1 00:00:01,960 --> 00:00:09,799 Speaker 1: It's that time, time, time, time, Luck and load. Michael 2 00:00:09,880 --> 00:00:16,560 Speaker 1: Verie Show is on the air. This is one of 3 00:00:16,560 --> 00:00:20,840 Speaker 1: my favorite topics out there right now, and I have 4 00:00:21,040 --> 00:00:24,639 Speaker 1: not had a chance to really get into this, but 5 00:00:24,760 --> 00:00:27,159 Speaker 1: let's do it now. Megan Kelly was part of a 6 00:00:27,160 --> 00:00:29,880 Speaker 1: panel at the All In Summit. That's an annual event 7 00:00:30,760 --> 00:00:34,279 Speaker 1: organized by the hosts of the All In podcast. It 8 00:00:34,320 --> 00:00:39,519 Speaker 1: brings together influential thinkers from various fields politics, business, society 9 00:00:39,560 --> 00:00:42,720 Speaker 1: to discuss what they consider to be forward looking ideas 10 00:00:42,720 --> 00:00:45,920 Speaker 1: and challenges. This year was in LA and some of 11 00:00:45,960 --> 00:00:50,320 Speaker 1: the speakers were Elon Musk, Peter Thiel, Megan Kelly. I 12 00:00:50,440 --> 00:00:54,960 Speaker 1: like Megan, so she was quick to correct the record 13 00:00:55,480 --> 00:00:57,520 Speaker 1: on Donald Trump's legal woes. 14 00:00:57,840 --> 00:01:00,680 Speaker 2: So, Megan, if we look at the five cases, you know, 15 00:01:00,720 --> 00:01:02,640 Speaker 2: six months from there, a year from now, let's assume 16 00:01:02,680 --> 00:01:04,960 Speaker 2: all five of them go to trial, he's guilty of 17 00:01:05,000 --> 00:01:05,600 Speaker 2: three so far. 18 00:01:06,040 --> 00:01:07,440 Speaker 3: But what do you what do you mean he's guilty 19 00:01:07,440 --> 00:01:07,960 Speaker 3: of three so far? 20 00:01:08,040 --> 00:01:09,520 Speaker 1: Well, he's been convicted of three. Sorry, what do you 21 00:01:09,560 --> 00:01:09,760 Speaker 1: mean know? 22 00:01:09,800 --> 00:01:10,200 Speaker 3: He hasn't. 23 00:01:13,000 --> 00:01:15,119 Speaker 1: No, Egen Carroll was guilty. 24 00:01:15,160 --> 00:01:17,119 Speaker 3: That was not a conviction. That was a civil case. 25 00:01:17,400 --> 00:01:19,200 Speaker 1: But yes, so that's what I'm talking about that, but 26 00:01:19,200 --> 00:01:22,120 Speaker 1: there's a big difference. It's still he was convicted. He 27 00:01:22,240 --> 00:01:23,120 Speaker 1: was guilty of. 28 00:01:23,160 --> 00:01:26,200 Speaker 2: That, he said on him in the. 29 00:01:27,760 --> 00:01:30,160 Speaker 1: Yeah I'm the Trump organization. They're guilty. 30 00:01:30,200 --> 00:01:32,800 Speaker 3: There was still civil liable. 31 00:01:32,560 --> 00:01:34,880 Speaker 2: Like yes, of course, but these are the cases we're 32 00:01:34,880 --> 00:01:37,039 Speaker 2: talking about. And then a third one. You know she's 33 00:01:37,040 --> 00:01:40,080 Speaker 2: a lawyer, right, yeah, of course in the third one. 34 00:01:39,720 --> 00:01:41,120 Speaker 1: I'm just talking about the five cases. 35 00:01:41,160 --> 00:01:43,840 Speaker 2: Yes, some are civil obviously, and and some some are not. 36 00:01:43,840 --> 00:01:46,399 Speaker 1: Some are criminals. But if we look at three convictions, 37 00:01:46,440 --> 00:01:48,320 Speaker 1: now you're walking it back. I'm not walking back. 38 00:01:48,360 --> 00:01:50,320 Speaker 3: There's three in which he was you should walk it back. 39 00:01:50,720 --> 00:01:55,440 Speaker 3: I'm here. Three of them he's either guilty or you 40 00:01:55,560 --> 00:01:56,280 Speaker 3: got a bad result. 41 00:01:56,400 --> 00:01:57,400 Speaker 1: Yeah, I got a bad result. 42 00:01:57,880 --> 00:02:00,080 Speaker 2: There are two more if he is found guilty of 43 00:02:00,160 --> 00:02:03,680 Speaker 2: those two more, Megan, and five of five he had 44 00:02:03,720 --> 00:02:04,520 Speaker 2: a bad result. 45 00:02:05,600 --> 00:02:08,280 Speaker 1: Way to frame it? Will? 46 00:02:08,720 --> 00:02:11,360 Speaker 2: Will you chalk all five up in your mind to 47 00:02:11,520 --> 00:02:15,480 Speaker 2: five different jurisdictions, five different prosecutors, five different juries and 48 00:02:15,600 --> 00:02:18,359 Speaker 2: or judges, all conspiring to get him. 49 00:02:20,240 --> 00:02:23,160 Speaker 3: Okay, Yes, that's all I wanted to hear your answer, Jim. 50 00:02:23,520 --> 00:02:25,359 Speaker 1: Five of five, five different US. 51 00:02:25,240 --> 00:02:28,240 Speaker 4: Stations, Egan Carroll, they changed the laws so that she 52 00:02:28,240 --> 00:02:30,280 Speaker 4: could bring a civil lawsuit against him, and she did. 53 00:02:30,360 --> 00:02:32,959 Speaker 4: New York jury New York went eighty seven percent for 54 00:02:33,160 --> 00:02:36,040 Speaker 4: Joe Biden. That the fix was in right from the start. 55 00:02:36,080 --> 00:02:38,520 Speaker 4: The fraud trial that Letitia James brought against him has 56 00:02:38,560 --> 00:02:40,640 Speaker 4: never been brought. There's no victims. The banks who were 57 00:02:40,680 --> 00:02:42,400 Speaker 4: involved said, we didn't lose a penny. What are we 58 00:02:42,440 --> 00:02:45,600 Speaker 4: doing here? We weren't damaged. Nobody was complaining except James, 59 00:02:45,639 --> 00:02:48,760 Speaker 4: who ran for office saying I will get him. Then 60 00:02:48,800 --> 00:02:51,440 Speaker 4: you have Alvin Bragg, who's a George Soros funded prosecutor 61 00:02:51,440 --> 00:02:53,359 Speaker 4: who doesn't like to prosecute any crime in New York City, 62 00:02:53,400 --> 00:02:54,959 Speaker 4: where I live for seventeen years. 63 00:02:54,800 --> 00:02:56,240 Speaker 3: Except if your name is Donald Trump. 64 00:02:56,400 --> 00:02:58,600 Speaker 4: Let's go down to Georgia where Fanny Willis and Nathan 65 00:02:58,600 --> 00:03:01,200 Speaker 4: Wade couldn't keep their libidos check long enough to actually 66 00:03:01,240 --> 00:03:03,360 Speaker 4: bring this case against Donald Trump. 67 00:03:03,960 --> 00:03:05,520 Speaker 3: It's a repeat of what was. 68 00:03:05,440 --> 00:03:08,040 Speaker 4: Happening in January sixth up in the case with Judge 69 00:03:08,120 --> 00:03:10,519 Speaker 4: chuck In, who loathes Trump and is sentenced almost every 70 00:03:10,600 --> 00:03:13,120 Speaker 4: J six defendant to way more jail time than their 71 00:03:13,160 --> 00:03:16,480 Speaker 4: counterparts would get. Those are falling apart because of presidential immunity, 72 00:03:16,480 --> 00:03:18,320 Speaker 4: which was handed down by the Supreme Court who said 73 00:03:18,520 --> 00:03:21,520 Speaker 4: you cannot bring a criminal case against a sitting president 74 00:03:21,560 --> 00:03:22,680 Speaker 4: for any official act. 75 00:03:22,919 --> 00:03:24,400 Speaker 3: Those cases have been gutted. 