1 00:00:00,840 --> 00:00:03,440 Speaker 1: All right, and follows that such a thing right now 2 00:00:03,480 --> 00:00:06,800 Speaker 1: as a happy Friday, right down our toll free telephone number. 3 00:00:06,800 --> 00:00:09,040 Speaker 1: It's eight hundred and nine four one. Sean. You want 4 00:00:09,039 --> 00:00:11,280 Speaker 1: to be a part of the program, I'll tell you 5 00:00:11,320 --> 00:00:14,240 Speaker 1: what is good. We are going to get through all 6 00:00:14,320 --> 00:00:20,239 Speaker 1: of this and if the patterns hold, and I expect 7 00:00:20,280 --> 00:00:23,439 Speaker 1: they will, and all the people professionals that I talk 8 00:00:23,520 --> 00:00:28,040 Speaker 1: to suspect the same. It is probably three to four 9 00:00:28,120 --> 00:00:31,760 Speaker 1: more weeks. It's gonna be rough, and then it's gonna level, 10 00:00:32,280 --> 00:00:36,480 Speaker 1: and then it's gonna drop off. And the amount of 11 00:00:36,600 --> 00:00:40,440 Speaker 1: preparation now that has been done is being done is 12 00:00:41,479 --> 00:00:45,360 Speaker 1: it is the biggest effort we'll ever see in our lifetime. 13 00:00:45,560 --> 00:00:48,440 Speaker 1: At the fast as like at the speed of light, 14 00:00:49,120 --> 00:00:52,400 Speaker 1: everything that is happening here anyway, Well, we do have 15 00:00:52,440 --> 00:00:55,639 Speaker 1: some good news, and as much as there is. A 16 00:00:55,680 --> 00:01:01,040 Speaker 1: healthcare workers union discovered a massive stockpile of N ninety 17 00:01:01,040 --> 00:01:04,160 Speaker 1: five masks, you know the ones that Joe Biden and 18 00:01:05,040 --> 00:01:11,120 Speaker 1: Barack Obama never replenished after the N one h one outbreak. Anyway, 19 00:01:11,240 --> 00:01:15,920 Speaker 1: union representing healthcare workers said they located thirty nine million 20 00:01:15,959 --> 00:01:19,800 Speaker 1: and ninety five masks, and we're connecting their supplier to hospital, 21 00:01:19,920 --> 00:01:23,960 Speaker 1: state and local governments, etc. They we've talked a lot 22 00:01:24,000 --> 00:01:31,600 Speaker 1: about hydroxy chloroquin along with as zithromyasin and the anecdotal results. 23 00:01:31,640 --> 00:01:34,639 Speaker 1: Doctor oz Away even on that later in the program today. 24 00:01:35,440 --> 00:01:38,679 Speaker 1: But the good news is the six million donated doses 25 00:01:38,760 --> 00:01:43,039 Speaker 1: from Israel have arrived, and they're going to give us 26 00:01:43,080 --> 00:01:47,039 Speaker 1: another four million. And we've been putting people on the 27 00:01:47,080 --> 00:01:49,640 Speaker 1: air and doctor oz has done some amazing work with 28 00:01:49,760 --> 00:01:53,880 Speaker 1: other doctors around the country informing people that you know, 29 00:01:54,160 --> 00:01:56,680 Speaker 1: they're not getting any bad news at all that he 30 00:01:56,800 --> 00:01:59,120 Speaker 1: has seen or shared with us. But we'll get an 31 00:01:59,160 --> 00:02:03,000 Speaker 1: update from him later in the program today. Businesses again 32 00:02:03,040 --> 00:02:06,680 Speaker 1: are stepping up big time, as they always do. We 33 00:02:06,920 --> 00:02:11,480 Speaker 1: are the United States of America. There is moments like 34 00:02:11,520 --> 00:02:15,880 Speaker 1: this that you gotta pause, you gotta stop, you start thinking, 35 00:02:15,919 --> 00:02:19,880 Speaker 1: you start looking, you start you know, you see a 36 00:02:20,000 --> 00:02:24,359 Speaker 1: landscape emerging, and to the credit of so many people, 37 00:02:24,440 --> 00:02:27,400 Speaker 1: you see the best in people. You know we look. 38 00:02:28,080 --> 00:02:31,760 Speaker 1: I always say, as Barry Farber had said, the great 39 00:02:31,800 --> 00:02:35,120 Speaker 1: talk show host, legend pioneer of this industry, never been 40 00:02:35,200 --> 00:02:37,480 Speaker 1: a country in the history man that has accumulated more 41 00:02:37,520 --> 00:02:41,240 Speaker 1: power abused it less than us. And I take it 42 00:02:41,320 --> 00:02:45,079 Speaker 1: one little step further, having learned from him that has 43 00:02:45,200 --> 00:02:48,280 Speaker 1: used that power for the advancement of the human condition. 44 00:02:49,080 --> 00:02:51,680 Speaker 1: That's what that's who we are. That is what we do. 45 00:02:52,680 --> 00:02:57,760 Speaker 1: And you see all of these businesses, You see all 46 00:02:57,840 --> 00:03:02,760 Speaker 1: of these healthcare world workers. You see our medical researchers 47 00:03:02,800 --> 00:03:07,760 Speaker 1: and scientists and doctors and first responders and nurses and 48 00:03:07,919 --> 00:03:12,280 Speaker 1: every other American on the front line to help their 49 00:03:12,400 --> 00:03:17,359 Speaker 1: fellow men and women in need. It's it's it's inspiring. 50 00:03:17,919 --> 00:03:22,280 Speaker 1: And the list is not small. It is dramatic. It 51 00:03:22,480 --> 00:03:26,679 Speaker 1: is America at its best. It is American exceptionalism. We 52 00:03:26,720 --> 00:03:31,080 Speaker 1: always talk about American exceptionalism. Here you see the long list. 53 00:03:31,160 --> 00:03:33,760 Speaker 1: I'll start putting all these up on Hannity dot com 54 00:03:33,760 --> 00:03:35,960 Speaker 1: of all the things that the President has done, every 55 00:03:36,000 --> 00:03:38,600 Speaker 1: step that he has taken, every step of the way. 56 00:03:39,960 --> 00:03:44,640 Speaker 1: We now know that FEMA has already distributed millions of 57 00:03:44,680 --> 00:03:49,040 Speaker 1: millions of N ninety five masks face mask. They're all 58 00:03:49,080 --> 00:03:52,160 Speaker 1: getting out there in record time. President kind of hit 59 00:03:52,240 --> 00:03:54,680 Speaker 1: GM a little bit today and GM responded, no, no no, no, 60 00:03:54,720 --> 00:03:57,400 Speaker 1: we just brought back a thousand workers where we're getting 61 00:03:57,480 --> 00:04:02,400 Speaker 1: right to the bottom of this. Immediately, I watch with amazement. 62 00:04:03,040 --> 00:04:06,000 Speaker 1: I cannot believe here. It is ground zero in New York. 63 00:04:06,680 --> 00:04:10,960 Speaker 1: This is the number one terror target, most likely terror 64 00:04:10,960 --> 00:04:14,360 Speaker 1: target in the entire United States. If you're going to 65 00:04:14,480 --> 00:04:17,880 Speaker 1: have a health pandemic or any type of pandemic, it's 66 00:04:18,360 --> 00:04:22,240 Speaker 1: it's pretty good odds that when you have millions of 67 00:04:22,279 --> 00:04:26,360 Speaker 1: people in such close proximity as you do in New 68 00:04:26,440 --> 00:04:30,080 Speaker 1: York City, that you're gonna be on the front lines 69 00:04:30,120 --> 00:04:33,520 Speaker 1: of whatever that pandemic is. And every single day and 70 00:04:33,560 --> 00:04:37,040 Speaker 1: you watch the governor of New York and he speaks authoritatively, 71 00:04:37,279 --> 00:04:41,400 Speaker 1: he really does. He sounds like he's in control. And 72 00:04:41,720 --> 00:04:43,720 Speaker 1: Comrade de Blasio, I don't even know what to say 73 00:04:43,720 --> 00:04:47,480 Speaker 1: about this. He's just a bumbling fool. And I watch 74 00:04:47,560 --> 00:04:51,520 Speaker 1: these guys that I'm like every single day there, you know. 75 00:04:51,880 --> 00:04:54,280 Speaker 1: So the President of the United States is setting up 76 00:04:54,279 --> 00:04:57,360 Speaker 1: and building with the Core Engineer what do you call 77 00:04:57,400 --> 00:05:02,520 Speaker 1: the Corps of Engineers, four separate hospitals in New York. 78 00:05:03,160 --> 00:05:06,720 Speaker 1: Now they were able to advance the movement of this 79 00:05:07,040 --> 00:05:10,560 Speaker 1: US Navy hospital up to New York. Harbord's leaving tomorrow. 80 00:05:11,160 --> 00:05:13,920 Speaker 1: It'll be available for the people of New York. They 81 00:05:14,000 --> 00:05:18,320 Speaker 1: just got four thousand ventilators sent this week to New York, 82 00:05:18,640 --> 00:05:20,600 Speaker 1: and even Quemos says, no, we don't need them now, 83 00:05:20,640 --> 00:05:22,760 Speaker 1: but we think we're gonna need them. I had four, 84 00:05:23,400 --> 00:05:26,800 Speaker 1: ain't thirty thousand? Okay, why didn't you prepare for them? 85 00:05:27,640 --> 00:05:31,240 Speaker 1: We told you about the case Washington Post article twenty fifteen. 86 00:05:31,680 --> 00:05:36,200 Speaker 1: It makes you wonder. Now, what makes me and has 87 00:05:36,320 --> 00:05:39,080 Speaker 1: made me so confident that we're gonna get through this 88 00:05:39,240 --> 00:05:44,640 Speaker 1: is because I do have faith, trust, hope, belief, because 89 00:05:44,680 --> 00:05:52,520 Speaker 1: we've in American ingenuity, American genius, American entrepreneurial endeavors. I 90 00:05:52,560 --> 00:05:55,040 Speaker 1: mean all the businesses that have stepped up that they 91 00:05:55,040 --> 00:05:58,320 Speaker 1: are going to they're gonna step up when needed, when 92 00:05:58,400 --> 00:06:01,400 Speaker 1: called upon, And it is all happening on unfolding before 93 00:06:01,400 --> 00:06:06,440 Speaker 1: our eyes. It's at times it's sloppy and difficult. You know, 94 00:06:06,480 --> 00:06:09,360 Speaker 1: you need to prepare yourself emotionally for what we told 95 00:06:09,400 --> 00:06:11,800 Speaker 1: you was coming now for weeks that you're going to 96 00:06:11,880 --> 00:06:14,680 Speaker 1: see this rapid rise in the numbers of people with 97 00:06:14,720 --> 00:06:18,480 Speaker 1: more testing that have contracted the coronavirus. But I urge 98 00:06:18,480 --> 00:06:21,920 Speaker 1: you to please remember the vast majority of those that 99 00:06:21,960 --> 00:06:25,120 Speaker 1: will have contracted coronavirus and not going to need to 100 00:06:25,160 --> 00:06:28,800 Speaker 1: be hospitalized and they are going to fully recover as 101 00:06:28,839 --> 00:06:31,640 Speaker 1: we continue to work on treatments. For example, for the 102 00:06:31,640 --> 00:06:38,039 Speaker 1: sickest patients, that combination of hydroxy chloroquin and zithromyasin is 103 00:06:38,040 --> 00:06:41,159 Speaker 1: showing great promising results. There's a trial going on right 104 00:06:41,200 --> 00:06:43,560 Speaker 1: now in New York. I don't like the idea that 105 00:06:43,600 --> 00:06:46,560 Speaker 1: no doctor can prescribe it on his own unless you 106 00:06:47,080 --> 00:06:51,880 Speaker 1: are forced into the government trial if you even want 107 00:06:51,920 --> 00:06:56,320 Speaker 1: any chance of getting hydra a chloroquin. That's not fair 108 00:06:56,320 --> 00:06:59,960 Speaker 1: to everybody. There are people hoarding it. Well. We now 109 00:07:00,160 --> 00:07:03,400 Speaker 1: have Bear in another pharmacy company that are now pumping 110 00:07:03,400 --> 00:07:05,039 Speaker 1: it out left and right, so there'll be plenty for 111 00:07:05,080 --> 00:07:08,880 Speaker 1: everybody in short order as the numbers begin to rise, 112 00:07:09,000 --> 00:07:12,960 Speaker 1: and as hopefully the success numbers continue to grow. And 113 00:07:13,240 --> 00:07:16,480 Speaker 1: in the technology we now learned yesterday, ventilators can now 114 00:07:16,480 --> 00:07:19,240 Speaker 1: be converted to serve up to four separate patients at 115 00:07:19,240 --> 00:07:24,200 Speaker 1: a time. The head of the President's Coronavirus Task Force, 116 00:07:24,280 --> 00:07:29,480 Speaker 1: Vice President Pence, said yesterday that anniesiologists have figured out 117 00:07:29,520 --> 00:07:32,560 Speaker 1: a way to convert their machines fairly easily into ventilators. 118 00:07:32,560 --> 00:07:34,600 Speaker 1: Should we need more, he said that would mean tens 119 00:07:34,600 --> 00:07:37,640 Speaker 1: of thousands more available. The goal would be not to 120 00:07:37,680 --> 00:07:39,560 Speaker 1: get to the point that we need all of that, 121 00:07:40,600 --> 00:07:43,600 Speaker 1: but clearly we have the triage capability. We're targeting the 122 00:07:43,640 --> 00:07:47,160 Speaker 1: areas where there's the heaviest concentration of people that have 123 00:07:47,360 --> 00:07:52,000 Speaker 1: contracted the virus. And anytime with all of this happening 124 00:07:52,040 --> 00:07:55,360 Speaker 1: and the President rewriting the books, and you never get 125 00:07:55,360 --> 00:07:57,440 Speaker 1: a pat on the back. Wow, the President did a 126 00:07:57,480 --> 00:08:00,240 Speaker 1: great job with that travel ban. The President got us 127 00:08:00,400 --> 00:08:03,080 Speaker 1: is building US for hospitals. The President sending in the 128 00:08:03,160 --> 00:08:06,960 Speaker 1: Navy hospital ship. The President has sent up the ventilator 129 00:08:06,960 --> 00:08:09,800 Speaker 1: as the President has done. No, you don't you get 130 00:08:09,880 --> 00:08:11,520 Speaker 1: You don't even get to thank you hardly out of 131 00:08:11,520 --> 00:08:13,280 Speaker 1: these guys. So all you get is I need more 132 00:08:13,560 --> 00:08:17,320 Speaker 1: more now, hurry. And I gotta wonder, well, why didn't 133 00:08:17,400 --> 00:08:21,559 Speaker 1: you all prepare for what is predictable for a city 134 00:08:21,640 --> 00:08:26,360 Speaker 1: like New York. The lack of preparation is breathtaking to me. 135 00:08:27,160 --> 00:08:31,200 Speaker 1: The President has directed the federal response. He's helping every 136 00:08:31,320 --> 00:08:35,560 Speaker 1: single state ine in need, and everything they've asked for 137 00:08:35,640 --> 00:08:39,120 Speaker 1: so far they have all gotten and gotten in record time. 138 00:08:39,360 --> 00:08:42,880 Speaker 1: Everyone acknowledges New York as the epicenter I grew up 139 00:08:42,880 --> 00:08:44,880 Speaker 1: in New York. I want New York taking care of 140 00:08:45,000 --> 00:08:47,400 Speaker 1: I don't want anybody to die. As the President had 141 00:08:47,440 --> 00:08:49,800 Speaker 1: to answer the question the other day, how many deaths 142 00:08:49,840 --> 00:08:54,120 Speaker 1: are acceptable? How about none? Nobody wants anybody to die. 143 00:08:54,200 --> 00:08:56,760 Speaker 1: I wish we didn't lose tens of thousands of Americans 144 00:08:56,760 --> 00:08:59,760 Speaker 1: every year of the flu. I wish that sixty point 145 00:08:59,760 --> 00:09:03,200 Speaker 1: eight million Americans didn't contract H one N one in 146 00:09:03,200 --> 00:09:06,680 Speaker 1: two thousand and nine and ten. I wish thirteen thousand 147 00:09:06,760 --> 00:09:09,320 Speaker 1: people didn't die in that pandemic in the first year. 148 00:09:09,679 --> 00:09:13,040 Speaker 1: I wish hundreds of thousands of Americans were in hospitalized 149 00:09:13,440 --> 00:09:16,800 Speaker 1: during that pandemic. You know, but the President is you 150 00:09:16,840 --> 00:09:19,679 Speaker 1: know every step of the way. There's a long list, 151 00:09:19,679 --> 00:09:22,000 Speaker 1: will put it on Hannity dot Com. All of it 152 00:09:22,080 --> 00:09:24,360 Speaker 1: is going They're even turning the Japhets Center into an 153 00:09:24,400 --> 00:09:27,840 Speaker 1: additional hospital another thousand beds, and the same things going 154 00:09:27,880 --> 00:09:31,720 Speaker 1: on out in California. And that means all the accompanying 155 00:09:31,760 --> 00:09:35,040 Speaker 1: medical supplies. How is it New York hospitals were not 156 00:09:35,240 --> 00:09:40,600 Speaker 1: prepared for something like this. It would think you would 157 00:09:40,640 --> 00:09:44,600 Speaker 1: have these plans in place immediately, knowing that New York 158 00:09:44,960 --> 00:09:47,640 Speaker 1: would be a terror target. New York would have bigger 159 00:09:47,640 --> 00:09:50,840 Speaker 1: problems when there were pandemics like this. And you know 160 00:09:50,960 --> 00:09:53,920 Speaker 1: in the camp, the complaining, the complaining, it's never good enough, 161 00:09:54,000 --> 00:09:58,400 Speaker 1: never thank you, nothing, And then there's were only getting 162 00:09:58,440 --> 00:10:00,960 Speaker 1: three point eight billion and of this sting, no, you're 163 00:10:01,000 --> 00:10:02,960 Speaker 1: getting forty billion. And if you have a problem with 164 00:10:03,000 --> 00:10:05,480 Speaker 1: the bill, Donald Trump doesn't write bills, talk to your 165 00:10:05,600 --> 00:10:08,439 Speaker 1: Senate Minority leader fellow in New York or Chucky Schumer 166 00:10:08,480 --> 00:10:13,160 Speaker 1: about it. How come you are acting totally helpless and 167 00:10:13,280 --> 00:10:15,800 Speaker 1: just saying, we need this, we need it, we need it. 168 00:10:16,040 --> 00:10:18,960 Speaker 1: What are you doing to get these things together? Last 169 00:10:19,040 --> 00:10:22,160 Speaker 1: year New York spent one hundred and seventy billion dollars. 170 00:10:22,800 --> 00:10:25,319 Speaker 1: That's a lot of money, you know, and the and 171 00:10:25,440 --> 00:10:29,760 Speaker 1: the city what ninety billion dollars you know, I mean, 172 00:10:30,080 --> 00:10:32,840 Speaker 1: these are massive amounts of money. They didn't have any 173 00:10:32,880 --> 00:10:39,760 Speaker 1: stockpile of any medical supplies, mass, ventilators, respirators, nothing, gowns, gloves, 174 00:10:40,640 --> 00:10:42,280 Speaker 1: It's like they have nothing. He had like a week 175 00:10:42,360 --> 00:10:46,880 Speaker 1: supply that is unconscionable. But they you know, while Cuomo 176 00:10:47,040 --> 00:10:49,800 Speaker 1: was busy, you know, he actually spent seven hundred and 177 00:10:49,800 --> 00:10:54,720 Speaker 1: fifty million dollars for a solar panel factory. Yeah, that 178 00:10:54,720 --> 00:10:58,120 Speaker 1: didn't work out. They had to close it down, ninety 179 00:10:58,120 --> 00:11:02,120 Speaker 1: million for a lightbulb company in California that they were 180 00:11:02,120 --> 00:11:03,960 Speaker 1: going to work with. In New York that closed down 181 00:11:03,960 --> 00:11:07,400 Speaker 1: two six hundred million for a computer chip factory that 182 00:11:07,480 --> 00:11:12,680 Speaker 1: sits empty. And Cuomo again twenty fifteen, was warned that 183 00:11:12,800 --> 00:11:16,640 Speaker 1: New York would need additional ventilators to manage any future pandemics, 184 00:11:16,640 --> 00:11:19,880 Speaker 1: but he chose instead he assembled a task force to 185 00:11:19,960 --> 00:11:23,600 Speaker 1: determine how the states two thousand ventilators already on hand 186 00:11:23,640 --> 00:11:27,360 Speaker 1: would be rationed. That's what he did. This is Cuomo's 187 00:11:27,400 --> 00:11:30,520 Speaker 1: third term as governor, de Blasio's second term as mayor. 188 00:11:31,200 --> 00:11:33,839 Speaker 1: They should have been more prepared, hospital should have been 189 00:11:33,840 --> 00:11:37,120 Speaker 1: more prepared. But with that said, it's all gonna get done. 190 00:11:37,160 --> 00:11:42,040 Speaker 1: All the supplies are arriving. And but this, this blame 191 00:11:42,080 --> 00:11:45,520 Speaker 1: and this lack of appreciation is nauseating because it's the 192 00:11:45,520 --> 00:11:49,520 Speaker 1: American taxpayer around the country that are going to end 193 00:11:49,559 --> 00:11:51,640 Speaker 1: up fitting the footing the bill for all of this, which, 194 00:11:51,679 --> 00:11:54,719 Speaker 1: by the way, is the right. We understand nobody's big 195 00:11:54,760 --> 00:11:57,040 Speaker 1: grudging New York to help they need because if we 196 00:11:57,080 --> 00:11:59,960 Speaker 1: stop at New York, it's less likely to go anywhere else. 197 00:12:00,120 --> 00:12:04,080 Speaker 1: We need to stop it. You know that this hillacious 198 00:12:04,160 --> 00:12:06,400 Speaker 1: week that it has been. Now we've been waiting a 199 00:12:06,400 --> 00:12:09,640 Speaker 1: week to help hospitals and workers and small business and 200 00:12:09,760 --> 00:12:13,880 Speaker 1: large businesses, etcetera, etcetera. And what do we see unfold? 