1 00:00:01,920 --> 00:00:05,600 Speaker 1: Welcome in our number three Klay Travis buck Sexton show. 2 00:00:05,640 --> 00:00:08,200 Speaker 1: Appreciate all of you hanging out with us. We are 3 00:00:08,840 --> 00:00:12,600 Speaker 1: now doing the final hour before what might be the 4 00:00:12,640 --> 00:00:17,400 Speaker 1: final debate of the twenty twenty four presidential election. Trump 5 00:00:17,520 --> 00:00:20,079 Speaker 1: knocked out Joe Biden, as we all know, on June 6 00:00:20,160 --> 00:00:22,680 Speaker 1: twenty seventh. It's crazy to think about everything that has 7 00:00:22,760 --> 00:00:26,880 Speaker 1: happened in this country since June twenty seventh assassination attempt 8 00:00:26,880 --> 00:00:30,560 Speaker 1: on Trump. July thirteenth, Biden drops out of the race. 9 00:00:30,680 --> 00:00:34,480 Speaker 1: July twenty first, Kamala Harris, now the nominee for over 10 00:00:34,600 --> 00:00:37,440 Speaker 1: fifty days, barely has talked to the media at all. 11 00:00:38,000 --> 00:00:41,080 Speaker 1: One sit down interview with CNN with Tim Wall sitting 12 00:00:41,120 --> 00:00:44,920 Speaker 1: beside her, and now we are on to what may 13 00:00:44,960 --> 00:00:48,360 Speaker 1: well be the only debate between these two candidates. Trump 14 00:00:48,479 --> 00:00:51,720 Speaker 1: proposed multiple debates, including one that was supposed to be 15 00:00:51,720 --> 00:00:55,000 Speaker 1: moderated by Martha McCollum and Brett Bayer on Fox New 16 00:00:55,080 --> 00:00:58,320 Speaker 1: September fourth. Kamala was afraid to do it. Trump has 17 00:00:58,360 --> 00:01:00,960 Speaker 1: agreed to one later in the year, but now I 18 00:01:00,960 --> 00:01:03,400 Speaker 1: would say the fact that Kamala hasn't agreed to it 19 00:01:03,480 --> 00:01:06,280 Speaker 1: at all. If things go well, tonight and Trump is 20 00:01:06,319 --> 00:01:08,560 Speaker 1: in the lead, and he is maintaining his lead, and 21 00:01:08,600 --> 00:01:11,800 Speaker 1: that is what his internal polls show that. I don't 22 00:01:11,800 --> 00:01:14,039 Speaker 1: think it makes sense at all for Trump to do 23 00:01:14,080 --> 00:01:16,640 Speaker 1: a second debate again. We'll have to assess how this 24 00:01:16,720 --> 00:01:20,280 Speaker 1: first one goes. But Buck, as we teased and went 25 00:01:20,400 --> 00:01:24,120 Speaker 1: to break, I said that you and I would give 26 00:01:24,319 --> 00:01:26,880 Speaker 1: our best one or two or three or whatever the 27 00:01:26,959 --> 00:01:32,920 Speaker 1: number is points of advice for Trump against Kamala. I 28 00:01:32,959 --> 00:01:36,319 Speaker 1: will start. I've been on this for some time. I 29 00:01:36,319 --> 00:01:39,520 Speaker 1: think the most important thing for Trump to do is 30 00:01:39,680 --> 00:01:44,040 Speaker 1: actually return every time he can to the economy, to 31 00:01:44,200 --> 00:01:49,920 Speaker 1: border and to crime, the actual issues, and force Kamala 32 00:01:50,000 --> 00:01:53,880 Speaker 1: to be responsible for the fact that she is wrong 33 00:01:53,920 --> 00:01:56,280 Speaker 1: on all those things. And I actually thought, Bill O'Reilly, 34 00:01:56,640 --> 00:01:59,160 Speaker 1: encourage you to go download the podcasting, search out my name, 35 00:01:59,200 --> 00:02:01,920 Speaker 1: Clay Travishings or child Buck Sexton, make sure that you 36 00:02:01,960 --> 00:02:05,800 Speaker 1: didn't miss anything. I actually thought his echoing of a 37 00:02:05,800 --> 00:02:09,239 Speaker 1: famous line from Ronald Reagan in nineteen eighty is actually important, 38 00:02:09,560 --> 00:02:11,919 Speaker 1: and it kind of reverberates in two ways for me. 39 00:02:12,120 --> 00:02:15,440 Speaker 1: One Reagan memorably asked, Carter, are you better off now 40 00:02:15,480 --> 00:02:18,160 Speaker 1: than you were four years ago? Every single American has 41 00:02:18,200 --> 00:02:23,800 Speaker 1: to say no after the Kamala Biden administration. I also 42 00:02:23,919 --> 00:02:28,040 Speaker 1: think I legitimately can't name one thing that Kamala Harris 43 00:02:28,080 --> 00:02:32,080 Speaker 1: has done well since she got into office. And that's 44 00:02:32,120 --> 00:02:35,640 Speaker 1: not me trying to speak in hyperbole. I can't name 45 00:02:36,000 --> 00:02:38,919 Speaker 1: one thing, even if I were trying to be incredibly 46 00:02:39,000 --> 00:02:42,200 Speaker 1: generous to her, that her actions have made better in 47 00:02:42,240 --> 00:02:45,520 Speaker 1: the United States. COVID is better now, for instance, than 48 00:02:45,520 --> 00:02:47,920 Speaker 1: it was in twenty twenty one, but that's mostly just 49 00:02:47,919 --> 00:02:51,000 Speaker 1: because people have gotten saner and come back to their 50 00:02:51,040 --> 00:02:54,600 Speaker 1: regular lives. Other than that, Buck, can you point to 51 00:02:54,680 --> 00:02:59,440 Speaker 1: anything since January of twenty twenty one that you think 52 00:02:59,480 --> 00:03:02,359 Speaker 1: hey by done a pretty good job on this? I 53 00:03:02,760 --> 00:03:05,560 Speaker 1: legitimately can't even point to anything that Biden and Kamala 54 00:03:05,600 --> 00:03:08,160 Speaker 1: have made better. I think to the extent that Trump 55 00:03:08,200 --> 00:03:10,560 Speaker 1: goes back to that again and again and again, make 56 00:03:10,639 --> 00:03:14,320 Speaker 1: that your foundational aspect of this debate, He's going to 57 00:03:14,520 --> 00:03:19,119 Speaker 1: at worst tie and guarantee that Kamala can't win, which 58 00:03:19,160 --> 00:03:20,880 Speaker 1: is important considering he's in the league. 59 00:03:22,000 --> 00:03:26,160 Speaker 2: Look, I think that Trump uh the most important thing 60 00:03:26,200 --> 00:03:28,080 Speaker 2: he can do in this debate other. 61 00:03:27,919 --> 00:03:30,280 Speaker 1: Than the decorum and and. 62 00:03:31,520 --> 00:03:34,920 Speaker 2: Style aspects of this we've talked about, which is basically, 63 00:03:35,440 --> 00:03:37,600 Speaker 2: you know, don't don't lose your cool, don't let her 64 00:03:37,600 --> 00:03:39,360 Speaker 2: go under your skin. And we know what when Trump 65 00:03:39,440 --> 00:03:42,320 Speaker 2: loses cool, it's not that he doesn't get flustered, or 66 00:03:42,640 --> 00:03:45,600 Speaker 2: it's that he starts taking big. He's nasty, right, and 67 00:03:45,920 --> 00:03:48,440 Speaker 2: he can he's he can get. You know, if you 68 00:03:48,480 --> 00:03:50,160 Speaker 2: get in the mud with Trump, he'll jump right in 69 00:03:50,160 --> 00:03:52,400 Speaker 2: the mud, right. So we're hoping that that doesn't happen. 70 00:03:52,440 --> 00:03:55,920 Speaker 2: But the important stuff just say, look look at the 71 00:03:55,960 --> 00:03:58,120 Speaker 2: economy and look at the trajectory of the country when 72 00:03:58,160 --> 00:04:01,120 Speaker 2: I was president. We're going to do it again. So 73 00:04:01,640 --> 00:04:03,040 Speaker 2: we're going to do it again. I think is an 74 00:04:03,040 --> 00:04:05,840 Speaker 2: important theme for him to hit, meaning everyone's going to 75 00:04:05,880 --> 00:04:07,800 Speaker 2: be making more money. You know, prices are going to 76 00:04:07,840 --> 00:04:10,960 Speaker 2: come down, conomy's going to be thriving, energy production is 77 00:04:11,000 --> 00:04:14,280 Speaker 2: going to skyrocket, all the things that he's already proven 78 00:04:14,360 --> 00:04:17,520 Speaker 2: he can do. I think that any pivots to Kamala 79 00:04:17,600 --> 00:04:20,960 Speaker 2: is the number two of a failed administration, such a 80 00:04:21,040 --> 00:04:24,520 Speaker 2: failure that they don't even have an incumbent president running 81 00:04:24,520 --> 00:04:27,760 Speaker 2: for reelection. I think that says a lot. So Kamala 82 00:04:28,000 --> 00:04:30,760 Speaker 2: is the number two of a failure. Why do you 83 00:04:30,760 --> 00:04:33,039 Speaker 2: want to make her the number one of her own 84 00:04:33,120 --> 00:04:36,400 Speaker 2: failure for four more years? And then I think it's 85 00:04:36,400 --> 00:04:39,200 Speaker 2: important for Trump to just point out that that, you know, 86 00:04:39,440 --> 00:04:41,880 Speaker 2: he's he tells American people who he is and what 87 00:04:41,920 --> 00:04:45,280 Speaker 2: he wants to do, and that Kamala Harris's entire campaign 88 00:04:45,920 --> 00:04:49,440 Speaker 2: is about hiding who she is, lying about her record, 89 00:04:49,880 --> 00:04:54,160 Speaker 2: and being dishonest about what she would really do if 90 00:04:54,160 --> 00:04:56,760 Speaker 2: she had four years in the White House. And I 91 00:04:56,760 --> 00:04:58,640 Speaker 2: think he hits. I think that one of the best 92 00:04:58,680 --> 00:04:59,840 Speaker 2: ways to do that is to bring up the b 93 00:05:00,080 --> 00:05:03,240 Speaker 2: order issue specifically and just say ten he's I said 94 00:05:03,240 --> 00:05:06,560 Speaker 2: it yesterday, Clay ten million plus ten million. Yeah, if 95 00:05:06,600 --> 00:05:09,479 Speaker 2: someone told me that Biden was going to allow ten 96 00:05:09,600 --> 00:05:11,760 Speaker 2: million plus maybe. 