76 00:03:24,480 --> 00:03:27,360 Speaker 4: Also a Supreme Court ruling saying the same on January sixth, 77 00:03:27,360 --> 00:03:29,760 Speaker 4: defendants in general, and that leaves us with Florida and 78 00:03:29,800 --> 00:03:33,359 Speaker 4: the documents. And Trump has torn that apart because Jacksmith 79 00:03:33,400 --> 00:03:35,600 Speaker 4: wasn't properly appointed and isn't the right council. 80 00:03:35,920 --> 00:03:36,880 Speaker 3: But there are other issues. 81 00:03:36,920 --> 00:03:39,640 Speaker 4: They haven't even gotten to presidential immunity there, and so 82 00:03:40,800 --> 00:03:42,040 Speaker 4: that one's going nowhere as well. 83 00:03:42,080 --> 00:03:43,440 Speaker 3: And by the way, they're going to peel it up 84 00:03:43,480 --> 00:03:44,960 Speaker 3: to the Eleventh Circuit. She just threw it out. 85 00:03:45,080 --> 00:03:47,280 Speaker 4: The eleven Circuit is conservative, and thank god, so is 86 00:03:47,320 --> 00:03:49,560 Speaker 4: the current Supreme Court. They're not going to tolerate that nonsense. 87 00:03:49,680 --> 00:03:55,320 Speaker 1: Let me ask you both. While Megan Kelly was defending 88 00:03:55,360 --> 00:03:59,520 Speaker 1: Donald Trump at the All In Summit American Politics on 89 00:03:59,640 --> 00:04:06,280 Speaker 1: tickto revisited events from twenty seventeen, working to debunk the 90 00:04:06,400 --> 00:04:10,240 Speaker 1: media's false narratives about President Trump. 91 00:04:10,880 --> 00:04:14,839 Speaker 5: In twenty eighteen, NBC incorrectly reported that Trump stayed home 92 00:04:14,840 --> 00:04:17,559 Speaker 5: at Christmas time, the first US president since two thousand 93 00:04:17,560 --> 00:04:20,160 Speaker 5: and two to skip visiting the troops. The news went global, 94 00:04:20,279 --> 00:04:22,760 Speaker 5: but it wasn't true. The media had jumped the gun. 95 00:04:22,920 --> 00:04:25,680 Speaker 5: Trump and First Lady Mimania left the White House Christmas 96 00:04:25,760 --> 00:04:29,320 Speaker 5: Day to visit US soldiers in a rock On Thanksgiving, 97 00:04:29,520 --> 00:04:32,560 Speaker 5: Newsweek made a similar error, falsely reporting that Trump was 98 00:04:32,600 --> 00:04:34,920 Speaker 5: spending the holiday golfing at mar A Lago and Florida, 99 00:04:35,240 --> 00:04:38,159 Speaker 5: but the reporter had fabricated the golf story. Trump flew 100 00:04:38,160 --> 00:04:41,039 Speaker 5: to Afghanistan on Thanksgiving to again be with the troops, 101 00:04:41,320 --> 00:04:44,080 Speaker 5: making Trump the only president of US history to visit 102 00:04:44,120 --> 00:04:46,840 Speaker 5: troops in a combat zone, both on Thanksgiving and so 103 00:04:46,920 --> 00:04:50,000 Speaker 5: close to Christmas, though the press never reported that. CNN 104 00:04:50,080 --> 00:04:53,159 Speaker 5: claimed Nancy Sinatra was not happy her father's song was 105 00:04:53,200 --> 00:05:00,720 Speaker 5: played at Trump's inauguration. He did, said, Nancy sin Sure responded, 106 00:05:00,880 --> 00:05:03,240 Speaker 5: that's not true. I never said that. Why do you lie? 107 00:05:03,360 --> 00:05:07,159 Speaker 5: CNN Time falsely claimed Trump removed the bust statue of 108 00:05:07,160 --> 00:05:10,640 Speaker 5: Martin Luther King from the Oval Office. TMZ reported Trump 109 00:05:10,720 --> 00:05:14,080 Speaker 5: changed Black History Month to African American History Month. The 110 00:05:14,160 --> 00:05:16,919 Speaker 5: president's Obama, Bush, and Clinton had all called it African 111 00:05:16,920 --> 00:05:20,400 Speaker 5: American History Month, BBC, The Guardian, and others reported that 112 00:05:20,440 --> 00:05:22,839 Speaker 5: Trump wasn't bothering to listen to a speech by Italy's 113 00:05:22,839 --> 00:05:26,440 Speaker 5: prime minister since who wasn't wearing translation headphones. Turns out 114 00:05:26,480 --> 00:05:30,120 Speaker 5: he was wearing a translation earpiece. Newsweek and others reported 115 00:05:30,160 --> 00:05:32,960 Speaker 5: Poland's first lady refused to shake Trump's hand, but later 116 00:05:33,000 --> 00:05:38,680 Speaker 5: had to admit she did. CNN edited Trump's remarks to 117 00:05:38,680 --> 00:05:41,240 Speaker 5: make it seem as though he didn't realize Japan builds 118 00:05:41,279 --> 00:05:43,760 Speaker 5: cars in the US, but the poll stated may clear 119 00:05:43,800 --> 00:05:44,479 Speaker 5: that he does. 120 00:05:44,800 --> 00:05:49,080 Speaker 6: You've been creating jobs for our country for a long 121 00:05:49,080 --> 00:05:55,000 Speaker 6: long time. Several Japanese automobile industry firms have been really 122 00:05:55,040 --> 00:05:55,640 Speaker 6: doing a job. 123 00:05:56,240 --> 00:05:58,320 Speaker 5: CNN also edited a video to make it seem like 124 00:05:58,360 --> 00:06:01,360 Speaker 5: Trump impatiently dumped fish food the water at Japan's palace, 125 00:06:03,480 --> 00:06:07,880 Speaker 5: but he followed the lead of Japan's Prime minister. Newsley 126 00:06:07,960 --> 00:06:11,440 Speaker 5: claimed Ivanka Trump plagiarized one of her own speeches, which 127 00:06:11,480 --> 00:06:14,680 Speaker 5: is impossible since plagiarizing as stealing someone else's work. The 128 00:06:14,800 --> 00:06:17,840 Speaker 5: UK Telegraph apologized for at least eight mistakes in an 129 00:06:17,920 --> 00:06:21,840 Speaker 5: article criticizing Milania Trump. The New York Times, AP, CNN 130 00:06:21,880 --> 00:06:24,359 Speaker 5: and others exerpted a Trump common as that he'd called 131 00:06:24,480 --> 00:06:26,200 Speaker 5: all illegal immigrants animals. 132 00:06:27,160 --> 00:06:30,080 Speaker 6: These are people, These your animals, and. 133 00:06:30,320 --> 00:06:32,560 Speaker 5: Later corrections noted he'd been referring to members of the 134 00:06:32,640 --> 00:06:36,520 Speaker 5: murderous MS thirteen criminal gang. The New York Times magazine 135 00:06:36,560 --> 00:06:39,360 Speaker 5: and CNN shared a story showing children illegally brought into 136 00:06:39,400 --> 00:06:42,479 Speaker 5: the US supposedly in cages, but the article and photos 137 00:06:42,480 --> 00:06:46,560 Speaker 5: were actually from the Obama administration. Aujen's Bronze Press mistakenly 138 00:06:46,600 --> 00:06:49,200 Speaker 5: reported that more than one hundred thousand children brought in 139 00:06:49,279 --> 00:06:50,160 Speaker 5: by illegal. 140 00:06:49,800 --> 00:06:51,240 Speaker 1: Immigrants were being held in detention. 141 00:06:51,720 --> 00:06:54,839 Speaker 5: That was actually the total number in twenty fifteen under Obama. 142 00:06:55,279 --> 00:06:56,080 Speaker 1: Time and others. 