1 00:00:00,360 --> 00:00:04,920 Speaker 1: Welcome in Wednesday edition Clay Travis buck Sexton Show. Appreciate 2 00:00:05,040 --> 00:00:06,920 Speaker 1: all of you hanging out with us. We got a 3 00:00:06,920 --> 00:00:11,039 Speaker 1: whale of a program headed your direction today hopefully be fun, entertaining, 4 00:00:11,520 --> 00:00:16,440 Speaker 1: and enlightening all rolled together. Mike Baker, he is a 5 00:00:16,840 --> 00:00:18,280 Speaker 1: counter intel expert. 6 00:00:18,360 --> 00:00:18,599 Speaker 2: Buck. 7 00:00:18,680 --> 00:00:22,599 Speaker 1: You know, Mike, I believe basically going to tell us 8 00:00:22,640 --> 00:00:27,480 Speaker 1: how Israel managed to blow up pagers and now walkie 9 00:00:27,560 --> 00:00:32,240 Speaker 1: talkies of Hesbola in a story that continues to grow. 10 00:00:33,120 --> 00:00:36,120 Speaker 1: That should be an interesting conversation, I believe with him, 11 00:00:36,960 --> 00:00:39,400 Speaker 1: we got our buddy, Senator Ron Johnson. We have not 12 00:00:39,640 --> 00:00:42,360 Speaker 1: I don't think had him on Bucks since we were 13 00:00:42,400 --> 00:00:46,280 Speaker 1: with him at the RNC in August. We will talk 14 00:00:46,320 --> 00:00:49,440 Speaker 1: with him about the latest news out there, including the 15 00:00:49,440 --> 00:00:52,239 Speaker 1: battleground state of Wisconsin. And then at two thirty Ned 16 00:00:52,320 --> 00:00:56,440 Speaker 1: Ryan set to join us. I mentioned the blown up 17 00:00:56,480 --> 00:01:00,840 Speaker 1: walkie talkies, that story following the blown up pager yesterday 18 00:01:00,920 --> 00:01:05,960 Speaker 1: of Hezbola as Israel steps up its counter terrorism efforts. 19 00:01:06,520 --> 00:01:09,880 Speaker 1: We've got a lot to dive into with all of you, 20 00:01:10,360 --> 00:01:14,280 Speaker 1: but I wanted to start with a couple of interesting 21 00:01:14,400 --> 00:01:20,400 Speaker 1: data points that came down this morning in the gallop Pole. 22 00:01:21,600 --> 00:01:28,280 Speaker 1: There was a big move in likability since August when 23 00:01:28,280 --> 00:01:32,600 Speaker 1: it comes to Kamala Harris and to Donald Trump. Also, 24 00:01:33,040 --> 00:01:36,800 Speaker 1: we've got a new poll out from Atlanta showing in 25 00:01:36,840 --> 00:01:41,280 Speaker 1: the Atlanta Journal Constitution Trump with a three point lead 26 00:01:41,440 --> 00:01:44,080 Speaker 1: in Georgia. Let's talk about these in reverse for a 27 00:01:44,160 --> 00:01:47,760 Speaker 1: sec buck Trump up forty four to forty one, margin 28 00:01:47,840 --> 00:01:50,840 Speaker 1: of air three points in the Atlanta Journal Constitution. 29 00:01:51,000 --> 00:01:51,240 Speaker 2: Pole. 30 00:01:51,760 --> 00:01:55,320 Speaker 1: That's down from a five point lead over Joe Biden, 31 00:01:55,440 --> 00:02:02,360 Speaker 1: but still an absolutely massive deal. If Trump flips Georgia 32 00:02:02,400 --> 00:02:07,120 Speaker 1: back into the Red team camp. Why does that matter? Well, 33 00:02:07,120 --> 00:02:11,600 Speaker 1: because if Trump wins Georgia and he wins North Carolina, 34 00:02:12,360 --> 00:02:15,480 Speaker 1: then all he would need to do is win Pennsylvania 35 00:02:15,639 --> 00:02:20,440 Speaker 1: and he as president. This also would reflect that Kamala 36 00:02:20,480 --> 00:02:24,760 Speaker 1: Harris's surge has really kind of run into a wall 37 00:02:24,800 --> 00:02:28,960 Speaker 1: here because Georgia has a large black population, and the 38 00:02:29,080 --> 00:02:32,240 Speaker 1: idea was, oh, Kamala will be able to get more 39 00:02:32,280 --> 00:02:34,920 Speaker 1: of those voters than Joe Biden would be able to. 40 00:02:35,720 --> 00:02:38,160 Speaker 1: That would seem not to be the case. Again, this 41 00:02:38,280 --> 00:02:41,519 Speaker 1: is the Atlanta Journal Constitution and the University of Georgia. 42 00:02:41,560 --> 00:02:46,200 Speaker 1: Pol I misspoke, Trump up forty seven to forty one. Sorry, 43 00:02:46,240 --> 00:02:49,240 Speaker 1: forty seven to forty four margin of air three point one. 44 00:02:49,480 --> 00:02:53,760 Speaker 1: In this poll, Biden was down five in June, but 45 00:02:53,840 --> 00:02:56,600 Speaker 1: this would suggest that the staying power for Trump in 46 00:02:56,680 --> 00:03:00,320 Speaker 1: Georgia is significant and that he's on track to flip 47 00:03:00,400 --> 00:03:01,800 Speaker 1: Georgia back to the Red team. 48 00:03:02,200 --> 00:03:05,600 Speaker 3: I just want to say, Clay, the numbers absolutely line 49 00:03:05,720 --> 00:03:09,600 Speaker 3: up with what we've been saying is going to happen, 50 00:03:09,720 --> 00:03:14,600 Speaker 3: particularly over the last month, which is with greater Kamala 51 00:03:14,680 --> 00:03:21,200 Speaker 3: familiarity comes greater Kamala campaign weakness the entire game. I'm 52 00:03:21,200 --> 00:03:24,000 Speaker 3: telling you, the only way the people who really know 53 00:03:25,000 --> 00:03:27,519 Speaker 3: what's happening with this election, who are pulling the strings 54 00:03:27,560 --> 00:03:31,040 Speaker 3: the Democrat Party, the only reason they really thought that 55 00:03:31,120 --> 00:03:34,040 Speaker 3: Kamala Harris was a better shot for them than Joe 56 00:03:34,040 --> 00:03:40,200 Speaker 3: Biden was because of the truncated campaign, because it was 57 00:03:40,200 --> 00:03:43,040 Speaker 3: a shortened schedule, if you will, I think they all 58 00:03:43,080 --> 00:03:46,200 Speaker 3: recognize that if Kamala had to run over the course. 59 00:03:46,240 --> 00:03:48,400 Speaker 3: First of all, she had to run a primary, okay, 60 00:03:48,480 --> 00:03:50,160 Speaker 3: because she would have had to reiterate a lot of 61 00:03:50,160 --> 00:03:53,320 Speaker 3: those crazy positions in that primary. And then if she 62 00:03:53,400 --> 00:03:56,800 Speaker 3: had to show up and actually campaign in any normal sense, 63 00:03:57,280 --> 00:03:59,880 Speaker 3: there would have been no way because there's no COVID, 64 00:04:00,240 --> 00:04:05,280 Speaker 3: no way to run the hide Kamala campaign. But they figured, well, 65 00:04:05,320 --> 00:04:07,400 Speaker 3: if we only have to do this for a couple 66 00:04:07,440 --> 00:04:10,440 Speaker 3: of months, the media will run cover for us. They'll 67 00:04:10,480 --> 00:04:13,880 Speaker 3: be that Kamala bump in favorability from the newness of 68 00:04:13,960 --> 00:04:17,760 Speaker 3: it and the not dementia pation of it. But what 69 00:04:17,800 --> 00:04:22,200 Speaker 3: are we seeing? She is losing ground. And for her 70 00:04:22,320 --> 00:04:25,320 Speaker 3: to be in a position based on all of the 71 00:04:25,400 --> 00:04:28,000 Speaker 3: numbers we saw in twenty sixteen and twenty twenty, for 72 00:04:28,040 --> 00:04:30,320 Speaker 3: her to be in a position where right now things 73 00:04:30,360 --> 00:04:33,560 Speaker 3: can change she's ahead of Trump, she would have to 74 00:04:33,560 --> 00:04:37,799 Speaker 3: be substantially better off and gaining ground in the number 75 00:04:37,960 --> 00:04:40,000 Speaker 3: in the polls than she is right now. She is 76 00:04:40,120 --> 00:04:42,520 Speaker 3: losing this race. That does not mean she has lost, 77 00:04:42,760 --> 00:04:46,000 Speaker 3: but she is losing this race. And I think now 78 00:04:46,040 --> 00:04:49,040 Speaker 3: there's this challenge of Clay. What would you normally do 79 00:04:49,440 --> 00:04:52,680 Speaker 3: when someone's behind You would try to have them get 80 00:04:52,720 --> 00:04:56,320 Speaker 3: out there on the campaign trail, knock on doors, kiss babies, 81 00:04:56,360 --> 00:04:59,400 Speaker 3: all the usual stuff. But they can't do that, right, 82 00:04:59,640 --> 00:05:01,279 Speaker 3: So yeah, what do they do to try to turn 83 00:05:01,320 --> 00:05:03,800 Speaker 3: the momentum around? I don't think they have a good answer. 