1 00:00:00,680 --> 00:00:04,960 Speaker 1: Fernie is out, even though he is well ostensibly tied 2 00:00:05,040 --> 00:00:07,920 Speaker 1: according to the latest polling, is still a two man race. 3 00:00:08,080 --> 00:00:12,120 Speaker 1: And well, oh and Cuomo supporters want Biden to tap 4 00:00:12,200 --> 00:00:15,520 Speaker 1: him for VP. Okay, we have so much news. It 5 00:00:15,560 --> 00:00:18,640 Speaker 1: gets so worse when you get down into the nitty 6 00:00:18,680 --> 00:00:22,880 Speaker 1: gritty of how awful New York handled all of this. 7 00:00:23,280 --> 00:00:25,720 Speaker 1: Just as you know, if they're lucky to add Donald 8 00:00:25,720 --> 00:00:28,600 Speaker 1: Trump to bail him out anyway, glad you with US 9 00:00:28,600 --> 00:00:30,760 Speaker 1: eight hundred and ninety four one sewn if you want 10 00:00:30,760 --> 00:00:33,040 Speaker 1: to be a part of this extravaganza. You know this 11 00:00:33,159 --> 00:00:36,239 Speaker 1: is pretty arrogant here we have We now have a 12 00:00:36,280 --> 00:00:39,000 Speaker 1: study at a great Britain shows ninety five of this 13 00:00:39,080 --> 00:00:44,040 Speaker 1: pandemic could have been prevented had China not, you know, 14 00:00:44,800 --> 00:00:47,920 Speaker 1: not have been hiding this from the entire world with 15 00:00:47,960 --> 00:00:52,960 Speaker 1: the help of the WHO, because even in January they 16 00:00:53,000 --> 00:00:58,160 Speaker 1: were they were just spewing Chinese government propaganda. And so 17 00:00:58,200 --> 00:01:00,960 Speaker 1: the President rightly yesterday says now we're going to put 18 00:01:01,000 --> 00:01:04,000 Speaker 1: a hold on World Health Organization funding, echoed that last 19 00:01:04,080 --> 00:01:07,000 Speaker 1: night in an interview with me on Hannity un Fox News. 20 00:01:07,840 --> 00:01:11,920 Speaker 1: And you know, it's like so much else with the 21 00:01:12,080 --> 00:01:17,119 Speaker 1: UN and all of these organizations that we fund. Look, 22 00:01:17,120 --> 00:01:19,920 Speaker 1: we fund NATO, we fund the overwhelming majority of it. 23 00:01:20,560 --> 00:01:23,400 Speaker 1: We're not the greatest beneficiary or the ones in greater 24 00:01:23,560 --> 00:01:26,600 Speaker 1: need for NATO and all these other countries. They'd never 25 00:01:26,680 --> 00:01:29,319 Speaker 1: reached what their quote is supposed to be. And finally 26 00:01:29,319 --> 00:01:33,840 Speaker 1: this president calls them out. The World Health Organization, you know, 27 00:01:33,880 --> 00:01:39,240 Speaker 1: as the President called the China centric saying that their projections, 28 00:01:39,240 --> 00:01:42,520 Speaker 1: their pronouncements, what they said was what the Chinese government 29 00:01:42,600 --> 00:01:47,560 Speaker 1: wanted them to say, and it's and the entire world suffers. 30 00:01:48,040 --> 00:01:49,760 Speaker 1: Now the presidents saying, you know what, why are we 31 00:01:49,800 --> 00:01:53,600 Speaker 1: wasting all of this money on an organization that is 32 00:01:53,640 --> 00:01:58,480 Speaker 1: not about telling us the truth? Congress already authorized Get this, 33 00:01:58,560 --> 00:02:02,080 Speaker 1: it's one hundred and twenty two million dollars for the 34 00:02:02,280 --> 00:02:06,800 Speaker 1: WHO this fiscal year, one hundred and twenty two million. 35 00:02:07,480 --> 00:02:10,120 Speaker 1: It's just like, how much do we fund the UN? 36 00:02:10,480 --> 00:02:15,960 Speaker 1: How many years have we seen anti Americanism, anti Semitism 37 00:02:15,960 --> 00:02:19,320 Speaker 1: at the United Nations? And why do we fund this? 38 00:02:19,840 --> 00:02:21,720 Speaker 1: Why do we pay for this? Now you've got the 39 00:02:21,840 --> 00:02:27,240 Speaker 1: arrogance comes out where you have the former director, you know, 40 00:02:27,960 --> 00:02:30,200 Speaker 1: saying in an interview, Hey, if you don't want more 41 00:02:30,320 --> 00:02:34,200 Speaker 1: body bags. You should reframe from politicizing it. You guys 42 00:02:34,240 --> 00:02:37,160 Speaker 1: politicize it by lying to the world and contributing to 43 00:02:37,200 --> 00:02:40,120 Speaker 1: the lies to the world. There's no need to use 44 00:02:40,280 --> 00:02:44,679 Speaker 1: COVID to score political points. Now we're getting lectured by 45 00:02:44,800 --> 00:02:48,320 Speaker 1: the World Health Organization that was telling us nothing but 46 00:02:48,480 --> 00:02:51,560 Speaker 1: lies we need to behave now that that's how we 47 00:02:51,600 --> 00:02:53,760 Speaker 1: will defeat this virus. Not want any help from you 48 00:02:54,639 --> 00:02:58,359 Speaker 1: or anybody else over there. It's just pretty pathetic. And 49 00:02:58,440 --> 00:03:01,960 Speaker 1: now they're attention has been gotten because the major forces 50 00:03:02,520 --> 00:03:08,080 Speaker 1: source of their funding is now in jeopardy. It's unbelievable. Look, 51 00:03:08,440 --> 00:03:10,200 Speaker 1: let me tell you where we are here. If you 52 00:03:10,240 --> 00:03:13,760 Speaker 1: look at the numbers, and I think Anthony Fauci is 53 00:03:14,080 --> 00:03:17,240 Speaker 1: probably right on target everything that we've been thinking. If 54 00:03:17,280 --> 00:03:22,560 Speaker 1: patterns hold, they seem to be holding. And unfortunately, and 55 00:03:22,800 --> 00:03:27,120 Speaker 1: even Governor Cuomo pointed out here, the deaths that we're seeing, 56 00:03:27,160 --> 00:03:32,480 Speaker 1: for example in New York are lagging indicator that all 57 00:03:32,520 --> 00:03:35,960 Speaker 1: of the efforts that have been put forward. Fourth in 58 00:03:36,080 --> 00:03:38,960 Speaker 1: terms of listen, without this travel ban or the president, 59 00:03:39,000 --> 00:03:40,800 Speaker 1: I keep going back to it, nobody else wants to 60 00:03:40,800 --> 00:03:43,160 Speaker 1: give the guy credit for anything. But without that travel 61 00:03:43,200 --> 00:03:48,760 Speaker 1: band subsequent travel band's quarantines. This would have been exponentially 62 00:03:48,920 --> 00:03:53,440 Speaker 1: far worse than anyone can even imagine. But with that said, 63 00:03:53,680 --> 00:03:56,280 Speaker 1: the deaths Cuomo was right today seemed to be the 64 00:03:56,360 --> 00:04:00,320 Speaker 1: lagging indicator as you then begin to level off, and 65 00:04:00,400 --> 00:04:05,680 Speaker 1: we have, for example, as of yesterday, we have five 66 00:04:06,120 --> 00:04:09,160 Speaker 1: and eighty six new hospitalizations, but that's down from six 67 00:04:09,240 --> 00:04:11,800 Speaker 1: hundred and fifty six the day before. That's the leveling, 68 00:04:12,480 --> 00:04:16,840 Speaker 1: hopefully before patterns holding, of course, a precipitous drop in 69 00:04:17,240 --> 00:04:22,200 Speaker 1: new COVID nineteen positive tests. So the number of hospitalizations 70 00:04:22,320 --> 00:04:27,680 Speaker 1: leveling off and now going down, flags in state will 71 00:04:27,720 --> 00:04:30,720 Speaker 1: be blown at half masse. He said, some anecdotal information 72 00:04:30,800 --> 00:04:34,640 Speaker 1: some hospitals and now releasing patients more patients than they're 73 00:04:34,680 --> 00:04:41,679 Speaker 1: bringing in the fear of not having the hospital capacity, respirators, gowns. 74 00:04:41,800 --> 00:04:44,359 Speaker 1: All of that did not materialize in New York the 75 00:04:44,400 --> 00:04:46,240 Speaker 1: way we thought it would. Nobody likes to hear it 76 00:04:46,240 --> 00:04:50,239 Speaker 1: about anybody dying, you know, I know that. For example, 77 00:04:50,240 --> 00:04:52,400 Speaker 1: there's been a lot of talk who said what during 78 00:04:52,440 --> 00:04:56,080 Speaker 1: what part of the timeline, when and where. But even 79 00:04:56,120 --> 00:04:59,400 Speaker 1: on March second, Andrew Cuomo was telling New York excuse 80 00:04:59,480 --> 00:05:02,159 Speaker 1: our against as New Yorkers, I speak for the mayor 81 00:05:02,240 --> 00:05:04,839 Speaker 1: also on this one, we think we have the best 82 00:05:04,880 --> 00:05:08,039 Speaker 1: health care system on the planet right here in New York. 83 00:05:09,120 --> 00:05:13,200 Speaker 1: Governor Cuomo said that March second. So when you're saying 84 00:05:13,240 --> 00:05:16,599 Speaker 1: what happened in other countries versus what happened here, we 85 00:05:16,720 --> 00:05:19,080 Speaker 1: don't think it's gonna be as bad as it was 86 00:05:19,120 --> 00:05:23,119 Speaker 1: in other countries. Well, that turned out to be way off, 87 00:05:23,279 --> 00:05:25,640 Speaker 1: pretty late in the game. March second. He was saying 88 00:05:25,640 --> 00:05:29,760 Speaker 1: all of that, and a very different New York exists today. 89 00:05:31,560 --> 00:05:35,839 Speaker 1: Is criticism in that front where that if New York 90 00:05:35,839 --> 00:05:39,320 Speaker 1: had acted sooner, we have a former CDC chief saying 91 00:05:39,640 --> 00:05:41,960 Speaker 1: the death toll could have been reduced by fifty to 92 00:05:42,080 --> 00:05:45,400 Speaker 1: eighty percent. Doctor Thomas Frieden, former head of Center for 93 00:05:45,520 --> 00:05:49,120 Speaker 1: Disease Control and Prevention, estimated in a new report that 94 00:05:49,160 --> 00:05:52,000 Speaker 1: if New York adopted a stay at home order sooner 95 00:05:52,480 --> 00:05:55,080 Speaker 1: they did this out in California with Gavin Newsom, the 96 00:05:55,160 --> 00:05:57,720 Speaker 1: state's death toll could have been reduced by fifty to 97 00:05:57,920 --> 00:06:01,000 Speaker 1: eighty percent. Flew has come down, and then you saw 98 00:06:01,040 --> 00:06:04,080 Speaker 1: this new ominous spike, and it was COVID and it 99 00:06:04,120 --> 00:06:07,640 Speaker 1: was spreading wildly in New York City before anyone knew it. 100 00:06:08,080 --> 00:06:11,120 Speaker 1: And you go back again, how is it possible that 101 00:06:11,279 --> 00:06:15,039 Speaker 1: all of the warning signs were given repeatedly and we 102 00:06:15,160 --> 00:06:17,400 Speaker 1: now have another case. There was a warning back in 103 00:06:17,440 --> 00:06:19,560 Speaker 1: two thousand and six for the City of New York. 104 00:06:19,600 --> 00:06:22,400 Speaker 1: Mayor Bloomberg at least did a little bit. They said 105 00:06:22,480 --> 00:06:25,840 Speaker 1: they would be short nine thousand, five hundred ventilators if 106 00:06:25,839 --> 00:06:28,520 Speaker 1: there was any kind of pandemic, which, by the way, 107 00:06:28,520 --> 00:06:32,680 Speaker 1: the Health Task Force in twenty fifteen said, is a foreseeable, 108 00:06:32,960 --> 00:06:37,520 Speaker 1: real threat, one that we should prepare for. If we're 109 00:06:37,600 --> 00:06:41,360 Speaker 1: talking about ventilators, you're short fifteen thousand and seven hundred 110 00:06:41,360 --> 00:06:44,680 Speaker 1: and eighty three. How many did Cuomo buy? None? Why 111 00:06:44,720 --> 00:06:48,599 Speaker 1: would I buy ventilators? Because you can predict these things 112 00:06:48,600 --> 00:06:52,960 Speaker 1: are happening. That's what foreseeable pandemic, It's going to happen anyway. 113 00:06:52,960 --> 00:06:57,560 Speaker 1: At least then Mayor Bloomberg bought five hundred. Now unfortunately 114 00:06:57,640 --> 00:07:00,240 Speaker 1: they didn't maintain them, and then they auctioned off the 115 00:07:00,240 --> 00:07:02,640 Speaker 1: five hundred ventilators in New York. I mean, you can't 116 00:07:02,680 --> 00:07:05,159 Speaker 1: make this stuff up. Then you look at all the waste, 117 00:07:05,160 --> 00:07:08,799 Speaker 1: fraud and abuse and the hundreds of millions of dollars 118 00:07:08,800 --> 00:07:12,080 Speaker 1: that are being wasted. It just it it's so painful. 119 00:07:12,720 --> 00:07:15,320 Speaker 1: You know what the great Thomas painsay, Government in its 120 00:07:15,360 --> 00:07:17,880 Speaker 1: best case, but a necessary evil. Its worst case, an 121 00:07:17,880 --> 00:07:22,800 Speaker 1: intolerable one. Anyway, Fauci is now on Fox this morning 122 00:07:22,840 --> 00:07:25,360 Speaker 1: saying he expects the US will begin to turn the 123 00:07:25,440 --> 00:07:30,600 Speaker 1: corner on the coronavirus pandemic sometime next week. And he said, 124 00:07:30,600 --> 00:07:33,320 Speaker 1: but after this week, he had the US should see 125 00:07:33,400 --> 00:07:36,440 Speaker 1: the beginning of a turnaround. That's what we have seen 126 00:07:36,520 --> 00:07:40,000 Speaker 1: in other countries. That's what we're hoping desperately for happens 127 00:07:40,080 --> 00:07:43,920 Speaker 1: here and happens as quickly as possible. That then brings 128 00:07:44,480 --> 00:07:47,400 Speaker 1: us to the point of, Okay, how do we reopen 129 00:07:47,480 --> 00:07:50,920 Speaker 1: the country? How do we get this economy back up 130 00:07:50,960 --> 00:07:54,360 Speaker 1: and running? I can tell you right now, second quarter numbers, 131 00:07:54,400 --> 00:07:59,280 Speaker 1: GDP numbers, unemployment numbers. Just as at different points during 132 00:07:59,400 --> 00:08:02,600 Speaker 1: this christ and pandemic, when we hear the death toll 133 00:08:02,680 --> 00:08:06,240 Speaker 1: and those contracting the virus, and the number watch that 134 00:08:06,400 --> 00:08:09,200 Speaker 1: has been scrolling on TV for weeks and weeks. Now 135 00:08:09,640 --> 00:08:11,840 Speaker 1: you're going to see numbers we have not seen since 136 00:08:11,880 --> 00:08:14,640 Speaker 1: the Great Depression. That's what it's going to be now, 137 00:08:14,640 --> 00:08:20,160 Speaker 1: The question is we cannot afford to stay on this level, 138 00:08:20,400 --> 00:08:24,320 Speaker 1: on that ground any longer and expect the economy as 139 00:08:24,360 --> 00:08:29,920 Speaker 1: any opportunity to ever recover. Americans want to work, Americans 140 00:08:29,920 --> 00:08:32,640 Speaker 1: are dying to get back to work, and the economy, 141 00:08:32,920 --> 00:08:37,679 Speaker 1: our system, our economic system, is all based on this. Now, 142 00:08:37,760 --> 00:08:39,559 Speaker 1: I think there's going to be, you know, a lot 143 00:08:39,600 --> 00:08:43,440 Speaker 1: of different challenges, especially in say a city like New York. 144 00:08:43,840 --> 00:08:46,560 Speaker 1: You have the smallest geographical area, you have the largest 145 00:08:46,600 --> 00:08:50,800 Speaker 1: population of people, eleven million people, very small island. The 146 00:08:51,160 --> 00:08:54,440 Speaker 1: odds of a rebound, which, by the way, rebound, the 147 00:08:54,480 --> 00:08:58,560 Speaker 1: odds of that, to be honest, it's it's it's not. 148 00:08:59,000 --> 00:09:02,200 Speaker 1: It's not if it's when you will have rebounds, you 149 00:09:02,240 --> 00:09:05,559 Speaker 1: will have hotspots that pop up here, there, and everywhere. 150 00:09:05,559 --> 00:09:08,400 Speaker 1: We got to be prepared. How do we deal with that? Now? 151 00:09:08,520 --> 00:09:10,520 Speaker 1: One of the things that we've got to consider before 152 00:09:10,520 --> 00:09:12,720 Speaker 1: all these guys in Washington now want to come up 153 00:09:12,720 --> 00:09:16,280 Speaker 1: with Phase four and another one trillion for this, another 154 00:09:16,280 --> 00:09:18,360 Speaker 1: two trillion for that. And I'm saying, wait a minute, 155 00:09:18,360 --> 00:09:21,160 Speaker 1: we just spend two point two trillion. We just spend 156 00:09:21,160 --> 00:09:24,800 Speaker 1: four trillion opening up loans for the FED and guaranteeing 157 00:09:24,840 --> 00:09:27,840 Speaker 1: the fed the ability to loan money as a bridge 158 00:09:27,880 --> 00:09:31,320 Speaker 1: to businesses that need it in the hopes that we 159 00:09:31,400 --> 00:09:34,079 Speaker 1: can get up and running as quickly as possible. Okay, 160 00:09:34,080 --> 00:09:36,480 Speaker 1: how do you thread that needle? Well, it's not going 161 00:09:36,559 --> 00:09:39,880 Speaker 1: to be hard. In certain geographical areas, it might mean 162 00:09:40,120 --> 00:09:43,400 Speaker 1: life as we knew it prior to COVID nineteen changes. 163 00:09:43,880 --> 00:09:47,520 Speaker 1: Probably elbowing will replace handshakes that would not surprise me. 164 00:09:48,000 --> 00:09:50,520 Speaker 1: People wearing gloves out in public, and mass out in 165 00:09:50,600 --> 00:09:53,440 Speaker 1: public until all of this passes completely, that would not 166 00:09:53,520 --> 00:09:57,120 Speaker 1: surprise me either. But certain geographical areas that have not 167 00:09:57,240 --> 00:10:01,040 Speaker 1: been hit particularly hard, they can open up. But of 168 00:10:01,080 --> 00:10:03,560 Speaker 1: course we all have to be careful, and you can't 169 00:10:03,640 --> 00:10:05,960 Speaker 1: let the doctors. I mean, there will be some doctors 170 00:10:05,960 --> 00:10:08,800 Speaker 1: that say, well, no, if we shut down the Ezekiel 171 00:10:08,800 --> 00:10:11,520 Speaker 1: Emmanuel is saying this. You know, we shut things down 172 00:10:11,559 --> 00:10:13,760 Speaker 1: for a good twelve months, eighteen months until we get 173 00:10:13,760 --> 00:10:17,440 Speaker 1: the vaccine. America won't be America if we don't open 174 00:10:17,559 --> 00:10:21,920 Speaker 1: up before then. Now, so geographically, those decisions should be 175 00:10:21,920 --> 00:10:27,480 Speaker 1: fairly straightforward and fairly easy social distancing. There'll be a reset. 176 00:10:27,760 --> 00:10:33,680 Speaker 1: No handshakes, elbowing, more purel more gloves, more mass likely cities. Well, 177 00:10:33,720 --> 00:10:37,240 Speaker 1: it gets more challenging now you have to balance a 178 00:10:37,240 --> 00:10:40,000 Speaker 1: lot of different factors here. You have to balance the 179 00:10:40,080 --> 00:10:44,520 Speaker 1: issue of yes, civil and constitutional rights of individuals. You 180 00:10:44,640 --> 00:10:48,440 Speaker 1: have to balance the health, safety and security of others. 181 00:10:49,480 --> 00:10:51,560 Speaker 1: How does a city like New York open. Well, I 182 00:10:51,559 --> 00:10:53,199 Speaker 1: think one of the things is you're going to probably 183 00:10:53,320 --> 00:10:56,839 Speaker 1: keep a lot of people tell out working, working from home, 184 00:10:57,280 --> 00:10:59,839 Speaker 1: so you have less concentration in the work area. That 185 00:11:00,000 --> 00:11:03,000 Speaker 1: it's part of it. Certainly, as these new tests have 186 00:11:03,080 --> 00:11:05,720 Speaker 1: now been brought on board, we got to mass produce them. 187 00:11:05,960 --> 00:11:09,079 Speaker 1: For example, an antibody test. If you have an antibody 188 00:11:09,080 --> 00:11:11,920 Speaker 1: you're not going to contract the virus again if you 189 00:11:12,800 --> 00:11:16,400 Speaker 1: or temperature checks like when I went to the un 190 00:11:17,040 --> 00:11:19,480 Speaker 1: when I went to the comfort the hospital Navy ship, 191 00:11:19,880 --> 00:11:22,040 Speaker 1: I had my temperature taken. They didn't even touch me. 192 00:11:22,080 --> 00:11:24,280 Speaker 1: They just put it right in front of my forehead. 