1 00:00:04,160 --> 00:00:11,240 Speaker 1: It's that time, time, time, time, luck and load. 2 00:00:11,760 --> 00:00:14,960 Speaker 2: Michael Very Show is on the air, just getting out 3 00:00:15,000 --> 00:00:20,960 Speaker 2: of here, out Canada, Canada won't be there before this, 4 00:00:21,239 --> 00:00:40,120 Speaker 2: so that you didn't know what hit him. 5 00:00:40,440 --> 00:00:43,960 Speaker 3: The Fox News Decision desk can now officially project that 6 00:00:44,120 --> 00:00:48,360 Speaker 3: Donald Trump will be good the forty seventh president of 7 00:00:48,400 --> 00:00:49,280 Speaker 3: the United States. 8 00:00:49,560 --> 00:00:52,880 Speaker 4: You guys know that my husband turned Republican this term. 9 00:00:52,920 --> 00:00:54,680 Speaker 5: I don't know why I threw his ass out of 10 00:00:54,680 --> 00:00:57,400 Speaker 5: the house. I think I'm going to sleep with his friends. 11 00:00:57,520 --> 00:00:58,720 Speaker 5: I think that's the only. 12 00:00:58,520 --> 00:00:59,920 Speaker 1: Way forty movement starting. 13 00:01:00,040 --> 00:01:01,840 Speaker 6: We're not going to die your hair anymore. We're not 14 00:01:01,840 --> 00:01:04,640 Speaker 6: going to do makeup, We're not going to use filters, 15 00:01:04,880 --> 00:01:07,520 Speaker 6: we're not going to go get the skin stuff. We're 16 00:01:07,560 --> 00:01:10,600 Speaker 6: not going to dress up and look nice. Why so 17 00:01:10,640 --> 00:01:13,280 Speaker 6: that they can come and act like they own us 18 00:01:13,319 --> 00:01:16,280 Speaker 6: because we look like this absolutely not know y'all. The 19 00:01:16,360 --> 00:01:19,480 Speaker 6: four B movement means like we gonna be cozy, comfy 20 00:01:19,560 --> 00:01:22,320 Speaker 6: in our own skin, and everyone over here is like, yeah. 21 00:01:22,240 --> 00:01:24,680 Speaker 1: Good, stretched, get ready, get prepared. 22 00:01:24,720 --> 00:01:27,440 Speaker 6: But you know what, it's fine, let's go bring it on. 23 00:01:27,760 --> 00:01:29,399 Speaker 6: You want to fight, I'm ready to fight. 24 00:01:29,600 --> 00:01:34,919 Speaker 7: There is a highly trained professional assassin out there right now, 25 00:01:35,080 --> 00:01:39,560 Speaker 7: and you have one job. 26 00:01:39,760 --> 00:01:41,800 Speaker 8: If you want to know what the left cares about, 27 00:01:43,480 --> 00:01:46,319 Speaker 8: you look at how loud they screen over issues. 28 00:01:47,000 --> 00:01:49,560 Speaker 5: You look at where they pick their fights. 29 00:01:50,920 --> 00:01:57,400 Speaker 8: This UAS aid it has them frightened because it'll basically 30 00:01:58,680 --> 00:02:04,800 Speaker 8: bankrupt all of their attack organizations. Their power comes from 31 00:02:04,880 --> 00:02:07,320 Speaker 8: the money they get from what was supposed to be 32 00:02:07,960 --> 00:02:11,160 Speaker 8: our attempts to rebuild the world and feed the poor 33 00:02:11,680 --> 00:02:15,200 Speaker 8: and provide infrastructure to countries that could get on their feed. 34 00:02:16,520 --> 00:02:19,560 Speaker 8: But instead of course these people. This happens at every 35 00:02:19,639 --> 00:02:23,760 Speaker 8: municipal level of government. You get these types of people 36 00:02:23,800 --> 00:02:27,160 Speaker 8: into government and they start diverting the cash to their 37 00:02:27,160 --> 00:02:32,920 Speaker 8: friends and family. Well, Elon Musk coming in and bringing 38 00:02:32,960 --> 00:02:42,440 Speaker 8: these young geniuses to employ artificial intelligence. AI can go 39 00:02:42,560 --> 00:02:44,959 Speaker 8: into those computers. Once he got access to the computers, 40 00:02:45,960 --> 00:02:48,760 Speaker 8: they know how to code things and pull things out 41 00:02:48,840 --> 00:02:52,320 Speaker 8: and show you the waste just like that. That's what's 42 00:02:52,400 --> 00:02:55,440 Speaker 8: upsetting the left. You can no longer bury this stuff 43 00:02:55,440 --> 00:02:58,720 Speaker 8: and hide this stuff. I don't know how to find 44 00:03:00,080 --> 00:03:07,280 Speaker 8: these computer geeks. They're all way out on the autism spectrum. 45 00:03:08,200 --> 00:03:12,560 Speaker 8: Their IQ is off the chart. They look at things 46 00:03:12,639 --> 00:03:16,960 Speaker 8: like this with a level of clarity that I can't imagine, 47 00:03:17,160 --> 00:03:23,280 Speaker 8: and they can overwhelm these computers. Because government bureaucrats are 48 00:03:23,320 --> 00:03:28,639 Speaker 8: not the best and brightest, Elon attracts these people who 49 00:03:28,680 --> 00:03:36,040 Speaker 8: are absolute rocket scientist, brain surgeon, geniuses, Einstein level stuff, 50 00:03:36,920 --> 00:03:40,680 Speaker 8: and they're look it's been in two weeks, and look 51 00:03:40,680 --> 00:03:43,680 Speaker 8: at what they've already exposed that fast. We didn't have 52 00:03:43,720 --> 00:03:45,840 Speaker 8: to have an investigation. We didn't have to have committees. 53 00:03:45,880 --> 00:03:50,960 Speaker 8: We didn't have They're sleeping on air mattresses and working 54 00:03:51,000 --> 00:03:56,040 Speaker 8: around the clock. These people are gamers and programmers and geniuses. 55 00:03:57,240 --> 00:04:03,320 Speaker 8: So here is Pocahontas focahoness on MSNBC. They're going to 56 00:04:03,400 --> 00:04:06,520 Speaker 8: do everything they can to stop Elon Musk because Elon 57 00:04:06,920 --> 00:04:11,560 Speaker 8: is exposing everything that's happening and this can't happen. They 58 00:04:11,600 --> 00:04:14,760 Speaker 8: have to stop this, and they will stop at nothing 59 00:04:14,800 --> 00:04:15,480 Speaker 8: to stop this. 60 00:04:17,160 --> 00:04:20,280 Speaker 7: We build a government to work for all of us. 61 00:04:20,680 --> 00:04:25,440 Speaker 7: We're just all better off. It's in fact the bird 62 00:04:25,520 --> 00:04:29,520 Speaker 7: flu gets under control and that our eggs won't kill us. 63 00:04:29,800 --> 00:04:32,080 Speaker 5: We are all better off. We're better off. 64 00:04:32,160 --> 00:04:36,200 Speaker 7: We make these investments infrastructure. We make this investments in 65 00:04:36,240 --> 00:04:40,160 Speaker 7: our payment system so people don't get cheated. That's how 66 00:04:40,240 --> 00:04:43,520 Speaker 7: we keep the economy going, and look, bless everybody who 67 00:04:43,520 --> 00:04:45,160 Speaker 7: gets out there and makes a fortune. 68 00:04:45,240 --> 00:04:46,880 Speaker 5: Bless everybody who gets up every. 