1 00:00:03,200 --> 00:00:11,039 Speaker 1: It's that time, time, time, time, luck and load. Michael 2 00:00:11,200 --> 00:00:13,080 Speaker 1: Verishow is on the air. 3 00:00:14,840 --> 00:00:17,320 Speaker 2: The US is the first time in. 4 00:00:17,320 --> 00:00:19,880 Speaker 1: The history of the world where. 5 00:00:19,680 --> 00:00:22,919 Speaker 2: A government was organized with a constitution laying out the 6 00:00:23,000 --> 00:00:27,920 Speaker 2: rules that the individual was supreme and dominant. And that 7 00:00:28,160 --> 00:00:31,440 Speaker 2: is what led to the US becoming the greatest country 8 00:00:31,480 --> 00:00:33,919 Speaker 2: ever because it unleashed people to be the best they 9 00:00:33,920 --> 00:00:35,879 Speaker 2: could be, unlike it had ever happened. 10 00:00:36,080 --> 00:00:37,600 Speaker 1: That's American exceptionalism. 11 00:00:37,800 --> 00:00:41,600 Speaker 3: Our resolve is unbroken and our purpose is unchanged to 12 00:00:41,680 --> 00:00:46,280 Speaker 3: delivery government that serves the American people better than ever before. 13 00:00:46,520 --> 00:00:48,680 Speaker 1: To win with every single facet. 14 00:00:48,840 --> 00:00:51,280 Speaker 3: We're going to win so much you may even get 15 00:00:51,360 --> 00:00:55,320 Speaker 3: tired of winning. And you say, please, please, it's too 16 00:00:55,480 --> 00:00:56,160 Speaker 3: much winning. 17 00:00:56,400 --> 00:00:57,360 Speaker 1: We can't take. 18 00:00:57,200 --> 00:01:01,080 Speaker 3: It anymore, mister President, it's too much, and I'll say no, 19 00:01:01,240 --> 00:01:01,680 Speaker 3: it isn't. 20 00:01:01,960 --> 00:01:04,559 Speaker 1: We have to keep winning. We have to win more. 21 00:01:04,920 --> 00:01:06,000 Speaker 1: We're gonna win more. 22 00:01:06,360 --> 00:01:08,160 Speaker 3: We're gonna win so nice it never. 23 00:01:18,080 --> 00:01:21,039 Speaker 4: Again. 24 00:01:22,560 --> 00:01:26,000 Speaker 5: It is a tall, crowd city built on rocks stronger 25 00:01:26,040 --> 00:01:28,080 Speaker 5: than oceans, wind swept. 26 00:01:28,040 --> 00:01:30,640 Speaker 1: God blessed and teeming with people. 27 00:01:30,400 --> 00:01:34,120 Speaker 5: Of all kinds, living in harmony and peace. A city 28 00:01:34,120 --> 00:01:38,680 Speaker 5: with ports that hunged with commerce and creativity, and if 29 00:01:38,680 --> 00:01:41,759 Speaker 5: there had to be city walls, the walls had doors, 30 00:01:42,040 --> 00:01:45,000 Speaker 5: and the doors were open to anyone with the wills 31 00:01:45,040 --> 00:01:46,000 Speaker 5: and the heart to get it. 32 00:01:46,800 --> 00:01:49,320 Speaker 1: That's how I saw it and see it still. 33 00:01:49,640 --> 00:01:53,440 Speaker 3: And we will restore and renovate our nations once great cities, 34 00:01:53,520 --> 00:01:57,280 Speaker 3: making them safe, clean, and beautiful again, and that includes 35 00:01:57,520 --> 00:01:58,680 Speaker 3: our nation's capital. 36 00:02:04,560 --> 00:02:12,320 Speaker 1: Together the Hill, we will die on deportation. Democrats are 37 00:02:12,520 --> 00:02:17,320 Speaker 1: locking arms in defiance over Trump's plan for mass deportation. 38 00:02:18,639 --> 00:02:23,000 Speaker 1: That's the mandate, folks, There's no question. Every poll reflects it. 39 00:02:24,000 --> 00:02:27,840 Speaker 1: But they are going to extract an emotional toll because 40 00:02:27,880 --> 00:02:33,839 Speaker 1: they don't think we're committed Democrats. Strategist Julie Razinski Raginsky 41 00:02:34,280 --> 00:02:37,600 Speaker 1: not that it matters, was on CNN when she said 42 00:02:37,680 --> 00:02:41,720 Speaker 1: she would physically stop the military from deporting illegals. 43 00:02:41,760 --> 00:02:44,760 Speaker 4: I'd like to watch that promise you with every fiber 44 00:02:44,800 --> 00:02:46,440 Speaker 4: of my being, because I'll probably be one of those 45 00:02:46,440 --> 00:02:49,200 Speaker 4: people that if anybody comes to these people and tries 46 00:02:49,240 --> 00:02:52,200 Speaker 4: to drag them out by force, there will be protests 47 00:02:52,280 --> 00:02:54,600 Speaker 4: of people like me, American citizens who are going to 48 00:02:54,639 --> 00:02:57,440 Speaker 4: stand there and do everything possible to prevent these women 49 00:02:57,440 --> 00:03:00,560 Speaker 4: and children, which is all who these people are about. 50 00:03:03,200 --> 00:03:03,239 Speaker 6: You. 51 00:03:07,000 --> 00:03:07,440 Speaker 7: I'm sorry. 52 00:03:07,440 --> 00:03:09,040 Speaker 4: I live next to these people. I can tell you 53 00:03:09,120 --> 00:03:11,440 Speaker 4: there are women and their children. Are there terrorists among them? 54 00:03:11,480 --> 00:03:13,640 Speaker 4: I don't know, but I can tell you that. But 55 00:03:13,639 --> 00:03:16,079 Speaker 4: I can tell you let me Okay, But what I'm 56 00:03:16,120 --> 00:03:18,839 Speaker 4: telling you right now, practically speaking, is that there will 57 00:03:18,880 --> 00:03:22,000 Speaker 4: be people American citizens who will prevent these little kids 58 00:03:22,240 --> 00:03:25,760 Speaker 4: from being dragged out of these shelters. There are And 59 00:03:25,840 --> 00:03:27,880 Speaker 4: what's going to happen to these people? What is going 60 00:03:27,880 --> 00:03:30,040 Speaker 4: to happen to the military when the military opens fire 61 00:03:30,480 --> 00:03:31,639 Speaker 4: on us. 62 00:03:33,240 --> 00:03:36,120 Speaker 1: We're laying down a rabbit hole there. I suggest you 63 00:03:36,240 --> 00:03:40,040 Speaker 1: not be in the middle of obstructing an officer of 64 00:03:40,080 --> 00:03:46,520 Speaker 1: the law from doing their job. That's what I suggest. Oh, Michael, 65 00:03:46,520 --> 00:03:49,400 Speaker 1: that's just one crazy gal on television talking tough. By 66 00:03:49,440 --> 00:03:51,880 Speaker 1: the way, she'd be the last one to be stopping anybody. 