97 00:05:11,560 --> 00:05:12,960 Speaker 1: It's twelve million in whatever. 98 00:05:13,000 --> 00:05:16,200 Speaker 2: The actual number is ten million plus illegals into the 99 00:05:16,240 --> 00:05:19,400 Speaker 2: country in four years. And you know, I follow this 100 00:05:19,400 --> 00:05:21,599 Speaker 2: issue very closely for a long time. I would have said, 101 00:05:21,640 --> 00:05:23,360 Speaker 2: I think that's high. I think that's hot. Yeah, I 102 00:05:23,400 --> 00:05:25,279 Speaker 2: think it might be you know, three or four million, 103 00:05:25,320 --> 00:05:27,680 Speaker 2: which is a which is a ton. I don't think 104 00:05:27,720 --> 00:05:29,039 Speaker 2: it's going to be ten plus. 105 00:05:28,839 --> 00:05:31,760 Speaker 1: Ten plus million in four And you know, I. 106 00:05:31,920 --> 00:05:33,320 Speaker 2: Got into this a little bit yesterday with you were 107 00:05:33,320 --> 00:05:35,640 Speaker 2: talking about the TPS and I even tweeted something about it, 108 00:05:35,680 --> 00:05:36,920 Speaker 2: and I was like, oh, that's not true. 109 00:05:36,960 --> 00:05:37,760 Speaker 1: No, it is true. 110 00:05:38,240 --> 00:05:44,080 Speaker 2: Biden has found new and creative ways to abuse executive 111 00:05:44,120 --> 00:05:48,320 Speaker 2: authority to bring in, not even just allow in, to 112 00:05:48,640 --> 00:05:51,640 Speaker 2: bring in people. There are people are filling out, you know, 113 00:05:51,720 --> 00:05:54,160 Speaker 2: on an app Oh yeah, I need asylum in America, 114 00:05:54,200 --> 00:05:56,560 Speaker 2: and then they're legally coming into the country. They're lying 115 00:05:56,600 --> 00:05:59,080 Speaker 2: about their asylum claim. They're never going to get expelled 116 00:05:59,120 --> 00:06:03,719 Speaker 2: once they get here. Disaster hammering on the border because 117 00:06:03,720 --> 00:06:06,279 Speaker 2: it touches on so much of the economy, and on crime, 118 00:06:06,400 --> 00:06:09,200 Speaker 2: and on sovereignty and the rule of law. 119 00:06:09,920 --> 00:06:10,919 Speaker 1: That's what I hope Trump. 120 00:06:10,960 --> 00:06:12,560 Speaker 2: I mean, if he does those things, I think that's 121 00:06:12,560 --> 00:06:14,039 Speaker 2: as much as you can ask for, and he comes 122 00:06:14,080 --> 00:06:15,720 Speaker 2: away way out ahead. 123 00:06:16,320 --> 00:06:20,400 Speaker 1: I think, focusing on the amount of money that we 124 00:06:20,520 --> 00:06:23,960 Speaker 1: are now spending. Using that revelation that, to their credit, 125 00:06:24,040 --> 00:06:29,760 Speaker 1: CNN reported on yesterday Kamala and addressing her, Look, we 126 00:06:29,839 --> 00:06:33,920 Speaker 1: can't take care of the white, Black, Asian and Hispanic 127 00:06:34,000 --> 00:06:37,240 Speaker 1: people who are citizens of the United States that need 128 00:06:37,279 --> 00:06:40,200 Speaker 1: the help of this country to be able to take 129 00:06:40,200 --> 00:06:43,720 Speaker 1: care of themselves and their families. We don't have the money. 130 00:06:44,640 --> 00:06:50,240 Speaker 1: She said she wants to give illegal immigrants sex change 131 00:06:50,360 --> 00:06:57,360 Speaker 1: surgery paid for by tax payers. That is so banana 132 00:06:57,480 --> 00:07:02,840 Speaker 1: lan bonkers crazy to me that I think it cuts 133 00:07:02,960 --> 00:07:07,760 Speaker 1: through much of the noise associated with the border. Sometimes 134 00:07:08,520 --> 00:07:12,360 Speaker 1: you need a sentence that really kind of sums up 135 00:07:12,560 --> 00:07:16,080 Speaker 1: how broken a policy can be, because it gets right 136 00:07:16,160 --> 00:07:19,960 Speaker 1: to the essence of things. We can't take care of 137 00:07:20,000 --> 00:07:22,920 Speaker 1: our veterans in this country, and we're going to be 138 00:07:23,000 --> 00:07:28,560 Speaker 1: paying to change the genitals of illegal immigrants when they 139 00:07:28,600 --> 00:07:30,480 Speaker 1: come into the country a verst All. I don't know 140 00:07:30,480 --> 00:07:34,240 Speaker 1: how many illegal immigrants want to change their gender, but 141 00:07:34,360 --> 00:07:37,760 Speaker 1: the fact that the Democrat Party would actually have any 142 00:07:37,880 --> 00:07:44,320 Speaker 1: members who would even think to do this is absolutely insane. 143 00:07:44,760 --> 00:07:46,480 Speaker 2: I would have to dig into it a little bit, 144 00:07:46,560 --> 00:07:51,320 Speaker 2: but my spidey sense is that a part of it 145 00:07:51,520 --> 00:07:54,880 Speaker 2: was they've been lying about the asylum claim so much 146 00:07:54,920 --> 00:07:57,120 Speaker 2: that everyone's figuring out and saying, you have a credible 147 00:07:57,120 --> 00:08:00,880 Speaker 2: fear of violence in filling the blank country. A lot 148 00:08:00,880 --> 00:08:04,040 Speaker 2: of countries, especially to our south, are very violent, very corrupt, 149 00:08:04,080 --> 00:08:04,760 Speaker 2: and very violent. 150 00:08:04,880 --> 00:08:05,000 Speaker 1: HM. 151 00:08:06,360 --> 00:08:09,320 Speaker 2: That doesn't mean that you actually qualify for asylum, because 152 00:08:09,320 --> 00:08:12,760 Speaker 2: otherwise all of Venezuela could get asylum, right, but if 153 00:08:12,800 --> 00:08:16,840 Speaker 2: you are going to start claiming that you are trans 154 00:08:17,360 --> 00:08:20,920 Speaker 2: and you're being haabinated against and you're being discriminated against, 155 00:08:21,360 --> 00:08:23,640 Speaker 2: and that you need to start the process of at 156 00:08:23,720 --> 00:08:27,760 Speaker 2: least going through you know, the therapy or whatever it is, now, 157 00:08:27,880 --> 00:08:31,960 Speaker 2: you maybe can actually have your asylum claim heard and 158 00:08:32,000 --> 00:08:35,240 Speaker 2: you could come out winning on the asylum issue. And 159 00:08:35,280 --> 00:08:38,080 Speaker 2: I think that's why. Basically, I think it is the 160 00:08:38,240 --> 00:08:41,640 Speaker 2: plan of Democrats. And I mean this, and as crazy 161 00:08:41,640 --> 00:08:43,320 Speaker 2: as this may sound, ten years ago, I was like, 162 00:08:43,320 --> 00:08:45,560 Speaker 2: you know, they're going to let guys just manhandle women 163 00:08:45,559 --> 00:08:47,040 Speaker 2: in sports and they're going to be fine with it, 164 00:08:47,040 --> 00:08:50,360 Speaker 2: and everyone's like, no way, yes, way. They want America 165 00:08:50,440 --> 00:08:54,480 Speaker 2: to be the global refuge for people who claim that 166 00:08:54,520 --> 00:08:58,760 Speaker 2: they are discriminated against because they are pan sexual or 167 00:08:58,840 --> 00:09:03,640 Speaker 2: non binary, which is fascinating because like, how do you. 168 00:09:03,679 --> 00:09:07,959 Speaker 1: Prove that, how do you disprove it or what is it? 169 00:09:08,120 --> 00:09:11,679 Speaker 2: You know, so it effectively becomes one more loophole, and obviously, 170 00:09:11,760 --> 00:09:15,040 Speaker 2: you know, being trans goes into this the same bucket, 171 00:09:15,120 --> 00:09:17,439 Speaker 2: so to speak. So that's what I see. But yeah, Clay, 172 00:09:17,520 --> 00:09:19,560 Speaker 2: back to the initial point what Kama said about that 173 00:09:19,640 --> 00:09:23,000 Speaker 2: is absolutely crazy and she can't be allowed to get 174 00:09:23,000 --> 00:09:26,640 Speaker 2: away with the My principles have remained the same. How 175 00:09:26,640 --> 00:09:30,320 Speaker 2: does that work? Exactly like what my values? My values 176 00:09:30,360 --> 00:09:32,440 Speaker 2: haven't changed, my value. I'm sorry, that's what she said, 177 00:09:32,480 --> 00:09:35,320 Speaker 2: My values haven't changed. Well, if your values haven't changed, 178 00:09:35,360 --> 00:09:36,600 Speaker 2: why have your position's changed. 