1 00:00:03,240 --> 00:00:09,160 Speaker 1: It's that time, time, time, time, luck and load. 2 00:00:10,520 --> 00:00:12,680 Speaker 2: So Michael very Show is. 3 00:00:12,520 --> 00:00:13,120 Speaker 3: On the air. 4 00:00:13,320 --> 00:00:15,600 Speaker 4: Had a summer job at McDonald's. 5 00:00:15,600 --> 00:00:18,360 Speaker 1: Sly, it's a total I she never worked at McDonald's, 6 00:00:18,360 --> 00:00:20,040 Speaker 1: but she lies about everything. 7 00:00:20,160 --> 00:00:20,840 Speaker 4: I'm love me. 8 00:00:23,200 --> 00:00:29,720 Speaker 2: The nice people made him loving together, Grimace. We could 9 00:00:29,720 --> 00:00:35,919 Speaker 2: own this town. It's a happy birthday, Gama. Maybe I'll 10 00:00:35,920 --> 00:00:36,680 Speaker 2: get her surprise. 11 00:00:37,000 --> 00:00:39,360 Speaker 5: I love you, But this guy, I'm not gonna mess 12 00:00:39,400 --> 00:00:40,480 Speaker 5: with him. 13 00:00:40,760 --> 00:00:42,480 Speaker 2: But I could do this all that. I wouldn't mind 14 00:00:42,479 --> 00:00:42,880 Speaker 2: this show. 15 00:00:45,800 --> 00:00:46,479 Speaker 6: I love you. 16 00:00:46,800 --> 00:00:49,919 Speaker 2: No fortunate. 17 00:00:54,960 --> 00:01:01,200 Speaker 3: I've not worked for fifteen minutes more than Kabbala. So 18 00:01:02,640 --> 00:01:06,000 Speaker 3: some people who are new to politics or don't understand 19 00:01:06,080 --> 00:01:07,039 Speaker 3: how the game is played. 20 00:01:07,040 --> 00:01:09,200 Speaker 5: And it is a game. Let's make that very clear. 21 00:01:09,880 --> 00:01:13,840 Speaker 3: The stakes are high because whoever wins the game gets 22 00:01:13,880 --> 00:01:14,360 Speaker 3: to govern. 23 00:01:15,080 --> 00:01:17,080 Speaker 5: But make no mistake, it is a game. 24 00:01:18,200 --> 00:01:20,919 Speaker 3: This part of the year is known as the silly 25 00:01:20,959 --> 00:01:24,760 Speaker 3: season for a reason because this is the moment that 26 00:01:24,880 --> 00:01:27,640 Speaker 3: everybody is calling the other person a bad person and 27 00:01:28,040 --> 00:01:31,480 Speaker 3: showing their picture kind of blacked out and maybe. 28 00:01:31,200 --> 00:01:33,840 Speaker 5: Horns coming out of them and they're terrible and all that. 29 00:01:35,160 --> 00:01:40,960 Speaker 3: I tell people all the time, never believe anything that 30 00:01:41,080 --> 00:01:45,920 Speaker 3: is said in a campaign ad from September fifteenth on. 31 00:01:47,880 --> 00:01:51,080 Speaker 3: If you have a candidate, you like, stick with that 32 00:01:51,200 --> 00:01:56,760 Speaker 3: candidate because whatever they're saying after September fifteenth is probably 33 00:01:56,800 --> 00:02:02,280 Speaker 3: a lie or a stretch. Nothing they say to you 34 00:02:03,360 --> 00:02:07,560 Speaker 3: about Donald Trump or for Texans about Ted Cruz is true. 35 00:02:08,840 --> 00:02:10,040 Speaker 5: They're just saying it. 36 00:02:10,360 --> 00:02:15,960 Speaker 3: To dupe you for the moment. And remember the people 37 00:02:16,000 --> 00:02:19,680 Speaker 3: who told you that the Hunter Biden laptop that laid 38 00:02:19,680 --> 00:02:21,760 Speaker 3: it all out there, We've never seen anything like this. 39 00:02:22,360 --> 00:02:25,320 Speaker 3: We got the president's son and all the information we 40 00:02:25,440 --> 00:02:27,400 Speaker 3: need to send him to prison and his dad to 41 00:02:27,400 --> 00:02:30,960 Speaker 3: prison on his laptop because he's such a dummy. He 42 00:02:31,120 --> 00:02:33,880 Speaker 3: left it and didn't pay his bill at the computer store. 43 00:02:35,160 --> 00:02:36,320 Speaker 2: So what do they do. 44 00:02:36,720 --> 00:02:39,480 Speaker 5: That's not true, Jedi mind trick. 45 00:02:40,720 --> 00:02:43,360 Speaker 3: That's not true. That's not his that's the Russians that 46 00:02:43,440 --> 00:02:46,880 Speaker 3: did that. That's disinformation. Twitter, because Elon didn't own it yet, 47 00:02:47,520 --> 00:02:51,400 Speaker 3: took the story down, so a lot of Americans didn't 48 00:02:51,400 --> 00:02:54,959 Speaker 3: get to know about it. The same people who told 49 00:02:55,000 --> 00:03:00,320 Speaker 3: you that was Russian disinformation later had to confess it 50 00:03:00,360 --> 00:03:04,600 Speaker 3: was a real story. One in six people who voted 51 00:03:04,639 --> 00:03:07,960 Speaker 3: for Joe Biden said that if they had known about 52 00:03:07,960 --> 00:03:09,359 Speaker 3: that story, there was a blackout. 53 00:03:09,400 --> 00:03:10,040 Speaker 5: They didn't know it. 54 00:03:10,800 --> 00:03:14,800 Speaker 3: They would have voted for Trump instead of Biden. So yeah, 55 00:03:15,560 --> 00:03:17,720 Speaker 3: those people have lied to you, and they're gonna lie 56 00:03:17,760 --> 00:03:22,120 Speaker 3: to you again. They never stop lying to you. So 57 00:03:22,200 --> 00:03:25,120 Speaker 3: what do they do? What do they do when Trump 58 00:03:25,160 --> 00:03:27,880 Speaker 3: has a moment? They know he had a moment, They 59 00:03:28,000 --> 00:03:31,679 Speaker 3: know the power of him having worked at McDonald's, they 60 00:03:31,720 --> 00:03:33,600 Speaker 3: know he's going up in the polls, He's got all 61 00:03:33,639 --> 00:03:40,400 Speaker 3: the momentum. They call it a stunt, a stunt. Hum 62 00:03:41,720 --> 00:03:44,520 Speaker 3: with all the things the Democrats have done over the years, 63 00:03:45,680 --> 00:03:49,800 Speaker 3: now all of a sudden, it's a stunt. Working at 64 00:03:49,880 --> 00:03:55,800 Speaker 3: McDonald's is a stunt. You know, Yes, it is a stunt. 