1 00:00:00,120 --> 00:00:02,480 Speaker 1: All right, gladiate with us right out our toll free 2 00:00:02,480 --> 00:00:04,800 Speaker 1: telephone number. It's eight hundred and ninety four one sean 3 00:00:05,160 --> 00:00:07,280 Speaker 1: if you want to join us. It's the best of times. 4 00:00:07,320 --> 00:00:09,959 Speaker 1: You see the best in people, and I must say 5 00:00:10,000 --> 00:00:12,640 Speaker 1: that is the majority of people, and of course you 6 00:00:12,720 --> 00:00:15,920 Speaker 1: get the insane, you know, worst in people, which is 7 00:00:15,960 --> 00:00:18,200 Speaker 1: sad but predictable, and there's not much you can do. 8 00:00:18,560 --> 00:00:22,119 Speaker 1: There is a lot of news about hydroxy chloroquin that 9 00:00:22,160 --> 00:00:25,239 Speaker 1: I want to share with you, including the Novartis CEO 10 00:00:25,480 --> 00:00:29,440 Speaker 1: producing this, saying it's the biggest hope against COVID nineteen. 11 00:00:30,680 --> 00:00:33,960 Speaker 1: The President in his clinical trial will know within days. 12 00:00:34,040 --> 00:00:37,159 Speaker 1: The eleven hundred people in New York have been undergoing treatment. 13 00:00:38,240 --> 00:00:42,839 Speaker 1: We know the Israelis have already sent Teva pharmaceuticals. They 14 00:00:42,840 --> 00:00:48,200 Speaker 1: gave us six million doses of hydroxy chloroquin, and they're 15 00:00:48,240 --> 00:00:52,400 Speaker 1: sending another four million doses. I know that within the 16 00:00:52,479 --> 00:00:55,480 Speaker 1: United States that is also happening at a pretty production, 17 00:00:55,520 --> 00:01:00,720 Speaker 1: at a very high level. The FDA announced emergency approval 18 00:01:00,800 --> 00:01:06,880 Speaker 1: for the treatment hydroxy chloroquin. Florida's Governor DeSantis decided to 19 00:01:07,000 --> 00:01:11,880 Speaker 1: order up a rush shipment of hydroxy chloroquin I have 20 00:01:11,920 --> 00:01:14,040 Speaker 1: a very dear friend of mine. I'm not going to 21 00:01:14,120 --> 00:01:17,479 Speaker 1: give all the details. When was it Monday last week? 22 00:01:17,720 --> 00:01:22,360 Speaker 1: Linda two class Okay, very good friend of mine text me. Now, 23 00:01:22,400 --> 00:01:24,000 Speaker 1: I was busy that day. I didn't get the text 24 00:01:24,000 --> 00:01:29,000 Speaker 1: till like two hours later, and he writes me, goes, 25 00:01:29,040 --> 00:01:32,280 Speaker 1: I'm oh, I may have it. I'm in the hospital. 26 00:01:32,560 --> 00:01:37,880 Speaker 1: I have pneumonia. I'm like, I lost my mind and 27 00:01:38,000 --> 00:01:40,640 Speaker 1: it was deafcom five in my head. He had not 28 00:01:40,720 --> 00:01:43,000 Speaker 1: heard of it. But which, by the way, why would 29 00:01:43,040 --> 00:01:45,760 Speaker 1: anyone know a lot about hydroxy chloroquin. Right, it's an 30 00:01:45,760 --> 00:01:50,360 Speaker 1: anti malaria drug, it's a lupus drug. And anyway, long 31 00:01:50,480 --> 00:01:52,720 Speaker 1: story short, I don't want I don't know if he'd 32 00:01:52,760 --> 00:01:55,680 Speaker 1: want me to tell the story. But doctor friends of mine, 33 00:01:55,800 --> 00:01:59,120 Speaker 1: friends of this show, immediately got on the phone with 34 00:01:59,200 --> 00:02:02,720 Speaker 1: his doctor, an amazing guy. The guy goes to war 35 00:02:03,520 --> 00:02:07,400 Speaker 1: to get this hydroxy chloroquin because he's were at all 36 00:02:07,400 --> 00:02:09,640 Speaker 1: the data on it. He believed in it. This was 37 00:02:09,639 --> 00:02:13,560 Speaker 1: having a hard time getting it, and he now left 38 00:02:13,560 --> 00:02:17,520 Speaker 1: the hospital today. It was a little rough there for 39 00:02:17,560 --> 00:02:20,880 Speaker 1: a couple of days, temperature up and down like crazy. Tayland. 40 00:02:20,919 --> 00:02:23,000 Speaker 1: I was able to take care of that aspect of it, 41 00:02:23,360 --> 00:02:26,320 Speaker 1: but in the right noses. You know, I'll just and 42 00:02:26,680 --> 00:02:29,160 Speaker 1: we'll keep reading about I urge you don't take my 43 00:02:29,240 --> 00:02:32,120 Speaker 1: word for it. I'm not a doctor, but I talked 44 00:02:32,120 --> 00:02:35,799 Speaker 1: to all these doctors and they're all, without pretty much exception, 45 00:02:35,880 --> 00:02:39,320 Speaker 1: telling me the same thing. But read it yourself. I'll 46 00:02:39,360 --> 00:02:42,320 Speaker 1: get into more details of that throughout the program today, 47 00:02:42,680 --> 00:02:46,399 Speaker 1: because what does that mean if it is what we 48 00:02:46,560 --> 00:02:50,239 Speaker 1: think it is, and that is that it stops people 49 00:02:50,360 --> 00:02:53,720 Speaker 1: from dying. And I'll explain in more details. The show 50 00:02:53,760 --> 00:02:56,079 Speaker 1: goes on how it works, how they think it works, 51 00:02:56,080 --> 00:02:58,760 Speaker 1: what the study show about how it works. Doctor Oz, 52 00:02:58,800 --> 00:03:03,240 Speaker 1: I think it's done tremendous service to the country. He's 53 00:03:03,280 --> 00:03:07,280 Speaker 1: been featuring patients that got well, and he's been featuring 54 00:03:07,320 --> 00:03:10,560 Speaker 1: the doctors that are prescribing it. And last Friday night 55 00:03:10,600 --> 00:03:13,840 Speaker 1: on Hannity he broke the news that there was that 56 00:03:13,960 --> 00:03:19,799 Speaker 1: first French researcher small clinical trial had new updated information 57 00:03:20,440 --> 00:03:23,880 Speaker 1: and it was seventy nine out of eighty people. Not bad. 58 00:03:24,000 --> 00:03:26,240 Speaker 1: I'll take that. I don't want anybody to die. Remember, 59 00:03:26,280 --> 00:03:32,360 Speaker 1: we're pro life. We believe in life. So it's you know, look, 60 00:03:32,560 --> 00:03:39,559 Speaker 1: this is going to be a very hard, bumpy, emotionally 61 00:03:40,640 --> 00:03:45,240 Speaker 1: draining up and down few weeks for the country. Now, 62 00:03:45,280 --> 00:03:48,080 Speaker 1: I watched the president's long press conference yesterday and when 63 00:03:48,080 --> 00:03:52,920 Speaker 1: he announced that he is going to extend the current 64 00:03:53,760 --> 00:03:57,280 Speaker 1: fifteen day you know, we're asking you to help us 65 00:03:57,280 --> 00:03:59,960 Speaker 1: till April the thirtieth. And there was a lot of talk. 66 00:04:00,280 --> 00:04:04,760 Speaker 1: I mean, he had with him his medical experts, doctor 67 00:04:04,760 --> 00:04:09,119 Speaker 1: Bricks and doctor Fauci, and you know, I went back 68 00:04:09,120 --> 00:04:11,120 Speaker 1: and listen to my interviews with doctor Fauci. I had 69 00:04:11,120 --> 00:04:13,760 Speaker 1: won on January twenty seven. I picked up on this 70 00:04:13,800 --> 00:04:16,000 Speaker 1: pretty early when I said, I think it was that 71 00:04:16,040 --> 00:04:18,120 Speaker 1: interview or the twenty eighth the next day. What I 72 00:04:18,160 --> 00:04:20,800 Speaker 1: didn't like about what I was reading. Now, this is 73 00:04:20,839 --> 00:04:24,599 Speaker 1: after the first known case in the United States was 74 00:04:24,680 --> 00:04:28,520 Speaker 1: January twenty first, it's not that long ago. And I 75 00:04:28,560 --> 00:04:33,520 Speaker 1: remember reading that people are asymptomatic apparently for days and days, 76 00:04:34,200 --> 00:04:37,760 Speaker 1: and it's highly contagious. And I said, oh, we got 77 00:04:37,760 --> 00:04:39,600 Speaker 1: to pay attention to that. That's why I put up, 78 00:04:39,680 --> 00:04:41,400 Speaker 1: you know, a timeline of all the things I said, 79 00:04:41,400 --> 00:04:44,360 Speaker 1: because the mob and the media just lies and we 80 00:04:44,480 --> 00:04:46,440 Speaker 1: we were kind of on this from the beginning. Now 81 00:04:46,480 --> 00:04:48,520 Speaker 1: that's separate and apart from the media, and we have 82 00:04:48,600 --> 00:04:51,600 Speaker 1: more examples of how despicable and repulsive they are today, 83 00:04:51,920 --> 00:04:54,240 Speaker 1: and the same with the Democrats. But it was always 84 00:04:54,279 --> 00:04:57,520 Speaker 1: to me just reading this, you know, all this new information, 85 00:04:57,600 --> 00:05:00,760 Speaker 1: reading about that virus, reading about I have no too 86 00:05:00,760 --> 00:05:04,800 Speaker 1: many doctors unfortunately, so I'm always like one of my 87 00:05:04,880 --> 00:05:06,680 Speaker 1: doctors hates me because he goes, all right, you're gonna 88 00:05:06,720 --> 00:05:09,680 Speaker 1: believe me, or you're gonna believe doctor Google, because I'll 89 00:05:09,720 --> 00:05:12,359 Speaker 1: call him thinking I just got a great education, and 90 00:05:12,400 --> 00:05:14,880 Speaker 1: then he's gonna give me a whole new perspective on everything, 91 00:05:14,880 --> 00:05:17,520 Speaker 1: which is kind of funny. But I want to get 92 00:05:17,520 --> 00:05:20,760 Speaker 1: to all that there are things that I think we 93 00:05:20,880 --> 00:05:23,200 Speaker 1: need to know. One thing that I will say right 94 00:05:23,279 --> 00:05:27,440 Speaker 1: up front, and Samaritan Purses. Reverend Franklin Graham will be 95 00:05:27,480 --> 00:05:31,200 Speaker 1: on the program today. They're building right now a hospital 96 00:05:31,320 --> 00:05:34,880 Speaker 1: in Central Park in New York that'll be up and running. 97 00:05:35,120 --> 00:05:39,000 Speaker 1: What in a day they built at New York if 98 00:05:39,000 --> 00:05:40,960 Speaker 1: you don't know, it's on the West Side. It's called 99 00:05:40,960 --> 00:05:45,839 Speaker 1: the Javits Center, and they built the Army Corps of 100 00:05:45,880 --> 00:05:52,920 Speaker 1: Engineers in like four days built a hospital and incredible. 101 00:05:53,520 --> 00:05:57,919 Speaker 1: They're building hospitals in each of the separate counties in 102 00:05:57,960 --> 00:06:00,400 Speaker 1: New York that seemed to be most impact did by 103 00:06:00,440 --> 00:06:03,200 Speaker 1: this outside of New York City because a lot of 104 00:06:03,200 --> 00:06:05,120 Speaker 1: people in New York City decided to head for the 105 00:06:05,160 --> 00:06:08,520 Speaker 1: hills and get out of the city because they wanted 106 00:06:08,560 --> 00:06:10,680 Speaker 1: to avoid bringing the virus, but some of them brought 107 00:06:10,720 --> 00:06:13,520 Speaker 1: them the virus with them unbeknownst to them, they didn't 108 00:06:13,520 --> 00:06:17,320 Speaker 1: know they were asymptomatic. And so now it is really 109 00:06:17,839 --> 00:06:21,080 Speaker 1: concentrated on the outer boroughs of New York, Suffolk County, 110 00:06:21,160 --> 00:06:25,880 Speaker 1: Nassau County, Westchester County, and so hospitals by the Army 111 00:06:25,880 --> 00:06:28,240 Speaker 1: Corps of Engineers being built there. The Javit Center has 112 00:06:28,240 --> 00:06:33,200 Speaker 1: three thousand beds. We watched in amazement as this Navy 113 00:06:33,240 --> 00:06:37,480 Speaker 1: ship Comfort, this Navy hospital ship is now in New 114 00:06:37,600 --> 00:06:41,159 Speaker 1: York a thousand beds there. They're not going to be 115 00:06:41,200 --> 00:06:44,680 Speaker 1: taking in Corona virus patients. They're going to be taken 116 00:06:44,680 --> 00:06:46,799 Speaker 1: in and others to take a lot of the pressure 117 00:06:46,839 --> 00:06:50,200 Speaker 1: off the hospital systems in New York, which is also 118 00:06:50,320 --> 00:06:53,560 Speaker 1: what these other outside hospitals are doing. In other words, 119 00:06:53,560 --> 00:06:56,560 Speaker 1: they are preparing. Okay, we expect this is going to happen. 120 00:06:56,600 --> 00:07:00,400 Speaker 1: This is gonna happen. This is gonna happen. And you 121 00:07:00,440 --> 00:07:05,760 Speaker 1: know what it's like. I watched I watch the media. 122 00:07:06,520 --> 00:07:11,120 Speaker 1: It's it's at a point where it's all the predictable people. 123 00:07:11,840 --> 00:07:15,680 Speaker 1: It's all the same actors, it's all, if you will, 124 00:07:15,760 --> 00:07:19,880 Speaker 1: it's the it's the Russia, Russia people, Ukraine, Ukraine people. 125 00:07:20,560 --> 00:07:25,240 Speaker 1: It's the impeach, impeach people. You know. Now it's Chucky Todd. 126 00:07:25,520 --> 00:07:28,960 Speaker 1: Does Trump have blood on his hands? Asking quid pro 127 00:07:29,080 --> 00:07:33,560 Speaker 1: quote Joe, but doesn't ask him any tough questions whatsoever. Uh, 128 00:07:33,760 --> 00:07:37,400 Speaker 1: you know, you got Roswell Rachel Maddow saying one of 129 00:07:37,440 --> 00:07:40,720 Speaker 1: these ships will be operational in New York Harbor. Trump 130 00:07:40,760 --> 00:07:43,960 Speaker 1: says by next week. That's nonsense. It will not be 131 00:07:44,040 --> 00:07:46,680 Speaker 1: there next week. Well, somebody might want to send a 132 00:07:46,720 --> 00:07:51,000 Speaker 1: picture over to Roswell Rachel, because it's there. Uh Pelosi 133 00:07:51,040 --> 00:07:54,920 Speaker 1: out there blaming Trump for the growing Corona death toll 134 00:07:55,040 --> 00:07:58,400 Speaker 1: on NBC News. I mean, I don't know who's more 135 00:07:58,400 --> 00:08:01,800 Speaker 1: difficult to listen to heart or quid pro quote Joe himself. 136 00:08:02,360 --> 00:08:05,480 Speaker 1: But what were they doing when Donald Trump was putting 137 00:08:05,480 --> 00:08:08,400 Speaker 1: in place? Ten days after this is such a key date. 138 00:08:09,200 --> 00:08:12,800 Speaker 1: The fact that the medium mob and the President's critics 139 00:08:12,880 --> 00:08:17,440 Speaker 1: in the Democratic Party, they can acknowledge one good thing 140 00:08:17,440 --> 00:08:20,000 Speaker 1: that this man has done. He's now we are watching 141 00:08:20,000 --> 00:08:25,240 Speaker 1: a transformation unfold before our eyes. The way pandemics in 142 00:08:25,280 --> 00:08:29,240 Speaker 1: the future will be dealt with will be forever defined 143 00:08:29,320 --> 00:08:33,680 Speaker 1: by the new ways we are acting in this pandemic. 144 00:08:34,320 --> 00:08:37,920 Speaker 1: And I'm not sure everything's perfect. I'm a little worried 145 00:08:37,920 --> 00:08:39,920 Speaker 1: about the economy on the other side of this, but 146 00:08:40,280 --> 00:08:43,640 Speaker 1: you know, we're America will bounce back. It's just certain 147 00:08:43,640 --> 00:08:47,760 Speaker 1: aspects of it I'm questioning. But the idea that we 148 00:08:47,880 --> 00:08:50,960 Speaker 1: had a travel band ten days after the first known 149 00:08:51,040 --> 00:08:54,760 Speaker 1: case in this country, and we have another presidential candidate 150 00:08:54,800 --> 00:08:59,080 Speaker 1: saying it was xenophobic, it was hysterical, and it was fearmongering, 151 00:08:59,240 --> 00:09:02,960 Speaker 1: and he sticks by that stupid position today. You don't 152 00:09:03,160 --> 00:09:08,600 Speaker 1: have to be a medical researcher or scientist to figure 153 00:09:08,640 --> 00:09:12,000 Speaker 1: out that if the travel band had not been put 154 00:09:12,040 --> 00:09:15,520 Speaker 1: in place, followed by the quarantine put in place, followed 155 00:09:15,520 --> 00:09:19,560 Speaker 1: by extending out the travel band and quarantines as the 156 00:09:19,600 --> 00:09:23,000 Speaker 1: President did even through Western Europe, you don't have to 157 00:09:23,000 --> 00:09:26,960 Speaker 1: be a genius to figure out how many, likely what 158 00:09:27,120 --> 00:09:31,080 Speaker 1: tens of thousands of Americans would have contracted the disease 159 00:09:31,400 --> 00:09:34,200 Speaker 1: but for that one action, and then I guess you 160 00:09:34,200 --> 00:09:38,680 Speaker 1: could measure out mathematically or exponentially how many lives could 161 00:09:38,679 --> 00:09:42,439 Speaker 1: have been saved. Now, if this becomes standard and you're 162 00:09:42,440 --> 00:09:44,960 Speaker 1: not going to have people say it's enophobic and hysteria 163 00:09:45,200 --> 00:09:48,559 Speaker 1: and fearmongering, that would mean that the new paradigm shift 164 00:09:48,600 --> 00:09:51,600 Speaker 1: has occurred. And that would mean that travel bands will 165 00:09:51,640 --> 00:09:55,400 Speaker 1: become probably almost automatic, if there's a sense that there 166 00:09:55,480 --> 00:09:59,160 Speaker 1: might be a pandemic. The same with quarantine. Now, the 167 00:09:59,240 --> 00:10:02,800 Speaker 1: drive up test seems after yesterday's press conference, this week 168 00:10:02,880 --> 00:10:07,120 Speaker 1: fifty thousand tests that you will find out in minutes 169 00:10:07,160 --> 00:10:09,959 Speaker 1: and home testing. Now you're gonna see what are you 170 00:10:09,960 --> 00:10:13,120 Speaker 1: gonna see the next few weeks a rapid rise in 171 00:10:13,240 --> 00:10:17,160 Speaker 1: people that show that they either have the virus had 172 00:10:17,200 --> 00:10:20,480 Speaker 1: the virus, and it's gonna be you know, I've never 173 00:10:20,520 --> 00:10:23,360 Speaker 1: watched during any pandemic or any flu. We you lose 174 00:10:23,440 --> 00:10:25,400 Speaker 1: tens of thousands of people every year from the flu, 175 00:10:26,000 --> 00:10:32,400 Speaker 1: you know, cases, confirmed, total deaths. Every life matters, you know, well, 176 00:10:33,080 --> 00:10:35,400 Speaker 1: we want it. That's the whole point is, we want 177 00:10:35,400 --> 00:10:37,800 Speaker 1: to save lives. That's why getting rid of the FDA 178 00:10:37,960 --> 00:10:42,040 Speaker 1: rules That's why these public private partnerships matter. That's why 179 00:10:42,080 --> 00:10:45,240 Speaker 1: the President bringing in all of those people in the 180 00:10:45,320 --> 00:10:48,679 Speaker 1: healthcare industry and pharmaceutical industry and the big box stores 181 00:10:48,760 --> 00:10:53,080 Speaker 1: industry and business is small and large and everyone in 182 00:10:53,120 --> 00:10:58,040 Speaker 1: between mattered, you know, moving FDA approval. Now, we're gonna 183 00:10:58,040 --> 00:11:01,480 Speaker 1: get rid of that instantaneously. We're gonna err on the 184 00:11:01,559 --> 00:11:05,000 Speaker 1: side of giving people hoping a chance. And so far 185 00:11:05,080 --> 00:11:08,240 Speaker 1: the numbers look pretty good to me. And we'll check 186 00:11:08,280 --> 00:11:10,880 Speaker 1: in with our medical A team later in the program. 187 00:11:10,960 --> 00:11:14,959 Speaker 1: That's all new. This never happened before. And I watched 188 00:11:14,960 --> 00:11:18,239 Speaker 1: Biden and I'm like, uh, okay, you you had a pandemic. 189 00:11:18,800 --> 00:11:22,640 Speaker 1: Sixty point eight million Americans contracted H one N one 190 00:11:22,840 --> 00:11:25,440 Speaker 1: or N one h one of your Joe, sixty point 191 00:11:25,440 --> 00:11:29,800 Speaker 1: eight million, hundreds of thousands of Americans were hospitalized because 192 00:11:29,840 --> 00:11:34,520 Speaker 1: of N one h one, according to Joe. Before Obama 193 00:11:34,640 --> 00:11:37,160 Speaker 1: himself as Health and Human Services Secretary, he said it 194 00:11:37,200 --> 00:11:40,560 Speaker 1: was an emergency. Before he declared it of national emergency. 195 00:11:41,000 --> 00:11:44,200 Speaker 1: It was six months later a thousand dead Americans and 196 00:11:44,559 --> 00:11:48,400 Speaker 1: tens of thousands had contracted the disease, and the media 197 00:11:48,600 --> 00:11:53,760 Speaker 1: fawned over him. You didn't see the total confirmed, etc. Etc. 198 00:11:54,160 --> 00:11:57,680 Speaker 1: Sites up like there, look the numbers because no country 199 00:11:57,800 --> 00:12:04,080 Speaker 1: is testing like we now, are are going to seem apocalyptic. 200 00:12:04,679 --> 00:12:07,640 Speaker 1: It Actually there is another way to look at it. 201 00:12:08,040 --> 00:12:11,640 Speaker 1: We need to know because if we know who might 202 00:12:11,720 --> 00:12:14,920 Speaker 1: have the virus, we can protect the rest of us 203 00:12:14,960 --> 00:12:18,680 Speaker 1: that don't have the virus from getting the virus. That's 204 00:12:18,720 --> 00:12:21,360 Speaker 1: why it is a good thing that they've been able 205 00:12:21,400 --> 00:12:25,439 Speaker 1: to in record time sequence this thing, get the testing 206 00:12:25,440 --> 00:12:28,520 Speaker 1: to see if you have it. And in the meantime, 207 00:12:28,559 --> 00:12:33,360 Speaker 1: they're building up convalescent plasma where somebody that recovers from corona, 208 00:12:33,480 --> 00:12:37,560 Speaker 1: then they extract the plasma plasma plasma in their blood 209 00:12:38,240 --> 00:12:41,319 Speaker 1: and then they infuse it into really really sick people. 