179 00:09:36,760 --> 00:09:39,920 Speaker 1: Yeah, it's an easy follow up, of course, that Dana 180 00:09:39,960 --> 00:09:43,280 Speaker 1: Bash didn't ask my one liner advice to Trump, And 181 00:09:43,280 --> 00:09:45,520 Speaker 1: I said this an hour one. I'll echo it again. 182 00:09:46,600 --> 00:09:48,840 Speaker 1: I really think he would win the debate. And this 183 00:09:49,040 --> 00:09:52,800 Speaker 1: was a listener reader suggestion sent in to me. I 184 00:09:52,840 --> 00:09:55,400 Speaker 1: try to read emails, even if I don't respond. I 185 00:09:55,480 --> 00:09:58,080 Speaker 1: try to read everything that I get. And he wrote 186 00:09:58,120 --> 00:10:00,120 Speaker 1: in and he said, and I think it's true that 187 00:10:00,160 --> 00:10:03,280 Speaker 1: if Trump started off the debate tonight, whatever the first 188 00:10:03,360 --> 00:10:05,760 Speaker 1: question is, by saying before I answer that, I just 189 00:10:05,800 --> 00:10:08,120 Speaker 1: want to say something is probably going to shock a 190 00:10:08,160 --> 00:10:12,480 Speaker 1: lot of people. Thank you, Kamala Harris, because if you 191 00:10:12,679 --> 00:10:15,719 Speaker 1: hadn't been such a disaster at the border, and if 192 00:10:15,760 --> 00:10:18,439 Speaker 1: you hadn't let over ten million people come in illegally, 193 00:10:18,800 --> 00:10:22,320 Speaker 1: I wouldn't have had that graphic with me in Pennsylvania. 194 00:10:23,160 --> 00:10:26,520 Speaker 1: When I turned to look at it, that saved my life. 195 00:10:27,200 --> 00:10:30,560 Speaker 1: Your failure at the border to allow ten million people 196 00:10:30,559 --> 00:10:31,920 Speaker 1: in was so baved his life. 197 00:10:31,960 --> 00:10:33,720 Speaker 2: You really think you should tell Kamala thank you for 198 00:10:33,760 --> 00:10:35,360 Speaker 2: saving my life. I don't know, Clay, I think that 199 00:10:35,440 --> 00:10:37,560 Speaker 2: might actually work. That might be a little weird. It 200 00:10:37,600 --> 00:10:39,600 Speaker 2: might be a little little Actually. 201 00:10:39,240 --> 00:10:43,600 Speaker 1: Kamal has saved my life. Everybody, your border failures saved 202 00:10:43,640 --> 00:10:46,640 Speaker 1: my life, but unfortunately they've cost a lot of other 203 00:10:46,640 --> 00:10:50,880 Speaker 1: people their lives. I think it would be a ooh, 204 00:10:51,080 --> 00:10:53,840 Speaker 1: like just bringing home because the only reason he's not 205 00:10:53,920 --> 00:10:57,319 Speaker 1: dead is because he turned his head to look at 206 00:10:57,320 --> 00:11:01,080 Speaker 1: the graphic of all of the legal immigrants that came 207 00:11:01,120 --> 00:11:03,560 Speaker 1: into this nation. If he didn't have that graphic, he'd 208 00:11:03,559 --> 00:11:08,880 Speaker 1: be dead. I mean that is because Kama has done 209 00:11:08,920 --> 00:11:11,400 Speaker 1: such a bad job. And I think it would pop. 210 00:11:11,480 --> 00:11:14,680 Speaker 1: I think it would draw attention, and I think it 211 00:11:14,679 --> 00:11:18,520 Speaker 1: puts her immediately on the defensive to try to explain 212 00:11:18,640 --> 00:11:21,840 Speaker 1: why she now wants a border and why she has pivoted, 213 00:11:22,080 --> 00:11:25,720 Speaker 1: and why she is panicked as she tries to pretend 214 00:11:25,760 --> 00:11:28,120 Speaker 1: that all of the things that she previously supported she 215 00:11:28,200 --> 00:11:30,200 Speaker 1: no longer supports. Will take some of your calls, by 216 00:11:30,200 --> 00:11:32,600 Speaker 1: the way, eight hundred and two A two two eight 217 00:11:32,640 --> 00:11:36,560 Speaker 1: A two and a lot of you, I think have 218 00:11:36,640 --> 00:11:38,040 Speaker 1: a lot of things that you want to weigh in on. 219 00:11:38,240 --> 00:11:39,880 Speaker 1: And again we're gonna get you a little bit more 220 00:11:39,920 --> 00:11:43,160 Speaker 1: information about what's been going on in the Springfield, Ohio area, 221 00:11:43,200 --> 00:11:47,320 Speaker 1: which has become a flashpoint for the immigration changes that 222 00:11:47,360 --> 00:11:49,040 Speaker 1: are taking place all over the country. We're going to 223 00:11:49,080 --> 00:11:53,600 Speaker 1: talk to Warren Davidson who represents the area near Springfield, 224 00:11:53,679 --> 00:11:58,480 Speaker 1: Ohio that has been so overrun with Haitian immigrants that's 225 00:11:58,480 --> 00:12:02,920 Speaker 1: still and again we'll take your calls as we break 226 00:12:03,000 --> 00:12:06,920 Speaker 1: all of that down and more, and maybe some women 227 00:12:06,920 --> 00:12:08,920 Speaker 1: out there want to weigh in on the great debate 228 00:12:09,000 --> 00:12:12,600 Speaker 1: so far today of whether Kamala Harris being the mistress 229 00:12:12,640 --> 00:12:16,040 Speaker 1: the side chick of married man Willie Brown could have 230 00:12:16,120 --> 00:12:20,360 Speaker 1: an impact in some undecided voters. But first, Buck, what 231 00:12:20,400 --> 00:12:25,840 Speaker 1: have you got for us? Well? Fall hunting seasons coming up, folks. 232 00:12:26,160 --> 00:12:28,680 Speaker 2: You're looking forward to those days off getting up in 233 00:12:28,720 --> 00:12:32,120 Speaker 2: the tree stand or being in the deer blind. Take 234 00:12:32,160 --> 00:12:35,440 Speaker 2: the time to investigate the next new rifle you're going 235 00:12:35,480 --> 00:12:39,319 Speaker 2: to upgrade to with Bear Creek Arsenal company based on 236 00:12:39,440 --> 00:12:41,880 Speaker 2: North Carolina. I've been up there, been to their facility 237 00:12:41,920 --> 00:12:44,520 Speaker 2: been shooting with the founders of the company. They're great people. 238 00:12:44,800 --> 00:12:49,439 Speaker 2: They've got decades of experience in crafting and manufacturing top 239 00:12:49,520 --> 00:12:52,520 Speaker 2: quality firearms, and many of the rifles are manufactured in 240 00:12:52,520 --> 00:12:54,320 Speaker 2: such a way that you can actually change out the 241 00:12:54,400 --> 00:12:56,600 Speaker 2: upper parts of the rifles. You can get an upper 242 00:12:56,640 --> 00:13:00,040 Speaker 2: and change it out on your current system, and that 243 00:13:00,040 --> 00:13:02,440 Speaker 2: way you can get multiple calibers out of the same 244 00:13:02,440 --> 00:13:05,840 Speaker 2: shooting platform. It's incredible. They're really well known for their uppers, 245 00:13:05,840 --> 00:13:10,199 Speaker 2: but their full rifles are fantastic too, and you can 246 00:13:10,200 --> 00:13:12,680 Speaker 2: get exactly what you want at a great price. You 247 00:13:12,720 --> 00:13:15,000 Speaker 2: can save ten percent off your first order when you 248 00:13:15,120 --> 00:13:18,000 Speaker 2: use my name Buck as your coupon code when you 249 00:13:18,000 --> 00:13:22,160 Speaker 2: go to Bear Creek Arsenal dot com. That's Bear Creek 250 00:13:22,280 --> 00:13:24,640 Speaker 2: Arsenal dot com coupon code. 251 00:13:24,320 --> 00:13:30,400 Speaker 1: Buck Clay Travison, Buck Sexton. Mic drops that never sounded 252 00:13:30,600 --> 00:13:34,480 Speaker 1: so good. Find them on the free iHeartRadio app or 253 00:13:34,559 --> 00:13:36,319 Speaker 1: wherever you get your podcasts. 