1 00:00:02,040 --> 00:00:09,879 Speaker 1: It's that time. Time, time, luck and load. The Michael 2 00:00:09,960 --> 00:00:11,880 Speaker 1: Very Show is on the air. 3 00:00:26,320 --> 00:00:32,080 Speaker 2: Whoever is asking to debate is losing. It's a rule 4 00:00:32,080 --> 00:00:38,280 Speaker 2: of thumb in politics. Whoever is outside your house saying, come. 5 00:00:38,200 --> 00:00:40,040 Speaker 3: In here, come in here, come out here, come here 6 00:00:40,080 --> 00:00:40,440 Speaker 3: and fight me. 7 00:00:40,479 --> 00:00:41,080 Speaker 1: Come out here. 8 00:00:42,840 --> 00:00:50,440 Speaker 2: That guy needs the debate, the person inside doesn't. At 9 00:00:50,479 --> 00:00:54,640 Speaker 2: a sporting event, there's some guy's dumb enough to say, Hey, 10 00:00:54,680 --> 00:00:56,840 Speaker 2: Mike Tyson, come over here. I'll fight you right now. 11 00:00:58,600 --> 00:01:02,400 Speaker 2: He has everything to get and nothing to lose. Now, 12 00:01:02,400 --> 00:01:03,680 Speaker 2: I know what you're saying. It's gonna get his head, 13 00:01:03,680 --> 00:01:06,920 Speaker 2: bast him. Sure, but he has everything to gain and 14 00:01:06,959 --> 00:01:12,200 Speaker 2: nothing to lose. When Mike Tyson says now, I'm not gonna. 15 00:01:11,959 --> 00:01:16,280 Speaker 3: Fight to you, and I need to fight you. Everybody's 16 00:01:16,280 --> 00:01:18,280 Speaker 3: got planned until you get hit in the head. 17 00:01:18,920 --> 00:01:21,880 Speaker 2: When he says that, it's not because he's a sissy. 18 00:01:22,880 --> 00:01:26,080 Speaker 2: It's because there's nothing good to come of it. And 19 00:01:26,280 --> 00:01:28,559 Speaker 2: no matter how, no matter who you are, there's always 20 00:01:28,560 --> 00:01:32,280 Speaker 2: a one million chance you lose. Don't expose yourself to that. 21 00:01:32,480 --> 00:01:37,720 Speaker 2: Be strategic what you do. So with that in mind, 22 00:01:38,560 --> 00:01:44,720 Speaker 2: Kamala Harris is now trying to get another debate. Oh 23 00:01:44,959 --> 00:01:48,400 Speaker 2: and the members of the media. They declared her the 24 00:01:48,480 --> 00:01:49,880 Speaker 2: winner of the last debate. 25 00:01:50,880 --> 00:01:51,720 Speaker 3: Girl power. 26 00:01:52,000 --> 00:01:55,560 Speaker 2: Look at that girl, boss go, it's Brett Kamala. 27 00:01:55,680 --> 00:01:56,160 Speaker 1: Look at her. 28 00:01:56,440 --> 00:01:58,640 Speaker 3: She took it to that nasty old Trump. 29 00:01:59,120 --> 00:01:59,960 Speaker 1: You go, girl. 30 00:02:02,560 --> 00:02:04,960 Speaker 2: Worse than them, worst than the women doing that was 31 00:02:05,040 --> 00:02:13,400 Speaker 2: Chris Wallace. That all broken down. RETRD who who is 32 00:02:13,800 --> 00:02:16,720 Speaker 2: one percent the man his dad, the journalist, his dad was, 33 00:02:17,440 --> 00:02:20,000 Speaker 2: and he hates Trump because Trump has taunted him. 34 00:02:20,360 --> 00:02:21,280 Speaker 1: This is what he said. 35 00:02:22,400 --> 00:02:25,240 Speaker 4: I didn't think I was ever going to witness a 36 00:02:25,280 --> 00:02:28,360 Speaker 4: debate as devastating as the one that you and Dana 37 00:02:29,240 --> 00:02:33,120 Speaker 4: moderated back in June, where Joe Biden basically tanked his 38 00:02:33,360 --> 00:02:36,880 Speaker 4: reelection campaign. I think tonight was just as devastating. I 39 00:02:36,919 --> 00:02:42,200 Speaker 4: think that Kamala Harris pitched a shutout on almost every 40 00:02:42,200 --> 00:02:45,919 Speaker 4: subject I can think of. She shut Trump down on abortion, 41 00:02:46,120 --> 00:02:50,160 Speaker 4: she shut Trump down on January sixth and democracy. She 42 00:02:50,280 --> 00:02:52,720 Speaker 4: shut him down on national security, and turned to the 43 00:02:52,760 --> 00:02:55,720 Speaker 4: former president and said, the military leaders who served with 44 00:02:55,800 --> 00:02:56,480 Speaker 4: you think that. 45 00:02:56,480 --> 00:02:57,679 Speaker 1: You're a disgrace. 46 00:02:58,120 --> 00:03:01,200 Speaker 4: And then, as Dana mentioned very powerfully at the end, 47 00:03:01,240 --> 00:03:03,360 Speaker 4: made the point that she is the candidate of change 48 00:03:03,400 --> 00:03:07,040 Speaker 4: and we need to turn the page from a decade 49 00:03:07,040 --> 00:03:11,040 Speaker 4: of division and polarization. On substance, I think she pitched 50 00:03:11,080 --> 00:03:12,640 Speaker 4: a shut out. And I think she did on style 51 00:03:12,680 --> 00:03:15,760 Speaker 4: as well. I mean, the image of the debate to 52 00:03:15,800 --> 00:03:19,959 Speaker 4: me is She's there, happy, smiling, expressive. 53 00:03:19,600 --> 00:03:20,639 Speaker 1: Shaking her head. 54 00:03:22,600 --> 00:03:27,160 Speaker 4: In dismay at things Trump was saying, and Trump looked angry, scowling. 55 00:03:27,480 --> 00:03:30,280 Speaker 4: She was looking directly at the audience. He was looking 56 00:03:30,280 --> 00:03:33,280 Speaker 4: at the moderators and arguing with them, and something else. 57 00:03:34,960 --> 00:03:36,520 Speaker 1: Donald Trump looked old tonight. 58 00:03:36,800 --> 00:03:41,840 Speaker 4: And you know, somebody said on my show on Saturday, 59 00:03:42,040 --> 00:03:43,640 Speaker 4: she wins just by showing up. 60 00:03:43,680 --> 00:03:45,120 Speaker 1: I didn't know that that was going to be true. 61 00:03:45,160 --> 00:03:45,800 Speaker 1: I think it was. 62 00:03:46,080 --> 00:03:48,440 Speaker 4: She was the candidate's change, just from the moment the 63 00:03:48,440 --> 00:03:51,119 Speaker 4: two of them were on the stay. 64 00:03:51,160 --> 00:03:56,880 Speaker 2: Interestingly, polling that was done in real time that night 65 00:03:58,560 --> 00:04:07,080 Speaker 2: said something very very different. Matt Mowers was on CNN 66 00:04:07,440 --> 00:04:11,800 Speaker 2: when he cited that poll. 67 00:04:12,000 --> 00:04:14,000 Speaker 5: If you look at recording from Reuters in the New 68 00:04:14,080 --> 00:04:16,719 Speaker 5: York Times, they actually asked a number of undecided voters 69 00:04:16,720 --> 00:04:19,360 Speaker 5: in key states, how did you view the candidates going in? 70 00:04:19,560 --> 00:04:21,520 Speaker 5: How did you view them going out? Reuters, in fact 71 00:04:21,560 --> 00:04:23,960 Speaker 5: had sixty percent. I think it was six out of 72 00:04:23,960 --> 00:04:26,680 Speaker 5: ten voters who said they moved towards Trump afterwards, and 73 00:04:26,680 --> 00:04:29,279 Speaker 5: when they're asked why, they said because Kamala Harris was 74 00:04:29,320 --> 00:04:32,479 Speaker 5: evasive on her answers around the economy. And I think 75 00:04:32,560 --> 00:04:35,320 Speaker 5: she flubbed a really key opportunity she had in that 76 00:04:35,440 --> 00:04:37,280 Speaker 5: very first question when she's asked, are you better off 77 00:04:37,279 --> 00:04:39,200 Speaker 5: than you were four years ago? And she didn't show 78 00:04:39,240 --> 00:04:41,960 Speaker 5: a single really ability to connect with voters who are 79 00:04:41,960 --> 00:04:44,760 Speaker 5: feeling struggling right now in this economy and with the 80 00:04:44,800 --> 00:04:46,480 Speaker 5: price of goods and groceries and gas. 81 00:04:46,600 --> 00:04:48,040 Speaker 1: And she missed a real key moment there. 