1 00:00:00,480 --> 00:00:08,280 Speaker 1: It's that time, time, time, time, walking load. The Michael 2 00:00:08,480 --> 00:00:10,320 Speaker 1: Verie Show is on the air. 3 00:00:10,520 --> 00:00:11,959 Speaker 2: Will you tell somebody something? 4 00:00:12,280 --> 00:00:14,200 Speaker 3: It depends on what part of the United States you're 5 00:00:14,200 --> 00:00:15,960 Speaker 3: standing the ass of just how dum you are. 6 00:00:16,000 --> 00:00:26,880 Speaker 4: There's a accent. Where come from? 7 00:00:27,080 --> 00:00:28,360 Speaker 5: Being somebody in this. 8 00:00:28,400 --> 00:00:31,760 Speaker 1: Society starts with education. 9 00:00:33,280 --> 00:00:35,040 Speaker 2: Well, first of all, thank you for the question. 10 00:00:35,159 --> 00:00:38,000 Speaker 6: I hope your family is okay and your home is okay, 11 00:00:39,080 --> 00:00:39,559 Speaker 6: and you. 12 00:00:39,640 --> 00:00:42,320 Speaker 5: All help us win in twenty twenty and we don't 13 00:00:42,360 --> 00:00:43,080 Speaker 5: do it again. 14 00:00:42,880 --> 00:00:43,960 Speaker 7: In twenty twenty four. 15 00:00:45,760 --> 00:00:48,159 Speaker 5: You better thank a union member for sickly. 16 00:00:48,520 --> 00:00:50,480 Speaker 7: You better thank a union member. 17 00:00:50,200 --> 00:00:51,239 Speaker 5: For paid lee. 18 00:00:51,479 --> 00:00:54,360 Speaker 6: You better thank a union member for vacation time. 19 00:00:54,800 --> 00:00:59,040 Speaker 4: It is accent. 20 00:01:01,320 --> 00:01:07,560 Speaker 8: We're I'm proud to be a bartender. 21 00:01:08,880 --> 00:01:10,120 Speaker 9: Ain't nothing wrong with that. 22 00:01:11,600 --> 00:01:15,039 Speaker 5: There's nothing wrong with working retail, folding clothes for. 23 00:01:15,080 --> 00:01:16,040 Speaker 10: Other people to buy. 24 00:01:17,280 --> 00:01:21,240 Speaker 5: There is nothing wrong with preparing the food that your. 25 00:01:21,160 --> 00:01:22,119 Speaker 2: Neighbors will eat. 26 00:01:23,440 --> 00:01:26,160 Speaker 8: There is nothing wrong with driving the buses that. 27 00:01:26,280 --> 00:01:27,679 Speaker 2: Take your family to work. 28 00:01:28,560 --> 00:01:31,360 Speaker 5: There is nothing wrong with being a working person in 29 00:01:31,400 --> 00:01:35,880 Speaker 5: the United States of America, and there is everything dignified 30 00:01:36,080 --> 00:01:36,680 Speaker 5: about it. 31 00:01:36,880 --> 00:01:38,960 Speaker 11: I don't feel no ways tired. 32 00:01:40,040 --> 00:01:44,679 Speaker 1: I count you bar This is sweet, sweet justice my friends, 33 00:01:44,760 --> 00:01:49,120 Speaker 1: sweet sweet justice from the New York Post. New York 34 00:01:49,160 --> 00:01:52,560 Speaker 1: Attorney General Letitia James. Boy do I dislike this woman 35 00:01:54,160 --> 00:01:58,280 Speaker 1: who infamously declared that no one is above the law 36 00:01:58,440 --> 00:02:01,720 Speaker 1: when she was targeting and persecuting Donald Trump. 37 00:02:02,600 --> 00:02:08,000 Speaker 7: That's simple but fundamental pillar of our democracy, that the 38 00:02:08,080 --> 00:02:12,880 Speaker 7: rule of law applies to all of us equally, fairly 39 00:02:13,840 --> 00:02:14,440 Speaker 7: and justly. 40 00:02:15,080 --> 00:02:19,960 Speaker 1: Oh is she righteous? She claimed that the properties that 41 00:02:20,000 --> 00:02:22,320 Speaker 1: were put up in order to get loans for buildings 42 00:02:22,360 --> 00:02:26,359 Speaker 1: were not worth the value at which they were appraised. 43 00:02:27,200 --> 00:02:29,760 Speaker 1: Turns out they were, but she ran him through the 44 00:02:29,840 --> 00:02:32,119 Speaker 1: ringer and caused him a lot of hassle in the meantime. 45 00:02:32,760 --> 00:02:36,440 Speaker 1: That would be mortgage fraud if it had happened, but 46 00:02:36,560 --> 00:02:40,120 Speaker 1: it didn't. So now Letitia James was hit with a 47 00:02:40,120 --> 00:02:48,640 Speaker 1: federal criminal referral for instances alleged mortgage fraud. Yes, according 48 00:02:48,680 --> 00:02:51,680 Speaker 1: to a letter obtained by the Post, Federal Housing Finance 49 00:02:51,720 --> 00:02:55,960 Speaker 1: Agency Director William Poulti sent the missive to Attorney General 50 00:02:56,000 --> 00:03:01,840 Speaker 1: Pam Bondi and Deputy ag Ton Todd Blanche, alleging that 51 00:03:02,000 --> 00:03:04,959 Speaker 1: James had falsified records to get home loans for a 52 00:03:05,000 --> 00:03:08,239 Speaker 1: property in Virginia that she claimed was her principal residence 53 00:03:08,680 --> 00:03:13,160 Speaker 1: in twenty twenty three while still serving as a New 54 00:03:13,240 --> 00:03:17,800 Speaker 1: York State prosecutor. That occurred in late August of twenty 55 00:03:17,840 --> 00:03:21,720 Speaker 1: twenty three, weeks before she began her civil fraud trial 56 00:03:21,800 --> 00:03:26,080 Speaker 1: against the Trump Organization for inflating the values of many 57 00:03:26,120 --> 00:03:28,919 Speaker 1: of his properties, which ended in a four hundred and 58 00:03:28,919 --> 00:03:33,320 Speaker 1: fifty four million dollar judgment. Well. The letter stated quote 59 00:03:33,360 --> 00:03:35,560 Speaker 1: Miss James was the sitting Attorney General of New York 60 00:03:35,600 --> 00:03:37,920 Speaker 1: and is required by law to have her primary residence 61 00:03:37,960 --> 00:03:40,320 Speaker 1: in the state of New York, even though her mortgage 62 00:03:40,320 --> 00:03:43,840 Speaker 1: applications list her intent to have the Norfolk, Virginia property 63 00:03:44,480 --> 00:03:48,120 Speaker 1: as her primary home. It appears Miss James's property and 64 00:03:48,160 --> 00:03:52,480 Speaker 1: mortgage related misrepresentations may have continued to her recent twenty 65 00:03:52,520 --> 00:03:55,880 Speaker 1: twenty three Norfolk, Virginia property purchase in order to secure 66 00:03:56,280 --> 00:04:01,440 Speaker 1: a lower interest rate and more favorable loan terms. In 67 00:04:01,480 --> 00:04:04,480 Speaker 1: February two thousand and one, James also purchased a five 68 00:04:04,720 --> 00:04:09,840 Speaker 1: family dwelling in Brooklyn, but has quote consistently misrepresented the 69 00:04:09,920 --> 00:04:14,120 Speaker 1: same property as only having four units in both building 70 00:04:14,160 --> 00:04:19,000 Speaker 1: permit applications and numerous mortgage documents and applications. Polti attached 71 00:04:19,160 --> 00:04:22,719 Speaker 1: several documents, also showing that James purchased another property with 72 00:04:22,800 --> 00:04:26,359 Speaker 1: her father as a co signer, but falsely listed the 73 00:04:26,440 --> 00:04:30,880 Speaker 1: pair as husband and wife in nineteen eighty three and 74 00:04:30,960 --> 00:04:35,800 Speaker 1: two thousand. Who do you think you are, Lady ilhan Omar? Meanwhile, 75 00:04:36,400 --> 00:04:39,600 Speaker 1: if Letitia James wasn't the face of the party, Joe 76 00:04:39,640 --> 00:04:42,080 Speaker 1: Biden certainly is. They woke him up to give a 77 00:04:42,120 --> 00:04:46,000 Speaker 1: speech about social Security, and he talked about the first 78 00:04:46,080 --> 00:04:50,360 Speaker 1: time he remembered seeing quote, colored kids can't make this