193 00:11:24,679 --> 00:11:27,800 Speaker 1: Will people getting into big buildings might have their temperatures 194 00:11:27,880 --> 00:11:29,600 Speaker 1: checked in if they have a high temperature, they might 195 00:11:29,640 --> 00:11:31,560 Speaker 1: be sent to the hospital to get it checked out, 196 00:11:31,640 --> 00:11:33,760 Speaker 1: or sent to a testing center. Now that we have 197 00:11:33,840 --> 00:11:36,920 Speaker 1: five minute testing, now that we have antibody testing, I 198 00:11:36,960 --> 00:11:41,320 Speaker 1: think the key, especially in a highly concentrated area of people, 199 00:11:41,880 --> 00:11:45,480 Speaker 1: small geographic area like New York. That is going to 200 00:11:45,520 --> 00:11:47,600 Speaker 1: have to be part of the solution. But it's got 201 00:11:47,600 --> 00:11:50,040 Speaker 1: to be done in a way that is not going 202 00:11:50,080 --> 00:11:53,720 Speaker 1: to be some big government database. You have to protect 203 00:11:53,720 --> 00:11:57,280 Speaker 1: patient privacy. You have to encourage people to do the 204 00:11:57,400 --> 00:12:00,400 Speaker 1: right thing. If they've been in contact with anybody leading 205 00:12:00,480 --> 00:12:03,200 Speaker 1: up to a point where they get a positive COVID 206 00:12:03,320 --> 00:12:08,080 Speaker 1: nineteen diagnosis, that they would be kind enough to reach 207 00:12:08,120 --> 00:12:11,120 Speaker 1: out to those other people. But how fast can we 208 00:12:11,160 --> 00:12:15,880 Speaker 1: do it? Well, Look, today's April eighth, okay, thirty days 209 00:12:15,880 --> 00:12:18,640 Speaker 1: in April. May first is coming. What are we going 210 00:12:18,679 --> 00:12:20,840 Speaker 1: to do on May first? That is going to be 211 00:12:20,880 --> 00:12:24,000 Speaker 1: the big test. I don't think. Look, Art Laugher is 212 00:12:24,040 --> 00:12:29,600 Speaker 1: probably one of the most renowned economists, and he thought 213 00:12:29,640 --> 00:12:33,080 Speaker 1: that the two point two trillion wouldn't be necessary. I 214 00:12:33,120 --> 00:12:35,520 Speaker 1: think the American people wanted to make sure that those 215 00:12:35,559 --> 00:12:40,160 Speaker 1: workers and hospital workers and small businesses were all taken 216 00:12:40,200 --> 00:12:43,040 Speaker 1: care of a made whole, and that, of course followed 217 00:12:43,040 --> 00:12:47,120 Speaker 1: by the business loan availability of cash. The four trillion 218 00:12:47,160 --> 00:12:50,560 Speaker 1: by the Fed freed up. But he's saying that if 219 00:12:50,760 --> 00:12:53,520 Speaker 1: we in fact just had the payroll tax seven hundred 220 00:12:53,520 --> 00:12:56,160 Speaker 1: and fifty billion dollars that in and of itself probably 221 00:12:56,200 --> 00:12:59,080 Speaker 1: would have naturally brought us out. Once we get on 222 00:12:59,080 --> 00:13:01,240 Speaker 1: the other side of the side of this, Look, the 223 00:13:01,360 --> 00:13:03,800 Speaker 1: sooner we get the health site fixed, the more options 224 00:13:03,840 --> 00:13:06,800 Speaker 1: we're gonna have. But there's gonna be creativity. If you 225 00:13:06,880 --> 00:13:09,880 Speaker 1: want to get big cities New York, Chicago, Atlanta, wherever 226 00:13:09,880 --> 00:13:12,400 Speaker 1: you happen to work back up and running and do 227 00:13:12,480 --> 00:13:14,480 Speaker 1: it in a way with the least amount of damage 228 00:13:14,800 --> 00:13:18,160 Speaker 1: and dependency created towards government. You want to be able 229 00:13:18,160 --> 00:13:20,240 Speaker 1: to get back up and running and make it a 230 00:13:20,320 --> 00:13:23,440 Speaker 1: V shaped recovery, an automatic pop up. So the third 231 00:13:23,520 --> 00:13:27,640 Speaker 1: quarter is going to be extraordinarily large and hopeful for 232 00:13:27,679 --> 00:13:31,120 Speaker 1: the American people because we need that. Our entire way 233 00:13:31,320 --> 00:13:37,680 Speaker 1: standard of living is based on that. Sean Hannity Show, 234 00:13:37,679 --> 00:13:39,800 Speaker 1: eight hundred and nine four one, Sean, Look that we've 235 00:13:39,800 --> 00:13:42,000 Speaker 1: got a lot of good news, and there's no good 236 00:13:42,040 --> 00:13:43,720 Speaker 1: news when you're in the middle of a pandemic. So 237 00:13:43,800 --> 00:13:46,640 Speaker 1: let me just set that record straight. But what they 238 00:13:46,640 --> 00:13:51,840 Speaker 1: were predicting in New York in terms of hospital beds needed, 239 00:13:52,720 --> 00:13:56,720 Speaker 1: it's about sixty percent lower than they predicted. The number 240 00:13:56,760 --> 00:14:00,240 Speaker 1: of deaths have now been reduced yet again. And I 241 00:14:00,440 --> 00:14:02,679 Speaker 1: don't even want to go through these numbers here. I mean, 242 00:14:02,760 --> 00:14:05,080 Speaker 1: at one point they said, if we didn't have mitigation efforts, 243 00:14:05,120 --> 00:14:07,600 Speaker 1: if we didn't have social distancing, if we didn't have 244 00:14:09,040 --> 00:14:13,920 Speaker 1: the travel bands and the quarantines and basically shutting down 245 00:14:14,040 --> 00:14:15,880 Speaker 1: most of the country for this period of time, it 246 00:14:15,880 --> 00:14:18,520 Speaker 1: could have been, you know, anyway, over two and a 247 00:14:18,559 --> 00:14:22,160 Speaker 1: half million people in America dying. Then you know, we 248 00:14:22,280 --> 00:14:24,880 Speaker 1: got the scary chart all of this have been going on, 249 00:14:25,040 --> 00:14:26,800 Speaker 1: It still could have been as high as two hundred 250 00:14:26,800 --> 00:14:30,760 Speaker 1: and fifty thousand. Now they keep modeling it down. Then 251 00:14:30,800 --> 00:14:34,360 Speaker 1: we were at ninety four thousand deaths now they're predicted, 252 00:14:34,400 --> 00:14:36,360 Speaker 1: and then it was eighty one thousand deaths. Now it's 253 00:14:36,400 --> 00:14:39,560 Speaker 1: sixty thousand deaths. I just don't think that they'd know 254 00:14:39,840 --> 00:14:44,080 Speaker 1: at this particular point in time. But one of the 255 00:14:44,160 --> 00:14:47,240 Speaker 1: leading coronavirus models, the one that they have been using, 256 00:14:49,040 --> 00:14:51,880 Speaker 1: was predicting, you know, dire things. Now we're seeing in 257 00:14:51,920 --> 00:14:54,440 Speaker 1: New York there's no shortage of ventilators, no shortage of 258 00:14:54,440 --> 00:14:59,840 Speaker 1: medical equipment, no shortage of masks as everybody was concerned about. Okay, 259 00:15:00,160 --> 00:15:04,240 Speaker 1: that's good news when you put it in perspective of 260 00:15:04,320 --> 00:15:05,960 Speaker 1: what we thought it was going to be and what 261 00:15:06,040 --> 00:15:08,600 Speaker 1: it could have been. We want to save as many 262 00:15:08,640 --> 00:15:11,520 Speaker 1: lives as possible. Now, the question is how do we 263 00:15:11,560 --> 00:15:14,520 Speaker 1: reopen the economy. It's going to be fifteen months at 264 00:15:14,640 --> 00:15:17,480 Speaker 1: least till we have a vaccine, even though we broke 265 00:15:17,560 --> 00:15:20,880 Speaker 1: records in terms of sequencing the virus. Okay, it's not 266 00:15:20,880 --> 00:15:23,080 Speaker 1: going to be hard in geographical areas where you don't 267 00:15:23,120 --> 00:15:26,320 Speaker 1: have high concentrations of people. But most of us will 268 00:15:26,360 --> 00:15:29,040 Speaker 1: probably have to accept that the new norm is going 269 00:15:29,080 --> 00:15:33,600 Speaker 1: to be include partly teleworking in cities. It's going to 270 00:15:33,680 --> 00:15:36,920 Speaker 1: be accepting the fact that masks and gloves will be 271 00:15:36,960 --> 00:15:40,120 Speaker 1: a part of life in the near future. Social distancing, 272 00:15:41,320 --> 00:15:46,640 Speaker 1: but there are ways to do it, including temperature taking privately, anonymity, 273 00:15:47,320 --> 00:15:50,640 Speaker 1: and much more. We'll explain antibody testing for example. All Right, 274 00:15:50,720 --> 00:15:52,840 Speaker 1: twenty five till the top of the RII facts without 275 00:15:52,880 --> 00:15:56,800 Speaker 1: fear coming up? How to open the economy sooner than later? 276 00:15:58,560 --> 00:16:01,200 Speaker 1: All right, why are you telling me? Apparently Bernie in 277 00:16:01,240 --> 00:16:04,400 Speaker 1: Missouri is a call. I must go to Bernie in Missouri. 278 00:16:04,480 --> 00:16:08,360 Speaker 1: This Bernie, how are you going? Senator Sanders Here, it's 279 00:16:08,400 --> 00:16:11,040 Speaker 1: a pleasure to speak with you. I'm calling from Rushman Balls, 280 00:16:11,080 --> 00:16:13,840 Speaker 1: Southeast Missouri, and I thought you'd want to hear from 281 00:16:13,840 --> 00:16:16,920 Speaker 1: me and have a Sean Henley exclusive about me dropping 282 00:16:16,920 --> 00:16:19,840 Speaker 1: out the race. It's so significant, and I realize I've 283 00:16:19,880 --> 00:16:22,360 Speaker 1: come into it late in the game. But instead of 284 00:16:22,440 --> 00:16:26,560 Speaker 1: thirty trillion Medicare for all, I'm thinking, how about toilet paper, 285 00:16:26,880 --> 00:16:31,040 Speaker 1: hand sanitizer and Ramen noodles for all. Instead of trillions, 286 00:16:31,040 --> 00:16:33,680 Speaker 1: we're talking millions. And I heard two packs of Raman 287 00:16:33,840 --> 00:16:37,040 Speaker 1: is the luxury in Cuba. Oh my gosh. So now 288 00:16:37,040 --> 00:16:39,760 Speaker 1: you're running on a new platform. In other words, instead 289 00:16:39,760 --> 00:16:42,560 Speaker 1: of Medicare for all, you're doing free, free health, free 290 00:16:42,600 --> 00:16:46,480 Speaker 1: toilet paper, free sanitizer, and paper towels for all. Is 291 00:16:46,480 --> 00:16:51,520 Speaker 1: that what you're saying, toilet paper, masks, you name it everything. 292 00:16:51,560 --> 00:16:54,680 Speaker 1: I haven't been to a Walm model a Target in years, Sean, 293 00:16:54,840 --> 00:16:57,600 Speaker 1: But my understanding is for my sources that you can 294 00:16:57,600 --> 00:17:00,320 Speaker 1: get a five pack of Ramen for a dollar, for 295 00:17:00,440 --> 00:17:02,880 Speaker 1: just a buck, we can feed the American public during 296 00:17:02,880 --> 00:17:05,359 Speaker 1: this time of need. And even though I've left the ratio, 297 00:17:05,400 --> 00:17:07,120 Speaker 1: I'm getting a little old. Maybe I was a bit 298 00:17:07,200 --> 00:17:11,360 Speaker 1: over ambitious with the Medicare for wall. Perhaps miss Quotes 299 00:17:11,440 --> 00:17:13,320 Speaker 1: could take this over. She's a good friend of mine 300 00:17:13,720 --> 00:17:20,359 Speaker 1: and this has worked wonders in Cuba, China, Venezuela, and Denmark. Well, 301 00:17:21,080 --> 00:17:22,600 Speaker 1: I'm sorry you dropped out of the race, but I 302 00:17:22,600 --> 00:17:25,960 Speaker 1: didn't notice that you dropped out. But you're keeping your 303 00:17:25,960 --> 00:17:28,919 Speaker 1: delegates and you're gonna try and influence I guess the 304 00:17:29,160 --> 00:17:34,320 Speaker 1: party platform at your virtual I guess. I don't think 305 00:17:34,359 --> 00:17:37,399 Speaker 1: they're gonna have a regular convention anyway. But anyway, I 306 00:17:37,960 --> 00:17:39,720 Speaker 1: just want you to know something. There is a poll 307 00:17:39,800 --> 00:17:43,119 Speaker 1: that came out today and it shows that you know, 308 00:17:43,160 --> 00:17:45,400 Speaker 1: it's still a two man race, except that it's not you. 309 00:17:45,960 --> 00:17:51,119 Speaker 1: It's it's Andrew Cuomo. Apparently and Cuomo voters lovers in 310 00:17:51,160 --> 00:17:54,520 Speaker 1: New York way to the world learns about Andrew Cuomo. 311 00:17:54,640 --> 00:17:57,280 Speaker 1: I have a lot to tell them. But anyway, I 312 00:17:57,359 --> 00:17:59,639 Speaker 1: expected to get screwed over by the DNC as I 313 00:17:59,640 --> 00:18:02,960 Speaker 1: did my time. Anyway, we know the deal, Sean, all right, 314 00:18:03,000 --> 00:18:06,360 Speaker 1: thank you, Bernie, appreciate it. There is the oddest thing, 315 00:18:06,440 --> 00:18:08,879 Speaker 1: isn't it. I go shopping every weekend. I do. I 316 00:18:08,920 --> 00:18:11,679 Speaker 1: just first I like to get out. Yes, I'm wearing 317 00:18:11,880 --> 00:18:14,399 Speaker 1: I wore gloves. The last time, Linda's like, did you 318 00:18:14,440 --> 00:18:18,879 Speaker 1: wear your gloves? I did, at wore gloves. I couldn't 319 00:18:18,880 --> 00:18:20,920 Speaker 1: figure out how to put the stupid mask on though, 320 00:18:23,359 --> 00:18:27,560 Speaker 1: just it was so complicated, socially distanced from people, I 321 00:18:27,600 --> 00:18:30,679 Speaker 1: just stay at a distance. I'm okay, at least as 322 00:18:30,720 --> 00:18:34,840 Speaker 1: far as I know them. Okay, No, But the thing, 323 00:18:34,920 --> 00:18:38,240 Speaker 1: look to the credit of the grocers, and I know 324 00:18:38,240 --> 00:18:40,959 Speaker 1: there are certain areas that might have had empty shelves 325 00:18:41,000 --> 00:18:43,720 Speaker 1: for a while. But to the credit of the great grocers, 326 00:18:43,720 --> 00:18:45,679 Speaker 1: and this is why the economy has to get up 327 00:18:45,720 --> 00:18:49,120 Speaker 1: and running. They've they've been able to keep the shelves full, 328 00:18:49,400 --> 00:18:54,480 Speaker 1: with the exception of hand sanitizer, toilet paper and paper towels. Now, 329 00:18:54,560 --> 00:18:57,679 Speaker 1: I'm not sure I fully comprehend why it is. Those 330 00:18:57,760 --> 00:19:00,080 Speaker 1: are the items that people go for. Now, from me, 331 00:19:00,280 --> 00:19:03,879 Speaker 1: my item is going to be Campbell's soup, chicken noodle soup, 332 00:19:04,960 --> 00:19:08,359 Speaker 1: or lippt In noodle soup or something that you know, 333 00:19:08,400 --> 00:19:11,080 Speaker 1: you could just get something in your body. I'll take 334 00:19:11,119 --> 00:19:13,560 Speaker 1: anything at that point. But they did have a pretty 335 00:19:13,560 --> 00:19:17,160 Speaker 1: good supply of meat, even fish, and you know, people 336 00:19:17,320 --> 00:19:20,440 Speaker 1: working and you know, look at for example, we're talking 337 00:19:20,440 --> 00:19:22,359 Speaker 1: about opening up the economy and there might be this 338 00:19:22,520 --> 00:19:25,360 Speaker 1: new normal. The new normal might be all right if, 339 00:19:25,600 --> 00:19:29,159 Speaker 1: especially in big cities like New York, you might have 340 00:19:29,200 --> 00:19:31,879 Speaker 1: your temperature taken without them touching. You get the electronic 341 00:19:32,119 --> 00:19:36,800 Speaker 1: temperature taker things, the thermometers, and before you get into building, 342 00:19:36,800 --> 00:19:38,400 Speaker 1: if you have a temperature, you're told to go home 343 00:19:38,480 --> 00:19:42,200 Speaker 1: or go to your doctor and nothing. There's no database 344 00:19:42,280 --> 00:19:45,320 Speaker 1: that I would find acceptable. Some people have been spreading 345 00:19:45,400 --> 00:19:49,120 Speaker 1: conspiracy theories that this is the government's way of tracking 346 00:19:49,119 --> 00:19:51,440 Speaker 1: every American and putting chips in our brain. No, I 347 00:19:51,480 --> 00:19:53,359 Speaker 1: don't think so, and we don't have to do it 348 00:19:53,400 --> 00:19:54,959 Speaker 1: that way. There's no need to do any of this. 349 00:19:56,200 --> 00:20:00,439 Speaker 1: With the antibody tests, you could certainly one you know 350 00:20:00,560 --> 00:20:02,359 Speaker 1: you had this and have been exposed to this and 351 00:20:02,400 --> 00:20:05,280 Speaker 1: built up antibodies to it. You're good to go to 352 00:20:05,400 --> 00:20:09,600 Speaker 1: work after what fourteen days? So our doctors are telling us. 353 00:20:10,240 --> 00:20:12,159 Speaker 1: The other thing is they're now going to have this 354 00:20:12,280 --> 00:20:15,240 Speaker 1: five minute test, and they're doing it at what fifty 355 00:20:15,320 --> 00:20:18,840 Speaker 1: thousand tests a day. If they can bring a lot 356 00:20:18,880 --> 00:20:21,840 Speaker 1: of that testing equipment to a big city, that would 357 00:20:21,880 --> 00:20:26,920 Speaker 1: help opening up some of the bigger, more concentrated areas 358 00:20:26,960 --> 00:20:30,359 Speaker 1: of a city. Like New York. But you know, in 359 00:20:30,400 --> 00:20:32,399 Speaker 1: the meantime, we all like the fact that we're getting 360 00:20:32,400 --> 00:20:35,440 Speaker 1: our toilet paper and our hand sanitizer and our paper 361 00:20:35,480 --> 00:20:38,639 Speaker 1: towels delivered, and our booze apparently sells a booze up 362 00:20:38,680 --> 00:20:42,119 Speaker 1: fifty percent are Tito's is being delivered, and wine or 363 00:20:42,200 --> 00:20:44,920 Speaker 1: beer whatever else you like to drink, and your groceries 364 00:20:45,359 --> 00:20:48,719 Speaker 1: stores are pretty full. Sometimes they've struggled a little bit, 365 00:20:48,720 --> 00:20:51,080 Speaker 1: but they've done a really good job. The only reason 366 00:20:51,240 --> 00:20:54,600 Speaker 1: is because the truckers and the farmers and everyone up 367 00:20:54,600 --> 00:20:57,400 Speaker 1: and down the supply chain have worked night and day 368 00:20:57,400 --> 00:20:59,520 Speaker 1: to make that happen for us. They've all been working. 369 00:21:00,119 --> 00:21:03,199 Speaker 1: They're all essential workers. You know, all these guys that 370 00:21:03,359 --> 00:21:06,000 Speaker 1: I see when I go to the you know, local 371 00:21:06,280 --> 00:21:10,480 Speaker 1: grocery store that are packing the shelves. A lot of them, 372 00:21:10,920 --> 00:21:13,399 Speaker 1: almost all of them now have masks on and gloves on. 373 00:21:13,480 --> 00:21:16,280 Speaker 1: But there there's a certain risk they're putting themselves in 374 00:21:16,359 --> 00:21:19,800 Speaker 1: harm's way. And the people that help at the checkout. 375 00:21:19,800 --> 00:21:22,919 Speaker 1: I always go to the automatic checkout and it goes faster, 376 00:21:23,280 --> 00:21:25,600 Speaker 1: I mean, and something goes b B B baby baby 377 00:21:25,720 --> 00:21:27,399 Speaker 1: dries me nuts. But to get in there and to 378 00:21:27,480 --> 00:21:30,800 Speaker 1: get out usually pretty quick. But they're all they're all 379 00:21:30,840 --> 00:21:34,119 Speaker 1: putting themselves in harm's way, restaurants that are trying to 380 00:21:34,240 --> 00:21:37,359 Speaker 1: keep their employees employed. But you know, maybe at some 381 00:21:37,520 --> 00:21:39,800 Speaker 1: point in a place like New York, you're gonna have 382 00:21:39,840 --> 00:21:43,119 Speaker 1: to reconfigure dining rooms just to get these guys to 383 00:21:43,240 --> 00:21:45,560 Speaker 1: a point where they can maybe break even and hang 384 00:21:45,640 --> 00:21:48,720 Speaker 1: on there for a while. And in other words, where 385 00:21:48,760 --> 00:21:51,480 Speaker 1: you have a distance and have certain rules. You know, 386 00:21:51,680 --> 00:21:53,920 Speaker 1: we've got to start thinking about how we can get 387 00:21:54,000 --> 00:21:59,399 Speaker 1: this done, not violate people's constitutional rights, civil liberties, but 388 00:21:59,680 --> 00:22:02,720 Speaker 1: look out for our fellow man. And maybe that means 389 00:22:02,760 --> 00:22:06,080 Speaker 1: we accept that mass and gloves and are going to 390 00:22:06,160 --> 00:22:08,560 Speaker 1: be a new part of life. Teller, working is going 391 00:22:08,640 --> 00:22:10,040 Speaker 1: to be a new part of life. I think most 392 00:22:10,080 --> 00:22:13,240 Speaker 1: people will enjoy that. I think a lot I've worked 393 00:22:13,280 --> 00:22:15,680 Speaker 1: from home. I love working from home when I get 394 00:22:15,720 --> 00:22:18,600 Speaker 1: to do it. Social distancing, okay, that's going to be 395 00:22:18,680 --> 00:22:21,000 Speaker 1: a part of it, but we've got to have I 396 00:22:21,160 --> 00:22:23,800 Speaker 1: liked the idea too of an economic task force, especially 397 00:22:23,880 --> 00:22:26,240 Speaker 1: when I'm hearing well, we haven't even given out the 398 00:22:26,320 --> 00:22:29,960 Speaker 1: two point two trillion. The projections for New York this week, 399 00:22:30,440 --> 00:22:32,960 Speaker 1: Thank god came in far lower than what they were saying. 400 00:22:33,040 --> 00:22:36,119 Speaker 1: No death is acceptable, but it's coming in much lower 401 00:22:36,160 --> 00:22:39,000 Speaker 1: than what it could have been. The numbers even a week, 402 00:22:39,080 --> 00:22:40,919 Speaker 1: week and a half ago that they were given us. 403 00:22:41,359 --> 00:22:44,280 Speaker 1: Now we're down to about less than a third of it, 404 00:22:44,920 --> 00:22:47,440 Speaker 1: you know, maybe twenty seven percent of what they were saying. 405 00:22:48,080 --> 00:22:51,080 Speaker 1: So that's hope there. That means we can get the 406 00:22:51,119 --> 00:22:54,520 Speaker 1: country up running and open again geographically, as I've been saying, 407 00:22:54,560 --> 00:22:57,720 Speaker 1: we can do it. Why without even getting the two 408 00:22:57,800 --> 00:23:02,000 Speaker 1: point two trillion into the hands of American workers. They 409 00:23:02,080 --> 00:23:06,160 Speaker 1: deserve it, the American people support it, but they haven't 410 00:23:06,200 --> 00:23:08,080 Speaker 1: gotten that money yet. They got to get it as 411 00:23:08,160 --> 00:23:11,080 Speaker 1: fast as possible. I know that there's been some glitches 412 00:23:11,160 --> 00:23:13,640 Speaker 1: in terms of small business owners trying to get these 413 00:23:14,359 --> 00:23:17,760 Speaker 1: loans that have been put aside for them and grants 414 00:23:17,800 --> 00:23:19,520 Speaker 1: that have been put aside for them, and the same 415 00:23:19,600 --> 00:23:21,480 Speaker 1: happens for big business. I think they have a whole 416 00:23:21,520 --> 00:23:28,280 Speaker 1: different process in that particular case. But the paycheck Protection Program, okay, well, 417 00:23:28,640 --> 00:23:31,600 Speaker 1: you know, we have months worth of now moneies to 418 00:23:31,720 --> 00:23:33,720 Speaker 1: work with to take care of those people in need, 419 00:23:34,200 --> 00:23:36,560 Speaker 1: with the hope that at the end of that aid 420 00:23:36,720 --> 00:23:39,800 Speaker 1: we don't need to put any more money towards it. Well, 421 00:23:39,840 --> 00:23:43,320 Speaker 1: now they're already tossing around numbers that are beyond frightening. Again, 422 00:23:43,680 --> 00:23:48,200 Speaker 1: the two point two trillion and four trillion guarantees. That's 423 00:23:48,200 --> 00:23:50,000 Speaker 1: an awful lot of money, and some are saying, well, 424 00:23:50,000 --> 00:23:53,639 Speaker 1: that's only the second inning. Well, how many trillions do 425 00:23:53,720 --> 00:23:56,480 Speaker 1: you think you're going to spend before you begin to 426 00:23:56,600 --> 00:24:00,399 Speaker 1: realize that you've got to have to pay that back someplace, somehow, 427 00:24:00,520 --> 00:24:03,439 Speaker 1: some way. I know Democrats are seeking to pass an 428 00:24:03,440 --> 00:24:08,919 Speaker 1: additional five hundred billion plus expanding food stamps in economic 429 00:24:09,040 --> 00:24:13,280 Speaker 1: relief legislation this week, aren't we. I thought that's what 430 00:24:13,440 --> 00:24:17,119 Speaker 1: the last bill was supposed to do. And we've got 431 00:24:17,200 --> 00:24:20,320 Speaker 1: to now find a way turn our attention without taking 432 00:24:20,359 --> 00:24:23,240 Speaker 1: our eye off the ball, turn our attention how to 433 00:24:23,480 --> 00:24:27,040 Speaker 1: open up the country as expeditiously as we possibly can, 434 00:24:27,160 --> 00:24:32,120 Speaker 1: and also taking into account safety, security, and the health 435 00:24:32,200 --> 00:24:34,760 Speaker 1: of our citizens. There's a balancing act here. Some doctors 436 00:24:34,840 --> 00:24:36,880 Speaker 1: would say, just shut down forever. You can't shut down 437 00:24:36,920 --> 00:24:40,639 Speaker 1: forever number one with the United States of America. And 438 00:24:42,000 --> 00:24:44,440 Speaker 1: if we shut down forever, all of the wealth that 439 00:24:44,520 --> 00:24:47,320 Speaker 1: we have will be gone. There will be you know, 440 00:24:47,560 --> 00:24:50,000 Speaker 1: this will be beyond medicare for all. It will be 441 00:24:50,080 --> 00:24:53,159 Speaker 1: everything for all, and without people producing, there won't be 442 00:24:53,280 --> 00:24:58,959 Speaker 1: any all to redistribute. Not else do we have here? Oh, 443 00:24:59,040 --> 00:25:02,800 Speaker 1: poor Joe's not do wall. Biden describes the phone call 444 00:25:02,920 --> 00:25:05,119 Speaker 1: with Trump. He told him his top items what he 445 00:25:05,240 --> 00:25:08,120 Speaker 1: thinks Trump should be doing, Okay, things that he never 446 00:25:08,280 --> 00:25:11,920 Speaker 1: did during the N one h one issue. I don't 447 00:25:11,920 --> 00:25:13,840 Speaker 1: even know what to say about the media in this 448 00:25:14,000 --> 00:25:18,000 Speaker 1: country except that it's it is so corrupt, so dishonest, 449 00:25:18,720 --> 00:25:22,840 Speaker 1: so out of control. I mean, you have somebody a 450 00:25:22,920 --> 00:25:27,000 Speaker 1: New York controller controller in New York City. I'm sorry 451 00:25:27,040 --> 00:25:29,199 Speaker 1: he lost his eighty six year old mom. And by 452 00:25:29,240 --> 00:25:31,480 Speaker 1: the way, I mean this sincerely. I don't want anyone 453 00:25:31,520 --> 00:25:33,760 Speaker 1: to lose a family member. I've said this many times. 