67 00:03:52,440 --> 00:03:57,120 Speaker 1: No actual Democrats talking about not cooperating with Ice, right yep. 68 00:03:58,000 --> 00:04:01,400 Speaker 1: First up Exhibit A, the Mayor of Boston, Michelle Wu. 69 00:04:02,080 --> 00:04:05,400 Speaker 4: What will Boston's response be if these mass deportations take place? 70 00:04:05,760 --> 00:04:09,000 Speaker 8: Yeah, Look, elections have consequences, and the federal government is 71 00:04:09,040 --> 00:04:13,200 Speaker 8: responsible for a certain set of actions and cities. No 72 00:04:13,400 --> 00:04:17,080 Speaker 8: individual city can reverse or override some parts of that. 73 00:04:17,400 --> 00:04:19,280 Speaker 8: But what we can do is make sure that we 74 00:04:19,400 --> 00:04:22,320 Speaker 8: are doing our part to protect our residents in every 75 00:04:22,360 --> 00:04:25,920 Speaker 8: possible way, that we are not cooperating with those efforts 76 00:04:25,960 --> 00:04:29,520 Speaker 8: that actually threaten the safety of everyone by causing widespread 77 00:04:29,520 --> 00:04:32,760 Speaker 8: fear and having large scale economic impact. 78 00:04:33,920 --> 00:04:38,400 Speaker 1: Arizona's governor, Democrat Katie Hobbs, says the same thing as 79 00:04:38,440 --> 00:04:39,239 Speaker 1: Michelle wou. 80 00:04:40,120 --> 00:04:44,400 Speaker 7: Hearing about the Trump administration's plans for border security, The 81 00:04:44,440 --> 00:04:48,280 Speaker 7: emphasis really is on this mass deportation. What we saw 82 00:04:48,320 --> 00:04:52,040 Speaker 7: here today is the actual work happening at our parts 83 00:04:52,040 --> 00:04:56,080 Speaker 7: of entry that are interdicting drugs, keeping those drugs off 84 00:04:56,080 --> 00:05:00,440 Speaker 7: our streets, and we need more of that to to 85 00:05:00,480 --> 00:05:01,640 Speaker 7: secure the border here. 86 00:05:02,720 --> 00:05:05,159 Speaker 9: As you know, Trump has promised that he would carry 87 00:05:05,160 --> 00:05:07,960 Speaker 9: out mass deportations on day one of his presidency. 88 00:05:08,040 --> 00:05:08,760 Speaker 1: Your state is. 89 00:05:08,800 --> 00:05:12,600 Speaker 9: Estimated to have a quarter of a million undocumented immigrants. 90 00:05:12,600 --> 00:05:17,039 Speaker 9: Some Democrats in your state, like Phoenix mayor Diego, say 91 00:05:17,040 --> 00:05:19,559 Speaker 9: that she wouldn't allow police to be used to carry 92 00:05:19,640 --> 00:05:23,640 Speaker 9: out this plan. Would you, as governor allow state police 93 00:05:23,680 --> 00:05:26,600 Speaker 9: and National Guard to carry out mass deportations. 94 00:05:28,520 --> 00:05:32,599 Speaker 7: We will not be participating in misguided efforts that harm 95 00:05:32,640 --> 00:05:35,919 Speaker 7: our communities, and I've been incredibly clear about that. 96 00:05:37,320 --> 00:05:39,120 Speaker 1: So you disagree with. 97 00:05:39,200 --> 00:05:43,080 Speaker 9: Mass deportations and the fact that the President elects says 98 00:05:43,240 --> 00:05:45,640 Speaker 9: that's what he's going to be working on day one. 99 00:05:46,240 --> 00:05:50,839 Speaker 7: Well, I think that those efforts are going to divert 100 00:05:51,800 --> 00:05:55,720 Speaker 7: needed resources that we need here on these drug interdiction 101 00:05:56,040 --> 00:05:59,440 Speaker 7: and smuggling and trafficking efforts to keep harm out of 102 00:05:59,440 --> 00:06:04,680 Speaker 7: our community. We need those resources here and the the 103 00:06:05,640 --> 00:06:09,120 Speaker 7: coming here today. I've seen this operation firsthand. Just understores 104 00:06:09,160 --> 00:06:12,040 Speaker 7: that that that working in partnership here is how we 105 00:06:12,080 --> 00:06:13,320 Speaker 7: can secure the border. 106 00:06:14,440 --> 00:06:19,440 Speaker 9: What would worry you the most, Governor about mass deportations, Well. 107 00:06:19,279 --> 00:06:24,760 Speaker 7: I think the diversion of law enforcements from their their 108 00:06:25,279 --> 00:06:27,960 Speaker 7: the the work that they do every day to keep 109 00:06:27,960 --> 00:06:33,520 Speaker 7: our community safe. People hiding in fear. We saw that 110 00:06:34,600 --> 00:06:36,280 Speaker 7: under previous Just. 111 00:06:36,240 --> 00:06:41,800 Speaker 1: Say it out loud. We brought these people here as slaves, 112 00:06:42,720 --> 00:06:46,719 Speaker 1: as slaves were once bought brought here. We've brought these 113 00:06:46,839 --> 00:06:51,080 Speaker 1: people here to keep them poor and voting for Democrats. 114 00:06:51,920 --> 00:06:55,200 Speaker 1: We've scared them to death of the Republicans. We've given 115 00:06:55,200 --> 00:06:59,000 Speaker 1: them every governmental benefit we can to keep them voting 116 00:06:59,040 --> 00:07:02,200 Speaker 1: Democrats so that we can stay in power. Just call 117 00:07:02,240 --> 00:07:07,840 Speaker 1: it what it is. Tom Holman, the man for the job, 118 00:07:08,640 --> 00:07:12,960 Speaker 1: was on Newsmax when he was asked about Boston's mayor 119 00:07:13,040 --> 00:07:15,920 Speaker 1: Michelle Woo's comments. He made the point, and he's right, 120 00:07:16,800 --> 00:07:17,880 Speaker 1: she's not very smart. 121 00:07:18,640 --> 00:07:22,320 Speaker 10: Depending our residence every possible way, but she's not very smart. 122 00:07:22,360 --> 00:07:24,640 Speaker 10: I'll give her that because I just what I just 123 00:07:24,680 --> 00:07:27,960 Speaker 10: said is because the Trump's going to prioritize public safety threats. 