69 00:04:46,839 --> 00:04:47,240 Speaker 9: Day and goes. 70 00:04:47,560 --> 00:04:49,520 Speaker 8: They just get out there, and I just love them. 71 00:04:49,680 --> 00:04:52,000 Speaker 8: I just love them. You know, people that's out there, 72 00:04:52,120 --> 00:04:53,200 Speaker 8: it is just doing good things. 73 00:04:53,600 --> 00:04:54,160 Speaker 5: I call it. 74 00:04:54,160 --> 00:04:58,200 Speaker 8: The government is our friend. And this dad burned Elon 75 00:04:58,400 --> 00:05:02,960 Speaker 8: Musk and Donald Trump. They're crazy and you know, God 76 00:05:03,040 --> 00:05:05,479 Speaker 8: blessed the good people out there, and we just have 77 00:05:05,560 --> 00:05:08,160 Speaker 8: to do it we can so people don't pay any 78 00:05:08,200 --> 00:05:11,560 Speaker 8: extra for eggs because people just want eggs, and the 79 00:05:11,560 --> 00:05:18,440 Speaker 8: government's here to protect them for good egg prices of all. 80 00:05:18,320 --> 00:05:20,840 Speaker 5: That or something we all invested in. 81 00:05:21,320 --> 00:05:25,160 Speaker 7: And now we've got Donald Trump and his co president 82 00:05:25,240 --> 00:05:29,120 Speaker 7: Elon Musk, and they're just running a wrecking bull. 83 00:05:29,040 --> 00:05:34,440 Speaker 8: Through Oh wait a minute, she called him his co president. 84 00:05:35,200 --> 00:05:36,480 Speaker 5: Oh my goodness. 85 00:05:37,120 --> 00:05:42,559 Speaker 8: This is very carefully designed to get under Donald Trump's skin. 86 00:05:43,600 --> 00:05:47,920 Speaker 8: One of their consultants told them that Trump is an 87 00:05:48,120 --> 00:05:53,200 Speaker 8: ego maniac. And then if you say that Elon is 88 00:05:53,240 --> 00:05:57,680 Speaker 8: the president instead of Donald, Trump will start trashing Elon. 89 00:05:57,960 --> 00:06:04,039 Speaker 8: That's how we'll do it. We'll ow smart them. Golly gee, whizz, Elizabeth, 90 00:06:04,520 --> 00:06:07,840 Speaker 8: you're doing it. Keep going rewind that a few seconds. Oh, 91 00:06:07,920 --> 00:06:11,960 Speaker 8: this is a masterclass, Elizabeth, very impressive. 92 00:06:11,960 --> 00:06:12,640 Speaker 5: In the system. 93 00:06:12,760 --> 00:06:16,039 Speaker 7: So people don't get cheated. That's how we keep the 94 00:06:16,080 --> 00:06:19,440 Speaker 7: economy going. And look, bless everybody who gets out there 95 00:06:19,440 --> 00:06:22,160 Speaker 7: and makes a fortune. Bless everybody who gets up every 96 00:06:22,200 --> 00:06:27,320 Speaker 7: day and goes to work. But understand the underpinnings of 97 00:06:27,480 --> 00:06:31,400 Speaker 7: all that are something we all invested in. And now 98 00:06:31,800 --> 00:06:35,640 Speaker 7: we've got Donald Trump and his co president Elon Musk, 99 00:06:36,200 --> 00:06:39,640 Speaker 7: and they're just running a wrecking ball through it. And 100 00:06:39,720 --> 00:06:44,279 Speaker 7: it's not like it's an abstract problem. It is really 101 00:06:44,600 --> 00:06:49,719 Speaker 7: and truly the kid who needs an aid to be 102 00:06:49,880 --> 00:06:53,400 Speaker 7: able to sit in class so that they can get 103 00:06:53,440 --> 00:06:58,119 Speaker 7: an education, taking that aid away and maybe taking away 104 00:06:58,120 --> 00:07:03,200 Speaker 7: that whole classroom. It's these very real ways that people 105 00:07:03,279 --> 00:07:04,320 Speaker 7: aren't touched by this. 106 00:07:04,839 --> 00:07:07,440 Speaker 8: My god, if you ever had a teacher like that, 107 00:07:07,640 --> 00:07:11,120 Speaker 8: I did, and you're going back to being eight years 108 00:07:11,120 --> 00:07:14,520 Speaker 8: old in this woman having control over your life. This 109 00:07:14,560 --> 00:07:16,360 Speaker 8: is the kind of woman that'll cut your wiener off 110 00:07:16,400 --> 00:07:18,400 Speaker 8: to tell you have to have your wiener cut off. 111 00:07:19,640 --> 00:07:25,360 Speaker 8: She talks like she's scolding a little child. That's how 112 00:07:25,400 --> 00:07:30,880 Speaker 8: she talks all the time. Well, she said that Donald 113 00:07:30,920 --> 00:07:32,880 Speaker 8: Trump has taking a wrecking ball to the government. 114 00:07:33,320 --> 00:07:37,080 Speaker 5: Yeah, that's what we elected him to do. Scott Jennings 115 00:07:37,080 --> 00:07:40,520 Speaker 5: on CNN, making exactly that illegal. Not illegal. 116 00:07:41,400 --> 00:07:43,520 Speaker 10: You don't like the politics of it, I'll give you 117 00:07:43,560 --> 00:07:48,600 Speaker 10: the other side. This is radical transparency on these USAID 118 00:07:48,720 --> 00:07:51,400 Speaker 10: grants and other parts of the government that typically operate 119 00:07:51,440 --> 00:07:55,080 Speaker 10: in an opaque fashion and play a lot degrees here. 120 00:07:55,120 --> 00:07:56,520 Speaker 5: I'll give you the political view. 121 00:07:56,880 --> 00:07:59,640 Speaker 10: The American people elected Donald Trump because they thought he 122 00:07:59,680 --> 00:08:03,360 Speaker 10: was going to be a sledgehammer against this government and 123 00:08:03,400 --> 00:08:06,360 Speaker 10: against the out of control bureaucracy, and Elon Musk is 124 00:08:06,360 --> 00:08:07,600 Speaker 10: the instrument of the destruction. 125 00:08:08,240 --> 00:08:09,840 Speaker 5: And there is nothing bad about. 126 00:08:09,680 --> 00:08:12,160 Speaker 10: The politics of this right now about going through the 127 00:08:12,200 --> 00:08:14,000 Speaker 10: government and reporting to the American people. 128 00:08:14,120 --> 00:08:15,920 Speaker 5: Did you know your money's going here? Did you know 129 00:08:15,960 --> 00:08:17,880 Speaker 5: your money is going there? It's all upside. 130 00:08:18,680 --> 00:08:21,400 Speaker 11: The biggest problem is from within, no ability for the 131 00:08:21,480 --> 00:08:23,760 Speaker 11: oil industry to continue to drill period. 132 00:08:25,080 --> 00:08:27,239 Speaker 3: The sick, radical people from within. 