65 00:03:56,040 --> 00:04:01,120 Speaker 3: Everything is a stunt, or nothing is a stunt. Trump's 66 00:04:01,120 --> 00:04:03,600 Speaker 3: connection to McDonald's goes back to being in an ad 67 00:04:03,640 --> 00:04:09,240 Speaker 3: in two thousand and two. He's been photographed with their 68 00:04:09,280 --> 00:04:13,480 Speaker 3: French fries. He's ragged about loving McDonald's. He's brought McDonald's 69 00:04:13,520 --> 00:04:15,800 Speaker 3: into the White House. But by the way, he didn't 70 00:04:15,840 --> 00:04:18,200 Speaker 3: need to have done all that to have gone and 71 00:04:18,240 --> 00:04:24,240 Speaker 3: worked there. To make the point, remember this, folks, let 72 00:04:24,279 --> 00:04:28,880 Speaker 3: me use a sports analogy. Let's use TJ. Watt, a 73 00:04:28,920 --> 00:04:34,640 Speaker 3: star defensive end for is he technically an end? He 74 00:04:34,720 --> 00:04:38,920 Speaker 3: plays like a linebacker, but whatever a star defensive player 75 00:04:39,400 --> 00:04:41,680 Speaker 3: he lines up on the line. Sorry, I guess technically 76 00:04:41,760 --> 00:04:44,520 Speaker 3: he's an edge rusher they call him now, and kind 77 00:04:44,560 --> 00:04:48,800 Speaker 3: of like Lawrence Taylor. It's hard to In the old days, 78 00:04:49,400 --> 00:04:51,240 Speaker 3: a d lineman was a big, fat guy who wasn't 79 00:04:51,320 --> 00:04:52,920 Speaker 3: very fast, but you didn't want him to get hold 80 00:04:52,960 --> 00:04:57,560 Speaker 3: of you, And a linebacker was leaner and faster, but 81 00:04:57,600 --> 00:05:00,120 Speaker 3: not nearly as big. Now you got these edge rusher 82 00:05:00,440 --> 00:05:03,920 Speaker 3: But I digress. So like JJ Watt, I wouldn't say 83 00:05:04,120 --> 00:05:07,479 Speaker 3: is he a linebacker alignment? But TJ is leaner seems 84 00:05:07,520 --> 00:05:10,359 Speaker 3: to be just as strong. That guy's a beast anyway. 85 00:05:11,040 --> 00:05:17,120 Speaker 3: Pittsburgh Steelers game last night. People study these things. At 86 00:05:17,240 --> 00:05:22,200 Speaker 3: Chiefs games where Taylor Swift is in attendance, she is 87 00:05:22,240 --> 00:05:27,560 Speaker 3: on screen an average of seven times NBC. I never 88 00:05:27,640 --> 00:05:29,479 Speaker 3: saw them put Trump on screen. 89 00:05:29,680 --> 00:05:30,160 Speaker 2: Last night. 90 00:05:31,279 --> 00:05:33,480 Speaker 3: I was watching the game with Crockett. I'd been out 91 00:05:33,480 --> 00:05:35,920 Speaker 3: of town. I'd been in Austin all weekend. My wife 92 00:05:35,960 --> 00:05:37,240 Speaker 3: and I went up to see our son who's at 93 00:05:37,240 --> 00:05:40,119 Speaker 3: the University of Texas, and i'd been out all weekend, 94 00:05:40,200 --> 00:05:44,800 Speaker 3: so I needed some father sontime. So one of our 95 00:05:44,839 --> 00:05:48,960 Speaker 3: father son activities is we watch football together. And he's 96 00:05:49,000 --> 00:05:51,279 Speaker 3: in a fantasy league, which is where you get points 97 00:05:51,320 --> 00:05:53,560 Speaker 3: for when people score or do this or do that, 98 00:05:54,080 --> 00:05:56,960 Speaker 3: and so we'll go through his players and I'll make 99 00:05:57,000 --> 00:06:01,200 Speaker 3: suggestions and he'll tell me I'm crazy, and which I 100 00:06:01,279 --> 00:06:03,880 Speaker 3: usually am because mine isn't based on data and his is. 101 00:06:04,440 --> 00:06:06,680 Speaker 5: But it's a fun. Anything you can do to spend 102 00:06:06,680 --> 00:06:08,279 Speaker 5: time with your kids, you do it. You know what 103 00:06:08,279 --> 00:06:08,680 Speaker 5: I'm talking. 104 00:06:09,839 --> 00:06:11,919 Speaker 3: So he and I were talking, but we would have 105 00:06:11,920 --> 00:06:14,800 Speaker 3: to keep looking stuff up because a friend of mine, 106 00:06:14,839 --> 00:06:17,479 Speaker 3: Tom Morstead, is the punter for the Jets. He's originally 107 00:06:17,480 --> 00:06:19,840 Speaker 3: from Houston, Heroland, then he went to the Saints. A 108 00:06:19,880 --> 00:06:22,479 Speaker 3: lot of New Orleans, our New Orleans listeners will remember 109 00:06:22,520 --> 00:06:25,800 Speaker 3: him playing for the Saints, and now he's with the Jets. 110 00:06:25,800 --> 00:06:28,320 Speaker 3: And I love Aaron Rodgers and I love the DeVante 111 00:06:28,360 --> 00:06:32,239 Speaker 3: Adams story and I want them to succeed. But anyway, 112 00:06:32,560 --> 00:06:34,760 Speaker 3: so I might have been looking at my phone when 113 00:06:34,839 --> 00:06:36,680 Speaker 3: they showed Trump because I was told he was on 114 00:06:36,760 --> 00:06:37,560 Speaker 3: screen one time. 115 00:06:38,760 --> 00:06:39,400 Speaker 2: Did you see it? 116 00:06:39,720 --> 00:06:40,520 Speaker 5: Did you watch the game? 117 00:06:41,600 --> 00:06:45,080 Speaker 3: I didn't either, but the entire crowd when he came 118 00:06:45,120 --> 00:06:50,279 Speaker 3: in starts chanting USA. So Taylor Swift, who's a political 119 00:06:50,360 --> 00:06:52,080 Speaker 3: hack and an. 120 00:06:52,040 --> 00:06:56,600 Speaker 5: Idiot, man, I say, she, okay, let me play this 121 00:06:56,600 --> 00:06:57,559 Speaker 5: because we're gonna go to break. 122 00:06:57,839 --> 00:07:02,839 Speaker 3: This is This is MSNBC calling him unwell. This is 123 00:07:02,880 --> 00:07:05,960 Speaker 3: how you know what he did was good. I mean, 124 00:07:06,200 --> 00:07:08,200 Speaker 3: if you're on his campaign, and I know you are 125 00:07:08,240 --> 00:07:08,760 Speaker 3: certainly not. 126 00:07:08,760 --> 00:07:10,240 Speaker 2: I'm not making an implication of that. 127 00:07:10,440 --> 00:07:11,760 Speaker 7: But what is the. 128 00:07:11,840 --> 00:07:14,120 Speaker 5: Logic behind us going to a McDonald's. 129 00:07:14,120 --> 00:07:14,760 Speaker 2: I mean, we know the. 130 00:07:14,680 --> 00:07:17,520 Speaker 4: Guy likes Big Max and filet of fish, and he's 131 00:07:17,600 --> 00:07:20,040 Speaker 4: used the word love to describe the way he feels 132 00:07:20,080 --> 00:07:21,200 Speaker 4: about the food there before. 133 00:07:21,760 --> 00:07:22,880 Speaker 5: But what's this about. 134 00:07:23,520 --> 00:07:25,440 Speaker 2: There's no logic to it. It's a stunt. 135 00:07:26,200 --> 00:07:29,960 Speaker 7: He has not put forth an economic agenda. He as 136 00:07:30,000 --> 00:07:35,000 Speaker 7: you know, appears to be not well and he's engaged 137 00:07:35,040 --> 00:07:39,720 Speaker 7: in some really bizarre types of activities during this campaign. 