124 00:07:28,200 --> 00:07:32,120 Speaker 10: What mayor or governor doesn't want public safety threats out 125 00:07:32,120 --> 00:07:34,480 Speaker 10: of the communities. Man, that's a number one responsibilities to 126 00:07:34,480 --> 00:07:36,640 Speaker 10: protect your communities, and that's exactly what we're. 127 00:07:36,480 --> 00:07:36,840 Speaker 1: Going to do. 128 00:07:37,200 --> 00:07:38,880 Speaker 10: So she helps us, she gets the hell out of 129 00:07:38,880 --> 00:07:40,880 Speaker 10: the way because they're going to do it. And look, 130 00:07:41,080 --> 00:07:43,000 Speaker 10: there's a clear line here, and they can't cross the 131 00:07:43,040 --> 00:07:45,920 Speaker 10: clear line. I'll suggest she read titled eight United States 132 00:07:45,920 --> 00:07:49,800 Speaker 10: Cold thirteen twenty four Trupply that says, you know, you 133 00:07:49,880 --> 00:07:52,600 Speaker 10: can't harbor, conceal any way in from front law enforce now, 134 00:07:52,760 --> 00:07:53,720 Speaker 10: so I hope. 135 00:07:53,480 --> 00:07:54,640 Speaker 1: She don't cross that line. 136 00:07:54,760 --> 00:07:58,040 Speaker 10: They cannot cooperate, but there are certain laws in place 137 00:07:58,080 --> 00:08:00,080 Speaker 10: that they can't cross, and I hope she doesn't cross it. 138 00:08:01,200 --> 00:08:04,240 Speaker 1: I do too, But this is just like them cheating 139 00:08:04,280 --> 00:08:07,240 Speaker 1: on the election. They cheated in Harris County, cheated in Pennsylvania. 140 00:08:07,320 --> 00:08:09,360 Speaker 1: At some point they're challenging you. It's like the people 141 00:08:09,360 --> 00:08:11,280 Speaker 1: that go into Walgrange and steal the whole story. At 142 00:08:11,280 --> 00:08:16,080 Speaker 1: some point you're gonna have to confront. Did you maybe 143 00:08:16,520 --> 00:08:19,040 Speaker 1: autimbly laugh when I tell a joke like that so 144 00:08:19,120 --> 00:08:21,640 Speaker 1: I know you thought it was funny? Michael Berry? 145 00:08:22,160 --> 00:08:23,840 Speaker 5: Oh no, I won't do that. 146 00:08:23,960 --> 00:08:26,520 Speaker 1: It's too much for a moment. She won't go that time. 147 00:08:26,760 --> 00:08:30,640 Speaker 1: That was so funny. It's under the deadline from the 148 00:08:30,640 --> 00:08:36,080 Speaker 1: Wall Street Journal. Why Tesla supports eliminating the electric vehicle 149 00:08:36,240 --> 00:08:41,360 Speaker 1: tax credit. That's right. Elon Musk supports eliminating the seventy 150 00:08:41,360 --> 00:08:45,120 Speaker 1: five hundred dollars EV tax credit. Man of have known 151 00:08:45,160 --> 00:08:49,680 Speaker 1: that once President Elect Trump takes office in January, his 152 00:08:49,800 --> 00:08:53,120 Speaker 1: administration will move quickly to end the tax credit of 153 00:08:53,200 --> 00:08:55,400 Speaker 1: up to seventy five hundred dollars that made it cheaper 154 00:08:55,480 --> 00:08:59,800 Speaker 1: for Americans to buy electric vehicles, according to several media reports, 155 00:09:00,280 --> 00:09:05,400 Speaker 1: to make electric vehicles less competitive with gas powered cars, 156 00:09:05,920 --> 00:09:09,560 Speaker 1: which is the Trump administration's goal. The removal of the 157 00:09:09,679 --> 00:09:15,840 Speaker 1: incentive quote could derail the trajectory of EV sales in 158 00:09:15,880 --> 00:09:19,360 Speaker 1: the US. The head of insights for Edmunds dot Com, 159 00:09:19,440 --> 00:09:22,000 Speaker 1: Jessica Caldwell, wrote in a note last week, but here's 160 00:09:22,040 --> 00:09:26,640 Speaker 1: the important part. That trajectory was already on a downward 161 00:09:26,760 --> 00:09:30,760 Speaker 1: trend due to the high prices of evs and a 162 00:09:30,880 --> 00:09:37,079 Speaker 1: lack of charging infrastructure nationwide. An auto industry trade group, 163 00:09:37,360 --> 00:09:41,640 Speaker 1: the Alliance for Automotive Innovation, called on Congress prior to 164 00:09:41,679 --> 00:09:46,240 Speaker 1: the election to keep the tax credits around since they 165 00:09:46,280 --> 00:09:50,160 Speaker 1: are quote critical to cementing the US as a global 166 00:09:50,240 --> 00:09:54,800 Speaker 1: leader end quote in auto production. But that trade group 167 00:09:54,840 --> 00:09:58,800 Speaker 1: does not represent Tesla, the biggest EV seller in the 168 00:09:58,920 --> 00:10:03,200 Speaker 1: United States by a long shot. Take it from the CEO, 169 00:10:03,960 --> 00:10:08,080 Speaker 1: Tesla wants them to end. Following the initial Reuter's report 170 00:10:08,440 --> 00:10:12,080 Speaker 1: that Trump would move to eliminate the credits, Musk post 171 00:10:12,120 --> 00:10:16,520 Speaker 1: it on X quote in my view, we should end 172 00:10:16,600 --> 00:10:22,520 Speaker 1: all government subsidies, including for those for EV's oil and gas. 173 00:10:22,920 --> 00:10:26,440 Speaker 1: Why would that be. Tesla has a dominant position over 174 00:10:26,559 --> 00:10:30,160 Speaker 1: EV automakers in the US, and removing the credit would 175 00:10:30,240 --> 00:10:34,599 Speaker 1: further entrench that lead by hammering the competition. In a 176 00:10:34,679 --> 00:10:38,720 Speaker 1: July earnings call, Musk said the credit removal would be 177 00:10:38,840 --> 00:10:43,560 Speaker 1: devastating for Tesla's rivals, but would only hurt Tesla slightly. 178 00:10:44,040 --> 00:10:48,679 Speaker 1: Tesla sells its evs at a sizable profit, while competitors 179 00:10:48,760 --> 00:10:52,360 Speaker 1: like Ford and GM lose money on every EV they sell. 180 00:10:53,080 --> 00:10:58,720 Speaker 1: Making EV production less economical would dent Tesla's margins but 181 00:10:58,800 --> 00:11:02,280 Speaker 1: could force its legacy. The automaker Peers to stop churning 182 00:11:02,360 --> 00:11:06,480 Speaker 1: out EV models entirely, even with the tax credit in place, 183 00:11:07,080 --> 00:11:10,160 Speaker 1: Forward idle production of its f one to fifty Lightning 184 00:11:10,200 --> 00:11:13,600 Speaker 1: electric pickup through the end of the year looking ahead. 