143 00:06:55,920 --> 00:06:59,159 Speaker 5: Showed a crying Honduran child to illustrate Trumps separating illegal 144 00:06:59,200 --> 00:07:02,520 Speaker 5: immigrant parents children, but the child hadn't been separated from 145 00:07:02,520 --> 00:07:06,440 Speaker 5: her parents in the US. MSNBC falsely claimed Trump banned 146 00:07:06,440 --> 00:07:09,240 Speaker 5: the Red Cross from visiting the immigrant children. The Red 147 00:07:09,279 --> 00:07:13,080 Speaker 5: Cross said that wasn't true. MSNBC also falsely claimed that 148 00:07:13,160 --> 00:07:16,720 Speaker 5: Trump had talked about exterminating Latinos, but later corrected that 149 00:07:16,800 --> 00:07:21,000 Speaker 5: and apologized. NBC News misidentified the focus of Trump's praise 150 00:07:21,000 --> 00:07:23,080 Speaker 5: and a speech as Confederate. 151 00:07:22,600 --> 00:07:23,760 Speaker 1: General Robert E. Lee. 152 00:07:24,000 --> 00:07:26,720 Speaker 5: Actually Trump was talking about Union General Elsses S. 153 00:07:26,800 --> 00:07:30,080 Speaker 1: Grant and his name was Grant General Groove. 154 00:07:33,600 --> 00:07:36,880 Speaker 5: The Washington Post and others falsely reported that Trump supporting 155 00:07:37,080 --> 00:07:39,920 Speaker 5: pro life Catholic high school students were the aggressors in 156 00:07:39,960 --> 00:07:43,800 Speaker 5: a confrontation in Washington, DC. Several news outlets featured an 157 00:07:43,800 --> 00:07:46,320 Speaker 5: empty podium the Trump's Fourth of July celebration in twenty 158 00:07:46,400 --> 00:07:49,000 Speaker 5: nineteen and said he didn't draw crowds, but the photo 159 00:07:49,080 --> 00:07:50,119 Speaker 5: was taken before the event. 160 00:07:50,200 --> 00:07:51,880 Speaker 1: The actual crowd was huge. 161 00:07:53,080 --> 00:07:55,240 Speaker 5: The New York Times and others implied Trump hadn't paid 162 00:07:55,240 --> 00:07:58,120 Speaker 5: income taxes for eighteen years, with the record shows he 163 00:07:58,240 --> 00:08:01,440 Speaker 5: paid a higher rate than Democrats Bernie Xaners and President Obama. 164 00:08:01,960 --> 00:08:04,640 Speaker 5: Bloomberg and The Wall Street Journal reported Special Council Robert 165 00:08:04,680 --> 00:08:06,560 Speaker 5: Muller had subpoena Trump's bank records. 166 00:08:06,800 --> 00:08:07,840 Speaker 1: That wasn't true. 167 00:08:08,040 --> 00:08:10,600 Speaker 5: Politico falsely reported that Trump ohed the Bank of China 168 00:08:10,880 --> 00:08:13,080 Speaker 5: tens of millions of dollars in a loon coming due 169 00:08:13,160 --> 00:08:15,480 Speaker 5: as he dealt with China on coronavirus. 170 00:08:15,520 --> 00:08:16,240 Speaker 1: Not true. 171 00:08:16,640 --> 00:08:20,120 Speaker 5: MSNBC falsely reported that Trump had loans with Russian posigners. 172 00:08:20,560 --> 00:08:22,480 Speaker 1: Slate dot Com falsely aclaimed. 173 00:08:22,120 --> 00:08:25,119 Speaker 5: Or Russian bank server had been illicitly communicating with Trump. 174 00:08:25,160 --> 00:08:28,440 Speaker 5: Tower in The New York Times, CNN, MSNBC, and many 175 00:08:28,440 --> 00:08:31,559 Speaker 5: others falsely reported that the Hunter Biden laptop scandal story 176 00:08:31,840 --> 00:08:36,240 Speaker 5: was unsubstantiated or Russian disinformation. The New York Times reported 177 00:08:36,240 --> 00:08:39,400 Speaker 5: that Trump seized on hydroxupporklan as a miracle cure. 178 00:08:39,640 --> 00:08:41,760 Speaker 1: Trump never said that. And it may work, and it 179 00:08:41,760 --> 00:08:42,360 Speaker 1: may not work. 180 00:08:42,600 --> 00:08:45,679 Speaker 6: But if it doesn't work, it's nothing lost by doing it. 181 00:08:45,840 --> 00:08:52,400 Speaker 4: Nothing HPV HIV spooky VAGINOSI. 182 00:08:53,320 --> 00:08:57,280 Speaker 7: Sinning with your naked bod is evil and atrocious. 183 00:09:19,600 --> 00:09:22,319 Speaker 1: I don't know if we covered it, but I made 184 00:09:22,400 --> 00:09:26,600 Speaker 1: notes not to let too long go by without mentioning this. 185 00:09:27,800 --> 00:09:32,120 Speaker 1: The I R. S Agent's Union has endorsed Kamala Harris. 186 00:09:33,800 --> 00:09:38,160 Speaker 1: You know why they say that the Inflation Reduction Act 187 00:09:38,440 --> 00:09:43,640 Speaker 1: was a windfall to them. When government employees are telling 188 00:09:43,679 --> 00:09:49,280 Speaker 1: you that they're voting for Kamala Harris because she got 189 00:09:49,320 --> 00:09:53,800 Speaker 1: them a bunch more pay as part of the Inflation 190 00:09:54,040 --> 00:10:00,120 Speaker 1: Reduction Act, you do understand that printing too much money 191 00:10:00,840 --> 00:10:05,360 Speaker 1: is what causes inflation. The Inflation Reduction Act, in the 192 00:10:05,360 --> 00:10:11,319 Speaker 1: most Orwellian way, was exactly the opposite of what they said. 193 00:10:12,800 --> 00:10:15,800 Speaker 1: So now You've got Iran that's come out for Kamala. 194 00:10:17,200 --> 00:10:20,959 Speaker 1: You've got Wall Street, those guys have been plundering you 195 00:10:21,040 --> 00:10:27,320 Speaker 1: for years. You've got the FBI in their corner. Now 196 00:10:27,320 --> 00:10:32,359 Speaker 1: you've got the IRS. You've got one hundred former interns 197 00:10:32,360 --> 00:10:34,480 Speaker 1: for John McCain. What more do you need to know? 198 00:10:35,800 --> 00:10:40,960 Speaker 1: Dick Cheney supports Kamala Harris. The New York Times supports 199 00:10:41,040 --> 00:10:48,480 Speaker 1: Kamala Harris. And did I mention the IRS agents? If 200 00:10:48,520 --> 00:10:53,240 Speaker 1: that isn't enough reasons to vote against Kamala Harris, I 201 00:10:53,360 --> 00:10:58,319 Speaker 1: really don't know what is. I honestly don't know what is. 202 00:11:00,120 --> 00:11:02,040 Speaker 1: So I've pulled out a bunch of stories that I 203 00:11:02,080 --> 00:11:04,360 Speaker 1: didn't get to over the last week and a half 204 00:11:04,440 --> 00:11:08,800 Speaker 1: or so that I didn't want another day to go by. 205 00:11:09,360 --> 00:11:16,000 Speaker 1: This is the story of doctor Varma. Doctor Varma is 206 00:11:16,440 --> 00:11:21,080 Speaker 1: was the New York City COVID czar. This is a 207 00:11:21,160 --> 00:11:28,800 Speaker 1: guy who was shutting down the lives of New Yorkers. 208 00:11:30,840 --> 00:11:36,240 Speaker 1: I mean absolutely destroying their lives because to be around 209 00:11:36,280 --> 00:11:42,400 Speaker 1: other people would kill you. Kill everybody, and asked even 210 00:11:42,559 --> 00:11:51,199 Speaker 1: Crowder in his undercover investigation, learns he was forcing people 211 00:11:51,200 --> 00:11:56,200 Speaker 1: to wear masks, he was telling employers to fire workers 212 00:11:56,320 --> 00:12:00,559 Speaker 1: who didn't get the job. He shut down schools and businesses. 