210 00:12:41,320 --> 00:12:45,960 Speaker 1: That is showing a lot of promise, like hydrochloroquin. I mean, 211 00:12:46,040 --> 00:12:48,480 Speaker 1: all of this stuff is new. To watch the Defense 212 00:12:48,559 --> 00:12:51,720 Speaker 1: Production Act and then watch all of America's companies step 213 00:12:51,800 --> 00:12:54,600 Speaker 1: up like we've never seen before to help their fellow Americans. 214 00:12:55,200 --> 00:12:58,679 Speaker 1: It's inspiring the best of times. And then you have 215 00:12:58,760 --> 00:13:01,520 Speaker 1: those that are the same group of people. They will 216 00:13:01,559 --> 00:13:05,040 Speaker 1: politicize bludgeon. It doesn't matter Donald Trump, as I said 217 00:13:05,080 --> 00:13:08,760 Speaker 1: so many times before this ever happened. If Donald Trump 218 00:13:08,760 --> 00:13:12,760 Speaker 1: announced the cure for cancer and gave every American five 219 00:13:12,800 --> 00:13:16,520 Speaker 1: million dollars. They'd want to impeach him. It's sick, it's 220 00:13:16,720 --> 00:13:21,080 Speaker 1: it's you know, But I'm I'm too. I find it 221 00:13:21,120 --> 00:13:24,560 Speaker 1: too inspiring all the good I see to really get 222 00:13:24,559 --> 00:13:26,880 Speaker 1: caught up in it. But that's what's at stake in 223 00:13:26,880 --> 00:13:30,360 Speaker 1: two hundred and eighteen days. All right, as we roll along, 224 00:13:30,400 --> 00:13:33,320 Speaker 1: Sean Hannity show, glad you are with us, best of times, 225 00:13:33,320 --> 00:13:36,360 Speaker 1: worth the times, and you know, I like to just 226 00:13:36,400 --> 00:13:39,520 Speaker 1: look big picture here and when you think, wow, if 227 00:13:39,559 --> 00:13:43,880 Speaker 1: we now implement all that we're learning here down the 228 00:13:43,960 --> 00:13:47,200 Speaker 1: road which had never been done before, how many future 229 00:13:47,240 --> 00:13:50,080 Speaker 1: lives can be saved? Hannity, How could you talk about 230 00:13:50,120 --> 00:13:54,560 Speaker 1: that at this time? Well, it's something that matters, you know, 231 00:13:54,679 --> 00:14:01,000 Speaker 1: Transformational shifts matter. Making decisions that are controversy at the 232 00:14:01,160 --> 00:14:06,559 Speaker 1: time but turn out to be incredibly insightful and helpful. 233 00:14:07,240 --> 00:14:10,640 Speaker 1: We need to learn from those things. We are seeing 234 00:14:10,679 --> 00:14:13,680 Speaker 1: a pattern unfold. I've mentioned if the pattern holds. If 235 00:14:13,720 --> 00:14:17,880 Speaker 1: the pattern holds like China, South Korea, although I'm still 236 00:14:17,960 --> 00:14:20,720 Speaker 1: not confident we get all the correct information out of China, 237 00:14:20,720 --> 00:14:22,520 Speaker 1: although we do have our people on the ground there. 238 00:14:22,560 --> 00:14:26,240 Speaker 1: But we're seeing some anecdotal evidence in Seattle, according to 239 00:14:26,280 --> 00:14:30,200 Speaker 1: the New York Times sleazy paper, that they are home 240 00:14:30,240 --> 00:14:33,560 Speaker 1: of the first known coronavirus. That's where the virus claimed 241 00:14:33,600 --> 00:14:36,000 Speaker 1: thirty seven of their first fifty victims at that one 242 00:14:36,160 --> 00:14:39,600 Speaker 1: nursing home. Remember a lot of them came from there. They, 243 00:14:39,640 --> 00:14:42,560 Speaker 1: according to the Times, are seeing evidence that these strict 244 00:14:42,560 --> 00:14:46,160 Speaker 1: containment strategies imposed in the earliest days that the outbreak 245 00:14:46,240 --> 00:14:49,360 Speaker 1: are paying off. At least for now. Deaths are not 246 00:14:49,480 --> 00:14:52,200 Speaker 1: rising as fast as they are in other stage. Dramatic 247 00:14:52,240 --> 00:14:54,840 Speaker 1: declines in street traffic show the people stay at home. 248 00:14:55,280 --> 00:14:59,480 Speaker 1: Hospitals have so far not been overwhelmed. Preliminary statistical models 249 00:14:59,480 --> 00:15:02,920 Speaker 1: provided to the public by public officials in Washington State 250 00:15:03,440 --> 00:15:07,080 Speaker 1: suggests the spread of the virus has slowed in Seattle 251 00:15:07,640 --> 00:15:10,120 Speaker 1: in that area in recent days, and while each infected 252 00:15:10,160 --> 00:15:12,360 Speaker 1: person was spreading the virus to an average of two 253 00:15:12,400 --> 00:15:16,880 Speaker 1: point seven other people in earlier March, that number appears 254 00:15:16,880 --> 00:15:20,600 Speaker 1: to have dropped, perhaps as low as to one point four. 255 00:15:20,720 --> 00:15:23,880 Speaker 1: Still too many, the ideas you don't want to listen. 256 00:15:24,040 --> 00:15:27,800 Speaker 1: Who wants the virus? You know, even those that this 257 00:15:27,920 --> 00:15:31,280 Speaker 1: would never kill, And a lot that's the vast majority 258 00:15:31,400 --> 00:15:33,520 Speaker 1: who wants the virus, and you got to worry about 259 00:15:33,520 --> 00:15:36,600 Speaker 1: the most vulnerable. That is it is killing all over 260 00:15:36,640 --> 00:15:39,479 Speaker 1: the world. Quick break right back, we'll tell you about 261 00:15:39,720 --> 00:15:42,600 Speaker 1: h DL next. All right, twenty five nowns at the 262 00:15:42,600 --> 00:15:45,000 Speaker 1: top of the hour, eight hundred and nine four one Sean, 263 00:15:45,240 --> 00:15:46,680 Speaker 1: you want to be a part of the program. All right, 264 00:15:46,760 --> 00:15:48,800 Speaker 1: let's let's go to the worst and then I'm going 265 00:15:48,840 --> 00:15:57,600 Speaker 1: to move to the hydroxy chloroquin and zithromius and treatments. 266 00:15:58,320 --> 00:16:04,520 Speaker 1: So there you have conspiratv MSDNC Roswell Rachel Maddow's channel 267 00:16:05,000 --> 00:16:09,920 Speaker 1: telling everybody it's nonsense that the hospital ship, the Comfort 268 00:16:10,520 --> 00:16:14,680 Speaker 1: was going to be in New York soon. Listen. In 269 00:16:14,800 --> 00:16:17,080 Speaker 1: terms of the happy talk we've had on this front 270 00:16:17,080 --> 00:16:19,360 Speaker 1: from the federal government, there is no sign that the 271 00:16:19,440 --> 00:16:21,760 Speaker 1: Navy hospital ships that the President made such a big 272 00:16:21,760 --> 00:16:24,920 Speaker 1: deal of the Comfort and the Mercy, there's no sign 273 00:16:24,960 --> 00:16:27,440 Speaker 1: that there'll be anywhere on site helping out anywhere in 274 00:16:27,480 --> 00:16:31,040 Speaker 1: the country for weeks yet, the President said. But he 275 00:16:31,040 --> 00:16:34,280 Speaker 1: announced that those ships would be put into action against 276 00:16:34,280 --> 00:16:36,640 Speaker 1: the COVID nineteen epidemic. He said one of those ships 277 00:16:36,680 --> 00:16:39,040 Speaker 1: would be operational in New York Harbor by next week. 278 00:16:39,560 --> 00:16:43,240 Speaker 1: That's nonsense. It will not be there next week. Nonsense, 279 00:16:43,320 --> 00:16:47,920 Speaker 1: it's there. Whoops, Sure we're having a correction tonight. I 280 00:16:47,960 --> 00:16:50,640 Speaker 1: don't know what happened to Joy Reid getting more extreme 281 00:16:50,680 --> 00:16:53,720 Speaker 1: by the day. Over there at MSDNC the conspiracy theory 282 00:16:54,240 --> 00:16:57,840 Speaker 1: channel all things radical left to socialist warning the Trump 283 00:16:58,560 --> 00:17:03,120 Speaker 1: might use the Corona virus to reign as a monarch. Listen, 284 00:17:03,480 --> 00:17:06,000 Speaker 1: of course, it's hardly news that Trump has always had 285 00:17:06,080 --> 00:17:09,880 Speaker 1: designs on reigning as a monarch with unlimited power, rather 286 00:17:09,920 --> 00:17:12,879 Speaker 1: than serving as a mere president in a democracy. But 287 00:17:12,960 --> 00:17:16,800 Speaker 1: with the country facing an unprecedented public health crisis, what 288 00:17:16,920 --> 00:17:20,360 Speaker 1: lengths might he backed by an attorney general whose writings 289 00:17:20,359 --> 00:17:23,200 Speaker 1: and actions point to a fundamental belief in an all 290 00:17:23,320 --> 00:17:26,040 Speaker 1: powerful presidency, at least when the would be king is 291 00:17:26,040 --> 00:17:30,080 Speaker 1: a Republican. What lengths might Trump go to to expand 292 00:17:30,200 --> 00:17:34,119 Speaker 1: his power under the guise of national security. Now, if 293 00:17:34,200 --> 00:17:38,360 Speaker 1: Vice said anything similar, Kennedy's is pushing a conspiracy theory. 294 00:17:38,600 --> 00:17:43,280 Speaker 1: Notice everybody that I'm playing here, Roswald, Rachel Joy Reid, 295 00:17:43,960 --> 00:17:47,280 Speaker 1: Chuck Toddo, I'm about to play They're all the same 296 00:17:47,359 --> 00:17:53,000 Speaker 1: people that lied for three long years Trump Russia collusion. 297 00:17:53,480 --> 00:17:57,280 Speaker 1: Did they ever make a retraction correction? Did their fellow 298 00:17:57,400 --> 00:18:02,080 Speaker 1: mob media members insist stun it? No, of course not. 299 00:18:02,480 --> 00:18:05,680 Speaker 1: Now we have a timeline. How seriously, I took Corona 300 00:18:05,880 --> 00:18:08,840 Speaker 1: starting on January twenty seventh, walks you right through it. 301 00:18:09,200 --> 00:18:12,879 Speaker 1: But Hannity, you criticize the Democrats because they're using it 302 00:18:12,920 --> 00:18:15,920 Speaker 1: as a hoax. Yeah, they were using it politically. Very 303 00:18:15,960 --> 00:18:20,600 Speaker 1: clear distinction and all the irrefutable evidence of my warnings 304 00:18:20,680 --> 00:18:24,760 Speaker 1: about this virus from January twenty seventh. Had doctor Anthony 305 00:18:24,800 --> 00:18:27,959 Speaker 1: Fauci on TV January twenty eighth, I said, I sounded 306 00:18:28,000 --> 00:18:30,720 Speaker 1: the alarm. Oh, I don't like the looks of this, 307 00:18:30,840 --> 00:18:34,560 Speaker 1: because if you're asymptomatic, apparently you can be asymptomatic for 308 00:18:34,640 --> 00:18:38,600 Speaker 1: long periods of time, which means that you are infecting. 309 00:18:38,600 --> 00:18:42,200 Speaker 1: Many people have no idea you have it. That's a problem. Anyway. 310 00:18:42,320 --> 00:18:46,040 Speaker 1: Let's go to Chuck Todd. He has clueless quid pro 311 00:18:46,160 --> 00:18:49,240 Speaker 1: quote Joe on is there blood on Trump's hands? And 312 00:18:49,359 --> 00:18:51,320 Speaker 1: we have to be ahead of the curve, not behind 313 00:18:51,320 --> 00:18:53,560 Speaker 1: the curve like we were last time. You know, your 314 00:18:53,600 --> 00:18:56,600 Speaker 1: campaign put out you're in a critique of President Trump 315 00:18:56,640 --> 00:18:58,399 Speaker 1: and says, if he doesn't do these things, you know 316 00:18:58,480 --> 00:19:01,320 Speaker 1: he could, he could cost live. Do you think there's 317 00:19:01,320 --> 00:19:03,560 Speaker 1: already Do you think there is blood on the president's 318 00:19:03,600 --> 00:19:06,960 Speaker 1: hands considering the slow response, or is that too harsh 319 00:19:06,960 --> 00:19:10,360 Speaker 1: of a criticism. I think that's a little too harsh. 320 00:19:10,520 --> 00:19:14,480 Speaker 1: Blood on the president's hands. The same guy that that 321 00:19:14,600 --> 00:19:21,639 Speaker 1: clueless quid pro quo said was xenophobic, hysterical, and fearmongerer 322 00:19:22,200 --> 00:19:24,479 Speaker 1: the same day that the President put the travel ban 323 00:19:24,560 --> 00:19:29,119 Speaker 1: in effect. Okay, you don't have to be a scientist, 324 00:19:29,400 --> 00:19:32,800 Speaker 1: a medical researcher, a doctor, a nurse, a medical professional 325 00:19:32,800 --> 00:19:35,960 Speaker 1: to figure out that was a pretty darned good decision 326 00:19:36,040 --> 00:19:39,439 Speaker 1: after the ten days after the first own case. And 327 00:19:39,600 --> 00:19:43,520 Speaker 1: of course Pelosi, now remember she's saying this now, but 328 00:19:43,640 --> 00:19:48,119 Speaker 1: what was Nancy Pelosi doing before Christmas? She was urgently 329 00:19:48,440 --> 00:19:52,280 Speaker 1: voting articles of impeachment for the president because they had 330 00:19:52,280 --> 00:19:54,560 Speaker 1: no time to waste, so they had to get it 331 00:19:54,560 --> 00:19:58,560 Speaker 1: done and then race off to their vacation. And then 332 00:19:58,600 --> 00:20:01,240 Speaker 1: at the time that the President was implementing the travel 333 00:20:01,280 --> 00:20:04,600 Speaker 1: band and the quarantine and acting and acting out of 334 00:20:04,600 --> 00:20:07,240 Speaker 1: an abundance of caution for the safety of the American people, 335 00:20:07,720 --> 00:20:11,800 Speaker 1: she was impeaching, Chucky was impeaching. They're all impeaching. That's 336 00:20:11,840 --> 00:20:14,280 Speaker 1: all they focused on. I don't remember even in a 337 00:20:14,320 --> 00:20:17,760 Speaker 1: lot of these Democratic debates Corona being discussed much at all, 338 00:20:18,440 --> 00:20:22,480 Speaker 1: and Nancy now saying, oh, Trump has downplayed the severity. 339 00:20:22,560 --> 00:20:25,840 Speaker 1: I don't think a travel band was downplaying anything. Now, 340 00:20:26,080 --> 00:20:29,480 Speaker 1: nobody knew it would evolve into this. Anthony Fouci changed, 341 00:20:30,920 --> 00:20:33,480 Speaker 1: we all changed, everybody. You can go back and you 342 00:20:33,480 --> 00:20:37,600 Speaker 1: can see every single person realized the seriously as time 343 00:20:37,640 --> 00:20:41,000 Speaker 1: went on. We didn't expect this. We've been through pandemics before. 344 00:20:41,160 --> 00:20:42,520 Speaker 1: You think it's going to be like the other ones. 345 00:20:42,600 --> 00:20:46,520 Speaker 1: This one's different. Anyway, here's Pelosi. I don't know what 346 00:20:46,560 --> 00:20:49,320 Speaker 1: the scientists are saying to him. I don't know what 347 00:20:49,400 --> 00:20:52,520 Speaker 1: the scientists said to him. When did this president know 348 00:20:52,760 --> 00:20:55,919 Speaker 1: about this and what did he know? What did he 349 00:20:56,000 --> 00:20:58,600 Speaker 1: know and when did he know it? That's for an 350 00:20:58,600 --> 00:21:02,840 Speaker 1: after action review. But as the president of HIDDLES, people 351 00:21:02,920 --> 00:21:05,400 Speaker 1: are dying and we have to we just have to 352 00:21:05,440 --> 00:21:09,240 Speaker 1: take every precaution. What did the president know? He knew 353 00:21:09,320 --> 00:21:12,679 Speaker 1: the first known case identified in the United States was 354 00:21:12,800 --> 00:21:17,360 Speaker 1: February I'm sorry, January twenty first, What did he know well, 355 00:21:17,520 --> 00:21:22,320 Speaker 1: the first known case January twenty first, this year February 356 00:21:22,600 --> 00:21:26,879 Speaker 1: January thirty first, ten days later the travel band Nancy, 357 00:21:27,040 --> 00:21:30,600 Speaker 1: you were in the middle of your impeachment nonsense. You 358 00:21:30,640 --> 00:21:36,080 Speaker 1: weren't paying attention to quote you as the House of representative, 359 00:21:36,119 --> 00:21:38,159 Speaker 1: she's born. I don't know what the medical experts are 360 00:21:38,160 --> 00:21:42,000 Speaker 1: telling Trump. Well, I think if you called doctor Fauci, 361 00:21:42,480 --> 00:21:45,160 Speaker 1: I think if you called the medical professionals or doctor 362 00:21:45,200 --> 00:21:48,480 Speaker 1: Deborah Burkes, maybe I think you're the Speaker of the House, 363 00:21:48,560 --> 00:21:52,200 Speaker 1: they probably take your call. Why don't you try it? 364 00:21:52,720 --> 00:21:57,720 Speaker 1: What's an idea? As you've been fiddling with impeachment unbelieve it? 365 00:21:57,720 --> 00:21:59,880 Speaker 1: And you got Hillary Clinton? What does she say? Well, 366 00:22:00,080 --> 00:22:02,960 Speaker 1: did promise America first? Referring to one of the presidents 367 00:22:03,000 --> 00:22:06,840 Speaker 1: often repeated campaign slogans, Really, that's what you're gonna say 368 00:22:06,840 --> 00:22:08,879 Speaker 1: when people are getting sick and some are fighting for 369 00:22:08,920 --> 00:22:11,240 Speaker 1: their lives. I don't think that's too good. You got, 370 00:22:11,560 --> 00:22:15,360 Speaker 1: you know, you got the incomprehensible quid pro quote Joe 371 00:22:15,480 --> 00:22:19,280 Speaker 1: Now raising money off Corona. You got a liberal free 372 00:22:19,280 --> 00:22:23,320 Speaker 1: beacon at a piece about a dark money group, leftist 373 00:22:23,400 --> 00:22:27,480 Speaker 1: group spending one point two million attacking GOP Senators on coronavirus. 374 00:22:28,160 --> 00:22:30,639 Speaker 1: By the way, in New York City, their health commissioner 375 00:22:30,720 --> 00:22:34,400 Speaker 1: was urging New Yorkers to gather in public places. I remember, 376 00:22:34,520 --> 00:22:37,719 Speaker 1: wasn't it build the Blasio also at up to a 377 00:22:37,760 --> 00:22:42,200 Speaker 1: certain point. Look, there's a lot of things that happened 378 00:22:42,200 --> 00:22:44,280 Speaker 1: here that I'm not gonna I don't want to play 379 00:22:44,280 --> 00:22:46,879 Speaker 1: politics with it right now. The most important thing that 380 00:22:46,880 --> 00:22:49,360 Speaker 1: we can do is get an answer. That's the most 381 00:22:49,400 --> 00:22:52,600 Speaker 1: important thing I think the answer because look, even though 382 00:22:52,640 --> 00:22:57,159 Speaker 1: in record time, our medical researchers are scientists, and I 383 00:22:57,200 --> 00:22:59,200 Speaker 1: said this early on, I have a lot of faith 384 00:22:59,200 --> 00:23:02,520 Speaker 1: in people. I have faith in our medical community. We 385 00:23:02,560 --> 00:23:05,119 Speaker 1: are the best of the best, will probably end up 386 00:23:05,160 --> 00:23:08,520 Speaker 1: saving the world again. We've been discussing that like we 387 00:23:08,600 --> 00:23:11,119 Speaker 1: have so many other times. We have paid the price 388 00:23:11,760 --> 00:23:18,240 Speaker 1: for freedom, rebuilt Europe, beat back every ism there is, Nazism, fascism, communism, 389 00:23:18,240 --> 00:23:21,600 Speaker 1: and radical Islamism. We do that. That's who we are. 390 00:23:22,080 --> 00:23:25,320 Speaker 1: We share our developments with the world. We'll do it 391 00:23:25,359 --> 00:23:29,160 Speaker 1: again here. That's what I would expect. So the president, 392 00:23:29,200 --> 00:23:31,120 Speaker 1: out of an abundance of caution. Oh look, I think 393 00:23:31,200 --> 00:23:34,439 Speaker 1: what's they have decided is my take on it is 394 00:23:34,440 --> 00:23:37,720 Speaker 1: that Okay, we're going to take this through April thirtieth, 395 00:23:38,400 --> 00:23:42,639 Speaker 1: because we don't want to get back to life at normal. 396 00:23:42,680 --> 00:23:47,000 Speaker 1: We're looking at these varying models, etc. Etc. And the 397 00:23:47,640 --> 00:23:50,879 Speaker 1: possibility that we leave some cancer out there and it 398 00:23:50,960 --> 00:23:56,280 Speaker 1: bounces back. That's a legitimate concern. So after he listens 399 00:23:56,320 --> 00:24:00,639 Speaker 1: to Fauci, after he listens to doctor Burke's, he makes 400 00:24:00,640 --> 00:24:03,280 Speaker 1: the decision it's not worth it. We're gonna stay in 401 00:24:03,320 --> 00:24:06,440 Speaker 1: shutdown mode till April the thirty not complete shutdown mode. 402 00:24:06,520 --> 00:24:09,000 Speaker 1: We have to eat. We have to get food. Our 403 00:24:09,160 --> 00:24:11,720 Speaker 1: nation's grossers. By the way, they're doing a phenomenal job. 404 00:24:11,760 --> 00:24:13,800 Speaker 1: I know some places are more full than others, but 405 00:24:14,600 --> 00:24:17,440 Speaker 1: I'm telling you they kill everyone in every business is 406 00:24:17,520 --> 00:24:20,560 Speaker 1: killing it for the American people. They work in day 407 00:24:20,560 --> 00:24:24,639 Speaker 1: and night. They're looking for whatever they can do. But 408 00:24:24,760 --> 00:24:26,520 Speaker 1: the next two weeks are going to be the two 409 00:24:26,560 --> 00:24:28,720 Speaker 1: to three to four weeks are going to be the scariest. 