1 00:00:01,840 --> 00:00:05,560 Speaker 1: This is twenty four, a weekly highlight reel from the 2 00:00:05,640 --> 00:00:10,200 Speaker 1: Clay Travis and Buck Sexton Show featuring all things election coverage. 3 00:00:10,680 --> 00:00:13,280 Speaker 2: Let's get started. Here are Clay and Bucks. 4 00:00:14,160 --> 00:00:19,320 Speaker 3: It was an incredible performance from jd Vance last night 5 00:00:20,160 --> 00:00:24,960 Speaker 3: that I think is going to have significant momentum for 6 00:00:25,079 --> 00:00:30,400 Speaker 3: the Trump Vance ticket as we roll into October. One 7 00:00:30,440 --> 00:00:33,120 Speaker 3: of the things that I think many people have wanted 8 00:00:33,240 --> 00:00:37,120 Speaker 3: for some time is for there to be an articulate 9 00:00:37,320 --> 00:00:42,360 Speaker 3: version of the Trump argument and Trump gets to in 10 00:00:42,400 --> 00:00:46,560 Speaker 3: my opinion, I think Bucks two the right place on many, 11 00:00:47,080 --> 00:00:50,879 Speaker 3: if not most, issues facing the country today. But he 12 00:00:51,040 --> 00:00:54,200 Speaker 3: is a bull in a china shop getting there, breaking 13 00:00:54,240 --> 00:00:57,000 Speaker 3: all sorts of things in the process. And if you 14 00:00:57,120 --> 00:00:59,960 Speaker 3: go back and look at much of the media attack 15 00:01:00,200 --> 00:01:03,920 Speaker 3: on Trump, it's actually for the process, not the end result. 16 00:01:04,760 --> 00:01:06,880 Speaker 3: And what stood out to me last night, and we're 17 00:01:06,880 --> 00:01:09,240 Speaker 3: going to play a lot of cuts for you, and 18 00:01:09,319 --> 00:01:11,560 Speaker 3: I'm curious to hear all of bucks take on this 19 00:01:11,680 --> 00:01:14,800 Speaker 3: as well, but what stood out to me last night 20 00:01:15,280 --> 00:01:22,120 Speaker 3: was JD Vance was incredibly articulate at making arguments both 21 00:01:22,200 --> 00:01:26,240 Speaker 3: for himself and for Trump when they tried to attack 22 00:01:26,360 --> 00:01:29,920 Speaker 3: him based on what Trump had said. And Tim Walls. 23 00:01:30,600 --> 00:01:34,080 Speaker 3: I just I'm sorry, he's not up for this job. 24 00:01:34,680 --> 00:01:39,680 Speaker 3: And I thought as the debate went on, it probably 25 00:01:39,800 --> 00:01:44,399 Speaker 3: was becoming clearer and clearer to so many people out 26 00:01:44,440 --> 00:01:46,960 Speaker 3: there that had been sold a false bill of goods 27 00:01:47,040 --> 00:01:48,000 Speaker 3: about what jd. 28 00:01:48,160 --> 00:01:48,920 Speaker 2: Vance was. 29 00:01:49,040 --> 00:01:51,920 Speaker 3: They tried to attack him as weird, and I can 30 00:01:51,960 --> 00:01:55,160 Speaker 3: only imagine the cognitive dissonance associated with that as you 31 00:01:55,240 --> 00:01:59,040 Speaker 3: watched this forty year old father of three, what completely 32 00:01:59,160 --> 00:02:05,440 Speaker 3: calm nor most steadfast talented as he dissected arguments and buck. 33 00:02:05,560 --> 00:02:09,920 Speaker 3: To me, the ultimate big takeaway from the VP debate 34 00:02:10,520 --> 00:02:13,639 Speaker 3: at its most foundational level is it's the most important 35 00:02:13,680 --> 00:02:17,600 Speaker 3: choice that you make as president once you're the nominee, 36 00:02:17,960 --> 00:02:20,119 Speaker 3: and it tells us a lot about you. 37 00:02:21,120 --> 00:02:22,960 Speaker 2: The fact that Trump picked JD. 38 00:02:23,120 --> 00:02:29,240 Speaker 3: Vance, who is a brilliant, stellar communicator and advocate, and 39 00:02:29,320 --> 00:02:34,280 Speaker 3: Kamala Harris picked Tim Walls, who was a doddering, buffoonish 40 00:02:34,560 --> 00:02:39,239 Speaker 3: liar who actually only got picked I think because Josh 41 00:02:39,280 --> 00:02:41,440 Speaker 3: Shapiro happens to be Jewish, and I think we're going 42 00:02:41,520 --> 00:02:42,760 Speaker 3: to get into that, and I think it's going to 43 00:02:42,840 --> 00:02:46,920 Speaker 3: become a larger criticism on the left of KHLA. But 44 00:02:47,080 --> 00:02:51,200 Speaker 3: Kamala picked a Boone. Trump picked a stud and last 45 00:02:51,280 --> 00:02:54,919 Speaker 3: night that ultimately reflected well on Trump, and I thought 46 00:02:54,960 --> 00:02:58,160 Speaker 3: poorly on Kamala. What was your kind of big picture 47 00:02:58,320 --> 00:02:59,600 Speaker 3: takeaway from last night? 48 00:03:00,480 --> 00:03:03,840 Speaker 4: I can't think of a better debate performance on the 49 00:03:03,880 --> 00:03:09,240 Speaker 4: Merits on a presidential or vice presidential stage in my 50 00:03:09,440 --> 00:03:13,400 Speaker 4: memory than what I saw from JD Vance last night. Now, 51 00:03:13,720 --> 00:03:18,680 Speaker 4: Trump has had some incredibly effective debate performances. Obviously, Joe 52 00:03:18,720 --> 00:03:22,280 Speaker 4: Biden's campaign ended after one. Trump beating all of the 53 00:03:22,320 --> 00:03:25,960 Speaker 4: Republicans in the twenty sixteen primary was a sight to see. 54 00:03:26,560 --> 00:03:29,480 Speaker 4: But I think we all should be honest. Trump's version 55 00:03:29,520 --> 00:03:32,560 Speaker 4: of winning the debate is a little different from what 56 00:03:32,639 --> 00:03:34,160 Speaker 4: you would think of if you had been on like 57 00:03:34,360 --> 00:03:37,360 Speaker 4: Lincoln Douglas or policy debate team in high school. Right 58 00:03:37,640 --> 00:03:41,000 Speaker 4: Trumps with the one liners and the jokes and the performance, 59 00:03:41,080 --> 00:03:45,720 Speaker 4: and it's not the same kind of thing that you 60 00:03:45,720 --> 00:03:47,720 Speaker 4: saw on display last night. Look, I thought it was 61 00:03:47,800 --> 00:03:54,000 Speaker 4: a really respectful and substantive debate. I thought that there 62 00:03:54,120 --> 00:03:59,040 Speaker 4: was a nice level of decorum and decency showed by 63 00:03:59,040 --> 00:04:02,320 Speaker 4: both candidates. I think JD put on a clinic on 64 00:04:02,440 --> 00:04:08,080 Speaker 4: the Merits for how to disassemble your opponent's arguments, stay 65 00:04:08,080 --> 00:04:13,960 Speaker 4: on message, speak with clarity and eloquence, so he gets 66 00:04:13,960 --> 00:04:18,039 Speaker 4: an A plus walls from me. Was better than I 67 00:04:18,080 --> 00:04:21,000 Speaker 4: thought he would be. Oh he was Okay, he was 68 00:04:21,040 --> 00:04:22,719 Speaker 4: a little better than I thought he would be. Now 69 00:04:23,000 --> 00:04:25,440 Speaker 4: that's this is always about what are your expectations, Right? 70 00:04:26,080 --> 00:04:28,080 Speaker 4: I thought that he would go in there where there's oh, 71 00:04:28,160 --> 00:04:31,240 Speaker 4: you know, a fancy J. D. Waltz with his Yale degree. 72 00:04:31,880 --> 00:04:32,600 Speaker 2: He didn't do that. 73 00:04:33,240 --> 00:04:36,520 Speaker 4: He didn't do the mud slinging kind of idiot talking 74 00:04:36,560 --> 00:04:40,279 Speaker 4: points that I had expected. Look, he got he got 75 00:04:40,400 --> 00:04:45,000 Speaker 4: nailed on the China visit issue, which was just bizarre 76 00:04:45,040 --> 00:04:46,599 Speaker 4: the way that he handled that. But I guess he 77 00:04:46,640 --> 00:04:48,520 Speaker 4: doesn't want to say, look, I just lied, and you 78 00:04:48,520 --> 00:04:49,480 Speaker 4: guys called me to lie. 79 00:04:50,720 --> 00:04:52,080 Speaker 2: There. 80 00:04:52,240 --> 00:04:53,880 Speaker 4: There are a range of areas where I think he 81 00:04:53,920 --> 00:04:57,159 Speaker 4: did really poorly. The only place where I think he 82 00:04:57,360 --> 00:05:01,479 Speaker 4: managed to sound like somebody who knows anything about anything 83 00:05:01,680 --> 00:05:04,000 Speaker 4: was on healthcare. To be fair, I thought that he 84 00:05:04,200 --> 00:05:07,080 Speaker 4: handled Look, he's lucky he's in the state of Minnesota. 85 00:05:07,160 --> 00:05:07,240 Speaker 5: Right. 86 00:05:07,320 --> 00:05:09,239 Speaker 4: It's like, if you ask the governor of North Dakota 87 00:05:09,240 --> 00:05:11,640 Speaker 4: about oil, they're gonna know oil. Minnesota is a big 88 00:05:11,680 --> 00:05:13,160 Speaker 4: healthcare state, so it was a little bit of a 89 00:05:13,160 --> 00:05:16,159 Speaker 4: sweet spot for him. The thing that I thought was 90 00:05:16,240 --> 00:05:19,440 Speaker 4: most impressive for jd Vance. You know, there's this thing 91 00:05:19,480 --> 00:05:22,080 Speaker 4: that people say after debates, and people said it after 92 00:05:22,240 --> 00:05:26,480 Speaker 4: the ABC News debate, Clay, if you're complaining about the refs, 93 00:05:26,480 --> 00:05:31,080 Speaker 4: you're losing. Actually not always true, Yeah, because the refs 94 00:05:31,080 --> 00:05:36,120 Speaker 4: were terrible, as in the moderators were absolute partisan garbage, 95 00:05:36,520 --> 00:05:40,240 Speaker 4: and JD Vance still handily won the debate. It was 96 00:05:40,400 --> 00:05:44,760 Speaker 4: three on one and he smoked all three. I mean, 97 00:05:44,839 --> 00:05:47,800 Speaker 4: some of the all the framing of the questions meant 98 00:05:47,880 --> 00:05:51,400 Speaker 4: to help, meant to help Walls. The way they fact 99 00:05:51,480 --> 00:05:53,599 Speaker 4: checked or you know, they kind of corrected or whatever 100 00:05:53,640 --> 00:05:57,000 Speaker 4: they want to call it, jd and not Walls couldn't 101 00:05:57,000 --> 00:05:59,400 Speaker 4: have been more obvious. Whenever it was time to ask 102 00:05:59,440 --> 00:06:02,080 Speaker 4: a follow up of Walls, it was what do you 103 00:06:02,120 --> 00:06:02,719 Speaker 4: want to add to that? 104 00:06:02,760 --> 00:06:02,920 Speaker 2: There? 105 00:06:03,000 --> 00:06:05,320 Speaker 4: Big tim you know, I mean, they might as well 106 00:06:05,320 --> 00:06:07,839 Speaker 4: have been giving him a shoulder rub on the screen. 107 00:06:08,120 --> 00:06:09,480 Speaker 4: But I just want to go because I think this 108 00:06:09,560 --> 00:06:11,680 Speaker 4: is so important, Clay. After the ABC News to be 109 00:06:11,760 --> 00:06:15,200 Speaker 4: people were, oh, you're complaining about muirds because you lost. 110 00:06:15,920 --> 00:06:18,760 Speaker 4: Trump didn't look at the numbers, didn't lose that debate 111 00:06:18,920 --> 00:06:22,920 Speaker 4: by public opinion, and beyond that, the moderator was garbage. 112 00:06:23,200 --> 00:06:25,960 Speaker 4: The moderators in this were garbage Brennan and whatever the 113 00:06:26,000 --> 00:06:33,279 Speaker 4: other lady's name, o'donal, O'Donnell. They were clearly partisan hacks, 114 00:06:33,400 --> 00:06:35,600 Speaker 4: and JD. Vance smoked them. So just remember that the 115 00:06:35,640 --> 00:06:38,039 Speaker 4: next time someone's like, if you're complaining about the refs, no, 116 00:06:38,120 --> 00:06:40,400 Speaker 4: it is possible to have terrible refs and win the game. 117 00:06:40,640 --> 00:06:45,719 Speaker 3: And JD did, And what he did was what I 118 00:06:45,839 --> 00:06:49,039 Speaker 3: wish Trump had done, because let's play that clip. 119 00:06:49,160 --> 00:06:50,760 Speaker 2: I think it's so important. 120 00:06:51,360 --> 00:06:56,880 Speaker 3: Trump never directly confronted David Muirror and whatever the Lindsey 121 00:06:57,040 --> 00:06:59,360 Speaker 3: Nelson or Davis or whatever the heck her name was 122 00:06:59,440 --> 00:07:03,200 Speaker 3: at Abe, even though they were constantly trying to fact 123 00:07:03,320 --> 00:07:06,839 Speaker 3: check him when they tried, and I only remember buck 124 00:07:06,920 --> 00:07:11,000 Speaker 3: one time where they tried, and it was so devastating JD. 125 00:07:11,160 --> 00:07:15,400 Speaker 3: Vance's response to them, which illuminated that he understood the 126 00:07:15,480 --> 00:07:19,600 Speaker 3: issue so much better than they did, and also demonstrated 127 00:07:19,920 --> 00:07:23,160 Speaker 3: just how much a partisan hacks they were that they 128 00:07:23,240 --> 00:07:26,680 Speaker 3: had to turn off his microphone. I thought that was 129 00:07:26,720 --> 00:07:30,400 Speaker 3: the moment where he took complete control of the debate. 