1 00:00:01,880 --> 00:00:07,440 Speaker 1: It's that time, time, time, time, luck and load. 2 00:00:09,320 --> 00:00:11,480 Speaker 2: So Michael Very show is. 3 00:00:11,400 --> 00:00:14,920 Speaker 3: On the air at a summer job at McDonald's Sali. 4 00:00:15,120 --> 00:00:17,520 Speaker 1: It's a total I she never worked at McDonald's, but 5 00:00:17,840 --> 00:00:19,120 Speaker 1: she lies about everything. 6 00:00:19,239 --> 00:00:20,439 Speaker 4: I love you. 7 00:00:22,400 --> 00:00:23,640 Speaker 3: The nice people we meet him. 8 00:00:23,720 --> 00:00:29,760 Speaker 2: I'm loving don together, Grimace. We could own this town. 9 00:00:31,520 --> 00:00:36,240 Speaker 2: It's a happy birthday, Gama. Maybe I'll get her surprise. 10 00:00:36,520 --> 00:00:39,360 Speaker 2: I love you this guy. I'm not gonna mess with him. 11 00:00:39,479 --> 00:00:42,000 Speaker 2: Uh but I could do this all day. I wouldn't 12 00:00:42,000 --> 00:00:49,680 Speaker 2: mind this show. I love you, Gonch. 13 00:00:55,000 --> 00:01:02,160 Speaker 5: I've now worked for fifteen minutes more than kabala Oh. 14 00:01:03,080 --> 00:01:07,440 Speaker 6: President Trump had a day at McDonald's where the golden 15 00:01:07,560 --> 00:01:11,399 Speaker 6: arches became a stage for genius political theater. 16 00:01:12,480 --> 00:01:13,080 Speaker 2: Picture this. 17 00:01:13,920 --> 00:01:18,160 Speaker 6: Trump donned in what could be described as maga casual, 18 00:01:18,800 --> 00:01:22,760 Speaker 6: a business shirt, red tie, and an apron that might 19 00:01:22,760 --> 00:01:27,440 Speaker 6: as well say the Apprentice fast food edition. He stepped 20 00:01:27,440 --> 00:01:30,959 Speaker 6: into a McDonald's in Pennsylvania not just to grab a 21 00:01:30,959 --> 00:01:34,520 Speaker 6: big Mac, but to man the front station. This wasn't 22 00:01:34,560 --> 00:01:37,520 Speaker 6: just any visit. It was a political statement wrapped in 23 00:01:37,560 --> 00:01:42,080 Speaker 6: a quarter pounded burger bun. Trump flexed his reality starchops, 24 00:01:42,280 --> 00:01:44,880 Speaker 6: diving into the deep end of fast food service with 25 00:01:45,000 --> 00:01:47,640 Speaker 6: pictures of the event. Even Norman Rockwell would be proud 26 00:01:47,680 --> 00:01:51,760 Speaker 6: of this Visit wasn't just about flipping burgers. It was 27 00:01:51,880 --> 00:01:56,240 Speaker 6: about flipping the narrative for a moment. He wasn't just 28 00:01:56,400 --> 00:02:00,480 Speaker 6: the former president of the United States, but the new 29 00:02:00,520 --> 00:02:05,880 Speaker 6: guy at Mickey Di's, bringing into question Harris's relatability by 30 00:02:06,040 --> 00:02:11,200 Speaker 6: turning himself into the everyman, albeit with a billionaire twist. 31 00:02:11,919 --> 00:02:15,480 Speaker 6: And at the end of his well shift, Trump left 32 00:02:15,520 --> 00:02:21,000 Speaker 6: with a grandfatherly smile. The internet exploded with memes, debates, 33 00:02:21,560 --> 00:02:25,120 Speaker 6: and probably a few new fast food theme political slogans. 34 00:02:25,520 --> 00:02:31,280 Speaker 6: It was politics, it was entertainment. It was Trump at McDonald's. 35 00:02:31,320 --> 00:02:34,840 Speaker 6: Of course it was. And you can bet Kamala Harris 36 00:02:35,200 --> 00:02:40,000 Speaker 6: is grimacing. I'm Thornton Finch reporting for the Michael Berry Show. 37 00:02:40,560 --> 00:02:47,160 Speaker 2: Good Day. It was Kamala Harris's birthday yesterday. And she 38 00:02:47,360 --> 00:02:51,120 Speaker 2: can cry if she wants to, because it was perhaps 39 00:02:51,240 --> 00:02:56,600 Speaker 2: the greatest single day for the Trump campaign after the 40 00:02:56,720 --> 00:02:59,200 Speaker 2: day when he was shot in the head, because that 41 00:02:59,320 --> 00:03:02,160 Speaker 2: made a lot of people stand up and say, I'm 42 00:03:02,200 --> 00:03:04,959 Speaker 2: going to support him. There's a lot at stake here. 43 00:03:07,080 --> 00:03:12,040 Speaker 2: This was a day like none other. Let's start with 44 00:03:12,360 --> 00:03:24,040 Speaker 2: the McDonald's case. Wow was this ever big? First some context. 45 00:03:25,320 --> 00:03:30,320 Speaker 2: It all stems from a story. Kamala Harris lies. Tim 46 00:03:30,360 --> 00:03:34,600 Speaker 2: Walls lies. Tim Walls claims he saw comeback. He didn't. 47 00:03:35,200 --> 00:03:37,920 Speaker 2: He claims he was the coach of the team that 48 00:03:37,960 --> 00:03:40,560 Speaker 2: won the state championship. He wasn't. He claims he's a 49 00:03:40,600 --> 00:03:45,720 Speaker 2: head coach. These people tell lies, and they tell lies 50 00:03:45,760 --> 00:03:49,800 Speaker 2: to try to for self aggrandizement and to try to 51 00:03:49,840 --> 00:03:53,360 Speaker 2: identify with people, to try to be something they're not. 52 00:03:54,800 --> 00:03:56,640 Speaker 2: Why do they do this because you wouldn't do this 53 00:03:58,400 --> 00:04:03,280 Speaker 2: because everything about them is a fraud. So when you're 54 00:04:03,280 --> 00:04:06,840 Speaker 2: in a position that you're already a fraud, then there 55 00:04:06,920 --> 00:04:11,080 Speaker 2: is no real boundary. So we start here. Kamala Clint 56 00:04:11,080 --> 00:04:15,560 Speaker 2: Harris claimed during one of her little rallies that she 57 00:04:15,720 --> 00:04:17,000 Speaker 2: had worked at McDonald's. 58 00:04:18,240 --> 00:04:22,400 Speaker 7: Think about it, two middle class kids. Wan a daughter 59 00:04:22,440 --> 00:04:30,760 Speaker 7: of Oakland, California, who was raised by a working mother. 