up. 79 00:04:51,040 --> 00:04:54,960 Speaker 12: And I had never seen I'd never seen hardly any 80 00:04:55,040 --> 00:04:57,680 Speaker 12: black people scrattin. It's the time when and I was 81 00:04:57,720 --> 00:05:00,960 Speaker 12: only going on fourth grade, and I remember seeing the 82 00:05:01,040 --> 00:05:03,479 Speaker 12: kids going by at a time called cord kids on 83 00:05:03,560 --> 00:05:04,400 Speaker 12: a bus going by. 84 00:05:05,040 --> 00:05:08,440 Speaker 1: Okay, all right, that must have made quite the impression, 85 00:05:08,480 --> 00:05:11,320 Speaker 1: you know, the colored kids, as he said, who touched 86 00:05:11,320 --> 00:05:14,160 Speaker 1: the hair on his legs in the pool. And then 87 00:05:14,200 --> 00:05:16,280 Speaker 1: he got out and he's like you know legend of 88 00:05:16,320 --> 00:05:19,119 Speaker 1: Billy Joe. He gets out and he has to go, Remember, 89 00:05:19,120 --> 00:05:20,520 Speaker 1: he has to go pick up a pipe or a 90 00:05:20,640 --> 00:05:24,360 Speaker 1: chain because who was a corn corn pop was coming 91 00:05:24,400 --> 00:05:26,000 Speaker 1: after him, and he had to show those blacks. He 92 00:05:26,040 --> 00:05:28,839 Speaker 1: meant business. Remember when he told Howard Stern that he 93 00:05:28,880 --> 00:05:30,800 Speaker 1: was arrested as a kid for standing on the porch 94 00:05:30,839 --> 00:05:32,120 Speaker 1: at the home of a black family. 95 00:05:33,320 --> 00:05:34,960 Speaker 13: And I looked at my mom. I said, honey, you 96 00:05:34,960 --> 00:05:38,360 Speaker 13: haven't said anything. She said, Joey, let me remember true story. 97 00:05:38,640 --> 00:05:41,119 Speaker 13: Remember true storygregate. 98 00:05:40,279 --> 00:05:42,719 Speaker 1: Anybody, hold on anybody who has to say in the middle, 99 00:05:42,760 --> 00:05:46,000 Speaker 1: true story. Why wouldn't we assume your story is true? 100 00:05:46,440 --> 00:05:49,560 Speaker 1: Why are you trying to embellrash your story with true story? 101 00:05:50,080 --> 00:05:51,440 Speaker 1: Are your other stories not true? 102 00:05:52,240 --> 00:05:52,799 Speaker 5: True story? 103 00:05:52,839 --> 00:05:56,680 Speaker 13: So remember when they were desegregating Lynnfield, a neighborhood into us, 104 00:05:57,720 --> 00:06:01,800 Speaker 13: you know, seventy homes bill of one suburbia. And I 105 00:06:01,880 --> 00:06:04,000 Speaker 13: told you, and there was a black family moving in 106 00:06:04,040 --> 00:06:06,760 Speaker 13: and there was people who are down there protesting. I 107 00:06:06,839 --> 00:06:08,360 Speaker 13: told you not to go down there. And you went 108 00:06:08,440 --> 00:06:11,480 Speaker 13: down remember that, and you came you got to rest up. 109 00:06:11,480 --> 00:06:14,440 Speaker 13: He standing on the porch of the black family, right, 110 00:06:14,520 --> 00:06:16,560 Speaker 13: And they brought you back, the police, And I said, yeah, 111 00:06:16,600 --> 00:06:18,640 Speaker 13: well I remember that. 112 00:06:18,760 --> 00:06:19,360 Speaker 4: True story. 113 00:06:20,200 --> 00:06:22,760 Speaker 1: He has even claimed that he would attend black church 114 00:06:22,839 --> 00:06:27,120 Speaker 1: services after going to seven thirty Mass. Well, he was, well, 115 00:06:27,200 --> 00:06:28,720 Speaker 1: what a great kid. He would just want to see 116 00:06:28,720 --> 00:06:29,800 Speaker 1: how those blacks worshiped. 117 00:06:31,360 --> 00:06:33,400 Speaker 13: Unless say one thing to rest, I may be a 118 00:06:33,440 --> 00:06:34,240 Speaker 13: practicing Catholic. 119 00:06:34,279 --> 00:06:37,240 Speaker 12: I used to go to seven thirty Mass every morning 120 00:06:37,279 --> 00:06:40,240 Speaker 12: in high school and been on college before I went 121 00:06:40,279 --> 00:06:41,239 Speaker 12: to the Black church. 122 00:06:42,560 --> 00:06:43,160 Speaker 13: Not a joke. 123 00:06:43,240 --> 00:06:44,000 Speaker 12: And you know this. 124 00:06:45,600 --> 00:06:48,800 Speaker 1: Not a joke. Remember it's not a joke. Telling the truth, 125 00:06:49,080 --> 00:06:51,919 Speaker 1: true story, not a joke. Why would we think it 126 00:06:51,960 --> 00:06:55,360 Speaker 1: was a joke. Joe, of course, after seeing those colored kids, 127 00:06:55,360 --> 00:06:57,680 Speaker 1: as he said all those years ago, he knows what 128 00:06:57,720 --> 00:06:58,719 Speaker 1: it means to be black. 129 00:07:01,480 --> 00:07:04,680 Speaker 12: You have a problem figuring out whether you're Premi or Trump. 130 00:07:04,440 --> 00:07:05,320 Speaker 2: And you ain't black. 131 00:07:05,920 --> 00:07:09,000 Speaker 1: Okay, So let's see who we've got as Democrats. We've 132 00:07:09,000 --> 00:07:12,600 Speaker 1: got Letitia James, We've got Kamala Harris, Joe Biden, and 133 00:07:12,640 --> 00:07:16,160 Speaker 1: now we have their nominee. In twenty twenty eight, Alexandria 134 00:07:16,240 --> 00:07:20,400 Speaker 1: Ocassio Cortez. She was hired off the casting couch as 135 00:07:20,440 --> 00:07:24,360 Speaker 1: the social justice Soros candidate, and she's been running around 136 00:07:24,400 --> 00:07:28,480 Speaker 1: the country screaming about billionaires. She does not like the billionaires. 137 00:07:28,480 --> 00:07:31,680 Speaker 1: She's against the billionaires. There's an oligarchy. Well in the 138 00:07:31,800 --> 00:07:35,520 Speaker 1: great Democrat tradition. She tried out a new accent. 139 00:07:35,800 --> 00:07:40,720 Speaker 5: Here we go, Donald Trump is a criminal who was 140 00:07:40,880 --> 00:07:44,080 Speaker 5: found guilty of thirty. 141 00:07:43,520 --> 00:07:50,960 Speaker 4: Four flity counts, a fraud liable for sexual abuse. 142 00:07:52,560 --> 00:07:56,760 Speaker 5: Of course he's lying, I'm abusing. I'm manipulating the stock 143 00:07:56,880 --> 00:07:57,560 Speaker 5: market too. 144 00:08:02,800 --> 00:08:05,920 Speaker 11: When he talks about rapists and criminals, he should look. 145 00:08:05,760 --> 00:08:06,480 Speaker 2: In the mirror. 146 00:08:09,400 --> 00:08:11,960 Speaker 1: Did you hear how she said the word too as 147 00:08:12,000 --> 00:08:13,280 Speaker 1: in meaning also. 148 00:08:13,480 --> 00:08:16,960 Speaker 3: Too two two. 149 00:08:20,920 --> 00:08:23,360 Speaker 2: The Michael Barry Show, Michael Barry Show. 150 00:08:25,720 --> 00:08:29,400 Speaker 1: I've said several times that Carolyn Levitt part of her 151 00:08:29,560 --> 00:08:34,040 Speaker 1: job is debunking the lies that the left is telling. 152 00:08:34,360 --> 00:08:37,840 Speaker 1: Remember when President Trump recently was giving his Joint Session 153 00:08:37,880 --> 00:08:40,160 Speaker 1: speech and he said, no matter what I say, they 154 00:08:40,160 --> 00:08:42,760 Speaker 1: won't stand up and cheer. Ever, they won't ever applaud 155 00:08:43,600 --> 00:08:48,400 Speaker 1: And you remember when DJ was named an honorary Secret 156 00:08:48,400 --> 00:08:51,760 Speaker 1: Service agent and they wouldn't stand up for that. I mean, 157 00:08:51,800 --> 00:08:57,520 Speaker 1: it's just evil, It's sure evil. Well that's what we're 158 00:08:57,840 --> 00:09:01,079 Speaker 1: They're going to tell lies no matter what he does. 159 00:09:01,679 --> 00:09:04,160 Speaker 1: So here's kind of some of the stuff that she's 160 00:09:04,200 --> 00:09:07,720 Speaker 1: had to debunk in the last week and a half. 161 00:09:08,640 --> 00:09:10,120 Speaker 1: This is ramon. This is going to be five h 162 00:09:10,280 --> 00:09:13,559 Speaker 1: six Carolyn Levitt, White House Press Secretary. They were asking 163 00:09:13,600 --> 00:09:19,680 Speaker 1: about the contrast in transparency between this administration and Joe Biden's. 164 00:09:19,679 --> 00:09:21,040 Speaker 1: I mean, what kind of question. 