Buck. 129 00:07:47,720 --> 00:07:52,360 Speaker 1: If Trump says to Kamala Harris, in addition to wanting 130 00:07:52,400 --> 00:07:57,320 Speaker 1: to leave the border wide open, you believed that we 131 00:07:57,400 --> 00:08:01,480 Speaker 1: should be paying taxpayer American payers should be paying for 132 00:08:01,560 --> 00:08:08,000 Speaker 1: sex change surgery for illegal immigrants, that is Banana Land crazy. 133 00:08:08,800 --> 00:08:12,360 Speaker 1: And let me give you a line here, Buck. If 134 00:08:12,440 --> 00:08:15,920 Speaker 1: Trump wanted to take control of this debate early. This 135 00:08:16,000 --> 00:08:19,240 Speaker 1: came from an emailer and it's actually an incredible suggestion, 136 00:08:20,040 --> 00:08:24,520 Speaker 1: and I forwarded it to the Trump team. Buck, what 137 00:08:24,640 --> 00:08:29,000 Speaker 1: if Trump, in his opening response, said, I want to 138 00:08:29,000 --> 00:08:31,640 Speaker 1: do something that's going to really stun everybody here today. 139 00:08:32,040 --> 00:08:35,320 Speaker 1: I want to thank Kamala Harris. I want to thank you, 140 00:08:35,440 --> 00:08:39,800 Speaker 1: Kamala for me being alive today, because if you hadn't 141 00:08:39,800 --> 00:08:42,920 Speaker 1: been such a disaster at the border, and I hadn't 142 00:08:42,960 --> 00:08:45,440 Speaker 1: turned my head to look at the graphic of all 143 00:08:45,480 --> 00:08:48,440 Speaker 1: of the illegal immigrants that you have allowed into this country, 144 00:08:49,080 --> 00:08:51,720 Speaker 1: I would have been murdered by an assassin on July 145 00:08:51,840 --> 00:08:55,560 Speaker 1: thirteenth in Butler, Pennsylvania. The only reason I'm alive today 146 00:08:55,880 --> 00:08:57,560 Speaker 1: is because you did such a bad job at the 147 00:08:57,600 --> 00:08:59,400 Speaker 1: Border that I had to turn and look at that 148 00:08:59,480 --> 00:09:03,079 Speaker 1: graphic the exact moment that guy fired a bullet. I 149 00:09:04,000 --> 00:09:06,280 Speaker 1: think that it would be like a holy crap moment 150 00:09:06,400 --> 00:09:07,280 Speaker 1: right off the top. 151 00:09:07,720 --> 00:09:08,280 Speaker 3: You know this. 152 00:09:08,679 --> 00:09:12,120 Speaker 1: So much of the tone of a debate is set 153 00:09:12,200 --> 00:09:14,640 Speaker 1: in the first five minutes, and a lot of people 154 00:09:14,679 --> 00:09:16,720 Speaker 1: tune in for the first five or ten minutes and 155 00:09:16,760 --> 00:09:19,640 Speaker 1: then they kind of get everything gets all the noise 156 00:09:19,720 --> 00:09:21,480 Speaker 1: kind of gets in your head and you can't keep 157 00:09:21,559 --> 00:09:24,440 Speaker 1: up with it all. This is an average viewer. I 158 00:09:24,480 --> 00:09:27,000 Speaker 1: think if he came out with a punchy line like that, 159 00:09:27,000 --> 00:09:29,680 Speaker 1: that ties her directly to the failures at the Border, 160 00:09:30,000 --> 00:09:33,840 Speaker 1: sex change operations. Things like that. He sets the tone. 161 00:09:34,440 --> 00:09:37,800 Speaker 1: It's like hitting a big punch early in a boxing match. 162 00:09:38,240 --> 00:09:40,280 Speaker 1: And I think a lot of people would resonate. And 163 00:09:40,320 --> 00:09:42,000 Speaker 1: here's the other thing about these debates, and you know it, 164 00:09:42,040 --> 00:09:44,560 Speaker 1: and I think this was the Biden team what they 165 00:09:44,600 --> 00:09:48,240 Speaker 1: found out. Biden got knocked out on June twenty seventh, 166 00:09:48,800 --> 00:09:52,959 Speaker 1: but we kept watching the clips four weeks. It's not 167 00:09:53,160 --> 00:09:56,800 Speaker 1: just what's said, it's what goes viral and what clips 168 00:09:56,840 --> 00:10:00,720 Speaker 1: echo through social media and solidify the opinion of what 169 00:10:00,880 --> 00:10:03,360 Speaker 1: was said. Because most people are going to watch all 170 00:10:03,440 --> 00:10:06,200 Speaker 1: ninety minutes. Everyone in America is going to see at 171 00:10:06,280 --> 00:10:09,480 Speaker 1: least one thirty or sixty second clip. What are those 172 00:10:09,640 --> 00:10:13,320 Speaker 1: distilled moments and how do they capture the zeigists. It's 173 00:10:13,320 --> 00:10:15,959 Speaker 1: not just the debate anymore, it's the echo of the 174 00:10:16,040 --> 00:10:20,200 Speaker 1: viral clips for weeks after. I think that we can 175 00:10:20,240 --> 00:10:25,360 Speaker 1: all expect that ABC is going to be favorable toward Kamala. 176 00:10:26,080 --> 00:10:29,679 Speaker 1: They can't make it too obvious because then that's counterproductive 177 00:10:29,720 --> 00:10:32,559 Speaker 1: for them. But I think that ABC will show us 178 00:10:33,040 --> 00:10:36,839 Speaker 1: a different a slightly different approach than what cen END did, 179 00:10:36,880 --> 00:10:40,720 Speaker 1: even where they decided for once, let's have a pretty neutral, 180 00:10:41,080 --> 00:10:43,160 Speaker 1: pretty neutral monitoring, and End did a good job. 181 00:10:43,559 --> 00:10:45,840 Speaker 3: You know, there was nothing I would If. 182 00:10:45,760 --> 00:10:48,040 Speaker 4: There was anything I found objectionable in the way Sin 183 00:10:48,080 --> 00:10:49,720 Speaker 4: and moderated that debate, I would have said it. But 184 00:10:49,800 --> 00:10:51,440 Speaker 4: I didn't see anything that was a problem. I thought 185 00:10:51,440 --> 00:10:52,400 Speaker 4: all the questions were fair. 186 00:10:52,559 --> 00:10:53,040 Speaker 3: This is the thing. 187 00:10:53,200 --> 00:10:55,800 Speaker 4: It's possible to do that right. Yes, it's worth reminding. 188 00:10:56,080 --> 00:10:57,720 Speaker 4: You know, people say, oh, well they can't do you know, 189 00:10:58,440 --> 00:11:00,959 Speaker 4: everyone has a bias eye. I mean, you can come 190 00:11:01,040 --> 00:11:03,840 Speaker 4: close enough in a debate. You know, referees and sports 191 00:11:03,840 --> 00:11:05,959 Speaker 4: aren't perfect, but like they can get the major calls. 192 00:11:06,120 --> 00:11:08,839 Speaker 1: Should note in fact, if the game's well officiated, you 193 00:11:08,880 --> 00:11:11,080 Speaker 1: don't even notice who called the game. That's what the 194 00:11:11,120 --> 00:11:13,959 Speaker 1: best debate is. You shouldn't have the debate moderator be 195 00:11:14,000 --> 00:11:16,240 Speaker 1: a storyline at all. They should fade into the background 196 00:11:16,280 --> 00:11:17,920 Speaker 1: and it should be about the people on the stage. 