60 00:04:30,880 --> 00:04:34,240 Speaker 3: I had a summer job at McDonald's. 61 00:04:36,640 --> 00:04:40,480 Speaker 2: Well, she didn't have a summer job at McDonald's. McDonald's 62 00:04:40,720 --> 00:04:47,040 Speaker 2: does an amazing job of keeping employee records because one 63 00:04:47,120 --> 00:04:55,560 Speaker 2: of McDonald's charming little marketing ployees is the idea that 64 00:04:56,000 --> 00:04:59,960 Speaker 2: McDonald's is all American, that McDonald's is a first job 65 00:05:00,120 --> 00:05:03,240 Speaker 2: for a lot of people. Eight years ago, there was 66 00:05:03,279 --> 00:05:05,720 Speaker 2: a book that our executive producer, Chad Nakanish, she read 67 00:05:06,560 --> 00:05:10,400 Speaker 2: and he told me all about it. It's called Golden Opportunity, 68 00:05:10,839 --> 00:05:15,520 Speaker 2: Remarkable Careers that began at McDonald's. And it was about 69 00:05:16,240 --> 00:05:20,680 Speaker 2: of Jay Leno, the founder of Amazon dot Com, Jeff Biso's, 70 00:05:21,360 --> 00:05:24,760 Speaker 2: Leroy Chow's a congressman, I mean, who's a former astronaut, 71 00:05:25,320 --> 00:05:30,000 Speaker 2: Marcia Fudge who's a congressman, Actress Anny McDowell, and many others, 72 00:05:30,760 --> 00:05:33,440 Speaker 2: the golden of the golden opportunity to being the golden archest. 73 00:05:34,480 --> 00:05:38,560 Speaker 2: And everybody has a story of their first job. You know, 74 00:05:38,640 --> 00:05:42,839 Speaker 2: this menial, entry level job. But the lessons you learn, 75 00:05:43,480 --> 00:05:46,240 Speaker 2: maybe you got fired because you weren't mature enough, or 76 00:05:46,240 --> 00:05:51,520 Speaker 2: maybe that's what gave you the sense of discipline. It's 77 00:05:51,560 --> 00:05:54,560 Speaker 2: an important part of what they do. So she picked 78 00:05:54,560 --> 00:05:58,120 Speaker 2: the wrong company. See she could claim she was the 79 00:05:58,400 --> 00:06:02,839 Speaker 2: regional vice president of Radio Shack, and nobody know the 80 00:06:02,920 --> 00:06:07,000 Speaker 2: difference because they don't exist anymore. Just don't try that 81 00:06:07,160 --> 00:06:10,200 Speaker 2: on McDonald's. Well, the Trump people went to McDonald's and 82 00:06:10,240 --> 00:06:14,360 Speaker 2: said did she work there? They said, Uh, we don't 83 00:06:14,360 --> 00:06:16,960 Speaker 2: want to get involved in this. Did she work there? 84 00:06:17,000 --> 00:06:21,839 Speaker 2: Do you have an employee record of hers? We don't 85 00:06:22,160 --> 00:06:27,040 Speaker 2: have a record of her ever having worked at a McDonald's. 86 00:06:27,480 --> 00:06:29,720 Speaker 2: Do you have a record of everyone else who ever 87 00:06:29,720 --> 00:06:35,039 Speaker 2: punched in? Yes, well, then she didn't work there. So 88 00:06:36,040 --> 00:06:40,920 Speaker 2: her campaign now that, first of all, imagine how devoid 89 00:06:41,080 --> 00:06:45,839 Speaker 2: of accomplishment you are to have to claim you worked 90 00:06:45,839 --> 00:06:51,680 Speaker 2: at McDonald's when you didn't. What have you done your 91 00:06:51,880 --> 00:06:55,039 Speaker 2: entire life? Well as I know you know, what have 92 00:06:55,160 --> 00:06:59,120 Speaker 2: you done your entire life that you have to claim 93 00:06:59,279 --> 00:07:02,520 Speaker 2: you worked at mc donald's when you didn't to have 94 00:07:02,600 --> 00:07:06,320 Speaker 2: something interesting about you that you can tell in public. Now, 95 00:07:06,360 --> 00:07:14,480 Speaker 2: that's sad, isn't it. That's pitiful. So the Trump campaign 96 00:07:14,520 --> 00:07:21,000 Speaker 2: catches her lying and then her response. Her campaign's response 97 00:07:21,280 --> 00:07:26,200 Speaker 2: was that a friend of hers remembers her mother telling 98 00:07:26,240 --> 00:07:29,160 Speaker 2: her friend that her daughter was working and her mother 99 00:07:29,360 --> 00:07:33,520 Speaker 2: is dead now that her daughter was working there. Wait, 100 00:07:33,920 --> 00:07:36,800 Speaker 2: what how about you just prove it? Just find one 101 00:07:36,800 --> 00:07:43,440 Speaker 2: person you worked with something. So MSNBC Stephanie Rule tried 102 00:07:43,480 --> 00:07:48,200 Speaker 2: to help her with this little exchange. First one, just. 103 00:07:48,080 --> 00:07:50,880 Speaker 4: A fact check, because your opponent, there is a little 104 00:07:50,880 --> 00:07:53,160 Speaker 4: to day. Oh, there's no such thing as a little okay, 105 00:07:53,280 --> 00:07:56,640 Speaker 4: fair fair, because your opponent almost every day seems to 106 00:07:56,640 --> 00:07:58,600 Speaker 4: be talking about this. So I just want to ask you, 107 00:07:58,680 --> 00:08:01,440 Speaker 4: yes or no, At any point in your life have 108 00:08:01,520 --> 00:08:05,440 Speaker 4: you served to all these patties especial cut it short. 109 00:08:05,440 --> 00:08:07,920 Speaker 2: I know we've got to go to break. She's trying 110 00:08:07,960 --> 00:08:11,440 Speaker 2: to help her by making her more reliable, relatable, But 111 00:08:11,640 --> 00:08:14,320 Speaker 2: what she's forcing her to do, sadly is double down 112 00:08:14,320 --> 00:08:16,240 Speaker 2: on the line, and that leads to Trump's weekend. We'll 113 00:08:16,240 --> 00:08:17,040 Speaker 2: get to them out the. 114 00:08:17,000 --> 00:08:21,680 Speaker 1: Worst president, the worst vice president in the history of our. 115 00:08:21,600 --> 00:08:23,280 Speaker 8: Question, the Michael Ferry. 