213 00:12:01,320 --> 00:12:06,120 Speaker 1: We couldn't be around each other. He's caught in an 214 00:12:06,200 --> 00:12:15,960 Speaker 1: undercover audio admitting to participating in sex parties while he 215 00:12:16,080 --> 00:12:19,000 Speaker 1: got Bill Deblasio, the mayor at the time, to shut 216 00:12:19,040 --> 00:12:24,800 Speaker 1: down the city. This is as sick as it gets. 217 00:12:25,080 --> 00:12:27,200 Speaker 8: It looks like a case of do as I say, 218 00:12:27,320 --> 00:12:28,120 Speaker 8: not as I don't. 219 00:12:28,480 --> 00:12:28,880 Speaker 1: Doctor j. 220 00:12:29,080 --> 00:12:31,400 Speaker 8: Barmer is admitting that at the height of the pandemic, 221 00:12:31,400 --> 00:12:34,959 Speaker 8: he attended sex parties and a dance party, even as 222 00:12:34,960 --> 00:12:37,040 Speaker 8: he know he told New Yorkers to stay away from 223 00:12:37,040 --> 00:12:38,760 Speaker 8: others to stop the spread. 224 00:12:38,440 --> 00:12:39,360 Speaker 1: Of COVID nineteen. 225 00:12:39,760 --> 00:12:44,960 Speaker 8: A councilman, Robert Holden wants his actions investigated. He was 226 00:12:45,000 --> 00:12:48,520 Speaker 8: the high priest of social distancing, even wearing a mask 227 00:12:48,559 --> 00:12:51,080 Speaker 8: at city Hall press conferences as he ordered New Yorkers 228 00:12:51,160 --> 00:12:53,800 Speaker 8: to stay away from others to limit the spread of 229 00:12:53,880 --> 00:12:54,800 Speaker 8: COVID nineteen. 230 00:12:55,160 --> 00:12:59,320 Speaker 9: This virus mutate went, it's inside human, so we need 231 00:12:59,360 --> 00:13:00,839 Speaker 9: to keep it out of humans. And again, so it 232 00:13:00,880 --> 00:13:03,839 Speaker 9: would circles back to the same thing. Really being very 233 00:13:03,840 --> 00:13:06,120 Speaker 9: strict about all the precautions that we normally follow. 234 00:13:06,360 --> 00:13:09,679 Speaker 8: While he wanted New Yorkers to be stripped about social distancing. 235 00:13:10,080 --> 00:13:13,280 Speaker 8: He is admitting tonight that he wasn't the mayor kulpa, 236 00:13:13,400 --> 00:13:16,360 Speaker 8: coming after he was caught on hidden video posted by 237 00:13:16,400 --> 00:13:20,360 Speaker 8: conservative podcaster Stephen Crowder. A spokesman for doctor Barmer told 238 00:13:20,400 --> 00:13:23,440 Speaker 8: CBS News New York that his client participated in a 239 00:13:23,520 --> 00:13:26,280 Speaker 8: dance party underneath the Wall Street Bank in June twenty 240 00:13:26,320 --> 00:13:29,640 Speaker 8: twenty one with about two hundred people. It was after 241 00:13:29,679 --> 00:13:32,319 Speaker 8: he left full time city service and was a consultant. 242 00:13:32,520 --> 00:13:33,440 Speaker 1: The spokesman said. 243 00:13:33,440 --> 00:13:35,640 Speaker 8: There were also two sex parties while he held the 244 00:13:35,679 --> 00:13:38,480 Speaker 8: city post. There were hotel parties he and his wife 245 00:13:38,480 --> 00:13:41,800 Speaker 8: held with friends, went in August twenty twenty, the other 246 00:13:41,920 --> 00:13:45,400 Speaker 8: November twenty twenty. In a statement, doctor Varmer insisted he 247 00:13:45,520 --> 00:13:48,640 Speaker 8: was quote targeted by an operative for an extremist right 248 00:13:48,679 --> 00:13:53,400 Speaker 8: wing organization determined to malign public health officials, and those 249 00:13:53,440 --> 00:13:58,080 Speaker 8: private conversations that were secretly recorded, spliced, diced, and taken 250 00:13:58,120 --> 00:14:01,320 Speaker 8: out of contexts are referred to to events that transpired 251 00:14:01,360 --> 00:14:04,520 Speaker 8: four years ago. I served in City Hall between April 252 00:14:04,559 --> 00:14:08,320 Speaker 8: twenty twenty and May twenty twenty one. During that time, 253 00:14:08,600 --> 00:14:12,800 Speaker 8: I participated in two private gatherings. I take responsibility for 254 00:14:12,920 --> 00:14:15,760 Speaker 8: not using the best judgment at the time. In the 255 00:14:15,840 --> 00:14:18,200 Speaker 8: video of Arma also bragged about helping to put in 256 00:14:18,240 --> 00:14:22,600 Speaker 8: place mandatory vaccination rules that prevented Brooklyn nets start Kyrie 257 00:14:22,640 --> 00:14:26,080 Speaker 8: Irbing from playing basketball after he refused to get the shot. 258 00:14:26,280 --> 00:14:28,840 Speaker 8: I stand by my efforts to get New Yorkers vaccinated 259 00:14:28,880 --> 00:14:32,640 Speaker 8: against COVID nineteen, doctor Barmer said, and I reject dangerous 260 00:14:32,720 --> 00:14:36,280 Speaker 8: extremist efforts to undermine the public's confidence and the need 261 00:14:36,320 --> 00:14:38,320 Speaker 8: for and effectiveness of vaccines. 262 00:14:38,840 --> 00:14:41,560 Speaker 1: The guy has no shame. It is disgusting. 263 00:14:41,720 --> 00:14:45,120 Speaker 8: Counselman Robert Holden is calling for state and federal prosecutors 264 00:14:45,120 --> 00:14:45,960 Speaker 8: to get involved. 265 00:14:46,120 --> 00:14:48,680 Speaker 10: This is a very serious thing that's going on, and 266 00:14:48,720 --> 00:14:53,080 Speaker 10: that was going on, and that's why. What else did 267 00:14:53,120 --> 00:14:55,960 Speaker 10: he do? What else did he say? What else should 268 00:14:55,960 --> 00:14:56,760 Speaker 10: we have done? 269 00:14:58,920 --> 00:15:08,000 Speaker 1: Tim Walls is a guy who has worshiped China. He 270 00:15:08,080 --> 00:15:12,200 Speaker 1: went on his honeymoon there, much as Bernie Sanders went 271 00:15:12,280 --> 00:15:17,360 Speaker 1: to Moscow. He's a really, really weird dude who has 272 00:15:18,440 --> 00:15:20,920 Speaker 1: an obsession with China. He thinks China is the ultimate 273 00:15:20,960 --> 00:15:25,480 Speaker 1: place because the people have no rights. They are molded 274 00:15:25,640 --> 00:15:32,040 Speaker 1: into robots with no rights, no individuality, and life in 275 00:15:32,120 --> 00:15:38,120 Speaker 1: China is hell. And then there is something so bad 276 00:15:38,680 --> 00:15:42,120 Speaker 1: and so reminiscent of the Democrats that you can't help 277 00:15:42,160 --> 00:15:46,040 Speaker 1: but laugh. A Chinese zoo has been forced to admit 278 00:15:46,120 --> 00:15:54,080 Speaker 1: that their pandas are actually painted dogs after viral videos 279 00:15:54,360 --> 00:15:59,400 Speaker 1: show them barking and panting. These are not panta, these 280 00:15:59,400 --> 00:16:02,200 Speaker 1: are not pan You know, things are bad for the 281 00:16:02,200 --> 00:16:06,040 Speaker 1: Democrats and the Chinese government when they go from that's 282 00:16:06,080 --> 00:16:11,720 Speaker 1: not true to having to admit it is true, but 283 00:16:11,840 --> 00:16:17,440 Speaker 1: you're a racist and Trump is Russian disinformation. This is 284 00:16:17,760 --> 00:16:22,040 Speaker 1: the Today Show from May of this year about another 285 00:16:22,160 --> 00:16:27,160 Speaker 1: zoo in China getting busted for fake pandas. They paint 286 00:16:27,200 --> 00:16:32,320 Speaker 1: a dog to look like a panda. It's just terrible. 