82 00:04:48,240 --> 00:04:53,039 Speaker 2: See, the media, just like with Joe Biden, when the 83 00:04:53,080 --> 00:04:56,719 Speaker 2: first debate occurred June twenty seventh, and the nation saw 84 00:04:56,960 --> 00:05:02,400 Speaker 2: how broken down Biden was, it really shocked people. The 85 00:05:02,440 --> 00:05:04,960 Speaker 2: media wasn't actually shocked. They had to pretend to be. 86 00:05:05,920 --> 00:05:09,320 Speaker 2: They knew he's been drooling on his deathbed for a 87 00:05:09,400 --> 00:05:15,119 Speaker 2: long time. The media when she was asked the most 88 00:05:15,200 --> 00:05:16,800 Speaker 2: important question of the debate. 89 00:05:17,000 --> 00:05:19,400 Speaker 5: When it comes to the economy, do you believe Americans 90 00:05:19,440 --> 00:05:21,119 Speaker 5: are better off than they were four years ago? 91 00:05:21,560 --> 00:05:25,800 Speaker 6: So I was raised as a middle class kid. 92 00:05:26,680 --> 00:05:27,680 Speaker 1: That was the moment. 93 00:05:27,800 --> 00:05:32,119 Speaker 2: The media is not disappointed by that because their thought 94 00:05:32,520 --> 00:05:34,919 Speaker 2: is well, yeah, we know she's a bimbo. We know 95 00:05:35,839 --> 00:05:40,560 Speaker 2: there's nothing there. She didn't do well. The media says 96 00:05:40,600 --> 00:05:44,080 Speaker 2: she did. That's the spin room. The next night, Greg 97 00:05:44,120 --> 00:05:47,360 Speaker 2: Guttveld called it the first DEI debate. 98 00:05:47,680 --> 00:05:50,240 Speaker 7: You know, you could say, if you complained about the refs, 99 00:05:50,600 --> 00:05:53,920 Speaker 7: you're losing. Well, if the refs are corrupt, you gotta complain, 100 00:05:54,320 --> 00:05:56,080 Speaker 7: because everybody lost. 101 00:05:56,560 --> 00:05:59,320 Speaker 1: I actually got dumber watching it. I felt like my 102 00:05:59,400 --> 00:06:00,479 Speaker 1: brain was being. 103 00:06:00,320 --> 00:06:05,839 Speaker 7: Waterboarded by the sheer nonsense of these idiot moderate moderators. 104 00:06:06,000 --> 00:06:09,400 Speaker 7: But we were so sidetracked by the mechanics of the debate, 105 00:06:09,400 --> 00:06:12,760 Speaker 7: the muted mice, that we forgot about them. I honestly 106 00:06:12,800 --> 00:06:16,239 Speaker 7: don't know how anyone can decide who won the debate. 107 00:06:16,279 --> 00:06:19,160 Speaker 7: That's like trying to guess the price of a painting that. 108 00:06:19,080 --> 00:06:20,520 Speaker 1: You suspect as a forgery. 109 00:06:21,040 --> 00:06:25,479 Speaker 7: You can't objectively decide a winner in a sham competition. 110 00:06:25,839 --> 00:06:30,440 Speaker 7: This is truly the first DEI debate where one candidate 111 00:06:30,560 --> 00:06:33,520 Speaker 7: was subjected to a high standard and the other was 112 00:06:33,520 --> 00:06:35,120 Speaker 7: held to no standards at all. 113 00:06:35,400 --> 00:06:37,039 Speaker 1: They removed the essence. 114 00:06:36,760 --> 00:06:39,320 Speaker 7: Of fairness to achieve an outcome that. 115 00:06:39,279 --> 00:06:40,919 Speaker 1: Could not be scored. 116 00:06:41,440 --> 00:06:44,640 Speaker 7: You cannot score that that is why you can't say. 117 00:06:44,640 --> 00:06:46,039 Speaker 1: Who won or who lost. 118 00:06:46,680 --> 00:06:51,520 Speaker 7: Liberally should be ashamed that your candidate needed the odds 119 00:06:51,560 --> 00:06:51,840 Speaker 7: to be. 120 00:06:51,920 --> 00:06:54,800 Speaker 1: Stalked so heavily in their favor. 121 00:06:55,120 --> 00:06:58,120 Speaker 7: You know, for many Americans, Harris entered as a mystery 122 00:06:58,400 --> 00:07:01,240 Speaker 7: and exited as a mystery, and that was the goal 123 00:07:01,320 --> 00:07:02,760 Speaker 7: to keep her under wraps. 124 00:07:03,040 --> 00:07:04,520 Speaker 1: So anyone who attributes that. 125 00:07:04,560 --> 00:07:09,520 Speaker 7: To Kamala's skill is an idiot. Congratulating Kamala for the 126 00:07:09,560 --> 00:07:14,040 Speaker 7: debate is stolen valor you should be congratulating David Mrror 127 00:07:14,280 --> 00:07:17,720 Speaker 7: and Lindsey Davis who did the heavy lifting, and so 128 00:07:17,880 --> 00:07:19,920 Speaker 7: calling that a debate is disinformation. 129 00:07:20,280 --> 00:07:21,560 Speaker 1: That's like me going into. 130 00:07:21,360 --> 00:07:24,720 Speaker 7: A bar with Tyrus and inciting a brawl and then 131 00:07:24,800 --> 00:07:28,160 Speaker 7: later taking credit for all the broken jaws. You know, 132 00:07:30,560 --> 00:07:33,960 Speaker 7: it's just And by the way, you get to say, oh, 133 00:07:33,960 --> 00:07:37,960 Speaker 7: how do you know that it's a sham? Kamala confidently 134 00:07:38,120 --> 00:07:42,400 Speaker 7: and casually unloaded all the hoaxes, the Fine People hoax, 135 00:07:42,440 --> 00:07:44,520 Speaker 7: the Bloodbath Project twenty twenty five. 136 00:07:44,360 --> 00:07:46,440 Speaker 1: The abortion band, these things have all been debunked. 137 00:07:47,120 --> 00:07:51,400 Speaker 7: Would she have done that knowing that there would be consequences? 138 00:07:52,040 --> 00:07:55,520 Speaker 1: She did that knowing there would be no consequences. No 139 00:07:55,680 --> 00:07:58,800 Speaker 1: follow ups at all. This was actually a betrayal of knowledge. 140 00:07:58,960 --> 00:08:02,200 Speaker 7: Knowledge being the act of solving a problem, and we 141 00:08:02,240 --> 00:08:04,440 Speaker 7: had agreed to what the problem was. 142 00:08:04,760 --> 00:08:05,960 Speaker 1: Who is Kamala? 