197 00:11:18,280 --> 00:11:22,240 Speaker 4: And I do think that you'll see just the questions 198 00:11:22,280 --> 00:11:25,760 Speaker 4: will be more favorable to Kamala trying to get out 199 00:11:25,760 --> 00:11:26,800 Speaker 4: of the way maybe some of. 200 00:11:26,760 --> 00:11:28,559 Speaker 3: Her weaknesses or early on. 201 00:11:29,240 --> 00:11:31,719 Speaker 4: But look, she's not a good orator, she's not a 202 00:11:31,720 --> 00:11:36,760 Speaker 4: good public speaker, she is not smart on policy. She 203 00:11:38,040 --> 00:11:41,640 Speaker 4: really has very little to play here except some emotional 204 00:11:41,679 --> 00:11:45,600 Speaker 4: appeal of being a woman, being a minority. You know, 205 00:11:45,640 --> 00:11:49,440 Speaker 4: Trump is a big bad man. And abortion. 206 00:11:49,760 --> 00:11:53,280 Speaker 1: She's going to lean on abortion, every single abortion a lot. 207 00:11:53,800 --> 00:11:55,880 Speaker 4: You know, the single most important policy by far to 208 00:11:55,920 --> 00:11:58,960 Speaker 4: the Democrat party is the ability to kill babies in 209 00:11:58,960 --> 00:12:02,280 Speaker 4: the womb, and that is that'll be a part of it. 210 00:12:02,880 --> 00:12:06,000 Speaker 4: But I really do think that there's there's no way 211 00:12:06,040 --> 00:12:09,160 Speaker 4: she comes out of tonight looking great. I think her 212 00:12:09,200 --> 00:12:11,720 Speaker 4: team is just hoping that she can sort of keep 213 00:12:11,760 --> 00:12:15,560 Speaker 4: things status quo. In terms of if I'm Kamala Harris 214 00:12:15,800 --> 00:12:19,480 Speaker 4: and I come out of tonight's debate without a clear 215 00:12:19,600 --> 00:12:22,040 Speaker 4: gain of any kind for Trump, that's a win. 216 00:12:22,880 --> 00:12:26,199 Speaker 1: That's the best I see. I think she has. I 217 00:12:26,240 --> 00:12:29,600 Speaker 1: think she's losing, and I think she needs to win 218 00:12:30,000 --> 00:12:30,600 Speaker 1: or no debate. 219 00:12:31,160 --> 00:12:35,600 Speaker 4: I agree, but I'm saying she doesn't your expectation, your point, 220 00:12:35,720 --> 00:12:37,760 Speaker 4: so woe that the best she can hope for is 221 00:12:37,760 --> 00:12:39,920 Speaker 4: a draw. The best she can hope for his status 222 00:12:40,000 --> 00:12:42,480 Speaker 4: quo draw. Realistically in terms of public opinion and the 223 00:12:42,520 --> 00:12:44,839 Speaker 4: polling after this, Yeah, of course. I mean she'd love 224 00:12:44,920 --> 00:12:46,079 Speaker 4: to turn the momentum. 225 00:12:46,160 --> 00:12:46,319 Speaker 3: Right. 226 00:12:46,800 --> 00:12:50,800 Speaker 4: She is losing and she could be behind two or 227 00:12:50,800 --> 00:12:52,880 Speaker 4: three points after this in a way where everyone. 228 00:12:52,720 --> 00:12:56,120 Speaker 3: Goes, oh, this is not looking good. Correct. 229 00:12:56,280 --> 00:12:59,120 Speaker 1: I think the result of this one will not be 230 00:12:59,240 --> 00:13:01,800 Speaker 1: the knockout that we saw in June twenty seventh. I 231 00:13:01,840 --> 00:13:05,160 Speaker 1: believe both parties will turn and raise their gloves, and 232 00:13:05,200 --> 00:13:07,360 Speaker 1: the people who like Trump will say Trump one. 233 00:13:07,200 --> 00:13:10,559 Speaker 3: And people who like headline Kamala one. Clay Travis with 234 00:13:10,600 --> 00:13:13,800 Speaker 3: a bold prediction, Kamala Harris will do better than a 235 00:13:13,920 --> 00:13:16,800 Speaker 3: senile dementia riddle Joe Biden. 236 00:13:17,120 --> 00:13:19,800 Speaker 1: I would, I mean, that would be amazing to watch 237 00:13:19,840 --> 00:13:22,120 Speaker 1: if Kamala somehow was worse than Biden. 238 00:13:22,400 --> 00:13:23,439 Speaker 3: I don't know what she would. 239 00:13:23,520 --> 00:13:26,040 Speaker 1: I mean, she might probably have to collapse like faint, 240 00:13:26,760 --> 00:13:29,040 Speaker 1: you know, when she gets asked about sex change operations 241 00:13:29,040 --> 00:13:31,280 Speaker 1: for migrants. I don't even know how she could hardly 242 00:13:31,360 --> 00:13:36,079 Speaker 1: be worse. But again, if I'm advising Trump, it is economy, 243 00:13:36,120 --> 00:13:40,560 Speaker 1: border crime, just perry an attack, and I will say, 244 00:13:40,800 --> 00:13:43,880 Speaker 1: don't follow her down the rabbit hole. Don't go down 245 00:13:43,960 --> 00:13:46,640 Speaker 1: the rabbit hole with whatever argument she wants to make. 246 00:13:46,720 --> 00:13:48,560 Speaker 1: He did that a little bit with Biden, remember when 247 00:13:48,559 --> 00:13:50,920 Speaker 1: they started arguing over how history was going to judge 248 00:13:50,960 --> 00:13:53,760 Speaker 1: their presidencies. And I'm like, no one ever says that 249 00:13:53,800 --> 00:13:56,160 Speaker 1: a Republican did a good job. Don't argue about what 250 00:13:56,280 --> 00:14:00,080 Speaker 1: historians think. Just kind of stay on the issues, and 251 00:14:00,080 --> 00:14:01,280 Speaker 1: if he can, he's gonna win. 252 00:14:01,800 --> 00:14:03,560 Speaker 3: It's a side note, Clay. It's one of the sad 253 00:14:03,600 --> 00:14:04,080 Speaker 3: things for me. 254 00:14:04,840 --> 00:14:08,720 Speaker 4: So many contemporary historians, they're just they're all communists now. 255 00:14:08,760 --> 00:14:11,600 Speaker 3: It is scary and unfortunate the. 256 00:14:13,120 --> 00:14:16,120 Speaker 4: Historians now, so many of them, it seems like they 257 00:14:16,200 --> 00:14:18,559 Speaker 4: might as well be the gender studies professor team at 258 00:14:18,559 --> 00:14:21,880 Speaker 4: Wesleyan or something like. They're just so many left wing 259 00:14:21,960 --> 00:14:25,120 Speaker 4: historians and a good tell as always if they use BCE. 260 00:14:25,480 --> 00:14:27,640 Speaker 3: By the way, that's all you have to know. 261 00:14:28,200 --> 00:14:30,440 Speaker 1: We're coming up on the first break. But there's a 262 00:14:30,480 --> 00:14:32,640 Speaker 1: world where I would have been a history professor. I 263 00:14:32,680 --> 00:14:35,760 Speaker 1: was a history major. I absolutely loved it. And if 264 00:14:35,800 --> 00:14:38,960 Speaker 1: you go back and look at popular historians, so many 265 00:14:39,040 --> 00:14:42,840 Speaker 1: of them truly love America. And it does seem like 266 00:14:43,120 --> 00:14:46,680 Speaker 1: many modern day historians really hate America. 