84 00:05:04,279 --> 00:05:08,600 Speaker 1: Yeah, And that's where basically we are stationary. I was 85 00:05:08,640 --> 00:05:11,520 Speaker 1: talking with a couple of buddies this morning and one 86 00:05:11,560 --> 00:05:14,320 Speaker 1: of them was talking about how NFL ratings are up. 87 00:05:14,640 --> 00:05:16,200 Speaker 1: And some of you may say, Okay, well, why does 88 00:05:16,240 --> 00:05:19,960 Speaker 1: that matter. NFL ratings usually go down during the fall 89 00:05:20,000 --> 00:05:22,560 Speaker 1: of an election season. That's sort of a tried and 90 00:05:22,680 --> 00:05:27,680 Speaker 1: true aspect. What could be happening here. The theory is 91 00:05:27,720 --> 00:05:29,599 Speaker 1: that a lot of people have made up their minds 92 00:05:29,839 --> 00:05:33,200 Speaker 1: and that they are not able to gin up the 93 00:05:33,240 --> 00:05:36,760 Speaker 1: amount of interest that might have been there in the past. 94 00:05:36,920 --> 00:05:39,120 Speaker 1: So this is worth putting a pin in and thinking 95 00:05:39,120 --> 00:05:42,479 Speaker 1: about as we're under fifty days from the election, and 96 00:05:42,520 --> 00:05:44,000 Speaker 1: as some of you are going to be starting to 97 00:05:44,040 --> 00:05:47,480 Speaker 1: get your ballot soon Gallop poll. This is the other 98 00:05:47,520 --> 00:05:50,640 Speaker 1: one I wanted to hit. What's the lesson of Kamala's 99 00:05:50,720 --> 00:05:55,200 Speaker 1: political career on the national level. The more time people 100 00:05:55,360 --> 00:05:59,120 Speaker 1: spend with her, the less they like her. Buck I 101 00:05:59,160 --> 00:06:01,719 Speaker 1: got an analogy for you. I'm curious if you would 102 00:06:01,800 --> 00:06:05,400 Speaker 1: buy in if you're thinking about the twenty twenty four 103 00:06:05,480 --> 00:06:09,320 Speaker 1: election as a company, A lot of you work out 104 00:06:09,360 --> 00:06:14,080 Speaker 1: at businesses. Trump would be the founder CEO who is 105 00:06:15,000 --> 00:06:20,400 Speaker 1: outlandish at times, says ridiculous things. Many of you brash 106 00:06:20,440 --> 00:06:24,000 Speaker 1: know this person, but ultimately is right on the big 107 00:06:24,080 --> 00:06:27,159 Speaker 1: issues and that is why the company has success. A 108 00:06:27,240 --> 00:06:29,440 Speaker 1: lot of you have worked at companies like that or 109 00:06:29,480 --> 00:06:34,560 Speaker 1: you're familiar with it. Kamalo would be the VP of Diversity, 110 00:06:34,800 --> 00:06:39,160 Speaker 1: Equity and Inclusion who used to work in HR and 111 00:06:39,240 --> 00:06:42,960 Speaker 1: got promoted because of the HR investigations that she's been 112 00:06:43,000 --> 00:06:46,040 Speaker 1: a part of in the past. Who do people inside 113 00:06:46,040 --> 00:06:51,200 Speaker 1: of companies typically like the least the dei HR people 114 00:06:51,520 --> 00:06:56,280 Speaker 1: because they're constantly coming around trying to police everything that 115 00:06:56,320 --> 00:07:00,520 Speaker 1: people say, all of the relationships oded you you say 116 00:07:00,560 --> 00:07:03,960 Speaker 1: that joke, that's the people that we hate the most 117 00:07:03,960 --> 00:07:05,000 Speaker 1: inside of companies. 118 00:07:05,040 --> 00:07:08,960 Speaker 3: That's Kamala. Even in the office, Yeah, remember the Office 119 00:07:09,000 --> 00:07:12,640 Speaker 3: great show. Yes, Toby the HR guy was the the 120 00:07:12,680 --> 00:07:16,720 Speaker 3: whole running bit with him. Was everybody, especially Michael Scott 121 00:07:16,760 --> 00:07:19,760 Speaker 3: hates Toby the HR guy. Yeah, because he's kind of 122 00:07:19,800 --> 00:07:21,520 Speaker 3: the uh, the goody two shoes. 123 00:07:21,560 --> 00:07:24,360 Speaker 2: He's the office coverage, he's the office cop cop. 124 00:07:24,720 --> 00:07:26,840 Speaker 3: Yeah, he's the ark. He's the nark that prevents the 125 00:07:26,880 --> 00:07:28,080 Speaker 3: funny jokes from happening. 126 00:07:28,440 --> 00:07:28,960 Speaker 2: That's right. 127 00:07:29,360 --> 00:07:32,560 Speaker 1: I think people are coming around on that analogy. But 128 00:07:32,640 --> 00:07:38,080 Speaker 1: here's what Gallup found uh favorability ratings shift from August. 129 00:07:38,880 --> 00:07:45,800 Speaker 1: Trump's favorabilities went up five points, his unfavorable decline by two. 130 00:07:46,360 --> 00:07:49,760 Speaker 1: They found a favorability rating for Trump of forty six, 131 00:07:49,840 --> 00:07:52,280 Speaker 1: which is actually pretty good for Trump because he's generally 132 00:07:52,360 --> 00:07:55,760 Speaker 1: just a little bit under fifty all the time. Unfavorable 133 00:07:55,840 --> 00:08:00,880 Speaker 1: fifty three for a net that would be negative seven, right, Kamala. 134 00:08:01,680 --> 00:08:07,400 Speaker 1: Kamala's favorable ratings went down three, her unfavorable ratings went 135 00:08:07,600 --> 00:08:12,560 Speaker 1: up five. She's got a net positivity rating here of 136 00:08:12,680 --> 00:08:16,280 Speaker 1: minus ten according to Gallup. And this, to me, Buck 137 00:08:16,800 --> 00:08:22,760 Speaker 1: really was the staggering part. Among independent voters, Trump is 138 00:08:22,840 --> 00:08:27,520 Speaker 1: a net minus nine forty four percent positive, fifty three 139 00:08:27,600 --> 00:08:32,920 Speaker 1: percent negative, Buck Harris. Among independent voters, these are the 140 00:08:33,000 --> 00:08:36,720 Speaker 1: swing voters that are going to decide the election, thirty 141 00:08:36,760 --> 00:08:43,600 Speaker 1: five percent positive, sixty percent negative minus twenty five. That 142 00:08:43,760 --> 00:08:46,080 Speaker 1: to me, again, this is a Gallup poll that just 143 00:08:46,120 --> 00:08:50,040 Speaker 1: came out today. Also with the Atlanta Journal Constitution Battleground 144 00:08:50,120 --> 00:08:54,320 Speaker 1: pole that just came out today, that to me is 145 00:08:54,480 --> 00:08:58,679 Speaker 1: incredibly damning. Now, look, has there been a rally among Democrats, 146 00:08:58,800 --> 00:09:02,160 Speaker 1: a relief rally of sorts because they don't have Joe Biden, 147 00:09:02,200 --> 00:09:05,640 Speaker 1: who they had to acknowledge had mental and physical issues 148 00:09:05,679 --> 00:09:09,280 Speaker 1: of cognition. Yes, but I think the sugar high when 149 00:09:09,320 --> 00:09:11,480 Speaker 1: you look at these numbers. This is the change since 150 00:09:11,520 --> 00:09:15,880 Speaker 1: August has begun to register. More people spend with Kamala, 151 00:09:15,960 --> 00:09:18,719 Speaker 1: more time people spend with Kamala, the less they like her. 152 00:09:19,520 --> 00:09:23,320 Speaker 3: And this also is no surprise to any of us, right, 153 00:09:23,400 --> 00:09:26,600 Speaker 3: the same way that Biden's final collapse up there on stage, 154 00:09:26,720 --> 00:09:29,760 Speaker 3: the lie of oh he's sharpest attack, or as Joe 155 00:09:29,760 --> 00:09:34,319 Speaker 3: Scarborough said, is the sharpest he's ever been. When that 156 00:09:34,480 --> 00:09:39,200 Speaker 3: finally collapsed, we were like, yeah, of course, we've been 157 00:09:39,200 --> 00:09:42,960 Speaker 3: saying this all along. There's no surprise here, right. Kamala 158 00:09:43,120 --> 00:09:49,080 Speaker 3: Clay was viewed by the Democrat base in twenty twenty 159 00:09:49,880 --> 00:09:53,320 Speaker 3: as not even a top five contender. I mean she 160 00:09:53,520 --> 00:09:56,240 Speaker 3: was probably in the top ten, but not a top 161 00:09:56,280 --> 00:10:00,000 Speaker 3: five contender, meaning this is not somebody who I mean, 162 00:10:00,080 --> 00:10:02,120 Speaker 3: you know, look, look look at the ascent of somebody 163 00:10:02,200 --> 00:10:04,240 Speaker 3: like in Obama. The guy doesn't even finish his first 164 00:10:04,320 --> 00:10:06,800 Speaker 3: term in the Senate and he beats Hillary Clinton and 165 00:10:06,920 --> 00:10:11,000 Speaker 3: you know run the guy had political ability, Okay, I mean, 166 00:10:11,160 --> 00:10:13,400 Speaker 3: you know, was president for eight years. Not talking about 167 00:10:13,400 --> 00:10:15,160 Speaker 3: whether he was good or bad on the policies. Everybody 168 00:10:15,240 --> 00:10:17,720 Speaker 3: knows how I feel about that. But the guy could win, 169 00:10:18,000 --> 00:10:19,640 Speaker 3: and he did win. Now he didn't win for other 170 00:10:20,000 --> 00:10:24,319 Speaker 3: Democrat politicians. Obama's popularity never transferred well to the rest 171 00:10:24,320 --> 00:10:24,720 Speaker 3: of the party. 