143 00:08:06,640 --> 00:08:12,040 Speaker 7: The debate deliberately chose the opposite path. Instead of the 144 00:08:12,080 --> 00:08:15,320 Speaker 7: opportunity to gain knowledge, they chose to cover it up 145 00:08:15,360 --> 00:08:18,160 Speaker 7: and betray the public. You know, I went by this 146 00:08:18,240 --> 00:08:21,880 Speaker 7: stupid assumption that maybe they would ask kamalas some real 147 00:08:21,960 --> 00:08:23,040 Speaker 7: questions and follow ups. 148 00:08:23,160 --> 00:08:24,760 Speaker 1: I was tricked. Unlike the person. 149 00:08:24,480 --> 00:08:29,000 Speaker 7: Who's foolishly assumes a partner who cheated on him would 150 00:08:29,040 --> 00:08:29,800 Speaker 7: not cheat again. 151 00:08:30,080 --> 00:08:32,560 Speaker 1: But the media always cheats again, and. 152 00:08:32,480 --> 00:08:36,880 Speaker 7: We have to remind ourselves they have their interests before 153 00:08:37,040 --> 00:08:38,079 Speaker 7: your interests. 154 00:08:38,640 --> 00:08:40,360 Speaker 6: I'm talking to a friend today here reminded me of 155 00:08:40,360 --> 00:08:43,199 Speaker 6: the phrase of fred Astaire Ginger. 156 00:08:43,240 --> 00:08:45,199 Speaker 8: Rogers had to do everything backwards and in heels. 157 00:08:45,200 --> 00:08:48,440 Speaker 1: That's Republicans exactly what we always you have, don't I 158 00:08:48,600 --> 00:08:48,959 Speaker 1: know it? 159 00:08:50,120 --> 00:08:53,440 Speaker 3: Kamala Harris was just officially endorsed by I R. S 160 00:08:53,480 --> 00:08:57,840 Speaker 3: Agency the Michael Berry Show. I'd rather not have that endorsement. 161 00:09:25,200 --> 00:09:28,960 Speaker 2: If you hit that first drum, set that first mark, 162 00:09:30,280 --> 00:09:31,680 Speaker 2: and you're back, probably. 163 00:09:33,880 --> 00:09:34,320 Speaker 1: I'm with you. 164 00:09:36,760 --> 00:09:37,440 Speaker 3: Former JD. 165 00:09:37,640 --> 00:09:46,000 Speaker 2: Vance Senate campaign staffer Ryan Jardowski Jurdusky is now a 166 00:09:46,040 --> 00:09:52,160 Speaker 2: CNN contributor. I don't know Ryan well, we've communicated by email. 167 00:09:53,559 --> 00:09:55,920 Speaker 2: He came very highly recommended to me by some people 168 00:09:55,920 --> 00:09:59,000 Speaker 2: in politics that I trust that are they're good minds, 169 00:09:59,120 --> 00:10:02,240 Speaker 2: really smart guy. There are a lot of people that 170 00:10:02,480 --> 00:10:06,640 Speaker 2: end up as campaign staffers and consultants and strategists who 171 00:10:06,679 --> 00:10:11,439 Speaker 2: frankly are not very good at what they're supposed to 172 00:10:11,440 --> 00:10:16,000 Speaker 2: be their core competency. But what they're very good at 173 00:10:16,640 --> 00:10:22,400 Speaker 2: is sucking money out of candidates. And look, just because 174 00:10:22,400 --> 00:10:24,679 Speaker 2: you're a good doctor doesn't mean you're a good businessman, 175 00:10:25,360 --> 00:10:27,680 Speaker 2: and that's why a lot of doctors have made a 176 00:10:27,679 --> 00:10:29,600 Speaker 2: lot of money over the years and have. 177 00:10:29,600 --> 00:10:30,480 Speaker 1: Nothing to show for it. 178 00:10:31,520 --> 00:10:34,880 Speaker 2: And by the same token, you can be a very 179 00:10:34,920 --> 00:10:39,160 Speaker 2: good politician, even a good leader, although usually this would 180 00:10:39,280 --> 00:10:44,000 Speaker 2: kind of blend over too there and terrible at managing 181 00:10:44,040 --> 00:10:49,559 Speaker 2: your staff, including your advisors. And so what these guys 182 00:10:49,960 --> 00:10:53,640 Speaker 2: will often do is just leech off of the candidate 183 00:10:53,679 --> 00:10:56,640 Speaker 2: by telling them what they want to hear, raising as 184 00:10:56,679 --> 00:10:59,280 Speaker 2: much money as possible, and keeping as much in money 185 00:10:59,320 --> 00:11:02,600 Speaker 2: as a bob is a possibly can not all of them, 186 00:11:03,080 --> 00:11:04,480 Speaker 2: but I could mention some names. 187 00:11:04,520 --> 00:11:06,240 Speaker 1: And we have a lot. 188 00:11:06,080 --> 00:11:08,760 Speaker 2: Of office holders out there, and they would they probably 189 00:11:08,800 --> 00:11:10,080 Speaker 2: already know who I'm talking about. 190 00:11:10,480 --> 00:11:11,640 Speaker 1: Some of whom I'm talking about. 191 00:11:12,000 --> 00:11:15,680 Speaker 2: There's some people who's real core competency is not winning 192 00:11:15,760 --> 00:11:21,600 Speaker 2: elections per se. It is convincing candidates that they are 193 00:11:21,720 --> 00:11:26,440 Speaker 2: the all knowing and that they're really really smart and 194 00:11:26,520 --> 00:11:31,640 Speaker 2: the candidates, it's always embedded. It's part of that is 195 00:11:31,679 --> 00:11:38,120 Speaker 2: a psychological own. They own the candidate an officeholder and 196 00:11:38,320 --> 00:11:42,240 Speaker 2: convince them to feel good about themselves and to spend 197 00:11:42,320 --> 00:11:47,960 Speaker 2: money on this purpose. But some of the guys, and 198 00:11:48,040 --> 00:11:51,080 Speaker 2: these are the ones worth their weight in gold. Some 199 00:11:51,160 --> 00:11:55,560 Speaker 2: of the guys are really really good and really really smart. 200 00:11:57,520 --> 00:12:03,520 Speaker 2: Jiwdusky appears to be a guy who, uh, who understands 201 00:12:04,840 --> 00:12:05,679 Speaker 2: and what I mean by this? 202 00:12:05,880 --> 00:12:06,600 Speaker 1: What is good? 203 00:12:06,640 --> 00:12:08,280 Speaker 3: What's the difference with good and not so much? 204 00:12:09,400 --> 00:12:13,000 Speaker 2: Jiwdusky seems to be a guy who understands messaging. He 205 00:12:13,080 --> 00:12:17,080 Speaker 2: understands what matters to real people. If I were to 206 00:12:17,160 --> 00:12:25,040 Speaker 2: ask you, hey, Tony, what do people that live in Manhattan? 207 00:12:25,720 --> 00:12:29,000 Speaker 2: What really drives them? What matters to them? What's the 208 00:12:29,080 --> 00:12:30,920 Speaker 2: one button you can push to get them to vote 209 00:12:30,920 --> 00:12:32,920 Speaker 2: for you? Most people wouldn't be. 210 00:12:32,880 --> 00:12:33,480 Speaker 3: Able to tell you that. 211 00:12:34,840 --> 00:12:40,679 Speaker 2: How about this, Sam, what matters to New York Jewish 212 00:12:40,840 --> 00:12:45,280 Speaker 2: retirees that live in Miami or Palm Beach. 213 00:12:45,320 --> 00:12:49,160 Speaker 3: Now you don't know what. 214 00:12:49,640 --> 00:12:57,800 Speaker 2: Yesterday Trump got the Polish Residence of Pennsylvania endorsement. 215 00:12:59,160 --> 00:13:00,000 Speaker 1: Whooped to do right? 216 00:13:00,400 --> 00:13:05,280 Speaker 2: There's eight hundred thousand polls in Pennsylvania, little pockets of votes. 