165 00:09:20,840 --> 00:09:23,920 Speaker 10: Is at Everybody in this room has access to the 166 00:09:23,960 --> 00:09:28,439 Speaker 10: most transparent and accessible president in American history. The cabinet 167 00:09:28,440 --> 00:09:32,800 Speaker 10: meeting yesterday was further proof. President Trump asked each secretary 168 00:09:32,880 --> 00:09:34,720 Speaker 10: to provide an update to all of you and the 169 00:09:34,760 --> 00:09:36,920 Speaker 10: media on the critical work they are doing at their 170 00:09:36,960 --> 00:09:40,920 Speaker 10: respected agencies to deliver on his agenda. And according to 171 00:09:40,960 --> 00:09:43,319 Speaker 10: new reporting from The Washington Times, who I believe is 172 00:09:43,360 --> 00:09:46,560 Speaker 10: in this room today. President Trump answered nearly one hundred 173 00:09:46,640 --> 00:09:49,320 Speaker 10: questions from the press all of you during his first 174 00:09:49,440 --> 00:09:53,200 Speaker 10: three open press cabinet meetings this year. That's nearly twenty 175 00:09:53,280 --> 00:09:56,360 Speaker 10: times the number answered by Joe Biden in cabinet meetings 176 00:09:56,440 --> 00:09:58,600 Speaker 10: during his entire four years in office. 177 00:09:58,800 --> 00:10:04,200 Speaker 1: FA Then you have the conce arguing that the tariffs 178 00:10:04,240 --> 00:10:10,120 Speaker 1: are some sort of a crisis for the country. I 179 00:10:10,120 --> 00:10:12,000 Speaker 1: would argue so far, they've been a success. 180 00:10:12,200 --> 00:10:15,000 Speaker 10: More than seventy five countries have now reached out to 181 00:10:15,000 --> 00:10:18,400 Speaker 10: the Trump administration, eager to address the trade issues that 182 00:10:18,480 --> 00:10:22,240 Speaker 10: have exploited America and hurt our workers in the process. 183 00:10:22,800 --> 00:10:25,400 Speaker 10: The phones have been ringing off the hook to make deals, 184 00:10:25,720 --> 00:10:29,559 Speaker 10: and these countries wisely heated President Trump's warning not to retaliate, 185 00:10:29,600 --> 00:10:31,800 Speaker 10: and as a result, they were rewarded with a ninety 186 00:10:31,880 --> 00:10:35,840 Speaker 10: day pause in substantially lower reciprocal tariff rates during this period, 187 00:10:35,920 --> 00:10:40,240 Speaker 10: so potential solutions can be achieved. Past presidents just willingly 188 00:10:40,280 --> 00:10:42,920 Speaker 10: accepted the failed status quo on trade that ripped off 189 00:10:42,960 --> 00:10:45,800 Speaker 10: our workers and our companies. But that's not who this 190 00:10:45,920 --> 00:10:49,360 Speaker 10: president is. He creates his own leverage and negotiates deals 191 00:10:49,360 --> 00:10:51,320 Speaker 10: better than anyone else who has sat in the Oval 192 00:10:51,320 --> 00:10:54,640 Speaker 10: Office before him. And that process is currently underway. 193 00:10:55,840 --> 00:10:59,000 Speaker 1: And that's true. Why would Joe Biden know how to negotiate, 194 00:10:59,040 --> 00:11:02,760 Speaker 1: He's never negotiated in his life. Why would George W. 195 00:11:02,840 --> 00:11:05,640 Speaker 1: Bush think you think he was a great negotiator? He 196 00:11:05,679 --> 00:11:08,840 Speaker 1: was born a Bush. Why would Barack Obama? But what 197 00:11:08,920 --> 00:11:12,800 Speaker 1: had he done? He was a community agitator. Until you've 198 00:11:12,840 --> 00:11:15,640 Speaker 1: had to do deals, until you've had to walk a 199 00:11:15,679 --> 00:11:18,840 Speaker 1: deal to get a better term, until you've had someone 200 00:11:18,920 --> 00:11:20,719 Speaker 1: try to renegotiate a deal because they were in a 201 00:11:20,760 --> 00:11:22,920 Speaker 1: stronger position, you don't know how to put yourself in 202 00:11:22,920 --> 00:11:26,600 Speaker 1: a stronger position. So Carolyn Levitt was asked why any 203 00:11:26,640 --> 00:11:28,920 Speaker 1: of our allies would work with us to isolate China 204 00:11:28,960 --> 00:11:31,960 Speaker 1: in a trade war if we're imposing tariffs on them 205 00:11:32,000 --> 00:11:37,320 Speaker 1: as well. These people don't understand we're in the catbird seat. 206 00:11:37,360 --> 00:11:42,120 Speaker 1: We shouldn't be getting shafted. We should be demanding and 207 00:11:42,360 --> 00:11:48,760 Speaker 1: ensuring the best deals because we have the greatest marketplace 208 00:11:49,360 --> 00:11:51,920 Speaker 1: that we can withhold. If you don't do what we want, 209 00:11:52,320 --> 00:11:55,440 Speaker 1: we take away the American consumer from you. Why would 210 00:11:55,480 --> 00:11:55,839 Speaker 1: any of. 211 00:11:55,760 --> 00:11:58,120 Speaker 2: Our allies work with us to isolate China in a 212 00:11:58,160 --> 00:11:58,640 Speaker 2: trade war? 213 00:11:58,760 --> 00:11:59,559 Speaker 5: If we're treating a. 214 00:11:59,480 --> 00:12:00,000 Speaker 4: Friend and friend. 215 00:12:01,360 --> 00:12:03,360 Speaker 10: You'll have to talk to our allies who are reaching 216 00:12:03,360 --> 00:12:05,320 Speaker 10: out to us. The phones are ringing off of the hooks. 217 00:12:05,320 --> 00:12:07,720 Speaker 10: They've made it very clear they need the United States 218 00:12:07,760 --> 00:12:10,240 Speaker 10: of America. They need our markets, they need our consumer base. 219 00:12:10,640 --> 00:12:13,400 Speaker 10: You saw Prime Minister Benjamin and Yahoo in the Oval 220 00:12:13,440 --> 00:12:15,959 Speaker 10: Office with the President saying that he was going to 221 00:12:15,960 --> 00:12:18,360 Speaker 10: bring down all of their monetary tariffs and their non 222 00:12:18,400 --> 00:12:22,880 Speaker 10: monetary tariff trade barriers as well. We've heard from South Korea, 223 00:12:22,920 --> 00:12:25,520 Speaker 10: We've heard from Japan, the President has spoken to Vietnam. 224 00:12:25,600 --> 00:12:27,600 Speaker 10: We have Italy coming too the White House next week. 225 00:12:27,760 --> 00:12:29,679 Speaker 10: There's a reason for that, Sean, and it's because they 226 00:12:29,679 --> 00:12:32,960 Speaker 10: need the United States of America and our business model 227 00:12:32,960 --> 00:12:35,240 Speaker 10: and our markets to survive, and the President is using 228 00:12:35,280 --> 00:12:36,520 Speaker 10: that leverage to our advantage. 