287 00:16:35,120 --> 00:16:39,200 Speaker 11: They may be unbearably adorable, but they aren't actually bears 288 00:16:39,400 --> 00:16:42,600 Speaker 11: at all. The latest exhibited this zoo in Eastern China 289 00:16:42,720 --> 00:16:48,560 Speaker 11: had visitors doing a double take. These pandas are really 290 00:16:48,680 --> 00:16:53,120 Speaker 11: chow chow puppies advertised as panda dogs, and social media 291 00:16:53,240 --> 00:16:55,920 Speaker 11: can't get enough of them well quickly, and there's a 292 00:16:56,000 --> 00:17:00,880 Speaker 11: resemblance to the rare giant panda sort. Some zooers in 293 00:17:01,000 --> 00:17:04,520 Speaker 11: China aren't happy about what they call a deception. According 294 00:17:04,560 --> 00:17:07,080 Speaker 11: to Chinese state media, the zoo said it dyed the 295 00:17:07,119 --> 00:17:10,359 Speaker 11: dogs black and white because they didn't have any pandas. 296 00:17:10,800 --> 00:17:14,280 Speaker 11: A worker insisted visitors are not being misled and that 297 00:17:14,320 --> 00:17:18,520 Speaker 11: the fuzzy chow chows are accurately described as dogs. A 298 00:17:18,560 --> 00:17:22,240 Speaker 11: spokesperson for the zoo tells media outlet jam Press. People 299 00:17:22,400 --> 00:17:25,280 Speaker 11: also dye their hair. Natural dye can be used on 300 00:17:25,400 --> 00:17:28,000 Speaker 11: dogs if they have long fur, But how do the 301 00:17:28,119 --> 00:17:29,199 Speaker 11: dogs feel about it? 302 00:17:29,400 --> 00:17:31,720 Speaker 12: This is something that's kind of being forced on the 303 00:17:31,760 --> 00:17:33,760 Speaker 12: animal for the sake of human entertainment. 304 00:17:34,400 --> 00:17:36,560 Speaker 11: It isn't the first time a Chinese zoo was mixed 305 00:17:36,640 --> 00:17:40,920 Speaker 11: up in an animal controversy. Last year, Angelo, a Malayan sunbear, 306 00:17:40,960 --> 00:17:43,840 Speaker 11: went viral after it was caught on camera walking on 307 00:17:43,960 --> 00:17:47,679 Speaker 11: its hind legs. Social media exploded, with some claiming it 308 00:17:47,720 --> 00:17:49,480 Speaker 11: was a person dressed up as a. 309 00:17:49,400 --> 00:17:51,280 Speaker 3: Bear, which was later debunked. 310 00:17:51,760 --> 00:17:56,040 Speaker 11: Actual pandas are an incredible sight, lovable and playful, helping 311 00:17:56,119 --> 00:17:59,440 Speaker 11: to boost zoo tourism around the globe. The San Diego 312 00:17:59,640 --> 00:18:02,399 Speaker 11: Zoo we shared pictures of two giant pandas expected to 313 00:18:02,560 --> 00:18:07,840 Speaker 11: arrive this summer Yunchwan and sine Bao, a highly anticipated 314 00:18:07,880 --> 00:18:11,720 Speaker 11: import after three giant pandas departed from the Smithsonian Zoo 315 00:18:11,760 --> 00:18:13,040 Speaker 11: in DC last year. 316 00:18:13,280 --> 00:18:15,280 Speaker 1: I love that they're so cute. 317 00:18:15,040 --> 00:18:18,960 Speaker 11: Now that pandicized, we'd even felt across the world with 318 00:18:19,320 --> 00:18:22,119 Speaker 11: dogs being used as unlikely standings. 319 00:18:22,359 --> 00:18:23,439 Speaker 1: Zoos are there to educate. 320 00:18:23,560 --> 00:18:27,600 Speaker 12: Zoos are there to inspire zoos or to promote conservation. 321 00:18:28,560 --> 00:18:32,280 Speaker 12: They're not there to promote painting domestic animals with colors 322 00:18:32,320 --> 00:18:33,440 Speaker 12: to represent wild man. 323 00:18:34,160 --> 00:18:36,680 Speaker 6: Kamala Harris was just officially. 324 00:18:36,240 --> 00:18:40,080 Speaker 1: Endorsed by Irsa j who believe the Michael Berry Show. 325 00:18:40,359 --> 00:18:43,320 Speaker 1: I'd rather not have that endorsement. Spent so much in 326 00:18:43,400 --> 00:18:46,200 Speaker 1: the news lately that we haven't been able to get 327 00:18:46,200 --> 00:18:50,680 Speaker 1: to it all. Kamala Harris announced that she would end 328 00:18:50,840 --> 00:18:55,719 Speaker 1: the requirement that job applicants for federal jobs possess a 329 00:18:55,760 --> 00:19:03,520 Speaker 1: college degree. Hmm, that's all. She's going to end the 330 00:19:03,600 --> 00:19:08,320 Speaker 1: requirement that in order to have a federal job you 331 00:19:08,440 --> 00:19:12,240 Speaker 1: have to have a college degree. There's only one problem. 332 00:19:14,040 --> 00:19:18,119 Speaker 1: In June of twenty twenty, the president at the time, 333 00:19:18,640 --> 00:19:24,800 Speaker 1: Donald Trump, signed an executive order that shifted the focus 334 00:19:24,800 --> 00:19:29,440 Speaker 1: of federal hiring practices away from college degree requirements. He 335 00:19:29,520 --> 00:19:36,080 Speaker 1: already did what she's promising to do. The order emphasized 336 00:19:36,280 --> 00:19:42,640 Speaker 1: skills based hiring, broadening opportunities for individuals who have gained 337 00:19:42,720 --> 00:19:52,639 Speaker 1: knowledge and expertise through alternative education, work experience, or apprenticeships. Apprenticeships, 338 00:19:55,080 --> 00:19:55,720 Speaker 1: listen to this. 339 00:19:56,200 --> 00:19:58,879 Speaker 7: Today we're taking that next step, as you mentioned, and 340 00:19:58,920 --> 00:20:02,359 Speaker 7: signing an executive order that directs federal agencies to hire 341 00:20:02,400 --> 00:20:06,360 Speaker 7: based on skills and knowledge, not just outdated degree requirements. 342 00:20:06,720 --> 00:20:09,480 Speaker 7: This will allow us to better recognize the talents and 343 00:20:09,560 --> 00:20:13,560 Speaker 7: competencies of all Americans we hire. You built once the 344 00:20:13,600 --> 00:20:17,960 Speaker 7: most inclusive economy in this country's history, and you'll build 345 00:20:18,000 --> 00:20:20,560 Speaker 7: it again. And I'm really excited about your effort to 346 00:20:20,560 --> 00:20:23,959 Speaker 7: extend this working group and to reform our federal hiring 347 00:20:24,000 --> 00:20:28,639 Speaker 7: practices as we think about building that inclusive American economy 348 00:20:28,680 --> 00:20:31,679 Speaker 7: as we transition to greatness. So thank you for today, 349 00:20:31,800 --> 00:20:32,920 Speaker 7: and it's a pleasure to have you. 350 00:20:33,000 --> 00:20:34,040 Speaker 3: Jodan, Thank you very much. 351 00:20:34,040 --> 00:20:34,320 Speaker 1: Annie. 352 00:20:34,359 --> 00:20:36,080 Speaker 3: Great job really has been. 353 00:20:36,160 --> 00:20:40,480 Speaker 6: It's been a labor of love and Ivanka loves helping people. 