172 00:10:24,720 --> 00:10:25,640 Speaker 2: But put that aside. 173 00:10:26,240 --> 00:10:29,640 Speaker 3: Kamala Harris was viewed by Democrats as a political liability 174 00:10:29,720 --> 00:10:32,960 Speaker 3: until five minutes ago. And so now that we see that, 175 00:10:33,040 --> 00:10:36,000 Speaker 3: the more people see of her, the less they want 176 00:10:36,040 --> 00:10:40,680 Speaker 3: to support her, including the moderates or the mid swing voters, 177 00:10:40,679 --> 00:10:43,480 Speaker 3: whatever you want to call them. This is obvious, right, 178 00:10:43,679 --> 00:10:46,320 Speaker 3: This was what was supposed to happen based on what 179 00:10:46,320 --> 00:10:49,800 Speaker 3: we've already seen. And so now I just wonder, Yes, 180 00:10:49,920 --> 00:10:54,080 Speaker 3: of course there's the possibility of more October surprises, but really, 181 00:10:54,160 --> 00:10:57,040 Speaker 3: Clay Well, he's gonna say what could be an October surprise? 182 00:10:57,120 --> 00:10:58,640 Speaker 3: At this point, I don't even want to I don't 183 00:10:58,679 --> 00:11:01,680 Speaker 3: want to go there. You know, we've been in some 184 00:11:01,760 --> 00:11:04,679 Speaker 3: very dark places as a country recently. But if it's 185 00:11:04,720 --> 00:11:07,920 Speaker 3: gonna be the oh, like look what Trump said twenty 186 00:11:08,000 --> 00:11:10,520 Speaker 3: years ago, no one's gonna care. You know, the normal 187 00:11:10,679 --> 00:11:15,360 Speaker 3: last minute stuff isn't gonna work, and they can't suppress 188 00:11:15,679 --> 00:11:18,920 Speaker 3: stuff from our side. So they've both I think they've 189 00:11:18,960 --> 00:11:23,400 Speaker 3: fired every poor choice of words. They have deployed everything 190 00:11:23,480 --> 00:11:27,360 Speaker 3: they can already against Trump politically, and they also can't 191 00:11:27,440 --> 00:11:30,520 Speaker 3: suppress the truth about Kamala. And I think that X 192 00:11:30,640 --> 00:11:32,400 Speaker 3: is a big part of this. I think that X 193 00:11:32,440 --> 00:11:35,400 Speaker 3: allows for there to be an ecosystem of clips and 194 00:11:35,480 --> 00:11:38,240 Speaker 3: information and conversation, even for those of you who aren't 195 00:11:38,280 --> 00:11:41,240 Speaker 3: on it. It feeds the rest of the Internet and 196 00:11:41,320 --> 00:11:44,240 Speaker 3: the news cycle in a way that the Democrats cannot control. 197 00:11:45,080 --> 00:11:50,559 Speaker 1: I think that's true. And also you're seeing them hiding Kamala. 198 00:11:51,000 --> 00:11:53,360 Speaker 1: How many more big events are there going to be 199 00:11:53,800 --> 00:11:55,840 Speaker 1: that move in her direction? And I don't know if 200 00:11:55,880 --> 00:11:59,360 Speaker 1: you we talked about this yesterday, the number of ballots 201 00:11:59,360 --> 00:12:03,320 Speaker 1: that have been questioned in Pennsylvania, I would love to 202 00:12:03,400 --> 00:12:06,080 Speaker 1: see somebody, and if you've got a link, I would 203 00:12:06,120 --> 00:12:09,160 Speaker 1: love for you to send it to us. Have Democrats 204 00:12:09,200 --> 00:12:14,120 Speaker 1: been able to explain why the number of requested ballots 205 00:12:14,360 --> 00:12:18,040 Speaker 1: is down massively for them in twenty twenty four compared 206 00:12:18,080 --> 00:12:21,320 Speaker 1: to twenty twenty These are mail in ballots. I'm sure 207 00:12:21,400 --> 00:12:23,640 Speaker 1: the answer is going to be, well, COVID, isn't there anymore? 208 00:12:23,679 --> 00:12:27,199 Speaker 1: We're not as afraid, but the Republican numbers of requested 209 00:12:27,240 --> 00:12:31,080 Speaker 1: ballots have not changed very much. So why is the 210 00:12:31,120 --> 00:12:36,480 Speaker 1: Democrat ballot number down so massively in a state that 211 00:12:36,520 --> 00:12:40,440 Speaker 1: they won so narrowly. Again, trying to look at data 212 00:12:40,520 --> 00:12:43,760 Speaker 1: and parse that to figure out where we're headed. That 213 00:12:43,840 --> 00:12:47,600 Speaker 1: would suggest to me that there is much less enthusiasm 214 00:12:47,600 --> 00:12:49,360 Speaker 1: out there. And I don't know, Buck if you saw this. 215 00:12:49,600 --> 00:12:51,920 Speaker 1: Did you see the Nevada CBS story where they were 216 00:12:51,920 --> 00:12:54,800 Speaker 1: going around to all the diners and they basically couldn't 217 00:12:54,800 --> 00:12:58,760 Speaker 1: find anybody who supported Kamala Harris in the toss up counties. 218 00:12:59,080 --> 00:13:00,560 Speaker 2: Yeah, they were like, well, we went around. 219 00:13:00,640 --> 00:13:03,760 Speaker 1: We finally found one liberal white guy who would be like, oh, 220 00:13:03,760 --> 00:13:06,760 Speaker 1: I'm a big Kamala supporter. But everybody they talked to 221 00:13:06,880 --> 00:13:09,960 Speaker 1: in the diners on the CBS this morning, I think 222 00:13:10,000 --> 00:13:13,600 Speaker 1: it was story about this wash out county, the toss 223 00:13:13,679 --> 00:13:17,320 Speaker 1: up county. I believe in Nevada everybody was like, yeah, 224 00:13:17,440 --> 00:13:22,000 Speaker 1: we're for Trump. And so again, I just think the 225 00:13:22,120 --> 00:13:25,720 Speaker 1: numbers are starting to get ominous. And remember last week, 226 00:13:26,080 --> 00:13:29,080 Speaker 1: Kamala's people said in their briefing, if the election had 227 00:13:29,160 --> 00:13:31,200 Speaker 1: happened last week, they thought Trump would win. 228 00:13:32,840 --> 00:13:35,480 Speaker 3: I think that that's where we are. And so what 229 00:13:35,520 --> 00:13:39,920 Speaker 3: I'm trying to anticipate now is, given that reality, what 230 00:13:40,080 --> 00:13:43,880 Speaker 3: are Democrats planning? Because they you know, I think that 231 00:13:43,920 --> 00:13:47,080 Speaker 3: we know if Trump wins, they're not going to certify. 232 00:13:47,200 --> 00:13:49,679 Speaker 3: I've said this many times. I still believe this. They 233 00:13:49,720 --> 00:13:53,280 Speaker 3: will try to block certification, even if I don't think 234 00:13:53,320 --> 00:13:55,800 Speaker 3: they can really do that, but they're going to try something. 235 00:13:55,920 --> 00:13:58,920 Speaker 3: I do think will there be riots play? I mean, 236 00:13:58,920 --> 00:14:02,120 Speaker 3: will there be large riots across the country. Given how 237 00:14:02,160 --> 00:14:05,000 Speaker 3: insane the rhetoric has been around Trump, you would have 238 00:14:05,080 --> 00:14:08,160 Speaker 3: to think that there'd be anti fascist riots or something going. 239 00:14:08,240 --> 00:14:10,439 Speaker 3: You know, the people that want to shut you up 240 00:14:10,559 --> 00:14:12,480 Speaker 3: and threaten you with force are going to be having 241 00:14:12,800 --> 00:14:15,600 Speaker 3: anti fascist riots on the streets with no sense of 242 00:14:15,640 --> 00:14:16,440 Speaker 3: the irony there. 243 00:14:17,040 --> 00:14:19,520 Speaker 1: I think the challenge they have with the riots is 244 00:14:19,600 --> 00:14:24,000 Speaker 1: when you're in command. I think that might hurt them, right, 245 00:14:24,120 --> 00:14:25,920 Speaker 1: So I think the Democrats. 