410 00:24:29,320 --> 00:24:31,680 Speaker 1: Nobody will talk about all the actions that the president 411 00:24:31,720 --> 00:24:34,480 Speaker 1: has taken. I can put it. I mean the list, 412 00:24:34,520 --> 00:24:38,440 Speaker 1: I'll scroll them tonight. They're so long. Whole love government approach, 413 00:24:39,080 --> 00:24:41,879 Speaker 1: I mean it is. I don't hear anyone in the 414 00:24:41,920 --> 00:24:44,280 Speaker 1: media say a nice word. Just the same people that 415 00:24:44,359 --> 00:24:47,560 Speaker 1: hated Donald Trump from the beginning, the same exact people, 416 00:24:48,080 --> 00:24:51,880 Speaker 1: the same media mob, the same Democrats. They haven't done 417 00:24:51,880 --> 00:24:54,080 Speaker 1: a thing for the American people and all this time. 418 00:24:55,640 --> 00:24:58,199 Speaker 1: So here's some of the medical developments. It was a 419 00:24:58,200 --> 00:25:00,280 Speaker 1: really good piece in the Wall Street Journal to an 420 00:25:00,400 --> 00:25:06,200 Speaker 1: update on the coronavirus treatment. Hydroxy chloric quinn and azithromyacin 421 00:25:06,359 --> 00:25:10,439 Speaker 1: continue to show results for patients. We've been on this early. 422 00:25:10,640 --> 00:25:13,640 Speaker 1: We've been attacked for being on this early looking for 423 00:25:13,680 --> 00:25:17,159 Speaker 1: any anecdotal information. I'll tell you the guy that is 424 00:25:17,200 --> 00:25:19,800 Speaker 1: following this day and night. If I text doctor Oz 425 00:25:20,359 --> 00:25:23,800 Speaker 1: at three am, he texts me back. He's all over it. 426 00:25:23,840 --> 00:25:26,959 Speaker 1: He's talking to doctors all around the world, accumulating as 427 00:25:27,040 --> 00:25:30,040 Speaker 1: much data anecdotally granted as possible. They have a study 428 00:25:30,080 --> 00:25:34,200 Speaker 1: going on at his university where he's associated with Columbia. 429 00:25:34,320 --> 00:25:40,240 Speaker 1: But the evidence is very hopeful. And now we've watched 430 00:25:40,359 --> 00:25:44,360 Speaker 1: enough people that have had this treatment that have done well, 431 00:25:46,119 --> 00:25:49,760 Speaker 1: and hopefully now I have an update on that. The 432 00:25:49,840 --> 00:25:54,440 Speaker 1: novartist to evil pharmaceutical company. I can say that because 433 00:25:54,520 --> 00:25:58,320 Speaker 1: that's what liberals say about pharmaceutical companies. Anyway. They said 434 00:25:58,320 --> 00:26:02,000 Speaker 1: the drug hydroxy chloric quinn is the company's biggest hope 435 00:26:02,680 --> 00:26:06,119 Speaker 1: against the virus, voted in a Swiss newspaper reported on 436 00:26:06,200 --> 00:26:10,480 Speaker 1: Yahoo Finance, no Vartist is now pledged to donate one 437 00:26:10,560 --> 00:26:14,800 Speaker 1: hundred and thirty million doses in supporting clinical trials needed 438 00:26:15,880 --> 00:26:18,639 Speaker 1: for the medicine, which the President has been saying, Hey, 439 00:26:18,680 --> 00:26:20,360 Speaker 1: I have a lot of hope in this. Didn't say 440 00:26:20,359 --> 00:26:24,359 Speaker 1: it was done. We know that the Israeli pharmaceutical manufacturer 441 00:26:24,600 --> 00:26:28,800 Speaker 1: Taifa and Bear also agreed. Teva, I'm sorry to say, 442 00:26:29,400 --> 00:26:32,800 Speaker 1: I'm sorry. And Bear well, they donated six million that 443 00:26:32,880 --> 00:26:36,680 Speaker 1: we already have and they are also donating another four 444 00:26:36,720 --> 00:26:40,520 Speaker 1: million doses. Bear is now going to be donating hydroxy 445 00:26:40,600 --> 00:26:45,040 Speaker 1: chloroquinn in similar drugs pre clinical studies. You know they 446 00:26:45,080 --> 00:26:47,879 Speaker 1: look pretty promising. I'm not a doctor. Look it up yourself. 447 00:26:47,920 --> 00:26:50,439 Speaker 1: I'm giving you the information that I see. We know 448 00:26:50,520 --> 00:26:52,439 Speaker 1: that there's been a clinical trial going on now in 449 00:26:52,440 --> 00:26:55,880 Speaker 1: New York for a small period of time. We know 450 00:26:56,480 --> 00:27:00,760 Speaker 1: that these doses are becoming more readily used and available. 451 00:27:01,320 --> 00:27:04,359 Speaker 1: Seems like more and more doctors watching the work of 452 00:27:04,440 --> 00:27:08,560 Speaker 1: doctor Oz and doctor Siegel and doctor Sapphire and others saying, hey, 453 00:27:08,600 --> 00:27:12,000 Speaker 1: this is a good idea. Florida's Governor Ronda Santis. By 454 00:27:12,040 --> 00:27:14,360 Speaker 1: the way, if you come to Florida from New York, 455 00:27:14,960 --> 00:27:18,560 Speaker 1: self quarantine fourteen days. I don't blame him. He's trying 456 00:27:18,600 --> 00:27:21,640 Speaker 1: to protect the people of Florida. It's a smart thing 457 00:27:21,680 --> 00:27:24,960 Speaker 1: to do. Not convenient, but for the time being, out 458 00:27:25,000 --> 00:27:28,320 Speaker 1: of an abundance of caution, that is a just a 459 00:27:28,400 --> 00:27:31,440 Speaker 1: smart thing to do. So there's a lot of anecdotal 460 00:27:31,440 --> 00:27:36,000 Speaker 1: evidence out here. The FDA, Okay, the emergency authorization of drugs. 461 00:27:36,440 --> 00:27:40,560 Speaker 1: I'm not sure why in New York Andrew Cuomo knowing 462 00:27:40,600 --> 00:27:44,200 Speaker 1: that this study is going on, Well, pharmacies are forbidden 463 00:27:44,320 --> 00:27:51,080 Speaker 1: via executive order from prescribing it. Now, Look, I don't 464 00:27:51,080 --> 00:27:53,439 Speaker 1: really I thought I had a really good conversation with 465 00:27:53,640 --> 00:27:55,840 Speaker 1: Andrew Cuomo. I was actually pretty happy about it after 466 00:27:55,920 --> 00:27:57,919 Speaker 1: us said, you know what, all right, he's saying the 467 00:27:58,000 --> 00:28:01,800 Speaker 1: right things. He sounds authority. He doesn't want to play politics, 468 00:28:01,800 --> 00:28:08,000 Speaker 1: he tells me, and the President sends him four thousand ventilators. 469 00:28:08,560 --> 00:28:12,240 Speaker 1: They're not his. Now we know that there's been articles 470 00:28:12,280 --> 00:28:14,560 Speaker 1: written at length. I won't go through all the details 471 00:28:14,600 --> 00:28:16,160 Speaker 1: of it. That he had a chance to buy them 472 00:28:16,600 --> 00:28:19,280 Speaker 1: sixteen thousand of them at a fairly reasonable rate, didn't 473 00:28:19,280 --> 00:28:21,840 Speaker 1: do so, and then he put together a task force 474 00:28:21,920 --> 00:28:24,720 Speaker 1: that decided how they would ration them if they ever 475 00:28:24,840 --> 00:28:29,440 Speaker 1: needed them. Now, from my perspective is I'm thinking, are 476 00:28:29,440 --> 00:28:31,959 Speaker 1: you kidding me? New York is the number one New 477 00:28:32,040 --> 00:28:35,440 Speaker 1: York City, the number one terror target of our entire country, 478 00:28:35,960 --> 00:28:39,400 Speaker 1: our entire financial system. We know what happened the first 479 00:28:39,400 --> 00:28:42,440 Speaker 1: trade center bombing, the nine to eleven. We know what happened. 480 00:28:42,880 --> 00:28:47,240 Speaker 1: We also know it's the highest concentration of people in 481 00:28:47,280 --> 00:28:50,720 Speaker 1: a very small geographic area, which means that there might 482 00:28:50,800 --> 00:28:53,000 Speaker 1: be a pandemic, and you're more likely to be in 483 00:28:53,040 --> 00:28:56,600 Speaker 1: trouble than any other city in the entire country. So 484 00:28:56,680 --> 00:29:00,880 Speaker 1: now they're the epicenter of the coronavirus. He got all 485 00:29:00,920 --> 00:29:04,320 Speaker 1: of these hospitals, that Army, the Army Corps of Engineer 486 00:29:04,520 --> 00:29:09,400 Speaker 1: hospital at the Javit Center that's not Culmo's hospital. Trump 487 00:29:09,400 --> 00:29:13,680 Speaker 1: built that. And you look at the Navy ship that 488 00:29:14,120 --> 00:29:17,320 Speaker 1: the Navy ship Comfort thousand bets. Yeah, he built that too. 489 00:29:17,760 --> 00:29:20,200 Speaker 1: And the hospitals they are now building, the Army Corps 490 00:29:20,200 --> 00:29:23,360 Speaker 1: of Engineers in Westchester and Nassau and Suffac counties. Yeah, 491 00:29:23,360 --> 00:29:25,880 Speaker 1: that would be the federal government. And what the only 492 00:29:25,920 --> 00:29:28,640 Speaker 1: thing that angers me because I do think he's he's trying, 493 00:29:28,640 --> 00:29:31,200 Speaker 1: but he can't get away from his own political self, 494 00:29:31,840 --> 00:29:34,880 Speaker 1: although he's denying today that he has any plans of 495 00:29:35,000 --> 00:29:37,320 Speaker 1: running for president. If Joe Biden were to get out, 496 00:29:37,640 --> 00:29:42,440 Speaker 1: let's see what happens. But all of five separate hospitals now, 497 00:29:42,480 --> 00:29:45,600 Speaker 1: and we got Samaritan's purse building one in Central Park. 498 00:29:46,680 --> 00:29:49,880 Speaker 1: He said on Friday. I couldn't believe it because earlier 499 00:29:49,920 --> 00:29:52,680 Speaker 1: in the week he said I want thirty thousand ventilators. 500 00:29:52,880 --> 00:29:55,640 Speaker 1: And I'm like, we found out Friday the four thousand 501 00:29:55,880 --> 00:29:57,680 Speaker 1: that was sent to him was in a warehouse because 502 00:29:57,680 --> 00:30:00,920 Speaker 1: they don't need them yet. We all the GM and 503 00:30:00,960 --> 00:30:03,760 Speaker 1: Ford and all these other companies are making more immediately. 504 00:30:04,200 --> 00:30:07,840 Speaker 1: We also learned that anesthesiologists some of their equipment can 505 00:30:07,920 --> 00:30:12,000 Speaker 1: easily be apparently converted into a ventilator if need be. 506 00:30:13,160 --> 00:30:17,080 Speaker 1: And I'm just sitting there saying, oh really, because Andrew 507 00:30:17,080 --> 00:30:18,920 Speaker 1: Cuomo could have done a hell of a lot more too, 508 00:30:18,960 --> 00:30:22,480 Speaker 1: and the same with Comrade de Blasio. Now I'm willing 509 00:30:22,520 --> 00:30:25,240 Speaker 1: to put bygones and let bygones be bygones here, but 510 00:30:25,280 --> 00:30:27,440 Speaker 1: don't sit there in lecture when you had a chance 511 00:30:27,480 --> 00:30:30,040 Speaker 1: to do it. All of this heaven and Earth is 512 00:30:30,080 --> 00:30:33,560 Speaker 1: being rightly because this is where ground zero for this 513 00:30:33,720 --> 00:30:37,640 Speaker 1: is sent to New York hospitals built, chip sent ventilator, 514 00:30:37,760 --> 00:30:40,480 Speaker 1: scent and all the equipment that they can get their 515 00:30:40,480 --> 00:30:43,000 Speaker 1: hands on. And then I look at Cuomo. Well, maybe 516 00:30:43,040 --> 00:30:45,080 Speaker 1: when you were spending seven hundred and fifty million on 517 00:30:45,120 --> 00:30:48,840 Speaker 1: a solar panel factory that end up closing down, or 518 00:30:48,960 --> 00:30:51,480 Speaker 1: ninety million dollars for a light bulb company, or six 519 00:30:51,560 --> 00:30:55,800 Speaker 1: hundred million for a computer to chip factory that sits empty. Well, 520 00:30:56,200 --> 00:31:02,040 Speaker 1: how many let's see mask gowns vent the lads could 521 00:31:02,080 --> 00:31:04,240 Speaker 1: you have purchased with that money knowing New York's the 522 00:31:04,320 --> 00:31:08,080 Speaker 1: number one target trying to do I just look at 523 00:31:08,120 --> 00:31:09,880 Speaker 1: this and it's like nothing this guy does is going 524 00:31:09,920 --> 00:31:13,479 Speaker 1: to be good enough. And it's like you barely get 525 00:31:13,560 --> 00:31:16,240 Speaker 1: to thank you. I need forty, need thirty times give 526 00:31:16,280 --> 00:31:19,400 Speaker 1: me this. Why didn't you prepare? You know, states on 527 00:31:19,440 --> 00:31:22,080 Speaker 1: the front lines, they have an obligation. Mayors and governors 528 00:31:22,600 --> 00:31:25,880 Speaker 1: have a duty to prepare. Ron de Santis, what's great, 529 00:31:25,880 --> 00:31:29,080 Speaker 1: he goes, I don't want him doing my job, meaning 530 00:31:29,080 --> 00:31:31,200 Speaker 1: the president. He wants to do his job, he's the governor. 531 00:31:31,800 --> 00:31:34,960 Speaker 1: This is such a very, very sad time for us, 532 00:31:35,280 --> 00:31:39,080 Speaker 1: so we should be taking every precaution. What the president, 533 00:31:39,840 --> 00:31:45,120 Speaker 1: his denial at the beginning was deadly. His delaying of 534 00:31:45,240 --> 00:31:50,440 Speaker 1: getting equipment to where it continues. His delay and getting 535 00:31:50,440 --> 00:31:54,240 Speaker 1: equipment to where it's needed is deadly. And now I 536 00:31:54,240 --> 00:31:56,000 Speaker 1: think the best thing would be to do is to 537 00:31:56,120 --> 00:32:00,000 Speaker 1: prevent a more loss of life rather than open things 538 00:32:00,240 --> 00:32:03,200 Speaker 1: up so that because we just don't know, we have 539 00:32:03,360 --> 00:32:06,240 Speaker 1: to have testing, testing, testing, That's what we said from 540 00:32:06,240 --> 00:32:09,840 Speaker 1: the start. I don't know what the scientists are saying 541 00:32:09,880 --> 00:32:12,520 Speaker 1: to him. I don't know what the scientists said to him. 542 00:32:12,760 --> 00:32:16,280 Speaker 1: When did this president know about this? And what did 543 00:32:16,320 --> 00:32:18,480 Speaker 1: he know? What did he know and when did he 544 00:32:18,560 --> 00:32:22,640 Speaker 1: know it? That's for an after action review. But as 545 00:32:22,680 --> 00:32:26,120 Speaker 1: the president fiddles, people are dying and we have to 546 00:32:26,280 --> 00:32:31,120 Speaker 1: we just have to take every precaution. What was Nancy 547 00:32:31,440 --> 00:32:35,560 Speaker 1: doing at the time that the President, ten days after 548 00:32:35,600 --> 00:32:38,960 Speaker 1: the first known case in the United States was putting 549 00:32:39,000 --> 00:32:43,960 Speaker 1: in place the travel ban and the quarantine fiddling. No, 550 00:32:44,840 --> 00:32:50,920 Speaker 1: in retrospect, the single biggest greatest decision. Apparently not many 551 00:32:50,920 --> 00:32:55,040 Speaker 1: people agreed with it, even those around him. That prevented 552 00:32:55,480 --> 00:33:00,000 Speaker 1: countless numbers of Americans from contracting the virus and exponential 553 00:33:00,320 --> 00:33:04,440 Speaker 1: mathematically how many from dying. And she was in the 554 00:33:04,440 --> 00:33:08,160 Speaker 1: middle of impeachment and she was not talking about Corona. 555 00:33:08,280 --> 00:33:12,400 Speaker 1: Remember she had to urgently pass this before Christmas, the impeachment, 556 00:33:12,440 --> 00:33:16,240 Speaker 1: so she can urgently get out to California to go 557 00:33:16,280 --> 00:33:19,200 Speaker 1: on vacation. And the rest of come. They urgently did 558 00:33:19,240 --> 00:33:22,800 Speaker 1: it to go on vacation. This is why the president 559 00:33:22,920 --> 00:33:26,680 Speaker 1: was in the middle of an impeachment trial. This is 560 00:33:26,720 --> 00:33:31,760 Speaker 1: how distorted and twisted and perverted the thinking in the 561 00:33:31,880 --> 00:33:35,680 Speaker 1: mindset is here. You know, you look at the same 562 00:33:35,680 --> 00:33:39,920 Speaker 1: medium mob characters, you look at the same Democrats. It's 563 00:33:39,960 --> 00:33:44,760 Speaker 1: the same people three plus years hate rage Trump, the 564 00:33:44,800 --> 00:33:50,680 Speaker 1: derangement psychosis. I honestly, I would say Donald Trump could cancer, 565 00:33:51,240 --> 00:33:55,680 Speaker 1: they would impeach and procuring cancer. It's that sick. Meanwhile, 566 00:33:55,920 --> 00:33:59,680 Speaker 1: I have a list that is a mile wide of 567 00:33:59,720 --> 00:34:03,080 Speaker 1: all all of the things that the President has done 568 00:34:03,400 --> 00:34:07,320 Speaker 1: from day one to help. By the way, all unprecedented. 569 00:34:07,800 --> 00:34:11,280 Speaker 1: This is all new, you know, this is all new ground. 570 00:34:11,800 --> 00:34:15,600 Speaker 1: The travel band that's the future pandemic on its way ban, 571 00:34:15,920 --> 00:34:21,160 Speaker 1: I guarantee it. Quarantine boom testing first, breaking down the 572 00:34:21,200 --> 00:34:23,120 Speaker 1: sequence of a virus used to take years. They've got 573 00:34:23,160 --> 00:34:26,480 Speaker 1: it done in six weeks. Drive up testing now evolving 574 00:34:26,480 --> 00:34:31,320 Speaker 1: into home tests. We're gonna Abbot Pharmaceuticals is now cranking 575 00:34:31,360 --> 00:34:33,680 Speaker 1: out fifty thousand a week. Now. It's gonna get scary 576 00:34:33,680 --> 00:34:36,120 Speaker 1: in one sense because that means we will have tested 577 00:34:36,520 --> 00:34:39,080 Speaker 1: more than any other country on Earth. We will know 578 00:34:39,200 --> 00:34:43,400 Speaker 1: the full magnitude of what this pandemic was, and there 579 00:34:43,440 --> 00:34:46,479 Speaker 1: will be the next few weeks. Buckle up, you're gonna 580 00:34:46,520 --> 00:34:49,160 Speaker 1: see that a lot of people contracted it. But now, 581 00:34:49,239 --> 00:34:52,960 Speaker 1: of course, then we look to the medical doctors that 582 00:34:53,000 --> 00:34:57,560 Speaker 1: are out there, and doctor Deborah Burkes and doctor Anthony 583 00:34:57,600 --> 00:35:01,359 Speaker 1: Fauci that you know ta to. The President said, look, 584 00:35:01,400 --> 00:35:05,440 Speaker 1: this is the worst case scenario. Now, you'd be better 585 00:35:05,800 --> 00:35:09,759 Speaker 1: if we just stuck with the plan longer, so we 586 00:35:09,840 --> 00:35:12,600 Speaker 1: don't have a resurgence or a rebound down the road. 587 00:35:13,640 --> 00:35:16,600 Speaker 1: I haven't heard, I have not heard any mob member 588 00:35:16,640 --> 00:35:19,360 Speaker 1: that hated Trump the whole time the last three years. 589 00:35:19,719 --> 00:35:25,080 Speaker 1: Those that pedal lies, conspiracy theories, hoaxes. Can they say 590 00:35:25,120 --> 00:35:27,000 Speaker 1: that the travel ban was good? Can they say that 591 00:35:27,080 --> 00:35:31,280 Speaker 1: the President getting up here in New York earlier today, 592 00:35:32,160 --> 00:35:35,759 Speaker 1: this hospital, Navy hospital ship. Can they say that was 593 00:35:35,760 --> 00:35:37,759 Speaker 1: a good decision. Can they say that the Army Corps 594 00:35:37,800 --> 00:35:40,520 Speaker 1: of Engineers that built a three thousand bed hospital at 595 00:35:40,520 --> 00:35:42,600 Speaker 1: the Jacob Javits Center, Can they say that's a good thing. 596 00:35:43,360 --> 00:35:47,839 Speaker 1: The President heard from Governor Cuomo got him four thousand ventilators. 597 00:35:47,880 --> 00:35:49,960 Speaker 1: He put him in a warehouse. But he's demanding thirty 598 00:35:50,000 --> 00:35:52,879 Speaker 1: forty thousand. He's not using the ones we gave him. Yet. 599 00:35:53,280 --> 00:35:56,399 Speaker 1: We all know that GM and Ford are now manufacturing, 600 00:35:56,400 --> 00:35:58,560 Speaker 1: along with other companies, as many as they can crank out. 601 00:35:59,160 --> 00:36:01,200 Speaker 1: We also had an ounce but nobody seemed to pay 602 00:36:01,200 --> 00:36:05,719 Speaker 1: attention to his. Anesthesiologists now can easily convert their equipment 603 00:36:05,840 --> 00:36:09,720 Speaker 1: into a ventilator fairly everything that I've read and heard 604 00:36:09,760 --> 00:36:12,719 Speaker 1: and people have said to me, fairly easy to do, 605 00:36:13,360 --> 00:36:16,680 Speaker 1: which would mean we have tens of thousands of more ventilators, 606 00:36:17,040 --> 00:36:19,360 Speaker 1: God forbid, we need them. The hope is you don't 607 00:36:19,400 --> 00:36:23,200 Speaker 1: need them. All of the equipment. These none of these 608 00:36:23,239 --> 00:36:27,080 Speaker 1: governors and mayors were ready for anything. It is shocking, 609 00:36:27,200 --> 00:36:30,000 Speaker 1: particularly in New York. And I'm not I'm just ticked 610 00:36:30,000 --> 00:36:32,520 Speaker 1: off at Cuomo because he walks around and give me this, 611 00:36:32,680 --> 00:36:35,200 Speaker 1: give me this. Okay, he built you that hospital. He's 612 00:36:35,200 --> 00:36:38,520 Speaker 1: building a hospital in Nassau County, Suffolk County, Westchester County, 613 00:36:38,719 --> 00:36:41,400 Speaker 1: the Javit Center. He has the hospital ship up here. 614 00:36:42,200 --> 00:36:46,720 Speaker 1: You got the doses of that you wanted for hydro 615 00:36:46,840 --> 00:36:52,840 Speaker 1: chloroquine and zethromyasin. He got that from Trump too, pointing, 616 00:36:53,360 --> 00:36:57,560 Speaker 1: you know, doing his photo ops walking through the triage 617 00:36:57,560 --> 00:36:59,720 Speaker 1: center that the President set up at the Javit Center. 