130 00:07:30,800 --> 00:07:33,560 Speaker 3: Let's play that for people out there. It's the one 131 00:07:33,640 --> 00:07:36,960 Speaker 3: thing I wish Trump had been willing to do during 132 00:07:37,000 --> 00:07:39,440 Speaker 3: his debate against Kamala Harris, because I think it would 133 00:07:39,440 --> 00:07:42,640 Speaker 3: have brought into the open for more people just how 134 00:07:42,720 --> 00:07:45,760 Speaker 3: rigged and biased it was. But listen to that from 135 00:07:45,800 --> 00:07:46,280 Speaker 3: last night. 136 00:07:46,680 --> 00:07:50,280 Speaker 6: Just to clarify for our viewers, Springfield, Ohio does have 137 00:07:50,400 --> 00:07:54,240 Speaker 6: a large number of Haitian migrants who have legal status 138 00:07:54,520 --> 00:07:56,800 Speaker 6: temporary protective Sea. 139 00:07:57,320 --> 00:07:58,000 Speaker 2: Thank you, senator. 140 00:07:58,000 --> 00:08:00,480 Speaker 6: We have so much to get to, Margot, important to 141 00:08:00,880 --> 00:08:01,960 Speaker 6: turn out of the economy. 142 00:08:01,960 --> 00:08:03,760 Speaker 2: Thanks Margaret. The rules were that. 143 00:08:03,760 --> 00:08:05,960 Speaker 5: You got in a fact check, and since you're fact 144 00:08:06,000 --> 00:08:08,520 Speaker 5: checking me, I think it's important to say what's actually 145 00:08:08,560 --> 00:08:08,960 Speaker 5: going on. 146 00:08:09,400 --> 00:08:11,000 Speaker 2: So there's an application called. 147 00:08:10,760 --> 00:08:13,480 Speaker 5: The CBP one app where you can go on as 148 00:08:13,480 --> 00:08:17,000 Speaker 5: an illegal migrant, apply for asylum or apply for parole 149 00:08:17,400 --> 00:08:21,440 Speaker 5: and be granted legal status at the wave of a 150 00:08:21,560 --> 00:08:24,960 Speaker 5: Kamala Harris open border Wand that is not a person 151 00:08:25,000 --> 00:08:27,160 Speaker 5: coming in applying for a green card and waiting for 152 00:08:27,200 --> 00:08:31,240 Speaker 5: ten years. Thank you, Senator of a legal immigration Margaret Bye. 153 00:08:31,400 --> 00:08:34,120 Speaker 6: Thank you senator for describing the legal product. 154 00:08:34,760 --> 00:08:36,280 Speaker 4: You have so much to get. 155 00:08:36,080 --> 00:08:39,560 Speaker 7: To, the Senator, so much the book since nineteen ninety, 156 00:08:39,920 --> 00:08:40,280 Speaker 7: Thank you. 157 00:08:40,320 --> 00:08:46,920 Speaker 2: Gentlemen want to have app has not been on the books. 158 00:08:47,000 --> 00:08:50,640 Speaker 6: Gentlemen, the audience can't hear you because your mics are cut. 159 00:08:51,600 --> 00:08:55,280 Speaker 4: There was no reasons. Yes, I agree, you know, no reason. 160 00:08:55,280 --> 00:08:57,040 Speaker 4: Immute is Mike there? And that was just sort of 161 00:08:57,040 --> 00:09:00,560 Speaker 4: spiteful garbage from these moderators. First of all, listen to 162 00:09:00,600 --> 00:09:05,240 Speaker 4: the the by the facts and by the reality. It 163 00:09:05,280 --> 00:09:06,760 Speaker 4: sounds like he listens to the Clay and Buck show 164 00:09:06,760 --> 00:09:08,960 Speaker 4: and immigration. I'll be honest with you talking about the 165 00:09:09,000 --> 00:09:11,200 Speaker 4: CBP one app talking about and this is what I 166 00:09:11,200 --> 00:09:12,839 Speaker 4: try to say to people, and I get frustrated. We 167 00:09:13,040 --> 00:09:15,680 Speaker 4: discussed this here a lot on the show. Whatever you 168 00:09:15,720 --> 00:09:17,920 Speaker 4: think the problem of a legal immigration is, it's actually 169 00:09:18,000 --> 00:09:24,000 Speaker 4: worse because Biden Harris have abused laws to bring in 170 00:09:24,160 --> 00:09:28,840 Speaker 4: even more people through what is essentially an emergency immigration 171 00:09:28,960 --> 00:09:31,280 Speaker 4: process of if you don't take me, I'm gonna die. 172 00:09:31,559 --> 00:09:33,839 Speaker 4: If you don't take me, I'm going to be tortured. Well, 173 00:09:33,920 --> 00:09:36,880 Speaker 4: that's supposed to be like for an actual emergency, not 174 00:09:37,080 --> 00:09:39,720 Speaker 4: ten million or five million or however many millions of 175 00:09:39,720 --> 00:09:41,920 Speaker 4: people have come into the country. That's what they've allowed 176 00:09:41,920 --> 00:09:45,480 Speaker 4: to happen. It's critical. So I thought Clay that exchange 177 00:09:46,120 --> 00:09:49,600 Speaker 4: was important on the merits right, on the actual substance 178 00:09:49,600 --> 00:09:52,240 Speaker 4: of the policy, but also to not let them get 179 00:09:52,280 --> 00:09:54,720 Speaker 4: away with that. I mean, to do this little you know, 180 00:09:55,400 --> 00:09:56,079 Speaker 4: look to. 181 00:09:55,880 --> 00:09:57,160 Speaker 2: Turn their off. 182 00:09:57,679 --> 00:10:00,439 Speaker 3: I mean, I was sitting watching this with I did 183 00:10:00,480 --> 00:10:04,000 Speaker 3: a bit with Tommy Lay and Pete hag Seth. We 184 00:10:04,040 --> 00:10:09,400 Speaker 3: were all watching it together, and Pete's wife said, oh, man, 185 00:10:09,480 --> 00:10:12,720 Speaker 3: that's like a mom treats the kids, where you just like. 186 00:10:13,480 --> 00:10:14,559 Speaker 4: Pete's kind of an allusion. 187 00:10:14,640 --> 00:10:20,440 Speaker 3: Clay Well, his wife was there, Who's fantastic, And she 188 00:10:20,600 --> 00:10:22,120 Speaker 3: was saying, and she used to be a producer at 189 00:10:22,160 --> 00:10:25,440 Speaker 3: Fox News, but she was saying. Her immediate reaction was 190 00:10:25,440 --> 00:10:27,280 Speaker 3: and I get it. It does remind me of what 191 00:10:27,320 --> 00:10:30,720 Speaker 3: a parent does to a toddler that is misbehaving, just 192 00:10:30,760 --> 00:10:34,599 Speaker 3: turning off the mics. But I thought it was impossible 193 00:10:34,720 --> 00:10:39,960 Speaker 3: to ignore from that point forward once he directly confronted them, 194 00:10:40,280 --> 00:10:42,800 Speaker 3: first of all, how much smarter he is than they are. 195 00:10:43,400 --> 00:10:47,120 Speaker 3: Let's be clear, you can rip jd Vance for opinions 196 00:10:47,160 --> 00:10:49,800 Speaker 3: you disagree with him on. But the reason I thought 197 00:10:49,840 --> 00:10:52,480 Speaker 3: that he would win is I think there was a 198 00:10:52,679 --> 00:10:56,160 Speaker 3: massive IQ differential between jd Vance and Tim Walls. I 199 00:10:56,200 --> 00:10:57,839 Speaker 3: think Tim Walls is not a very smart man. I 200 00:10:57,880 --> 00:10:59,360 Speaker 3: think jd Vance really smart. 201 00:11:00,040 --> 00:11:02,680 Speaker 4: He'd come across as as likable though to you, would 202 00:11:02,720 --> 00:11:05,760 Speaker 4: you say, or more likeable than you anticipated Walls. Yeah, 203 00:11:05,760 --> 00:11:09,000 Speaker 4: that was where I compare him to Kamala That's what 204 00:11:09,040 --> 00:11:10,560 Speaker 4: I was. I mean, if you look at those two, 205 00:11:10,760 --> 00:11:14,360 Speaker 4: Tim Wallas is far more affable than Kamala Harris in 206 00:11:14,480 --> 00:11:16,120 Speaker 4: terms of one. 207 00:11:15,960 --> 00:11:19,000 Speaker 3: Thing I was thinking buck was if we hadn't gotten 208 00:11:19,120 --> 00:11:22,600 Speaker 3: Biden dropping out, can you imagine what jd Vance would 209 00:11:22,640 --> 00:11:23,840 Speaker 3: have done to Kamala Harris. 210 00:11:23,960 --> 00:11:26,080 Speaker 4: Oh, that's the only part of last night that was 211 00:11:26,080 --> 00:11:29,080 Speaker 4: disappointing for me. It would have been almost worth it 212 00:11:29,200 --> 00:11:30,600 Speaker 4: just to have that whole situation. 213 00:11:30,720 --> 00:11:32,480 Speaker 3: I mean, it would have been an a visceration the 214 00:11:32,520 --> 00:11:34,160 Speaker 3: other thing I'll say, and we need to kind of 215 00:11:34,200 --> 00:11:35,240 Speaker 3: dive into this more. 216 00:11:35,800 --> 00:11:37,400 Speaker 2: I also think this is. 217 00:11:37,440 --> 00:11:40,559 Speaker 3: Why I know people get mad when people sit for 218 00:11:40,679 --> 00:11:47,400 Speaker 3: these antagonistic interviews, But iron sharpens iron. Jd Vance was 219 00:11:47,520 --> 00:11:50,520 Speaker 3: ready for them to hit him with the most biased, 220 00:11:50,679 --> 00:11:56,559 Speaker 3: the most unfair, the most rigged questions. Because he has 221 00:11:56,600 --> 00:11:58,199 Speaker 3: been sitting for these interviews. 222 00:11:58,240 --> 00:12:00,960 Speaker 2: He was prepared. He didn't need to go through a 223 00:12:01,000 --> 00:12:01,640 Speaker 2: ton of prep. 224 00:12:01,720 --> 00:12:05,600 Speaker 3: And I thought Walls when he got one actually confrontational question, 225 00:12:06,160 --> 00:12:09,760 Speaker 3: crumbled because they've tried to hide him. And actually, you 226 00:12:09,880 --> 00:12:13,120 Speaker 3: do a disservice to your candidate when you don't allow 227 00:12:13,200 --> 00:12:16,280 Speaker 3: them to be aggressively questioned, because then when it happens, 228 00:12:16,320 --> 00:12:18,640 Speaker 3: they crumble. It's like in sports when you don't play 229 00:12:18,679 --> 00:12:21,720 Speaker 3: against any good competition and suddenly you're down in a game. 230 00:12:22,160 --> 00:12:24,360 Speaker 3: Are you going to go and get a different level 231 00:12:24,400 --> 00:12:27,960 Speaker 3: of commitment and excellence or are you going to crumble 232 00:12:28,040 --> 00:12:30,640 Speaker 3: if you haven't tested yourself. Most people crumble, And I 233 00:12:30,679 --> 00:12:33,319 Speaker 3: thought that's what Walls did. If he had really gotten 234 00:12:33,360 --> 00:12:36,840 Speaker 3: aggressively questioned Buck, I think he would have fallen apart 235 00:12:37,000 --> 00:12:39,600 Speaker 3: even worse than I thought he did under that line 236 00:12:39,600 --> 00:12:40,280 Speaker 3: of question eight. 237 00:12:40,480 --> 00:12:42,480 Speaker 4: But I really do think, and I know maybe it 238 00:12:42,559 --> 00:12:45,240 Speaker 4: sounds like I'm like, you know, mister Rogers inviting everybody 239 00:12:45,280 --> 00:12:47,840 Speaker 4: to the neighborhood or something, but it was nice to 240 00:12:47,880 --> 00:12:50,319 Speaker 4: have a debate where put us on the monter is 241 00:12:50,360 --> 00:12:52,640 Speaker 4: are trash. We've called that out, so let's be clear. 242 00:12:53,080 --> 00:12:56,120 Speaker 4: I wish I wish we would stop this thing of 243 00:12:56,200 --> 00:13:01,040 Speaker 4: like we need to have Democrat partisans hosting like it's 244 00:13:02,360 --> 00:13:04,640 Speaker 4: put it on Rogan put it on I. 245 00:13:04,640 --> 00:13:05,400 Speaker 2: Mean our show. 246 00:13:05,400 --> 00:13:07,520 Speaker 4: It's funny because, like you know, we'd be considered right wing. 247 00:13:07,600 --> 00:13:08,880 Speaker 4: I guess whatever, fine, but. 248 00:13:08,920 --> 00:13:11,720 Speaker 3: We would do a phenomenal job as moderators of it. 249 00:13:11,760 --> 00:13:13,920 Speaker 2: I mean, I unbelieve. Here's the thing. 250 00:13:14,360 --> 00:13:19,800 Speaker 4: Questions don't have to be rigged. You could just say, hey, uh, 251 00:13:19,960 --> 00:13:22,880 Speaker 4: Tim Walls, about ten million about ten million people have 252 00:13:22,920 --> 00:13:25,640 Speaker 4: come across the border through non legal or you sort 253 00:13:25,640 --> 00:13:28,920 Speaker 4: of super legal means under Kamala's watch. What do you 254 00:13:28,920 --> 00:13:30,120 Speaker 4: think about that? And what are you going to do 255 00:13:30,120 --> 00:13:31,000 Speaker 4: about it going forward? 256 00:13:31,080 --> 00:13:31,280 Speaker 2: Hey? 257 00:13:31,400 --> 00:13:33,920 Speaker 4: Jd Vance, if Trump is president, how is he going 258 00:13:33,960 --> 00:13:34,360 Speaker 4: to stop? 259 00:13:34,360 --> 00:13:34,520 Speaker 6: That? 260 00:13:34,679 --> 00:13:34,800 Speaker 2: Was it? 261 00:13:35,240 --> 00:13:38,880 Speaker 4: You can ask questions agree where the answer is what matters. 