116 00:08:23,360 --> 00:08:32,040 Speaker 2: We can't afford four more years of this, so MSNBC, 117 00:08:32,080 --> 00:08:38,280 Speaker 2: which is all in for Kamala Harris, especially Stephanie Rule 118 00:08:39,320 --> 00:08:43,439 Speaker 2: after the question arises. Look, nobody really cares if Kamala 119 00:08:43,440 --> 00:08:47,440 Speaker 2: Harris worked it McDonald's or not. That's why her lying 120 00:08:47,559 --> 00:08:51,640 Speaker 2: about it is so creepy. But if she did lie 121 00:08:51,679 --> 00:08:58,040 Speaker 2: about it, that's important because it speaks to character. We 122 00:08:58,160 --> 00:09:01,719 Speaker 2: teach our children not to lie. Now, look, if your 123 00:09:01,720 --> 00:09:05,320 Speaker 2: wife says, does this dress make me look fat? That's 124 00:09:05,360 --> 00:09:10,480 Speaker 2: a little white lot. But it's not like somebody asked her, Hey, 125 00:09:11,840 --> 00:09:14,120 Speaker 2: everybody in the room has worked at a fast food restaurant, 126 00:09:14,240 --> 00:09:18,240 Speaker 2: have you? Yeah, And just to make people feel comfortable, 127 00:09:20,160 --> 00:09:24,960 Speaker 2: she said it out of nowhere, I got a summer job. 128 00:09:26,360 --> 00:09:35,080 Speaker 2: It was her attempt to be something that she is not. 129 00:09:36,840 --> 00:09:40,520 Speaker 2: Trump's not out there, how y'all doing, folk? I'm out 130 00:09:40,520 --> 00:09:43,440 Speaker 2: here shocking and dive and I'm poe like you els 131 00:09:43,880 --> 00:09:50,160 Speaker 2: vote for me. Trump was born wealthy or born well 132 00:09:50,200 --> 00:09:55,360 Speaker 2: to do, and he makes no bones about that. But 133 00:09:55,520 --> 00:10:00,719 Speaker 2: he loves working people. You can see it. You can 134 00:10:00,720 --> 00:10:03,360 Speaker 2: see it in his eyes. You can see it long 135 00:10:03,400 --> 00:10:06,600 Speaker 2: before he was in politics. You can see how much 136 00:10:06,679 --> 00:10:13,360 Speaker 2: he loves the grit of people, and people can feel that. 137 00:10:14,960 --> 00:10:18,360 Speaker 2: You know, I've always had a rule, if my dog 138 00:10:18,400 --> 00:10:21,440 Speaker 2: doesn't trust you, you're an untrustworthy person, because the dogs 139 00:10:21,480 --> 00:10:28,760 Speaker 2: always have a sense. So back to it, Kamala lying 140 00:10:28,840 --> 00:10:32,480 Speaker 2: about this is a bigger issue than whether or not 141 00:10:32,679 --> 00:10:37,120 Speaker 2: she ever served fries or milkshakes or you know, did 142 00:10:37,120 --> 00:10:42,360 Speaker 2: a bone que que. It is about why she lies, 143 00:10:43,240 --> 00:10:48,160 Speaker 2: because that is important. So MSNBC Stephanie Rule is trying 144 00:10:48,320 --> 00:10:51,240 Speaker 2: to make her relatable. She's trying to get her over 145 00:10:51,280 --> 00:10:54,360 Speaker 2: the finish line. This is Bill Clinton trying to help 146 00:10:54,440 --> 00:10:58,680 Speaker 2: Hillary in two thousand and eight when she loses in 147 00:10:58,720 --> 00:11:02,720 Speaker 2: the primary to Barack Obama. He was trying so hard 148 00:11:03,000 --> 00:11:06,280 Speaker 2: to make Hillary relatable and he just couldn't do it. 149 00:11:05,800 --> 00:11:08,560 Speaker 2: It's what ended up costing her that primary, is what 150 00:11:08,880 --> 00:11:11,920 Speaker 2: ended up costing her the election in twenty sixteen. But 151 00:11:12,120 --> 00:11:17,319 Speaker 2: when Stephanie Rule does that what she's doing, Listen media, listen, 152 00:11:17,440 --> 00:11:21,400 Speaker 2: legacy media. You can lie all day. You can do that, 153 00:11:21,480 --> 00:11:24,160 Speaker 2: and you do and we all know you do. But 154 00:11:25,720 --> 00:11:28,719 Speaker 2: when you lie and it gets picked up outside of 155 00:11:28,760 --> 00:11:32,920 Speaker 2: your network, now you get people in trouble. You can 156 00:11:33,000 --> 00:11:37,120 Speaker 2: lie on your station, but when you create news that 157 00:11:37,280 --> 00:11:42,040 Speaker 2: gets covered elsewhere, that's when you have done more harm 158 00:11:42,120 --> 00:11:43,679 Speaker 2: than good. So here's the double. 159 00:11:43,440 --> 00:11:47,640 Speaker 7: Down, and let us recognize that when we shine the 160 00:11:47,720 --> 00:11:49,720 Speaker 7: light in moments of darkness. 161 00:11:49,960 --> 00:11:52,880 Speaker 4: First one, just a fact check because your opponent there. 162 00:11:52,880 --> 00:11:53,880 Speaker 6: Is a litter day. 163 00:11:54,160 --> 00:11:56,480 Speaker 4: There's no such thing as a little jokay fair fair 164 00:11:57,160 --> 00:11:59,640 Speaker 4: because your opponent almost every day seems to be talking 165 00:11:59,679 --> 00:12:01,439 Speaker 4: about this. So I just want to ask you yes 166 00:12:01,520 --> 00:12:04,160 Speaker 4: or no, At any point in your life have you 167 00:12:04,280 --> 00:12:08,240 Speaker 4: served to all these fatties, special sauce and let us cheese, 168 00:12:08,400 --> 00:12:11,160 Speaker 4: Pat his onions on a same seed, but looking at 169 00:12:11,160 --> 00:12:13,800 Speaker 4: a McDonald's. Yes or no, that's it I have Okay, 170 00:12:14,120 --> 00:12:16,839 Speaker 4: Now the other job, it was not a small. 171 00:12:16,679 --> 00:12:21,840 Speaker 2: Job like I do tries. I mean, you know, so 172 00:12:22,600 --> 00:12:26,079 Speaker 2: this was supposed to be her saying there is no 173 00:12:26,200 --> 00:12:31,120 Speaker 2: small job. I don't look down on the people who 174 00:12:31,160 --> 00:12:35,920 Speaker 2: scooped the fries. Well, let me tell you something. Tim 175 00:12:36,000 --> 00:12:39,839 Speaker 2: Watz can say he cares about veterans, but his case 176 00:12:39,880 --> 00:12:45,959 Speaker 2: of stolen valor, which is now documented, nothing is more 177 00:12:46,280 --> 00:12:52,559 Speaker 2: insulting to a combat veteran than someone else, even if 178 00:12:52,559 --> 00:12:56,960 Speaker 2: they were the uniform. Claiming to be a combat veteran 179 00:12:57,000 --> 00:13:02,560 Speaker 2: when you're not, claim to have worked at McDonald's when 180 00:13:02,600 --> 00:13:07,920 Speaker 2: you didn't is not caring about the little people, which 181 00:13:08,000 --> 00:13:11,280 Speaker 2: is how that was designed to come across. But she 182 00:13:11,400 --> 00:13:16,480 Speaker 2: messed up by picking McDonald's. She played into Donald Trump's hands. 