185 00:11:13,679 --> 00:11:16,680 Speaker 1: Because the tax credits are included in President Biden's Inflation 186 00:11:16,800 --> 00:11:19,840 Speaker 1: Reduction Act, which was really just a Green New Deal. 187 00:11:20,440 --> 00:11:24,160 Speaker 1: Trump can't remove them without an Act of Congress, but Republicans, 188 00:11:24,840 --> 00:11:28,280 Speaker 1: who will control both chambers next year, can get it 189 00:11:28,320 --> 00:11:32,240 Speaker 1: done without Democrat votes through a process known as reconciliation, 190 00:11:32,880 --> 00:11:36,320 Speaker 1: which is what Democrats used to pass the Green New 191 00:11:36,360 --> 00:11:39,560 Speaker 1: Deal in the first place. That was never meant to 192 00:11:39,600 --> 00:11:44,120 Speaker 1: be an Inflation Reduction Act. That was always meant to 193 00:11:44,160 --> 00:11:48,080 Speaker 1: be a Green New Deal, and that's exactly what it became. 194 00:11:48,720 --> 00:11:51,760 Speaker 1: So on the issue of the electric vehicle, I never 195 00:11:51,840 --> 00:11:55,520 Speaker 1: believed Americans would transition to an electric vehicle and just 196 00:11:55,559 --> 00:11:59,240 Speaker 1: didn't see it happen, and I'm more resolute on that 197 00:11:59,360 --> 00:12:07,199 Speaker 1: point now with much more data, much more extensive information 198 00:12:07,400 --> 00:12:11,440 Speaker 1: to draw on than I was before. That doesn't mean 199 00:12:12,440 --> 00:12:15,800 Speaker 1: that your buddy or my buddy, Chance McLean doesn't have 200 00:12:15,880 --> 00:12:18,960 Speaker 1: an electric vehicle. There are plenty of electric vible and 201 00:12:19,000 --> 00:12:22,960 Speaker 1: you see them out there. The American car makers got 202 00:12:23,000 --> 00:12:30,240 Speaker 1: into the electric vehicle business to accommodate congress and congressional dictates, 203 00:12:30,520 --> 00:12:34,000 Speaker 1: so you had, you had the forwards and the GMS 204 00:12:34,000 --> 00:12:39,839 Speaker 1: and all that. That has been an absolute and utter bust. 205 00:12:40,080 --> 00:12:43,200 Speaker 1: And I'll tell you why. Because the people who wanted 206 00:12:43,320 --> 00:12:46,320 Speaker 1: EV on the front end were people who wanted a 207 00:12:46,400 --> 00:12:52,400 Speaker 1: trendy hip, who car that other people didn't have. EV 208 00:12:52,679 --> 00:12:57,080 Speaker 1: car owners wanted to be people who had a vehicle 209 00:12:57,320 --> 00:13:00,480 Speaker 1: that their parents and their neighbors and their colleagues did 210 00:13:00,520 --> 00:13:04,760 Speaker 1: not have. That meant Tesla, and then eventually, to a 211 00:13:04,840 --> 00:13:08,640 Speaker 1: much lesser extent, it meant locid in, Pollstar and Rivian 212 00:13:09,360 --> 00:13:12,040 Speaker 1: and Fisk, and all of those businesses will be out 213 00:13:12,040 --> 00:13:14,840 Speaker 1: of business in a couple of years. I think Rivian 214 00:13:14,880 --> 00:13:18,560 Speaker 1: makes a beautiful SUV. I think Rivian's styling is the 215 00:13:18,559 --> 00:13:22,680 Speaker 1: best styling in the business. It's a very very attractive vehicle, 216 00:13:23,120 --> 00:13:25,280 Speaker 1: but they can't figure out how to make money. And 217 00:13:25,640 --> 00:13:29,959 Speaker 1: if you actually look at the numbers of every company 218 00:13:30,000 --> 00:13:33,880 Speaker 1: except for Tesla in the EV space, they're not only 219 00:13:33,960 --> 00:13:38,640 Speaker 1: losing money overall, they're losing money on every unit they sell. 220 00:13:39,040 --> 00:13:42,960 Speaker 1: They cannot produce the unit for what they sell it 221 00:13:43,000 --> 00:13:47,200 Speaker 1: to the consumer for, and their prices are insane. So 222 00:13:47,360 --> 00:13:50,480 Speaker 1: if they're selling a vehicle for ninety thousand dollars but 223 00:13:50,640 --> 00:13:55,760 Speaker 1: it costs them one hundred and fifteen, you might think, well, 224 00:13:55,800 --> 00:13:58,720 Speaker 1: they just need to sell more. No, they're still not 225 00:13:58,800 --> 00:14:02,440 Speaker 1: able to get there, so maybe increase the price. Price 226 00:14:02,559 --> 00:14:06,680 Speaker 1: is elastic, and they have reached the elasticity the number 227 00:14:06,760 --> 00:14:10,160 Speaker 1: of people who can afford an electric car, because you're 228 00:14:10,160 --> 00:14:13,840 Speaker 1: talking from almost all of them, you're talking ninety thousand 229 00:14:13,920 --> 00:14:16,280 Speaker 1: and up. The number of people who can afford that 230 00:14:17,080 --> 00:14:21,520 Speaker 1: is a very small slice of people. And now you're 231 00:14:21,560 --> 00:14:24,000 Speaker 1: competing with the range Rover, and I do think they've 232 00:14:24,040 --> 00:14:28,000 Speaker 1: cut into the range Rover, competing with the Cadillac Escalade, 233 00:14:28,840 --> 00:14:34,640 Speaker 1: you're competing with the loaded out suburban, which still has 234 00:14:34,720 --> 00:14:41,800 Speaker 1: a great brand, equity and desirability you're competing against. I 235 00:14:41,840 --> 00:14:44,560 Speaker 1: think they've probably taken a hit because of this Mercedes 236 00:14:44,800 --> 00:14:49,000 Speaker 1: and the BMW's there just aren't that many people able 237 00:14:49,040 --> 00:14:51,520 Speaker 1: to buy a car. And you know what's a good 238 00:14:51,520 --> 00:14:55,000 Speaker 1: looking vehicle is that? Is it a is it called 239 00:14:55,040 --> 00:14:57,760 Speaker 1: a land Rover? It's kind of boxy, you know what 240 00:14:57,760 --> 00:15:01,000 Speaker 1: I'm talking about? Well, yeah, the Defender. Chris Shaw's got 241 00:15:01,000 --> 00:15:02,800 Speaker 1: one of them. That's a good looking vehicle. Not the 242 00:15:02,840 --> 00:15:06,040 Speaker 1: little one, the longer one. That's a good looking I 243 00:15:06,240 --> 00:15:08,800 Speaker 1: rolled up on a car dealership because I saw a 244 00:15:08,800 --> 00:15:10,680 Speaker 1: buddy of mine pulling into it and I was gonna 245 00:15:10,720 --> 00:15:12,160 Speaker 1: pull in behind him. I thought, oh, I'm basically going 246 00:15:12,200 --> 00:15:14,880 Speaker 1: to look for a car. There was a beautiful Defender 247 00:15:14,960 --> 00:15:19,200 Speaker 1: parked out front, and I pulled up behind it and 248 00:15:19,240 --> 00:15:23,480 Speaker 1: he went in, and I walked in and I walked 249 00:15:23,480 --> 00:15:27,600 Speaker 1: around the car. It was absolutely gorgeous vehicle, walked around 250 00:15:27,600 --> 00:15:30,560 Speaker 1: the car, walked in and he was shaking hands with 251 00:15:30,600 --> 00:15:33,240 Speaker 1: the salesman and they were walking out. I said, he said, hey, 252 00:15:33,280 --> 00:15:35,040 Speaker 1: what are you doing here? I said, I saw you 253 00:15:35,040 --> 00:15:37,800 Speaker 1: pulling in. I thought I was over on old Hempstead. 