267 00:14:46,920 --> 00:14:48,280 Speaker 3: And it's you. 268 00:14:48,240 --> 00:14:50,280 Speaker 1: Know, they have such power to tell the story of 269 00:14:50,320 --> 00:14:53,680 Speaker 1: America that it's sad to see the story of America 270 00:14:53,720 --> 00:14:56,320 Speaker 1: becomes so negative. History should be one of the more 271 00:14:56,400 --> 00:15:01,600 Speaker 1: objective humanities profession or humanity the endeavors, and unfortunately it's 272 00:15:01,720 --> 00:15:04,160 Speaker 1: it's like gender studies now in a lot of cases. Anyway, 273 00:15:04,360 --> 00:15:07,080 Speaker 1: we'll get we'll get into that discussion another time. We're 274 00:15:07,120 --> 00:15:09,840 Speaker 1: excited to introduce you to one of our newest sponsors 275 00:15:09,880 --> 00:15:10,600 Speaker 1: here on the show. 276 00:15:10,840 --> 00:15:14,080 Speaker 4: Really cool stuff. Their name is Rapid Radios, and they 277 00:15:14,240 --> 00:15:17,480 Speaker 4: make walkie talkies. These are not your average walkie talkies. 278 00:15:17,560 --> 00:15:21,720 Speaker 4: Rapid Radios deliver serious connection. When crisis hits. These push 279 00:15:21,760 --> 00:15:24,760 Speaker 4: to talk devices have a one button function allows you 280 00:15:24,800 --> 00:15:28,040 Speaker 4: to communicate with your family wherever they are. Rapid radios 281 00:15:28,080 --> 00:15:30,680 Speaker 4: cuts through the noise when sell services out. 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Use ode radio and get an extra 292 00:16:02,000 --> 00:16:03,000 Speaker 4: five percent off. 293 00:16:05,040 --> 00:16:10,120 Speaker 5: Saving America one thought at a time. Clay Travis and 294 00:16:10,240 --> 00:16:14,200 Speaker 5: Buck Sexton. Find them on the free iHeartRadio app or 295 00:16:14,240 --> 00:16:16,120 Speaker 5: wherever you get your podcasts. 296 00:16:16,560 --> 00:16:21,240 Speaker 4: The flip flops of Kamala Harris when it comes to 297 00:16:21,400 --> 00:16:24,920 Speaker 4: key policies, that's going to be I think one of 298 00:16:25,000 --> 00:16:30,560 Speaker 4: the biggest challenges for her. Tonight in this debate, CNN's 299 00:16:30,640 --> 00:16:34,640 Speaker 4: Dana bash This has cut four saying well, some of 300 00:16:34,680 --> 00:16:37,240 Speaker 4: the flip flops are genuine play for the. 301 00:16:37,360 --> 00:16:40,200 Speaker 6: Pober president is going to be going after her on 302 00:16:40,440 --> 00:16:44,080 Speaker 6: some of these changes, and some of them are genuine changes, 303 00:16:44,160 --> 00:16:47,800 Speaker 6: like fracking, which she explained after I asked her why 304 00:16:48,600 --> 00:16:51,760 Speaker 6: some of them are changes because she was running and 305 00:16:51,800 --> 00:16:56,120 Speaker 6: then she became part of President Biden's campaign and then 306 00:16:56,120 --> 00:16:58,680 Speaker 6: his administration. And you know this, Wolf, when you're the 307 00:16:58,720 --> 00:17:02,040 Speaker 6: vice president, you don't really get to make your own policy. 308 00:17:02,080 --> 00:17:03,640 Speaker 6: That happens when you're at the top of the ticket, 309 00:17:03,680 --> 00:17:04,760 Speaker 6: which she is doing. Now. 310 00:17:06,480 --> 00:17:10,879 Speaker 4: Eh, sorry, they can try, they can pull all this stuff, Clay, 311 00:17:11,560 --> 00:17:14,119 Speaker 4: it just doesn't resonate. Everyone's like, oh wait, what was 312 00:17:14,160 --> 00:17:16,720 Speaker 4: that She can't have her own ideas and policies because 313 00:17:16,760 --> 00:17:17,600 Speaker 4: she was tied to Biden. 314 00:17:17,640 --> 00:17:18,560 Speaker 3: He's absurd. 315 00:17:19,080 --> 00:17:21,840 Speaker 1: That actually makes more sense. The problem is she said 316 00:17:21,840 --> 00:17:25,199 Speaker 1: that she didn't support fracking when she was her own boss, 317 00:17:25,320 --> 00:17:27,399 Speaker 1: when she was running for president of the United States, 318 00:17:27,400 --> 00:17:29,520 Speaker 1: and she said the reason she didn't was because she 319 00:17:29,560 --> 00:17:33,080 Speaker 1: couldn't look at her baby nieces in the face if 320 00:17:33,080 --> 00:17:36,320 Speaker 1: she allowed fracking to occur. I guess she's better at 321 00:17:36,320 --> 00:17:37,720 Speaker 1: looking her baby nieces. 322 00:17:37,359 --> 00:17:39,760 Speaker 4: In the face and allow It only makes sense if 323 00:17:40,119 --> 00:17:42,359 Speaker 4: it would only make sense if Biden also wanted to 324 00:17:42,400 --> 00:17:45,720 Speaker 4: ban fracking. This doesn't hold up at all. Yeah, Benny, 325 00:17:45,760 --> 00:17:48,240 Speaker 4: fracking is lunacy, by the way, true lunacy. 326 00:17:48,680 --> 00:17:51,560 Speaker 1: And her answer to Dana Bash would unfracking, which was 327 00:17:51,600 --> 00:17:54,440 Speaker 1: the only thing she pushed back against, was not actually 328 00:17:54,480 --> 00:17:57,400 Speaker 1: good at all and didn't explain herself at all other 329 00:17:57,560 --> 00:18:00,720 Speaker 1: than she's come to realize she has to win Pennsylvania 330 00:18:00,760 --> 00:18:03,320 Speaker 1: to be president, and she can't win Pennsylvania if people 331 00:18:03,359 --> 00:18:06,679 Speaker 1: there think she's cracking. Look at and T, Verizon, T Mobile. 332 00:18:06,720 --> 00:18:10,080 Speaker 1: They're all expensive, especially if you're on an unlimited data plan. 333 00:18:10,400 --> 00:18:12,320 Speaker 1: You can get hooked up right now. Most people don't 334 00:18:12,359 --> 00:18:16,199 Speaker 1: need unlimited data. 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Dial pound two five zero 343 00:18:42,560 --> 00:18:45,760 Speaker 1: say Clay and Buck to start saving now on your 344 00:18:45,800 --> 00:18:49,760 Speaker 1: cell phone plan that is pound two five zero, say 345 00:18:49,840 --> 00:18:53,240 Speaker 1: Clay and Buck one more time pound two five zero 346 00:18:53,800 --> 00:18:57,000 Speaker 1: Welcome back in Clay, Travis and Buck Sexton show as 347 00:18:57,040 --> 00:19:01,520 Speaker 1: we now have reached potentially the only that we will 348 00:19:01,560 --> 00:19:05,120 Speaker 1: have between Trump and Kamala Harris tonight, nine o'clock Eastern. 