1 00:00:00,480 --> 00:00:02,960 Speaker 1: All right, gladuate with US eight hundred and nine four 2 00:00:03,120 --> 00:00:04,800 Speaker 1: one Shawn, if you want to be a part of 3 00:00:04,840 --> 00:00:09,799 Speaker 1: this extravaganza. Where we are in New York, by the way, 4 00:00:09,880 --> 00:00:13,720 Speaker 1: has just been put under a tornado warning. UM. You 5 00:00:13,720 --> 00:00:15,280 Speaker 1: don't get a lot of them up here. We've had 6 00:00:15,320 --> 00:00:21,200 Speaker 1: them before. It is well. Last I saw was valid 7 00:00:21,280 --> 00:00:26,040 Speaker 1: until now. The areas stretching from UM for our New 8 00:00:26,120 --> 00:00:31,400 Speaker 1: York New audience from the Yonkers, the Bronx, Nora Shell, 9 00:00:31,680 --> 00:00:35,360 Speaker 1: Northern Long Island, which would be everywhere from say Great 10 00:00:35,400 --> 00:00:40,600 Speaker 1: Neck Port, Washington, Glen Cove, but the northern part and 11 00:00:41,080 --> 00:00:44,600 Speaker 1: doesn't seem to be no reports of any touchdowns, no 12 00:00:44,680 --> 00:00:47,519 Speaker 1: reports of any funnels, but we'll keep an eye on it, UM, 13 00:00:47,920 --> 00:00:50,920 Speaker 1: just real quick. When this happened, you've always got to 14 00:00:50,960 --> 00:00:54,040 Speaker 1: remember what to do, and most people don't think about it. 15 00:00:54,080 --> 00:00:56,959 Speaker 1: I remember when I was in Huntsville. This was this 16 00:00:57,040 --> 00:01:01,360 Speaker 1: was a regular thing, and day and night I would 17 00:01:01,440 --> 00:01:05,080 Speaker 1: be called in and dealing with uh, you know, tornado 18 00:01:05,160 --> 00:01:08,160 Speaker 1: watch coverage. And they had a couple of bad ones. 19 00:01:08,200 --> 00:01:12,920 Speaker 1: We know they recently had bad ones, UM in Nashville 20 00:01:12,920 --> 00:01:15,160 Speaker 1: and elsewhere in the South, as we told you, where 21 00:01:15,160 --> 00:01:17,520 Speaker 1: else was it Linda. Where were the other areas that 22 00:01:17,600 --> 00:01:20,520 Speaker 1: got hit pretty hard, pretty much along the whole southeast 23 00:01:20,240 --> 00:01:23,120 Speaker 1: and Southeast. I mean, it's just terrible what's happening. I mean, 24 00:01:23,160 --> 00:01:25,640 Speaker 1: they're just getting they're really getting hurt by this horrible 25 00:01:25,680 --> 00:01:28,679 Speaker 1: weather and on top of COVID, it's just it's been 26 00:01:28,720 --> 00:01:30,880 Speaker 1: it's been horrible, and they're in our prayers though we're 27 00:01:30,880 --> 00:01:34,280 Speaker 1: always thinking of them. No, I mean, and look, what 28 00:01:34,400 --> 00:01:37,040 Speaker 1: can you do? Not a whole lot, to be very honest, 29 00:01:37,200 --> 00:01:40,760 Speaker 1: the most important thing you do is you find shelter. 30 00:01:41,040 --> 00:01:42,920 Speaker 1: If you're in a house, you go to your basement. 31 00:01:43,760 --> 00:01:46,800 Speaker 1: All of this is online. We're watching local coverage now 32 00:01:46,959 --> 00:01:51,040 Speaker 1: as as this comes on. But um, it's just you know, 33 00:01:51,080 --> 00:01:55,560 Speaker 1: you you've got to just take it seriously. And you know, 34 00:01:55,680 --> 00:01:58,320 Speaker 1: there's a difference between a watch and a warning. A 35 00:01:58,400 --> 00:02:01,920 Speaker 1: watch as the conditions are right. You know, many people 36 00:02:02,120 --> 00:02:04,280 Speaker 1: risked their lives. I'd like these, you know, are job 37 00:02:04,320 --> 00:02:07,840 Speaker 1: ASTARTI friends of the world. But tornadoes can happen pretty 38 00:02:07,920 --> 00:02:11,000 Speaker 1: much any time of the year. There are distinct seasons 39 00:02:11,000 --> 00:02:13,400 Speaker 1: for twisters in different parts of the country. We know 40 00:02:13,560 --> 00:02:17,600 Speaker 1: that there's tornado alley. We cover them all the time 41 00:02:17,639 --> 00:02:23,400 Speaker 1: as well. There's a general northward shift in tornadoes season 42 00:02:24,000 --> 00:02:27,200 Speaker 1: in the US, usually from late winter through Midsummer. About 43 00:02:27,280 --> 00:02:31,120 Speaker 1: this period. The peak periods in the southern plains, for examples, 44 00:02:31,200 --> 00:02:33,799 Speaker 1: during May and early June. On the Gulf Coast, it's 45 00:02:34,000 --> 00:02:37,560 Speaker 1: it's earlier northern plains upper Midwest in June and July. 46 00:02:39,120 --> 00:02:42,800 Speaker 1: But forecasters when there is a watch if weather conditions 47 00:02:42,840 --> 00:02:47,760 Speaker 1: are favorable thunderstorms capable of producing tornadoes in a region. 48 00:02:48,240 --> 00:02:53,520 Speaker 1: When watches issued, they cover counties in states where tornadoes 49 00:02:53,560 --> 00:02:57,760 Speaker 1: may occur, and a warning is when a tornado has 50 00:02:57,800 --> 00:03:00,720 Speaker 1: actually been sighted on the ground. This is a watch, 51 00:03:00,760 --> 00:03:02,880 Speaker 1: it's not a warning. We'll keep an eye on it 52 00:03:02,960 --> 00:03:05,840 Speaker 1: for people in the area and for anybody at any point. 53 00:03:06,240 --> 00:03:08,280 Speaker 1: You know, I know a lot of people just aren't 54 00:03:08,320 --> 00:03:10,240 Speaker 1: big rule followers. I was going to talk about this 55 00:03:10,320 --> 00:03:13,639 Speaker 1: today to a certain extent. I know that there are 56 00:03:13,720 --> 00:03:18,400 Speaker 1: some of you out there that are just reflexively, instinctively 57 00:03:19,800 --> 00:03:25,560 Speaker 1: against any government mandate about shelter in place, stay at home. 58 00:03:25,680 --> 00:03:28,560 Speaker 1: Orders can't cut your grass. I mean, some of it's stupid, 59 00:03:29,560 --> 00:03:32,760 Speaker 1: and government can overreach, and of course we've got to 60 00:03:33,320 --> 00:03:38,960 Speaker 1: really watch that these measures are not grandfathered in for 61 00:03:39,000 --> 00:03:42,560 Speaker 1: the future. I just say, for the most part, what's 62 00:03:42,600 --> 00:03:45,200 Speaker 1: the big deal? If you got to wear a mask. Look, 63 00:03:45,280 --> 00:03:48,160 Speaker 1: I choose to wear a mask for other people in 64 00:03:48,200 --> 00:03:50,960 Speaker 1: New York right now, and the death told you know again, 65 00:03:51,000 --> 00:03:53,720 Speaker 1: it's another day. Numbers are down. We're on a downward 66 00:03:54,560 --> 00:03:58,720 Speaker 1: trajectory at this point. And it's it's like when we 67 00:03:58,840 --> 00:04:01,560 Speaker 1: open things up, if you want to take an abundance 68 00:04:01,560 --> 00:04:06,320 Speaker 1: of caution, that doesn't mean you're you know, you're Your 69 00:04:06,360 --> 00:04:09,480 Speaker 1: courage is not measured by the fact that you wear 70 00:04:09,520 --> 00:04:12,120 Speaker 1: a mask and you're safe. If anything. To me, it 71 00:04:12,200 --> 00:04:15,720 Speaker 1: says that if you're young, and you're healthy and you know, 72 00:04:15,840 --> 00:04:20,159 Speaker 1: not likely to be hurt by the virus, say as 73 00:04:20,279 --> 00:04:24,160 Speaker 1: other people are with underlying medical conditions and compromise immune systems, 74 00:04:24,960 --> 00:04:27,760 Speaker 1: you know, what's the big deal? Maybe you're protecting other people. 75 00:04:27,920 --> 00:04:31,359 Speaker 1: That to me is like not being selfish. Anyway, let 76 00:04:31,400 --> 00:04:33,240 Speaker 1: me get on. We got a lot happening just for 77 00:04:33,279 --> 00:04:35,240 Speaker 1: the New York News. As long as we're in an 78 00:04:35,279 --> 00:04:40,200 Speaker 1: eight straight net drops and hospitalizations, net drop in intubations. 79 00:04:40,240 --> 00:04:45,680 Speaker 1: That's nine consecutive days of finally, the death toll. This 80 00:04:45,720 --> 00:04:48,800 Speaker 1: had not been the case since April first. Now in 81 00:04:49,000 --> 00:04:52,919 Speaker 1: New York is under for the whole state under five hundred. 82 00:04:53,240 --> 00:05:01,520 Speaker 1: Now for the second straight day we have let's see 83 00:05:01,080 --> 00:05:04,600 Speaker 1: if we have now hit the peak the apex, and 84 00:05:04,640 --> 00:05:06,680 Speaker 1: then you got the leveling, and now we're seeing the 85 00:05:06,760 --> 00:05:10,000 Speaker 1: drop and usually then results in a more precipitous drop, 86 00:05:10,040 --> 00:05:14,440 Speaker 1: hopefully at some point. The net decrease in hospitalizations is 87 00:05:15,120 --> 00:05:19,240 Speaker 1: minus twenty seven. That's the eighth straight day net decrease 88 00:05:19,320 --> 00:05:22,320 Speaker 1: in the intubations minus one hundred and twenty seven. That's 89 00:05:22,320 --> 00:05:26,080 Speaker 1: a lot. That's nine straight days of a net decrease. 90 00:05:26,160 --> 00:05:30,960 Speaker 1: Three day rolling average of COVID nineteen hospitalizations is now 91 00:05:31,000 --> 00:05:35,360 Speaker 1: around thirteen hundred, down from two thousand. And if you 92 00:05:35,400 --> 00:05:39,040 Speaker 1: look at the different regions, you know, hospitalizations New York 93 00:05:39,040 --> 00:05:42,080 Speaker 1: City by far the highest at sixty four percent, Long 94 00:05:42,120 --> 00:05:47,279 Speaker 1: Island at twenty one percent, Westchester, Rockland eight percent, the 95 00:05:47,320 --> 00:05:51,200 Speaker 1: rest of the state seven percent. And there is going 96 00:05:51,240 --> 00:05:54,800 Speaker 1: to be elective outpatient treatment and surgery in low risk 97 00:05:54,880 --> 00:05:59,279 Speaker 1: counties and hospitals beginning in the near term. And look, 98 00:05:59,279 --> 00:06:02,839 Speaker 1: everybody's get up and running and ready and prepared for 99 00:06:03,000 --> 00:06:08,400 Speaker 1: when they can safely reopen and the keyword courses safely. 100 00:06:09,920 --> 00:06:12,360 Speaker 1: And I know that for some this is hard. Now. 101 00:06:12,400 --> 00:06:15,240 Speaker 1: Of course, you can't count on your medium mob. You know, 102 00:06:15,480 --> 00:06:18,520 Speaker 1: whatever happened to Steve Schmidt. Steve Schmidt is literally now 103 00:06:18,600 --> 00:06:22,760 Speaker 1: said forty thousand Americans are dead because of the ineptitude 104 00:06:22,800 --> 00:06:27,280 Speaker 1: of Trump's coronavirus response. You know, I'll be I guess 105 00:06:27,320 --> 00:06:30,960 Speaker 1: the only one to say it. There's never been If 106 00:06:30,960 --> 00:06:34,320 Speaker 1: you look at the timeline that we put up yesterday 107 00:06:34,360 --> 00:06:36,560 Speaker 1: on Hannity dot com, and you look at what were 108 00:06:36,560 --> 00:06:40,200 Speaker 1: the Democrats doing when the President put his travel ban 109 00:06:40,320 --> 00:06:43,080 Speaker 1: in effect, they were impeaching the president. February twenty fourth, 110 00:06:43,160 --> 00:06:48,040 Speaker 1: Nancy Pelosi, Madame ice Cream, was telling people come to Chinatown, 111 00:06:48,240 --> 00:06:51,600 Speaker 1: come come same thing with a dopey mayor and health 112 00:06:51,640 --> 00:06:54,520 Speaker 1: officials in New York City into March. They were saying 113 00:06:54,760 --> 00:06:59,400 Speaker 1: these things. Anthony Fauci is well respected as he is, 114 00:06:59,480 --> 00:07:01,680 Speaker 1: and I don't think through any fault of his own, 115 00:07:01,800 --> 00:07:04,760 Speaker 1: You're basing a lot of this on phony data that 116 00:07:04,800 --> 00:07:08,960 Speaker 1: we were given from China, so that through the world 117 00:07:09,040 --> 00:07:13,240 Speaker 1: community's response time way way off, which again then highlights 118 00:07:13,280 --> 00:07:16,840 Speaker 1: how insightful the president was ten days after the first 119 00:07:16,960 --> 00:07:22,080 Speaker 1: case in in the country to put in the China 120 00:07:22,120 --> 00:07:26,080 Speaker 1: travel ban. I was just smart but it became you know, 121 00:07:26,120 --> 00:07:28,760 Speaker 1: in New York, for example, March second, you have Governor 122 00:07:28,800 --> 00:07:31,200 Speaker 1: Cuomo saying, well, we're not like these other places. I 123 00:07:31,200 --> 00:07:33,520 Speaker 1: don't mean to be an arrogant New Yorker, but we 124 00:07:33,520 --> 00:07:36,160 Speaker 1: were ready for this. We can handle this. They weren't ready. 125 00:07:36,680 --> 00:07:38,560 Speaker 1: And I'm not blaming the governor here. This is not 126 00:07:38,680 --> 00:07:42,560 Speaker 1: finger pointing. It is a lot wasn't known. But the 127 00:07:42,600 --> 00:07:45,560 Speaker 1: person that ends up with the best timeline, that reacted 128 00:07:45,600 --> 00:07:49,840 Speaker 1: the fastest, ended up being the President himself. Not that 129 00:07:50,120 --> 00:07:54,920 Speaker 1: he'll ever get any credit from anybody in the mob. 130 00:07:55,640 --> 00:07:59,200 Speaker 1: They just they're not capable of acknowledging that they were wrong. 131 00:07:59,240 --> 00:08:01,560 Speaker 1: And they did pull politicize the virus, and they did 132 00:08:01,560 --> 00:08:05,160 Speaker 1: it early. And the dopey New York Times telling people 133 00:08:05,200 --> 00:08:07,840 Speaker 1: after the travel ban in early February, oh, yeah, who 134 00:08:07,880 --> 00:08:10,520 Speaker 1: says it's not saved to travel to China? And you 135 00:08:10,560 --> 00:08:13,480 Speaker 1: want to talk about politicizing it Trump virus? If you're 136 00:08:13,480 --> 00:08:16,400 Speaker 1: feeling awful, you know who to blame. And every other 137 00:08:16,520 --> 00:08:20,880 Speaker 1: dumb thing that they said, now, there's nothing Donald Trump 138 00:08:20,960 --> 00:08:22,760 Speaker 1: can do that is right in their minds. You know, 139 00:08:22,800 --> 00:08:24,800 Speaker 1: there was a Wall Street journal piece and op ed 140 00:08:25,400 --> 00:08:29,960 Speaker 1: by Robert C. O'Brien and he talks about the seven 141 00:08:30,160 --> 00:08:36,319 Speaker 1: Fateful coronavirus decisions. Now, I would argue considering New York thought, 142 00:08:37,320 --> 00:08:40,280 Speaker 1: New York government, New York City government, state government was 143 00:08:40,320 --> 00:08:45,880 Speaker 1: saying everything's fine in early March. Now between then and now, 144 00:08:46,360 --> 00:08:49,760 Speaker 1: which is now seven weeks, but we've been ready for 145 00:08:49,880 --> 00:08:54,720 Speaker 1: three weeks. So in four weeks, this president was able 146 00:08:54,760 --> 00:08:58,000 Speaker 1: to get not only enough ventilators, now we have an 147 00:08:58,080 --> 00:09:01,400 Speaker 1: overflow of ventilators, he was able to get that up 148 00:09:01,440 --> 00:09:03,720 Speaker 1: and running. He was able to get all the masks, 149 00:09:03,880 --> 00:09:07,600 Speaker 1: all the shields, all the gowns, all the respirators in 150 00:09:07,679 --> 00:09:11,480 Speaker 1: a mobilization, medical mobilization that we had never seen before. 151 00:09:12,400 --> 00:09:15,319 Speaker 1: And it wasn't the states that got this done. It 152 00:09:15,440 --> 00:09:19,040 Speaker 1: was the federal government that got that done. Then you 153 00:09:19,080 --> 00:09:23,200 Speaker 1: get the hospitals built at the Javits Center, the the 154 00:09:23,840 --> 00:09:28,720 Speaker 1: you know, the Navy hospital ship comes to town. Then 155 00:09:28,800 --> 00:09:31,880 Speaker 1: they have to be converted to COVID nineteen hospitals, not 156 00:09:31,960 --> 00:09:34,880 Speaker 1: an easy task. Then they didn't have the personnel. The 157 00:09:34,920 --> 00:09:38,080 Speaker 1: President staffed it for New York. And you have that 158 00:09:38,200 --> 00:09:41,719 Speaker 1: idiot Mayor of New York to Blasio, you know, what 159 00:09:41,720 --> 00:09:43,679 Speaker 1: are you? What is the mister President, you're gonna tell 160 00:09:43,760 --> 00:09:46,760 Speaker 1: New York to drop dead. If you were left to 161 00:09:46,800 --> 00:09:51,560 Speaker 1: your own devices, mayor how many thousands and thousands or 162 00:09:51,559 --> 00:09:55,120 Speaker 1: more people would have died. You had no ventilators. You 163 00:09:55,160 --> 00:09:59,320 Speaker 1: had nothing. The five hundred ventilators you inherited from Mike 164 00:09:59,400 --> 00:10:03,400 Speaker 1: Bloomberg you auctioned off because you didn't maintain them. And 165 00:10:03,440 --> 00:10:05,400 Speaker 1: you don't even know who you auctioned them off too, 166 00:10:06,280 --> 00:10:08,720 Speaker 1: you know, and you and it had been recommended that 167 00:10:08,800 --> 00:10:13,160 Speaker 1: New York City, not the state, by nearly ten thousand ventilators, 168 00:10:13,200 --> 00:10:15,959 Speaker 1: just like the state. They said peak week, you're gonna 169 00:10:15,960 --> 00:10:20,840 Speaker 1: need seventeen thousand, I'm sorry, fifteen thousand, seven hundred eighty 170 00:10:20,880 --> 00:10:25,839 Speaker 1: three ventilators. They didn't have them. The President, he assembled 171 00:10:25,840 --> 00:10:31,120 Speaker 1: the team January twenty ninth, established the White House Coronavirus 172 00:10:31,200 --> 00:10:34,959 Speaker 1: Task Force. This is now hang on. That's eight days 173 00:10:35,040 --> 00:10:38,440 Speaker 1: after the first case in the US. The first case, 174 00:10:38,880 --> 00:10:41,440 Speaker 1: by the way, New York's first case was March one. 175 00:10:42,480 --> 00:10:46,640 Speaker 1: March one. That's how quickly this thing ripped through New 176 00:10:46,720 --> 00:10:50,280 Speaker 1: York State. You know, that's seven weeks ago. That's how 177 00:10:50,360 --> 00:10:54,199 Speaker 1: quickly it happened. You know, Fauci saying, you know, still 178 00:10:54,280 --> 00:10:57,280 Speaker 1: low risk for people in the United States on February 179 00:10:57,280 --> 00:10:59,640 Speaker 1: twenty ninth. He was not saying, he was not giving 180 00:10:59,760 --> 00:11:03,439 Speaker 1: a wrong opinion. He was basing it on the information 181 00:11:03,520 --> 00:11:07,559 Speaker 1: they had, anecdotal and otherwise, and the lies that China 182 00:11:07,679 --> 00:11:10,640 Speaker 1: was telling. But he did that on the twenty ninth. 