217 00:13:05,800 --> 00:13:08,240 Speaker 2: See Trump understands this because he was a Democrat for 218 00:13:08,280 --> 00:13:13,240 Speaker 2: a long time. This is what Republicans don't understand. Republicans 219 00:13:13,320 --> 00:13:20,680 Speaker 2: campaign on issues and patriotism. Okay, but a lot of 220 00:13:20,679 --> 00:13:26,600 Speaker 2: people consider themselves very patriotic. But they vote as a block, 221 00:13:26,960 --> 00:13:33,480 Speaker 2: as a tribe, as a community, as a collective, based 222 00:13:33,520 --> 00:13:40,760 Speaker 2: on the bond of religion, national heritage, shared ethnic heritage, 223 00:13:40,840 --> 00:13:47,280 Speaker 2: linguistic heritage. Ethnographers will tell you that people, depending on 224 00:13:47,320 --> 00:13:49,959 Speaker 2: the people they fell, deep connections to groups. 225 00:13:51,160 --> 00:13:53,480 Speaker 3: Republicans don't understand this. 226 00:13:53,480 --> 00:13:55,800 Speaker 2: This is how the Democrats get the blacks to vote 227 00:13:55,800 --> 00:13:58,719 Speaker 2: for them. This is how they get pockets of Hispanics 228 00:13:58,720 --> 00:14:01,439 Speaker 2: to vote for them. This is how they get gays 229 00:14:01,600 --> 00:14:06,800 Speaker 2: and wackos and different Puerto Ricans and Dominicans to vote 230 00:14:06,800 --> 00:14:11,000 Speaker 2: for them. Republicans don't know how to do that. Trump 231 00:14:11,040 --> 00:14:13,920 Speaker 2: knows how to do that. And part of this is 232 00:14:13,960 --> 00:14:16,559 Speaker 2: having been active in New York for so long, because 233 00:14:16,600 --> 00:14:20,160 Speaker 2: New York is very Balkanized. You've got the Dominicans, the 234 00:14:20,160 --> 00:14:27,560 Speaker 2: Puerto Ricans, you've got the Italians, Irish, and for many people, 235 00:14:27,600 --> 00:14:30,720 Speaker 2: particularly the newer immigrants, that's still their primary tie. 236 00:14:32,000 --> 00:14:32,400 Speaker 1: Anyway. 237 00:14:32,760 --> 00:14:35,400 Speaker 2: All that by way of saying, Ryan Gerdusky at CNN 238 00:14:36,120 --> 00:14:37,680 Speaker 2: is the new conservative over there. 239 00:14:37,720 --> 00:14:39,720 Speaker 1: And look, I don't like one Williams. 240 00:14:39,720 --> 00:14:41,760 Speaker 2: I don't watch Fox, but I listen to the clips 241 00:14:41,760 --> 00:14:44,680 Speaker 2: every morning when I get in, and I can't stand 242 00:14:44,720 --> 00:14:46,520 Speaker 2: one Williams. I don't know if he believes what he's 243 00:14:46,520 --> 00:14:48,000 Speaker 2: saying or that's how he pays his bills. 244 00:14:48,200 --> 00:14:48,760 Speaker 1: Either way, I. 245 00:14:48,680 --> 00:14:50,440 Speaker 3: Can't stand the guy. I think he's an idiot. 246 00:14:51,080 --> 00:14:52,760 Speaker 2: But I'm not going to waste a lot of energy 247 00:14:52,760 --> 00:14:54,240 Speaker 2: on it because part of it is, I think half 248 00:14:54,280 --> 00:14:56,760 Speaker 2: of it is he's trolling. He's there to say the 249 00:14:56,800 --> 00:15:00,360 Speaker 2: dumb stuff so the other guys look smart. But I 250 00:15:00,440 --> 00:15:04,040 Speaker 2: will gladly let Juan william spew nonsense every night in 251 00:15:04,120 --> 00:15:07,840 Speaker 2: exchange for Ryan Jorwdusky and Scott Jennings, who's done a 252 00:15:07,880 --> 00:15:09,920 Speaker 2: phenomenal voice on CNM. 253 00:15:10,120 --> 00:15:13,720 Speaker 3: I didn't know Scott Jennings. He has been wonderful. 254 00:15:15,200 --> 00:15:22,920 Speaker 2: So Jiwdusky, the New Conservative contributor and Scott Jennings were 255 00:15:22,920 --> 00:15:27,520 Speaker 2: debating the situation in Springfield, Ohio, when they they tried 256 00:15:27,600 --> 00:15:33,440 Speaker 2: to paint Drawdusky as a bad person. They tried to 257 00:15:33,480 --> 00:15:37,720 Speaker 2: paint Grawdusky as he's such a you know, you're we're 258 00:15:37,840 --> 00:15:40,320 Speaker 2: good people because we have these views and you're a 259 00:15:40,520 --> 00:15:41,320 Speaker 2: bad person. 260 00:15:41,360 --> 00:15:43,240 Speaker 1: And he wouldn't. He didn't stand for that. 261 00:15:44,120 --> 00:15:47,960 Speaker 8: Or these Haitian immigrants came to to this town in Ohio. 262 00:15:48,240 --> 00:15:49,960 Speaker 1: There were jobs there, but. 263 00:15:49,880 --> 00:15:54,040 Speaker 8: Those jobs were open and going unfulfilled, and employers were 264 00:15:54,080 --> 00:15:55,840 Speaker 8: doing everything that they could to fill the jobs. 265 00:15:56,040 --> 00:16:00,160 Speaker 1: No one would fill them. For immigrants resume for the 266 00:16:00,200 --> 00:16:03,080 Speaker 1: reason there were jobs. Why are you blaming them for that? 267 00:16:03,160 --> 00:16:04,320 Speaker 1: Blaming them? I'm not blaming that. 268 00:16:04,360 --> 00:16:05,720 Speaker 9: I don't hate Haitian immigrants at all. 269 00:16:06,240 --> 00:16:08,080 Speaker 1: It's not about them, It's about us. 270 00:16:08,160 --> 00:16:09,760 Speaker 9: And the fact of the matter is is that in 271 00:16:09,760 --> 00:16:13,120 Speaker 9: twenty seventeen, under Trump's presidency, the reason Springfield had the 272 00:16:13,200 --> 00:16:16,480 Speaker 9: surge was because Japanese companies started investing in Springfield because 273 00:16:16,520 --> 00:16:19,960 Speaker 9: they trusted the Trump presidency and after years of declining population, 274 00:16:20,120 --> 00:16:23,120 Speaker 9: they had this huge explosion of jobs. President Trump tried 275 00:16:23,160 --> 00:16:26,080 Speaker 9: to end the Haitian Contemporary Protective Status and went into 276 00:16:26,120 --> 00:16:26,480 Speaker 9: the courts. 277 00:16:26,680 --> 00:16:32,040 Speaker 1: Then Biden, we do have to go. 278 00:16:32,080 --> 00:16:34,680 Speaker 3: But let me just finished. 279 00:16:35,560 --> 00:16:38,800 Speaker 8: Let me let you finish thet here. The companies came in, 280 00:16:39,200 --> 00:16:41,880 Speaker 8: they could not fill the jobs, and that's the Haitians fault. 281 00:16:41,920 --> 00:16:44,080 Speaker 9: Why there's not the Haitian's fault. So there's a policy 282 00:16:44,120 --> 00:16:46,440 Speaker 9: position by the government. It's not the people. I don't 283 00:16:46,440 --> 00:16:48,560 Speaker 9: blame them for coming I blame the government for some 284 00:16:48,600 --> 00:16:51,280 Speaker 9: in there and expanding TPS to three hundred thousand Haitians 285 00:16:51,280 --> 00:16:52,200 Speaker 9: when it was fifty nine thousand. 