229 00:12:36,559 --> 00:12:40,240 Speaker 1: But here's the part that really gets me. Carolyn Levitt 230 00:12:40,240 --> 00:12:43,760 Speaker 1: points out what we all know to be true. For decades, 231 00:12:44,920 --> 00:12:50,319 Speaker 1: Republicans and Democrats have talked about taking on China. We're 232 00:12:50,360 --> 00:12:53,720 Speaker 1: getting a bad deal from China. We've got to fight back, 233 00:12:53,880 --> 00:12:56,880 Speaker 1: We've got to stand up for our country. And they 234 00:12:56,960 --> 00:12:59,959 Speaker 1: talked about it, and they never did anything about it. 235 00:13:01,600 --> 00:13:05,240 Speaker 1: And she's pointing out Trump's finally doing what everybody was 236 00:13:05,240 --> 00:13:06,800 Speaker 1: promising to do, but nobody ever did. 237 00:13:07,679 --> 00:13:10,960 Speaker 10: The tariff rate on China remains where it was yesterday, 238 00:13:11,200 --> 00:13:13,200 Speaker 10: at the one hundred and forty five percent level. The 239 00:13:13,240 --> 00:13:15,680 Speaker 10: President made it very clear when the United States is punched, 240 00:13:15,679 --> 00:13:18,199 Speaker 10: he will punch back harder, and he hopes to make 241 00:13:18,240 --> 00:13:21,600 Speaker 10: a deal that benefits the American worker and our companies 242 00:13:21,600 --> 00:13:23,240 Speaker 10: that have been ripped off for far too long. And 243 00:13:23,280 --> 00:13:26,160 Speaker 10: he's finally taking bold and courageous action to do that. 244 00:13:26,280 --> 00:13:28,960 Speaker 10: You take it on China is in the terms of 245 00:13:29,040 --> 00:13:32,600 Speaker 10: trade and tariffs, is something that both Democrats and Republicans 246 00:13:32,640 --> 00:13:35,200 Speaker 10: alike have spoken about for decades. President Trump is finally 247 00:13:35,240 --> 00:13:35,640 Speaker 10: doing it. 248 00:13:35,720 --> 00:13:39,200 Speaker 1: And here's the proof in the pudding. In twenty fifteen, 249 00:13:39,360 --> 00:13:42,440 Speaker 1: Obama said, if we don't write the rules, China will 250 00:13:42,640 --> 00:13:46,000 Speaker 1: and will lose jobs. So why was he saying that 251 00:13:46,040 --> 00:13:50,640 Speaker 1: in twenty fifteen and Trump and to applause from the media, 252 00:13:50,679 --> 00:13:52,959 Speaker 1: and Trump's saying it today, and they're acting like he's 253 00:13:53,000 --> 00:13:53,920 Speaker 1: going to end the world. 254 00:13:54,040 --> 00:13:56,640 Speaker 14: The argument is, Number one, that's the biggest market in 255 00:13:56,679 --> 00:13:59,760 Speaker 14: the world. Number two is those countries are already selling 256 00:13:59,800 --> 00:14:01,880 Speaker 14: to US. I keep on pointing out there are a 257 00:14:01,880 --> 00:14:04,240 Speaker 14: lot of Japanese cars here in the United States, almost 258 00:14:04,320 --> 00:14:08,520 Speaker 14: no US cars in Tokyo. Number three is that if 259 00:14:08,520 --> 00:14:11,240 Speaker 14: we don't write the rules, China will write the rules 260 00:14:11,280 --> 00:14:14,080 Speaker 14: out in that region. We will be shut out American businesses, 261 00:14:14,080 --> 00:14:17,320 Speaker 14: American agriculture. That will mean a loss of US jobs. 262 00:14:18,600 --> 00:14:21,920 Speaker 1: Oh you don't say, how about Hillary in twenty sixteen 263 00:14:22,000 --> 00:14:25,360 Speaker 1: running for president against Trump the first time talking about listen, 264 00:14:25,400 --> 00:14:31,520 Speaker 1: carefully targeted tariffs against anyone who takes advantage of American workers. 265 00:14:33,520 --> 00:14:35,640 Speaker 2: What about trade? 266 00:14:36,000 --> 00:14:39,880 Speaker 11: After all Trump talks about it all the time. Well, 267 00:14:39,920 --> 00:14:43,160 Speaker 11: let's start with this. It is true that too often 268 00:14:43,360 --> 00:14:46,240 Speaker 11: past trade deals have been sold to the American people 269 00:14:46,640 --> 00:14:51,960 Speaker 11: with rosy scenarios that did not pan out. Those promises 270 00:14:52,520 --> 00:14:56,120 Speaker 11: now ring hollow in many communities across Michigan and our 271 00:14:56,160 --> 00:15:01,240 Speaker 11: country that have seen factories, clothes, and jobs disappear. Too 272 00:15:01,240 --> 00:15:05,600 Speaker 11: many companies lobbied for trade deals so they could sell 273 00:15:05,680 --> 00:15:12,000 Speaker 11: products abroad, but then they instead moved abroad and sold 274 00:15:12,040 --> 00:15:15,840 Speaker 11: back into the United States. It is also true that 275 00:15:16,000 --> 00:15:20,960 Speaker 11: China and other countries have gained the system for too long. Enforcement, 276 00:15:21,080 --> 00:15:26,480 Speaker 11: particularly during the Bush administration, has been too lex Investments 277 00:15:26,480 --> 00:15:29,160 Speaker 11: at home that would make us more competitive have been 278 00:15:29,200 --> 00:15:34,360 Speaker 11: completely blocked in Congress, and American workers and communities have 279 00:15:34,440 --> 00:15:35,200 Speaker 11: paid the price. 280 00:15:35,960 --> 00:15:37,560 Speaker 6: But the answer is not to. 281 00:15:37,600 --> 00:15:40,960 Speaker 11: Rant and raid or cut ourselves off from the world 282 00:15:41,480 --> 00:15:44,400 Speaker 11: that would end up killing even more jobs. The answer 283 00:15:44,920 --> 00:15:48,960 Speaker 11: is to finally make trade work for us, not against us. 284 00:15:49,160 --> 00:15:52,240 Speaker 11: So as President, I will stand up to China and 285 00:15:52,360 --> 00:15:56,200 Speaker 11: anyone else who tries to take advantage of American workers 286 00:15:56,320 --> 00:16:06,600 Speaker 11: and companies. And I'm going to ramp up enforcement by 287 00:16:06,760 --> 00:16:12,040 Speaker 11: appointing for the first time a cheap trade prosecutor. I 288 00:16:12,080 --> 00:16:16,560 Speaker 11: will triple the number of enforcement officers, and when countries 289 00:16:16,600 --> 00:16:22,120 Speaker 11: break the rules, we won't hesitate to impose targeted tariffs. 290 00:16:22,720 --> 00:16:25,880 Speaker 1: You're listening to the Michael Berry Show. 291 00:16:26,480 --> 00:16:29,600 Speaker 15: Give them the things that we know kill viral replication, 292 00:16:30,480 --> 00:16:32,920 Speaker 15: zinc and anything that enhances zinc like I dropped the 293 00:16:32,960 --> 00:16:36,800 Speaker 15: chloric when I remcdin, and one hundred other remedies that 294 00:16:36,840 --> 00:16:41,440 Speaker 15: we now know dramatically reduce the spread of this disease. 295 00:16:41,680 --> 00:16:45,600 Speaker 15: And what was our protocol. Our protocol was to do 296 00:16:45,680 --> 00:16:48,200 Speaker 15: none of that, no treatment until you go to the 297 00:16:48,240 --> 00:16:51,360 Speaker 15: hospital and then your treatment. Are two things that are 298 00:16:51,600 --> 00:16:56,960 Speaker 15: bound to kill you, ventilators and remdezevie. And Johnny Vauchi 299 00:16:57,040 --> 00:17:00,480 Speaker 15: knew that remed azevir would kill you. He knew that 300 00:17:00,520 --> 00:17:03,480 Speaker 15: because in twenty nineteen he tried to use it for 301 00:17:03,560 --> 00:17:07,600 Speaker 15: a bowl. Of twenty nineteen, he tried to use it 302 00:17:07,640 --> 00:17:10,760 Speaker 15: for a bowl and within five days of treatment it 303 00:17:10,800 --> 00:17:13,320 Speaker 15: gave lethal side effect to fifty four percent of the 304 00:17:13,320 --> 00:17:17,280 Speaker 15: people in the Safety Monitoring Board ordered him to terminate 305 00:17:17,600 --> 00:17:22,480 Speaker 15: the use of that drug, and he threw a phony, contrived, 306 00:17:23,359 --> 00:17:27,359 Speaker 15: absolutely fraudulent study that he manipulator and orchanestrated of that 307 00:17:27,640 --> 00:17:32,760 Speaker 15: drug made standard of carry. It is homicide. And if 308 00:17:32,800 --> 00:17:36,359 Speaker 15: you look how does it kill people? Two ways, three 309 00:17:36,359 --> 00:17:43,640 Speaker 15: ways kidney failure, heart failure, and all organ collapse and 310 00:17:43,760 --> 00:17:45,920 Speaker 15: what happened to the people who died in the pandemic? 