183 00:11:10,760 --> 00:11:15,640 Speaker 1: Then he ordered the travel band that was racist and xenophobic, 184 00:11:16,200 --> 00:11:21,080 Speaker 1: and of course hysterical and fearmongering, which happened from Joe 185 00:11:21,160 --> 00:11:24,360 Speaker 1: Biden's CNN and the rest of the clowns and the mob. 186 00:11:25,320 --> 00:11:30,080 Speaker 1: In early March, the President suspended travel even further and 187 00:11:30,280 --> 00:11:32,640 Speaker 1: quarantines by the way, we're put in effect not long 188 00:11:32,679 --> 00:11:35,679 Speaker 1: after the first travel band. Then we had the additional 189 00:11:35,720 --> 00:11:39,520 Speaker 1: travel bands. Then the virus began to stretch the public 190 00:11:39,559 --> 00:11:43,599 Speaker 1: health resources, you know, that's when they began on March sixteenth, 191 00:11:43,640 --> 00:11:47,520 Speaker 1: fifteen days to slow the spread. March nineteenth, the President 192 00:11:47,559 --> 00:11:53,760 Speaker 1: announced the avail availability of rendissevere. That that apparently, according 193 00:11:53,800 --> 00:11:56,080 Speaker 1: to others, we talked at length about it earlier on. 194 00:11:56,160 --> 00:11:59,120 Speaker 1: We haven't talked about it as much recently. For patients 195 00:11:59,120 --> 00:12:03,000 Speaker 1: and emergency situations. A lot of anecdotal information about that 196 00:12:04,320 --> 00:12:08,240 Speaker 1: hydroxy chloroquin even though you have the foremost expert doctor 197 00:12:08,320 --> 00:12:12,559 Speaker 1: Wallace forty two years experience, head of rheumatoid art right 198 00:12:12,600 --> 00:12:15,960 Speaker 1: as lupus. Everything in the country, you know, not one 199 00:12:16,000 --> 00:12:19,760 Speaker 1: time in forty two years prescribing hydroxy chloroquin did anybody 200 00:12:20,080 --> 00:12:22,959 Speaker 1: ever have to be hospitalized? He said? The risk at 201 00:12:22,960 --> 00:12:26,079 Speaker 1: these doses are nil. But everybody you know wanted to 202 00:12:26,200 --> 00:12:30,920 Speaker 1: bludgeon the president on that too. But allowing, for example, 203 00:12:32,000 --> 00:12:36,800 Speaker 1: the you know, the right to choose compassionate use up label. 204 00:12:37,520 --> 00:12:41,959 Speaker 1: I'm sorry, off label. These are all innovative things. Now 205 00:12:41,960 --> 00:12:46,160 Speaker 1: everybody snaps their finger. Where are the ventilators? Okay, you 206 00:12:46,160 --> 00:12:48,480 Speaker 1: don't get to snap your fingers and things just appear. 207 00:12:49,400 --> 00:12:52,280 Speaker 1: But they did it. They got the job done. What 208 00:12:52,480 --> 00:12:56,960 Speaker 1: the what the federal government did will be studied, I'm 209 00:12:57,040 --> 00:13:00,200 Speaker 1: telling you for years and years to come. And he 210 00:13:00,200 --> 00:13:03,200 Speaker 1: gets not only no credit, you have idiots all over 211 00:13:03,240 --> 00:13:06,560 Speaker 1: the mob. It is a twenty four seven, you know 212 00:13:06,880 --> 00:13:10,440 Speaker 1: CNN on March fourth, worry more about the flu, and 213 00:13:10,520 --> 00:13:13,679 Speaker 1: all they do is criticize the president, without whose help 214 00:13:14,240 --> 00:13:20,280 Speaker 1: and ability to mobilize. Unlike well other bureaucratic presidents save lives, 215 00:13:20,760 --> 00:13:24,160 Speaker 1: just like the travel bands save lives. He acted early. 216 00:13:24,400 --> 00:13:28,080 Speaker 1: He acted energetically. He went all in, he got the 217 00:13:28,200 --> 00:13:33,360 Speaker 1: job done, and the thanks he gets his never ending attacks. 218 00:13:32,800 --> 00:13:35,960 Speaker 1: It is beyond the sickest point in time and history 219 00:13:35,960 --> 00:13:38,200 Speaker 1: that I've seen in my life. Really is. And as 220 00:13:38,240 --> 00:13:40,440 Speaker 1: we roll along Sean Hannity Show, eight hundred and ninety 221 00:13:40,440 --> 00:13:44,240 Speaker 1: four one, Sean now the president, this should be front 222 00:13:44,280 --> 00:13:46,520 Speaker 1: and center. In one hundred and ninety six days, he 223 00:13:46,679 --> 00:13:50,520 Speaker 1: is suspending immigration over coronavirus number one. He needs to 224 00:13:50,559 --> 00:13:54,840 Speaker 1: protect US jobs, and he has signed an executive order 225 00:13:54,880 --> 00:13:59,320 Speaker 1: temporarily suspending immigration. Does it now make sense for all 226 00:13:59,400 --> 00:14:03,880 Speaker 1: the people? It? Reflexively instinctively every two four years. Republicans 227 00:14:03,880 --> 00:14:09,000 Speaker 1: are racist, sexist, homophobic, xenophobic, Islamophobic, misogynistic. They want dirty air, 228 00:14:09,080 --> 00:14:12,480 Speaker 1: water and kids to die and granny and grandpa to die. 229 00:14:14,559 --> 00:14:17,640 Speaker 1: That securing our borders is for a lot of reasons. 230 00:14:18,440 --> 00:14:21,400 Speaker 1: Number one should be okay, checking people's do they have 231 00:14:21,480 --> 00:14:25,280 Speaker 1: ties to radical groups? Number two should be about the 232 00:14:25,360 --> 00:14:28,720 Speaker 1: drug trafficking, the ninety percent of heroin and most of 233 00:14:28,720 --> 00:14:30,720 Speaker 1: the fent and all that makes it into this country 234 00:14:30,720 --> 00:14:33,560 Speaker 1: that kills three hundred people a week. Number three should 235 00:14:33,560 --> 00:14:37,040 Speaker 1: also be health screenings. Number four needs to be another 236 00:14:37,080 --> 00:14:40,280 Speaker 1: good reason is okay. Do you have the means to 237 00:14:40,320 --> 00:14:44,160 Speaker 1: take care of yourself financially when you arrive. We can't 238 00:14:44,160 --> 00:14:48,800 Speaker 1: put that burden on the American taxpairer. And then if 239 00:14:48,800 --> 00:14:52,200 Speaker 1: you if you then are invited and then you're part 240 00:14:52,240 --> 00:14:55,200 Speaker 1: of our family, you pay for your own background check. 241 00:14:56,280 --> 00:14:58,480 Speaker 1: That is how you do it. Now, we have more 242 00:14:58,720 --> 00:15:02,040 Speaker 1: updates on opening the country and doing it safely, more 243 00:15:02,160 --> 00:15:04,320 Speaker 1: updates on testing that we'll get to in the course 244 00:15:04,320 --> 00:15:07,920 Speaker 1: of the program. Today, Kevin McCarthy joins us doctor Oz 245 00:15:08,040 --> 00:15:10,360 Speaker 1: roger Stone. We got a busy newsday. We'll hit it 246 00:15:10,400 --> 00:15:12,800 Speaker 1: all straight ahead, all right, eight hundred nine four one 247 00:15:12,800 --> 00:15:15,240 Speaker 1: sewn Tolfrey telephone number. You want to be a part 248 00:15:15,280 --> 00:15:19,080 Speaker 1: of this extravagance. A great timeline. Deroy Murdoch put out 249 00:15:19,080 --> 00:15:24,520 Speaker 1: coronavirus timeline. Trump acted early energetically. Don't buy Democrats criticisms. 250 00:15:25,200 --> 00:15:29,720 Speaker 1: Remember Nancy Pelosi was telling everybody to go to Chinatown. 251 00:15:30,600 --> 00:15:35,080 Speaker 1: Nancy Pelosi was prepared for nothing. The people of California. Frankly, 252 00:15:35,560 --> 00:15:37,840 Speaker 1: Gavin Newsom, he did a great job for the people 253 00:15:37,840 --> 00:15:42,000 Speaker 1: of California. You look at what she was advising people. 254 00:15:42,040 --> 00:15:44,920 Speaker 1: She was in the middle of impeachment when the President 255 00:15:44,960 --> 00:15:47,960 Speaker 1: put the travel ban in effect. When the President talked 256 00:15:48,000 --> 00:15:51,920 Speaker 1: about the coronavirus in the State of the Union address, 257 00:15:51,960 --> 00:15:55,360 Speaker 1: she was too busy, you know, pre tearing the papers 258 00:15:55,400 --> 00:15:58,440 Speaker 1: for her temper tantrum that was to follow a pre 259 00:15:58,600 --> 00:16:03,080 Speaker 1: planned you know, aid for camera's moment of her ripping 260 00:16:03,120 --> 00:16:05,680 Speaker 1: up the president's speech. She you know, tore them one 261 00:16:05,720 --> 00:16:07,600 Speaker 1: by one by one, and you know, so they would 262 00:16:07,680 --> 00:16:10,040 Speaker 1: rip and she wouldn't look stupid trying to rip it 263 00:16:10,120 --> 00:16:14,200 Speaker 1: not being able to rip it. That's their timeline, you know. 264 00:16:14,360 --> 00:16:17,120 Speaker 1: Same with New York. Every New York political figure as 265 00:16:17,160 --> 00:16:20,400 Speaker 1: it relates to March, we're saying, oh, nothing to worry about. 266 00:16:20,440 --> 00:16:23,400 Speaker 1: They were prepared for nothing. You know, Mayor of New 267 00:16:23,480 --> 00:16:26,640 Speaker 1: York prepared for nothing. Doesn't even know who he sold 268 00:16:26,640 --> 00:16:29,720 Speaker 1: as ventilators too. I knew you're gonna tell New York 269 00:16:29,760 --> 00:16:32,200 Speaker 1: to drop that. He built you the biggest hospital in 270 00:16:32,240 --> 00:16:35,680 Speaker 1: the country and staffed it and even converted it to 271 00:16:35,760 --> 00:16:38,720 Speaker 1: COVID nineteen. And he did it in a week. To Blasio, 272 00:16:39,440 --> 00:16:41,960 Speaker 1: what the hell is wrong with this guy? And the 273 00:16:42,080 --> 00:16:45,400 Speaker 1: same with you know, the comfort that was sent that 274 00:16:45,480 --> 00:16:49,800 Speaker 1: was converted to COVID nineteen. You don't have ventilators. Don't worry. 275 00:16:49,880 --> 00:16:54,800 Speaker 1: Donald Trump bailed your sorry, pathetic, unprepared hide out. He's 276 00:16:54,800 --> 00:16:59,520 Speaker 1: gonna say, drop dead to New York. Unbelievable. And this 277 00:17:00,160 --> 00:17:03,400 Speaker 1: represents this is now, this is what they do. Oh, 278 00:17:03,440 --> 00:17:05,880 Speaker 1: the president's trying to open the country too early. He's 279 00:17:05,960 --> 00:17:11,480 Speaker 1: empowering governors to make decisions on the ground. He's spelled 280 00:17:11,480 --> 00:17:15,480 Speaker 1: out in specific detail that if you need fall short, 281 00:17:15,600 --> 00:17:18,760 Speaker 1: we'll try, we will help you. You know this. You know, 282 00:17:18,800 --> 00:17:21,240 Speaker 1: people say, well, where's the drive up testing? Okay, that 283 00:17:21,359 --> 00:17:25,159 Speaker 1: was twenty iterations ago. Drive up testing. Well, now we 284 00:17:25,200 --> 00:17:28,000 Speaker 1: have an antibody test. Now we have a five minute test, 285 00:17:28,040 --> 00:17:29,960 Speaker 1: a six hour test, a twenty four hour test, of 286 00:17:30,040 --> 00:17:33,200 Speaker 1: forty eight hour test. We got more testing coming online 287 00:17:33,200 --> 00:17:35,640 Speaker 1: than ever before, just like the ventilators are coming off 288 00:17:35,640 --> 00:17:38,639 Speaker 1: the GM assembly lines that he got up and running. 289 00:17:39,240 --> 00:17:42,040 Speaker 1: Just like the masks were there, the ventilators were there, 290 00:17:42,520 --> 00:17:47,440 Speaker 1: the gowns were there. Was everything perfect? Nope, But New 291 00:17:47,520 --> 00:17:51,480 Speaker 1: York would have been an unmitigated disaster but for the 292 00:17:51,520 --> 00:17:54,400 Speaker 1: President's actions on all of this. And they still politicize 293 00:17:54,560 --> 00:17:57,760 Speaker 1: pretty much everything that they do. Now they are working 294 00:17:57,760 --> 00:18:01,000 Speaker 1: with all the governors and no tree is tested more 295 00:18:01,040 --> 00:18:05,199 Speaker 1: than the United States by far millions more. As a 296 00:18:05,200 --> 00:18:06,800 Speaker 1: matter of fact that you look at most of these 297 00:18:06,800 --> 00:18:10,240 Speaker 1: other countries combined, we've done more than all of them combined. 298 00:18:10,640 --> 00:18:13,560 Speaker 1: They have prepared everything four Phase two. They're preparing for 299 00:18:13,640 --> 00:18:16,520 Speaker 1: all the testing they need. I saw a really cool thing, 300 00:18:16,920 --> 00:18:20,920 Speaker 1: sweet Baby James pulled out today and for big buildings 301 00:18:20,920 --> 00:18:24,240 Speaker 1: in New York, they can you can walk through a 302 00:18:24,359 --> 00:18:28,359 Speaker 1: non invasive entry point into any New York building if 303 00:18:28,400 --> 00:18:30,800 Speaker 1: they're willing to invest a little bit of money and 304 00:18:31,119 --> 00:18:35,800 Speaker 1: a non invasive instantaneous temperature check. Now it's pretty cool 305 00:18:36,000 --> 00:18:38,080 Speaker 1: you get that. You can open up these when you 306 00:18:38,119 --> 00:18:40,919 Speaker 1: open up New York City, I would still stay with 307 00:18:41,040 --> 00:18:43,679 Speaker 1: fifty percent of the workplace stay at home. Well, you 308 00:18:43,720 --> 00:18:47,560 Speaker 1: can use that new technology. Maybe the state can go 309 00:18:47,600 --> 00:18:49,440 Speaker 1: in and buy them. That would not be a bad 310 00:18:49,480 --> 00:18:52,760 Speaker 1: idea either, So that would help, I think in the 311 00:18:52,840 --> 00:18:58,840 Speaker 1: long run. So but you cannot. It's sad. It's all predictable. 312 00:18:58,880 --> 00:19:01,680 Speaker 1: But it's sad. This is just who Democrats are. This 313 00:19:02,520 --> 00:19:04,479 Speaker 1: is what they do. They've done this from the beginning. 314 00:19:04,520 --> 00:19:08,440 Speaker 1: They have played politics, politicized, weaponized a virus to bludgeon 315 00:19:08,440 --> 00:19:12,240 Speaker 1: the president, and none of them, Every Democrat and every 316 00:19:12,359 --> 00:19:16,240 Speaker 1: mob media person needs to be asked a single question 317 00:19:17,000 --> 00:19:21,439 Speaker 1: in retrospect, was the travel ban the president put in place? 318 00:19:22,400 --> 00:19:25,840 Speaker 1: Was that travel ban in retrospect the right thing to do? 319 00:19:26,520 --> 00:19:30,920 Speaker 1: Did it likely prevent thousands and thousands of Americans from 320 00:19:30,960 --> 00:19:35,360 Speaker 1: contracting the virus? Answer that question. Did it likely prevent 321 00:19:35,760 --> 00:19:39,720 Speaker 1: many many Americans from dying? Did it likely prevent this 322 00:19:39,800 --> 00:19:45,119 Speaker 1: from being exponentially worse? Now a lot of Democrats won't 323 00:19:45,160 --> 00:19:48,040 Speaker 1: be able to answer that question because they cannot get 324 00:19:48,080 --> 00:19:51,080 Speaker 1: over their hatred of this president. Now, there were some 325 00:19:51,119 --> 00:19:54,280 Speaker 1: people out there. I don't particularly buy the herd argument. 326 00:19:54,280 --> 00:19:56,280 Speaker 1: I read a lot about it, and many have looked 327 00:19:56,280 --> 00:19:59,960 Speaker 1: to the country of Sweden. They avoided a national Corona 328 00:20:00,160 --> 00:20:03,480 Speaker 1: virus lockdown. Like for example, I think that Governor CHRISTI Noman, 329 00:20:03,520 --> 00:20:06,720 Speaker 1: her state of South Dakota, made a really good decision 330 00:20:06,800 --> 00:20:11,080 Speaker 1: for South Dakota because obviously have a large geographic area, 331 00:20:12,119 --> 00:20:15,480 Speaker 1: you have built in social distancing. She appealed to South 332 00:20:15,560 --> 00:20:21,760 Speaker 1: Dakota's to look out for their neighbors, be responsible, stay distant, 333 00:20:22,000 --> 00:20:25,359 Speaker 1: take precautions, and the people buy and large in South 334 00:20:25,440 --> 00:20:28,000 Speaker 1: Dakota did a great job. They had one outbreak about 335 00:20:28,040 --> 00:20:32,119 Speaker 1: eight hundred people in a pork processing plant, which is sad. 336 00:20:32,160 --> 00:20:35,120 Speaker 1: It's one of those situations where people are in particular 337 00:20:35,240 --> 00:20:40,000 Speaker 1: close contact. Everybody seems to forget in this argument about 338 00:20:40,040 --> 00:20:43,720 Speaker 1: staying home. Nancy Pelosi's ice cream chest design, her ice 339 00:20:43,760 --> 00:20:49,760 Speaker 1: cream chest in her gated mansion in San Francisco, with 340 00:20:49,880 --> 00:20:51,560 Speaker 1: all the ice cream, Well, the ice cream wouldn't be 341 00:20:51,640 --> 00:20:54,480 Speaker 1: there if they weren't people producing and manufacturing the ice cream. 342 00:20:55,320 --> 00:20:58,680 Speaker 1: All these people that kept building the equipment that was 343 00:20:58,800 --> 00:21:02,200 Speaker 1: needed in New York and New Jersey and Connecticut in 344 00:21:02,280 --> 00:21:06,040 Speaker 1: other areas where there was a significant outbreak. Yeah, they 345 00:21:06,040 --> 00:21:08,119 Speaker 1: wouldn't have had any of that equipment if we shut 346 00:21:08,119 --> 00:21:11,320 Speaker 1: down those manufacturing plans. But people bravely went to work 347 00:21:11,359 --> 00:21:14,040 Speaker 1: there every day to help protect the people on the 348 00:21:14,080 --> 00:21:18,000 Speaker 1: front lines fighting this invisible enemy. The reason your store 349 00:21:18,040 --> 00:21:21,440 Speaker 1: shelves are filled because people kept working. Truckers kept trucking, 350 00:21:21,440 --> 00:21:27,680 Speaker 1: farmers kept farming, and packers kept packing. It's unbelievable. Everyone 351 00:21:27,760 --> 00:21:30,560 Speaker 1: wants everything at the snap of a finger. It doesn't 352 00:21:30,560 --> 00:21:33,879 Speaker 1: work that way, but we still got it done in 353 00:21:33,960 --> 00:21:37,680 Speaker 1: the end. I wouldn't recommend states doing this in the future. 