138 00:07:40,040 --> 00:07:41,800 Speaker 2: So this is just another one of. 139 00:07:41,720 --> 00:07:46,200 Speaker 7: Those stunts that he will continue on through the campaign. 140 00:07:46,320 --> 00:07:48,800 Speaker 7: And I think that we need to really focus on 141 00:07:49,080 --> 00:07:52,040 Speaker 7: making sure that he is not elected, of course, because 142 00:07:52,040 --> 00:07:55,080 Speaker 7: he is a threat to our democracy, but also the 143 00:07:55,160 --> 00:07:59,400 Speaker 7: Harris Loss agenda is about the economy, reducing the cost 144 00:07:59,440 --> 00:08:02,960 Speaker 7: of living, reducing the cost of prescription drugs, reducing the 145 00:08:02,960 --> 00:08:04,080 Speaker 7: cost of housing. 146 00:08:03,760 --> 00:08:05,400 Speaker 5: And making life better for everyone. 147 00:08:05,480 --> 00:08:07,360 Speaker 7: And that's what we have to focus on and make 148 00:08:07,400 --> 00:08:10,080 Speaker 7: sure we get every voter to the polls. 149 00:08:10,120 --> 00:08:13,400 Speaker 3: And you mad sister, girls, vote for you mad because 150 00:08:13,440 --> 00:08:16,640 Speaker 3: you sound mad. Trump got another wind. 151 00:08:19,000 --> 00:08:20,000 Speaker 2: Happy Birthday call. 152 00:08:20,400 --> 00:08:23,119 Speaker 3: I'll get her on the cattlesby the Michael Barry. 153 00:08:23,200 --> 00:08:24,800 Speaker 2: Maybe I'll get her surprise. 154 00:08:26,880 --> 00:08:27,160 Speaker 7: Love. 155 00:08:29,440 --> 00:08:34,680 Speaker 5: Kamala Harris despises you. She really does sing, not just 156 00:08:34,720 --> 00:08:36,000 Speaker 5: the whities Man Blue. 157 00:08:36,440 --> 00:08:42,000 Speaker 3: She despises everyone. She is a very, very entitled person. 158 00:08:42,840 --> 00:08:44,520 Speaker 3: And you know what else I've learned over the years, 159 00:08:46,080 --> 00:08:50,240 Speaker 3: when people are living a lie, they resent the people 160 00:08:50,280 --> 00:08:57,720 Speaker 3: who are not celebrities often resent the very people who 161 00:08:57,760 --> 00:08:58,600 Speaker 3: make them famous. 162 00:08:58,640 --> 00:09:01,000 Speaker 5: And do you know why I've come to learn this 163 00:09:03,880 --> 00:09:06,679 Speaker 5: Because they're not as great as. 164 00:09:06,520 --> 00:09:11,120 Speaker 3: Their fans think they are, and they know that, and 165 00:09:11,200 --> 00:09:15,120 Speaker 3: their fear is their fans will figure it out. And 166 00:09:15,160 --> 00:09:18,839 Speaker 3: when their fans figure it out, they'll hate them. So 167 00:09:18,920 --> 00:09:23,760 Speaker 3: they resent their fans for loving something that the fans 168 00:09:23,800 --> 00:09:24,480 Speaker 3: think they. 169 00:09:24,440 --> 00:09:25,960 Speaker 5: Are but they're not. 170 00:09:27,679 --> 00:09:37,200 Speaker 3: Kamala Harris despises other people because she knows she's living 171 00:09:37,240 --> 00:09:40,600 Speaker 3: a lie. And if they knew what a dumb, dumb 172 00:09:41,000 --> 00:09:44,400 Speaker 3: she really is, and how the decisions have been made 173 00:09:44,400 --> 00:09:48,679 Speaker 3: to put her in this situation that they would drop 174 00:09:48,720 --> 00:09:53,240 Speaker 3: her like a hot potato. So it's a preemptive dislike 175 00:09:53,280 --> 00:09:59,160 Speaker 3: for other people. So she's at a little rally at 176 00:09:59,200 --> 00:10:01,880 Speaker 3: a high school g in Wisconsin. Can you imagine getting 177 00:10:02,320 --> 00:10:05,439 Speaker 3: a crowd of Trump supporters in a high school gym. 178 00:10:05,960 --> 00:10:06,600 Speaker 5: Couldn't do it. 179 00:10:07,400 --> 00:10:10,240 Speaker 3: Too many people, too many fans, but they do this 180 00:10:10,320 --> 00:10:14,199 Speaker 3: to make it look more crowded. And there you know technology. 181 00:10:14,800 --> 00:10:17,079 Speaker 3: I'm not a big technology guy. People get mad at 182 00:10:17,080 --> 00:10:18,959 Speaker 3: me for saying that if I don't love technology. I 183 00:10:19,000 --> 00:10:22,760 Speaker 3: don't love technology. But I don't love technology, but I'm 184 00:10:22,800 --> 00:10:26,880 Speaker 3: amazed at what can be done with technology these days. 185 00:10:27,880 --> 00:10:33,719 Speaker 3: They can now see the cell phone activity at a 186 00:10:33,840 --> 00:10:38,640 Speaker 3: Kamala Harris rally, and they can see what the area 187 00:10:38,760 --> 00:10:42,679 Speaker 3: codes of the phones are, and they can see they 188 00:10:42,679 --> 00:10:45,960 Speaker 3: can track those phones, and they can do it in 189 00:10:46,040 --> 00:10:53,680 Speaker 3: a mass sample. So there was a rally in Detroit recently. 190 00:10:54,240 --> 00:10:58,600 Speaker 3: There were four thousand phones at that rally, and I 191 00:10:58,640 --> 00:11:01,040 Speaker 3: can't remember the exact number, so I may be off, 192 00:11:01,080 --> 00:11:04,199 Speaker 3: but this is the range of where it was something 193 00:11:04,320 --> 00:11:07,720 Speaker 3: like thirty two hundred to thirty six hundred of the 194 00:11:07,760 --> 00:11:11,040 Speaker 3: phones were people that had also been in Atlanta the 195 00:11:11,080 --> 00:11:16,079 Speaker 3: week before, in North Carolina a couple of days before. Well, 196 00:11:16,160 --> 00:11:19,960 Speaker 3: let me ask you this, do you really believe that? 197 00:11:20,000 --> 00:11:23,959 Speaker 3: And I can't remember where the original area code was from, 198 00:11:24,120 --> 00:11:28,640 Speaker 3: but none of these people were native to Detroit. Do 199 00:11:28,720 --> 00:11:34,600 Speaker 3: you really believe that Kamala Harris supporters are all from 200 00:11:34,679 --> 00:11:37,480 Speaker 3: the same area code? And I don't know, some poor 201 00:11:37,520 --> 00:11:41,199 Speaker 3: town in Georgia, I don't know where it was, Mississippi, 202 00:11:41,240 --> 00:11:46,280 Speaker 3: wherever it was. They've gone in and paid these people 203 00:11:46,920 --> 00:11:51,720 Speaker 3: to travel like they're grateful dead fans to Kamala Harris 204 00:11:51,760 --> 00:11:59,000 Speaker 3: events and be there so that they can script a crowd. 