454 00:25:33,800 --> 00:25:36,440 Speaker 1: I want cures for cancer and heart disease. And he 455 00:25:36,520 --> 00:25:39,280 Speaker 1: goes on CNN, Saint Donald Trump has my mom's blood 456 00:25:39,320 --> 00:25:43,800 Speaker 1: on his hands. Okay. Howard Dean says he's boycotting ms 457 00:25:43,920 --> 00:25:47,680 Speaker 1: DNC until the network stops airing Trump pressors in the 458 00:25:47,760 --> 00:25:51,239 Speaker 1: middle of a national emergency, in a pandemic. I mean, 459 00:25:51,280 --> 00:25:54,080 Speaker 1: they can't put it aside for five seconds. People on 460 00:25:54,200 --> 00:25:59,040 Speaker 1: the left. You know another ms DNC contributor claiming the 461 00:25:59,440 --> 00:26:04,080 Speaker 1: Trump crime cult wants to commit mass murder. I'm like, wow, 462 00:26:04,440 --> 00:26:09,520 Speaker 1: it's pretty unbelievable. But how would you not want the 463 00:26:09,600 --> 00:26:13,000 Speaker 1: president to give out valuable information on aid that is coming, 464 00:26:13,119 --> 00:26:17,680 Speaker 1: for example, some facts without fear. We now have the 465 00:26:17,800 --> 00:26:21,080 Speaker 1: Department of Health Human Services. They awarded General Motors a 466 00:26:21,119 --> 00:26:24,520 Speaker 1: four hundred and eighty nine point four million dollar contract 467 00:26:24,600 --> 00:26:27,600 Speaker 1: to make the ventilators. I'm sure at some point where 468 00:26:27,760 --> 00:26:30,359 Speaker 1: we now have enough in New York and New Jersey, 469 00:26:30,960 --> 00:26:34,800 Speaker 1: there's still about nine thousand in the national stockpile. Many 470 00:26:34,880 --> 00:26:38,560 Speaker 1: thanks to California, Oregon, and Washington because they're sending him 471 00:26:38,600 --> 00:26:41,480 Speaker 1: back East because it turns out their mitigation efforts work 472 00:26:41,560 --> 00:26:45,080 Speaker 1: so well they don't need them. The same with masks 473 00:26:45,160 --> 00:26:50,200 Speaker 1: and other things. Leading corona virus model dropped again. As 474 00:26:50,240 --> 00:26:53,119 Speaker 1: I said, I don't want to get into the numbers 475 00:26:53,119 --> 00:26:56,240 Speaker 1: because they're so good compared to what they were. I 476 00:26:56,280 --> 00:26:58,639 Speaker 1: don't want to jinx it. Oh, and the Pope is 477 00:26:58,680 --> 00:27:02,440 Speaker 1: blaming global warming for coronavirus. He said that the coronavirus 478 00:27:02,520 --> 00:27:06,440 Speaker 1: pandemic is one of nature's responses to humans, ignoring the 479 00:27:06,520 --> 00:27:09,880 Speaker 1: current ecological crisis. Okay, I don't have time for that either. 480 00:27:11,560 --> 00:27:14,120 Speaker 1: We have in some other things. We know that top 481 00:27:14,200 --> 00:27:18,080 Speaker 1: Democrats called on the Department of Homeland Security to release 482 00:27:18,240 --> 00:27:23,280 Speaker 1: illegal immigrants to prevent the spread of coronavirus. Okay, we're 483 00:27:23,320 --> 00:27:26,880 Speaker 1: letting prisoners out, illegal immigrants will just be a lawless society. 484 00:27:26,960 --> 00:27:29,520 Speaker 1: I don't think that's the answer to help solving the 485 00:27:29,600 --> 00:27:32,720 Speaker 1: health crisis and the pandemic that we have. We have 486 00:27:33,040 --> 00:27:37,719 Speaker 1: the approval of the coronavirus response well. By the way, 487 00:27:37,760 --> 00:27:41,560 Speaker 1: in one poll, the President does dramatically better than quid 488 00:27:41,600 --> 00:27:46,080 Speaker 1: pro quote Joe, who doesn't particularly seem that alert and 489 00:27:46,200 --> 00:27:50,000 Speaker 1: aware of all that is happening. But anyway, this particular 490 00:27:50,080 --> 00:27:53,480 Speaker 1: pole I saw in the Washington Examiner asked who would 491 00:27:53,480 --> 00:27:57,359 Speaker 1: be a better leader during the coronavirus outbreak, Trump by 492 00:27:57,359 --> 00:28:00,280 Speaker 1: an eight point margin forty four to thirty six to 493 00:28:00,440 --> 00:28:03,760 Speaker 1: Joe Biden. That's interesting. By the way, if you smoke 494 00:28:03,840 --> 00:28:07,040 Speaker 1: marijuana could make your lungs more susceptible to COVID nineteen. 495 00:28:07,200 --> 00:28:11,359 Speaker 1: Just the thought a key. Let's see Boris Johnson spends 496 00:28:11,400 --> 00:28:13,800 Speaker 1: a second night in the ICU oxygen He has not 497 00:28:13,920 --> 00:28:18,359 Speaker 1: been intubated yet. Now Michigan State University is listing the 498 00:28:18,440 --> 00:28:24,440 Speaker 1: acceptable names for the Chinese virus and what is acceptable, like, 499 00:28:24,560 --> 00:28:28,400 Speaker 1: for example, you can't say Wuhan coronavirus. No, you can't 500 00:28:28,520 --> 00:28:33,160 Speaker 1: COVID nineteen. That's acceptable, Not Wuhan coronavirus, not the Chinese virus. 501 00:28:33,720 --> 00:28:36,520 Speaker 1: The school is encouraging all students to sign a pledge 502 00:28:36,720 --> 00:28:42,360 Speaker 1: entitled hate has no Home here. They gave other alternatives stars, 503 00:28:42,560 --> 00:28:48,120 Speaker 1: CEO V two or COVID nineteen names that no other 504 00:28:48,280 --> 00:28:51,880 Speaker 1: names are acceptable. According to them, I will work to 505 00:28:52,000 --> 00:28:56,640 Speaker 1: make sure hate has no home here. University of Texas 506 00:28:56,880 --> 00:29:00,400 Speaker 1: at Austin. The dean argued the term Chinese virus is 507 00:29:00,440 --> 00:29:05,560 Speaker 1: inspiring hateful acts against Asian American students on campus. University 508 00:29:05,600 --> 00:29:09,560 Speaker 1: of Wisconsin administrators condemning a series of anti China chalk 509 00:29:09,720 --> 00:29:14,560 Speaker 1: messages that appeared on campus. University California, telling students it 510 00:29:14,680 --> 00:29:18,160 Speaker 1: is inappropriate for them to use the term Chinese virus 511 00:29:19,560 --> 00:29:23,600 Speaker 1: and doctor Burke's, by the way, China's lack of transparency 512 00:29:23,680 --> 00:29:27,240 Speaker 1: with the who did delay the ability to deal with 513 00:29:27,360 --> 00:29:31,480 Speaker 1: this pandemic. She's right. Representative Pressley is saying the next 514 00:29:31,560 --> 00:29:35,520 Speaker 1: coronavirus stimulus bill should money should go to illegal immigrants, 515 00:29:35,560 --> 00:29:38,640 Speaker 1: the homeless, and to prisoners. I mean, this is what 516 00:29:38,800 --> 00:29:42,360 Speaker 1: Washington does. This is who they are, This defines them. 517 00:29:42,960 --> 00:29:45,800 Speaker 1: And as Donald Trump builds the hospitals and provides all 518 00:29:45,840 --> 00:29:48,160 Speaker 1: the masks and all the gowns and all the gloves 519 00:29:48,280 --> 00:29:50,800 Speaker 1: and all the personnel, even for New York, this is 520 00:29:50,880 --> 00:29:55,120 Speaker 1: what other people are talking about. Italy, Spain, their ICU 521 00:29:55,840 --> 00:30:00,920 Speaker 1: pressures have declined. Good news there, because again you're looking 522 00:30:00,960 --> 00:30:04,400 Speaker 1: for a leveling followed by a dramatic, precipitous decline. That's 523 00:30:04,480 --> 00:30:06,640 Speaker 1: the pattern. We want that pattern to hold here and 524 00:30:06,760 --> 00:30:09,440 Speaker 1: maybe even go more quickly than it has in other places. 525 00:30:11,320 --> 00:30:13,800 Speaker 1: Three and four Americans think Donald Trump should wear a 526 00:30:13,880 --> 00:30:18,720 Speaker 1: protective mask. France suffered their worst day, the world's highest 527 00:30:18,800 --> 00:30:22,719 Speaker 1: daily coronavirus death toll. Even Cuomo I think was right 528 00:30:22,800 --> 00:30:26,480 Speaker 1: in saying that that is a lagging indicator. Unfortunately not 529 00:30:26,600 --> 00:30:30,560 Speaker 1: a good indicator. But it means that you're coming around 530 00:30:30,600 --> 00:30:33,200 Speaker 1: on the other end of it, hopefully through mitigation efforts. 531 00:30:33,720 --> 00:30:35,120 Speaker 1: All right, we have a lot to get to today, 532 00:30:35,160 --> 00:30:38,720 Speaker 1: including doctor Oz. Will check in with him. Bill O'Reilly 533 00:30:38,800 --> 00:30:41,920 Speaker 1: weighs in all things O'Reilly today. All right, we'll get 534 00:30:41,960 --> 00:30:44,760 Speaker 1: to the medical side of what's happening, the latest updates, 535 00:30:44,840 --> 00:30:48,760 Speaker 1: and how do we medically open up the economy, especially 536 00:30:48,880 --> 00:30:52,480 Speaker 1: in a small geographic area like say New York City 537 00:30:53,000 --> 00:30:55,520 Speaker 1: with a high concentration of people, and do it safely 538 00:30:55,840 --> 00:30:59,000 Speaker 1: but still open up the economy, Doctor Oz, Bill O'Reilly 539 00:30:59,080 --> 00:31:02,000 Speaker 1: much more straight ahead? Wait at forty more seconds, my 540 00:31:02,120 --> 00:31:04,760 Speaker 1: clock is off. Sorry, okay, good. So this gives me 541 00:31:04,840 --> 00:31:07,440 Speaker 1: the perfect opportunity to do something, which is what I 542 00:31:07,560 --> 00:31:09,600 Speaker 1: need to send a shout out to Rose tenants today. 543 00:31:10,120 --> 00:31:14,440 Speaker 1: She actually sent us lunch because she's so grateful that 544 00:31:14,520 --> 00:31:16,520 Speaker 1: we're coming in and doing the show in the midst 545 00:31:16,520 --> 00:31:19,760 Speaker 1: of the pandemic. So she sent everybody who's working here 546 00:31:19,800 --> 00:31:21,800 Speaker 1: on the live shows that I buy you guys lunch 547 00:31:21,840 --> 00:31:23,880 Speaker 1: every day. Right, Seriously, can we just say thanks to 548 00:31:24,000 --> 00:31:31,360 Speaker 1: Rose for five sund big shout out Rose, Doctor Rose. 549 00:31:31,480 --> 00:31:34,320 Speaker 1: When we come back, Bill O'Reilly coming up, Charlie Kirk 550 00:31:34,360 --> 00:31:38,400 Speaker 1: stops by as we continue straight ahead? All right, our 551 00:31:38,520 --> 00:31:41,400 Speaker 1: tow Sean Hannity Show right down. Our toll free telephone number, 552 00:31:41,440 --> 00:31:43,600 Speaker 1: it's eight hundred and nine four one, Sean. You want 553 00:31:43,600 --> 00:31:46,400 Speaker 1: to be a part of the program. Uh, we've been 554 00:31:46,480 --> 00:31:52,800 Speaker 1: watching the I am he projections declined precipitously. Remember they 555 00:31:52,880 --> 00:31:56,560 Speaker 1: did lay out a scenario had the United States not 556 00:31:57,080 --> 00:32:00,960 Speaker 1: instituted a travel ban, aft ued states did not have 557 00:32:01,200 --> 00:32:03,560 Speaker 1: multiple travel bands and one after another, and then the 558 00:32:03,680 --> 00:32:08,080 Speaker 1: quarantining followed by the mitigation efforts. They projected that the 559 00:32:08,440 --> 00:32:10,840 Speaker 1: death toll could have been as high as two and 560 00:32:10,880 --> 00:32:16,840 Speaker 1: a half million plus Americans. Scary by any measure, very scary. 561 00:32:17,400 --> 00:32:21,120 Speaker 1: Then they were putting out the charts in the briefing 562 00:32:21,240 --> 00:32:23,640 Speaker 1: room during the task force briefings that they have every day, 563 00:32:23,680 --> 00:32:25,480 Speaker 1: saying it could be as high as two hundred and 564 00:32:25,520 --> 00:32:28,640 Speaker 1: forty to fifty thousand Americans that die. That was only 565 00:32:28,720 --> 00:32:32,800 Speaker 1: a week and a half ago. Yesterday that was below 566 00:32:32,880 --> 00:32:35,080 Speaker 1: one hundred thousand and eighty one thousand. Now they're saying 567 00:32:35,120 --> 00:32:39,200 Speaker 1: just over sixty thousand. I'm not sure if we're there yet, 568 00:32:39,400 --> 00:32:42,120 Speaker 1: and certainly there's a lot more work to do, but 569 00:32:43,840 --> 00:32:47,040 Speaker 1: better than what the earlier projections were by a long shot. 570 00:32:47,720 --> 00:32:51,920 Speaker 1: The number of hospitalizations beds they thought that would be 571 00:32:52,120 --> 00:32:56,360 Speaker 1: needed sixty plus percent below what they had projected. Same 572 00:32:56,440 --> 00:33:01,680 Speaker 1: with ICU beds. Intubation levels are eighty percent less than 573 00:33:01,800 --> 00:33:06,080 Speaker 1: what was projected. Anyway, Now the question is all right, 574 00:33:06,200 --> 00:33:09,160 Speaker 1: so these numbers are better. How do we get America? 575 00:33:09,200 --> 00:33:13,120 Speaker 1: It's April, the eighth May first is coming quickly. How 576 00:33:13,160 --> 00:33:17,600 Speaker 1: do we open the country the economy? In other words, 577 00:33:17,800 --> 00:33:20,000 Speaker 1: get people back to work. The probably going to be 578 00:33:20,040 --> 00:33:24,000 Speaker 1: a lot of changes moving forward. Elbowing will probably replace 579 00:33:24,080 --> 00:33:26,880 Speaker 1: a lot of handshaking. Teleworking will be a new reality 580 00:33:27,720 --> 00:33:32,280 Speaker 1: in small geographic areas with large concentrations of people. I 581 00:33:32,320 --> 00:33:35,120 Speaker 1: would assume masks and gloves will be a part of 582 00:33:35,240 --> 00:33:39,080 Speaker 1: life longer than we really prefer. Social distancing, how do 583 00:33:39,160 --> 00:33:41,200 Speaker 1: you reopen a restaurant in New York City at this 584 00:33:41,280 --> 00:33:45,160 Speaker 1: particular point. Anyway, doctor Oz is with us. First, we'll 585 00:33:45,160 --> 00:33:47,360 Speaker 1: get a medical update on what he's hearing and seeing. 586 00:33:47,520 --> 00:33:50,040 Speaker 1: And you know, I think actually it was a game 587 00:33:50,160 --> 00:33:54,600 Speaker 1: changer doctor Wallace's comments to you about the safety of 588 00:33:54,920 --> 00:33:58,360 Speaker 1: hydroxy chloroquin. I don't hear as many people doctors on 589 00:33:58,480 --> 00:34:00,720 Speaker 1: TV that are hosts that are not doctors saying that 590 00:34:00,840 --> 00:34:03,960 Speaker 1: it's dangerous, it's irresponsible, it's reckless, it's going to kill people. 591 00:34:03,960 --> 00:34:06,920 Speaker 1: I don't hear that anymore. It had an impact, and 592 00:34:07,000 --> 00:34:10,520 Speaker 1: I'm glad that the rheumatologists are coming forward and speaking 593 00:34:10,560 --> 00:34:12,799 Speaker 1: about their experience because they're the ones who have been 594 00:34:12,880 --> 00:34:15,640 Speaker 1: using this medication, and listen, it's one thing to argue 595 00:34:15,640 --> 00:34:18,480 Speaker 1: about whether it works or not. That takes lots of 596 00:34:18,560 --> 00:34:21,920 Speaker 1: clinical trials, lots of efforts, lots of figuring out when 597 00:34:22,000 --> 00:34:24,440 Speaker 1: you give it with the sick patients, of healthy patients, 598 00:34:24,560 --> 00:34:26,960 Speaker 1: you give it with other medications with it. That's all important. 599 00:34:27,000 --> 00:34:29,279 Speaker 1: But if you're fearful that you'll die if you take 600 00:34:29,360 --> 00:34:32,040 Speaker 1: the pill, that has a chilling effect on the discussion 601 00:34:32,120 --> 00:34:34,279 Speaker 1: that doctors have with their patients, and those are the 602 00:34:34,400 --> 00:34:37,320 Speaker 1: kinds of discussions that are most important. So when the 603 00:34:37,600 --> 00:34:41,560 Speaker 1: rumors started that it was incredibly dangerous for diabetics, or 604 00:34:41,640 --> 00:34:44,680 Speaker 1: for blindness, or for cardacre rhythmias, and I started reading 605 00:34:44,680 --> 00:34:48,000 Speaker 1: about it as well, it got concerning. But this guy 606 00:34:48,040 --> 00:34:49,719 Speaker 1: actually where I was talking to him about a whole 607 00:34:49,760 --> 00:34:52,960 Speaker 1: separate idea, which is was he finding any patients with 608 00:34:53,080 --> 00:34:56,239 Speaker 1: COVID nineteen in his practice? Right? That's because he's a rheumatologist. 609 00:34:56,280 --> 00:34:58,160 Speaker 1: He's taking care of these lupa's patients and they're all 610 00:34:58,160 --> 00:35:01,560 Speaker 1: taking hydroxyl clorical. When I was curious, if it's preventing 611 00:35:01,640 --> 00:35:03,600 Speaker 1: them from getting sick, maybe it has a benefit to 612 00:35:03,800 --> 00:35:06,480 Speaker 1: doctors and nurses worked on the front lines, and he said, 613 00:35:06,520 --> 00:35:07,879 Speaker 1: let me interrupt you for a second, and he brought 614 00:35:07,960 --> 00:35:09,439 Speaker 1: up this fact that it was safe. So he wrote 615 00:35:09,480 --> 00:35:11,839 Speaker 1: that letter that you've read kindly here on the show. 616 00:35:12,360 --> 00:35:14,120 Speaker 1: And I think a lot of people woke up to 617 00:35:14,160 --> 00:35:15,960 Speaker 1: the fact that they should talk to people who actually 618 00:35:16,000 --> 00:35:18,080 Speaker 1: prescribe it, and they're saying, you know, we don't even 619 00:35:18,160 --> 00:35:20,040 Speaker 1: have guidelines for it because it's been so safe over 620 00:35:20,080 --> 00:35:23,680 Speaker 1: the last sixty five years of prescribing. Why did the 621 00:35:23,840 --> 00:35:29,000 Speaker 1: CDC remove hydroxy chloroquine from its list of coronavirus treatment options. 622 00:35:30,000 --> 00:35:32,080 Speaker 1: I have no idea. I just saw that before a 623 00:35:32,080 --> 00:35:34,880 Speaker 1: week I came on. I mean, it wasn't like it 624 00:35:35,040 --> 00:35:38,520 Speaker 1: was recommending you gave hydroxy chloroquine. It was just acknowledging 625 00:35:38,600 --> 00:35:40,839 Speaker 1: that it was being prescribed by doctors. But I'm sure 626 00:35:40,880 --> 00:35:43,240 Speaker 1: there's lots of discussions going on behind the scenes about 627 00:35:43,520 --> 00:35:47,600 Speaker 1: the incredible heat on whatever the president says, and for 628 00:35:47,880 --> 00:35:49,040 Speaker 1: you know, I don't know if it should have ever 629 00:35:49,080 --> 00:35:50,680 Speaker 1: been on there in the first place, frankly, because it 630 00:35:50,719 --> 00:35:53,719 Speaker 1: hasn't improven to be effective, but you think it might be. 631 00:35:54,360 --> 00:35:56,320 Speaker 1: And what I want to understand, what you're trying to 632 00:35:56,400 --> 00:35:58,440 Speaker 1: do here, doctor Oz, because this is amazing to me, 633 00:35:59,160 --> 00:36:02,759 Speaker 1: is that you are you are now investigating. I think 634 00:36:02,960 --> 00:36:06,480 Speaker 1: NYU is doing a similar study as you are doing 635 00:36:06,560 --> 00:36:09,680 Speaker 1: one with the hospital in New York you're affiliated with, 636 00:36:09,800 --> 00:36:13,440 Speaker 1: which is Colombia, right, Presbyterian. It is yes, okay, and 637 00:36:13,680 --> 00:36:16,319 Speaker 1: that is that okay. Are people that have been taking 638 00:36:16,440 --> 00:36:21,840 Speaker 1: hydroxy chloroquin for lupus or rheumatoid arthritis? Is it acting? 639 00:36:22,320 --> 00:36:28,120 Speaker 1: Does it have prophylactic a prophylactic impact preventing people from 640 00:36:28,200 --> 00:36:32,279 Speaker 1: contracting the virus? And you're looking for lupus patients that 641 00:36:32,360 --> 00:36:37,240 Speaker 1: are taking hydroxy chloroquin rheumatoid arthritis patients, and you haven't 642 00:36:37,280 --> 00:36:40,799 Speaker 1: found one yet that is taking hydroxy chloroquin that did 643 00:36:41,440 --> 00:36:46,359 Speaker 1: also contract COVID nineteen. That's that's our finding to date. 644 00:36:46,400 --> 00:36:49,800 Speaker 1: I've asked for people to write in. We've gotten tweet 645 00:36:49,920 --> 00:36:53,080 Speaker 1: and a email of people who say that they think 646 00:36:53,120 --> 00:36:56,520 Speaker 1: they're COVID nineteen positive and we're taking hydroxy chloroquin. But again, 647 00:36:56,840 --> 00:36:58,879 Speaker 1: I've got three hundred thousand people that I can ask 648 00:36:58,920 --> 00:37:00,759 Speaker 1: that question too, and we'll see how many of them 649 00:37:00,840 --> 00:37:03,360 Speaker 1: had the illness. It's also possible by the way they 650 00:37:03,440 --> 00:37:06,120 Speaker 1: may have gotten the virus but not gotten sick. Maybe 651 00:37:06,200 --> 00:37:09,760 Speaker 1: the medication may ameliorate the ailment. We have no idea, 652 00:37:09,880 --> 00:37:12,320 Speaker 1: but we should use the tools that we have available. 653 00:37:12,400 --> 00:37:16,360 Speaker 1: Twenty first century technology includes large data. Right they use 654 00:37:16,400 --> 00:37:18,520 Speaker 1: it to sell your stuff, right that they use it 655 00:37:18,600 --> 00:37:20,719 Speaker 1: to fill your Amazon orders. So we know how to 656 00:37:20,800 --> 00:37:23,719 Speaker 1: do deep dives into data and figure out if there's 657 00:37:23,719 --> 00:37:25,600 Speaker 1: anything there. So the question we ought to be asking 658 00:37:25,760 --> 00:37:28,480 Speaker 1: is these three hundred thousand people who have been using 659 00:37:28,560 --> 00:37:32,080 Speaker 1: hydroxy chloroquin pretty commonly, are they having any complications? It's 660 00:37:32,120 --> 00:37:35,520 Speaker 1: one question, But the other question is are you actually 661 00:37:35,560 --> 00:37:37,880 Speaker 1: coming down with this COVID nineteen virus illness? And if 662 00:37:37,920 --> 00:37:39,680 Speaker 1: you're not, that's a clue. And if you are, we 663 00:37:39,800 --> 00:37:42,400 Speaker 1: move on to the next question. Well you do, or 664 00:37:42,520 --> 00:37:45,680 Speaker 1: maybe it's a very tiny number and a very small percentage. 