354 00:21:38,280 --> 00:21:41,960 Speaker 1: I think New York City, especially, you better take very 355 00:21:42,040 --> 00:21:45,720 Speaker 1: big stock of what could have happened here if your 356 00:21:45,800 --> 00:21:48,840 Speaker 1: federal government didn't step in and do what you should 357 00:21:48,880 --> 00:21:53,160 Speaker 1: have been preparing for, Mayor Dublasio, and that is this 358 00:21:53,320 --> 00:21:58,080 Speaker 1: is yup ground zero. Yep. The first trade center attack 359 00:21:58,280 --> 00:22:01,359 Speaker 1: was right in your city, mister man, the Royal Trade 360 00:22:01,359 --> 00:22:04,840 Speaker 1: Center hit and collapsing both buildings nine to eleven. That's 361 00:22:04,880 --> 00:22:08,640 Speaker 1: your city. You are one of the top terror targets 362 00:22:08,760 --> 00:22:11,919 Speaker 1: in the entire world, never mind the US. Now, if 363 00:22:11,960 --> 00:22:14,680 Speaker 1: you have a pandemic, not that hard to figure out. 364 00:22:14,720 --> 00:22:19,760 Speaker 1: As your very office was warned about in New York 365 00:22:19,800 --> 00:22:23,240 Speaker 1: City that you'd need ten thousand ventilators peak week, you 366 00:22:23,280 --> 00:22:26,560 Speaker 1: had none. You had zero. The only ventilators in New 367 00:22:26,600 --> 00:22:29,160 Speaker 1: York City were in the hospitals that they had in 368 00:22:29,240 --> 00:22:34,160 Speaker 1: stock and ready. Some hospitals did prepare for emergencies, others 369 00:22:34,200 --> 00:22:37,360 Speaker 1: did not, So we had we had to start at 370 00:22:37,359 --> 00:22:41,000 Speaker 1: the basics. And again, you know, the President's the one 371 00:22:41,119 --> 00:22:43,760 Speaker 1: that was able to organize all of this and make 372 00:22:43,800 --> 00:22:46,960 Speaker 1: sure every need was taken care of it. It is 373 00:22:47,040 --> 00:22:50,240 Speaker 1: not an easy lift, and a lot could have gone 374 00:22:50,240 --> 00:22:52,520 Speaker 1: wrong that didn't go wrong, and a lot went right, 375 00:22:52,640 --> 00:22:54,640 Speaker 1: more than I would have thought could go right. Anyway, 376 00:22:54,920 --> 00:22:58,280 Speaker 1: there's this company called brick House Security. I haven't tested 377 00:22:58,320 --> 00:23:00,840 Speaker 1: and I'm just looking at it. And you know those 378 00:23:00,920 --> 00:23:03,960 Speaker 1: like when you're going through security and many building in 379 00:23:04,000 --> 00:23:07,040 Speaker 1: New York. If how do I explain maybe similar to 380 00:23:07,920 --> 00:23:12,200 Speaker 1: like going into a turnstyle without the turnstyle. This could 381 00:23:12,240 --> 00:23:15,600 Speaker 1: be really big for opening up Major League Baseball, and 382 00:23:15,600 --> 00:23:17,320 Speaker 1: this could be important I think for the NFL. I 383 00:23:17,359 --> 00:23:19,200 Speaker 1: want to see the NFL up and running this year 384 00:23:19,640 --> 00:23:24,040 Speaker 1: wherever possible. Again, I can't make those decisions. I can 385 00:23:24,080 --> 00:23:27,520 Speaker 1: only say that I think the American people they would support. 386 00:23:27,720 --> 00:23:30,639 Speaker 1: I think most Americans if there's some rules, if they 387 00:23:30,680 --> 00:23:32,920 Speaker 1: have to go through this device that they have. Linda, 388 00:23:32,920 --> 00:23:35,080 Speaker 1: did you see this pretty cool? Yeah? I mean it's 389 00:23:35,080 --> 00:23:38,000 Speaker 1: like all these innovations are amazing. Yeah, it detects you 390 00:23:38,040 --> 00:23:41,919 Speaker 1: walk through, It detects the body's temperature, no contact, and 391 00:23:42,040 --> 00:23:44,520 Speaker 1: you could do a ton of people at once. You 392 00:23:44,640 --> 00:23:46,679 Speaker 1: go through, you go through, you go through, you go through, 393 00:23:46,760 --> 00:23:48,960 Speaker 1: you go through. I mean, it's amazing. Now they do 394 00:23:49,000 --> 00:23:52,520 Speaker 1: have facial recognition to identify anyone with an elevated temperature. 395 00:23:52,600 --> 00:23:56,120 Speaker 1: That part I don't like. You got to maintain medical privacy. Now, 396 00:23:56,520 --> 00:23:59,840 Speaker 1: if somebody, let's say shows up hot. You know, you 397 00:24:00,080 --> 00:24:03,000 Speaker 1: walk over, you don't ask their name, You just pull 398 00:24:03,080 --> 00:24:06,639 Speaker 1: him aside, say, listen, you have a high temperature. Here's 399 00:24:06,640 --> 00:24:10,679 Speaker 1: our recommendations. Go to your doctor, get tested. Here's what 400 00:24:10,800 --> 00:24:13,639 Speaker 1: contact tracing means. Here's how to protect yourself. If you're 401 00:24:13,640 --> 00:24:15,760 Speaker 1: going to be around your family until you get your result, 402 00:24:15,800 --> 00:24:18,280 Speaker 1: hopefully negative, we're not going to be able to let 403 00:24:18,280 --> 00:24:20,399 Speaker 1: you into the game. But here's what we're gonna do. 404 00:24:20,640 --> 00:24:22,960 Speaker 1: We'll take your tickets. We're gonna give you better tickets 405 00:24:22,960 --> 00:24:25,840 Speaker 1: the next time you come. I guarantee you the NFL 406 00:24:25,920 --> 00:24:27,919 Speaker 1: would do that, and I guarantee you Major League Baseball 407 00:24:27,960 --> 00:24:31,080 Speaker 1: would do that guaranteed. And then look, they'll pay the 408 00:24:31,160 --> 00:24:33,359 Speaker 1: money for these things to make it go more quickly. 409 00:24:33,440 --> 00:24:35,560 Speaker 1: But it was pretty cool, just like you know, I 410 00:24:35,600 --> 00:24:38,280 Speaker 1: look at all the avid testing going on as well. 411 00:24:39,720 --> 00:24:43,440 Speaker 1: Fauci is on record now saying, yeah, it's possible baseball 412 00:24:43,560 --> 00:24:46,919 Speaker 1: could be played with fans in the stands. And I 413 00:24:46,920 --> 00:24:50,080 Speaker 1: think that's true too, he said, just he said, don't 414 00:24:50,119 --> 00:24:52,960 Speaker 1: bet on it yet, but he did say, yes, it's possible. 415 00:24:52,960 --> 00:24:55,879 Speaker 1: He did an interview on Yes Networks with Jack Curry 416 00:24:55,960 --> 00:25:00,639 Speaker 1: yesterday reiterating MLB's idea of having a shortened season games 417 00:25:00,680 --> 00:25:03,280 Speaker 1: played in you know, maybe a one or a handful 418 00:25:03,280 --> 00:25:05,639 Speaker 1: of seasons cities. I don't know if you can do 419 00:25:05,680 --> 00:25:07,480 Speaker 1: it in indoor stadiums yet, but they're gonna have to 420 00:25:07,520 --> 00:25:10,720 Speaker 1: figure out where and when. You know. Again, governors, you're 421 00:25:10,720 --> 00:25:13,480 Speaker 1: elected to do a job. Also, you're the chief executive 422 00:25:13,480 --> 00:25:15,119 Speaker 1: of your state. Get off your ass and do some 423 00:25:15,200 --> 00:25:19,600 Speaker 1: mark Georgia, Tennessee announcing their plans to reopen beaches now 424 00:25:19,680 --> 00:25:22,879 Speaker 1: open in Florida. But from the images that I've been seeing, 425 00:25:22,920 --> 00:25:26,200 Speaker 1: people are still kind of social distancing. I think some people, 426 00:25:26,240 --> 00:25:30,680 Speaker 1: younger people who are playing volleyball. Maybe not the best idea, 427 00:25:31,560 --> 00:25:34,640 Speaker 1: but across the oh, hang on a second, I'm being 428 00:25:34,680 --> 00:25:37,000 Speaker 1: given a text here. Why are you texting me in 429 00:25:37,040 --> 00:25:41,119 Speaker 1: the middle of my show? Let's see? Yeah, I know, 430 00:25:41,320 --> 00:25:44,280 Speaker 1: I know. And all of these things are going to 431 00:25:44,359 --> 00:25:47,840 Speaker 1: depend on, you know, just a short term acceptance of 432 00:25:47,880 --> 00:25:51,440 Speaker 1: a new normal. The temperature, checks, the mass, the gloves, 433 00:25:51,960 --> 00:25:56,040 Speaker 1: you know, more teleworking, tele medicine. It's it's gonna be 434 00:25:56,080 --> 00:25:58,440 Speaker 1: ways in the future that we're going to get better healthcare, 435 00:25:58,640 --> 00:26:02,920 Speaker 1: better work conditions than we ever thought. I think people 436 00:26:02,920 --> 00:26:05,560 Speaker 1: are going to realize, hey, this works. By the way, 437 00:26:05,560 --> 00:26:08,840 Speaker 1: Tyler Merritt is with us and he and his group 438 00:26:08,840 --> 00:26:11,520 Speaker 1: at nine Line, they have been doing a whole big 439 00:26:11,560 --> 00:26:14,200 Speaker 1: mask project. How are you sorry? I heard you gonna 440 00:26:14,200 --> 00:26:17,520 Speaker 1: have millions of them? Yeah, doing pretty good, Sean. It's 441 00:26:17,520 --> 00:26:20,480 Speaker 1: been a head dick a couple of weeks when California 442 00:26:20,520 --> 00:26:23,080 Speaker 1: has shut down all of their businesses, they shut down 443 00:26:23,680 --> 00:26:27,160 Speaker 1: our partners at Billa Canvas is the largest US made 444 00:26:27,240 --> 00:26:31,040 Speaker 1: manufacture of apparel, gets the same shirts that your products 445 00:26:31,080 --> 00:26:34,199 Speaker 1: are pretty You have the Mask for Heroes initiative, and 446 00:26:34,240 --> 00:26:36,960 Speaker 1: you're going to donate these protective masks for people in 447 00:26:37,200 --> 00:26:42,880 Speaker 1: the healthcare industry, first responders, military community, and elsewhere. Yeah. 448 00:26:42,960 --> 00:26:46,840 Speaker 1: We partnered with the leading engineers and aerospace of Detroit 449 00:26:46,960 --> 00:26:51,119 Speaker 1: RCIO Engineering, as well as a bunch of incredible scientists 450 00:26:51,160 --> 00:26:53,919 Speaker 1: and doctors from around the country to come up with 451 00:26:54,040 --> 00:26:57,560 Speaker 1: a USA made and ninety five variant. Now we can't 452 00:26:57,640 --> 00:26:59,880 Speaker 1: say that just yet because we are in the process 453 00:27:00,000 --> 00:27:04,840 Speaker 1: of applying for accelerated FDA approval. But we're going through 454 00:27:04,880 --> 00:27:08,280 Speaker 1: the testing, We're going through the litany of paperwork to 455 00:27:08,359 --> 00:27:11,160 Speaker 1: get this fast track. Right now, I have the product 456 00:27:11,160 --> 00:27:14,600 Speaker 1: available and I'm giving the first thousand away to our 457 00:27:14,640 --> 00:27:17,320 Speaker 1: first responders, military members, and doctors who are coming to 458 00:27:17,359 --> 00:27:19,960 Speaker 1: me saying, hey, I will sign indemnity waivers. I understand 459 00:27:20,000 --> 00:27:22,879 Speaker 1: that my hospital group won't allow us to purchase this 460 00:27:22,960 --> 00:27:25,320 Speaker 1: for insurance purposes. I understand that I can't get it 461 00:27:25,359 --> 00:27:28,080 Speaker 1: to the military members for those same reasons. But the 462 00:27:28,119 --> 00:27:30,960 Speaker 1: individuals are coming and saying I need it, I'm going without. 463 00:27:31,520 --> 00:27:34,919 Speaker 1: So we've put an incredible amount of time, money, and 464 00:27:34,920 --> 00:27:37,520 Speaker 1: effort to get these products to people like my mother 465 00:27:37,600 --> 00:27:39,639 Speaker 1: who's on the front lines of the northeast of the 466 00:27:39,720 --> 00:27:43,399 Speaker 1: nurse and my father who is a cancer survivor. And 467 00:27:43,440 --> 00:27:46,840 Speaker 1: it's the first step to get us back to work 468 00:27:46,920 --> 00:27:50,439 Speaker 1: because people right now they're still concerned, and if this 469 00:27:50,520 --> 00:27:52,600 Speaker 1: gives them that sense of security and they're willing to 470 00:27:52,640 --> 00:27:54,560 Speaker 1: go back to work so that we can get on 471 00:27:54,640 --> 00:27:56,639 Speaker 1: with this, then that's what we need to do. And 472 00:27:56,720 --> 00:28:00,239 Speaker 1: we need to remember that we outsourced our ppe. We 473 00:28:00,280 --> 00:28:05,199 Speaker 1: outsourced are essentially our national security to China, to the 474 00:28:05,240 --> 00:28:08,959 Speaker 1: companies like three M and they're they're bad actors. You know, 475 00:28:09,359 --> 00:28:12,840 Speaker 1: they control the supply in a time when the demand 476 00:28:13,600 --> 00:28:16,760 Speaker 1: was skyrocketing and they took advantage. And right now I 477 00:28:16,760 --> 00:28:19,800 Speaker 1: can make these products cheaper, faster, better in the United 478 00:28:19,840 --> 00:28:23,560 Speaker 1: States with our partners. Listen, I think it's great. It's 479 00:28:23,600 --> 00:28:26,560 Speaker 1: amazing to me to watch this mobilization of people and 480 00:28:26,640 --> 00:28:29,800 Speaker 1: the creativity of the American people, you know. One of 481 00:28:29,840 --> 00:28:33,040 Speaker 1: the great things about I think the new normal and 482 00:28:33,560 --> 00:28:36,680 Speaker 1: rewriting these books on how to deal with future pandemics. 483 00:28:36,720 --> 00:28:39,760 Speaker 1: I don't think Tyler people are going to be questioning 484 00:28:39,840 --> 00:28:42,640 Speaker 1: travel bans anymore. I didn't even see a whole lot 485 00:28:42,680 --> 00:28:46,000 Speaker 1: of criticism of the President, you know, and as executive order, 486 00:28:46,040 --> 00:28:48,560 Speaker 1: which I mentioned at the top of the show, which is, yeah, 487 00:28:48,640 --> 00:28:51,920 Speaker 1: for the time being, we are shutting our borders down. 488 00:28:52,480 --> 00:28:57,080 Speaker 1: Usually we would have the predictable xenophobic, racist garbage. But 489 00:28:57,160 --> 00:29:02,600 Speaker 1: the innovation of America's entrepreneurial spirit and industry and the 490 00:29:02,600 --> 00:29:05,640 Speaker 1: ability of GM and Ford and our labs and our 491 00:29:05,640 --> 00:29:08,760 Speaker 1: pharmaceuticals and big box stores and people like yourself. I mean, 492 00:29:08,800 --> 00:29:11,480 Speaker 1: it's been unbelievable to watch people change on a dime 493 00:29:12,200 --> 00:29:15,800 Speaker 1: and do it successfully. Well, it's worth time. Yeah, I know. 494 00:29:16,280 --> 00:29:18,800 Speaker 1: I've been to Ward a dozen times with different countries, 495 00:29:18,800 --> 00:29:21,280 Speaker 1: and this is economic warfare, this is biological wor if 496 00:29:21,200 --> 00:29:23,640 Speaker 1: I don't care what you want to call it, but 497 00:29:23,800 --> 00:29:27,840 Speaker 1: we need to learn from it. There are incredibly amazing 498 00:29:27,920 --> 00:29:31,280 Speaker 1: politicians out there, and there's leaders out there like our 499 00:29:31,320 --> 00:29:34,560 Speaker 1: President that are taking proactive measures with the information he's 500 00:29:34,600 --> 00:29:37,800 Speaker 1: given at that time. So people like to armshare quarterback, 501 00:29:38,120 --> 00:29:40,600 Speaker 1: but he is a businessman and he is trying to 502 00:29:40,640 --> 00:29:44,800 Speaker 1: protect us. There's others. I'm working with Senator Perdue, another 503 00:29:44,920 --> 00:29:49,120 Speaker 1: incredible businessman who is leading the fight with trying to 504 00:29:49,160 --> 00:29:52,120 Speaker 1: get us back to work. And there's just a lot 505 00:29:52,160 --> 00:29:55,200 Speaker 1: of individuals out there that are either not educated, or 506 00:29:55,240 --> 00:29:58,680 Speaker 1: they're not business people, or they're not here's my advice 507 00:29:58,720 --> 00:30:03,280 Speaker 1: to people as we begin open up, stop, you know, choose. 508 00:30:03,800 --> 00:30:07,560 Speaker 1: I'm making a decision personally. I don't care what the 509 00:30:07,640 --> 00:30:12,240 Speaker 1: law is that for the health safety security of others 510 00:30:12,280 --> 00:30:14,040 Speaker 1: that I'll wear the mask if I'm gonna wear it 511 00:30:14,040 --> 00:30:17,160 Speaker 1: for myself, No, I really am not, That's my honest answer. 512 00:30:17,560 --> 00:30:19,920 Speaker 1: But I'll wear it because I don't want I'm a 513 00:30:19,920 --> 00:30:22,080 Speaker 1: pretty healthy person. I'm in the best shape of my life. 514 00:30:22,120 --> 00:30:24,680 Speaker 1: This virus is pretty tough, though, but I think i'd 515 00:30:24,680 --> 00:30:26,880 Speaker 1: be fine, that's my guess. But I don't want to 516 00:30:26,880 --> 00:30:30,200 Speaker 1: infect other people. I don't I would not want to 517 00:30:30,240 --> 00:30:33,120 Speaker 1: live with knowing I infected other people. I wouldn't want that. 518 00:30:33,520 --> 00:30:36,400 Speaker 1: So that's why you know, we can choose to do it. 519 00:30:36,400 --> 00:30:38,600 Speaker 1: If you're gonna keep distances, choose to do it. I 520 00:30:38,680 --> 00:30:41,520 Speaker 1: made a choice to make sure that my stabs are 521 00:30:41,640 --> 00:30:45,080 Speaker 1: distant and have masks. Anyway, you can get all of 522 00:30:45,120 --> 00:30:47,880 Speaker 1: this where can people see what you're doing on nineline 523 00:30:48,840 --> 00:30:50,760 Speaker 1: Yeah nine unfail dot com. And then we've built a 524 00:30:50,800 --> 00:30:53,000 Speaker 1: site called Ninline Mask that has all of our research. 525 00:30:53,080 --> 00:30:54,880 Speaker 1: But you hit the nail on the head that you 526 00:30:54,920 --> 00:30:57,040 Speaker 1: and I are both healthy humans. If we didn't care 527 00:30:57,040 --> 00:30:59,600 Speaker 1: about our loved ones like my father who just recently 528 00:30:59,600 --> 00:31:02,840 Speaker 1: survived cancer, this would be left an issue. But you have. 529 00:31:03,160 --> 00:31:04,800 Speaker 1: That's why you know. I said I'd wear it at 530 00:31:04,800 --> 00:31:08,520 Speaker 1: a football game, and I'd wear it at a baseball game. Absolutely. 531 00:31:08,560 --> 00:31:10,960 Speaker 1: All right, Thanks Tyler, appreciate it. A glad you with 532 00:31:11,040 --> 00:31:14,160 Speaker 1: us our two Sean Hannity Show toll free. It is 533 00:31:14,240 --> 00:31:16,400 Speaker 1: eight hundred and nine four one Sean if you want 534 00:31:16,400 --> 00:31:18,280 Speaker 1: to be a part of the program. All right. Looking 535 00:31:18,320 --> 00:31:21,680 Speaker 1: to the answers, how we can safely open the country, 536 00:31:22,320 --> 00:31:26,160 Speaker 1: different challenges different states. Some states now are beginning the 537 00:31:26,200 --> 00:31:30,040 Speaker 1: process of slowly opening and doing it safely. I know 538 00:31:30,200 --> 00:31:32,480 Speaker 1: some governors have gone a little bit too far. New 539 00:31:32,560 --> 00:31:36,960 Speaker 1: York is going to allow elective outpatient treatment in some areas, 540 00:31:37,720 --> 00:31:39,320 Speaker 1: which is good. There have been people that have been 541 00:31:39,360 --> 00:31:43,920 Speaker 1: putting off needed operations, but not emergency operations for quite 542 00:31:43,920 --> 00:31:46,520 Speaker 1: a while, and so that's the beginning of opening for 543 00:31:46,560 --> 00:31:50,920 Speaker 1: their Doctor Fauci saying it is possible to maybe open 544 00:31:51,040 --> 00:31:55,200 Speaker 1: up the baseball season and with people in the stands, 545 00:31:55,240 --> 00:31:56,640 Speaker 1: but it's got to be done the right way. It's 546 00:31:56,640 --> 00:31:59,800 Speaker 1: got to be done safely, and like doctor ros has been, 547 00:32:00,080 --> 00:32:02,400 Speaker 1: and maybe we try it in areas that are less 548 00:32:02,440 --> 00:32:05,760 Speaker 1: impacted by the virus. Uh. Doctor Oz joins us. Now, 549 00:32:06,760 --> 00:32:09,320 Speaker 1: by the way, we keep getting new updates on testing, 550 00:32:10,040 --> 00:32:13,000 Speaker 1: and I was mentioning earlier in the program, there's a 551 00:32:13,000 --> 00:32:16,400 Speaker 1: company that we found that actually produces like if you 552 00:32:16,480 --> 00:32:19,920 Speaker 1: have a turnstile, they take the temperature of people, which 553 00:32:19,920 --> 00:32:22,600 Speaker 1: I think could be used by MLB and the NFL, 554 00:32:23,600 --> 00:32:26,040 Speaker 1: and I think the NFL and Major League Baseball would 555 00:32:26,080 --> 00:32:28,600 Speaker 1: go all in to make it really easy to get 556 00:32:28,600 --> 00:32:32,960 Speaker 1: a lot of people's temperatures checked very quickly and very 557 00:32:33,000 --> 00:32:35,440 Speaker 1: you know, in a way that's not totally inconvenient for people. 