133 00:08:29,320 --> 00:08:34,120 Speaker 5: Libby League is. 134 00:08:33,520 --> 00:08:37,120 Speaker 8: An Asian American woman who was a bundler for the 135 00:08:37,160 --> 00:08:39,719 Speaker 8: Democrat Party. She raised a lot of money for the 136 00:08:39,760 --> 00:08:46,600 Speaker 8: Democrat Party and when Kamala lost, she broke ranks with 137 00:08:47,679 --> 00:08:52,120 Speaker 8: other people like herself and she started criticizing and saying, 138 00:08:53,040 --> 00:08:58,360 Speaker 8: you know, we raised a lot of money. People gave 139 00:08:58,400 --> 00:09:01,560 Speaker 8: a lot of money to help Kamala win, and that 140 00:09:01,640 --> 00:09:07,560 Speaker 8: money was squandered. That money went to stupid things. That 141 00:09:07,640 --> 00:09:10,240 Speaker 8: money paid for things that the public didn't realize we're 142 00:09:10,280 --> 00:09:13,160 Speaker 8: being paid for, which means they're not authentic, they're not real. 143 00:09:13,280 --> 00:09:17,240 Speaker 8: That's a lie, that's fraud. She has suggested that some 144 00:09:17,280 --> 00:09:19,320 Speaker 8: of that money might have been stolen, and you know 145 00:09:19,400 --> 00:09:21,640 Speaker 8: it was. I mean, look at the money that was 146 00:09:21,640 --> 00:09:26,439 Speaker 8: spent by corporations on Black Lives Matter. They sent this 147 00:09:27,240 --> 00:09:30,160 Speaker 8: blood money, They sent this money guilt money to try 148 00:09:30,200 --> 00:09:33,800 Speaker 8: to keep BLM from attacking them, and it went to 149 00:09:33,800 --> 00:09:35,800 Speaker 8: Black Lives Matter, which was going to help all these 150 00:09:35,880 --> 00:09:37,520 Speaker 8: you know, the poor black people were going to be 151 00:09:37,520 --> 00:09:39,760 Speaker 8: made so much better by this corporate money they were sending, 152 00:09:40,400 --> 00:09:44,080 Speaker 8: except it all was kept by this woman who ran it. 153 00:09:44,120 --> 00:09:46,000 Speaker 8: And she I think she has four houses in la 154 00:09:46,880 --> 00:09:51,080 Speaker 8: She's buying houses for her family. She's making millions of dollars. 155 00:09:51,200 --> 00:09:53,640 Speaker 8: So these corporations are just making this one woman rich. 156 00:09:54,400 --> 00:10:00,280 Speaker 8: It's crazy. Anyway, So Lindy Lee came out and said, 157 00:10:00,920 --> 00:10:03,520 Speaker 8: let me tell you what happened in the Kamala Harris campaign. 158 00:10:04,520 --> 00:10:07,319 Speaker 8: And yes, we want to move forward, but it's very 159 00:10:07,320 --> 00:10:10,600 Speaker 8: important to do a post mortem here and understand what 160 00:10:10,840 --> 00:10:15,080 Speaker 8: happened and understand what they were doing, because they're. 161 00:10:14,840 --> 00:10:16,400 Speaker 5: Going to do this again. 162 00:10:17,200 --> 00:10:19,240 Speaker 8: I find this This may be my favorite piece of 163 00:10:19,280 --> 00:10:22,840 Speaker 8: audio that we're using today. This is her telling, Hey, 164 00:10:22,880 --> 00:10:25,640 Speaker 8: you know all those artists who say they weren't paid 165 00:10:25,679 --> 00:10:29,720 Speaker 8: to show up and be with her, they were all paid. 166 00:10:30,840 --> 00:10:33,960 Speaker 8: They used back they used back channel ways, they paid 167 00:10:33,960 --> 00:10:38,240 Speaker 8: their production company, but they were all paid a lot 168 00:10:38,480 --> 00:10:42,840 Speaker 8: of money. This is interesting. Oh, by the way, credit 169 00:10:42,920 --> 00:10:45,560 Speaker 8: to the Sean Ryan podcast. This appeared on the Sean 170 00:10:45,640 --> 00:10:48,719 Speaker 8: Ryan podcast. He's got a very good podcast and he's 171 00:10:48,760 --> 00:10:50,920 Speaker 8: an interesting Twitter follow as well. 172 00:10:51,040 --> 00:10:54,160 Speaker 5: This is a really really well done piece. Tell me 173 00:10:54,200 --> 00:10:55,000 Speaker 5: about Beyonce. 174 00:10:56,320 --> 00:11:00,720 Speaker 9: Despite her repeated denials, Beyonce was paid, She paid book 175 00:11:01,600 --> 00:11:03,800 Speaker 9: the Harris campaign. She was paid tens of thousands of 176 00:11:03,800 --> 00:11:07,040 Speaker 9: dollars to not sing, well, no, she refused to sing. 177 00:11:07,520 --> 00:11:09,520 Speaker 9: She was paid tens of thousands of dollars to give 178 00:11:09,520 --> 00:11:12,280 Speaker 9: a speech that no one wanted to hear. And Kamala 179 00:11:12,360 --> 00:11:16,320 Speaker 9: Harris thought all these people came out to Texas to 180 00:11:16,559 --> 00:11:21,600 Speaker 9: hear her speak. Yeah, right, they came to hear Beyonce sing, 181 00:11:21,640 --> 00:11:23,640 Speaker 9: and you know what, this is the second time they 182 00:11:23,640 --> 00:11:26,840 Speaker 9: failed to deliver Beyonce. The first time was at the DNC. 183 00:11:27,160 --> 00:11:31,320 Speaker 9: They promised that Beyonce would perform. Beyonce did not perform, 184 00:11:31,600 --> 00:11:34,040 Speaker 9: So that was let down number one. Let down number two. 185 00:11:35,800 --> 00:11:39,240 Speaker 9: They went to Texas to prop up this candidate who 186 00:11:39,280 --> 00:11:43,560 Speaker 9: could never beat Ted Cruz Colin Alred, and they promised, 187 00:11:43,600 --> 00:11:47,800 Speaker 9: They told Nbcnews that Beyonce would perform. Beyonce came out 188 00:11:47,840 --> 00:11:51,120 Speaker 9: and gave this speech, this boring ass speech, and just 189 00:11:51,240 --> 00:11:54,840 Speaker 9: left without performing. And then Kama Harris got booed. She 190 00:11:54,960 --> 00:11:59,360 Speaker 9: got drowned in booze. 191 00:11:58,040 --> 00:12:00,600 Speaker 5: Because people didn't really care. She had to say. 192 00:12:00,600 --> 00:12:03,360 Speaker 9: They were there to hear at Queen Bee. So that 193 00:12:03,440 --> 00:12:06,839 Speaker 9: was number one. Beyonce was paid show up. Cardi B 194 00:12:07,200 --> 00:12:11,320 Speaker 9: was paid. Okay, Cardi B, who famously said she wasn't 195 00:12:11,320 --> 00:12:15,480 Speaker 9: paid her production company, was paid to show up. Katie 196 00:12:15,520 --> 00:12:19,680 Speaker 9: Perry was paid, Christina Aguilero is paid. These people were 197 00:12:19,760 --> 00:12:22,560 Speaker 9: all paid, and Oprah wasn't paid a million. 198 00:12:22,640 --> 00:12:23,880 Speaker 5: She was paid two million. 199 00:12:23,920 --> 00:12:28,160 Speaker 9: Okay, let's be very clear, two million dollars to Harpo Productions, 200 00:12:28,920 --> 00:12:31,000 Speaker 9: who owns her Harpo Productions. 201 00:12:31,280 --> 00:12:33,920 Speaker 5: Flip Harpo backwards. It spells out Oprah. 