262 00:13:39,160 --> 00:13:41,199 Speaker 4: Last night it was the usual thing of like, well, 263 00:13:41,679 --> 00:13:44,560 Speaker 4: Tim Wall, since you care about women's rights to bodily 264 00:13:44,600 --> 00:13:47,720 Speaker 4: autonomy and don't don't want to turn them into slaves 265 00:13:48,040 --> 00:13:50,720 Speaker 4: of their wombs, you know. And then it's Jade Vans, 266 00:13:50,760 --> 00:13:52,960 Speaker 4: JD Van, since you're like a misogynist pig, what do 267 00:13:53,040 --> 00:13:55,440 Speaker 4: you think? I mean, it's very obvious what they will. 268 00:13:55,480 --> 00:14:00,160 Speaker 3: And even even on Hurricane Helene, it's not Hey, why 269 00:14:00,160 --> 00:14:03,199 Speaker 3: is there not a more federal resources being committed? It's 270 00:14:03,280 --> 00:14:06,199 Speaker 3: all you think this impacts climate change. I mean, I 271 00:14:06,200 --> 00:14:09,000 Speaker 3: think it was the second friggin question that they asked. 272 00:14:09,000 --> 00:14:10,079 Speaker 2: We'll come back people, some. 273 00:14:10,000 --> 00:14:12,240 Speaker 4: Of your people that believe climate change is that level 274 00:14:12,280 --> 00:14:15,320 Speaker 4: of important. So the same mentality and the same IQ 275 00:14:15,520 --> 00:14:17,920 Speaker 4: as people that walk around with masks on outside. Still 276 00:14:17,960 --> 00:14:19,200 Speaker 4: for COVID, I'm just saying a. 277 00:14:19,160 --> 00:14:20,680 Speaker 2: Lot of those overlaps. For sure. 278 00:14:22,960 --> 00:14:27,320 Speaker 1: You're listening to twenty four The Year of Impact with 279 00:14:27,440 --> 00:14:28,440 Speaker 1: Clay and Bucks. 280 00:14:29,960 --> 00:14:34,120 Speaker 4: Art Laugher joins us now doctor Art Lafer, former Reagan 281 00:14:34,240 --> 00:14:39,280 Speaker 4: economic advisor, a guy behind a Laugher curve, makes sense 282 00:14:39,800 --> 00:14:44,240 Speaker 4: and author, brilliant minds, all that good stuff, Doctor Laffer. 283 00:14:44,440 --> 00:14:45,720 Speaker 4: Appreciate you being with us. 284 00:14:46,000 --> 00:14:48,080 Speaker 7: My pleasure, my pleasure. Thank you for having me. By 285 00:14:48,080 --> 00:14:49,080 Speaker 7: the way, I love your show. 286 00:14:49,800 --> 00:14:52,120 Speaker 4: Thank you well. You have excellent taste in radio as 287 00:14:52,120 --> 00:14:54,920 Speaker 4: well as being an economic genius. So tell us this, 288 00:14:55,480 --> 00:14:58,960 Speaker 4: tell us this, sir, if you would, if we were 289 00:14:58,960 --> 00:15:02,320 Speaker 4: to give a you know, not just the talking points. Obviously, 290 00:15:02,320 --> 00:15:03,680 Speaker 4: that's why we have you on to give us the 291 00:15:03,720 --> 00:15:08,360 Speaker 4: reality of it, right, the Biden Kamala economy of the 292 00:15:08,480 --> 00:15:11,800 Speaker 4: last four years. If you were prepping, let's say, Trump 293 00:15:11,800 --> 00:15:13,520 Speaker 4: to go into a debate and make the case about 294 00:15:13,560 --> 00:15:16,960 Speaker 4: what it is, what has actually gone wrong? What has 295 00:15:17,000 --> 00:15:20,000 Speaker 4: gone right? I mean, what is your scorecard for the 296 00:15:20,160 --> 00:15:23,520 Speaker 4: US economy under the stewardship of Biden the last four years. 297 00:15:23,960 --> 00:15:26,040 Speaker 7: Well, you know, if I were Trump doing this, I 298 00:15:26,080 --> 00:15:28,520 Speaker 7: would first place tell the story of what I did 299 00:15:29,360 --> 00:15:33,920 Speaker 7: as Trump during my first term. And it's my opinion 300 00:15:34,120 --> 00:15:37,200 Speaker 7: and as an economist, and I'm just talking about economics, 301 00:15:37,200 --> 00:15:39,880 Speaker 7: and that's it is. It was the single best first 302 00:15:39,960 --> 00:15:42,960 Speaker 7: term of any president in US history from the standpoint 303 00:15:43,000 --> 00:15:47,560 Speaker 7: of economics. And the energy policy was terrific. As you know, 304 00:15:47,760 --> 00:15:51,560 Speaker 7: we were energy independent because of decontrol because of his policies. There, 305 00:15:52,880 --> 00:15:57,960 Speaker 7: Biden and Harris went the exact opposite direction. He also 306 00:15:58,120 --> 00:16:01,400 Speaker 7: did an amazing job with operational warp speed. I mean, 307 00:16:01,440 --> 00:16:04,400 Speaker 7: he developed a vaccine in ten months, little less than 308 00:16:04,440 --> 00:16:07,960 Speaker 7: ten months. It was a phenomenal vaccine. By spending some 309 00:16:08,040 --> 00:16:10,160 Speaker 7: money and by getting rid of all the red tape 310 00:16:10,160 --> 00:16:13,000 Speaker 7: it people expected it would take six years or so, 311 00:16:13,440 --> 00:16:16,280 Speaker 7: and it didn't. He did it in ten months. I mean, amazing. 312 00:16:16,560 --> 00:16:19,200 Speaker 7: Right to try the idea that if you've got a 313 00:16:19,280 --> 00:16:21,480 Speaker 7: terminal disease, you can try any drug you'd like to 314 00:16:21,680 --> 00:16:24,160 Speaker 7: do and not have to have FDA approval. I think 315 00:16:24,200 --> 00:16:27,640 Speaker 7: that was phenomenal as well. One I think that was 316 00:16:27,680 --> 00:16:31,320 Speaker 7: done in the debate with Vance and Waltz was that 317 00:16:31,920 --> 00:16:36,200 Speaker 7: medical transparency, price transparency. The executive Order. Trump did a 318 00:16:36,200 --> 00:16:40,000 Speaker 7: phenomenal job on that. The Tax Cuts and Jobs Act 319 00:16:40,080 --> 00:16:43,960 Speaker 7: worked perfectly. I mean, it really did pay for itself 320 00:16:44,000 --> 00:16:47,080 Speaker 7: in the first two years, and it brought the rates down, 321 00:16:47,160 --> 00:16:50,880 Speaker 7: me much more competitive, led to firm economic growth, and 322 00:16:50,920 --> 00:16:53,440 Speaker 7: there were no delays, no mistakes made in that bill. 323 00:16:54,400 --> 00:16:57,880 Speaker 7: The death tax was reduced quite substantially. All of that 324 00:16:58,000 --> 00:17:01,200 Speaker 7: was done. The personal income task drop from thirty nine 325 00:17:01,360 --> 00:17:03,960 Speaker 7: six to thirty seven. There were a couple of passers there. 326 00:17:04,240 --> 00:17:06,840 Speaker 7: I mean, he did a superb job. And then you 327 00:17:06,920 --> 00:17:11,919 Speaker 7: compare that with Biden, who raised tax rates, who did 328 00:17:11,960 --> 00:17:14,680 Speaker 7: a lot of spending. You know, Trump did spending by 329 00:17:14,680 --> 00:17:17,360 Speaker 7: the way, once the pandemic hit, which I don't think 330 00:17:17,400 --> 00:17:18,960 Speaker 7: should have been done, at least a lot of it 331 00:17:18,960 --> 00:17:21,560 Speaker 7: shouldn't have been. But Biden did it the whole time 332 00:17:21,640 --> 00:17:24,760 Speaker 7: there and just wasted the money. And I think the 333 00:17:24,800 --> 00:17:29,440 Speaker 7: operation of the Fed under Biden, under Powell and Biden's 334 00:17:29,520 --> 00:17:32,960 Speaker 7: term led to very high inflation as well. So the 335 00:17:32,960 --> 00:17:35,480 Speaker 7: way I take it is in almost every single area 336 00:17:35,480 --> 00:17:40,640 Speaker 7: of economics, Trump far exceeds Biden, not only in volume 337 00:17:40,680 --> 00:17:44,080 Speaker 7: but in direction. I think Trump did tax cuts, Biden 338 00:17:44,080 --> 00:17:48,560 Speaker 7: did tax increases of government spending. Trump did spending cuts 339 00:17:48,600 --> 00:17:52,639 Speaker 7: until the pandemic, and Biden did increases right from the 340 00:17:52,680 --> 00:17:55,840 Speaker 7: get go. I mean, look at defense again, the same 341 00:17:55,880 --> 00:17:59,800 Speaker 7: thing there. The one thing I would really juxtapose where 342 00:18:00,680 --> 00:18:03,919 Speaker 7: where I Trump and Biden, where I Trump and Biden 343 00:18:04,000 --> 00:18:09,120 Speaker 7: or Harris is the role played by by peace through strength, 344 00:18:10,080 --> 00:18:12,639 Speaker 7: the sort of the old Reagan doctrine of peace through strength, 345 00:18:13,040 --> 00:18:17,000 Speaker 7: where Trump really followed it precisely, and Biden and Harris 346 00:18:17,000 --> 00:18:21,440 Speaker 7: did just the opposite policy. They did war through war 347 00:18:21,480 --> 00:18:24,320 Speaker 7: through weakness. And so that's where that's where I'd come 348 00:18:24,359 --> 00:18:28,120 Speaker 7: out on the two teams. And Trump is just amazing 349 00:18:28,160 --> 00:18:30,840 Speaker 7: on economics and on international politics. 350 00:18:31,280 --> 00:18:33,240 Speaker 3: Okay, I wanted to have you on, doctor Laffer, and 351 00:18:33,280 --> 00:18:34,960 Speaker 3: I appreciate it. I've gotten to meet you a couple 352 00:18:35,000 --> 00:18:36,960 Speaker 3: of times. You live in Nashville. I think you got 353 00:18:37,160 --> 00:18:40,000 Speaker 3: one hundred and sixty three grandkids, which I'm glad to 354 00:18:40,000 --> 00:18:42,399 Speaker 3: have your genes because we need as much intelligence and 355 00:18:42,560 --> 00:18:46,120 Speaker 3: economics as we can. But I want to dive in 356 00:18:46,200 --> 00:18:49,320 Speaker 3: because you're so good at explaining this. You have advised 357 00:18:49,480 --> 00:18:54,920 Speaker 3: or been involved with high level politicians for forty fifty years. 358 00:18:54,960 --> 00:18:57,720 Speaker 2: I mean, like you said, going back to Reagan first, I. 359 00:18:57,720 --> 00:18:59,560 Speaker 7: Was in nineteen seventy. I was in the White House 360 00:18:59,560 --> 00:19:02,439 Speaker 7: at George Else's right hand person in nineteen seventy. 361 00:19:02,880 --> 00:19:05,480 Speaker 3: Okay, going all the way back to nineteen seventy, I 362 00:19:05,640 --> 00:19:10,399 Speaker 3: look and hear Kamala Harris speak, and I think to myself, 363 00:19:10,560 --> 00:19:14,479 Speaker 3: she is functionally, it seems to me economically illiterate, at 364 00:19:14,600 --> 00:19:17,200 Speaker 3: least with what she is saying publicly. She's talking about 365 00:19:17,280 --> 00:19:20,840 Speaker 3: price controls on grocery stores. You know this, Grocery stores 366 00:19:20,880 --> 00:19:23,560 Speaker 3: have one of the lowest level profits we've got in 367 00:19:23,640 --> 00:19:26,800 Speaker 3: any industry out there. She says that price gouging is 368 00:19:26,840 --> 00:19:29,679 Speaker 3: going on, and seems to be citing things like what 369 00:19:29,680 --> 00:19:32,359 Speaker 3: would happen with Hurricane Helene. We have laws that are 370 00:19:32,359 --> 00:19:34,440 Speaker 3: in place that you shouldn't be able to suddenly charge 371 00:19:34,440 --> 00:19:38,320 Speaker 3: ten dollars a gallon for a milk or for a 372 00:19:38,440 --> 00:19:41,680 Speaker 3: gallon of gas or whatever else because there's a natural disaster. 373 00:19:42,040 --> 00:19:45,320 Speaker 3: She doesn't seem to understand what those price cap regulations 374 00:19:45,359 --> 00:19:50,240 Speaker 3: are associated with. Since nineteen seventy. Where does Kamala Harris 375 00:19:50,359 --> 00:19:54,280 Speaker 3: rank to you from an economic policy perspective. Let's say 376 00:19:54,320 --> 00:19:56,720 Speaker 3: there's just people out there making a decision. Hey, I 377 00:19:56,840 --> 00:19:58,840 Speaker 3: just wanted best economy out there because I think a 378 00:19:58,920 --> 00:20:01,120 Speaker 3: rising tide lifts all but votes. That's what the president 379 00:20:01,119 --> 00:20:03,720 Speaker 3: should do, That's what the federal government should do. Where 380 00:20:03,760 --> 00:20:05,840 Speaker 3: does Kamala rank in your experience? 381 00:20:06,200 --> 00:20:08,159 Speaker 7: Well, I'm one hundred and six percent with you on 382 00:20:08,200 --> 00:20:10,720 Speaker 7: the rising tide. The Kennedy model. Is this the perfect 383 00:20:10,720 --> 00:20:13,080 Speaker 7: model for this? To be honest with you, I mean, 384 00:20:13,400 --> 00:20:16,840 Speaker 7: if you judge her by Biden that she was complicit 385 00:20:16,880 --> 00:20:19,080 Speaker 7: in all of the Biden policies, you know, she's a 386 00:20:19,080 --> 00:20:22,800 Speaker 7: big spending liberal Democrat, clear and simple and buying votes 387 00:20:22,840 --> 00:20:26,280 Speaker 7: from other groups and causing the economy to weigh underperform. 