254 00:15:38,200 --> 00:15:40,280 Speaker 1: I thought i'd follow you in. I said, I was 255 00:15:40,320 --> 00:15:42,360 Speaker 1: just looking at that Defender out there. Man, thing is 256 00:15:42,400 --> 00:15:44,880 Speaker 1: gorgeous says, that's what I'm here to pick up, and 257 00:15:45,840 --> 00:15:48,520 Speaker 1: he was that's what he was doing one final test driving, 258 00:15:48,520 --> 00:15:51,720 Speaker 1: and he was driving it out. So now you're talking 259 00:15:51,760 --> 00:15:56,360 Speaker 1: about a slice of the car buyer market that is 260 00:15:56,600 --> 00:16:01,640 Speaker 1: already the equivalent of fine dining. Right, You're already way 261 00:16:01,720 --> 00:16:05,800 Speaker 1: up there. Who's the only person making an electric car 262 00:16:06,280 --> 00:16:10,480 Speaker 1: that's below fifty thousand dollars Tesla. That's the problem. You've 263 00:16:10,480 --> 00:16:11,760 Speaker 1: got to be able to make a lot of these 264 00:16:11,800 --> 00:16:15,560 Speaker 1: cars at an affordable price, and those other guys just 265 00:16:15,600 --> 00:16:17,480 Speaker 1: can't do it. And Ford and GM, they all need 266 00:16:17,520 --> 00:16:27,160 Speaker 1: to quit. Michael Barry show a Burnham. There's no background check, 267 00:16:27,560 --> 00:16:32,840 Speaker 1: so if you there's no permit required, so regardless your background. 268 00:16:32,880 --> 00:16:35,680 Speaker 1: And I got a lot of listeners who are extreme 269 00:16:35,920 --> 00:16:38,960 Speaker 1: off the grid libertarians who do not want to go 270 00:16:39,040 --> 00:16:42,480 Speaker 1: through any governmental systems anymore than they possibly ever have to. 271 00:16:43,120 --> 00:16:46,040 Speaker 1: So they love the no background check, no permit required, 272 00:16:46,440 --> 00:16:50,000 Speaker 1: and it's legal in all fifty states and as a 273 00:16:50,120 --> 00:16:53,160 Speaker 1: less lethal self defense. I will tell you my brother 274 00:16:53,240 --> 00:16:55,600 Speaker 1: was a cop, as you know, my late brother, for 275 00:16:55,640 --> 00:16:57,880 Speaker 1: over thirty years, and he said, you know, there are 276 00:16:57,880 --> 00:17:00,880 Speaker 1: a lot of people who very blithely, very talk about 277 00:17:00,960 --> 00:17:04,960 Speaker 1: killing somebody who comes into their home. You do not 278 00:17:05,280 --> 00:17:07,560 Speaker 1: want to have to kill somebody. I would if I 279 00:17:07,600 --> 00:17:13,040 Speaker 1: had to, But the problems don't end, then the problems begins. 280 00:17:13,200 --> 00:17:15,879 Speaker 1: It's a difficult thing, and that's what I love about this. 281 00:17:16,000 --> 00:17:21,880 Speaker 1: I still own my traditional guns, but my Burna is 282 00:17:22,040 --> 00:17:24,280 Speaker 1: what I'm keeping beside me at all times as well, 283 00:17:24,520 --> 00:17:28,399 Speaker 1: because in most situations that is more than sufficient to 284 00:17:28,480 --> 00:17:31,680 Speaker 1: protect us. Well, it is Christmas time, and as we've 285 00:17:31,720 --> 00:17:36,080 Speaker 1: been talking about, unfortunately with all the merriment and the 286 00:17:36,080 --> 00:17:40,000 Speaker 1: fellowship and the joy, there is also an increasing crime. 287 00:17:40,119 --> 00:17:43,200 Speaker 1: It happens every year, and I have asked Luan fam 288 00:17:43,200 --> 00:17:45,720 Speaker 1: my friend he's been on the show before with burna 289 00:17:45,960 --> 00:17:49,080 Speaker 1: dot Com forward slash Michael, to be our guest, because 290 00:17:49,080 --> 00:17:52,520 Speaker 1: I had a couple of questions to start with, not 291 00:17:52,680 --> 00:17:56,800 Speaker 1: a Christmas related question. Luan. One of the things that 292 00:17:57,200 --> 00:18:00,919 Speaker 1: your folks are telling me is while y'all saw materials 293 00:18:00,920 --> 00:18:04,439 Speaker 1: from around the world and you hand a symbol the 294 00:18:04,520 --> 00:18:08,440 Speaker 1: guns in Fort Wayne as part of the Trump administration's 295 00:18:08,480 --> 00:18:11,359 Speaker 1: push to bring everything to the United States, y'all have 296 00:18:11,640 --> 00:18:15,080 Speaker 1: embraced that fully. Tell me about that. Hey, Michael, how 297 00:18:15,160 --> 00:18:15,680 Speaker 1: you doing brother? 298 00:18:15,760 --> 00:18:17,600 Speaker 6: Thank you for having me on and Merry Christmas to 299 00:18:17,680 --> 00:18:20,560 Speaker 6: you and your listeners out there. And yes, you know, 300 00:18:20,840 --> 00:18:25,159 Speaker 6: with the landslide victory of President Trump, we want to 301 00:18:25,680 --> 00:18:31,280 Speaker 6: really support the policy of restoring all of our manufacturing. 302 00:18:30,680 --> 00:18:32,360 Speaker 1: Back to the United States. 