246 00:14:25,360 --> 00:14:28,520 Speaker 3: I'm talking after the I'm talking after it. Yeah, after 247 00:14:28,640 --> 00:14:31,000 Speaker 3: after the election, there's going to be right yeah, yeah, 248 00:14:31,600 --> 00:14:35,080 Speaker 3: I think so if Trump wins, Yeah, so that But 249 00:14:35,120 --> 00:14:37,400 Speaker 3: that's kind of what I'm seeing in the in the 250 00:14:37,520 --> 00:14:39,720 Speaker 3: in the near future here, because I don't see how 251 00:14:39,720 --> 00:14:41,840 Speaker 3: they turn it around with Kamala. I just I don't 252 00:14:42,160 --> 00:14:44,000 Speaker 3: I'm saying I don't see it. I'm not saying it's 253 00:14:44,000 --> 00:14:45,760 Speaker 3: not possible. I'm saying I don't see the pathway. 254 00:14:46,280 --> 00:14:49,880 Speaker 1: Tunnel of to Tours Foundation honors our nation's greatest heroes, 255 00:14:49,920 --> 00:14:53,800 Speaker 1: their sacrifices, and helps our nation to never forget one soldier, 256 00:14:53,920 --> 00:14:57,840 Speaker 1: Mario Nelson, who joined the National Guard after nine eleven. 257 00:14:57,880 --> 00:15:01,240 Speaker 1: He volunteered with the recovery effort to Ground Zero. Mario 258 00:15:01,400 --> 00:15:03,920 Speaker 1: was so motivated by his nine to eleven experience he 259 00:15:04,040 --> 00:15:07,960 Speaker 1: enlisted in the US Army. Sergeant Mario Nelson later deployed 260 00:15:08,000 --> 00:15:10,680 Speaker 1: to Iraq. Just two months shy of coming home, he 261 00:15:10,720 --> 00:15:13,160 Speaker 1: was killed in action at the age of just twenty 262 00:15:13,200 --> 00:15:15,760 Speaker 1: six years old. 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That's t the 269 00:15:33,840 --> 00:15:36,040 Speaker 1: number two T dot Org. 270 00:15:36,560 --> 00:15:42,120 Speaker 4: Clay Travison, Buck Sexton, Mike drops that never sounded so good. 271 00:15:42,760 --> 00:15:46,080 Speaker 4: Find them on the free iHeartRadio app or wherever you 272 00:15:46,200 --> 00:15:47,320 Speaker 4: get your podcasts. 273 00:15:47,440 --> 00:15:50,800 Speaker 3: Welcome back into Clay and Buck. Yeah, we are stacked 274 00:15:50,800 --> 00:15:53,320 Speaker 3: today with guests. We've got Mike Baker later, my former 275 00:15:53,760 --> 00:15:57,280 Speaker 3: CIA brother. They are good people. There are good people. 276 00:15:57,360 --> 00:16:00,000 Speaker 3: We'll work at the CIA. So men get very skeptic 277 00:16:00,280 --> 00:16:00,800 Speaker 3: these days. 278 00:16:00,880 --> 00:16:01,320 Speaker 2: Well we all. 279 00:16:01,440 --> 00:16:04,080 Speaker 3: Mike and I both left a long time ago, so uh. 280 00:16:04,320 --> 00:16:06,280 Speaker 3: Senator Ron Johnson it WI was constantly with us. And 281 00:16:06,280 --> 00:16:09,480 Speaker 3: then our friend Ned Ryan, who's the founder of American Majority. 282 00:16:10,400 --> 00:16:11,200 Speaker 2: Just a great dude. 283 00:16:11,760 --> 00:16:13,800 Speaker 3: His dad, you know, was like a superb athlete, you know. 284 00:16:13,960 --> 00:16:17,120 Speaker 3: I think he was an Olympian, big deal track star. 285 00:16:17,440 --> 00:16:20,200 Speaker 3: He can tell us the details, but net'll be with 286 00:16:20,280 --> 00:16:23,240 Speaker 3: us his new book, American Leviathan, which is about the 287 00:16:23,240 --> 00:16:28,880 Speaker 3: administrative state and its overreach. Clay one thing I wanted 288 00:16:28,840 --> 00:16:32,200 Speaker 3: to get into this a little bit. I am absolutely confident. 289 00:16:32,360 --> 00:16:34,240 Speaker 3: We probably don't even have time for the SoundBite here, 290 00:16:34,280 --> 00:16:36,520 Speaker 3: so we'll have to come back into it. But I 291 00:16:36,560 --> 00:16:39,720 Speaker 3: am more confident than ever. The Kamala I don't I 292 00:16:39,720 --> 00:16:42,800 Speaker 3: don't think I know. She memorized her debate answers. It 293 00:16:42,920 --> 00:16:46,160 Speaker 3: was all scripted, like she was in a high school 294 00:16:46,200 --> 00:16:50,120 Speaker 3: play and it was just go into this, go into that, 295 00:16:50,480 --> 00:16:53,440 Speaker 3: doesn't matter what you're being asked. And you're seeing a 296 00:16:53,480 --> 00:16:55,960 Speaker 3: bit of this where now every question on the economy 297 00:16:56,840 --> 00:17:00,280 Speaker 3: like a robot, every question on the economy, and she 298 00:17:00,480 --> 00:17:04,040 Speaker 3: launches into I come from a middle class family. You're like, well, 299 00:17:04,160 --> 00:17:05,840 Speaker 3: what you know, what do you think about the Fed? 300 00:17:05,960 --> 00:17:07,320 Speaker 3: But by the way, the Fed is about the lower 301 00:17:07,400 --> 00:17:09,040 Speaker 3: rates today kind of a big deal. Is it going 302 00:17:09,080 --> 00:17:10,919 Speaker 3: to be uh twenty five or fifty? 303 00:17:11,000 --> 00:17:12,960 Speaker 2: Right? That's the yep, that's the question. 304 00:17:13,400 --> 00:17:17,520 Speaker 3: That's the question. But Clay, she sits around he I 305 00:17:17,560 --> 00:17:20,080 Speaker 3: come from a middle class family. How about you know 306 00:17:20,160 --> 00:17:22,160 Speaker 3: she lives she's married to a lawyer, and she lives 307 00:17:22,200 --> 00:17:25,399 Speaker 3: in like a five million dollar mansion in Brentwood, you know, 308 00:17:25,440 --> 00:17:27,960 Speaker 3: next to all the celebrities. Like, she's not she hasn't 309 00:17:28,000 --> 00:17:29,560 Speaker 3: been in the struggle in a long time. 310 00:17:30,160 --> 00:17:32,320 Speaker 1: She wasn't in the struggle when she was a kid. 311 00:17:32,480 --> 00:17:36,119 Speaker 1: Her parents were PhDs. She lived in the richest neighborhood 312 00:17:36,200 --> 00:17:39,320 Speaker 1: in Canada. Speaking of Canada, did you see our boy? 313 00:17:39,400 --> 00:17:42,440 Speaker 1: Trudeau has a twenty percent approval rating in Canada and 314 00:17:42,480 --> 00:17:45,640 Speaker 1: they just lost a battleground district in Quebec that they 315 00:17:45,800 --> 00:17:50,040 Speaker 1: was like a foundational aspect of the Liberal policy, cautiously 316 00:17:50,080 --> 00:17:52,600 Speaker 1: optimistic that maybe our friends to the north could be 317 00:17:53,080 --> 00:17:54,800 Speaker 1: in the Midwest impactings here. 318 00:17:54,920 --> 00:17:57,960 Speaker 3: I despise Fauci Moore because of what he did to us, 319 00:17:58,200 --> 00:18:00,320 Speaker 3: but I think Trudeau may actually be. 320 00:18:00,119 --> 00:18:02,640 Speaker 2: Worse as a person, which is yes, which is. 321 00:18:02,560 --> 00:18:05,280 Speaker 3: Saying a lot. By the way, you know, look through 322 00:18:05,280 --> 00:18:07,920 Speaker 3: this program and the ones I've hosted with Clay here 323 00:18:08,400 --> 00:18:12,440 Speaker 3: for a while, I've gotten to know a financial research firm, 324 00:18:12,480 --> 00:18:15,800 Speaker 3: Stansbury Research, and they're considered to be the best independent 325 00:18:15,840 --> 00:18:19,560 Speaker 3: financial research firm out there. They just produced a really 326 00:18:19,600 --> 00:18:22,800 Speaker 3: fascinating new report. It's about how strange so called accidents 327 00:18:22,840 --> 00:18:25,520 Speaker 3: are happening across America. Reports of nine toh one call 328 00:18:25,560 --> 00:18:29,760 Speaker 3: centers going offline, a plane falling apart, mid flight, train 329 00:18:29,840 --> 00:18:33,280 Speaker 3: accidents last year, forty seven hundred train accidents. What is 330 00:18:33,320 --> 00:18:35,879 Speaker 3: going on with all these huge accidents and when is 331 00:18:35,920 --> 00:18:39,240 Speaker 3: the next big accident likely to occur one that will 332 00:18:39,280 --> 00:18:41,440 Speaker 3: really affect you If you have money in the bank 333 00:18:41,600 --> 00:18:43,680 Speaker 3: or the markets. You're not going to read or see 334 00:18:43,680 --> 00:18:47,600 Speaker 3: this story anywhere else go check it out now. Americadisaster 335 00:18:47,800 --> 00:18:51,600 Speaker 3: dot com. America disaster dot com get the full story 336 00:18:51,640 --> 00:18:55,120 Speaker 3: on America's next big accident and how to protect yourself, 337 00:18:55,200 --> 00:18:56,760 Speaker 3: your family, and your money. 