254 00:13:36,559 --> 00:13:39,079 Speaker 3: This is an actual statement given to NBC News from 255 00:13:39,080 --> 00:13:42,200 Speaker 3: the Springfield, Ohio Police Force quote. There have been no 256 00:13:42,280 --> 00:13:46,079 Speaker 3: credible reports or specific claims of pets being harmed, injured, 257 00:13:46,200 --> 00:13:49,680 Speaker 3: or abused by individuals within the immigrant community. Now, the 258 00:13:49,720 --> 00:13:52,720 Speaker 3: Springfield News Sun did know that one hundred and seventy 259 00:13:52,800 --> 00:13:55,600 Speaker 3: five miles away from there, there was reportedly a bizarre 260 00:13:55,640 --> 00:13:58,360 Speaker 3: incident of one woman who was charged with cruelty to 261 00:13:58,520 --> 00:14:01,800 Speaker 3: companion animals for allegedly killing and eating a cat. But 262 00:14:01,880 --> 00:14:04,120 Speaker 3: there's no evidence she is an immigrant. She definitely wasn't 263 00:14:04,120 --> 00:14:07,080 Speaker 3: living in Springfield, and that one crazy story hardly warrants 264 00:14:07,080 --> 00:14:09,600 Speaker 3: a claim that Vice President Harrison immigrants are out to. 265 00:14:09,640 --> 00:14:10,480 Speaker 1: Kill all of your pets. 266 00:14:10,640 --> 00:14:14,080 Speaker 3: Not only is this right wing conspiracy theory totally falls 267 00:14:14,160 --> 00:14:17,240 Speaker 3: and obviously completely xenophobic, it's really not helping the perception 268 00:14:17,320 --> 00:14:19,840 Speaker 3: out there that Jade Vance, Donald Trump and the rest 269 00:14:19,840 --> 00:14:21,720 Speaker 3: of their party are just playing weird. 270 00:14:23,240 --> 00:14:27,000 Speaker 2: The weird thing from Jensaki. Again, I think they laid 271 00:14:27,000 --> 00:14:29,320 Speaker 2: off that a little bit after Tim Walls was making 272 00:14:29,320 --> 00:14:29,760 Speaker 2: the rounds. 273 00:14:29,760 --> 00:14:31,440 Speaker 1: Everyone's like, this guy is a weirdo. 274 00:14:32,720 --> 00:14:37,040 Speaker 2: I also think that, in classic straw Man fashion, you 275 00:14:37,160 --> 00:14:43,480 Speaker 2: have the former White House Press secretary exaggerating what the 276 00:14:43,520 --> 00:14:47,480 Speaker 2: claims are and ignoring the evidence that she doesn't. Like, Okay, 277 00:14:47,720 --> 00:14:50,000 Speaker 2: you know, we're talking about whether there were pets that 278 00:14:50,080 --> 00:14:52,840 Speaker 2: have been you know, captured and eaten or ducks in 279 00:14:52,880 --> 00:14:53,720 Speaker 2: the Park or whatever. 280 00:14:53,760 --> 00:14:54,560 Speaker 1: People have said. 281 00:14:56,000 --> 00:14:59,480 Speaker 2: Some of the citizens of the town of Springfield, Ohio 282 00:14:59,600 --> 00:15:01,600 Speaker 2: have gone on the record publicly and said this has 283 00:15:01,640 --> 00:15:03,640 Speaker 2: happened to them where people that they know. 284 00:15:03,840 --> 00:15:05,680 Speaker 1: So, you know, I don't know. 285 00:15:05,720 --> 00:15:09,120 Speaker 2: Apparently MSNBC knows more than they do of what's happening 286 00:15:09,160 --> 00:15:09,760 Speaker 2: in Springfield. 287 00:15:10,120 --> 00:15:10,960 Speaker 1: But what we do know. 288 00:15:11,160 --> 00:15:17,680 Speaker 2: Without question is there are twenty thousand Haitian TPS recipients 289 00:15:17,720 --> 00:15:21,240 Speaker 2: temporary protected status and people they understand and I know 290 00:15:21,280 --> 00:15:25,200 Speaker 2: everyone gets all fired up about this. It is a 291 00:15:25,320 --> 00:15:30,520 Speaker 2: legal status conferred upon people temporarily, the same way that 292 00:15:30,560 --> 00:15:34,640 Speaker 2: if you are waiting your asylum hearing, you are, in essence, 293 00:15:34,880 --> 00:15:37,320 Speaker 2: it's kind of a limbo, but you're legally waiting for 294 00:15:37,400 --> 00:15:40,280 Speaker 2: an asylum hearing. This is how we get all caught 295 00:15:40,360 --> 00:15:44,720 Speaker 2: up in this stuff. But they are under TPS, twenty 296 00:15:44,800 --> 00:15:50,040 Speaker 2: thousand Haitians in the Springfield, Ohio area. They are overcrowding resources, 297 00:15:50,080 --> 00:15:53,880 Speaker 2: they are causing lots of problems in terms of public 298 00:15:53,960 --> 00:15:57,920 Speaker 2: services and a whole range of other things. And Democrats 299 00:15:58,480 --> 00:16:01,120 Speaker 2: basically just turn around and say your xenophobic or you're 300 00:16:01,200 --> 00:16:04,080 Speaker 2: racist or both. I mean, that's the answer to everything 301 00:16:04,120 --> 00:16:07,680 Speaker 2: with this. But we'll talk to a congressman from just 302 00:16:08,680 --> 00:16:11,120 Speaker 2: in the Springfield area. Here Clay in a moment and 303 00:16:11,160 --> 00:16:13,880 Speaker 2: ask him, look, what's going on. We always want the facts, 304 00:16:13,880 --> 00:16:16,400 Speaker 2: we want the truth. We're not in all places at 305 00:16:16,400 --> 00:16:18,880 Speaker 2: all times. If people say this happened in my backyard 306 00:16:19,000 --> 00:16:22,240 Speaker 2: and they're going to public forums and saying that, I 307 00:16:22,280 --> 00:16:23,960 Speaker 2: think we can report of that and say that someone 308 00:16:24,000 --> 00:16:24,360 Speaker 2: said this. 309 00:16:24,320 --> 00:16:28,160 Speaker 1: Happen to them in their backyard. This also is driving 310 00:16:28,640 --> 00:16:32,360 Speaker 1: democrats crazy, which must mean that it's having some impact 311 00:16:32,480 --> 00:16:36,040 Speaker 1: on them. Here's Eric Swaalwell a little bit earlier, who 312 00:16:36,120 --> 00:16:40,080 Speaker 1: slept with a Chinese spy losing his mind about Trump. 313 00:16:40,200 --> 00:16:44,240 Speaker 1: Cat and duck. Memes that he is upset are spreading 314 00:16:44,360 --> 00:16:47,880 Speaker 1: on social media. Listen, what in the hell is this? 315 00:16:48,720 --> 00:16:53,320 Speaker 4: The chairman tweets protect our ducks and kittens in Ohio 316 00:16:53,440 --> 00:16:57,360 Speaker 4: because he goes some down, goes down some crazy rabbit hole, 317 00:16:57,760 --> 00:17:00,400 Speaker 4: completely debunked that alien. 318 00:17:00,200 --> 00:17:06,520 Speaker 1: Are eating pets. My god, are you okay. 319 00:17:06,240 --> 00:17:08,760 Speaker 4: Mister chairman. I don't know why you would do this. 320 00:17:09,160 --> 00:17:10,080 Speaker 1: I hope you're okay. 321 00:17:10,880 --> 00:17:14,880 Speaker 4: I don't know if the aliens who are eating your 322 00:17:14,960 --> 00:17:18,240 Speaker 4: ducks are in the room with us right now, But 323 00:17:18,520 --> 00:17:20,439 Speaker 4: mister Chairman, this. 324 00:17:20,359 --> 00:17:21,399 Speaker 1: Is a serious issue. 325 00:17:21,560 --> 00:17:25,280 Speaker 4: These people have loved ones who have been lost, and 326 00:17:25,320 --> 00:17:26,080 Speaker 4: you tweeted this. 327 00:17:28,280 --> 00:17:30,760 Speaker 1: I mean he is so I mean I think he's 328 00:17:30,840 --> 00:17:35,040 Speaker 1: legitimately very dumb buck, but also he has no sense 329 00:17:35,119 --> 00:17:41,280 Speaker 1: of humor satire ability, like objectively whatever you think about this. Yeah, 330 00:17:42,000 --> 00:17:45,199 Speaker 1: cat and duck memes are hysterical. I don't even know 331 00:17:45,280 --> 00:17:47,880 Speaker 1: what Fang Fang saw on him, you know, looking back 332 00:17:47,920 --> 00:17:51,920 Speaker 1: on it now, maybe his fank access to Congress. Feng 333 00:17:52,000 --> 00:17:56,400 Speaker 1: Fang may well have been eating some cats or ducks 334 00:17:56,440 --> 00:18:00,840 Speaker 1: back into her life. Who know, it's fun. That's what 335 00:18:00,880 --> 00:18:04,160 Speaker 1: he gets all riled up about all of the memes. 336 00:18:04,200 --> 00:18:09,240 Speaker 1: They're overwhelming. Prize picks. Look, it's a sports fan's paradise 337 00:18:09,359 --> 00:18:12,600 Speaker 1: right now. There's so much going on. 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Use my name Clay. 348 00:18:40,600 --> 00:18:44,560 Speaker 1: Get fifty dollars instantly when you play five dollars. That's 349 00:18:44,640 --> 00:18:48,159 Speaker 1: code Clay on Prize Picks. You don't even need to 350 00:18:48,240 --> 00:18:52,280 Speaker 1: win to receive the fifty dollars bonus. It's guaranteed Prize Picks. 