388 00:20:26,520 --> 00:20:29,360 Speaker 7: I mean, that would be the perfect example. Price controls 389 00:20:29,440 --> 00:20:33,359 Speaker 7: is just something she naturally grabs to because she's been 390 00:20:33,440 --> 00:20:35,639 Speaker 7: raised in government all of her life, so she thinks, 391 00:20:36,359 --> 00:20:39,040 Speaker 7: if there's a problem, always go to government for a solution, 392 00:20:39,560 --> 00:20:42,600 Speaker 7: and price controls. I don't think she's aware of all 393 00:20:42,640 --> 00:20:45,159 Speaker 7: the problems we had with price controls under Nixon and 394 00:20:45,240 --> 00:20:48,520 Speaker 7: they just didn't work. They caused all sorts of dislocations, 395 00:20:48,840 --> 00:20:50,879 Speaker 7: and I don't think she understood. She's just trying to 396 00:20:51,040 --> 00:20:53,399 Speaker 7: She's just trying to explain or trying to justify, or 397 00:20:53,440 --> 00:20:55,880 Speaker 7: trying to make excuses for why there was such high 398 00:20:55,920 --> 00:20:59,520 Speaker 7: inflation under Biden Harris, and that you get the gougers, etc. 399 00:21:00,000 --> 00:21:03,879 Speaker 7: In fact, it was her economic policies that slowed economic growth. 400 00:21:04,400 --> 00:21:08,320 Speaker 7: It was hers and Biden's economic monetary policies that increase 401 00:21:08,400 --> 00:21:12,520 Speaker 7: the monetary base, the balanceship sheet of the Fed. I mean, 402 00:21:12,520 --> 00:21:16,560 Speaker 7: what was it in two thousand and eight? I think 403 00:21:16,560 --> 00:21:18,879 Speaker 7: the balance sheet was at eight fifty eight billion something 404 00:21:18,920 --> 00:21:21,680 Speaker 7: like that, in a fifty eight billion, and at its 405 00:21:21,720 --> 00:21:25,000 Speaker 7: peak under Biden Harris it was at nine point three trillion. 406 00:21:25,320 --> 00:21:27,360 Speaker 7: I mean, is it any wonder we had in high 407 00:21:27,400 --> 00:21:31,280 Speaker 7: inflation under them? That was exactly what happened. And they 408 00:21:31,320 --> 00:21:34,200 Speaker 7: also caused the economy to slow way way down, which 409 00:21:34,600 --> 00:21:37,880 Speaker 7: further added to inflationary pressure. So this is what she's 410 00:21:37,920 --> 00:21:39,760 Speaker 7: trying to do, and she's just trying to find excuses 411 00:21:39,760 --> 00:21:42,160 Speaker 7: and to see if something sticks by throwing it against 412 00:21:42,200 --> 00:21:45,080 Speaker 7: the wall. I'm not sure how she'll behave once she's 413 00:21:45,080 --> 00:21:45,800 Speaker 7: in office, though. 414 00:21:46,400 --> 00:21:50,040 Speaker 3: What do you think, doctor Laffer. Let's pretend that COVID 415 00:21:50,119 --> 00:21:54,680 Speaker 3: doesn't happen. Trump in February of twenty twenty, I think 416 00:21:54,720 --> 00:21:57,280 Speaker 3: we had the strongest economy in the history of the 417 00:21:57,400 --> 00:22:01,520 Speaker 3: United States, White, Black, Asian, Hispanic wages arising. Inflation's one 418 00:22:01,680 --> 00:22:04,200 Speaker 3: point four percent or whatever the heck it was two 419 00:22:04,280 --> 00:22:07,240 Speaker 3: and a half percent, mortgage rates. People have more money 420 00:22:07,280 --> 00:22:10,480 Speaker 3: in their pocket. If COVID doesn't happen. And we're having 421 00:22:10,560 --> 00:22:14,119 Speaker 3: this conversation right now, how good do you think a 422 00:22:14,280 --> 00:22:16,919 Speaker 3: second term? Because I think Trump would have won without 423 00:22:16,960 --> 00:22:19,840 Speaker 3: COVID for sure, How good do you think a second 424 00:22:20,480 --> 00:22:23,359 Speaker 3: Trump term would have been for the economy? And where 425 00:22:23,359 --> 00:22:25,320 Speaker 3: do you think we'd be sitting right now? 426 00:22:26,280 --> 00:22:28,760 Speaker 7: Well, you know, I think everyone agrees with you that 427 00:22:28,840 --> 00:22:31,399 Speaker 7: Tump would have won in a landslide, maybe get forty 428 00:22:31,480 --> 00:22:34,960 Speaker 7: nine states. I think even Saturday Night Live conceded that 429 00:22:35,119 --> 00:22:37,760 Speaker 7: time and time until the COVID hit, and the COVID 430 00:22:37,800 --> 00:22:42,240 Speaker 7: became the perfect opportunity, opportunity for the Democrats to try 431 00:22:42,280 --> 00:22:45,160 Speaker 7: to knock him down, and they succeeded in that. If 432 00:22:45,200 --> 00:22:47,959 Speaker 7: it hadn't have occurred, I think we would have had 433 00:22:48,000 --> 00:22:51,240 Speaker 7: the best presidency ever in US history. His first term 434 00:22:51,320 --> 00:22:55,560 Speaker 7: was singularly the best in economics of any presidency in 435 00:22:55,600 --> 00:22:58,760 Speaker 7: its first term period. And I really went through a 436 00:22:58,800 --> 00:23:00,480 Speaker 7: bunch of them there with you. But there was a 437 00:23:00,480 --> 00:23:05,240 Speaker 7: lot more in deregulation, ten deregulations for everyone, the Supreme 438 00:23:05,320 --> 00:23:08,439 Speaker 7: Court that he appointed, and I'm not talking social issues 439 00:23:08,480 --> 00:23:11,760 Speaker 7: now here, I'm talking just economics. They reined back all 440 00:23:11,760 --> 00:23:15,400 Speaker 7: the regulatory agencies to not be able to legislate through 441 00:23:15,600 --> 00:23:19,360 Speaker 7: regulations through the regulatory agencies. I mean, how cool is that? 442 00:23:19,920 --> 00:23:22,440 Speaker 7: I mean, all of this stuff. I think Trump, with 443 00:23:22,520 --> 00:23:24,640 Speaker 7: the Supreme Court, he had, with the Congress he would 444 00:23:24,640 --> 00:23:28,000 Speaker 7: have had as well, could have done a job even 445 00:23:28,040 --> 00:23:30,680 Speaker 7: better than Reagan did on the second term. And Reagan's 446 00:23:30,720 --> 00:23:34,479 Speaker 7: second term was spectacular. I mean Reagan cut the highest 447 00:23:34,520 --> 00:23:37,600 Speaker 7: tax rate in his two terms from seventy percent to 448 00:23:37,680 --> 00:23:41,080 Speaker 7: twenty eight percent. He raised the lowest rate from twelve 449 00:23:41,119 --> 00:23:44,040 Speaker 7: and a half percent to fifteen. He went from eleven 450 00:23:44,119 --> 00:23:47,439 Speaker 7: tax brackets to two tax brackets. He cut the corporate 451 00:23:47,520 --> 00:23:50,600 Speaker 7: rate from forty six to thirty four. I mean he 452 00:23:50,640 --> 00:23:54,280 Speaker 7: got rid of all those deductions, exemptions, exclusions, loopholes. I 453 00:23:54,320 --> 00:23:57,480 Speaker 7: mean we got a vote in the Senate for the 454 00:23:57,520 --> 00:24:00,720 Speaker 7: bill for the eighty six Tax Act of seven to three. 455 00:24:00,800 --> 00:24:03,119 Speaker 7: We had all the Libs to vote with us because 456 00:24:03,119 --> 00:24:05,159 Speaker 7: it was the right thing to do. I think Trump 457 00:24:05,240 --> 00:24:08,280 Speaker 7: could have matched that easily and done an even better 458 00:24:08,359 --> 00:24:10,720 Speaker 7: job than Reagan did if he had not had the 459 00:24:10,760 --> 00:24:14,639 Speaker 7: pandemic and been elected. So I'm really very sad that 460 00:24:14,720 --> 00:24:18,359 Speaker 7: he wasn't reelected without the pandemic. I mean, it would 461 00:24:18,359 --> 00:24:20,800 Speaker 7: have been just a phenomenal period. We would have been 462 00:24:21,040 --> 00:24:22,720 Speaker 7: We wouldn't have had any of these wars in the 463 00:24:22,720 --> 00:24:25,560 Speaker 7: Middle Least, we wouldn't be in the Ukraine. We wouldn't 464 00:24:25,640 --> 00:24:28,360 Speaker 7: have Houti rebels firing rockets at our ships or any 465 00:24:28,359 --> 00:24:31,040 Speaker 7: of that stuff. It would have been pieced through strength. 466 00:24:31,359 --> 00:24:33,520 Speaker 7: And the strength is in the economy as well as 467 00:24:33,560 --> 00:24:35,280 Speaker 7: defense and strength. 468 00:24:35,400 --> 00:24:37,600 Speaker 4: We speaking of Art Laffer and Art I'm sorry, Ar. 469 00:24:37,680 --> 00:24:39,280 Speaker 4: I just wanted to say, if you could take us 470 00:24:39,760 --> 00:24:43,000 Speaker 4: for a look ahead. Let's say that the American people 471 00:24:43,040 --> 00:24:46,200 Speaker 4: do the right thing and Donald Trump does win for 472 00:24:47,040 --> 00:24:51,359 Speaker 4: more years. A lot of it will be the reinstituting 473 00:24:51,600 --> 00:24:54,320 Speaker 4: of policies that you've been discussing that were so successful. 474 00:24:54,400 --> 00:24:57,119 Speaker 4: But what would you add to that, or what would 475 00:24:57,119 --> 00:24:59,600 Speaker 4: you say would be top of the economic agenda for 476 00:24:59,640 --> 00:25:02,800 Speaker 4: Trump term two to really get things cooking again. 477 00:25:03,480 --> 00:25:07,480 Speaker 7: I really think price transparency, healthcare transparency. You know, there 478 00:25:07,560 --> 00:25:10,160 Speaker 7: is a huge you know, we've had a huge reduction 479 00:25:10,240 --> 00:25:12,920 Speaker 7: in our life expectancy relative to the OECD over the 480 00:25:13,000 --> 00:25:16,159 Speaker 7: last fifty plus years, and a huge increase in the 481 00:25:16,240 --> 00:25:20,280 Speaker 7: cost of healthcare over that same time period, again relative 482 00:25:20,320 --> 00:25:23,800 Speaker 7: to the OECD. I mean, we have been suffering enormously 483 00:25:23,840 --> 00:25:26,679 Speaker 7: because we don't have price transparency. You don't know what 484 00:25:26,720 --> 00:25:29,480 Speaker 7: the prices are, you don't know what the qualities are. 485 00:25:29,640 --> 00:25:33,159 Speaker 7: It's all hidden in insurance companies, policies, et cetera. And 486 00:25:33,240 --> 00:25:36,000 Speaker 7: we need price transparency, which I think Trump should do. 487 00:25:36,920 --> 00:25:39,080 Speaker 7: I think Trump will do it, and I think it 488 00:25:39,080 --> 00:25:42,040 Speaker 7: will have an enormous impact. Remember, healthcare is something like 489 00:25:42,160 --> 00:25:45,359 Speaker 7: twenty percent of GDP, and to have a non market 490 00:25:45,480 --> 00:25:49,520 Speaker 7: economy as twenty percent of the GDP is just killing us. 491 00:25:49,800 --> 00:25:52,720 Speaker 7: I mean literally and figuratively. That I think is the 492 00:25:52,760 --> 00:25:54,159 Speaker 7: single most important thing to do. 493 00:25:54,840 --> 00:25:57,960 Speaker 3: We're talking to doctor Art Laffer. Last question for you 494 00:25:58,040 --> 00:26:00,760 Speaker 3: at Actually, my sixteen year old who is junior in 495 00:26:00,840 --> 00:26:04,639 Speaker 3: high school right now, wanted me to ask you about this. Oh, 496 00:26:04,760 --> 00:26:08,360 Speaker 3: he's fired up about the national debt and the concept 497 00:26:08,359 --> 00:26:12,160 Speaker 3: he does debate and the concept of modern monetary theory, 498 00:26:12,680 --> 00:26:14,879 Speaker 3: and he wants to know. And I said, I'm talking 499 00:26:14,920 --> 00:26:18,240 Speaker 3: to a super smart economist on the show. He knows 500 00:26:18,240 --> 00:26:20,440 Speaker 3: who you are, he studied your work. I think he's 501 00:26:20,440 --> 00:26:23,080 Speaker 3: going to major in economics when he gets older. He 502 00:26:23,160 --> 00:26:27,200 Speaker 3: wants to know at what rate does our national debt 503 00:26:27,640 --> 00:26:31,520 Speaker 3: become so crippling that no matter what political party you 504 00:26:32,160 --> 00:26:36,359 Speaker 3: are are supporting, it becomes incredibly difficult to get the 505 00:26:36,400 --> 00:26:40,119 Speaker 3: economy rolling because of the weight of that national debt. 506 00:26:40,359 --> 00:26:43,240 Speaker 7: I think we're miles and miles and miles away from 507 00:26:43,240 --> 00:26:46,840 Speaker 7: that type of crux. If you look at debt, you 508 00:26:46,840 --> 00:26:49,640 Speaker 7: should never compare it to GDP. You know, everyone says 509 00:26:49,640 --> 00:26:51,920 Speaker 7: it's one hundred and twenty percent of GDP or whatever 510 00:26:51,960 --> 00:26:55,520 Speaker 7: the numbers are. You should always compare debt to wealth 511 00:26:56,240 --> 00:26:59,440 Speaker 7: or debt service to GDP. If you look at debt 512 00:26:59,480 --> 00:27:02,520 Speaker 7: to wealth, you know it's too high, but it's not critical. 