558 00:32:37,000 --> 00:32:40,760 Speaker 1: I agree it's a It's an opportunity for a country 559 00:32:40,720 --> 00:32:42,480 Speaker 1: to figure out better ways of doing what we uhould 560 00:32:42,480 --> 00:32:44,520 Speaker 1: do without thinking much about it. But I think it's 561 00:32:44,560 --> 00:32:48,640 Speaker 1: also a wake up call that shows that you know, 562 00:32:48,640 --> 00:32:51,360 Speaker 1: the things we took for granted, and a lot of 563 00:32:51,400 --> 00:32:54,000 Speaker 1: this has to do with the general public health infrastructure 564 00:32:54,000 --> 00:32:56,160 Speaker 1: of the country are things we could do better and 565 00:32:56,160 --> 00:32:59,520 Speaker 1: why not learn from this? I mean, moving pon COVID 566 00:32:59,600 --> 00:33:01,640 Speaker 1: nineteen one day we will hopefully be able to do. 567 00:33:01,720 --> 00:33:03,920 Speaker 1: How about just a basic influenza. We don't have a 568 00:33:03,960 --> 00:33:07,280 Speaker 1: lot of vaccines to illnesses that hurt folks that we 569 00:33:07,280 --> 00:33:09,640 Speaker 1: don't even talk about. We have some vaccines that a 570 00:33:09,720 --> 00:33:11,760 Speaker 1: lot of times aren't taken even but some of the 571 00:33:11,800 --> 00:33:15,480 Speaker 1: basic infrastructure of living in crowded urban areas requires us 572 00:33:15,480 --> 00:33:17,920 Speaker 1: to be thoughtful about these things. Interestingly, Asian countries have 573 00:33:17,960 --> 00:33:20,719 Speaker 1: been hurt by this more in the past, so in 574 00:33:20,760 --> 00:33:23,160 Speaker 1: many ways they've been more attentive to these issues that 575 00:33:23,680 --> 00:33:25,479 Speaker 1: could have helped us in this crisis and hopefully will 576 00:33:25,480 --> 00:33:28,560 Speaker 1: prevent future ones. What do you how do you feel 577 00:33:28,640 --> 00:33:31,720 Speaker 1: now about the treatments? For example, I'm reading more and 578 00:33:31,800 --> 00:33:34,960 Speaker 1: more about remdissm here. You know, it's funny. I got 579 00:33:35,000 --> 00:33:37,760 Speaker 1: an interesting call from a friend of mine earlier today 580 00:33:38,240 --> 00:33:41,800 Speaker 1: and said, you know, very cynical. Friend. One of the 581 00:33:41,840 --> 00:33:45,200 Speaker 1: reasons people are pushing rend disappear over something like hydroxy 582 00:33:45,280 --> 00:33:49,600 Speaker 1: chloroquin is probably because you can't make money on hydroxy chloroquin. Obviously, 583 00:33:49,600 --> 00:33:52,560 Speaker 1: it's a sixty five year old drug and it costs 584 00:33:52,560 --> 00:33:56,000 Speaker 1: pennies now to make and to sell. And when disappear, 585 00:33:56,080 --> 00:33:59,640 Speaker 1: I guess is I guess still in a stage where 586 00:33:59,760 --> 00:34:02,480 Speaker 1: find Angeally, people may not understand the whole process of 587 00:34:03,680 --> 00:34:06,800 Speaker 1: FDA approval for medicines. It takes a long time. You 588 00:34:06,880 --> 00:34:11,040 Speaker 1: only have a window of time where you have exclusivity 589 00:34:11,040 --> 00:34:15,239 Speaker 1: in terms of production. Then the generics come online and 590 00:34:15,800 --> 00:34:19,680 Speaker 1: over time it becomes something you don't make any money on. Basically, 591 00:34:19,880 --> 00:34:22,800 Speaker 1: we're all rooting to find a solution to COVID nineteen. 592 00:34:22,800 --> 00:34:24,520 Speaker 1: I fact, they don't care where it comes from because 593 00:34:24,480 --> 00:34:28,520 Speaker 1: it's an old, repurposed drug. Hydroxythoroquine is just one of 594 00:34:28,560 --> 00:34:31,000 Speaker 1: many that are being tried now. There's their drugs that 595 00:34:31,040 --> 00:34:33,120 Speaker 1: are destroyed, the use for gut that might be beneficial. 596 00:34:33,160 --> 00:34:35,480 Speaker 1: They're drugs they're used for reflux that might be beneficial 597 00:34:35,560 --> 00:34:38,000 Speaker 1: so there's a lot of folks out there with good 598 00:34:38,040 --> 00:34:41,200 Speaker 1: ideas with laboratory data showing that they may be beneficial, 599 00:34:41,239 --> 00:34:42,800 Speaker 1: but we got to sort of move it into people. 600 00:34:42,840 --> 00:34:46,040 Speaker 1: That's why supporting these randomized trials is wise. We'll figure 601 00:34:46,040 --> 00:34:47,880 Speaker 1: this out. I just want to do as quickly as possible. 602 00:34:48,040 --> 00:34:51,440 Speaker 1: It from Desiviere is effective and it works differently. Obviously 603 00:34:51,440 --> 00:34:54,040 Speaker 1: it's sooner. It's very specifically known to inhibit the ability 604 00:34:54,120 --> 00:34:57,080 Speaker 1: viruses they replicate and designed for another virus, which is 605 00:34:57,080 --> 00:35:00,480 Speaker 1: why even exists. Then I hope it works, but we 606 00:35:00,560 --> 00:35:02,759 Speaker 1: need to have the randomized trial. The problem is that 607 00:35:02,800 --> 00:35:06,000 Speaker 1: you can take data from just looking at what happened 608 00:35:06,000 --> 00:35:09,279 Speaker 1: to people who are treated, and depending on biases you 609 00:35:09,280 --> 00:35:12,239 Speaker 1: can have been identify sub skew the data one way 610 00:35:12,280 --> 00:35:15,040 Speaker 1: or the other, which means you might lose opportunities to 611 00:35:15,040 --> 00:35:17,680 Speaker 1: treat people, or I think you have opportunities that don't 612 00:35:17,800 --> 00:35:20,719 Speaker 1: exist or missopportunities. And I think all that's part of 613 00:35:20,719 --> 00:35:22,919 Speaker 1: the equation here and everyone desperately trying to collect data. 614 00:35:23,000 --> 00:35:25,399 Speaker 1: My personal perspective is released all the data you can, 615 00:35:25,440 --> 00:35:27,480 Speaker 1: because that way people can start to look through it 616 00:35:27,520 --> 00:35:29,680 Speaker 1: and say, you don't I just notice something Hey, maybe 617 00:35:29,680 --> 00:35:31,600 Speaker 1: it works this way not that way. But at the 618 00:35:31,640 --> 00:35:34,400 Speaker 1: same time, we have to be a little poker faced 619 00:35:34,760 --> 00:35:37,640 Speaker 1: until we find things that we really know are beneficial. 620 00:35:37,680 --> 00:35:40,880 Speaker 1: And these clinical trials that are ongoing for all the 621 00:35:40,920 --> 00:35:44,480 Speaker 1: medications that you know that that are we're promising we'll 622 00:35:44,520 --> 00:35:46,200 Speaker 1: shed light on this, and thankfully that's one thing we're 623 00:35:46,239 --> 00:35:50,200 Speaker 1: good at as nation's clinical trials. And there's a resistance 624 00:35:50,239 --> 00:35:52,920 Speaker 1: among some in the country. And I think in part, 625 00:35:53,040 --> 00:35:55,800 Speaker 1: I mean there are some really stupid rules that have 626 00:35:55,840 --> 00:35:57,840 Speaker 1: been put in place by some of the states. I 627 00:35:57,840 --> 00:36:01,960 Speaker 1: won't go over the list, just things that are are 628 00:36:02,080 --> 00:36:06,480 Speaker 1: not helpful at all. And I think that for example, 629 00:36:06,520 --> 00:36:09,560 Speaker 1: New York actually came up with a fairly good plan 630 00:36:09,719 --> 00:36:12,239 Speaker 1: about wearing masks, and that is that if you're not 631 00:36:12,320 --> 00:36:16,040 Speaker 1: socially distanced, put your mask off, and then there's no order, 632 00:36:16,080 --> 00:36:20,880 Speaker 1: there's no penalty for somebody that doesn't. You know, I 633 00:36:21,320 --> 00:36:24,480 Speaker 1: understand that there's nobody that's more of a civil libertarian 634 00:36:24,480 --> 00:36:28,120 Speaker 1: than I am. Nobody that believes in medical privacy more 635 00:36:28,120 --> 00:36:30,960 Speaker 1: than I do, or our constitution more than I do. 636 00:36:31,800 --> 00:36:35,600 Speaker 1: I understand when people do go overboard, or states become 637 00:36:35,719 --> 00:36:39,279 Speaker 1: so restrictive that there is a backlash. I understand the 638 00:36:39,360 --> 00:36:41,600 Speaker 1: desire of everybody to get back to work. I don't 639 00:36:41,719 --> 00:36:46,360 Speaker 1: understand why some people don't see the importance for other people, 640 00:36:46,440 --> 00:36:51,080 Speaker 1: not for yourself, but for other people. That you're wearing 641 00:36:51,120 --> 00:36:55,560 Speaker 1: a mask or you're wearing gloves. It's not about necessarily 642 00:36:55,560 --> 00:36:58,960 Speaker 1: even yourself as much as it is about not infecting 643 00:36:59,000 --> 00:37:01,480 Speaker 1: people that would be more vulnerable if they got this thing, 644 00:37:01,520 --> 00:37:04,480 Speaker 1: which you and I both know. If you're vulnerable and 645 00:37:04,560 --> 00:37:08,439 Speaker 1: this thing gets ahold of you, it ravages you. It's 646 00:37:08,440 --> 00:37:11,000 Speaker 1: a bad virus, and folks that I trust have called 647 00:37:11,000 --> 00:37:13,480 Speaker 1: it the most infectious virus they have personally worked with. 648 00:37:13,760 --> 00:37:17,160 Speaker 1: I mean, smallpox is probably worse, but this thing is 649 00:37:17,200 --> 00:37:20,520 Speaker 1: really bad being infectious. Now here's the catch, as you 650 00:37:20,520 --> 00:37:22,440 Speaker 1: point out, and this is the big person I've made 651 00:37:23,000 --> 00:37:26,680 Speaker 1: this week. When the White House Task Force CDC put 652 00:37:26,719 --> 00:37:29,720 Speaker 1: out at the guidelines the three phases, the part equation 653 00:37:29,760 --> 00:37:31,720 Speaker 1: that a lot of people missed was that the sixty 654 00:37:31,719 --> 00:37:36,359 Speaker 1: percent of the American public who has pre existing core 655 00:37:36,400 --> 00:37:40,360 Speaker 1: morbidities like high blood pressure, obesity, and hypertension, they're not 656 00:37:40,400 --> 00:37:43,680 Speaker 1: allowed to leave. They don't get to go anywhere. And 657 00:37:43,719 --> 00:37:46,120 Speaker 1: so for Phase one and Phase two, they're limited, So 658 00:37:46,320 --> 00:37:48,799 Speaker 1: there's an opportunity here for people to at least take 659 00:37:48,880 --> 00:37:50,759 Speaker 1: charge of their own health. I've rot close to the 660 00:37:50,760 --> 00:37:55,200 Speaker 1: piece today called vulnerable vulnerability to vitality, right, So you're 661 00:37:55,200 --> 00:37:58,520 Speaker 1: moving from vulnerable to being vital by starting to take 662 00:37:58,520 --> 00:38:00,520 Speaker 1: control of as man Tho's respect is, as you can. 663 00:38:00,920 --> 00:38:02,920 Speaker 1: And I think that's a plea we can all make 664 00:38:02,960 --> 00:38:05,279 Speaker 1: and say, listen, the most patriotic thing you can do 665 00:38:05,360 --> 00:38:07,960 Speaker 1: and the most empowering thing you can do while the 666 00:38:07,960 --> 00:38:10,759 Speaker 1: world's falling apart around you, is to make sure that 667 00:38:10,800 --> 00:38:12,839 Speaker 1: you're doing everything you can for yourself because it's going 668 00:38:12,840 --> 00:38:15,359 Speaker 1: to allow you to get out there earlier than anybody else, 669 00:38:15,360 --> 00:38:17,160 Speaker 1: that allow you to stay healthy, and God forbid you 670 00:38:17,200 --> 00:38:19,719 Speaker 1: get COVID nineteen. It seems to improve your survival ry 671 00:38:19,719 --> 00:38:22,280 Speaker 1: because think about its, ninety percent of the hospitalized patients 672 00:38:22,560 --> 00:38:25,439 Speaker 1: have a comorbidity. But can I elivate the discussion a second, 673 00:38:25,440 --> 00:38:28,359 Speaker 1: because people are seemed to be a big push to 674 00:38:28,360 --> 00:38:29,760 Speaker 1: one side or the other. Do we open the country? 675 00:38:29,760 --> 00:38:32,440 Speaker 1: Do we keep the country safe? And I wouldn't make 676 00:38:32,440 --> 00:38:34,839 Speaker 1: the argument that if we open the country and people 677 00:38:34,880 --> 00:38:37,359 Speaker 1: don't feel safe, it's not going to have an impact. Right, 678 00:38:37,440 --> 00:38:39,720 Speaker 1: people aren't going to go shopping or go to hotels 679 00:38:39,719 --> 00:38:41,239 Speaker 1: that they feel on safe. So we want to do 680 00:38:41,320 --> 00:38:43,680 Speaker 1: both together. You have to have the testing that's been 681 00:38:43,680 --> 00:38:46,160 Speaker 1: advised by the CDC. We want to show a trend 682 00:38:46,480 --> 00:38:50,200 Speaker 1: towards improvement, not worsening, so everyone feels a hey, listen, 683 00:38:50,280 --> 00:38:53,040 Speaker 1: you know it's working for whatever reason, the social distancing 684 00:38:53,080 --> 00:38:56,160 Speaker 1: the masks, whether we're going for the first time out 685 00:38:56,200 --> 00:38:58,880 Speaker 1: to our job that's pretty critical to the infrastructure of 686 00:38:58,880 --> 00:39:00,960 Speaker 1: the country, or way down the road you go into 687 00:39:00,960 --> 00:39:02,600 Speaker 1: a ball game. It's got to have the same result. 688 00:39:02,920 --> 00:39:05,239 Speaker 1: People who are wise looked into it. They figure out 689 00:39:05,280 --> 00:39:07,080 Speaker 1: this might work. We're going to try our best to 690 00:39:07,080 --> 00:39:08,840 Speaker 1: make sure it works. We're going to do our part, 691 00:39:08,880 --> 00:39:11,640 Speaker 1: you know, protesting against that or for that, it's not 692 00:39:11,680 --> 00:39:14,200 Speaker 1: the point. At this point. We really have to agree 693 00:39:14,200 --> 00:39:15,960 Speaker 1: that that is the goal, because if the country doesn't 694 00:39:15,960 --> 00:39:18,680 Speaker 1: take it safe, it doesn't matter what everyone else is saying. 695 00:39:19,760 --> 00:39:23,080 Speaker 1: What does it mean to medicine? You know, I've always 696 00:39:23,360 --> 00:39:26,719 Speaker 1: I've always looked at Texas and they had medical tort 697 00:39:26,800 --> 00:39:29,400 Speaker 1: reform down there, and it has to the doctors that 698 00:39:29,440 --> 00:39:32,759 Speaker 1: I know down there, including my own knees. It has 699 00:39:32,760 --> 00:39:37,239 Speaker 1: had a great impact on and provides an atmosphere for 700 00:39:37,440 --> 00:39:42,160 Speaker 1: better care for patients based on Texas law. But you 701 00:39:42,280 --> 00:39:45,760 Speaker 1: have this intersection now of medicine, which you're an expert 702 00:39:45,800 --> 00:39:49,440 Speaker 1: at politics. I wouldn't call myself an expertose, let's just 703 00:39:49,480 --> 00:39:51,200 Speaker 1: say thirty one years, I do have a little bit 704 00:39:51,200 --> 00:39:55,040 Speaker 1: of experience with it. But unfortunately, what I see is 705 00:39:55,600 --> 00:40:01,680 Speaker 1: you've got an intersection with politics and medicine and it's colliding. 706 00:40:02,360 --> 00:40:04,560 Speaker 1: And you've got a number of factors in play here. 707 00:40:04,600 --> 00:40:08,480 Speaker 1: One is you've got the politicians now getting their hands 708 00:40:08,480 --> 00:40:11,120 Speaker 1: in the medical side of things and not an area 709 00:40:11,200 --> 00:40:13,120 Speaker 1: where they're they're not even good at their day job. 710 00:40:13,239 --> 00:40:16,239 Speaker 1: Why they're getting involved in any medical issue is ridiculous 711 00:40:16,239 --> 00:40:19,239 Speaker 1: to me. And then you've got you know, doctors, I've 712 00:40:19,280 --> 00:40:22,399 Speaker 1: come to realize you all are pretty freaking competitive, and 713 00:40:22,520 --> 00:40:24,960 Speaker 1: you know, one doctors saying this, is another saying that, 714 00:40:25,040 --> 00:40:27,560 Speaker 1: one saying if you say this, then it's that you know, 715 00:40:27,680 --> 00:40:30,759 Speaker 1: I mean, it's not good for medicine, it's not good 716 00:40:30,760 --> 00:40:32,880 Speaker 1: for patients. We ought to be able to have a 717 00:40:32,920 --> 00:40:35,680 Speaker 1: civil discussion with varying points of view, but it's it 718 00:40:35,760 --> 00:40:40,000 Speaker 1: seems to be harder these days. Well, doctors do fight 719 00:40:40,040 --> 00:40:43,759 Speaker 1: a lot. There's a classic line when you know, we're 720 00:40:43,760 --> 00:40:46,120 Speaker 1: in academia, and so we're used to being in an 721 00:40:46,200 --> 00:40:48,560 Speaker 1: environment where people can be pretty blunt with each other 722 00:40:48,600 --> 00:40:52,440 Speaker 1: because usually I'm saying, no, two plus two is four, 723 00:40:52,480 --> 00:40:54,319 Speaker 1: and they're saying, no, it's just four point one. He's 724 00:40:54,320 --> 00:40:56,040 Speaker 1: saying three point nine, and we're trying to figure out 725 00:40:56,040 --> 00:40:58,520 Speaker 1: what is you know, is my version of two really two? 726 00:40:58,880 --> 00:41:01,880 Speaker 1: It's so stuff, but it matters because we're fighting for 727 00:41:01,920 --> 00:41:04,760 Speaker 1: the truth. As long as people are a razor focused 728 00:41:04,800 --> 00:41:07,960 Speaker 1: on that, we can tolerate each other's biases, and interestingly, 729 00:41:07,960 --> 00:41:10,400 Speaker 1: we don't take it personally. Have you heard of M 730 00:41:10,400 --> 00:41:14,520 Speaker 1: and M conference or morbidity mortality conference? I am all right, 731 00:41:14,840 --> 00:41:17,120 Speaker 1: So for the folks listening at lots of out there 732 00:41:17,120 --> 00:41:19,439 Speaker 1: who may not have been exposed to this, once a week, 733 00:41:20,040 --> 00:41:23,560 Speaker 1: all of us sit in a room and reality each other, 734 00:41:23,600 --> 00:41:27,400 Speaker 1: like talk to your hosts, Yeah, except you're on the 735 00:41:27,440 --> 00:41:29,360 Speaker 1: same network. In this case, you're actually literally in the 736 00:41:29,400 --> 00:41:32,120 Speaker 1: same room. And sometimes you don't even like what the 737 00:41:32,200 --> 00:41:34,480 Speaker 1: other person is trying to tell you, but you'll have 738 00:41:34,560 --> 00:41:38,080 Speaker 1: an obligation, a sacred obligation to listen, because if people 739 00:41:38,080 --> 00:41:40,279 Speaker 1: are saying things to you. Lives are a dependent so 740 00:41:40,520 --> 00:41:42,520 Speaker 1: we go at each other. You shouldn't have done that, 741 00:41:42,640 --> 00:41:44,920 Speaker 1: it cut the wrong place, You should not have had surgery. 