201 00:12:13,960 --> 00:12:17,520 Speaker 1: You know, twenty five million for the Kennedy Performing Arts Center, 202 00:12:17,640 --> 00:12:21,640 Speaker 1: seventy five million PBS MPR, all the money for the 203 00:12:21,760 --> 00:12:24,520 Speaker 1: National and Downmond for the arts, all the money for 204 00:12:24,600 --> 00:12:29,720 Speaker 1: the National Downmond for humanities. They hold the Republicans hostage, 205 00:12:30,200 --> 00:12:35,319 Speaker 1: and they hold American workers in American hospitals hostage, and 206 00:12:35,320 --> 00:12:37,520 Speaker 1: and pretty much they put a gun to their head 207 00:12:37,559 --> 00:12:39,920 Speaker 1: politically speaking and saying well, we're not gonna do it 208 00:12:40,000 --> 00:12:42,120 Speaker 1: unless you do this, this, this, this, this, this, and 209 00:12:42,200 --> 00:12:45,520 Speaker 1: this that does it does nothing. Then they blame When 210 00:12:45,520 --> 00:12:48,200 Speaker 1: all else failed, blame Fox News. And you always blame 211 00:12:48,280 --> 00:12:50,400 Speaker 1: Donald Trump. If the dog bites at the beast things 212 00:12:50,400 --> 00:12:54,560 Speaker 1: you're feeling sad, you can always blame Donald Trump. Look, 213 00:12:54,559 --> 00:12:58,840 Speaker 1: we're gonna get through this. We are Americans. It's all 214 00:12:58,880 --> 00:13:02,960 Speaker 1: hands on deck. The good news is that the overwhelming 215 00:13:03,120 --> 00:13:08,640 Speaker 1: majority of people are good. The overwhelming majority of people 216 00:13:08,760 --> 00:13:12,000 Speaker 1: rise to the occasion. Then you got your price gougers. 217 00:13:12,240 --> 00:13:15,720 Speaker 1: Then you got your hoarders fighting in supermarket aisles over 218 00:13:15,800 --> 00:13:19,920 Speaker 1: toilet paper. And then you got your government hoarders and 219 00:13:20,120 --> 00:13:23,520 Speaker 1: gougers like we watched for the last week. You know, 220 00:13:23,600 --> 00:13:26,439 Speaker 1: get demanding all this money. Are they're not going to 221 00:13:26,559 --> 00:13:29,360 Speaker 1: give people that desperately need help the help they need, 222 00:13:29,720 --> 00:13:32,880 Speaker 1: They're just as guilty. Then you get the unprepared like 223 00:13:33,040 --> 00:13:35,360 Speaker 1: the mayor of New York and the Governor of New York. Well, 224 00:13:35,400 --> 00:13:37,320 Speaker 1: but we're not going to pay politics. We're not going 225 00:13:37,360 --> 00:13:40,240 Speaker 1: to do that. By the way, Cuomo's now forcing nursing 226 00:13:40,320 --> 00:13:44,640 Speaker 1: homes to accept coronavirus patients after the discharge from hospitals. 227 00:13:44,640 --> 00:13:47,280 Speaker 1: I don't think that's a good idea. And he has 228 00:13:47,320 --> 00:13:50,600 Speaker 1: to admit shutting down New York's economy. That might have 229 00:13:50,640 --> 00:13:54,160 Speaker 1: been a mistake. And the Blasio, we need more than 230 00:13:54,200 --> 00:13:58,920 Speaker 1: thirty thousand ventilators he's trying to outventilate or the governor. Meanwhile, 231 00:13:58,920 --> 00:14:02,280 Speaker 1: they're not using the four thousand they've got now and 232 00:14:02,360 --> 00:14:05,880 Speaker 1: the four thousand more that are coming, and the creative 233 00:14:05,920 --> 00:14:08,720 Speaker 1: ways that we can use other equipment quickly to turn 234 00:14:08,760 --> 00:14:12,680 Speaker 1: it around. Remember how the mob and the media that whiny, 235 00:14:13,440 --> 00:14:15,960 Speaker 1: what the president's not doing enough press conferences. You're a 236 00:14:15,960 --> 00:14:17,959 Speaker 1: new press conference. He doesn't want to face the press. 237 00:14:18,000 --> 00:14:21,200 Speaker 1: He stays away from the press. Now all of a sudden, 238 00:14:21,200 --> 00:14:24,560 Speaker 1: they're like, oh, we see him every day. They didn't 239 00:14:24,560 --> 00:14:27,920 Speaker 1: want press conferences. They wanted an opportunity to beat up 240 00:14:27,960 --> 00:14:32,560 Speaker 1: Donald Trump. Russia, Russia, Ukraine, Ukraine, impeach, impeach. Okay, now 241 00:14:32,560 --> 00:14:36,240 Speaker 1: they're getting daily updates. We need to stop them. New 242 00:14:36,320 --> 00:14:41,080 Speaker 1: York Times mob reporter Michael Grimmbound writing a piece this 243 00:14:41,120 --> 00:14:44,640 Speaker 1: week questioning whether or not the network should air them. 244 00:14:44,840 --> 00:14:46,920 Speaker 1: You look at the mob and the media. How wrong 245 00:14:46,960 --> 00:14:50,640 Speaker 1: they've been. Washington Post on February First, Get a grip America. 246 00:14:50,720 --> 00:14:54,920 Speaker 1: The flu is a much bigger threat than coronavirus. February third. 247 00:14:55,320 --> 00:14:58,600 Speaker 1: Why we should be weary of an aggressive government response 248 00:14:58,640 --> 00:15:03,920 Speaker 1: to coronavirus? Oh? The New York fake news Times? February fifth. 249 00:15:04,080 --> 00:15:07,280 Speaker 1: Who says it's not safe to travel to China? The 250 00:15:07,360 --> 00:15:11,960 Speaker 1: corona virus travel ban is unjust. It's called the Trump virus. 251 00:15:11,960 --> 00:15:15,080 Speaker 1: If you're feeling awful, you know who to blame. Well, 252 00:15:15,080 --> 00:15:18,280 Speaker 1: now they want more press conferences. No, we better stop 253 00:15:18,320 --> 00:15:22,160 Speaker 1: Aaron Ese. He looks too presidential. This is not good. Oh. 254 00:15:22,160 --> 00:15:25,520 Speaker 1: One other thing about New York, Governor Cuomo, why just 255 00:15:25,520 --> 00:15:29,760 Speaker 1: spend one Why did you spend let's see fourteen million 256 00:15:29,800 --> 00:15:32,480 Speaker 1: dollars and I love New York signs. How much is 257 00:15:32,520 --> 00:15:35,560 Speaker 1: New York spending on healthcare for illegals when you could 258 00:15:35,560 --> 00:15:39,520 Speaker 1: have ventilators and gowns and gloves and masks and respirators. 259 00:15:39,560 --> 00:15:42,160 Speaker 1: Governor all right, twenty fives at the top of the arm. Oh, 260 00:15:42,160 --> 00:15:44,520 Speaker 1: that's Andrew. This is gonna be one of the moments 261 00:15:44,520 --> 00:15:46,880 Speaker 1: that they look back for generations. Yeah, and let me 262 00:15:46,920 --> 00:15:51,200 Speaker 1: tell you something, Andrew Cuomo. As you waste, fraud and 263 00:15:51,320 --> 00:15:55,720 Speaker 1: abuse and lack of preparation, those are questions you're going 264 00:15:55,760 --> 00:15:59,160 Speaker 1: to have to answer for. You got you're getting. You're 265 00:15:59,160 --> 00:16:04,240 Speaker 1: getting five hospitals, you're getting a Navy hospital. You are 266 00:16:04,480 --> 00:16:08,480 Speaker 1: you've gotten four thousand ventilators that you yourself today acknowledge 267 00:16:08,520 --> 00:16:10,920 Speaker 1: you don't need right now, but you might need. And 268 00:16:11,000 --> 00:16:13,880 Speaker 1: by the way, it's the right thing to do. Up 269 00:16:13,880 --> 00:16:16,360 Speaker 1: to nearly forty thousand cases in New York alone, the 270 00:16:16,440 --> 00:16:19,320 Speaker 1: vast majority it is ground zero. Makes sense. It's an 271 00:16:19,320 --> 00:16:23,080 Speaker 1: international city, New York City. We want to help the 272 00:16:23,120 --> 00:16:25,440 Speaker 1: people in New York city. We want to stop the pandemic. 273 00:16:25,720 --> 00:16:28,840 Speaker 1: We want people healthy. We want I'm with the president. 274 00:16:28,880 --> 00:16:31,160 Speaker 1: How many deaths are acceptable? None? We don't want any 275 00:16:31,840 --> 00:16:34,160 Speaker 1: You know, we lost tens of thousands of people to 276 00:16:34,240 --> 00:16:39,040 Speaker 1: the flu this past flu season, and every flu season, 277 00:16:40,360 --> 00:16:44,320 Speaker 1: sixty point eight million Americans contracted H one N one. 278 00:16:44,400 --> 00:16:49,320 Speaker 1: Hundreds of thousands of Americans were hospitalized as a result 279 00:16:49,400 --> 00:16:52,440 Speaker 1: of N one h one of your Joe Biden. That's 280 00:16:52,440 --> 00:16:56,240 Speaker 1: a lot of people. First year, nearly thirteen thousand Americans died. 281 00:16:56,320 --> 00:16:58,000 Speaker 1: I don't want anybody to die. I want to I 282 00:16:58,040 --> 00:17:00,600 Speaker 1: want to cure for cancer. Put all of us go. 283 00:17:00,720 --> 00:17:02,840 Speaker 1: Look at the Hannity dot Com timeline. I don't have 284 00:17:02,880 --> 00:17:08,960 Speaker 1: time to respond to idiots. Now, worldwide, we have five 285 00:17:09,080 --> 00:17:13,639 Speaker 1: hundred and eighty five thousand and forty people that have 286 00:17:13,680 --> 00:17:17,200 Speaker 1: contracted corona that we are aware of. I still can't 287 00:17:17,280 --> 00:17:21,600 Speaker 1: believe China's numbers. We don't know worldwide we have so 288 00:17:21,640 --> 00:17:25,080 Speaker 1: far there are twenty six thousand, eight hundred and nineteen 289 00:17:25,480 --> 00:17:28,840 Speaker 1: deaths in the US. We're close to one hundred thousand 290 00:17:28,920 --> 00:17:31,720 Speaker 1: that have contracted the virus. Ninety seven thousand and twenty 291 00:17:31,760 --> 00:17:36,159 Speaker 1: eight one thousand, four hundred and seventy five Americans have 292 00:17:36,359 --> 00:17:39,359 Speaker 1: died as a result of coronavirus. Thank god we put 293 00:17:39,359 --> 00:17:43,160 Speaker 1: the travel ban in effect. That was ten days after 294 00:17:43,240 --> 00:17:49,080 Speaker 1: identifying the first known case in the United States. We're 295 00:17:49,080 --> 00:17:52,000 Speaker 1: watching the mob and the media. They were telling us off. 296 00:17:52,440 --> 00:17:54,680 Speaker 1: You know, there will be a bunch of babies. They're 297 00:17:54,680 --> 00:17:56,560 Speaker 1: the one. And you know, the funny thing is they 298 00:17:56,640 --> 00:17:59,040 Speaker 1: accused me that I changed. I didn't change at all. 299 00:17:59,520 --> 00:18:02,480 Speaker 1: And then when as soon as I went back, as 300 00:18:02,520 --> 00:18:04,879 Speaker 1: soon as my team went back, as soon as Linda 301 00:18:04,920 --> 00:18:07,680 Speaker 1: went back, as soon as everyone else went back, well 302 00:18:07,720 --> 00:18:11,399 Speaker 1: what do we discover? January twenty seventh, Anthony Fauci was 303 00:18:11,520 --> 00:18:15,000 Speaker 1: on my television show and the twenty seventh and the 304 00:18:15,080 --> 00:18:18,560 Speaker 1: twenty eighth. I was saying, oh, oh, I don't like 305 00:18:18,720 --> 00:18:24,320 Speaker 1: this because people that are asymptomatic for days and days, 306 00:18:25,040 --> 00:18:28,560 Speaker 1: they are highly contagious. That's a problem. And it looked 307 00:18:28,600 --> 00:18:31,680 Speaker 1: like it might be aerosol or airborne, as they say. 308 00:18:32,240 --> 00:18:34,800 Speaker 1: I was saying that back in January, even before the 309 00:18:34,840 --> 00:18:38,040 Speaker 1: travel band. I saw it. I understand it. It just 310 00:18:38,080 --> 00:18:40,760 Speaker 1: so happens. All of my friends are doctors. I ask 311 00:18:40,840 --> 00:18:43,480 Speaker 1: a lot of questions. I do have a favorite story 312 00:18:43,480 --> 00:18:45,400 Speaker 1: to tell about this. I do have one doctor friend 313 00:18:45,400 --> 00:18:48,840 Speaker 1: of mine, and you know, by before I'll ever call 314 00:18:48,880 --> 00:18:52,240 Speaker 1: a doctor, I'll have research whatever it is to death. 315 00:18:53,160 --> 00:18:55,959 Speaker 1: And one day and flinta, you know who this is. 316 00:18:56,200 --> 00:18:59,040 Speaker 1: So one day I call them and I started telling them, 317 00:18:59,080 --> 00:19:01,439 Speaker 1: you know, everything that I learned, and he's like, uh 318 00:19:01,520 --> 00:19:05,280 Speaker 1: huh uh uh huh um. He goes. Let me ask 319 00:19:05,280 --> 00:19:07,760 Speaker 1: you a question, if you have all the answers, do 320 00:19:07,800 --> 00:19:10,000 Speaker 1: you want to listen to doctor Google or do you 321 00:19:10,000 --> 00:19:13,080 Speaker 1: want to listen to your real doctor. I said, all right, touchet, 322 00:19:13,119 --> 00:19:15,800 Speaker 1: because if you start reading all of these things, you 323 00:19:15,880 --> 00:19:18,439 Speaker 1: begin to get crazy. Um. And I'm not. I'm not 324 00:19:18,480 --> 00:19:22,040 Speaker 1: a hypochondria in anyway. Thankfully, God bless anybody that's healthy. 325 00:19:22,200 --> 00:19:25,159 Speaker 1: We take health for granted, we really do. Um. The 326 00:19:25,280 --> 00:19:29,400 Speaker 1: mob and the media gallop. They are the biggest loser. 327 00:19:30,119 --> 00:19:33,679 Speaker 1: American people have been lied to for over three years. 328 00:19:34,320 --> 00:19:38,679 Speaker 1: It is the same cast of characters that lie. It 329 00:19:38,840 --> 00:19:42,280 Speaker 1: is the same cast of characters that hate and distort, 330 00:19:42,840 --> 00:19:46,879 Speaker 1: same cast of characters that slander and smear and besmirch 331 00:19:47,040 --> 00:19:52,679 Speaker 1: and advance a political agenda. President's appuber rating up sharply. Well, 332 00:19:52,760 --> 00:19:55,520 Speaker 1: maybe we shouldn't cover these press conferences. He's doing too well, 333 00:19:55,960 --> 00:19:59,280 Speaker 1: it looks too presidential. He's actually doing all of these things. 334 00:19:59,560 --> 00:20:01,600 Speaker 1: You know, that's why I'm watching Cuomo. We're going to 335 00:20:01,680 --> 00:20:03,199 Speaker 1: look back at this moment. Yeah, you know, we're going 336 00:20:03,240 --> 00:20:08,160 Speaker 1: to discover, Andrew Cuomo that you didn't prepare, that you 337 00:20:08,160 --> 00:20:12,000 Speaker 1: yourself in the state of New York. You wasted a 338 00:20:12,280 --> 00:20:17,560 Speaker 1: fortune along with your your partner in chief, Comrade de Blasio. 339 00:20:18,320 --> 00:20:22,240 Speaker 1: And we're going to see that this president has rewriting, 340 00:20:22,800 --> 00:20:26,720 Speaker 1: is rewriting the book right now. You should have known 341 00:20:27,080 --> 00:20:30,480 Speaker 1: Mayor Deblasio. You should have known Governor Cuomo in your 342 00:20:30,520 --> 00:20:34,760 Speaker 1: third term that New York after the first Trade Center bombing, 343 00:20:34,800 --> 00:20:37,840 Speaker 1: after nine to eleven, you should have known New York 344 00:20:37,880 --> 00:20:41,160 Speaker 1: as a target. Being a target that means you need 345 00:20:41,240 --> 00:20:45,680 Speaker 1: greater capability for people that might be injured in some 346 00:20:45,760 --> 00:20:51,800 Speaker 1: type of terrorist attack. You are beyond ill prepared for anything. 347 00:20:52,359 --> 00:20:55,120 Speaker 1: And the same with the city. I mean, there's no 348 00:20:55,240 --> 00:21:00,680 Speaker 1: excuse for your lack of preparedness, none whatsoever. And the 349 00:21:00,880 --> 00:21:02,800 Speaker 1: you know, then we go back and we start looking 350 00:21:02,840 --> 00:21:06,399 Speaker 1: at the moneys that you spent over the years. It 351 00:21:06,560 --> 00:21:09,760 Speaker 1: is unconscionable. Then you lie to the people in New York. 352 00:21:09,800 --> 00:21:12,760 Speaker 1: We're only getting three point five billion. We're being left behind. 353 00:21:12,840 --> 00:21:17,600 Speaker 1: Were well, Chuck Schumer even contradicts you. You're getting well 354 00:21:17,640 --> 00:21:21,800 Speaker 1: over forty billion dollars. Not only that, the President has 355 00:21:21,840 --> 00:21:25,200 Speaker 1: directed the federal government to get you all the help 356 00:21:25,280 --> 00:21:28,560 Speaker 1: that you need. We now know that the President approved 357 00:21:28,600 --> 00:21:32,159 Speaker 1: a major Disaster Declaration for New York that gave you 358 00:21:32,240 --> 00:21:36,840 Speaker 1: access to billions of dollars. You will have this coming Monday, 359 00:21:37,280 --> 00:21:41,000 Speaker 1: a US Navy hospital ship with a thousand beds in 360 00:21:41,160 --> 00:21:44,440 Speaker 1: New York Harbor. The President did that for you too. 361 00:21:44,800 --> 00:21:47,800 Speaker 1: The President now has ordered, and we have begun the 362 00:21:47,880 --> 00:21:51,800 Speaker 1: process of building, with the US Army Corps of Engineers, 363 00:21:52,119 --> 00:21:56,520 Speaker 1: the construction of four hospitals with four thousand beds and 364 00:21:56,760 --> 00:22:00,879 Speaker 1: converting the Javits Center into an additional hospital. At six 365 00:22:00,960 --> 00:22:03,359 Speaker 1: new hospitals, you're gonna have ready in a case of 366 00:22:03,400 --> 00:22:07,120 Speaker 1: a worst case scenario. You got four thousand Metta lators 367 00:22:07,119 --> 00:22:09,560 Speaker 1: this week, and you got more on the way. You 368 00:22:09,680 --> 00:22:12,560 Speaker 1: got hundreds of thousands of masks and gloves and other 369 00:22:12,640 --> 00:22:16,200 Speaker 1: medical gear that I can't believe you yourself didn't prepare 370 00:22:16,240 --> 00:22:18,439 Speaker 1: for because you got a lot of money for a 371 00:22:18,440 --> 00:22:21,600 Speaker 1: lot of other things, and you will get the money 372 00:22:21,680 --> 00:22:24,040 Speaker 1: needed to take care of the people in New York. 373 00:22:24,040 --> 00:22:26,880 Speaker 1: It's in the country's best interests to prevent New Yorkers 374 00:22:27,160 --> 00:22:30,000 Speaker 1: from getting other people sick. Ron de Santis in Florida 375 00:22:30,119 --> 00:22:31,600 Speaker 1: was right to say, if you're coming from New York, 376 00:22:31,640 --> 00:22:35,359 Speaker 1: you gotta quarantine yourself two weeks. Don't bring your disease here. 377 00:22:35,760 --> 00:22:37,600 Speaker 1: I'll tell you another thing that Florida ought to do. 378 00:22:37,720 --> 00:22:42,080 Speaker 1: They ought to have a test. Don't ring with New 379 00:22:42,200 --> 00:22:45,520 Speaker 1: York after you've ruined that city in that state. Don't 380 00:22:45,560 --> 00:22:49,520 Speaker 1: bring your liberal policies to our state and ruin this 381 00:22:49,600 --> 00:22:51,959 Speaker 1: state the way you ruin the state you just came from. 382 00:22:52,400 --> 00:22:54,240 Speaker 1: I mean, I look at the money that they wasted. 383 00:22:54,240 --> 00:22:56,920 Speaker 1: They have one hundred and seventy billion dollars New York 384 00:22:57,000 --> 00:23:00,560 Speaker 1: State spent last year alone, what another ninety billion in 385 00:23:00,560 --> 00:23:03,639 Speaker 1: New York City. It's insane amounts of money. You know, 386 00:23:03,680 --> 00:23:06,960 Speaker 1: when you wasted seven hundred and fifty million dollars, Governor 387 00:23:07,000 --> 00:23:09,919 Speaker 1: on a solar panel factory that you had to close 388 00:23:10,000 --> 00:23:13,840 Speaker 1: down because it failed. How many gowns, how many masks, 389 00:23:13,840 --> 00:23:17,280 Speaker 1: how many respirators, how many ventilators could you have purchased? 390 00:23:17,880 --> 00:23:21,800 Speaker 1: Or your ninety million dollar debacle with a partnership and 391 00:23:21,880 --> 00:23:25,639 Speaker 1: a light bulb company, or the six hundred million you 392 00:23:25,760 --> 00:23:28,760 Speaker 1: wasted on a computer chip factory, or the fact that 393 00:23:28,800 --> 00:23:31,399 Speaker 1: you were warned in twenty fifteen you are the governor 394 00:23:31,440 --> 00:23:34,159 Speaker 1: then that you needed more ventilators, but you got a 395 00:23:34,240 --> 00:23:37,880 Speaker 1: task force together to determine what how the state's two 396 00:23:37,920 --> 00:23:41,760 Speaker 1: thousand ventilators already on hand should be ration. By the way, 397 00:23:42,080 --> 00:23:44,000 Speaker 1: you know, it's not a matter of just having ventilators. 398 00:23:44,000 --> 00:23:47,000 Speaker 1: You need people that now how to operate them. I mean, 399 00:23:47,000 --> 00:23:51,200 Speaker 1: it's unbelievable anyway. Confidence in the president is way up gallup. 400 00:23:51,800 --> 00:23:54,480 Speaker 1: The biggest the biggest failure in this is the mob 401 00:23:54,520 --> 00:23:59,160 Speaker 1: in the media. By the way, Joe Biden. Everybody's freaked 402 00:23:59,160 --> 00:24:01,439 Speaker 1: out about Joe by every Democrat I know is like, 403 00:24:01,520 --> 00:24:07,480 Speaker 1: what the hell is going on? I mean, four yesterday debacles. 