513 00:27:02,560 --> 00:27:04,520 Speaker 7: Don't jump out the window. If you look at debt 514 00:27:04,600 --> 00:27:08,080 Speaker 7: service to GDP, it's still too high, but we have 515 00:27:08,400 --> 00:27:11,320 Speaker 7: plenty from to be able to grow our way out 516 00:27:11,320 --> 00:27:15,399 Speaker 7: of this debt. And remember always that it's not debt 517 00:27:15,440 --> 00:27:19,320 Speaker 7: that's the problem. Debt is a tool. It's the spread. 518 00:27:19,440 --> 00:27:22,320 Speaker 7: If you use the spending to pay people not to work, 519 00:27:23,440 --> 00:27:26,000 Speaker 7: that's kills your economy. If you use the spending to 520 00:27:26,040 --> 00:27:29,960 Speaker 7: create jobs, output employment, by cutting taxes and by increasing 521 00:27:30,000 --> 00:27:33,000 Speaker 7: defenses we did under Reagan, it's the biggest boon to 522 00:27:33,160 --> 00:27:36,200 Speaker 7: economic growth you can imagine. So I would tell your son, 523 00:27:36,520 --> 00:27:41,160 Speaker 7: you know, don't get overly worried about the debt. It's 524 00:27:41,200 --> 00:27:43,439 Speaker 7: not a debt problem. We can grow out of this 525 00:27:43,520 --> 00:27:48,000 Speaker 7: debt with good policies very easily. And it shouldn't be 526 00:27:48,080 --> 00:27:50,480 Speaker 7: people shouldn't be on the edge of their chairs jumping 527 00:27:50,520 --> 00:27:53,200 Speaker 7: out the windows. It's not the biggest problem. We need 528 00:27:53,240 --> 00:27:57,119 Speaker 7: a low rate, broad based slat tax, spending restraints, sound money, 529 00:27:57,359 --> 00:28:01,480 Speaker 7: minimal regulations, and free trade and this economy will take 530 00:28:01,520 --> 00:28:02,880 Speaker 7: care of debt in minutes. 531 00:28:03,640 --> 00:28:06,040 Speaker 4: Hi, love after our life. I appreciate you being with us, sir. 532 00:28:06,720 --> 00:28:09,119 Speaker 7: My pleasure. Thank you very much for having me and 533 00:28:09,160 --> 00:28:11,240 Speaker 7: say hello to that child of yours. 534 00:28:11,840 --> 00:28:13,399 Speaker 2: I will for sure, sir, thank you. 535 00:28:13,400 --> 00:28:15,919 Speaker 7: Hope, I hope the answer was okay for him. 536 00:28:16,280 --> 00:28:18,320 Speaker 3: He'll love it. He's in class for now, but we'll 537 00:28:18,320 --> 00:28:18,919 Speaker 3: play it for him. 538 00:28:19,000 --> 00:28:20,480 Speaker 2: Yeah, it's the deal. Thank you. 539 00:28:23,040 --> 00:28:27,080 Speaker 1: You're listening to twenty four the most important tier in 540 00:28:27,160 --> 00:28:30,200 Speaker 1: politics with Clay Travis and Box Sexton. 541 00:28:31,480 --> 00:28:34,679 Speaker 3: So we bring in now Ryan Gurdusky. I am a subscriber, 542 00:28:34,800 --> 00:28:37,119 Speaker 3: encourage you to be a subscriber as well. He is 543 00:28:37,200 --> 00:28:41,800 Speaker 3: the National Populist newsletter, founder of the seventeen seventy six 544 00:28:41,920 --> 00:28:46,080 Speaker 3: Project Pack, and a master of election data. 545 00:28:46,240 --> 00:28:47,760 Speaker 2: And Ryan, I want to start with this. 546 00:28:47,920 --> 00:28:53,320 Speaker 3: I saw you tweet this out shortly ago, numbers in Pennsylvania, 547 00:28:53,440 --> 00:28:55,600 Speaker 3: and I think you would agree with with both Buck 548 00:28:55,640 --> 00:28:59,960 Speaker 3: and me that this is the biggest state. If you 549 00:29:00,160 --> 00:29:02,120 Speaker 3: had to point to one state and say, hey, we 550 00:29:02,160 --> 00:29:03,720 Speaker 3: want to know what the data is going to show 551 00:29:03,720 --> 00:29:11,680 Speaker 3: there absentee ballot request through October third, Democrats are substantially 552 00:29:11,880 --> 00:29:16,080 Speaker 3: underperforming what they did in twenty twenty. Is this a 553 00:29:16,120 --> 00:29:18,960 Speaker 3: big story? A non story? Take us into what the 554 00:29:19,080 --> 00:29:23,680 Speaker 3: data is showing us an absentee ballot request in Pennsylvania. 555 00:29:23,800 --> 00:29:24,920 Speaker 8: Hey, thanks for having me on. 556 00:29:25,040 --> 00:29:25,200 Speaker 7: Yes. 557 00:29:25,280 --> 00:29:28,160 Speaker 8: So they're not only performing their twenty twenty numbers, which 558 00:29:28,160 --> 00:29:30,200 Speaker 8: would make sense given that it was COVID and a 559 00:29:30,240 --> 00:29:33,880 Speaker 8: lot of people, especially Democrats, were afraid to be around people. 560 00:29:34,200 --> 00:29:38,280 Speaker 8: But they're underperforming at twenty twenty two ballot requests so far. 561 00:29:38,440 --> 00:29:40,680 Speaker 8: So as of right now, Democrats in the state of 562 00:29:40,760 --> 00:29:45,760 Speaker 8: Pennsylvania have requested nine hundred and thirty thousand absentee ballots. 563 00:29:45,760 --> 00:29:50,000 Speaker 8: That's sixty one point six percent of all absentee ballads. 564 00:29:50,040 --> 00:29:54,000 Speaker 8: Republicans have requested four hundred and eight thousand. In independence, 565 00:29:54,040 --> 00:29:57,800 Speaker 8: one hundred and seventy one thousand. Republicans make about twenty 566 00:29:57,800 --> 00:30:02,560 Speaker 8: seven percent of all absentee the ballots. Republicans are getting 567 00:30:02,600 --> 00:30:06,760 Speaker 8: about seven thousand to eight thousand new absentee requests per day, 568 00:30:06,800 --> 00:30:11,600 Speaker 8: Democrats about eight or nine thousand. That is a significant 569 00:30:11,720 --> 00:30:15,920 Speaker 8: difference from twenty twenty two and from twenty twenty not 570 00:30:16,080 --> 00:30:21,320 Speaker 8: just a mere physical number, but a percentage overall. One 571 00:30:21,360 --> 00:30:24,440 Speaker 8: of the reasons why Democrats were so successful in twenty 572 00:30:24,480 --> 00:30:27,760 Speaker 8: twenty two, aside from Republicans dominating a crazy person for governor, 573 00:30:28,280 --> 00:30:32,840 Speaker 8: was because in twenty twenty two, Democrats walked into election 574 00:30:32,960 --> 00:30:37,240 Speaker 8: day having a six hundred and fifty thousand absentee ballot 575 00:30:37,320 --> 00:30:40,800 Speaker 8: requests and they had sixty almost sixty nine percent of 576 00:30:40,960 --> 00:30:44,800 Speaker 8: all absentee ballot requests. There is a very very very 577 00:30:44,920 --> 00:30:49,240 Speaker 8: high chance that come this election at end of this month, 578 00:30:49,280 --> 00:30:52,240 Speaker 8: when affency ballots are cut off. I believe on October 579 00:30:52,280 --> 00:30:57,400 Speaker 8: twenty seven, Democrats will be under sixty percent, probably close 580 00:30:57,440 --> 00:30:59,920 Speaker 8: to fifty nine. If Republicans can manage to get over 581 00:31:00,280 --> 00:31:03,240 Speaker 8: thirty percent, and they're getting about point one percent per day, 582 00:31:03,360 --> 00:31:06,160 Speaker 8: point two point one and a half percent per day, 583 00:31:06,600 --> 00:31:09,719 Speaker 8: that they will get over thirty and Democrats will under fifty. 584 00:31:09,920 --> 00:31:11,960 Speaker 8: Now that doesn't mean that Democrats won't show up on 585 00:31:12,040 --> 00:31:16,120 Speaker 8: election day, but it does mean that Republicans are not 586 00:31:16,280 --> 00:31:19,200 Speaker 8: going into election day with such a massive deficit that 587 00:31:19,240 --> 00:31:20,240 Speaker 8: they can't come out. 588 00:31:20,680 --> 00:31:22,920 Speaker 3: Now, what would democrats sorry to cut you off? What 589 00:31:22,920 --> 00:31:26,120 Speaker 3: would democrats say if they were trying to make the 590 00:31:26,160 --> 00:31:28,800 Speaker 3: case for why this doesn't matter? In other words, there's 591 00:31:28,840 --> 00:31:32,200 Speaker 3: always data, as you know, and sometimes data can tell 592 00:31:32,280 --> 00:31:36,800 Speaker 3: multiple stories. Is there anything that Democrats could argue based 593 00:31:36,840 --> 00:31:41,640 Speaker 3: on this that you think would undercut that Republicans are 594 00:31:41,640 --> 00:31:44,560 Speaker 3: doing better than anticipated in Pennsylvania? 595 00:31:44,800 --> 00:31:46,440 Speaker 8: Right, So what they're going to sit there and say 596 00:31:46,480 --> 00:31:50,160 Speaker 8: is that Republicans are cannibalizing their election day vote, that 597 00:31:50,160 --> 00:31:52,440 Speaker 8: people who would have voted an election day are just 598 00:31:52,520 --> 00:31:56,640 Speaker 8: voting early and it doesn't actually change the total the 599 00:31:56,880 --> 00:32:01,560 Speaker 8: end day, the actual end number. What's going on in Virginia, 600 00:32:01,600 --> 00:32:03,960 Speaker 8: which is very interesting, which obviously is a different state. 601 00:32:04,000 --> 00:32:07,360 Speaker 8: It's a much less competitive state. The state that commonhows 602 00:32:07,440 --> 00:32:10,520 Speaker 8: is most likely going to win is that the amount 603 00:32:10,520 --> 00:32:14,040 Speaker 8: of people who have zero early voting history, as our 604 00:32:14,240 --> 00:32:17,680 Speaker 8: zero voting history, peop who have never voted before are 605 00:32:17,680 --> 00:32:22,200 Speaker 8: inching up close to five percent. Many in Trump leaning precincts, 606 00:32:22,280 --> 00:32:25,080 Speaker 8: people who have never voted before that are they are 607 00:32:25,120 --> 00:32:28,240 Speaker 8: shown and voting early. Also, people with low propensity voting 608 00:32:28,440 --> 00:32:32,920 Speaker 8: history are also inching up between in Virginia. Offensive of Virginia, 609 00:32:33,400 --> 00:32:37,000 Speaker 8: twenty three percent of all people who have voted early 610 00:32:37,040 --> 00:32:40,760 Speaker 8: in Virginia have either never voted before or very very 611 00:32:40,960 --> 00:32:45,480 Speaker 8: infrequently vote. That's a large percentage. It's a little higher 612 00:32:45,480 --> 00:32:47,600 Speaker 8: than normal, and it's coming a lot of times out 613 00:32:47,640 --> 00:32:52,120 Speaker 8: of Trump. It's precincts and districts that Trump won. If 614 00:32:52,160 --> 00:32:55,320 Speaker 8: that is true in Pennsylvania as well, and we're seeing 615 00:32:55,360 --> 00:32:58,720 Speaker 8: a little bit in the Mercer County area, a little 616 00:32:58,720 --> 00:33:01,600 Speaker 8: bit in some areas that have a very heavy rural 617 00:33:01,640 --> 00:33:06,280 Speaker 8: turnout which are very Trump friendly, that we're seeing the 618 00:33:06,320 --> 00:33:09,400 Speaker 8: same exact thing right now. Republicans are ahead of Democrats 619 00:33:09,400 --> 00:33:13,320 Speaker 8: in seventeen of the sixty seven counties. By the middle 620 00:33:13,320 --> 00:33:15,120 Speaker 8: of next week, they're going to be ahead in about 621 00:33:15,160 --> 00:33:17,800 Speaker 8: twenty two counties. So we're going to see the numbers 622 00:33:17,840 --> 00:33:20,400 Speaker 8: come in. We're in rural counties, but Trump would have 623 00:33:20,440 --> 00:33:23,120 Speaker 8: won no matter what the numbers going into election day. 624 00:33:23,160 --> 00:33:25,760 Speaker 8: The numbers of votes that are completely banked for election 625 00:33:25,920 --> 00:33:31,480 Speaker 8: day are going to be a sizably Republican where anything 626 00:33:31,680 --> 00:33:33,800 Speaker 8: on election Day on top of that is just kind 627 00:33:33,800 --> 00:33:37,840 Speaker 8: of gravy to offset votes coming out of Montgomery County, 628 00:33:37,880 --> 00:33:43,480 Speaker 8: Alleghany County, Philadelphia County. And that's how the election is 629 00:33:43,520 --> 00:33:46,320 Speaker 8: waned if those votes out of rural counties are so 630 00:33:46,400 --> 00:33:50,200 Speaker 8: high and so heavy that they offset suburbs and the 631 00:33:50,720 --> 00:33:53,080 Speaker 8: urban areas like Philadelphia and Alleghany County. 