202 00:12:34,200 --> 00:12:37,760 Speaker 9: It's Oprah's production company was paid two million dollars to 203 00:12:37,800 --> 00:12:43,680 Speaker 9: put on that town hall in which Meryl Streep calls 204 00:12:43,720 --> 00:12:47,480 Speaker 9: her missus Madam President. It was a love fest for 205 00:12:47,559 --> 00:12:51,880 Speaker 9: Kamala Harris. So Oprah was paid two million and who else? 206 00:12:52,320 --> 00:12:55,880 Speaker 9: Al Sharpton was paid half a million dollars moments before 207 00:12:56,720 --> 00:13:01,760 Speaker 9: he interviewed her. Okay in MSNBC anchor Al Sharpton was 208 00:13:01,800 --> 00:13:05,800 Speaker 9: paid money. A so called journalist was paid money moments 209 00:13:05,800 --> 00:13:10,199 Speaker 9: before he interviewed the vice president. People like Roland Martin, 210 00:13:10,240 --> 00:13:13,120 Speaker 9: who are attacking me now? He was paid three hundred 211 00:13:13,120 --> 00:13:17,440 Speaker 9: and fifty thousand dollars to interview Kamala. Advertising costs Okay 212 00:13:17,600 --> 00:13:23,320 Speaker 9: advertising costs green quink to interview Kamala Harris. The Pennsylvania 213 00:13:23,360 --> 00:13:27,199 Speaker 9: Democratic Party was paid twenty five million dollars after the 214 00:13:27,360 --> 00:13:30,480 Speaker 9: chair raised Hell for not being paid enough. Street money. 215 00:13:30,760 --> 00:13:35,360 Speaker 9: Street money is just a boondoggle. It's a cauldron of corruption. 216 00:13:35,440 --> 00:13:38,920 Speaker 9: They just hand out money to ward leaders. And so 217 00:13:39,120 --> 00:13:42,959 Speaker 9: this is how donor money was spent. Donor money was spent, 218 00:13:43,120 --> 00:13:46,320 Speaker 9: was Donor money was basically set on fire for five 219 00:13:46,360 --> 00:13:53,160 Speaker 9: star hotels, luxury trips, private you know, charter planes, just 220 00:13:53,200 --> 00:13:57,319 Speaker 9: this ridiculous stuff. And a lot of these donors are 221 00:13:57,440 --> 00:14:01,040 Speaker 9: hard working Americans. I had people giving anywhere from ten 222 00:14:01,080 --> 00:14:03,800 Speaker 9: to fifteen dollars, all the way to a million dollars. 223 00:14:04,160 --> 00:14:07,160 Speaker 9: All of them worked hard for their money, and if 224 00:14:07,200 --> 00:14:10,440 Speaker 9: they knew that their money was spent this way, they 225 00:14:10,559 --> 00:14:11,480 Speaker 9: never would have given. 226 00:14:12,880 --> 00:14:15,600 Speaker 5: You know, there's a lot of corruption coming out right 227 00:14:15,600 --> 00:14:19,080 Speaker 5: now about USAID. Did they fund any of this campaign? 228 00:14:20,520 --> 00:14:23,000 Speaker 9: I don't think they funded any of the hairs campaign. 229 00:14:23,080 --> 00:14:25,800 Speaker 9: But you know, the Democrats are so pissed off and 230 00:14:25,840 --> 00:14:30,000 Speaker 9: freaking out about USA AID because that is Trump got it. 231 00:14:30,520 --> 00:14:33,080 Speaker 5: He hit it on the nail. That's where the corruption is. 232 00:14:33,720 --> 00:14:36,160 Speaker 9: And we need to look into what happened with missing 233 00:14:36,240 --> 00:14:39,200 Speaker 9: Ukraine money, all those billions that were supposed to go 234 00:14:39,240 --> 00:14:41,480 Speaker 9: over there, and Zelensky said he never got it. What 235 00:14:41,520 --> 00:14:44,000 Speaker 9: the hell happened to that money? Why are we funding 236 00:14:44,080 --> 00:14:47,840 Speaker 9: transgender operas around the world? Why why are we funding 237 00:14:48,560 --> 00:14:52,040 Speaker 9: DEI programs not only here at home but across the globe. 238 00:14:52,120 --> 00:14:54,760 Speaker 8: So a couple of thoughts in reaction to this number one, 239 00:14:54,880 --> 00:14:57,920 Speaker 8: I'm glad this is coming out. I'm glad Lindy Lee 240 00:14:58,240 --> 00:15:01,640 Speaker 8: is telling what happened because the media won't, and it's 241 00:15:01,640 --> 00:15:04,920 Speaker 8: important for people to understand this. It's important for people 242 00:15:04,960 --> 00:15:11,440 Speaker 8: to understand that these celebrities are whores, that they don't. 243 00:15:11,160 --> 00:15:14,440 Speaker 5: Believe in Kamala Harris. They believe in getting paid. 244 00:15:15,560 --> 00:15:18,080 Speaker 8: But the reason to trot them out is that some 245 00:15:18,200 --> 00:15:25,560 Speaker 8: dumb people will say, oh, well, beyonces for Kamala, if 246 00:15:25,640 --> 00:15:30,000 Speaker 8: maryl Streams called, if Oprah Winfrey's for Kama. They don't 247 00:15:30,040 --> 00:15:33,200 Speaker 8: do this for nothing. They do it because some dumb 248 00:15:33,240 --> 00:15:36,880 Speaker 8: people are going to be impressed by that. Then you 249 00:15:36,920 --> 00:15:39,000 Speaker 8: find out they just paid them for it. That's it, 250 00:15:40,040 --> 00:15:43,040 Speaker 8: they just paid them for it. But I must admit 251 00:15:43,120 --> 00:15:46,600 Speaker 8: I'm glad she's coming forward and telling this. I must admit. However, 252 00:15:48,240 --> 00:15:50,480 Speaker 8: when you say, you know, these are hard working people 253 00:15:50,560 --> 00:15:53,680 Speaker 8: who gave ten or fifteen dollars to the Democrat to 254 00:15:53,760 --> 00:15:55,400 Speaker 8: help elect and if they had known. 255 00:15:55,240 --> 00:15:56,680 Speaker 5: That she was going to waste some money, they would 256 00:15:56,680 --> 00:15:57,280 Speaker 5: have never given it. 257 00:15:57,400 --> 00:16:00,400 Speaker 8: What did they give it for? They gave it in 258 00:16:00,480 --> 00:16:07,600 Speaker 8: furtherance of her being elected president. Our government spends money 259 00:16:07,800 --> 00:16:11,120 Speaker 8: exactly the way her campaign spent money, because that's how 260 00:16:11,160 --> 00:16:14,680 Speaker 8: they view money. They're entitled to it. Who are the 261 00:16:14,760 --> 00:16:17,440 Speaker 8: people giving ten or fifteen dollars to these people? Is 262 00:16:17,440 --> 00:16:20,000 Speaker 8: it a surprise to you that the Democrats waste your money? 263 00:16:20,760 --> 00:16:24,680 Speaker 8: What were you giving money for? So that somebody that's 264 00:16:24,680 --> 00:16:26,720 Speaker 8: a girl will be elected, So somebody that's a black 265 00:16:26,760 --> 00:16:27,480 Speaker 8: will be elected. 266 00:16:27,720 --> 00:16:30,600 Speaker 5: So somebody they've convinced you that is Asian is elected. 267 00:16:31,240 --> 00:16:31,760 Speaker 1: What were you. 268 00:16:31,800 --> 00:16:35,160 Speaker 8: Hoping to accompany? My mom said, have you tried to ask? 269 00:16:35,720 --> 00:16:40,680 Speaker 8: We both laughed, So harsh show. It's kind of embarrassing. 270 00:16:40,720 --> 00:16:42,440 Speaker 5: Actually he's an idiot too, a deliware. 271 00:16:43,800 --> 00:16:50,360 Speaker 8: Our president is doing a wonderful and he deserves me 272 00:16:50,520 --> 00:16:55,920 Speaker 8: telling you exactly what he's doing. He's signed an executive 273 00:16:56,000 --> 00:17:01,200 Speaker 8: order protecting girls and women in women's sports. 