742 00:41:45,160 --> 00:41:47,440 Speaker 1: You have the wrong idea, and but guess what you learn? 743 00:41:47,520 --> 00:41:51,000 Speaker 1: It hurts, but you learn, and that is what That 744 00:41:51,120 --> 00:41:54,279 Speaker 1: is the foundation of democratic society, to be able to 745 00:41:54,280 --> 00:41:57,239 Speaker 1: say your desire and not take it personally. And that's 746 00:41:57,280 --> 00:41:59,920 Speaker 1: I think what's made medicine such a beautiful career for 747 00:42:00,040 --> 00:42:01,759 Speaker 1: me and why I love it so much. Yes, it 748 00:42:01,800 --> 00:42:04,760 Speaker 1: does get politicized sometimes in this kind of an environment. 749 00:42:04,760 --> 00:42:07,520 Speaker 1: I wish you wouldn't, because it's easy for any one 750 00:42:07,560 --> 00:42:10,720 Speaker 1: to make mistakes because there's a lot of things happening 751 00:42:10,760 --> 00:42:13,200 Speaker 1: that did Believe me, I spent my entire day looking 752 00:42:13,239 --> 00:42:15,960 Speaker 1: at inflow of huge amounts of information. Is it good, 753 00:42:16,040 --> 00:42:17,879 Speaker 1: is it valid? How do I use it? Does it? 754 00:42:17,920 --> 00:42:19,360 Speaker 1: Does it make me better to know that? Is it 755 00:42:19,440 --> 00:42:23,640 Speaker 1: wasting my time to understand that? And then in my 756 00:42:23,719 --> 00:42:28,520 Speaker 1: space in medicine, your major goal is making decisions even 757 00:42:28,520 --> 00:42:31,360 Speaker 1: when you don't have complete data. Because doctors, why you 758 00:42:31,360 --> 00:42:33,160 Speaker 1: don't mean a doctor if you have complete data, right, 759 00:42:33,200 --> 00:42:35,160 Speaker 1: because the computer will tell you what to do. We've 760 00:42:35,200 --> 00:42:36,839 Speaker 1: got to say, you know what, I know that data 761 00:42:36,840 --> 00:42:38,719 Speaker 1: says that, and these other data says is over here. 762 00:42:38,719 --> 00:42:40,479 Speaker 1: But you're a little different from that person, a little 763 00:42:40,480 --> 00:42:42,719 Speaker 1: different from that study. So I think your best course 764 00:42:42,800 --> 00:42:44,200 Speaker 1: is dead. And guess what. I tried it in a 765 00:42:44,239 --> 00:42:45,719 Speaker 1: patient two weeks ago and it works. So I'm going 766 00:42:45,760 --> 00:42:47,719 Speaker 1: to try it again, and then I'll educate myself and 767 00:42:47,760 --> 00:42:49,239 Speaker 1: I'll get better by doing it, and I'll share my 768 00:42:49,280 --> 00:42:52,040 Speaker 1: experience as somebody else. That's how medicine iterates. And I 769 00:42:52,080 --> 00:42:54,600 Speaker 1: think we don't want that perverted, because that's really that 770 00:42:54,680 --> 00:42:58,719 Speaker 1: culture is really hard to build. Let me ask this too, 771 00:42:58,760 --> 00:43:02,200 Speaker 1: because I think this is really important going forward. How 772 00:43:02,200 --> 00:43:04,960 Speaker 1: do you see if we really want to open the 773 00:43:05,000 --> 00:43:07,160 Speaker 1: country and we want to open it safely, we want 774 00:43:07,200 --> 00:43:10,520 Speaker 1: life back to normal. Um, listen, another one. Make me 775 00:43:10,600 --> 00:43:13,000 Speaker 1: happier than to go to a Yankee game with you 776 00:43:13,080 --> 00:43:15,320 Speaker 1: in the Jets or Giants game with you, or or 777 00:43:15,680 --> 00:43:17,960 Speaker 1: that I'll fly to Dallas and go see the Cowboys, 778 00:43:17,960 --> 00:43:22,839 Speaker 1: even anything at this point, but how do we do it? 779 00:43:22,920 --> 00:43:24,880 Speaker 1: How do we get life back to normal? How do 780 00:43:24,960 --> 00:43:27,200 Speaker 1: we do it safely? What is it going to take 781 00:43:27,360 --> 00:43:32,480 Speaker 1: for people temporarily to make life as normal as possible 782 00:43:32,560 --> 00:43:36,319 Speaker 1: and safe at the same time. I think we're gonna 783 00:43:36,320 --> 00:43:38,520 Speaker 1: have to trust each other to do exactly what we're 784 00:43:38,560 --> 00:43:42,080 Speaker 1: being asked to do by the folks of state leaders, 785 00:43:42,080 --> 00:43:45,080 Speaker 1: health leaders, and the federal government, which is power up 786 00:43:45,120 --> 00:43:47,239 Speaker 1: as much as you can social distance, which is you know, 787 00:43:47,280 --> 00:43:48,719 Speaker 1: on our system here, because you're not gonna be able 788 00:43:48,760 --> 00:43:50,720 Speaker 1: to police it. We're gonna have to make it easier 789 00:43:50,719 --> 00:43:52,680 Speaker 1: for folks to get to work. You know, there's some 790 00:43:52,719 --> 00:43:55,400 Speaker 1: big concerns appropriately about public transportation. We're gonna have to 791 00:43:55,400 --> 00:43:57,680 Speaker 1: help folks get to work safely. Then once they're there, 792 00:43:57,680 --> 00:43:59,719 Speaker 1: they're gonna have to be super delicate, and we've got 793 00:43:59,719 --> 00:44:02,840 Speaker 1: to move to each other and to the healthcare professionals 794 00:44:02,840 --> 00:44:05,200 Speaker 1: who are trying to do this with us, that we 795 00:44:05,239 --> 00:44:09,400 Speaker 1: can actually keep the number of people who get hospitalized 796 00:44:09,440 --> 00:44:12,680 Speaker 1: and get really sick from COVID nineteen down and keep 797 00:44:12,719 --> 00:44:15,120 Speaker 1: it going down further by doing these things. As long 798 00:44:15,160 --> 00:44:16,640 Speaker 1: as that works, and that was to me the most 799 00:44:16,680 --> 00:44:19,200 Speaker 1: important inside of the whole guidelines. As long as we're 800 00:44:19,200 --> 00:44:20,880 Speaker 1: heading in the right direction, then we open it up 801 00:44:20,880 --> 00:44:23,200 Speaker 1: a little further, go a little further. Different states will 802 00:44:23,239 --> 00:44:25,520 Speaker 1: do it in their own different way, but that data 803 00:44:25,640 --> 00:44:28,279 Speaker 1: is essential because that answers all your questions, because guess what, 804 00:44:28,520 --> 00:44:30,279 Speaker 1: who doesn't want to go back to work after being 805 00:44:30,560 --> 00:44:32,400 Speaker 1: you know, isolated as long? Who doesn't want to be 806 00:44:32,440 --> 00:44:33,959 Speaker 1: able to go out and enjoy time with their friends 807 00:44:34,080 --> 00:44:36,879 Speaker 1: or you know, to fulfill their life's dream. But none 808 00:44:36,880 --> 00:44:37,960 Speaker 1: of us are going to want to do it if 809 00:44:38,000 --> 00:44:40,920 Speaker 1: our families are at risk. I think these are all 810 00:44:40,960 --> 00:44:43,200 Speaker 1: good points. So I think it's more doable, and I 811 00:44:43,239 --> 00:44:46,279 Speaker 1: think people will be more cooperative people than others think. 812 00:44:46,680 --> 00:44:49,080 Speaker 1: I think when you explain it in a way that says, look, 813 00:44:49,120 --> 00:44:51,120 Speaker 1: I can't stop you. You're going to do what you 814 00:44:51,160 --> 00:44:52,960 Speaker 1: want to do, but could you do it for other people? 815 00:44:53,000 --> 00:44:55,920 Speaker 1: And you know, just appeal to people, And I think 816 00:44:55,960 --> 00:44:58,520 Speaker 1: it's possible. I agree with you. On public transportation. I 817 00:44:58,520 --> 00:45:01,000 Speaker 1: think that's a really really big challenge in a city 818 00:45:01,040 --> 00:45:03,480 Speaker 1: like New York. Doctor ros you've been a rock star. 819 00:45:03,560 --> 00:45:07,200 Speaker 1: We appreciate everything you're doing. Thank you. Eight hundred nine 820 00:45:07,239 --> 00:45:10,799 Speaker 1: four one, Sean told free telephone number. House Republican leader 821 00:45:10,880 --> 00:45:13,759 Speaker 1: Kevin McCarthy wrote a letter to Speaker Pelosi. He'll tell 822 00:45:13,840 --> 00:45:16,760 Speaker 1: us about it next. Roger Stone coming up, and Roger 823 00:45:16,800 --> 00:45:21,160 Speaker 1: Stone should absolutely never spend a day in jail, and 824 00:45:21,239 --> 00:45:23,399 Speaker 1: I'm going to tell you why. Like many of you, 825 00:45:23,520 --> 00:45:26,600 Speaker 1: I suffer from insomnia. Although you know, when I do 826 00:45:26,680 --> 00:45:30,120 Speaker 1: fall asleep now, which is rare thanks to my pillow 827 00:45:30,360 --> 00:45:32,799 Speaker 1: and all the my pillow products I love, I'm just 828 00:45:32,880 --> 00:45:36,600 Speaker 1: sleeping harder. I mean, it's it's very, very you know, 829 00:45:36,680 --> 00:45:38,680 Speaker 1: hard time, I guess for everybody, and it weighs on 830 00:45:38,719 --> 00:45:41,279 Speaker 1: you even more than you think at times. All right, 831 00:45:41,280 --> 00:45:43,359 Speaker 1: as we roll along eight hundred nine four one, sean, 832 00:45:43,440 --> 00:45:45,160 Speaker 1: if you want to be a part of the program, 833 00:45:45,520 --> 00:45:47,719 Speaker 1: you know you always see the worst in people, right, 834 00:45:47,760 --> 00:45:52,280 Speaker 1: How often have we talked about that? So Acasio Cortez, 835 00:45:52,520 --> 00:45:56,080 Speaker 1: the you know, champion of the New Green Deal no oil, 836 00:45:56,160 --> 00:46:00,479 Speaker 1: no gas, no cows, no planes, no nothing, the leader 837 00:46:00,520 --> 00:46:02,920 Speaker 1: to message in which she appeared to actually cheer the 838 00:46:03,120 --> 00:46:07,759 Speaker 1: historic drop in oil prices as an opportunity to get 839 00:46:07,840 --> 00:46:09,719 Speaker 1: rid of oil. And guess it is the lifeblood of 840 00:46:09,760 --> 00:46:15,480 Speaker 1: our planet, of our economies, the world economy, and it's 841 00:46:15,520 --> 00:46:18,359 Speaker 1: an opportunity to invest in green infrastructure. You know, like 842 00:46:18,400 --> 00:46:23,640 Speaker 1: what Celindra, Here is where the level of ignorance is now. 843 00:46:23,719 --> 00:46:26,359 Speaker 1: I know we all want lower oil prices, right, all 844 00:46:26,400 --> 00:46:32,080 Speaker 1: of us. Here's the problem. At some point, nobody gets 845 00:46:32,120 --> 00:46:36,000 Speaker 1: to keep their job because no oil company can produce 846 00:46:36,880 --> 00:46:40,279 Speaker 1: oil at the prices that they are talking about. And 847 00:46:40,440 --> 00:46:42,880 Speaker 1: that's it, all right, when we come back, we have 848 00:46:43,000 --> 00:46:47,640 Speaker 1: Kevin McCarthy, the House Republican leader, also Roger Stone, why 849 00:46:47,719 --> 00:46:52,080 Speaker 1: he should not at all be going to jail along 850 00:46:52,080 --> 00:46:55,600 Speaker 1: with others because corruption that has been exposed. All right, 851 00:46:55,640 --> 00:46:57,480 Speaker 1: twenty five till the top of the hour, eight hundred 852 00:46:57,480 --> 00:46:59,160 Speaker 1: and nine four one, Sean, you want to be a 853 00:46:59,160 --> 00:47:02,160 Speaker 1: part of the program I have right here in my hands, 854 00:47:02,320 --> 00:47:05,800 Speaker 1: Madam Speaker. It's time for Congress to get back to work. 855 00:47:06,680 --> 00:47:10,640 Speaker 1: And this is from Kevin McCarthy writing to the Speaker. 856 00:47:10,760 --> 00:47:15,120 Speaker 1: Designer ice Cream, February twenty four, Come to Chinatown, Pelosi, 857 00:47:15,719 --> 00:47:18,560 Speaker 1: the one that was impeaching the president when the president 858 00:47:18,600 --> 00:47:21,680 Speaker 1: was putting a travel ban in effect, the person that 859 00:47:21,840 --> 00:47:26,319 Speaker 1: was pre ripping for her temper tantrum planned post State 860 00:47:26,360 --> 00:47:29,760 Speaker 1: of the Union, while the President was talking about COVID nineteen. 861 00:47:29,840 --> 00:47:32,680 Speaker 1: She was pre planning and pre ripping her papers for 862 00:47:32,680 --> 00:47:35,640 Speaker 1: her big temper tantrum on TV planned out of course. 863 00:47:36,200 --> 00:47:39,640 Speaker 1: I'm writing to request request that we work to establish 864 00:47:39,680 --> 00:47:44,279 Speaker 1: a clear, safe, effective plan for reopening Congress, how the 865 00:47:44,400 --> 00:47:48,840 Speaker 1: speaker sits in her gated mansion on a regular basis 866 00:47:49,280 --> 00:47:53,480 Speaker 1: and showing off her designer ice cream in her fancy 867 00:47:53,600 --> 00:47:56,280 Speaker 1: ice box. Now, I have offered out of the goodness 868 00:47:56,320 --> 00:47:59,359 Speaker 1: of my heart because Nancy Pelosi, the President's at work 869 00:47:59,400 --> 00:48:01,759 Speaker 1: every day. Vin McCarthy's been at work every day, Mitch 870 00:48:01,800 --> 00:48:04,760 Speaker 1: pocconnell has been at work every day, all these members 871 00:48:04,760 --> 00:48:07,319 Speaker 1: of Congress. By the way, Kevin McCarthy flies commercial all 872 00:48:07,320 --> 00:48:12,719 Speaker 1: the way back to California every single week, and he 873 00:48:12,840 --> 00:48:16,520 Speaker 1: doesn't have Nancy Pelosi's access to her private jet and 874 00:48:16,560 --> 00:48:19,239 Speaker 1: her carbon emissions on top of all of that, and 875 00:48:19,320 --> 00:48:25,040 Speaker 1: she sits there. She has been the single most destructive 876 00:48:25,200 --> 00:48:28,200 Speaker 1: force as speaker in history and frankly, one of the 877 00:48:28,280 --> 00:48:31,640 Speaker 1: dumbest people I've ever seen in Washington. She can't for 878 00:48:31,800 --> 00:48:35,480 Speaker 1: five seconds, even during a national emergency, put aside her 879 00:48:35,560 --> 00:48:38,640 Speaker 1: rage and her hatred of the president too for the 880 00:48:38,680 --> 00:48:41,920 Speaker 1: good of the country. Now, Gavin Newsom, did you know. 881 00:48:42,280 --> 00:48:44,920 Speaker 1: I have my disagreements with Gavin Newsom, but he did 882 00:48:44,960 --> 00:48:47,120 Speaker 1: a pretty good job for the people of California, I 883 00:48:47,160 --> 00:48:48,920 Speaker 1: will say that, and I give him a lot of credit. 884 00:48:48,920 --> 00:48:51,520 Speaker 1: He work with the President was willing to speak the truth. 885 00:48:51,560 --> 00:48:54,319 Speaker 1: And the truth was this president delivered big time for 886 00:48:54,440 --> 00:48:58,279 Speaker 1: all these states. All the ventilators, all the respirators, all 887 00:48:58,320 --> 00:49:00,759 Speaker 1: the gloves, the gowns, the shield as you name it, 888 00:49:00,840 --> 00:49:04,440 Speaker 1: and the hydroxy chloroquin Yeah, that all came from Donald Trump. 889 00:49:04,840 --> 00:49:07,759 Speaker 1: All the hospitals, all the Navy ships. Yeah, they were 890 00:49:07,800 --> 00:49:10,960 Speaker 1: built and sent by Donald Trump. In the case of 891 00:49:11,000 --> 00:49:13,839 Speaker 1: New York, they were even. All the personnel was put 892 00:49:13,880 --> 00:49:16,600 Speaker 1: in there, and they were converted to COVID nineteen, which 893 00:49:16,680 --> 00:49:19,239 Speaker 1: is not an easy task because you got to change 894 00:49:19,239 --> 00:49:24,400 Speaker 1: the ventilation anyway. The only people now remember, we're happy 895 00:49:24,440 --> 00:49:27,520 Speaker 1: that we go into our local grocery store and that 896 00:49:27,640 --> 00:49:30,319 Speaker 1: there's food. You can thank the guys that in the 897 00:49:30,320 --> 00:49:35,280 Speaker 1: store that are putting, you know, groceries on the shelves 898 00:49:35,320 --> 00:49:38,319 Speaker 1: every day. And I see these guys. I tell them 899 00:49:38,320 --> 00:49:40,400 Speaker 1: every time I go into the store, guys, please be safe, 900 00:49:40,400 --> 00:49:43,040 Speaker 1: be careful, take you know, take extra precautions. I say 901 00:49:43,080 --> 00:49:45,359 Speaker 1: this to all these guys. Actually tried to give a 902 00:49:45,400 --> 00:49:47,960 Speaker 1: tip one day to a guy in my local place, 903 00:49:48,840 --> 00:49:51,920 Speaker 1: and it was like twenty bucks and I the guy 904 00:49:52,000 --> 00:49:54,279 Speaker 1: refused the tip. I'm like no, no, no, So I 905 00:49:54,320 --> 00:49:57,319 Speaker 1: just dropped it, and then as manager came running over, 906 00:49:57,400 --> 00:50:00,839 Speaker 1: he's not allowed to take it like the guys. You know, 907 00:50:01,000 --> 00:50:03,200 Speaker 1: I just want to say thank you, and I thought 908 00:50:03,200 --> 00:50:04,759 Speaker 1: I was going to get arrested for trying to tip 909 00:50:04,760 --> 00:50:06,919 Speaker 1: the guy. But they're on the front lines making sure 910 00:50:06,960 --> 00:50:10,160 Speaker 1: that everything's full. Our farmers are farming, or packers are packing, 911 00:50:10,239 --> 00:50:13,760 Speaker 1: or truck drivers or truck driving, and they're getting everything delivered, 912 00:50:14,239 --> 00:50:16,560 Speaker 1: you know. But Congress, you know they're they're sitting on 913 00:50:16,600 --> 00:50:19,839 Speaker 1: their ass doing nothing. And why doesn't she get back 914 00:50:19,880 --> 00:50:23,160 Speaker 1: to Washington. Presidents there every day doing two three hour 915 00:50:23,200 --> 00:50:25,719 Speaker 1: press conferences every day to update the nations. So the 916 00:50:25,800 --> 00:50:28,560 Speaker 1: mob and the media can attack him every second of 917 00:50:28,640 --> 00:50:32,320 Speaker 1: the day. But they are being watched in record numbers. 918 00:50:32,320 --> 00:50:34,000 Speaker 1: And I know because I see ratings. I used to 919 00:50:34,000 --> 00:50:36,279 Speaker 1: be number one in cable until Donald Trump began his 920 00:50:36,360 --> 00:50:40,759 Speaker 1: press conferences. Linda was making fun of it today, but 921 00:50:41,080 --> 00:50:43,520 Speaker 1: it's important. We're in the middle of a national emergency, 922 00:50:43,600 --> 00:50:50,800 Speaker 1: a pandemic. People need information. Presidents there every day giving information. Anyway. 923 00:50:50,880 --> 00:50:53,920 Speaker 1: Kevin McCarthy has been there most of the time with him, 924 00:50:53,920 --> 00:50:56,760 Speaker 1: although flying back to California to be with his family 925 00:50:56,800 --> 00:51:01,759 Speaker 1: and to be with his constituents when possible, he joins us. 926 00:51:01,800 --> 00:51:05,799 Speaker 1: Now and you talk about the business of Washington. What 927 00:51:05,960 --> 00:51:09,400 Speaker 1: she's scheduled to come back in May. How long has 928 00:51:09,440 --> 00:51:15,239 Speaker 1: she been away? Hey? But you know what else she 929 00:51:15,280 --> 00:51:18,399 Speaker 1: has done though? She has used the American workers as 930 00:51:18,440 --> 00:51:22,120 Speaker 1: ponds during this pandemic. Remember during the Cares Act when 931 00:51:22,200 --> 00:51:25,000 Speaker 1: we had a full agreement, she holds it up to 932 00:51:25,040 --> 00:51:27,239 Speaker 1: get more money for the arts, more money for the 933 00:51:27,320 --> 00:51:31,120 Speaker 1: Kennedy Center, and how many thousands of people got laid off. 934 00:51:31,440 --> 00:51:34,680 Speaker 1: Now we have a small business program that's been so affective. 