354 00:20:40,960 --> 00:20:46,440 Speaker 1: Wonderful thing. If Trump's already removed the requirement, then why 355 00:20:46,520 --> 00:20:52,840 Speaker 1: is Kamala Harris running on it? Well, the executive order 356 00:20:52,880 --> 00:20:57,480 Speaker 1: Donald Trump put into effect, it's not an effect anymore 357 00:20:59,000 --> 00:21:04,840 Speaker 1: because Joe Biden revoked it shortly after taking office. In 358 00:21:04,920 --> 00:21:10,920 Speaker 1: January of twenty twenty one, Joe Biden issued Executive Order 359 00:21:11,000 --> 00:21:16,679 Speaker 1: thirteen nine ninety two, which reversed a number of Trump 360 00:21:16,840 --> 00:21:26,720 Speaker 1: era orders, including those related to federal hiring practices. How 361 00:21:26,720 --> 00:21:31,399 Speaker 1: many Americans you think know that? Why would they? The 362 00:21:31,520 --> 00:21:35,600 Speaker 1: media never told them. So You've got poor SAPs out 363 00:21:35,600 --> 00:21:39,120 Speaker 1: there that don't have a college degree, and they're being 364 00:21:39,119 --> 00:21:42,360 Speaker 1: told by the media. Trump doesn't like you, Trump lies, 365 00:21:43,600 --> 00:21:46,280 Speaker 1: the cat stories a lie, Trump's a liar, Trump's rich, 366 00:21:46,359 --> 00:21:51,840 Speaker 1: Trump's bad, Trump's a criminal, Trump's this, and Conalla Harris, 367 00:21:52,680 --> 00:21:56,720 Speaker 1: I'm middle class just like you. But what they really 368 00:21:56,760 --> 00:21:59,719 Speaker 1: did is hurt people without a college degree in their 369 00:21:59,800 --> 00:22:01,480 Speaker 1: chance is to work for the federal government, which is 370 00:22:01,480 --> 00:22:10,080 Speaker 1: a huge, huge employer. Why because the universities give the 371 00:22:10,160 --> 00:22:15,760 Speaker 1: money to the people who say nice things about the Democrats. 372 00:22:17,560 --> 00:22:22,480 Speaker 1: There is a circularity to the federal funding to the universities. 373 00:22:23,320 --> 00:22:26,440 Speaker 1: The universities and the reports they write, and the reports 374 00:22:26,440 --> 00:22:31,359 Speaker 1: they write backing up Earth's on fire, black people are dying, 375 00:22:32,119 --> 00:22:38,479 Speaker 1: cops are all bad, Democrats are good. There's really something 376 00:22:38,520 --> 00:22:44,520 Speaker 1: to this. There is really really something to this. If 377 00:22:44,600 --> 00:22:49,160 Speaker 1: Christmas were to come before the election. Jd Vance would 378 00:22:49,160 --> 00:22:52,560 Speaker 1: ask Santa Claus for one thing. He would ask for 379 00:22:52,600 --> 00:22:58,320 Speaker 1: an election win, but Santa doesn't rig elections. Ramon, Santa 380 00:22:59,040 --> 00:23:02,560 Speaker 1: is on the up and up, so jd Vance would 381 00:23:02,600 --> 00:23:04,280 Speaker 1: make another wish. 382 00:23:04,560 --> 00:23:06,359 Speaker 13: Part of the reason I want Kamala Harris to do 383 00:23:06,400 --> 00:23:09,280 Speaker 13: more interviews is because there's so much comic relief in it. 384 00:23:10,840 --> 00:23:13,920 Speaker 13: I really do believe that every time she answers the question, 385 00:23:14,000 --> 00:23:16,640 Speaker 13: we gave about one hundred thousand votes. So I do 386 00:23:16,680 --> 00:23:19,399 Speaker 13: selfishly wish that Kamala Harris would give more interviews to 387 00:23:19,440 --> 00:23:22,879 Speaker 13: the North Carolina media because then I think this state wouldn't. 388 00:23:22,480 --> 00:23:23,680 Speaker 1: Even be close come November. 389 00:23:24,160 --> 00:23:27,119 Speaker 13: And I don't know if you've seen my friends some 390 00:23:27,160 --> 00:23:30,600 Speaker 13: of these interviews that she gives, but they'll say, you know, well, Kamla, 391 00:23:30,680 --> 00:23:33,680 Speaker 13: give us your specific plan. What is your exact plan 392 00:23:33,800 --> 00:23:36,240 Speaker 13: for how you're going to lower the grocery, food, and 393 00:23:36,280 --> 00:23:41,480 Speaker 13: housing prices for American citizens? And she'll say, well, did 394 00:23:41,480 --> 00:23:43,119 Speaker 13: you know I grew up in a middle class family. 395 00:23:45,640 --> 00:23:49,639 Speaker 1: Jd Vance did another one of these conversations with Tucker 396 00:23:49,680 --> 00:23:52,600 Speaker 1: Carlson like Jesse Kelly did in Houston the other day, 397 00:23:53,640 --> 00:23:57,919 Speaker 1: and jd tells Carlson that Kamala Harris is not happy 398 00:23:57,960 --> 00:24:02,240 Speaker 1: with her internal polling numbers. And how would he know? 399 00:24:03,640 --> 00:24:08,280 Speaker 1: How would he know that Kamala Harris is not happy 400 00:24:08,359 --> 00:24:13,840 Speaker 1: with her internal polling numbers? Well, take a listen, you 401 00:24:13,920 --> 00:24:14,639 Speaker 1: know how this works. 402 00:24:14,680 --> 00:24:17,320 Speaker 13: But I'll sort of give some insight into your into 403 00:24:17,359 --> 00:24:19,560 Speaker 13: this for your your viewers and your listeners. Okay, So 404 00:24:20,680 --> 00:24:22,640 Speaker 13: I have said publicly, I've been attacked by this from 405 00:24:22,680 --> 00:24:26,000 Speaker 13: the left. I've said, look, Kamala's own internal polls are 406 00:24:26,000 --> 00:24:28,680 Speaker 13: not very good right now. And of course the lefties say, well, 407 00:24:28,760 --> 00:24:31,280 Speaker 13: Jadie Vance is the VP candidate for Republicans. 408 00:24:31,600 --> 00:24:34,080 Speaker 1: Nobody in Kamala Harris's campaign is talking to him. That's right. 409 00:24:34,119 --> 00:24:36,199 Speaker 13: By the way, Kamala Harris's campaign is not talking to me, 410 00:24:36,480 --> 00:24:39,280 Speaker 13: but they are talking to journalists. And then those journalists 411 00:24:39,440 --> 00:24:43,040 Speaker 13: want insights into what's going on with the Republican ticket. 412 00:24:43,280 --> 00:24:45,000 Speaker 1: They want to see our internal numbers. 413 00:24:45,320 --> 00:24:48,840 Speaker 13: And look, the journalists are telling me that Kamala Harris 414 00:24:48,840 --> 00:24:51,320 Speaker 13: doesn't like her numbers. The journalists are telling me our 415 00:24:51,400 --> 00:24:55,400 Speaker 13: campaign does like their numbers. There's a consistency of story here, joists. 416 00:24:55,520 --> 00:24:59,159 Speaker 13: It's like that it's an in for me. The intelligence operators. 417 00:24:58,840 --> 00:25:02,280 Speaker 1: Right like and some of them are working for intelligence. 418 00:25:03,600 --> 00:25:06,640 Speaker 13: Yeah, your journalists are electoral politics, what like the CIA 419 00:25:06,840 --> 00:25:08,680 Speaker 13: is the international relations. 420 00:25:08,200 --> 00:25:10,800 Speaker 1: People think, Just like in poling it palls are designed 421 00:25:10,840 --> 00:25:12,960 Speaker 1: to measure what people think. Journalists are designed to report 422 00:25:13,000 --> 00:25:16,160 Speaker 1: what happened. No, journalists are players in the political system. 