274 00:17:02,320 --> 00:17:02,720 Speaker 5: Now. 275 00:17:03,840 --> 00:17:06,560 Speaker 8: In so doing, he was surrounded by a bunch of girls, 276 00:17:07,640 --> 00:17:08,840 Speaker 8: and you know what was amazing. 277 00:17:09,280 --> 00:17:11,760 Speaker 5: He didn't sniff a single one of them. 278 00:17:12,280 --> 00:17:18,320 Speaker 8: Nary a one did he sniff, grope, breathe on, try 279 00:17:18,359 --> 00:17:22,679 Speaker 8: to kiss. What Joe Biden was doing was harassment and 280 00:17:22,720 --> 00:17:27,359 Speaker 8: in some cases assault, and everyone laughed about it, but 281 00:17:27,400 --> 00:17:28,560 Speaker 8: it's really not funny. 282 00:17:30,240 --> 00:17:35,080 Speaker 5: It's not funny. We had to laugh, but it's evil. 283 00:17:36,480 --> 00:17:40,359 Speaker 8: Somebody should have stopped him, so there's our president saying 284 00:17:41,840 --> 00:17:48,280 Speaker 8: girls are girls. They're softer, they're weaker, they're littler, they're 285 00:17:48,280 --> 00:17:51,879 Speaker 8: not built like boys. They're biologically different. We're not going 286 00:17:51,960 --> 00:17:55,360 Speaker 8: to let boys compete against them and hurt them, which 287 00:17:55,400 --> 00:17:58,680 Speaker 8: is what has happened. So he's signed in an executive 288 00:17:58,800 --> 00:18:04,919 Speaker 8: order to protect women's sports because boys and girls are different. 289 00:18:06,119 --> 00:18:10,679 Speaker 8: We all know that you can cut off the nuts 290 00:18:10,720 --> 00:18:12,919 Speaker 8: of a dog and it doesn't make it a girl. 291 00:18:13,960 --> 00:18:19,680 Speaker 8: We understand that, well, it doesn't change with human beings. 292 00:18:20,119 --> 00:18:21,000 Speaker 8: Here's our president. 293 00:18:22,840 --> 00:18:24,000 Speaker 5: This is very important. 294 00:18:24,400 --> 00:18:31,399 Speaker 3: We've gotten the woc lunacy out of our military, and 295 00:18:31,480 --> 00:18:36,200 Speaker 3: now we're very importantly getting it out of women's sports. 296 00:18:36,280 --> 00:18:43,080 Speaker 3: That's taking place very strong and so in recent years, 297 00:18:43,119 --> 00:18:46,080 Speaker 3: the radical left has waged an all out campaign to 298 00:18:46,119 --> 00:18:49,760 Speaker 3: erase the very concept of biological sex and replace it 299 00:18:49,800 --> 00:18:52,800 Speaker 3: with a militant transgender ideology. 300 00:18:53,280 --> 00:18:55,439 Speaker 5: You heard a little bit about this, haven't you? Just 301 00:18:55,480 --> 00:19:00,320 Speaker 5: a little bit? Does anybody agree with them? That would 302 00:19:00,359 --> 00:19:01,960 Speaker 5: be not a good thing to say. Yes. 303 00:19:02,040 --> 00:19:07,200 Speaker 3: Right here, female athletes have been forced onto the front lines, 304 00:19:07,240 --> 00:19:10,359 Speaker 3: and men claiming to be girls have stolen more than 305 00:19:10,440 --> 00:19:14,280 Speaker 3: three thousand, five hundred victories. That's a lot and invaded 306 00:19:14,280 --> 00:19:17,560 Speaker 3: more than eleven thousand competitions designed for women. 307 00:19:20,840 --> 00:19:23,719 Speaker 5: President Trump is on the right side of this issue. 308 00:19:23,960 --> 00:19:27,240 Speaker 8: First of all, it's the right side because it's the 309 00:19:27,280 --> 00:19:32,720 Speaker 8: side of science boys and girls are different. Secondly, it's 310 00:19:32,720 --> 00:19:36,600 Speaker 8: the right side because what the people want. In twenty 311 00:19:36,680 --> 00:19:43,320 Speaker 8: twenty one, there was a study done a poll where 312 00:19:43,359 --> 00:19:49,840 Speaker 8: people were asked about boys playing in girl sports. Sixty 313 00:19:49,920 --> 00:19:52,919 Speaker 8: two percent of Americans said they did not believe that 314 00:19:53,119 --> 00:19:59,399 Speaker 8: was a good thing, sixty two percent. Four years later, 315 00:20:00,200 --> 00:20:06,560 Speaker 8: seventy nine percent. Trump has been out front leading and 316 00:20:06,680 --> 00:20:12,440 Speaker 8: has moved the public. The Overton window has moved seventeen 317 00:20:12,560 --> 00:20:16,680 Speaker 8: percentage points eight out of ten, four out of five 318 00:20:17,080 --> 00:20:23,120 Speaker 8: people believe there's no place for boys in girl sports. Now, 319 00:20:23,119 --> 00:20:25,720 Speaker 8: if you got granular on these numbers, if you really 320 00:20:25,800 --> 00:20:31,320 Speaker 8: drill down, what you would find is who are those 321 00:20:31,359 --> 00:20:36,359 Speaker 8: twenty percent white liberals? Because it's sixty two percent of 322 00:20:36,440 --> 00:20:40,440 Speaker 8: Democrats who are against boys. I mean, that's three out 323 00:20:40,440 --> 00:20:43,840 Speaker 8: of five. That's pretty good majority right there. And the 324 00:20:43,920 --> 00:20:48,000 Speaker 8: reason is because Blacks don't want boys in girl sports. 325 00:20:49,480 --> 00:20:53,920 Speaker 8: His fanics don't want boys and girl sports. Asians don't 326 00:20:53,960 --> 00:20:57,360 Speaker 8: want boys and girl sports. The only people who think 327 00:20:57,400 --> 00:21:02,760 Speaker 8: it's a good idea is white liberals. The only people 328 00:21:02,800 --> 00:21:05,760 Speaker 8: who think it's a good idea is white liberals. And 329 00:21:05,840 --> 00:21:11,760 Speaker 8: when Trump made this an issue, he he bates them 330 00:21:11,920 --> 00:21:15,600 Speaker 8: into doing this. They end up taking the opposite position 331 00:21:16,560 --> 00:21:21,359 Speaker 8: and forcing the angry white liberal women force their weak 332 00:21:21,680 --> 00:21:25,680 Speaker 8: men to capitulate to this, and they become warriors for this, 333 00:21:26,480 --> 00:21:30,600 Speaker 8: and the public doesn't like it. You look like a freak, 334 00:21:31,359 --> 00:21:34,560 Speaker 8: and this is why they're losing elections. So here is 335 00:21:34,600 --> 00:21:37,959 Speaker 8: the CNN report on the new polling that I remember 336 00:21:38,280 --> 00:21:41,040 Speaker 8: this is on CNN. This isn't a conservative outlet. 