351 00:18:52,680 --> 00:18:57,320 Speaker 1: Run your game code Clay for fifty bucks today. Welcome 352 00:18:57,400 --> 00:19:00,879 Speaker 1: back in Clay Travis buck Sexton Show. Oh hope all 353 00:19:00,920 --> 00:19:04,119 Speaker 1: of you are having a fantastic Tuesday. I hope that 354 00:19:04,240 --> 00:19:07,359 Speaker 1: you are layering up, if necessary, on some caffeine to 355 00:19:07,400 --> 00:19:09,800 Speaker 1: be able to stay up. Tonight nine pm Eastern on 356 00:19:09,960 --> 00:19:13,440 Speaker 1: the East Coast, ten thirty will be the ending time 357 00:19:13,480 --> 00:19:15,320 Speaker 1: in Theory, probably a little bit past that. We are 358 00:19:15,400 --> 00:19:19,160 Speaker 1: joined now by Congressman Warren Davidson of Ohio. I don't 359 00:19:19,160 --> 00:19:21,359 Speaker 1: know if you have seen the clip of Eric Swalwell 360 00:19:21,480 --> 00:19:25,560 Speaker 1: going crazy talking about all the Trump kitten and duck memes. 361 00:19:26,160 --> 00:19:28,359 Speaker 1: They are hysterical for those of you out there that 362 00:19:28,400 --> 00:19:32,080 Speaker 1: are not active on social media. Many people have decided 363 00:19:32,119 --> 00:19:38,040 Speaker 1: to have fun with the kitten and duck allegations coming 364 00:19:38,040 --> 00:19:42,840 Speaker 1: out of Springfield, Ohio. With outrageous, outlandish and frankly hysterical 365 00:19:42,880 --> 00:19:47,720 Speaker 1: memes of Donald Trump saving kittens and ducks. Eric Swalwell 366 00:19:47,800 --> 00:19:50,640 Speaker 1: is very angry. But what in the world is actually 367 00:19:50,680 --> 00:19:55,560 Speaker 1: going on? Congressman, you represent this area just beside it 368 00:19:56,400 --> 00:20:00,639 Speaker 1: where all of this chaos has been unfurling asociated with 369 00:20:01,080 --> 00:20:06,520 Speaker 1: immigrants overloading. I believe it's Springfield, Ohio. What is actually 370 00:20:06,560 --> 00:20:09,720 Speaker 1: going on? What are you seeing in the community. What 371 00:20:09,760 --> 00:20:12,760 Speaker 1: can you tell us about the impact of in many 372 00:20:12,800 --> 00:20:18,320 Speaker 1: ways unrestrained immigration in your congressional district and nearby areas. 373 00:20:19,000 --> 00:20:21,040 Speaker 5: Yeah, thanks for having me on, really and honored to 374 00:20:21,080 --> 00:20:23,000 Speaker 5: join you all. And look, I too have enjoyed some 375 00:20:23,080 --> 00:20:26,240 Speaker 5: of the humor that's been out there, and in particular 376 00:20:26,480 --> 00:20:31,040 Speaker 5: as JD vance is now has childless cat ladies are 377 00:20:31,240 --> 00:20:34,880 Speaker 5: part of the JD vance fan club again, So we're 378 00:20:35,240 --> 00:20:38,160 Speaker 5: on track with the team that's going to save the kittens. 379 00:20:39,240 --> 00:20:41,919 Speaker 5: But the reality is on the ground. You know, Springfield's 380 00:20:41,920 --> 00:20:45,920 Speaker 5: a great community of about sixty thousand people, long time 381 00:20:46,040 --> 00:20:49,560 Speaker 5: manufacturing community, a lot like what you know Ohio has 382 00:20:49,640 --> 00:20:52,280 Speaker 5: experienced with you know, quote the rust Belt for a time, 383 00:20:52,320 --> 00:20:55,280 Speaker 5: you had great factory jobs for a long time, and 384 00:20:55,480 --> 00:20:58,040 Speaker 5: as the economy changed, a lot of things got hollowed out, 385 00:20:58,040 --> 00:21:01,000 Speaker 5: and communities had to change. Field has done a great 386 00:21:01,080 --> 00:21:04,879 Speaker 5: job of attracting investment. They're growing nicely and for a 387 00:21:04,920 --> 00:21:08,120 Speaker 5: long time they've had All of western Ohio has had 388 00:21:08,119 --> 00:21:10,760 Speaker 5: the challenge. We could grow faster if we could just 389 00:21:10,840 --> 00:21:14,560 Speaker 5: get a strong workforce. And you know, as you look 390 00:21:14,600 --> 00:21:18,040 Speaker 5: at the immigrant population that wants to work, they're attracted 391 00:21:18,080 --> 00:21:21,199 Speaker 5: to places that have jobs, and you know Springfield has that, 392 00:21:22,240 --> 00:21:25,679 Speaker 5: most of western Ohio has that, and and so you 393 00:21:25,680 --> 00:21:27,720 Speaker 5: could see why, you know, people that are coming here, 394 00:21:27,760 --> 00:21:30,320 Speaker 5: if they want to work, they would come someplace like Springfield, Ohio. 395 00:21:30,760 --> 00:21:33,760 Speaker 5: The challenge has been the bite administration has had just 396 00:21:33,800 --> 00:21:37,360 Speaker 5: an open border process that's flooded our country with lots 397 00:21:37,400 --> 00:21:40,400 Speaker 5: of people who are illegals. They've abused the refugee process. 398 00:21:40,880 --> 00:21:42,840 Speaker 5: And the challenge in Springfield isn't it just that the 399 00:21:42,880 --> 00:21:46,880 Speaker 5: initial refugee comes. It's that each person can bring through 400 00:21:46,960 --> 00:21:50,480 Speaker 5: chain migration, like six family members, and so that has 401 00:21:50,520 --> 00:21:53,680 Speaker 5: a you know, be fruitful and multiply kind of effect 402 00:21:54,040 --> 00:21:56,119 Speaker 5: at a rapid pace. I mean, if a family is 403 00:21:56,160 --> 00:21:58,879 Speaker 5: fruitful and multiplies, it takes a generation to raise the kids. 404 00:22:00,080 --> 00:22:02,840 Speaker 5: When you bring in somebody into the country, even if 405 00:22:02,880 --> 00:22:06,560 Speaker 5: they have the most credible claim to refugee status that 406 00:22:06,600 --> 00:22:09,159 Speaker 5: you could imagine. If you can bring six times as 407 00:22:09,200 --> 00:22:11,720 Speaker 5: many more people in right away, it's easy to see 408 00:22:11,760 --> 00:22:14,119 Speaker 5: how one community gets overwhelmed. And that's what's going on 409 00:22:14,119 --> 00:22:16,720 Speaker 5: on the ground in Springfield. If you brought twenty thousand 410 00:22:16,720 --> 00:22:20,280 Speaker 5: people from California, it would overwhelm a community of sixty 411 00:22:20,320 --> 00:22:22,919 Speaker 5: thousand people. And the culture in California is a little different, 412 00:22:23,280 --> 00:22:25,480 Speaker 5: safe to say, the culture in Haiti is a whole 413 00:22:25,560 --> 00:22:27,320 Speaker 5: lot different than the culture in spring To, Ohio. 414 00:22:28,840 --> 00:22:33,160 Speaker 2: So when you see these stories, congressmen and people are 415 00:22:33,280 --> 00:22:38,640 Speaker 2: concerned about this, it sounds like there is an understandable 416 00:22:39,119 --> 00:22:42,119 Speaker 2: friction that could happen with such a massive change in 417 00:22:42,160 --> 00:22:45,760 Speaker 2: the area, or rather that this is what people could expect. 418 00:22:47,400 --> 00:22:51,480 Speaker 2: Are you seeing that there's any help coming from either 419 00:22:51,480 --> 00:22:54,760 Speaker 2: the state or the federal government to assist with some 420 00:22:54,880 --> 00:22:57,400 Speaker 2: of this. I mean you're talking about things like overcrowding 421 00:22:57,440 --> 00:23:01,040 Speaker 2: and hospitals and schools and things like that. It sounds 422 00:23:01,040 --> 00:23:03,400 Speaker 2: like the community is just left to bear the burden. 423 00:23:04,560 --> 00:23:07,159 Speaker 5: Yeah, that's the real problem. Look, the federal government clearly 424 00:23:07,200 --> 00:23:10,919 Speaker 5: isn't being helpful. They're causing the problem to be worse, 425 00:23:10,960 --> 00:23:16,120 Speaker 5: frankly and very unsympathetic. They're not responsive even when local 426 00:23:16,200 --> 00:23:19,720 Speaker 5: law enforcement wants to raise issues for the people that 427 00:23:19,840 --> 00:23:23,800 Speaker 5: are illegal. Even in those cases, the federal government's not responsive. 428 00:23:24,160 --> 00:23:26,600 Speaker 5: The challenge of in the state hasn't been incredibly helpful either. 