303 00:18:32,600 --> 00:18:36,200 Speaker 6: As you mentioned, we proudly are American company operate out 304 00:18:36,240 --> 00:18:40,080 Speaker 6: of Boston, and we want to short reshore everything just 305 00:18:40,080 --> 00:18:44,639 Speaker 6: because it's smart business. It rebuilds to rebuild America, and 306 00:18:44,720 --> 00:18:50,560 Speaker 6: it allows us to offset any challenges that a recurrence 307 00:18:50,560 --> 00:18:53,080 Speaker 6: of a pandemic might cause, you know, in the habit 308 00:18:53,119 --> 00:18:55,720 Speaker 6: from a global supply chain perspective. And you know, we 309 00:18:56,200 --> 00:18:59,520 Speaker 6: do proudly say that we are American and we want 310 00:18:59,520 --> 00:19:04,400 Speaker 6: to help with growing the economy. And recently there were 311 00:19:05,080 --> 00:19:09,080 Speaker 6: layoffs in Fort Wayne, Indiana, where our factory is from 312 00:19:09,080 --> 00:19:12,960 Speaker 6: an American auto manufacturer, and you know, we were humbly 313 00:19:13,400 --> 00:19:16,239 Speaker 6: grateful enough to be in the position to pick up 314 00:19:16,240 --> 00:19:18,480 Speaker 6: about twenty three of those people that were laid off. 315 00:19:19,080 --> 00:19:22,119 Speaker 1: You know, it's interesting, because I talked a lot about 316 00:19:22,400 --> 00:19:26,080 Speaker 1: the vagaries of capitalism, is not every business service forever. 317 00:19:27,640 --> 00:19:29,560 Speaker 1: There will be businesses that will thrive, and there will 318 00:19:29,600 --> 00:19:32,359 Speaker 1: be businesses that die and new ones will take their place, 319 00:19:32,760 --> 00:19:35,719 Speaker 1: and that is part of it. But it is interesting 320 00:19:35,880 --> 00:19:40,160 Speaker 1: to see. I don't know what the market was before 321 00:19:40,600 --> 00:19:44,360 Speaker 1: Berna because I never owned a less lethal self defense 322 00:19:44,640 --> 00:19:47,800 Speaker 1: like this, But all of a sudden and I think 323 00:19:47,840 --> 00:19:51,240 Speaker 1: I saw the number, and I've been responsible for buying 324 00:19:51,240 --> 00:19:55,560 Speaker 1: a fair number of them myself. Over, did I see? 325 00:19:55,800 --> 00:19:57,960 Speaker 1: Was it five hundred thousand units y'all have sold? 326 00:19:58,000 --> 00:19:58,200 Speaker 2: Now? 327 00:19:58,760 --> 00:20:01,359 Speaker 6: Yes, sir, And you know, Michael, don't be so humble. 328 00:20:01,480 --> 00:20:03,600 Speaker 6: You were a big part of getting us getting the 329 00:20:03,600 --> 00:20:05,560 Speaker 6: word out there, and you know at being an advocate 330 00:20:05,600 --> 00:20:09,840 Speaker 6: for Berna and bringing this product or bringing the awareness 331 00:20:09,880 --> 00:20:13,240 Speaker 6: of this product to your listeners has been very helpful 332 00:20:13,280 --> 00:20:14,879 Speaker 6: for us, So we thank you for that. But yes, 333 00:20:15,320 --> 00:20:20,159 Speaker 6: five hundred thousand units was in like a five year timespan. 334 00:20:20,840 --> 00:20:24,960 Speaker 6: And the reality is that Americans, as you know, I'm 335 00:20:24,960 --> 00:20:27,159 Speaker 6: a gun owner too, and many of the folks that 336 00:20:27,240 --> 00:20:30,240 Speaker 6: Berna our gun owners. But we wanted a common sense 337 00:20:30,240 --> 00:20:33,959 Speaker 6: solution to the nuclear option, which is pulling out your 338 00:20:34,000 --> 00:20:37,120 Speaker 6: lethal firearm and taking a life. And you know, according 339 00:20:37,440 --> 00:20:42,400 Speaker 6: to the FBISE, those instances that require lethal forces only 340 00:20:42,440 --> 00:20:45,320 Speaker 6: one percent, So you know we have the one percent 341 00:20:45,400 --> 00:20:49,560 Speaker 6: covered as firearms practitioners. What about the other ninety nine 342 00:20:49,960 --> 00:20:50,679 Speaker 6: and folks. 343 00:20:50,400 --> 00:20:51,000 Speaker 1: Are waking up. 344 00:20:51,000 --> 00:20:53,920 Speaker 6: And as I mentioned to you before, California's are the 345 00:20:53,920 --> 00:20:58,000 Speaker 6: biggest baid for customers, followed by Texas a very close second, 346 00:20:58,320 --> 00:21:02,280 Speaker 6: and third Florida. So you're talking about three states that 347 00:21:02,560 --> 00:21:06,080 Speaker 6: are polar opposite where Texas and Florida is. You know, 348 00:21:06,119 --> 00:21:09,280 Speaker 6: the whole legality and usage of a gun is much 349 00:21:09,320 --> 00:21:10,560 Speaker 6: more laxed than it. 350 00:21:10,520 --> 00:21:13,720 Speaker 1: Is in California. But all of these folks see. 351 00:21:13,560 --> 00:21:16,600 Speaker 6: The same thing I pulled that I pulled my fire 352 00:21:16,840 --> 00:21:19,159 Speaker 6: had to shoot that round. I'm responsible for that bullet, 353 00:21:19,600 --> 00:21:22,320 Speaker 6: and that bullet has consequences. You know, God forbid you 354 00:21:22,400 --> 00:21:24,280 Speaker 6: hid an innocent bystandard. 355 00:21:24,520 --> 00:21:29,280 Speaker 1: We had le We had a terrible case here where 356 00:21:29,320 --> 00:21:33,760 Speaker 1: a guy turned and shot. He some bad guys were 357 00:21:33,760 --> 00:21:38,679 Speaker 1: approaching him. He turned and shot and unfortunately missed, And 358 00:21:38,920 --> 00:21:41,919 Speaker 1: there was an innocent girl in a car behind the 359 00:21:41,960 --> 00:21:44,560 Speaker 1: turds who were coming up on him, and it killed her. 360 00:21:44,600 --> 00:21:47,479 Speaker 1: And he's he's being charged, I mean, he's being charged 361 00:21:47,520 --> 00:21:50,399 Speaker 1: in what could send him away for life. And this 362 00:21:50,560 --> 00:21:53,600 Speaker 1: was this guy was a crime victim, a prepared crime victim. 363 00:21:53,640 --> 00:21:57,200 Speaker 1: It's just that the choice he made and a lack 364 00:21:57,240 --> 00:22:01,160 Speaker 1: of accuracy. Wow, I mean, it's it's it's frighten me lewan. 365 00:22:01,359 --> 00:22:03,119 Speaker 1: I don't want to run out of time here before 366 00:22:03,160 --> 00:22:06,560 Speaker 1: I get to something that was important. I talked to 367 00:22:06,560 --> 00:22:11,800 Speaker 1: some of your folks about the sales at Christmas spiking 368 00:22:12,200 --> 00:22:15,120 Speaker 1: because I asked the question with crime going up at Christmas, 369 00:22:15,600 --> 00:22:19,520 Speaker 1: and apparently the sales go through the roof because I 370 00:22:19,520 --> 00:22:23,120 Speaker 1: guess people recognize obviously, I buy these things as gifts. 