349 00:19:06,000 --> 00:19:09,400 Speaker 1: In the data, which is what I like to look at, 350 00:19:09,680 --> 00:19:12,919 Speaker 1: we have three major polls that have come out in 351 00:19:12,960 --> 00:19:15,960 Speaker 1: the last twenty four hours, all of them I would 352 00:19:16,040 --> 00:19:21,240 Speaker 1: say somewhat favorable to Trump. In that Harvard Harris has 353 00:19:21,480 --> 00:19:25,040 Speaker 1: a dead tie, New York Times has Trump up one, 354 00:19:25,800 --> 00:19:32,080 Speaker 1: and the most recent NPR mayrist Pole has Kamala up one. 355 00:19:32,280 --> 00:19:35,800 Speaker 1: Why does that matter? In order based on the last 356 00:19:35,840 --> 00:19:39,760 Speaker 1: couple of elections to win, if Trump is running even 357 00:19:39,840 --> 00:19:43,480 Speaker 1: with Kamala or down even a point or two in 358 00:19:43,560 --> 00:19:47,040 Speaker 1: the final popular vote, He's very likely to win the 359 00:19:47,119 --> 00:19:50,640 Speaker 1: electoral college because the numbers get run up in California 360 00:19:50,640 --> 00:19:54,440 Speaker 1: and New York East and West Coast are bigger fans 361 00:19:54,600 --> 00:19:57,800 Speaker 1: of the Democrat Party than much of the rest of 362 00:19:57,840 --> 00:20:01,359 Speaker 1: the country in the middle of the road areas, and 363 00:20:01,640 --> 00:20:05,360 Speaker 1: these numbers are now being reflected in the gambling markets. 364 00:20:05,400 --> 00:20:10,679 Speaker 1: Buck Trump is and has as we are speaking just 365 00:20:10,920 --> 00:20:15,000 Speaker 1: opened his biggest lead in the gambling markets in over 366 00:20:15,080 --> 00:20:16,600 Speaker 1: a month against Kamalin. 367 00:20:16,680 --> 00:20:19,360 Speaker 3: Now it's still close, but Trump is. 368 00:20:19,320 --> 00:20:23,840 Speaker 1: A fifty three percent favorite to win to Kamala's forty 369 00:20:23,880 --> 00:20:28,040 Speaker 1: five percent favorite to win. That's around a field goal 370 00:20:28,240 --> 00:20:31,600 Speaker 1: if you're out there and you are a football fan. 371 00:20:32,119 --> 00:20:34,280 Speaker 1: In terms of what that would look like in the 372 00:20:34,320 --> 00:20:37,720 Speaker 1: gambling markets, Trump basically has a field goal advantage. Now, 373 00:20:37,760 --> 00:20:40,840 Speaker 1: a lot can change, and there may well be substantial 374 00:20:40,880 --> 00:20:44,800 Speaker 1: movement in the gambling markets based on what happens tonight 375 00:20:44,840 --> 00:20:47,920 Speaker 1: in the ninety minute debate. But to me, what stands 376 00:20:47,920 --> 00:20:53,160 Speaker 1: out buck is Trump is a fairly substantial gambling favorite. 377 00:20:53,200 --> 00:20:57,600 Speaker 1: Of the battleground states to win Georgia, to win North Carolina, 378 00:20:57,720 --> 00:21:03,720 Speaker 1: and to win Arizona. Small favorite Pennsylvania. Small favorite, that 379 00:21:03,880 --> 00:21:07,920 Speaker 1: is Trump. Kamala is a small favorite in Michigan and 380 00:21:08,040 --> 00:21:14,520 Speaker 1: in Wisconsin. Simplest math, Trump wins Georgia, Trump wins North Carolina, 381 00:21:14,880 --> 00:21:18,960 Speaker 1: Trump wins Pennsylvania. He's president of the United States. No 382 00:21:19,119 --> 00:21:24,560 Speaker 1: other outcome matters. Simplest route. So I do think this 383 00:21:24,600 --> 00:21:27,280 Speaker 1: is significant because it ties in with what would be 384 00:21:27,400 --> 00:21:31,720 Speaker 1: my analysis of this race. Trump doesn't need to do 385 00:21:31,920 --> 00:21:35,480 Speaker 1: anything crazy. He doesn't need to change any of the 386 00:21:35,560 --> 00:21:39,480 Speaker 1: trajectory of the race. That's what Kamala needs, So don't 387 00:21:39,520 --> 00:21:44,800 Speaker 1: play into her attacks. Be the presidential candidate, use her 388 00:21:44,920 --> 00:21:48,080 Speaker 1: record against her, and I think Trump comes out very good. 389 00:21:48,840 --> 00:21:50,920 Speaker 4: I think that trying to go for a knockout would 390 00:21:50,920 --> 00:21:53,639 Speaker 4: be a mistake. Yeah, because I think he's winning and 391 00:21:53,680 --> 00:21:56,120 Speaker 4: I think if he can just continue what's going on, 392 00:21:56,720 --> 00:21:59,800 Speaker 4: he's going to end up being the president. Look, we 393 00:21:59,840 --> 00:22:03,080 Speaker 4: know that something has changed because we were all being told, 394 00:22:03,119 --> 00:22:08,520 Speaker 4: and the Liberals were dancing around in celebration that Kamala 395 00:22:08,560 --> 00:22:11,479 Speaker 4: was ahead in all the swing states. No serious polster, 396 00:22:11,640 --> 00:22:14,560 Speaker 4: no serious person would I would say right now that 397 00:22:14,680 --> 00:22:16,880 Speaker 4: Kamala Harris is ahead in all of. 398 00:22:16,960 --> 00:22:18,879 Speaker 3: Or even a majority. I think of the swing states. 399 00:22:19,119 --> 00:22:21,879 Speaker 4: At best, they could argue she's tied. If they're telling 400 00:22:21,920 --> 00:22:25,680 Speaker 4: you Kamala is tied, guess what she's losing. And that's 401 00:22:25,720 --> 00:22:29,200 Speaker 4: where this is. I worry a little bit that there's 402 00:22:29,320 --> 00:22:33,879 Speaker 4: going to be a letdown here because the last presidential 403 00:22:33,920 --> 00:22:38,680 Speaker 4: debate ended a candidacy. Generally, presidential debates I think have 404 00:22:39,359 --> 00:22:43,119 Speaker 4: very limited impact. However, this is likely to be a 405 00:22:43,200 --> 00:22:47,440 Speaker 4: very tight election, so even a relatively small shift in 406 00:22:47,480 --> 00:22:53,200 Speaker 4: the numbers because of Kamala and Trump's performances. That may 407 00:22:53,200 --> 00:22:55,960 Speaker 4: be enough to have a determined outcome. You'll never really 408 00:22:56,119 --> 00:22:58,040 Speaker 4: You're never really able to measure, right, I mean, did 409 00:22:58,080 --> 00:23:01,119 Speaker 4: someone win because of the debate or not. But I 410 00:23:01,200 --> 00:23:04,760 Speaker 4: just hope that Trump stays cool, calm and collected tonight. 411 00:23:05,480 --> 00:23:06,560 Speaker 3: You know, be funny. 412 00:23:06,600 --> 00:23:08,440 Speaker 4: He's gonna be Trump, He's I don't think I have 413 00:23:08,560 --> 00:23:09,840 Speaker 4: to tell him that He's going to do his thing. 