286 00:16:52,200 --> 00:16:55,800 Speaker 8: Didn't expand they didn't expand TPS. They didn't expand TPS 287 00:16:55,840 --> 00:16:58,560 Speaker 8: to fill jobs, and no at all higher period they 288 00:16:58,600 --> 00:17:02,400 Speaker 8: expanded TPS as TPS is for people who are fleeing 289 00:17:02,880 --> 00:17:06,760 Speaker 8: countries where they are at risk of being killed or there. 290 00:17:06,640 --> 00:17:10,600 Speaker 9: Is a temporary that's the point of TPS is now a. 291 00:17:10,600 --> 00:17:12,800 Speaker 1: More permanent thing where we have people rolling for you. 292 00:17:13,920 --> 00:17:17,879 Speaker 2: It is not our responsibility to house people whose countries 293 00:17:17,920 --> 00:17:21,639 Speaker 2: have fallen apart, and there is little to no work 294 00:17:21,760 --> 00:17:24,320 Speaker 2: done to research and see if those people are in 295 00:17:24,359 --> 00:17:28,600 Speaker 2: fact fleeing evil or are the evil themselves. This is 296 00:17:28,640 --> 00:17:31,400 Speaker 2: the same Kamala Harris who is responsible for this policy. 297 00:17:31,440 --> 00:17:32,919 Speaker 3: This was back in twenty eighteen. 298 00:17:33,400 --> 00:17:37,000 Speaker 2: She is participating in a chant which is down down 299 00:17:37,160 --> 00:17:58,440 Speaker 2: with deportation. Understand who this lady is. 300 00:18:05,480 --> 00:18:05,960 Speaker 1: That's good. 301 00:18:06,359 --> 00:18:07,960 Speaker 2: I was going to let that go to the break. 302 00:18:08,119 --> 00:18:11,119 Speaker 2: I forgot how irritating that is. And she's part of it. 303 00:18:11,160 --> 00:18:13,399 Speaker 2: Do you ever notice these people the cacophony that is 304 00:18:13,440 --> 00:18:17,120 Speaker 2: their chance. They're loud. You have any of these people 305 00:18:17,119 --> 00:18:19,520 Speaker 2: who live near you, and that's part of the other 306 00:18:19,560 --> 00:18:21,920 Speaker 2: thing nobody wants to talk about is some of these 307 00:18:21,920 --> 00:18:25,720 Speaker 2: people come from these other countries. They're loud, they stay 308 00:18:25,800 --> 00:18:27,919 Speaker 2: up late, and they make a lot of noise. I know, 309 00:18:28,040 --> 00:18:29,639 Speaker 2: I sound like I want to I don't want people 310 00:18:29,640 --> 00:18:32,639 Speaker 2: off my lawn, but you know what, I want people 311 00:18:32,640 --> 00:18:35,520 Speaker 2: off my lawn. When it comes to the economy, do 312 00:18:35,600 --> 00:18:37,639 Speaker 2: you believe Americans are better off than they were four 313 00:18:37,720 --> 00:18:38,480 Speaker 2: years ago? 314 00:18:38,680 --> 00:18:39,399 Speaker 1: Modicael Berry? 315 00:18:39,520 --> 00:18:42,640 Speaker 6: So I was raised as a middle mass. 316 00:18:52,000 --> 00:19:09,560 Speaker 10: Shone jure, talented, last world and we're learnless. 317 00:19:11,320 --> 00:19:12,080 Speaker 1: They're miss. 318 00:19:17,480 --> 00:19:21,680 Speaker 11: I'm six feet wrong, Erg and I'm thinking. 319 00:19:22,800 --> 00:19:26,760 Speaker 1: You're six He's so fun. 320 00:19:39,840 --> 00:19:45,680 Speaker 3: Is it any wonder that the person responsible for the 321 00:19:45,720 --> 00:19:46,879 Speaker 3: border crisis. 322 00:19:48,520 --> 00:19:53,720 Speaker 2: Is not polling well with key demographics because people don't 323 00:19:53,760 --> 00:19:54,760 Speaker 2: want illegal immigration. 324 00:19:54,920 --> 00:19:58,359 Speaker 3: They feel it now it's no longer just a Texas. 325 00:19:58,080 --> 00:20:01,680 Speaker 2: Border town problem we've been screaming about for thirty forty years. 326 00:20:03,440 --> 00:20:07,480 Speaker 2: Now it's America's problem. These people aren't stopping at the 327 00:20:07,520 --> 00:20:10,560 Speaker 2: border or at Houston any longer. They're coming into your 328 00:20:10,680 --> 00:20:15,240 Speaker 2: town in everywhere America, and people realize these are not 329 00:20:15,400 --> 00:20:18,360 Speaker 2: the best and brightest. They're not sending their best and brightest. 330 00:20:20,160 --> 00:20:22,760 Speaker 2: These people have serious health problems that are contagious. 331 00:20:24,640 --> 00:20:28,240 Speaker 3: These people are not highly educated, they're not highly skilled. 332 00:20:29,480 --> 00:20:35,560 Speaker 2: Many of them are being trafficked, which that's unfortunate, but 333 00:20:35,760 --> 00:20:39,119 Speaker 2: that means that they are like a drug being. 334 00:20:39,000 --> 00:20:40,919 Speaker 3: Brought into a community to cause other problems. 335 00:20:41,359 --> 00:20:45,119 Speaker 2: So if people are being trafficked into your town, that 336 00:20:45,320 --> 00:20:50,280 Speaker 2: means there is a problem with why they're being trafficked, 337 00:20:50,560 --> 00:20:52,760 Speaker 2: and that has and the people that they're traffic that 338 00:20:52,960 --> 00:20:53,760 Speaker 2: are traffic. 339 00:20:53,640 --> 00:20:54,160 Speaker 1: Is the worst. 340 00:20:55,480 --> 00:20:58,000 Speaker 2: I mean, those are odd Were you cleaning your gun 341 00:20:58,080 --> 00:21:02,720 Speaker 2: to tryer went off again? Those are the problems you 342 00:21:02,760 --> 00:21:06,320 Speaker 2: don't want. Some of them are drug traffickers, some of 343 00:21:06,359 --> 00:21:08,080 Speaker 2: them are child traffickers, some of them are hitmen. 344 00:21:08,560 --> 00:21:09,440 Speaker 1: Some of them are. 345 00:21:10,960 --> 00:21:14,400 Speaker 2: Murderers and rapists and pedophiles. And by the way, rapists 346 00:21:14,440 --> 00:21:18,120 Speaker 2: and pedophiles, the recidivism rate is almost one hundred percent. 347 00:21:18,760 --> 00:21:22,840 Speaker 2: They don't stop. That's why when they moved the priests 348 00:21:23,440 --> 00:21:28,920 Speaker 2: from parish to parish, they never stopped. When they were 349 00:21:29,200 --> 00:21:31,879 Speaker 2: when they were defrocked, they never stopped. They can't stop. 350 00:21:33,240 --> 00:21:37,600 Speaker 2: Those people are sick. It is a sickness they cannot overcome. 