935 00:51:35,040 --> 00:51:38,319 Speaker 1: In fourteen days, they have moved as much money that 936 00:51:38,360 --> 00:51:41,680 Speaker 1: the SBA has actually produced in fourteen years in fourteen 937 00:51:41,760 --> 00:51:44,560 Speaker 1: days to keep people hired, to keep that small business 938 00:51:44,560 --> 00:51:47,319 Speaker 1: afloat while they're shut down. And you know what Nancy 939 00:51:47,360 --> 00:51:49,400 Speaker 1: Pelosi did when they ran out of money because they're affected, 940 00:51:49,920 --> 00:51:53,360 Speaker 1: she stopped it. She's just creating roadblocks instead of replenishing 941 00:51:53,400 --> 00:51:55,480 Speaker 1: that money. And then she thinks you shouldn't come back 942 00:51:55,520 --> 00:51:59,560 Speaker 1: to Washington. Well, her behavior. Look go back to the 943 00:51:59,600 --> 00:52:04,120 Speaker 1: first bill we had American workers. They had to wait 944 00:52:04,200 --> 00:52:08,919 Speaker 1: at least another week plus because of her demands, which were, 945 00:52:09,040 --> 00:52:12,279 Speaker 1: let's see, seventy five million for the National Endowment for 946 00:52:12,320 --> 00:52:16,040 Speaker 1: the Arts, seventy five million National Endowment for Humanities, you know, 947 00:52:16,120 --> 00:52:19,440 Speaker 1: twenty five million for the Kennedy's Center for the Performing 948 00:52:19,560 --> 00:52:22,640 Speaker 1: Arts that then took the money and fired all their employees. 949 00:52:23,280 --> 00:52:26,480 Speaker 1: I mean, it's just outrageous. And now you know, we're 950 00:52:26,480 --> 00:52:29,640 Speaker 1: trying to refill the money for small businesses and loans 951 00:52:29,640 --> 00:52:31,319 Speaker 1: that are going to be available and grants that are 952 00:52:31,360 --> 00:52:35,040 Speaker 1: being available. These people desperately need it. And I'm by 953 00:52:35,080 --> 00:52:37,719 Speaker 1: the way, I am saying that we should pass no 954 00:52:37,800 --> 00:52:41,080 Speaker 1: more bills that are any bill that has anything non 955 00:52:41,120 --> 00:52:44,920 Speaker 1: COVID nineteen related should not be in there. Republicans have 956 00:52:45,000 --> 00:52:47,200 Speaker 1: got to hold the line. We can't be wasting money 957 00:52:47,320 --> 00:52:50,160 Speaker 1: when we don't have it. So you know, that's what 958 00:52:50,160 --> 00:52:53,120 Speaker 1: we've done on this bill. What she did in that 959 00:52:53,160 --> 00:52:55,320 Speaker 1: Billy you just talked about before the Cares Act to 960 00:52:55,360 --> 00:52:58,280 Speaker 1: the American public, she held it up because she cared 961 00:52:58,320 --> 00:53:03,880 Speaker 1: about green new she cared about changing election law. She 962 00:53:03,920 --> 00:53:07,920 Speaker 1: wanted to become more powerful about sanctuary cities. And listen, 963 00:53:08,080 --> 00:53:10,880 Speaker 1: it falls all the way down into her own members. 964 00:53:11,480 --> 00:53:15,120 Speaker 1: Congresswoman Jaipaul, she's upset that we're going to pass this 965 00:53:15,160 --> 00:53:17,440 Speaker 1: bill to help small businesses because she wanted to Democrats 966 00:53:17,480 --> 00:53:21,000 Speaker 1: to hold out longer to get more leverage. AOC says, 967 00:53:21,040 --> 00:53:23,640 Speaker 1: she loves to see it happen, all these thousands of 968 00:53:23,680 --> 00:53:26,600 Speaker 1: people who are losing their jobs in the energy industry. 969 00:53:26,920 --> 00:53:29,520 Speaker 1: That's what she treats. And then her number three, the 970 00:53:29,560 --> 00:53:33,399 Speaker 1: most powerful whip that you have in Congress, the majority whip. 971 00:53:33,480 --> 00:53:36,520 Speaker 1: Right now, Cleburne. He thinks the coronavirus gives them the 972 00:53:36,520 --> 00:53:41,319 Speaker 1: opportunity to restructure government into their liberal view and she 973 00:53:41,400 --> 00:53:44,960 Speaker 1: wants to put some oversight committee and put him in 974 00:53:45,040 --> 00:53:48,520 Speaker 1: charge to be able to restructure government. Now we're learning 975 00:53:48,560 --> 00:53:51,399 Speaker 1: this that if we come back and vote on this, 976 00:53:51,920 --> 00:53:54,600 Speaker 1: she wants to run through a rules change in the 977 00:53:54,640 --> 00:53:57,919 Speaker 1: House hasn't been done in more than two hundred years, 978 00:53:58,000 --> 00:54:00,880 Speaker 1: to put proxy voting in to give her more power. 979 00:54:01,719 --> 00:54:04,360 Speaker 1: They want to change election laws. They want to change 980 00:54:04,400 --> 00:54:07,319 Speaker 1: immigration laws. They want to they want to use this. 981 00:54:07,640 --> 00:54:10,400 Speaker 1: How could you be happy? These are high paying career 982 00:54:10,480 --> 00:54:14,240 Speaker 1: jobs in the energy industry. Now, I can never figure out, Linda. 983 00:54:14,239 --> 00:54:16,440 Speaker 1: How many times over the years have I said I 984 00:54:16,520 --> 00:54:20,560 Speaker 1: cannot figure out how to invest in natural gas oil 985 00:54:20,600 --> 00:54:24,160 Speaker 1: and the energy industry. I just don't know it. I've asked, 986 00:54:24,400 --> 00:54:28,439 Speaker 1: you know the former what's his name, Hoffmeister, former head 987 00:54:28,440 --> 00:54:31,799 Speaker 1: of CEOs Oil. Yeah, yeah, I mean I've asked him 988 00:54:31,800 --> 00:54:35,160 Speaker 1: so many times because I want our oil industry doing well. 989 00:54:35,200 --> 00:54:39,120 Speaker 1: But when you can't, when the prices are that low 990 00:54:39,239 --> 00:54:43,360 Speaker 1: that you've got to shut down business, people lose jobs 991 00:54:43,360 --> 00:54:47,359 Speaker 1: in those environments. It's the lifeblood of the world's economy. Congressman, 992 00:54:48,680 --> 00:54:52,040 Speaker 1: it's more than just jobs. It keeps our world safe. 993 00:54:52,080 --> 00:54:55,160 Speaker 1: You look at geo political it's fundamentally different what I 994 00:54:55,280 --> 00:54:57,799 Speaker 1: Ran tried to do in the world when we're energy independent, 995 00:54:58,120 --> 00:55:01,520 Speaker 1: what sani Arabian Russia did and when they did it. 996 00:55:01,520 --> 00:55:04,319 Speaker 1: It is a perfect storm with the economy moving down 997 00:55:04,400 --> 00:55:07,160 Speaker 1: because of this virus of China lying to the world 998 00:55:07,640 --> 00:55:10,400 Speaker 1: that we watched oil go to a negative number, and 999 00:55:10,640 --> 00:55:15,080 Speaker 1: AOC who's probably the most known Democrat in the country, 1000 00:55:15,440 --> 00:55:20,200 Speaker 1: she tweets, you absolutely love to see this. Americans losing 1001 00:55:20,200 --> 00:55:23,360 Speaker 1: their job. This is the leader and the thought person 1002 00:55:23,440 --> 00:55:26,440 Speaker 1: inside their conference. And why because the head of their 1003 00:55:26,880 --> 00:55:30,640 Speaker 1: whole party, Nancy Pelosi, says the same thing as long 1004 00:55:30,640 --> 00:55:33,520 Speaker 1: with the number three, that is what's harming America. And 1005 00:55:33,719 --> 00:55:35,960 Speaker 1: Thursday we'll get the new report for those who are 1006 00:55:36,080 --> 00:55:40,560 Speaker 1: unemployed for the last week. That is the Nancy Pelosi unemployment, 1007 00:55:40,760 --> 00:55:43,960 Speaker 1: because she has driven this by holding this middle up 1008 00:55:44,280 --> 00:55:47,920 Speaker 1: where it was already working, no policy changes, just requesting 1009 00:55:48,000 --> 00:55:51,640 Speaker 1: more money for that, and requested more money for hospitals, 1010 00:55:51,680 --> 00:55:55,600 Speaker 1: and she held it up. Unbelievable. So are we there? 1011 00:55:55,440 --> 00:55:57,560 Speaker 1: Are we done? Is it gonna? You know, we're gonna 1012 00:55:57,560 --> 00:56:00,560 Speaker 1: get that part of this done. We've got an agreement. 1013 00:56:00,800 --> 00:56:04,640 Speaker 1: It's supposed to pass the Senate today, probably sometime after five. 1014 00:56:05,239 --> 00:56:07,359 Speaker 1: The House will take a vote on it. She's going 1015 00:56:07,440 --> 00:56:10,319 Speaker 1: to try to use this opportunity to change rules in 1016 00:56:10,360 --> 00:56:15,040 Speaker 1: the House. They're put in proxy voting, which is unbelievable. 1017 00:56:15,080 --> 00:56:18,200 Speaker 1: Why would you ever, over two hundred years not work 1018 00:56:18,280 --> 00:56:21,520 Speaker 1: bipartisan how to deal with this? We have states, even 1019 00:56:21,640 --> 00:56:25,279 Speaker 1: Cuomo saying he's planning for how to open. I have 1020 00:56:25,440 --> 00:56:28,920 Speaker 1: sent a letter. I want to be established a clear, safe, 1021 00:56:29,080 --> 00:56:33,719 Speaker 1: effective plan to reopen Congress. You can open some committees, 1022 00:56:33,920 --> 00:56:35,800 Speaker 1: you can do it in a manner that is safe. 1023 00:56:35,840 --> 00:56:38,000 Speaker 1: I want to make sure it's safe. But wouldn't you 1024 00:56:38,080 --> 00:56:41,280 Speaker 1: think Congress would be essential. I've watched from the Civil 1025 00:56:41,320 --> 00:56:44,640 Speaker 1: War on where Congress continued to meet. We should know 1026 00:56:44,680 --> 00:56:47,560 Speaker 1: what we're doing these committees. We have the National Defense 1027 00:56:47,640 --> 00:56:50,640 Speaker 1: Authorization Act for our men and women in the military. 1028 00:56:51,000 --> 00:56:53,520 Speaker 1: That committee could be back here meeting in a big room, 1029 00:56:53,600 --> 00:56:56,239 Speaker 1: so they got distancing that we're not hurt by that 1030 00:56:56,640 --> 00:56:59,040 Speaker 1: shouldn't The Oversight Committee shouldn't be they be looking at 1031 00:56:59,080 --> 00:57:01,800 Speaker 1: the World Health Organism. What did they do on harming 1032 00:57:01,800 --> 00:57:03,960 Speaker 1: the rest of the world and whether money should be 1033 00:57:04,000 --> 00:57:07,520 Speaker 1: going there. There's so many committees and so much responsibility 1034 00:57:07,800 --> 00:57:10,120 Speaker 1: that we can do it healthy. But she wants to 1035 00:57:10,160 --> 00:57:13,160 Speaker 1: pull back change rules that make her more powerful. That 1036 00:57:13,320 --> 00:57:15,480 Speaker 1: hopefully she can try to what she wants to do, 1037 00:57:15,520 --> 00:57:17,919 Speaker 1: and we have stopped it all along the way. Try 1038 00:57:17,960 --> 00:57:20,440 Speaker 1: to do green new deal, try to deal something with 1039 00:57:20,520 --> 00:57:24,400 Speaker 1: planned parenthood, and jam through election law changes. I mean, 1040 00:57:24,680 --> 00:57:26,560 Speaker 1: that's in essence what she's trying to do with election 1041 00:57:26,640 --> 00:57:30,160 Speaker 1: law changes. She's trying to implement those into Congress right now. 1042 00:57:31,040 --> 00:57:34,400 Speaker 1: And it's worse than you think. Because every constituent of 1043 00:57:34,400 --> 00:57:39,040 Speaker 1: the country loans their voice to somebody for two years, 1044 00:57:39,200 --> 00:57:41,800 Speaker 1: they didn't loan it to Nancy Pelosi. They can't hold 1045 00:57:41,840 --> 00:57:45,520 Speaker 1: her accountable. They can only do that by changing the House. Well, 1046 00:57:45,560 --> 00:57:48,720 Speaker 1: we got an election in one hundred and ninety six days, 1047 00:57:48,720 --> 00:57:51,040 Speaker 1: and I know rightly so the country is not focused 1048 00:57:51,080 --> 00:57:54,200 Speaker 1: on this now. But now the President also has an 1049 00:57:54,200 --> 00:57:57,520 Speaker 1: executive order saying, hey, we're closing the borders until we 1050 00:57:57,600 --> 00:58:00,600 Speaker 1: get past this number one to protect American jobs. But 1051 00:58:00,720 --> 00:58:04,400 Speaker 1: it does raise the importance of for example, all these 1052 00:58:04,640 --> 00:58:06,720 Speaker 1: states that want to give in your state, I guess 1053 00:58:06,800 --> 00:58:10,439 Speaker 1: Gavin Newsom wants to give every illegal immigrant five hundred bucks. 1054 00:58:11,080 --> 00:58:14,680 Speaker 1: We have sanctuary state. Your state is a sanctuary state. 1055 00:58:14,840 --> 00:58:19,680 Speaker 1: Sanctuary cities like San Francisco, New York City, etc. They 1056 00:58:19,760 --> 00:58:22,960 Speaker 1: literally free healthcare for illegal immigrants. I can think of 1057 00:58:23,000 --> 00:58:25,840 Speaker 1: four quick reasons why we need to secure our borders. 1058 00:58:25,920 --> 00:58:29,080 Speaker 1: Number one, we need to know and check do background 1059 00:58:29,160 --> 00:58:33,120 Speaker 1: checks that people don't have ties to extremist organizations. Number 1060 00:58:33,160 --> 00:58:36,480 Speaker 1: two are Southern border. Ninety percent of the heroin and 1061 00:58:36,800 --> 00:58:38,800 Speaker 1: a lot of the fenton all in this country. That's 1062 00:58:38,840 --> 00:58:42,800 Speaker 1: killing three hundred Americans a week crosses that border. That's 1063 00:58:42,880 --> 00:58:47,200 Speaker 1: reason number two. Reason number three, I think health concerns 1064 00:58:47,240 --> 00:58:49,400 Speaker 1: now should be in the forefront, and I think a 1065 00:58:49,520 --> 00:58:52,040 Speaker 1: health check for people that want to enter the country 1066 00:58:52,200 --> 00:58:55,160 Speaker 1: is fair game, just out of an abundance of caution. 1067 00:58:55,240 --> 00:58:58,400 Speaker 1: For American citizens that are opening their doors in their hearts. 1068 00:58:58,840 --> 00:59:01,440 Speaker 1: Number four, I would say, people have to show we 1069 00:59:01,520 --> 00:59:03,560 Speaker 1: can't afford it, that you have the means of taking 1070 00:59:03,640 --> 00:59:05,840 Speaker 1: care of yourself if you get in here, and then 1071 00:59:05,880 --> 00:59:08,720 Speaker 1: welcome to our family. But those conditions have to exist. 1072 00:59:10,280 --> 00:59:12,920 Speaker 1: Those are conditions that existed at the creation of this 1073 00:59:13,040 --> 00:59:16,440 Speaker 1: country when people came here. And we want people to 1074 00:59:16,440 --> 00:59:19,240 Speaker 1: be able to immigrant here, the immigrate here on an 1075 00:59:19,280 --> 00:59:22,200 Speaker 1: honest way and through our laws in a legal way. 1076 00:59:22,520 --> 00:59:24,800 Speaker 1: But what the president is doing is what's dealing with 1077 00:59:24,920 --> 00:59:28,000 Speaker 1: the COVID crisis. He had right now, just like when 1078 00:59:28,080 --> 00:59:31,480 Speaker 1: January thirty first, when the Wealth, the World Health Organization 1079 00:59:31,520 --> 00:59:34,280 Speaker 1: said this wasn't being transferred human to human, that he 1080 00:59:34,360 --> 00:59:37,000 Speaker 1: was able to stop the Chinese from coming to America. 1081 00:59:37,440 --> 00:59:39,520 Speaker 1: Think of the number of lives of what had died 1082 00:59:39,560 --> 00:59:41,720 Speaker 1: had he not taken that action. But if you listen 1083 00:59:41,760 --> 00:59:45,640 Speaker 1: to the Democrats, they attacked him for it. They attacked 1084 00:59:45,720 --> 00:59:48,680 Speaker 1: him and almost a month later, in February twenty fourth, 1085 00:59:48,680 --> 00:59:52,040 Speaker 1: you mentioned earlier, Nancy Pelosi is down in Chinatown asking 1086 00:59:52,080 --> 00:59:55,160 Speaker 1: everybody to come together. While this president is trying to 1087 00:59:55,240 --> 00:59:57,600 Speaker 1: keep us safe in a healthy way. That's why he's 1088 00:59:57,680 --> 01:00:00,440 Speaker 1: looking at the borders and shutting him down because as 1089 01:00:00,440 --> 01:00:03,280 Speaker 1: we get past this, we don't want somebody else from 1090 01:00:03,280 --> 01:00:06,320 Speaker 1: the other countries at that time to come into America 1091 01:00:06,360 --> 01:00:08,240 Speaker 1: and make us sick again. We've got to be able. 1092 01:00:08,280 --> 01:00:11,400 Speaker 1: Just as Democrats and America and Republicans talk about Tracy, 1093 01:00:11,680 --> 01:00:16,280 Speaker 1: it's the same difference on the border, very very challenging time. 1094 01:00:16,440 --> 01:00:19,680 Speaker 1: So have you heard from the speaker? Have you heard 1095 01:00:19,720 --> 01:00:22,720 Speaker 1: from any Democrats? Are there any Democrats that want to join? 1096 01:00:22,800 --> 01:00:25,760 Speaker 1: Were Republicans at this point understanding that what they are 1097 01:00:25,880 --> 01:00:31,120 Speaker 1: doing by trying to, you know, damage these bills and 1098 01:00:31,240 --> 01:00:34,600 Speaker 1: muddy up these bills with things non COVID nineteen related 1099 01:00:34,800 --> 01:00:41,600 Speaker 1: are hurting people, workers, hospital workers, out of work workers, industries, 1100 01:00:41,680 --> 01:00:45,920 Speaker 1: small businesses that need help. The only way we're able 1101 01:00:45,920 --> 01:00:48,720 Speaker 1: to get this agreement with Nancy holding it up for 1102 01:00:48,760 --> 01:00:50,960 Speaker 1: more than two weeks, because we knew it ahead of time. 1103 01:00:51,000 --> 01:00:53,840 Speaker 1: That's why we started asking. Democrats came up and objected 1104 01:00:54,320 --> 01:00:58,280 Speaker 1: her own. Democrats started going out against her publicly that 1105 01:00:58,360 --> 01:01:00,680 Speaker 1: they wanted to help the small business. They wanted to 1106 01:01:00,720 --> 01:01:03,680 Speaker 1: lend the small business money, even provide them grants to 1107 01:01:04,520 --> 01:01:07,560 Speaker 1: keep those individuals working. They may not be at the shop, 1108 01:01:07,600 --> 01:01:10,360 Speaker 1: but pay them, let them get through the next two months, 1109 01:01:10,640 --> 01:01:13,400 Speaker 1: as we get through this panademic and that we're able 1110 01:01:13,400 --> 01:01:16,120 Speaker 1: to come out of it in a safe manner. Maybe 1111 01:01:16,120 --> 01:01:19,040 Speaker 1: it's in phases, but those small businesses are so critical 1112 01:01:19,080 --> 01:01:21,360 Speaker 1: to us. We are already able to do more than 1113 01:01:21,560 --> 01:01:25,560 Speaker 1: thirty million jobs saved. But how many did Nancy Pelosi 1114 01:01:25,640 --> 01:01:27,560 Speaker 1: just get laid off in the last week by holding 1115 01:01:27,560 --> 01:01:30,760 Speaker 1: it up. We'll soon learn on Thursday, while we're voting 1116 01:01:30,760 --> 01:01:33,520 Speaker 1: for this, the numbers will come out, and that will 1117 01:01:33,560 --> 01:01:35,960 Speaker 1: be on the Democrats for holding it up for no 1118 01:01:36,040 --> 01:01:39,320 Speaker 1: other reason but to play politics. If ice cream design 1119 01:01:39,400 --> 01:01:42,960 Speaker 1: or ice cream and our free special freezer is holding 1120 01:01:42,960 --> 01:01:47,600 Speaker 1: her in our gated community mansion, she can get on 1121 01:01:47,640 --> 01:01:49,880 Speaker 1: our private jet with all the carbon emissions. And if 1122 01:01:49,880 --> 01:01:52,000 Speaker 1: she wants, you can make the offer. I'm willing to 1123 01:01:52,080 --> 01:01:56,120 Speaker 1: pay for, you know, a week's supply of designer ice 1124 01:01:56,160 --> 01:01:58,280 Speaker 1: cream and a freezer. If that will bring her back 1125 01:01:58,320 --> 01:02:01,720 Speaker 1: to work, how's that. I'll be very kind of. He'll 1126 01:02:01,760 --> 01:02:03,520 Speaker 1: be very helpful. And I don't know, I don't know 1127 01:02:03,560 --> 01:02:05,600 Speaker 1: if that that was when she was in San Francisco. 