429 00:23:26,680 --> 00:23:28,919 Speaker 5: There are a lot of resources. Look, some of this 430 00:23:29,000 --> 00:23:32,520 Speaker 5: is driven by federal policy, where every refugee is getting 431 00:23:32,560 --> 00:23:35,560 Speaker 5: six hundred to sixteen hundred dollars in cash assistance for 432 00:23:35,600 --> 00:23:39,560 Speaker 5: the Refugee Cash Assistance Program, and they're automatically eligible for 433 00:23:39,680 --> 00:23:43,440 Speaker 5: every means tested program that America has. So you've got 434 00:23:43,440 --> 00:23:48,160 Speaker 5: individual refugees who are newly arrived, let's say, straight from Haiti, 435 00:23:48,600 --> 00:23:52,960 Speaker 5: and they're getting more federal benefit than you've got people 436 00:23:53,000 --> 00:23:55,400 Speaker 5: that worked a lifetime and put money into Social Security 437 00:23:55,400 --> 00:23:59,000 Speaker 5: and Medicare. So they're eligible for every kind of program 438 00:23:59,040 --> 00:24:01,240 Speaker 5: that you could imagine. And there are flaws at the 439 00:24:01,240 --> 00:24:03,280 Speaker 5: federal level, but there are things at the state level 440 00:24:03,320 --> 00:24:07,280 Speaker 5: that schools are being told they need to admit. You know, 441 00:24:07,359 --> 00:24:10,960 Speaker 5: Haitians that appear to be twenty years old as freshmen 442 00:24:11,000 --> 00:24:14,760 Speaker 5: in high school, and you know that's causing problems you've 443 00:24:14,800 --> 00:24:18,959 Speaker 5: got massive influx of people that can't speak English and 444 00:24:19,040 --> 00:24:21,919 Speaker 5: so no resources for translators. It's safe to say we 445 00:24:21,960 --> 00:24:26,680 Speaker 5: don't have a lot of local you know, native speakers 446 00:24:26,720 --> 00:24:30,880 Speaker 5: for Haiti in western Ohio, and so we need resources 447 00:24:30,880 --> 00:24:32,639 Speaker 5: from the federal and state government to be able to 448 00:24:32,680 --> 00:24:35,199 Speaker 5: do some of those things. And you know, look, I 449 00:24:35,400 --> 00:24:38,600 Speaker 5: used to represent that district. Under the new redistricting. That's 450 00:24:38,800 --> 00:24:40,560 Speaker 5: a different members of Congress, but I think the whole 451 00:24:40,600 --> 00:24:44,480 Speaker 5: delegation is united and saying, look, we recognize that there 452 00:24:44,520 --> 00:24:47,959 Speaker 5: are legitimate refugees and other places around the world, we 453 00:24:48,000 --> 00:24:51,320 Speaker 5: want to be a welcoming place for people that come legally. 454 00:24:51,800 --> 00:24:54,000 Speaker 5: But really what you're seeing is the limits of even 455 00:24:54,119 --> 00:24:58,720 Speaker 5: legal immigration, where you are very sympathetic, are being tested 456 00:24:58,760 --> 00:25:01,240 Speaker 5: here and a big part of it is that migration problem. 457 00:25:01,760 --> 00:25:05,200 Speaker 1: We're talking to. Congressman Warren Davidson. The New York Times, 458 00:25:05,760 --> 00:25:09,719 Speaker 1: among others, has said that everything being said about Springfield, 459 00:25:09,720 --> 00:25:14,119 Speaker 1: Ohio is basically made up. We played yesterday many of 460 00:25:14,160 --> 00:25:18,639 Speaker 1: the viral clips from the town city council meeting of 461 00:25:18,720 --> 00:25:22,360 Speaker 1: people laying out what they are saying For people out 462 00:25:22,400 --> 00:25:25,120 Speaker 1: there who read The New York Times. Congressman and say, oh, 463 00:25:25,200 --> 00:25:28,959 Speaker 1: this is all a made up story. I believe a 464 00:25:29,000 --> 00:25:33,040 Speaker 1: young kid was killed by a Haitian immigrant on his 465 00:25:33,119 --> 00:25:36,280 Speaker 1: way to the first day of school. That occurred, It's 466 00:25:36,280 --> 00:25:38,960 Speaker 1: happening in districts all over the place. But what would 467 00:25:38,960 --> 00:25:40,639 Speaker 1: you say to the New York Times is of the 468 00:25:40,680 --> 00:25:43,360 Speaker 1: world that have decided to parachute in on this story 469 00:25:43,400 --> 00:25:45,320 Speaker 1: and say this isn't true. 470 00:25:46,600 --> 00:25:49,520 Speaker 5: Yeah, I mean, they're not trustworthy sources. The controlled media 471 00:25:49,600 --> 00:25:53,320 Speaker 5: continues to cover for the Biden administration on every front. 472 00:25:53,359 --> 00:25:56,840 Speaker 5: I mean, they've continually lied. We know they're lying, they 473 00:25:56,880 --> 00:26:00,119 Speaker 5: know we know they're lying, and they keep lying. This 474 00:26:00,200 --> 00:26:02,520 Speaker 5: is just another instance where they're whatever they need to 475 00:26:02,560 --> 00:26:05,880 Speaker 5: say to cover for the Biden Harris administration. They're going 476 00:26:05,920 --> 00:26:08,480 Speaker 5: to say the reality is coming out under the ground 477 00:26:08,520 --> 00:26:11,040 Speaker 5: and talk to people, and you know, you'll find people 478 00:26:11,040 --> 00:26:13,200 Speaker 5: in the community that are fed up and don't want 479 00:26:13,240 --> 00:26:15,439 Speaker 5: anybody to come, whether they're legal or not. But you 480 00:26:15,520 --> 00:26:18,080 Speaker 5: also find people that are like, yeah, I'm sympathetic. I 481 00:26:18,200 --> 00:26:20,200 Speaker 5: understand how bad of a place Haiti is right now. 482 00:26:20,280 --> 00:26:22,280 Speaker 5: We want to welcome them. But let's not pretend, well, 483 00:26:22,320 --> 00:26:25,080 Speaker 5: you're not being overwhelmed here. We've got issues to deal 484 00:26:25,119 --> 00:26:28,520 Speaker 5: with and to say that all of these things are false, 485 00:26:29,400 --> 00:26:32,919 Speaker 5: that itself is clearly false, and so it's not rising 486 00:26:32,920 --> 00:26:36,439 Speaker 5: to this attention because it's some manufactured story. The reality 487 00:26:36,520 --> 00:26:38,720 Speaker 5: is this is what people in the community are dealing with. 488 00:26:40,400 --> 00:26:42,639 Speaker 2: Congressman, appreciate you being with us. Thanks so much for 489 00:26:42,680 --> 00:26:43,320 Speaker 2: making the time. 490 00:26:43,800 --> 00:26:45,159 Speaker 5: Yeah, thank you guys for highlighting it. 491 00:26:46,680 --> 00:26:48,560 Speaker 1: We come back. We'll take some of your calls eight 492 00:26:48,680 --> 00:26:51,520 Speaker 1: hundred and two two eight A two roll you into 493 00:26:51,720 --> 00:26:54,399 Speaker 1: the final fifteen minutes of this show before the debate. 494 00:26:54,800 --> 00:26:58,280 Speaker 1: Undoubtedly we'll spend tomorrow reacting to all of the big 495 00:26:58,359 --> 00:27:02,280 Speaker 1: takeaways from the debate. But soon are going to be 496 00:27:02,320 --> 00:27:04,240 Speaker 1: going up to New York. I'm going to be playing 497 00:27:04,240 --> 00:27:07,159 Speaker 1: in the charity golf Challenge for Tunnel to Towers. We 498 00:27:07,200 --> 00:27:09,920 Speaker 1: are planning on being at the gala event to raise 499 00:27:09,920 --> 00:27:12,080 Speaker 1: money for Tunnel to Towers as part of what we're 500 00:27:12,119 --> 00:27:15,200 Speaker 1: doing with Crockett, buying a table and trying to support 501 00:27:15,240 --> 00:27:17,480 Speaker 1: them with the profits that we're making on our company. 502 00:27:18,200 --> 00:27:21,240 Speaker 1: And tomorrow, as many of you know, is a very 503 00:27:21,280 --> 00:27:23,879 Speaker 1: somber day in New York City, Washington, d C. In 504 00:27:23,960 --> 00:27:28,520 Speaker 1: Somerset County, Pennsylvania, because it is the anniversary of September eleventh, 505 00:27:28,560 --> 00:27:31,080 Speaker 1: and Tunnel the Towers has been doing everything they can 506 00:27:31,200 --> 00:27:33,679 Speaker 1: to honor the lives of those men and women we 507 00:27:33,840 --> 00:27:37,960 Speaker 1: lost on that tragic day twenty three years ago. Now 508 00:27:38,359 --> 00:27:42,360 Speaker 1: they've provided surviving families with mortgage free homes wherever possible. 509 00:27:42,359 --> 00:27:46,679 Speaker 1: They're teaching kids in schools about the unfortunate events of 510 00:27:46,800 --> 00:27:49,520 Speaker 1: nine to eleven so every generation can learn about the 511 00:27:49,560 --> 00:27:54,119 Speaker 1: heroism and patriotism of so many first responders, and Tunnel 512 00:27:54,160 --> 00:27:57,600 Speaker 1: the Towers nine to eleven curriculum units have scripted lessons, 513 00:27:57,600 --> 00:28:01,320 Speaker 1: background for teachers, activities for students based on first person 514 00:28:01,359 --> 00:28:04,680 Speaker 1: accounts and designed to meet many academic standards. Nine to 515 00:28:04,680 --> 00:28:08,840 Speaker 1: eleven Institute offers the Discovering Heroes book series for distributions 516 00:28:08,840 --> 00:28:13,600 Speaker 1: and schools. Also a mobile exhibit with nine to eleven artifacts. 