371 00:22:23,160 --> 00:22:24,879 Speaker 1: You know the story about ten of them before I 372 00:22:24,880 --> 00:22:28,280 Speaker 1: ever knew you folks. But is that what you're seeing 373 00:22:28,480 --> 00:22:30,520 Speaker 1: is that I guess obviously gift giving is going to 374 00:22:30,560 --> 00:22:32,080 Speaker 1: be a big part of that as well. But how 375 00:22:32,160 --> 00:22:35,520 Speaker 1: much of that is people afraid at Christmas? That, yes, 376 00:22:35,600 --> 00:22:37,240 Speaker 1: crime is up, Yeah. 377 00:22:37,520 --> 00:22:40,040 Speaker 6: Definitely when the people are aware that during the Holida 378 00:22:40,080 --> 00:22:42,119 Speaker 6: seasons there's a huge spike in crime. 379 00:22:42,160 --> 00:22:43,960 Speaker 1: And we were fortunate enough. 380 00:22:43,720 --> 00:22:50,639 Speaker 6: To see that thought or that philosophy transfer to our 381 00:22:50,680 --> 00:22:53,920 Speaker 6: holiday sales numbers. We had a record day and Black Friday, 382 00:22:53,960 --> 00:22:57,440 Speaker 6: selling over a million dollars that day, and then followed 383 00:22:57,440 --> 00:23:01,359 Speaker 6: by a much bigger Cyber Monday, and collectively between those 384 00:23:01,400 --> 00:23:04,359 Speaker 6: two that weekend we did two point four million dollars 385 00:23:04,359 --> 00:23:08,840 Speaker 6: in sales, and that you know, over one hundred percent growth, 386 00:23:08,880 --> 00:23:11,320 Speaker 6: you over your growth. On top of that, what it's 387 00:23:11,359 --> 00:23:15,560 Speaker 6: saying is that our customers, Americans out there, want to 388 00:23:15,600 --> 00:23:19,080 Speaker 6: give the gifts of peace of mind right and so 389 00:23:19,119 --> 00:23:22,640 Speaker 6: they feel better. Their daughter in college had a burner there, 390 00:23:22,960 --> 00:23:25,560 Speaker 6: you know, their mom that lives alone has a burner. 391 00:23:25,760 --> 00:23:26,800 Speaker 1: So we're seeing that. 392 00:23:26,760 --> 00:23:30,159 Speaker 6: Because they're they're aware where they're giving berne as gifts 393 00:23:30,440 --> 00:23:33,400 Speaker 6: with intentions so that he could sleep better at night. 394 00:23:33,960 --> 00:23:38,240 Speaker 1: Well, I came to know you and your team because 395 00:23:38,359 --> 00:23:41,720 Speaker 1: my friend Jimmy Fullen, who is the incoming sheriff of 396 00:23:41,760 --> 00:23:46,560 Speaker 1: Galveston County just south of Houston, was training down on 397 00:23:46,600 --> 00:23:51,400 Speaker 1: the border of Mexico and defending Texas on his own 398 00:23:51,440 --> 00:23:55,600 Speaker 1: time to protect the state and did training on the 399 00:23:55,640 --> 00:23:59,880 Speaker 1: burn of guns and is a big believer in supplementing 400 00:24:00,080 --> 00:24:04,399 Speaker 1: traditional firearms with the less lethal burner. And I guess 401 00:24:04,440 --> 00:24:07,600 Speaker 1: he brought y'all, brought me to y'all's attention and said 402 00:24:07,600 --> 00:24:10,199 Speaker 1: that did you realize there's this guy down in Houston 403 00:24:10,200 --> 00:24:13,520 Speaker 1: who's buying up your your guns and sending them out 404 00:24:13,560 --> 00:24:16,080 Speaker 1: because I'd rather use this projectile than a bullet, if 405 00:24:16,359 --> 00:24:20,520 Speaker 1: at all possible, And I will tell you it is. 406 00:24:21,359 --> 00:24:23,840 Speaker 1: It's one of those deals where the marketplace needed it, 407 00:24:24,480 --> 00:24:27,400 Speaker 1: and now the marketplace has it, and we're seeing law 408 00:24:27,440 --> 00:24:31,600 Speaker 1: enforcement use it. We're seeing religious institutions buying them in bolt, 409 00:24:31,640 --> 00:24:33,400 Speaker 1: and we're seeing a lot of our listeners. I know 410 00:24:33,480 --> 00:24:36,680 Speaker 1: because I hear from your folks. I think it's a wonderful, 411 00:24:36,840 --> 00:24:39,920 Speaker 1: wonderful product and it will make a great Christmas gift. 412 00:24:39,920 --> 00:24:43,240 Speaker 1: And you've got cyber Mondays and Black Fridays and all 413 00:24:43,280 --> 00:24:46,280 Speaker 1: sorts of other things going on. It's Burner by r 414 00:24:46,359 --> 00:24:51,080 Speaker 1: Inna dot com forward slash Michael Lwan, Thank you. 415 00:24:51,080 --> 00:24:54,080 Speaker 4: My friend, Thank you Christmas. 416 00:24:54,480 --> 00:24:59,280 Speaker 1: You got the Michael Berry's show. All right. Nine presidents 417 00:24:59,480 --> 00:25:03,440 Speaker 1: never graduate. He went in from college, the last one 418 00:25:03,880 --> 00:25:08,560 Speaker 1: and the only one of the twentieth century. Can you 419 00:25:08,600 --> 00:25:12,800 Speaker 1: guess it was? You can guess think of the most 420 00:25:13,400 --> 00:25:19,280 Speaker 1: common president by which I mean breeding schooling. He was 421 00:25:19,280 --> 00:25:23,240 Speaker 1: a clerk. In fact, he was a very very corrupt 422 00:25:23,640 --> 00:25:29,200 Speaker 1: clerk in Missouri who I think was a Pendergast family 423 00:25:29,200 --> 00:25:32,040 Speaker 1: who ran a machine there and he was the cog 424 00:25:32,080 --> 00:25:34,880 Speaker 1: in the wheel that made it happen. Harry S. Truman 425 00:25:35,440 --> 00:25:41,359 Speaker 1: S stands for nothing. Yeah, it's like in the word T, 426 00:25:41,640 --> 00:25:43,720 Speaker 1: like iced T, the E and the a are silent, 427 00:25:44,520 --> 00:25:48,160 Speaker 1: same thing as no middle name. So you're nine presidents 428 00:25:48,160 --> 00:25:56,440 Speaker 1: who never graduated from college in George Washington, Andrew Jackson, 429 00:25:58,280 --> 00:26:10,560 Speaker 1: Martin Van Buren, Zachary Taylor, Millard Fillmore, Abraham Lincoln you 430 00:26:10,600 --> 00:26:14,320 Speaker 1: could practice law without a college degree at the time, 431 00:26:15,280 --> 00:26:21,240 Speaker 1: Andrew Johnson, the accidental president