183 00:13:17,559 --> 00:13:19,640 Speaker 2: Do I need to remind you of a commercial back 184 00:13:19,679 --> 00:13:21,640 Speaker 2: in two thousand and two, long before he was a 185 00:13:21,679 --> 00:13:24,640 Speaker 2: candidate for office. I don't know how you do it, 186 00:13:25,160 --> 00:13:26,000 Speaker 2: I really don't. 187 00:13:26,320 --> 00:13:29,760 Speaker 1: I put together some really impressive deals, but this thing 188 00:13:29,800 --> 00:13:33,120 Speaker 1: you pulled off, it's amazing, a big and tasty. 189 00:13:32,760 --> 00:13:33,559 Speaker 8: For just a dollar. 190 00:13:34,120 --> 00:13:39,640 Speaker 2: How do you do it. What's your secret? You're a 191 00:13:39,640 --> 00:13:40,559 Speaker 2: man A few words. 192 00:13:41,080 --> 00:13:42,080 Speaker 7: I like that you. 193 00:13:42,160 --> 00:13:44,679 Speaker 2: Got a buck. You're in luck because you can get 194 00:13:44,679 --> 00:13:47,480 Speaker 2: a delicious, beaty, big and tasty, i'm chicken sandwich and 195 00:13:47,520 --> 00:13:50,080 Speaker 2: lots of your other favorites. I McDonald's dollarakeing. 196 00:13:49,720 --> 00:13:53,000 Speaker 1: Every day together, Grimace, we could own this town. 197 00:13:53,400 --> 00:13:58,559 Speaker 2: That's twenty two years ago. So when Kamala Harris claimed 198 00:13:58,840 --> 00:14:01,800 Speaker 2: she had a summer job at McDonald's. 199 00:14:01,360 --> 00:14:02,040 Speaker 3: Think about it. 200 00:14:02,160 --> 00:14:13,199 Speaker 7: Two middle class kids want a daughter of Oakland, California. 201 00:14:11,360 --> 00:14:12,880 Speaker 4: Who was raised. 202 00:14:12,520 --> 00:14:15,959 Speaker 3: By a working mother. I had a summer job at McDonald's. 203 00:14:17,800 --> 00:14:23,640 Speaker 2: You're a liar. President Trump knew she was lying. He 204 00:14:23,720 --> 00:14:30,840 Speaker 2: knew it, and I think the reason he knew it 205 00:14:30,880 --> 00:14:35,040 Speaker 2: is because a major newspaper was doing a story that 206 00:14:35,040 --> 00:14:36,040 Speaker 2: that was a lie. 207 00:14:36,480 --> 00:14:39,360 Speaker 1: I always get criticized because they agreed that up to 208 00:14:39,480 --> 00:14:41,440 Speaker 1: But why would I bring it up so much? Because 209 00:14:41,440 --> 00:14:45,120 Speaker 1: it's so simple. It's not a horrible plot. It's not 210 00:14:45,280 --> 00:14:47,520 Speaker 1: a complex thing that people get bored. 211 00:14:47,280 --> 00:14:48,120 Speaker 2: With, Uncle Sam. 212 00:14:48,440 --> 00:14:52,440 Speaker 1: It's just basically, she said she worked so hard she 213 00:14:52,600 --> 00:14:55,920 Speaker 1: sweated over french fries at McDonald's, and. 214 00:14:55,840 --> 00:14:56,960 Speaker 2: She never worked there. 215 00:14:57,960 --> 00:15:01,440 Speaker 1: It turned out to be a lie, and the fake 216 00:15:01,560 --> 00:15:03,720 Speaker 1: news doesn't want to talk about it, although I heard 217 00:15:03,760 --> 00:15:07,200 Speaker 1: a major newspaper is doing a big story on it. 218 00:15:07,200 --> 00:15:09,240 Speaker 1: It's a lie, It's a total lie. She never worked 219 00:15:09,240 --> 00:15:13,040 Speaker 1: at McDonald's, but she lies about everything, and we can't 220 00:15:13,080 --> 00:15:15,200 Speaker 1: let her get into office. And that's why I'm a 221 00:15:15,240 --> 00:15:17,160 Speaker 1: little bit rougher than I would normally be. 222 00:15:20,160 --> 00:15:25,200 Speaker 2: This turned into President Trump going on to Fox and 223 00:15:25,240 --> 00:15:27,760 Speaker 2: Friends and telling them he was going to work at 224 00:15:27,760 --> 00:15:31,800 Speaker 2: a McDonald's. Now, what Trump does is very clever. He 225 00:15:31,920 --> 00:15:37,960 Speaker 2: uses these rallies as a test market. You know, national 226 00:15:38,120 --> 00:15:41,320 Speaker 2: companies before they roll out a product, they'll try a 227 00:15:41,360 --> 00:15:44,600 Speaker 2: product in one market to see how. He does this 228 00:15:44,680 --> 00:15:48,800 Speaker 2: with ideas. So he started saying, I'm a good work 229 00:15:48,840 --> 00:15:52,600 Speaker 2: at McDonald's. And he saw that yesterday was going to 230 00:15:52,680 --> 00:15:55,520 Speaker 2: be big. And that's why Bird, I'll. 231 00:15:55,360 --> 00:15:59,200 Speaker 6: Get her a McDonald's Amber Michael Berry, I'll get her surprise. 232 00:16:01,840 --> 00:16:02,080 Speaker 8: Love. 233 00:16:04,440 --> 00:16:06,240 Speaker 2: For those of you that are new to the show, 234 00:16:06,360 --> 00:16:08,320 Speaker 2: and that's a lot of you, because we just went 235 00:16:08,400 --> 00:16:13,480 Speaker 2: syndicated a few weeks ago, and I fair you will 236 00:16:14,360 --> 00:16:17,240 Speaker 2: note in the coming years, and I hope you're with us, 237 00:16:18,400 --> 00:16:21,600 Speaker 2: you will note that I don't talk about politics as 238 00:16:21,720 --> 00:16:24,720 Speaker 2: much as we are right now. I talk about culture. 239 00:16:25,000 --> 00:16:28,640 Speaker 2: I talk about adoption, it's very important to me. I 240 00:16:28,680 --> 00:16:33,160 Speaker 2: talk about parenting, and I talk about our veterans, our 241 00:16:33,600 --> 00:16:37,840 Speaker 2: first responders, talk a lot about business and personal health. 242 00:16:37,920 --> 00:16:41,320 Speaker 2: These are things that I think are important. And I 243 00:16:41,360 --> 00:16:44,400 Speaker 2: always say that when I start talking politics, you'll know 244 00:16:45,080 --> 00:16:48,480 Speaker 2: that's the time that this is important. It's voting time. 245 00:16:49,560 --> 00:16:54,920 Speaker 2: We started today early voting in Texas for that manner. 246 00:16:55,920 --> 00:17:01,440 Speaker 2: Early voting started today in Alaska, Arkansas, Colorado, connetic Could, Idaho, 247 00:17:01,560 --> 00:17:05,840 Speaker 2: and South Carolina and some counties not all in Florida. 