338 00:18:57,520 --> 00:19:01,320 Speaker 1: Welcome back in Clay Travis but Sexton Show. Appreciate everybody 339 00:19:01,320 --> 00:19:05,159 Speaker 1: out there hanging with us. As we roll through the 340 00:19:05,280 --> 00:19:09,280 Speaker 1: Wednesday edition of the program. I want to play for 341 00:19:09,400 --> 00:19:14,560 Speaker 1: you a couple of cuts that are illustrative of this election. 342 00:19:14,840 --> 00:19:19,520 Speaker 1: I would say the number one question that most people 343 00:19:19,680 --> 00:19:24,800 Speaker 1: have in America today, what can you, as the potential 344 00:19:24,880 --> 00:19:29,600 Speaker 1: president do to keep the prices that have soared over 345 00:19:29,640 --> 00:19:32,959 Speaker 1: the past three and a half years of the Biden 346 00:19:33,040 --> 00:19:37,679 Speaker 1: Kamala administration to bring those prices back to reality. And 347 00:19:37,680 --> 00:19:40,359 Speaker 1: this is important because I think many of you feel 348 00:19:40,400 --> 00:19:45,600 Speaker 1: it most people in America, the cost of goods has 349 00:19:45,680 --> 00:19:51,920 Speaker 1: accelerated faster than your wages have increased. It's not enough 350 00:19:51,960 --> 00:19:54,560 Speaker 1: for your wages to increase. What you want to have 351 00:19:55,200 --> 00:19:58,879 Speaker 1: is more purchasing power. You want to leave the grocery 352 00:19:58,920 --> 00:20:02,840 Speaker 1: store and feel, boy, I have more money left over 353 00:20:03,119 --> 00:20:05,280 Speaker 1: at the end of this month than I thought I 354 00:20:05,400 --> 00:20:08,760 Speaker 1: was going to have because the cost of goods is 355 00:20:08,880 --> 00:20:11,399 Speaker 1: lower than your wage have been increasing. 356 00:20:11,480 --> 00:20:12,800 Speaker 2: Right, that's really the. 357 00:20:12,880 --> 00:20:17,400 Speaker 1: Essence of how to make economic progress in America. Whatever 358 00:20:17,560 --> 00:20:20,520 Speaker 1: your costs are of living, you need to have more 359 00:20:20,560 --> 00:20:22,440 Speaker 1: money in your pocket at the end of the month 360 00:20:22,880 --> 00:20:26,359 Speaker 1: than you did to pay for your cost of living. Unfortunately, 361 00:20:26,920 --> 00:20:29,560 Speaker 1: because of the rise and inflation and the resulting rise 362 00:20:29,600 --> 00:20:32,760 Speaker 1: and a cost of basically all goods, that hasn't been 363 00:20:32,760 --> 00:20:36,719 Speaker 1: the reality. So even though Kamala and Walls are trying 364 00:20:36,760 --> 00:20:42,199 Speaker 1: to avoid answering this question, they're still getting asked it 365 00:20:42,520 --> 00:20:46,040 Speaker 1: by local news media because it's what local news media 366 00:20:46,080 --> 00:20:50,040 Speaker 1: hears from their viewers as well. Yesterday, I believe it 367 00:20:50,200 --> 00:20:52,840 Speaker 1: was Tim Walls, who still hasn't done a sit down 368 00:20:52,880 --> 00:20:57,440 Speaker 1: interview for the entirety of his time as vice presidential nominee, 369 00:20:57,880 --> 00:21:01,040 Speaker 1: was asked, Hey, what you have to say for people 370 00:21:01,040 --> 00:21:03,280 Speaker 1: about the cost of goods? Listen to this answer. 371 00:21:03,400 --> 00:21:04,280 Speaker 2: Let's start with inflation. 372 00:21:04,359 --> 00:21:06,720 Speaker 3: When you tell people who wake up frankly each morning 373 00:21:06,840 --> 00:21:09,120 Speaker 3: wondering how am I going to get buy financially. 374 00:21:08,800 --> 00:21:11,199 Speaker 2: Yeah, I tell them, Kamala Harrison, I know something about it. 375 00:21:11,080 --> 00:21:13,080 Speaker 5: It being middle class folks. Our families sit at the 376 00:21:13,080 --> 00:21:14,240 Speaker 5: table trying to pay the bill. 377 00:21:15,200 --> 00:21:19,760 Speaker 1: Okay, I mean, and I want to play for you. 378 00:21:19,880 --> 00:21:23,879 Speaker 1: This is the agreed upon, memorized response to how do 379 00:21:23,960 --> 00:21:25,960 Speaker 1: you tell people who can't pay their bills? 380 00:21:26,320 --> 00:21:28,480 Speaker 2: Well, I grew up in the middle class households. 381 00:21:28,520 --> 00:21:32,520 Speaker 1: This is the agreed upon response, not any tangible action, 382 00:21:33,200 --> 00:21:35,880 Speaker 1: it's just oh, basically, I. 383 00:21:35,840 --> 00:21:36,640 Speaker 2: Feel your pain. 384 00:21:36,800 --> 00:21:39,080 Speaker 1: I had to sit at the kitchen table, these old 385 00:21:39,400 --> 00:21:43,480 Speaker 1: tired politician statements that don't actually go to the essence 386 00:21:43,520 --> 00:21:45,680 Speaker 1: at all. And I believe this is from the Jesse 387 00:21:45,800 --> 00:21:49,399 Speaker 1: Waters Show. They put together clips of Kamala using the 388 00:21:49,400 --> 00:21:52,480 Speaker 1: same line. They're reading off as Buck said earlier, a 389 00:21:52,560 --> 00:21:55,280 Speaker 1: memorized script. They're basically actors. Listen to this. 390 00:21:55,680 --> 00:21:59,280 Speaker 6: So I was raised as a middle class kid. I 391 00:21:59,280 --> 00:22:02,040 Speaker 6: grew up a middle clas. I grew up a middle class kid. 392 00:22:02,160 --> 00:22:06,000 Speaker 6: I believe in the ambition, the aspirations, the dreams of 393 00:22:06,040 --> 00:22:10,440 Speaker 6: the American people. You know, we have ambitions and aspirations 394 00:22:10,480 --> 00:22:14,880 Speaker 6: and dreams, the ambition, the aspiration, the dream. I started 395 00:22:14,920 --> 00:22:17,879 Speaker 6: my career as a prosecutor. I was a career prosecutor 396 00:22:17,880 --> 00:22:21,600 Speaker 6: for most of my career. Having a background as a prosecutor, 397 00:22:21,800 --> 00:22:27,000 Speaker 6: I intend to create an opportunity economy. Developing and creating 398 00:22:27,040 --> 00:22:30,320 Speaker 6: an opportunity economy what I imagine and believe in call 399 00:22:31,680 --> 00:22:33,119 Speaker 6: an opportunity economy. 400 00:22:34,080 --> 00:22:34,359 Speaker 2: Buck. 401 00:22:34,640 --> 00:22:38,560 Speaker 1: This is the more she talks, the less it becomes clear, 402 00:22:38,840 --> 00:22:41,120 Speaker 1: or the more it becomes clear she can't do this job. 403 00:22:41,160 --> 00:22:44,040 Speaker 1: And the reason Democrats want her is they know that, 404 00:22:44,160 --> 00:22:47,240 Speaker 1: much like Biden with dementia, they will just have her 405 00:22:47,359 --> 00:22:51,000 Speaker 1: as the figurehead, and they will have people surrounding her 406 00:22:51,200 --> 00:22:54,000 Speaker 1: who put in place all the policies that they want 407 00:22:54,040 --> 00:22:57,280 Speaker 1: to be able to implement, and she's not even intelligent 408 00:22:57,400 --> 00:23:01,320 Speaker 1: enough to oppose them. And Wall's, frankly, to me, seems 409 00:23:01,359 --> 00:23:04,760 Speaker 1: even dumber than Kamala. I think the combination of the 410 00:23:04,800 --> 00:23:08,640 Speaker 1: two is the dumbest political ticket that any of us 411 00:23:08,680 --> 00:23:11,120 Speaker 1: have ever seen in our lives. I'm not sure president 412 00:23:11,200 --> 00:23:15,080 Speaker 1: vice president have ever been less competent and frankly dumber 413 00:23:15,119 --> 00:23:15,920 Speaker 1: than this duo. 414 00:23:17,359 --> 00:23:21,639 Speaker 3: I wonder what their alternative would be. This is the 415 00:23:21,760 --> 00:23:24,640 Speaker 3: challenge of criticizing a lot of what Harrison Wallace come 416 00:23:24,680 --> 00:23:29,199 