when Lincoln was assassinated, and 432 00:26:21,320 --> 00:26:24,720 Speaker 1: last but not least, Grover Cleveland, and then, of course 433 00:26:24,760 --> 00:26:27,800 Speaker 1: Harry S. Truman. All Right, very quickly, Ramond, to make 434 00:26:27,840 --> 00:26:32,240 Speaker 1: a point, there are a handful of first ladies in 435 00:26:32,280 --> 00:26:38,119 Speaker 1: American history that are extremely well known, and the rest 436 00:26:38,280 --> 00:26:41,160 Speaker 1: are not partially known. I don't know much about him. 437 00:26:41,560 --> 00:26:44,320 Speaker 1: You either know the first lady and something about her, 438 00:26:44,920 --> 00:26:47,280 Speaker 1: or you don't know her name at all. I look 439 00:26:47,359 --> 00:26:49,400 Speaker 1: this up this weekend, so I'm kind of interested to share, 440 00:26:49,480 --> 00:26:51,600 Speaker 1: like a little nerd. All Right, so here we go. 441 00:26:51,600 --> 00:26:54,719 Speaker 1: I'll give you the president, and very quickly, you spout 442 00:26:54,760 --> 00:26:57,720 Speaker 1: the first lady's name. Are you ready? We'll go in order. 443 00:26:57,760 --> 00:27:04,200 Speaker 1: George Washington, Martha Washington, correct, John Adams, Abigail Adams is correct, 444 00:27:05,000 --> 00:27:15,720 Speaker 1: Thomas Jefferson, aren't thank You wouldn't know James Madison, Dolly Madison. 445 00:27:15,880 --> 00:27:21,000 Speaker 1: That's correct. James Monroe, Elizabeth. You wouldn't know that, John 446 00:27:21,080 --> 00:27:26,760 Speaker 1: Quincy Adams, Louisa. You wouldn't know Andrew Jackson. A lot 447 00:27:26,800 --> 00:27:31,120 Speaker 1: of people know this one because they were married, well, 448 00:27:31,560 --> 00:27:35,040 Speaker 1: they were both separately married, and it became a huge 449 00:27:35,080 --> 00:27:44,520 Speaker 1: scandal and they smeared him with that. Rachel Emily Jackson. Oh, 450 00:27:44,600 --> 00:27:48,800 Speaker 1: you're just guessing old names. Martin van Buren Hannah. But 451 00:27:48,880 --> 00:27:51,040 Speaker 1: her full name, just so you know, was Hannah Hoose 452 00:27:51,359 --> 00:27:57,440 Speaker 1: h o Ees, Hannah Hoose van Buren. Those Hose girls, 453 00:27:57,480 --> 00:28:00,960 Speaker 1: you know, that's what they were known as. Henry Harrison, 454 00:28:02,760 --> 00:28:09,840 Speaker 1: Anna Tutthill, Sims Harrison, John Tyler, Letitia James K. Polk, 455 00:28:11,080 --> 00:28:21,480 Speaker 1: Sarah Zachary Taylor, Margaret Millard Fillmore, another Abigail Franklin, Pierce, 456 00:28:22,880 --> 00:28:26,880 Speaker 1: Jane James Buchanan never married. You know what that means 457 00:28:26,920 --> 00:28:29,399 Speaker 1: if you're president from eighteen fifty seven eighteen sixty one 458 00:28:29,440 --> 00:28:36,479 Speaker 1: and you never married. Abraham Lincoln, Mary Todd Lincoln is correct. 459 00:28:37,560 --> 00:28:42,280 Speaker 1: Andrew Johnson, Elizah, you wouldn't know that. Ulysses S. Grant, 460 00:28:43,600 --> 00:28:50,240 Speaker 1: Julia Rutherford b. Hayes. Be's Burchard by the way, Lucretia, 461 00:28:50,640 --> 00:28:55,080 Speaker 1: Oh no, sorry, not Lucretia Lucy Lucy. James Garfield's been 462 00:28:55,080 --> 00:29:02,360 Speaker 1: shot down. His widow was Lucretia. His successor Chester, Arthur Ellen, 463 00:29:03,360 --> 00:29:11,920 Speaker 1: Grover Cleveland, Francis Benjamin Harrison, Caroline Grover Cleveland like old name, 464 00:29:12,200 --> 00:29:19,160 Speaker 1: Francis William McKinley, Ida. Don't name women Ida anymore? Teddy Roosevelt. 465 00:29:19,160 --> 00:29:24,520 Speaker 1: Do you know Teddy Roosevelt's West name? Edith Kermit Caro Roosevelt, 466 00:29:25,800 --> 00:29:36,680 Speaker 1: William H. Have Helen Woodrow Wilson Ellen, not Helen Ellen. 467 00:29:37,320 --> 00:29:42,280 Speaker 1: Calvin Coolidge, what a perfect name for his wife, Grace, 468 00:29:43,840 --> 00:29:47,640 Speaker 1: because he was a Methodist ministry Grace good Hugh Coolidge, 469 00:29:48,080 --> 00:29:50,880 Speaker 1: Did that sound like a minister's wife, Grace? It's only 470 00:29:50,920 --> 00:29:56,760 Speaker 1: an English novel. Herbert Hoover. His wife's name was Lou Hellou. 471 00:29:58,080 --> 00:30:00,400 Speaker 1: Franklin D. Roosevelt. See there's one of those. You know 472 00:30:00,440 --> 00:30:04,520 Speaker 1: The wife's name Eleanor is correct. Harry S. Truman. I 473 00:30:04,560 --> 00:30:06,920 Speaker 1: think not as many, but a lot of people will 474 00:30:06,920 --> 00:30:12,960 Speaker 1: know Harry Truman's wife's name, Bess b e Ss. Dwight D. 475 00:30:13,160 --> 00:30:17,360 Speaker 1: Eisenhower from here people will know. I think most Maybe 476 00:30:17,880 --> 00:30:23,120 Speaker 1: you know what state Dwight Eisenowder was born in. John F. Kennedy, 477 00:30:23,920 --> 00:30:29,120 Speaker 1: The lovely Jacqulyn Bouvier Kennedy and then she goes and 478 00:30:29,200 --> 00:30:36,560 Speaker 1: ruin it by Marionnette Lyndon B. Johnson, particularly known in Texas. 479 00:30:37,240 --> 00:30:39,880 Speaker 1: What a great cause. Flowers on the Highway that might 480 00:30:40,000 --> 00:30:42,920 Speaker 1: seem silly, but that's lasting to this day and I 481 00:30:42,960 --> 00:30:46,680 Speaker 1: love it, by the way. Lady Birdy, Dick Nixon, Pat 482 00:30:47,520 --> 00:30:58,520 Speaker 1: Gerald Ford, Betty famous for Jimmy Carter, rosalind Ronald Reagan, 483 00:30:58,600 --> 00:31:03,680 Speaker 1: of course, Nancy Barbara Bush, Oh sorry, George Bush. Barbara 484 00:31:03,680 --> 00:31:09,760 Speaker 1: Bush most noted for what was her cause? Literacy? Bill Clinton, 485 00:31:10,200 --> 00:31:14,120 Speaker 1: Oh that tastes in my mouth. George W. Bush, Laura Bush, 486 00:31:14,160 --> 00:31:17,440 Speaker 1: Barack Obama, Michelle Obama, Donald J. Trump, the most Beautiful, 487 00:31:17,480 --> 00:31:22,400 Speaker 1: the First Dage of Millennia. And Joe Biden, Doctor Joe Biden,