248 00:17:08,040 --> 00:17:12,600 Speaker 2: This is when it's important. So for me to focus 249 00:17:12,640 --> 00:17:16,960 Speaker 2: on this McDonald's story, which I did this morning and 250 00:17:17,200 --> 00:17:21,000 Speaker 2: I will much of today. And we need to understand, 251 00:17:21,520 --> 00:17:25,360 Speaker 2: I'm not bored or lack things to talk about. When 252 00:17:25,400 --> 00:17:28,560 Speaker 2: you go back and talk about a campaign years later, 253 00:17:29,560 --> 00:17:35,080 Speaker 2: there are little things that can turn an election. This 254 00:17:35,280 --> 00:17:38,359 Speaker 2: McDonald's story right now now, I'm not going to predict 255 00:17:38,400 --> 00:17:41,840 Speaker 2: it's going to be the most important thing, because my goodness, 256 00:17:42,760 --> 00:17:47,760 Speaker 2: the president's been shot in the head recently, and most 257 00:17:47,760 --> 00:17:51,040 Speaker 2: people have forgotten that, and that alone would have been 258 00:17:51,200 --> 00:17:53,440 Speaker 2: the most important thing to happen in a two or 259 00:17:53,480 --> 00:18:04,280 Speaker 2: three year period before this story connects across to pull platforms, ages, demographics. 260 00:18:05,680 --> 00:18:09,240 Speaker 2: It connects on a very deep level, much deeper than 261 00:18:09,240 --> 00:18:14,880 Speaker 2: the surface of the story. So Trump knew he had something, 262 00:18:14,960 --> 00:18:19,080 Speaker 2: and he had been teasing this out there before he 263 00:18:19,119 --> 00:18:21,000 Speaker 2: did it because he didn't want it to flop here. 264 00:18:21,040 --> 00:18:27,720 Speaker 2: He was on Fox and Friends. Either today or tomorrow. 265 00:18:27,800 --> 00:18:29,960 Speaker 2: You're going to McDonald's. You're gonna be working the friar. 266 00:18:30,040 --> 00:18:32,359 Speaker 2: Are you gonna wear the paper hat. I'm gonna do everything. 267 00:18:32,400 --> 00:18:33,840 Speaker 2: I tell you what you're gonna do. 268 00:18:33,840 --> 00:18:36,960 Speaker 5: A friend of mine, I'm gonna do it McDonald's simpless. 269 00:18:37,400 --> 00:18:40,399 Speaker 2: Oh, I'm going because she lied. You don't think she 270 00:18:40,480 --> 00:18:41,600 Speaker 2: ever worked at McDonald's. 271 00:18:41,680 --> 00:18:44,359 Speaker 5: I know she did. We checked it out. Unless somebody 272 00:18:44,359 --> 00:18:46,240 Speaker 5: comes up with out. We checked it out. They said 273 00:18:46,280 --> 00:18:48,679 Speaker 5: she never worked here. She even picked it stewer. We 274 00:18:48,720 --> 00:18:51,439 Speaker 5: went to the manager. The manager's been there forever. Do 275 00:18:51,440 --> 00:18:53,360 Speaker 5: you remember, No, she never worked here. 276 00:18:53,440 --> 00:18:53,679 Speaker 9: They know. 277 00:18:54,160 --> 00:18:56,560 Speaker 2: Okay, So will you wear the paper hat you want? 278 00:18:56,560 --> 00:18:58,439 Speaker 5: And you know us stop talking about it the press. 279 00:18:58,880 --> 00:19:01,240 Speaker 5: If I said I worked it McDonald's and it turned 280 00:19:01,280 --> 00:19:04,600 Speaker 5: out not to be true. The front page of that 281 00:19:04,760 --> 00:19:07,800 Speaker 5: stupid New York Times, the worst paper, it is the 282 00:19:07,840 --> 00:19:11,400 Speaker 5: worst rag. The New York Times is the worst bustess. 283 00:19:11,640 --> 00:19:14,280 Speaker 5: They would have me front page for months. 284 00:19:14,920 --> 00:19:15,560 Speaker 2: Nobody I can. 285 00:19:15,880 --> 00:19:17,240 Speaker 5: I can't get any That's what I. 286 00:19:17,160 --> 00:19:18,679 Speaker 2: Have to do it myself. That's right. Do you to 287 00:19:18,680 --> 00:19:21,199 Speaker 2: get trained and you go to make French frig get well. 288 00:19:21,200 --> 00:19:22,800 Speaker 2: I don't know how much the training will be. Not 289 00:19:22,880 --> 00:19:30,040 Speaker 2: too much, salt, not gonna be. Oh so Trump can 290 00:19:30,080 --> 00:19:37,000 Speaker 2: win the White House without winning Pennsylvania. Kamala cannot. So 291 00:19:37,359 --> 00:19:43,159 Speaker 2: her her window is closing. She has, according to the 292 00:19:43,160 --> 00:19:48,520 Speaker 2: oddsmaker that is probably most trusted on this particular aspect. 293 00:19:48,680 --> 00:19:52,639 Speaker 2: If she loses Pennsylvania, she has only a seven percent 294 00:19:52,760 --> 00:19:56,280 Speaker 2: chance of winning. She has to run the table that 295 00:19:56,359 --> 00:20:02,439 Speaker 2: means Wisconsin, Michigan, North Carolina, and she's trailing in all 296 00:20:02,480 --> 00:20:05,240 Speaker 2: of those right now. It is so bad for her 297 00:20:05,520 --> 00:20:09,679 Speaker 2: right now that Casey the senator, the Democrat senator in 298 00:20:09,720 --> 00:20:14,920 Speaker 2: Pennsylvania is running ads. He's running statewide in Pennsylvania, which 299 00:20:14,920 --> 00:20:18,480 Speaker 2: she is as well. He's running ads hugging Trump. I 300 00:20:18,560 --> 00:20:23,480 Speaker 2: say hugging, and not figurative, not literally, but figuratively. He's 301 00:20:23,560 --> 00:20:26,760 Speaker 2: running ads about how well he gets along with Trump 302 00:20:27,200 --> 00:20:30,600 Speaker 2: and how Trump's plan will be his plan. That's also 303 00:20:30,680 --> 00:20:36,960 Speaker 2: true of the Democrat senator in Wisconsin, Tammy Baldwin. That's 304 00:20:37,000 --> 00:20:41,160 Speaker 2: also true of Sharrod Brown in the Democrat senator from Ohio. 305 00:20:41,560 --> 00:20:46,640 Speaker 2: All three of them statewide are now hugging Trump. They 306 00:20:46,640 --> 00:20:50,840 Speaker 2: are promoting Trump, praising Trump as a way to say 307 00:20:50,840 --> 00:20:54,000 Speaker 2: to moderate voters, I'm not one of those crazy Democrats. 