351 00:21:38,840 --> 00:21:41,159 Speaker 2: You've got to cage them. You've got to You've got 352 00:21:41,240 --> 00:21:44,159 Speaker 2: to send them out of the general population for the. 353 00:21:44,200 --> 00:21:47,480 Speaker 3: Sake of the children. Stop thinking about the rapists and 354 00:21:47,520 --> 00:21:48,639 Speaker 3: pedophile Think of. 355 00:21:48,640 --> 00:21:53,200 Speaker 2: The children, and in this case, think of the people, 356 00:21:54,600 --> 00:21:59,439 Speaker 2: innocent people who've done nothing wrong. And these people are 357 00:21:59,480 --> 00:22:02,479 Speaker 2: coming into their communities. These people are coming into their 358 00:22:02,520 --> 00:22:05,960 Speaker 2: communities and they didn't ask for it, and they don't 359 00:22:06,000 --> 00:22:11,119 Speaker 2: want it, and there are no resources for them. And 360 00:22:11,160 --> 00:22:17,880 Speaker 2: they're raping, they're murdering, they're stealing, they're defiling, and these 361 00:22:17,960 --> 00:22:24,280 Speaker 2: people they deserved better. How can this be happening. You 362 00:22:24,400 --> 00:22:27,720 Speaker 2: shouldn't have to be ashamed of yourself that you don't 363 00:22:27,720 --> 00:22:31,280 Speaker 2: want to legal aliens coming to your house and sleeping 364 00:22:31,359 --> 00:22:32,040 Speaker 2: on your front lawn. 365 00:22:32,160 --> 00:22:35,960 Speaker 3: That's not doesn't make you a bad person. How they've 366 00:22:36,080 --> 00:22:40,560 Speaker 3: twisted and contorted and made people ashamed to say, this 367 00:22:40,720 --> 00:22:42,560 Speaker 3: is not what I wanted, this is not what I 368 00:22:42,720 --> 00:22:44,560 Speaker 3: deserve better. You do, deserve better. 369 00:22:45,400 --> 00:22:45,600 Speaker 1: You do. 370 00:22:46,880 --> 00:22:51,960 Speaker 2: There's nothing wrong with standing up for yourself. So again, 371 00:22:52,040 --> 00:22:54,359 Speaker 2: this is what we're talking about. Earlier, Ryan Jowdusky the 372 00:22:54,480 --> 00:22:58,680 Speaker 2: new conservative commentator on CNN. Here he is talking about 373 00:22:59,240 --> 00:22:59,960 Speaker 2: Kamala Harrison. 374 00:23:00,960 --> 00:23:03,920 Speaker 9: She is the worst polling democrat against Donald Trump in 375 00:23:04,040 --> 00:23:05,119 Speaker 9: history on national polls. 376 00:23:05,280 --> 00:23:06,720 Speaker 1: No one is performing worsener. 377 00:23:06,960 --> 00:23:09,960 Speaker 9: No one's freen worsener among Blacks, among Hispanics, the worst 378 00:23:10,040 --> 00:23:13,280 Speaker 9: worming democrat in modern history among the demographics, worst performing 379 00:23:13,440 --> 00:23:16,920 Speaker 9: polling wise among Jews. She is losing key factions of 380 00:23:16,960 --> 00:23:18,720 Speaker 9: the Democratic based Muslim voters. 381 00:23:18,800 --> 00:23:19,680 Speaker 1: She's that under. 382 00:23:19,520 --> 00:23:23,680 Speaker 9: Fifty two in the latest care poll among Black Muslims. 383 00:23:23,960 --> 00:23:33,160 Speaker 2: She is not doing well. Wow, forgive me for stuttering. 384 00:23:36,200 --> 00:23:40,760 Speaker 2: I am shocked. I knew the gist of that quote. 385 00:23:41,280 --> 00:23:43,760 Speaker 2: I didn't bother to listen to it because I knew 386 00:23:43,760 --> 00:23:46,080 Speaker 2: the gist of it. I just heard it for the 387 00:23:46,119 --> 00:23:46,520 Speaker 2: first time. 388 00:23:46,560 --> 00:23:46,800 Speaker 1: With you. 389 00:23:48,600 --> 00:23:49,640 Speaker 3: One more time, please remon. 390 00:23:51,880 --> 00:23:54,840 Speaker 9: She is the worst polling democrat against Donald Trump. In 391 00:23:54,960 --> 00:23:57,960 Speaker 9: history on national polls, no one is performing worsener. No 392 00:23:58,000 --> 00:24:01,160 Speaker 9: one's freen worsener among Blacks on hispatics, the worst forming 393 00:24:01,200 --> 00:24:04,719 Speaker 9: Democrat in modern history among the demographics, worse performing polling 394 00:24:04,760 --> 00:24:07,920 Speaker 9: wise among Jews. She is losing key factions of the 395 00:24:07,960 --> 00:24:11,920 Speaker 9: Democratic based Muslim voters. She's under a fifty two percent 396 00:24:12,040 --> 00:24:14,600 Speaker 9: in the latest care poll among Black Muslims. 397 00:24:14,920 --> 00:24:19,760 Speaker 3: She is not doing well well. That was CNN Ryan 398 00:24:19,840 --> 00:24:20,720 Speaker 3: Drew Dusky in there. 399 00:24:21,040 --> 00:24:24,760 Speaker 2: ABC News is reporting that Kamala Harris is polling behind 400 00:24:25,000 --> 00:24:29,760 Speaker 2: Hillary Clinton in sixteen and Biden in twenty with Hispanics. 401 00:24:30,160 --> 00:24:32,880 Speaker 12: Thirty plus point advantage for Joe Biden in the exit 402 00:24:32,920 --> 00:24:35,680 Speaker 12: polls among Latino voters. From four years ago, Hillary Clinton 403 00:24:35,720 --> 00:24:38,200 Speaker 12: won Latino voters by forty points, and of course she 404 00:24:38,400 --> 00:24:40,800 Speaker 12: still lost the presidency. So there's some real grounds to 405 00:24:40,840 --> 00:24:45,840 Speaker 12: make up across demographics, but particularly with Latino voters. Kamala 406 00:24:45,920 --> 00:24:47,720 Speaker 12: Harris has some issues that she's got to attend to. 407 00:24:51,520 --> 00:24:51,960 Speaker 1: Interesting. 408 00:24:55,800 --> 00:25:02,760 Speaker 2: Back in July, Bill Maher said Kamala Harris can't win. 409 00:25:05,040 --> 00:25:10,119 Speaker 2: Bill Mahr is a liberal, but him saying she can't 410 00:25:10,200 --> 00:25:14,520 Speaker 2: win is interesting, and I don't say this very often. 411 00:25:15,280 --> 00:25:16,479 Speaker 3: I hope Bill Maher is right. 412 00:25:17,119 --> 00:25:20,800 Speaker 13: Harris would be the first woman president, first black woman president, 413 00:25:20,920 --> 00:25:23,919 Speaker 13: and first Asian president. But I don't vote for who 414 00:25:23,960 --> 00:25:26,960 Speaker 13: will be the first. I vote for who will win. 415 00:25:27,920 --> 00:25:31,240 Speaker 13: And for whatever reason, Harris has never been popular. You 416 00:25:31,280 --> 00:25:33,240 Speaker 13: can count the number of delegate she won in the 417 00:25:33,280 --> 00:25:36,200 Speaker 13: twenty twenty primaries on one hand, as long as that 418 00:25:36,359 --> 00:25:44,960 Speaker 13: hand has no fingers. In three years as vice president, 419 00:25:45,080 --> 00:25:46,200 Speaker 13: she's been quieter. 420 00:25:46,040 --> 00:25:46,919 Speaker 1: Than an electric car. 421 00:25:47,400 --> 00:25:54,280 Speaker 13: And like an electric car, your maga uncle can't explain 422 00:25:54,400 --> 00:25:56,440 Speaker 13: why she fills him with homicidal rage. 423 00:25:58,640 --> 00:26:01,840 Speaker 1: She just does. Some times. Life isn't fair. It's not 424 00:26:02,080 --> 00:26:03,520 Speaker 1: fair that she's not popular. 425 00:26:03,600 --> 00:26:06,600 Speaker 13: She's intelligent and accomplished, and in fact was put in 426 00:26:06,720 --> 00:26:07,480 Speaker 13: charge of the border. 