665 00:37:45,719 --> 00:37:48,080 Speaker 1: I mean either or would be better than what we 666 00:37:48,200 --> 00:37:52,640 Speaker 1: have correct, because yes, it would be. That's the hope 667 00:37:52,760 --> 00:37:56,279 Speaker 1: is that you could find out from already taking place 668 00:37:56,400 --> 00:37:58,520 Speaker 1: experiment that no one had to pay for it, and 669 00:37:58,560 --> 00:38:01,319 Speaker 1: no one has to wait for whether or not it's 670 00:38:01,360 --> 00:38:04,840 Speaker 1: happening naturally. That's what the Chinese did. The Chinese stutely 671 00:38:05,160 --> 00:38:07,640 Speaker 1: looked in their own patient population at this hospital Uhan 672 00:38:07,680 --> 00:38:10,640 Speaker 1: that did the randomized trial, and they noticed that the 673 00:38:10,760 --> 00:38:14,160 Speaker 1: patients there who came in with lupus, we're not developing 674 00:38:14,280 --> 00:38:16,640 Speaker 1: COVID nineteen. And then the patients who had COVID nineteen, 675 00:38:16,680 --> 00:38:18,040 Speaker 1: none of them at lupus. Now that could be a 676 00:38:18,120 --> 00:38:20,920 Speaker 1: coincidence because most people don't have lupus, but it's an 677 00:38:20,960 --> 00:38:24,760 Speaker 1: interesting observation that prompted them to start looking at hydroxy 678 00:38:24,840 --> 00:38:29,160 Speaker 1: chloroquin in randomized trial. And that's why the French doctor did. 679 00:38:29,239 --> 00:38:33,240 Speaker 1: He a Rote also was pursuing it because he heard 680 00:38:33,280 --> 00:38:36,120 Speaker 1: the Chinese we're getting success. So he said, we're desperate here. 681 00:38:36,400 --> 00:38:38,680 Speaker 1: We don't have answers and we got to try whatever 682 00:38:38,760 --> 00:38:45,600 Speaker 1: we have. So an advisor to Joe Biden and his candidacy, 683 00:38:46,000 --> 00:38:49,719 Speaker 1: his name is doctor Zeki Emmanuel, is saying that in 684 00:38:49,880 --> 00:38:53,239 Speaker 1: fact Americans could be dealing with these strict social distancing 685 00:38:53,360 --> 00:38:58,279 Speaker 1: measures for eighteen months until there is a vaccine. Well, 686 00:38:58,360 --> 00:39:02,000 Speaker 1: the economy will collapse there. It's unsustainable at that point. 687 00:39:02,600 --> 00:39:06,239 Speaker 1: How is it possible, you know, doctor Fauci saying, next 688 00:39:06,280 --> 00:39:08,719 Speaker 1: week we begin to decline. Hopefully if the numbers hold, 689 00:39:08,760 --> 00:39:10,960 Speaker 1: of the patterns hold. Okay, let's assume that's the case. 690 00:39:11,560 --> 00:39:15,400 Speaker 1: I would assume reopening the country geographically those areas that 691 00:39:15,440 --> 00:39:18,759 Speaker 1: are not having high incidences will be pretty easy, but 692 00:39:19,000 --> 00:39:22,000 Speaker 1: cities like New York are going to be extraordinarily challenging. 693 00:39:22,120 --> 00:39:27,600 Speaker 1: Would that include, for example, antibody testing, temperature taking. How 694 00:39:27,640 --> 00:39:31,920 Speaker 1: do you do it without violating civil liberties and constitutional 695 00:39:32,040 --> 00:39:36,360 Speaker 1: rights and maintain patient privacy? The five minute test by Abbot, 696 00:39:36,520 --> 00:39:38,440 Speaker 1: That would be a part of it. Tell aworking has 697 00:39:38,480 --> 00:39:42,200 Speaker 1: to be a part of it. Wearing masks and gloves 698 00:39:42,520 --> 00:39:44,760 Speaker 1: might be a part of everyday life for a while. 699 00:39:45,760 --> 00:39:47,880 Speaker 1: Social distancing among with it. But then what do you 700 00:39:47,960 --> 00:39:51,120 Speaker 1: do with restaurants that they can't They'll never survive if 701 00:39:51,160 --> 00:39:55,040 Speaker 1: they're closed down for eight months, it's impossible. Well, I 702 00:39:55,120 --> 00:39:58,560 Speaker 1: think the way we get through this is case finding, 703 00:39:58,920 --> 00:40:02,759 Speaker 1: contact tracing, and quarantining. Let's go through this first off, 704 00:40:03,320 --> 00:40:06,040 Speaker 1: you pointed out the testing. We have to find people 705 00:40:06,160 --> 00:40:07,799 Speaker 1: when they get sick, and we have to let them 706 00:40:07,880 --> 00:40:10,239 Speaker 1: know that they're sick. They want to know anyway, and 707 00:40:10,600 --> 00:40:12,880 Speaker 1: that will allow us to figure out what's really happening. 708 00:40:13,120 --> 00:40:16,520 Speaker 1: The biggest failure that we have experienced because it was 709 00:40:17,040 --> 00:40:19,400 Speaker 1: not in any of our simulations, any of our modeling 710 00:40:19,800 --> 00:40:21,839 Speaker 1: was the idea that we wouldn't actually know who was ill. 711 00:40:22,040 --> 00:40:24,279 Speaker 1: I mean, how can you expect leaders to lead if 712 00:40:24,280 --> 00:40:26,080 Speaker 1: we don't give them any clues or what direction to 713 00:40:26,160 --> 00:40:27,960 Speaker 1: head in. So you have a bunch of folks, very 714 00:40:28,000 --> 00:40:30,280 Speaker 1: capable of people, I think in many different levels of government, 715 00:40:30,440 --> 00:40:32,440 Speaker 1: who had no idea what was happening because it was 716 00:40:32,440 --> 00:40:35,440 Speaker 1: sneaking up on them. So if with the appropriate testing 717 00:40:35,560 --> 00:40:37,520 Speaker 1: we'll find the case. Then this is the part that 718 00:40:37,560 --> 00:40:39,640 Speaker 1: you're bringing up. It's very sensitive and I think the 719 00:40:40,120 --> 00:40:42,279 Speaker 1: listeners here we able to hear all their opinions. We're 720 00:40:42,360 --> 00:40:44,880 Speaker 1: going to have to find their contacts. They can do it, 721 00:40:45,080 --> 00:40:46,960 Speaker 1: we can help them do it. We can do it 722 00:40:47,040 --> 00:40:49,239 Speaker 1: through technology, we can do it the old fashioned way. 723 00:40:49,280 --> 00:40:52,000 Speaker 1: But just trusting people to tell folks that they may 724 00:40:52,040 --> 00:40:55,279 Speaker 1: have been in contact with and being contact is specifically 725 00:40:55,480 --> 00:40:59,080 Speaker 1: let's just say ten minutes or more closer than six feet, right, 726 00:40:59,280 --> 00:41:00,800 Speaker 1: if you've been in contact, let's see you how to 727 00:41:00,880 --> 00:41:03,200 Speaker 1: kneel with somebody that was closer than six feet away 728 00:41:03,239 --> 00:41:07,040 Speaker 1: with from you. Then you had a interaction that could 729 00:41:07,040 --> 00:41:08,800 Speaker 1: have led to a virus being transmitted. So if you 730 00:41:08,880 --> 00:41:11,040 Speaker 1: test positive, you're gonna have to call that person up, 731 00:41:11,120 --> 00:41:12,799 Speaker 1: or someone's gonna have to notify that person that they 732 00:41:12,840 --> 00:41:15,040 Speaker 1: have to go into quarantine. And that has been very 733 00:41:15,160 --> 00:41:17,439 Speaker 1: uncomfortable to talk about. But we're gonna have to find 734 00:41:17,520 --> 00:41:19,239 Speaker 1: some way of doing that. As Americans, we should do 735 00:41:19,280 --> 00:41:21,920 Speaker 1: it ourselves. But do I trust everyone else to do 736 00:41:21,960 --> 00:41:23,840 Speaker 1: it for themselves? I don't know. If they don't do it, 737 00:41:24,080 --> 00:41:27,399 Speaker 1: you're gonna see ups and downs continually for the next 738 00:41:27,480 --> 00:41:30,800 Speaker 1: few months. Well, you said to me, a rebound is 739 00:41:30,880 --> 00:41:33,279 Speaker 1: not a matter of if, it's when and how bad. 740 00:41:34,160 --> 00:41:36,759 Speaker 1: And political leaders are going to be coward by that, 741 00:41:37,080 --> 00:41:40,120 Speaker 1: because here's the here's the equation. If you don't shut 742 00:41:40,200 --> 00:41:43,359 Speaker 1: down the city, state, country, people are going to die 743 00:41:43,719 --> 00:41:45,920 Speaker 1: and someone will die. And then your question is, well, 744 00:41:45,920 --> 00:41:47,560 Speaker 1: how many you know? You don't want to do that calculus. 745 00:41:47,600 --> 00:41:49,800 Speaker 1: That's too that's difficult. Instead, we want to have a 746 00:41:49,960 --> 00:41:54,000 Speaker 1: very smart plan that helps people find their contacts. Ideally 747 00:41:54,040 --> 00:41:56,239 Speaker 1: they do it themselves. And hey, say, listen, you've got 748 00:41:56,280 --> 00:41:58,320 Speaker 1: to quarantine yourself for two weeks. I'm just worried I 749 00:41:58,400 --> 00:42:00,160 Speaker 1: infected you. You won't know it for a week. We 750 00:42:00,160 --> 00:42:03,279 Speaker 1: don't want you speaking viruses everywhere. So how do we 751 00:42:03,360 --> 00:42:05,040 Speaker 1: do this? So that you don't lose your livelihood. How 752 00:42:05,040 --> 00:42:06,160 Speaker 1: do I make it easy for you to do the 753 00:42:06,239 --> 00:42:10,600 Speaker 1: right thing? What do you think of like these big 754 00:42:10,840 --> 00:42:13,640 Speaker 1: tall buildings in New York where, for example, both my 755 00:42:13,800 --> 00:42:17,120 Speaker 1: radio show and TV show are m What do you 756 00:42:17,280 --> 00:42:20,719 Speaker 1: think about taking people's temperatures prior to them going in 757 00:42:20,800 --> 00:42:23,720 Speaker 1: a building. Would that be helpful in terms of mitigation? 758 00:42:23,800 --> 00:42:26,680 Speaker 1: What about people that have some type of indication that 759 00:42:26,760 --> 00:42:28,520 Speaker 1: they have the antibodies. I don't think we have to 760 00:42:28,560 --> 00:42:30,960 Speaker 1: worry that much about them as long as I assume 761 00:42:31,239 --> 00:42:34,319 Speaker 1: a certain period of time has passed, or the five 762 00:42:34,440 --> 00:42:37,480 Speaker 1: minute tests that people can have if you concern that 763 00:42:37,560 --> 00:42:40,960 Speaker 1: they might have contracted it, and and doing it in 764 00:42:41,080 --> 00:42:45,640 Speaker 1: a way that maintains people's health privacy and doesn't create 765 00:42:45,680 --> 00:42:49,400 Speaker 1: any kind of database, and doesn't violate any civil liberties 766 00:42:49,480 --> 00:42:51,600 Speaker 1: or constitutional rights, because I think that will be a 767 00:42:51,719 --> 00:42:54,480 Speaker 1: massive issue for people. They should be a big issue 768 00:42:54,480 --> 00:42:57,600 Speaker 1: that makes Americans Americans. And if you don't want, you know, 769 00:42:57,800 --> 00:42:59,680 Speaker 1: people in the streets fighting each other, we have to 770 00:42:59,680 --> 00:43:03,120 Speaker 1: find something that most people find acceptable. I'm thinking that 771 00:43:03,440 --> 00:43:06,360 Speaker 1: if we could help people identify who they've been in 772 00:43:06,480 --> 00:43:10,200 Speaker 1: contact with that it was sick, potentially or vice versa 773 00:43:10,520 --> 00:43:12,200 Speaker 1: that they would act on it if that becomes our 774 00:43:12,239 --> 00:43:14,120 Speaker 1: new culture. Listen, we ask people not to hug and 775 00:43:14,200 --> 00:43:16,840 Speaker 1: shake hands. They don't. This is as important part of it. Now. 776 00:43:16,880 --> 00:43:19,560 Speaker 1: There's a financial issue here. If you're the only breadwinner 777 00:43:19,600 --> 00:43:21,520 Speaker 1: for your family and you have a little fever and 778 00:43:21,600 --> 00:43:25,680 Speaker 1: you're coughing and you've been feeling tired. By the way, 779 00:43:25,680 --> 00:43:27,800 Speaker 1: those are all classic symptoms of COVID nineteen. Are you 780 00:43:27,840 --> 00:43:30,040 Speaker 1: going to take yourself out of the workforce and be 781 00:43:30,160 --> 00:43:32,200 Speaker 1: gone for two weeks? So that's These are the kinds 782 00:43:32,200 --> 00:43:33,799 Speaker 1: of issues we got to help people deal with. Maybe 783 00:43:33,840 --> 00:43:36,480 Speaker 1: we reward people for doing the right thing by supporting 784 00:43:36,520 --> 00:43:38,839 Speaker 1: them financially so they can do it. All this said 785 00:43:38,840 --> 00:43:41,399 Speaker 1: and done, the antibody testing will help because those people 786 00:43:41,400 --> 00:43:42,880 Speaker 1: are clear, they're good to go. They could be a 787 00:43:42,960 --> 00:43:46,040 Speaker 1: big person in the population. By the way, and I 788 00:43:46,080 --> 00:43:48,160 Speaker 1: don't know temperature checking we could do, but I just 789 00:43:48,239 --> 00:43:49,759 Speaker 1: don't know how accurate that is. A lot of people 790 00:43:49,800 --> 00:43:51,759 Speaker 1: don't have a fever. A lot of people don't even 791 00:43:51,800 --> 00:43:54,520 Speaker 1: have them any symptoms. So it's a way of pulling 792 00:43:54,560 --> 00:43:57,040 Speaker 1: out people and warning them that they've got an issue. 793 00:43:57,280 --> 00:43:58,800 Speaker 1: By the way, if they have the flu, they shouldn't 794 00:43:58,840 --> 00:44:00,400 Speaker 1: go to work either, so that you don't lose a 795 00:44:00,440 --> 00:44:03,239 Speaker 1: lot of leverage there anybody testing over and over again, 796 00:44:03,239 --> 00:44:05,040 Speaker 1: it's not wise, that's not can be good to use 797 00:44:05,080 --> 00:44:08,040 Speaker 1: some money. But most importantly, if I have any symptoms 798 00:44:08,080 --> 00:44:11,520 Speaker 1: that might be attributable to COVID nineteen, I should be 799 00:44:11,520 --> 00:44:14,640 Speaker 1: able to get tested with a quick response and that So, 800 00:44:14,760 --> 00:44:18,040 Speaker 1: where are we going to be? It's April the eighth today, 801 00:44:18,480 --> 00:44:21,040 Speaker 1: thirty days in April. We're not far away. That's twenty 802 00:44:21,080 --> 00:44:23,680 Speaker 1: two days away. May first, Where is the country going 803 00:44:23,719 --> 00:44:25,880 Speaker 1: to be in terms of opening up the economy and 804 00:44:25,960 --> 00:44:30,440 Speaker 1: letting people go back to work in twenty two days? Well, 805 00:44:30,480 --> 00:44:32,359 Speaker 1: New York City is not opening up in twenty two days. 806 00:44:32,400 --> 00:44:35,800 Speaker 1: I mean in the Riicus and I'm talking you know, 807 00:44:36,000 --> 00:44:38,480 Speaker 1: to my college there or continually. I mean, it's a 808 00:44:38,520 --> 00:44:41,160 Speaker 1: little better because we're not having an increasing number of 809 00:44:41,200 --> 00:44:42,840 Speaker 1: people coming in, but we're still getting a lot of 810 00:44:42,840 --> 00:44:46,880 Speaker 1: people coming in. And ideally we'd have another week the 811 00:44:46,960 --> 00:44:48,560 Speaker 1: peak to sort of run to the end, and then 812 00:44:48,600 --> 00:44:50,319 Speaker 1: we'll start to see a downward slope of New York 813 00:44:50,360 --> 00:44:52,400 Speaker 1: City is not going anywhere. I don't think. On May first, 814 00:44:52,719 --> 00:44:55,240 Speaker 1: I could imagine parts of the country, as you alluded, 815 00:44:55,480 --> 00:44:58,400 Speaker 1: where there hasn't been a significant hit opening up. But 816 00:44:58,440 --> 00:45:00,440 Speaker 1: I gotta say, here's my reason why I would open them. 817 00:45:00,719 --> 00:45:02,719 Speaker 1: We need to start doing the experiment to see if 818 00:45:02,800 --> 00:45:06,520 Speaker 1: case finding, contact tracing and quarantining works. We've never done 819 00:45:06,560 --> 00:45:10,080 Speaker 1: that successfully, so we actually literally need public health officials 820 00:45:10,160 --> 00:45:13,760 Speaker 1: or elect detectives helping to figure this out, because people, 821 00:45:14,000 --> 00:45:15,400 Speaker 1: when they get ill, they don't even know where to 822 00:45:15,440 --> 00:45:19,000 Speaker 1: start to quarantine themselves and their family and their friends 823 00:45:19,040 --> 00:45:20,840 Speaker 1: and the people they may have contaminaties at work. I mean, 824 00:45:21,040 --> 00:45:24,520 Speaker 1: it's just the amount of contamination that happens while you're 825 00:45:24,560 --> 00:45:27,520 Speaker 1: thinking about how to quarantine yourself is Magie's massive. But 826 00:45:28,080 --> 00:45:31,640 Speaker 1: the testing is going to be key. And if we 827 00:45:31,719 --> 00:45:36,080 Speaker 1: can have the simple, easy ability to mass test anybody 828 00:45:36,360 --> 00:45:38,439 Speaker 1: that wants to get into a building ahead of time, 829 00:45:39,239 --> 00:45:42,160 Speaker 1: I don't think that would be hard either testing if 830 00:45:42,200 --> 00:45:45,160 Speaker 1: you've been if you contracted COVID nineteen, or if you 831 00:45:45,200 --> 00:45:48,880 Speaker 1: have the antibodies for it. Yes, you can't do that 832 00:45:48,920 --> 00:45:50,719 Speaker 1: every time someone walks into a building because it's a 833 00:45:50,800 --> 00:45:53,359 Speaker 1: waste of resources. We need those tests for people at 834 00:45:53,440 --> 00:45:55,839 Speaker 1: high risk. You can antibody test at once as soon 835 00:45:55,920 --> 00:45:57,800 Speaker 1: as you've got it. There should be some way of 836 00:45:58,360 --> 00:46:00,759 Speaker 1: giving you a badge so you're no longer in the pool. 837 00:46:00,760 --> 00:46:02,880 Speaker 1: You don't have to worry about you anymore. The energine 838 00:46:02,920 --> 00:46:05,400 Speaker 1: testing we should do selectively when people have symptoms to 839 00:46:05,440 --> 00:46:08,560 Speaker 1: pull them out of the call them out temper two. 840 00:46:08,560 --> 00:46:10,120 Speaker 1: We could do every time. That that's easy to go. 841 00:46:10,400 --> 00:46:12,920 Speaker 1: But the big the way will win this battle at 842 00:46:12,960 --> 00:46:16,000 Speaker 1: many levels is to get people who think they're sick. 843 00:46:16,360 --> 00:46:18,319 Speaker 1: They pulled themselves in there, and the people who may 844 00:46:18,320 --> 00:46:20,200 Speaker 1: have contentiated out of the work pool. That's how we'll 845 00:46:20,239 --> 00:46:23,040 Speaker 1: put the brush fires out that I agree with that part, 846 00:46:23,120 --> 00:46:26,840 Speaker 1: and I think of Americans would gladly do that, unless 847 00:46:26,840 --> 00:46:29,960 Speaker 1: you're evil and wanting other people to get sick. All right, 848 00:46:30,040 --> 00:46:31,719 Speaker 1: doctor Oz, thank you for that update. We'll have you 849 00:46:31,800 --> 00:46:35,520 Speaker 1: another one tonight at nine Hannity Fox News. Also Vice 850 00:46:35,560 --> 00:46:38,320 Speaker 1: President Pence Tonight's quick break right back, we'll continue. I 851 00:46:38,440 --> 00:46:41,160 Speaker 1: want the reporters to call him out on his lying. 852 00:46:41,640 --> 00:46:45,279 Speaker 1: I want the reporters to follow up on questions, and 853 00:46:45,719 --> 00:46:48,840 Speaker 1: if you can't get a real good answer, the correct answer, 854 00:46:49,160 --> 00:46:51,480 Speaker 1: I want you all to get up and walk out. Here. 855 00:46:51,560 --> 00:46:55,160 Speaker 1: We have a president who is exploiting a national crisis 856 00:46:55,440 --> 00:46:59,080 Speaker 1: to move forward, his own agenda, his own revenge, his 857 00:46:59,200 --> 00:47:04,359 Speaker 1: own profit. The presidents just going to ramble and yell 858 00:47:04,400 --> 00:47:06,799 Speaker 1: at reporters, say things that aren't the truth, and yell 859 00:47:06,840 --> 00:47:09,360 Speaker 1: at reporters when they ask important questions, which is what 860 00:47:09,520 --> 00:47:13,320 Speaker 1: he does. Then they shouldn't have the press conferences. But 861 00:47:13,400 --> 00:47:16,600 Speaker 1: this is a president who just cannot handle the truth. 862 00:47:17,200 --> 00:47:21,239 Speaker 1: Our president who has to make everything about him. He 863 00:47:21,360 --> 00:47:25,399 Speaker 1: needs to be praised at every second. What we saw 864 00:47:25,800 --> 00:47:29,440 Speaker 1: was hijacking, hijacking of the task Force press conference by 865 00:47:29,480 --> 00:47:33,040 Speaker 1: our president, determined to rewrite the history of his early 866 00:47:33,520 --> 00:47:37,719 Speaker 1: and reprehensibly irresponsible responds to this virus. This is a 867 00:47:37,840 --> 00:47:40,800 Speaker 1: president looking for a scapegoat because his own performance is 868 00:47:40,880 --> 00:47:43,480 Speaker 1: under question. And this is a president who clearly still 869 00:47:43,480 --> 00:47:45,600 Speaker 1: has time to watch Fox News because this has been 870 00:47:45,920 --> 00:47:49,720 Speaker 1: the narrative on Fox News. Don't blame the president, Blame China, 871 00:47:50,040 --> 00:47:53,200 Speaker 1: Blame the World Health Organization. Finds someone else to blame. Here, 872 00:47:53,280 --> 00:47:56,880 Speaker 1: we have a president who is exploiting a national crisis 873 00:47:57,160 --> 00:48:00,800 Speaker 1: to move forward, his own agenda, his own revenge, his 874 00:48:00,920 --> 00:48:04,080 Speaker 1: own profit. Back in my FBI, Das Nicole, some of 875 00:48:04,160 --> 00:48:06,600 Speaker 1: the most heinous criminals that I saw were those who 876 00:48:06,680 --> 00:48:11,960 Speaker 1: exploited crises, humanitarian crises nine to eleven, Hurricane Katrina for 877 00:48:12,080 --> 00:48:15,520 Speaker 1: their own benefit, right, And I thought, I thought that 878 00:48:15,600 --> 00:48:17,960 Speaker 1: was the most despicable thing that I had seen. And 879 00:48:18,080 --> 00:48:20,360 Speaker 1: I have to tell you, I see the president's conduct 880 00:48:20,400 --> 00:48:25,880 Speaker 1: as akin to that kind of inhumane exploitation of a crisis, 881 00:48:26,239 --> 00:48:29,600 Speaker 1: because the president is still resisting despite pressure. And we 882 00:48:29,719 --> 00:48:32,719 Speaker 1: now see part of your reporting was a Neil Newhouse 883 00:48:32,840 --> 00:48:36,000 Speaker 1: Republican polling that there were a number of people in 884 00:48:36,239 --> 00:48:39,840 Speaker 1: Red states early on who didn't heed the warnings to 885 00:48:40,480 --> 00:48:45,319 Speaker 1: socially distanced because they believed the president's false comments. They 886 00:48:45,440 --> 00:48:47,919 Speaker 1: just make this stuff up that they can't be any 887 00:48:48,000 --> 00:48:51,560 Speaker 1: more repulsive than they are, and then they are. I mean, 888 00:48:51,680 --> 00:48:55,040 Speaker 1: it just they sink to new lows. The mob, the media, 889 00:48:55,200 --> 00:48:58,640 Speaker 1: just it is who they are. It defines them, you know, 890 00:48:58,760 --> 00:49:01,360 Speaker 1: the level. You know. Let me give you an example. 891 00:49:01,480 --> 00:49:03,920 Speaker 1: Do you think if there was a twenty fifteen November 892 00:49:03,960 --> 00:49:08,600 Speaker 1: twenty seventeen task force that said, hey, if there is 893 00:49:08,640 --> 00:49:13,640 Speaker 1: an influenza pandemic, the federal government's going to be down 894 00:49:14,160 --> 00:49:17,920 Speaker 1: of fifteen thousand, seven hundred and eighty three ventilators. Do 895 00:49:18,000 --> 00:49:20,880 Speaker 1: you think that the media wouldn't be beating the living 896 00:49:21,160 --> 00:49:25,880 Speaker 1: daylights out of Donald Trump for not having the foresight, 897 00:49:26,120 --> 00:49:29,760 Speaker 1: the wisdom, the common sense to get the ventilators instead 898 00:49:29,800 --> 00:49:33,440 Speaker 1: of spending seven hundred and fifty let's say, million dollars 899 00:49:33,520 --> 00:49:36,680 Speaker 1: on a solar factory that goes belly up, another six 900 00:49:36,840 --> 00:49:40,359 Speaker 1: hundred million on another, what computer chip factory that goes 901 00:49:40,480 --> 00:49:45,080 Speaker 1: belly up, ninety million dollars on a lightbulb company investment 902 00:49:45,200 --> 00:49:47,680 Speaker 1: belly up? I mean, because that's what happened in New 903 00:49:47,760 --> 00:49:52,879 Speaker 1: York and it is bumbling, It is fumbling, it is insanity. 