311 00:17:46,080 --> 00:17:50,400 Speaker 15: What were they dying of kidney failure? All the doctor said, 312 00:17:50,440 --> 00:17:53,119 Speaker 15: you heard it again and again. We've never seen a 313 00:17:53,200 --> 00:17:57,080 Speaker 15: virus that attacks the kidneys because it wasn't the virus, 314 00:17:57,920 --> 00:17:58,240 Speaker 15: it was. 315 00:17:58,200 --> 00:17:59,119 Speaker 2: The rem desipor. 316 00:18:00,119 --> 00:18:04,800 Speaker 1: Health and Human Services Secretary RFK. Junior points out that 317 00:18:04,840 --> 00:18:10,240 Speaker 1: when studies have been done comparing kids and whether vaccines 318 00:18:10,320 --> 00:18:14,240 Speaker 1: work and any number of other medical issues, they never 319 00:18:14,320 --> 00:18:18,480 Speaker 1: looked at the vaccinated versus the unvaccinated because they didn't 320 00:18:18,520 --> 00:18:22,880 Speaker 1: want you to know that the vaccines in many cases 321 00:18:23,000 --> 00:18:26,480 Speaker 1: cause more problems than they solve or protect against. 322 00:18:26,840 --> 00:18:29,159 Speaker 2: The studies that they did were very, very narrow, and 323 00:18:29,200 --> 00:18:32,440 Speaker 2: there were about seventeen studies. The Institute of Medicine, which 324 00:18:32,520 --> 00:18:35,840 Speaker 2: is part of the National Academy of Science that says 325 00:18:35,880 --> 00:18:41,800 Speaker 2: that fourteen those studies are invalid. And the biggest weakness 326 00:18:41,800 --> 00:18:44,280 Speaker 2: in those studies is they never studied vaccinated for a 327 00:18:44,359 --> 00:18:46,560 Speaker 2: sun vaccinated group, which is the only way that you 328 00:18:46,600 --> 00:18:51,280 Speaker 2: can really make this determination. And more importantly, none of 329 00:18:51,280 --> 00:18:54,760 Speaker 2: the vaccines are given to children during the first six 330 00:18:54,800 --> 00:18:58,159 Speaker 2: months of life. We're ever studied. We're going to look 331 00:18:58,160 --> 00:19:00,480 Speaker 2: at vaccine or we're going to look at everything. Everything 332 00:19:00,560 --> 00:19:03,560 Speaker 2: is on the table, our food system, our water, our air, 333 00:19:04,720 --> 00:19:07,679 Speaker 2: different ways of parenting, all the kind of changes that 334 00:19:07,720 --> 00:19:11,959 Speaker 2: may have triggered this epidemic. It is an epidemic. Epidemics 335 00:19:11,960 --> 00:19:16,640 Speaker 2: are not caused by genes. Genes can provide a vulnerability, 336 00:19:16,680 --> 00:19:19,239 Speaker 2: but you need an environmental toxin. So we know that 337 00:19:19,440 --> 00:19:22,600 Speaker 2: it is an environmental toxin that is causing this cataclysm, 338 00:19:23,359 --> 00:19:25,560 Speaker 2: and we are going to identify it. We are narrowly 339 00:19:25,600 --> 00:19:28,520 Speaker 2: focused on identifying it and using as many scientists as 340 00:19:28,520 --> 00:19:33,000 Speaker 2: we can from universities and research centers all over the world, 341 00:19:33,640 --> 00:19:38,200 Speaker 2: focus them through NIH, through Ja Bodichara, to focus them 342 00:19:38,280 --> 00:19:39,520 Speaker 2: on answering this question. 343 00:19:40,200 --> 00:19:44,199 Speaker 1: Cheryl Atkinson does is such a great journalist, and she 344 00:19:44,359 --> 00:19:47,200 Speaker 1: points out she does such great work that the CDC 345 00:19:47,560 --> 00:19:51,880 Speaker 1: changed the definition of vaccine in twenty twenty one. Why 346 00:19:51,880 --> 00:19:53,960 Speaker 1: would you need to do that at the very time 347 00:19:54,520 --> 00:19:57,240 Speaker 1: you're putting a vaccine in people. We told you all 348 00:19:57,280 --> 00:19:58,639 Speaker 1: along it wasn't a vaccine. 349 00:19:58,840 --> 00:20:01,879 Speaker 6: Sometimes getting a keeping a vaccine on the market requires 350 00:20:02,200 --> 00:20:05,920 Speaker 6: sleight of hand. The Centers for Disease Control, our premier 351 00:20:06,000 --> 00:20:09,320 Speaker 6: infectious disease Federal Health agency, is happy to give a 352 00:20:09,359 --> 00:20:12,679 Speaker 6: little help to its vaccine industry partners, or, as the 353 00:20:12,680 --> 00:20:17,600 Speaker 6: CDC calls them, stakeholders. The agency's best and brightest can 354 00:20:17,720 --> 00:20:22,960 Speaker 6: even adjust the veritable meaning of the word vaccine. The 355 00:20:22,960 --> 00:20:27,080 Speaker 6: CDC used to define vaccines quite simply as agents that 356 00:20:27,600 --> 00:20:31,439 Speaker 6: prevent disease, but in twenty twenty one that had to 357 00:20:31,440 --> 00:20:35,840 Speaker 6: be changed. It became undeniable that COVID vaccines didn't prevent 358 00:20:35,920 --> 00:20:41,120 Speaker 6: the disease or transmission or even illness. Logic might suggest 359 00:20:41,200 --> 00:20:43,760 Speaker 6: that the COVID vaccines would have to be withdrawn from 360 00:20:43,760 --> 00:20:46,679 Speaker 6: the market, after all, they didn't even meet the definition 361 00:20:46,760 --> 00:20:52,159 Speaker 6: of a vaccine. Instead, the CDC quietly redefined the word 362 00:20:52,480 --> 00:20:57,000 Speaker 6: vaccine to make the COVID shots seem successful after all. 363 00:20:57,480 --> 00:21:01,760 Speaker 6: On the CDC's vaccine web page, sometime between September first 364 00:21:02,080 --> 00:21:06,240 Speaker 6: and September second, twenty twenty one, somebody removed a key 365 00:21:06,280 --> 00:21:10,960 Speaker 6: phrase from the definition. On September first, the CDC defined 366 00:21:11,000 --> 00:21:14,840 Speaker 6: a vaccine as quote a product that stimulates a person's 367 00:21:14,840 --> 00:21:19,760 Speaker 6: immune system to produce immunity to a specific disease, protecting 368 00:21:19,840 --> 00:21:23,879 Speaker 6: the person from that disease. But on September second, the 369 00:21:24,000 --> 00:21:28,800 Speaker 6: phrase protecting the person from that disease was removed like 370 00:21:28,840 --> 00:21:33,199 Speaker 6: it never even happened. Now, the CDC says vaccines merely 371 00:21:33,440 --> 00:21:37,960 Speaker 6: stimulate the body's immune response. Think of it. The CDC 372 00:21:38,240 --> 00:21:42,439 Speaker 6: unilaterally redefined two hundred years of the world's understanding of 373 00:21:42,480 --> 00:21:46,240 Speaker 6: what constitutes a vaccine without so much as an explanation, 374 00:21:46,560 --> 00:21:51,600 Speaker 6: public discussion, hearing, or vote. Once you understand that our 375 00:21:51,640 --> 00:21:56,120 Speaker 6: top trusted medical authorities are willing to sneakily move goalposts 376 00:21:56,359 --> 00:21:59,680 Speaker 6: and change meanings of words to protect a market, your 377 00:21:59,760 --> 00:22:03,560 Speaker 6: law way to beginning to understand how deep the corruption goes. 378 00:22:04,800 --> 00:22:08,000 Speaker 1: OURFK Junior Health and Human Service Secretary at a recent 379 00:22:08,040 --> 00:22:12,040 Speaker 1: cabinet meeting, made the statement that by September we will 380 00:22:12,080 --> 00:22:17,679 Speaker 1: know what has caused the autism epidemic. They believe they 381 00:22:17,680 --> 00:22:20,280 Speaker 1: are very close to being able to analyze the data 382 00:22:20,320 --> 00:22:22,480 Speaker 1: and find out why there's been an explosion in the 383 00:22:22,560 --> 00:22:24,440 Speaker 1: number of cases of autism. I'm gonna tell you something. 