427 00:26:07,560 --> 00:26:10,200 Speaker 1: And look at how okay? That exactly. 428 00:26:16,680 --> 00:26:20,760 Speaker 2: The worst president, the worst vice president in the history 429 00:26:21,160 --> 00:26:21,560 Speaker 2: of our. 430 00:26:21,520 --> 00:26:23,160 Speaker 1: Country, the Michael Ferry. 431 00:26:23,280 --> 00:26:25,639 Speaker 3: We can't afford four more years of this. 432 00:26:54,280 --> 00:26:58,159 Speaker 2: Some of you will remember Danica Patrick. She is a 433 00:26:58,840 --> 00:27:04,120 Speaker 2: former professional race car driver and she is recognized as 434 00:27:04,160 --> 00:27:07,080 Speaker 2: one of the most successful women in motorsports history. That's 435 00:27:07,119 --> 00:27:09,640 Speaker 2: what I read about her in the intro. Not really, 436 00:27:10,720 --> 00:27:15,040 Speaker 2: she's hot, that's really all anybody remembers. She was the 437 00:27:15,080 --> 00:27:19,080 Speaker 2: first woman to win an IndyCar race at the two 438 00:27:19,119 --> 00:27:23,320 Speaker 2: thousand and eight Indie Japan three hundred. She competed in NASCAR. 439 00:27:24,280 --> 00:27:26,480 Speaker 2: She became the first woman to start on the pole 440 00:27:28,800 --> 00:27:32,240 Speaker 2: for the Daytona five hundred. Women had started on the 441 00:27:32,280 --> 00:27:35,479 Speaker 2: pole before, but not the Daytona five hundred twenty thirteen, 442 00:27:36,440 --> 00:27:40,280 Speaker 2: and she set records for female drivers in stock car racing. 443 00:27:41,800 --> 00:27:46,080 Speaker 3: I mean weren't a lot of other anyway. I always 444 00:27:46,160 --> 00:27:46,719 Speaker 3: kind of liked her. 445 00:27:47,320 --> 00:27:47,879 Speaker 1: She's cute. 446 00:27:48,040 --> 00:27:49,720 Speaker 3: I like that, go daddy, ad. I thought that was 447 00:27:49,840 --> 00:27:50,200 Speaker 3: very clever. 448 00:27:51,920 --> 00:27:57,240 Speaker 2: Well, Danica Patrick is also a supporter of Donald Trump. 449 00:27:58,320 --> 00:28:02,720 Speaker 14: My story starts in the December of last year. I 450 00:28:02,920 --> 00:28:07,040 Speaker 14: was going to the event in Phoenix called Amfest. Has 451 00:28:07,080 --> 00:28:07,720 Speaker 14: anyone heard of that? 452 00:28:07,840 --> 00:28:08,440 Speaker 11: Did anyone go? 453 00:28:09,560 --> 00:28:12,840 Speaker 14: Charlie Kirk does an incredible job with turning point Yes, 454 00:28:15,600 --> 00:28:21,440 Speaker 14: great human being, great American And the lineup of speakers 455 00:28:21,600 --> 00:28:23,680 Speaker 14: was just so stellar, and I thought this looks fun. 456 00:28:24,119 --> 00:28:26,880 Speaker 11: I'm local. So I said to my dad, Hey, Dad, 457 00:28:26,920 --> 00:28:27,359 Speaker 11: do you want to go? 458 00:28:27,440 --> 00:28:30,800 Speaker 14: Because my dad's been into politics forever and he said, 459 00:28:30,840 --> 00:28:32,680 Speaker 14: you know what, you should bring your sister. 460 00:28:33,560 --> 00:28:36,080 Speaker 11: So I was like, all right, I'm not gonna say 461 00:28:36,119 --> 00:28:39,160 Speaker 11: more fun, But so my sister flew out. We had 462 00:28:39,200 --> 00:28:39,880 Speaker 11: a great time. 463 00:28:40,520 --> 00:28:43,200 Speaker 14: I posted a bunch of pictures and I'm not gonna lie. 464 00:28:43,480 --> 00:28:45,160 Speaker 11: Red is my favorite color. 465 00:28:45,280 --> 00:28:46,120 Speaker 1: I don't wear it. 466 00:28:46,240 --> 00:28:48,760 Speaker 11: Because I'm Republican. I wear it because it is my 467 00:28:48,840 --> 00:28:52,760 Speaker 11: favorite color. It just works well. So the photos. 468 00:28:52,360 --> 00:28:55,720 Speaker 14: Definitely had a color theme. And I posted these photos 469 00:28:55,760 --> 00:28:59,920 Speaker 14: and I said, I love America. Let's make America great again. 470 00:29:07,040 --> 00:29:10,920 Speaker 14: People didn't like that. People looked at me like I 471 00:29:11,200 --> 00:29:15,320 Speaker 14: was like some radical right wing maga right like Mega's 472 00:29:15,320 --> 00:29:17,240 Speaker 14: got this awful connotation. 473 00:29:16,880 --> 00:29:19,520 Speaker 11: To so many people. And you know what all it 474 00:29:19,640 --> 00:29:21,240 Speaker 11: did was light of fire. 475 00:29:25,400 --> 00:29:29,000 Speaker 14: I was like, I will not be judged to live 476 00:29:29,040 --> 00:29:32,080 Speaker 14: in America, be an American, be a proud American, say 477 00:29:32,120 --> 00:29:34,680 Speaker 14: I love America and want to make America great again. 478 00:29:34,960 --> 00:29:36,720 Speaker 14: I won't be judged for it. In fact, instead of 479 00:29:36,800 --> 00:29:38,160 Speaker 14: quieting down, I'm going to get louder. 480 00:29:41,120 --> 00:29:45,640 Speaker 2: Another supporter of President Trump is the wife of Kansas 481 00:29:45,640 --> 00:29:49,840 Speaker 2: City chief quarterback Patrick Mahomes. Her name is Britney Mahomes, 482 00:29:51,680 --> 00:29:54,000 Speaker 2: and like a lot of people, she was scrolling through 483 00:29:54,560 --> 00:29:59,640 Speaker 2: posts on social media and somebody said something about what 484 00:29:59,720 --> 00:30:02,200 Speaker 2: trum uncle was saying here, and Kamala was saying that 485 00:30:02,280 --> 00:30:04,920 Speaker 2: over there and Trump's the right answer for the country, 486 00:30:04,960 --> 00:30:07,000 Speaker 2: and she's just sitting there and thinking. 487 00:30:07,000 --> 00:30:09,320 Speaker 1: Yeah, that's true. I agree. And she hit like. 488 00:30:10,720 --> 00:30:12,840 Speaker 3: She didn't put her name behind it. She didn't put 489 00:30:12,880 --> 00:30:15,360 Speaker 3: a banner out front. She just said she liked it. 490 00:30:16,320 --> 00:30:19,400 Speaker 2: That's you know, clapping or nodding your head in social 491 00:30:19,480 --> 00:30:27,360 Speaker 2: media parlance. And the media went after her as if 492 00:30:27,440 --> 00:30:32,880 Speaker 2: she killed their puppies, not Adam Ramon, not Adam, why 493 00:30:32,920 --> 00:30:37,120 Speaker 2: would she eat old. One of those media members is 494 00:30:37,240 --> 00:30:40,160 Speaker 2: Sonny I don't know how you say her name, Hustin Houston. 495 00:30:40,240 --> 00:30:41,480 Speaker 3: I've never watched that stupid show. 496 00:30:41,520 --> 00:30:41,960 Speaker 1: The view. 497 00:30:43,840 --> 00:30:47,360 Speaker 2: She says Mahomes should know better because she has biracial children. 