904 00:49:53,560 --> 00:49:57,200 Speaker 1: And it would think that we can't carry Donald Trump's 905 00:49:57,760 --> 00:50:01,840 Speaker 1: press conferences during the national emergency or a pandemic. We 906 00:50:01,920 --> 00:50:06,080 Speaker 1: can't possibly do that. Why not anyway, joining us to 907 00:50:06,200 --> 00:50:09,120 Speaker 1: discuss our friend Charlie kirkers back. By the way, his 908 00:50:09,200 --> 00:50:12,400 Speaker 1: book was phenomenally the New York Times bestseller, Congratulations on 909 00:50:12,520 --> 00:50:16,440 Speaker 1: That the MAGA Doctrine, and Brendan Carr, one of five 910 00:50:16,480 --> 00:50:20,440 Speaker 1: commissioners on the FCC, previously served as General Counsel of 911 00:50:20,480 --> 00:50:23,240 Speaker 1: the agency before the President nominated him to the position 912 00:50:23,320 --> 00:50:26,120 Speaker 1: in twenty seventeen. By the way, he's been an outspoken 913 00:50:26,200 --> 00:50:29,759 Speaker 1: proponent of freedom of speech, securing US leadership in five 914 00:50:29,920 --> 00:50:33,640 Speaker 1: g something New has talked a lot about and anyway, 915 00:50:33,920 --> 00:50:36,759 Speaker 1: you know, Charlie, I listen to the same people. You 916 00:50:36,840 --> 00:50:43,040 Speaker 1: know when early on they were politicizing this virus. They did. 917 00:50:43,120 --> 00:50:45,319 Speaker 1: It's instinctive for them. This is all we've gotten. They 918 00:50:45,360 --> 00:50:49,880 Speaker 1: politicize everything, Russia, Russia, Trump, Trump, Stormy Stormy s lessel 919 00:50:50,280 --> 00:50:53,200 Speaker 1: on and on. This is all they've done for three 920 00:50:53,239 --> 00:50:56,279 Speaker 1: and a half years, State run TV. They have now 921 00:50:56,440 --> 00:51:00,120 Speaker 1: been throwing a collective temper tantrum at the idea that 922 00:51:00,280 --> 00:51:03,000 Speaker 1: during a national emergency, the president of the United States 923 00:51:03,080 --> 00:51:07,240 Speaker 1: is informing the American people about what the latest updates 924 00:51:07,400 --> 00:51:11,800 Speaker 1: are and how his what the government response is because 925 00:51:11,840 --> 00:51:14,799 Speaker 1: of all these failed governors that had no preparation, which 926 00:51:14,840 --> 00:51:18,480 Speaker 1: in New York there's no excuse for. That's exactly right, 927 00:51:18,760 --> 00:51:21,800 Speaker 1: and sean to go even a step further. The media 928 00:51:21,920 --> 00:51:28,479 Speaker 1: is awful and inexcusable reaction to the success of hydroxachloroquin, 929 00:51:28,640 --> 00:51:31,840 Speaker 1: which you have been covering so well every night on 930 00:51:32,000 --> 00:51:36,920 Speaker 1: your show, is literally saving lives, and the media is 931 00:51:36,960 --> 00:51:41,120 Speaker 1: doing everything they possibly can to not just discredit the 932 00:51:41,239 --> 00:51:44,719 Speaker 1: president but then also try to wrongly accuse him of 933 00:51:44,880 --> 00:51:50,160 Speaker 1: his motivation, saying that somehow the president has financial holdings 934 00:51:50,320 --> 00:51:53,080 Speaker 1: in the drug company, which has now been proven to 935 00:51:53,160 --> 00:51:57,480 Speaker 1: be completely false. Mika Brazinski said that on her failing 936 00:51:57,600 --> 00:52:00,960 Speaker 1: morning news show. So your point is is exactly right. 937 00:52:01,120 --> 00:52:04,600 Speaker 1: The media here is not allowing is not having a 938 00:52:04,719 --> 00:52:09,400 Speaker 1: national emergency supersed politics. Instead, they are trying to infuse 939 00:52:09,960 --> 00:52:13,600 Speaker 1: their left wing politics with international emergency. And as Ram 940 00:52:13,640 --> 00:52:16,279 Speaker 1: Emmanuel has used to say, never let a crisis go 941 00:52:16,360 --> 00:52:19,480 Speaker 1: to waste. Well, and I gotta tell you, Brendon, I 942 00:52:19,600 --> 00:52:21,600 Speaker 1: think that Charlie brings up a good point. You know, 943 00:52:21,960 --> 00:52:27,160 Speaker 1: here we have every country that has been greatly impacted 944 00:52:27,239 --> 00:52:31,680 Speaker 1: by this virus is using hydroxy chloroquin, every one of them, 945 00:52:32,120 --> 00:52:34,000 Speaker 1: and every one of these people that come out day 946 00:52:34,000 --> 00:52:35,960 Speaker 1: after day, and they say no, it's safe, it's safe, 947 00:52:36,360 --> 00:52:38,680 Speaker 1: and the president says, well, I'd take it, and what 948 00:52:38,800 --> 00:52:41,600 Speaker 1: have you got to lose? And then they politicize that. 949 00:52:41,760 --> 00:52:45,880 Speaker 1: So we we get this letter from doctor Daniel Wallace. 950 00:52:46,040 --> 00:52:49,920 Speaker 1: He happens to be well a board certified rheumatologist Cedars 951 00:52:49,960 --> 00:52:54,040 Speaker 1: Sinai Medical Center. He inherited the largest practice for lupa's 952 00:52:54,080 --> 00:52:58,160 Speaker 1: patients in the country. He has he has two thousand 953 00:52:58,400 --> 00:53:01,360 Speaker 1: patients with the disease, almost all of him taking HCQ. 954 00:53:02,120 --> 00:53:06,080 Speaker 1: He authored four hundred peer reviewed papers. He's past chair 955 00:53:06,160 --> 00:53:10,040 Speaker 1: of the Lupus Foundation of America, the Rheumatology Research Foundation 956 00:53:10,360 --> 00:53:14,120 Speaker 1: of America College of Rheumatology, and I can go on 957 00:53:14,280 --> 00:53:18,360 Speaker 1: and on, and his exact words are hydroxy chloroquin or 958 00:53:18,760 --> 00:53:22,839 Speaker 1: plaque winnel. It's an alternative same very is a very 959 00:53:22,960 --> 00:53:26,280 Speaker 1: safe drug drug. It's been given a tens of millions 960 00:53:26,320 --> 00:53:29,799 Speaker 1: of individuals in the world since its approval sixty five 961 00:53:29,920 --> 00:53:33,200 Speaker 1: years ago in nineteen fifty five, and has not been 962 00:53:33,239 --> 00:53:37,879 Speaker 1: associated on monotherapy with any deaths in the recommended dose. 963 00:53:37,960 --> 00:53:40,600 Speaker 1: In forty two years of practiced, no patient of mine 964 00:53:40,640 --> 00:53:45,439 Speaker 1: has ever been hospitalized for HCQ complication. And the risk 965 00:53:45,520 --> 00:53:49,640 Speaker 1: of taking four hundred milligrams of HCQ a day following 966 00:53:49,680 --> 00:53:53,600 Speaker 1: a single six hundred milligram HCQ loading dose for thirty 967 00:53:53,680 --> 00:53:55,640 Speaker 1: or sixty days, which by the way, they're not using 968 00:53:55,719 --> 00:53:58,879 Speaker 1: it that way. It's usually five ten at max twenty days. 969 00:53:59,400 --> 00:54:02,359 Speaker 1: He said, the risk is nil unless one has an 970 00:54:02,400 --> 00:54:06,400 Speaker 1: allergic rash or an upset stomach. And yet there doctor 971 00:54:06,440 --> 00:54:11,120 Speaker 1: wolf Blitzer and doctor Mika Brzynski, mds are out there 972 00:54:11,200 --> 00:54:13,600 Speaker 1: saying it's dangerous for the president to be doing this. 973 00:54:13,800 --> 00:54:16,760 Speaker 1: It's not dangerous according to the people that are the experts, 974 00:54:16,840 --> 00:54:21,680 Speaker 1: preeminent experts in the field. Well, Sean, you're exactly right. Look, 975 00:54:21,800 --> 00:54:26,560 Speaker 1: we're seeing a coordinated effort by established gatekeepers that want 976 00:54:26,600 --> 00:54:29,840 Speaker 1: to control the narrative on this, and that includes working 977 00:54:29,960 --> 00:54:32,800 Speaker 1: to shut the president down and prevent him from speaking 978 00:54:32,920 --> 00:54:35,879 Speaker 1: directly to the people. That effort has now spilled over 979 00:54:36,160 --> 00:54:38,480 Speaker 1: here at the FCC where I work. There's this far 980 00:54:38,680 --> 00:54:42,879 Speaker 1: left group that filed the petition asking us to investigate 981 00:54:43,320 --> 00:54:47,480 Speaker 1: and take action against those broadcasters that continue to cover 982 00:54:47,600 --> 00:54:51,040 Speaker 1: the president's daily coronavirus briefing and asked us to take 983 00:54:51,120 --> 00:54:56,600 Speaker 1: action against conservative broadcasters that covered including Rush, your friend, 984 00:54:56,640 --> 00:55:00,360 Speaker 1: Mark Levin, Joe PAGs. Somehow, Sean, you escaped their titian 985 00:55:00,440 --> 00:55:02,440 Speaker 1: this time. But I don't think you're gonna be Oh no. 986 00:55:02,520 --> 00:55:04,279 Speaker 1: I was at the tip of the spear until I 987 00:55:04,360 --> 00:55:06,920 Speaker 1: actually had to, you know, get my whole team together 988 00:55:07,840 --> 00:55:10,880 Speaker 1: and lay out a timeline telling the truth. We first 989 00:55:10,920 --> 00:55:14,120 Speaker 1: had doctor fauci On talking about this January twenty seventh. 990 00:55:14,200 --> 00:55:17,279 Speaker 1: I had I had a panel of doctors January twenty eighth. 991 00:55:18,280 --> 00:55:21,200 Speaker 1: We only had the first known case of coronavirus January 992 00:55:21,280 --> 00:55:24,600 Speaker 1: twenty first in this country. And I kept saying, I'm 993 00:55:24,680 --> 00:55:29,120 Speaker 1: not liking this. Asymptomatic people are carrying this virus, they 994 00:55:29,200 --> 00:55:32,000 Speaker 1: have no idea to have symptoms, and it might be airborne. 995 00:55:32,120 --> 00:55:34,200 Speaker 1: Those are all the things I was saying in late 996 00:55:34,280 --> 00:55:37,480 Speaker 1: January and early February. And it gets from well, we 997 00:55:37,600 --> 00:55:40,040 Speaker 1: gotta sue Hannity and Fox News sue me for what. 998 00:55:41,440 --> 00:55:44,799 Speaker 1: I mean. It's unbelievable how the minds of these people work. 999 00:55:44,880 --> 00:55:47,600 Speaker 1: But I guess you know, I mean, they what you 1000 00:55:47,680 --> 00:55:50,040 Speaker 1: can't have an opinion that maybe it's not as dangerous. 1001 00:55:50,680 --> 00:55:53,520 Speaker 1: Now we keep getting lower and lower predictions. You know, 1002 00:55:53,719 --> 00:55:55,480 Speaker 1: if we didn't do anything and we didn't have a 1003 00:55:55,520 --> 00:55:58,520 Speaker 1: travel ban and a quarantine and mitigation efforts, they said 1004 00:55:58,520 --> 00:56:00,400 Speaker 1: two and a half million Americans could die. They were 1005 00:56:00,400 --> 00:56:02,040 Speaker 1: telling us a week and a half ago, two hundred 1006 00:56:02,040 --> 00:56:05,800 Speaker 1: and fifty thousand. It's been revised downward now to eighty 1007 00:56:05,880 --> 00:56:08,880 Speaker 1: one thousand, and now down to sixty thousand. So I mean, 1008 00:56:09,040 --> 00:56:12,680 Speaker 1: does anybody really know at any given moment. Because I'll 1009 00:56:12,680 --> 00:56:16,839 Speaker 1: give you another example, because Andrew Cuomo, the most loved 1010 00:56:16,920 --> 00:56:19,440 Speaker 1: human being in the face of this earth by liberals, 1011 00:56:20,280 --> 00:56:23,600 Speaker 1: the one that denied his own task force and rejected 1012 00:56:23,640 --> 00:56:26,480 Speaker 1: their recommendation that you would need this. While I have 1013 00:56:26,680 --> 00:56:29,440 Speaker 1: him on record as well, and you know, his record 1014 00:56:29,560 --> 00:56:31,600 Speaker 1: is not particularly keen in terms of what he was 1015 00:56:31,640 --> 00:56:33,560 Speaker 1: saying in the time that he was saying it, because 1016 00:56:33,600 --> 00:56:36,840 Speaker 1: early on, even up until early March, we're New Yorkers, 1017 00:56:36,880 --> 00:56:39,200 Speaker 1: We're tough, we have the best hospital system in the world. 1018 00:56:39,640 --> 00:56:41,920 Speaker 1: Turns out he didn't, and Donald Trump had to fix him. 1019 00:56:41,960 --> 00:56:47,280 Speaker 1: For Charlie, that's exactly right. And I think that there's 1020 00:56:47,560 --> 00:56:49,799 Speaker 1: a point of this where we wish we could put 1021 00:56:49,920 --> 00:56:52,880 Speaker 1: politics aside. And then you know, Governor Cuomo goes and 1022 00:56:53,040 --> 00:56:55,680 Speaker 1: throws chief shots at the president United States in his 1023 00:56:56,280 --> 00:56:59,400 Speaker 1: kind of daily I guess you could say exploratory Presidential 1024 00:56:59,400 --> 00:57:03,800 Speaker 1: Committee Morning briefing, where it seems that he is popular 1025 00:57:03,840 --> 00:57:07,120 Speaker 1: amongst many of New Yorkers. But I think it's so. 1026 00:57:07,480 --> 00:57:10,719 Speaker 1: I think it's unwarranted to as much praise as he 1027 00:57:10,760 --> 00:57:13,960 Speaker 1: has gotten by some members of the media, especially as 1028 00:57:14,040 --> 00:57:17,200 Speaker 1: it's now gone to show he did not replenish the 1029 00:57:17,400 --> 00:57:21,320 Speaker 1: reserve of ventilators or necessary, he didn't get one. They reckon. 1030 00:57:21,400 --> 00:57:24,480 Speaker 1: They said, if you have an influenza pandemic. He's only 1031 00:57:24,520 --> 00:57:27,600 Speaker 1: been asked one time why he didn't buy it. They said, 1032 00:57:27,680 --> 00:57:31,000 Speaker 1: it is this is something we can predict it's gonna happen. 1033 00:57:31,440 --> 00:57:33,560 Speaker 1: And if you're interested in what he was saying on 1034 00:57:33,760 --> 00:57:37,520 Speaker 1: March the second, he goes, well, excuse our arrogance as 1035 00:57:37,600 --> 00:57:40,160 Speaker 1: New Yorkers. Cuomo said, I speak for the mayor on 1036 00:57:40,240 --> 00:57:42,840 Speaker 1: this one also, And we think we have the best 1037 00:57:42,920 --> 00:57:45,439 Speaker 1: healthcare system on the planet right here in New York. 1038 00:57:45,920 --> 00:57:48,080 Speaker 1: He said this on March second. So when you're saying 1039 00:57:48,400 --> 00:57:51,760 Speaker 1: what happened in other countries versus what happened here, well, 1040 00:57:51,880 --> 00:57:53,959 Speaker 1: we don't even think it's going to be as bad 1041 00:57:54,080 --> 00:57:57,680 Speaker 1: as it was in other countries. Well, Donald Trump built 1042 00:57:57,760 --> 00:58:01,000 Speaker 1: him five hospitals. He's manning two of the hospitals, the 1043 00:58:01,120 --> 00:58:03,960 Speaker 1: Navy ship and the largest hospital now in the country 1044 00:58:04,440 --> 00:58:06,560 Speaker 1: at the Javit Center, which was not supposed to take 1045 00:58:06,600 --> 00:58:10,280 Speaker 1: on COVID patients, but they are. And all the ventilators 1046 00:58:10,360 --> 00:58:12,760 Speaker 1: that he has pretty much came from Donald Trump, along 1047 00:58:12,800 --> 00:58:14,880 Speaker 1: with the gowns and the masks and the respirators and 1048 00:58:14,960 --> 00:58:19,440 Speaker 1: the gloves and everything in between. Brendan, you're right. Look, 1049 00:58:19,480 --> 00:58:23,640 Speaker 1: there's a former FCC commissioner who came down with COVID 1050 00:58:23,880 --> 00:58:27,160 Speaker 1: and he's publicly stated that he attributes at least part 1051 00:58:27,240 --> 00:58:30,240 Speaker 1: of his recovery to taking this drug. And look, I'm 1052 00:58:30,280 --> 00:58:32,120 Speaker 1: not a doctor, so I don't recommend it one way 1053 00:58:32,240 --> 00:58:34,080 Speaker 1: or the other. But the idea that people would look 1054 00:58:34,120 --> 00:58:39,080 Speaker 1: to shut down speech simply because the president express optimism 1055 00:58:39,440 --> 00:58:45,280 Speaker 1: about this drug is really something. Yeah. So Alex Barnson, 1056 00:58:45,360 --> 00:58:47,160 Speaker 1: I guess used to work for the New York Times. 1057 00:58:47,240 --> 00:58:50,440 Speaker 1: He points out that Governor Cuomo reported ICU patients and 1058 00:58:50,560 --> 00:58:55,920 Speaker 1: discharges for weeks but not today, and just new hospitalizations 1059 00:58:56,000 --> 00:58:58,640 Speaker 1: which are now two fifths of what they were predicting 1060 00:58:58,680 --> 00:59:00,640 Speaker 1: it was going to be a week ago. Well, that 1061 00:59:00,680 --> 00:59:02,960 Speaker 1: would be good news, and that would mean I guess 1062 00:59:03,000 --> 00:59:05,960 Speaker 1: the President's travel band worked. Charlie, I think my favorite 1063 00:59:06,080 --> 00:59:08,880 Speaker 1: flop and flip is Joe Biden, now two months and 1064 00:59:09,000 --> 00:59:11,800 Speaker 1: three days late, supporting the President's China travel band that 1065 00:59:11,880 --> 00:59:16,560 Speaker 1: he called xenophobic, an hysterical, and fearmongering, no doubt, and 1066 00:59:16,680 --> 00:59:19,680 Speaker 1: you could tell I mean Joe Biden. Basically everything that 1067 00:59:19,800 --> 00:59:22,600 Speaker 1: he said he had his support throughout the Democratic primary 1068 00:59:23,200 --> 00:59:25,840 Speaker 1: has now been proven too would have only made America 1069 00:59:25,960 --> 00:59:28,880 Speaker 1: be more insected, whether it be the appeasement of China, 1070 00:59:29,080 --> 00:59:32,760 Speaker 1: which we know that Joe Biden downplayed at best the 1071 00:59:33,000 --> 00:59:35,880 Speaker 1: threat of China and at worst was cozying up to 1072 00:59:36,000 --> 00:59:39,360 Speaker 1: the dictators of the Chinese Communist Party while his son 1073 00:59:39,520 --> 00:59:42,640 Speaker 1: was doing very questionable business deals with the leaders of China, 1074 00:59:43,080 --> 00:59:45,320 Speaker 1: or immigration, I mean, Joe Biden came out with the 1075 00:59:45,440 --> 00:59:47,760 Speaker 1: statement that he may or may not have written it 1076 00:59:47,800 --> 00:59:50,000 Speaker 1: post probably his handlers, but it came out under his 1077 00:59:50,120 --> 00:59:52,160 Speaker 1: name in his campaign where he said that it was 1078 00:59:52,240 --> 00:59:55,320 Speaker 1: xenophobic and it was close minded to close off the 1079 00:59:55,400 --> 00:59:59,040 Speaker 1: borders to China. President Donald Trump can go into reelection 1080 00:59:59,160 --> 01:00:02,480 Speaker 1: mode against Joe Biden, or some people call him Joe China, 1081 01:00:02,640 --> 01:00:06,200 Speaker 1: saying that I saved tens of thousands of lives because 1082 01:00:06,320 --> 01:00:09,160 Speaker 1: I shut down the borders to China and instituted a 1083 01:00:09,240 --> 01:00:13,680 Speaker 1: travel band while my opponent hid behind virtue signaling left 1084 01:00:13,720 --> 01:00:17,640 Speaker 1: wing talking points while I put our country's lives first. 1085 01:00:17,760 --> 01:00:20,360 Speaker 1: That's a great point, Sean, that you have brought up 1086 01:00:20,400 --> 01:00:22,840 Speaker 1: many times, and the President has really zeroed in on 1087 01:00:22,920 --> 01:00:26,400 Speaker 1: this in his press conferences. Because Joe Biden would have 1088 01:00:26,840 --> 01:00:29,760 Speaker 1: kept the borders open and we would have a death 1089 01:00:29,880 --> 01:00:33,720 Speaker 1: toll that would be unimaginable and unacceptable if we would 1090 01:00:33,720 --> 01:00:36,600 Speaker 1: have followed the policies of Joe Biden. And the next phase. 1091 01:00:36,720 --> 01:00:41,720 Speaker 1: Democrats are arguing for money for illegal immigrants. Shouldn't surprise you, Brendan, 1092 01:00:41,800 --> 01:00:44,200 Speaker 1: Just like they want to change the voting laws dramatically 1093 01:00:44,280 --> 01:00:47,200 Speaker 1: so anybody could phone it in, mail it in, you 1094 01:00:47,320 --> 01:00:50,200 Speaker 1: can have somebody bring it in for you. Yeah, that 1095 01:00:50,320 --> 01:00:54,960 Speaker 1: will be widespread cheating and stealing. Well, look, I think Charlie, 1096 01:00:55,000 --> 01:00:56,640 Speaker 1: you had it right. I mean, this is what you're 1097 01:00:56,680 --> 01:01:01,000 Speaker 1: seeing is a very partisan reaction and by the left 1098 01:01:01,040 --> 01:01:04,440 Speaker 1: to this pandemic, rather than coming together to find solutions. 1099 01:01:04,480 --> 01:01:06,560 Speaker 1: You saw it with some of the relief packages where 1100 01:01:06,560 --> 01:01:08,760 Speaker 1: they're trying to push this green New deal through the 1101 01:01:08,840 --> 01:01:11,040 Speaker 1: relief packages. And again you're seeing it right now with 1102 01:01:11,160 --> 01:01:14,600 Speaker 1: the broadcasts of the president's coronavirus briefings, using that as 1103 01:01:14,640 --> 01:01:16,800 Speaker 1: a basis to file a petition here at the FCC 1104 01:01:17,000 --> 01:01:20,560 Speaker 1: to shut down broadcasters that do cover that. And I 1105 01:01:20,640 --> 01:01:23,280 Speaker 1: think on that last part this is a clear signal. 1106 01:01:23,480 --> 01:01:26,880 Speaker 1: Can you believe they want to sue people because when 1107 01:01:27,000 --> 01:01:29,640 Speaker 1: all of them got it wrong? I mean, that's Cheryl 1108 01:01:29,720 --> 01:01:33,480 Speaker 1: Atkinson did a great service to everybody pointing out all 1109 01:01:33,520 --> 01:01:37,240 Speaker 1: the crap they were saying and how wrong everybody was. Well, 1110 01:01:37,480 --> 01:01:39,920 Speaker 1: you know, it was a learning curve for everybody. So 1111 01:01:40,040 --> 01:01:42,680 Speaker 1: I guess doctor Faucci was saying it's not a problem 1112 01:01:42,760 --> 01:01:45,600 Speaker 1: on January twenty first, nothing Americans have to worry about. 1113 01:01:45,640 --> 01:01:48,240 Speaker 1: Everybody changed over time as we began to see the 1114 01:01:48,320 --> 01:01:51,840 Speaker 1: real seriousness of this. Yeah, look, this is just a 1115 01:01:51,920 --> 01:01:54,400 Speaker 1: clear attempt and they're going to continue this to try 1116 01:01:54,440 --> 01:01:56,640 Speaker 1: to use the FEC to shut down any voice that 1117 01:01:56,800 --> 01:01:59,680 Speaker 1: doesn't fit the far left orthodoxy. And they're not going 1118 01:01:59,720 --> 01:02:02,400 Speaker 1: to give this up even though we've turned back this petition. 