337 00:21:42,119 --> 00:21:44,919 Speaker 12: I think these numbers are really illuminating on this topic 338 00:21:45,000 --> 00:21:48,560 Speaker 12: because I just think there's such a clear trend among 339 00:21:48,600 --> 00:21:52,639 Speaker 12: the American publics. So transgender female athletes in women's sports, 340 00:21:52,880 --> 00:21:56,240 Speaker 12: only eighteen percent of the country says that they should 341 00:21:56,240 --> 00:21:59,760 Speaker 12: be in fact allowed to participate in women's sports. Compare 342 00:21:59,800 --> 00:22:02,760 Speaker 12: this to the opposition. I mean, my goodness, gracious, seventy 343 00:22:02,840 --> 00:22:05,800 Speaker 12: nine percent. You rarely get seventy nine percent of the 344 00:22:05,840 --> 00:22:08,359 Speaker 12: country to agree on anything, but they do in fact 345 00:22:08,400 --> 00:22:12,080 Speaker 12: agree on the idea of opposing transgender female athletes in 346 00:22:12,160 --> 00:22:14,520 Speaker 12: women's sports. But it's not just the hero and now 347 00:22:14,560 --> 00:22:16,560 Speaker 12: Lord it's not just the hero. And now what we're 348 00:22:16,560 --> 00:22:19,840 Speaker 12: actually seeing is a trend on this particular issue, and 349 00:22:19,880 --> 00:22:20,760 Speaker 12: it's going in the. 350 00:22:20,720 --> 00:22:21,840 Speaker 5: Direction of opposition. 351 00:22:21,920 --> 00:22:25,320 Speaker 12: So take a look here, Okay, transgender female athletes, and 352 00:22:25,480 --> 00:22:28,960 Speaker 12: amongst those Americans who oppose them in women's sports. Back 353 00:22:29,000 --> 00:22:32,080 Speaker 12: in twenty twenty one, it was sixty two percent, a majority, 354 00:22:32,359 --> 00:22:37,199 Speaker 12: but you know, not anywhere close to a ginormous majority, right, 355 00:22:37,240 --> 00:22:39,880 Speaker 12: a clear majority, but not a genormous majority. But then again, 356 00:22:39,880 --> 00:22:41,680 Speaker 12: you look here in twenty twenty five, you see it 357 00:22:41,720 --> 00:22:44,760 Speaker 12: at seventy nine percent. So it's not just that the 358 00:22:44,760 --> 00:22:48,439 Speaker 12: majority of Americans are opposed to transgender female athletes in 359 00:22:48,480 --> 00:22:52,119 Speaker 12: women's sports. It's that the opposition has become considerably larger 360 00:22:52,280 --> 00:22:53,800 Speaker 12: in just the last four years. 361 00:22:54,760 --> 00:22:58,760 Speaker 8: I remember correctly, ninety four percent of Republicans said we 362 00:22:58,800 --> 00:23:02,199 Speaker 8: don't want boys and girls. That's almost unanimous. I mean, 363 00:23:02,280 --> 00:23:04,000 Speaker 8: it's you can't get one hundred percent of people to 364 00:23:04,000 --> 00:23:07,879 Speaker 8: agree that the sky is blue, sixty four percent of independence, 365 00:23:08,520 --> 00:23:13,520 Speaker 8: so almost two thirds, sixty two percent of Democrats, leaving 366 00:23:14,040 --> 00:23:17,520 Speaker 8: eighty percent of the overall public saying we don't want 367 00:23:17,560 --> 00:23:23,000 Speaker 8: boys in girls sports. What's wonderful about this issue is 368 00:23:23,040 --> 00:23:26,919 Speaker 8: that you get voters who are not terribly ideological. You 369 00:23:26,960 --> 00:23:30,960 Speaker 8: get voters who are not they're certainly not partisan, but 370 00:23:31,800 --> 00:23:34,560 Speaker 8: they kind of don't want to get engaged in much. 371 00:23:34,600 --> 00:23:38,560 Speaker 8: They don't they don't like conflict. But when you come 372 00:23:38,680 --> 00:23:43,920 Speaker 8: for their kids. I have long maintained that the two 373 00:23:43,960 --> 00:23:49,720 Speaker 8: issues that are most likely to motivate the average voter 374 00:23:50,400 --> 00:23:55,359 Speaker 8: who is not partisan, has no allegiance to either, who's 375 00:23:55,440 --> 00:24:00,199 Speaker 8: not terribly ideological. The two things you cannot touch or 376 00:24:00,240 --> 00:24:05,200 Speaker 8: they will strike out at you is their guns and 377 00:24:05,240 --> 00:24:11,720 Speaker 8: their kids. Trump understands this. I have watched, I mean 378 00:24:11,840 --> 00:24:15,719 Speaker 8: to a shocking degree. I have watched how many people 379 00:24:16,840 --> 00:24:20,400 Speaker 8: you can take their money, you can tax it, all 380 00:24:20,440 --> 00:24:23,720 Speaker 8: these different things you can do. Don't come for their gun, 381 00:24:24,720 --> 00:24:28,800 Speaker 8: and don't come for their kids. That's where the mama 382 00:24:28,800 --> 00:24:32,479 Speaker 8: bear comes out. That's where daddy's step forward and go, 383 00:24:33,960 --> 00:24:35,880 Speaker 8: not my kid, You're not doing that to my kid. 384 00:24:37,280 --> 00:24:42,680 Speaker 8: The trust the experts crowd that had kids getting hit 385 00:24:42,760 --> 00:24:45,919 Speaker 8: with the plot shot, there's a huge reaction. 386 00:24:46,119 --> 00:24:49,679 Speaker 5: The popularity of rfk JR is parent driven. 387 00:24:50,600 --> 00:24:54,760 Speaker 8: Parents are seeing that what their kids eat affects their 388 00:24:54,760 --> 00:24:56,199 Speaker 8: mood and their health. 389 00:24:56,960 --> 00:24:58,440 Speaker 5: Nicole Shanahan had shed a. 390 00:24:58,359 --> 00:25:02,399 Speaker 8: Perfectly healthy child that ends up with autism after a 391 00:25:02,520 --> 00:25:05,840 Speaker 8: quote unquote vaccination and she's on a rampage, wouldn't you 392 00:25:05,960 --> 00:25:09,200 Speaker 8: be I mean, you think about it. That Michael Berry show 393 00:25:09,400 --> 00:25:14,840 Speaker 8: the place of where Wolpe goes to die. We all 394 00:25:14,960 --> 00:25:21,760 Speaker 8: agree that we're willing to pay some taxes to go 395 00:25:21,960 --> 00:25:26,440 Speaker 8: towards when a storm hits, helping people out because it 396 00:25:26,480 --> 00:25:29,960 Speaker 8: could be us, and because these are our neighbors, because 397 00:25:29,960 --> 00:25:33,600 Speaker 8: it's the right thing to do. But when the Biden 398 00:25:33,600 --> 00:25:38,239 Speaker 8: administration would not help the people of North Carolina and 399 00:25:38,280 --> 00:25:41,560 Speaker 8: then President Trump is elected in boom, they go in 400 00:25:41,640 --> 00:25:48,560 Speaker 8: and start delivering assistance immediately. People need to see that, 401 00:25:48,680 --> 00:25:51,800 Speaker 8: they need to see the difference. We don't have to 402 00:25:51,840 --> 00:25:55,159 Speaker 8: live in a miserable hell. This can be the greatest 403 00:25:55,240 --> 00:25:58,520 Speaker 8: nation on earth again. And the people telling you that 404 00:25:58,560 --> 00:26:02,879 Speaker 8: we're not season all this stuff because they're lazy and 405 00:26:03,320 --> 00:26:08,160 Speaker 8: scandal ridden frauds, all the while calling us nasty names. 