404 00:24:07,520 --> 00:24:10,720 Speaker 1: You know, we hold these truths et et etcetera. I 405 00:24:10,760 --> 00:24:12,960 Speaker 1: guess it's better than we hold these truths. To me, 406 00:24:13,000 --> 00:24:15,200 Speaker 1: he's evident that all men and women are created equal 407 00:24:15,200 --> 00:24:20,640 Speaker 1: and downy by the thing, you know, the thing, it's 408 00:24:20,640 --> 00:24:23,800 Speaker 1: a disaster. Then the five other gaps yesterday. Now they're 409 00:24:23,800 --> 00:24:26,560 Speaker 1: trying to stop the gaps by stopping the live streaming 410 00:24:26,840 --> 00:24:29,000 Speaker 1: that they can't even get on the air half the time. 411 00:24:29,400 --> 00:24:33,119 Speaker 1: Now he's got a sexual assault charge against him. Democrats 412 00:24:33,160 --> 00:24:36,040 Speaker 1: now have hit the panic button as Biden now had 413 00:24:36,080 --> 00:24:38,879 Speaker 1: to drop off the radar screen because he can't talk 414 00:24:39,680 --> 00:24:43,280 Speaker 1: and coherently and give anybody any confidence of anything. I'll 415 00:24:43,320 --> 00:24:44,960 Speaker 1: say one last thing and we'll get to our guests. 416 00:24:46,720 --> 00:24:51,480 Speaker 1: It is relevant that they wouldn't. You're it's hysteria, xenophobia, 417 00:24:51,640 --> 00:24:55,560 Speaker 1: and it's fearmongering. The travel ban, No, that saved thousands 418 00:24:55,560 --> 00:24:59,040 Speaker 1: and thousands and thousands of Americans from contracting the virus 419 00:24:59,600 --> 00:25:04,640 Speaker 1: and exponentially thousands from dying, and it bought us needed 420 00:25:04,800 --> 00:25:09,760 Speaker 1: time to prepare. And you on that day or against it, 421 00:25:09,800 --> 00:25:16,720 Speaker 1: and you're still against it. Pretty dumb on your part anyway. Oh, 422 00:25:16,760 --> 00:25:19,240 Speaker 1: now there is the other side of this. There's the 423 00:25:19,280 --> 00:25:22,040 Speaker 1: Mike Lindell's, there's the GM. I won't mention all the companies. 424 00:25:22,160 --> 00:25:25,760 Speaker 1: I'll scroll it again on TV tonight. He now is 425 00:25:25,800 --> 00:25:30,640 Speaker 1: working to make masks using his my pillow dot com facilities. 426 00:25:30,680 --> 00:25:33,920 Speaker 1: Tyler Meritus also with us, founder of nine Line Apparel. 427 00:25:35,080 --> 00:25:37,399 Speaker 1: Just two companies, and I just wanted to give a 428 00:25:37,440 --> 00:25:40,840 Speaker 1: tip of the hat to both of them. Thank you both. Mike, 429 00:25:40,920 --> 00:25:44,240 Speaker 1: tell us what you're doing in your factories in Minnesota. 430 00:25:44,520 --> 00:25:48,760 Speaker 1: I've completely turned over one two hundred thousand square foot facility. 431 00:25:48,800 --> 00:25:52,280 Speaker 1: I've got everybody working. We're up to about ten thousand 432 00:25:52,320 --> 00:25:54,040 Speaker 1: masks a day. I want to get up to fifty 433 00:25:54,080 --> 00:25:57,119 Speaker 1: thou as many weeks as we can produce. Sean, I 434 00:25:57,119 --> 00:26:00,200 Speaker 1: want to quickly say something that might identify Ken. I 435 00:26:00,320 --> 00:26:04,040 Speaker 1: reached out to the President. Let him notice what we're hearing. 436 00:26:04,400 --> 00:26:08,400 Speaker 1: What we are hearing is with his approval ratings, with 437 00:26:08,440 --> 00:26:11,560 Speaker 1: the fake news out there. These are people down the left. 438 00:26:11,600 --> 00:26:13,600 Speaker 1: I got a text from a friend of mine. I'm 439 00:26:13,600 --> 00:26:15,920 Speaker 1: sure you know. I'm not a huge President Trump fan, 440 00:26:16,200 --> 00:26:19,280 Speaker 1: but God bless him, he's handling this crisis like a champ. 441 00:26:19,520 --> 00:26:22,440 Speaker 1: I think he's winning me over. That's what's happening out 442 00:26:22,440 --> 00:26:25,120 Speaker 1: there because people are seeing it for themselves, the great 443 00:26:25,200 --> 00:26:27,440 Speaker 1: job he's doing, and the great things that we're doing 444 00:26:27,480 --> 00:26:30,440 Speaker 1: in the in the private sector as manufacturers, and we're 445 00:26:30,440 --> 00:26:33,760 Speaker 1: getting around all the CNN's and MSNBC's and all this 446 00:26:34,160 --> 00:26:39,639 Speaker 1: fake news. So I'm glad you haven't the update from Cuomo. 447 00:26:40,080 --> 00:26:42,760 Speaker 1: I didn't even pick this up today He responded to 448 00:26:42,800 --> 00:26:45,720 Speaker 1: a comment from the President in my interview last night 449 00:26:46,080 --> 00:26:48,960 Speaker 1: about the thousands of ventilators not being used. This is 450 00:26:48,960 --> 00:26:53,920 Speaker 1: his answer. Yeah, they're in stockpile, a stockpile. That's where 451 00:26:53,920 --> 00:26:56,359 Speaker 1: they're supposed to be because we don't need them yet 452 00:26:56,960 --> 00:26:59,480 Speaker 1: we need them for the apex. The apex is in here. 453 00:27:00,040 --> 00:27:03,480 Speaker 1: They mailed them four thousand more today. These people piss 454 00:27:03,560 --> 00:27:07,359 Speaker 1: me off. Tyler Merrit tell us about nine line. You 455 00:27:07,400 --> 00:27:09,560 Speaker 1: guys are up there. From what I understand, you guys 456 00:27:09,560 --> 00:27:14,200 Speaker 1: have an innovative mass creation and this tell us about them. Yea, 457 00:27:14,160 --> 00:27:15,920 Speaker 1: if you have two different masks that you need to create, 458 00:27:15,960 --> 00:27:19,040 Speaker 1: one of the containment masks is that surgical mask variant 459 00:27:19,040 --> 00:27:21,080 Speaker 1: that's not approved by the FDA, because that will take 460 00:27:21,119 --> 00:27:25,480 Speaker 1: upwards forever with our crent breocracy. So the idea is 461 00:27:25,560 --> 00:27:27,840 Speaker 1: you want to protect our doctors and nurses. You know, 462 00:27:27,880 --> 00:27:29,840 Speaker 1: my mom is a nurse right now fighting on the 463 00:27:29,880 --> 00:27:32,359 Speaker 1: front lines because all of her nurses are getting sick. 464 00:27:32,680 --> 00:27:35,000 Speaker 1: So when they walk into an environment that is full 465 00:27:35,480 --> 00:27:38,840 Speaker 1: of this virus, they need those individuals to try to 466 00:27:38,880 --> 00:27:41,280 Speaker 1: contain as much as they can from going out into 467 00:27:41,320 --> 00:27:44,480 Speaker 1: the air. So it's literally just a shirt that is 468 00:27:44,480 --> 00:27:47,639 Speaker 1: cut very specifically, and we can go upwards of one 469 00:27:47,760 --> 00:27:50,840 Speaker 1: hundred million of these by next week. So far, we've 470 00:27:50,960 --> 00:27:54,520 Speaker 1: received over fifty thousand online orders that we've gotten out 471 00:27:54,520 --> 00:27:57,439 Speaker 1: the door, and we have converted to our two hundred 472 00:27:57,560 --> 00:28:00,639 Speaker 1: employees to be ready to ramp up. We think we 473 00:28:00,640 --> 00:28:02,720 Speaker 1: can get to about one point five million per day 474 00:28:03,160 --> 00:28:07,000 Speaker 1: in the next week or so. But I'm to prevent 475 00:28:07,280 --> 00:28:12,280 Speaker 1: the trans transmission of this. There is a chemical additive 476 00:28:12,320 --> 00:28:14,520 Speaker 1: that is being introduced to them and being tested that 477 00:28:14,560 --> 00:28:20,560 Speaker 1: will help again with that being able to contract, but 478 00:28:20,680 --> 00:28:22,760 Speaker 1: that that is more of a preventative math that that 479 00:28:23,080 --> 00:28:26,520 Speaker 1: n ninety five variants that everyone is looking to create. 480 00:28:26,560 --> 00:28:29,800 Speaker 1: And we have a bunch of very smart engineers and 481 00:28:29,960 --> 00:28:33,200 Speaker 1: very smart scientists all working together, actually working with doctor Pete, 482 00:28:33,200 --> 00:28:36,200 Speaker 1: who I'm sure you know who that is, and we 483 00:28:36,280 --> 00:28:39,800 Speaker 1: are trying to come to that solution that meets an 484 00:28:39,840 --> 00:28:42,680 Speaker 1: ability to scale, to get two hundreds of millions of 485 00:28:42,680 --> 00:28:45,680 Speaker 1: these out the door and get them tested. And it's 486 00:28:45,720 --> 00:28:50,400 Speaker 1: two different barriers, but we've handed over all the manufacturing overseas. 487 00:28:50,400 --> 00:28:55,280 Speaker 1: Are manufacturing capabilities here for things like this are are nowhere, 488 00:28:55,320 --> 00:28:56,920 Speaker 1: and I think people are starting to realize that you 489 00:28:56,960 --> 00:29:01,560 Speaker 1: can't outsource something like Ppe. It's because something that is 490 00:29:01,640 --> 00:29:04,360 Speaker 1: very important for not only our first responders and hospitals, 491 00:29:04,880 --> 00:29:07,400 Speaker 1: you know, our doctors and nurses, but our first responders 492 00:29:07,440 --> 00:29:09,440 Speaker 1: who are trying to manage the chaos. And by the way, 493 00:29:09,600 --> 00:29:12,040 Speaker 1: you and you guys still listen, I love my pillow 494 00:29:12,080 --> 00:29:14,480 Speaker 1: products nine line. You guys have the best shirts out there, 495 00:29:14,520 --> 00:29:16,440 Speaker 1: the best people working. You guys want to keep your 496 00:29:16,440 --> 00:29:18,800 Speaker 1: workers working. And by the way, you know I love 497 00:29:18,840 --> 00:29:21,320 Speaker 1: both of your products. I hope people will consider ordering them, 498 00:29:21,320 --> 00:29:24,680 Speaker 1: will put them prominently on Hannity dot com, considering you're 499 00:29:24,720 --> 00:29:26,880 Speaker 1: stepping up to help your country in the interim. But 500 00:29:27,240 --> 00:29:29,120 Speaker 1: you guys got to keep the doors open too, right. 501 00:29:29,800 --> 00:29:33,640 Speaker 1: That's getting increasingly absolutely these these new regulations, for the 502 00:29:33,920 --> 00:29:36,720 Speaker 1: laws that are introduced without talking to business people. You know, 503 00:29:36,760 --> 00:29:39,920 Speaker 1: these laws are going to stretch me beyond anything I 504 00:29:39,960 --> 00:29:42,200 Speaker 1: could have ever imagined. And I want to take care 505 00:29:42,240 --> 00:29:44,880 Speaker 1: of my workers just like everyone else does. But you 506 00:29:44,920 --> 00:29:49,040 Speaker 1: can't add that type of economic strain onto small businesses. 507 00:29:49,040 --> 00:29:51,640 Speaker 1: You'll make them collapse. And no one is working together 508 00:29:52,120 --> 00:29:55,360 Speaker 1: with business owners, all right, and say, real quickly, help you. 509 00:29:55,840 --> 00:29:59,280 Speaker 1: How can people get look at some of the products 510 00:29:59,280 --> 00:30:03,080 Speaker 1: you're creating and also keep you in business. I literally 511 00:30:03,080 --> 00:30:06,040 Speaker 1: I'm buying food from every restaurant around my house that 512 00:30:06,120 --> 00:30:08,240 Speaker 1: I know, just just to help a little bit. I 513 00:30:08,280 --> 00:30:10,600 Speaker 1: know it's not much, I try and I hope others 514 00:30:10,600 --> 00:30:16,840 Speaker 1: will do it too. Uh my pillow dot com Mike Lindow, Right, Yeah, yeah, absolutely, 515 00:30:16,880 --> 00:30:18,800 Speaker 1: you can get it. You can find everything there and 516 00:30:18,800 --> 00:30:23,400 Speaker 1: we're we're people buy masks also or no, no, they 517 00:30:23,480 --> 00:30:26,240 Speaker 1: could right now we're doing to their healthcare professionals in 518 00:30:26,320 --> 00:30:28,760 Speaker 1: the hospitals, but they have no problem if they want 519 00:30:28,800 --> 00:30:32,640 Speaker 1: to reach out to reach out to mL my pillow 520 00:30:32,720 --> 00:30:37,120 Speaker 1: dot com with any recrush for any any organizations maybe um, 521 00:30:37,560 --> 00:30:40,440 Speaker 1: nursing homes, whatever. We're trying to fill everything we can. 522 00:30:40,880 --> 00:30:44,400 Speaker 1: And what about you Thailand you can get Yeah, individuals 523 00:30:44,400 --> 00:30:46,560 Speaker 1: can order from our website. Just keep in mind everything 524 00:30:46,600 --> 00:30:48,600 Speaker 1: that we send out, we send it out at costs. 525 00:30:48,600 --> 00:30:50,160 Speaker 1: If they cost me fifty cents, I sent it out 526 00:30:50,160 --> 00:30:52,600 Speaker 1: at fifty cents. And we do big bulk supplies to 527 00:30:53,400 --> 00:30:56,440 Speaker 1: not only hospitals, but also to military organizations to the least, 528 00:30:56,440 --> 00:30:58,800 Speaker 1: and we're helping with the government contracting to keep this 529 00:30:58,880 --> 00:31:01,640 Speaker 1: price gouging down. So whatever it costs me. We've voud 530 00:31:01,680 --> 00:31:03,240 Speaker 1: to get it out the door for that exact cost, 531 00:31:03,280 --> 00:31:05,880 Speaker 1: because there's individuals and organizations out there that are working 532 00:31:06,000 --> 00:31:09,040 Speaker 1: seven dollars a mask and that's ridiculous. We see the 533 00:31:09,040 --> 00:31:11,600 Speaker 1: best in people and the worst in people. You two 534 00:31:11,640 --> 00:31:14,840 Speaker 1: are the best in America. Thank you both. Amazing people. 535 00:31:15,240 --> 00:31:17,560 Speaker 1: All right our tow Sean Hannity Show. We expect the 536 00:31:17,600 --> 00:31:22,040 Speaker 1: President will be signing this relief package that Wells should 537 00:31:22,040 --> 00:31:24,920 Speaker 1: have been signed last week, but that needed money. Then 538 00:31:24,960 --> 00:31:29,560 Speaker 1: we'll be going out to the hospitals and to displaced 539 00:31:29,560 --> 00:31:34,800 Speaker 1: workers and small businesses and large businesses needed relief that 540 00:31:34,960 --> 00:31:39,240 Speaker 1: they deserve at a time like this. So we expect 541 00:31:39,320 --> 00:31:43,760 Speaker 1: that to happen now. While all of this goes on politically, 542 00:31:43,800 --> 00:31:47,840 Speaker 1: and moneys are being allocated in a social allocated to 543 00:31:47,880 --> 00:31:51,360 Speaker 1: the proper places, a lot of things are happening medically. 544 00:31:52,000 --> 00:31:54,400 Speaker 1: Number one, We've never broken down the sequence of a 545 00:31:54,520 --> 00:31:57,880 Speaker 1: virus as quickly as we have this coronavirus. It took 546 00:31:57,960 --> 00:32:01,719 Speaker 1: them about six weeks. In the past, it was years 547 00:32:02,480 --> 00:32:04,960 Speaker 1: before they be able to do that. What does that mean, Well, 548 00:32:05,000 --> 00:32:08,160 Speaker 1: that puts them on a path. Now we're literally in 549 00:32:08,240 --> 00:32:12,760 Speaker 1: phase one trials in the beginning process for a vaccine 550 00:32:13,480 --> 00:32:18,840 Speaker 1: that will save lives in the interim, probably the guy 551 00:32:18,920 --> 00:32:21,200 Speaker 1: that has been working the hardest. And I know this 552 00:32:21,320 --> 00:32:24,000 Speaker 1: for a fact. I've gotten to know doctor Oz and 553 00:32:24,080 --> 00:32:26,240 Speaker 1: I can tell you this, I don't care if it's 554 00:32:26,280 --> 00:32:29,520 Speaker 1: three in the morning, four in the morning, two in 555 00:32:29,560 --> 00:32:32,320 Speaker 1: the afternoon, even if he's in the middle of taping 556 00:32:32,360 --> 00:32:36,280 Speaker 1: his show. In a break, he answers everybody's texts, and 557 00:32:36,360 --> 00:32:39,920 Speaker 1: what he has been doing behind the scenes is looking 558 00:32:39,960 --> 00:32:44,280 Speaker 1: for ways that we can treat people that can tract corona. 559 00:32:44,560 --> 00:32:47,120 Speaker 1: Not those that have no symptoms, not those that have 560 00:32:47,240 --> 00:32:49,880 Speaker 1: mild symptoms, not those that just have a full on 561 00:32:49,960 --> 00:32:54,000 Speaker 1: flu but don't need hospitalization, but those that are at 562 00:32:54,040 --> 00:32:57,760 Speaker 1: the highest risk of succumbing to those virus and dying. 563 00:32:58,600 --> 00:33:02,080 Speaker 1: And he has interviewed and he's spoken with doctors not 564 00:33:02,120 --> 00:33:04,760 Speaker 1: only all over this country, but all over the world, 565 00:33:05,240 --> 00:33:09,520 Speaker 1: and he is getting a lot of anecdotal data as 566 00:33:09,560 --> 00:33:13,320 Speaker 1: it relates to a couple of things. Hydroxychloroquin along with 567 00:33:13,520 --> 00:33:17,880 Speaker 1: a cisterromyathin which looks very promising and of saving lives, 568 00:33:18,200 --> 00:33:22,239 Speaker 1: and also a process known as convalescent plasma. But I 569 00:33:22,280 --> 00:33:25,480 Speaker 1: will tell you I am beyond impressed at the level 570 00:33:25,760 --> 00:33:31,760 Speaker 1: of rigor and commitment and passion that he's putting into 571 00:33:32,040 --> 00:33:36,520 Speaker 1: helping people that may otherwise not make it. And doctor Oz, 572 00:33:36,600 --> 00:33:38,479 Speaker 1: I know you're busy. I know you're always working, and 573 00:33:38,520 --> 00:33:41,200 Speaker 1: you've been so generous with your time. Welcome back to 574 00:33:41,240 --> 00:33:44,200 Speaker 1: the program. You're very kind. You know. Interesting. As you 575 00:33:44,200 --> 00:33:46,560 Speaker 1: were playing that open which of course is energizing to 576 00:33:46,680 --> 00:33:51,600 Speaker 1: most of us, you got an email from my medical 577 00:33:51,680 --> 00:33:55,680 Speaker 1: unit director who's pulling data on safety profile because obviously 578 00:33:55,680 --> 00:33:57,480 Speaker 1: we don't want to have anybody hurt. And it turns 579 00:33:57,480 --> 00:33:59,200 Speaker 1: out these two drugs we've been talking about that the 580 00:33:59,240 --> 00:34:03,600 Speaker 1: French doctor did research on again as you mentioned anecdotal, 581 00:34:03,640 --> 00:34:06,880 Speaker 1: but it was twenty patients, but actually it was thirty 582 00:34:06,880 --> 00:34:09,640 Speaker 1: six patients, but they were broken down in different groups. 583 00:34:09,719 --> 00:34:12,600 Speaker 1: And it turns out those two medications together as the 584 00:34:12,680 --> 00:34:16,759 Speaker 1: throw Meisin and the Clarquin, had been studied by the 585 00:34:16,760 --> 00:34:19,600 Speaker 1: companies that make them, and they're used sometimes together in 586 00:34:19,640 --> 00:34:22,360 Speaker 1: Africa and they don't seem to have an increased risk profile, 587 00:34:22,400 --> 00:34:23,840 Speaker 1: which is good because that was the one thing in 588 00:34:23,840 --> 00:34:25,960 Speaker 1: the back of my mind is when you put two 589 00:34:26,000 --> 00:34:28,440 Speaker 1: drugs together, you can't trust to the safety of either one. 590 00:34:28,520 --> 00:34:30,480 Speaker 1: So that's good news. And the other bit of good 591 00:34:30,520 --> 00:34:31,840 Speaker 1: news I was going to share with you as I 592 00:34:31,840 --> 00:34:34,280 Speaker 1: got a email a few minutes ago from that French 593 00:34:34,320 --> 00:34:38,000 Speaker 1: doctor did the volt and rhold says that they're going 594 00:34:38,080 --> 00:34:40,719 Speaker 1: to publish in a few hours the clinical outcomes of 595 00:34:40,760 --> 00:34:43,160 Speaker 1: their data. So the same study that showed that there 596 00:34:43,200 --> 00:34:46,600 Speaker 1: was a reduction in virus amount coming out of people's noses, 597 00:34:46,800 --> 00:34:48,400 Speaker 1: is that now he's going to share with us what 598 00:34:48,440 --> 00:34:50,600 Speaker 1: the clinical out comes where and I'll know that by tomorrow. 599 00:34:51,280 --> 00:34:54,080 Speaker 1: I just found out today and I thought it was 600 00:34:54,120 --> 00:34:58,600 Speaker 1: amazing that Israel had offered the United States six million 601 00:34:59,120 --> 00:35:03,200 Speaker 1: tablets of I drop say chloroquinn, and they have arrived, 602 00:35:03,440 --> 00:35:06,240 Speaker 1: and now they have committed to donate another four million 603 00:35:06,320 --> 00:35:10,439 Speaker 1: doses of this, so that ten million in total. There's 604 00:35:10,480 --> 00:35:13,880 Speaker 1: a clinical trial that began this past Tuesday in New York. 605 00:35:15,080 --> 00:35:18,520 Speaker 1: But more anecdotally, I've been watching your shows. It's much 606 00:35:19,160 --> 00:35:21,239 Speaker 1: must see TV right now. You have to see it. 607 00:35:21,600 --> 00:35:25,439 Speaker 1: And you've interviewed patients that have recovered, patients that were 608 00:35:25,440 --> 00:35:28,200 Speaker 1: on the verge of death that doctors have said there's 609 00:35:28,239 --> 00:35:31,000 Speaker 1: nothing more we can do. And then you've interviewed the 610 00:35:31,040 --> 00:35:33,920 Speaker 1: doctors that have been using this off label. It's been 611 00:35:33,920 --> 00:35:38,200 Speaker 1: around since nineteen forty five. Tell us what you've found. Well, again, 612 00:35:38,480 --> 00:35:40,960 Speaker 1: it's people do with their personal experience. But at a 613 00:35:40,960 --> 00:35:43,280 Speaker 1: certain point you become like the magnet and all the 614 00:35:43,320 --> 00:35:45,160 Speaker 1: needles come to you instead of you having to search 615 00:35:45,160 --> 00:35:47,040 Speaker 1: for the needles in the haystack. And so a lot 616 00:35:47,080 --> 00:35:50,360 Speaker 1: of clinicians are emailing me the show you're probably getting 617 00:35:50,360 --> 00:35:53,200 Speaker 1: something as well, saying I tried this in nine patients 618 00:35:53,239 --> 00:35:55,680 Speaker 1: and they seem to get better. Doctors are very circumstack. 