414 00:23:11,000 --> 00:23:13,520 Speaker 4: But if the only the only trap he could fall 415 00:23:13,560 --> 00:23:17,280 Speaker 4: into is looking petty and overly aggressive, and I think 416 00:23:17,320 --> 00:23:20,600 Speaker 4: he knows, and he wasn't. With a guy in pure 417 00:23:20,680 --> 00:23:23,960 Speaker 4: meltdown next to him. Trump didn't look mean, He didn't 418 00:23:24,000 --> 00:23:28,199 Speaker 4: look like he was badgering or belligerent toward Biden. He 419 00:23:28,320 --> 00:23:29,880 Speaker 4: just was kind of like, Oh, this is a mess, 420 00:23:29,920 --> 00:23:32,199 Speaker 4: isn't it. I mean, you almost it almost was at 421 00:23:32,240 --> 00:23:35,560 Speaker 4: certain points in the Biden Trump debate, like Trump was 422 00:23:35,600 --> 00:23:37,800 Speaker 4: sitting next to you and we were all watching Biden, 423 00:23:37,800 --> 00:23:40,200 Speaker 4: and he was like, Oh, this guy's having a bad night. 424 00:23:40,320 --> 00:23:41,520 Speaker 3: You know what I'm saying. It wasn't. 425 00:23:41,600 --> 00:23:45,520 Speaker 4: It didn't come across as as nasty and those kinds 426 00:23:45,520 --> 00:23:48,920 Speaker 4: of I know, we considered, say what about the policy. 427 00:23:49,480 --> 00:23:52,560 Speaker 4: How could Kamalok went on policy or policies are insane 428 00:23:52,560 --> 00:23:54,479 Speaker 4: and they change every five minutes. This is really going 429 00:23:54,560 --> 00:23:59,879 Speaker 4: to be feel vibe, personality, emotion as the takeaway for 430 00:24:00,200 --> 00:24:02,360 Speaker 4: a lot of people who are still who are still 431 00:24:02,400 --> 00:24:03,600 Speaker 4: thinking about who they're going to vote for. 432 00:24:03,880 --> 00:24:08,760 Speaker 1: Yeah, and I don't think people know Kamala, I really don't. 433 00:24:09,320 --> 00:24:12,800 Speaker 1: I'm talking about the general public. Everybody has their impressions 434 00:24:12,800 --> 00:24:16,359 Speaker 1: of Trump. I think Trump could surprise people by just 435 00:24:16,400 --> 00:24:20,239 Speaker 1: being presidential, which he can often be, and looking like 436 00:24:20,320 --> 00:24:24,080 Speaker 1: he's a bigger man than Kamala who actually attacks him. 437 00:24:24,080 --> 00:24:26,840 Speaker 1: And I think it's worth remembering Biden tried to get 438 00:24:26,920 --> 00:24:30,440 Speaker 1: him riled up. Remember the stupid alley Cat line when 439 00:24:30,440 --> 00:24:32,880 Speaker 1: Biden was like, You've got the morals of an alley cat, 440 00:24:33,040 --> 00:24:35,320 Speaker 1: which is I still think one of the oldest man 441 00:24:35,400 --> 00:24:39,280 Speaker 1: lines ever. Like it actually just managed to age Trump. 442 00:24:39,359 --> 00:24:41,520 Speaker 4: I mean, agent, I have to call Trump a dog 443 00:24:41,600 --> 00:24:43,800 Speaker 4: faced pony soldier or whatever that was. 444 00:24:44,680 --> 00:24:46,880 Speaker 1: But he said you had sex with a porn star 445 00:24:47,119 --> 00:24:47,600 Speaker 1: you did? 446 00:24:48,119 --> 00:24:48,400 Speaker 3: You know? 447 00:24:48,480 --> 00:24:51,719 Speaker 1: All these things that I think they thought would get 448 00:24:51,800 --> 00:24:54,520 Speaker 1: Trump really riled up, And Trump just said and I 449 00:24:54,560 --> 00:24:58,040 Speaker 1: didn't and didn't go down the rabbit hole. By and large, 450 00:24:58,240 --> 00:25:01,719 Speaker 1: Kamala's gonna come at him with that. Now Kamala has 451 00:25:01,760 --> 00:25:06,600 Speaker 1: got her own history. I think Kamala is sleeping with 452 00:25:06,680 --> 00:25:11,359 Speaker 1: a married man in San Francisco is for uh no, Buck, 453 00:25:11,359 --> 00:25:14,600 Speaker 1: I think you're gonna is for us worthy of discussing. 454 00:25:15,320 --> 00:25:19,239 Speaker 1: My concern is if Trump goes after her based on 455 00:25:19,320 --> 00:25:23,520 Speaker 1: what race she is or sleeping with Willie Brown, that that. 456 00:25:23,520 --> 00:25:25,080 Speaker 4: You see this the way I do that, this is 457 00:25:25,119 --> 00:25:27,040 Speaker 4: not this is not the time. Okay, So you and 458 00:25:27,040 --> 00:25:28,719 Speaker 4: I agree. Sorry, I thought you were gonna say, go 459 00:25:28,760 --> 00:25:31,400 Speaker 4: after on the Willie Brown stuff. That's not That's not 460 00:25:31,440 --> 00:25:34,240 Speaker 4: going to work to his advantage tonight. Here's how can 461 00:25:34,280 --> 00:25:36,520 Speaker 4: make all the jokes you want. Our friend Jesse Kelly 462 00:25:36,560 --> 00:25:39,280 Speaker 4: certainly makes jokes about it. But here's the counter where 463 00:25:39,320 --> 00:25:40,000 Speaker 4: it could work. 464 00:25:40,080 --> 00:25:40,359 Speaker 3: Buck. 465 00:25:40,760 --> 00:25:44,360 Speaker 1: If she comes after him and says, uh, you know, 466 00:25:44,560 --> 00:25:47,399 Speaker 1: you slept with a porn star, you are guilty of 467 00:25:47,440 --> 00:25:50,199 Speaker 1: sexual assault, all these things, I think it would be 468 00:25:50,200 --> 00:25:53,439 Speaker 1: really funny if Trump said this would be my advice. Look, 469 00:25:53,760 --> 00:25:57,640 Speaker 1: I don't want to focus on anyone's past allegations. Some 470 00:25:57,680 --> 00:26:00,640 Speaker 1: people say that you slept with the mayor of San 471 00:26:00,680 --> 00:26:03,639 Speaker 1: Francisco while he was married. I'm not going to focus 472 00:26:03,680 --> 00:26:05,640 Speaker 1: on things like that, or that he gave you four 473 00:26:05,720 --> 00:26:08,439 Speaker 1: hundred thousand dollars in jobs. That's not the kind of 474 00:26:08,440 --> 00:26:11,080 Speaker 1: thing that I would focus on. Others can or that 475 00:26:11,160 --> 00:26:13,639 Speaker 1: the reason you're here now is because you are willing 476 00:26:13,640 --> 00:26:15,920 Speaker 1: to sleep with people and rise as a result. That's 477 00:26:15,960 --> 00:26:19,000 Speaker 1: not really my thing. Like it's funny if he addresses 478 00:26:19,040 --> 00:26:22,800 Speaker 1: it in a way and then he pivots and says, 479 00:26:22,960 --> 00:26:25,640 Speaker 1: this election is about the future, and all the choices 480 00:26:25,680 --> 00:26:27,760 Speaker 1: you've made in the past prove that you're not the 481 00:26:27,840 --> 00:26:30,520 Speaker 1: right person to lead us into the future. I wish 482 00:26:31,119 --> 00:26:33,680 Speaker 1: I wish we could go Freaky Friday on this thing, Buck, 483 00:26:34,119 --> 00:26:38,359 Speaker 1: because I would give anything to have a ninety minute 484 00:26:38,359 --> 00:26:41,800 Speaker 1: debate with Kamala Harris and actually be able to hold 485 00:26:41,840 --> 00:26:45,439 Speaker 1: her accountable for her record. I don't know that Trump 486 00:26:45,520 --> 00:26:47,600 Speaker 1: is going to be the best person to do this. 487 00:26:47,760 --> 00:26:50,080 Speaker 1: I think jad Vance would be really good if he 488 00:26:50,119 --> 00:26:52,240 Speaker 1: had gotten to go against her in the VP debate. 