618 00:37:00,120 --> 00:37:03,160 Speaker 1: Kevin McCarthy is the GOP house leader. Kevin, how are you, sir? 619 00:37:03,760 --> 00:37:06,759 Speaker 1: I'm doing well and exactly what you're talking about because 620 00:37:06,760 --> 00:37:10,400 Speaker 1: the first days that the administration came to the capital 621 00:37:10,440 --> 00:37:13,040 Speaker 1: of Briefle's off. What were they doing and teaching the president? 622 00:37:14,120 --> 00:37:17,200 Speaker 1: And you just watch. I don't understand how the speaker 623 00:37:17,200 --> 00:37:20,480 Speaker 1: can actually say those words because she is the one 624 00:37:21,040 --> 00:37:24,200 Speaker 1: who held it hostage instead of helping people. And why 625 00:37:24,320 --> 00:37:27,040 Speaker 1: was she holding it hostage? Not for more ventilators, not 626 00:37:27,080 --> 00:37:32,160 Speaker 1: for more money, but exactly for changing election law, changing 627 00:37:32,200 --> 00:37:36,720 Speaker 1: for sanctuary cities, a green new deal, I mean, nothing 628 00:37:36,719 --> 00:37:40,320 Speaker 1: to deal with coronavirus. And you know what matters every 629 00:37:40,360 --> 00:37:44,239 Speaker 1: single day? How big one week matters. Three point three 630 00:37:44,320 --> 00:37:48,120 Speaker 1: million people got laid off last week, bigger than we've 631 00:37:48,120 --> 00:37:51,360 Speaker 1: ever had, six times larger than during the financial crisis, 632 00:37:51,480 --> 00:37:54,439 Speaker 1: and it was the speaker holding it up. I came 633 00:37:54,440 --> 00:37:58,480 Speaker 1: back to that meeting on Sunday night. Bill was agreed 634 00:37:58,520 --> 00:38:01,520 Speaker 1: to except that erroneous spending of what she held it 635 00:38:01,600 --> 00:38:03,920 Speaker 1: up to get. But she wanted so much more. She 636 00:38:04,120 --> 00:38:08,440 Speaker 1: delayed for over a week for the Kennedy Center, the 637 00:38:08,600 --> 00:38:11,360 Speaker 1: National Endownmind for the arts, and the National Downmoard for 638 00:38:11,360 --> 00:38:16,120 Speaker 1: over the humanities. And meanwhile, American workers needed money, hospitals 639 00:38:16,200 --> 00:38:21,400 Speaker 1: need funding, small businesses and big businesses. It's unconscionable to 640 00:38:21,440 --> 00:38:23,960 Speaker 1: me that this is what they were fighting over. She 641 00:38:24,040 --> 00:38:27,360 Speaker 1: restricted this relief just in order to make her liberal 642 00:38:27,400 --> 00:38:31,239 Speaker 1: that wish list a reality. Now luckily she failed. But 643 00:38:31,320 --> 00:38:33,799 Speaker 1: you've got to give this president credit. Do you know 644 00:38:34,719 --> 00:38:38,440 Speaker 1: at president she the communist country of China taken the 645 00:38:38,440 --> 00:38:41,279 Speaker 1: action of this president, ninety five percent of this would 646 00:38:41,320 --> 00:38:44,360 Speaker 1: have never happened. We could have contained this inside China 647 00:38:44,520 --> 00:38:48,200 Speaker 1: if they would allowed. Our experts, our scientists are doctors 648 00:38:48,239 --> 00:38:51,239 Speaker 1: in now you can't you can't trust their numbers and 649 00:38:51,320 --> 00:38:54,400 Speaker 1: what they're talking about. But look at the ingenuity of America. 650 00:38:54,719 --> 00:38:56,800 Speaker 1: It was just like a month ago Abbott was talking 651 00:38:56,840 --> 00:38:59,759 Speaker 1: about having a test to make it within five to 652 00:39:00,000 --> 00:39:02,680 Speaker 1: ten minutes. Now it's a reality. You watch what this 653 00:39:02,760 --> 00:39:07,279 Speaker 1: president has done prior to this, getting the FDA to 654 00:39:07,360 --> 00:39:10,319 Speaker 1: approve a bill for a right to try as for 655 00:39:10,520 --> 00:39:13,879 Speaker 1: anything in the future. If you're terminal and you've got 656 00:39:13,920 --> 00:39:16,360 Speaker 1: a new drug coming forward, you can try it. He 657 00:39:16,560 --> 00:39:19,319 Speaker 1: was prepared and push that. I remember him calling me 658 00:39:19,400 --> 00:39:21,520 Speaker 1: late at night. We try to get that through, Kevin, 659 00:39:22,040 --> 00:39:25,160 Speaker 1: and that's a benefit that we're helping right now. I 660 00:39:25,280 --> 00:39:29,600 Speaker 1: think that was again, that's transformational. Look, nobody really wants 661 00:39:29,640 --> 00:39:33,280 Speaker 1: to hear this now, but the fact is, I don't 662 00:39:33,320 --> 00:39:36,560 Speaker 1: think people, if we have any signs of a future pandemic, 663 00:39:36,600 --> 00:39:39,839 Speaker 1: after all we've been through here, that a travel ban 664 00:39:40,000 --> 00:39:43,919 Speaker 1: is going to be called xenophobic, hysterical, and fearmongering. Same 665 00:39:43,960 --> 00:39:49,040 Speaker 1: with quarantine. You know, the eliminating FDA draconian rules and 666 00:39:49,120 --> 00:39:54,400 Speaker 1: regulations because of the promise of off label use of 667 00:39:54,440 --> 00:39:58,600 Speaker 1: a drug like hydroxy chloroquin that was made in nineteen 668 00:39:58,680 --> 00:40:01,759 Speaker 1: forty five, and according to experts, there's some risk, there's 669 00:40:01,760 --> 00:40:04,400 Speaker 1: a risk taking a title at all, but very minimal 670 00:40:04,520 --> 00:40:08,279 Speaker 1: and the doses we're talking about and showing incredible anecdotal 671 00:40:08,320 --> 00:40:13,640 Speaker 1: results exactly, and this president has ability to push the 672 00:40:13,760 --> 00:40:18,200 Speaker 1: FDA to go further. Watch now Abbott has a test 673 00:40:18,760 --> 00:40:21,440 Speaker 1: that you can get back within about ten minutes something 674 00:40:21,440 --> 00:40:25,160 Speaker 1: it took days. It took us two years to get 675 00:40:25,200 --> 00:40:27,800 Speaker 1: us into trial one testing for a vaccine for stars. 676 00:40:28,040 --> 00:40:31,000 Speaker 1: We are already into a trial one. Look what Johnson 677 00:40:31,000 --> 00:40:33,759 Speaker 1: and Johnson is announcing a billion dollars into this. Now, 678 00:40:34,320 --> 00:40:36,600 Speaker 1: this is the difference between America and the rest of 679 00:40:36,640 --> 00:40:38,879 Speaker 1: the world. Yes, we're going to come out stronger, We're 680 00:40:38,880 --> 00:40:40,480 Speaker 1: going to get over this, but we're also not. I'm 681 00:40:40,480 --> 00:40:42,560 Speaker 1: going to save America, but we'll save the worlds. Whereas 682 00:40:42,640 --> 00:40:47,880 Speaker 1: China created this, that is a big contention for me. 683 00:40:48,280 --> 00:40:51,960 Speaker 1: Did you see I have not independently confirmed it, but 684 00:40:52,000 --> 00:40:55,400 Speaker 1: I saw enough credible people that wrote it. I think 685 00:40:55,440 --> 00:40:58,719 Speaker 1: there is an Australian newspaper that they were drained of 686 00:40:58,760 --> 00:41:02,560 Speaker 1: their masks by China and that there are bulk purchases 687 00:41:02,560 --> 00:41:05,319 Speaker 1: that were made they knowing what was coming and not 688 00:41:05,440 --> 00:41:12,040 Speaker 1: being particularly thoughtful for their Australian you know, human beings 689 00:41:12,040 --> 00:41:14,920 Speaker 1: by doing that and at least not warning them of it. Apparently, 690 00:41:14,920 --> 00:41:16,799 Speaker 1: I don't see any warning, and I don't think to 691 00:41:16,840 --> 00:41:19,279 Speaker 1: this day we've gotten the real numbers for them from them, 692 00:41:19,320 --> 00:41:21,880 Speaker 1: do you? No, we do not have the real numbers 693 00:41:21,880 --> 00:41:23,920 Speaker 1: that I saw an article today they were saying from 694 00:41:23,920 --> 00:41:26,279 Speaker 1: Wu on just itself. They think they're people are over 695 00:41:26,360 --> 00:41:29,000 Speaker 1: there saying forty three thousand they believe had died there. 696 00:41:29,280 --> 00:41:31,279 Speaker 1: You can't trust the numbers coming out of China. But 697 00:41:31,400 --> 00:41:33,840 Speaker 1: we have guys on the ground now, aren't they Aren't 698 00:41:33,840 --> 00:41:36,560 Speaker 1: they now beginning to realize that they better to share 699 00:41:36,560 --> 00:41:39,399 Speaker 1: this information with the world. Well, they harmed the entire 700 00:41:39,440 --> 00:41:41,360 Speaker 1: world by not sharing and allowing us in at the 701 00:41:41,400 --> 00:41:44,360 Speaker 1: beginning trying to cover it up. Had they acted differently, 702 00:41:46,040 --> 00:41:49,160 Speaker 1: never would I read that same study. I saw that 703 00:41:49,239 --> 00:41:51,759 Speaker 1: the President has been right long before. This is one 704 00:41:51,800 --> 00:41:54,000 Speaker 1: of our problems as well of what has happened for 705 00:41:54,040 --> 00:41:57,479 Speaker 1: the last two decades with China acquiring the supply chain 706 00:41:57,520 --> 00:41:59,520 Speaker 1: in so many different industries. I want to tell you 707 00:41:59,520 --> 00:42:02,160 Speaker 1: a conversation I had this weekend. I was talking to 708 00:42:02,239 --> 00:42:06,160 Speaker 1: some very high up CEOs of major corporations that were 709 00:42:06,200 --> 00:42:11,520 Speaker 1: helping us acquire more PPE the personal protection equipment that 710 00:42:11,640 --> 00:42:15,000 Speaker 1: everybody so needs so when they're purchasing some of that 711 00:42:15,080 --> 00:42:17,359 Speaker 1: supply chain is in China, they control a lot of it. 712 00:42:17,520 --> 00:42:19,839 Speaker 1: So they had purchased some already. They just found out 713 00:42:19,880 --> 00:42:23,640 Speaker 1: that she had taken over the factory. Why because McCrone 714 00:42:23,719 --> 00:42:26,239 Speaker 1: had called them and wanted to purchase some and he 715 00:42:26,280 --> 00:42:27,960 Speaker 1: was going to send it to France because he was 716 00:42:28,080 --> 00:42:33,239 Speaker 1: leveraging France to take Walway in for another supply chain 717 00:42:33,320 --> 00:42:38,480 Speaker 1: in the industry US. This has to change. By the way, 718 00:42:38,520 --> 00:42:43,719 Speaker 1: we cannot allow pharmaceuticals to be Now. We do have 719 00:42:43,760 --> 00:42:48,480 Speaker 1: great pharmaceutical companies here. We had our friends Israel stepped up. 720 00:42:48,480 --> 00:42:53,040 Speaker 1: They send an US ten million doses of hydroxy chloroquin 721 00:42:53,719 --> 00:42:57,960 Speaker 1: That's a lot, yeah, but it's part of the ingredients 722 00:42:58,120 --> 00:43:01,279 Speaker 1: the kids were critical mineral to take to build a 723 00:43:01,320 --> 00:43:05,080 Speaker 1: lot of our military items they have and they utilize 724 00:43:05,120 --> 00:43:09,120 Speaker 1: it just to control more. This is something President Trump 725 00:43:09,160 --> 00:43:11,800 Speaker 1: had warned us when he was campaigning and be working 726 00:43:11,800 --> 00:43:14,319 Speaker 1: to change. This is something that we have to wake 727 00:43:14,400 --> 00:43:16,439 Speaker 1: up as a nation. We have to protect our health 728 00:43:16,520 --> 00:43:19,680 Speaker 1: right now, get through this, but never put us put 729 00:43:19,680 --> 00:43:22,359 Speaker 1: ourselves in this position. Let me ask you this. So 730 00:43:22,520 --> 00:43:24,880 Speaker 1: we're two and eighteen days away from an election now, 731 00:43:24,920 --> 00:43:28,200 Speaker 1: the President has decided to listen to Oh, Republicans don't 732 00:43:28,200 --> 00:43:30,719 Speaker 1: believe in science. He's listening to the scientists. And now 733 00:43:30,760 --> 00:43:34,440 Speaker 1: he's extended this through you know, social distancing, all those 734 00:43:34,480 --> 00:43:39,400 Speaker 1: stuff through April the thirtieth, the moneys have been allocated, 735 00:43:39,600 --> 00:43:42,239 Speaker 1: there's money available to it, the Fed for loans, etc. 736 00:43:43,960 --> 00:43:47,080 Speaker 1: The second quarter is going to be a total shift show. No, 737 00:43:47,239 --> 00:43:49,880 Speaker 1: it's it's simple math. It's not that hard to figure. 738 00:43:50,480 --> 00:43:52,560 Speaker 1: If we can get through this by the end of 739 00:43:52,600 --> 00:43:55,720 Speaker 1: the second quarter or before, what do you think happens 740 00:43:55,719 --> 00:43:58,560 Speaker 1: to the economy On the other side of that, You 741 00:43:58,600 --> 00:44:01,399 Speaker 1: could have, like a hockey stid grow some of our 742 00:44:01,400 --> 00:44:04,640 Speaker 1: greatest growth in a short amount of time. Why you 743 00:44:04,680 --> 00:44:06,800 Speaker 1: watch what the President just got us through and signed 744 00:44:06,800 --> 00:44:09,200 Speaker 1: the other day. If you are a small business and 745 00:44:09,320 --> 00:44:11,719 Speaker 1: this is five hundre employees or fewer, which employ the 746 00:44:11,719 --> 00:44:14,960 Speaker 1: majority of Americans, you can go in and get a 747 00:44:15,000 --> 00:44:18,160 Speaker 1: guaranteed loan. But this is what's so important. You get 748 00:44:18,160 --> 00:44:20,520 Speaker 1: two and a half times where your payroll expenses are 749 00:44:20,520 --> 00:44:23,560 Speaker 1: and others. You pay your rent, you pay your employees, 750 00:44:23,640 --> 00:44:26,160 Speaker 1: you pay your utilities. You don't owe any of that 751 00:44:26,440 --> 00:44:28,840 Speaker 1: for the next two months. If you're a large business. 752 00:44:29,080 --> 00:44:31,960 Speaker 1: We give you a guaranteed loan. But what's more importantly, 753 00:44:32,160 --> 00:44:33,839 Speaker 1: we give you a tax and s anywhere we pay 754 00:44:33,920 --> 00:44:37,000 Speaker 1: for half of your employees. We want to keep people employed. 755 00:44:37,360 --> 00:44:40,920 Speaker 1: It's important get us through during this shutdown period and 756 00:44:40,960 --> 00:44:43,640 Speaker 1: then get our economy back growing again. And there's no 757 00:44:43,680 --> 00:44:47,439 Speaker 1: one who understands the economy better than President Trump. Look 758 00:44:47,480 --> 00:44:49,800 Speaker 1: what he was able to build beforehand. This isn't because 759 00:44:49,800 --> 00:44:52,560 Speaker 1: some banks or Wall Street did something wrong. This is 760 00:44:52,600 --> 00:44:55,880 Speaker 1: because China lie to the world. We had the largest economy, 761 00:44:55,960 --> 00:44:58,480 Speaker 1: the strongest we've ever had, and we will grow that 762 00:44:58,640 --> 00:45:01,560 Speaker 1: right back. We need to get through a bridge right now. 763 00:45:01,840 --> 00:45:04,800 Speaker 1: And that's what that resource you give. It provides checks 764 00:45:04,800 --> 00:45:07,680 Speaker 1: to individuals, It gives you for unemployment if you're on 765 00:45:07,719 --> 00:45:09,759 Speaker 1: there even in the first week, and it gives you 766 00:45:09,760 --> 00:45:13,120 Speaker 1: an extra six hundred every element, one hundred and forty 767 00:45:13,120 --> 00:45:16,000 Speaker 1: billion to the hospitals. So we don't want those dentilators 768 00:45:16,040 --> 00:45:18,680 Speaker 1: being stored in, not taking out. We want them being used. 769 00:45:18,680 --> 00:45:20,680 Speaker 1: But we're going to provide them as well, all right, 770 00:45:20,719 --> 00:45:25,360 Speaker 1: Kevin McCarthy, the hopefully maybe it won't be Speaker Pelosi 771 00:45:25,400 --> 00:45:27,840 Speaker 1: in two and eighteen days, we'll see. Thank you for 772 00:45:27,880 --> 00:45:30,439 Speaker 1: all you're doing. It's all hands on deck. I'm glad 773 00:45:30,440 --> 00:45:32,799 Speaker 1: there are some adults loved in Washington, all right, our 774 00:45:32,800 --> 00:45:35,200 Speaker 1: medical eight team when we after the news at the 775 00:45:35,200 --> 00:45:37,320 Speaker 1: bottom of the hour, we have Michelle though first in 776 00:45:37,440 --> 00:45:41,440 Speaker 1: North Carolina is a nurse. And I know I speak 777 00:45:41,480 --> 00:45:44,600 Speaker 1: on behalf of everybody in this audience and this country. 778 00:45:44,760 --> 00:45:46,960 Speaker 1: Thank you all for what you do every day. You 779 00:45:47,080 --> 00:45:51,479 Speaker 1: risk your lives for us every day. Thank you. Wow, 780 00:45:51,640 --> 00:45:54,600 Speaker 1: You're very welcome, Sean, and I thank you and everybody 781 00:45:54,600 --> 00:45:58,120 Speaker 1: else who is saving this country one true story at 782 00:45:58,120 --> 00:46:01,120 Speaker 1: a time, because we desperately need it. There was one 783 00:46:01,160 --> 00:46:03,319 Speaker 1: thing that I just I just want to share a 784 00:46:03,360 --> 00:46:06,879 Speaker 1: little bit of hope. I feel like what really needs 785 00:46:06,920 --> 00:46:10,200 Speaker 1: to be promoted right now is the fact that I 786 00:46:10,239 --> 00:46:12,920 Speaker 1: know there's a lot of talk of anecdotal in this 787 00:46:13,120 --> 00:46:17,000 Speaker 1: hydroclor quin in the existramyc in combination, and I just 788 00:46:17,040 --> 00:46:20,960 Speaker 1: want to say one thing. If I had COVID nineteen 789 00:46:21,040 --> 00:46:23,200 Speaker 1: or somebody that I love had it and they were 790 00:46:23,239 --> 00:46:27,560 Speaker 1: struggling with a respiratory illness, I would be so thankful 791 00:46:27,920 --> 00:46:31,320 Speaker 1: that there is antecdotal proof that people have been cured 792 00:46:31,360 --> 00:46:34,520 Speaker 1: of this by taking these medications. Because I think what 793 00:46:34,560 --> 00:46:38,000 Speaker 1: we're focusing on is, you know, everybody wants the ventilators 794 00:46:38,000 --> 00:46:41,040 Speaker 1: and everybody wants the respirators, but what people aren't realizing 795 00:46:41,160 --> 00:46:44,600 Speaker 1: is getting a ventilator doesn't mean that you're going to 796 00:46:44,640 --> 00:46:48,640 Speaker 1: survive this disease. Basically, what that's saying is now your 797 00:46:48,719 --> 00:46:52,720 Speaker 1: lungs have become so weakened and incapacitated that you can't 798 00:46:52,719 --> 00:46:56,840 Speaker 1: breathe for yourself, and I like you would take it 799 00:46:56,920 --> 00:47:00,000 Speaker 1: in a second. That's my decision. I'm not a doctor, 800 00:47:00,360 --> 00:47:03,680 Speaker 1: but I'll give you the last fifteen seconds. Well, and 801 00:47:03,960 --> 00:47:05,880 Speaker 1: just to say, the other thing that I think is 802 00:47:05,880 --> 00:47:10,680 Speaker 1: super important is us recognizing that we have a responsibility 803 00:47:10,719 --> 00:47:13,040 Speaker 1: to be taking care of our bodies. And it's fearful 804 00:47:13,080 --> 00:47:15,239 Speaker 1: to me to see so many people that we're in 805 00:47:15,320 --> 00:47:19,080 Speaker 1: such a rush to be victims and everybody wants the 806 00:47:19,120 --> 00:47:22,080 Speaker 1: government to do everything for us. And yes, absolutely Trump 807 00:47:22,120 --> 00:47:24,759 Speaker 1: is doing an absolutely wonderful job. He had all these 808 00:47:24,800 --> 00:47:27,759 Speaker 1: wonderful scientists. It's on a hard break. Our medical aid 809 00:47:27,800 --> 00:47:31,319 Speaker 1: team is next. You are amazing. Thank you, doctor Burkes. 810 00:47:31,400 --> 00:47:34,719 Speaker 1: Where are we today and where is this headed in 811 00:47:34,760 --> 00:47:38,240 Speaker 1: the next few weeks? Well, this is the way pandemics work. 812 00:47:38,320 --> 00:47:40,920 Speaker 1: And that's why we all are deeply concerned and why 813 00:47:40,960 --> 00:47:43,839 Speaker 1: we've been raising the alert in all metro areas and 814 00:47:43,880 --> 00:47:47,880 Speaker 1: in all states. No state, no metro area will be spared. 