619 00:35:55,719 --> 00:35:57,360 Speaker 1: We don't like to go out on a limb, especially 620 00:35:57,400 --> 00:35:59,120 Speaker 1: when we know there's no control groups. So we don't 621 00:35:59,160 --> 00:36:00,800 Speaker 1: know how it would have worked out if he hadn't 622 00:36:00,840 --> 00:36:05,600 Speaker 1: treated them. But certainly folks seem to me, they seem happy. 623 00:36:05,640 --> 00:36:07,799 Speaker 1: They are happy. I wish I could add them all 624 00:36:07,800 --> 00:36:09,520 Speaker 1: together and make a real clinical trial out of it, 625 00:36:09,560 --> 00:36:12,520 Speaker 1: but thankfully the government has given New York's state enough 626 00:36:12,560 --> 00:36:15,839 Speaker 1: pills we can do the trial here. But I think 627 00:36:17,320 --> 00:36:18,919 Speaker 1: when you know, when you when you go to war, 628 00:36:18,960 --> 00:36:21,320 Speaker 1: you march with the army you're given. That's what governor 629 00:36:21,320 --> 00:36:22,680 Speaker 1: call You're said when I ask him, because he's a 630 00:36:22,760 --> 00:36:25,360 Speaker 1: doctor as well as you know, and he was practicing 631 00:36:26,239 --> 00:36:28,520 Speaker 1: medicine and got stuck with the same scenario that many 632 00:36:28,520 --> 00:36:31,480 Speaker 1: doctors are facing, older patients coming in higher risk pasis, 633 00:36:31,800 --> 00:36:34,520 Speaker 1: and he would dose with both. And he says, in 634 00:36:34,600 --> 00:36:37,200 Speaker 1: his opinion there's been a benefit, but he's going to 635 00:36:37,360 --> 00:36:39,799 Speaker 1: actually have bigger, a real data set that he's gonna 636 00:36:39,800 --> 00:36:42,080 Speaker 1: share with us next week. All of this is interesting 637 00:36:42,120 --> 00:36:45,200 Speaker 1: because you have a lot of people respecting the reality 638 00:36:45,400 --> 00:36:47,839 Speaker 1: of the limitations of the knowledge we have, but still 639 00:36:47,840 --> 00:36:49,920 Speaker 1: making decisions. And that's what leaders have to do right 640 00:36:49,920 --> 00:36:51,480 Speaker 1: in the absence of clear data, because if there was 641 00:36:51,520 --> 00:36:53,400 Speaker 1: clear data, there's no you know, you know, it's not 642 00:36:53,440 --> 00:36:55,439 Speaker 1: a big deal to do it. But without big data, 643 00:36:55,480 --> 00:36:57,680 Speaker 1: you've got to be thoughtful and careful and then make 644 00:36:57,719 --> 00:36:59,920 Speaker 1: a decision, a brave decision about whether you're going to 645 00:37:00,000 --> 00:37:02,239 Speaker 1: treat a patient or not. And that's where that's where 646 00:37:02,239 --> 00:37:04,279 Speaker 1: we're going to be for at least another week. I'm 647 00:37:04,280 --> 00:37:07,400 Speaker 1: a little concerned because, for example, in New York State, 648 00:37:07,840 --> 00:37:10,160 Speaker 1: while they've got a clinical trial going on, and I 649 00:37:10,239 --> 00:37:13,759 Speaker 1: know that the federal government provided them all the hydroxy 650 00:37:13,840 --> 00:37:18,479 Speaker 1: chloroquin that they need, the governor issued an executive order 651 00:37:18,600 --> 00:37:22,200 Speaker 1: saying that anybody else that would like to use hydroxy 652 00:37:22,280 --> 00:37:26,640 Speaker 1: chloroquin off label is not able to do so, and 653 00:37:26,840 --> 00:37:29,520 Speaker 1: to me, I don't know if that's to force people 654 00:37:29,560 --> 00:37:33,080 Speaker 1: into the trial or it almost sounds like, what does 655 00:37:33,080 --> 00:37:35,400 Speaker 1: he want to hoard all of it for his clinical 656 00:37:35,440 --> 00:37:37,960 Speaker 1: study because there's no need with the arrival of six 657 00:37:38,000 --> 00:37:42,040 Speaker 1: million doses, right. I suspect what happened is there was 658 00:37:42,080 --> 00:37:45,279 Speaker 1: a lot of concern among patient advocacy groups, people who 659 00:37:45,280 --> 00:37:48,880 Speaker 1: have rumatoiathritis and lupus, saying hey, listen, we're dependent on 660 00:37:48,920 --> 00:37:51,399 Speaker 1: this drug. All these people who think they might might 661 00:37:51,520 --> 00:37:53,520 Speaker 1: one day get COVID nineteen are going to buy it, 662 00:37:54,000 --> 00:37:56,120 Speaker 1: store it so just in case they'll have it, and 663 00:37:56,160 --> 00:37:58,680 Speaker 1: that hoarding would make it impossible for people who desperately 664 00:37:58,760 --> 00:38:01,040 Speaker 1: needed treatment to get it. There's not there's no other reason, 665 00:38:01,080 --> 00:38:04,080 Speaker 1: because there's enough drug for the clinical trial. I actually 666 00:38:04,120 --> 00:38:06,600 Speaker 1: bought a bunch of it for the clinical trial Columbia, 667 00:38:06,840 --> 00:38:08,440 Speaker 1: just sitting in a you know, in the pharmacy there 668 00:38:08,440 --> 00:38:11,319 Speaker 1: as he gets suspensed. So I don't I don't think 669 00:38:11,320 --> 00:38:12,960 Speaker 1: there's a good reason. But to the government, Devata did 670 00:38:13,000 --> 00:38:16,240 Speaker 1: the same thing and he's not doing a clinical trial again, 671 00:38:16,880 --> 00:38:20,440 Speaker 1: influenced by folks are concerned I completely respect why that is. 672 00:38:20,920 --> 00:38:24,200 Speaker 1: And I've said this again and again on my show 673 00:38:24,200 --> 00:38:27,200 Speaker 1: and I'll out repeat it. It's your patriotic duty not 674 00:38:27,280 --> 00:38:30,120 Speaker 1: to hoard I agree with that. Not to take masks, 675 00:38:30,320 --> 00:38:32,960 Speaker 1: you can't do that. But if I could find a way, 676 00:38:33,120 --> 00:38:35,040 Speaker 1: and I've actually looked for a way, to be honest, 677 00:38:35,640 --> 00:38:40,800 Speaker 1: uh to if there's any any country, like, for example, Israel. 678 00:38:41,000 --> 00:38:43,279 Speaker 1: A lot of drugs that we purchase are made by 679 00:38:43,280 --> 00:38:47,160 Speaker 1: a company called Teva. Teva, and they're the ones that 680 00:38:47,239 --> 00:38:49,800 Speaker 1: donated the six million doses that I've already arrived, and 681 00:38:49,800 --> 00:38:53,319 Speaker 1: they're they're giving four million more doses. Um, I would 682 00:38:53,360 --> 00:38:55,279 Speaker 1: do it just to give it to you, to give 683 00:38:55,320 --> 00:38:59,160 Speaker 1: to people that you think needed. I'd chip in. I'll 684 00:38:59,160 --> 00:39:01,400 Speaker 1: do it with you, and we'll get We have to 685 00:39:01,440 --> 00:39:03,120 Speaker 1: have a pharmacy because there's got to be a prescription 686 00:39:03,160 --> 00:39:05,360 Speaker 1: and for everyone listening to get Your doctor's got to 687 00:39:05,360 --> 00:39:07,120 Speaker 1: tell you to do this because you may have medical 688 00:39:07,120 --> 00:39:09,719 Speaker 1: issues that would make us not want to give it 689 00:39:09,760 --> 00:39:12,040 Speaker 1: to you. But generally speaking, we should not in America 690 00:39:12,040 --> 00:39:14,759 Speaker 1: have you worrying about shortages of pills. That's that's the 691 00:39:14,800 --> 00:39:16,080 Speaker 1: part of the puzzle. We should be able to deal 692 00:39:16,120 --> 00:39:17,880 Speaker 1: and that drives me nuts too. You and I are 693 00:39:17,880 --> 00:39:21,239 Speaker 1: on the same page, all right, So has there been 694 00:39:21,320 --> 00:39:26,800 Speaker 1: any example where you're concerned when it has been used 695 00:39:26,800 --> 00:39:29,879 Speaker 1: and applied. It's been around since nineteen forty five from 696 00:39:29,880 --> 00:39:33,720 Speaker 1: what I've read. Correct me, you're the doctor. If I'm wrong, 697 00:39:34,200 --> 00:39:37,919 Speaker 1: they're really at the dose level we're talking about. Under 698 00:39:37,960 --> 00:39:42,040 Speaker 1: the circumstances we're talking about, you have to it's not 699 00:39:42,080 --> 00:39:44,640 Speaker 1: going to bring it to the blindness potential side effect, 700 00:39:44,640 --> 00:39:48,960 Speaker 1: which is as I understand it, and higher doses. You 701 00:39:49,040 --> 00:39:51,759 Speaker 1: got to watch people that have heart conditions. What have 702 00:39:51,800 --> 00:39:54,600 Speaker 1: you seen anything go wrong? And have you seen more 703 00:39:54,640 --> 00:39:58,960 Speaker 1: cases where as anybody died even after they've tried this. No, 704 00:39:59,000 --> 00:40:01,839 Speaker 1: you know, we're aware. And again they might not tell 705 00:40:01,880 --> 00:40:05,200 Speaker 1: me that, but so far in the people you know, folks, 706 00:40:05,200 --> 00:40:07,799 Speaker 1: they've been using it on that they can't if there's 707 00:40:07,800 --> 00:40:09,960 Speaker 1: been a complication, they haven't blamed it on the medications. 708 00:40:10,200 --> 00:40:12,480 Speaker 1: The drug itself is pretty safe, as pretty old as 709 00:40:12,480 --> 00:40:15,759 Speaker 1: you mentioned, uh you know, sixty seventy years old. It's 710 00:40:15,880 --> 00:40:19,400 Speaker 1: it's an interesting drug to use because it's it's used chronically. Right, 711 00:40:19,400 --> 00:40:21,080 Speaker 1: people go to Africa, they'll take it for a month 712 00:40:21,440 --> 00:40:25,680 Speaker 1: or longer, so it has a pretty healthy safety profile. 713 00:40:26,360 --> 00:40:28,480 Speaker 1: I'm not that's not the problem. I think the bigger 714 00:40:28,520 --> 00:40:31,600 Speaker 1: concern that doctor Fauci and other leaders in the medical 715 00:40:31,600 --> 00:40:33,359 Speaker 1: community have is is you don't want to get people 716 00:40:33,400 --> 00:40:34,960 Speaker 1: false hope. You don't want to say this drugs can 717 00:40:35,080 --> 00:40:38,080 Speaker 1: cure your problem. You can get sloppy on yourself. Uh, 718 00:40:38,239 --> 00:40:40,520 Speaker 1: distancing and the quarantining. It won't be such a big 719 00:40:40,560 --> 00:40:42,359 Speaker 1: deal because you got this drug to save you if 720 00:40:42,360 --> 00:40:44,279 Speaker 1: you fall, and we don't. We don't know that. We 721 00:40:44,320 --> 00:40:45,800 Speaker 1: don't know how big a difference it's going to make. It. 722 00:40:46,080 --> 00:40:48,720 Speaker 1: We will figure it out and when when this virus 723 00:40:48,719 --> 00:40:51,279 Speaker 1: comes back in the fall, because it will, we're going 724 00:40:51,320 --> 00:40:54,120 Speaker 1: to be ready for it. Armed. You know, lockdow Loading, 725 00:40:54,719 --> 00:40:58,400 Speaker 1: what will you make of convalescent plasma um. I know 726 00:40:58,440 --> 00:41:00,680 Speaker 1: you've discussed it on your show and discussed it with 727 00:41:00,760 --> 00:41:04,560 Speaker 1: me in the past. Where people get coronavirus, they recover, 728 00:41:04,880 --> 00:41:08,200 Speaker 1: they have antibodies, You remove the plasma, and then the 729 00:41:08,239 --> 00:41:13,560 Speaker 1: plasma is infused into those that are particularly sick. What 730 00:41:13,719 --> 00:41:17,279 Speaker 1: I have read again anecdotally, is that it's worked very 731 00:41:17,280 --> 00:41:21,840 Speaker 1: well well. The interesting thing about compless and plasma is 732 00:41:21,840 --> 00:41:23,960 Speaker 1: that not only was it used in China, when they 733 00:41:23,960 --> 00:41:27,080 Speaker 1: were struggling two months ago, and now in the United 734 00:41:27,080 --> 00:41:30,520 Speaker 1: States their permit permissions that have been granted to let 735 00:41:30,560 --> 00:41:33,719 Speaker 1: people use the technique, but they actually use it. During 736 00:41:33,719 --> 00:41:37,520 Speaker 1: the Spanish influenza right in nineteen eighteen, they were able 737 00:41:37,560 --> 00:41:41,120 Speaker 1: to do that exchange blood. And it's worked well enough 738 00:41:41,160 --> 00:41:43,120 Speaker 1: that it gotten to the medical literature. It acts is 739 00:41:43,160 --> 00:41:46,200 Speaker 1: before we understood imunology, before we understand what anybody was 740 00:41:46,600 --> 00:41:49,879 Speaker 1: or even though globulims. Now we have sophisticated understandings of these. 741 00:41:49,920 --> 00:41:52,120 Speaker 1: And I think columeless and plasma is going to be 742 00:41:52,160 --> 00:41:56,319 Speaker 1: a end of the game. Hell Mary past is going 743 00:41:56,360 --> 00:41:59,520 Speaker 1: to save patients. The question is if you louit too long, 744 00:41:59,560 --> 00:42:01,560 Speaker 1: of course too late, because you give a cadaver or 745 00:42:01,560 --> 00:42:04,719 Speaker 1: medication it won't work. And you also need to be 746 00:42:05,040 --> 00:42:07,960 Speaker 1: to deal with a bunch of other potential problems where 747 00:42:08,000 --> 00:42:10,319 Speaker 1: you give one person's blood to another person. That's why 748 00:42:10,520 --> 00:42:12,759 Speaker 1: although I love caunvalescent plasma and I think it's a 749 00:42:12,760 --> 00:42:14,319 Speaker 1: great crutch to get us where we need to go. 750 00:42:15,239 --> 00:42:18,000 Speaker 1: And I Elipkin is a great virus hunter, is a 751 00:42:18,080 --> 00:42:20,120 Speaker 1: huge believer in it. In fact, he's going to hopefully 752 00:42:20,200 --> 00:42:23,359 Speaker 1: lead the trial to show that it's impactful, but that's 753 00:42:23,400 --> 00:42:26,000 Speaker 1: again let's a short term strategy. Longer term, there must 754 00:42:26,040 --> 00:42:29,600 Speaker 1: be one hundred drugs shown literally a hundred medications that 755 00:42:29,680 --> 00:42:32,239 Speaker 1: are being examined. There are either in clinical trials and 756 00:42:32,320 --> 00:42:35,040 Speaker 1: getting ready to go that all deal with. There's problem. 757 00:42:35,040 --> 00:42:38,719 Speaker 1: A lot of them are repurpose medications muh that like 758 00:42:39,080 --> 00:42:42,040 Speaker 1: malaria drug and some of these are great anti virals 759 00:42:42,080 --> 00:42:44,640 Speaker 1: that have efficacy and in BOLD or HIV and the like. 760 00:42:44,960 --> 00:42:47,640 Speaker 1: And you also have drugs not just to stop the 761 00:42:47,920 --> 00:42:50,200 Speaker 1: because let's go just for everybody. Let's just go over 762 00:42:50,040 --> 00:42:52,000 Speaker 1: what a virus is. So a virus is not alive. 763 00:42:52,120 --> 00:42:55,160 Speaker 1: It's just a little strand of of in this case RNA, 764 00:42:55,440 --> 00:42:58,319 Speaker 1: a little strand of blueprint that's gonna get into your 765 00:42:58,400 --> 00:43:03,400 Speaker 1: visible enemy. That's the presbility exactly right. And it actually 766 00:43:03,480 --> 00:43:05,719 Speaker 1: uses a receptor to en to the body. That's the 767 00:43:05,760 --> 00:43:09,040 Speaker 1: same one that some medications use, like the little Sartan 768 00:43:09,120 --> 00:43:14,360 Speaker 1: family of medications. These androtension blockers and rotensiin converting enzyme 769 00:43:14,520 --> 00:43:16,800 Speaker 1: medications people are on all of the country are on 770 00:43:16,880 --> 00:43:19,400 Speaker 1: them for high blood pressure. So that's why there was 771 00:43:19,440 --> 00:43:21,920 Speaker 1: a concern about those medications early on. It turns out 772 00:43:21,960 --> 00:43:24,960 Speaker 1: they're not really causing a problem, but some people thought, well, 773 00:43:24,960 --> 00:43:26,919 Speaker 1: maybe these medications are making it easier for the virus 774 00:43:26,960 --> 00:43:29,319 Speaker 1: to get In any case, there's a little blueprint gets 775 00:43:29,320 --> 00:43:32,200 Speaker 1: into your cell and then it hijacks the machinery. It 776 00:43:32,440 --> 00:43:34,759 Speaker 1: takes over the cell and it starts making itself. So 777 00:43:34,800 --> 00:43:37,640 Speaker 1: you can block it getting into the cell. You can 778 00:43:37,680 --> 00:43:40,799 Speaker 1: block it hijacking the machinery, you can sabotage what it 779 00:43:40,840 --> 00:43:43,399 Speaker 1: makes when hijacks as the machinery. And then the last 780 00:43:43,440 --> 00:43:45,240 Speaker 1: thing you can do is if it's if it's hijack 781 00:43:45,320 --> 00:43:47,319 Speaker 1: the cell and it's creating havoc in your body, you 782 00:43:47,360 --> 00:43:49,960 Speaker 1: can block what that havoc is. You can literally block 783 00:43:50,000 --> 00:43:53,520 Speaker 1: the chemicals that it's making that destroys the body. All 784 00:43:53,560 --> 00:43:56,880 Speaker 1: those pathways work, and then finally complescent plasma what you mentioned, 785 00:43:57,200 --> 00:43:59,640 Speaker 1: it worst comes worse. You can just fires missiles at 786 00:43:59,680 --> 00:44:02,920 Speaker 1: the cells that have been hijacked, which is someone else's immunoglobulin. 787 00:44:03,480 --> 00:44:06,160 Speaker 1: Do you see any prophylactic qualities to this because it 788 00:44:06,280 --> 00:44:09,920 Speaker 1: keeps coming up, Um, what do you think? Well, the 789 00:44:09,920 --> 00:44:12,280 Speaker 1: big prophylaxis is actually not going to be that because 790 00:44:12,480 --> 00:44:13,960 Speaker 1: that's you know, if it's hard to give up to 791 00:44:13,960 --> 00:44:17,799 Speaker 1: all the doctors and nurses waiting on patients. But the 792 00:44:17,840 --> 00:44:21,799 Speaker 1: bigger concern is our opportunity is the malaria drug that 793 00:44:21,880 --> 00:44:25,000 Speaker 1: might actually work as a preventive tool to give the 794 00:44:25,080 --> 00:44:27,160 Speaker 1: high risk folks. Let's just say your spouse got die, 795 00:44:27,239 --> 00:44:29,480 Speaker 1: You're you're a high risk person, You're around sick people 796 00:44:29,480 --> 00:44:32,200 Speaker 1: all day. Would you take it as a prophylactic Well, 797 00:44:32,200 --> 00:44:34,600 Speaker 1: if I was exposed to someone, Let's say someone had 798 00:44:34,600 --> 00:44:36,280 Speaker 1: a cardiac arrest and I had to put a breathing 799 00:44:36,320 --> 00:44:37,879 Speaker 1: tube in them, and while I was doing that, they 800 00:44:37,920 --> 00:44:39,600 Speaker 1: cought so right in my face, I get a big 801 00:44:39,600 --> 00:44:42,080 Speaker 1: plume of virus. Yes, I would take it. You would. 802 00:44:42,239 --> 00:44:44,920 Speaker 1: But if I'm seeing patients from across the hall and 803 00:44:45,040 --> 00:44:47,239 Speaker 1: I'm protected, if I were to go see them, then 804 00:44:47,239 --> 00:44:49,280 Speaker 1: I don't want. I don't. I don't want to expose myself. 805 00:44:49,280 --> 00:44:50,800 Speaker 1: But I think for a lot of first responders. I 806 00:44:50,880 --> 00:44:53,000 Speaker 1: mean some of these hospitals, twenty five percent of their 807 00:44:53,040 --> 00:44:55,640 Speaker 1: staff is out. And you know, when you quarantine a 808 00:44:55,680 --> 00:44:58,680 Speaker 1: medical staff, we can still do telemedicine, right, we can 809 00:44:58,800 --> 00:45:00,960 Speaker 1: help from the sidelines. But you're on the sidelines. You 810 00:45:01,000 --> 00:45:03,040 Speaker 1: know you're not gonna catch touchdown pass You're not gonna 811 00:45:03,040 --> 00:45:06,279 Speaker 1: throw the touchdown, You're not gonna walk for anybody. Well, 812 00:45:06,320 --> 00:45:09,840 Speaker 1: I want to applaud you again. Um. Your passionate about 813 00:45:09,880 --> 00:45:12,680 Speaker 1: this is infectious. And I know you work in twenty 814 00:45:12,719 --> 00:45:16,040 Speaker 1: four to seven and I really believe that lives are 815 00:45:16,040 --> 00:45:18,400 Speaker 1: going to be saved because of your hard work and 816 00:45:18,440 --> 00:45:21,320 Speaker 1: you're digging behind the scenes, and you're all the doctors 817 00:45:21,320 --> 00:45:25,719 Speaker 1: you're talking to worldwide and all the anecdotal evidence that 818 00:45:25,760 --> 00:45:28,520 Speaker 1: you've been acquiring, and it's going to be interesting to 819 00:45:28,520 --> 00:45:31,040 Speaker 1: see as this clinical trial started tuesday in New York, 820 00:45:31,080 --> 00:45:34,839 Speaker 1: what information will have next week. But doctor Oz, thank you, 821 00:45:35,160 --> 00:45:37,840 Speaker 1: you're you're the best. I'll see you tonight. Yeah, go ahead, 822 00:45:38,200 --> 00:45:39,840 Speaker 1: So I you know, I send you a note. But 823 00:45:39,920 --> 00:45:43,520 Speaker 1: just for everybody, said Governor Collier. Getting retired and I 824 00:45:43,680 --> 00:45:46,080 Speaker 1: was a practicing doctor brought up a very sensitive issue 825 00:45:46,080 --> 00:45:48,760 Speaker 1: for physicians, which is are they going to be covered 826 00:45:49,040 --> 00:45:51,840 Speaker 1: if if if a mistake happens in the middle of 827 00:45:51,920 --> 00:45:54,560 Speaker 1: the battlefield when they're taking care of COVID nineteen patients. 