205 00:11:59,800 --> 00:12:03,320 Speaker 3: Do you know why, Because she can't draw a route 206 00:12:03,679 --> 00:12:05,920 Speaker 3: because people don't connect with her. 207 00:12:06,520 --> 00:12:10,040 Speaker 5: People don't want her to be the president. 208 00:12:10,240 --> 00:12:15,560 Speaker 3: So they have to script the media, the legacy media, 209 00:12:15,920 --> 00:12:20,040 Speaker 3: and the Hollywood crowd. Everything for them is fake. So 210 00:12:20,080 --> 00:12:23,960 Speaker 3: this doesn't bother them. This is what they're good at. Well, 211 00:12:24,480 --> 00:12:30,120 Speaker 3: she insults Christians at her rally because she doesn't like Christians. 212 00:12:30,240 --> 00:12:31,000 Speaker 3: Listen carefully. 213 00:12:31,080 --> 00:12:34,040 Speaker 1: Donald Trump hand selected three members of the United States 214 00:12:34,080 --> 00:12:41,320 Speaker 1: Supreme Court with the intention that they would undo the protections. 215 00:12:40,679 --> 00:12:41,240 Speaker 2: Of Roe v. 216 00:12:41,440 --> 00:12:45,640 Speaker 1: Wade and they did as he intended. 217 00:12:48,679 --> 00:12:53,440 Speaker 4: Oh, you guys are at the wrong rally. No, I 218 00:12:53,480 --> 00:12:54,360 Speaker 4: think you've meant. 219 00:12:54,160 --> 00:12:56,040 Speaker 2: To go to the smaller one down the street. 220 00:12:57,760 --> 00:13:02,840 Speaker 3: The guy screamed out, Jesus's Lord, and she said, you're 221 00:13:02,880 --> 00:13:07,280 Speaker 3: at the wrong rally. Luke Pulaski is one of the 222 00:13:07,320 --> 00:13:11,280 Speaker 3: young men who praised Jesus at the rally, and Fox 223 00:13:11,320 --> 00:13:14,400 Speaker 3: News invited him on. They tracked him down to ask 224 00:13:14,520 --> 00:13:17,840 Speaker 3: him what happened after that moment. 225 00:13:18,720 --> 00:13:20,960 Speaker 6: There's a lot happened that, a lot that happened off 226 00:13:21,000 --> 00:13:26,200 Speaker 6: camera that we said at the protests, and well why 227 00:13:26,320 --> 00:13:29,480 Speaker 6: we were protesting, And I guess we could start off 228 00:13:29,520 --> 00:13:33,000 Speaker 6: with when she after she talked about overturning Robe Wade 229 00:13:33,040 --> 00:13:36,000 Speaker 6: and Donald Trump, I yelled out to the crowd that 230 00:13:36,080 --> 00:13:39,200 Speaker 6: abortion is the sacrament of Satan. And when I said that, 231 00:13:39,840 --> 00:13:42,880 Speaker 6: I deeply do believe that as a Christian. And about 232 00:13:42,920 --> 00:13:46,000 Speaker 6: ten seconds go by, and that's when the video of 233 00:13:46,600 --> 00:13:50,400 Speaker 6: my friend Grant and I proclaiming that christis Lord and 234 00:13:50,480 --> 00:13:54,160 Speaker 6: Jesus is King when we said that, and I think 235 00:13:54,160 --> 00:13:57,400 Speaker 6: it's important to say, this is a small venue and 236 00:13:57,600 --> 00:13:59,880 Speaker 6: we were about twenty to thirty yards away from m 237 00:14:00,040 --> 00:14:02,520 Speaker 6: all at this point. There's a lot of controversy that 238 00:14:02,600 --> 00:14:05,560 Speaker 6: says she wasn't talking to us, or we laughed, we 239 00:14:05,600 --> 00:14:08,880 Speaker 6: didn't get kicked out. Well, I can speak on Granchi's 240 00:14:08,920 --> 00:14:15,360 Speaker 6: behalf on video. Grant's getting pushed and shoved, and there's 241 00:14:15,360 --> 00:14:18,760 Speaker 6: about five seconds after or before she tells us to 242 00:14:18,800 --> 00:14:20,240 Speaker 6: go to the smaller rally down the street, and you 243 00:14:20,280 --> 00:14:21,640 Speaker 6: can see on the video she waves. 244 00:14:21,920 --> 00:14:24,120 Speaker 2: She waves. She was actually waving to me. 245 00:14:24,840 --> 00:14:27,160 Speaker 6: I took this cross off my neck that I wear, 246 00:14:27,920 --> 00:14:31,520 Speaker 6: and as we were getting asked to leave, I held 247 00:14:31,520 --> 00:14:33,120 Speaker 6: it up in the air and waved at her and 248 00:14:33,160 --> 00:14:35,760 Speaker 6: pointed to her, and she looked directly and I kind 249 00:14:35,760 --> 00:14:39,200 Speaker 6: of gave me an evil smirk, and yeah, I just 250 00:14:39,200 --> 00:14:40,160 Speaker 6: want to clear that up and. 251 00:14:40,120 --> 00:14:42,560 Speaker 2: Confirm that she was talking to us. 252 00:14:43,080 --> 00:14:46,720 Speaker 6: And there's other controversy that says we left, we were 253 00:14:46,720 --> 00:14:50,520 Speaker 6: getting shouted at, pushed, assaulted, screamed at. 254 00:14:50,600 --> 00:14:51,920 Speaker 2: So we were walking away. 255 00:14:52,440 --> 00:14:56,640 Speaker 6: But there's about three attendees there, volunteers that kicked us 256 00:14:56,640 --> 00:14:59,440 Speaker 6: out with pressed with badges or whatever they had. And 257 00:14:59,520 --> 00:15:03,400 Speaker 6: I typically remember this one man saying you were invited 258 00:15:03,480 --> 00:15:04,680 Speaker 6: and on and welcome to this event. 259 00:15:04,720 --> 00:15:06,400 Speaker 2: You need to leave. And all they did was walk 260 00:15:06,480 --> 00:15:07,000 Speaker 2: us out the door. 261 00:15:07,040 --> 00:15:09,720 Speaker 6: They didn't tell us why no cops has scored us out, 262 00:15:10,680 --> 00:15:14,600 Speaker 6: no secret service, and uh yeah, that's our story. 263 00:15:14,840 --> 00:15:18,320 Speaker 3: This is what you do in third world dictatorships. You 264 00:15:18,400 --> 00:15:24,400 Speaker 3: cannot question them. In contrast, JD. Vance had a similar 265 00:15:24,440 --> 00:15:27,440 Speaker 3: situation at his rally. Listen to how he handled it. 266 00:15:27,400 --> 00:15:31,200 Speaker 8: Anti Christian rhetoric and anti Christian approach to public policy. 