517 00:28:13,640 --> 00:28:16,479 Speaker 1: I know it's crazy as it is for many of 518 00:28:16,520 --> 00:28:19,119 Speaker 1: you and for us as well, to think that it 519 00:28:19,200 --> 00:28:21,919 Speaker 1: has been twenty three years since that tragic day in 520 00:28:21,960 --> 00:28:24,399 Speaker 1: our nation's history. We have to make sure that we 521 00:28:24,520 --> 00:28:28,200 Speaker 1: keep our nations promised and never forget. Donate eleven dollars 522 00:28:28,240 --> 00:28:31,160 Speaker 1: a month to Tunnel the Towers at t twot dot org. 523 00:28:31,440 --> 00:28:36,440 Speaker 1: That's t the number two t dot org, learn laugh 524 00:28:36,680 --> 00:28:39,640 Speaker 1: and join us on the weekend on our Sunday Hang 525 00:28:39,840 --> 00:28:42,720 Speaker 1: with Clay and Fuck podcast Fight It on the iHeart 526 00:28:42,760 --> 00:28:44,960 Speaker 1: appam or wherever you get your podcasts. 527 00:28:45,120 --> 00:28:47,440 Speaker 2: Big debate coming up tonight. So we're closing up shop 528 00:28:47,520 --> 00:28:49,520 Speaker 2: for now on Clay and Buck. We will be watching, 529 00:28:50,160 --> 00:28:53,440 Speaker 2: We will be taking notes, making a list, checking it twice, 530 00:28:53,480 --> 00:28:55,880 Speaker 2: and tomorrow we will tell you who was naughty and 531 00:28:55,920 --> 00:28:58,880 Speaker 2: who was nice up on that debate stage. 532 00:28:59,320 --> 00:29:00,640 Speaker 1: So that'll be a lot of fun. 533 00:29:00,680 --> 00:29:03,200 Speaker 2: We'll get some of your calls here and also get 534 00:29:03,200 --> 00:29:04,680 Speaker 2: some of your VIP emails if we had the time. 535 00:29:04,680 --> 00:29:07,360 Speaker 2: Remember clayanbuck dot com sign up to become a vi 536 00:29:07,400 --> 00:29:12,560 Speaker 2: ip please all right, I'll take you. I will take it. 537 00:29:12,680 --> 00:29:16,600 Speaker 2: Kelly and Houston starts off with Clay is right. That's 538 00:29:16,600 --> 00:29:17,920 Speaker 2: all I can see on my screen. 539 00:29:18,000 --> 00:29:20,040 Speaker 1: I never loved you, Kelly. I don't know. I didn't 540 00:29:20,040 --> 00:29:21,800 Speaker 1: know that you had a cousin who lived in Houston. Clay, 541 00:29:21,840 --> 00:29:22,720 Speaker 1: what's going on? Kelly? 542 00:29:23,920 --> 00:29:27,200 Speaker 6: Hey, guys, I actually live in Caryln, North Carolina. I'm 543 00:29:27,240 --> 00:29:30,600 Speaker 6: visiting Houston, and I just think Clay is right. I 544 00:29:30,680 --> 00:29:33,320 Speaker 6: have been married to my husband for. 545 00:29:33,200 --> 00:29:34,160 Speaker 7: Thirty four years. 546 00:29:34,200 --> 00:29:37,360 Speaker 6: He's worked in corporate America the whole time. And I 547 00:29:37,400 --> 00:29:38,960 Speaker 6: just got to say, I wouldn't be a fan of 548 00:29:39,560 --> 00:29:42,520 Speaker 6: some skink who is sleeping around with you know, guys 549 00:29:42,560 --> 00:29:45,680 Speaker 6: that are working with my husband and sleeping. 550 00:29:45,560 --> 00:29:48,200 Speaker 2: Right, But you were voting Trump anyway, right, like you're 551 00:29:48,240 --> 00:29:49,000 Speaker 2: all in on Trump. 552 00:29:49,080 --> 00:29:51,840 Speaker 1: I'm assuming, well maybe. 553 00:29:53,400 --> 00:29:55,000 Speaker 6: I'm you know, a little undecided. 554 00:29:55,800 --> 00:29:59,080 Speaker 1: Oh really, I mean, because I do think my theory 555 00:29:59,120 --> 00:30:00,800 Speaker 1: on this, for those who just got in their car 556 00:30:01,160 --> 00:30:04,760 Speaker 1: is that if you don't like Trump's character, Kamala's character 557 00:30:05,080 --> 00:30:08,000 Speaker 1: is equally imperfect in many ways. In fact, I think 558 00:30:08,120 --> 00:30:13,720 Speaker 1: arguably worse because she's actually benefited from some of what 559 00:30:13,840 --> 00:30:17,440 Speaker 1: she has been willing to do. Trump has only take 560 00:30:17,480 --> 00:30:20,680 Speaker 1: n hits and Trump is And this will sound a 561 00:30:20,720 --> 00:30:23,000 Speaker 1: little bit sick of fan thank you, Kelly for some people, 562 00:30:23,040 --> 00:30:24,720 Speaker 1: thank you, But you know, Trump. 563 00:30:24,520 --> 00:30:26,720 Speaker 2: Is actually funny and charismatic, which. 564 00:30:26,520 --> 00:30:28,480 Speaker 1: Kamala is not. So that's correct. 565 00:30:28,480 --> 00:30:30,920 Speaker 2: I don't think anyone really disagrees with that. Dennis in 566 00:30:31,000 --> 00:30:33,920 Speaker 2: South Carolina, I feel like I like where Dennis is going. 567 00:30:34,000 --> 00:30:34,560 Speaker 1: What's going on? 568 00:30:34,600 --> 00:30:39,120 Speaker 8: Dennis absolutely buck Hey, listen, Obviously I'm not a suburban housewife, 569 00:30:39,160 --> 00:30:42,200 Speaker 8: but I've been married forty four years I've also got 570 00:30:42,200 --> 00:30:45,040 Speaker 8: an eighty two year old mom that lives with us, 571 00:30:45,320 --> 00:30:48,160 Speaker 8: and I agree with you one hundred percent. In fact, Buck, 572 00:30:48,200 --> 00:30:49,920 Speaker 8: if you've got welles too late now. But I was 573 00:30:49,920 --> 00:30:51,400 Speaker 8: going to say, if you've got some way to mute 574 00:30:51,440 --> 00:30:53,520 Speaker 8: plays micro rest of the show, you need to do 575 00:30:53,600 --> 00:30:57,720 Speaker 8: it before Trump or someone in his camp. Here's Trey, 576 00:30:58,080 --> 00:31:01,479 Speaker 8: you know, his political advice Mount Pratt. In my opinion, Uh, 577 00:31:01,640 --> 00:31:03,880 Speaker 8: he's just so off based that you know, it's kind 578 00:31:03,880 --> 00:31:05,840 Speaker 8: of like when he when he talked about John Fetterman 579 00:31:06,200 --> 00:31:07,720 Speaker 8: and I like Clay. I don't mean to say that 580 00:31:07,720 --> 00:31:08,760 Speaker 8: I like him a lot, but I. 581 00:31:08,680 --> 00:31:10,760 Speaker 1: Mean I'm here. You know I'm not dead, you can 582 00:31:12,720 --> 00:31:13,560 Speaker 1: I'm here on the. 583 00:31:13,520 --> 00:31:15,680 Speaker 5: Show you were for once. 584 00:31:15,680 --> 00:31:17,840 Speaker 8: You were stunned into silence there for a minute, Clay. 585 00:31:17,880 --> 00:31:20,560 Speaker 8: And so I won't at least say I like you 586 00:31:20,600 --> 00:31:22,480 Speaker 8: a lot, and I've enjoyed you for years and out, kid, 587 00:31:22,560 --> 00:31:25,200 Speaker 8: But you know, I just think the personal attacks. I've 588 00:31:25,200 --> 00:31:26,800 Speaker 8: been in sales for a long time, I've owned my 589 00:31:26,840 --> 00:31:28,680 Speaker 8: own business. Is one of the first things they teach 590 00:31:28,800 --> 00:31:32,360 Speaker 8: is don't you know, don't knock down the other your competition, 591 00:31:32,480 --> 00:31:35,760 Speaker 8: your your competition's products, because it just makes you look 592 00:31:35,800 --> 00:31:38,520 Speaker 8: heavy and small, and and that's the one thing Trump's 593 00:31:38,560 --> 00:31:40,920 Speaker 8: always done and I hate it. I voted for him twice, 594 00:31:40,960 --> 00:31:43,560 Speaker 8: I'll vote for him again each time. We're more pride. 595 00:31:43,560 --> 00:31:46,640 Speaker 8: I love his policies. But when he does that, my wife, 596 00:31:46,760 --> 00:31:49,520 Speaker 8: my mom, other women in my life, they just they 597 00:31:49,520 --> 00:31:52,480 Speaker 8: almost cringe, just like, why is he doing that? Why 598 00:31:52,560 --> 00:31:55,080 Speaker 8: is he getting personal? I just don't see it helping 599 00:31:55,160 --> 00:31:55,800 Speaker 8: him at. 600 00:31:55,720 --> 00:31:59,440 Speaker 1: Well, Dennis, thank you for the call. Dennis. What I 601 00:31:59,480 --> 00:32:02,200 Speaker 1: agree with you you on is I'm not saying Trump 602 00:32:02,240 --> 00:32:05,920 Speaker 1: should do it in the debate. I'm saying that I 603 00:32:05,960 --> 00:32:09,480 Speaker 1: think people like me, or Buck or some of you 604 00:32:09,720 --> 00:32:12,479 Speaker 1: out there, a lot of people don't know Kamala Harris 605 00:32:12,600 --> 00:32:15,400 Speaker 1: very well. They don't know her backstory. Where Buck and 606 00:32:15,520 --> 00:32:19,200 Speaker 1: I disagree is I think there are women and maybe men, 607 00:32:19,320 --> 00:32:23,800 Speaker 1: but certainly women that are persuadable that don't like Trump personally, 608 00:32:24,120 --> 00:32:26,800 Speaker 1: that have bought into the idea that, oh, Kamala Harris, 609 00:32:26,840 --> 00:32:30,080 Speaker 1: she's a bright, shining light of truth and justice in 610 00:32:30,120 --> 00:32:34,880 Speaker 1: the American way, and actually she has a sordid past 611 00:32:35,080 --> 00:32:38,360 Speaker 1: of her own. And then if you cancel out double 612 00:32:38,440 --> 00:32:41,800 Speaker 1: sordid past, it brings you back to issues. Buck doesn't 613 00:32:41,800 --> 00:32:43,360 Speaker 1: buy it. She had enough. 