308 00:20:54,640 --> 00:20:58,160 Speaker 2: I can work with Trump. That tells you what their 309 00:20:58,280 --> 00:21:02,879 Speaker 2: polls are telling you in that state. John Tester, the 310 00:21:02,880 --> 00:21:09,160 Speaker 2: Democrat in Montana, has said when they said why are 311 00:21:09,240 --> 00:21:12,400 Speaker 2: you not campaigning for Kamala, he said, because I want 312 00:21:12,400 --> 00:21:17,359 Speaker 2: to win my election. He's toast. Casey won't be seen 313 00:21:17,440 --> 00:21:24,119 Speaker 2: in Pennsylvania. The elected senator in Pennsylvania, who is a Democrat, 314 00:21:24,200 --> 00:21:29,480 Speaker 2: will not campaign with her. Josh Shapiro, the governor of Pennsylvania, 315 00:21:29,480 --> 00:21:36,639 Speaker 2: who's a Democrat, will not defend her corporate tax increase, 316 00:21:37,040 --> 00:21:40,440 Speaker 2: her death tax increase. He said, you'll have to ask her. 317 00:21:40,480 --> 00:21:47,240 Speaker 2: He can't defend it. So Trump shows up. Pennsylvania is 318 00:21:47,720 --> 00:21:50,800 Speaker 2: the swing state that they're throwing all this at. So 319 00:21:51,840 --> 00:21:56,960 Speaker 2: Sunday morning, her birthday yesterday, he arrives in Bucks County, Pennsylvania. 320 00:21:58,160 --> 00:22:01,320 Speaker 2: And not only did he arrive, you know you see 321 00:22:01,320 --> 00:22:03,359 Speaker 2: these goofy tours, people tap and they put on the 322 00:22:03,359 --> 00:22:06,920 Speaker 2: plastic or hard hat and it looks so dumb. Oh 323 00:22:07,040 --> 00:22:10,600 Speaker 2: my goodness. He owned the moment. Here's what he said. 324 00:22:10,800 --> 00:22:13,159 Speaker 6: I'm looking for a job, and I've always wanted to 325 00:22:13,200 --> 00:22:14,720 Speaker 6: work at McDonald but I never did. 326 00:22:14,880 --> 00:22:17,520 Speaker 2: I'm running against somebody that said she did. But it 327 00:22:17,520 --> 00:22:20,199 Speaker 2: turned out to be a totally funny story. So let 328 00:22:20,400 --> 00:22:20,800 Speaker 2: you talk. 329 00:22:20,960 --> 00:22:23,399 Speaker 1: But that's that good looking through the follow everybody. 330 00:22:25,080 --> 00:22:27,520 Speaker 2: I had a lot of fun here. Everybody, I don't think. 331 00:22:27,560 --> 00:22:33,639 Speaker 2: Here's Evan. So they had him at the front. That 332 00:22:33,800 --> 00:22:36,359 Speaker 2: was the plan was he'd be at the front, but 333 00:22:36,400 --> 00:22:41,720 Speaker 2: Trump wanted the froestation. He loves McDonald's fries. I'm not 334 00:22:41,760 --> 00:22:45,919 Speaker 2: even McDonald's fan, but I love their fries. So he 335 00:22:46,000 --> 00:22:49,879 Speaker 2: goes over to the frestation. He understood that moment, and truthfully, 336 00:22:50,000 --> 00:22:52,439 Speaker 2: deep down he probably kind of really really on a 337 00:22:52,440 --> 00:22:54,600 Speaker 2: personal level, wanted to work frestation. 338 00:22:55,440 --> 00:22:57,199 Speaker 8: I got it that time. Er, bring that one up. 339 00:22:57,200 --> 00:23:16,440 Speaker 8: I'm gonna take care of these okay. 340 00:23:09,280 --> 00:23:26,240 Speaker 9: Right there right there, yet. 341 00:23:19,520 --> 00:23:21,800 Speaker 2: Give it that right far right, hang it right up there. 342 00:23:22,680 --> 00:23:24,400 Speaker 8: And then you want to do this song over here? 343 00:23:24,880 --> 00:23:26,280 Speaker 8: I did these ones that raise they're good. You just 344 00:23:26,280 --> 00:23:27,280 Speaker 8: gotta do that one right there. 345 00:23:27,359 --> 00:23:28,920 Speaker 2: So I grabs that give extra. 346 00:23:30,560 --> 00:23:33,680 Speaker 8: Yep, look good right there, and then we're gonna grab 347 00:23:33,720 --> 00:23:36,159 Speaker 8: the surprise group right here, put it into there and 348 00:23:36,280 --> 00:23:37,640 Speaker 8: give him its worm that way. 349 00:23:40,280 --> 00:23:44,679 Speaker 2: Okay, where's that little thing. While he's working at the 350 00:23:44,680 --> 00:23:51,800 Speaker 2: frestation getting all this goodwill, he reminds people that Kamala Lotte. See. 351 00:23:52,240 --> 00:23:55,199 Speaker 2: He stays on message. 352 00:23:55,760 --> 00:23:58,879 Speaker 1: Everybody, that's a big one out there, that's up a 353 00:23:58,920 --> 00:23:59,520 Speaker 1: big crowd. 354 00:23:59,600 --> 00:24:01,639 Speaker 8: Huh, mister Trump, what did you feel it was important 355 00:24:01,640 --> 00:24:02,320 Speaker 8: to come here? Job? 356 00:24:03,640 --> 00:24:06,840 Speaker 1: I love McDonald's, I love jobs. I like to seek 357 00:24:06,880 --> 00:24:10,760 Speaker 1: good jobs, and I think it's inappropriate when somebody puts 358 00:24:10,800 --> 00:24:12,760 Speaker 1: down all over the place. 359 00:24:12,560 --> 00:24:14,200 Speaker 5: That she worked at McDonald It was a big part 360 00:24:14,240 --> 00:24:16,200 Speaker 5: of her resume that she worked at McDonald's. 361 00:24:16,240 --> 00:24:17,439 Speaker 2: Have tough a job, it was. 362 00:24:18,480 --> 00:24:19,880 Speaker 8: She specifically worked at the. 363 00:24:19,800 --> 00:24:22,159 Speaker 1: French fry for it makes the French fries. 364 00:24:23,040 --> 00:24:24,120 Speaker 8: She talked about the heat. 365 00:24:24,240 --> 00:24:26,680 Speaker 2: It was so tough. She never worked at McDonald's. 366 00:24:26,720 --> 00:24:29,639 Speaker 1: McDonald's just concurved that again by the never. 367 00:24:29,560 --> 00:24:30,800 Speaker 9: Worked at McDonald. 368 00:24:30,400 --> 00:24:39,879 Speaker 2: Donald's is a master surprise. A lot of the President 369 00:24:39,920 --> 00:24:43,800 Speaker 2: Trump takes off his jacket for those points there. She's 370 00:24:43,840 --> 00:24:49,080 Speaker 2: in his trademark blue suit red time takes office jacket 371 00:24:49,119 --> 00:24:57,400 Speaker 2: and puts on the apron. The apron. You know Benjamin Franklin, 372 00:24:58,640 --> 00:25:02,040 Speaker 2: who was one one of my favorites of the founders. 