267 00:15:31,200 --> 00:15:33,880 Speaker 2: I don't think we've I don't think that we've that's right, 268 00:15:33,960 --> 00:15:36,479 Speaker 2: Jesus is king, and I don't think that we've seen. 269 00:15:43,320 --> 00:15:46,800 Speaker 3: I don't think that we've seen anything like this in 270 00:15:46,880 --> 00:15:53,840 Speaker 3: modern American politics. So after insulting Christians and telling everyone 271 00:15:53,840 --> 00:15:56,520 Speaker 3: that Jesus Christ has no place at her rally, she 272 00:15:56,640 --> 00:15:59,360 Speaker 3: goes to a black church, a soul's to the polls, 273 00:16:00,040 --> 00:16:03,080 Speaker 3: which is really just a front for the Democrat machine. 274 00:16:03,520 --> 00:16:05,280 Speaker 3: And now she's back to quote in the Bible. 275 00:16:05,520 --> 00:16:08,760 Speaker 4: And let us recognize that when we shine the light 276 00:16:09,240 --> 00:16:13,480 Speaker 4: in moments of darkness, it will guide our feet into 277 00:16:13,560 --> 00:16:17,960 Speaker 4: the path of peace. And let us remember that while 278 00:16:18,040 --> 00:16:25,360 Speaker 4: weeping may endure for a night, joy cometh in the morning. 279 00:16:26,400 --> 00:16:28,680 Speaker 4: Gone is the day of everyone thinking they could actually 280 00:16:28,720 --> 00:16:29,920 Speaker 4: live the American true The. 281 00:16:29,880 --> 00:16:31,000 Speaker 2: Michael Berry Show. 282 00:16:33,720 --> 00:16:39,600 Speaker 3: Problem was asked what generational change means to her, So. 283 00:16:41,200 --> 00:16:42,560 Speaker 5: This was her answer. 284 00:16:43,680 --> 00:16:47,720 Speaker 3: You talk about generational change, What does generational change mean 285 00:16:47,800 --> 00:16:48,040 Speaker 3: to you? 286 00:16:48,680 --> 00:16:51,120 Speaker 1: I think it's about a state of mind and it 287 00:16:51,200 --> 00:16:54,920 Speaker 1: is about understanding that we should be focused on this moment, 288 00:16:55,000 --> 00:16:57,760 Speaker 1: and this is a very particular moment where there's a 289 00:16:57,840 --> 00:17:00,840 Speaker 1: lot happening in our country that is about innovation that 290 00:17:00,960 --> 00:17:04,680 Speaker 1: are but really new approaches to long standing challenges, and 291 00:17:05,160 --> 00:17:07,760 Speaker 1: there's about it. It's a new generation of thinking as 292 00:17:07,800 --> 00:17:08,800 Speaker 1: much as anything else. 293 00:17:09,920 --> 00:17:14,720 Speaker 5: Wait, what remot can you? I don't think I got 294 00:17:14,720 --> 00:17:15,480 Speaker 5: an answer there. 295 00:17:16,320 --> 00:17:20,360 Speaker 3: You talk about generational change, What does generational change mean 296 00:17:20,440 --> 00:17:20,639 Speaker 3: to you? 297 00:17:21,359 --> 00:17:23,760 Speaker 1: I think it's about a state of mind, and it 298 00:17:23,840 --> 00:17:26,879 Speaker 1: is about understanding that we should be focused on at 299 00:17:26,920 --> 00:17:29,600 Speaker 1: this moment, and this is a very particular moment where 300 00:17:29,640 --> 00:17:32,720 Speaker 1: there's a lot happening in our country that is about 301 00:17:32,720 --> 00:17:37,000 Speaker 1: innovation that are but really new approaches to long standing challenges, 302 00:17:37,160 --> 00:17:40,159 Speaker 1: and there's about it. It's a new generation of thinking 303 00:17:40,240 --> 00:17:41,440 Speaker 1: as much as anything else. 304 00:17:42,040 --> 00:17:44,840 Speaker 5: So generational change is change in a generation. 305 00:17:45,640 --> 00:17:46,440 Speaker 2: Okay, well. 306 00:17:48,119 --> 00:17:50,879 Speaker 3: Yeah, when you have to use the word that someone 307 00:17:50,960 --> 00:17:55,960 Speaker 3: is asking you to define in the definition, I don't 308 00:17:56,200 --> 00:17:59,880 Speaker 3: think you know what you're talking about So now Kamalah 309 00:18:00,200 --> 00:18:02,880 Speaker 3: is this is how bad things are. 310 00:18:04,160 --> 00:18:07,440 Speaker 5: She's had to retreat to home base. 311 00:18:09,359 --> 00:18:14,560 Speaker 3: To hav an quote unquote interview with somebody who's not 312 00:18:14,680 --> 00:18:18,040 Speaker 3: going to ask her a single question that would have 313 00:18:18,119 --> 00:18:23,320 Speaker 3: her out of her league. Nothing serious. So she's back 314 00:18:23,359 --> 00:18:31,560 Speaker 3: on MSNBC with Al Sharpton. Now you're not adding independence, 315 00:18:31,600 --> 00:18:35,560 Speaker 3: you're not adding undecided, you're not adding new demographics they 316 00:18:35,600 --> 00:18:38,959 Speaker 3: are Now she's just going back to comfort food at 317 00:18:38,960 --> 00:18:45,399 Speaker 3: this point, and even with Al Sharpton, she does it again. 318 00:18:46,400 --> 00:18:49,520 Speaker 4: The President of the United States must set a standard, 319 00:18:50,400 --> 00:18:54,119 Speaker 4: not only foreign nation, but understanding the standard that we 320 00:18:54,160 --> 00:18:58,080 Speaker 4: as a nation must set for the world. You know, 321 00:18:58,160 --> 00:19:01,880 Speaker 4: we we as presenting the United States of America, walk 322 00:19:01,880 --> 00:19:06,399 Speaker 4: into rooms around the world with the earned and self 323 00:19:06,440 --> 00:19:11,240 Speaker 4: appointed authority to talk about the importance of democracy, rule 324 00:19:11,280 --> 00:19:16,000 Speaker 4: of law, and have been thought of as a role 325 00:19:16,040 --> 00:19:18,320 Speaker 4: model and perfect though we may be, but a role 326 00:19:18,400 --> 00:19:23,600 Speaker 4: model of what it means to be committed to certain standards, 327 00:19:23,640 --> 00:19:27,119 Speaker 4: including international rules and norms, but also standards of decorum. 328 00:19:27,480 --> 00:19:28,360 Speaker 2: The President of. 329 00:19:28,280 --> 00:19:30,600 Speaker 4: The United States must set a standard. 