828 00:45:54,600 --> 00:45:55,960 Speaker 1: I know you haven't thought about it as when the 829 00:45:55,960 --> 00:45:58,919 Speaker 1: plant the seed, that bright mind of yours about whether 830 00:45:59,040 --> 00:46:01,160 Speaker 1: that might make sense and I'm not looking for blanket 831 00:46:01,560 --> 00:46:04,399 Speaker 1: amnesty for mistakes, because that's not fair to people get 832 00:46:04,400 --> 00:46:07,960 Speaker 1: into care. But this is a very big problem for 833 00:46:08,040 --> 00:46:09,920 Speaker 1: nurses and doctors because if they have to do their 834 00:46:10,000 --> 00:46:12,640 Speaker 1: usual charting and meticulous note taking and all the things 835 00:46:12,640 --> 00:46:15,520 Speaker 1: that you're expected to do to avoid being involved in litigation, 836 00:46:15,800 --> 00:46:17,759 Speaker 1: it takes them away from what they need to do now. 837 00:46:17,840 --> 00:46:21,160 Speaker 1: Plus sometimes in the middle of what's the craziness is 838 00:46:21,160 --> 00:46:23,520 Speaker 1: going on some of these hospitals, there just isn't time 839 00:46:23,520 --> 00:46:26,279 Speaker 1: to do everything that they need to do. Yeah, well, 840 00:46:26,320 --> 00:46:28,040 Speaker 1: I want to thank you again for what you're doing. 841 00:46:28,239 --> 00:46:30,640 Speaker 1: I know this is your obvious calling in life, to 842 00:46:30,680 --> 00:46:33,680 Speaker 1: save lives. I also want to thank the guys at Teva. 843 00:46:33,800 --> 00:46:37,279 Speaker 1: They donated six million doses. They're donating four million more 844 00:46:37,280 --> 00:46:41,080 Speaker 1: than in the Israeli company that producers pharmaceuticals. I want 845 00:46:41,080 --> 00:46:43,399 Speaker 1: to thank them publicly. They've been amazing. We can't thank 846 00:46:43,440 --> 00:46:46,239 Speaker 1: you enough. You see the best in people, and then 847 00:46:46,280 --> 00:46:48,680 Speaker 1: sometimes you see the worst. They're the best. You're the best, 848 00:46:49,080 --> 00:46:51,320 Speaker 1: and please keep us up to speed. We'll get an update. 849 00:46:51,360 --> 00:46:53,440 Speaker 1: Doctor Os will be with us on Hannity tonight. Thank 850 00:46:53,480 --> 00:46:55,520 Speaker 1: you so much for all you're doing. God bless you, 851 00:46:55,600 --> 00:46:57,799 Speaker 1: take care you too. I bless you quick break right 852 00:46:57,840 --> 00:47:00,319 Speaker 1: back all right, twenty five now untill the top our 853 00:47:00,400 --> 00:47:02,600 Speaker 1: our medical law a team will take some of your 854 00:47:02,680 --> 00:47:04,520 Speaker 1: questions and calls. And know a lot of you have 855 00:47:04,560 --> 00:47:08,839 Speaker 1: a lot of worry, fear, concern, anxiety. I've tried to 856 00:47:08,880 --> 00:47:10,920 Speaker 1: say this as often as I can, in the best 857 00:47:11,000 --> 00:47:13,440 Speaker 1: way I can, in the most encouraging way I can. 858 00:47:13,520 --> 00:47:17,600 Speaker 1: And I look, there are always things in life that 859 00:47:17,640 --> 00:47:21,759 Speaker 1: are scary. There are there is there's two ways to 860 00:47:21,880 --> 00:47:25,959 Speaker 1: react when things get tough in life. There's only two. 861 00:47:26,880 --> 00:47:30,160 Speaker 1: And I know that as human beings. You know if 862 00:47:30,280 --> 00:47:32,520 Speaker 1: I find that, if you have a belief in God 863 00:47:32,560 --> 00:47:35,560 Speaker 1: and faith and so on and so forth from me, 864 00:47:36,200 --> 00:47:40,279 Speaker 1: that gives you a level of confidence that you just 865 00:47:40,360 --> 00:47:42,560 Speaker 1: realize a lot of this is out of our hands. 866 00:47:43,600 --> 00:47:46,880 Speaker 1: There's nothing that we can do as human beings to 867 00:47:46,920 --> 00:47:51,919 Speaker 1: add a single second to our life. I mean it's 868 00:47:51,960 --> 00:47:55,000 Speaker 1: not you don't usually run through your life thinking about 869 00:47:55,040 --> 00:47:57,399 Speaker 1: those types of things, but when you really think about it, 870 00:47:58,040 --> 00:48:00,320 Speaker 1: you can't. There's nothing you can do to add another 871 00:48:00,480 --> 00:48:03,080 Speaker 1: second to your life. Is it's going to be what 872 00:48:03,160 --> 00:48:06,719 Speaker 1: it's going to be. We are all going to die. 873 00:48:06,800 --> 00:48:09,520 Speaker 1: I wish that wasn't true. I wish we could live 874 00:48:09,560 --> 00:48:15,360 Speaker 1: forever now. If you believe in paradise heaven. My Christian 875 00:48:15,400 --> 00:48:19,080 Speaker 1: faith tells me you believe and put your faith, hope, trust, 876 00:48:19,120 --> 00:48:24,560 Speaker 1: and Jesus, and that you know you ask forgiveness, You 877 00:48:24,560 --> 00:48:28,279 Speaker 1: ask him into your heart. You change your life. Repentance 878 00:48:28,360 --> 00:48:31,640 Speaker 1: is from the Latin to me to mean to change 879 00:48:31,640 --> 00:48:35,000 Speaker 1: one's heart. Repentance change your heart, all right, so you 880 00:48:35,040 --> 00:48:39,120 Speaker 1: believe in an afterlife. I know people that are compulsive warriors, 881 00:48:39,160 --> 00:48:44,080 Speaker 1: compulsive never They worry about every single solitary thing in 882 00:48:44,120 --> 00:48:46,920 Speaker 1: their life. Maybe I'm just too busy or too stupid 883 00:48:47,200 --> 00:48:49,880 Speaker 1: to worry, to waste my time worrying. I have found 884 00:48:49,960 --> 00:48:56,800 Speaker 1: worry to be an energy draining, you know, waste of time, 885 00:48:56,840 --> 00:49:00,840 Speaker 1: because worry doesn't solve anything. Fear is not solve a 886 00:49:00,960 --> 00:49:05,640 Speaker 1: single thing in your life. I mean, just to be philosophical, 887 00:49:06,080 --> 00:49:09,879 Speaker 1: we're all dying. We're all going to die. I don't 888 00:49:09,880 --> 00:49:14,840 Speaker 1: know anybody that is going to live forever, but we 889 00:49:14,920 --> 00:49:17,200 Speaker 1: want to live as long as possible. Why do we 890 00:49:17,239 --> 00:49:19,040 Speaker 1: work out like crazy? Well, we want to look better. 891 00:49:19,040 --> 00:49:22,480 Speaker 1: I guess that's part of the reason. Maybe vanity's part. 892 00:49:22,480 --> 00:49:24,520 Speaker 1: But you will most people. A lot of people work 893 00:49:24,520 --> 00:49:28,160 Speaker 1: out because they want to live healthy and as long 894 00:49:28,200 --> 00:49:30,400 Speaker 1: as possible, and they want to be around their kids, 895 00:49:30,400 --> 00:49:32,480 Speaker 1: and one day they want to be around their grandkids. 896 00:49:32,520 --> 00:49:35,200 Speaker 1: And you know, they're enjoying their life whatever it happens 897 00:49:35,239 --> 00:49:37,920 Speaker 1: to be. But there are people you get in. You 898 00:49:37,960 --> 00:49:42,000 Speaker 1: get trapped in this endless cycle where your thoughts will 899 00:49:42,080 --> 00:49:45,400 Speaker 1: create feelings, and your feelings will then create more thoughts 900 00:49:45,400 --> 00:49:48,360 Speaker 1: and feelings and thoughts and thoughts and feelings and thoughts 901 00:49:48,360 --> 00:49:50,920 Speaker 1: and thoughts, and say it's endless. It's like a recording 902 00:49:50,960 --> 00:49:52,840 Speaker 1: you can't shut off. You've ever a song stuck in 903 00:49:52,920 --> 00:49:58,960 Speaker 1: your head whenever you hear any loss of life. I 904 00:49:59,000 --> 00:50:01,880 Speaker 1: think this is what may America so great. We have 905 00:50:02,040 --> 00:50:07,200 Speaker 1: paid the price to save lives, so many lives. It's 906 00:50:07,360 --> 00:50:10,839 Speaker 1: it's America that has that has led the way with 907 00:50:10,920 --> 00:50:17,080 Speaker 1: so many medical advancements and treatments. Freedom allows us to 908 00:50:17,120 --> 00:50:20,960 Speaker 1: do that. Freedom is, you know, we believe that we're 909 00:50:21,040 --> 00:50:23,560 Speaker 1: endowed by our creator. Rights come from God, they don't 910 00:50:23,560 --> 00:50:28,439 Speaker 1: come from man. And so you have choices here. I 911 00:50:28,480 --> 00:50:32,920 Speaker 1: think you make the best decisions when you can stand back, 912 00:50:33,560 --> 00:50:38,600 Speaker 1: put aside fear, worry, concern is Okay, concern is normal. 913 00:50:39,160 --> 00:50:44,680 Speaker 1: You know, doing smart things is smart. But I find 914 00:50:44,880 --> 00:50:48,760 Speaker 1: I would lose strategic and a strategic ability to think 915 00:50:48,800 --> 00:50:51,480 Speaker 1: if I was in a constant state of worry, like 916 00:50:51,520 --> 00:50:53,560 Speaker 1: I know, for example, like I've had friends of mine 917 00:50:53,600 --> 00:50:56,480 Speaker 1: over the years, I'll get notes from them. I know, right, 918 00:50:56,680 --> 00:50:59,840 Speaker 1: are you okay? He's everything? All right? You're sure you're okay? 919 00:51:00,000 --> 00:51:03,320 Speaker 1: I like, why, what's something wrong that I didn't know about? 920 00:51:03,880 --> 00:51:08,960 Speaker 1: I read this article and I'm like, um, well, what 921 00:51:09,200 --> 00:51:11,640 Speaker 1: article are you're talking about. I'm you know, I read 922 00:51:11,960 --> 00:51:14,600 Speaker 1: lots of articles and they'll say, I read this article, 923 00:51:14,920 --> 00:51:18,120 Speaker 1: it's terrible. You're okay. You're reading these horrible things about you, 924 00:51:18,160 --> 00:51:20,360 Speaker 1: and I'm like, I didn't even see it, because that 925 00:51:20,560 --> 00:51:23,400 Speaker 1: switch that cares about what other people think about me 926 00:51:23,520 --> 00:51:27,960 Speaker 1: is long gone. You can't live your life worried what 927 00:51:28,080 --> 00:51:31,239 Speaker 1: people are going to think about you. You have to 928 00:51:31,280 --> 00:51:34,320 Speaker 1: find a happy medium where you have the confidence that 929 00:51:34,520 --> 00:51:38,800 Speaker 1: that's actually from the Latin too, confideo with God, with Deity, 930 00:51:39,320 --> 00:51:41,759 Speaker 1: where you could believe that okay, you feel right in 931 00:51:41,760 --> 00:51:44,000 Speaker 1: your heart and the decisions you make. My point is this, 932 00:51:45,080 --> 00:51:48,640 Speaker 1: when you put the best of America as we are 933 00:51:48,680 --> 00:51:56,080 Speaker 1: now witnessing, corporations, medical researchers, doctors, scientists, frontline, brave people 934 00:51:56,600 --> 00:52:00,359 Speaker 1: that put themselves in harm's way, like we're watching. We 935 00:52:00,480 --> 00:52:03,600 Speaker 1: tackle problems and we solve problems that we never thought 936 00:52:03,600 --> 00:52:07,279 Speaker 1: we could solve before. And that's what's going to happen here. 937 00:52:07,320 --> 00:52:09,960 Speaker 1: That is what is happening here at a level that 938 00:52:10,120 --> 00:52:13,560 Speaker 1: is inspiring to me and I hope inspiring to many 939 00:52:13,600 --> 00:52:16,879 Speaker 1: of you as well. And I think that's where we're 940 00:52:16,880 --> 00:52:19,160 Speaker 1: going to end up in this, and I think that 941 00:52:19,360 --> 00:52:22,759 Speaker 1: is where we should end up in this. So you 942 00:52:22,840 --> 00:52:28,000 Speaker 1: see the rapid response to answer every single solitary concern 943 00:52:28,080 --> 00:52:31,799 Speaker 1: that people have. I am. You know, the President is 944 00:52:31,800 --> 00:52:36,200 Speaker 1: speaking hang of any relief ever signed. It's a two 945 00:52:36,200 --> 00:52:38,479 Speaker 1: point two billion, but it actually goes up to six 946 00:52:38,520 --> 00:52:43,279 Speaker 1: point two potentially billion dollars, trillion dollars, So you're talking 947 00:52:43,320 --> 00:52:47,680 Speaker 1: about a six point two trillion dollar bill, nothing like that. 948 00:52:47,920 --> 00:52:52,560 Speaker 1: And this will deliver urgently needed relief to our nation's families, workers, 949 00:52:52,560 --> 00:52:57,040 Speaker 1: and businesses. And that's what this is all about. And 950 00:52:57,239 --> 00:53:00,839 Speaker 1: they've got a ninety six to nothing and I don't 951 00:53:00,840 --> 00:53:06,400 Speaker 1: know what was the number in Congress. Fantastic, just as close. 952 00:53:06,560 --> 00:53:09,319 Speaker 1: That's pretty amazing. That's about the same thing, right, Kevin, Yes, 953 00:53:10,040 --> 00:53:13,120 Speaker 1: so that's fantastic. But I want to thank Republicans and 954 00:53:13,280 --> 00:53:17,440 Speaker 1: Democrats for coming together, setting aside their differences and putting 955 00:53:17,480 --> 00:53:23,000 Speaker 1: America first. This legislation provides for direct payments individuals and 956 00:53:23,200 --> 00:53:26,719 Speaker 1: unprecedented support to small businesses. We're going to keep our 957 00:53:26,760 --> 00:53:30,160 Speaker 1: small businesses strong and our big business is strong, and 958 00:53:30,239 --> 00:53:33,719 Speaker 1: that's keeping our country strong and our job strong. This 959 00:53:33,920 --> 00:53:37,239 Speaker 1: historic bill includes the following. Three hundred billion dollars in 960 00:53:37,320 --> 00:53:41,160 Speaker 1: direct cash payments will be available to every American citizen 961 00:53:41,520 --> 00:53:45,720 Speaker 1: earning less than ninety nine thousand dollars per year, three thousand, 962 00:53:45,840 --> 00:53:49,680 Speaker 1: four hundred dollars for a typical family of four, so 963 00:53:49,840 --> 00:53:53,759 Speaker 1: family afford three thousand, four hundred dollars, And then three 964 00:53:53,880 --> 00:53:57,160 Speaker 1: hundred and fifty billion dollars in job retention loans for 965 00:53:57,360 --> 00:54:02,480 Speaker 1: small businesses, with loan forgiveness available for businesses that continue 966 00:54:02,520 --> 00:54:06,760 Speaker 1: paying their workers. The workers get paid approximately two hundred 967 00:54:06,760 --> 00:54:11,640 Speaker 1: and fifty billion dollars in expanded unemployment benefits. The average 968 00:54:11,640 --> 00:54:13,960 Speaker 1: worker who has lost his or her job will receive 969 00:54:14,400 --> 00:54:17,640 Speaker 1: one hundred percent of their salary for up to four 970 00:54:18,040 --> 00:54:21,480 Speaker 1: full months. So things like this have never happened in 971 00:54:21,480 --> 00:54:25,279 Speaker 1: our country. Five hundred billion dollars in support four hard 972 00:54:25,320 --> 00:54:29,000 Speaker 1: hit industries, with a ban on corporate stock buybacks. We 973 00:54:29,040 --> 00:54:31,319 Speaker 1: don't let them buy back to stock. We don't let 974 00:54:31,360 --> 00:54:36,520 Speaker 1: that happen. And tough limits on executive compensation. Over one 975 00:54:36,600 --> 00:54:41,279 Speaker 1: hundred billion dollars to support our heroic doctors, nurses, and hospitals. 976 00:54:41,280 --> 00:54:43,719 Speaker 1: And you see what's happening, and I want to thank 977 00:54:43,800 --> 00:54:46,480 Speaker 1: while we're here. Also the incredible job that's done by 978 00:54:46,480 --> 00:54:50,719 Speaker 1: the Army Corps of Engineers and by FEMA. It's been incredible. 979 00:54:50,760 --> 00:54:54,080 Speaker 1: They did four hospitals in two days or three days 980 00:54:54,080 --> 00:54:57,919 Speaker 1: in New York and they're incredible structures. What a job 981 00:54:57,920 --> 00:55:00,000 Speaker 1: they've been doing, and they're doing them all over the country. 982 00:55:00,880 --> 00:55:05,200 Speaker 1: Forty five billion dollars for the Disaster Relief Fund supporting 983 00:55:05,239 --> 00:55:09,480 Speaker 1: our state, local, and tribal leaders. Twenty seven billion dollars 984 00:55:09,520 --> 00:55:13,320 Speaker 1: for the development of vaccines, therapies, and other public health 985 00:55:13,400 --> 00:55:16,840 Speaker 1: response efforts, including sixteen billion dollars to build up the 986 00:55:17,000 --> 00:55:21,520 Speaker 1: Strategic National Stockpile with critical stockpiles. And I'm going to 987 00:55:22,360 --> 00:55:27,719 Speaker 1: we have tremendous supplies coming into the stockpile and you'll 988 00:55:27,719 --> 00:55:30,000 Speaker 1: be seeing that and hearing about it a little bit 989 00:55:30,000 --> 00:55:34,120 Speaker 1: because we're doing a news conference at five thirty on 990 00:55:34,160 --> 00:55:40,359 Speaker 1: what's happening. We've had tremendous results on the respirators, We've 991 00:55:40,400 --> 00:55:44,120 Speaker 1: had great results on just about everything we're talking about. 992 00:55:44,400 --> 00:55:46,680 Speaker 1: Boeing just announced that they're going to be making the 993 00:55:47,120 --> 00:55:50,799 Speaker 1: plastic face shields, the actual shields, which are hard to 994 00:55:50,840 --> 00:55:52,560 Speaker 1: come by, and they're going to be making them by 995 00:55:52,560 --> 00:55:56,960 Speaker 1: the thousands a week. And the ventilators, which is probably 996 00:55:56,960 --> 00:55:59,720 Speaker 1: the most difficult because it's it's like building a car. 997 00:56:00,800 --> 00:56:05,200 Speaker 1: We will be announcing thousands of our going to be built, 998 00:56:05,239 --> 00:56:07,600 Speaker 1: and we have a month to contract and we have 999 00:56:07,880 --> 00:56:11,640 Speaker 1: fast deliveries. As you know, we delivered thousands to New 1000 00:56:11,680 --> 00:56:14,239 Speaker 1: York and unfortunately they would delivered to a warehouse, which 1001 00:56:14,320 --> 00:56:16,919 Speaker 1: was good. Unfortunately they didn't take them. But now they're 1002 00:56:16,960 --> 00:56:20,440 Speaker 1: taking them. New York is now taking them and redistributing 1003 00:56:20,440 --> 00:56:23,360 Speaker 1: them around the areas that they need. So you have 1004 00:56:23,480 --> 00:56:27,240 Speaker 1: also three point five billion dollars to states to expand 1005 00:56:27,360 --> 00:56:32,399 Speaker 1: childcare benefits for healthcare workers, first responders, and others on 1006 00:56:32,440 --> 00:56:35,960 Speaker 1: the front lines of this crisis, and one billion dollars 1007 00:56:36,000 --> 00:56:40,480 Speaker 1: for securing supplies under the Defense Protection Act, and As 1008 00:56:40,520 --> 00:56:44,759 Speaker 1: you know, I've enacted the Act. We've used it three 1009 00:56:44,880 --> 00:56:47,600 Speaker 1: or four times. I pulled it back three times because 1010 00:56:48,320 --> 00:56:50,480 Speaker 1: the companies came through in the end they didn't need 1011 00:56:50,520 --> 00:56:53,960 Speaker 1: the act. It's been great leverage I have instituted against 1012 00:56:53,960 --> 00:56:56,400 Speaker 1: General Electric. We thought we had a deal for forty 1013 00:56:56,440 --> 00:56:59,560 Speaker 1: thousand ventilators, and all of a sudden, the forty thousand 1014 00:56:59,600 --> 00:57:03,040 Speaker 1: came down to six thousand, and then they talked about 1015 00:57:03,080 --> 00:57:05,719 Speaker 1: a higher price than we were discussing. So I didn't 1016 00:57:05,760 --> 00:57:10,640 Speaker 1: like it. So we we did activate it with respect 1017 00:57:10,719 --> 00:57:13,080 Speaker 1: to General Motors, and hopefully maybe we won't even need 1018 00:57:13,120 --> 00:57:16,600 Speaker 1: the full activation. We'll find out, but we need the ventilators. 1019 00:57:17,160 --> 00:57:22,000 Speaker 1: I said hello today. I called him a wonderful guy, 1020 00:57:22,000 --> 00:57:25,840 Speaker 1: Boris Johnson. As you know, he tested positive and before 1021 00:57:25,880 --> 00:57:29,960 Speaker 1: he even said hello, he said we need ventilators. I said, wow, 1022 00:57:30,120 --> 00:57:33,120 Speaker 1: that's a big statement. And hopefully he's going to be 1023 00:57:33,160 --> 00:57:36,680 Speaker 1: in good shape. I just spoke to Angela Merkel and 1024 00:57:37,360 --> 00:57:41,560 Speaker 1: she's quarantined. Also, she is right now for a period 1025 00:57:41,640 --> 00:57:45,120 Speaker 1: of two weeks, being forced to stay in her house. 