815 00:47:48,280 --> 00:47:50,920 Speaker 1: And the sooner we react, and the sooner the states 816 00:47:50,920 --> 00:47:54,520 Speaker 1: and the metro areas react and ensure that they've put 817 00:47:54,560 --> 00:47:57,880 Speaker 1: in full mitigation at the same time understanding exactly what 818 00:47:57,920 --> 00:48:01,799 Speaker 1: their hospitals need. I want to point out that the 819 00:48:01,960 --> 00:48:06,839 Speaker 1: hydroxy chloric quin is being administered to one thousand, one 820 00:48:06,920 --> 00:48:12,600 Speaker 1: hundred patients people in New York along with the ZPAC 821 00:48:12,719 --> 00:48:19,319 Speaker 1: which is zithromyson, and it's very early yet, it's only 822 00:48:19,440 --> 00:48:23,360 Speaker 1: it started two days ago, but we will see what happens. 823 00:48:23,480 --> 00:48:26,960 Speaker 1: I want to thank Stephen Hahn, who's a great doctor, 824 00:48:28,280 --> 00:48:31,400 Speaker 1: left one of the best jobs in our country running 825 00:48:32,440 --> 00:48:35,719 Speaker 1: an incredible hospital in Texas, and he's the head of 826 00:48:35,719 --> 00:48:39,800 Speaker 1: the FDA. And Stephen got approval for that so fast. 827 00:48:39,840 --> 00:48:41,920 Speaker 1: Let's see how it works. It may it may not, 828 00:48:42,680 --> 00:48:46,160 Speaker 1: but we may have some incredible results. We're gonna know soon. 829 00:48:46,520 --> 00:48:49,120 Speaker 1: So it's tested. It's being tested on one thousand, one 830 00:48:49,239 --> 00:48:51,680 Speaker 1: hundred people in New York twenty five out to the 831 00:48:51,719 --> 00:48:54,200 Speaker 1: top of the hour that was the President talking about 832 00:48:54,280 --> 00:48:59,480 Speaker 1: the hopes of hydroxy chloric quinn along with zither max 833 00:49:00,040 --> 00:49:03,839 Speaker 1: and the promising albeit anecdotal, but a lot of it 834 00:49:03,920 --> 00:49:07,839 Speaker 1: now it's coming pouring in every single day now. Wall 835 00:49:07,840 --> 00:49:11,000 Speaker 1: Street Journal has a piece out today that French study 836 00:49:12,040 --> 00:49:17,120 Speaker 1: released late last week, publishing the results eighty hospitalized patients 837 00:49:17,120 --> 00:49:22,479 Speaker 1: receiving the combination of hydroxy chloroquin and azithromyacin. By day 838 00:49:22,600 --> 00:49:28,120 Speaker 1: eight of the treatment, ninety three percent showed a negative 839 00:49:28,560 --> 00:49:32,799 Speaker 1: nasal swab for the virus quote. This allowed patients to 840 00:49:32,920 --> 00:49:38,319 Speaker 1: rapidly be discharged from highly contagious wards with a mean 841 00:49:38,440 --> 00:49:42,400 Speaker 1: length of stay of five days. Now, during the initial outbreak, 842 00:49:42,440 --> 00:49:47,080 Speaker 1: Wuhan doctors observe the patients with lupus. Remember this drug, 843 00:49:47,160 --> 00:49:50,600 Speaker 1: hydroxy chloroquin is used for lupus and it's an anti 844 00:49:50,920 --> 00:49:54,720 Speaker 1: malarial drug. Anyway, they had observed patients that have lupus, 845 00:49:55,440 --> 00:49:58,640 Speaker 1: meaning they take this medicine. It's been around since nineteen 846 00:49:58,719 --> 00:50:02,760 Speaker 1: forty five, is a common treatment. They did not seem 847 00:50:02,840 --> 00:50:07,800 Speaker 1: to develop COVID nineteen. They treated twenty COVID nineteen patients 848 00:50:07,800 --> 00:50:12,960 Speaker 1: with hydroxy chloroquin. Their result quote clinical symptoms improved significantly 849 00:50:13,680 --> 00:50:16,279 Speaker 1: in one to two days. After five days of chess 850 00:50:16,320 --> 00:50:23,640 Speaker 1: cet examination, nineteen cases showed significant absorption improvement. Kansas City 851 00:50:23,680 --> 00:50:26,680 Speaker 1: area of physicians continue to treat many patients and some 852 00:50:26,719 --> 00:50:30,480 Speaker 1: have shown improvement. Major medical centers now including the University 853 00:50:30,480 --> 00:50:34,680 Speaker 1: of Washington Mass General, they have now added hydroxy chloroquin 854 00:50:34,719 --> 00:50:37,920 Speaker 1: to treatment options. I mentioned that the start of the 855 00:50:38,040 --> 00:50:39,719 Speaker 1: show that I had a very good friend of mine 856 00:50:39,760 --> 00:50:42,000 Speaker 1: texts me, he's in he's a little older than me, 857 00:50:42,080 --> 00:50:45,960 Speaker 1: and he's in a hospital with pneumonia in Florida. They 858 00:50:46,120 --> 00:50:50,439 Speaker 1: were not at that point using hydroxy chloroquin. He went 859 00:50:50,480 --> 00:50:52,920 Speaker 1: on it. He's home today. That was less than a 860 00:50:52,960 --> 00:50:56,520 Speaker 1: week ago. Ron de Santis has decided to order up 861 00:50:56,520 --> 00:51:01,600 Speaker 1: a rush shipment to his state the purpose of having 862 00:51:01,600 --> 00:51:05,560 Speaker 1: it available for the citizens of Florida. For the people 863 00:51:05,560 --> 00:51:10,799 Speaker 1: of Florida, the FDA announced emergency approval for hydroxy chloroquin. 864 00:51:11,480 --> 00:51:14,520 Speaker 1: The Israelis were pretty amazing. They sent the six million 865 00:51:14,600 --> 00:51:20,200 Speaker 1: doses and they're sending another four million doses. We know that. 866 00:51:20,239 --> 00:51:22,880 Speaker 1: The President said, we have this trial going on eleven 867 00:51:22,960 --> 00:51:25,879 Speaker 1: hundred people in New York. Even now, I'm not sure why. 868 00:51:26,000 --> 00:51:31,160 Speaker 1: Governor Cuomo issued an executive order saying that off label use. 869 00:51:31,320 --> 00:51:34,000 Speaker 1: People can't get it on their own at a pharmacy. 870 00:51:34,160 --> 00:51:36,560 Speaker 1: Not sure why they're doing that. I'm a big believer 871 00:51:36,680 --> 00:51:40,719 Speaker 1: right to try. We also know that Novartis, the chief 872 00:51:40,760 --> 00:51:45,320 Speaker 1: executive said this was a Yahoo Finance article. The company's 873 00:51:45,360 --> 00:51:50,759 Speaker 1: biggest hope against coronavirus is, in fact, hydroxy chloroquin and 874 00:51:50,840 --> 00:51:53,120 Speaker 1: they have now pledged to donate one hundred and thirty 875 00:51:53,160 --> 00:51:57,200 Speaker 1: million doses and are supporting clinical trials before the medicine. 876 00:51:57,239 --> 00:52:00,279 Speaker 1: Doctor Oz is also doing his own testing and les 877 00:52:00,320 --> 00:52:04,000 Speaker 1: at Columbia where he is affiliated with joining us our 878 00:52:04,000 --> 00:52:09,520 Speaker 1: medical a team doctor Nicole Sapphire and doctor Jeffrey Colliers 879 00:52:09,560 --> 00:52:12,239 Speaker 1: with us. Thank you both for being here. By the way, 880 00:52:12,239 --> 00:52:14,920 Speaker 1: your former governor, sorry to hear that. Doctor, I think 881 00:52:14,960 --> 00:52:16,760 Speaker 1: you took a step down when you went into politics. 882 00:52:16,840 --> 00:52:20,719 Speaker 1: You were doing so much, You were doing so much better. Yes, 883 00:52:20,920 --> 00:52:23,080 Speaker 1: it's more fun. The chance to cut is the chance 884 00:52:23,120 --> 00:52:27,360 Speaker 1: to cure in my world. What are your thoughts? What 885 00:52:27,400 --> 00:52:32,319 Speaker 1: do you see? Yeah? So, so we first published an 886 00:52:32,400 --> 00:52:35,040 Speaker 1: article in the Wall Street Journal last week because of 887 00:52:36,040 --> 00:52:39,239 Speaker 1: all of the data that was coming out nationally, and 888 00:52:39,719 --> 00:52:42,120 Speaker 1: we felt it had to get that information had to 889 00:52:42,120 --> 00:52:45,200 Speaker 1: get out very quickly. There and we followed that up 890 00:52:45,440 --> 00:52:49,440 Speaker 1: with the new data that's happening this week. You know, 891 00:52:49,520 --> 00:52:52,400 Speaker 1: this is pretty major stuff for us. We're in a 892 00:52:52,480 --> 00:52:56,759 Speaker 1: situation where we don't have good treatment options, and I've 893 00:52:56,760 --> 00:52:59,799 Speaker 1: had on a white coat and the blue coat. This 894 00:52:59,880 --> 00:53:02,560 Speaker 1: is one where we really need to explore it more, 895 00:53:02,680 --> 00:53:05,640 Speaker 1: and we are. We're starting to see we're starting to 896 00:53:05,680 --> 00:53:09,440 Speaker 1: see some good results, but we need more data. Okay, 897 00:53:09,560 --> 00:53:13,719 Speaker 1: so good anecdotally is everything you're seeing positive? Now? Look, 898 00:53:13,719 --> 00:53:15,759 Speaker 1: I've read all of the look if you read a 899 00:53:15,760 --> 00:53:17,680 Speaker 1: bottle of thaile at all, doctor, you know, and I 900 00:53:17,719 --> 00:53:22,600 Speaker 1: know you're never gonna take taile at all. But so 901 00:53:22,640 --> 00:53:25,719 Speaker 1: far we've not seen LOOK in high doses. I've read, hey, 902 00:53:25,760 --> 00:53:29,000 Speaker 1: this can people can lose their sight, but not as 903 00:53:29,040 --> 00:53:31,520 Speaker 1: the doses we're talking about here, Doctor Sapphire, Let's ask you, 904 00:53:31,520 --> 00:53:34,280 Speaker 1: what are your thoughts on this anecdotal information. It seems 905 00:53:34,360 --> 00:53:37,279 Speaker 1: very promising. Yeah, so, Sean, I mean, I agree with you. 906 00:53:37,440 --> 00:53:40,600 Speaker 1: Let's let's be honest. The biggest reason that hydroxyl clorquin 907 00:53:40,640 --> 00:53:43,440 Speaker 1: and as if they're mic in combinations controversial is because 908 00:53:43,520 --> 00:53:46,320 Speaker 1: President Trump supported it. Because anything that he says is 909 00:53:46,320 --> 00:53:48,359 Speaker 1: going to work. I mean, the majority of the media 910 00:53:48,480 --> 00:53:50,279 Speaker 1: is going to say it's not going to work. Now. 911 00:53:50,280 --> 00:53:53,960 Speaker 1: The truth is, when it comes to treatments and technology, 912 00:53:54,040 --> 00:53:56,760 Speaker 1: we want it to know, have all the check marks 913 00:53:56,840 --> 00:54:00,320 Speaker 1: for safety and efficacy. But here's the thing, this is 914 00:54:00,360 --> 00:54:03,680 Speaker 1: not no strange thing. I mean, doctors bertrand Fauci dealt 915 00:54:03,719 --> 00:54:06,959 Speaker 1: with this with the HIV epidemic and pandemic as well. 916 00:54:07,040 --> 00:54:09,880 Speaker 1: It's called parallel tracking. If you have a medication that 917 00:54:09,920 --> 00:54:14,120 Speaker 1: has proven safe and efficacy is you know, somewhat questionable, 918 00:54:14,160 --> 00:54:17,560 Speaker 1: but you're seeing anecdotal improvements, then you throw it at 919 00:54:17,600 --> 00:54:19,759 Speaker 1: people and you see if it works. And that's what's 920 00:54:19,800 --> 00:54:22,680 Speaker 1: happening right now. And again, the reason I believe is 921 00:54:22,719 --> 00:54:25,800 Speaker 1: there's so much controversy right now is because there's always 922 00:54:25,800 --> 00:54:29,399 Speaker 1: controversy surrounding President Trump. Now. Of course, both of those medications, 923 00:54:29,400 --> 00:54:32,680 Speaker 1: when used together, can prolong what's called your QT interval, 924 00:54:32,719 --> 00:54:34,680 Speaker 1: which has to do with the electricity of the heart. 925 00:54:35,080 --> 00:54:37,480 Speaker 1: We want to make sure that people don't have what 926 00:54:37,560 --> 00:54:40,680 Speaker 1: could be fatal heart rhythmias when taken these in combination, 927 00:54:40,840 --> 00:54:44,759 Speaker 1: which is why both medications require a prescription and they 928 00:54:44,840 --> 00:54:49,640 Speaker 1: need to be done under under a physicians supervision. But 929 00:54:49,880 --> 00:54:51,920 Speaker 1: you know, but so people wouldn't be taking this on 930 00:54:51,960 --> 00:54:54,319 Speaker 1: their own anyway, so you'd need a prescription for it. 931 00:54:54,360 --> 00:54:58,120 Speaker 1: And why would Governor Cuomo prevent I know he has 932 00:54:58,120 --> 00:55:01,520 Speaker 1: a trial going on, but he is prevent New Yorkers 933 00:55:01,560 --> 00:55:05,319 Speaker 1: that the pharmacies from dispensing it off label at all. 934 00:55:05,760 --> 00:55:08,600 Speaker 1: You can't get it, you won't allow it to happen. Well, 935 00:55:08,600 --> 00:55:10,560 Speaker 1: that is one of the biggest fundamental problems I have 936 00:55:10,680 --> 00:55:13,239 Speaker 1: with government intrusion and healthcare, which is why I've written 937 00:55:13,239 --> 00:55:15,759 Speaker 1: an entire book about it. But you know that just 938 00:55:15,800 --> 00:55:17,560 Speaker 1: plays along with it. And the reason he's doing that 939 00:55:17,640 --> 00:55:19,880 Speaker 1: is because people are awarding these medications. I can tell 940 00:55:19,920 --> 00:55:23,600 Speaker 1: you every rheumatologist I know wrote about a million prescriptions 941 00:55:23,640 --> 00:55:26,160 Speaker 1: for both of these both of these medications. As soon 942 00:55:26,200 --> 00:55:28,480 Speaker 1: as we're hit the street, and just for my own 943 00:55:28,560 --> 00:55:32,279 Speaker 1: personal twests for knowledge, I called my local pharmacies to 944 00:55:32,320 --> 00:55:34,560 Speaker 1: see if they hadn't had it, and none of them did. 945 00:55:34,680 --> 00:55:37,279 Speaker 1: So he's doing that so they don't run out of 946 00:55:37,280 --> 00:55:40,520 Speaker 1: their supply. Luckily, our private sector has stepped up and 947 00:55:40,960 --> 00:55:42,719 Speaker 1: are going to be donating a whole bunch. But I 948 00:55:42,760 --> 00:55:45,879 Speaker 1: truly think that he's just doing that because he wants 949 00:55:45,880 --> 00:55:48,680 Speaker 1: to preserve supply for those in need. Well, it sounds 950 00:55:48,719 --> 00:55:53,520 Speaker 1: like between Baar Novardis Israel and everywhere else that we're 951 00:55:53,600 --> 00:55:57,480 Speaker 1: not going to have a shortage of dosage. Here's the 952 00:55:57,520 --> 00:56:01,280 Speaker 1: main question, and doctor call your asked you first. Here's 953 00:56:01,320 --> 00:56:04,560 Speaker 1: my question. If you had this or your mother a 954 00:56:04,719 --> 00:56:10,520 Speaker 1: father had this, would you would you prescribe it to them? Now, 955 00:56:10,560 --> 00:56:13,480 Speaker 1: I'm not a doctor, and everything I've read, I'm a layman. 956 00:56:13,920 --> 00:56:16,560 Speaker 1: For me personally, and I'm only speaking for myself, I 957 00:56:16,560 --> 00:56:20,319 Speaker 1: would take it in a heartbeat, yes, And I would 958 00:56:20,320 --> 00:56:25,200 Speaker 1: be the same here. And you know, for me and 959 00:56:25,360 --> 00:56:28,000 Speaker 1: for my family, and I know the risks and what's 960 00:56:28,040 --> 00:56:31,080 Speaker 1: going on with my family. And I think people need 961 00:56:31,160 --> 00:56:35,680 Speaker 1: to have a good relationship with their doctor, explain why 962 00:56:35,760 --> 00:56:38,680 Speaker 1: they're concerned about their doctor can explain you know, their 963 00:56:38,800 --> 00:56:41,680 Speaker 1: understanding of it, and their understanding is going to change 964 00:56:41,800 --> 00:56:44,160 Speaker 1: with a little bit of time here. I think you're 965 00:56:44,160 --> 00:56:48,200 Speaker 1: going to see a better answer about this in probably 966 00:56:48,239 --> 00:56:50,759 Speaker 1: a couple of weeks, once we have all of those 967 00:56:50,840 --> 00:56:53,719 Speaker 1: data back on some of these tests that are there. 968 00:56:53,760 --> 00:56:57,280 Speaker 1: But I've seen good results with some of our patients 969 00:56:57,920 --> 00:57:02,160 Speaker 1: and it's been consistent results in several different studies. But 970 00:57:02,480 --> 00:57:05,879 Speaker 1: we're going to need more well, But I think that's 971 00:57:05,880 --> 00:57:08,440 Speaker 1: the main question, doctor Sapphire. How about you if it 972 00:57:08,560 --> 00:57:12,480 Speaker 1: was your mom, your dad, yourself. Now I work I 973 00:57:12,560 --> 00:57:14,640 Speaker 1: work at the largest, one of the largest hospital and 974 00:57:14,680 --> 00:57:17,400 Speaker 1: cancer centers in the world, So I am no stranger 975 00:57:17,480 --> 00:57:21,240 Speaker 1: to academic medicine and the you know, the shackles that 976 00:57:21,320 --> 00:57:24,360 Speaker 1: keep us down. But the truth is, yes, gold golden 977 00:57:24,400 --> 00:57:28,080 Speaker 1: standard is UM, you know, for evidence space medicine. We 978 00:57:28,160 --> 00:57:33,160 Speaker 1: want randomized, blinded studies. However, it's also our quest for 979 00:57:33,240 --> 00:57:36,320 Speaker 1: this in academia is our Achilles heal because if we 980 00:57:36,440 --> 00:57:38,480 Speaker 1: say that, well, we have to have these gold standard 981 00:57:39,120 --> 00:57:42,320 Speaker 1: UM studies to prove something. People are dying in the 982 00:57:42,320 --> 00:57:45,560 Speaker 1: interim and we are you were lacking in you know, 983 00:57:45,680 --> 00:57:48,400 Speaker 1: expediting being able to treat some of these patients. So 984 00:57:49,080 --> 00:57:51,640 Speaker 1: as I am cautiously optimistic, I don't think it should 985 00:57:51,680 --> 00:57:53,920 Speaker 1: just be a free for all and everyone can just 986 00:57:54,000 --> 00:57:55,920 Speaker 1: take it. But the truth is, at this point, we 987 00:57:56,040 --> 00:57:58,680 Speaker 1: have a lot of studies going on and we're seeing 988 00:57:58,880 --> 00:58:02,080 Speaker 1: improvements and we can wait for that randomized, controlled, blinded 989 00:58:02,120 --> 00:58:04,880 Speaker 1: study a little bit down the road right now, I mean, 990 00:58:04,920 --> 00:58:07,640 Speaker 1: we have naval ships coming in, We're building a hospital 991 00:58:07,640 --> 00:58:10,720 Speaker 1: in Central Park, at this point, you want to treat people, 992 00:58:10,800 --> 00:58:13,640 Speaker 1: you want to treat them safely, and I'm more inclined 993 00:58:13,680 --> 00:58:16,880 Speaker 1: to treat them with already FDA approved medications like the 994 00:58:17,000 --> 00:58:20,600 Speaker 1: hydroxychloroquin and the asis their mycin as opposed to some 995 00:58:20,680 --> 00:58:24,400 Speaker 1: of the newer medicines like rhomdems of beer, which hasn't 996 00:58:24,400 --> 00:58:27,520 Speaker 1: necessarily gone through all the checks and balances of FDA approval. 