330 00:19:32,800 --> 00:19:37,320 Speaker 8: What what you just said is one of the most 331 00:19:37,320 --> 00:19:41,879 Speaker 8: insanely idiotic things I have ever heard. At no point 332 00:19:42,280 --> 00:19:46,800 Speaker 8: in your rambling, incoherent response were you even close to 333 00:19:46,880 --> 00:19:51,679 Speaker 8: anything that could be considered a rational thought. Everyone in 334 00:19:51,720 --> 00:19:55,000 Speaker 8: this room is now dumber for having listened to it. 335 00:19:56,040 --> 00:19:59,560 Speaker 8: I award you no points, and may God have mercy 336 00:19:59,560 --> 00:19:59,960 Speaker 8: on yourself. 337 00:20:01,400 --> 00:20:06,439 Speaker 3: So Kamala is now losing with white women. The majority 338 00:20:06,480 --> 00:20:10,640 Speaker 3: of white women are for Trump. She is losing. She's 339 00:20:10,720 --> 00:20:15,760 Speaker 3: not below fifty percent with black women yet, but she 340 00:20:16,080 --> 00:20:22,080 Speaker 3: is hemorrhaging black women. She is losing them. And it's 341 00:20:22,200 --> 00:20:26,840 Speaker 3: quite interesting on social media. You have to be careful 342 00:20:26,880 --> 00:20:30,560 Speaker 3: on social media because the algorithm will. 343 00:20:30,359 --> 00:20:35,800 Speaker 5: Feed you what you already like. So unfortunately, if. 344 00:20:37,280 --> 00:20:41,840 Speaker 3: You look up the Wisconsin I mean, if you look 345 00:20:41,920 --> 00:20:46,680 Speaker 3: up the Milwaukee Bucks basketball team from back in the day, 346 00:20:47,520 --> 00:20:49,600 Speaker 3: you're going to be fed a steady diet of Sydney 347 00:20:49,600 --> 00:20:53,880 Speaker 3: Moncrief highlights for years or the early days of lou 348 00:20:53,920 --> 00:20:55,720 Speaker 3: Eusendor And you're going, why do. 349 00:20:55,720 --> 00:20:58,440 Speaker 5: Y'all keep sending me this? Because that's what they think 350 00:20:58,480 --> 00:21:01,119 Speaker 5: you want? So to get outside that. 351 00:21:02,160 --> 00:21:06,399 Speaker 3: And when you get outside that, you still see that 352 00:21:06,600 --> 00:21:12,480 Speaker 3: more and more black women, inner city black women, young 353 00:21:12,840 --> 00:21:16,879 Speaker 3: black women, and you know what they're saying, stop screaming 354 00:21:16,920 --> 00:21:21,920 Speaker 3: abortion Kamala, you're killing our communities. You're putting criminals back 355 00:21:21,960 --> 00:21:24,960 Speaker 3: out on the street. Legal aliens are replacing us. You 356 00:21:24,960 --> 00:21:27,880 Speaker 3: can scream abortion till you're blue in the face. It's 357 00:21:27,920 --> 00:21:33,400 Speaker 3: not gonna matter. But boy, oh boy, is she losing men. 358 00:21:34,400 --> 00:21:39,080 Speaker 3: She is getting crushed by men. So what does she do? 359 00:21:40,600 --> 00:21:46,200 Speaker 3: She and that genius Al Sharpton decide that any man 360 00:21:47,280 --> 00:21:53,480 Speaker 3: that is not voting for her hates women. They're a misogynist. 361 00:21:55,040 --> 00:21:59,040 Speaker 3: She is every dude that ever had an ex wife. 362 00:21:59,640 --> 00:22:01,879 Speaker 3: I am for I've been with my wife for thirty 363 00:22:01,880 --> 00:22:05,800 Speaker 3: five years. She's the best wife in the world. She 364 00:22:06,000 --> 00:22:09,479 Speaker 3: supports me, she makes me better, she challenges me. But 365 00:22:09,520 --> 00:22:12,880 Speaker 3: I've had some friends who married women who changed on them, 366 00:22:13,880 --> 00:22:17,879 Speaker 3: and they became awful ex wives and co parents, and 367 00:22:17,920 --> 00:22:21,520 Speaker 3: they went through hell because of it. Kamala Harris is 368 00:22:21,560 --> 00:22:27,520 Speaker 3: that the woman who blames men for everything. So here 369 00:22:27,600 --> 00:22:31,680 Speaker 3: she is all you fellas black men, Hispanic women, Hispanic men, 370 00:22:32,080 --> 00:22:36,119 Speaker 3: white men, Asian men. If you're not supporting Kamala Harris, 371 00:22:36,920 --> 00:22:37,879 Speaker 3: then you hate women. 372 00:22:38,680 --> 00:22:41,880 Speaker 2: Do you think some of the resistance of some men. 373 00:22:41,800 --> 00:22:46,080 Speaker 9: Black and white is misogynists? And are you proud to 374 00:22:46,200 --> 00:22:50,159 Speaker 9: see that most Americans is even even being pold. Have 375 00:22:50,320 --> 00:22:54,400 Speaker 9: no problem supporting a woman at all. And I'm one 376 00:22:54,440 --> 00:23:01,160 Speaker 9: that lived from Shirley to Kamala in these campaigns. 377 00:22:58,880 --> 00:23:03,840 Speaker 4: That have an emotional reaction to you raising the planet 378 00:23:03,840 --> 00:23:08,080 Speaker 4: shirlechism because it is on her broad shoulders that I 379 00:23:08,160 --> 00:23:10,840 Speaker 4: stand and so many of us stand. And we have 380 00:23:10,960 --> 00:23:14,359 Speaker 4: come a long way to your point, and on your 381 00:23:14,400 --> 00:23:18,399 Speaker 4: specific point about including the fact that I have the 382 00:23:18,480 --> 00:23:23,800 Speaker 4: support of countless black men who are in elected positions, 383 00:23:23,800 --> 00:23:27,760 Speaker 4: including on just this afternoon and two church visits today 384 00:23:27,800 --> 00:23:31,680 Speaker 4: with the Mayor of Atlanta. That being said, I think 385 00:23:31,760 --> 00:23:36,640 Speaker 4: that you are absolutely right that there is this narrative 386 00:23:36,680 --> 00:23:40,359 Speaker 4: about what kind of support we are receiving from black 387 00:23:40,440 --> 00:23:42,400 Speaker 4: men that is just not panning out. 388 00:23:43,640 --> 00:23:51,120 Speaker 3: You are an awful person, Kamala Harris, a divisive person, 389 00:23:53,119 --> 00:23:55,880 Speaker 3: a person who causes problems. 