632 00:33:54,360 --> 00:33:57,240 Speaker 4: Ryan Grodowski with us Now seventeen seventy six, Project pac 633 00:33:57,360 --> 00:34:04,000 Speaker 4: founder and a national populist newsletter on Substack. Ryan the 634 00:34:04,120 --> 00:34:10,000 Speaker 4: Right now Kamala's performance in the polls relative to Joe Biden, 635 00:34:10,360 --> 00:34:13,920 Speaker 4: who is she doing better with? Who is she underperforming with? 636 00:34:14,000 --> 00:34:17,120 Speaker 4: Because I feel like that gives us a pretty good 637 00:34:17,200 --> 00:34:20,239 Speaker 4: indication of how this is really going right. 638 00:34:20,400 --> 00:34:23,960 Speaker 8: That's a great question. In so, according to there's a 639 00:34:24,040 --> 00:34:28,880 Speaker 8: narrative in the media that Harris has unprecedented female support 640 00:34:29,400 --> 00:34:32,480 Speaker 8: that's not really showing up in the polling averages. She's 641 00:34:32,520 --> 00:34:37,040 Speaker 8: about fifteen points ahead among women voters overall. That's exactly 642 00:34:37,080 --> 00:34:40,520 Speaker 8: where Harris and Biden were, sorry, Clinton and Biden were 643 00:34:40,760 --> 00:34:44,879 Speaker 8: in twenty sixteen and in twenty twenty. The difference in 644 00:34:45,200 --> 00:34:49,640 Speaker 8: these polls that have a tide race, like the Quinnipiac Poll, CNN, 645 00:34:50,080 --> 00:34:55,439 Speaker 8: Emerson Marit, Fox News, Pew Research, the New York Times 646 00:34:55,480 --> 00:34:58,200 Speaker 8: Ciena poll, they all either have the candidates up or 647 00:34:58,239 --> 00:35:01,600 Speaker 8: down by a point are exactly tied. Versus those races 648 00:35:01,640 --> 00:35:05,520 Speaker 8: that have Kama with a five point national lead. Is 649 00:35:05,560 --> 00:35:09,080 Speaker 8: the male vote in the role and the races that 650 00:35:09,160 --> 00:35:13,000 Speaker 8: have Kamala with a substantial four or five point lead nationwide, 651 00:35:13,320 --> 00:35:15,600 Speaker 8: She's doing as well. We sorry, Trump is doing as 652 00:35:15,640 --> 00:35:18,560 Speaker 8: well with men as he did in twenty twenty against 653 00:35:18,640 --> 00:35:21,200 Speaker 8: Joe Biden in the races where in the polls that 654 00:35:21,239 --> 00:35:23,759 Speaker 8: have him tied. Trump is doing as well with men 655 00:35:23,800 --> 00:35:27,719 Speaker 8: as he did against Clinton in twenty sixteen. So much 656 00:35:27,719 --> 00:35:30,440 Speaker 8: has been made about the female vote in this election, 657 00:35:30,719 --> 00:35:34,440 Speaker 8: when the real story is how much are men turning up? 658 00:35:34,480 --> 00:35:37,120 Speaker 8: Are they showing up our men are men actually being 659 00:35:37,480 --> 00:35:40,000 Speaker 8: active in elections because women always vote, usually more than 660 00:35:40,040 --> 00:35:43,120 Speaker 8: men do. And how heavily are they siding with Trump? 661 00:35:43,360 --> 00:35:46,080 Speaker 8: Because we've heard a number of stories of Trump getting 662 00:35:46,080 --> 00:35:50,319 Speaker 8: support among black, young black men, young Hispanic men, white 663 00:35:50,360 --> 00:35:52,680 Speaker 8: working class males. If they show up and if the 664 00:35:52,760 --> 00:35:56,200 Speaker 8: polls are accurate, I think you're going to see elections 665 00:35:56,200 --> 00:35:58,279 Speaker 8: that look a lot more like twenty sixteen than in 666 00:35:58,280 --> 00:36:00,440 Speaker 8: twenty twenty. But the question is will men and actually 667 00:36:00,480 --> 00:36:01,760 Speaker 8: start showing up and voting? 668 00:36:02,560 --> 00:36:05,799 Speaker 3: Ryan, if you were setting odds right now as we 669 00:36:05,880 --> 00:36:09,799 Speaker 3: sit basically one month out from election day, who has 670 00:36:09,920 --> 00:36:13,719 Speaker 3: the better case to win? In your opinion based on 671 00:36:13,760 --> 00:36:16,520 Speaker 3: the data and what you're seeing on the map, Trump 672 00:36:16,680 --> 00:36:19,160 Speaker 3: or Kamala? How would you assess where we're sitting. 673 00:36:19,600 --> 00:36:22,400 Speaker 8: So there's two different stories going on. The public polls 674 00:36:22,440 --> 00:36:25,719 Speaker 8: give Kamala a slight edge. You're seeing averages and most 675 00:36:25,719 --> 00:36:29,320 Speaker 8: predictors say Kamala has a fifty five percent chance. Private 676 00:36:29,400 --> 00:36:32,280 Speaker 8: polls from what I've been hearing in Wisconsin, in Michigan 677 00:36:32,320 --> 00:36:36,400 Speaker 8: and Pennsylvania, have Kamala down where they're substantially more worried. 678 00:36:36,440 --> 00:36:38,920 Speaker 8: There was even a poll done by the end by 679 00:36:38,960 --> 00:36:43,359 Speaker 8: the ARP which was done by Trump's polster. But the 680 00:36:43,400 --> 00:36:45,640 Speaker 8: internals I know for fact, to have Trump ahead in 681 00:36:45,680 --> 00:36:49,680 Speaker 8: Pennsylvania versus the public which have Trump down, that's a 682 00:36:49,719 --> 00:36:53,960 Speaker 8: big question. Tammy Baldwin would not refuse to go make 683 00:36:54,000 --> 00:36:58,880 Speaker 8: a public appearance in Wisconsin with Kamala Harris if she 684 00:36:59,120 --> 00:37:02,960 Speaker 8: was polling well. A slogan who's running in the US 685 00:37:02,960 --> 00:37:06,320 Speaker 8: Senate in Michigan made a huge headline earlier this week 686 00:37:06,480 --> 00:37:10,560 Speaker 8: for saying their internals have heard down. That is probably 687 00:37:10,719 --> 00:37:13,239 Speaker 8: something that is worth keeping an eye on. For as 688 00:37:13,320 --> 00:37:14,680 Speaker 8: much as they are saying, oh, there could be a 689 00:37:14,719 --> 00:37:17,480 Speaker 8: polling error, there is a much different story going on 690 00:37:17,560 --> 00:37:20,440 Speaker 8: in a lot of internal polls than there are public polls. 691 00:37:20,640 --> 00:37:23,840 Speaker 8: And Democrats are counting on early turnout right now to 692 00:37:23,840 --> 00:37:28,080 Speaker 8: sit there in bank on it. If Republicans absentee vote chase, 693 00:37:28,400 --> 00:37:31,600 Speaker 8: if they're early vote chase, to get low propensity people, 694 00:37:31,600 --> 00:37:34,160 Speaker 8: people who can't be counted on because they're just not 695 00:37:34,200 --> 00:37:36,080 Speaker 8: as passionate of politics as let's say, like you or 696 00:37:36,080 --> 00:37:39,799 Speaker 8: I are, then that will that will not mean as much, 697 00:37:39,840 --> 00:37:43,160 Speaker 8: and we'll go into election day with maybe a Harris 698 00:37:43,280 --> 00:37:46,840 Speaker 8: lead slightly but enough that Trump could easily overcome it 699 00:37:46,880 --> 00:37:47,680 Speaker 8: with election day. 700 00:37:47,600 --> 00:37:52,480 Speaker 4: Votes ran how's it looking in Arizona both the presidential 701 00:37:52,560 --> 00:37:54,040 Speaker 4: race and the Senate race there? 702 00:37:54,800 --> 00:37:57,600 Speaker 8: So in Arizona presidential as it looks very good. I mean, 703 00:37:57,760 --> 00:38:01,080 Speaker 8: the Republicans have consistently been pulling out head. Trump has 704 00:38:01,080 --> 00:38:05,239 Speaker 8: consistently been pulling ahead, you know, everywhere basically in the state. 705 00:38:05,320 --> 00:38:08,799 Speaker 8: I'm pretty bullish on Arizona, and it's a state that 706 00:38:08,960 --> 00:38:12,000 Speaker 8: you know, have been trending away from Republicans for a while. 707 00:38:12,360 --> 00:38:16,200 Speaker 8: He leads overall. Trump leaves overall by an average of 708 00:38:16,280 --> 00:38:18,560 Speaker 8: one point four. But Fox News have him up three, 709 00:38:18,680 --> 00:38:21,040 Speaker 8: Matters them up one. New York Times is them up five. 710 00:38:21,440 --> 00:38:23,640 Speaker 8: It looks like a pretty healthy lead, accurrnt to almost 711 00:38:23,640 --> 00:38:27,399 Speaker 8: every polster. The story in the US in a race 712 00:38:27,600 --> 00:38:31,080 Speaker 8: is a completely different one where carry Lake is in 713 00:38:31,600 --> 00:38:33,680 Speaker 8: very bad shape going into this election. 714 00:38:34,040 --> 00:38:35,080 Speaker 4: How behind is she? 715 00:38:36,880 --> 00:38:39,600 Speaker 8: I've heard as much as like a double digit loss 716 00:38:39,640 --> 00:38:44,240 Speaker 8: from people reliable people, or a very high single digit loss, 717 00:38:44,520 --> 00:38:47,080 Speaker 8: where almost there's almost a ten point swing between the 718 00:38:47,239 --> 00:38:51,000 Speaker 8: US Senate race and the US presidential race. People going 719 00:38:51,080 --> 00:38:54,520 Speaker 8: in and Trump winning independence by a big number or 720 00:38:54,600 --> 00:38:59,160 Speaker 8: a sizeable number, rather and her losing by double digits. 721 00:39:00,400 --> 00:39:03,920 Speaker 3: We've talked a lot about Helene and how awful it 722 00:39:04,000 --> 00:39:08,200 Speaker 3: is for so many people in all Southeastern states around 723 00:39:08,320 --> 00:39:12,320 Speaker 3: the Appalachian region where this hurricane came through. We played 724 00:39:12,320 --> 00:39:16,680 Speaker 3: a cut of David Axelrod saying, yes, Ashville's a blue dot, 725 00:39:17,120 --> 00:39:20,920 Speaker 3: but basically those voters are smarter, more sophisticated, They're going 726 00:39:21,000 --> 00:39:24,520 Speaker 3: to find a way to go vote, whereas the Trump voters, 727 00:39:24,640 --> 00:39:27,920 Speaker 3: he basically is saying, are struggling more and will not. 728 00:39:28,760 --> 00:39:31,040 Speaker 3: What are the chances in your mind, given there was 729 00:39:31,080 --> 00:39:36,560 Speaker 3: only a seventy thousand vote margin that this storm, based 730 00:39:36,600 --> 00:39:38,759 Speaker 3: on the people that had displaced and the people that 731 00:39:38,800 --> 00:39:42,840 Speaker 3: are severely struggling right now even to make it out alive, 732 00:39:43,560 --> 00:39:46,680 Speaker 3: that that could swing the outcome of North Carolina, maybe 733 00:39:46,719 --> 00:39:50,080 Speaker 3: impact Georgia as well, given how close vote those states are. 734 00:39:50,239 --> 00:39:53,160 Speaker 3: Is that the I know, seriously, we've talked a lot, 735 00:39:53,200 --> 00:39:54,560 Speaker 3: and we're going to be raising a lot of money 736 00:39:54,600 --> 00:39:56,879 Speaker 3: to just try to help everybody there. But how much 737 00:39:56,880 --> 00:40:00,080 Speaker 3: of a political factor do you think the storm and 738 00:40:00,120 --> 00:40:01,160 Speaker 3: the displacement is. 739 00:40:01,960 --> 00:40:05,040 Speaker 8: Yeah, it depends on how It's very hard when you 740 00:40:05,080 --> 00:40:07,319 Speaker 8: look at the strong displacement, they see what precincts they're 741 00:40:07,320 --> 00:40:09,080 Speaker 8: out of obviously, you know, the city of Asheville, the 742 00:40:09,080 --> 00:40:12,200 Speaker 8: county to Asheville is in, had about a thirty five 743 00:40:12,440 --> 00:40:18,280 Speaker 8: thousand vote margin in favor of Joe Biden in twenty twenty. 