614 00:32:43,400 --> 00:32:45,840 Speaker 2: I think it was thirty years ago. I was like 615 00:32:45,920 --> 00:32:48,600 Speaker 2: in I was in grammar school when she had this affair. 616 00:32:48,640 --> 00:32:51,800 Speaker 1: I don't think anyone cares. But it's the reason why 617 00:32:51,880 --> 00:32:55,560 Speaker 1: she got started in politics. That is the foundation. She 618 00:32:55,760 --> 00:32:59,200 Speaker 1: began her life in politics to get paid four hundred 619 00:32:59,240 --> 00:33:02,080 Speaker 1: thousand dollars as the side chick of someone. 620 00:33:02,480 --> 00:33:06,520 Speaker 2: I think everyone who likes or leans Trump and was 621 00:33:06,600 --> 00:33:09,960 Speaker 2: voting Trump, here's this and goes exactly, that's why I'm 622 00:33:10,000 --> 00:33:12,600 Speaker 2: voting Trump. But I know our caller, I think she 623 00:33:12,680 --> 00:33:14,640 Speaker 2: was playing a little fast and loose there a minute ago. 624 00:33:14,720 --> 00:33:19,760 Speaker 2: She's like, well, she's voting Trump. Okay, what about the. 625 00:33:19,760 --> 00:33:23,480 Speaker 1: Question we need to take calls post debate? Buck, what 626 00:33:23,560 --> 00:33:25,880 Speaker 1: percentage of our audience do you think truly doesn't know 627 00:33:25,880 --> 00:33:31,600 Speaker 1: how they're going to vote? Our audience? Yes, less than 628 00:33:31,600 --> 00:33:34,880 Speaker 1: five percent. Yeah, I think that's about right. Yeah, so 629 00:33:34,960 --> 00:33:38,240 Speaker 1: we're talking about a tiny subset. Maybe we'll take calls 630 00:33:38,280 --> 00:33:40,160 Speaker 1: only from people who don't know how they're going to 631 00:33:40,240 --> 00:33:42,440 Speaker 1: vote and ask them that I don't know how it's possible. 632 00:33:42,480 --> 00:33:43,760 Speaker 1: I mean, I'm just gonna say this, I don't know 633 00:33:43,800 --> 00:33:45,960 Speaker 1: how it's possible to really not know how you're going 634 00:33:45,960 --> 00:33:48,360 Speaker 1: to vote unless you just don't pay attention to politics 635 00:33:48,360 --> 00:33:50,800 Speaker 1: at all. If you don't, like, like, someone could ask 636 00:33:50,840 --> 00:33:55,440 Speaker 1: me who's going to win, you know, Alabama or like 637 00:33:55,520 --> 00:34:00,520 Speaker 1: the University of Southwest Boise or something, and I might 638 00:34:00,560 --> 00:34:02,560 Speaker 1: not until I at least started doing this show, I 639 00:34:02,560 --> 00:34:04,720 Speaker 1: would not have known. I've feel like I have absolutely 640 00:34:04,720 --> 00:34:06,480 Speaker 1: no idea because I didn't pay attention to that at all. 641 00:34:07,160 --> 00:34:09,560 Speaker 2: You have to be, to me, at almost that level 642 00:34:09,600 --> 00:34:14,920 Speaker 2: of political attention paid in order to not know who 643 00:34:14,880 --> 00:34:17,120 Speaker 2: you're voting for now. But there are people who don't 644 00:34:17,120 --> 00:34:18,520 Speaker 2: pay that much attention to it and they don't know 645 00:34:18,520 --> 00:34:22,879 Speaker 2: who they're voting for, or maybe they're struggling over one thing. 646 00:34:23,080 --> 00:34:27,799 Speaker 2: They're single issue voters and there's one thing and they're 647 00:34:27,840 --> 00:34:31,120 Speaker 2: waiting to see how that one thing breaks. To me, though, 648 00:34:31,160 --> 00:34:32,880 Speaker 2: I'm like, what's the thing that you don't know how 649 00:34:32,880 --> 00:34:34,640 Speaker 2: it's breaking? At this point, I don't get it. 650 00:34:35,000 --> 00:34:36,840 Speaker 1: I'll give you an analogy, Buck, because I talk to 651 00:34:36,920 --> 00:34:40,120 Speaker 1: these people all the time. In sports. How many people 652 00:34:40,160 --> 00:34:43,000 Speaker 1: watch the Super Bowl and don't watch a football game 653 00:34:43,120 --> 00:34:46,600 Speaker 1: the whole rest of the year, Like sixty million people. Yeah, 654 00:34:46,680 --> 00:34:49,400 Speaker 1: but you just said you like sixty I always like, 655 00:34:49,640 --> 00:34:52,640 Speaker 1: because you're if you're a sports guy like I am, 656 00:34:53,040 --> 00:34:56,279 Speaker 1: the idea that you don't watch the NFC and the 657 00:34:56,320 --> 00:35:00,640 Speaker 1: AFC Championship, around fifty million of you will watch. That's 658 00:35:00,760 --> 00:35:04,840 Speaker 1: the final four basically of the NFL, and then the 659 00:35:04,920 --> 00:35:07,879 Speaker 1: audience more than doubles for the Super Bowl. And every 660 00:35:07,960 --> 00:35:10,000 Speaker 1: year I'm like, who are all these people coming out 661 00:35:10,000 --> 00:35:12,799 Speaker 1: of the woodwork that didn't care enough to watch the 662 00:35:12,840 --> 00:35:15,480 Speaker 1: final four in football, but they come out for the 663 00:35:15,560 --> 00:35:18,640 Speaker 1: championship game. I say this with respect, but we're talking 664 00:35:18,640 --> 00:35:21,480 Speaker 1: about like the future of the Republican possibly the free world, 665 00:35:21,560 --> 00:35:24,000 Speaker 1: not who can run the pig skin up the field 666 00:35:24,040 --> 00:35:26,239 Speaker 1: faster like this is a little bit more important. My 667 00:35:26,400 --> 00:35:29,960 Speaker 1: point is lots of people come in for big events 668 00:35:30,320 --> 00:35:35,520 Speaker 1: and don't have any real preconceived knowledge about what they're watching. 669 00:35:35,680 --> 00:35:38,120 Speaker 1: They come for the big event, and I think there 670 00:35:38,120 --> 00:35:40,319 Speaker 1: are a lot of voters like that, and they just 671 00:35:40,320 --> 00:35:41,160 Speaker 1: are very important. 672 00:35:41,160 --> 00:35:44,359 Speaker 2: A very important email coming in from vip Jill, also 673 00:35:44,440 --> 00:35:47,440 Speaker 2: known as Brilliant Jill, who writes, Clay, you are so 674 00:35:47,680 --> 00:35:50,440 Speaker 2: very wrong about Willie Brown. If Trump brings it up, 675 00:35:50,680 --> 00:35:52,960 Speaker 2: women will turn on him with Oh it's okay for 676 00:35:53,040 --> 00:35:55,120 Speaker 2: a man, but if a woman. Does it know what 677 00:35:55,160 --> 00:36:00,680 Speaker 2: I mean? Buck is right? Signed brilliant Jill IQ One. 678 00:36:01,000 --> 00:36:05,640 Speaker 1: Carol in Cheyenne, Wyoming. You get the final word from 679 00:36:05,640 --> 00:36:07,840 Speaker 1: the audience today. What have you got for us? 680 00:36:08,760 --> 00:36:12,680 Speaker 7: Okay, Clay, I think you so, my thunder. I was 681 00:36:12,719 --> 00:36:19,880 Speaker 7: calling to mention that President Trump and other men that 682 00:36:19,920 --> 00:36:24,200 Speaker 7: have had an affair don't necessarily gain any political or 683 00:36:25,719 --> 00:36:31,120 Speaker 7: monetary advantage. But in this particular instance, the woman that 684 00:36:31,239 --> 00:36:35,040 Speaker 7: had the affair that I think that was very much 685 00:36:35,239 --> 00:36:41,000 Speaker 7: part of her plans maybe to advance politically and get 686 00:36:41,080 --> 00:36:42,640 Speaker 7: some jobs and get some money. 687 00:36:43,200 --> 00:36:45,839 Speaker 1: Carol, I love you. Thank you for calling in from 688 00:36:45,880 --> 00:36:51,360 Speaker 1: lovely Wyoming. Kamala Harris didn't just she she got paid 689 00:36:51,400 --> 00:36:53,280 Speaker 1: for it. We'll talk more about this tomorrow.