390 00:23:55,320 --> 00:23:56,480 Speaker 5: Wherever you go. 391 00:23:57,960 --> 00:24:05,600 Speaker 3: Your desperate attempts to get people to like you by 392 00:24:05,760 --> 00:24:13,200 Speaker 3: insulting other people are not only not presidential, they're indecent, 393 00:24:14,680 --> 00:24:23,120 Speaker 3: They're grotesque. This is terrible, terrible, terrible behavior. You ever 394 00:24:23,200 --> 00:24:29,040 Speaker 3: had a worker who in your workplace was toxic, You've 395 00:24:29,080 --> 00:24:31,320 Speaker 3: got to fire them, You've got to get them out. 396 00:24:32,000 --> 00:24:36,840 Speaker 3: I've seen a child, a toxic child, destroy a family, 397 00:24:37,080 --> 00:24:41,760 Speaker 3: destroy the parents, destroy the family. I've seen toxic workers 398 00:24:41,520 --> 00:24:46,359 Speaker 3: to destroy you see, this is why sometimes a great 399 00:24:46,359 --> 00:24:49,399 Speaker 3: wide receiver like a Terrell Owens had to get Berkision, 400 00:24:49,520 --> 00:24:52,320 Speaker 3: had to be kicked off a team because they're toxic. 401 00:24:52,440 --> 00:24:54,480 Speaker 2: She's toxic birth. 402 00:24:55,280 --> 00:24:59,359 Speaker 3: I get her in mcdadals Michael Berry, don't get her surprised. 403 00:25:01,600 --> 00:25:06,240 Speaker 5: A Michigan voter. 404 00:25:09,440 --> 00:25:16,719 Speaker 3: On MSNBC, when asked, says that Kamala Harris is insulting 405 00:25:16,800 --> 00:25:20,439 Speaker 3: Christians to appease abortion activists. 406 00:25:20,000 --> 00:25:21,600 Speaker 2: Focused in on abortion. 407 00:25:23,000 --> 00:25:26,280 Speaker 1: We have constitutional protected abortion here in Michigan. 408 00:25:26,400 --> 00:25:28,000 Speaker 2: It's not an issue. 409 00:25:28,200 --> 00:25:30,439 Speaker 4: I don't have a uterus anymore. My husband never had 410 00:25:30,480 --> 00:25:31,080 Speaker 4: a uterus. 411 00:25:31,080 --> 00:25:33,560 Speaker 1: But we have utility bills, we have grocery bills. 412 00:25:35,560 --> 00:25:36,600 Speaker 5: If you think. 413 00:25:38,240 --> 00:25:42,280 Speaker 3: That abortion is what most Americans care about, you're out 414 00:25:42,320 --> 00:25:50,120 Speaker 3: of touch. You're probably a paid staffer one of these organizations. 415 00:25:51,920 --> 00:25:58,720 Speaker 3: People want safe streets, they want jobs, they want economic security, 416 00:25:59,560 --> 00:26:03,520 Speaker 3: and they want opportunity for their kids. If all you 417 00:26:03,600 --> 00:26:06,080 Speaker 3: can do is scream abortion, you know what she's doing. 418 00:26:07,160 --> 00:26:11,880 Speaker 3: She's appealing to the one group of people that she's 419 00:26:11,880 --> 00:26:13,600 Speaker 3: still holding on too. Do you know who that is? 420 00:26:14,320 --> 00:26:20,000 Speaker 3: They're known in the political world as awfuls affluent white female, 421 00:26:20,920 --> 00:26:28,960 Speaker 3: urban liberal, but these women have positions of authority. These 422 00:26:29,000 --> 00:26:35,040 Speaker 3: are white women, mostly white women. They're very well quote 423 00:26:35,119 --> 00:26:41,240 Speaker 3: unquote educated. Now, they couldn't change a tire. They don't 424 00:26:41,280 --> 00:26:43,800 Speaker 3: have any common sense, they don't have any practical sense, 425 00:26:44,600 --> 00:26:49,240 Speaker 3: but they have educational credentials and they are completely focused 426 00:26:49,280 --> 00:26:54,040 Speaker 3: on their career. They're not good mothers, they're not good wives, 427 00:26:54,720 --> 00:26:59,920 Speaker 3: they're not good friends. They spend a lot of time 428 00:27:00,200 --> 00:27:05,240 Speaker 3: in therapy and they need it. And they are the 429 00:27:05,359 --> 00:27:08,800 Speaker 3: characters of sex in the city. They are the you know, 430 00:27:08,840 --> 00:27:13,640 Speaker 3: there are TV shows made for these women. And they 431 00:27:13,680 --> 00:27:18,160 Speaker 3: are very bitter, very angry. These are the women that 432 00:27:18,200 --> 00:27:20,560 Speaker 3: when Trump was elected the first time, were the pink 433 00:27:20,640 --> 00:27:24,359 Speaker 3: hats that they made reference to, these hats being a 434 00:27:24,440 --> 00:27:31,080 Speaker 3: female cat. Everything about them is their uterus, their vagina. 435 00:27:31,240 --> 00:27:36,760 Speaker 3: They constantly they're angry that they menstruate, and some of 436 00:27:36,800 --> 00:27:39,359 Speaker 3: them may not be mensruating anymore, but they very angry 437 00:27:39,359 --> 00:27:41,360 Speaker 3: about it. Men need to pay for the fact that 438 00:27:41,320 --> 00:27:47,000 Speaker 3: they've been angry. You've got to go deep into the 439 00:27:47,000 --> 00:27:50,760 Speaker 3: psyche of these human beings to understand how they ended 440 00:27:50,840 --> 00:27:54,640 Speaker 3: up there. They thought that by now they would rule 441 00:27:54,680 --> 00:27:58,879 Speaker 3: the world. This is very much the Hillary Clinton model. 442 00:27:59,440 --> 00:28:02,440 Speaker 3: They thought that by now they would rule the world, 443 00:28:03,080 --> 00:28:05,680 Speaker 3: and they're not as powerful as they thought they were 444 00:28:05,680 --> 00:28:09,639 Speaker 3: going to be. And they're very resentful. They're resentful of 445 00:28:09,680 --> 00:28:14,080 Speaker 3: the differences in the sexes. They had a brother, and 446 00:28:14,119 --> 00:28:17,600 Speaker 3: their brother played football in baseball, and their daddy went 447 00:28:17,640 --> 00:28:19,560 Speaker 3: to every game, and he didn't want to come to 448 00:28:20,560 --> 00:28:24,760 Speaker 3: their activities. So they're resentful, which, hey, okay, I feel 449 00:28:24,760 --> 00:28:25,680 Speaker 3: for you, but that's. 450 00:28:25,520 --> 00:28:27,639 Speaker 5: Not my fault and that's not your fault. 451 00:28:29,119 --> 00:28:34,040 Speaker 3: They're resentful that the older generations may not take them 452 00:28:34,080 --> 00:28:37,479 Speaker 3: as seriously as they believe they should be taken, and 453 00:28:37,520 --> 00:28:41,320 Speaker 3: so they're mad at everybody, and they're out to exact 454 00:28:41,600 --> 00:28:50,160 Speaker 3: revenge on everyone. They're drunks Kamala Harris. Interestingly, the reason 455 00:28:50,240 --> 00:28:55,560 Speaker 3: blacks don't claim Kamala Harris is for the same reason 456 00:28:55,960 --> 00:28:58,800 Speaker 3: that blacks didn't claim Barack Obama when you got right 457 00:28:58,880 --> 00:29:04,840 Speaker 3: down to it, because Barack Obama is the prototypical white 458 00:29:06,280 --> 00:29:16,320 Speaker 3: liberal Democrat. Sissy Kamala Harris is the prototypical angry, white, entitled, 459 00:29:16,920 --> 00:29:20,240 Speaker 3: quote unquote educated liberal. 