Speaker 3: forward with, because she can't tout the Biden economy or 417 00:23:29,240 --> 00:23:32,800 Speaker 3: her role in it, really because it's not good. She 418 00:23:32,880 --> 00:23:37,200 Speaker 3: can't roll out new ideas because her new ideas personal, 419 00:23:37,200 --> 00:23:39,920 Speaker 3: they're not hers, but they're bad. Things like price controls, 420 00:23:40,760 --> 00:23:45,200 Speaker 3: and she really isn't left with a whole lot of 421 00:23:46,200 --> 00:23:49,080 Speaker 3: room to say anything of any intelligence anyway, unless she's 422 00:23:49,119 --> 00:23:52,119 Speaker 3: going to steal from President Trump ideas, which he's already done. 423 00:23:52,960 --> 00:23:56,080 Speaker 3: And so they're really just going for a campaign of 424 00:23:56,119 --> 00:24:00,639 Speaker 3: emotion and slogan. And I know that's always relevant in 425 00:24:00,720 --> 00:24:05,560 Speaker 3: political campaigns, right, That's always a part of this. But 426 00:24:05,960 --> 00:24:08,240 Speaker 3: there's supposed to be other stuff, right, I mean you 427 00:24:08,280 --> 00:24:11,560 Speaker 3: could say, oh, Trump, it's all about MAGA and you know, 428 00:24:12,640 --> 00:24:16,879 Speaker 3: chance and whatever. Yeah, but okay, Trump also has very specific, 429 00:24:17,040 --> 00:24:23,520 Speaker 3: articulated and successful policies on trade, articulated, specific and successful 430 00:24:23,560 --> 00:24:28,119 Speaker 3: policies on the economy, on taxes, on manufacture. Great, you 431 00:24:28,160 --> 00:24:31,119 Speaker 3: go down this list of things. It's two sided, right. 432 00:24:31,160 --> 00:24:33,840 Speaker 3: You have the campaign of emotions and the campaign of 433 00:24:34,200 --> 00:24:39,679 Speaker 3: facts and reality, and Kama's just running a pure emotional slogan. 434 00:24:40,680 --> 00:24:44,400 Speaker 3: It's all just this kind of mirage the whole campaign. 435 00:24:44,600 --> 00:24:46,560 Speaker 3: I don't even know what I mean. Yeah, they're they're 436 00:24:46,640 --> 00:24:48,879 Speaker 3: they're great. If you just if abortion is the single 437 00:24:48,880 --> 00:24:50,960 Speaker 3: thing that matters to the absolute most in the whole world, 438 00:24:51,000 --> 00:24:54,920 Speaker 3: you're voting Kambala. They're very solid on that. On everything else, 439 00:24:55,119 --> 00:24:58,040 Speaker 3: what do they even stand for on every other issue 440 00:24:58,040 --> 00:25:00,440 Speaker 3: Clay you could point to. Doesn't that tell you about 441 00:25:00,440 --> 00:25:03,560 Speaker 3: the centrality of abortion to the Democrat mindset? On everything else? 442 00:25:03,600 --> 00:25:09,200 Speaker 3: The economy, the border, police reparations, the environment. She's done 443 00:25:09,200 --> 00:25:12,480 Speaker 3: these big switches. So I sit here and people would 444 00:25:12,480 --> 00:25:16,920 Speaker 3: ask me, what's the worst part of the Kamala platform. 445 00:25:17,400 --> 00:25:20,439 Speaker 3: It's that there really isn't a platform, not really not 446 00:25:20,520 --> 00:25:23,359 Speaker 3: of any significance. I mean, go anyway, I've gone you her website? 447 00:25:23,359 --> 00:25:24,280 Speaker 3: Have you gone her website? 448 00:25:24,359 --> 00:25:24,760 Speaker 5: Yeah? 449 00:25:24,800 --> 00:25:27,600 Speaker 3: It's I mean, I'm like, is this a political campaign? 450 00:25:27,680 --> 00:25:29,800 Speaker 3: Or am I in a store that sells like wind 451 00:25:29,880 --> 00:25:32,240 Speaker 3: chimes and healing crystals? It's bizarre. 452 00:25:33,960 --> 00:25:36,760 Speaker 1: They also, I think that's why you have to actually 453 00:25:36,840 --> 00:25:38,760 Speaker 1: just look at what she's done in office. I know 454 00:25:38,800 --> 00:25:42,080 Speaker 1: it's a radical proposition to actually hold her accountable for 455 00:25:42,119 --> 00:25:45,199 Speaker 1: what's happened while she's in office. She got asked that 456 00:25:45,280 --> 00:25:48,040 Speaker 1: question by the local Philly news guy, I don't think 457 00:25:48,040 --> 00:25:52,200 Speaker 1: we played that yesterday, But she says, well, obviously I'm 458 00:25:52,200 --> 00:25:57,520 Speaker 1: not Joe Biden. Haha, cackle. She hasn't created any real 459 00:25:57,600 --> 00:26:00,800 Speaker 1: space between herself and what Joe Biden and claimed he 460 00:26:00,840 --> 00:26:04,080 Speaker 1: would do if he were running in twenty twenty four. 461 00:26:04,160 --> 00:26:08,040 Speaker 1: In fact, they just cut and pasted the Biden platform 462 00:26:08,200 --> 00:26:11,200 Speaker 1: for the DNC, and even when they began to put 463 00:26:11,200 --> 00:26:15,679 Speaker 1: out policy proposals on their website, you could see that 464 00:26:15,720 --> 00:26:18,840 Speaker 1: they just cut and pasted it from what Biden had 465 00:26:18,880 --> 00:26:22,960 Speaker 1: suggested that he would do. And so I think the 466 00:26:23,000 --> 00:26:27,400 Speaker 1: border is a great crystallizing example of this. I tweeted 467 00:26:27,400 --> 00:26:31,840 Speaker 1: this earlier today. Kamala was asked by Axios if she 468 00:26:31,920 --> 00:26:35,560 Speaker 1: could ask answer questions about her immigration policies for five 469 00:26:35,680 --> 00:26:39,960 Speaker 1: or ten minutes. The Kamala campaign said no to Axios, 470 00:26:40,240 --> 00:26:43,600 Speaker 1: and I think what I would predict. You can grab 471 00:26:43,640 --> 00:26:46,200 Speaker 1: this and see if I'm right. In four years, if 472 00:26:46,280 --> 00:26:50,440 Speaker 1: Kamala were to win, she would do nothing to actually 473 00:26:50,520 --> 00:26:53,560 Speaker 1: close down the border over the next three and a 474 00:26:53,600 --> 00:26:58,040 Speaker 1: half years. And then come the twenty twenty eight presidential campaign, 475 00:26:58,200 --> 00:27:00,879 Speaker 1: when she decided that she was going to run, they 476 00:27:00,880 --> 00:27:04,720 Speaker 1: would try to throw forward a milk toast week border bill. 477 00:27:05,440 --> 00:27:09,280 Speaker 1: They would get some complicit Republicans to agree to it, 478 00:27:09,800 --> 00:27:12,480 Speaker 1: most Republicans would not, and then she would do what 479 00:27:12,520 --> 00:27:15,240 Speaker 1: they're trying to do in this election cycle, which is 480 00:27:15,280 --> 00:27:17,959 Speaker 1: blame Republicans for the issue at the border because they 481 00:27:18,000 --> 00:27:21,000 Speaker 1: won't sign on to the bill that they waited three 482 00:27:21,040 --> 00:27:23,760 Speaker 1: and a half years to introduce. She's not going to 483 00:27:23,800 --> 00:27:25,879 Speaker 1: go against the left link of her party. She's not 484 00:27:25,920 --> 00:27:29,119 Speaker 1: going to shut down the border. So the best prediction 485 00:27:29,400 --> 00:27:32,760 Speaker 1: for what a Kamala presidency would look like is what 486 00:27:32,800 --> 00:27:36,520 Speaker 1: we have already seen from a Biden presidency. And Biden 487 00:27:37,400 --> 00:27:40,639 Speaker 1: was by and large absent from most of his presidency 488 00:27:40,640 --> 00:27:43,600 Speaker 1: because he didn't have the mental or physical capacity to 489 00:27:43,680 --> 00:27:47,920 Speaker 1: be the leader that the nation needed. Kamala is the 490 00:27:47,960 --> 00:27:53,359 Speaker 1: shell shadow candidate that the Democrat Party needs to have 491 00:27:53,440 --> 00:27:55,359 Speaker 1: at the head of the table when they execute their 492 00:27:55,440 --> 00:27:58,560 Speaker 1: radical left wing agenda. That's the truth. That is where 493 00:27:58,560 --> 00:28:01,919 Speaker 1: we are headed. That is what will happen if she 494 00:28:02,119 --> 00:28:06,399 Speaker 1: were to manage to win this election in forty eight days. 495 00:28:06,440 --> 00:28:09,560 Speaker 1: Forty seven days, just less than seven weeks from now. 496 00:28:10,520 --> 00:28:16,000 Speaker 3: Yeah, I think that the Kamala campaign is running out 497 00:28:16,040 --> 00:28:19,560 Speaker 3: of time, that they can intentionally run off the clock, 498 00:28:19,600 --> 00:28:23,080 Speaker 3: if that makes sense, like they Yeah, usually when you're behind, 499 00:28:23,119 --> 00:28:26,120 Speaker 3: you want more time, but actually for them, they want 500 00:28:26,119 --> 00:28:28,679 Speaker 3: it to be as short as possible. And so this 501 00:28:28,760 --> 00:28:30,439 Speaker 3: is why I come back to it. It's like a 502 00:28:30,440 --> 00:28:34,240 Speaker 3: campaign trap. What can they really do because with Trump, 503 00:28:34,520 --> 00:28:36,359 Speaker 3: you can say he needs to get back on message. 