1128 01:02:05,880 --> 01:02:09,080 Speaker 1: Are her vineyard out in Napa. But the one thing 1129 01:02:09,120 --> 01:02:12,520 Speaker 1: I do know, come to Chinatown February twenty four. She's 1130 01:02:12,560 --> 01:02:16,680 Speaker 1: a genius, all right, Kevin, thank you. Kevin McCarthy is 1131 01:02:16,720 --> 01:02:19,000 Speaker 1: the House Republican Leader. How do people get in touch 1132 01:02:19,040 --> 01:02:21,760 Speaker 1: with you guys if they want, Well, if you go 1133 01:02:21,800 --> 01:02:24,680 Speaker 1: to Twitter, GOP leader is a great place to go. 1134 01:02:24,720 --> 01:02:27,720 Speaker 1: And we need everybody's help out there to really get 1135 01:02:27,720 --> 01:02:29,960 Speaker 1: the message out. Must keep us safe. But let we 1136 01:02:30,000 --> 01:02:32,919 Speaker 1: need to change the House in one hundred ninety six days. 1137 01:02:32,920 --> 01:02:35,760 Speaker 1: We need we need new leadership take the House. So 1138 01:02:35,880 --> 01:02:37,760 Speaker 1: they go to take the House dot com. That's the 1139 01:02:37,760 --> 01:02:40,120 Speaker 1: best way that they can get that basis to help. 1140 01:02:40,640 --> 01:02:42,800 Speaker 1: All right, Kevin McCarthy, thank you. When we come back, 1141 01:02:43,240 --> 01:02:46,400 Speaker 1: Roger Stone quick break right back, we'll continue HI News 1142 01:02:46,440 --> 01:02:49,800 Speaker 1: Round Up, Information Overload Hours Sean Hannity Show, eight hundred 1143 01:02:49,840 --> 01:02:51,520 Speaker 1: and ninety four one, Sean, you want to be a 1144 01:02:51,640 --> 01:02:55,560 Speaker 1: part of this extravaganza. Now, we have not been spending 1145 01:02:55,720 --> 01:02:59,560 Speaker 1: the time following up on although I have built my 1146 01:02:59,640 --> 01:03:04,240 Speaker 1: own dossier of very big important news developments as it 1147 01:03:04,280 --> 01:03:08,040 Speaker 1: relates to the deep state, everything that the mob and 1148 01:03:08,080 --> 01:03:15,360 Speaker 1: the media got wrong there, Russia, Russia, Russia, Trump Russia, collusion, collusion, collusion, Ukraine, Ukraine, 1149 01:03:15,400 --> 01:03:19,240 Speaker 1: and Peach and Peach and peach everything. They said, Well, 1150 01:03:19,280 --> 01:03:22,760 Speaker 1: we had four investigations culminating with the Muller Report, and 1151 01:03:22,800 --> 01:03:26,360 Speaker 1: guess what, there was no Trump Russia collusion. Not only 1152 01:03:26,440 --> 01:03:30,160 Speaker 1: did we have premeditated fraud on Afiz accord, as I 1153 01:03:30,280 --> 01:03:34,000 Speaker 1: have been telling you in our ensemble cast and nearly 1154 01:03:34,040 --> 01:03:38,440 Speaker 1: for three years, we got every single thing right, they 1155 01:03:38,440 --> 01:03:41,640 Speaker 1: got it wrong. The mob in the media. Our timeline 1156 01:03:41,640 --> 01:03:47,600 Speaker 1: on them on coronavirus is it is repulsive that they 1157 01:03:47,600 --> 01:03:51,400 Speaker 1: would ever think of criticizing anybody. Fake News CNN March fourth, 1158 01:03:51,480 --> 01:03:55,360 Speaker 1: they're telling people, are you more about the flu? You know? 1159 01:03:55,480 --> 01:04:00,840 Speaker 1: Politicians ms DNC, they're just they're off in another ozone layer. 1160 01:04:00,840 --> 01:04:05,600 Speaker 1: They're just gone. But they were wrong, and they lied, 1161 01:04:06,240 --> 01:04:11,040 Speaker 1: and they bludgeoned, and they smeared and they slandered, and 1162 01:04:11,440 --> 01:04:16,880 Speaker 1: they advanced conspiracy theories and hoaxes, all disproven. And in 1163 01:04:17,040 --> 01:04:21,959 Speaker 1: is psychotic rage against Donald Trump and anybody that likes 1164 01:04:21,960 --> 01:04:25,320 Speaker 1: Donald Trump. And this is who they are. This defines 1165 01:04:25,360 --> 01:04:30,840 Speaker 1: who they are. They never take responsibility, they never make corrections. 1166 01:04:30,880 --> 01:04:33,320 Speaker 1: We saw this with the New York Times. You know, 1167 01:04:33,400 --> 01:04:36,200 Speaker 1: they say, oh, well this guy listen to Hannity and 1168 01:04:36,200 --> 01:04:39,360 Speaker 1: he went on a cruise. And but Hannity, it said 1169 01:04:39,400 --> 01:04:43,120 Speaker 1: this in early March. Yeah, what they were quoting me 1170 01:04:43,160 --> 01:04:45,760 Speaker 1: saying was nine days after the guy went on the cruise. 1171 01:04:46,720 --> 01:04:49,440 Speaker 1: But the author of the article, oh, ends up saying 1172 01:04:50,400 --> 01:04:53,320 Speaker 1: just days before the cruise. Oh, I don't see what 1173 01:04:53,360 --> 01:04:56,680 Speaker 1: the big deal about the virus is. M that's called 1174 01:04:56,720 --> 01:05:02,200 Speaker 1: slander libel. And but this is who they are. We 1175 01:05:02,280 --> 01:05:06,040 Speaker 1: have now learned that they knew, and they knew early 1176 01:05:06,680 --> 01:05:10,640 Speaker 1: that not only was the Clinton bought and paid for 1177 01:05:10,920 --> 01:05:16,280 Speaker 1: dirty Russian dossier unverifiable and now we know debunked, but 1178 01:05:16,360 --> 01:05:19,960 Speaker 1: they also know and knew early on that in fact, 1179 01:05:20,000 --> 01:05:24,760 Speaker 1: it was the Russian government that was feeding this misinformation 1180 01:05:25,480 --> 01:05:30,440 Speaker 1: to the Christopher Steele and that they knew Christopher Steele 1181 01:05:30,600 --> 01:05:34,280 Speaker 1: was working and putting this together for Hillary Clinton. Remember 1182 01:05:34,320 --> 01:05:38,840 Speaker 1: the multiple warnings in fact, that were given by people 1183 01:05:39,000 --> 01:05:42,920 Speaker 1: even Bruce or and Kathleen Cavalac the State Department, that yeah, 1184 01:05:43,040 --> 01:05:47,400 Speaker 1: Steele has an agenda, don't trust them, it's a political agenda. Yeah, 1185 01:05:47,480 --> 01:05:49,640 Speaker 1: Hillary paid for it. Remember they hit all this from 1186 01:05:49,680 --> 01:05:52,360 Speaker 1: the FISO court and their applications, all four of them. 1187 01:05:52,920 --> 01:05:55,919 Speaker 1: But they knew from the beginning and it didn't stop them. 1188 01:05:56,640 --> 01:05:59,200 Speaker 1: That's what premeditated fraud on the Physo court. It turns 1189 01:05:59,200 --> 01:06:02,840 Speaker 1: out that the Russians were feeding a lot of anti 1190 01:06:02,880 --> 01:06:05,960 Speaker 1: Trump stuff to the Hillary's campaign. In other words, even 1191 01:06:06,000 --> 01:06:08,360 Speaker 1: the New York Times, finally late in the game, got 1192 01:06:08,400 --> 01:06:11,640 Speaker 1: it right. It was likely the dossier Russian disinformation from 1193 01:06:11,680 --> 01:06:15,600 Speaker 1: the get go. But they kept this investigation going, knowing 1194 01:06:15,640 --> 01:06:19,080 Speaker 1: that there was no legitimate reason for it. They abused 1195 01:06:19,120 --> 01:06:22,880 Speaker 1: their power. It's the biggest abuse of power corruption scandal 1196 01:06:22,920 --> 01:06:25,880 Speaker 1: in history. Now we have since learned other things. We 1197 01:06:26,000 --> 01:06:30,320 Speaker 1: learned that not only did Papadopoulos you say exculpatory things, 1198 01:06:30,400 --> 01:06:33,080 Speaker 1: nobody's working with Russia, what are you talking about? But 1199 01:06:33,160 --> 01:06:37,600 Speaker 1: they lied about him and they persecuted him, just like 1200 01:06:37,680 --> 01:06:39,880 Speaker 1: the same with General Flynt and the information we've been 1201 01:06:39,880 --> 01:06:43,320 Speaker 1: sharing about him, just like we now know remember the 1202 01:06:43,720 --> 01:06:48,400 Speaker 1: rate of Roger Stone's house for a process crime lying 1203 01:06:48,440 --> 01:06:51,880 Speaker 1: to Congress. By the way, very similar things in the 1204 01:06:51,920 --> 01:06:55,600 Speaker 1: Inspector General's report, many referrals about guys like come and 1205 01:06:55,680 --> 01:07:00,440 Speaker 1: McCabe and others lying to Congress process crimes. None of 1206 01:07:00,480 --> 01:07:04,640 Speaker 1: them have been charged. We can't have a dual justice system. 1207 01:07:04,640 --> 01:07:07,240 Speaker 1: We need equal justice under the law, equal application of 1208 01:07:07,280 --> 01:07:11,000 Speaker 1: our laws, or else we don't have a constitution, and 1209 01:07:11,480 --> 01:07:14,600 Speaker 1: so Rogerstone is what twenty nine men in tactical gear 1210 01:07:15,360 --> 01:07:20,240 Speaker 1: pre dawn raid frogmen, fake news, CNN cameras capturing all 1211 01:07:20,280 --> 01:07:23,160 Speaker 1: of it. Wonder where they got that information from. There's 1212 01:07:23,160 --> 01:07:25,800 Speaker 1: happened to be there at six am, five am, whatever 1213 01:07:25,840 --> 01:07:28,720 Speaker 1: it was. And then we find out in the Stone 1214 01:07:28,760 --> 01:07:33,280 Speaker 1: case that the jury four person had posted on social 1215 01:07:33,320 --> 01:07:38,400 Speaker 1: media prior in with have jury selection didn't acknowledge this 1216 01:07:38,520 --> 01:07:42,520 Speaker 1: truth that she hates Rogerstone and hates the President, and 1217 01:07:42,600 --> 01:07:44,560 Speaker 1: then the judge in the case instead of doing the 1218 01:07:44,640 --> 01:07:48,400 Speaker 1: right thing because last time I read, maybe I'm wrong 1219 01:07:48,960 --> 01:07:53,680 Speaker 1: that we are supposed to have impartial juries and free 1220 01:07:53,680 --> 01:07:57,080 Speaker 1: and fair trials for American citizens. We have a right 1221 01:07:57,120 --> 01:08:00,160 Speaker 1: to an impartial jury. Not in the Stone case, the 1222 01:08:00,240 --> 01:08:03,160 Speaker 1: judge or he proudly said, no, you don't get another case. 1223 01:08:04,400 --> 01:08:07,960 Speaker 1: This is a grave injustice. President weighed in on it recently. 1224 01:08:07,960 --> 01:08:14,240 Speaker 1: Here's what he said. And it's my strong opinion that 1225 01:08:14,320 --> 01:08:17,680 Speaker 1: the forewoman of the jury, the woman who was in 1226 01:08:17,800 --> 01:08:21,639 Speaker 1: charge of the jury, is totally tainted. When you take 1227 01:08:21,640 --> 01:08:23,400 Speaker 1: a look, how can you have a person like this, 1228 01:08:24,320 --> 01:08:28,599 Speaker 1: she was a anti Trump activist. Now can you have 1229 01:08:28,600 --> 01:08:32,320 Speaker 1: a jury pool tainted so badly, it's not fair. What 1230 01:08:32,520 --> 01:08:38,320 Speaker 1: happened to him is unbelievable. They say he lied, but 1231 01:08:38,439 --> 01:08:46,360 Speaker 1: other people lied too. Just to mention, Komey lied, McKay blied, 1232 01:08:47,800 --> 01:08:58,880 Speaker 1: Lisa Page lied, her lover struck, Peter Struck blied. Roger 1233 01:08:58,920 --> 01:09:02,280 Speaker 1: Stone joins us. Now this should not happen in this country. 1234 01:09:02,360 --> 01:09:07,000 Speaker 1: Roger Stone, I'm very sorry for you, Sorry for Papadopoulos, 1235 01:09:07,080 --> 01:09:09,759 Speaker 1: I'm sorry for General Flynn. This is how we treat 1236 01:09:09,800 --> 01:09:13,120 Speaker 1: thirty three year veterans. And frankly, there wouldn't even be 1237 01:09:13,120 --> 01:09:17,600 Speaker 1: a poem Manaford investigation but for all of this, regardless 1238 01:09:17,600 --> 01:09:18,920 Speaker 1: of what he may or may not have done on 1239 01:09:18,960 --> 01:09:21,840 Speaker 1: his taxes, even Michael Cohen, who I'm not particularly fond of, 1240 01:09:21,920 --> 01:09:24,320 Speaker 1: having not told the truth about me being in his client. 1241 01:09:24,360 --> 01:09:27,880 Speaker 1: But anyway, now you faced Jael, and you're worried this 1242 01:09:27,960 --> 01:09:32,360 Speaker 1: is a death sentence. Yeah, Sean, I think most Americans 1243 01:09:32,439 --> 01:09:36,160 Speaker 1: understand the decision to prosecute me was made long after 1244 01:09:36,240 --> 01:09:39,880 Speaker 1: they knew there was no Russian collusion. It is alleged 1245 01:09:39,960 --> 01:09:44,960 Speaker 1: that I lied to Congress about the Trump campaign's interest 1246 01:09:45,040 --> 01:09:47,640 Speaker 1: in the Wiki League's disclosures, which was a matter of 1247 01:09:47,720 --> 01:09:50,760 Speaker 1: public record, discussed one hundred and forty two times by 1248 01:09:50,800 --> 01:09:54,400 Speaker 1: candidate Trump himself in September in October. It doesn't even 1249 01:09:54,479 --> 01:09:57,920 Speaker 1: make sense. There was no underlying crime for me to 1250 01:09:58,160 --> 01:10:02,559 Speaker 1: lie about, but for an entire year the fake news media, 1251 01:10:02,920 --> 01:10:06,479 Speaker 1: the CNN, MSNBC, the New York Times, the Washington Post. 1252 01:10:06,760 --> 01:10:11,280 Speaker 1: Rogerstone will be prosecuted for treason, perhaps bionage, for trafficking 1253 01:10:11,280 --> 01:10:14,920 Speaker 1: and stolen emails, for colluding with the Russians on behalf 1254 01:10:14,960 --> 01:10:18,360 Speaker 1: of Donald Trump. There was never any such evidence. I 1255 01:10:18,400 --> 01:10:21,120 Speaker 1: wasn't charged with any of those things. The best Andrew 1256 01:10:21,120 --> 01:10:24,640 Speaker 1: Weissman could come up with was this contrived charge of 1257 01:10:24,760 --> 01:10:27,360 Speaker 1: lying to Congress about things that were a matter of 1258 01:10:27,439 --> 01:10:31,120 Speaker 1: public record. And I can tell you now that no 1259 01:10:31,240 --> 01:10:34,840 Speaker 1: Trump supporter or Republican can get a fair trial in 1260 01:10:34,920 --> 01:10:39,200 Speaker 1: the District of Columbia. My jury included not a single Republican, 1261 01:10:39,280 --> 01:10:42,559 Speaker 1: not a single Trump supporter, not a single military veteran, 1262 01:10:43,000 --> 01:10:46,880 Speaker 1: not a single high school educated blue collar worker, not 1263 01:10:46,920 --> 01:10:51,519 Speaker 1: a single union member. It was a jury of liberal 1264 01:10:51,600 --> 01:10:57,879 Speaker 1: elitists and trump ters. And I, listening to the experts 1265 01:10:57,920 --> 01:11:04,280 Speaker 1: like Jonathan Turley and to politano Alan Dershowitz, I'm entitled 1266 01:11:04,280 --> 01:11:09,200 Speaker 1: to a jury of impartial and indifferent jurors. This lee 1267 01:11:09,320 --> 01:11:12,800 Speaker 1: juror attacked the president, called him a clansman, said all 1268 01:11:12,840 --> 01:11:16,840 Speaker 1: of his supporters were racists. That would include you and I, Sean. 1269 01:11:18,200 --> 01:11:21,040 Speaker 1: She attacked me on the day I was arrested. She 1270 01:11:21,120 --> 01:11:26,640 Speaker 1: attacked me pled not guilty publicly on Twitter and Facebook. 1271 01:11:26,920 --> 01:11:29,479 Speaker 1: Yet in jury selection she said she didn't know who 1272 01:11:29,520 --> 01:11:33,080 Speaker 1: I was. So at a minimum, I should be entitled 1273 01:11:33,120 --> 01:11:36,240 Speaker 1: to a new trial a minimum, But by the way, 1274 01:11:36,360 --> 01:11:38,559 Speaker 1: she should be try She should be brought up on 1275 01:11:38,680 --> 01:11:43,040 Speaker 1: charges for lying on a jury form, no question about that. 1276 01:11:43,120 --> 01:11:45,880 Speaker 1: But look, here's what was really going on. On July 1277 01:11:46,040 --> 01:11:49,640 Speaker 1: twenty fourth of twenty nineteen, the Muller team offered me 1278 01:11:49,760 --> 01:11:54,439 Speaker 1: a quote unquote deal. If I would mischaracterize thirty six 1279 01:11:54,520 --> 01:11:57,920 Speaker 1: individual telephone calls from candidate Donald Trump that took place 1280 01:11:58,160 --> 01:12:02,240 Speaker 1: in twenty sixteen, we could work out my charges if 1281 01:12:02,320 --> 01:12:04,680 Speaker 1: you'll just tell the truth, mister Stone, come clean and 1282 01:12:04,720 --> 01:12:08,400 Speaker 1: stop lying. Admit this was all about Russian collusion, including 1283 01:12:08,400 --> 01:12:11,559 Speaker 1: with the Russians. And I refused, And I knew when 1284 01:12:11,600 --> 01:12:13,880 Speaker 1: I refused that I was doing so at great peril. 