460 00:29:21,120 --> 00:29:22,640 Speaker 5: She just happens to not be white. 461 00:29:23,320 --> 00:29:23,880 Speaker 2: But if you ever. 462 00:29:23,920 --> 00:29:28,600 Speaker 5: Notice that's who she runs with. She married a guy. 463 00:29:28,960 --> 00:29:32,760 Speaker 3: Who is the He might be a wife beater, but 464 00:29:32,880 --> 00:29:39,760 Speaker 3: he is the softy white liberal San Francisco law firm partner. 465 00:29:40,760 --> 00:29:44,040 Speaker 3: I mean, these people are straight out of Central Casting. 466 00:29:45,440 --> 00:29:48,360 Speaker 3: And that's why when they went looking for a man's man, 467 00:29:48,680 --> 00:29:50,800 Speaker 3: because we got to get the man back on track. 468 00:29:52,120 --> 00:29:55,960 Speaker 3: Their idea of a man's man was Tim Watz. 469 00:29:57,600 --> 00:29:59,800 Speaker 2: There was a writer for I think. 470 00:29:59,640 --> 00:30:02,160 Speaker 3: It was a New York Times a few years ago, 471 00:30:03,000 --> 00:30:07,480 Speaker 3: and she said, I don't even know anybody who owns 472 00:30:07,520 --> 00:30:12,080 Speaker 3: a truck. Who are these people buying all these trucks? 473 00:30:12,920 --> 00:30:21,920 Speaker 3: That was such a revealing moment. You don't understand what 474 00:30:22,240 --> 00:30:25,720 Speaker 3: y'all call flyover country because that's how the people on 475 00:30:25,760 --> 00:30:29,320 Speaker 3: the coast refer to most of the country. Flyover country. 476 00:30:29,800 --> 00:30:32,600 Speaker 3: Y'all are just the peasants down there that we fly over, 477 00:30:32,680 --> 00:30:35,520 Speaker 3: going from New York to LA to DC. 478 00:30:36,800 --> 00:30:39,440 Speaker 5: Y'all don't matter. Y'all aren't real. 479 00:30:39,920 --> 00:30:45,320 Speaker 3: Y'all are church going breeders driving your trucks. The only 480 00:30:45,360 --> 00:30:48,080 Speaker 3: thing y'all are useful for is changing my tire and 481 00:30:48,200 --> 00:30:53,000 Speaker 3: hauling my stuff. But I can replace you now, I've 482 00:30:53,000 --> 00:30:55,800 Speaker 3: got an app to replace you. I don't need you. 483 00:30:56,720 --> 00:31:01,200 Speaker 3: I'm I'm the advanced person. Everything I need is right 484 00:31:01,200 --> 00:31:04,600 Speaker 3: here on my iPhone. Will then fight your own wars 485 00:31:06,160 --> 00:31:11,800 Speaker 3: and pay your own taxes, and when the storm hits, 486 00:31:11,840 --> 00:31:16,400 Speaker 3: you get your own self out of your building in 487 00:31:16,520 --> 00:31:21,320 Speaker 3: your own John boat, save your own self from flooding. 488 00:31:22,800 --> 00:31:27,160 Speaker 5: You arrogant elitist, because that's what they are. 489 00:31:28,240 --> 00:31:34,040 Speaker 3: So Kamala is speaking at a rally in Detroit and 490 00:31:34,120 --> 00:31:37,320 Speaker 3: she brings along with her Lizzo because she always has 491 00:31:37,360 --> 00:31:40,240 Speaker 3: to have somebody else. She can't ever just be the person. 492 00:31:41,280 --> 00:31:44,240 Speaker 3: And Lizo is this fat black woman who's a singer, 493 00:31:44,920 --> 00:31:48,360 Speaker 3: and oh Ramona says she's lost a lot of weight. 494 00:31:48,560 --> 00:31:49,120 Speaker 3: I don't care. 495 00:31:49,480 --> 00:31:51,600 Speaker 5: She's fat, she's black, she's a woman. 496 00:31:52,120 --> 00:31:54,720 Speaker 3: All three of those are facts. It's not a judgment, 497 00:31:54,800 --> 00:31:57,960 Speaker 3: it's a fact. I'm describing her so people would know 498 00:31:58,000 --> 00:32:03,000 Speaker 3: who I'm talking about. So Lizzo starts talking and she 499 00:32:03,240 --> 00:32:07,280 Speaker 3: says that if Kamala wins, the entire country will look 500 00:32:07,360 --> 00:32:11,800 Speaker 3: like the Motor City. I don't want to live in Detroit. 501 00:32:13,040 --> 00:32:15,120 Speaker 5: I'm so proud to be from this city. 502 00:32:15,720 --> 00:32:15,959 Speaker 1: You know. 503 00:32:16,440 --> 00:32:19,680 Speaker 4: They say, if Kamala wins, then the whole country will. 504 00:32:19,480 --> 00:32:26,160 Speaker 6: Be like Detroit O like Detroit, brasilient. 505 00:32:26,360 --> 00:32:32,520 Speaker 3: Like Detroit, three hundred homicides in twenty twenty three, much 506 00:32:32,600 --> 00:32:36,400 Speaker 3: higher than the national average. Violent crime rate across the country. 507 00:32:36,400 --> 00:32:39,720 Speaker 3: It's four hundred per one hundred thousand people. In Detroit. 508 00:32:39,760 --> 00:32:43,200 Speaker 3: Last year, it was twenty two hundred, five and a 509 00:32:43,240 --> 00:32:50,240 Speaker 3: half times the national average. Property crimes forty seven hundred 510 00:32:50,320 --> 00:32:54,719 Speaker 3: incidents per one hundred thousand people. Five percent of people 511 00:32:55,280 --> 00:32:59,200 Speaker 3: are going to be a victim. The median income is 512 00:32:59,560 --> 00:33:03,480 Speaker 3: half the national average. The poverty rate is three times 513 00:33:03,520 --> 00:33:09,400 Speaker 3: a national average. The unemployment rate is eighty percent above 514 00:33:09,640 --> 00:33:14,840 Speaker 3: the national average. I don't want America to look like Detroit. 515 00:33:15,680 --> 00:33:19,080 Speaker 3: I want America to look like Tennessee and Texas and 516 00:33:19,200 --> 00:33:26,600 Speaker 3: Florida and Mississippi and Alabama and Oklahoma and Arizona. I 517 00:33:26,760 --> 00:33:32,000 Speaker 3: want America to look like the places that are thriving, 518 00:33:33,000 --> 00:33:36,040 Speaker 3: not the places that are dying. Detroit was once the 519 00:33:36,080 --> 00:33:44,040 Speaker 3: fifth largest city in this country. Detroit today is broken, busted. Anyway, 520 00:33:44,200 --> 00:33:51,320 Speaker 3: We'll see back tomorrow.