997 00:58:27,640 --> 00:58:31,880 Speaker 1: So I am more inclined to treat people with medications 998 00:58:31,960 --> 00:58:34,720 Speaker 1: across the growth. Well, have you have you been reading 999 00:58:34,760 --> 00:58:39,800 Speaker 1: about any cases, doctor Sapphire where it has been detrimental, 1000 00:58:39,880 --> 00:58:42,600 Speaker 1: because I have not seen that. I know. Yeah, you 1001 00:58:42,720 --> 00:58:45,200 Speaker 1: write about heart or rhythmia. You know you've got to 1002 00:58:45,200 --> 00:58:48,480 Speaker 1: watch out for that a person as those problems at 1003 00:58:48,560 --> 00:58:54,080 Speaker 1: these doses. We're not talking about any eyesight impairment that 1004 00:58:54,160 --> 00:58:57,040 Speaker 1: I've read. Tell me if I'm wrong. No, I also 1005 00:58:57,080 --> 00:58:58,960 Speaker 1: have not heard any reports of that. Of course, you 1006 00:58:59,040 --> 00:59:04,840 Speaker 1: always work worry about antibiotic resistance for long term, and 1007 00:59:04,880 --> 00:59:06,960 Speaker 1: we don't want a lot of people taking as if 1008 00:59:06,960 --> 00:59:09,040 Speaker 1: they're my sin if they don't need to, because we 1009 00:59:09,120 --> 00:59:14,080 Speaker 1: don't want to be breeding resistant bacteria. However, at this point, 1010 00:59:14,120 --> 00:59:17,040 Speaker 1: I have not seen any negatives, but that doesn't mean 1011 00:59:17,120 --> 00:59:19,520 Speaker 1: that they aren't going to be there. But right now, 1012 00:59:19,560 --> 00:59:22,360 Speaker 1: I think that we have potentially viable treatment options that 1013 00:59:22,400 --> 00:59:25,040 Speaker 1: need to continue to be explored, and we shouldn't just 1014 00:59:25,200 --> 00:59:29,400 Speaker 1: let people suffer while we wait for the perfect randomized 1015 00:59:29,400 --> 00:59:33,680 Speaker 1: controlled study. And your take on that, doctor, call your Yeah, Well, 1016 00:59:33,760 --> 00:59:37,040 Speaker 1: the FDA has approved this, and you know, they've seen 1017 00:59:37,080 --> 00:59:40,920 Speaker 1: the exact same data that we've talked about here, and 1018 00:59:41,040 --> 00:59:46,240 Speaker 1: they've approved this for inhospital They've first for inhospital use. 1019 00:59:46,640 --> 00:59:51,320 Speaker 1: That's where they are. You know, these medications, medications in general, 1020 00:59:51,400 --> 00:59:55,480 Speaker 1: about one out of five prescriptions are for off label uses, 1021 00:59:55,960 --> 00:59:59,760 Speaker 1: and this is considered an off label use for US. 1022 01:00:00,240 --> 01:00:04,400 Speaker 1: So I think, you know, doctors are are very comfortable 1023 01:00:04,760 --> 01:00:08,600 Speaker 1: using other medicines for off label uses. I think they 1024 01:00:08,600 --> 01:00:12,760 Speaker 1: can be comfortable here. Well, I think that doctor Nicole 1025 01:00:12,880 --> 01:00:18,080 Speaker 1: off label use, compassionate choice, or care, the right to try. 1026 01:00:18,680 --> 01:00:21,080 Speaker 1: I mean, if I'm I'm about to drop dead and 1027 01:00:21,760 --> 01:00:25,320 Speaker 1: I've exhausted every traditional treatment, God forbid, i have a 1028 01:00:25,360 --> 01:00:28,720 Speaker 1: cancer or something, and somebody tells me, hey, there's some 1029 01:00:28,800 --> 01:00:30,959 Speaker 1: hope over here. You might want to try this. I'm 1030 01:00:30,960 --> 01:00:33,720 Speaker 1: trying it. I'm not ready to go yet. I have 1031 01:00:33,760 --> 01:00:35,520 Speaker 1: a lot more. I have a lot more. I'm saying 1032 01:00:35,560 --> 01:00:39,000 Speaker 1: I'm sorry to a lot of people. First, Yeah, I know, absolutely, 1033 01:00:39,040 --> 01:00:41,960 Speaker 1: And you know that's my specialty. I work with cancer 1034 01:00:42,000 --> 01:00:44,480 Speaker 1: patients every day, and so you know, I'm all for 1035 01:00:44,760 --> 01:00:47,520 Speaker 1: right to try legislation as long as it proves safe. 1036 01:00:47,680 --> 01:00:49,520 Speaker 1: And at this point it does seem that a lot 1037 01:00:49,600 --> 01:00:52,480 Speaker 1: of these medications are proving safe. And I like the 1038 01:00:52,520 --> 01:00:55,840 Speaker 1: idea of trying to mountain. Yeah, and I think that 1039 01:00:55,840 --> 01:00:58,240 Speaker 1: that's just a smart thing to do. I mean, you 1040 01:00:58,280 --> 01:01:02,120 Speaker 1: ever see the what was the Dallas Buyer's Club, Matthew 1041 01:01:02,200 --> 01:01:05,320 Speaker 1: Mcconaughey'd you ever received that movie? Yeah? Yeah, right, I 1042 01:01:05,320 --> 01:01:07,560 Speaker 1: mean I kind of like that character. I'm like this guy. 1043 01:01:08,320 --> 01:01:10,720 Speaker 1: I liked everything that he was doing there and he 1044 01:01:10,960 --> 01:01:13,560 Speaker 1: had results, and like everybody wants to put him in 1045 01:01:13,640 --> 01:01:15,720 Speaker 1: jail when all he's trying to do is find some 1046 01:01:15,760 --> 01:01:20,520 Speaker 1: treatment when there is none act in that particular case. Yeah, 1047 01:01:20,560 --> 01:01:22,560 Speaker 1: there are a lot of stories like that, and especially 1048 01:01:22,600 --> 01:01:25,760 Speaker 1: when it came to HIV and epidemic, which doctors Burgie 1049 01:01:25,800 --> 01:01:28,720 Speaker 1: and ur Fauci and Burkes were a part of it, 1050 01:01:28,760 --> 01:01:32,920 Speaker 1: and they are well aware of these parallel tracking medications 1051 01:01:32,920 --> 01:01:35,760 Speaker 1: to try and treat so you know, I just you know, 1052 01:01:36,640 --> 01:01:38,240 Speaker 1: I think it's the right thing to do right now. 1053 01:01:38,280 --> 01:01:42,600 Speaker 1: We're obviously mitigating the spread of disease communitywide is crucial. 1054 01:01:42,960 --> 01:01:46,160 Speaker 1: Stopping new cases from coming within our borders is crucial. 1055 01:01:46,440 --> 01:01:49,160 Speaker 1: But at the same time, for long term outcomes, we 1056 01:01:49,160 --> 01:01:51,680 Speaker 1: need to make sure that we find effective treatments as 1057 01:01:51,720 --> 01:01:54,960 Speaker 1: well as continue getting the vaccine. Vaccine because this is 1058 01:01:55,000 --> 01:01:59,200 Speaker 1: going to come back last for doctor Collyer. You know, 1059 01:01:59,760 --> 01:02:03,080 Speaker 1: this has been this is our only tool that we 1060 01:02:03,160 --> 01:02:06,640 Speaker 1: have and it's not time for partisan divisiveness. We're going 1061 01:02:06,680 --> 01:02:09,520 Speaker 1: to fight like hell for our patients. And that's what 1062 01:02:09,600 --> 01:02:13,160 Speaker 1: this is about, is we want to look after our patients. 1063 01:02:13,320 --> 01:02:16,200 Speaker 1: We want to make sure that they have every option 1064 01:02:16,240 --> 01:02:19,160 Speaker 1: available because we're going to be there with them no 1065 01:02:19,200 --> 01:02:21,760 Speaker 1: matter what. I want to thank you both of what 1066 01:02:21,800 --> 01:02:25,560 Speaker 1: you do. I mean, all these doctors, nurses, medical professionals. 1067 01:02:25,640 --> 01:02:28,920 Speaker 1: You know, every time somebody as a virus, they are 1068 01:02:28,960 --> 01:02:31,480 Speaker 1: in harm's way and they do it anyway. It's like 1069 01:02:31,520 --> 01:02:34,240 Speaker 1: they're calling thank you all for trying to save lives 1070 01:02:34,240 --> 01:02:36,960 Speaker 1: and being so committed to what you do every day. 1071 01:02:37,560 --> 01:02:40,320 Speaker 1: We appreciate it all. Eight hundred nine four one. Sean 1072 01:02:40,720 --> 01:02:44,040 Speaker 1: is our number. Stay right here for our final news 1073 01:02:44,120 --> 01:02:47,680 Speaker 1: round up and information overload. We will be extending our 1074 01:02:47,680 --> 01:02:52,920 Speaker 1: guidelines to April thirtieth to slow the spread. On Tuesday, 1075 01:02:53,000 --> 01:02:56,160 Speaker 1: we will be finalizing these plans and providing a summary 1076 01:02:56,160 --> 01:03:00,680 Speaker 1: of our finding, supporting data, and strategy to the American people. 1077 01:03:01,200 --> 01:03:04,320 Speaker 1: So we'll be having lots of meetings in between, but 1078 01:03:04,360 --> 01:03:07,560 Speaker 1: we'll be having a very important statement made on Tuesday, 1079 01:03:07,680 --> 01:03:13,560 Speaker 1: probably Tuesday evening, on all of the findings, all of 1080 01:03:13,600 --> 01:03:17,800 Speaker 1: the data, and the reasons we're doing things the way 1081 01:03:17,840 --> 01:03:21,000 Speaker 1: we're doing them. We can expect that by June first, 1082 01:03:21,040 --> 01:03:23,200 Speaker 1: we will be well on our way to recovery. We 1083 01:03:23,280 --> 01:03:27,480 Speaker 1: think by June a lot of great things will be happening. 1084 01:03:27,760 --> 01:03:30,919 Speaker 1: I want every citizen in our country to take heart 1085 01:03:30,960 --> 01:03:33,240 Speaker 1: and confidence in the fact that we have the best 1086 01:03:33,280 --> 01:03:36,320 Speaker 1: medical minds in the world tackling this disease. We have 1087 01:03:36,400 --> 01:03:39,840 Speaker 1: the best science, the best researchers, and the best talent anywhere, 1088 01:03:39,880 --> 01:03:43,720 Speaker 1: working night and day to protect your family and loved 1089 01:03:43,720 --> 01:03:48,320 Speaker 1: ones and to overcome this pandemic. And I've been asking 1090 01:03:48,360 --> 01:03:52,040 Speaker 1: that question to Tony and Deborah, and they've been talking 1091 01:03:52,080 --> 01:03:53,640 Speaker 1: to me about it for a long time. Other people 1092 01:03:53,680 --> 01:03:56,520 Speaker 1: have been asking that question, and I think we got 1093 01:03:56,560 --> 01:04:00,120 Speaker 1: our most accurate study today, or certainly most comprehends. So 1094 01:04:00,120 --> 01:04:02,720 Speaker 1: I think of the number two point two potentially two 1095 01:04:02,760 --> 01:04:05,320 Speaker 1: point two million people if we did nothing, if we 1096 01:04:05,360 --> 01:04:07,600 Speaker 1: didn't do the distancing, if we didn't do all of 1097 01:04:07,640 --> 01:04:10,200 Speaker 1: the things that we're doing. Now, when you hear those numbers, 1098 01:04:10,240 --> 01:04:13,680 Speaker 1: you start to realize that with kind of work we 1099 01:04:13,720 --> 01:04:18,760 Speaker 1: went through last week with the two point two trillion dollars, 1100 01:04:19,440 --> 01:04:22,240 Speaker 1: it no longer sounds like a lot, right, So you're 1101 01:04:22,280 --> 01:04:25,840 Speaker 1: talking about when I heard the number today, first time 1102 01:04:25,840 --> 01:04:27,920 Speaker 1: I've heard that number because I've been asking the same 1103 01:04:28,000 --> 01:04:31,080 Speaker 1: question that some people have been asking, I felt even 1104 01:04:31,120 --> 01:04:34,280 Speaker 1: better about what we did last week with the two 1105 01:04:34,320 --> 01:04:38,240 Speaker 1: point two trillion dollars, because you're talking about a potential 1106 01:04:38,240 --> 01:04:40,120 Speaker 1: of up to two point two million, and some people 1107 01:04:40,160 --> 01:04:41,720 Speaker 1: said it could even be higher than that. So you're 1108 01:04:41,720 --> 01:04:46,360 Speaker 1: talking about two point two million deaths two point two 1109 01:04:46,400 --> 01:04:50,920 Speaker 1: million people from this and so if we could hold 1110 01:04:50,960 --> 01:04:54,320 Speaker 1: that down, as we're saying, to one hundred thousand, it's 1111 01:04:54,360 --> 01:04:58,280 Speaker 1: a horrible number, maybe even less, but to one hundred thousand, 1112 01:04:58,320 --> 01:05:00,080 Speaker 1: So we have between one hundred and two hundre a 1113 01:05:00,200 --> 01:05:03,600 Speaker 1: thousand we all together have done a very good job. 1114 01:05:03,680 --> 01:05:07,920 Speaker 1: But two point two up to two point two million 1115 01:05:08,000 --> 01:05:11,320 Speaker 1: deaths and maybe even beyond that. I'm feeling very good 1116 01:05:11,320 --> 01:05:13,920 Speaker 1: about what we did last week. All right, clad you 1117 01:05:14,000 --> 01:05:17,240 Speaker 1: with US News Roundup and Information Overload our eight hundred 1118 01:05:17,280 --> 01:05:19,120 Speaker 1: and nine four one sean if you want to be 1119 01:05:19,120 --> 01:05:24,240 Speaker 1: a part of the program. Nobody anticipated which direction this 1120 01:05:24,280 --> 01:05:27,520 Speaker 1: thing would go. All the all the books that have 1121 01:05:27,640 --> 01:05:30,520 Speaker 1: ever been written as it relates to how we and 1122 01:05:30,600 --> 01:05:35,080 Speaker 1: the world deals with pandemics, it's all being rewritten. Why 1123 01:05:35,080 --> 01:05:38,840 Speaker 1: did the President extend it? Because he's listening to the doctors, 1124 01:05:38,840 --> 01:05:42,920 Speaker 1: the scientists, and it's hobby's put there, trying to do 1125 01:05:43,120 --> 01:05:46,120 Speaker 1: here save as many lives as possible in the short 1126 01:05:46,240 --> 01:05:53,760 Speaker 1: term and also prevent a possible rebound by getting back 1127 01:05:53,760 --> 01:05:56,880 Speaker 1: into normal life too early. That's my interpretation of it. 1128 01:05:57,400 --> 01:05:59,080 Speaker 1: You know, I've been saying over and over again. In 1129 01:05:59,120 --> 01:06:02,080 Speaker 1: the times like this, you see the best in people, 1130 01:06:02,280 --> 01:06:05,360 Speaker 1: you see the best in medicine, you see the best 1131 01:06:05,400 --> 01:06:08,720 Speaker 1: in humanity, and you see some of the worst. Unfortunately, 1132 01:06:10,280 --> 01:06:13,480 Speaker 1: one of the great things that's happening now tonight I 1133 01:06:13,600 --> 01:06:18,200 Speaker 1: will be this Navy ship arriving in New York Harbor 1134 01:06:18,480 --> 01:06:21,120 Speaker 1: earlier today. I'll be doing my show right right in 1135 01:06:21,160 --> 01:06:24,480 Speaker 1: front of that ship tonight, and it's just a it's 1136 01:06:24,520 --> 01:06:29,080 Speaker 1: a medical marvel. And then you've got three thousand bed 1137 01:06:29,160 --> 01:06:31,640 Speaker 1: hospital that is built in if you're not in New York, 1138 01:06:31,640 --> 01:06:35,040 Speaker 1: it's known as the Jacob Javits Center by the Army 1139 01:06:35,040 --> 01:06:39,200 Speaker 1: Corps of Engineers, fully equipped, ready to go up and running. 1140 01:06:39,440 --> 01:06:43,560 Speaker 1: You've got hospitals now being built in Suffolk County, New York, 1141 01:06:43,960 --> 01:06:47,800 Speaker 1: Nassau County in New York again, all by the Army 1142 01:06:47,800 --> 01:06:51,760 Speaker 1: Corps of Engineers, Westchester, New York, all in record time. 1143 01:06:51,800 --> 01:06:55,120 Speaker 1: I think they built the Javit Center Hospital in like 1144 01:06:55,280 --> 01:06:58,040 Speaker 1: four or five days. Amazing and you look at the 1145 01:06:58,040 --> 01:07:02,680 Speaker 1: images and you're like, wow, it's just nothing remarkable and impressive, etc. Etc. 1146 01:07:03,040 --> 01:07:07,400 Speaker 1: But it's it's incredible now. Franklin Graham has been a 1147 01:07:07,440 --> 01:07:10,800 Speaker 1: friend of this program for many, many, many years. Why 1148 01:07:10,840 --> 01:07:13,480 Speaker 1: he associates with us is I don't know. I mean, 1149 01:07:13,760 --> 01:07:17,440 Speaker 1: he's really this is charitable God's work. But they do 1150 01:07:17,480 --> 01:07:21,760 Speaker 1: amazing work. We have Franklin on every year Operation Christmas Box, 1151 01:07:22,760 --> 01:07:26,480 Speaker 1: where people you know, fill these the shoe boxes or 1152 01:07:26,480 --> 01:07:30,400 Speaker 1: whatever with with toys and necessities for kids and the 1153 01:07:30,440 --> 01:07:33,400 Speaker 1: poorest of countries, and they deliver millions and millions of 1154 01:07:33,480 --> 01:07:38,160 Speaker 1: millions around every year. And they also when when recently 1155 01:07:38,200 --> 01:07:42,439 Speaker 1: the tornadoes hit in Nashville, outside of Nashville, in less 1156 01:07:42,440 --> 01:07:46,360 Speaker 1: than twelve hours, Samaritan's Purse was on the ground helping families, 1157 01:07:46,400 --> 01:07:50,280 Speaker 1: helping people, providing goods and services. They have truckloads infrastructure, 1158 01:07:50,560 --> 01:07:54,000 Speaker 1: and they now are building a hospital, another hospital, this 1159 01:07:54,040 --> 01:07:56,880 Speaker 1: one in Central Park in New York. And Franklin Graham 1160 01:07:56,960 --> 01:08:00,280 Speaker 1: is with us, he heads up Samaritan's Purse. I can't 1161 01:08:00,280 --> 01:08:03,480 Speaker 1: believe how quickly you guys are just able to mobilize. 1162 01:08:04,280 --> 01:08:07,080 Speaker 1: Thanks for being back with us, and thanks for what 1163 01:08:07,120 --> 01:08:09,560 Speaker 1: you're doing for the people in New York, and thanks 1164 01:08:09,560 --> 01:08:11,320 Speaker 1: for what you did in Nashville. Thanks for what you 1165 01:08:11,360 --> 01:08:13,920 Speaker 1: set up a hospital in Italy as well. Well. Sean, 1166 01:08:14,400 --> 01:08:17,360 Speaker 1: We're living in very difficult days and the world has 1167 01:08:17,439 --> 01:08:22,880 Speaker 1: changed so much just in the last two weeks for 1168 01:08:23,680 --> 01:08:26,760 Speaker 1: millions and millions of people around the world, and I 1169 01:08:26,800 --> 01:08:29,679 Speaker 1: think it's important, Sean, that we respond. We were asked 1170 01:08:29,760 --> 01:08:32,400 Speaker 1: last week if we would consider coming to New York, 1171 01:08:32,439 --> 01:08:37,200 Speaker 1: and we didn't even hesitate or we said yes. And Sean, 1172 01:08:37,320 --> 01:08:40,440 Speaker 1: we've got it's one hundred and sixty eight bit respiratory 1173 01:08:40,479 --> 01:08:44,600 Speaker 1: care unit. It's right across from the Mount Sinai Hospital 1174 01:08:45,040 --> 01:08:48,120 Speaker 1: on Fifth Avenue. We're in the park. We're working with 1175 01:08:48,240 --> 01:08:51,479 Speaker 1: Mount mount Sinai. They been excellent people to work with. 1176 01:08:52,600 --> 01:08:56,960 Speaker 1: But we're going to be taking whatever people come to 1177 01:08:57,040 --> 01:08:59,040 Speaker 1: our doors, and they will go come to Mount Sinai. 1178 01:08:59,160 --> 01:09:02,479 Speaker 1: They will help do the triage. But one thing different 1179 01:09:02,520 --> 01:09:06,000 Speaker 1: about Sean our approach than maybe others. Every person that 1180 01:09:06,040 --> 01:09:09,240 Speaker 1: comes into our hospital, we pray for them. Our doctors 1181 01:09:09,280 --> 01:09:12,200 Speaker 1: pray for him, our nurses pray for them. And we've 1182 01:09:12,200 --> 01:09:14,920 Speaker 1: got doctors and nurses that come from across the country. 1183 01:09:15,000 --> 01:09:17,519 Speaker 1: They drop what they do to come help us. And 1184 01:09:17,800 --> 01:09:20,920 Speaker 1: we've just got the best of the best of Christian 1185 01:09:21,000 --> 01:09:25,160 Speaker 1: men and women. We've got chaplains who come and they 1186 01:09:25,200 --> 01:09:28,320 Speaker 1: will be praying Sean. There was maybe you read this yourself, 1187 01:09:29,360 --> 01:09:32,439 Speaker 1: a lady who is distraught because her husband died in 1188 01:09:32,479 --> 01:09:34,360 Speaker 1: a hospital there in New York and she couldn't be 1189 01:09:34,400 --> 01:09:37,640 Speaker 1: with him, and she felt that she had abandoned him 1190 01:09:37,640 --> 01:09:40,960 Speaker 1: and that he had died all alone. And I can 1191 01:09:41,000 --> 01:09:43,400 Speaker 1: just tell you that if anyone does pass away in 1192 01:09:43,479 --> 01:09:47,000 Speaker 1: our hospital, they won't die alone. Our doctors and nurses 1193 01:09:47,040 --> 01:09:49,080 Speaker 1: will be around them, will be praying for them and 1194 01:09:49,160 --> 01:09:52,599 Speaker 1: loving them. But my prayers every person who comes will 1195 01:09:52,640 --> 01:09:57,240 Speaker 1: walk out And that's our goal. And we're just honored 1196 01:09:57,280 --> 01:10:00,000 Speaker 1: and that we can come to New York to help 1197 01:10:00,040 --> 01:10:02,640 Speaker 1: the great people of that city and that state. You know, 1198 01:10:02,840 --> 01:10:06,479 Speaker 1: there's there's a lot of things happening here simultaneously. One 1199 01:10:06,720 --> 01:10:11,720 Speaker 1: as I said, you see goodness inherent goodness, greatness, greatness 1200 01:10:11,760 --> 01:10:14,719 Speaker 1: in people, and that's what your organization is all about. 1201 01:10:15,040 --> 01:10:17,840 Speaker 1: How did you build up this infrastructure? When I heard 1202 01:10:17,880 --> 01:10:21,640 Speaker 1: you were on the ground in twelve hours in Nashville, 1203 01:10:21,800 --> 01:10:24,160 Speaker 1: I would actually talk to a mutual friend of ours, 1204 01:10:24,520 --> 01:10:26,880 Speaker 1: Michael W. Smith, and he said, you guys were there, 1205 01:10:27,520 --> 01:10:30,920 Speaker 1: you know, within hours, and you come in with truckloads. 1206 01:10:30,960 --> 01:10:34,439 Speaker 1: You built this infrastructure and wherever there is a need, 1207 01:10:34,640 --> 01:10:37,640 Speaker 1: you you guys are there. It's like it's and in 1208 01:10:37,760 --> 01:10:39,760 Speaker 1: the Red Cross, to their credit, they have they have 1209 01:10:39,800 --> 01:10:42,519 Speaker 1: good infrastructure as well. But how were you able to 1210 01:10:42,560 --> 01:10:45,400 Speaker 1: build all of this infrastructure and get food and water 1211 01:10:45,439 --> 01:10:48,120 Speaker 1: and medicine and supplies and tents and cots and blankets 1212 01:10:48,120 --> 01:10:51,240 Speaker 1: and you it's like you must have these tractor trailers 1213 01:10:51,240 --> 01:10:55,439 Speaker 1: are ready to go all the time, but when people 1214 01:10:55,439 --> 01:10:58,759 Speaker 1: are in need, when there's a crisis, they need help now. 1215 01:10:58,800 --> 01:11:01,439 Speaker 1: They don't need it, may be tomorrow, they need it today. 1216 01:11:01,880 --> 01:11:06,640 Speaker 1: And so our mentality is when the storm hits, go 1217 01:11:07,800 --> 01:11:10,040 Speaker 1: and be on the road, and so that by the 1218 01:11:10,040 --> 01:11:13,880 Speaker 1: time the storm passed as you can be there. With 1219 01:11:14,080 --> 01:11:17,320 Speaker 1: New York with this Corona crisis, we're always trying to 1220 01:11:17,400 --> 01:11:22,160 Speaker 1: keep two hospitals in stock. And we used one earlier 1221 01:11:22,160 --> 01:11:24,840 Speaker 1: this year down the Bahamas, and we replaced it and 1222 01:11:24,880 --> 01:11:27,720 Speaker 1: we had two and we sent one to Italy, and 1223 01:11:27,760 --> 01:11:29,559 Speaker 1: then now they need one of New York. So we're 1224 01:11:29,800 --> 01:11:33,559 Speaker 1: out of hospitals. We're desperately ordering a couple of more, 1225 01:11:33,640 --> 01:11:38,679 Speaker 1: but we're kind of about our capacity. Can I ask 1226 01:11:38,720 --> 01:11:41,639 Speaker 1: a question, It may sound stupid, how do you order 1227 01:11:41,680 --> 01:11:44,959 Speaker 1: a hospital? I mean, I mean it's such a massive undertaking. 