744 00:40:18,680 --> 00:40:21,960 Speaker 8: Remember it's not just the city of Asheville, which literally 745 00:40:22,000 --> 00:40:25,480 Speaker 8: throws ninety ten goes ninety ten Democrat, but the suburbs 746 00:40:25,520 --> 00:40:30,880 Speaker 8: of Asheville are also pretty democratic. The areas around Asheville 747 00:40:30,920 --> 00:40:33,360 Speaker 8: and the counties that surround the county of Ashevill's and 748 00:40:33,719 --> 00:40:37,200 Speaker 8: have about a thirty to thirty five thousand vote lead 749 00:40:37,280 --> 00:40:41,239 Speaker 8: for Trump in twenty twenty. It could be. I mean, 750 00:40:41,280 --> 00:40:45,160 Speaker 8: it depends obviously what areas are affected, what laws they 751 00:40:45,160 --> 00:40:48,239 Speaker 8: sit there, and changes somehow to allow people to vote 752 00:40:48,239 --> 00:40:50,759 Speaker 8: maybe in a different county if they show their registration 753 00:40:50,960 --> 00:40:54,560 Speaker 8: or whatnot. There is you know, a decent Lettle level 754 00:40:54,560 --> 00:40:56,239 Speaker 8: of time to sit there and try to find out 755 00:40:56,239 --> 00:40:59,960 Speaker 8: where people are, but it's hard to it's really difficult 756 00:41:00,200 --> 00:41:02,840 Speaker 8: at this moment, is that there and kind of estimate 757 00:41:02,880 --> 00:41:05,759 Speaker 8: how impactful it is and how how much it will 758 00:41:05,880 --> 00:41:13,400 Speaker 8: change the election. I will say in twenty twelve, twenty twelve, 759 00:41:13,719 --> 00:41:17,160 Speaker 8: Mitt Romney lost Staten Island, which John McCain won, and 760 00:41:17,160 --> 00:41:19,840 Speaker 8: Obviously Donald Trump won by a huge margin quite a 761 00:41:19,880 --> 00:41:23,399 Speaker 8: bit because of hurricanes or Superstorm Sandy. So it's not 762 00:41:23,880 --> 00:41:25,919 Speaker 8: because it displaced me from the south short of the Island, 763 00:41:25,920 --> 00:41:28,719 Speaker 8: which are very Republican. It could have that kind of 764 00:41:28,760 --> 00:41:31,960 Speaker 8: effect absolutely where the region votes differently. But I would 765 00:41:32,000 --> 00:41:34,800 Speaker 8: sit there and say that as probably as many Democratic 766 00:41:34,880 --> 00:41:38,719 Speaker 8: precincts are, you know, in a very very very bad 767 00:41:38,760 --> 00:41:43,239 Speaker 8: situation as Republican precincts. It just really matters where they 768 00:41:43,360 --> 00:41:45,799 Speaker 8: actually affected and what laws are changedcause they're not all 769 00:41:45,840 --> 00:41:49,560 Speaker 8: affected equally, and will have to kind of wait and see. 770 00:41:49,560 --> 00:41:52,880 Speaker 8: It's very hard to kind of estimate as of now, Ryan, 771 00:41:53,320 --> 00:41:57,200 Speaker 8: Western North Carolina is probably the most democratic part of Appalachia. 772 00:41:57,719 --> 00:42:00,400 Speaker 8: So it's as less republican than p Well, it's not 773 00:42:00,400 --> 00:42:03,440 Speaker 8: as republican as as Northwest Georgia, not as republican as 774 00:42:03,520 --> 00:42:07,960 Speaker 8: Virginia or Kentucky or Tennessee. So it's not the most 775 00:42:07,960 --> 00:42:09,760 Speaker 8: republican part of North Carolina. 776 00:42:09,760 --> 00:42:10,279 Speaker 7: Believe it or not. 777 00:42:11,000 --> 00:42:14,399 Speaker 3: We are talking to Ryan Gerdusky. Ryan, we appreciate the time. 778 00:42:14,440 --> 00:42:16,440 Speaker 3: I'm sure we'll talk to you again. For people who 779 00:42:16,480 --> 00:42:18,560 Speaker 3: want to follow you, encourage you to go to subscribe 780 00:42:18,600 --> 00:42:22,120 Speaker 3: to Ryan's substack and also go follow him on Twitter 781 00:42:22,680 --> 00:42:24,239 Speaker 3: for the data that he is putting out. 782 00:42:24,239 --> 00:42:25,040 Speaker 2: Appreciate the time. 783 00:42:25,640 --> 00:42:28,360 Speaker 8: Thank you. 784 00:42:28,360 --> 00:42:32,640 Speaker 1: You're listening to twenty four The Year of Impact with 785 00:42:32,840 --> 00:42:33,799 Speaker 1: Clay and Buck. 786 00:42:35,000 --> 00:42:38,719 Speaker 4: We're joined by Julie Kelly Declassified is her substack, which 787 00:42:38,719 --> 00:42:42,440 Speaker 4: you can subscribe to. You know, Julie just want to 788 00:42:42,440 --> 00:42:46,480 Speaker 4: say before we dive into the latest law fair shenanigans. 789 00:42:46,560 --> 00:42:47,759 Speaker 2: You know, we have spent. 790 00:42:49,320 --> 00:42:52,000 Speaker 4: Really the entire show on what we think is actually 791 00:42:52,040 --> 00:42:54,640 Speaker 4: the most important story in the country today. I know 792 00:42:54,680 --> 00:42:57,759 Speaker 4: you agree, which is what's going on in this aftermath 793 00:42:57,920 --> 00:43:02,000 Speaker 4: of Helene and the relief efforts. But we didn't want 794 00:43:02,040 --> 00:43:04,680 Speaker 4: to leave it out there. You know, we don't want 795 00:43:04,680 --> 00:43:06,640 Speaker 4: anyone to say, oh, well, they're not talking about the 796 00:43:06,680 --> 00:43:10,560 Speaker 4: big Jack Smith bomb that was dropped. You know, they're avoided. 797 00:43:10,640 --> 00:43:13,440 Speaker 4: So of course, you know we we will address this now, 798 00:43:15,000 --> 00:43:16,759 Speaker 4: you know, I guess the first way to do it. 799 00:43:16,800 --> 00:43:19,239 Speaker 4: And just to be clear that the Democrat media thinks 800 00:43:19,239 --> 00:43:20,960 Speaker 4: it's the most important thing in the whole country, right, 801 00:43:20,960 --> 00:43:23,200 Speaker 4: I mean, they're far more important. Clay and I were 802 00:43:23,200 --> 00:43:26,160 Speaker 4: reading the headlines New York Times, Washington Post much more 803 00:43:26,200 --> 00:43:29,360 Speaker 4: concerned with Jack Smith's latest thing than what's going on 804 00:43:29,800 --> 00:43:34,800 Speaker 4: in the you know, Carolinas and the area is impacted 805 00:43:34,800 --> 00:43:37,239 Speaker 4: by the hurricane. But okay, so they're saying this, we 806 00:43:37,280 --> 00:43:40,439 Speaker 4: have an election coming up, talk to us. Anything new 807 00:43:40,480 --> 00:43:43,080 Speaker 4: in this and what what's why is this supposed to 808 00:43:43,120 --> 00:43:43,720 Speaker 4: be in October? 809 00:43:43,719 --> 00:43:51,680 Speaker 9: Surprise because there isn't a lot new in here. A 810 00:43:51,680 --> 00:43:55,279 Speaker 9: lot of this has been sort of regurgitated from I 811 00:43:55,360 --> 00:43:57,080 Speaker 9: want to make sure my mic is on okay, good, 812 00:43:57,719 --> 00:44:01,520 Speaker 9: regurgitated from both the House impeachment against Donald Trump for 813 00:44:01,640 --> 00:44:05,040 Speaker 9: J six and of course the J six House Committee report. 814 00:44:05,640 --> 00:44:08,880 Speaker 9: But what this does, and how I have described it 815 00:44:08,920 --> 00:44:12,720 Speaker 9: is Jack Smith's opening arguments for a case that will 816 00:44:12,760 --> 00:44:17,319 Speaker 9: never make it to trial. This week watered down and 817 00:44:17,400 --> 00:44:22,040 Speaker 9: in some instances still unlawful for account indictment that Jack 818 00:44:22,040 --> 00:44:26,160 Speaker 9: Smith has against Donald Trump will never survive a Supreme 819 00:44:26,200 --> 00:44:30,480 Speaker 9: Court test again, both for immunity and the Fisher decision, 820 00:44:30,719 --> 00:44:33,520 Speaker 9: which is we've talked about fifteen twelve C. Two the 821 00:44:33,560 --> 00:44:37,280 Speaker 9: Supreme Court overturning how the DOJ has applied that post 822 00:44:37,280 --> 00:44:40,560 Speaker 9: and run statute. It represents two of the four counts 823 00:44:40,560 --> 00:44:43,640 Speaker 9: in this indictment. This is never going to trial, even 824 00:44:43,680 --> 00:44:47,440 Speaker 9: if Donald Trump loses. So this is his opening argument. 825 00:44:47,960 --> 00:44:52,480 Speaker 9: Jack Smith is a partisan political hack, a former Obama, 826 00:44:52,760 --> 00:44:57,239 Speaker 9: a DOJ official, who also has been overturned by the 827 00:44:57,280 --> 00:45:01,720 Speaker 9: Supreme Court nine to nothing and the Robert mc donald conviction, 828 00:45:02,840 --> 00:45:06,200 Speaker 9: and he's he's got a record of losing. So this 829 00:45:06,280 --> 00:45:10,800 Speaker 9: is his only opportunity to not just salvage this j 830 00:45:11,040 --> 00:45:15,400 Speaker 9: sixth case in the public square, but also try to 831 00:45:15,480 --> 00:45:20,839 Speaker 9: salvage the remaining shards of his decaying reputation. So that 832 00:45:20,920 --> 00:45:23,000 Speaker 9: is what we're seeing from what I call this dirty 833 00:45:23,040 --> 00:45:26,000 Speaker 9: dotsia with the Steele dossier in twenty sixteen. Now we've 834 00:45:26,000 --> 00:45:30,640 Speaker 9: got Jack Smith dossier. But to your point, the media 835 00:45:30,840 --> 00:45:34,160 Speaker 9: has they are acting like it was Christmas Day yesterday. 836 00:45:34,560 --> 00:45:37,400 Speaker 9: Jake Tapper's on CNN, He's waving the one hundred and sixty 837 00:45:37,400 --> 00:45:40,000 Speaker 9: five pages around. You've got the analysts there and the 838 00:45:40,120 --> 00:45:43,919 Speaker 9: commentators talking about how this will be a fatal blow 839 00:45:43,960 --> 00:45:47,640 Speaker 9: to Donald Trump's candidacy, that he will not win reelection 840 00:45:47,760 --> 00:45:51,120 Speaker 9: because of this issue. But again, it also gives cover 841 00:45:51,280 --> 00:45:54,319 Speaker 9: for the real scandals and the real crises, which is 842 00:45:54,360 --> 00:45:58,320 Speaker 9: of course the devastation, the apocalyptic images that are coming 843 00:45:58,360 --> 00:46:02,680 Speaker 9: out of North Carolina, and also the other crises that 844 00:46:02,719 --> 00:46:04,759 Speaker 9: we have, you know, war in the Middle East on 845 00:46:04,800 --> 00:46:07,920 Speaker 9: a few different fronts, and open southern border with criminal 846 00:46:07,960 --> 00:46:11,239 Speaker 9: migrants coming across into our country. So this is a 847 00:46:11,280 --> 00:46:14,120 Speaker 9: perfect cover for the media, the Democrats and the Harris 848 00:46:14,120 --> 00:46:18,040 Speaker 9: Walls ticket to pivot away from the real issues to 849 00:46:18,239 --> 00:46:22,279 Speaker 9: again this four hour disturbance almost now four years ago. 850 00:46:23,200 --> 00:46:26,040 Speaker 3: You know, I love this, Julie, because I was out 851 00:46:26,080 --> 00:46:29,400 Speaker 3: watching eighth grade football last night. My phone blows up 852 00:46:29,440 --> 00:46:31,719 Speaker 3: with Oh my goodness, can you I thought, Oh, what's 853 00:46:31,760 --> 00:46:33,680 Speaker 3: going on here? I go look, and I'm like, this 854 00:46:33,760 --> 00:46:36,319 Speaker 3: story is not going to last twenty four hours. And 855 00:46:36,400 --> 00:46:40,160 Speaker 3: it's interesting. This story came out and Donald Trump today 856 00:46:40,880 --> 00:46:43,640 Speaker 3: actually in the betting markets, which I like to follow, 857 00:46:43,800 --> 00:46:47,440 Speaker 3: took the lead over Kamala. Harris so Buck and I 858 00:46:47,440 --> 00:46:49,839 Speaker 3: have been talking about New York Times, Washington Post. It's 859 00:46:49,880 --> 00:46:52,600 Speaker 3: their top four or five stories. Meanwhile, people are dying 860 00:46:52,640 --> 00:46:56,680 Speaker 3: in North Carolina, Tennessee, Georgia, South Carolina with the storm 861 00:46:56,719 --> 00:46:59,040 Speaker 3: that came through that Biden and Kamala can't seem to 862 00:46:59,080 --> 00:47:02,840 Speaker 3: respond to. But it landed, to use a phrase from 863 00:47:03,040 --> 00:47:07,120 Speaker 3: the Obama administration, really like a nothing burger. And then 864 00:47:07,160 --> 00:47:09,680 Speaker 3: they're going to desperately try to make it happen, and 865 00:47:09,680 --> 00:47:11,160 Speaker 3: then I'll tell you what's going to happen. 866 00:47:11,040 --> 00:47:13,319 Speaker 2: In twenty four hours. Even the ardent. 867 00:47:13,120 --> 00:47:15,319 Speaker 3: Left is not going to be fueling the clicks and 868 00:47:15,360 --> 00:47:18,080 Speaker 3: the ratings that they need, and it's going to be over. 869 00:47:18,680 --> 00:47:19,920 Speaker 2: And I can only imagine. 