384 00:22:24,960 --> 00:22:26,720 Speaker 1: Some people are going to be hop and mad. 385 00:22:26,920 --> 00:22:29,879 Speaker 2: Oh we have now the autism rates have gone from 386 00:22:30,080 --> 00:22:32,600 Speaker 2: now most recent numbers we think are going to be 387 00:22:32,600 --> 00:22:36,200 Speaker 2: about one in thirty one one in twelve, So they're 388 00:22:36,240 --> 00:22:41,760 Speaker 2: going up again from one in ten thousand when I 389 00:22:41,880 --> 00:22:45,600 Speaker 2: was a kid, and we are going at your direction, 390 00:22:46,000 --> 00:22:48,240 Speaker 2: we are going to know by September. We've launched a 391 00:22:48,359 --> 00:22:54,959 Speaker 2: massive testing and research effort that's going to involve hundreds 392 00:22:54,960 --> 00:22:58,160 Speaker 2: of scientists from around the world. By September, we will 393 00:22:58,200 --> 00:23:01,639 Speaker 2: know what has caused the autism epidemic and we'll be 394 00:23:01,680 --> 00:23:03,399 Speaker 2: able to eliminate those exposures. 395 00:23:03,400 --> 00:23:04,399 Speaker 14: So think of that. 396 00:23:04,680 --> 00:23:09,240 Speaker 3: So it was one in ten thousand children had autism, 397 00:23:09,840 --> 00:23:13,640 Speaker 3: and now it's one in thirty one, not thirty one 398 00:23:13,640 --> 00:23:15,000 Speaker 3: thousand thirty one. 399 00:23:15,480 --> 00:23:19,600 Speaker 16: That is a that's a horrible statistic is in and 400 00:23:19,880 --> 00:23:22,560 Speaker 16: there's got to be something artificial out there that's doing this. 401 00:23:22,640 --> 00:23:24,640 Speaker 16: So you think you're going to have a pretty good ideah. 402 00:23:24,480 --> 00:23:25,760 Speaker 2: We will not September. 403 00:23:26,680 --> 00:23:27,400 Speaker 3: There will be no. 404 00:23:27,320 --> 00:23:29,879 Speaker 4: Bigger news conference and that So that's that's it. 405 00:23:29,920 --> 00:23:33,159 Speaker 16: If you can come up with that answer where you 406 00:23:33,200 --> 00:23:36,640 Speaker 16: stop taking something, you stop eating something, or maybe it's 407 00:23:36,680 --> 00:23:40,320 Speaker 16: a shot, but something's causing it, it can't be. It 408 00:23:40,320 --> 00:23:43,760 Speaker 16: can't be from ten thousand to can you imagine that market? 409 00:23:44,240 --> 00:23:46,280 Speaker 3: That's a big that's a big number. 410 00:23:46,600 --> 00:23:48,919 Speaker 16: Thank you very much doing it great, Thank you. 411 00:23:48,960 --> 00:23:54,280 Speaker 1: Buy RFK Junior talking about the crises in crisis in 412 00:23:54,359 --> 00:23:59,879 Speaker 1: fertility in teenagers. Today, an American teenager has less to 413 00:24:00,040 --> 00:24:02,040 Speaker 1: stosterone than a sixty eight year old man. 414 00:24:02,119 --> 00:24:08,280 Speaker 2: This is a problem. We're seeing crazies in fertility. Had 415 00:24:08,760 --> 00:24:14,479 Speaker 2: a teenager today, an American teenager has less testaserone than 416 00:24:14,480 --> 00:24:18,000 Speaker 2: a sixty eight year old man. Our seams firm counts 417 00:24:18,040 --> 00:24:23,119 Speaker 2: got dropped to fifty percent of historical rates. Girls in 418 00:24:23,160 --> 00:24:27,680 Speaker 2: our country are reaching puberty six years early. I'm ten 419 00:24:27,760 --> 00:24:28,879 Speaker 2: to thirteen years old. 420 00:24:29,840 --> 00:24:33,000 Speaker 17: We're seeing an explosion of cancers, including we talked just 421 00:24:33,119 --> 00:24:38,560 Speaker 17: recently about correctal cancers, which will never occurred in young people, 422 00:24:39,480 --> 00:24:40,159 Speaker 17: and now we're. 423 00:24:40,040 --> 00:24:43,399 Speaker 2: Seeing kids in their teens with correctal cancer and it's exploded. 424 00:24:44,040 --> 00:24:48,080 Speaker 9: You've got the Michael Berry's show, all right. 425 00:24:48,160 --> 00:24:50,480 Speaker 1: I've dedicated an entire segment to this because I want 426 00:24:50,520 --> 00:24:52,879 Speaker 1: you to hear it, and because I believe Anthony Fauci 427 00:24:52,920 --> 00:24:57,000 Speaker 1: should be in prison. This is a montage matt Or 428 00:24:57,080 --> 00:25:01,920 Speaker 1: Flea put it together of Anthony foul She contradicting himself 429 00:25:02,000 --> 00:25:04,800 Speaker 1: about masks. Do you remember how you had to wear 430 00:25:04,800 --> 00:25:06,600 Speaker 1: the mask and if you didn't wear the mask, you'd 431 00:25:06,600 --> 00:25:10,399 Speaker 1: be arrested and accosted and all these things. He kept 432 00:25:10,440 --> 00:25:13,600 Speaker 1: going back and forth on the masks again and again, 433 00:25:14,400 --> 00:25:17,560 Speaker 1: and the end result there was no honor, There was. 434 00:25:17,520 --> 00:25:20,720 Speaker 18: No truth to the masks. This is not rocket science. 435 00:25:21,119 --> 00:25:23,320 Speaker 18: We know exactly what we can do and what we 436 00:25:23,359 --> 00:25:24,160 Speaker 18: should be doing. 437 00:25:24,600 --> 00:25:25,840 Speaker 19: Please wear a mask. 438 00:25:25,920 --> 00:25:27,639 Speaker 18: No reason to be walking around with a mask. 439 00:25:27,680 --> 00:25:29,520 Speaker 5: I often myself wear two masks. 440 00:25:29,560 --> 00:25:31,879 Speaker 8: Every email from you, including I, do not recommend that 441 00:25:31,960 --> 00:25:32,480 Speaker 8: you wear a mask. 442 00:25:32,560 --> 00:25:34,720 Speaker 2: Everybody should be wearing a mask when they're outside. 443 00:25:34,840 --> 00:25:36,600 Speaker 19: We should not be walking around with masks. 444 00:25:36,640 --> 00:25:38,280 Speaker 2: I wear a mask when I'm outside. 445 00:25:38,359 --> 00:25:39,800 Speaker 19: You don't need a mask when you're outside. 446 00:25:39,880 --> 00:25:42,600 Speaker 2: Wear a mask at all times when you're outside. 447 00:25:43,040 --> 00:25:46,200 Speaker 18: So even if you are vaccinated, you should wear a mask. 448 00:25:46,280 --> 00:25:48,560 Speaker 19: If you are vaccinated, you do not need to wear 449 00:25:48,560 --> 00:25:49,040 Speaker 19: a mask. 450 00:25:49,040 --> 00:25:50,760 Speaker 13: Oct pouch, thank you for your clarity. 451 00:25:50,880 --> 00:25:54,600 Speaker 18: You wear a mask, you can decrease a likelihood transmitting or. 452 00:25:54,560 --> 00:25:57,440 Speaker 1: Required COVID nineteen by sixty SEV. 453 00:25:59,160 --> 00:26:02,480 Speaker 10: Masks work margins maybe ten percent. 454 00:26:04,040 --> 00:26:05,720 Speaker 2: You're a master communicator. 