1026 00:57:45,680 --> 00:57:49,440 Speaker 1: So this is just an incredible situation. Lest I spoke 1027 00:57:49,480 --> 00:57:54,160 Speaker 1: to President she we talked about the experience that they 1028 00:57:54,160 --> 00:57:56,600 Speaker 1: had in China and all of the things that have 1029 00:57:56,760 --> 00:58:00,320 Speaker 1: taken place, and we learned a lot. They've had a 1030 00:58:00,440 --> 00:58:04,680 Speaker 1: very tough experience and they're doing well and he's doing well. 1031 00:58:04,760 --> 00:58:07,040 Speaker 1: President she is doing very well. But we learned a 1032 00:58:07,040 --> 00:58:11,160 Speaker 1: lot and we have great communication together. We're going to 1033 00:58:11,200 --> 00:58:14,560 Speaker 1: be sent great data from China, things that happened that 1034 00:58:14,640 --> 00:58:19,200 Speaker 1: they see that you know, they've they've had an early experience, 1035 00:58:19,400 --> 00:58:22,960 Speaker 1: and we're getting all of that information. Much of it 1036 00:58:23,000 --> 00:58:25,240 Speaker 1: has already been sent to was said yesterday and sent 1037 00:58:25,320 --> 00:58:29,240 Speaker 1: to our scientists to study. So we'll have more on 1038 00:58:29,280 --> 00:58:32,320 Speaker 1: that also. We'll be discussing that at five thirty. I 1039 00:58:32,440 --> 00:58:34,680 Speaker 1: just want to thank the people behind me. They've been 1040 00:58:35,320 --> 00:58:39,840 Speaker 1: incredible friends. They've been warriors. There's nobody tougher or smarter 1041 00:58:40,000 --> 00:58:42,880 Speaker 1: than the people standing alongside of me. And I think 1042 00:58:42,880 --> 00:58:45,840 Speaker 1: I want to start up by asking Mitch and then 1043 00:58:45,960 --> 00:58:47,840 Speaker 1: Kevin to speak, and then we're going to go through 1044 00:58:47,880 --> 00:58:49,680 Speaker 1: a few of the folks in the room if they'd 1045 00:58:49,720 --> 00:58:52,520 Speaker 1: like to say something, but Mitch, i'd I'd love you 1046 00:58:52,560 --> 00:58:55,920 Speaker 1: to say a few words. Because this man worked twenty 1047 00:58:55,920 --> 00:58:57,920 Speaker 1: four hours a day for a long time. This is 1048 00:58:57,960 --> 00:59:01,800 Speaker 1: the result. It's the biggest ever ever approved in con 1049 00:59:02,000 --> 00:59:06,320 Speaker 1: six point six point two trillion dollars. So you know, 1050 00:59:06,360 --> 00:59:08,720 Speaker 1: we used to get used to the billion. It used 1051 00:59:08,720 --> 00:59:10,880 Speaker 1: to be million, then it was million. Now it's treggon 1052 00:59:11,720 --> 00:59:14,800 Speaker 1: and it's going to go a long way. It's gonna 1053 00:59:14,840 --> 00:59:17,760 Speaker 1: make a lot of people very happy. Mitch McConnell, please, 1054 00:59:18,000 --> 00:59:21,280 Speaker 1: Nis President, let me just say this a proud moment 1055 00:59:21,440 --> 00:59:24,880 Speaker 1: for our country, for the President, the Republicans, and the 1056 00:59:24,960 --> 00:59:28,800 Speaker 1: Democrats all pull together and pass the biggest bill in 1057 00:59:29,000 --> 00:59:33,040 Speaker 1: history and record time. I also want to thank Kevin 1058 00:59:33,120 --> 00:59:37,160 Speaker 1: McCarthy and our leaders on the Republican side in the 1059 00:59:37,320 --> 00:59:41,240 Speaker 1: House who helped speed this through to passage. The American 1060 00:59:41,320 --> 00:59:44,960 Speaker 1: people needed this rescue package. They needed it quickly, and 1061 00:59:45,080 --> 00:59:47,560 Speaker 1: we delivered. It's a proud moment for all of this. 1062 00:59:47,840 --> 00:59:50,320 Speaker 1: Mister President, thanks for the opmtunity to be here. I'd 1063 00:59:50,400 --> 00:59:52,640 Speaker 1: love to shake your hand, but Anthony would get angry 1064 00:59:52,680 --> 00:59:55,640 Speaker 1: at me, so I better not do it. I can't. 1065 00:59:55,920 --> 00:59:57,840 Speaker 1: It's so natural. I just want to go back and 1066 00:59:57,880 --> 01:00:02,040 Speaker 1: shake his head. They've done such an incredible job. Kevin. Please, yeah, 1067 01:00:02,080 --> 01:00:03,720 Speaker 1: I do want to start. I want to thank all 1068 01:00:05,040 --> 01:00:08,240 Speaker 1: the real answer to Americas. We're listening to you. You 1069 01:00:08,320 --> 01:00:09,960 Speaker 1: do your part and we're going to do ours. And 1070 01:00:10,000 --> 01:00:14,040 Speaker 1: that's exactly what's happening today. What Leader McConnell did was amazing. 1071 01:00:14,080 --> 01:00:18,320 Speaker 1: He made it bipartisan, bicameral, everybody was involved. I wish 1072 01:00:18,360 --> 01:00:20,600 Speaker 1: we could assigned this earlier this week, maybe there weren't 1073 01:00:20,600 --> 01:00:22,800 Speaker 1: to be as many people who are out of work, 1074 01:00:22,800 --> 01:00:24,960 Speaker 1: but this will put people back to work. I also 1075 01:00:25,040 --> 01:00:27,840 Speaker 1: want to thank Secretary Manucha. You've done an amazing job 1076 01:00:28,160 --> 01:00:29,919 Speaker 1: and we thank you for that and all the team 1077 01:00:29,960 --> 01:00:34,680 Speaker 1: that's here. Look, as I said my speech, the virus 1078 01:00:34,720 --> 01:00:37,040 Speaker 1: is here. We didn't ask for it, we didn't invite it, 1079 01:00:38,360 --> 01:00:40,560 Speaker 1: we didn't choose it, but we are going to defeat 1080 01:00:40,600 --> 01:00:42,920 Speaker 1: it together because we're going to work together. And this 1081 01:00:43,000 --> 01:00:44,840 Speaker 1: is the first start of it. The hospitals will get 1082 01:00:44,920 --> 01:00:48,120 Speaker 1: money the money they need. The small businesses will be 1083 01:00:48,200 --> 01:00:50,720 Speaker 1: able to hire their employees back that as a grant 1084 01:00:50,840 --> 01:00:53,040 Speaker 1: you don't have to borrow from that place. The other 1085 01:00:53,080 --> 01:00:56,680 Speaker 1: businesses get a retention to keep your employees on. This 1086 01:00:56,720 --> 01:00:59,040 Speaker 1: has something for everything, and to the task Force and 1087 01:00:59,080 --> 01:01:01,400 Speaker 1: the Vice President, all the work that you're doing with 1088 01:01:01,440 --> 01:01:04,160 Speaker 1: this president, this will be the needed resources you need 1089 01:01:04,160 --> 01:01:05,600 Speaker 1: as well. And so thank you for that and thank 1090 01:01:05,640 --> 01:01:10,400 Speaker 1: you for your leadership, mister special Mike Pence. Mike, could 1091 01:01:10,440 --> 01:01:12,960 Speaker 1: you please say something. You've been working very hard in 1092 01:01:13,080 --> 01:01:15,000 Speaker 1: charge of our task force. And then I'd like to 1093 01:01:15,040 --> 01:01:19,439 Speaker 1: ask Stevens the President, and they're just announcing the deal. 1094 01:01:19,440 --> 01:01:22,840 Speaker 1: There's nothing really news worthy in this that's happening, except 1095 01:01:22,920 --> 01:01:25,040 Speaker 1: that now the President has cited the moneys will be 1096 01:01:25,080 --> 01:01:28,200 Speaker 1: allocated as we've been discussing now for a week. Our 1097 01:01:28,240 --> 01:01:30,200 Speaker 1: medical experts at the top of the hour will take 1098 01:01:30,240 --> 01:01:34,600 Speaker 1: your call a President's daily Coronavirus Task Force meeting. You 1099 01:01:34,680 --> 01:01:37,240 Speaker 1: just announced a five thirty and we'll carry that when 1100 01:01:37,240 --> 01:01:40,480 Speaker 1: that happens. I represent one of the hardest hit communities 1101 01:01:40,680 --> 01:01:43,760 Speaker 1: in the hardest hit city in this country, Queen's New York. 1102 01:01:43,920 --> 01:01:48,640 Speaker 1: Thirteen dead in a night in Elmhurst Hospital alone. Our 1103 01:01:48,840 --> 01:01:53,960 Speaker 1: community's reality is this country's future if we don't do anything. 1104 01:01:54,080 --> 01:01:57,480 Speaker 1: Hospital workers do not have protective equipment, we don't have 1105 01:01:57,560 --> 01:02:01,240 Speaker 1: the necessary ventil lators. But we have to go into 1106 01:02:01,280 --> 01:02:04,880 Speaker 1: this vote eyes white open. What did the Senate majority 1107 01:02:04,920 --> 01:02:07,920 Speaker 1: fight for one of the largest corporate bailouts with as 1108 01:02:07,960 --> 01:02:13,440 Speaker 1: few strings as possible in American history? Shameful? The greed 1109 01:02:14,120 --> 01:02:18,240 Speaker 1: of that fight is wrong for crumbs for our families, 1110 01:02:18,280 --> 01:02:21,240 Speaker 1: and the option that we have is to either let 1111 01:02:21,320 --> 01:02:25,240 Speaker 1: them suffer with nothing or to allow this greed and 1112 01:02:25,440 --> 01:02:28,280 Speaker 1: billions of dollars which will be leveraged into trillions of 1113 01:02:28,280 --> 01:02:32,280 Speaker 1: dollars to contribute to the largest income inequality gap in 1114 01:02:32,320 --> 01:02:35,600 Speaker 1: our future. There should be shame about what was fought 1115 01:02:35,640 --> 01:02:38,800 Speaker 1: for in this bill and the choices that we have 1116 01:02:38,920 --> 01:02:43,120 Speaker 1: to make there. It is news round up information overload 1117 01:02:43,160 --> 01:02:46,240 Speaker 1: our Acasso. Cortez is angry because all the New Green 1118 01:02:46,360 --> 01:02:49,800 Speaker 1: Deal aspects she tried to jam into this build for 1119 01:02:49,920 --> 01:02:54,120 Speaker 1: relief for hospital workers on the front lines and workers 1120 01:02:54,200 --> 01:02:56,480 Speaker 1: this place that need to pay their rent and need 1121 01:02:56,520 --> 01:02:58,760 Speaker 1: to pay their mortgage, and need to pay their car 1122 01:02:58,880 --> 01:03:01,920 Speaker 1: payment and need to buy groceries and so on and 1123 01:03:01,960 --> 01:03:05,640 Speaker 1: so forth. We're getting taken care of over her insane 1124 01:03:05,680 --> 01:03:08,760 Speaker 1: Green New Deal, which is you can see where the 1125 01:03:08,760 --> 01:03:13,680 Speaker 1: pressure in that party comes from. It is unbelievable. Anyways, 1126 01:03:13,680 --> 01:03:15,600 Speaker 1: we go forward. I know a lot of people have 1127 01:03:15,920 --> 01:03:18,120 Speaker 1: a lot of medical questions and a lot of medical 1128 01:03:18,160 --> 01:03:22,240 Speaker 1: issues that you want answered. So I invited our medical 1129 01:03:22,240 --> 01:03:25,800 Speaker 1: a team back. Doctor Brian McDonough currently hosting a podcast 1130 01:03:25,880 --> 01:03:31,040 Speaker 1: daily on coronavirus clinical Professor, Family Medicine, Temple University School 1131 01:03:31,040 --> 01:03:35,520 Speaker 1: of Medicine. We have Betsy McCoy, former Lieutenant Governor New York, 1132 01:03:35,600 --> 01:03:41,640 Speaker 1: chairwoman of the Committee to Reduce Infectious Deaths. And by 1133 01:03:41,680 --> 01:03:45,680 Speaker 1: the way, she said about Cuomo's edict, if the reported 1134 01:03:45,760 --> 01:03:51,400 Speaker 1: correctly dooms thousands of elderly to death, basic infection controls says, 1135 01:03:52,080 --> 01:03:55,640 Speaker 1: identify the infected and contain them. She's talking about the 1136 01:03:55,720 --> 01:04:00,120 Speaker 1: decision that mandates New York nursing homes take people with 1137 01:04:00,200 --> 01:04:04,200 Speaker 1: corona back at the nursing home. Welcome back both of you, doctor, 1138 01:04:05,160 --> 01:04:06,920 Speaker 1: Thank you, and Betsy. Let me start with you on 1139 01:04:06,960 --> 01:04:12,120 Speaker 1: that one issue. Do we know that these people still 1140 01:04:12,280 --> 01:04:15,440 Speaker 1: capable of passing on this virus? Are they still contagious 1141 01:04:15,520 --> 01:04:17,800 Speaker 1: some of them are. Let me make it clear that 1142 01:04:17,920 --> 01:04:21,120 Speaker 1: I'm not doing I'm not trying to criticize Andrew Cuomo. 1143 01:04:21,200 --> 01:04:24,200 Speaker 1: We're all trying very hard here, but many other states 1144 01:04:24,240 --> 01:04:28,160 Speaker 1: are watching what New York is doing and requiring that 1145 01:04:28,440 --> 01:04:34,120 Speaker 1: nursing homes admit or readmit patients who have been in 1146 01:04:34,160 --> 01:04:38,120 Speaker 1: the hospital with coronavirus without even knowing if they still 1147 01:04:38,160 --> 01:04:41,920 Speaker 1: have it. This edict that the Cuomo administration issued yesterday 1148 01:04:42,400 --> 01:04:46,280 Speaker 1: bars the nursing home from asking for a test, and 1149 01:04:46,400 --> 01:04:50,560 Speaker 1: that means that the nursing home caregivers will be flying blind, 1150 01:04:51,160 --> 01:04:55,040 Speaker 1: not knowing whether the patient in their care has coronavirus 1151 01:04:55,200 --> 01:04:57,680 Speaker 1: or not. And you know, Sean from looking at the 1152 01:04:57,800 --> 01:05:02,440 Speaker 1: data that in general, one person infected with coronavirus may 1153 01:05:02,480 --> 01:05:05,920 Speaker 1: infect two or three others, But one person with coronavirus 1154 01:05:05,960 --> 01:05:09,760 Speaker 1: in a nursing home produces carnage. We saw it in 1155 01:05:09,840 --> 01:05:13,080 Speaker 1: the state of Washington, We've seen it in other countries, 1156 01:05:13,120 --> 01:05:16,120 Speaker 1: and we know it will happen here too, because most 1157 01:05:16,200 --> 01:05:20,280 Speaker 1: nursing homes don't have the isolation rooms or the train 1158 01:05:20,480 --> 01:05:24,840 Speaker 1: staff to control this virus. Agreed, by the way, we're 1159 01:05:24,840 --> 01:05:26,720 Speaker 1: going to take your calls for our medical a team. 1160 01:05:27,760 --> 01:05:30,600 Speaker 1: Let me just point out that a heroic nursing home 1161 01:05:30,680 --> 01:05:34,120 Speaker 1: chain in New Jersey did the right thing. Saint Joseph's 1162 01:05:34,200 --> 01:05:37,720 Speaker 1: Nursing Home, a Catholic home in New Jersey, was overwhelmed 1163 01:05:37,720 --> 01:05:40,880 Speaker 1: with coronavirus. They were down to a few nuns taking 1164 01:05:40,960 --> 01:05:44,720 Speaker 1: care of ninety patients. So Para one stepped in and said, 1165 01:05:45,080 --> 01:05:48,640 Speaker 1: we will empty one of our facilities, move out all 1166 01:05:48,680 --> 01:05:52,040 Speaker 1: the patients who don't have coronavirus to other locations, so 1167 01:05:52,120 --> 01:05:56,240 Speaker 1: we can take in these patients without endangering the rest 1168 01:05:56,240 --> 01:05:59,120 Speaker 1: of our nursing home residents. That's the way to do it. 1169 01:05:59,160 --> 01:06:03,560 Speaker 1: In another state, maybe listening, if you have patients being 1170 01:06:03,640 --> 01:06:06,640 Speaker 1: discharged from the hospital who may be infective with coronavirus, 1171 01:06:07,160 --> 01:06:11,840 Speaker 1: designate certain nursing homes and provide the capacity for them 1172 01:06:12,080 --> 01:06:16,040 Speaker 1: to safely take care of these residents. Let's where's your 1173 01:06:16,120 --> 01:06:20,080 Speaker 1: take on where we are, doctor McDonough, because listen, what's 1174 01:06:20,120 --> 01:06:23,440 Speaker 1: this unfold American now probably is a couple of more weeks. 1175 01:06:23,720 --> 01:06:26,919 Speaker 1: We're going to be watching those numbers rise, numbers, rise, numbers, rise, 1176 01:06:27,000 --> 01:06:30,240 Speaker 1: number of rise if patterns hold, and I want to 1177 01:06:30,240 --> 01:06:33,040 Speaker 1: know if you think they will, and they will level 1178 01:06:33,080 --> 01:06:36,160 Speaker 1: off and then a precipitous drop and then we'll get 1179 01:06:36,160 --> 01:06:38,880 Speaker 1: down to no new infections. Do you believe that's going 1180 01:06:38,920 --> 01:06:41,120 Speaker 1: to happen here? And how quickly will we get there? 1181 01:06:42,320 --> 01:06:44,320 Speaker 1: I think you know the one thing doctor Fauci said, 1182 01:06:44,320 --> 01:06:46,200 Speaker 1: which I'm sticking to, and I think it was probably 1183 01:06:46,280 --> 01:06:48,480 Speaker 1: something we'll hear thirty years from now. If that quote 1184 01:06:48,600 --> 01:06:50,680 Speaker 1: he said, the virus kind of sets the pace, it 1185 01:06:50,760 --> 01:06:52,560 Speaker 1: makes the rules, And I do believe the more I'm 1186 01:06:52,600 --> 01:06:55,200 Speaker 1: dealing with this, the more I'm seeing patients and involved 1187 01:06:55,200 --> 01:06:58,440 Speaker 1: in this firsthand, the virus does make the rules. My 1188 01:06:58,560 --> 01:07:02,880 Speaker 1: feeling is we're still going up, especially in New York, 1189 01:07:03,120 --> 01:07:04,880 Speaker 1: where we're going to get to that peak, and until 1190 01:07:04,920 --> 01:07:07,720 Speaker 1: we see those numbers starting to go down for a 1191 01:07:07,760 --> 01:07:10,720 Speaker 1: few days, I mean three to five days, we don't 1192 01:07:10,760 --> 01:07:13,840 Speaker 1: really know what that peak will be. The problem with 1193 01:07:13,880 --> 01:07:16,200 Speaker 1: not knowing what that peak will be sewn is because 1194 01:07:16,480 --> 01:07:18,680 Speaker 1: we really didn't get to test enough people early enough. 1195 01:07:18,680 --> 01:07:20,919 Speaker 1: We didn't get those tests out there, and because at 1196 01:07:20,920 --> 01:07:23,680 Speaker 1: that point, you know, quarterybody kind of by surprise that 1197 01:07:23,720 --> 01:07:26,040 Speaker 1: it would be this aggressive, that is what happens. So 1198 01:07:26,080 --> 01:07:29,280 Speaker 1: we don't really know who's walking around with it, but 1199 01:07:29,360 --> 01:07:31,680 Speaker 1: we can watch the numbers at least, and in other 1200 01:07:31,760 --> 01:07:34,280 Speaker 1: states we're obviously getting a better chance to do that, 1201 01:07:34,400 --> 01:07:36,560 Speaker 1: which I think is really important. That the testing is 1202 01:07:36,560 --> 01:07:38,360 Speaker 1: out there and we're going to have a better sense 1203 01:07:38,400 --> 01:07:44,120 Speaker 1: of what's going on for predictions everywhere else. Yeah, Betsy, 1204 01:07:44,160 --> 01:07:47,680 Speaker 1: go ahead. Of course, the issue of when to moderate 1205 01:07:47,800 --> 01:07:52,320 Speaker 1: or lift the lockdown depends less on how many cases 1206 01:07:52,360 --> 01:07:55,400 Speaker 1: there are. Let's not be confused and think that we 1207 01:07:55,520 --> 01:07:58,720 Speaker 1: have to be locked down until this virus disappears. Well, 1208 01:07:58,760 --> 01:08:01,040 Speaker 1: I ask the President about this last night, and the 1209 01:08:01,080 --> 01:08:04,280 Speaker 1: President was very very clear in saying that, Well, he 1210 01:08:04,840 --> 01:08:08,840 Speaker 1: look New York, maybe longer, California, maybe longer. We see 1211 01:08:08,880 --> 01:08:12,360 Speaker 1: bigger issues now breaking out in Louisiana, and I know 1212 01:08:12,480 --> 01:08:15,880 Speaker 1: more help is headed for Louisiana. Washington State might be 1213 01:08:15,920 --> 01:08:19,120 Speaker 1: a little bit longer, but other areas that are not 1214 01:08:19,240 --> 01:08:22,320 Speaker 1: seeing high incidents of this might be able to get 1215 01:08:22,360 --> 01:08:24,200 Speaker 1: back to business soon. And we got to remember one 1216 01:08:24,200 --> 01:08:28,000 Speaker 1: other thing. If we all want our grocery shelves full, 1217 01:08:28,479 --> 01:08:32,080 Speaker 1: if we all want our pharmacy's full, if we all 1218 01:08:32,120 --> 01:08:35,280 Speaker 1: want the medicines that we all need and everything else 1219 01:08:35,320 --> 01:08:39,040 Speaker 1: in between, well you can't shut down the whole country 1220 01:08:39,120 --> 01:08:40,920 Speaker 1: because we're not going to have anything at that point. 