1119 01:02:02,480 --> 01:02:04,360 Speaker 1: So I think it's something we have to really keep 1120 01:02:04,400 --> 01:02:07,880 Speaker 1: an eye on going forward, all right. Charlie Kirk, thank you, Brendan, 1121 01:02:08,040 --> 01:02:11,440 Speaker 1: thank you. All right. Leonard Skinner's simpleman can only mean 1122 01:02:11,600 --> 01:02:15,160 Speaker 1: one thing. All things Bill O'Reilly bill O'Reilly dot com 1123 01:02:15,560 --> 01:02:21,960 Speaker 1: on the models now are again projected downward. Anyway, Bill 1124 01:02:22,000 --> 01:02:24,680 Speaker 1: O'Reilly's with us now. Mister O'Reilly did something that he 1125 01:02:24,800 --> 01:02:27,880 Speaker 1: never does. He actually send it his Bill O'Reilly message 1126 01:02:27,920 --> 01:02:30,080 Speaker 1: of the day to me, and I liked it, but 1127 01:02:30,480 --> 01:02:33,320 Speaker 1: I don't have a free membership on bill O'Reilly dot com. 1128 01:02:33,480 --> 01:02:37,720 Speaker 1: I don't have access to anything O'Reilly. I mean, mister simpleman, 1129 01:02:38,080 --> 01:02:41,240 Speaker 1: you know, is just what's up with that? I give 1130 01:02:41,280 --> 01:02:43,960 Speaker 1: you free stuff all the time. I saw you had 1131 01:02:44,000 --> 01:02:46,280 Speaker 1: a free membership. I just send you a free boy 1132 01:02:47,080 --> 01:02:49,280 Speaker 1: doing crazy yours. What do you want me to do? 1133 01:02:49,400 --> 01:02:52,880 Speaker 1: I'm gonna have like guys go over every day, Sean, 1134 01:02:53,240 --> 01:02:56,280 Speaker 1: what would you like today? We'll provide you know what. 1135 01:02:56,520 --> 01:02:58,800 Speaker 1: I want life back to normal? Can you fix that 1136 01:02:59,000 --> 01:03:01,520 Speaker 1: in a simple way? Oh? Man, I wish I could, 1137 01:03:01,640 --> 01:03:06,280 Speaker 1: you know, but we're making little steps. Bernie Sanders, you 1138 01:03:06,400 --> 01:03:12,160 Speaker 1: know he's he's gone. That's really good for everybody. The projections, 1139 01:03:12,160 --> 01:03:14,640 Speaker 1: as you just mentioned, are down to sixty thousand. I 1140 01:03:14,640 --> 01:03:18,600 Speaker 1: don't think it'll be that high. Thirteen thousand dead now 1141 01:03:18,680 --> 01:03:21,840 Speaker 1: in the USA. Many of people who are dying both 1142 01:03:21,960 --> 01:03:26,160 Speaker 1: here and around the world, were on their last legs anyway. 1143 01:03:26,160 --> 01:03:28,600 Speaker 1: And I don't want to sound callous about that. You're 1144 01:03:28,600 --> 01:03:31,200 Speaker 1: gonna get hold on, You're gonna get care. I'm in 1145 01:03:31,280 --> 01:03:34,520 Speaker 1: a simple man tells the truth. You mean you mean 1146 01:03:34,600 --> 01:03:39,560 Speaker 1: people that are have underlying conditions and compromised immune systems. 1147 01:03:39,640 --> 01:03:42,800 Speaker 1: Any virus just saying would have not only that, but 1148 01:03:43,000 --> 01:03:46,040 Speaker 1: they were damaged. For example, one of the reasons the 1149 01:03:46,800 --> 01:03:50,960 Speaker 1: death rate in Italy and Spain is ten times higher 1150 01:03:51,920 --> 01:03:56,160 Speaker 1: than in the United States. Ten times, okay, and somebody 1151 01:03:56,200 --> 01:03:58,240 Speaker 1: can break this to Bernie Sanders. Number one, they have 1152 01:03:58,320 --> 01:04:01,440 Speaker 1: socialized medicine, which is not nearly as good as our 1153 01:04:01,520 --> 01:04:05,960 Speaker 1: private system. But number two, many more people smoke in 1154 01:04:06,120 --> 01:04:09,919 Speaker 1: Europe than here, and this ravages the lungs. It's also 1155 01:04:10,000 --> 01:04:13,080 Speaker 1: an older population too, absolutely, and they're the ones that 1156 01:04:13,160 --> 01:04:15,680 Speaker 1: have been succumbing in the big numbers. And by the way, 1157 01:04:15,720 --> 01:04:18,320 Speaker 1: you know they're ratcheting there too. Well, you're going to 1158 01:04:18,440 --> 01:04:20,960 Speaker 1: see and you heard it from the simple man. The 1159 01:04:21,120 --> 01:04:24,120 Speaker 1: Centers for Disease Control at the end of all this 1160 01:04:24,320 --> 01:04:28,680 Speaker 1: say this percentage of people who died from the virus 1161 01:04:30,440 --> 01:04:33,800 Speaker 1: also had other things that killed them. And they're going 1162 01:04:33,840 --> 01:04:36,560 Speaker 1: to break it down because they're an honest outfit in Atlanta, 1163 01:04:36,600 --> 01:04:39,160 Speaker 1: they are they tell the truth. But you know, I 1164 01:04:39,280 --> 01:04:43,840 Speaker 1: want the country, obviously everybody does, to get back to normal. 1165 01:04:43,920 --> 01:04:47,320 Speaker 1: I think that will happen. But it's a painful time 1166 01:04:47,360 --> 01:04:50,080 Speaker 1: in history and we should all, as I said, keep 1167 01:04:50,120 --> 01:04:53,680 Speaker 1: a journal of what's happening. Because this is something like 1168 01:04:53,840 --> 01:04:55,760 Speaker 1: nine to eleven. That is going to be with us 1169 01:04:56,320 --> 01:04:59,320 Speaker 1: and we'll be discussing it for years. Let me ask 1170 01:04:59,400 --> 01:05:01,520 Speaker 1: you about your comments, and you're a message of the 1171 01:05:01,640 --> 01:05:03,480 Speaker 1: day that you never send me. You give to everyone 1172 01:05:03,520 --> 01:05:06,040 Speaker 1: else but me. But I want to ask you. You 1173 01:05:06,120 --> 01:05:08,600 Speaker 1: know you were right pointing out that fake Jake Tapper 1174 01:05:08,640 --> 01:05:11,800 Speaker 1: over there at fake news CNN, you know, retweets this 1175 01:05:12,560 --> 01:05:16,720 Speaker 1: vicious attack from a Trump pater. You know they're saying 1176 01:05:16,760 --> 01:05:21,400 Speaker 1: that mister Trump is insane, literally completely Now I've been 1177 01:05:21,480 --> 01:05:23,360 Speaker 1: playing I played earlier in the program. I won't do 1178 01:05:23,400 --> 01:05:27,280 Speaker 1: it again now. But all of the they have not 1179 01:05:27,520 --> 01:05:31,040 Speaker 1: stopped hating Donald Trump throughout a national pandemic. They're actually 1180 01:05:31,160 --> 01:05:35,600 Speaker 1: fighting to see if their networks won't cover during a 1181 01:05:35,760 --> 01:05:40,760 Speaker 1: national emergency, the president's press conferences every day. There are 1182 01:05:40,760 --> 01:05:43,880 Speaker 1: a few things in play here. Number One, does this 1183 01:05:44,080 --> 01:05:49,000 Speaker 1: do any good for the American people? Having the national 1184 01:05:49,120 --> 01:05:54,360 Speaker 1: press use the pandemic to try to diminish the president 1185 01:05:54,360 --> 01:05:57,680 Speaker 1: in the United States so he loses in November. Now, 1186 01:05:58,000 --> 01:06:02,040 Speaker 1: the justification is Trump's worse than the virus. That's what 1187 01:06:02,240 --> 01:06:06,480 Speaker 1: Tapper and these people believe. All right, So you've got 1188 01:06:06,640 --> 01:06:10,960 Speaker 1: a movement that isn't really devoted, and that's the right 1189 01:06:11,000 --> 01:06:16,760 Speaker 1: word to helping the American people get through the pandemic. Look, 1190 01:06:17,040 --> 01:06:24,440 Speaker 1: I don't mind, in fact, I research accusations that the 1191 01:06:24,520 --> 01:06:28,120 Speaker 1: federal government botched it. I'll look into that. If you 1192 01:06:28,320 --> 01:06:34,280 Speaker 1: say the Trump administration or one of their appendages didn't 1193 01:06:34,320 --> 01:06:36,160 Speaker 1: do what they should have done in the beginning of 1194 01:06:36,240 --> 01:06:39,240 Speaker 1: the wuhan virus, I'll look at it. I'm not going 1195 01:06:39,280 --> 01:06:43,360 Speaker 1: to reject it out of hand. Nobody's perfect, but at 1196 01:06:43,440 --> 01:06:46,640 Speaker 1: this point, does it do any good to call the 1197 01:06:46,720 --> 01:06:51,560 Speaker 1: president insane, as Tapper did by retweeting that No. I 1198 01:06:51,680 --> 01:06:53,920 Speaker 1: think I have a different theory. I think the reason 1199 01:06:54,000 --> 01:06:57,320 Speaker 1: they want to silence at his press briefings during a 1200 01:06:57,440 --> 01:07:03,640 Speaker 1: national pandemic and emergencies because he is too presidential for them. Bill. 1201 01:07:04,440 --> 01:07:07,280 Speaker 1: They might help him, sure, but I have to say 1202 01:07:07,480 --> 01:07:10,000 Speaker 1: that these things are going on far too long now, 1203 01:07:10,560 --> 01:07:13,120 Speaker 1: and that President Trump would be smarter if he kept 1204 01:07:13,160 --> 01:07:16,920 Speaker 1: it to forty five minutes and was very disciplined in 1205 01:07:17,000 --> 01:07:21,360 Speaker 1: his messaging and maybe took ten questions, maybe seven. Because 1206 01:07:21,480 --> 01:07:24,400 Speaker 1: now it's just too much and people are starting to 1207 01:07:24,480 --> 01:07:28,400 Speaker 1: tune out, and I think they're actually not tuning out. 1208 01:07:28,440 --> 01:07:30,480 Speaker 1: I'm looking at the ratings from last night right in 1209 01:07:30,560 --> 01:07:35,280 Speaker 1: front of me. They're tuning in. Yeah, but no, no, no, no, no, no, no, no. Here. 1210 01:07:35,800 --> 01:07:37,840 Speaker 1: You don't want me to look at the ratings. Okay, no, no, 1211 01:07:37,920 --> 01:07:39,640 Speaker 1: I want you to look at the ratings. But that's 1212 01:07:39,720 --> 01:07:43,200 Speaker 1: Fox News Channel ratings, right, that's true, But it never 1213 01:07:44,280 --> 01:07:49,000 Speaker 1: if you add it all together. Though, he's listen to me, Okay, 1214 01:07:49,600 --> 01:07:54,439 Speaker 1: Sunday night, sixty minutes beats all right? The Trump press 1215 01:07:54,600 --> 01:07:57,480 Speaker 1: conference never should have happened. Wasn't that good? Have broadcast? 1216 01:07:57,600 --> 01:08:00,800 Speaker 1: I watched it? Beats him? Okay? Can I give a 1217 01:08:00,880 --> 01:08:03,480 Speaker 1: caveat on that? Though the President was not going to 1218 01:08:03,640 --> 01:08:05,800 Speaker 1: have a press brief for that day, and they called 1219 01:08:05,840 --> 01:08:08,880 Speaker 1: it last minute, like a half hour. You know, you 1220 01:08:09,000 --> 01:08:11,280 Speaker 1: know how it is, It gets out all the people 1221 01:08:11,360 --> 01:08:13,960 Speaker 1: who like Donald Trump, admired Donald Trump watched the Fox 1222 01:08:14,080 --> 01:08:16,200 Speaker 1: News Channel because they're the only ones that are covering it, 1223 01:08:16,720 --> 01:08:19,400 Speaker 1: all right, So the others didn't take it. So yeah, 1224 01:08:19,520 --> 01:08:22,080 Speaker 1: you're going to get a surgeon there for that. But 1225 01:08:22,240 --> 01:08:24,840 Speaker 1: what I'm saying to you is for the country, not 1226 01:08:25,000 --> 01:08:28,000 Speaker 1: for ratings, not for Donald Trump, just for the country. 1227 01:08:28,160 --> 01:08:31,040 Speaker 1: Wouldn't it be better to do a very focused, precise 1228 01:08:31,120 --> 01:08:33,599 Speaker 1: broadcast for forty five minutes to an hour every night. 1229 01:08:33,640 --> 01:08:36,719 Speaker 1: Wouldn't that be better? He was doing that for a while, 1230 01:08:36,880 --> 01:08:39,760 Speaker 1: if you remember, he'd come out, give the headlines, take 1231 01:08:39,840 --> 01:08:43,519 Speaker 1: some questions, introduce the medical team and Vice President Pence, 1232 01:08:43,560 --> 01:08:45,800 Speaker 1: and he would leave. And but lately he's gotten into 1233 01:08:45,800 --> 01:08:48,240 Speaker 1: a habit of going a lot longer. That's true, And 1234 01:08:48,360 --> 01:08:51,000 Speaker 1: I think at some point, at some point you see 1235 01:08:51,080 --> 01:08:52,960 Speaker 1: one of the biggest questions I have. But maybe you 1236 01:08:53,000 --> 01:08:56,120 Speaker 1: can help me here, because we've already two point two 1237 01:08:56,200 --> 01:08:58,599 Speaker 1: trillion dollars in relief, and I think the American people 1238 01:08:58,680 --> 01:09:01,720 Speaker 1: want to make workers, through no fault of their own, 1239 01:09:02,160 --> 01:09:05,840 Speaker 1: that have lost their incomes here whole. That's part of 1240 01:09:05,880 --> 01:09:08,679 Speaker 1: the two point two trillion that Congress held up because 1241 01:09:08,720 --> 01:09:11,240 Speaker 1: of the Kennedy Center and national downward for the arts. 1242 01:09:11,280 --> 01:09:13,439 Speaker 1: But then you got another four trillion that the feed 1243 01:09:13,479 --> 01:09:16,360 Speaker 1: has put aside in loan guarantees. Now they're talking about 1244 01:09:16,360 --> 01:09:19,800 Speaker 1: another two trillion dollars when the numbers are coming in 1245 01:09:19,960 --> 01:09:23,960 Speaker 1: sixty to seventy percent now below what they thought it 1246 01:09:24,000 --> 01:09:27,639 Speaker 1: would be in New York this week. All they projected 1247 01:09:27,920 --> 01:09:30,479 Speaker 1: on the extra You look, it's a twenty five trillion 1248 01:09:30,520 --> 01:09:33,120 Speaker 1: dollars debt now let's wait on the extra two. It's 1249 01:09:33,160 --> 01:09:36,840 Speaker 1: good to have it. And you saw this pro public 1250 01:09:36,920 --> 01:09:40,200 Speaker 1: A story that the State of New York, Deblasio and 1251 01:09:40,360 --> 01:09:44,200 Speaker 1: Chomo had a no sold their ventilators five years ago. 1252 01:09:45,080 --> 01:09:46,639 Speaker 1: Hang on, I said that was worth That was two 1253 01:09:46,680 --> 01:09:52,280 Speaker 1: thousand and six, and they recommended by believe no, no, no. Well, 1254 01:09:52,320 --> 01:09:55,519 Speaker 1: in two thousand and six Bloomberg they recommended. They said, 1255 01:09:55,560 --> 01:09:58,679 Speaker 1: if there's an influenza pandemic, they'd be almost ten thousand 1256 01:09:58,760 --> 01:10:02,800 Speaker 1: ventilators short. Right, Bloomberg bought five hundred. Okay, then they 1257 01:10:02,800 --> 01:10:04,880 Speaker 1: didn't maintain them, and then they sold them at auction. 1258 01:10:05,000 --> 01:10:09,160 Speaker 1: Now in twenty fifteen, in November, Andrew Cuomo had a 1259 01:10:09,240 --> 01:10:12,960 Speaker 1: task force and said, they have an obligation. This is 1260 01:10:13,040 --> 01:10:15,479 Speaker 1: going to happen. It's not a matter of if, it's 1261 01:10:15,520 --> 01:10:18,600 Speaker 1: a matter of when and to save lives. There is 1262 01:10:18,640 --> 01:10:20,679 Speaker 1: a shortage in the state of New York of fifteen 1263 01:10:20,720 --> 01:10:23,920 Speaker 1: thousand and seven hundred and eighty three ventilators. Guess how 1264 01:10:23,960 --> 01:10:30,559 Speaker 1: many Andrew Cuomo purchased, Bill O'Reilly None? None. So why 1265 01:10:31,240 --> 01:10:34,519 Speaker 1: are we not getting any reporting on that from me? 1266 01:10:34,840 --> 01:10:38,479 Speaker 1: That's it because they cover for him. But right, and 1267 01:10:38,680 --> 01:10:41,240 Speaker 1: so when he had a press conference today. I actually 1268 01:10:41,439 --> 01:10:44,639 Speaker 1: had my people tune in because I was writing my people. 1269 01:10:45,080 --> 01:10:47,479 Speaker 1: The simple man has his people to an infer him. 1270 01:10:49,520 --> 01:10:52,880 Speaker 1: I have people. We all people. So my investigators watched 1271 01:10:52,880 --> 01:10:55,080 Speaker 1: because we were assuming there would be a question about 1272 01:10:55,120 --> 01:10:59,640 Speaker 1: this right to Andrew Cuomo. No, there was one. There 1273 01:10:59,760 --> 01:11:02,839 Speaker 1: was if Trump had done that. Though. Can you imagine 1274 01:11:02,880 --> 01:11:07,200 Speaker 1: if Trump had taken office and then somebody said to 1275 01:11:07,360 --> 01:11:10,840 Speaker 1: him two and a half years ago, you know, we're 1276 01:11:10,840 --> 01:11:14,120 Speaker 1: gonna have a little pandemic, so you got to buy 1277 01:11:14,240 --> 01:11:18,519 Speaker 1: some some respirators and other medical supplies and mass and 1278 01:11:18,600 --> 01:11:21,680 Speaker 1: he goes, now, I have an important question for you. No, 1279 01:11:21,840 --> 01:11:24,880 Speaker 1: because that listen, we know the double standard. I'm the 1280 01:11:25,000 --> 01:11:27,880 Speaker 1: only one that's been hammering this because he should have 1281 01:11:27,920 --> 01:11:30,320 Speaker 1: bought the ventilators. Then he's screaming at Donald Trump, who 1282 01:11:30,360 --> 01:11:33,559 Speaker 1: built him five hospitals, manning two of the five hospitals, 1283 01:11:33,600 --> 01:11:37,040 Speaker 1: including the Javit Center and the Navy Hospital Ship, and 1284 01:11:37,160 --> 01:11:40,080 Speaker 1: he's building more hospitals, and he sent Cuomo all the 1285 01:11:40,240 --> 01:11:42,639 Speaker 1: ventilators that he needed. Now he doesn't need so many. 1286 01:11:44,000 --> 01:11:46,240 Speaker 1: But here's my question, I think is really important, and 1287 01:11:46,280 --> 01:11:48,880 Speaker 1: I don't think this is there's a simple answer to this. Bill, 1288 01:11:49,479 --> 01:11:52,080 Speaker 1: You know, we've got to get this economy open now. 1289 01:11:52,240 --> 01:11:55,479 Speaker 1: Geographically it's going to be pretty easy those areas that 1290 01:11:55,600 --> 01:11:59,040 Speaker 1: don't have a lot of instances of positive COVID nineteen. Okay, 1291 01:11:59,160 --> 01:12:02,000 Speaker 1: that'll take care of itself, hopefully sooner than later. But 1292 01:12:02,280 --> 01:12:04,120 Speaker 1: what do you do in a city like New York, 1293 01:12:04,680 --> 01:12:09,960 Speaker 1: small geographical area with a high concentration of people. I 1294 01:12:10,120 --> 01:12:13,360 Speaker 1: got to imagine that. And it's not a matter of if, 1295 01:12:13,479 --> 01:12:16,280 Speaker 1: but when there's a rebound. Doctor Oz just confirmed that, 1296 01:12:16,840 --> 01:12:19,800 Speaker 1: how do you open up New York City? Well, this 1297 01:12:19,880 --> 01:12:23,439 Speaker 1: is what's going to happen. The people who work in 1298 01:12:24,680 --> 01:12:28,400 Speaker 1: buildings are going to get their temperature taken before they 1299 01:12:28,560 --> 01:12:33,000 Speaker 1: enter the building every day. Then they're going many of 1300 01:12:33,040 --> 01:12:35,599 Speaker 1: the buildings will require masks, they'll have to wear them 1301 01:12:35,680 --> 01:12:39,200 Speaker 1: during work, and they'll also require the spacing of six feet, 1302 01:12:40,000 --> 01:12:42,519 Speaker 1: So that'll happen. How do we open a restaurant in 1303 01:12:42,520 --> 01:12:44,960 Speaker 1: New York? Then that's a good question. I is going 1304 01:12:45,040 --> 01:12:49,400 Speaker 1: to get that. It's dicey when you have people who 1305 01:12:49,479 --> 01:12:52,680 Speaker 1: are now coming in to attend your business. I think 1306 01:12:52,720 --> 01:12:56,960 Speaker 1: they'll probably have the thermometers. I really think that people's 1307 01:12:57,000 --> 01:13:00,720 Speaker 1: temperatures are going to be taken the workers and customers 1308 01:13:01,439 --> 01:13:04,840 Speaker 1: for a few months now. If they do that, that's 1309 01:13:04,880 --> 01:13:07,760 Speaker 1: going to lessen the panic. It's gonna give people some 1310 01:13:08,560 --> 01:13:12,280 Speaker 1: assurance that there isn't an out of control virus lurking. 1311 01:13:12,840 --> 01:13:14,559 Speaker 1: But I think you're going to see that happen now. 1312 01:13:14,600 --> 01:13:17,360 Speaker 1: It'll be interesting to see what happens in Europe because 1313 01:13:17,400 --> 01:13:22,519 Speaker 1: as you know, Austria and Norway and Denmark they're opening 1314 01:13:22,560 --> 01:13:25,559 Speaker 1: out Republic, they're opening in Italy. I don't think Italy 1315 01:13:25,640 --> 01:13:28,000 Speaker 1: can get it done myself. I don't know they are, 1316 01:13:28,040 --> 01:13:30,479 Speaker 1: but I don't think they can. But the other four can, 1317 01:13:31,280 --> 01:13:33,679 Speaker 1: and it'll be interesting to see what rules they apply, 1318 01:13:34,479 --> 01:13:37,000 Speaker 1: and whatever rules they apply, you're going to see that here, 1319 01:13:37,600 --> 01:13:39,200 Speaker 1: you see. I think the future is going to be 1320 01:13:39,240 --> 01:13:41,439 Speaker 1: the temperature checks. When I went to the Comfort to 1321 01:13:41,520 --> 01:13:44,519 Speaker 1: do the show that they took my temperature by just 1322 01:13:44,600 --> 01:13:48,639 Speaker 1: pointing something at my head. Then you're gonna have antibody tests. 1323 01:13:48,680 --> 01:13:50,560 Speaker 1: Then you're gonna have a five minute test. Hopefully we 1324 01:13:50,600 --> 01:13:52,600 Speaker 1: can get those machines from Abbot up and working. But 1325 01:13:52,680 --> 01:13:55,600 Speaker 1: I also think things are changing. Teleworking is going to 1326 01:13:55,640 --> 01:13:58,040 Speaker 1: be a big part of the solution. I think people 1327 01:13:58,040 --> 01:14:01,400 Speaker 1: will probably in big cities have to be accepting masks 1328 01:14:01,479 --> 01:14:03,639 Speaker 1: and gloves as part of everyday life for a while, 1329 01:14:03,720 --> 01:14:08,040 Speaker 1: including the social distancing stuff. Yeah, there's no doubt about it. Unlucky, 1330 01:14:08,120 --> 01:14:10,720 Speaker 1: we have the technology to do that, because if thermometers 1331 01:14:10,800 --> 01:14:14,000 Speaker 1: can read your temperature now what ten seconds? Fifteen? Right now? 1332 01:14:14,080 --> 01:14:17,280 Speaker 1: Yours is ninety eight point nine. Yeah, I'm just kidding. 1333 01:14:17,280 --> 01:14:19,280 Speaker 1: All right, Bill O'Reilly's with us. Hang on and stay 1334 01:14:19,280 --> 01:14:22,519 Speaker 1: there at Bill O'Reilly dot com. All things O'Reilly, simple man, 1335 01:14:22,600 --> 01:14:24,599 Speaker 1: Bill O'Reilly will us eight hundred and nine for one. 1336 01:14:24,680 --> 01:14:26,639 Speaker 1: Sean is our number. You want to be a part 1337 01:14:26,680 --> 01:14:29,840 Speaker 1: of the program. All right. So we are now two 1338 01:14:29,920 --> 01:14:32,519 Speaker 1: hundred and nine days away from election day. Sanders is 1339 01:14:32,600 --> 01:14:37,519 Speaker 1: out supporting Biden but holding on to his delegates wanting 1340 01:14:37,560 --> 01:14:41,840 Speaker 1: to influence the party platform. Does is this now done, 1341 01:14:41,880 --> 01:14:43,800 Speaker 1: it's Biden's it's over, or are they going to try 1342 01:14:43,840 --> 01:14:47,080 Speaker 1: and remove them? Well, we talked about this last week. 1343 01:14:47,160 --> 01:14:50,800 Speaker 1: I think his family and friends, Joe Biden's family and 1344 01:14:50,840 --> 01:14:53,560 Speaker 1: friends very worried about him. The pooh bas and the 1345 01:14:53,640 --> 01:14:59,240 Speaker 1: Democratic Party understand if he declines further, they're gonna have 1346 01:14:59,439 --> 01:15:02,240 Speaker 1: to do something because he's not going to be able 1347 01:15:02,240 --> 01:15:04,840 Speaker 1: to run against Trump. Scott to debate Trump a couple 1348 01:15:04,840 --> 01:15:08,760 Speaker 1: of times, maybe three, And if he can't get the 1349 01:15:08,840 --> 01:15:14,160 Speaker 1: sentence out, how can he possibly win? Well, I mean, look, 1350 01:15:14,560 --> 01:15:17,639 Speaker 1: he's done better when he has plenty of time to rest. 1351 01:15:17,880 --> 01:15:22,000 Speaker 1: His podcast video podcasts aren't particularly well. Bill. You know, 1352 01:15:22,080 --> 01:15:26,160 Speaker 1: I wrote Killing Reagan controversial book because after President Reagan 1353 01:15:26,240 --> 01:15:30,439 Speaker 1: was shot, his mental faculties declined a little bit. Now, 1354 01:15:30,520 --> 01:15:34,080 Speaker 1: he made a stunning comeback, stunning, but if there were 1355 01:15:34,160 --> 01:15:39,000 Speaker 1: a point where he had very he had big problems articulating. 