455 00:26:05,880 --> 00:26:09,320 Speaker 18: Wear a mask all the time consistently when you're outside. 456 00:26:09,359 --> 00:26:12,320 Speaker 19: It's not like I always wear one, always wear a mask. 457 00:26:12,400 --> 00:26:14,639 Speaker 5: You cannot recommend people wear a mask. 458 00:26:14,840 --> 00:26:17,680 Speaker 19: Children should still wear a mask at least one mask. 459 00:26:17,760 --> 00:26:19,480 Speaker 5: Don't need to be walking around with a mask. 460 00:26:19,480 --> 00:26:21,720 Speaker 1: Absolutely, we should have universal wearing a. 461 00:26:21,760 --> 00:26:23,679 Speaker 18: Mask mandating masks. 462 00:26:23,760 --> 00:26:25,000 Speaker 19: Yes, let's do it. 463 00:26:25,280 --> 00:26:28,560 Speaker 18: If it doesn't happen nationally, then I think that the 464 00:26:28,640 --> 00:26:30,800 Speaker 18: mayors and the governors should do it. 465 00:26:33,359 --> 00:26:35,600 Speaker 1: Mask mandates did nothing. 466 00:26:36,200 --> 00:26:37,440 Speaker 19: Forget the politics. 467 00:26:37,560 --> 00:26:38,560 Speaker 2: Look at the data. 468 00:26:39,280 --> 00:26:45,280 Speaker 5: Mask mandate states fared no better than states without mask commandates. 469 00:26:46,680 --> 00:26:48,520 Speaker 10: In hindsight, though, when you look at this, do you 470 00:26:48,600 --> 00:26:52,080 Speaker 10: think the mask mandates we were a mistake? 471 00:26:54,640 --> 00:26:56,760 Speaker 18: You know, I want kaylen, I don't want to say 472 00:26:56,760 --> 00:26:59,760 Speaker 18: a mistake, but I think we really need to remember. 473 00:27:00,080 --> 00:27:03,160 Speaker 11: High school student ended up in handcuffs after she refused 474 00:27:03,160 --> 00:27:03,919 Speaker 11: to wear a mask. 475 00:27:04,000 --> 00:27:04,760 Speaker 5: Wear a mask. 476 00:27:04,840 --> 00:27:07,080 Speaker 1: A man was removed from a sep of bus who 477 00:27:07,080 --> 00:27:08,080 Speaker 1: were not wearing a mask. 478 00:27:08,200 --> 00:27:11,640 Speaker 7: Just wear a mask, Ohio woman, after refusing to wear a. 479 00:27:11,560 --> 00:27:15,280 Speaker 1: Mask, wear your mask. 480 00:27:16,240 --> 00:27:17,280 Speaker 5: Make sure you have a mask. 481 00:27:17,640 --> 00:27:21,640 Speaker 1: Mask, wear a mask, your hand follow the science. 482 00:27:21,760 --> 00:27:24,560 Speaker 6: The officer's body slamming a woman when she refused to 483 00:27:24,600 --> 00:27:25,040 Speaker 6: wear a. 484 00:27:24,960 --> 00:27:26,959 Speaker 1: Mask based purely on the science. 485 00:27:27,040 --> 00:27:30,280 Speaker 10: They were yanked out of a Scuboard meeting after refusing 486 00:27:30,320 --> 00:27:31,119 Speaker 10: to wear mask. 487 00:27:31,320 --> 00:27:31,960 Speaker 2: Wear a mask. 488 00:27:32,080 --> 00:27:34,280 Speaker 1: She didn't gal over a dispute on whether or not 489 00:27:34,320 --> 00:27:35,080 Speaker 1: to wear a mask. 490 00:27:35,160 --> 00:27:35,760 Speaker 5: Wear a mask. 491 00:27:35,800 --> 00:27:38,240 Speaker 19: She was walking on a mask when everybody should wear 492 00:27:38,240 --> 00:27:40,119 Speaker 19: a mask. It was told to wear a mask, but 493 00:27:40,280 --> 00:27:41,720 Speaker 19: refuge got to wear a mask. 494 00:27:41,760 --> 00:27:44,040 Speaker 9: A mother is arrested in front of her young child, 495 00:27:44,119 --> 00:27:45,359 Speaker 9: You should be wearing a mask. 496 00:27:45,400 --> 00:27:47,919 Speaker 6: Do you wear a mask when you're not on television? 497 00:27:51,040 --> 00:27:53,920 Speaker 18: Well, you know, my life is pretty different. 498 00:27:54,160 --> 00:27:55,720 Speaker 2: I can say as a public health. 499 00:27:55,480 --> 00:27:59,600 Speaker 19: Official, but I would urge the leaders, the local political 500 00:28:00,119 --> 00:28:02,320 Speaker 19: leaders in states. 501 00:28:01,840 --> 00:28:05,360 Speaker 2: And cities and towns, to be as. 502 00:28:05,400 --> 00:28:08,480 Speaker 5: Forceful as possible in getting your. 503 00:28:08,359 --> 00:28:12,119 Speaker 2: Citizen treat to wear masks. Be as forceful as. 504 00:28:12,080 --> 00:28:15,920 Speaker 5: Possible, forced out in a handcuff. 505 00:28:15,560 --> 00:28:21,440 Speaker 2: Wear a mask, masks of very important. 506 00:28:24,000 --> 00:28:25,960 Speaker 8: You should be wearing a mask just days in front 507 00:28:25,960 --> 00:28:28,280 Speaker 8: of his wife and child. 508 00:28:27,520 --> 00:28:30,760 Speaker 18: Purely by just sorry that sixty six year handgun because 509 00:28:30,760 --> 00:28:31,680 Speaker 18: he didn't wear a mask. 510 00:28:31,760 --> 00:28:32,640 Speaker 7: Look at the science. 511 00:28:32,920 --> 00:28:36,920 Speaker 1: There is just no evidence that they masks make any difference, 512 00:28:37,119 --> 00:28:40,240 Speaker 1: full stop. The N ninety five masks, surgical or cloth 513 00:28:40,360 --> 00:28:41,960 Speaker 1: masks makes no difference. 514 00:28:42,160 --> 00:28:43,600 Speaker 10: Okay, then why was I wearing a mask? 515 00:28:43,920 --> 00:28:47,880 Speaker 1: For so many times? Policymakers to impose masks mandates were 516 00:28:47,880 --> 00:28:51,600 Speaker 1: convinced by non randomized, flawed observational studies. 517 00:28:51,680 --> 00:28:55,640 Speaker 19: But there's nothing to indicate that wearing a mask has 518 00:28:55,880 --> 00:28:57,200 Speaker 19: deleterious effects. 519 00:28:57,400 --> 00:29:00,320 Speaker 9: It does have costs. I can't count how many parents 520 00:29:00,400 --> 00:29:02,200 Speaker 9: have called me and said, look, my kid can't wear 521 00:29:02,200 --> 00:29:07,080 Speaker 9: a mask. It's really hurting, or parents telling me that 522 00:29:07,080 --> 00:29:09,320 Speaker 9: the kids didn't learn how to read or have verbal 523 00:29:09,360 --> 00:29:11,920 Speaker 9: problems as a result of the masking. It has costs. 524 00:29:11,960 --> 00:29:14,160 Speaker 9: It absolutely has harms, and there's no avis of working. 525 00:29:15,880 --> 00:29:19,760 Speaker 19: Obviously, children were older than two years old should be 526 00:29:19,800 --> 00:29:20,760 Speaker 19: wearing a mask. 527 00:29:21,080 --> 00:29:23,160 Speaker 1: Mass mandates for children under five. 528 00:29:23,640 --> 00:29:26,440 Speaker 18: And going back to what I said before, all of 529 00:29:26,480 --> 00:29:29,680 Speaker 18: that is in the context of at the time. 530 00:29:31,440 --> 00:29:33,240 Speaker 5: Five days scientomic evidence for that. 531 00:29:33,560 --> 00:29:36,360 Speaker 8: Excuse me, mass mandates for children under five, their scientific 532 00:29:36,360 --> 00:29:37,480 Speaker 8: evidence supporting that. 533 00:29:38,280 --> 00:29:41,920 Speaker 5: There was no study that did masks one kids before. 534 00:29:41,960 --> 00:29:43,080 Speaker 18: You couldn't do the study. 535 00:29:43,320 --> 00:29:45,680 Speaker 19: Children of a certain age greater than two years old 536 00:29:45,680 --> 00:29:46,720 Speaker 19: should be wearing. 537 00:29:46,760 --> 00:29:48,800 Speaker 5: Masks, no doubt about that. 538 00:29:49,800 --> 00:29:51,360 Speaker 2: Children should be wearing the masks. 