423 00:25:16,320 --> 00:25:20,200 Speaker 9: Yes, and they do not disclose that to their readers, 424 00:25:20,400 --> 00:25:21,800 Speaker 9: and you see it up quote. 425 00:25:21,840 --> 00:25:23,439 Speaker 13: But it's interesting they play the role of kind of 426 00:25:23,440 --> 00:25:25,760 Speaker 13: like covert diplomats between the chance they do. 427 00:25:25,920 --> 00:25:26,679 Speaker 1: Yeah, and I'll tell you. 428 00:25:26,760 --> 00:25:29,600 Speaker 13: I mean, in twenty sixteen, what the journalists were telling 429 00:25:29,640 --> 00:25:32,760 Speaker 13: you was Hillary Clinton's campaign, it is confident. But then 430 00:25:32,840 --> 00:25:35,400 Speaker 13: some of them, like Bill Clinton, were very not confident. 431 00:25:35,680 --> 00:25:38,320 Speaker 13: And in twenty twenty they were saying nobody really knows 432 00:25:38,359 --> 00:25:41,280 Speaker 13: what's going on. And in twenty twenty four they're saying 433 00:25:41,440 --> 00:25:44,320 Speaker 13: Kamala Harris is feeling a little bit rough about her chances. 434 00:25:44,560 --> 00:25:47,760 Speaker 13: The Trump people are very are feeling good about their chances. Look, 435 00:25:47,960 --> 00:25:50,440 Speaker 13: I think we're in a good spot. But you can't 436 00:25:50,440 --> 00:25:51,359 Speaker 13: take this stuff for granted. 437 00:25:51,400 --> 00:25:52,000 Speaker 1: Right, And by the. 438 00:25:51,960 --> 00:25:54,800 Speaker 13: Way, I think it goes in both ways. Right, if 439 00:25:54,840 --> 00:25:57,480 Speaker 13: you take two rows, you have a picture. You can 440 00:25:57,520 --> 00:26:01,200 Speaker 13: get demotivated. If you take too pessimistic of a picture. 441 00:26:01,240 --> 00:26:04,040 Speaker 13: You can get demotivated. Excuse me. We still have to 442 00:26:04,040 --> 00:26:05,960 Speaker 13: do our job. We have to go out there, persuade voters, 443 00:26:06,040 --> 00:26:08,120 Speaker 13: right to go out there knock on doors. If you're 444 00:26:08,240 --> 00:26:10,280 Speaker 13: watching this and you want to get involved in the campaign, 445 00:26:10,680 --> 00:26:11,760 Speaker 13: like go and do it. 446 00:26:11,760 --> 00:26:12,320 Speaker 1: Go to Donald J. 447 00:26:12,359 --> 00:26:15,880 Speaker 13: Trump dot com volunteer become a door knocker because we 448 00:26:15,920 --> 00:26:18,400 Speaker 13: actually can win this race. I think we will win 449 00:26:18,440 --> 00:26:20,520 Speaker 13: this race, but not if we sit on our asses 450 00:26:20,600 --> 00:26:21,879 Speaker 13: and don't get out there anymore. 451 00:26:22,160 --> 00:26:25,280 Speaker 1: Camera of the famous Growing pains man. 452 00:26:25,480 --> 00:26:27,359 Speaker 13: If it works for growing pains, I wouldn't be. 453 00:26:27,359 --> 00:26:30,320 Speaker 1: On the Michael Berry Show. You have a row our. 454 00:27:00,600 --> 00:27:04,280 Speaker 1: Sometimes I feel like I don't have a. 455 00:27:06,720 --> 00:27:08,840 Speaker 5: Sometimes up fee like. 456 00:27:09,400 --> 00:27:14,119 Speaker 14: My defeat is the city. 457 00:27:14,920 --> 00:27:26,560 Speaker 1: The city vangel slowly as to kill the week I 458 00:27:26,640 --> 00:27:28,880 Speaker 1: refer to the nineties. Those of you who've been around 459 00:27:28,920 --> 00:27:31,240 Speaker 1: the show for a while know this trouble as my 460 00:27:31,320 --> 00:27:35,160 Speaker 1: lost decade. She's I graduated high school in eighty nine, 461 00:27:36,080 --> 00:27:42,639 Speaker 1: started college and I was student body president, kept at 462 00:27:42,720 --> 00:27:47,160 Speaker 1: least one up to three jobs going, and was preparing 463 00:27:47,640 --> 00:27:52,280 Speaker 1: to go to law school. So I didn't go to concerts, 464 00:27:52,280 --> 00:27:53,959 Speaker 1: I didn't go to parties, and I'm not. I'm not 465 00:27:54,000 --> 00:27:55,640 Speaker 1: trying to say I'm a saint or I'm just telling 466 00:27:55,640 --> 00:27:57,040 Speaker 1: me what was going on in my life. That's that's 467 00:27:57,080 --> 00:28:00,000 Speaker 1: why I have kind of like this this rip band 468 00:28:00,119 --> 00:28:05,959 Speaker 1: Winkle period that you know, there's a lost decade, and 469 00:28:06,040 --> 00:28:08,600 Speaker 1: really anything after eighty nine I'm not so good at. 470 00:28:08,600 --> 00:28:11,639 Speaker 1: But at least I started noticing things. So for that 471 00:28:11,800 --> 00:28:15,000 Speaker 1: ten years, I went four years of college, in three 472 00:28:15,080 --> 00:28:18,280 Speaker 1: years of law school, went to England, and then I 473 00:28:18,320 --> 00:28:20,600 Speaker 1: was a baby lawyer, and then I was starting my company. 474 00:28:20,680 --> 00:28:25,080 Speaker 1: So I didn't watch TV, I didn't listen to music. 475 00:28:25,480 --> 00:28:28,119 Speaker 1: I didn't know, you know, the zeitgeist. I didn't know 476 00:28:28,160 --> 00:28:30,840 Speaker 1: what was going on in pop culture. I have no idea, 477 00:28:32,000 --> 00:28:34,359 Speaker 1: and so I've had to kind of go back and 478 00:28:34,480 --> 00:28:36,520 Speaker 1: kind of study the nineties a little because some of 479 00:28:36,560 --> 00:28:39,360 Speaker 1: our younger listeners that's the music of your But I 480 00:28:39,360 --> 00:28:43,120 Speaker 1: got to tell you the Red Hat Chili Peppers somehow 481 00:28:43,160 --> 00:28:48,000 Speaker 1: that that cut through that Blood Sugar Sex Magic. I'm 482 00:28:48,000 --> 00:28:51,520 Speaker 1: not even an album guy, but that album I think 483 00:28:51,560 --> 00:28:53,520 Speaker 1: it was see I would know this if it was 484 00:28:53,560 --> 00:28:55,600 Speaker 1: a seventies I think it was ninety one. It had 485 00:28:55,680 --> 00:28:59,680 Speaker 1: give it Away, under the Bridge, breaking the Girl, Suck 486 00:28:59,760 --> 00:29:02,840 Speaker 1: My cay Is. I mean, that's an album right there. 487 00:29:03,360 --> 00:29:07,080 Speaker 1: My buddy Chance McLain of Heritage Films loves music from 488 00:29:07,080 --> 00:29:11,320 Speaker 1: the nineties, loves it, and I tell him, if you're 489 00:29:11,320 --> 00:29:13,520 Speaker 1: gonna do music from the nineties, at least pick the 490 00:29:13,520 --> 00:29:16,080 Speaker 1: big hits, because the rest of us that weren't really 491 00:29:16,120 --> 00:29:20,000 Speaker 1: hanging out in the nineties, we don't get into the nineties. 