406 00:26:08,400 --> 00:26:12,560 Speaker 8: But people are now seeing this for themselves. News Nation 407 00:26:13,040 --> 00:26:16,800 Speaker 8: is now reporting that the Army Corps of Engineers has 408 00:26:16,880 --> 00:26:22,400 Speaker 8: confirmed that President Trump's executive order is the reason that 409 00:26:22,520 --> 00:26:28,320 Speaker 8: resources are now surging to western North Carolina. This is 410 00:26:28,359 --> 00:26:31,720 Speaker 8: the bully pulpit. This is what a president should do. 411 00:26:32,760 --> 00:26:35,520 Speaker 13: I was out with the US Army Corps of Engineers 412 00:26:35,560 --> 00:26:37,879 Speaker 13: all day yesterday. They are the ones in charge of 413 00:26:37,920 --> 00:26:41,040 Speaker 13: this debris removal cleanup, and they say they are surging 414 00:26:41,119 --> 00:26:44,800 Speaker 13: resources because of that executive order, that it's not a 415 00:26:44,800 --> 00:26:48,879 Speaker 13: coincidence that suddenly all of these machines are out and 416 00:26:48,920 --> 00:26:52,040 Speaker 13: about in these hard hit areas in western North Carolina. 417 00:26:52,040 --> 00:26:55,159 Speaker 5: I listened to what I was told yesterday after. 418 00:26:55,000 --> 00:26:58,600 Speaker 13: President Trump came the executive order got signed. Did you 419 00:26:58,640 --> 00:27:00,680 Speaker 13: start bringing more source is in right away? 420 00:27:01,119 --> 00:27:01,760 Speaker 5: Pretty much? 421 00:27:02,000 --> 00:27:04,920 Speaker 1: Yeah, that's we can't be instantaneous. 422 00:27:05,000 --> 00:27:08,800 Speaker 14: But we surged our own assets and resources in here 423 00:27:08,800 --> 00:27:12,400 Speaker 14: in terms of Corp of Engineers personnel first to help 424 00:27:12,480 --> 00:27:14,439 Speaker 14: us figure out, okay, what can we do what's in 425 00:27:14,480 --> 00:27:17,760 Speaker 14: the realm if possible, coordinated with the state and FEMA 426 00:27:18,119 --> 00:27:20,959 Speaker 14: to make sure that what President Trump was testing us 427 00:27:20,960 --> 00:27:24,560 Speaker 14: to do could be done. And that's really what we're 428 00:27:24,600 --> 00:27:27,520 Speaker 14: doing now. We're moving out on that executive order. 429 00:27:28,119 --> 00:27:30,240 Speaker 13: And you can see live the work happening out here 430 00:27:30,280 --> 00:27:34,480 Speaker 13: in Swanner, Noah. There was similar work happening yesterday in Asheville. 431 00:27:34,560 --> 00:27:37,920 Speaker 13: These crews are coming from all over the country, including Wisconsin. 432 00:27:38,000 --> 00:27:40,280 Speaker 13: I want to bring in in, Mike, this is your land. 433 00:27:40,800 --> 00:27:45,000 Speaker 13: You own this land. Just politics aside. What have you 434 00:27:45,119 --> 00:27:48,000 Speaker 13: noticed in the last week. Has there been a big change. 435 00:27:48,160 --> 00:27:52,240 Speaker 11: Yeah, there's been a huge surge. You know, things set 436 00:27:52,400 --> 00:27:55,520 Speaker 11: pretty inactive for probably three or four or five weeks. 437 00:27:55,520 --> 00:27:58,800 Speaker 11: We didn't see any army and corp of engineers that 438 00:27:58,960 --> 00:28:01,800 Speaker 11: really work. And yesterday I get a phone call, Hey, 439 00:28:01,800 --> 00:28:03,600 Speaker 11: we're out here. We're going to clean up the river. 440 00:28:04,000 --> 00:28:06,000 Speaker 11: Can we use your proper to access the river? And 441 00:28:06,040 --> 00:28:09,199 Speaker 11: I said, absolutely had no idea what I was going 442 00:28:09,240 --> 00:28:11,159 Speaker 11: to see when I showed up today. There's millions of 443 00:28:11,160 --> 00:28:14,680 Speaker 11: dollars worth of equipment in the river cleaning up. Talk 444 00:28:14,760 --> 00:28:16,800 Speaker 11: to the guy who heads the company and he said, 445 00:28:16,960 --> 00:28:19,800 Speaker 11: once that executive order was signed, they were put on 446 00:28:19,800 --> 00:28:20,800 Speaker 11: the go to get going. 447 00:28:20,640 --> 00:28:21,600 Speaker 5: As fast as they could. 448 00:28:21,680 --> 00:28:24,800 Speaker 11: So what's happening would have taken me years and years 449 00:28:24,800 --> 00:28:26,800 Speaker 11: and years and millions of dollars. 450 00:28:27,440 --> 00:28:29,840 Speaker 5: So to me, it's just a fantastic gift. 451 00:28:30,280 --> 00:28:31,800 Speaker 1: Yeah, it is amazing to see, Martie. 452 00:28:31,800 --> 00:28:32,760 Speaker 5: I just want to show you again. 453 00:28:32,800 --> 00:28:35,240 Speaker 13: I mean, the way these machines get down into the water. 454 00:28:35,800 --> 00:28:38,400 Speaker 13: This is something that the locals haven't seen before. 455 00:28:38,440 --> 00:28:38,920 Speaker 1: They were so. 456 00:28:38,960 --> 00:28:42,000 Speaker 13: Concerned about the rivers and creeks out here just because 457 00:28:42,000 --> 00:28:42,960 Speaker 13: they've been such a mess. 458 00:28:42,960 --> 00:28:43,760 Speaker 5: You know, you got homes. 459 00:28:43,800 --> 00:28:45,520 Speaker 13: I mean, there's still this truog of the truck that's 460 00:28:45,520 --> 00:28:48,640 Speaker 13: still out here right in the in the waterway. So 461 00:28:48,720 --> 00:28:50,880 Speaker 13: all of this is now going to come out as 462 00:28:50,920 --> 00:28:53,959 Speaker 13: the cleanup effort really really rams up here in western 463 00:28:53,960 --> 00:28:54,680 Speaker 13: North Carolina. 464 00:28:56,440 --> 00:29:04,160 Speaker 8: You know, service members are rejoicing that wearing our uniform 465 00:29:05,680 --> 00:29:09,760 Speaker 8: to serve this country and protect this country and now 466 00:29:09,800 --> 00:29:13,760 Speaker 8: in some capacities, to aid our citizens in the case 467 00:29:13,800 --> 00:29:17,200 Speaker 8: of the National Guard and even some of these active units. 468 00:29:18,840 --> 00:29:22,560 Speaker 8: They're proud. This is what it means to make America 469 00:29:22,560 --> 00:29:28,560 Speaker 8: great again. Because accommodating the extreme fringe left by having 470 00:29:28,640 --> 00:29:31,760 Speaker 8: men parade around as women in our uniform, put it 471 00:29:31,800 --> 00:29:35,360 Speaker 8: all over social media, making a few people happy, was 472 00:29:35,440 --> 00:29:40,760 Speaker 8: destroying the esprit de corps of our entire military and 473 00:29:40,800 --> 00:29:43,040 Speaker 8: making people want to run away from it, get out 474 00:29:43,080 --> 00:29:49,120 Speaker 8: of serving. And these are people that are patriotic, patriotic 475 00:29:49,360 --> 00:29:51,960 Speaker 8: servers of our country, defenders of our nation. 