489 00:26:53,240 --> 00:26:58,200 Speaker 1: Trump is has many skills. I don't know that really 490 00:26:58,280 --> 00:27:04,200 Speaker 1: succinctly articulated someone else's failures of policy are going to 491 00:27:04,240 --> 00:27:06,119 Speaker 1: be the thing that people remember about Trump. 492 00:27:06,200 --> 00:27:09,000 Speaker 4: What you're talking about fun fun fact or little data 493 00:27:09,040 --> 00:27:15,119 Speaker 4: point would be trump engaging in printerzio or apophesis, where 494 00:27:15,440 --> 00:27:18,320 Speaker 4: you say what you want to say by saying you're 495 00:27:18,320 --> 00:27:20,240 Speaker 4: not going to talk about it. Right, So I didn't 496 00:27:20,280 --> 00:27:22,359 Speaker 4: know that's what it's called, but I always think that's funny. 497 00:27:22,720 --> 00:27:24,840 Speaker 4: You know, it's it's a it's an you know, an 498 00:27:24,880 --> 00:27:27,359 Speaker 4: ancient rhetorical trick, right, this is the thing. And you 499 00:27:27,400 --> 00:27:29,959 Speaker 4: could sit there and say, well, I could talk about 500 00:27:29,960 --> 00:27:33,080 Speaker 4: like Willie Brown and Kamalaw and you know, sleeping your 501 00:27:33,119 --> 00:27:34,600 Speaker 4: way to the top of politics. 502 00:27:34,640 --> 00:27:36,520 Speaker 3: But I'm not that kind of guy. 503 00:27:36,680 --> 00:27:38,800 Speaker 1: You know that that's the sort of classic and I 504 00:27:38,880 --> 00:27:43,280 Speaker 1: think comes off super funny, gets your message across, but 505 00:27:43,440 --> 00:27:49,000 Speaker 1: doesn't attack. I always say the most successful attacks are 506 00:27:49,040 --> 00:27:53,480 Speaker 1: delivered with a smile, and some women are really good 507 00:27:53,560 --> 00:27:56,240 Speaker 1: at it. We employ Tommy Lay and she's been on 508 00:27:56,280 --> 00:27:59,840 Speaker 1: the show a lot. She's pretty, and she smiles a 509 00:28:00,080 --> 00:28:02,520 Speaker 1: lot when she like has a knife in her hand, 510 00:28:02,640 --> 00:28:05,560 Speaker 1: and people don't even know they're getting gutted because the 511 00:28:05,640 --> 00:28:10,000 Speaker 1: cosmetic oftentimes disguises the attack. Right, Does that make sense? 512 00:28:10,040 --> 00:28:12,640 Speaker 1: I feel like, what would people come at you on Twitter? 513 00:28:14,000 --> 00:28:16,240 Speaker 1: You know, you're always kind of you're always just like 514 00:28:16,280 --> 00:28:18,760 Speaker 1: game on. It's like someone's rolled the basketball of the 515 00:28:18,760 --> 00:28:20,520 Speaker 1: court and they're like, let's say, like you're just down 516 00:28:20,560 --> 00:28:22,359 Speaker 1: to throw down, like you don't care at all. So 517 00:28:23,119 --> 00:28:25,760 Speaker 1: some people can have that approach, which I think is 518 00:28:25,760 --> 00:28:27,240 Speaker 1: always is always an advantage. 519 00:28:27,320 --> 00:28:28,920 Speaker 3: You never want to let them get under your skin. 520 00:28:29,600 --> 00:28:31,800 Speaker 1: Well, and I think that's the point with Trump. He 521 00:28:31,840 --> 00:28:36,080 Speaker 1: didn't let Biden get under his skin. And Kamala is desperate. 522 00:28:36,280 --> 00:28:39,160 Speaker 1: I really do believe that her campaign is desperate and 523 00:28:39,200 --> 00:28:42,120 Speaker 1: they need Trump to come off the handle so that 524 00:28:42,200 --> 00:28:44,800 Speaker 1: they can argue that he doesn't have the disposition to 525 00:28:44,840 --> 00:28:47,320 Speaker 1: be president, that he doesn't have the temperament. 526 00:28:47,360 --> 00:28:48,320 Speaker 3: That's what they want to argue. 527 00:28:48,320 --> 00:28:50,000 Speaker 1: It's also funny, you know what the front page of 528 00:28:50,040 --> 00:28:54,320 Speaker 1: the New York Times us today buck Trump's age becomes 529 00:28:54,320 --> 00:28:58,880 Speaker 1: an issue. They didn't cover barely at all, Joe Biden's 530 00:28:58,920 --> 00:29:02,520 Speaker 1: age for years. Today, on the day of the September 531 00:29:02,560 --> 00:29:05,680 Speaker 1: tenth debate, I pull out the New York Times old 532 00:29:05,720 --> 00:29:09,640 Speaker 1: man style my newspaper, and it says, maybe been yesterday's paper. 533 00:29:09,640 --> 00:29:11,880 Speaker 1: To be fair, they all rolled together, but the front 534 00:29:11,880 --> 00:29:16,080 Speaker 1: page story was about Trump and his age, and what 535 00:29:16,200 --> 00:29:19,440 Speaker 1: a huge issue it's become I just I couldn't help 536 00:29:19,440 --> 00:29:21,160 Speaker 1: but smile. I mean, like, come on, well you knew 537 00:29:21,200 --> 00:29:22,760 Speaker 1: they were going to do that. I mean that was 538 00:29:22,800 --> 00:29:24,840 Speaker 1: that was the most Yeah, that was clear. There was 539 00:29:24,880 --> 00:29:27,200 Speaker 1: no way they weren't going to try to say, how 540 00:29:27,240 --> 00:29:29,320 Speaker 1: could they run somebody who's so old? 541 00:29:30,280 --> 00:29:30,480 Speaker 3: Right? 542 00:29:30,560 --> 00:29:30,640 Speaker 6: Like? 543 00:29:30,800 --> 00:29:34,000 Speaker 4: Of course, of course, not a surprise at all. We'll 544 00:29:34,000 --> 00:29:35,760 Speaker 4: take some of your calls on this one debate night, 545 00:29:36,640 --> 00:29:38,760 Speaker 4: the big night. Everybody gonna be a lot of I 546 00:29:38,800 --> 00:29:40,000 Speaker 4: was gonna say a lot of fun. I don't know 547 00:29:40,000 --> 00:29:41,560 Speaker 4: if funds of our word, but it'll certainly be a 548 00:29:41,600 --> 00:29:45,480 Speaker 4: spectacle and we'll be watching. So give us a call. 549 00:29:45,520 --> 00:29:47,040 Speaker 4: What do you think you're going to see? You know, 550 00:29:47,080 --> 00:29:49,280 Speaker 4: we do three hours of radio a day here and 551 00:29:49,320 --> 00:29:52,400 Speaker 4: we get to give you our honest perspectives on Trump, Commo, 552 00:29:52,520 --> 00:29:55,520 Speaker 4: the campaigns, what's going on the country and