492 00:29:20,480 --> 00:29:23,240 Speaker 1: But he will sometimes go deep cut on the song 493 00:29:24,360 --> 00:29:28,560 Speaker 1: or an artist. So this is a parody, with all apologies, 494 00:29:28,640 --> 00:29:33,280 Speaker 1: this is a parody of a song called Longview of 495 00:29:33,520 --> 00:29:36,400 Speaker 1: the band Green Day. And yes, I hate their politics 496 00:29:36,400 --> 00:29:40,600 Speaker 1: and you hate their politics. But the point here is 497 00:29:40,640 --> 00:29:45,520 Speaker 1: a good point. And the point is the left hated 498 00:29:46,240 --> 00:29:51,000 Speaker 1: Dick Cheney, hated him, and now all of a sudden, 499 00:29:52,040 --> 00:29:58,800 Speaker 1: Dick Cheney is supporting Kamala Harris. And what's interesting about 500 00:29:58,840 --> 00:30:03,400 Speaker 1: this is it means that Dick Cheney was never really 501 00:30:03,440 --> 00:30:06,800 Speaker 1: the devil. Dick Cheney has more in common with Kamala 502 00:30:06,840 --> 00:30:10,360 Speaker 1: Harrison Donald Trump. And that thing they have in common 503 00:30:11,800 --> 00:30:15,160 Speaker 1: is they are the establishment. They're the inns. You're the outs. 504 00:30:16,240 --> 00:30:19,800 Speaker 1: They take us to war. You serve in them. So 505 00:30:20,640 --> 00:30:25,440 Speaker 1: with those apologies to my buddy Chance mcclaim, for over 506 00:30:25,520 --> 00:30:27,400 Speaker 1: explaining his parody here. 507 00:30:27,440 --> 00:30:30,240 Speaker 4: It is he doesn't want to pay sixty two percent 508 00:30:30,280 --> 00:30:31,920 Speaker 4: of taxes because he doesn't want to go from. 509 00:30:31,800 --> 00:30:34,000 Speaker 3: Being fifty cents to twenty cents. 510 00:30:34,440 --> 00:30:36,320 Speaker 4: And I had to remind him that he was a 511 00:30:36,360 --> 00:30:39,400 Speaker 4: black person, so he can't vote for Donald Trump. 512 00:30:39,440 --> 00:30:43,760 Speaker 1: A maid by name Bunking Rock, but no Mo. 513 00:30:46,240 --> 00:30:54,120 Speaker 15: And my true colors, they are obvious made a whole 514 00:30:54,200 --> 00:30:59,320 Speaker 15: album this see Bush now his fee beet Dixon Gush 515 00:31:00,080 --> 00:31:04,400 Speaker 15: don't know what to do, but still got a nose. 516 00:31:06,960 --> 00:31:12,400 Speaker 14: Cheneys on my side by her fathers live. 517 00:31:12,960 --> 00:31:15,800 Speaker 3: I wasn't charged with rod time. 518 00:31:16,400 --> 00:31:17,080 Speaker 10: How are you? 519 00:31:19,080 --> 00:31:21,120 Speaker 5: We all know that Trump is a liar and a thief. 520 00:31:21,480 --> 00:31:23,600 Speaker 5: We don't think that Biden is a liar and a thief, 521 00:31:23,640 --> 00:31:25,040 Speaker 5: so we give him the benefit of the doubt. 522 00:31:25,040 --> 00:31:26,160 Speaker 1: That's probably what's going on. 523 00:31:26,200 --> 00:31:31,760 Speaker 15: Prince around the sady arms with lips aboudy. 524 00:31:32,560 --> 00:31:35,600 Speaker 1: Ten thousand drones with the thing. 525 00:31:36,200 --> 00:31:44,600 Speaker 14: Dude, we are for just like Tick Cheney, Kamala Harris 526 00:31:44,920 --> 00:31:45,800 Speaker 14: is our queen. 527 00:31:46,320 --> 00:31:47,880 Speaker 3: We got the message. 528 00:31:48,080 --> 00:31:50,200 Speaker 1: We are loyal. 529 00:31:50,440 --> 00:31:59,719 Speaker 14: L Chni is on my side by her barbas lives 530 00:32:00,200 --> 00:32:14,680 Speaker 14: chardment God no foundation lost his founded Todd Poor Foundation. 531 00:32:17,520 --> 00:32:25,840 Speaker 12: Today and we've now learned from these these hearings that. 532 00:32:25,880 --> 00:32:28,920 Speaker 9: Donald Trump intended to go there and march down to 533 00:32:28,960 --> 00:32:30,120 Speaker 9: the well of the. 534 00:32:30,080 --> 00:32:33,520 Speaker 10: House of Representatives and essentially be crowned as a king. 535 00:32:33,800 --> 00:32:39,080 Speaker 8: It's as sociopathic, psychopathic, malignant, narcissist. 536 00:32:39,360 --> 00:32:42,360 Speaker 5: A vote for Donald Trump may mean the last election 537 00:32:42,440 --> 00:32:43,840 Speaker 5: that you ever get to vote in. 538 00:32:44,000 --> 00:32:47,560 Speaker 3: A person died today, and so he didn't. 539 00:32:47,240 --> 00:32:51,520 Speaker 13: Shoot him, but you could consider him an accessory in 540 00:32:51,600 --> 00:32:54,920 Speaker 13: a sense, because he's been stoking that stuff for years. 541 00:32:55,360 --> 00:32:57,600 Speaker 1: A couple of things we love on The Michael Barry Show, 542 00:32:58,480 --> 00:33:06,040 Speaker 1: Old TV programs Andy Griffith, Beverly Hillbillies, duke'sa Hazard. We 543 00:33:06,160 --> 00:33:11,320 Speaker 1: also love parody songs. Not everybody loves parody songs. A 544 00:33:11,360 --> 00:33:14,440 Speaker 1: parody song is a lower standard. It doesn't have to be, 545 00:33:15,240 --> 00:33:18,440 Speaker 1: you know, the greatest song of all time. It's meant 546 00:33:18,480 --> 00:33:21,560 Speaker 1: to be fun and convey a message to blow off 547 00:33:21,600 --> 00:33:25,760 Speaker 1: some steam. So we'll play parody songs that may not 548 00:33:25,880 --> 00:33:27,920 Speaker 1: be in a plus and they don't need to be 549 00:33:28,880 --> 00:33:31,840 Speaker 1: Just relax and enjoy it. If you don't like it, 550 00:33:31,840 --> 00:33:35,320 Speaker 1: it'll be over soon enough. Well, when we find something 551 00:33:36,400 --> 00:33:40,080 Speaker 1: that is kind of fun and funny, we're gonna share 552 00:33:40,120 --> 00:33:43,520 Speaker 1: it with you. That's what we do. This is a 553 00:33:43,560 --> 00:33:45,640 Speaker 1: parody song from a group called the Dilly d I 554 00:33:45,920 --> 00:33:48,240 Speaker 1: l E Y Meme Team. You can find them online. 555 00:33:48,280 --> 00:33:54,080 Speaker 1: They make great, great content. It's a Gilligan's Island spoof 556 00:33:54,720 --> 00:33:59,720 Speaker 1: called Gigling's Island because of course, Kamala Harris giggles all time. 557 00:34:01,680 --> 00:34:03,920 Speaker 1: Just right back is a deems implode. 558 00:34:04,040 --> 00:34:07,760 Speaker 16: The swing state's Trump will flip now Kallala the open 559 00:34:07,840 --> 00:34:09,799 Speaker 16: court Joe by some ship. 560 00:34:10,440 --> 00:34:13,800 Speaker 3: We all know that Big Mike's a man, and Obama. 561 00:34:13,480 --> 00:34:15,480 Speaker 1: We endure demented. 562 00:34:15,640 --> 00:34:20,799 Speaker 16: Joe was forced awake one too many slurs. Not Democracy secure. 563 00:34:23,600 --> 00:34:27,719 Speaker 16: Primary started getting to fake accent. She with down now 564 00:34:27,960 --> 00:34:30,839 Speaker 16: you know she like when she starts to left, Democracy 565 00:34:30,920 --> 00:34:31,840 Speaker 16: would be lost. 566 00:34:32,320 --> 00:34:34,000 Speaker 1: We must win out our cups. 567 00:34:34,480 --> 00:34:38,600 Speaker 16: The Democrats not confident, hoping you're v for insane for 568 00:34:38,840 --> 00:34:46,080 Speaker 16: you giggling the socialist to Issu Indian black O wise, 569 00:34:47,239 --> 00:34:51,919 Speaker 16: she's the door side Obama and Michelle the man. 570 00:34:52,520 --> 00:34:54,920 Speaker 1: Here I get els. 571 00:35:00,040 --> 00:35:02,839 Speaker 7: Ample consted in them. 572 00:35:03,160 --> 00:35:07,320 Speaker 3: A comp a manicamily from a a problem