504 00:28:36,400 --> 00:28:38,320 Speaker 3: He needs to have a rally here, he needs to 505 00:28:39,160 --> 00:28:40,960 Speaker 3: and you know, everyone has a million ideas of what 506 00:28:41,000 --> 00:28:42,600 Speaker 3: Trump needs to do, and you know Trump is going 507 00:28:42,680 --> 00:28:45,720 Speaker 3: to do exactly what he wants. But with Kamala Harris, 508 00:28:45,800 --> 00:28:49,120 Speaker 3: you'll notice, Claire. Look, I am an avid watcher of 509 00:28:49,160 --> 00:28:51,320 Speaker 3: Morning Joe, as everybody in this audience knows. Just so 510 00:28:51,400 --> 00:28:53,560 Speaker 3: I get the talking points from the day for the Democrats, 511 00:28:53,600 --> 00:28:58,040 Speaker 3: I know what their general Lissimo is telling the rest 512 00:28:58,200 --> 00:29:03,680 Speaker 3: of the group think collectivists in the media, and it's 513 00:29:03,720 --> 00:29:05,400 Speaker 3: not like they're all out there. You know, it's amazing, 514 00:29:05,400 --> 00:29:08,280 Speaker 3: They're not like, you know what, we need more Kamala 515 00:29:08,320 --> 00:29:11,480 Speaker 3: on the campaign trail, she just needs to take her 516 00:29:11,480 --> 00:29:14,400 Speaker 3: message to the people. I have never seen this before 517 00:29:14,440 --> 00:29:17,360 Speaker 3: the political candidate ever, even with you know, Joe Biden 518 00:29:17,400 --> 00:29:19,280 Speaker 3: in twenty twenty, it was, you know, Joe needs to 519 00:29:19,280 --> 00:29:21,640 Speaker 3: get out there and tell people about the economy in 520 00:29:21,640 --> 00:29:24,520 Speaker 3: middle class and look when he's able to string together 521 00:29:24,560 --> 00:29:27,840 Speaker 3: a coherent sentence. Joe has been practicing the same shtick 522 00:29:27,880 --> 00:29:31,280 Speaker 3: for fifty years, like he can do it with Kamala Harris, 523 00:29:31,360 --> 00:29:35,160 Speaker 3: it's all, hey, can we just keep pushing the narrative 524 00:29:35,440 --> 00:29:38,360 Speaker 3: of Donald Trump is a danger to democracy enough that 525 00:29:38,400 --> 00:29:40,920 Speaker 3: we scare enough people that they'll vote for anybody who's 526 00:29:41,120 --> 00:29:41,680 Speaker 3: not Trump. 527 00:29:42,120 --> 00:29:46,360 Speaker 1: Because Democrats know that she's incompetent, actually better than many 528 00:29:46,440 --> 00:29:49,520 Speaker 1: people that they're trying to persuade to vote for her, right, 529 00:29:49,560 --> 00:29:51,400 Speaker 1: I mean, they know, but they're the ones who said 530 00:29:51,440 --> 00:29:53,400 Speaker 1: that they wanted her kicked off the ticket because she 531 00:29:53,480 --> 00:29:55,920 Speaker 1: was a drag on Biden, and now they're saying she 532 00:29:55,960 --> 00:29:58,440 Speaker 1: should be in charge by herself for the next four years. 533 00:29:59,520 --> 00:30:03,600 Speaker 1: Remember they kept Joe Biden in as their nominee until 534 00:30:03,640 --> 00:30:06,480 Speaker 1: it became inevitable that he could not win, and then 535 00:30:06,520 --> 00:30:09,200 Speaker 1: they basically threw a hail. Mary brought in the backup 536 00:30:09,280 --> 00:30:14,160 Speaker 1: quarterback Kamala Harris. And the data reflects that as people 537 00:30:14,200 --> 00:30:17,880 Speaker 1: are learning more about her in the battleground states, they're 538 00:30:17,920 --> 00:30:20,760 Speaker 1: moving against her, and I think that's only going to 539 00:30:20,800 --> 00:30:25,840 Speaker 1: grow if again, economy, border crime, Trump keeps hammering this 540 00:30:26,360 --> 00:30:28,200 Speaker 1: as he goes out and makes the case some things 541 00:30:28,200 --> 00:30:31,120 Speaker 1: are beyond your control, like how carefully your data is 542 00:30:31,160 --> 00:30:33,800 Speaker 1: protected by the companies you do business with. Do you 543 00:30:33,840 --> 00:30:36,400 Speaker 1: know that in twenty twenty four will go down on 544 00:30:36,680 --> 00:30:40,200 Speaker 1: record as the year with the greatest number of security 545 00:30:40,280 --> 00:30:43,480 Speaker 1: and data breach victims out there. In just the first 546 00:30:43,480 --> 00:30:46,560 Speaker 1: six months, more than a billion records have been stolen 547 00:30:46,680 --> 00:30:50,600 Speaker 1: or compromised. It's important to understand how cybercrime and identity 548 00:30:50,600 --> 00:30:53,960 Speaker 1: theft are affecting our lives. Lots of places can accidentally 549 00:30:53,960 --> 00:30:57,000 Speaker 1: expose your personal information, which is why you need LifeLock. 550 00:30:57,360 --> 00:31:00,240 Speaker 1: LifeLock will monitor millions of data points a second and 551 00:31:00,280 --> 00:31:02,720 Speaker 1: for risk to your identity and if you become a 552 00:31:02,800 --> 00:31:07,040 Speaker 1: victim of identity theft, a dedicated US based restoration specialist 553 00:31:07,400 --> 00:31:10,320 Speaker 1: will work with you to fix it. It's easy to 554 00:31:10,360 --> 00:31:14,040 Speaker 1: help protect yourself with LifeLock. Join now save twenty five 555 00:31:14,080 --> 00:31:16,920 Speaker 1: percent off your first year with my name Clay. That's 556 00:31:16,920 --> 00:31:21,080 Speaker 1: Clay as your promo code. Call one eight hundred LifeLock 557 00:31:21,240 --> 00:31:24,720 Speaker 1: or go online to LifeLock dot com. Use promo code 558 00:31:24,760 --> 00:31:26,760 Speaker 1: Clay for twenty five percent off. 559 00:31:27,320 --> 00:31:31,320 Speaker 4: Have fun with the guys on Sundays the Sunday Hang podcast. 560 00:31:31,440 --> 00:31:35,280 Speaker 4: It's Silly, It's Goofy, It's good times. Fight it in 561 00:31:35,320 --> 00:31:38,440 Speaker 4: the Clay and Buck podcast feed, on the iHeartRadio app 562 00:31:38,600 --> 00:31:40,560 Speaker 4: or wherever you get your podcasts. 563 00:31:40,880 --> 00:31:43,840 Speaker 3: Welcome back in to Clay and Buck right time. To 564 00:31:43,840 --> 00:31:45,800 Speaker 3: remind everybody, I don't have the cool mug today, we're 565 00:31:45,800 --> 00:31:48,120 Speaker 3: cleaning it. But to Crockett Coffee, what you should be 566 00:31:48,200 --> 00:31:54,320 Speaker 3: drinking the coffee of patriot, freedom lovers, Trump voters, sounds 567 00:31:54,680 --> 00:31:57,960 Speaker 3: rational people go to Crocketcoffee dot com. 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When we got 577 00:32:22,240 --> 00:32:24,440 Speaker 3: new stuff coming out here soon in the weeks ahead. 578 00:32:24,440 --> 00:32:26,440 Speaker 3: I know I've been saying that, but you know, making 579 00:32:26,480 --> 00:32:29,040 Speaker 3: this stuff takes a little time. We've got some calls 580 00:32:30,320 --> 00:32:35,040 Speaker 3: we have we wait, we're taking a Kamala supporter. We 581 00:32:35,080 --> 00:32:37,320 Speaker 3: have a Kamala supporter wants to call in. Did we 582 00:32:37,360 --> 00:32:38,360 Speaker 3: ask for yesterday? 