everything. But 553 00:29:55,640 --> 00:29:57,520 Speaker 4: sometimes it's fun to be able to write to you 554 00:29:57,640 --> 00:30:00,640 Speaker 4: as well, to give you analysis with the written word 555 00:30:00,640 --> 00:30:03,440 Speaker 4: instead of the spoken word. And that's why I've launched 556 00:30:03,480 --> 00:30:06,040 Speaker 4: a newsletter and it's available for you to sign up 557 00:30:06,160 --> 00:30:10,360 Speaker 4: right now for free, the Urgent Message dot com. Every Monday, 558 00:30:10,760 --> 00:30:13,760 Speaker 4: you get information and perspective from me. Buck Sexton in 559 00:30:13,800 --> 00:30:16,800 Speaker 4: a written form. This newsletter is a multiperson effort, though 560 00:30:16,800 --> 00:30:20,080 Speaker 4: we're gonna have different guest columnists and experts. We're weighing 561 00:30:20,080 --> 00:30:23,280 Speaker 4: in week to week and they'll bring you the best insights, 562 00:30:23,280 --> 00:30:27,400 Speaker 4: including insights around the markets, economics, and finances. Sign up 563 00:30:27,440 --> 00:30:29,800 Speaker 4: to receive my next edition, coming up this Monday. To 564 00:30:29,840 --> 00:30:32,200 Speaker 4: remember totally free. It's costs you nothing. All you do 565 00:30:32,280 --> 00:30:34,800 Speaker 4: is go sign up. Go to this website, The Urgent 566 00:30:34,960 --> 00:30:38,080 Speaker 4: Message dot com. Easy to sign up, easy to receive. 567 00:30:38,440 --> 00:30:41,440 Speaker 4: The website to sign up for my free email weekly 568 00:30:41,480 --> 00:30:45,880 Speaker 4: newsletter is the Urgent Message dot com. 569 00:30:46,360 --> 00:30:49,080 Speaker 5: Need a break from follow zis a little comedy to 570 00:30:49,400 --> 00:30:53,640 Speaker 5: counter the craziness, So do we. The Sunday Hang a 571 00:30:53,720 --> 00:30:56,840 Speaker 5: weekend podcast to lighten things up a bit. Find it 572 00:30:56,880 --> 00:30:59,640 Speaker 5: in the Clay and Buck podcast feed on the iHeartRadio 573 00:30:59,680 --> 00:31:02,120 Speaker 5: appon or wherever you get your podcasts. 574 00:31:02,640 --> 00:31:04,120 Speaker 3: Welcome back into Clay and Buck. 575 00:31:04,600 --> 00:31:07,120 Speaker 4: Oh look at this T shirt says Crockett Coffee on 576 00:31:07,200 --> 00:31:09,800 Speaker 4: it because it's the best coffee company ever. Thanks to 577 00:31:09,840 --> 00:31:12,000 Speaker 4: all of you. It is the company you are building. 578 00:31:12,800 --> 00:31:15,160 Speaker 4: I'm drinking some Crockett. I sprained my knee, so I 579 00:31:15,200 --> 00:31:18,800 Speaker 4: took some painkiller last night, you know, over the counter stuff, 580 00:31:19,080 --> 00:31:20,040 Speaker 4: and I was a little sleepy. 581 00:31:20,080 --> 00:31:21,120 Speaker 3: But this morning, you know what I did. 582 00:31:21,120 --> 00:31:23,040 Speaker 4: I got up and I got my Crockett going, and 583 00:31:23,080 --> 00:31:25,480 Speaker 4: I'm fired up, ready for this show, ready to take 584 00:31:25,520 --> 00:31:28,680 Speaker 4: on the day. Go to Crocketcoffee dot com. Please subscribe. 585 00:31:28,800 --> 00:31:31,440 Speaker 4: Clays looking at me? What's up, Clay? I'm just laughing. 586 00:31:31,600 --> 00:31:34,120 Speaker 4: We were talking about Kamala Harris's past. First of all. 587 00:31:34,720 --> 00:31:37,080 Speaker 1: As soon as I finished this segment, we finished the 588 00:31:37,080 --> 00:31:40,840 Speaker 1: first hour. I'm going downstairs and making myself a fabulous 589 00:31:40,880 --> 00:31:44,480 Speaker 1: cup of Crockett coffee. And many of you out there, 590 00:31:44,960 --> 00:31:48,400 Speaker 1: as you get ready for staying up a little bit late, 591 00:31:48,480 --> 00:31:51,760 Speaker 1: maybe compared to normal, for the debate and the reaction 592 00:31:51,880 --> 00:31:54,840 Speaker 1: to debait and whatnot, you may want to have a little. 593 00:31:54,640 --> 00:31:55,280 Speaker 3: Bit of coffee. 594 00:31:55,360 --> 00:31:58,280 Speaker 1: Last night I had some Crocket coffee buck before I 595 00:31:58,320 --> 00:32:01,400 Speaker 1: went to watch Matt Walsh's Am I Racist? Good movie? 596 00:32:01,400 --> 00:32:03,000 Speaker 1: It's gonna be out in theater soon. I think we 597 00:32:03,080 --> 00:32:06,720 Speaker 1: got Matt from the Daily Wire on here soon. But 598 00:32:07,240 --> 00:32:08,560 Speaker 1: give it a little bit of pep in the step. 599 00:32:08,600 --> 00:32:11,840 Speaker 1: And it's the coffee that actually loves America, unlike many 600 00:32:12,040 --> 00:32:13,720 Speaker 1: of the coffee companies out there. 601 00:32:13,880 --> 00:32:15,680 Speaker 3: But we were laughing, I'll send this. 602 00:32:15,760 --> 00:32:22,120 Speaker 1: In this clip, there's an old ABC profile of Willie Brown, 603 00:32:22,720 --> 00:32:27,680 Speaker 1: who was Kamala Harris's married She was his mistress. I 604 00:32:27,720 --> 00:32:29,680 Speaker 1: guess whatever you want to call it. He was married, 605 00:32:29,760 --> 00:32:33,440 Speaker 1: multiple kids. He was sixty, she was twenty nine. There 606 00:32:33,480 --> 00:32:38,240 Speaker 1: is a clipbuck of him dancing in a nightclub. Kamala 607 00:32:38,400 --> 00:32:42,160 Speaker 1: turns to look at the camera and the reporter asks, 608 00:32:42,320 --> 00:32:47,240 Speaker 1: are you his daughter? I'm telling you, I'm about to 609 00:32:47,240 --> 00:32:49,960 Speaker 1: share the clip the video. I saw it and I 610 00:32:50,000 --> 00:32:54,960 Speaker 1: couldn't believe it was real. But it brings home that 611 00:32:55,040 --> 00:32:59,200 Speaker 1: she will do anything for power, and starting in her twenties, 612 00:32:59,360 --> 00:33:01,400 Speaker 1: she was sleeping with a sixty year old guy who 613 00:33:01,480 --> 00:33:05,120 Speaker 1: was married with kids. He gave her two four hundred 614 00:33:05,160 --> 00:33:08,320 Speaker 1: thousand dollars jobs. People say, Okay, why does that matter. 615 00:33:08,840 --> 00:33:12,200 Speaker 1: It's indicative to me of how her campaign is now. 616 00:33:12,720 --> 00:33:17,600 Speaker 1: She will do anything to get power. She claims that. 617 00:33:17,640 --> 00:33:21,280 Speaker 1: She I mean, I really think there is no core 618 00:33:21,400 --> 00:33:24,440 Speaker 1: to Kamala Harris, Like, what does she actually believe in? 619 00:33:24,600 --> 00:33:26,480 Speaker 4: Well, yeah, that's what I've been saying along. She just 620 00:33:26,520 --> 00:33:29,080 Speaker 4: believes in power, the pursuit of it, the wielding of it. Yes, 621 00:33:29,280 --> 00:33:31,720 Speaker 4: being a part of the machine of the powerful. 