1221 01:08:41,760 --> 01:08:43,439 Speaker 1: We have to remember, Sean, that we don't want our 1222 01:08:43,479 --> 01:08:45,240 Speaker 1: marks full either. And I think the thing that we 1223 01:08:45,320 --> 01:08:47,519 Speaker 1: have to realize is when we get to a point, 1224 01:08:47,600 --> 01:08:50,320 Speaker 1: by the way, doctor McDonough, of course we don't want 1225 01:08:50,360 --> 01:08:52,800 Speaker 1: the marks full, but we also have to eat. You 1226 01:08:52,880 --> 01:08:57,360 Speaker 1: have to balance it, by the way. Okay, but for 1227 01:08:57,400 --> 01:08:59,360 Speaker 1: a second, and I want to say, Sean, I've heard you. 1228 01:08:59,400 --> 01:09:01,160 Speaker 1: I know you're learned about people, and I meant. What 1229 01:09:01,200 --> 01:09:04,240 Speaker 1: I meant is I do believe we have to respect 1230 01:09:04,240 --> 01:09:06,880 Speaker 1: the timing more than anybody. I loved it in two 1231 01:09:06,920 --> 01:09:09,479 Speaker 1: weeks for this thing, you know, to be celebrating Easter, 1232 01:09:09,560 --> 01:09:11,519 Speaker 1: all those things, I'm in favor of if we can 1233 01:09:11,560 --> 01:09:13,840 Speaker 1: do it. But what I'm saying is it very well 1234 01:09:13,920 --> 01:09:16,880 Speaker 1: could be eight weeks. And I tend to be more 1235 01:09:17,000 --> 01:09:19,360 Speaker 1: on the side of you have to do this as 1236 01:09:19,400 --> 01:09:22,840 Speaker 1: an entire country and buy in, because if you don't, 1237 01:09:23,360 --> 01:09:25,639 Speaker 1: we may not be seeing things in other states because 1238 01:09:25,680 --> 01:09:28,280 Speaker 1: we're just not testing or getting those results. We're fourteen 1239 01:09:28,360 --> 01:09:31,800 Speaker 1: days behind. We're like Europe's nothing compared to us. We're 1240 01:09:31,840 --> 01:09:33,800 Speaker 1: so big and massive. We have to look at that. 1241 01:09:33,840 --> 01:09:37,439 Speaker 1: But we got to apply common sense to this. We've 1242 01:09:37,439 --> 01:09:40,240 Speaker 1: got to apply common sense to this. New York is 1243 01:09:40,280 --> 01:09:45,320 Speaker 1: an international city. San Francisco same thing. Now. The question 1244 01:09:45,360 --> 01:09:48,800 Speaker 1: then is when people land there and they go to 1245 01:09:48,880 --> 01:09:52,680 Speaker 1: Florida or they go to Texas, wherever they happen to go. 1246 01:09:53,439 --> 01:09:56,880 Speaker 1: I mean, it makes sense why New York got hit harder, 1247 01:09:56,960 --> 01:09:59,479 Speaker 1: which again goes back to my argument. I'm kind of 1248 01:09:59,520 --> 01:10:03,160 Speaker 1: ticked off that New York should always be prepared knowing 1249 01:10:03,720 --> 01:10:08,080 Speaker 1: millions of people close proximity pandemics and not good for them, 1250 01:10:08,200 --> 01:10:12,240 Speaker 1: versus say, people that are certainly a more distance natural 1251 01:10:12,320 --> 01:10:17,160 Speaker 1: land distances between them. Betsy Brian doesn't want the Morgus field. 1252 01:10:17,320 --> 01:10:19,840 Speaker 1: None of us do. But we have to keep in 1253 01:10:19,920 --> 01:10:23,759 Speaker 1: mind that the lockdown is also a danger to life. 1254 01:10:24,680 --> 01:10:28,040 Speaker 1: Deaths from despair are going to soar. People who have 1255 01:10:28,080 --> 01:10:30,559 Speaker 1: spent thirty years building a business and are told they 1256 01:10:30,600 --> 01:10:32,800 Speaker 1: have to shut it. People who have a job and 1257 01:10:32,920 --> 01:10:37,080 Speaker 1: they lose it. We know forty eight thousand people die 1258 01:10:37,120 --> 01:10:40,080 Speaker 1: in our country every year from suicides, and tens of 1259 01:10:40,160 --> 01:10:44,839 Speaker 1: thousands die from opioid overdoses. So we have to be careful. 1260 01:10:44,880 --> 01:10:47,599 Speaker 1: As the President has said many times that the cure 1261 01:10:47,680 --> 01:10:52,720 Speaker 1: does not cost more lives than the virus itself. Joblessness 1262 01:10:53,040 --> 01:10:56,439 Speaker 1: will cause a lot of suffering. And even when Andrew 1263 01:10:56,479 --> 01:11:00,920 Speaker 1: Cuomo invoked this shutdown in New York, he said the 1264 01:11:01,000 --> 01:11:04,240 Speaker 1: purpose of the shutdown is to slow the virus enough 1265 01:11:04,640 --> 01:11:08,120 Speaker 1: that our hospitals can get ready, and the trigger to 1266 01:11:09,160 --> 01:11:12,400 Speaker 1: moderate that shutdown or even lift it is when the 1267 01:11:12,479 --> 01:11:16,640 Speaker 1: hospitals have enough capacity, not when the virus disappears. That 1268 01:11:16,680 --> 01:11:18,960 Speaker 1: could be a year, but once we know we have 1269 01:11:19,120 --> 01:11:23,280 Speaker 1: enough ICUs and ventilators and mass to accommodate the people 1270 01:11:23,320 --> 01:11:25,879 Speaker 1: who get truly sick and need to be in the hospital, 1271 01:11:26,200 --> 01:11:28,800 Speaker 1: most of whom are elderly, not members of the workforce. 1272 01:11:29,280 --> 01:11:32,680 Speaker 1: We can take on this virus and still okay, run 1273 01:11:32,760 --> 01:11:35,639 Speaker 1: this country. Now, you guys are taken over my show. 1274 01:11:35,840 --> 01:11:38,080 Speaker 1: I wanted to people call in and ask our experts. 1275 01:11:38,160 --> 01:11:42,559 Speaker 1: Let's go. We will start with John and North Carolina. John, 1276 01:11:42,600 --> 01:11:45,800 Speaker 1: you're on with doctor Brian McDonough and Betsy McCoy. How 1277 01:11:45,800 --> 01:11:49,639 Speaker 1: are you good? Good? If I go out shopping somewhere 1278 01:11:49,640 --> 01:11:52,200 Speaker 1: and I don't have any cure, I'll bring glass. I'll 1279 01:11:52,200 --> 01:11:54,519 Speaker 1: start with me. Can I spree my hands with it 1280 01:11:54,560 --> 01:11:57,439 Speaker 1: in the work plus any attackages it come to my 1281 01:11:57,520 --> 01:12:01,400 Speaker 1: house and mail I spread with lass on rights things. 1282 01:12:02,040 --> 01:12:04,400 Speaker 1: Here's what I think I can take. The big thing 1283 01:12:04,520 --> 01:12:07,519 Speaker 1: is washing your hands with soap has been shown even 1284 01:12:07,600 --> 01:12:10,160 Speaker 1: better than purell or anything else. So the minute you 1285 01:12:10,200 --> 01:12:14,160 Speaker 1: get home from shopping, wash your hands, wash them carefully. 1286 01:12:14,280 --> 01:12:16,439 Speaker 1: You know, seeing Happy Birthday twice, we've all gone over that. 1287 01:12:16,720 --> 01:12:19,640 Speaker 1: As far as packages, you then take the packages and 1288 01:12:19,720 --> 01:12:22,720 Speaker 1: you throw them away, taking out the food on a 1289 01:12:22,760 --> 01:12:25,519 Speaker 1: certain counter. You then go back and wash your hands again, 1290 01:12:26,040 --> 01:12:28,960 Speaker 1: move your food to another counter, and clean the other counter. 1291 01:12:29,400 --> 01:12:32,639 Speaker 1: The virus is very stubborn. So those types of methods, 1292 01:12:32,680 --> 01:12:35,519 Speaker 1: even though it seems tedious, are your best friend. And 1293 01:12:35,560 --> 01:12:37,560 Speaker 1: I think that's what we're doing when I'm shopping, and 1294 01:12:37,640 --> 01:12:39,040 Speaker 1: that's what I do. I come in and I take 1295 01:12:39,080 --> 01:12:41,360 Speaker 1: those steps, and I think that can really make a 1296 01:12:41,360 --> 01:12:44,080 Speaker 1: big difference for you. And like Sean I know said, 1297 01:12:44,360 --> 01:12:46,840 Speaker 1: you can still get takeout food and things and enjoy 1298 01:12:46,920 --> 01:12:50,120 Speaker 1: those things if you use that kind of approach that see. 1299 01:12:51,000 --> 01:12:53,720 Speaker 1: I certainly second everything doctor Brian said. And I would 1300 01:12:53,760 --> 01:12:59,600 Speaker 1: also underscore that alcohol, a suprobable alcohol, ammonia and chlorox 1301 01:12:59,680 --> 01:13:03,840 Speaker 1: bleep are very good at cleaning the surfaces. Don't go 1302 01:13:03,960 --> 01:13:06,760 Speaker 1: for those green cleaners that are full of vinegar. They 1303 01:13:06,760 --> 01:13:09,080 Speaker 1: do not kill this virus. All right, let's get to 1304 01:13:09,080 --> 01:13:13,080 Speaker 1: another call here if we can. Ronda, Indiana. Hi, Rhonda, 1305 01:13:13,160 --> 01:13:16,360 Speaker 1: you're arm with Brian mcdonnah, doctor mcdonnaugh and Bency McCoy. 1306 01:13:16,960 --> 01:13:20,000 Speaker 1: Hi Sean, I actually just want to give you just 1307 01:13:20,120 --> 01:13:22,960 Speaker 1: a comment, a real quick comment. As I'm watching the 1308 01:13:23,040 --> 01:13:26,240 Speaker 1: virus spread and how contagious it is. I also see 1309 01:13:26,600 --> 01:13:30,719 Speaker 1: in my social media feeds that the fear. The virus 1310 01:13:30,720 --> 01:13:33,800 Speaker 1: of fear is contagious too, and so I just want 1311 01:13:33,840 --> 01:13:36,680 Speaker 1: to encourage my fellow Americans as I would encourage my 1312 01:13:36,760 --> 01:13:41,200 Speaker 1: own sons when they're frightened, that hard times always end. 1313 01:13:42,120 --> 01:13:46,040 Speaker 1: They always end, life will eventually return to normal, and 1314 01:13:46,200 --> 01:13:50,200 Speaker 1: hard times always bring us some treasures. I am watching 1315 01:13:50,240 --> 01:13:53,679 Speaker 1: my fellow Americans step up to the plate in amazing ways. 1316 01:13:53,720 --> 01:13:56,920 Speaker 1: I went to africa Are yesterday for supplies to buy 1317 01:13:57,280 --> 01:14:00,280 Speaker 1: to make masks, and they're running out of supplies because 1318 01:14:00,280 --> 01:14:03,439 Speaker 1: so many people are getting behind our sewing machines and 1319 01:14:03,560 --> 01:14:08,080 Speaker 1: making masks to give away. I'm seeing people that in 1320 01:14:08,120 --> 01:14:11,439 Speaker 1: my news feeds just expressing so much gratitude for the 1321 01:14:11,479 --> 01:14:14,639 Speaker 1: American worker that is usually unseen, the people who are 1322 01:14:15,000 --> 01:14:17,400 Speaker 1: hauling these goods night and day, the people who are 1323 01:14:17,439 --> 01:14:21,040 Speaker 1: stocking the shelf, still dealing with the public and our 1324 01:14:21,080 --> 01:14:25,840 Speaker 1: healthcare workers. Unbelievable. They were amazing, And we can go 1325 01:14:25,880 --> 01:14:27,920 Speaker 1: on and on only because I have a break, Ronda. 1326 01:14:28,120 --> 01:14:30,920 Speaker 1: That is what I love when I see the best 1327 01:14:30,960 --> 01:14:34,320 Speaker 1: in America. That's the vast majority. Then you got your horders, 1328 01:14:34,680 --> 01:14:37,680 Speaker 1: and you got your price gougers, and then you got Congress, 1329 01:14:38,080 --> 01:14:41,160 Speaker 1: you know, putting it you know, I mean, the way 1330 01:14:41,200 --> 01:14:46,080 Speaker 1: they've acted is unconscionable this week. All right, stay here, 1331 01:14:46,160 --> 01:14:49,240 Speaker 1: stay with us more. Brian McDonagh, doctor mcdonah, Betsy McCoy 1332 01:14:49,280 --> 01:14:54,320 Speaker 1: will take more calls until the Coronavirus Task Force and 1333 01:14:54,400 --> 01:14:56,720 Speaker 1: the President speak again, which may happen in the next 1334 01:14:56,720 --> 01:14:58,360 Speaker 1: half hour. If not, we're just going to take your calls. 1335 01:14:58,400 --> 01:15:01,519 Speaker 1: Eight hundred and nine for one. Shawn is number. All right, 1336 01:15:01,560 --> 01:15:04,840 Speaker 1: continue with our experts, Doctor Brian McDonald, Betsy McCoy. We 1337 01:15:04,880 --> 01:15:07,160 Speaker 1: have time for one more called Clay Florida. Clay, how 1338 01:15:07,200 --> 01:15:10,760 Speaker 1: are you us? And say hi to doctor McDonough and 1339 01:15:10,800 --> 01:15:15,760 Speaker 1: Betsy McCoy. Hey guys, you're a great American Sean. Thank you, sir, 1340 01:15:15,920 --> 01:15:18,320 Speaker 1: God bless you want. I just wanted to say I've 1341 01:15:18,320 --> 01:15:21,599 Speaker 1: taken cloric when for years on and off going down 1342 01:15:21,640 --> 01:15:25,479 Speaker 1: to Haiti now absolutely other than maybe an upset stomach, 1343 01:15:25,680 --> 01:15:29,479 Speaker 1: never ever ever had any side effects. I don't know 1344 01:15:29,520 --> 01:15:32,120 Speaker 1: if the doctors have ever interviewed people that have taken it, 1345 01:15:33,200 --> 01:15:35,679 Speaker 1: sure over the years that I would take it tomorrow 1346 01:15:35,800 --> 01:15:38,040 Speaker 1: if someone that you need it, just take it for 1347 01:15:38,080 --> 01:15:41,639 Speaker 1: a month. What do you think, doctor McDonough. Excellent safety 1348 01:15:41,680 --> 01:15:44,640 Speaker 1: profile and it's something that I think if we need 1349 01:15:44,680 --> 01:15:46,880 Speaker 1: to go in that direction, that's one of the things 1350 01:15:46,920 --> 01:15:49,040 Speaker 1: that's nice about that we know about it. Well, we 1351 01:15:49,080 --> 01:15:52,240 Speaker 1: are going in that direction. Yeah, I mean I think, yeah, 1352 01:15:52,280 --> 01:15:54,400 Speaker 1: I agree. I think you're right, Sean. I think that 1353 01:15:54,400 --> 01:15:55,840 Speaker 1: that's where a lot of the reports are going a 1354 01:15:55,880 --> 01:15:57,640 Speaker 1: lot of the doctors in the ICU and things. So 1355 01:15:57,720 --> 01:16:01,040 Speaker 1: I think the opportunity to have those pills and use 1356 01:16:01,080 --> 01:16:03,200 Speaker 1: them in those selex situations is going to be good, 1357 01:16:03,200 --> 01:16:06,839 Speaker 1: and it's something you know, that provides hope. I believe, Betsy. 1358 01:16:07,240 --> 01:16:10,040 Speaker 1: I agree. In fact, we'll have more data in just 1359 01:16:10,120 --> 01:16:13,360 Speaker 1: a few days because the President has delivered a large 1360 01:16:13,360 --> 01:16:16,559 Speaker 1: supply of doses to New York City and they are 1361 01:16:16,600 --> 01:16:21,639 Speaker 1: being applied right now. There's an official clinical trial, albeit 1362 01:16:21,720 --> 01:16:23,760 Speaker 1: not right, it's going on in New York now. It 1363 01:16:23,840 --> 01:16:27,519 Speaker 1: started tuesday. You're right, that's right, and then everyone should 1364 01:16:27,560 --> 01:16:31,280 Speaker 1: feel confident. But I read the study coming out of Marseilles, France, 1365 01:16:31,439 --> 01:16:35,360 Speaker 1: and after six days, all of the patients treated with 1366 01:16:35,600 --> 01:16:42,160 Speaker 1: the zipac and the hydro hydroxyl quinn flor Quinn. Yeah, 1367 01:16:42,160 --> 01:16:45,200 Speaker 1: I messed it up a time or two. Two free right, Yeah, 1368 01:16:45,240 --> 01:16:48,840 Speaker 1: all right, guys, thank you. We really appreciate your expertise. 1369 01:16:49,880 --> 01:16:51,559 Speaker 1: All right, what a week it's been so far. When 1370 01:16:51,600 --> 01:16:53,000 Speaker 1: we come back, I'll tell you what we'll do. We'll 1371 01:16:53,000 --> 01:16:55,719 Speaker 1: just take calls next to half hour eight hundred nine one, Sean, 1372 01:16:55,760 --> 01:16:57,040 Speaker 1: if you want to be a part of the program, 1373 01:16:57,080 --> 01:17:02,960 Speaker 1: Doctor Oz tonight, the latest on the coronavirus, what we're doing, 1374 01:17:03,400 --> 01:17:07,000 Speaker 1: the media mob, How corrupt they are. I mean, it's despicable. 1375 01:17:07,160 --> 01:17:10,080 Speaker 1: Joe Biden is a mess. I mean, he's fallen apart. 1376 01:17:10,120 --> 01:17:13,200 Speaker 1: They can't even do the podcast any longer. Straight ahead, 1377 01:17:13,560 --> 01:17:15,320 Speaker 1: all right, twenty five now until the top of the hour. 1378 01:17:15,400 --> 01:17:17,479 Speaker 1: Eight hundred and nine one. Sean is our number, two 1379 01:17:17,560 --> 01:17:21,920 Speaker 1: hundred and twenty one days till election day, barely talking 1380 01:17:21,960 --> 01:17:26,880 Speaker 1: about it. Right. It has been a disaster for Joe 1381 01:17:26,920 --> 01:17:31,720 Speaker 1: Biden all week. Frankly, his whole campaign. I don't know 1382 01:17:31,880 --> 01:17:34,479 Speaker 1: much about this, but I can tell you that if 1383 01:17:34,479 --> 01:17:39,439 Speaker 1: this was about any Republican, if this was about Donald Trump, 1384 01:17:40,000 --> 01:17:44,320 Speaker 1: any Republican congressman, any Republican senator, just think what they 1385 01:17:44,360 --> 01:17:46,520 Speaker 1: did to Cavanaugh. That's all you really need to understand. 1386 01:17:47,360 --> 01:17:50,080 Speaker 1: And when you think things can't get worse for Biden, 1387 01:17:50,120 --> 01:17:55,080 Speaker 1: he's now been hit with a significant serious sexual assault allegation, 1388 01:17:56,080 --> 01:17:59,439 Speaker 1: and we're not talking about his usual hair sniffing and 1389 01:17:59,720 --> 01:18:03,040 Speaker 1: neck nuzzling and shoulder rubbing, which is creepy in and 1390 01:18:03,080 --> 01:18:06,680 Speaker 1: of itself. A woman has now come forward saying that 1391 01:18:06,800 --> 01:18:10,000 Speaker 1: Joe Biden grabbed her private parts and tried to force 1392 01:18:10,280 --> 01:18:15,439 Speaker 1: himself on her. Former Vice President Biden's campaign on Friday 1393 01:18:15,520 --> 01:18:20,040 Speaker 1: denying this allegation of sexual assault. It was leveled by 1394 01:18:20,080 --> 01:18:23,920 Speaker 1: a former Senate staffer of his, calling the claim concerning 1395 01:18:23,960 --> 01:18:28,000 Speaker 1: and purported incident decades ago false. Women have a right 1396 01:18:28,040 --> 01:18:31,000 Speaker 1: to tell their story. Reporters have an obligation to rigorously 1397 01:18:31,120 --> 01:18:34,639 Speaker 1: vet those claims. Oh that's interesting, You mean the way 1398 01:18:34,680 --> 01:18:40,479 Speaker 1: they did Kavanaugh? Really, because I don't remember any due 1399 01:18:40,520 --> 01:18:43,559 Speaker 1: process or presumption of innocence in that case at all. 1400 01:18:44,400 --> 01:18:48,200 Speaker 1: We encourage them to do so, because these allegations are false. 1401 01:18:48,760 --> 01:18:53,840 Speaker 1: Kate Bettingfield, deputy campaign manager communications director for the Biden campaign, 1402 01:18:54,840 --> 01:18:57,960 Speaker 1: in a statement given to Fox News. The allegations leveled 1403 01:18:58,680 --> 01:19:02,160 Speaker 1: by a woman named tar Read and a parent supporter 1404 01:19:02,200 --> 01:19:06,200 Speaker 1: of Biden's primary rival, Bernie Sanders, said that she was 1405 01:19:06,240 --> 01:19:09,120 Speaker 1: a staff assistant for Biden nineteen ninety three when he 1406 01:19:09,200 --> 01:19:12,240 Speaker 1: was in the Senate She claimed that she was asked 1407 01:19:12,240 --> 01:19:15,479 Speaker 1: by a more senior member of Biden's staff to bring 1408 01:19:15,520 --> 01:19:18,519 Speaker 1: the then senator his jim bag near the Capitol Building, 1409 01:19:18,560 --> 01:19:22,240 Speaker 1: which led to the encounter in question. He greeted me, 1410 01:19:22,360 --> 01:19:25,600 Speaker 1: he remembered my name. Then we were alone. It was 1411 01:19:25,640 --> 01:19:29,800 Speaker 1: the strangest thing there was like well, no, there was, 1412 01:19:30,800 --> 01:19:33,760 Speaker 1: there was no like exchange. He just had me up 1413 01:19:33,800 --> 01:19:36,320 Speaker 1: against the wall. She continued. His hands were on me 1414 01:19:36,360 --> 01:19:39,760 Speaker 1: and underneath my clothes. He went down my skirt and 1415 01:19:39,960 --> 01:19:43,519 Speaker 1: up inside and he beep beep, and he was kissing 1416 01:19:43,520 --> 01:19:46,400 Speaker 1: me at the same time, and he was saying some 1417 01:19:46,479 --> 01:19:49,240 Speaker 1: things to me. She claimed that Biden first after she 1418 01:19:49,320 --> 01:19:53,240 Speaker 1: wanted to go somewhere else, I pulled away. He got 1419 01:19:53,280 --> 01:19:56,679 Speaker 1: finished doing what he was doing. He said, come on, man, 1420 01:19:56,760 --> 01:19:59,759 Speaker 1: I heard you like me. She said she felt everything 1421 01:20:00,040 --> 01:20:02,519 Speaker 1: added in that moment. Went on to allege that Biden 1422 01:20:03,200 --> 01:20:05,920 Speaker 1: looked at her and said, you're nothing to me. She 1423 01:20:06,000 --> 01:20:08,360 Speaker 1: said she attempted to share her story last year. No 1424 01:20:08,360 --> 01:20:10,400 Speaker 1: one listened to her. She said, if people want to 1425 01:20:10,439 --> 01:20:14,080 Speaker 1: know why women don't come forward, that's a good example 1426 01:20:14,120 --> 01:20:18,280 Speaker 1: of why. Mary Ann Baker, former executive assistant to then 1427 01:20:18,280 --> 01:20:21,200 Speaker 1: Senator Biden, rejected the allegations and a statement she put 1428 01:20:21,200 --> 01:20:28,040 Speaker 1: out she added, these clearly false allegations. You know, will 1429 01:20:28,080 --> 01:20:31,160 Speaker 1: they medium mob look into this. They will the way 1430 01:20:31,200 --> 01:20:35,360 Speaker 1: they would if it was Donald Trump. You know the 1431 01:20:35,400 --> 01:20:39,680 Speaker 1: answer to that. Democratic strategists, though this was in the 1432 01:20:39,800 --> 01:20:43,959 Speaker 1: Hill or growing increasingly concerned as they watched the president's 1433 01:20:44,000 --> 01:20:47,840 Speaker 1: approval rating sore because of his leadership or in the 1434 01:20:47,920 --> 01:20:52,400 Speaker 1: coronavirus crisis and Joe Biden. I mean, it has been 1435 01:20:52,520 --> 01:20:56,679 Speaker 1: one disaster after another. I mean he starts off doing these, 1436 01:20:57,120 --> 01:21:00,280 Speaker 1: you know, his own little press briefings. Now you know, 1437 01:21:00,680 --> 01:21:02,880 Speaker 1: thousands and thousands. I don't know how what the actual 1438 01:21:02,960 --> 01:21:06,440 Speaker 1: number is. People do podcasting all the time, video podcasting, 1439 01:21:06,560 --> 01:21:10,840 Speaker 1: radio podcasting. Not that hard, not that complicated. You know 1440 01:21:10,920 --> 01:21:13,599 Speaker 1: that they start out it takes hours that hours late 1441 01:21:13,640 --> 01:21:17,520 Speaker 1: for it. He's weirdly holding the phone in the one instance, 1442 01:21:18,240 --> 01:21:21,400 Speaker 1: I mean, just bad, and then he forgets he's on camera, 1443 01:21:21,800 --> 01:21:25,880 Speaker 1: walks off camera answering a question. He's incoherent time and 1444 01:21:25,960 --> 01:21:28,680 Speaker 1: time again. Yesterday he had four separate gaps. We all 1445 01:21:28,800 --> 01:21:33,960 Speaker 1: these truths, etc. Etc. That's on top of the previous 1446 01:21:34,000 --> 01:21:36,080 Speaker 1: We hold these truths to be self evident that all 1447 01:21:36,160 --> 01:21:38,760 Speaker 1: men and women are created equal. We all are these 1448 01:21:38,760 --> 01:21:43,479 Speaker 1: truths to be self evident, a created go you know 1449 01:21:43,560 --> 01:21:51,280 Speaker 1: the the you know, bumbling, stumbling, confused, confounded. It's a 1450 01:21:51,320 --> 01:21:56,760 Speaker 1: fair question. Does one have the strength, the stamina, the 1451 01:21:56,880 --> 01:22:00,519 Speaker 1: mental alertness, mental toughness for the hardest job in the world. 