1228 01:11:45,320 --> 01:11:47,479 Speaker 1: Like when I saw the three thousand bed set up 1229 01:11:47,479 --> 01:11:49,720 Speaker 1: at the Javit Center, I was shocked. And that was 1230 01:11:49,760 --> 01:11:52,320 Speaker 1: our Army Corps of engineers. When I look at that 1231 01:11:52,479 --> 01:11:54,799 Speaker 1: ship and I'm going to be up close and personal 1232 01:11:54,880 --> 01:11:57,760 Speaker 1: tonight with it, and I'm like blown away, And then 1233 01:11:57,800 --> 01:12:00,840 Speaker 1: the other hospitals all going up. It is and it's 1234 01:12:00,840 --> 01:12:04,479 Speaker 1: all in record time and Sean. But but here's something 1235 01:12:04,520 --> 01:12:07,680 Speaker 1: we have to think about. Who's going to man those hospitals. 1236 01:12:07,880 --> 01:12:10,920 Speaker 1: You've got to have doctors and nurses, And then the 1237 01:12:11,000 --> 01:12:14,200 Speaker 1: medical community in New York is stretched. The doctors and 1238 01:12:14,280 --> 01:12:17,120 Speaker 1: nurses that are in the in the hospitals they're right 1239 01:12:17,160 --> 01:12:21,439 Speaker 1: now are stretched, and they they need our help. They 1240 01:12:21,479 --> 01:12:25,519 Speaker 1: need our prayers just to sustain what they have to do. 1241 01:12:25,880 --> 01:12:28,040 Speaker 1: And so I'm not sure what the government's plan is 1242 01:12:28,360 --> 01:12:31,839 Speaker 1: to fill these other hospitals with the with the doctors 1243 01:12:31,840 --> 01:12:35,320 Speaker 1: and nurses that they've got to have, But I know 1244 01:12:35,439 --> 01:12:38,080 Speaker 1: that what we have up there, we have it fully staffed. 1245 01:12:38,439 --> 01:12:42,120 Speaker 1: We've got right now ninety six people on the ground 1246 01:12:42,200 --> 01:12:45,559 Speaker 1: for this this hospital, and we will have staff that 1247 01:12:45,600 --> 01:12:49,559 Speaker 1: will rotate every few weeks to give them to get 1248 01:12:49,600 --> 01:12:52,200 Speaker 1: them out, to put a new team in. Uh. But 1249 01:12:52,360 --> 01:12:55,200 Speaker 1: our staff is coming from around the country. We also 1250 01:12:55,320 --> 01:12:59,800 Speaker 1: have Sean the hospital in Italy, and we're having to 1251 01:12:59,840 --> 01:13:03,680 Speaker 1: staff that and send doctors and nurses over there and 1252 01:13:03,800 --> 01:13:06,479 Speaker 1: rad rotates them in and out. This is this is 1253 01:13:06,479 --> 01:13:08,640 Speaker 1: going to get worse, Shawn, before it gets better. And 1254 01:13:08,840 --> 01:13:11,640 Speaker 1: their only hope for this is God. We need we 1255 01:13:11,720 --> 01:13:14,839 Speaker 1: need to get people to pray, to pray for our president, 1256 01:13:14,880 --> 01:13:16,960 Speaker 1: to pray for our country, to pray for this world 1257 01:13:17,000 --> 01:13:20,920 Speaker 1: which we're living, because we need God's help. Amen to that. 1258 01:13:21,080 --> 01:13:23,720 Speaker 1: I don't think anybody can deny that. You know. It's 1259 01:13:23,800 --> 01:13:27,320 Speaker 1: interesting that one of the things that I when I 1260 01:13:27,880 --> 01:13:30,519 Speaker 1: go out, I went shopping this weekend, I try to 1261 01:13:30,560 --> 01:13:33,519 Speaker 1: stop by my favorite restaurants to just buy stuff, even 1262 01:13:33,520 --> 01:13:35,240 Speaker 1: if I don't really need a lot more food. I'm 1263 01:13:35,240 --> 01:13:37,880 Speaker 1: going to get fat again, um, But I just want 1264 01:13:37,920 --> 01:13:41,280 Speaker 1: to support their businesses while they're you know, struggling. They're 1265 01:13:41,320 --> 01:13:44,600 Speaker 1: all struggling now, but that's offering takeout and so on 1266 01:13:44,680 --> 01:13:48,200 Speaker 1: and so forth and anyway, and you talk to people, 1267 01:13:48,240 --> 01:13:51,759 Speaker 1: and I just there is a fear, a real panic 1268 01:13:51,840 --> 01:13:55,200 Speaker 1: in some cases that is gripping the minds and hearts 1269 01:13:55,200 --> 01:13:58,880 Speaker 1: of people. I try in my own life, and again 1270 01:13:59,000 --> 01:14:01,720 Speaker 1: I'm not saying I have any better qualities than anybody else. 1271 01:14:01,960 --> 01:14:04,160 Speaker 1: I try in my own life not to be fearful. 1272 01:14:04,400 --> 01:14:08,560 Speaker 1: And because I think you can't get your best answers 1273 01:14:08,840 --> 01:14:11,400 Speaker 1: if you're in that state. And I like to think 1274 01:14:11,400 --> 01:14:15,160 Speaker 1: through things very strategically, and you know, you have to 1275 01:14:15,200 --> 01:14:17,519 Speaker 1: accept that this life is going to throw you, you know, 1276 01:14:17,960 --> 01:14:22,040 Speaker 1: hard and high and tight fastballs. And for you it's 1277 01:14:22,040 --> 01:14:24,120 Speaker 1: your faith though I mean, and and for me to 1278 01:14:24,160 --> 01:14:26,680 Speaker 1: a certain extent, I'm just not, you know, anywhere near 1279 01:14:26,720 --> 01:14:28,960 Speaker 1: as good as you. But I mean the the honest 1280 01:14:28,960 --> 01:14:31,920 Speaker 1: answer is, I think all of us, regardless of what 1281 01:14:32,000 --> 01:14:35,400 Speaker 1: your particular faith might be. You know, I can't look 1282 01:14:35,439 --> 01:14:39,080 Speaker 1: at this universe within universes within universes and not realize, Yeah, 1283 01:14:39,080 --> 01:14:41,840 Speaker 1: God created that. I just don't have the capacity to 1284 01:14:41,880 --> 01:14:47,120 Speaker 1: fully understand them. Sean of your rights. I've never seen 1285 01:14:47,240 --> 01:14:51,439 Speaker 1: people hard grip with fear like I've seen today, and 1286 01:14:51,720 --> 01:14:55,400 Speaker 1: the people are afraid. And I want people to know 1287 01:14:55,520 --> 01:14:59,840 Speaker 1: that as a Christian um, I believe that my life 1288 01:15:00,080 --> 01:15:03,640 Speaker 1: in God's hands. If God doesn't promise to keep us 1289 01:15:03,680 --> 01:15:06,040 Speaker 1: out of the storms, that he promises it to be 1290 01:15:06,120 --> 01:15:08,400 Speaker 1: with us in the storm and to go through the 1291 01:15:08,439 --> 01:15:11,360 Speaker 1: storm with us. Jesus said, I'll never leave you nor 1292 01:15:11,400 --> 01:15:15,000 Speaker 1: forsake you. And I know that whatever happens to me 1293 01:15:15,040 --> 01:15:18,840 Speaker 1: in life, that God is with me. I'm not a 1294 01:15:18,880 --> 01:15:21,720 Speaker 1: good guy. I'm a sinner, but I've been forgiven And 1295 01:15:21,800 --> 01:15:23,960 Speaker 1: because I was twenty two years old when I got 1296 01:15:23,960 --> 01:15:26,000 Speaker 1: on my knees one night, and I confess my sins 1297 01:15:26,040 --> 01:15:27,720 Speaker 1: to God. I ask no, I think I can give 1298 01:15:27,800 --> 01:15:30,639 Speaker 1: more details. Here's the son of the Great Billy Graham. 1299 01:15:30,760 --> 01:15:33,240 Speaker 1: And you are incorrigible like I was, So you know 1300 01:15:33,360 --> 01:15:36,040 Speaker 1: there's hope for me. Well, there's there's hope for all 1301 01:15:36,080 --> 01:15:38,519 Speaker 1: of us that if we will repent and turn from 1302 01:15:38,560 --> 01:15:40,640 Speaker 1: our sins and by faith believe on the name of 1303 01:15:40,760 --> 01:15:43,479 Speaker 1: Jesus Christ, God's son, God will forgive our sins. And 1304 01:15:44,160 --> 01:15:46,840 Speaker 1: here's the great thing, Sean, I know that my life 1305 01:15:46,840 --> 01:15:49,080 Speaker 1: will come to an end one day. It could be 1306 01:15:49,120 --> 01:15:51,599 Speaker 1: with this coronavirus, it could be with a car accident 1307 01:15:51,720 --> 01:15:54,439 Speaker 1: or cancer. But whenever that day comes, I'll be in 1308 01:15:54,479 --> 01:15:57,000 Speaker 1: the presence of God. Not because I'm a good guy, 1309 01:15:57,080 --> 01:16:00,200 Speaker 1: but because I've been forgiven. And everyone who's listening right 1310 01:16:00,240 --> 01:16:04,639 Speaker 1: now they can experience God's forgiveness by accepting Christ into 1311 01:16:04,720 --> 01:16:06,640 Speaker 1: their hearts by faith like I did when I was 1312 01:16:06,680 --> 01:16:09,240 Speaker 1: twenty two years of age. And you turned out pretty well, 1313 01:16:09,240 --> 01:16:11,840 Speaker 1: and I know your dad was proud of you. Franklin Graham. 1314 01:16:11,880 --> 01:16:13,639 Speaker 1: By the way, we're gonna put up on hannity dot 1315 01:16:13,640 --> 01:16:18,960 Speaker 1: Com a link to Samaritan's purse if you're so inclined. Um, 1316 01:16:19,160 --> 01:16:21,360 Speaker 1: it's a charity I've donated to in the past that 1317 01:16:21,400 --> 01:16:24,960 Speaker 1: I will again on this case. Franklin Graham, you're a 1318 01:16:24,960 --> 01:16:27,680 Speaker 1: good man. Thank you for what you're doing, and we 1319 01:16:27,720 --> 01:16:30,720 Speaker 1: wish you godspeed and continue great work. Thank you, Thank you, 1320 01:16:30,800 --> 01:16:34,639 Speaker 1: Sean God bless Let's say hi to Rick North Carolina. 1321 01:16:34,720 --> 01:16:37,200 Speaker 1: Rick High, how are you? You've got the last minute 1322 01:16:37,240 --> 01:16:41,360 Speaker 1: twenty on this half hour? What's up, sir? I'm privileged. Hey, 1323 01:16:41,520 --> 01:16:44,519 Speaker 1: I just a couple of quick points here. Can you 1324 01:16:44,560 --> 01:16:48,760 Speaker 1: imagine having Nancy Pelosi in a higher position of leadership? 1325 01:16:49,680 --> 01:16:52,400 Speaker 1: The part that she just put in this thing? I 1326 01:16:52,680 --> 01:16:56,200 Speaker 1: can't even imagine if she was president. The hate that 1327 01:16:56,400 --> 01:17:00,440 Speaker 1: she has for President Trump has driven this woman insane. 1328 01:17:01,280 --> 01:17:04,040 Speaker 1: And I just can't even imagine if we had that 1329 01:17:04,120 --> 01:17:06,960 Speaker 1: leadership in place. And I just my concern is, what 1330 01:17:07,040 --> 01:17:11,479 Speaker 1: do we do if these these lips get their way? Well, 1331 01:17:11,479 --> 01:17:13,200 Speaker 1: how do you pull that back? How do you pull 1332 01:17:13,240 --> 01:17:14,840 Speaker 1: any of this back? Because there's a lot of government 1333 01:17:14,880 --> 01:17:16,960 Speaker 1: control right now, which is understandable, but how do you 1334 01:17:16,960 --> 01:17:18,600 Speaker 1: you know, you know what I'm saying, Listen, that's what 1335 01:17:18,680 --> 01:17:21,360 Speaker 1: the elections about in two hundred and eighteen days. I mean, 1336 01:17:21,600 --> 01:17:25,320 Speaker 1: you know it's look I was saying before Corona, and 1337 01:17:25,360 --> 01:17:28,439 Speaker 1: I said it regularly. If Donald Trump cured cancer and 1338 01:17:28,439 --> 01:17:30,840 Speaker 1: gave every American you know, five million dollars, they want 1339 01:17:30,840 --> 01:17:34,519 Speaker 1: to impeach him for that. And there's a certain there's 1340 01:17:34,640 --> 01:17:37,959 Speaker 1: nothing we can ever do that is going to convince 1341 01:17:38,040 --> 01:17:42,160 Speaker 1: those people that have to have staked out a position 1342 01:17:42,280 --> 01:17:46,840 Speaker 1: that is now based in deep psychosis of hatred. And 1343 01:17:47,040 --> 01:17:48,720 Speaker 1: again you're going to see the best and people the 1344 01:17:48,720 --> 01:17:51,040 Speaker 1: worst in people. The fact that they let people that 1345 01:17:51,080 --> 01:17:53,960 Speaker 1: were in need wait another full week is they parked 1346 01:17:54,040 --> 01:17:56,320 Speaker 1: up that bill. And by the way, thanks to you 1347 01:17:56,400 --> 01:17:59,720 Speaker 1: in this audience, whatever got taken out and it was significant, 1348 01:17:59,800 --> 01:18:02,360 Speaker 1: was because of all of your calls. It's it is 1349 01:18:02,439 --> 01:18:05,920 Speaker 1: beyond repulsive to me, but yet predictable, and it's not 1350 01:18:05,960 --> 01:18:08,160 Speaker 1: going to change. And the only way to prevent what 1351 01:18:08,200 --> 01:18:11,840 Speaker 1: you're saying is do something about it. You're the ultimate jury. 1352 01:18:11,880 --> 01:18:14,639 Speaker 1: In two and eighteen days, quick break, we'll come back, 1353 01:18:14,680 --> 01:18:16,599 Speaker 1: wide open phones, We'll take a lot of calls. Final 1354 01:18:16,640 --> 01:18:19,559 Speaker 1: half hour of the program, Hannity tonight, we will be 1355 01:18:20,120 --> 01:18:23,720 Speaker 1: at right in front of the Navy Hospital ship in 1356 01:18:23,800 --> 01:18:27,160 Speaker 1: New York nine eastern all right, twenty five now until 1357 01:18:27,200 --> 01:18:30,280 Speaker 1: the top of the hour. Best of times Worstan times 1358 01:18:30,360 --> 01:18:33,840 Speaker 1: best than people, worst out of people. Let's go to 1359 01:18:33,920 --> 01:18:41,600 Speaker 1: our medium mob. Oh, so the USS Comfort thousand bed 1360 01:18:41,960 --> 01:18:43,880 Speaker 1: what is it? Third is I think it's twelve to 1361 01:18:43,920 --> 01:18:47,320 Speaker 1: fourteen operating rooms on this ship. I think it's twelve 1362 01:18:47,360 --> 01:18:51,400 Speaker 1: to fourteen operating rooms on this ship. Can you imagine? Now, 1363 01:18:51,400 --> 01:18:53,640 Speaker 1: We're going to show you the exclusive video tonight of 1364 01:18:53,680 --> 01:18:56,439 Speaker 1: that and the Javit Center, because that's why I'll be 1365 01:18:56,439 --> 01:19:00,760 Speaker 1: broadcasting from. And it's just an amazing time estimate to 1366 01:19:01,360 --> 01:19:04,679 Speaker 1: the ability of a nation to rally around a hope 1367 01:19:04,680 --> 01:19:09,000 Speaker 1: and a challenge that nobody really saw coming to this extent. 1368 01:19:09,439 --> 01:19:13,599 Speaker 1: And then there are those that will politicize anything in 1369 01:19:13,760 --> 01:19:19,040 Speaker 1: everything you got. Let's head over to conspiracy TV Roswell 1370 01:19:19,120 --> 01:19:24,360 Speaker 1: Rachel Manou's channel ms DNC, basically state run television all 1371 01:19:24,400 --> 01:19:29,479 Speaker 1: things radical democratic, socialist nonsense. That hospital ship will be 1372 01:19:29,680 --> 01:19:33,120 Speaker 1: in New York soon. Let's listen. In terms of the 1373 01:19:33,160 --> 01:19:35,479 Speaker 1: happy talk we've had on this front from the federal government, 1374 01:19:35,479 --> 01:19:38,160 Speaker 1: there is no sign that the Navy hospital ships that 1375 01:19:38,160 --> 01:19:40,360 Speaker 1: the President made such a big deal of the comfort 1376 01:19:40,400 --> 01:19:43,439 Speaker 1: and the mercy, there's no sign that there'll be anywhere 1377 01:19:43,479 --> 01:19:46,639 Speaker 1: on site helping out anywhere in the country for weeks yet, 1378 01:19:47,040 --> 01:19:50,040 Speaker 1: the president said, But he announced that those ships would 1379 01:19:50,040 --> 01:19:53,080 Speaker 1: be put into action against the COVID nineteen epidemic. He 1380 01:19:53,120 --> 01:19:55,240 Speaker 1: said one of those ships would be operational in New 1381 01:19:55,280 --> 01:19:58,280 Speaker 1: York Harbor by next week. That's nonsense. It will not 1382 01:19:58,320 --> 01:20:01,720 Speaker 1: be there next week. Nonsense. Now it's there now. I'm 1383 01:20:01,760 --> 01:20:04,439 Speaker 1: sure there'll be a correction over there at ms DNC, 1384 01:20:04,640 --> 01:20:08,200 Speaker 1: the conspiracy theory channel. Let's stay there, joy read warning 1385 01:20:08,240 --> 01:20:13,519 Speaker 1: a Donald Trump might use the coronavirus to reign as 1386 01:20:13,560 --> 01:20:16,920 Speaker 1: a monarch. This is how twisted and sickness all gets. 1387 01:20:17,240 --> 01:20:19,800 Speaker 1: Of course, it's hardly news that Trump has always had 1388 01:20:19,840 --> 01:20:23,639 Speaker 1: designs on reigning as a monarch with unlimited power, rather 1389 01:20:23,680 --> 01:20:26,640 Speaker 1: than serving as a mere president in a democracy. But 1390 01:20:26,760 --> 01:20:30,559 Speaker 1: with the country facing an unprecedented public health crisis, what 1391 01:20:30,680 --> 01:20:34,120 Speaker 1: lengths might he backed by an attorney general whose writings 1392 01:20:34,120 --> 01:20:36,960 Speaker 1: and actions point to a fundamental belief in an all 1393 01:20:37,080 --> 01:20:39,800 Speaker 1: powerful presidency, at least when the would be king is 1394 01:20:39,840 --> 01:20:43,840 Speaker 1: a Republican. What lengths might Trump go to to expand 1395 01:20:43,960 --> 01:20:47,840 Speaker 1: his power under the guise of national security. Let's scare 1396 01:20:47,880 --> 01:20:50,679 Speaker 1: the living hell out of everybody, and then you got 1397 01:20:50,880 --> 01:20:55,320 Speaker 1: Chucky Todd. Oh yeah, giving a softball interview to quid 1398 01:20:55,320 --> 01:20:58,680 Speaker 1: pro quote Joe. Now, you gotta remember Joe Biden as 1399 01:20:58,720 --> 01:21:01,439 Speaker 1: a history with a pandemic. It's called H one N one, 1400 01:21:01,880 --> 01:21:04,160 Speaker 1: And we've learned a lot, like, for example, they didn't 1401 01:21:04,200 --> 01:21:08,679 Speaker 1: replenish all of the stockpiles of masks and other things 1402 01:21:08,720 --> 01:21:11,320 Speaker 1: when that was all over, when they could have and 1403 01:21:11,720 --> 01:21:14,080 Speaker 1: you know, just like Andrew Cuomo could have purchased at 1404 01:21:14,080 --> 01:21:17,000 Speaker 1: a pretty low price all the ventilators he seems to 1405 01:21:17,040 --> 01:21:19,200 Speaker 1: always want to have, And though he admits they're in 1406 01:21:19,240 --> 01:21:21,640 Speaker 1: a warehouse and he's not using the four thousand that 1407 01:21:22,320 --> 01:21:24,920 Speaker 1: the Trump administration already sent them. And by the way, 1408 01:21:24,920 --> 01:21:28,599 Speaker 1: they're making more. I mean, the President went forward with 1409 01:21:28,720 --> 01:21:33,600 Speaker 1: the Defense Procurement Act, and so now GM is stepping up, 1410 01:21:33,640 --> 01:21:36,240 Speaker 1: all these companies are stepping up. Everyone's doing all hands 1411 01:21:36,240 --> 01:21:40,120 Speaker 1: on deck. And but is there blood on Donald Trump's hands? 1412 01:21:40,240 --> 01:21:43,599 Speaker 1: I wonder, now if you think about this, I wonder 1413 01:21:43,760 --> 01:21:50,240 Speaker 1: if they'd ever consider that Trump's xenophobic hysteria and fear 1414 01:21:50,320 --> 01:21:53,800 Speaker 1: mongering ten days after the first known case in the 1415 01:21:53,920 --> 01:21:57,200 Speaker 1: US putting that travel band and quarantine an effect. I 1416 01:21:57,280 --> 01:22:00,200 Speaker 1: wonder if it would be one intellectually honest person than 1417 01:22:00,240 --> 01:22:04,439 Speaker 1: the mob that would say, wow, I disagree with Trump, 1418 01:22:04,479 --> 01:22:07,920 Speaker 1: but that was a good call because countless how many 1419 01:22:08,200 --> 01:22:13,479 Speaker 1: thousands of Americans could have likely would have contracted the 1420 01:22:13,560 --> 01:22:18,519 Speaker 1: virus and incalculable how many exponentially, if you're looking at 1421 01:22:18,680 --> 01:22:21,720 Speaker 1: death rates, may have died. How many lives could have 1422 01:22:21,760 --> 01:22:25,280 Speaker 1: been saved? Do they say one good thing about that? Ever? No, 1423 01:22:25,520 --> 01:22:28,320 Speaker 1: the mob in the media, this is all NBC news. 1424 01:22:28,400 --> 01:22:33,520 Speaker 1: This is not news. This is all state run democratic, 1425 01:22:33,600 --> 01:22:37,960 Speaker 1: radical socialist hate Trump TV. Here's here's Chucky. And we 1426 01:22:38,040 --> 01:22:39,920 Speaker 1: have to be ahead of the curve, not behind the 1427 01:22:39,960 --> 01:22:42,519 Speaker 1: curve like we were last time. You know, your campaign 1428 01:22:42,560 --> 01:22:45,240 Speaker 1: put out you're in a critique of President Trump and 1429 01:22:45,240 --> 01:22:47,400 Speaker 1: says if he doesn't do these things, you know he could, 1430 01:22:47,560 --> 01:22:50,559 Speaker 1: he could cost lives. Do you think there's already Do 1431 01:22:50,560 --> 01:22:53,000 Speaker 1: you think there is blood on the President's hands considering 1432 01:22:53,000 --> 01:22:56,160 Speaker 1: the slow response, or is that too harsh of a criticism. 