476 00:29:53,160 --> 00:29:54,600 Speaker 5: Well you got to pick one or the other. 477 00:29:55,440 --> 00:29:59,320 Speaker 8: President Trump is restoring our military, and you look at 478 00:29:59,360 --> 00:30:01,960 Speaker 8: the morale and what people are saying about it. 479 00:30:01,960 --> 00:30:03,200 Speaker 5: It's incredible. 480 00:30:05,040 --> 00:30:09,560 Speaker 8: You have to understand that if you are accommodating the left, 481 00:30:10,480 --> 00:30:15,040 Speaker 8: you are making everybody else miserable. You can't accommodate the 482 00:30:15,120 --> 00:30:20,320 Speaker 8: left without consequences, and that's the important part to understand. 483 00:30:21,720 --> 00:30:26,000 Speaker 8: Brandon Straka talk to white liberal women who are the 484 00:30:26,080 --> 00:30:29,400 Speaker 8: worst people in the world at the recent Women's March, 485 00:30:30,560 --> 00:30:32,880 Speaker 8: and one of the women was holding a sign that 486 00:30:32,920 --> 00:30:36,960 Speaker 8: read trust Black Women. That's her sign as white woman. 487 00:30:37,040 --> 00:30:40,600 Speaker 8: She's like, trust black women. Look at me, I'm virtue 488 00:30:40,720 --> 00:30:42,800 Speaker 8: signaling trust black. 489 00:30:42,520 --> 00:30:46,240 Speaker 5: Women and listen to the conversation. 490 00:30:47,240 --> 00:30:48,400 Speaker 1: What does this say mean to you? 491 00:30:48,880 --> 00:30:52,760 Speaker 4: Yeah, black women are probably the least respected in America. 492 00:30:53,120 --> 00:30:56,040 Speaker 4: Their voices aren't heard, their issues aren't paid attention to. 493 00:30:56,640 --> 00:31:00,320 Speaker 4: Many white women look beyond their own personal lines trust 494 00:31:00,360 --> 00:31:02,440 Speaker 4: and they leave black women out of the conversation. And 495 00:31:02,480 --> 00:31:03,960 Speaker 4: I think America needs to change about that. 496 00:31:04,240 --> 00:31:06,800 Speaker 1: What are we not trusting them to do right now? 497 00:31:07,200 --> 00:31:10,360 Speaker 4: How to care for our country, how to care for 498 00:31:10,400 --> 00:31:12,880 Speaker 4: each other, how to stand up and fight for things 499 00:31:12,960 --> 00:31:14,000 Speaker 4: that aren't right. 500 00:31:15,520 --> 00:31:23,200 Speaker 15: Millions of black women voted for Trump. Should we trust them? 501 00:31:24,720 --> 00:31:31,000 Speaker 4: She looks like, I don't think that's true. Millions of 502 00:31:31,040 --> 00:31:32,960 Speaker 4: black women voted for Trump, way. 503 00:31:32,800 --> 00:31:34,160 Speaker 1: Too many, way too many. 504 00:31:34,280 --> 00:31:38,480 Speaker 15: It is really you should we trust them? 505 00:31:38,640 --> 00:31:41,320 Speaker 1: I don't know, maybe not trust black women. Then that's 506 00:31:41,360 --> 00:31:44,880 Speaker 1: not true. I do trust black women who'd vote for 507 00:31:45,720 --> 00:31:46,440 Speaker 1: Kamala Harris. 508 00:31:48,240 --> 00:31:54,080 Speaker 4: I think he wants to know if I trust the 509 00:31:54,080 --> 00:31:55,360 Speaker 4: black women who voted for Trump. 510 00:31:55,600 --> 00:31:58,200 Speaker 16: I think they voted against their own interests. So it's 511 00:31:58,280 --> 00:32:01,600 Speaker 16: really hard to put the idea trust together with someone 512 00:32:01,600 --> 00:32:04,760 Speaker 16: who is continuing to vote against themselves. 513 00:32:04,880 --> 00:32:07,560 Speaker 1: Right, So it sounds like they don't have very good judgment. 514 00:32:09,240 --> 00:32:11,959 Speaker 16: Yeah, I'm not sure that it's not having good judgment. 515 00:32:12,040 --> 00:32:15,240 Speaker 16: I don't think they necessarily connect the dots and I 516 00:32:15,360 --> 00:32:18,480 Speaker 16: do they're stupid. No, they're not stupid, but I think 517 00:32:18,520 --> 00:32:19,560 Speaker 16: it's some off. 518 00:32:19,680 --> 00:32:22,800 Speaker 15: No, I'm just asking because but it is hard to 519 00:32:22,800 --> 00:32:25,080 Speaker 15: trust people who are stupid and have bad judgment, right, 520 00:32:25,120 --> 00:32:27,000 Speaker 15: and black women who vote for Trump are stupid and 521 00:32:27,040 --> 00:32:28,120 Speaker 15: not bad judgment. 522 00:32:28,360 --> 00:32:31,800 Speaker 4: We did not say that they don't connect. 523 00:32:31,840 --> 00:32:34,360 Speaker 16: They don't connect the dots, and so they're looking at 524 00:32:34,400 --> 00:32:37,840 Speaker 16: only certain things and thinking that's important and not connecting 525 00:32:37,880 --> 00:32:38,320 Speaker 16: the dots. 526 00:32:38,440 --> 00:32:41,760 Speaker 15: It sounds like those black women need to be educated 527 00:32:41,760 --> 00:32:43,160 Speaker 15: by white women like you. 528 00:32:43,320 --> 00:32:44,880 Speaker 1: Yeah, not true. 529 00:32:46,120 --> 00:32:48,080 Speaker 15: Not they just need a good white woman to come 530 00:32:48,080 --> 00:32:48,920 Speaker 15: in and tell them what's up. 531 00:32:48,960 --> 00:32:51,560 Speaker 4: You're pretty words in our mouths again, and you're trading it. 532 00:32:51,960 --> 00:32:53,040 Speaker 1: I'm sorry, I don't mean to do that. 533 00:32:53,120 --> 00:32:54,920 Speaker 16: This idea that white people are going to be the 534 00:32:54,920 --> 00:32:57,040 Speaker 16: white saviers kisses me off. 535 00:32:57,160 --> 00:33:00,080 Speaker 15: But if white women like you don't educate them, how 536 00:33:00,120 --> 00:33:03,080 Speaker 15: are they ever going to learn to vote. 537 00:33:02,880 --> 00:33:04,360 Speaker 1: The way that they're supposed to vote? 538 00:33:04,720 --> 00:33:06,720 Speaker 16: You know, as a white woman, I'm happy to help 539 00:33:06,920 --> 00:33:09,560 Speaker 16: educate and talk to people, but it's not my job 540 00:33:09,600 --> 00:33:10,920 Speaker 16: to go convince somebody else. 541 00:33:11,080 --> 00:33:12,920 Speaker 15: I hope you're able to get through to some of 542 00:33:12,960 --> 00:33:14,840 Speaker 15: those untrustworthy, stupid black women. 543 00:33:15,320 --> 00:33:17,000 Speaker 1: Good luck, and. 544 00:33:17,040 --> 00:33:24,719 Speaker 5: There you have it. They use blacks as human shields. 545 00:33:25,840 --> 00:33:26,400 Speaker 5: Look at me. 546 00:33:26,920 --> 00:33:37,320 Speaker 8: I care about the poor people. You don't, No, you don't. 547 00:33:30,600 --> 00:33:42,240 Speaker 10: Nobody else has d Thank you, and good night,