1452 01:22:01,479 --> 01:22:04,440 Speaker 1: A lot of people have been speculating all week Andrew 1453 01:22:04,680 --> 01:22:11,559 Speaker 1: Cuomo is positioning himself to be available. Okay, how are 1454 01:22:11,560 --> 01:22:14,439 Speaker 1: they going to pull that one off? That'll be interesting 1455 01:22:14,479 --> 01:22:19,439 Speaker 1: to watch if they tried. Now it's also been I mean, 1456 01:22:20,240 --> 01:22:22,040 Speaker 1: let's just go through some of the highlights. This is 1457 01:22:22,120 --> 01:22:25,080 Speaker 1: Joe Biden's week. Let's listen. And what we have done 1458 01:22:25,360 --> 01:22:27,519 Speaker 1: is the reason why most of the world has repaired 1459 01:22:27,560 --> 01:22:31,479 Speaker 1: to us, particularly after World War Two, is because of 1460 01:22:31,640 --> 01:22:35,559 Speaker 1: who we are as a nation. We the people, we 1461 01:22:35,720 --> 01:22:40,240 Speaker 1: hold these truths, etc. Sounds corny, but it's real. If 1462 01:22:40,240 --> 01:22:42,800 Speaker 1: we were setting up an education system for the first 1463 01:22:42,840 --> 01:22:45,479 Speaker 1: time in our history, as we did at the turn 1464 01:22:45,520 --> 01:22:48,320 Speaker 1: of the last in the late eighteen hundreds, we would 1465 01:22:48,360 --> 01:22:52,120 Speaker 1: not say twelve years was enough. Twelve years is not 1466 01:22:52,360 --> 01:22:57,559 Speaker 1: enough to live In the second quarter of the middle 1467 01:22:57,640 --> 01:23:00,519 Speaker 1: of the twenty first century, none of the want to 1468 01:23:01,320 --> 01:23:04,400 Speaker 1: be cooped up in our homes, just as the weather 1469 01:23:04,520 --> 01:23:08,479 Speaker 1: is turning nice, just as spring break travel plans were approaching, 1470 01:23:08,680 --> 01:23:11,360 Speaker 1: just as the campaign for the presidency is kicking into 1471 01:23:11,439 --> 01:23:14,479 Speaker 1: high gear. It's unfair to all of us, and it's 1472 01:23:14,600 --> 01:23:18,519 Speaker 1: unnecessary for all of us, but it's necessary. In fact, 1473 01:23:18,960 --> 01:23:20,920 Speaker 1: it's necessary for all of us to have to deal 1474 01:23:20,960 --> 01:23:23,479 Speaker 1: with it, and so there's a lot we can do. 1475 01:23:23,560 --> 01:23:27,280 Speaker 1: But you know, I when I left the United States Senate, 1476 01:23:27,360 --> 01:23:31,360 Speaker 1: I became a professor at the University of Pennsylvania, and 1477 01:23:32,240 --> 01:23:34,439 Speaker 1: I've spent a lot of time And the University of 1478 01:23:34,479 --> 01:23:37,080 Speaker 1: Delaware has the Biden School there as well, so I 1479 01:23:37,120 --> 01:23:39,400 Speaker 1: spent a lot of time on campus with college students. 1480 01:23:39,800 --> 01:23:43,040 Speaker 1: Have you been tested for the coronavirus? No? I have 1481 01:23:43,160 --> 01:23:46,760 Speaker 1: not been tested for the coronavirus. I've had, thank god, 1482 01:23:46,840 --> 01:23:49,160 Speaker 1: no symptoms that I am aware of. Doesn't mean that 1483 01:23:49,160 --> 01:23:52,440 Speaker 1: that can't happen for the next round of primary including 1484 01:23:53,520 --> 01:23:57,080 Speaker 1: I've not talked to any individual. Excuse me, I you 1485 01:23:57,120 --> 01:23:59,599 Speaker 1: know you're supposed to cough into your elbow. I don't know, sir. 1486 01:24:00,080 --> 01:24:03,920 Speaker 1: I learned that actually covering your White House, you know. Actually, 1487 01:24:04,040 --> 01:24:06,320 Speaker 1: actually that's true. But fortunately I'm alone in my home. 1488 01:24:06,320 --> 01:24:08,720 Speaker 1: But that's okay, Vice President, about and thank you so 1489 01:24:08,800 --> 01:24:12,000 Speaker 1: much for your time. Please stay healthy, for keeping businesses shut. 1490 01:24:12,479 --> 01:24:15,160 Speaker 1: We have to take care of the cure that will 1491 01:24:15,200 --> 01:24:18,400 Speaker 1: make the problem worse no matter what. And what is 1492 01:24:18,439 --> 01:24:20,400 Speaker 1: it like to be a candidate in the time of 1493 01:24:20,479 --> 01:24:24,639 Speaker 1: social distance. I think, well, I'm I'm doing fine, thank you, 1494 01:24:24,880 --> 01:24:27,080 Speaker 1: and I think we've been public, but first time in 1495 01:24:27,160 --> 01:24:31,760 Speaker 1: this crisis. Ioke earlier he's talking, and I tell you what, 1496 01:24:31,920 --> 01:24:35,040 Speaker 1: I'm so darn proud. And those poor people who have 1497 01:24:36,840 --> 01:24:41,960 Speaker 1: lost you know, anyway, it's just my heart goes out there. No, no, no, 1498 01:24:42,040 --> 01:24:45,040 Speaker 1: listen to make a choice about who leads this country. 1499 01:24:45,200 --> 01:24:47,439 Speaker 1: I just I just can't figure the guy. It's like, 1500 01:24:47,920 --> 01:24:50,280 Speaker 1: I don't know, it's like watching a yo. Yo. I 1501 01:24:50,280 --> 01:24:52,320 Speaker 1: shouldn't have said it that way, it's like watching him 1502 01:24:52,400 --> 01:24:57,360 Speaker 1: that way. I want to ask you, I want it's 1503 01:24:57,400 --> 01:25:01,400 Speaker 1: okay about the reporting in the near employd to home 1504 01:25:01,439 --> 01:25:05,719 Speaker 1: alone with children. Why doesn't he just act like a president. 1505 01:25:07,040 --> 01:25:14,439 Speaker 1: That's a stupor way to say, sorry, go ahead, no, no, 1506 01:25:15,040 --> 01:25:22,800 Speaker 1: probably best they don't. That all happened this week. That's 1507 01:25:22,800 --> 01:25:26,599 Speaker 1: how scary this is. Uh, he's probably by the way, 1508 01:25:26,680 --> 01:25:29,240 Speaker 1: he's not gonna have to explain, by the way, lame 1509 01:25:29,320 --> 01:25:32,040 Speaker 1: the Washington Post for covering this, why they did not 1510 01:25:32,160 --> 01:25:35,799 Speaker 1: replenish in the old Biden bomba years as he says, 1511 01:25:36,439 --> 01:25:40,880 Speaker 1: the N one h one as he says, why didn't 1512 01:25:40,880 --> 01:25:45,479 Speaker 1: they replenish those medical supplies? They didn't do it. I mean, 1513 01:25:46,040 --> 01:25:49,840 Speaker 1: nearly everything in his campaign is upside down, including fund 1514 01:25:49,960 --> 01:25:54,840 Speaker 1: Oh he's trying to fundraise off coronavirus. Unbelievable. You know, 1515 01:25:54,920 --> 01:26:00,080 Speaker 1: he's literally now I don't even know what to say. 1516 01:26:00,280 --> 01:26:04,439 Speaker 1: His Virtual Happy live stream attracted two thousand, eight hundred viewers. 1517 01:26:05,360 --> 01:26:08,720 Speaker 1: That's it. Biden wearing a Philly his cap and away 1518 01:26:09,000 --> 01:26:11,760 Speaker 1: quote to be able to sleep with my wife. This 1519 01:26:11,880 --> 01:26:16,000 Speaker 1: is Joe Biden. This is one week of mishaps. Now 1520 01:26:16,000 --> 01:26:20,400 Speaker 1: you got a staffer sexual assault charge one. I has 1521 01:26:20,479 --> 01:26:24,519 Speaker 1: to wonder where that came from. HM. I don't think 1522 01:26:24,520 --> 01:26:27,200 Speaker 1: Republicans are paying that much attention to Joe Biden, to you, 1523 01:26:28,840 --> 01:26:31,920 Speaker 1: uh anyway, let's get to our busy telephones here. Let's 1524 01:26:32,000 --> 01:26:34,680 Speaker 1: say hi to Mark is Oh in the mob. In 1525 01:26:34,720 --> 01:26:38,280 Speaker 1: the media, they don't want to cover Donald Trump's daily 1526 01:26:38,520 --> 01:26:42,360 Speaker 1: coronavirus UH task Force updates. I wonder why why do 1527 01:26:42,400 --> 01:26:45,479 Speaker 1: you think that is? Because They don't want the president 1528 01:26:45,520 --> 01:26:48,800 Speaker 1: to be seen as leading. They don't like how successful 1529 01:26:48,800 --> 01:26:51,840 Speaker 1: he is. Let's go to Mark and Detroit. Mark, Hi, 1530 01:26:51,960 --> 01:26:54,720 Speaker 1: how are you glad you called? Sir? Hey, how are 1531 01:26:54,720 --> 01:27:00,160 Speaker 1: you doing? I'm good? How are you? I'm except our 1532 01:27:00,160 --> 01:27:04,360 Speaker 1: governor she's pretty damn lousing. You are so right about 1533 01:27:04,360 --> 01:27:07,759 Speaker 1: the media not covering and when he's on Fox News, 1534 01:27:07,800 --> 01:27:11,679 Speaker 1: of course we're watching it intensely. And there's one thing 1535 01:27:11,720 --> 01:27:14,360 Speaker 1: that I noticed in the last press conference about two 1536 01:27:14,400 --> 01:27:19,240 Speaker 1: days ago. I have never seen a president divulge information 1537 01:27:19,680 --> 01:27:22,439 Speaker 1: valuable to the American public the way he did. He 1538 01:27:22,560 --> 01:27:26,960 Speaker 1: was talking about France and about about free trade and 1539 01:27:27,040 --> 01:27:30,040 Speaker 1: some of our allies are our worst ones when it 1540 01:27:30,080 --> 01:27:33,120 Speaker 1: comes to the trade envelops. And when he mentioned the 1541 01:27:33,200 --> 01:27:36,920 Speaker 1: ventilators and they purposely changed parts in the ventilators so 1542 01:27:36,960 --> 01:27:40,639 Speaker 1: that we can trade to them. And I think to myself, 1543 01:27:40,960 --> 01:27:43,960 Speaker 1: I've never voted in the media, I've never heard it 1544 01:27:44,040 --> 01:27:48,360 Speaker 1: from a politician a president, but we hear it from 1545 01:27:48,360 --> 01:27:52,599 Speaker 1: that man because he's honest, he's laser sharp, and he's 1546 01:27:52,760 --> 01:27:57,799 Speaker 1: one for the people. It's just mind mouggling. All these 1547 01:27:57,880 --> 01:28:01,400 Speaker 1: countries took advantage of us, and we let them and 1548 01:28:01,479 --> 01:28:07,479 Speaker 1: nobody challenge them until now and it's paying off. That 1549 01:28:07,600 --> 01:28:10,080 Speaker 1: shocked me too. I had not known that either. That's 1550 01:28:10,080 --> 01:28:13,400 Speaker 1: a good catch, Mark, really good catch, Detroit. We need you. 1551 01:28:13,439 --> 01:28:16,759 Speaker 1: By the way, the Defense Act, the President did invoke 1552 01:28:16,840 --> 01:28:20,719 Speaker 1: it for GM. Hey, get moving, he said, start making 1553 01:28:21,360 --> 01:28:24,479 Speaker 1: the ventilators. Now that they didn't do it quick enough. 1554 01:28:24,920 --> 01:28:29,120 Speaker 1: Now it's happening all right. Back to our phones, Larry 1555 01:28:29,160 --> 01:28:31,920 Speaker 1: and Florida. Hey, Larry, how are you? And we're glad 1556 01:28:31,920 --> 01:28:34,960 Speaker 1: you called, sir. Thank you, sir, and thanks for all 1557 01:28:35,000 --> 01:28:37,519 Speaker 1: you're doing that. I really appreciate. Well, thank you up 1558 01:28:37,520 --> 01:28:40,120 Speaker 1: on things through you. You know, it strikes me that 1559 01:28:40,280 --> 01:28:45,240 Speaker 1: governors seemed to be inserting themselves between doctors and patients 1560 01:28:45,280 --> 01:28:49,960 Speaker 1: in spite of legislation that Trump put in place the 1561 01:28:50,080 --> 01:28:52,880 Speaker 1: right to try. And specifically what I'm talking about is 1562 01:28:53,760 --> 01:28:59,080 Speaker 1: the Nevada governor as well as Cuomo, have banned use 1563 01:28:59,200 --> 01:29:03,080 Speaker 1: of things like hydroxy chloroquin and as it thremisn and 1564 01:29:03,120 --> 01:29:07,439 Speaker 1: I know that you even have mentioned hydroxychloroquin is being 1565 01:29:07,560 --> 01:29:10,200 Speaker 1: used in trials in New York. But that's it. That's 1566 01:29:10,200 --> 01:29:13,599 Speaker 1: the limit. Oh, by the way, and that those doses 1567 01:29:13,600 --> 01:29:16,680 Speaker 1: of hydroxy chloroquin came from Donald Trump. Just like the 1568 01:29:16,720 --> 01:29:19,360 Speaker 1: five hospitals that are being built in New York, Donald Trump. 1569 01:29:19,439 --> 01:29:22,599 Speaker 1: Just like the Navy hospital ship that will be there leaving, 1570 01:29:22,880 --> 01:29:27,519 Speaker 1: it'll be in New York har but Monday, Donald Trump. Yeah. Well, 1571 01:29:27,560 --> 01:29:30,280 Speaker 1: I have more thanks than I could ever say to 1572 01:29:30,320 --> 01:29:33,599 Speaker 1: Donald Trump. But my my question is how can governors 1573 01:29:33,760 --> 01:29:38,559 Speaker 1: insert themselves between the doctor and the patient, even with 1574 01:29:38,680 --> 01:29:42,400 Speaker 1: right to try out there they're they're saying, no, you 1575 01:29:42,520 --> 01:29:45,920 Speaker 1: don't have the right to try, shutting it down. I've 1576 01:29:45,960 --> 01:29:49,559 Speaker 1: actually been working with doctors. I won't mention who to 1577 01:29:49,760 --> 01:29:54,679 Speaker 1: try and considering you know, there are people that want 1578 01:29:54,720 --> 01:29:58,200 Speaker 1: to try this and doctors that believe in it and 1579 01:29:58,280 --> 01:30:00,880 Speaker 1: all the anecdotal eleven is I'm working with them to 1580 01:30:00,920 --> 01:30:04,120 Speaker 1: try and help them procure that which they would want 1581 01:30:04,160 --> 01:30:08,240 Speaker 1: to prescribe to their patients. I would take it and 1582 01:30:08,360 --> 01:30:11,920 Speaker 1: two seconds flat, there's my answer. But I don't. I'm 1583 01:30:11,920 --> 01:30:14,360 Speaker 1: not a doctor. I don't everything. And listen, I know 1584 01:30:14,400 --> 01:30:18,479 Speaker 1: more about viruses, more about hydroxy chloroquin than I never 1585 01:30:18,520 --> 01:30:21,479 Speaker 1: thought i'd know in my life, and more about this 1586 01:30:21,600 --> 01:30:24,640 Speaker 1: virus after all my reading. I would take it in 1587 01:30:24,720 --> 01:30:26,640 Speaker 1: a heartbeat, and to say to the people in New 1588 01:30:26,720 --> 01:30:30,439 Speaker 1: York and the people in Nevada. No, I'm going to 1589 01:30:30,520 --> 01:30:32,840 Speaker 1: dispense it. Sorry, that's just not the way it works. 1590 01:30:33,800 --> 01:30:37,920 Speaker 1: I'm offended by it, to be honest. Anyway, good call Larry. 1591 01:30:37,920 --> 01:30:40,599 Speaker 1: That's such a good point. I will tell you the 1592 01:30:40,600 --> 01:30:45,960 Speaker 1: thing that again, we've seen such greatness corporations. I can't 1593 01:30:46,000 --> 01:30:50,160 Speaker 1: list them all. We've seen greatness and goodness and compassion 1594 01:30:50,360 --> 01:30:53,400 Speaker 1: and all hands on deck. That's the vast majority of 1595 01:30:53,400 --> 01:30:56,360 Speaker 1: our country. Then you see the worst in people. Then 1596 01:30:56,400 --> 01:31:01,120 Speaker 1: you see the hoarders, the price gougers. Then you see, oh, 1597 01:31:01,160 --> 01:31:05,320 Speaker 1: the hoarders and price gougers. You know, I never thought 1598 01:31:05,400 --> 01:31:10,120 Speaker 1: it's so repulsive and disgusting and despicable what democrats have 1599 01:31:10,200 --> 01:31:14,000 Speaker 1: Now they've held up money desperately needed for hospitals, for 1600 01:31:14,160 --> 01:31:19,320 Speaker 1: hospital workers, for displaced out of work Americans, or no 1601 01:31:19,400 --> 01:31:24,519 Speaker 1: fault of their own, for small businesses hurt badly been 1602 01:31:24,560 --> 01:31:27,280 Speaker 1: going through this crap for seventy five million dollars for 1603 01:31:27,360 --> 01:31:31,840 Speaker 1: the Corporation for Public Broadcasting an MPR, and seventy five 1604 01:31:31,920 --> 01:31:34,799 Speaker 1: million for the National Endowments for the Arts, another seventy 1605 01:31:34,800 --> 01:31:38,960 Speaker 1: five million National Endowment for the Humanities, another fifty million 1606 01:31:39,040 --> 01:31:43,799 Speaker 1: Institute of Museum and Library services, the Kennedy Center twenty 1607 01:31:43,800 --> 01:31:48,839 Speaker 1: five million bucks, the National Oceanic and Atmospheric Administration twenty million, 1608 01:31:48,920 --> 01:31:52,120 Speaker 1: Legal Services Corps fifty million. Oh, they even gave the 1609 01:31:52,160 --> 01:31:54,639 Speaker 1: Irs two hundred and fifty million to come after us 1610 01:31:55,200 --> 01:31:59,120 Speaker 1: when it's time and money for themselves. It's just disgusting. 1611 01:32:00,240 --> 01:32:03,559 Speaker 1: It's despicable. And you compare that to the President. You 1612 01:32:03,560 --> 01:32:07,120 Speaker 1: get orders, you know, Cuomo weights, you know, tens and 1613 01:32:07,240 --> 01:32:11,400 Speaker 1: tens and tens of billions of dollars, has no preparation 1614 01:32:11,479 --> 01:32:14,839 Speaker 1: whatever I demand, forty thirty thousand of these. The President 1615 01:32:14,880 --> 01:32:18,760 Speaker 1: has given him five hospitals, all the hydrochloroqu when you 1616 01:32:18,760 --> 01:32:22,240 Speaker 1: can want. He's given him every single thing they've asked for. 1617 01:32:23,560 --> 01:32:27,439 Speaker 1: And wow, he's so authoritative. And we're gonna learn from this. Yeah, 1618 01:32:27,439 --> 01:32:31,280 Speaker 1: we're learning from it, Andrew, because Donald Trump broke the model. 1619 01:32:32,160 --> 01:32:34,840 Speaker 1: And rewrote the book on how to deal with pandemics. 1620 01:32:35,520 --> 01:32:38,240 Speaker 1: And you sit there complaining, having done nothing in three 1621 01:32:38,360 --> 01:32:40,880 Speaker 1: terms to prepare for the worst, knowing that New York 1622 01:32:41,320 --> 01:32:44,320 Speaker 1: would be the most impacted by a pandemic, and New 1623 01:32:44,400 --> 01:32:47,320 Speaker 1: York is the number one terror target in the country. 1624 01:32:47,360 --> 01:32:50,920 Speaker 1: It's pathetic anyway, eight hundred nine four one shown. We 1625 01:32:51,000 --> 01:32:53,080 Speaker 1: got an amazing Hannity tonight, nine Eastern. I hope you'll 1626 01:32:53,160 --> 01:32:55,759 Speaker 1: join us, no days off where we are all hands 1627 01:32:55,800 --> 01:32:57,439 Speaker 1: on deck till we get through this. That's gonna get 1628 01:32:57,560 --> 01:32:59,920 Speaker 1: rough for a couple more weeks, and it's gonna leve 1629 01:33:00,280 --> 01:33:03,720 Speaker 1: and our hope is the pattern continues and then we 1630 01:33:03,320 --> 01:33:08,639 Speaker 1: will start getting back to normal. All right, amazing Hannday 1631 01:33:08,680 --> 01:33:11,360 Speaker 1: tonight at nine. It's been a rough week. We'll see 1632 01:33:11,400 --> 01:33:13,680 Speaker 1: you then back here Monday. Thanks for being with us.