1356 01:15:39,520 --> 01:15:44,280 Speaker 1: Right now, Joe Biden has major problems articulating. Well, I mean, 1357 01:15:44,439 --> 01:15:46,320 Speaker 1: how does that happen? You think that lynch pin to 1358 01:15:46,400 --> 01:15:49,920 Speaker 1: this is going to be Joe Biden. His wife, Joe 1359 01:15:50,000 --> 01:15:54,960 Speaker 1: Biden is running that show. Why would she allow it 1360 01:15:55,080 --> 01:15:59,000 Speaker 1: to go this far? Because and then step in last 1361 01:15:59,040 --> 01:16:01,880 Speaker 1: minute she wants it. It's not gonna be last minute. 1362 01:16:01,880 --> 01:16:06,280 Speaker 1: It would be in June. Their um convention has been 1363 01:16:06,320 --> 01:16:09,000 Speaker 1: pushed back to August. But you got Hillary and you've 1364 01:16:09,000 --> 01:16:15,040 Speaker 1: got Andrew Cuomo looming. So you think that do you 1365 01:16:15,160 --> 01:16:17,040 Speaker 1: think there is a plan. Do you think there's going 1366 01:16:17,120 --> 01:16:18,920 Speaker 1: to be an intervention or do you think they're just 1367 01:16:18,960 --> 01:16:21,840 Speaker 1: going to tell everybody to pound send because now, now 1368 01:16:21,960 --> 01:16:24,080 Speaker 1: let's say they do that. If you're Bernie Sanders and 1369 01:16:24,120 --> 01:16:26,080 Speaker 1: a Bernie Sanders supporter, you're gonna say, well, he got 1370 01:16:26,160 --> 01:16:29,000 Speaker 1: the next highest amount of votes, why doesn't he get it. 1371 01:16:30,320 --> 01:16:33,519 Speaker 1: That's what they'll say. That's why Sanders is hanging top. 1372 01:16:34,080 --> 01:16:37,280 Speaker 1: Everybody knows this in the Democratic hierarchy, this is not 1373 01:16:37,360 --> 01:16:42,280 Speaker 1: a secret that Joe Biden's mental acuity is being questioned. 1374 01:16:42,680 --> 01:16:44,960 Speaker 1: Everybody knows. The good news from Biden is he doesn't 1375 01:16:45,000 --> 01:16:47,799 Speaker 1: have to really do much between now in the summer. 1376 01:16:48,600 --> 01:16:53,200 Speaker 1: You know, he couldn't even do the podcast Hannity. He 1377 01:16:53,320 --> 01:16:59,360 Speaker 1: couldn't do it, and it was usually three hours late, 1378 01:16:59,360 --> 01:17:00,800 Speaker 1: and then he forgot that he was in front of 1379 01:17:00,840 --> 01:17:03,479 Speaker 1: the camera and he turn and walk away and do 1380 01:17:03,600 --> 01:17:06,320 Speaker 1: a podcast from his house. I do a podcast on 1381 01:17:06,400 --> 01:17:08,640 Speaker 1: Bill O'Reilly dot com five nights a week. I can 1382 01:17:08,760 --> 01:17:11,320 Speaker 1: do it. I think he's as old as shoe. I'm 1383 01:17:11,360 --> 01:17:13,840 Speaker 1: a little smarter than he is. But it's not that hard. 1384 01:17:14,360 --> 01:17:19,320 Speaker 1: It's not that hard Bill O'Reilly dot com, Bill stirring 1385 01:17:19,400 --> 01:17:21,720 Speaker 1: up the pot as usual. Thanks Bill, when we come back, 1386 01:17:21,800 --> 01:17:23,920 Speaker 1: Wide Open Phones eight hundred and nine for one Sean, 1387 01:17:23,960 --> 01:17:25,960 Speaker 1: you want to be a part of the program. Also, 1388 01:17:26,120 --> 01:17:28,120 Speaker 1: we are expecting at some point in the next half 1389 01:17:28,120 --> 01:17:30,800 Speaker 1: hour at the beginning of the Coronavirus Task Force their 1390 01:17:30,880 --> 01:17:33,839 Speaker 1: daily press briefing and updates. We'll get to that Hannity, 1391 01:17:34,080 --> 01:17:36,880 Speaker 1: Vice President Pence among our guests, Doctor Oz. Tonight at 1392 01:17:37,000 --> 01:18:05,519 Speaker 1: nine we'll continue Sean Hannity Show, a thermonuclear MMMA is 1393 01:18:05,720 --> 01:18:11,040 Speaker 1: salt on fake News. Hannity is on right now, all right, 1394 01:18:11,080 --> 01:18:12,840 Speaker 1: twenty five to the top of the hour. All right, 1395 01:18:12,920 --> 01:18:15,639 Speaker 1: so it is April. That means you're gonna be cutting 1396 01:18:15,640 --> 01:18:17,759 Speaker 1: your lawn soon, right now during the month of April. 1397 01:18:17,800 --> 01:18:20,960 Speaker 1: Our friends at hustlerturf dot com they make the best 1398 01:18:21,600 --> 01:18:25,760 Speaker 1: zero turn lawnmower with the best ride of anymore out there. 1399 01:18:25,880 --> 01:18:29,320 Speaker 1: They make commercial grade, residential grade. And on top of that, 1400 01:18:29,520 --> 01:18:31,400 Speaker 1: you won't have to make a payment for one hundred 1401 01:18:31,439 --> 01:18:34,160 Speaker 1: and fifty days and you're gonna be riding, getting some 1402 01:18:34,280 --> 01:18:36,760 Speaker 1: fresh air, cutting the lawn and it'll be more fun 1403 01:18:36,840 --> 01:18:39,360 Speaker 1: than it ever has been. And right now you'll get 1404 01:18:39,400 --> 01:18:43,240 Speaker 1: an additional year warranty just because you listen to this program. 1405 01:18:43,360 --> 01:18:47,320 Speaker 1: Hustler dot Turf hustlerturf dot com. Click on the radio 1406 01:18:48,200 --> 01:18:50,240 Speaker 1: offer button in the top right hand corner. Put in 1407 01:18:50,320 --> 01:18:53,639 Speaker 1: my last name. Now. Also, look, with all of that's 1408 01:18:53,680 --> 01:18:58,360 Speaker 1: going on and social distancing, everyone is adjusting and Hustler 1409 01:18:58,439 --> 01:19:00,439 Speaker 1: is no different. And by the way, they have jobs 1410 01:19:00,479 --> 01:19:03,400 Speaker 1: in the heartland for our fellow Americans. Their dealers are 1411 01:19:03,479 --> 01:19:05,720 Speaker 1: implementing a lot of changes. But you can still get 1412 01:19:05,800 --> 01:19:09,360 Speaker 1: the best zero turn more without leaving your yard free 1413 01:19:09,439 --> 01:19:11,760 Speaker 1: delivery of your new Hustle of moer. They'll set up 1414 01:19:11,760 --> 01:19:14,280 Speaker 1: an appointment for an outside demo. They'll set up an 1415 01:19:14,280 --> 01:19:16,599 Speaker 1: appointment for a live video walk through when you get 1416 01:19:16,640 --> 01:19:20,839 Speaker 1: you new mower, and they'll also, by the way, finance 1417 01:19:20,960 --> 01:19:22,920 Speaker 1: or pay for a new more. You can do all 1418 01:19:22,960 --> 01:19:26,639 Speaker 1: that over the phone too. You're financing, contact your local dealer. 1419 01:19:26,800 --> 01:19:29,280 Speaker 1: Just go to hustlerturf dot com. Save one hundred bucks 1420 01:19:30,040 --> 01:19:33,160 Speaker 1: this month of April. As we now begin our rush 1421 01:19:33,280 --> 01:19:35,840 Speaker 1: to get outside and get some fresh air. All right, 1422 01:19:35,840 --> 01:19:38,840 Speaker 1: we're waiting for the Coronavirus Task Force daily briefing. When 1423 01:19:38,880 --> 01:19:40,439 Speaker 1: that happens, we'll bring it to you. John is in 1424 01:19:40,479 --> 01:19:42,599 Speaker 1: New York. John, how are you glad you called, sir, 1425 01:19:42,800 --> 01:19:44,760 Speaker 1: and we got to get this city up running and 1426 01:19:44,840 --> 01:19:48,280 Speaker 1: open again. Yes, we absolutely do. Sean and thank you 1427 01:19:48,439 --> 01:19:51,200 Speaker 1: for trying to help save American lives. So we couldn't 1428 01:19:51,200 --> 01:19:54,040 Speaker 1: do without you. And I'm compelled to call because of 1429 01:19:54,160 --> 01:19:57,840 Speaker 1: you and your mission of trying to help everybody. M 1430 01:19:58,680 --> 01:20:01,840 Speaker 1: thank you. You're very nice. I appreciate it. Listen, we 1431 01:20:02,000 --> 01:20:05,280 Speaker 1: gotta look. I'm a little shocked. We're going to analyze 1432 01:20:05,360 --> 01:20:07,600 Speaker 1: the more detail tonight. How these numbers could have been 1433 01:20:07,680 --> 01:20:10,320 Speaker 1: so off? How did they get it so wrong? But 1434 01:20:10,800 --> 01:20:13,280 Speaker 1: that's a separate issue. That means less death, That means 1435 01:20:13,400 --> 01:20:16,320 Speaker 1: less you know, overcrowding in our hospitals, that means we 1436 01:20:16,400 --> 01:20:18,559 Speaker 1: had enough equipment. All of these things are all good, 1437 01:20:18,720 --> 01:20:22,479 Speaker 1: but how did they get it so awfully wrong? Sort 1438 01:20:22,520 --> 01:20:25,599 Speaker 1: of like Polly But anyway, go ahead. Yeah, well, Sean, 1439 01:20:25,680 --> 01:20:28,760 Speaker 1: you know, I've i have rheumatoid arthritis, and I've been 1440 01:20:28,840 --> 01:20:33,320 Speaker 1: taking hydroxy chloroquine for five plus years, Okay, a long time, 1441 01:20:33,400 --> 01:20:37,640 Speaker 1: and that's every day, four hundred milligrams right there is. 1442 01:20:37,880 --> 01:20:42,080 Speaker 1: I have had no adverse effects whatsoever. And every time 1443 01:20:42,160 --> 01:20:45,080 Speaker 1: I hear people say that it's dangerous and don't take 1444 01:20:45,160 --> 01:20:49,200 Speaker 1: it this that, it infuriates me because it doesn't do anything. 1445 01:20:49,720 --> 01:20:53,200 Speaker 1: It's safe. And well here's looks in there's no more 1446 01:20:54,400 --> 01:20:57,719 Speaker 1: expert than this guy, doctor Daniel Wallace, who's with CEDAR 1447 01:20:57,760 --> 01:21:01,200 Speaker 1: sign I'm medical center, I mean argist Looper's practice in 1448 01:21:01,280 --> 01:21:04,840 Speaker 1: the US two thousand patients. This guy in forty two 1449 01:21:04,920 --> 01:21:07,680 Speaker 1: years of practice. Quote, no patient of mine has ever 1450 01:21:07,880 --> 01:21:11,640 Speaker 1: been hospitalized for HCQ complications. He said, it is a 1451 01:21:11,920 --> 01:21:15,479 Speaker 1: very safe drug. You know, everyone says it's untested. It's 1452 01:21:15,560 --> 01:21:18,760 Speaker 1: tested because you know, it's been around sixty five years. 1453 01:21:18,880 --> 01:21:21,479 Speaker 1: Tens of millions of individuals around the world, all these 1454 01:21:21,560 --> 01:21:24,000 Speaker 1: other countries are giving it as part of their treatment. 1455 01:21:24,040 --> 01:21:26,840 Speaker 1: It is the number one treatment option in a survey 1456 01:21:26,920 --> 01:21:30,240 Speaker 1: of sixty three hundred doctors worldwide. And he said, the 1457 01:21:30,360 --> 01:21:32,760 Speaker 1: risk of taking four hundred, which is what your daily 1458 01:21:32,840 --> 01:21:37,240 Speaker 1: doses HCQ a day following one single six hundred milligram 1459 01:21:37,760 --> 01:21:40,200 Speaker 1: HCQ loading dose, he says, if you take it for 1460 01:21:40,280 --> 01:21:42,800 Speaker 1: thirty or sixty days, he says, any risk is nil 1461 01:21:43,360 --> 01:21:45,920 Speaker 1: unless you get a rash or an upset stomach. You're 1462 01:21:45,960 --> 01:21:48,120 Speaker 1: not dying from it. A rash or an upset stomach, 1463 01:21:48,160 --> 01:21:51,000 Speaker 1: you stop taking it. But you know, the average run 1464 01:21:51,080 --> 01:21:54,400 Speaker 1: of or course run for treatment of COVID nineteen is five, 1465 01:21:54,600 --> 01:21:58,160 Speaker 1: ten or twenty days max that I've read and you've 1466 01:21:58,200 --> 01:22:00,639 Speaker 1: been taking it five years and you take four milligrams 1467 01:22:00,680 --> 01:22:04,879 Speaker 1: a day. Now there is long term issues involving potential 1468 01:22:05,040 --> 01:22:08,960 Speaker 1: the risk of IYE retinal toxicity, and it's very low 1469 01:22:09,040 --> 01:22:10,960 Speaker 1: for the first five years. Have you talked about this 1470 01:22:11,040 --> 01:22:15,120 Speaker 1: with your doctor? Yes, my rheumatologists recommended me getting my 1471 01:22:15,200 --> 01:22:18,240 Speaker 1: eyes checked once a year. But to be honest with you, 1472 01:22:18,320 --> 01:22:21,200 Speaker 1: I haven't done that yet because I've had no you know, 1473 01:22:21,360 --> 01:22:24,160 Speaker 1: sign or ill effects. Shame on me for not going yet, 1474 01:22:24,240 --> 01:22:27,120 Speaker 1: but I will. You should probably just listen to your doctor. 1475 01:22:27,160 --> 01:22:28,760 Speaker 1: Go get the eye check. It doesn't think that long. 1476 01:22:28,840 --> 01:22:31,920 Speaker 1: It takes, you know, thirty minutes. Yeah, you know, and 1477 01:22:32,040 --> 01:22:33,559 Speaker 1: I will do that. I'm like you. I don't want 1478 01:22:33,560 --> 01:22:35,160 Speaker 1: to go to my doctor either. I hate going to 1479 01:22:35,200 --> 01:22:37,880 Speaker 1: the doctor. My doctor he gets me in the office, 1480 01:22:37,920 --> 01:22:41,559 Speaker 1: he never lets me leave. We must have the same doctor. 1481 01:22:42,280 --> 01:22:44,280 Speaker 1: Oh my gosh, he goes, Oh you're here. Well, might 1482 01:22:44,280 --> 01:22:46,400 Speaker 1: as well get everything done here, get on the treadmill, 1483 01:22:46,520 --> 01:22:50,759 Speaker 1: hurry up. Good grief. Why did I do this? Well? Anyway, 1484 01:22:50,960 --> 01:22:54,479 Speaker 1: you know, look, if there was any risk, I would 1485 01:22:54,479 --> 01:22:58,120 Speaker 1: tell people. But I'm this is a guy that now 1486 01:22:58,360 --> 01:23:02,559 Speaker 1: inherited the largest lupus practice in the United States cares 1487 01:23:02,600 --> 01:23:05,479 Speaker 1: for two that's in nineteen eighty five, He's caring for 1488 01:23:05,720 --> 01:23:09,240 Speaker 1: two thousand patients with the disease. Majority of the patients 1489 01:23:09,439 --> 01:23:14,280 Speaker 1: are taking or have taken HCQ. He's authored four hundred 1490 01:23:14,280 --> 01:23:19,240 Speaker 1: peer reviewed papers, written the principal Lupus Textbook, past chairman 1491 01:23:19,240 --> 01:23:24,000 Speaker 1: of the Lupus Foundation of America, the Rheumatology Research Foundation 1492 01:23:24,520 --> 01:23:28,839 Speaker 1: of the American College of Rheumatology, and you know, currently 1493 01:23:28,920 --> 01:23:34,000 Speaker 1: on a board of directors Lupus Research Alliance, Lupus Therapeutics. 1494 01:23:34,479 --> 01:23:38,400 Speaker 1: He's authored numerous articles on anti malarials. I mean, who 1495 01:23:38,400 --> 01:23:40,920 Speaker 1: are we going to believe, doctor wolf Blitzer or this guy. 1496 01:23:41,120 --> 01:23:43,160 Speaker 1: I think I'll choose this guy. And I trust doctor 1497 01:23:43,200 --> 01:23:46,840 Speaker 1: Oz too. He's not looking to hurt anybody. And we're getting, 1498 01:23:47,560 --> 01:23:49,960 Speaker 1: you know, all these you know, studies that nobody in 1499 01:23:50,000 --> 01:23:52,560 Speaker 1: the media will even tell you about. You know, he 1500 01:23:53,000 --> 01:23:55,640 Speaker 1: talked to the guy that ran the French study a 1501 01:23:55,720 --> 01:23:58,200 Speaker 1: thousand people. Now that was after a smaller study than 1502 01:23:58,280 --> 01:24:02,360 Speaker 1: he had done. He feels confident in the Chinese study, 1503 01:24:03,040 --> 01:24:05,599 Speaker 1: but he says it's well beyond anecdotal at this point, 1504 01:24:06,120 --> 01:24:08,920 Speaker 1: and he says the evidence is clear and convincing to him. 1505 01:24:09,560 --> 01:24:13,120 Speaker 1: And if there's no risk, as doctor Daniel Wallace is 1506 01:24:13,200 --> 01:24:15,320 Speaker 1: telling us in terms of Okay, what have you got 1507 01:24:15,400 --> 01:24:18,919 Speaker 1: to lose? Why wouldn't you take it? I would myself, 1508 01:24:19,280 --> 01:24:21,400 Speaker 1: but people got to consult with their own doctors. I'm 1509 01:24:21,400 --> 01:24:23,760 Speaker 1: not going to play doctor on radio, but to me, 1510 01:24:24,080 --> 01:24:26,479 Speaker 1: everything I've read and every doctor I talked to their old. 1511 01:24:26,720 --> 01:24:28,640 Speaker 1: By the way, every doctor Long Island I know is 1512 01:24:28,720 --> 01:24:31,360 Speaker 1: giving this out. Every doctor I know around the country's 1513 01:24:31,360 --> 01:24:35,719 Speaker 1: giving this out to patients that are test positive COVID nineteen. 1514 01:24:36,560 --> 01:24:39,439 Speaker 1: But anyway, listen, I'm glad you're well. How's your roarthritis? 1515 01:24:39,479 --> 01:24:42,880 Speaker 1: Does it really work? It does? I take that with 1516 01:24:43,040 --> 01:24:45,880 Speaker 1: a few other things, but it definitely has helped. And 1517 01:24:45,960 --> 01:24:48,599 Speaker 1: my numbers are way down at the biological level where 1518 01:24:48,640 --> 01:24:52,479 Speaker 1: they check every three months. And I honestly think that, 1519 01:24:52,720 --> 01:24:56,679 Speaker 1: you know, nurses and doctors and firefighters and policeman nation 1520 01:24:56,840 --> 01:25:01,360 Speaker 1: be taking this preventatively because dem safe saved their lives 1521 01:25:01,400 --> 01:25:04,280 Speaker 1: and it'll help kill the virus faster. So that for 1522 01:25:04,439 --> 01:25:07,240 Speaker 1: me is the fascinating science that doctor Oz is trying 1523 01:25:07,280 --> 01:25:09,240 Speaker 1: to get to the bottom of. And he's doing a 1524 01:25:09,520 --> 01:25:12,600 Speaker 1: clinical trial a Columbia Presbyterium where he is. I know 1525 01:25:12,800 --> 01:25:15,960 Speaker 1: Nyu Langon is doing one and that is people with 1526 01:25:16,120 --> 01:25:19,799 Speaker 1: lupus or rheumatoid arthritis as you have. They're not finding 1527 01:25:19,920 --> 01:25:23,040 Speaker 1: any people yet. He's doctors is trying to find people 1528 01:25:23,120 --> 01:25:26,720 Speaker 1: that have been taking hydroxy chloroquine for those illnesses. And 1529 01:25:27,000 --> 01:25:29,960 Speaker 1: they're trying to find somebody that has contracted COVID nineteen. 1530 01:25:30,000 --> 01:25:33,120 Speaker 1: That can't find anybody yet, they're looking for them actively. 1531 01:25:34,240 --> 01:25:36,200 Speaker 1: You can go to doctor Oz's website if you if 1532 01:25:36,240 --> 01:25:39,760 Speaker 1: you're one of those people, you know, you got to 1533 01:25:39,800 --> 01:25:42,040 Speaker 1: open your eyes to this. This this is what we need. 1534 01:25:42,120 --> 01:25:44,080 Speaker 1: It's like the holy Grail, you know, we you know, 1535 01:25:44,200 --> 01:25:48,599 Speaker 1: come on, America, let's go enough with playing politics. Let 1536 01:25:48,680 --> 01:25:50,439 Speaker 1: me tell you something. You know. One of the things 1537 01:25:50,479 --> 01:25:53,000 Speaker 1: that I appreciate the call, John, thank you. I love 1538 01:25:53,080 --> 01:25:56,280 Speaker 1: the idea of right to try, because I've watched friends 1539 01:25:56,360 --> 01:25:59,400 Speaker 1: die from cancer, I watched family members die from cancer. 1540 01:26:00,640 --> 01:26:03,599 Speaker 1: And if somebody tells you, hey, this is showing some promise, 1541 01:26:03,720 --> 01:26:06,400 Speaker 1: some hope, and you want to give it a try, 1542 01:26:06,439 --> 01:26:09,120 Speaker 1: it's your life and your body. That's why I like 1543 01:26:09,240 --> 01:26:12,320 Speaker 1: that The President thinks differently. You know, the public private 1544 01:26:12,400 --> 01:26:16,960 Speaker 1: partnerships were different. We now know. Also the travel bands, 1545 01:26:17,000 --> 01:26:18,360 Speaker 1: I don't think they're going to be viewed as so 1546 01:26:18,479 --> 01:26:21,559 Speaker 1: controversial moving forward if there's any sign that we could 1547 01:26:21,600 --> 01:26:25,920 Speaker 1: have a possible pandemic. I also think the the you know, 1548 01:26:26,040 --> 01:26:29,519 Speaker 1: the partnerships with businesses. I mean, Abbott is going to 1549 01:26:29,720 --> 01:26:32,720 Speaker 1: produce so many of these five minute test result things 1550 01:26:32,800 --> 01:26:34,960 Speaker 1: that's going to be amazing. The antibody testing as well. 1551 01:26:34,960 --> 01:26:37,840 Speaker 1: It's going to help us open our economy. We can't 1552 01:26:37,920 --> 01:26:40,200 Speaker 1: keep this thing shut down and think that somehow we're 1553 01:26:40,240 --> 01:26:42,920 Speaker 1: going to spend ourselves into prosperity. It's not going to happen. 1554 01:26:43,880 --> 01:26:47,080 Speaker 1: And Americans, you know, the funny thing is most people 1555 01:26:47,160 --> 01:26:50,080 Speaker 1: want to get back to work. Brian is in Oklahoma. Brian, 1556 01:26:50,120 --> 01:26:54,160 Speaker 1: how are you glad you called mister Hannity. Yes, sir, 1557 01:26:54,240 --> 01:26:57,960 Speaker 1: how are you? I'm doing well, Thank you, sir. So 1558 01:26:58,160 --> 01:27:00,400 Speaker 1: glad to talk to you. It's not let to talk 1559 01:27:00,400 --> 01:27:03,160 Speaker 1: to you. I just wanted to let you know on 1560 01:27:03,240 --> 01:27:07,160 Speaker 1: the hydroxychloroquine issue, I've been on that for over twenty 1561 01:27:07,240 --> 01:27:12,200 Speaker 1: years and I have room to ardrids and I have 1562 01:27:12,600 --> 01:27:16,639 Speaker 1: had no ill effects. And I've also on occasion taken 1563 01:27:16,720 --> 01:27:21,519 Speaker 1: the zepack with it and it has not bothered me whatsoever. 1564 01:27:21,640 --> 01:27:24,120 Speaker 1: And the reason why I take the EPAC is for 1565 01:27:24,400 --> 01:27:28,040 Speaker 1: like a case of an affection for boncitis or someone 1566 01:27:28,160 --> 01:27:33,599 Speaker 1: like that. But yeah, I have had no ill effects whatsoever. Well, 1567 01:27:33,680 --> 01:27:36,280 Speaker 1: let me ask you. So they do say that, and 1568 01:27:36,640 --> 01:27:41,839 Speaker 1: this is per doctor Daniel Wallace again foremost the expert 1569 01:27:41,960 --> 01:27:45,120 Speaker 1: that I can find that there is a risk of 1570 01:27:45,680 --> 01:27:50,600 Speaker 1: retinal toxicity as the years go on continuous use. It 1571 01:27:50,720 --> 01:27:53,639 Speaker 1: goes up after ten years, up after the risk does 1572 01:27:53,720 --> 01:27:58,440 Speaker 1: after fifteen years, and they usually adjust the dose downward. 