373 00:25:02,760 --> 00:25:08,960 Speaker 2: Franklin didn't have the education that Jefferson particularly had. But 374 00:25:09,080 --> 00:25:14,440 Speaker 2: with Jefferson and Hamilton and Madison and Monroe, you had 375 00:25:14,560 --> 00:25:24,200 Speaker 2: very learned men of the Academy which was prestigious academic success. 376 00:25:23,640 --> 00:25:25,080 Speaker 8: And you had. 377 00:25:24,920 --> 00:25:32,160 Speaker 2: Hamilton, who was this very pretentious, showy but brilliant man, 378 00:25:33,240 --> 00:25:38,040 Speaker 2: and Jefferson, who was revered for his mind and his 379 00:25:38,200 --> 00:25:44,440 Speaker 2: language and his turn of phrase. With Franklin, he referred 380 00:25:44,440 --> 00:25:48,639 Speaker 2: to himself as a leather apron man. And the reason 381 00:25:48,640 --> 00:25:50,399 Speaker 2: for that is Franklin ran away from home at a 382 00:25:50,400 --> 00:25:53,120 Speaker 2: young age, went to work for his brother, who at 383 00:25:53,119 --> 00:25:57,120 Speaker 2: a printing press. If I re call correctly, and Franklin 384 00:25:57,359 --> 00:26:02,199 Speaker 2: was in his mind a lowly merchant, a printer, and 385 00:26:03,000 --> 00:26:05,680 Speaker 2: he was a guy who worked with his hands. Now 386 00:26:06,000 --> 00:26:10,720 Speaker 2: worked with his hands printing pamphlets and the like. And 387 00:26:11,600 --> 00:26:18,440 Speaker 2: he developed a very uh anir of voice in which 388 00:26:18,440 --> 00:26:23,280 Speaker 2: he wrote. He would write under aliases because he was 389 00:26:23,400 --> 00:26:28,520 Speaker 2: very cheeky. He would he would ridicule the the town's 390 00:26:28,640 --> 00:26:33,960 Speaker 2: mayor who was having an affair with another woman, and 391 00:26:34,000 --> 00:26:36,399 Speaker 2: he would ridicule it under the name of you know, 392 00:26:36,440 --> 00:26:41,040 Speaker 2: one of these characters he created. Of course, he did 393 00:26:41,080 --> 00:26:45,080 Speaker 2: Poor Richard's Almanac, which which was him. He would often 394 00:26:45,160 --> 00:26:48,240 Speaker 2: use other names, and he would get into trouble because 395 00:26:48,960 --> 00:26:53,320 Speaker 2: he would go too far and he would offend powerful people, 396 00:26:54,280 --> 00:26:58,880 Speaker 2: as it turns out, Kamala Harris and Joe Biden, Barack Obama, 397 00:26:58,920 --> 00:27:04,360 Speaker 2: and these aren't the first powerful people with very thin 398 00:27:04,440 --> 00:27:07,920 Speaker 2: skin who want to censor in silence other people. This 399 00:27:07,920 --> 00:27:11,480 Speaker 2: has been going on a very long time. But Ben 400 00:27:11,560 --> 00:27:15,320 Speaker 2: Franklin referred to himself as a leather apron man, and 401 00:27:15,440 --> 00:27:20,960 Speaker 2: what that meant was, I'm not a man who. I'm 402 00:27:20,960 --> 00:27:26,440 Speaker 2: not a lawyer, I'm not a fancy well to do philanthropist. 403 00:27:27,160 --> 00:27:31,240 Speaker 2: I work for a living. The power of the apron 404 00:27:32,520 --> 00:27:38,480 Speaker 2: is conveyed and he knows this. I have always said 405 00:27:39,080 --> 00:27:43,719 Speaker 2: that Trump has the instinct of an animal in the wild. 406 00:27:44,800 --> 00:27:47,560 Speaker 2: They know who's out to harm them, and they know 407 00:27:47,600 --> 00:27:50,400 Speaker 2: who they can harm. They know the difference between predator 408 00:27:50,440 --> 00:27:55,720 Speaker 2: and prey. And he has these instincts that nobody else 409 00:27:55,880 --> 00:27:59,399 Speaker 2: has the way he does. So he takes off his jacket, 410 00:27:59,440 --> 00:28:01,679 Speaker 2: he puts on the apron and he keeps that apron 411 00:28:01,720 --> 00:28:04,919 Speaker 2: on the entire time he gets over there on the 412 00:28:04,960 --> 00:28:08,280 Speaker 2: fries because he knows that's important. He also knows it's 413 00:28:08,320 --> 00:28:12,000 Speaker 2: important that we get a shot of him at the 414 00:28:12,119 --> 00:28:18,520 Speaker 2: drive through window. Every American can identify with this, because 415 00:28:18,720 --> 00:28:23,240 Speaker 2: twenty million Americans have worked at McDonald's, but most of 416 00:28:23,320 --> 00:28:28,520 Speaker 2: us don't have the view out of the drive through window. 417 00:28:29,280 --> 00:28:36,320 Speaker 2: We have the view looking in. Right. So Trump did McDonald's. 418 00:28:36,320 --> 00:28:41,160 Speaker 2: I think Kamala did five guys, but Trump did McDonald's, 419 00:28:41,960 --> 00:28:45,720 Speaker 2: and he made sure to create the moment. There's nobody 420 00:28:45,760 --> 00:28:48,920 Speaker 2: on his campaign saying get to the drive through window 421 00:28:49,000 --> 00:28:53,120 Speaker 2: now and wave it people from there and taunt the 422 00:28:53,160 --> 00:28:56,240 Speaker 2: fake media, which of course he did both because he 423 00:28:56,320 --> 00:29:00,400 Speaker 2: loves it, and that's his way of constantly delegitimizing them 424 00:29:00,640 --> 00:29:05,160 Speaker 2: as the frauds that they are. So he goes to 425 00:29:05,240 --> 00:29:09,800 Speaker 2: the drive through window and he works the window. Okay, 426 00:29:09,960 --> 00:29:16,920 Speaker 2: he's a nice people made him. Look at this guy. 427 00:29:16,960 --> 00:29:19,960 Speaker 2: I'm not gonna mess with him. How you doing fantastic? 428 00:29:20,040 --> 00:29:24,479 Speaker 5: God knows, but you boy, and you gave me hella right, 429 00:29:26,000 --> 00:29:27,040 Speaker 5: So this is document. 