870 00:47:19,920 --> 00:47:21,680 Speaker 3: I think the last time we had you on Julie, 871 00:47:21,760 --> 00:47:23,680 Speaker 3: I was saying, I want a Jack Smith cam for 872 00:47:23,719 --> 00:47:27,800 Speaker 3: election night if Trump wins. This guy has spent years 873 00:47:27,840 --> 00:47:30,920 Speaker 3: of his life now trying to get Trump, and Trump 874 00:47:30,960 --> 00:47:32,960 Speaker 3: is actually gonna end up president of the United States. All 875 00:47:32,960 --> 00:47:34,520 Speaker 3: of his work is going to go up in smoke 876 00:47:34,719 --> 00:47:36,480 Speaker 3: and he's basically his career's over. 877 00:47:39,280 --> 00:47:41,600 Speaker 9: Yes, let's hope his career is over, and let's hope 878 00:47:41,600 --> 00:47:45,840 Speaker 9: that there is accountability because what this document Clay represents, 879 00:47:46,000 --> 00:47:50,560 Speaker 9: what he filed yesterday is the most brazen, egregious example 880 00:47:51,000 --> 00:47:55,560 Speaker 9: of DOJ interference, not just interference in a presidential campaign, 881 00:47:55,920 --> 00:47:59,640 Speaker 9: our presidential race, but doing using the full weight of 882 00:47:59,680 --> 00:48:03,520 Speaker 9: the Heartment of Justice, the most powerful law enforcement agency 883 00:48:03,640 --> 00:48:08,640 Speaker 9: in the country, to destroy Donald Trump's chances at winning. Now, 884 00:48:08,680 --> 00:48:10,719 Speaker 9: to your point, I don't think it is I think 885 00:48:10,719 --> 00:48:13,920 Speaker 9: that this will sort of fade away, except at CNN, 886 00:48:13,960 --> 00:48:16,920 Speaker 9: at MSNBC, in the Washington Post, in New York Times. 887 00:48:17,840 --> 00:48:20,959 Speaker 9: But look what you've got today, Kamala Harris with Liz 888 00:48:21,080 --> 00:48:25,279 Speaker 9: Cheney at an event in Wisconsin. What are they going 889 00:48:25,320 --> 00:48:27,920 Speaker 9: to talk about? Not the issues that people of Wisconsin 890 00:48:28,000 --> 00:48:30,920 Speaker 9: care about. They're going to talk about this fake threat 891 00:48:31,200 --> 00:48:34,920 Speaker 9: that Donald Trump poses to democracy, whatever that means, how 892 00:48:34,920 --> 00:48:38,279 Speaker 9: we almost ended our country, as Joe Biden calls it, 893 00:48:38,280 --> 00:48:41,480 Speaker 9: we almost lost everything, Joe Biden says about January sixth, 894 00:48:42,400 --> 00:48:44,959 Speaker 9: and that is what they will be talking about. That's 895 00:48:45,040 --> 00:48:49,279 Speaker 9: all they've got. And so, but there's going to be 896 00:48:49,320 --> 00:48:51,839 Speaker 9: more to come. This is only the first hit out 897 00:48:51,880 --> 00:48:55,200 Speaker 9: of this motion. There also will be an appendix that 898 00:48:55,280 --> 00:48:58,160 Speaker 9: will be unsealed in the next probably week or so 899 00:48:58,840 --> 00:49:02,640 Speaker 9: that will give more our witness testimony disclosing grand jury 900 00:49:02,680 --> 00:49:05,400 Speaker 9: testimony FBI three to O two. So they're going to 901 00:49:05,480 --> 00:49:09,280 Speaker 9: keep piling on. Judge Chuckkin is going to allow Jacksmith 902 00:49:09,360 --> 00:49:13,120 Speaker 9: to do this and really denying Donald Trump his due 903 00:49:13,160 --> 00:49:16,680 Speaker 9: process rights. While this is an opening argument on paper, 904 00:49:17,480 --> 00:49:20,640 Speaker 9: if it was at trial, Donald Trump would be allowed 905 00:49:20,680 --> 00:49:24,360 Speaker 9: immediately to respond, cross examine witness, et cetera. None of 906 00:49:24,400 --> 00:49:27,719 Speaker 9: that is happening now. It is not just election interference 907 00:49:27,800 --> 00:49:34,040 Speaker 9: another DOJ, just disparagement of the law of due process, 908 00:49:34,200 --> 00:49:38,359 Speaker 9: the rule of law, and denial of constitutional protections that 909 00:49:38,400 --> 00:49:40,160 Speaker 9: we all have, including Donald Trump. 910 00:49:41,120 --> 00:49:44,319 Speaker 4: Speaking of Julie Kelly declassified as her substack where she 911 00:49:44,320 --> 00:49:48,319 Speaker 4: does a lot of great work on this issue, Julie. 912 00:49:48,400 --> 00:49:52,000 Speaker 4: If Trump wins, I think we all know that this 913 00:49:52,440 --> 00:49:57,280 Speaker 4: goes away as it should if for some reason Heaven forbid, 914 00:49:57,320 --> 00:50:00,719 Speaker 4: but it could happen Kamala Harris becomes president. What do 915 00:50:00,800 --> 00:50:04,040 Speaker 4: you see as the future of the Jack Smith prosecution 916 00:50:04,239 --> 00:50:07,200 Speaker 4: based on what we now know the Supreme Court weighing 917 00:50:07,239 --> 00:50:11,920 Speaker 4: in Jack Smith's dirty dossier. Is it really just about 918 00:50:11,920 --> 00:50:16,160 Speaker 4: the election and the politics and the election interference or 919 00:50:16,320 --> 00:50:17,920 Speaker 4: do you really think that Jack Smith is going to 920 00:50:17,920 --> 00:50:20,040 Speaker 4: try to lock Donald Trump up if he loses. 921 00:50:22,320 --> 00:50:24,759 Speaker 9: I think he will still try. I know we've been 922 00:50:24,800 --> 00:50:27,520 Speaker 9: talking about this for a few years since Jack Smith 923 00:50:27,600 --> 00:50:32,080 Speaker 9: was appointed now November of twenty twenty two. So if 924 00:50:32,120 --> 00:50:36,600 Speaker 9: Donald Trump loses, yes, they will continue the January sixth case. 925 00:50:36,719 --> 00:50:40,040 Speaker 9: It will never survive, as I said, the Supreme Court 926 00:50:40,200 --> 00:50:42,239 Speaker 9: where it will end up again because it will be 927 00:50:42,280 --> 00:50:47,160 Speaker 9: another immunity question. Will never survive and appeal on immunity 928 00:50:47,200 --> 00:50:50,960 Speaker 9: protections and the fissure ruling. So this indictment, now he 929 00:50:51,000 --> 00:50:54,160 Speaker 9: could bring superseding indictments, especially based on you know, some 930 00:50:54,320 --> 00:50:57,359 Speaker 9: day that Donald Trump maybe did after this election. They're 931 00:50:57,400 --> 00:51:00,759 Speaker 9: going to keep piling on. I'll take this even a 932 00:51:00,800 --> 00:51:04,600 Speaker 9: step further. If Donald Trump wins, you can guarantee that 933 00:51:04,680 --> 00:51:08,879 Speaker 9: Tanya Chuckkin will still hold some sort of hearing on 934 00:51:08,960 --> 00:51:13,239 Speaker 9: this case in November or December, before Donald Trump is 935 00:51:13,239 --> 00:51:17,319 Speaker 9: sworn into office, some sort of hearing to keep this 936 00:51:17,600 --> 00:51:21,600 Speaker 9: matter alive until the very last minute, force Donald Trump 937 00:51:21,640 --> 00:51:25,320 Speaker 9: and his lawyers back in her courtroom over this motion 938 00:51:25,960 --> 00:51:29,040 Speaker 9: or a few other motions that were still expecting. So 939 00:51:29,239 --> 00:51:32,160 Speaker 9: they are they're going to wait till the very last 940 00:51:32,200 --> 00:51:36,560 Speaker 9: minute if Donald Trump wins, to keep this hanging over 941 00:51:36,680 --> 00:51:40,200 Speaker 9: his head as this cloud that we saw the same 942 00:51:40,200 --> 00:51:43,560 Speaker 9: thing in twenty sixteen with the made up Trump Russia 943 00:51:43,640 --> 00:51:47,360 Speaker 9: election collusion hopes. Also, we still have what's happening in 944 00:51:47,360 --> 00:51:50,680 Speaker 9: Florida judging name Cannon in July dismissing that indictment based 945 00:51:50,719 --> 00:51:54,279 Speaker 9: on her findings that Jack Smith was unconstitutionally appointed. That 946 00:51:54,440 --> 00:51:58,360 Speaker 9: also will get to the Supreme Court if Donald Trump loses, 947 00:51:58,600 --> 00:52:00,880 Speaker 9: it still will make its way to the Supreme Court, 948 00:52:01,360 --> 00:52:04,000 Speaker 9: and I'm pretty sure, based on comments that we saw 949 00:52:04,080 --> 00:52:07,600 Speaker 9: from Justice Clarence Thomas and others, that the Supreme Court 950 00:52:07,640 --> 00:52:12,239 Speaker 9: would eventually conclude that he his appointment violated the appointment's 951 00:52:12,280 --> 00:52:15,279 Speaker 9: clause of the Constitution. So there's still a lot more, 952 00:52:16,480 --> 00:52:19,480 Speaker 9: you know, grist that Jack Smith can squeeze out of 953 00:52:19,480 --> 00:52:23,640 Speaker 9: this Donald Trump winning or losing. But they are not 954 00:52:23,680 --> 00:52:26,000 Speaker 9: going to give this up anytime soon, and will not 955 00:52:26,040 --> 00:52:28,600 Speaker 9: give it up easily regardless of the outcome of the election. 956 00:52:29,360 --> 00:52:32,160 Speaker 3: Julie, do you get the sense that much of this 957 00:52:32,320 --> 00:52:35,759 Speaker 3: law fair blew up in their face? They thought that 958 00:52:35,880 --> 00:52:38,319 Speaker 3: My calculus on this, and I think Buck would sign off, 959 00:52:38,480 --> 00:52:41,200 Speaker 3: is that they thought, oh, this will strengthen Trump with 960 00:52:41,400 --> 00:52:46,000 Speaker 3: right wing voters, but it's going to be ultimately damning 961 00:52:46,040 --> 00:52:49,719 Speaker 3: for him in the general election. Instead, it seems to 962 00:52:49,840 --> 00:52:53,480 Speaker 3: have basically strengthened Trump across the board. And that's why 963 00:52:53,520 --> 00:52:56,400 Speaker 3: I'm a little bit surprised. This feels like such a hell, Mary, 964 00:52:57,000 --> 00:53:00,279 Speaker 3: And if anything, if you asked me to analy the 965 00:53:00,280 --> 00:53:03,279 Speaker 3: politics of this, not the law, just the politics, because 966 00:53:03,320 --> 00:53:05,279 Speaker 3: I think the law, as I've said, for some time 967 00:53:05,360 --> 00:53:07,560 Speaker 3: with you and on this show is total. 968 00:53:07,480 --> 00:53:08,840 Speaker 2: Bunk, right, It's just crap. 969 00:53:09,880 --> 00:53:13,360 Speaker 3: But I think it actually works to Trump's favor that 970 00:53:13,440 --> 00:53:16,360 Speaker 3: they try to dredge this back up once October comes up, 971 00:53:16,400 --> 00:53:19,479 Speaker 3: because it shows that ultimately this isn't really anything other 972 00:53:19,600 --> 00:53:22,280 Speaker 3: than a political move which benefits Trump. 973 00:53:24,920 --> 00:53:28,399 Speaker 9: Right. I definitely agree that the law fare, whether it's 974 00:53:28,480 --> 00:53:31,560 Speaker 9: from Jack Smith, whether it's in Georgia, from Fanny Willis, 975 00:53:32,160 --> 00:53:34,680 Speaker 9: whether it's what's happening in New York in those cases, 976 00:53:34,760 --> 00:53:38,279 Speaker 9: has completely backfired, blew up in the face of the 977 00:53:38,320 --> 00:53:42,480 Speaker 9: Democratic Party. I mean, look, you had Joe Biden bullied 978 00:53:42,520 --> 00:53:45,359 Speaker 9: out of this race because Donald Trump was going to 979 00:53:45,440 --> 00:53:50,080 Speaker 9: beat him despite what Joe Biden and his White House 980 00:53:50,120 --> 00:53:53,480 Speaker 9: and his agencies and his General counsel we know in 981 00:53:53,520 --> 00:53:57,399 Speaker 9: cahoots trying to concoct the classified Documents scheme. They had 982 00:53:57,600 --> 00:54:00,920 Speaker 9: all the levers of power, right, and they sent DOJ 983 00:54:01,080 --> 00:54:04,040 Speaker 9: prosecutors to Georgia, and they were working with the team 984 00:54:04,080 --> 00:54:07,360 Speaker 9: in New York, and so all of this flew up 985 00:54:07,400 --> 00:54:09,000 Speaker 9: to the extent that Joe Biden had to pull out 986 00:54:09,040 --> 00:54:11,279 Speaker 9: of the race because Trump was so was going to 987 00:54:11,280 --> 00:54:13,719 Speaker 9: beat him so badly. So you would think that they 988 00:54:13,760 --> 00:54:17,319 Speaker 9: would learn their lesson, but they really have not. And 989 00:54:17,480 --> 00:54:24,000 Speaker 9: again this is cover for the failed Biden Kamala Harris administration. 990 00:54:24,560 --> 00:54:27,279 Speaker 9: These crises blowing up, not just in the country but 991 00:54:27,480 --> 00:54:30,399 Speaker 9: around the world, and this is all they can hang 992 00:54:30,440 --> 00:54:33,800 Speaker 9: their hat on is JA six. So Jack Smith swoops 993 00:54:33,840 --> 00:54:37,279 Speaker 9: in once again, gives them an assist, gives them this 994 00:54:37,400 --> 00:54:40,880 Speaker 9: dirty dossier, and gives them more talking points to avoid 995 00:54:40,960 --> 00:54:43,880 Speaker 9: discussing the real issues that Americans care about. 996 00:54:44,719 --> 00:54:47,759 Speaker 4: Julie Kelly check out Declassified on substack. Julie, thanks for 997 00:54:47,760 --> 00:54:48,239 Speaker 4: being here. 998 00:54:49,640 --> 00:54:50,160 Speaker 9: Thanks guys,