1573 01:27:59,360 --> 01:28:03,920 Speaker 1: Have you had your yearly eye exam the first teen years, 1574 01:28:04,000 --> 01:28:06,160 Speaker 1: I had a yearly exam and then I went to 1575 01:28:06,400 --> 01:28:11,000 Speaker 1: one eye guy and he said, you don't take enough 1576 01:28:11,600 --> 01:28:15,479 Speaker 1: of that to even worry about it. Back in the 1577 01:28:15,520 --> 01:28:18,400 Speaker 1: early days, that's when they gave the large doses and 1578 01:28:18,600 --> 01:28:22,800 Speaker 1: that's when the problems came there. M Doctor Wallace is 1579 01:28:22,840 --> 01:28:26,400 Speaker 1: saying that after ten years, you know, you have a 1580 01:28:26,479 --> 01:28:29,599 Speaker 1: ten percent and fifteen years continuous use, and patients are 1581 01:28:29,840 --> 01:28:34,200 Speaker 1: that are given the advice five milligram kilogram daily dose. 1582 01:28:34,400 --> 01:28:37,200 Speaker 1: But you're taking more than that, right, Yeah, I'm taking 1583 01:28:37,240 --> 01:28:40,680 Speaker 1: four hundred milligrams a day. Okay, Well, I think you 1584 01:28:40,800 --> 01:28:43,200 Speaker 1: probably have you're probably a prime candidate. You can check 1585 01:28:43,280 --> 01:28:45,400 Speaker 1: with your doctor that would probably need to get the 1586 01:28:45,479 --> 01:28:49,960 Speaker 1: eyes examined more often. Correct correct, But like I say, 1587 01:28:50,360 --> 01:28:53,280 Speaker 1: I as far as I know, I be fine. Other 1588 01:28:53,400 --> 01:28:58,000 Speaker 1: than I'm just old age right. Well, anyway, you know 1589 01:28:58,080 --> 01:29:01,599 Speaker 1: what addectotally, as the President said, they're looking for people 1590 01:29:03,040 --> 01:29:06,680 Speaker 1: that have been taking hydroxy chloroquin for either lupus or 1591 01:29:06,760 --> 01:29:10,880 Speaker 1: rheumatoid arthritis that have contracted COVID nineteen. So far they 1592 01:29:10,960 --> 01:29:13,280 Speaker 1: can't find them. If anyone is in that category, I 1593 01:29:13,479 --> 01:29:15,920 Speaker 1: urge you to go to doctor Oz's website. He's looking 1594 01:29:16,000 --> 01:29:20,080 Speaker 1: for you. Anyway, Thanks, Brian, Glad you're doing okay. Julia 1595 01:29:20,160 --> 01:29:24,040 Speaker 1: is in California. She's been taking plaque Winnel for lupus, 1596 01:29:24,360 --> 01:29:26,720 Speaker 1: which is the same thing as hydroxy chloroquin. How are you. 1597 01:29:27,920 --> 01:29:30,920 Speaker 1: I'm good. Nice to uh to speak with you, Sean. 1598 01:29:31,439 --> 01:29:34,639 Speaker 1: How many years you've been taking it? Oh? Shoot since 1599 01:29:35,040 --> 01:29:40,360 Speaker 1: ninety three? Wow? Time for lupus. And of course I 1600 01:29:40,560 --> 01:29:43,800 Speaker 1: was at three Uh well, I was at three pills 1601 01:29:43,840 --> 01:29:45,960 Speaker 1: a day at one point in my life, and I 1602 01:29:46,080 --> 01:29:51,200 Speaker 1: didn't the doctor with the hydro hydro. You say three 1603 01:29:51,280 --> 01:29:54,000 Speaker 1: pills a day? Were they two hundred milligram pills each. 1604 01:29:54,080 --> 01:29:59,080 Speaker 1: They were yes each you know, I experienced some stomach ache, 1605 01:29:59,160 --> 01:30:03,719 Speaker 1: but other and that um, it did take care the lupas. 1606 01:30:03,960 --> 01:30:07,280 Speaker 1: Uh And now today my doctor has since tooken me 1607 01:30:07,400 --> 01:30:11,080 Speaker 1: off because my lupas is a revolution. Um. But you 1608 01:30:12,000 --> 01:30:14,280 Speaker 1: they explain, you have to own the doctor or you know, 1609 01:30:14,960 --> 01:30:17,479 Speaker 1: every three months. I went get your blood tests every 1610 01:30:17,520 --> 01:30:19,920 Speaker 1: three months when I was taken a high of a dose, 1611 01:30:20,360 --> 01:30:24,439 Speaker 1: and then later it dropped to about every six months 1612 01:30:24,680 --> 01:30:27,400 Speaker 1: to get my eyes and my blood because it will 1613 01:30:27,600 --> 01:30:29,760 Speaker 1: you know, any like any kind of medication, you know, 1614 01:30:29,840 --> 01:30:32,880 Speaker 1: it'll it'll affect you. Um. So they checked my my 1615 01:30:33,040 --> 01:30:35,960 Speaker 1: liver to make sure it's still doing good and uh um, 1616 01:30:36,080 --> 01:30:39,280 Speaker 1: the doctors know what they're doing and the drug work 1617 01:30:39,400 --> 01:30:41,640 Speaker 1: for what it needed. And on top of that, I 1618 01:30:41,720 --> 01:30:43,960 Speaker 1: was I was just tripping because I was like, I 1619 01:30:44,200 --> 01:30:49,000 Speaker 1: never ever got the fluid. That's interesting, Julie. See that's 1620 01:30:49,280 --> 01:30:51,120 Speaker 1: that's what we're trying to get. This could be a 1621 01:30:51,200 --> 01:30:54,800 Speaker 1: prophylacticum or anyway, I gotta let you go here. Um, 1622 01:30:54,960 --> 01:30:57,200 Speaker 1: we're gonna take the president stepping to the podium for 1623 01:30:57,280 --> 01:30:59,599 Speaker 1: the stations along the Sean Hannity Show Network will take 1624 01:30:59,640 --> 01:31:02,400 Speaker 1: this to the end of the show for full coverage, 1625 01:31:02,640 --> 01:31:04,799 Speaker 1: and we have Hannity tonight at nine the Vice President, 1626 01:31:04,880 --> 01:31:07,439 Speaker 1: also doctor Roz and much more. We'll see it then 1627 01:31:07,520 --> 01:31:10,480 Speaker 1: back here tomorrow. But to the task Force, the Coronavirus 1628 01:31:10,520 --> 01:31:28,360 Speaker 1: task Force briefing, Thank you very much, thank you, thank you. 1629 01:31:30,880 --> 01:31:34,920 Speaker 1: This is a holy week when religious believers, of course 1630 01:31:34,960 --> 01:31:39,000 Speaker 1: the nation will observe Passover, Good Friday and Easter. Millions 1631 01:31:39,040 --> 01:31:44,120 Speaker 1: of Jewish families begin Passover at sundown tonight, a sacred, 1632 01:31:44,280 --> 01:31:49,400 Speaker 1: unbroken tradition that traces back to the ancient land of Egypt. 1633 01:31:50,400 --> 01:31:54,519 Speaker 1: And on Sunday we celebrate our beautiful, wonderful Easter, which 1634 01:31:54,560 --> 01:31:57,720 Speaker 1: we all look forward to, and we're going to have 1635 01:31:57,840 --> 01:32:04,000 Speaker 1: many Easters together in churches in the future. We're getting closer. 1636 01:32:04,080 --> 01:32:07,200 Speaker 1: You see the numbers. We're getting much closer to getting 1637 01:32:07,240 --> 01:32:10,920 Speaker 1: our country back to the way it was. We have 1638 01:32:11,160 --> 01:32:14,920 Speaker 1: now an extra two countries that have been attacked, one 1639 01:32:15,080 --> 01:32:19,840 Speaker 1: eighty four. They're being attacked as we speak. But we'll 1640 01:32:19,880 --> 01:32:22,920 Speaker 1: all win some point. We're going to all win. We're 1641 01:32:22,960 --> 01:32:26,439 Speaker 1: going to do it sooner than people think. Earlier today, 1642 01:32:26,479 --> 01:32:31,680 Speaker 1: I spoke with ten thousand of America's faith leaders to 1643 01:32:31,840 --> 01:32:34,400 Speaker 1: thank them for raising the spirits of our people during 1644 01:32:34,439 --> 01:32:39,360 Speaker 1: these very difficult days. While we may be physically apart, 1645 01:32:40,520 --> 01:32:42,840 Speaker 1: we can use this time to pray, to reflect, and 1646 01:32:42,960 --> 01:32:47,040 Speaker 1: to focus on our personal relationship with God. I also 1647 01:32:47,160 --> 01:32:50,600 Speaker 1: spoke with more than three thousand mayors, county commissioners, and 1648 01:32:51,160 --> 01:32:54,840 Speaker 1: state and tribal leaders to provide an update on our 1649 01:32:54,880 --> 01:33:00,880 Speaker 1: administration's ongoing drive to beat the virus, to rush the virus. 1650 01:33:00,960 --> 01:33:04,479 Speaker 1: And that's happening. That's happening. I think if you look 1651 01:33:04,640 --> 01:33:07,080 Speaker 1: a little bit more quickly than people thought, maybe a 1652 01:33:07,160 --> 01:33:12,960 Speaker 1: lot more quickly, I hope. And it's something that all 1653 01:33:13,040 --> 01:33:15,479 Speaker 1: over the world we're watching. But people are watching us 1654 01:33:16,240 --> 01:33:18,680 Speaker 1: and seeing what we're doing, and they're very impressed. We're 1655 01:33:18,720 --> 01:33:22,120 Speaker 1: dealing with many countries right now, many many countries, and 1656 01:33:22,479 --> 01:33:28,760 Speaker 1: we're giving them whatever information we're able to lean. I 1657 01:33:28,920 --> 01:33:33,240 Speaker 1: just spoke with the representatives of the UK, and I 1658 01:33:33,439 --> 01:33:37,840 Speaker 1: think that their great Prime Minister is doing much better today, 1659 01:33:38,000 --> 01:33:40,960 Speaker 1: or at least better. But certainly he's had a tough 1660 01:33:41,040 --> 01:33:44,000 Speaker 1: bout and he's still going through a tough time, but 1661 01:33:44,320 --> 01:33:46,960 Speaker 1: he seems to be doing better and that's good. And 1662 01:33:47,080 --> 01:33:52,360 Speaker 1: we said our regards to Boris and his family and 1663 01:33:52,840 --> 01:33:55,640 Speaker 1: his friends, all of the people that really love him. 1664 01:33:55,960 --> 01:33:59,800 Speaker 1: He's become a very popular before this happened, became a 1665 01:34:00,040 --> 01:34:02,600 Speaker 1: very popular prime minister. He's doing an excellent job. He 1666 01:34:02,760 --> 01:34:07,240 Speaker 1: loves their country, he loves our country. So we appreciate 1667 01:34:07,320 --> 01:34:09,880 Speaker 1: everything he's done, and hopefully he's going to be okay. 1668 01:34:11,240 --> 01:34:13,760 Speaker 1: Speaking of great people and people that have done a 1669 01:34:13,800 --> 01:34:17,400 Speaker 1: fantastic job, I have Secretary of State Mike Pompeo with us, 1670 01:34:18,120 --> 01:34:20,559 Speaker 1: and I'd like to ask Mike to say a few 1671 01:34:20,640 --> 01:34:23,639 Speaker 1: words and then I think what we'll do in order 1672 01:34:23,680 --> 01:34:26,360 Speaker 1: to get him back to the State Department. We'll take 1673 01:34:26,439 --> 01:34:30,479 Speaker 1: some questions and we'll then go on with the rest 1674 01:34:30,520 --> 01:34:32,160 Speaker 1: of what I'm going to say. Then we'll take some 1675 01:34:32,320 --> 01:34:35,559 Speaker 1: questions after that, and then Vice President Pence will take over. 1676 01:34:35,680 --> 01:34:42,000 Speaker 1: So Mike Pumpeo fla thank you, mister President. Under the 1677 01:34:42,040 --> 01:34:44,200 Speaker 1: Presidence leadership, my team and at the State Department are 1678 01:34:44,240 --> 01:34:46,760 Speaker 1: doing our part to protect the American people from the 1679 01:34:46,880 --> 01:34:50,320 Speaker 1: virus and importantly to get them home. As you know, 1680 01:34:50,479 --> 01:34:52,799 Speaker 1: when many countries shut down their rail lines, their buses, 1681 01:34:52,920 --> 01:34:55,719 Speaker 1: their infrastructure systems, the capacity to get out of those countries, 1682 01:34:55,760 --> 01:34:58,160 Speaker 1: they were trapped. They were stranded. The State Department swung 1683 01:34:58,240 --> 01:35:01,080 Speaker 1: into action. Since j you're twenty ninth, we have Now 1684 01:35:01,120 --> 01:35:05,040 Speaker 1: we're patriated over fifty thousand United States citizens back to 1685 01:35:05,200 --> 01:35:09,000 Speaker 1: their homes for more than ninety countries, more than four 1686 01:35:09,160 --> 01:35:11,559 Speaker 1: hundred ninety flights back to the United States from all 1687 01:35:11,560 --> 01:35:16,679 Speaker 1: across the world. This worldwide scale of our repatriation efforts 1688 01:35:16,800 --> 01:35:20,320 Speaker 1: is without parallel in our lifetime. We are coordinating with 1689 01:35:20,400 --> 01:35:25,439 Speaker 1: foreign governments, militaries, airport authorities, medical units, transportation companies, hotels, 1690 01:35:25,520 --> 01:35:27,479 Speaker 1: you name it. We're working with them to make sure 1691 01:35:27,520 --> 01:35:30,320 Speaker 1: the American people get back to be with their families. 1692 01:35:30,360 --> 01:35:32,960 Speaker 1: Who can see behind me the map of the flights 1693 01:35:33,040 --> 01:35:36,639 Speaker 1: that we have brought back people from all across the world. 1694 01:35:37,000 --> 01:35:38,400 Speaker 1: Every day I get a chance to hear some of 1695 01:35:38,439 --> 01:35:41,080 Speaker 1: the remarkable stories from our team. Let me give you 1696 01:35:41,120 --> 01:35:43,960 Speaker 1: just a couple of examples. Our mission in Peru working 1697 01:35:44,040 --> 01:35:46,879 Speaker 1: with the Peruvian military and police forces to send riverboats 1698 01:35:46,960 --> 01:35:50,479 Speaker 1: up up the river to get citizens that were stranded 1699 01:35:50,560 --> 01:35:55,439 Speaker 1: deep inside the Amazon Forest. Our mission in Nepal made 1700 01:35:55,439 --> 01:35:57,360 Speaker 1: sure that a woman who was running low on medication 1701 01:35:57,439 --> 01:36:00,439 Speaker 1: could get what she needed at pharmacy before boarding an 1702 01:36:00,479 --> 01:36:04,519 Speaker 1: evacuation flight that brought her back here. In Honduras. After 1703 01:36:04,560 --> 01:36:07,960 Speaker 1: the government posed very strict twenty four seven curfew enclosed airports, 1704 01:36:08,360 --> 01:36:11,840 Speaker 1: our embassies sprang into action for stranded Americans, thousands of them. 1705 01:36:12,439 --> 01:36:13,960 Speaker 1: Three year old boy, he told one of our consular 1706 01:36:14,000 --> 01:36:15,519 Speaker 1: officers just before we board to the flight, thank you 1707 01:36:15,520 --> 01:36:18,760 Speaker 1: for helping me get back come to my dad pretty neat. 1708 01:36:19,880 --> 01:36:22,599 Speaker 1: We received similar messages from lots of people. They're proud 1709 01:36:22,640 --> 01:36:25,120 Speaker 1: to know that their country will not leave them strand 1710 01:36:25,160 --> 01:36:27,880 Speaker 1: and we'll get to get him back home. One woman 1711 01:36:27,920 --> 01:36:30,320 Speaker 1: wrote quote, I was in tears when I received the 1712 01:36:30,400 --> 01:36:32,680 Speaker 1: email approving our flight back to the United States. God 1713 01:36:32,720 --> 01:36:36,200 Speaker 1: blessed the United States of America. And another said I 1714 01:36:36,439 --> 01:36:39,360 Speaker 1: felt like I had allies there that actually treated me 1715 01:36:39,439 --> 01:36:42,000 Speaker 1: like a person or a family member, not just a number. 1716 01:36:43,080 --> 01:36:46,280 Speaker 1: The repatriation task for the State Department, our consular officers 1717 01:36:46,320 --> 01:36:49,040 Speaker 1: have done great work. I want to thank our partners 1718 01:36:49,120 --> 01:36:50,920 Speaker 1: in the Department Offense who have helped with some of 1719 01:36:50,960 --> 01:36:54,719 Speaker 1: these flights back home, and other government agencies, our sisters 1720 01:36:55,000 --> 01:36:57,720 Speaker 1: and brothers across the United States government and this administration 1721 01:36:58,000 --> 01:37:00,960 Speaker 1: that have helped get these people back. And then, lastly, 1722 01:37:01,000 --> 01:37:03,759 Speaker 1: aside from our repatriation efforts, we continue to help countries 1723 01:37:03,800 --> 01:37:06,880 Speaker 1: around the world as well. We've got CDC officials helping 1724 01:37:06,920 --> 01:37:09,479 Speaker 1: these countries with expertise and all the things that these 1725 01:37:09,560 --> 01:37:12,000 Speaker 1: countries need to get their citizens safe and healthy and 1726 01:37:12,080 --> 01:37:14,080 Speaker 1: back so that we can get the economy all across 1727 01:37:14,160 --> 01:37:16,599 Speaker 1: the world, the global economy back on its feet when 1728 01:37:16,640 --> 01:37:20,400 Speaker 1: this crisis is over. Thank you, Thank you. Stick for 1729 01:37:20,439 --> 01:37:23,000 Speaker 1: a little while. We'll see if anybody has any questions 1730 01:37:23,080 --> 01:37:28,600 Speaker 1: for a Secretary of State. Anybody please, mister secretary. And 1731 01:37:28,680 --> 01:37:31,120 Speaker 1: that's an amazing effort that you have made. How do 1732 01:37:31,200 --> 01:37:34,400 Speaker 1: you know when you're gone, because I imagine there are 1733 01:37:34,400 --> 01:37:37,000 Speaker 1: Americans on all corners of the world, and you're always 1734 01:37:37,000 --> 01:37:38,400 Speaker 1: someone's going to pop up and say, I want to 1735 01:37:38,400 --> 01:37:42,120 Speaker 1: go home now. It's a great yeah, it's a great question. 1736 01:37:42,200 --> 01:37:45,160 Speaker 1: We still have several thousand people that we're working. They 1737 01:37:45,400 --> 01:37:48,479 Speaker 1: identify themselves. Every day, new people find themselves in a 1738 01:37:48,520 --> 01:37:51,720 Speaker 1: difficult place. Look, we're gonna be done when people can 1739 01:37:51,800 --> 01:37:54,120 Speaker 1: travel on their own again. They use people traveled abroad 1740 01:37:54,200 --> 01:37:57,120 Speaker 1: on vacations or with their church, and we're intending to 1741 01:37:57,200 --> 01:37:58,760 Speaker 1: get back on their own. We hope that day comes 1742 01:37:58,800 --> 01:38:00,960 Speaker 1: pretty soon where that have to rely on the State 1743 01:38:01,000 --> 01:38:03,400 Speaker 1: Department to get them back home. But know this, in 1744 01:38:03,520 --> 01:38:06,680 Speaker 1: the meantime, we're devoting all the resources we have to 1745 01:38:06,760 --> 01:38:09,280 Speaker 1: get them there, and often in difficult places. They're not 1746 01:38:09,400 --> 01:38:11,839 Speaker 1: in the capital, near the airport, or the roads are closed, 1747 01:38:11,880 --> 01:38:13,680 Speaker 1: and so it's not just a matter of getting a 1748 01:38:13,720 --> 01:38:15,280 Speaker 1: flight down there. There's a lot of work that has 1749 01:38:15,320 --> 01:38:17,519 Speaker 1: to be done to coordinate to make it all happen 1750 01:38:17,560 --> 01:38:19,360 Speaker 1: and get those people all available, so they're sitting there. 1751 01:38:19,360 --> 01:38:21,240 Speaker 1: When the flight lands, they can get on the plane 1752 01:38:21,280 --> 01:38:23,400 Speaker 1: and then we can get them back home. We still 1753 01:38:23,439 --> 01:38:25,439 Speaker 1: have several thousand we're working on it. We chip away 1754 01:38:25,439 --> 01:38:27,680 Speaker 1: at that number every day. But new citizens go to 1755 01:38:27,720 --> 01:38:30,720 Speaker 1: the State Department website, identify themselves and say I need 1756 01:38:30,760 --> 01:38:32,360 Speaker 1: a little bit of help in some way, and we 1757 01:38:32,439 --> 01:38:34,200 Speaker 1: do our best to get that to them just as 1758 01:38:34,280 --> 01:38:36,400 Speaker 1: quickly as we can keep it up. We're going to 1759 01:38:36,479 --> 01:38:38,480 Speaker 1: keep it up as long as we can have resources 1760 01:38:38,560 --> 01:38:41,080 Speaker 1: to do it. And there is a neat Yes, sir, 1761 01:38:42,280 --> 01:38:45,200 Speaker 1: how many of these staffers have tested positive for coronavirus 1762 01:38:45,280 --> 01:38:47,960 Speaker 1: that they've been tested or they're going into quarantine? And 1763 01:38:48,479 --> 01:38:52,160 Speaker 1: what does this do to diplomatic efforts overseas? If you're 1764 01:38:52,200 --> 01:38:56,920 Speaker 1: pulling fifty thousand people out of state, national, capitalist nation 1765 01:38:56,960 --> 01:38:59,599 Speaker 1: capitals all over the world. So the vast majorities fifty 1766 01:38:59,600 --> 01:39:03,240 Speaker 1: thousand weren't our officers. These were ordinary citizens who were 1767 01:39:03,280 --> 01:39:06,559 Speaker 1: there traveling for business or for commercial or for their 1768 01:39:07,040 --> 01:39:08,680 Speaker 1: trip of a lifetime. We've seen some of that in 1769 01:39:08,680 --> 01:39:11,000 Speaker 1: the cruise ships, but of course they're stranded all over 1770 01:39:11,080 --> 01:39:13,680 Speaker 1: the world. So our embassies saved for the one that 1771 01:39:13,840 --> 01:39:15,960 Speaker 1: is in Wuhan, which we did pull everybody out of. 1772 01:39:16,280 --> 01:39:18,479 Speaker 1: The rest of our facilities around the world are all open. 1773 01:39:19,240 --> 01:39:21,839 Speaker 1: We've had a handful of our folks now test positive, 1774 01:39:22,600 --> 01:39:24,680 Speaker 1: but we feel like we have a good handle on it, 1775 01:39:24,800 --> 01:39:26,479 Speaker 1: and we're doing everything we can to make sure that 1776 01:39:26,760 --> 01:39:28,799 Speaker 1: not just the State's Department Affairs was but our Department 1777 01:39:28,840 --> 01:39:30,880 Speaker 1: Offense colleagues that are working on these missions as well, 1778 01:39:30,880 --> 01:39:33,000 Speaker 1: are doing so in a way that reduces risks to 1779 01:39:33,040 --> 01:39:36,760 Speaker 1: them and their well being. Also, yes, ma'am, thank you 1780 01:39:36,800 --> 01:39:39,599 Speaker 1: so much. Do you feel like China help with help 1781 01:39:39,680 --> 01:39:42,280 Speaker 1: critical information from the United States and will there be 1782 01:39:42,360 --> 01:39:45,320 Speaker 1: any consequences for that? You know, this is not the 1783 01:39:45,439 --> 01:39:48,880 Speaker 1: time for retribution, but it is still the time for 1784 01:39:49,320 --> 01:39:54,000 Speaker 1: clarity and transparency. We're still working on this problem set. 1785 01:39:54,040 --> 01:39:56,680 Speaker 1: There's still data that these good people need so that 1786 01:39:56,760 --> 01:39:59,759 Speaker 1: they can perform their analysis of how to both develop 1787 01:39:59,840 --> 01:40:02,600 Speaker 1: their therapeutics and a vaccine and to understand where this 1788 01:40:02,800 --> 01:40:07,080 Speaker 1: virus is. So every country, China included, every country needs 1789 01:40:07,120 --> 01:40:09,160 Speaker 1: to be transparent about what's gone on in their country. 1790 01:40:09,479 --> 01:40:11,439 Speaker 1: They need to share that data. We share ours with 1791 01:40:11,520 --> 01:40:13,519 Speaker 1: the world so that the best scientists in the world 1792 01:40:13,560 --> 01:40:16,320 Speaker 1: can get to the right conclusions and bring this economy, 1793 01:40:16,400 --> 01:40:18,320 Speaker 1: this global economy, back to the place that we all 1794 01:40:18,360 --> 01:40:20,320 Speaker 1: wanted to be as quickly as we can. Every country