583 00:32:38,720 --> 00:32:43,480 Speaker 1: Well, I think I said, in response to the arguments 584 00:32:43,520 --> 00:32:47,000 Speaker 1: from Howard Stern. He said he hated Trump supporters and 585 00:32:47,040 --> 00:32:49,560 Speaker 1: he never wanted them to listen. I said, I would 586 00:32:49,600 --> 00:32:52,240 Speaker 1: love to have Kamala supporters listen because I think if 587 00:32:52,280 --> 00:32:55,200 Speaker 1: they listen to us over time, they'll be more likely 588 00:32:55,280 --> 00:32:57,400 Speaker 1: to vote for Republicans. 589 00:32:57,400 --> 00:33:00,680 Speaker 3: So, all right, Scott, Scott and Omaha, So you listen? 590 00:33:01,720 --> 00:33:04,000 Speaker 1: You listen regularly to the show, Scott, and you're a 591 00:33:04,080 --> 00:33:04,880 Speaker 1: Kamala supporter. 592 00:33:06,600 --> 00:33:09,400 Speaker 5: I wouldn't say regularly, but I do turned hand and 593 00:33:09,560 --> 00:33:11,680 Speaker 5: listen to it on occasion. That's true. 594 00:33:12,200 --> 00:33:14,440 Speaker 3: Are you okay to voting for Trump? Which I have 595 00:33:14,480 --> 00:33:16,360 Speaker 3: so many questions? Are you open to voting for Trump? 596 00:33:16,400 --> 00:33:18,240 Speaker 3: Or are you definitely in for Kamala this election? 597 00:33:19,680 --> 00:33:21,440 Speaker 5: Definitely in for Paris? 598 00:33:21,880 --> 00:33:25,520 Speaker 1: Okay, So what has Kamala? You're in Omaha, which is 599 00:33:25,560 --> 00:33:29,520 Speaker 1: in theory an electoral district that could matter. They split 600 00:33:29,560 --> 00:33:31,720 Speaker 1: in Nebraska, so it's not winner or take all. So 601 00:33:31,800 --> 00:33:35,680 Speaker 1: Omaha is a battleground. What do you like not? What 602 00:33:35,720 --> 00:33:39,120 Speaker 1: do you dislike about Trump? What do you like about 603 00:33:39,200 --> 00:33:41,760 Speaker 1: Kamala and think she has done a good job of 604 00:33:41,840 --> 00:33:45,080 Speaker 1: such that you want to support her? 605 00:33:46,320 --> 00:33:49,600 Speaker 5: Well, there's a multiple, multiple of things about Trump. 606 00:33:49,440 --> 00:33:52,200 Speaker 1: That Okay, I didn't say about Trump? I said, what 607 00:33:52,240 --> 00:33:54,280 Speaker 1: do you like about that? I understand that you might 608 00:33:54,320 --> 00:33:57,360 Speaker 1: not like Trump. But what has Kamala done? She's in 609 00:33:57,440 --> 00:33:59,760 Speaker 1: office right now for three and a half years, right, 610 00:34:00,080 --> 00:34:02,360 Speaker 1: What can you point to that she has done and 611 00:34:02,440 --> 00:34:04,920 Speaker 1: you think she's done a good job of such that 612 00:34:05,040 --> 00:34:12,880 Speaker 1: she has earned your support? Insulin price was dropped down, No, 613 00:34:13,000 --> 00:34:15,359 Speaker 1: it was already taken care of. The insulin thing is 614 00:34:15,400 --> 00:34:18,160 Speaker 1: not true. Trump was involved in that too, So let's 615 00:34:18,200 --> 00:34:20,000 Speaker 1: take that off the board. What else has she done? 616 00:34:20,800 --> 00:34:22,160 Speaker 5: What do you mean that it's not true? 617 00:34:23,200 --> 00:34:25,120 Speaker 1: And you can go fact check the end? Hold on, 618 00:34:25,160 --> 00:34:27,839 Speaker 1: you can go fact check the insulin thing yourself. I'm 619 00:34:27,840 --> 00:34:29,680 Speaker 1: taking that off the board. You can trust me or 620 00:34:29,719 --> 00:34:31,160 Speaker 1: not trust me, but you can go look it up. 621 00:34:31,200 --> 00:34:34,080 Speaker 1: What else has kamalad done as vice president three and 622 00:34:34,120 --> 00:34:36,400 Speaker 1: a half years in office that she has won year vote? 623 00:34:38,520 --> 00:34:41,160 Speaker 2: Inflation is coming down, okay. 624 00:34:40,840 --> 00:34:44,760 Speaker 1: But hold on inflation. Hold on, inflation was one point 625 00:34:44,800 --> 00:34:48,399 Speaker 1: four percent when she came into office. It went all 626 00:34:48,440 --> 00:34:51,880 Speaker 1: the way to nine point one percent. It's still double 627 00:34:52,400 --> 00:34:56,280 Speaker 1: right now today what it was when Trump left office 628 00:34:56,320 --> 00:34:58,920 Speaker 1: and she came into office. So you're giving her credit 629 00:34:58,960 --> 00:34:59,960 Speaker 1: for doubling inflation. 630 00:35:02,000 --> 00:35:04,600 Speaker 5: See This is why I do listen to you. But 631 00:35:04,840 --> 00:35:10,759 Speaker 5: you're just solidifying my response on choosing Harris, because I 632 00:35:10,840 --> 00:35:12,640 Speaker 5: wouldn't matter what I say. 633 00:35:13,400 --> 00:35:15,360 Speaker 2: You know, no, I'm asking you. You have you have 634 00:35:15,480 --> 00:35:16,960 Speaker 2: yet to give give me a reason. 635 00:35:17,040 --> 00:35:20,319 Speaker 1: I'm I'm open to you persuading our audience why they 636 00:35:20,320 --> 00:35:23,000 Speaker 1: should vote for Kamala. But what is your reason? What 637 00:35:23,239 --> 00:35:23,719 Speaker 1: else do you have? 638 00:35:23,880 --> 00:35:25,319 Speaker 3: Why don't we ask? Well, what do you give us 639 00:35:25,320 --> 00:35:27,200 Speaker 3: your top two or three reasons? You can listen them 640 00:35:27,239 --> 00:35:28,080 Speaker 3: and then we'll deal with them. 641 00:35:28,080 --> 00:35:33,520 Speaker 5: Go ahead, she's more presidential, he says that. 642 00:35:33,560 --> 00:35:38,080 Speaker 3: Okay, she what okay, cares about the middle class, he said, 643 00:35:38,120 --> 00:35:39,120 Speaker 3: and then give me one more. 644 00:35:41,000 --> 00:35:45,960 Speaker 5: She's trying to increase first time home buyers. 645 00:35:46,480 --> 00:35:48,600 Speaker 3: Okay, all right, I appreciate it. First of all, thank 646 00:35:48,600 --> 00:35:50,200 Speaker 3: you for the fact you listened from time to time. 647 00:35:50,280 --> 00:35:53,200 Speaker 3: We do appreciate and no, I know we we let 648 00:35:53,280 --> 00:35:55,640 Speaker 3: you listen them. I appreciate it. We're not going to 649 00:35:55,719 --> 00:35:57,239 Speaker 3: argue with you on it because there's two of us 650 00:35:57,239 --> 00:35:58,960 Speaker 3: and that's not fair. We're gonna talk over you, but 651 00:35:59,040 --> 00:36:01,080 Speaker 3: we will address what you're saying here. Thank you for 652 00:36:01,120 --> 00:36:03,680 Speaker 3: calling in. Look, I appreciate that we have people even 653 00:36:03,719 --> 00:36:05,520 Speaker 3: who are still going to vote for Kama listening, let's 654 00:36:05,520 --> 00:36:08,560 Speaker 3: just say clearly, we're very interesting radio hosts, all right, 655 00:36:08,640 --> 00:36:11,319 Speaker 3: so let's just throw that out there. But I would 656 00:36:11,360 --> 00:36:13,320 Speaker 3: say this, and I would say this to our caller 657 00:36:13,360 --> 00:36:15,480 Speaker 3: now that I'm not talking over interrupting him or you know, 658 00:36:15,520 --> 00:36:18,680 Speaker 3: going back and forth with him, Clay, everything that he's 659 00:36:18,680 --> 00:36:22,840 Speaker 3: listening is basically an emotional feel she's more presidential, she 660 00:36:23,000 --> 00:36:25,920 Speaker 3: cares about the middle class. It's exactly what I was saying. 661 00:36:26,560 --> 00:36:28,520 Speaker 3: What is she going to do that will actually help 662 00:36:29,000 --> 00:36:31,640 Speaker 3: in any way any of these people? And I just 663 00:36:31,680 --> 00:36:34,320 Speaker 3: think people have to look at whether they're emotionally connected 664 00:36:34,360 --> 00:36:38,520 Speaker 3: to Kamala Harris or the Democrat Party and if there's 665 00:36:38,520 --> 00:36:41,000 Speaker 3: any actual substance behind what they like, that's the question. 666 00:36:41,960 --> 00:36:43,080 Speaker 2: Here's what I would say. 667 00:36:43,120 --> 00:36:46,120 Speaker 1: I think this goes to the essence, what has Kamala 668 00:36:46,239 --> 00:36:50,960 Speaker 1: done that you believe deserves giving her a promotion to 669 00:36:51,080 --> 00:36:51,879 Speaker 1: a bigger job. 670 00:36:52,120 --> 00:36:53,880 Speaker 2: The answer is nothing.