622 00:33:32,440 --> 00:33:33,120 Speaker 3: I don't know, Clay. 623 00:33:33,160 --> 00:33:35,040 Speaker 4: I just I don't know that anyone cares that she 624 00:33:35,240 --> 00:33:37,080 Speaker 4: was doing this stuff. What was it we're talking with 625 00:33:37,200 --> 00:33:39,120 Speaker 4: forty years ago now, or it's not forty years ago? 626 00:33:39,240 --> 00:33:42,800 Speaker 3: Uh, thirty years ago? Yeah, thirty years ago. I don't know. 627 00:33:43,000 --> 00:33:47,200 Speaker 3: I don't think anyone cares. Right, it's not like she 628 00:33:47,360 --> 00:33:48,400 Speaker 3: was not illegal. 629 00:33:48,480 --> 00:33:52,040 Speaker 1: But if you're a if you're a mom out there 630 00:33:52,120 --> 00:33:55,600 Speaker 1: right now, who says, hey, I don't like Donald Trump 631 00:33:55,680 --> 00:33:58,600 Speaker 1: because I don't think he seems like a great husband. 632 00:33:59,120 --> 00:34:04,240 Speaker 1: I don't think he seems like a trustworthy guy. You're 633 00:34:04,280 --> 00:34:07,960 Speaker 1: gonna vote for the woman who was sleeping with a 634 00:34:08,000 --> 00:34:12,320 Speaker 1: married man. I think it does register with married women. 635 00:34:12,200 --> 00:34:14,120 Speaker 3: Think it. I don't think it floats to the top 636 00:34:14,160 --> 00:34:17,000 Speaker 3: of people's mind. It does. 637 00:34:17,200 --> 00:34:19,160 Speaker 1: I think there are a lot of married women out 638 00:34:19,200 --> 00:34:21,240 Speaker 1: there that hate side chicks. 639 00:34:21,920 --> 00:34:27,400 Speaker 4: Married women are are voting Republican overwhelmingly anyway. Okay, married women, 640 00:34:27,440 --> 00:34:29,680 Speaker 4: are you meat and potatoes of the Republican Party? It's 641 00:34:29,680 --> 00:34:33,800 Speaker 4: act yeah, well, that's that's true on some level. But 642 00:34:33,840 --> 00:34:36,160 Speaker 4: if you actually go into the deep dive data in 643 00:34:36,200 --> 00:34:40,400 Speaker 4: twenty twenty, the reason why Trump lost and I know 644 00:34:40,719 --> 00:34:42,600 Speaker 4: I was rigged all these other things, but go to 645 00:34:42,800 --> 00:34:51,120 Speaker 4: the actual places. It's suburban women in Milwaukee, Philadelphia, Pittsburgh, Atlanta, 646 00:34:52,640 --> 00:34:57,120 Speaker 4: and Las Vegas. You go into the Phoenix, you go 647 00:34:57,239 --> 00:35:00,359 Speaker 4: into those areas. I'm telling you they're still a lot 648 00:35:00,360 --> 00:35:04,359 Speaker 4: of educated, suburban women who don't like Trump personally. They 649 00:35:04,360 --> 00:35:07,840 Speaker 4: may like his policies, and they're married and they have kids. 650 00:35:08,160 --> 00:35:09,880 Speaker 4: And I think there are a lot of married women 651 00:35:09,920 --> 00:35:14,120 Speaker 4: out there that hate the idea of the side chick, 652 00:35:14,360 --> 00:35:18,200 Speaker 4: of the mistress that's Kamala Harris and then she got 653 00:35:18,239 --> 00:35:20,160 Speaker 4: They probably also hate the idea of the guy who's 654 00:35:20,160 --> 00:35:22,440 Speaker 4: married three times and she did on his previous wives, right. 655 00:35:22,480 --> 00:35:24,160 Speaker 4: So I don't think this is a game we necessarily 656 00:35:24,200 --> 00:35:25,120 Speaker 4: want to get into. 657 00:35:25,160 --> 00:35:28,759 Speaker 1: But I think it helps to shift the calculus in 658 00:35:28,840 --> 00:35:31,319 Speaker 1: their world. I guarantee you Buck, there are a ton 659 00:35:31,320 --> 00:35:32,759 Speaker 1: of women out there that are saying, I'm going to 660 00:35:32,840 --> 00:35:35,560 Speaker 1: vote against Donald Trump because he's married three times and 661 00:35:35,600 --> 00:35:37,399 Speaker 1: I don't think he's a great husband, and I don't 662 00:35:37,440 --> 00:35:39,560 Speaker 1: like his character, and then they're going to vote for 663 00:35:39,600 --> 00:35:40,239 Speaker 1: the side chick. 664 00:35:41,160 --> 00:35:42,799 Speaker 4: I think it's I think people care a lot more 665 00:35:42,800 --> 00:35:44,800 Speaker 4: than Kamala is an idiot who's going to make everything 666 00:35:44,840 --> 00:35:46,759 Speaker 4: more expensive more than democratic and more. 667 00:35:46,800 --> 00:35:47,840 Speaker 3: You know that all matters. 668 00:35:47,880 --> 00:35:50,920 Speaker 1: But I don't know that that registers with suburban women 669 00:35:50,960 --> 00:35:54,279 Speaker 1: who were willing to flip to Biden in twenty two. 670 00:35:54,360 --> 00:35:57,680 Speaker 4: Suburban women, suburban women call in a suburban women here, 671 00:35:57,960 --> 00:36:00,359 Speaker 4: call in. Okay, tell what I'm just saying. Well, let's 672 00:36:00,400 --> 00:36:03,360 Speaker 4: get some calls in from this. Let's actually hear Clay 673 00:36:03,480 --> 00:36:09,560 Speaker 4: is channeling superban women. Suddenly, no one understands suburban married 674 00:36:09,600 --> 00:36:12,200 Speaker 4: women better than me. I don't necessarily want to know 675 00:36:12,400 --> 00:36:15,399 Speaker 4: what you're doing, because every time we do this, people 676 00:36:15,440 --> 00:36:17,799 Speaker 4: call in there like I would crawl on hot call 677 00:36:17,920 --> 00:36:20,440 Speaker 4: for Donald Trump. Women are voting for Kamala. 678 00:36:20,560 --> 00:36:25,280 Speaker 1: By the way, do you hear your girlfriends reference Trump's 679 00:36:25,360 --> 00:36:28,440 Speaker 1: character and have no idea about Kamala is? I think 680 00:36:28,480 --> 00:36:31,280 Speaker 1: it cancels out and then you come back to policy. 681 00:36:31,320 --> 00:36:34,800 Speaker 1: That's my argument. Okay, she's also an alley cat. In 682 00:36:34,920 --> 00:36:38,480 Speaker 1: Joe Biden's parlance, He's an alley cat. Let's just come 683 00:36:38,520 --> 00:36:41,560 Speaker 1: back to economy, border crime, because then you get back 684 00:36:41,560 --> 00:36:43,680 Speaker 1: on the issues and Trump wins there. 685 00:36:44,560 --> 00:36:46,600 Speaker 4: All right, ladies, you tell me, I don't think anybody 686 00:36:46,640 --> 00:36:48,879 Speaker 4: cares about wo Kamala was sleeping with thirty years ago. 687 00:36:49,000 --> 00:36:51,239 Speaker 3: But last Uncle Bill. He's coming up.