498 00:30:49,320 --> 00:30:54,920 Speaker 3: And the reason Sonny Hustin says this is because she 499 00:30:55,200 --> 00:30:55,440 Speaker 3: is a. 500 00:30:55,680 --> 00:31:01,960 Speaker 2: No talent racist who uses ray to get everything she's 501 00:31:02,040 --> 00:31:02,600 Speaker 2: ever gotten. 502 00:31:04,040 --> 00:31:06,440 Speaker 3: That's all she has to talk about is race. 503 00:31:07,760 --> 00:31:11,640 Speaker 2: Give her a basic algebra equation that your eighth grader 504 00:31:11,720 --> 00:31:12,200 Speaker 2: could solve. 505 00:31:12,680 --> 00:31:13,480 Speaker 1: She can't solve it. 506 00:31:14,640 --> 00:31:17,200 Speaker 2: Show her a map and say pick out Russia. She 507 00:31:17,320 --> 00:31:20,600 Speaker 2: wouldn't know which side it was on. Give her a 508 00:31:20,760 --> 00:31:27,120 Speaker 2: sentence to diagram, couldn't do it. Name three writers of 509 00:31:27,240 --> 00:31:30,520 Speaker 2: the twentieth century English American. 510 00:31:30,360 --> 00:31:33,560 Speaker 3: French, you name it, couldn't do it. She's a dumb dumb. 511 00:31:35,080 --> 00:31:37,959 Speaker 2: There are a lot of people who are not smart, 512 00:31:38,200 --> 00:31:42,240 Speaker 2: and this is why the race hustle is wrong. The 513 00:31:42,360 --> 00:31:47,720 Speaker 2: race hustle allows people who are not very smart to 514 00:31:47,840 --> 00:31:50,520 Speaker 2: be elevated to positions far above where they are to 515 00:31:50,600 --> 00:31:55,200 Speaker 2: be by screaming about racism. And what happens in the 516 00:31:55,320 --> 00:31:59,040 Speaker 2: mix is they get really caught up in all this 517 00:32:00,080 --> 00:32:05,960 Speaker 2: fever a fever pitch, and they become fiends over racism. 518 00:32:06,320 --> 00:32:09,000 Speaker 3: So they see racism everywhere. It's a call. 519 00:32:10,440 --> 00:32:14,040 Speaker 2: The problem is that's all they ever know and all 520 00:32:14,120 --> 00:32:14,960 Speaker 2: they ever talk about. 521 00:32:15,200 --> 00:32:17,080 Speaker 3: But some people don't notice they're doing that. 522 00:32:18,000 --> 00:32:21,160 Speaker 2: Some people want to use this to feel better about 523 00:32:21,200 --> 00:32:25,360 Speaker 2: their own failures in life. So this is Sonny Huston 524 00:32:26,320 --> 00:32:33,440 Speaker 2: insulting Britney Mahomes for simply liking a post about Donald Trump. 525 00:32:34,120 --> 00:32:37,120 Speaker 3: How dead are you inside when you do this? 526 00:32:37,920 --> 00:32:40,440 Speaker 1: How don't get your wild I'm sure that this. 527 00:32:40,560 --> 00:32:43,440 Speaker 15: Fis effect will speak to more women about the true 528 00:32:43,520 --> 00:32:47,760 Speaker 15: character of Donald Trump and will turn them away. But 529 00:32:48,160 --> 00:32:50,360 Speaker 15: to your initial point, I know you said we weren't 530 00:32:50,360 --> 00:32:52,640 Speaker 15: going to talk about it, but I was. It just 531 00:32:52,720 --> 00:32:56,720 Speaker 15: seems to me that since she is in an interracial marriage. 532 00:32:58,160 --> 00:33:01,840 Speaker 15: She should have known that to support a racist is problematic. 533 00:33:02,840 --> 00:33:06,520 Speaker 15: Her children are biracial, and her family is one of 534 00:33:06,560 --> 00:33:09,440 Speaker 15: the families that in the seventies could not have lived 535 00:33:09,480 --> 00:33:13,960 Speaker 15: in any of Donald Trump's buildings. So it just seems 536 00:33:14,040 --> 00:33:17,920 Speaker 15: to me that maybe she's just not that politically savvy, 537 00:33:18,960 --> 00:33:22,280 Speaker 15: or maybe she's just not ready granted. 538 00:33:22,360 --> 00:33:25,120 Speaker 11: But all we know is that she liked a Trump post. 539 00:33:25,240 --> 00:33:26,360 Speaker 1: We don't know she has. 540 00:33:27,840 --> 00:33:30,440 Speaker 4: She supported him, but that's fair to interpret that she 541 00:33:30,560 --> 00:33:32,240 Speaker 4: may have, but we don't know that she's a supporter. 542 00:33:33,600 --> 00:33:36,600 Speaker 2: This was from Kamala Harris to sitting down with the 543 00:33:36,960 --> 00:33:42,560 Speaker 2: National Association of Black Journalists recently, she was asked if 544 00:33:42,600 --> 00:33:46,560 Speaker 2: she had confidence in the Sacred Service. This was right 545 00:33:46,600 --> 00:33:50,040 Speaker 2: after the second attempt on Donald Trump's life. 546 00:33:50,520 --> 00:33:53,360 Speaker 1: Do you have full confidence in the Secret Service to 547 00:33:53,520 --> 00:33:56,160 Speaker 1: protect all of you? Did you you feel safe for 548 00:33:56,240 --> 00:33:56,960 Speaker 1: you and your family? 549 00:33:57,200 --> 00:34:00,360 Speaker 11: I do, But I mean you can go back to Ohio. 550 00:34:01,200 --> 00:34:06,360 Speaker 6: Not everybody has Secret Service, and there are far too 551 00:34:06,400 --> 00:34:08,000 Speaker 6: many people in our country right now who are not 552 00:34:08,080 --> 00:34:11,719 Speaker 6: feeling safe. I mean, I look at Project twenty twenty five, 553 00:34:11,920 --> 00:34:16,200 Speaker 6: and I look at you know, like the don't say 554 00:34:16,280 --> 00:34:18,719 Speaker 6: gay laws coming out of Florida. Members of the LGBTQ 555 00:34:18,840 --> 00:34:22,840 Speaker 6: community don't feel safe right now. Immigrants or people with 556 00:34:22,880 --> 00:34:24,799 Speaker 6: an immigrant background don't feel safe right now. 557 00:34:24,920 --> 00:34:26,480 Speaker 1: Women don't feel safe right in here. 558 00:34:28,160 --> 00:34:31,960 Speaker 11: And so yes, I feel safe. 559 00:34:32,360 --> 00:34:37,440 Speaker 6: I have Secret Service protection, but that doesn't change my 560 00:34:37,600 --> 00:34:42,680 Speaker 6: perspective on the importance of fighting for the safety of 561 00:34:42,719 --> 00:34:43,840 Speaker 6: everybody in our country. 562 00:34:44,320 --> 00:34:45,280 Speaker 3: She can't help herself. 563 00:34:46,400 --> 00:34:50,319 Speaker 2: Nobody on the left camp, except for Chris Cromo, who 564 00:34:50,560 --> 00:34:51,800 Speaker 2: called Trump right after that. 565 00:34:52,440 --> 00:34:55,160 Speaker 3: Everybody else is doubling down on the rhetoric. 566 00:34:55,000 --> 00:34:57,480 Speaker 2: That got Donald Trump shot in the first place and 567 00:34:57,520 --> 00:34:58,759 Speaker 2: another attempt on his life. 568 00:35:00,640 --> 00:35:03,960 Speaker 3: They want him to die, there is no question, and 569 00:35:04,000 --> 00:35:05,480 Speaker 3: they're not even being discreet about it.