1433 01:22:56,400 --> 01:22:59,719 Speaker 1: I think that's a little too harsh. Sixty point eight 1434 01:23:00,120 --> 01:23:04,719 Speaker 1: million Americans in two thousand and nine and two thousand 1435 01:23:04,760 --> 01:23:08,160 Speaker 1: and ten, when quid pro quo Joe was the Vice 1436 01:23:08,200 --> 01:23:13,280 Speaker 1: president of the United States, contracted the swine flew that pandemic. 1437 01:23:13,880 --> 01:23:17,200 Speaker 1: They waited until a thousand Americans were dead before Obama 1438 01:23:17,320 --> 01:23:22,200 Speaker 1: himself went out and said, yeah, it's a national emergency. 1439 01:23:22,200 --> 01:23:24,360 Speaker 1: And who was praised for it. It was Health and 1440 01:23:24,439 --> 01:23:27,080 Speaker 1: Human Services secretary did call it an emergency to get 1441 01:23:27,120 --> 01:23:30,360 Speaker 1: some funding. Credit there, I'm trying to be fair, but 1442 01:23:30,400 --> 01:23:33,880 Speaker 1: they didn't. It wasn't the death count. There wasn't the 1443 01:23:33,920 --> 01:23:37,839 Speaker 1: confirmed cases count. Also, what's missing is I would actually 1444 01:23:38,439 --> 01:23:41,559 Speaker 1: like to see the recovery count at some point. Now, 1445 01:23:42,520 --> 01:23:44,280 Speaker 1: you know, I look at all of this, It's like 1446 01:23:44,280 --> 01:23:46,280 Speaker 1: what I said earlier. I'm watching and I'm watching, and 1447 01:23:46,280 --> 01:23:48,080 Speaker 1: I'm watching it. I'm just like, I sit there in 1448 01:23:48,080 --> 01:23:52,080 Speaker 1: a state of shock. It doesn't matter what Donald Trump 1449 01:23:52,080 --> 01:23:55,880 Speaker 1: will ever do. They are never going to say good job. 1450 01:23:55,960 --> 01:24:01,240 Speaker 1: He's rewritten the rules on how future pandemics will be 1451 01:24:01,320 --> 01:24:07,839 Speaker 1: dealt with. Bands will be immediate quarantine, standard testing first 1452 01:24:07,920 --> 01:24:12,280 Speaker 1: drive up, then home testing, then five minute testing. Standard, 1453 01:24:12,760 --> 01:24:19,320 Speaker 1: Public private partnerships will be standard Defense Production Act Standard FDA. 1454 01:24:19,439 --> 01:24:22,320 Speaker 1: You know, getting rid of draconian rules. When you see 1455 01:24:22,360 --> 01:24:26,320 Speaker 1: that Novartists, their CEO is saying, I droxy chloroquinn is 1456 01:24:26,400 --> 01:24:32,000 Speaker 1: quote our biggest hope to save lives and others. That's 1457 01:24:32,120 --> 01:24:34,320 Speaker 1: that's all going to change as a result of this. 1458 01:24:34,400 --> 01:24:37,599 Speaker 1: But they're doing it on the fly because nobody else 1459 01:24:37,640 --> 01:24:40,599 Speaker 1: did it, nobody else showed this urgency. All right, let's 1460 01:24:40,600 --> 01:24:43,640 Speaker 1: get to our phones. Let's say hi to Mike and Ohio. Mike, Hi, 1461 01:24:43,760 --> 01:24:46,160 Speaker 1: how are you glad you called? Sir? Hey, Sean, how 1462 01:24:46,200 --> 01:24:49,479 Speaker 1: are you? I'm good? What's going on? Okay? Well, you know, 1463 01:24:49,600 --> 01:24:52,120 Speaker 1: let's not forget that there's an election gonna still gonna 1464 01:24:52,160 --> 01:24:55,200 Speaker 1: happen in November. And what I hear, I'll make this 1465 01:24:55,240 --> 01:24:58,240 Speaker 1: short out here in the in the usted plorbles and 1466 01:24:58,320 --> 01:25:00,680 Speaker 1: everybody else. We know that MP is going to be 1467 01:25:00,680 --> 01:25:03,840 Speaker 1: elected for sure at this point. And I know you'll say, well, 1468 01:25:04,200 --> 01:25:05,640 Speaker 1: don't ever say that. I mean, we're gonna have to 1469 01:25:05,720 --> 01:25:07,479 Speaker 1: fight all the way through. But it's a done deal. 1470 01:25:07,520 --> 01:25:11,240 Speaker 1: And here's why we here in America throughout history have 1471 01:25:11,400 --> 01:25:15,360 Speaker 1: not changed horses midstream when there's a real genuine crisis. 1472 01:25:15,520 --> 01:25:17,800 Speaker 1: And they fan the flames now to the point where 1473 01:25:17,800 --> 01:25:20,000 Speaker 1: whether there is a huge crisis or there isn't and 1474 01:25:20,120 --> 01:25:22,519 Speaker 1: I think there is sythmetically, let's face it, we're not 1475 01:25:22,520 --> 01:25:25,960 Speaker 1: going to change dreams. During the Civil War, everybody hated 1476 01:25:25,960 --> 01:25:28,040 Speaker 1: Lincoln in his first term, but they voted him in 1477 01:25:28,080 --> 01:25:30,760 Speaker 1: again because it was so drastic. We couldn't vote them out. 1478 01:25:31,200 --> 01:25:34,200 Speaker 1: During World War Two, in the depression, Roosevelt got in 1479 01:25:34,280 --> 01:25:37,080 Speaker 1: four times. We weren't about to change. That's what democrats, 1480 01:25:37,479 --> 01:25:41,839 Speaker 1: these idiots, and I hope they're listening, Pelosi and Schumer 1481 01:25:41,920 --> 01:25:44,040 Speaker 1: and the rest of them. These idiots think that by 1482 01:25:44,080 --> 01:25:46,720 Speaker 1: fanning the flames of fear, which they're doing right now, 1483 01:25:46,760 --> 01:25:49,880 Speaker 1: that's going to push Trump aside. Finally, we are not. 1484 01:25:50,080 --> 01:25:52,479 Speaker 1: We are not going to change at this point. If 1485 01:25:52,479 --> 01:25:55,560 Speaker 1: the election was tomorrow, Trump would win by a landslide 1486 01:25:55,760 --> 01:25:58,920 Speaker 1: like we've never seen. It just doesn't happen in American history. 1487 01:26:00,120 --> 01:26:04,799 Speaker 1: Just there's nothing that I see that Democrats have done 1488 01:26:05,200 --> 01:26:08,760 Speaker 1: to make us safer, to make us more secure, to 1489 01:26:09,160 --> 01:26:15,639 Speaker 1: have increased our prosperity, create jobs, and frankly, this rhetoric, 1490 01:26:15,960 --> 01:26:19,000 Speaker 1: this madness, this insanity. Remember they were in the middle 1491 01:26:19,000 --> 01:26:21,599 Speaker 1: of impeaching Donald Trump, they had their trial. They weren't 1492 01:26:21,600 --> 01:26:24,479 Speaker 1: talking about when the president was instituting a travel band. 1493 01:26:24,600 --> 01:26:27,040 Speaker 1: Well he didn't take it seriously. Well it's pretty serious 1494 01:26:27,080 --> 01:26:28,880 Speaker 1: because he was called a whole bunch of names by 1495 01:26:28,920 --> 01:26:32,479 Speaker 1: doing it. And it's you know, every single thing that 1496 01:26:32,520 --> 01:26:35,719 Speaker 1: he's done, every step of the way. It's there's nothing. 1497 01:26:35,760 --> 01:26:38,519 Speaker 1: If he cures cancer, they'll never say a good word. 1498 01:26:38,560 --> 01:26:41,880 Speaker 1: They can't. It's not in them. I just accept it. Yeah. 1499 01:26:41,920 --> 01:26:43,800 Speaker 1: Just one last thing yesterday. I don't know if you 1500 01:26:43,840 --> 01:26:46,120 Speaker 1: saw it, but on CNN they brought out are you 1501 01:26:46,160 --> 01:26:48,760 Speaker 1: ready for this? You probably saw. They brought out Stephen King, 1502 01:26:49,080 --> 01:26:52,000 Speaker 1: Stephen King of all people whose stock in trade is 1503 01:26:52,040 --> 01:26:54,200 Speaker 1: horrifying people as a living and he's very good at it. 1504 01:26:54,280 --> 01:26:57,000 Speaker 1: Is great author, great horror. He was on CNN yesterday 1505 01:26:57,080 --> 01:27:00,360 Speaker 1: saying what's going to happen? They have officially the crap 1506 01:27:00,479 --> 01:27:03,800 Speaker 1: party and the media have officially jumped the shark. That 1507 01:27:03,920 --> 01:27:06,680 Speaker 1: was the day yesterday when for a lot of us 1508 01:27:06,680 --> 01:27:09,920 Speaker 1: out here, we're just not going to listen anymore. And 1509 01:27:10,040 --> 01:27:13,400 Speaker 1: I listened to CNN, but not anymore. That that they 1510 01:27:13,439 --> 01:27:16,959 Speaker 1: have scraped. They've gone as low as you could possibly 1511 01:27:17,000 --> 01:27:20,479 Speaker 1: go by bringing out the mister fear factor himself, Stephen King. 1512 01:27:20,680 --> 01:27:25,040 Speaker 1: Oh my god, it's it's it's it's beyond insane. Long 1513 01:27:25,080 --> 01:27:28,559 Speaker 1: live Donald Trump? Is he perfect now? But we're heading 1514 01:27:28,600 --> 01:27:31,080 Speaker 1: in the right direction here. I wish November third was tomorrow, 1515 01:27:31,120 --> 01:27:33,200 Speaker 1: to be honest with you listen, I think you know 1516 01:27:33,479 --> 01:27:35,360 Speaker 1: my hope is I think the reason the president and 1517 01:27:36,120 --> 01:27:39,360 Speaker 1: again I'm I'm speculating here, but I think based on 1518 01:27:39,479 --> 01:27:43,400 Speaker 1: what what the medical experts around him are saying, is hey, 1519 01:27:43,479 --> 01:27:46,240 Speaker 1: we we gotta dig in a little longer. We're going 1520 01:27:46,280 --> 01:27:48,320 Speaker 1: to cure all the cancer. We're not going to leave 1521 01:27:48,320 --> 01:27:50,439 Speaker 1: a little bit behind, because if we do, then we 1522 01:27:50,560 --> 01:27:53,000 Speaker 1: might have a rebound in this and that I think 1523 01:27:53,120 --> 01:27:55,880 Speaker 1: was the reason for the decision to extend what the 1524 01:27:55,960 --> 01:27:59,080 Speaker 1: measures were now taking through April the thirtieth. So I 1525 01:27:59,120 --> 01:28:01,559 Speaker 1: like it. No, does everybody in America want to get 1526 01:28:01,600 --> 01:28:05,400 Speaker 1: back to normal life? Yes, if the patterns hold, we're 1527 01:28:05,400 --> 01:28:08,160 Speaker 1: going to see a leveling. And then after the leveling, 1528 01:28:08,280 --> 01:28:11,679 Speaker 1: hopefully we'll see what happened in South Korea and other countries, 1529 01:28:11,680 --> 01:28:15,240 Speaker 1: and that is that a precipitous decline and we begin 1530 01:28:15,280 --> 01:28:17,479 Speaker 1: to stop the virus, and then that means we can 1531 01:28:17,479 --> 01:28:19,759 Speaker 1: get back to normal life. And then when the economy, 1532 01:28:19,800 --> 01:28:21,679 Speaker 1: by the way, in the second quarter is crap, which 1533 01:28:21,680 --> 01:28:24,439 Speaker 1: it will be, then they'll say, ah, Donald Trump ruined 1534 01:28:24,439 --> 01:28:26,599 Speaker 1: the economy. Well, I want to see what the third 1535 01:28:26,680 --> 01:28:30,840 Speaker 1: quarter numbers look like. Because if my belief in the 1536 01:28:30,840 --> 01:28:34,360 Speaker 1: American people does dying to get back to work. I 1537 01:28:34,400 --> 01:28:36,120 Speaker 1: believe that everyone I talk to him, I want to 1538 01:28:36,160 --> 01:28:38,360 Speaker 1: get back to normal life. I want to work now. 1539 01:28:38,880 --> 01:28:41,920 Speaker 1: I want to do this. I think we could have 1540 01:28:42,560 --> 01:28:47,400 Speaker 1: the biggest turnaround literally you talk about you and then 1541 01:28:47,800 --> 01:28:50,559 Speaker 1: a precipitous rise. That's what I'd like to see for 1542 01:28:50,600 --> 01:28:53,800 Speaker 1: the country's sake, you know what. N Yeah, I was 1543 01:28:53,840 --> 01:28:56,080 Speaker 1: thinking about this over the weekend as I talk to 1544 01:28:56,120 --> 01:28:58,240 Speaker 1: my little boy who can't understand why he can't see 1545 01:28:58,240 --> 01:29:00,240 Speaker 1: his friends and he can't go to school, and he 1546 01:29:00,280 --> 01:29:01,800 Speaker 1: wants to know about the virus and why is the 1547 01:29:01,880 --> 01:29:04,400 Speaker 1: virus hurting people and so on and so forth. And 1548 01:29:04,439 --> 01:29:06,559 Speaker 1: I was thinking about, you know, eight years of Barack 1549 01:29:06,560 --> 01:29:09,439 Speaker 1: Obama and that mantra of hope and change, and how 1550 01:29:09,479 --> 01:29:11,800 Speaker 1: the president was trying to instill a little bit of hope, 1551 01:29:11,840 --> 01:29:15,080 Speaker 1: a little bit of you know, just just promise that 1552 01:29:15,120 --> 01:29:17,280 Speaker 1: maybe we'd be able to see each other on Easter Sunday. 1553 01:29:17,400 --> 01:29:19,840 Speaker 1: And then, of course, you know, Falci and Burke said, no, 1554 01:29:19,920 --> 01:29:21,880 Speaker 1: that's not a good idea, But at least he is 1555 01:29:21,960 --> 01:29:24,439 Speaker 1: still a little bit of hope. Right, We're looking at hope, 1556 01:29:24,479 --> 01:29:26,639 Speaker 1: We're hoping that we can find a cure. We're hoping 1557 01:29:26,680 --> 01:29:30,320 Speaker 1: that governors will pull together. We're hoping that democratic mainstream 1558 01:29:30,320 --> 01:29:33,200 Speaker 1: media will stop playing politics with people's lives and and 1559 01:29:33,240 --> 01:29:36,200 Speaker 1: just you know, dispel with all of them morbidity. Every 1560 01:29:36,200 --> 01:29:39,760 Speaker 1: single night, there's something to be setical. It's horror. But yeah, 1561 01:29:39,760 --> 01:29:42,479 Speaker 1: but Sean, you know, not for nothing. You know you're cynical. 1562 01:29:45,320 --> 01:29:47,479 Speaker 1: At least you're giving people a little bit of hope. 1563 01:29:47,720 --> 01:29:50,200 Speaker 1: You know, we're gonna we're gonna talk to different doctors, 1564 01:29:50,200 --> 01:29:52,679 Speaker 1: We're gonna look at different things. You know who hates 1565 01:29:52,760 --> 01:29:57,040 Speaker 1: me right now, Doctor Oz, doctor Josh Humber, all my 1566 01:29:57,280 --> 01:30:01,240 Speaker 1: doctor Pete, doctor Steve, doctor all my doctor friends hate 1567 01:30:01,240 --> 01:30:02,920 Speaker 1: me right now. They don't really hate me, They just 1568 01:30:03,000 --> 01:30:05,760 Speaker 1: know that I'm obsessed. I think I was texting doctor 1569 01:30:06,200 --> 01:30:07,840 Speaker 1: who in the morning last night. I said, did you 1570 01:30:07,880 --> 01:30:10,320 Speaker 1: see this? Did you see that? You're obsessed with looking 1571 01:30:10,360 --> 01:30:14,320 Speaker 1: for something positive? The answers these people are out there 1572 01:30:14,360 --> 01:30:17,280 Speaker 1: trying to tear down the little bit of hope that 1573 01:30:17,400 --> 01:30:19,920 Speaker 1: people are building up in the midst of something he likes. 1574 01:30:19,960 --> 01:30:24,679 Speaker 1: We've never seen I understand the reality of what politics are. 1575 01:30:24,920 --> 01:30:30,120 Speaker 1: I get it. There is no look. In many ways, 1576 01:30:30,680 --> 01:30:34,320 Speaker 1: there's only one antidote This is where the choice comes in. 1577 01:30:34,880 --> 01:30:38,280 Speaker 1: This is now the tipping point. This now factors into, Okay, 1578 01:30:38,320 --> 01:30:41,000 Speaker 1: the election, quid pro quo. Joe has a record on 1579 01:30:41,080 --> 01:30:43,920 Speaker 1: dealing with a pandemic. He has a record on the economy. 1580 01:30:44,040 --> 01:30:47,439 Speaker 1: He has a record without horrific Iranian deal. That record 1581 01:30:47,479 --> 01:30:50,080 Speaker 1: will also be on the ballot, assuming he's on the ballot. 1582 01:30:50,120 --> 01:30:52,920 Speaker 1: I mean, there's so much speculation Andrew Cuomo is going 1583 01:30:52,960 --> 01:30:55,760 Speaker 1: to take his place. I'll be interesting to watch them 1584 01:30:55,800 --> 01:30:59,160 Speaker 1: try and pull that one off. And I'm willing to 1585 01:30:59,160 --> 01:31:03,320 Speaker 1: talk about Andrew Cuomo's record is as often as possible. Listen. 1586 01:31:03,360 --> 01:31:05,559 Speaker 1: I wanted a good relationship with Andrew Cuomo. We put 1587 01:31:05,640 --> 01:31:07,599 Speaker 1: him on the air. We even blew breaks that day 1588 01:31:07,840 --> 01:31:10,479 Speaker 1: because he was saying, let's all get together. You know, 1589 01:31:10,600 --> 01:31:13,160 Speaker 1: I see all the press conferences at the Javits Center. 1590 01:31:13,280 --> 01:31:16,799 Speaker 1: That would be the president who built that, the president 1591 01:31:16,880 --> 01:31:19,599 Speaker 1: brought the ship in, the President that sent him four 1592 01:31:19,640 --> 01:31:23,439 Speaker 1: thousand ventilators that he threw in a warehouse, and he 1593 01:31:23,479 --> 01:31:26,200 Speaker 1: had you know, now in his third term, he's had 1594 01:31:26,360 --> 01:31:30,599 Speaker 1: enough boondoggles out there that he's wasted so much money 1595 01:31:31,000 --> 01:31:34,599 Speaker 1: of the taxpayers of New York. And you know, hear 1596 01:31:34,680 --> 01:31:37,240 Speaker 1: all these things that come I need forty thousand. I'm like, 1597 01:31:37,680 --> 01:31:40,360 Speaker 1: you're not using the four you have. We're trying to 1598 01:31:40,400 --> 01:31:44,599 Speaker 1: get him built as quickly as we can. Every company is, 1599 01:31:44,800 --> 01:31:47,479 Speaker 1: you know, stepping up to the challenge. I think we'll 1600 01:31:47,479 --> 01:31:49,759 Speaker 1: have them in time, as my guess, based on everything 1601 01:31:49,760 --> 01:31:52,160 Speaker 1: I hear everybody saying about it. But you know what, 1602 01:31:52,439 --> 01:31:54,679 Speaker 1: you know, he spend seven hundred and fifty million dollars 1603 01:31:54,680 --> 01:31:58,280 Speaker 1: for a solar panel factory and upstate New York that 1604 01:31:58,400 --> 01:32:02,640 Speaker 1: yeah closed down. Million for a lightbulb company in California 1605 01:32:02,800 --> 01:32:05,400 Speaker 1: that didn't work out either. Six hundred million for a 1606 01:32:05,400 --> 01:32:12,360 Speaker 1: computer chip factory that sits empty. How many gowns, masks, respirators, ventilators, 1607 01:32:12,800 --> 01:32:16,920 Speaker 1: gloves could he have purchased with just a smidgeon of 1608 01:32:17,000 --> 01:32:20,680 Speaker 1: this money that he wasted. So it just is infuriating, 1609 01:32:20,680 --> 01:32:23,760 Speaker 1: But you're not going to stop them from playing politics 1610 01:32:24,400 --> 01:32:28,160 Speaker 1: when it comes to power. For many, it is the 1611 01:32:28,320 --> 01:32:32,559 Speaker 1: ultimate aphrodisiac, if you will, It's the ultimate goal. That's 1612 01:32:32,560 --> 01:32:34,519 Speaker 1: all they care about right now. I'd like to see 1613 01:32:35,040 --> 01:32:39,360 Speaker 1: Americans stay healthy, save as many lives as possible, get 1614 01:32:39,400 --> 01:32:41,639 Speaker 1: to the other side of this, and hopefully the pattern 1615 01:32:41,720 --> 01:32:44,760 Speaker 1: holds and we go on and become and we live 1616 01:32:44,800 --> 01:32:48,320 Speaker 1: our normal American life. That's what everybody wants, right. That's 1617 01:32:48,320 --> 01:32:50,599 Speaker 1: gonna wrap things up at today, all right, Hannity Tonight, 1618 01:32:50,800 --> 01:32:54,200 Speaker 1: an amazing sight to see in New York today is 1619 01:32:54,240 --> 01:32:59,599 Speaker 1: this Navy hospital ship that treats a thousand patients at once. 1620 01:33:00,120 --> 01:33:03,040 Speaker 1: Along with the Javits Center, you know, the Army Corps 1621 01:33:03,040 --> 01:33:06,760 Speaker 1: of Engineers three thousand beds already built, four others going 1622 01:33:06,840 --> 01:33:09,280 Speaker 1: up now Franklin, Grandma has one in Central Park. Anyway, 1623 01:33:09,280 --> 01:33:13,600 Speaker 1: We'll be doing the show tonight right at the location 1624 01:33:14,000 --> 01:33:18,240 Speaker 1: of the US Comfort and I'm just very honored to 1625 01:33:18,280 --> 01:33:20,360 Speaker 1: do it. We'll show you the inside of that, the 1626 01:33:20,400 --> 01:33:24,400 Speaker 1: inside of these these Army Corps of Engineer hospitals, and 1627 01:33:24,800 --> 01:33:26,760 Speaker 1: all of that exclusively and all you need to know 1628 01:33:26,800 --> 01:33:28,960 Speaker 1: that you won't get from the media mob. So we 1629 01:33:29,000 --> 01:33:32,519 Speaker 1: hope you'll join us tonight, nine Eastern Hannity, Fox News. 1630 01:33:32,520 --> 01:33:34,320 Speaker 1: Thanks for being with us, See you tonight. Back here 1631 01:33:34,360 --> 01:33:34,759 Speaker 1: tomorrow