430 00:29:27,600 --> 00:29:30,040 Speaker 1: Okay, all right, you don't have any kind, don't eat 431 00:29:30,120 --> 00:29:30,480 Speaker 1: too much? 432 00:29:30,600 --> 00:29:33,040 Speaker 6: Right, well, every day's acums. 433 00:29:33,080 --> 00:29:35,640 Speaker 2: You take one, have a good time. 434 00:29:36,640 --> 00:29:37,240 Speaker 9: Thank you. 435 00:29:38,480 --> 00:29:42,920 Speaker 2: One of the customers asked President Trump, she's from Brazil, 436 00:29:43,680 --> 00:29:49,480 Speaker 2: and she says powerful words. Listen to this. A lot 437 00:29:49,480 --> 00:29:52,760 Speaker 2: of fun here, everybody. Oh my god, I don't thank 438 00:29:52,800 --> 00:29:53,080 Speaker 2: you news. 439 00:29:53,920 --> 00:29:58,560 Speaker 5: Hello, everybody, I know this is compliments of Trump. 440 00:29:58,640 --> 00:30:01,280 Speaker 2: Okay, yes, the president. 441 00:30:01,720 --> 00:30:04,600 Speaker 3: Please don't let the United States become brazille my native persill. 442 00:30:04,880 --> 00:30:05,960 Speaker 6: We'll keep it good. 443 00:30:06,040 --> 00:30:08,720 Speaker 2: Please, You're gonna make it better than ever. Okay, thank you, 444 00:30:08,920 --> 00:30:23,800 Speaker 2: thank you a pleasure. Yes, you're so thank you. So next, 445 00:30:24,240 --> 00:30:30,520 Speaker 2: President Trump says, hey, your order is on me, and 446 00:30:30,560 --> 00:30:33,200 Speaker 2: then he turns to the woman working with him in 447 00:30:33,200 --> 00:30:36,480 Speaker 2: the drive to and asks if he can do that. Okay, 448 00:30:36,600 --> 00:30:43,280 Speaker 2: let's say you believe this. He's a maga guy all 449 00:30:43,320 --> 00:30:45,880 Speaker 2: the way. Okay, So for his first order. 450 00:30:46,160 --> 00:30:46,360 Speaker 8: Yep. 451 00:30:47,920 --> 00:30:49,400 Speaker 2: Well that's a good looking group. 452 00:30:49,480 --> 00:30:56,200 Speaker 1: Hello, everybody, This is not a normal situation, isn't huh? 453 00:30:57,040 --> 00:31:00,200 Speaker 2: What a good looking family? How did you produce as 454 00:31:00,040 --> 00:31:00,800 Speaker 2: good looking kids? 455 00:31:01,080 --> 00:31:01,200 Speaker 8: Here? 456 00:31:01,400 --> 00:31:04,600 Speaker 5: They look like they look like how are you nice 457 00:31:04,640 --> 00:31:07,200 Speaker 5: to see you? Yes, thank you, man, appreciate, thank you 458 00:31:07,320 --> 00:31:09,640 Speaker 5: very much, thank you. 459 00:31:10,360 --> 00:31:12,320 Speaker 2: And there will be no charge. Trump is thank for 460 00:31:12,400 --> 00:31:12,720 Speaker 2: it is that. 461 00:31:12,800 --> 00:31:15,120 Speaker 9: Okay, oh you're. 462 00:31:14,960 --> 00:31:16,120 Speaker 2: Going to some extra stuff. 463 00:31:16,360 --> 00:31:19,280 Speaker 5: Okay, this is this is all I'm Trump. 464 00:31:19,360 --> 00:31:22,440 Speaker 2: I'm allowed to do that, right Yeah, shock a picture. 465 00:31:22,800 --> 00:31:24,760 Speaker 2: Everything you said it better. But it's going to be 466 00:31:24,840 --> 00:31:26,600 Speaker 2: the best you ever. I made it myself. 467 00:31:28,560 --> 00:31:30,240 Speaker 8: Thank you man, Thank you, thank you. 468 00:31:30,560 --> 00:31:31,240 Speaker 2: Have a good time. 469 00:31:32,280 --> 00:31:33,000 Speaker 6: Have a good time. 470 00:31:33,080 --> 00:31:39,800 Speaker 2: That's that's great. And ok okay, next car. Do you 471 00:31:39,960 --> 00:31:41,200 Speaker 2: like them both at the same time? 472 00:31:41,640 --> 00:31:44,320 Speaker 8: Yes, how are you here? 473 00:31:44,320 --> 00:31:45,160 Speaker 2: A good looking guy? 474 00:31:46,920 --> 00:31:47,320 Speaker 8: We love you. 475 00:31:47,440 --> 00:31:47,720 Speaker 5: Give me on. 476 00:31:48,040 --> 00:31:49,880 Speaker 3: Thank you very much, Thank you very much. 477 00:31:50,040 --> 00:31:52,160 Speaker 8: I will I promise, sweet you. 478 00:31:52,360 --> 00:31:53,040 Speaker 6: Thank you very much. 479 00:31:54,040 --> 00:31:54,480 Speaker 9: That's on me. 480 00:31:54,720 --> 00:32:00,200 Speaker 2: Okay, have a good time. Thank you very much. The 481 00:32:00,240 --> 00:32:00,800 Speaker 2: wed has. 482 00:32:02,280 --> 00:32:03,680 Speaker 7: So here is. 483 00:32:05,160 --> 00:32:09,000 Speaker 2: One of those moments that is so powerful. 484 00:32:10,920 --> 00:32:11,280 Speaker 6: A guy. 485 00:32:11,480 --> 00:32:16,400 Speaker 2: Thanks President Trump for being accessible to the ordinary man, 486 00:32:17,280 --> 00:32:21,200 Speaker 2: to the ordinary person. This is something that is hard 487 00:32:21,280 --> 00:32:25,200 Speaker 2: to quantify. It's a feeling. But I hear this from 488 00:32:25,320 --> 00:32:30,160 Speaker 2: so many of you. You feel that President Trump cares 489 00:32:30,240 --> 00:32:34,120 Speaker 2: about you and people like you. And the thing that 490 00:32:34,240 --> 00:32:40,920 Speaker 2: goes unsaid is Kamala doesn't. This is incredibly important. But 491 00:32:41,080 --> 00:32:43,000 Speaker 2: I could do this all day. I wouldn't mind this, YEF. 492 00:32:44,760 --> 00:32:46,280 Speaker 8: I think I might come back and do it again 493 00:32:54,120 --> 00:32:56,520 Speaker 8: to many posits, but all many people like us. 494 00:32:57,840 --> 00:33:02,440 Speaker 2: I mean, I can see you, pray for you die, 495 00:33:02,760 --> 00:33:04,600 Speaker 2: and you want the night of person we want to 496 00:33:04,640 --> 00:33:08,320 Speaker 2: be the president than my own. Thank you, thank you 497 00:33:08,480 --> 00:33:16,480 Speaker 2: very much. We will look back at this point unless 498 00:33:16,600 --> 00:33:19,000 Speaker 2: there will be more things that happen. Trump getting shot 499 00:33:19,000 --> 00:33:21,160 Speaker 2: in the head and Trump working at McDonald's are the 500 00:33:21,320 --> 00:33:22,760 Speaker 2: true biggest days of this show. 501 00:33:24,000 --> 00:33:25,680 Speaker 6: Yeah, yeah,