539 00:29:51,520 --> 00:29:54,320 Speaker 6: They were kicked off of play because their two year 540 00:29:54,360 --> 00:29:55,840 Speaker 6: old wouldn't put on her mask. 541 00:29:56,040 --> 00:29:57,440 Speaker 4: Have the children have masks. 542 00:29:57,440 --> 00:29:59,560 Speaker 1: Her family was also kicked off the flo. 543 00:30:00,040 --> 00:30:03,400 Speaker 2: To see fresh fries boarding the plane and have a mask. 544 00:30:03,520 --> 00:30:06,960 Speaker 5: It is really not proud in full masks, well, children, 545 00:30:08,200 --> 00:30:10,680 Speaker 5: When the children go out into the community. 546 00:30:10,760 --> 00:30:12,880 Speaker 18: You want them to continue to wear masks. 547 00:30:12,880 --> 00:30:15,520 Speaker 8: A mom is bold to get off of flight because 548 00:30:15,760 --> 00:30:16,680 Speaker 8: two year old. 549 00:30:16,560 --> 00:30:17,600 Speaker 1: Would not wear a mask. 550 00:30:17,680 --> 00:30:20,000 Speaker 2: Children should be wearing masks from two years old. 551 00:30:21,080 --> 00:30:22,480 Speaker 18: You're dealing with science. 552 00:30:22,560 --> 00:30:25,200 Speaker 5: Two year old as a thrownoff of flight for not 553 00:30:25,280 --> 00:30:27,680 Speaker 5: wearing a mask. Thick put the science disable. 554 00:30:27,720 --> 00:30:29,560 Speaker 15: Ten year old kick out of the market. 555 00:30:29,240 --> 00:30:30,360 Speaker 2: For not wearing a mask. 556 00:30:30,360 --> 00:30:31,800 Speaker 5: Should children be wearing masks? 557 00:30:31,920 --> 00:30:34,760 Speaker 6: Yes, a little girl suspended for not wearing her masks. 558 00:30:34,800 --> 00:30:38,120 Speaker 18: Everybody mask police were called over the child's face mask. 559 00:30:38,200 --> 00:30:38,920 Speaker 19: Wear a mask. 560 00:30:39,000 --> 00:30:40,920 Speaker 9: If you're not wearing your mask, you will be sus mained. 561 00:30:40,920 --> 00:30:42,040 Speaker 2: You should be wearing the mask. 562 00:30:42,040 --> 00:30:44,120 Speaker 1: And the best way for me to prevent getting an 563 00:30:44,120 --> 00:30:46,440 Speaker 1: infectious disease is wearing a mask. 564 00:30:46,600 --> 00:30:48,240 Speaker 14: No, no, no, no, you do that. 565 00:30:48,520 --> 00:30:51,840 Speaker 18: You avoid all the paranoid aspects and do something positive. 566 00:30:52,480 --> 00:30:55,520 Speaker 18: Get some exercise, that's correct, you get good sleep. I 567 00:30:55,560 --> 00:30:59,560 Speaker 18: think that the normal, low tech, healthy things are the 568 00:30:59,560 --> 00:31:01,479 Speaker 18: best thing that you can do. David's state, all right, 569 00:31:01,480 --> 00:31:02,480 Speaker 18: well I'm going to try to do that. 570 00:31:03,480 --> 00:31:07,880 Speaker 19: So that was the reason for what is considered inconsistencies 571 00:31:08,320 --> 00:31:11,160 Speaker 19: about recommendations of wearing masks. 572 00:31:13,120 --> 00:31:13,840 Speaker 5: Doctor Doughty. 573 00:31:14,280 --> 00:31:15,760 Speaker 4: Before I begin to fight questions. 574 00:31:15,840 --> 00:31:18,680 Speaker 2: Just wanted to ask you, does wearing masks stop this 575 00:31:18,760 --> 00:31:20,840 Speaker 2: credit COVID or help prevent this credit covid? 576 00:31:21,520 --> 00:31:23,680 Speaker 19: I'm sorry, so I didn't hear your questions. 577 00:31:24,160 --> 00:31:27,600 Speaker 5: Doctor Fi. Does wearing masks help stop this thread of covid? 578 00:31:28,440 --> 00:31:29,120 Speaker 1: Absolutely? 579 00:31:30,080 --> 00:31:31,720 Speaker 2: Should people keep wearing masks? 580 00:31:31,920 --> 00:31:32,600 Speaker 13: Absolutely? 581 00:31:33,000 --> 00:31:36,320 Speaker 8: What specific studies do you cite to argue that the 582 00:31:36,640 --> 00:31:46,520 Speaker 8: public should be wearing masks well into twenty twenty two. 583 00:31:44,640 --> 00:31:47,960 Speaker 18: I'm not sure I understand the connection of what you're saying. 584 00:31:48,320 --> 00:31:50,880 Speaker 8: You're not telling everybody to wear a mask. Isn't it 585 00:31:51,000 --> 00:31:54,080 Speaker 8: just theater? No, it's not a vaccine, and you weren't too. 586 00:31:54,160 --> 00:31:56,240 Speaker 6: Mask. Isn't that theater? No, it's not. 587 00:31:56,280 --> 00:31:58,760 Speaker 5: Here we go again with the theater. Let's get down 588 00:31:58,760 --> 00:31:59,480 Speaker 5: to the facts. 589 00:32:00,080 --> 00:32:01,400 Speaker 1: There's no science behind it. 590 00:32:01,600 --> 00:32:04,920 Speaker 5: Well, let me just state for the record that masks 591 00:32:05,000 --> 00:32:07,680 Speaker 5: are not theater. Masks are protected. 592 00:32:07,760 --> 00:32:09,080 Speaker 1: There's no science behind it. 593 00:32:09,160 --> 00:32:10,480 Speaker 4: Here we go again with the theater. 594 00:32:10,680 --> 00:32:12,640 Speaker 1: Isn't that theater? Isn't it just theater? 595 00:32:13,040 --> 00:32:16,280 Speaker 5: Well, let me just state for the record that masks 596 00:32:16,400 --> 00:32:17,160 Speaker 5: are not theater. 597 00:32:17,400 --> 00:32:19,880 Speaker 8: There's no science behind Here we go again with the 598 00:32:20,160 --> 00:32:20,920 Speaker 8: isn't that theater? 599 00:32:21,240 --> 00:32:22,200 Speaker 6: Isn't it just theater? 600 00:32:22,560 --> 00:32:22,880 Speaker 2: Well? 601 00:32:23,080 --> 00:32:26,120 Speaker 5: Let me just state for the record that masks are 602 00:32:26,160 --> 00:32:26,680 Speaker 5: not theater. 603 00:32:26,960 --> 00:32:30,680 Speaker 8: There's no science behind Here we go again, right around 604 00:32:30,680 --> 00:32:32,040 Speaker 8: in two masks or show. 605 00:32:32,240 --> 00:32:35,520 Speaker 5: Well, let me just stink for the record that masks 606 00:32:35,640 --> 00:32:36,360 Speaker 5: are not theater. 607 00:32:36,640 --> 00:32:39,320 Speaker 8: There's no science behind Here we go again with the theater. 608 00:32:39,440 --> 00:32:40,640 Speaker 8: You won't be able to wear a mask for in 609 00:32:40,720 --> 00:32:41,320 Speaker 8: a couple of years. 610 00:32:41,880 --> 00:32:45,160 Speaker 5: Well, let me just stink for the record that masks 611 00:32:45,240 --> 00:32:46,000 Speaker 5: are not theater. 612 00:32:46,240 --> 00:32:48,520 Speaker 8: There's no science behind it. Here we go again with 613 00:32:48,560 --> 00:32:49,880 Speaker 8: the theater. Isn't that theater? 614 00:32:50,200 --> 00:32:51,160 Speaker 1: Isn't it just theater? 615 00:32:51,520 --> 00:32:52,360 Speaker 8: Well, let me. 616 00:32:52,400 --> 00:32:55,680 Speaker 5: Just stink for the record that masks are not theater. 617 00:32:55,920 --> 00:32:57,280 Speaker 8: There's no science behind me. 618 00:32:57,440 --> 00:32:59,920 Speaker 5: Here we go again with the theater. Let's get down 619 00:33:00,040 --> 00:33:00,600 Speaker 5: of facts. 620 00:33:01,160 --> 00:33:04,120 Speaker 19: If you need to be in society, just wear a 621 00:33:04,200 --> 00:33:08,520 Speaker 19: protective cloth clothing that would essentially be a functionally equivalent 622 00:33:09,040 --> 00:33:09,840 Speaker 19: of a mask. 623 00:33:10,040 --> 00:33:14,080 Speaker 18: You've got to get a well fitted mask that has 624 00:33:14,240 --> 00:33:18,840 Speaker 18: a high quality, and the two we know are high quality. 625 00:33:20,960 --> 00:33:23,680 Speaker 2: For me, Thank you, and goodnight.