1285 01:12:14,280 --> 01:12:17,800 Speaker 1: These people have destroyed me financially, I can't earn a 1286 01:12:17,840 --> 01:12:21,240 Speaker 1: living speaking or writing because I've been gagged. I've lost 1287 01:12:21,280 --> 01:12:23,960 Speaker 1: my savings, I've lost my home, I've lost my insurance, 1288 01:12:24,160 --> 01:12:27,080 Speaker 1: I've lost my car. But I haven't lost my faith 1289 01:12:27,080 --> 01:12:29,320 Speaker 1: in God, and I haven't lost by the support of 1290 01:12:29,320 --> 01:12:32,759 Speaker 1: my family, and I still believe in the American system, 1291 01:12:32,760 --> 01:12:35,479 Speaker 1: and I still believe justice will be done. But I 1292 01:12:35,520 --> 01:12:37,960 Speaker 1: will not give up fighting. And if I have to appeal, 1293 01:12:38,280 --> 01:12:41,639 Speaker 1: I will appeal. You're supposed to report to jail win 1294 01:12:43,560 --> 01:12:48,679 Speaker 1: next Thursday. So here's another example of the two tier 1295 01:12:48,760 --> 01:12:53,559 Speaker 1: justice system. Yes, call me Brennan Clapper at all. Hillary, 1296 01:12:54,280 --> 01:12:57,439 Speaker 1: They all lied to Congress on consequential matters. None of 1297 01:12:57,479 --> 01:13:00,760 Speaker 1: them were charged. But now you see Michael Vinati. There 1298 01:13:00,800 --> 01:13:05,320 Speaker 1: would be presidential candidate Michael Cone this afternoon. Rick Gates, 1299 01:13:05,439 --> 01:13:10,960 Speaker 1: the judge in my case, zeroed out his time incarceration 1300 01:13:11,000 --> 01:13:14,040 Speaker 1: on the weekends, doesn't have to serve at the same 1301 01:13:14,040 --> 01:13:17,599 Speaker 1: time that they are seeking to incarcerate me. Sean, I'm 1302 01:13:17,680 --> 01:13:20,360 Speaker 1: sixty seven years old. I'm in pretty good health, but 1303 01:13:20,439 --> 01:13:23,680 Speaker 1: I had some underlying respiratory problems as a child. I 1304 01:13:23,720 --> 01:13:25,920 Speaker 1: have some damage to my lungs. I think I'm a 1305 01:13:25,960 --> 01:13:31,920 Speaker 1: sitting duck for coronavirus. This is a vengeful, vengeful situation. 1306 01:13:32,479 --> 01:13:35,720 Speaker 1: I think being punished because I supported Donald Trump and 1307 01:13:35,760 --> 01:13:38,400 Speaker 1: I believed in him for a long time. I'm being 1308 01:13:38,400 --> 01:13:41,240 Speaker 1: punished because I wrote The Clinton's War on Women, which 1309 01:13:41,280 --> 01:13:44,840 Speaker 1: we launched on your radio show, which was an extraordinarily 1310 01:13:44,920 --> 01:13:49,160 Speaker 1: successful and accurate book about the epic corruption of Bill 1311 01:13:49,439 --> 01:13:52,800 Speaker 1: and Hillary Clinton. The chief prosecutor in my case was 1312 01:13:52,960 --> 01:13:57,000 Speaker 1: Jeanie Y Bill Clinton Pardon me, hillary Clinton's personal attorney 1313 01:13:57,200 --> 01:14:01,479 Speaker 1: and the attorney for the Clinton Foundation. The prosecutor on 1314 01:14:01,520 --> 01:14:05,160 Speaker 1: the Muller team who prosecuted me, Aaron Zelinski, was deputy 1315 01:14:05,160 --> 01:14:08,040 Speaker 1: counsel to Hillary Clinton at the State Department. These are 1316 01:14:08,080 --> 01:14:13,000 Speaker 1: not career line prosecutors, as the mainstream media tries to 1317 01:14:13,080 --> 01:14:17,080 Speaker 1: mislead you into believing this was a vendetta, because I 1318 01:14:17,120 --> 01:14:19,439 Speaker 1: have long believed that Donald Trump had what it took 1319 01:14:19,479 --> 01:14:22,320 Speaker 1: to be not only a great presidential candidate, but a 1320 01:14:22,360 --> 01:14:25,479 Speaker 1: great president, and he's proven. I think we've both been 1321 01:14:25,479 --> 01:14:28,040 Speaker 1: proven right and a conservative, which a lot of people 1322 01:14:28,080 --> 01:14:29,639 Speaker 1: doubt it at the time. And you and I knew 1323 01:14:29,680 --> 01:14:32,439 Speaker 1: better because we knew him for such a long period 1324 01:14:32,439 --> 01:14:35,160 Speaker 1: of time. You know, I just want to say something 1325 01:14:35,160 --> 01:14:38,519 Speaker 1: I know. I'm speaking from my audience here, Roger. And 1326 01:14:38,560 --> 01:14:40,040 Speaker 1: by the way, you are a painting my neck a 1327 01:14:40,080 --> 01:14:43,040 Speaker 1: couple of times. You know you once said Hannity's lobbying 1328 01:14:43,040 --> 01:14:45,680 Speaker 1: to be chief of staff, which was not true, but 1329 01:14:45,840 --> 01:14:48,679 Speaker 1: Bob put that aside. I actually never said. I actually 1330 01:14:48,680 --> 01:14:50,320 Speaker 1: never said that. But if you hear me out, I 1331 01:14:50,320 --> 01:14:53,439 Speaker 1: would explain it. But listen, you know what, here's what 1332 01:14:53,479 --> 01:14:55,160 Speaker 1: I do want to say to you. Very good to me. 1333 01:14:55,400 --> 01:14:57,840 Speaker 1: Let me tell you something, Roger, this should not happen 1334 01:14:57,880 --> 01:15:01,200 Speaker 1: to any American, what they've done to you. This is 1335 01:15:01,280 --> 01:15:07,560 Speaker 1: not the great United States of America, the great constitutional Republic. 1336 01:15:08,200 --> 01:15:11,680 Speaker 1: People need to hear this and understand that if it 1337 01:15:11,680 --> 01:15:16,400 Speaker 1: can happen to Roger Stone and General Flynn and Papadopolis 1338 01:15:16,760 --> 01:15:22,280 Speaker 1: and everybody else, and others that are far more guilty 1339 01:15:22,320 --> 01:15:25,639 Speaker 1: of the same so called process crimes get off scott 1340 01:15:25,680 --> 01:15:29,519 Speaker 1: free every time. We don't have a country, we don't 1341 01:15:29,560 --> 01:15:32,400 Speaker 1: have a constitution, Roger. I don't care if they like 1342 01:15:32,520 --> 01:15:34,600 Speaker 1: you or don't like you, like me, or don't like me, 1343 01:15:34,760 --> 01:15:38,719 Speaker 1: like Trump, don't like Trump. It doesn't matter. It doesn't 1344 01:15:38,720 --> 01:15:45,280 Speaker 1: matter because justice should be blind, equal process, equal application 1345 01:15:45,479 --> 01:15:49,280 Speaker 1: of our laws. Is critical. Stay right there, Roger Stone 1346 01:15:49,320 --> 01:15:53,120 Speaker 1: with us, and I'm praying you know, I don't know 1347 01:15:53,160 --> 01:15:55,679 Speaker 1: what the President's thoughts are in this that I hope 1348 01:15:55,720 --> 01:16:00,639 Speaker 1: there's justice to remedy the great injustice. This is here 1349 01:16:01,240 --> 01:16:04,840 Speaker 1: every liberal ought to be asking themselves, Wow, what if 1350 01:16:04,920 --> 01:16:07,360 Speaker 1: this happened to a liberal friend of mine and it 1351 01:16:07,520 --> 01:16:12,320 Speaker 1: was done by conservative prosecutors and a conservative judge? Think 1352 01:16:12,360 --> 01:16:16,360 Speaker 1: about that? All right? We continue? Roger Stone is with 1353 01:16:16,479 --> 01:16:19,440 Speaker 1: us at least post to report to jail next Thursday. 1354 01:16:21,200 --> 01:16:24,080 Speaker 1: We now know the jury four person had a bias 1355 01:16:24,200 --> 01:16:28,240 Speaker 1: specifically against him posting she posted things publicly against him. 1356 01:16:28,479 --> 01:16:30,800 Speaker 1: I guess she didn't say that on the jury questionnaire? 1357 01:16:30,840 --> 01:16:36,280 Speaker 1: Did she? I can't comment on that because it's sealed. Okay, Well, 1358 01:16:36,320 --> 01:16:38,479 Speaker 1: you know the judge in your case didn't have any 1359 01:16:38,479 --> 01:16:43,320 Speaker 1: problems problems unsealing my private text messages, Roger in case 1360 01:16:43,360 --> 01:16:47,240 Speaker 1: you don't know that, I'm compared to your problems and nothing. 1361 01:16:48,080 --> 01:16:52,200 Speaker 1: How does how do you go about this appeal? Because 1362 01:16:52,280 --> 01:16:54,000 Speaker 1: you know I couldn't even talk to you, had a 1363 01:16:54,120 --> 01:16:57,280 Speaker 1: gag order the whole freaking time. You couldn't even defend yourself, 1364 01:16:57,280 --> 01:17:01,800 Speaker 1: which is another violation of your constitutional rights, well from 1365 01:17:01,880 --> 01:17:07,439 Speaker 1: the beginning. I was prohibited. When the government's motions were granted, 1366 01:17:07,560 --> 01:17:11,000 Speaker 1: I couldn't raise the question of selective persecution. I was prohibited. 1367 01:17:11,640 --> 01:17:14,560 Speaker 1: I still don't believe there's any evidence that the Russians 1368 01:17:14,920 --> 01:17:20,120 Speaker 1: hacked the DNC other than the draft redacted CrowdStrike report. 1369 01:17:20,760 --> 01:17:24,200 Speaker 1: But I was not allowed, and therefore there the first 1370 01:17:24,240 --> 01:17:27,439 Speaker 1: four pages of my indictment, which alleged that that happened, 1371 01:17:27,479 --> 01:17:29,840 Speaker 1: and all of my lives are related to it. They 1372 01:17:29,840 --> 01:17:32,640 Speaker 1: wouldn't let to bring it up, but I would not 1373 01:17:32,680 --> 01:17:34,880 Speaker 1: allow wouldn't allow us to bring it up or to 1374 01:17:34,920 --> 01:17:39,280 Speaker 1: prove otherwise. And in the government took so much bad 1375 01:17:39,320 --> 01:17:42,720 Speaker 1: heat over admitting that they had relied on the CrowdStrike 1376 01:17:42,800 --> 01:17:46,240 Speaker 1: report that they filed an additional sir reply with the court, 1377 01:17:46,280 --> 01:17:49,560 Speaker 1: insisting that they had additional proof, but it was classified 1378 01:17:49,560 --> 01:17:51,240 Speaker 1: and they couldn't show it to us, which to me 1379 01:17:51,360 --> 01:17:53,439 Speaker 1: is a fraud upon the court. I only have about 1380 01:17:53,479 --> 01:17:56,600 Speaker 1: thirty seconds left. I want to I want everybody to know. 1381 01:17:56,760 --> 01:18:00,559 Speaker 1: You don't have any money, do you? No? God destroyed me. 1382 01:18:00,640 --> 01:18:04,880 Speaker 1: I'm I'm indigen literally indigen and if people want to 1383 01:18:05,000 --> 01:18:07,360 Speaker 1: help you, which I you know, I would like to 1384 01:18:07,400 --> 01:18:10,360 Speaker 1: help you and I haven't been able to for a 1385 01:18:10,360 --> 01:18:12,960 Speaker 1: lot of reasons that you know, how do they do it? 1386 01:18:14,560 --> 01:18:16,200 Speaker 1: The best thing to do right now is to go 1387 01:18:16,280 --> 01:18:19,000 Speaker 1: to Stone Defense Fund dot com. I've got to pay 1388 01:18:19,040 --> 01:18:23,840 Speaker 1: these lawyers to try to avoid dying in prison, and 1389 01:18:23,920 --> 01:18:26,519 Speaker 1: I wiped out. I raised two million dollars from Great 1390 01:18:26,520 --> 01:18:29,439 Speaker 1: Americans and Trump supporters, which I spent on my trial. 1391 01:18:29,880 --> 01:18:32,080 Speaker 1: Say it again, what's your website? The coverage are Barren 1392 01:18:32,479 --> 01:18:35,880 Speaker 1: Stone Defense Fund dot com. And if you want to 1393 01:18:35,920 --> 01:18:38,720 Speaker 1: sign a petition, go to free Rogerstone dot com a 1394 01:18:38,800 --> 01:18:41,800 Speaker 1: petition to the President. We'll continue all right, twenty five 1395 01:18:41,920 --> 01:18:43,559 Speaker 1: till the top of the hour, eight hundred and nine 1396 01:18:43,680 --> 01:18:46,200 Speaker 1: four one Sean. You want to be a part of 1397 01:18:46,200 --> 01:18:51,160 Speaker 1: this extravaganza. Um. You know, you look at everything that 1398 01:18:51,760 --> 01:18:55,840 Speaker 1: was done by the federal government and it is pretty amazing. 1399 01:18:56,960 --> 01:19:03,479 Speaker 1: There really is an incredible medical mobile that the President 1400 01:19:03,520 --> 01:19:05,880 Speaker 1: was able to get done. The Army Corps of Engineers 1401 01:19:05,880 --> 01:19:11,400 Speaker 1: executed thirty two facilities around the country fifteen thousand, eight 1402 01:19:11,479 --> 01:19:17,000 Speaker 1: hundred beds. They had all the personnel. The largest bed 1403 01:19:17,560 --> 01:19:21,240 Speaker 1: hospital bed area built in the country three thousand beds 1404 01:19:21,280 --> 01:19:24,000 Speaker 1: at the Javit Center in New York that was manned 1405 01:19:24,040 --> 01:19:29,360 Speaker 1: by the federal government. New York did not contribute at all. 1406 01:19:30,240 --> 01:19:33,360 Speaker 1: All the ventilators New York got short of what hospitals 1407 01:19:33,360 --> 01:19:35,200 Speaker 1: in New York had. They all came from the federal 1408 01:19:35,240 --> 01:19:38,240 Speaker 1: government and anyone that needed a ventilator got one, and 1409 01:19:38,280 --> 01:19:43,400 Speaker 1: they had many left over, but fifteen thousand, eight hundred 1410 01:19:43,400 --> 01:19:47,400 Speaker 1: bed capacity in about a month's period of time built 1411 01:19:47,439 --> 01:19:50,960 Speaker 1: around the country. We are now doubling the tests. We're 1412 01:19:51,000 --> 01:19:56,040 Speaker 1: near five million tests now. Over thirty million new swabs 1413 01:19:56,040 --> 01:20:00,120 Speaker 1: have been produced, will be produced in the coming weeks. 1414 01:20:00,160 --> 01:20:05,559 Speaker 1: Seventeen million lancense for the finger prick tests that have 1415 01:20:05,640 --> 01:20:10,720 Speaker 1: been going out there. That's that's all coming out. We 1416 01:20:10,840 --> 01:20:14,479 Speaker 1: have now again nearly five million Americans already tested. Then 1417 01:20:14,479 --> 01:20:17,120 Speaker 1: we have on top of that, then we have the 1418 01:20:17,400 --> 01:20:22,120 Speaker 1: antibody test. They are getting all the collections. We have 1419 01:20:22,160 --> 01:20:25,000 Speaker 1: the six five minute test, six hour test, twenty four 1420 01:20:25,000 --> 01:20:28,040 Speaker 1: hour test two on top of that. You know, getting 1421 01:20:28,040 --> 01:20:30,479 Speaker 1: the agents is a lot more complicated than some of 1422 01:20:30,479 --> 01:20:34,040 Speaker 1: these people think, but it's getting done as well. They 1423 01:20:34,080 --> 01:20:37,960 Speaker 1: are increasing by the Defense Production Act, the testing swab 1424 01:20:38,000 --> 01:20:41,759 Speaker 1: production and getting the agents to make sure the test 1425 01:20:41,880 --> 01:20:46,960 Speaker 1: is working. One hundred thousand ventilators procured by the federal government. 1426 01:20:47,479 --> 01:20:51,679 Speaker 1: Honeywell's hiring a thousand plus workers to produce twenty million 1427 01:20:51,760 --> 01:20:55,800 Speaker 1: more and ninety five masks a month. FEMA is now 1428 01:20:55,840 --> 01:20:58,840 Speaker 1: working to obtain three and eighty four million to order 1429 01:20:59,040 --> 01:21:03,240 Speaker 1: sixty four million gowns and everything else for healthcare workers. 1430 01:21:05,360 --> 01:21:09,439 Speaker 1: Pretty amazing mobilization in a month, but you wouldn't know 1431 01:21:09,479 --> 01:21:12,000 Speaker 1: it if you watched anybody else in the media, or 1432 01:21:12,040 --> 01:21:16,320 Speaker 1: watch I mean to watch these press conferences and the hostility, 1433 01:21:16,400 --> 01:21:19,960 Speaker 1: the hatred, the rage you know we're talking about. FEMA 1434 01:21:19,960 --> 01:21:23,439 Speaker 1: has spent five point seven billion just in COVID nineteen 1435 01:21:23,520 --> 01:21:27,920 Speaker 1: efforts health in human services. FEMA private sector have coordinated 1436 01:21:27,960 --> 01:21:32,160 Speaker 1: the delivery of now sixty million and ninety five respirators, 1437 01:21:32,160 --> 01:21:34,719 Speaker 1: with all these others in the hopper to be built monthly. 1438 01:21:35,479 --> 01:21:40,759 Speaker 1: Eighty five million surgical masks, six point four million face shields, 1439 01:21:41,200 --> 01:21:45,040 Speaker 1: twelve point three million surgical gowns, six hundred and thirty 1440 01:21:45,080 --> 01:21:48,760 Speaker 1: eight million sets of gloves, ten thousand, nine hundred and 1441 01:21:48,880 --> 01:21:52,960 Speaker 1: ninety eight new ventilators you know out there and created, 1442 01:21:53,040 --> 01:21:57,200 Speaker 1: and that the assembly lines are now working. Pretty incredible, 1443 01:21:58,160 --> 01:22:00,200 Speaker 1: But you never know if you watched anything in the 1444 01:22:00,240 --> 01:22:03,880 Speaker 1: mob in the media. I mean to the extent that 1445 01:22:03,960 --> 01:22:06,760 Speaker 1: they have politicized all of this. We were right from 1446 01:22:06,760 --> 01:22:09,200 Speaker 1: the beginning you said that's a hoax. No, we never 1447 01:22:09,200 --> 01:22:11,240 Speaker 1: said it was a hoax. I said they're politicizing a 1448 01:22:11,320 --> 01:22:16,360 Speaker 1: virus to use this as their latest host, as their 1449 01:22:16,439 --> 01:22:20,280 Speaker 1: latest hoax to bludgeon the president. Very different when you 1450 01:22:20,320 --> 01:22:22,840 Speaker 1: say it the way I said it, and you know, 1451 01:22:23,040 --> 01:22:26,599 Speaker 1: by saying to people, and you know doctor Fouci January 1452 01:22:26,640 --> 01:22:30,120 Speaker 1: twenty seventh on TV our Panel of Doctors, the twenty 1453 01:22:30,120 --> 01:22:34,519 Speaker 1: eighth the January Doctor Fouci back February tenth, talking about 1454 01:22:34,560 --> 01:22:40,200 Speaker 1: asymptomatic people, no symptoms, walking around, infecting so many others. 1455 01:22:40,280 --> 01:22:42,559 Speaker 1: I was one of the first people that I know 1456 01:22:42,640 --> 01:22:44,799 Speaker 1: of in the media to say, oh, that's a problem, 1457 01:22:45,560 --> 01:22:49,000 Speaker 1: big time. You watch, you know, the likes of Nancy 1458 01:22:49,040 --> 01:22:53,560 Speaker 1: Pelosi come to Chinatown February twenty fourth, you know, Comrade 1459 01:22:53,560 --> 01:22:56,320 Speaker 1: the Blasio, the mayor, mayor governor of New York. And 1460 01:22:56,360 --> 01:22:58,479 Speaker 1: I'm not even that critical of them, because some people, 1461 01:22:58,600 --> 01:23:01,320 Speaker 1: you know, there was we weren't being told the truth. 1462 01:23:02,800 --> 01:23:04,880 Speaker 1: But they were saying, oh, we can handle this and 1463 01:23:04,880 --> 01:23:08,439 Speaker 1: we're prepared, And they were not in any way shape 1464 01:23:08,479 --> 01:23:12,960 Speaker 1: manner of four. They weren't ready at all. Um. By 1465 01:23:13,000 --> 01:23:16,920 Speaker 1: the way, that's funny. I'm not gonna say it on air. 1466 01:23:17,800 --> 01:23:20,760 Speaker 1: Why go ahead, so you'd say it on air whatever 1467 01:23:20,800 --> 01:23:22,360 Speaker 1: you get. Why would you not want to say that 1468 01:23:22,479 --> 01:23:25,679 Speaker 1: on air? That's a thing of beauty. Yet again, whether 1469 01:23:25,720 --> 01:23:27,479 Speaker 1: I should sue The New York Times. You put up 1470 01:23:27,479 --> 01:23:30,120 Speaker 1: a poll. Yeah, unbeknownst to me, Thank you very much, 1471 01:23:30,120 --> 01:23:33,160 Speaker 1: And would you like to know the results? You just 1472 01:23:33,200 --> 01:23:35,160 Speaker 1: sent them to me. I already know the results. What 1473 01:23:35,320 --> 01:23:39,040 Speaker 1: is it? So go ahead and tell everybody. Oh my gosh, 1474 01:23:39,120 --> 01:23:41,160 Speaker 1: I gotta pull it up here. Okay, thank you for 1475 01:23:41,280 --> 01:23:45,280 Speaker 1: voting ninety six point one five percent yes, three point 1476 01:23:45,280 --> 01:23:48,160 Speaker 1: eight five percent No. That's basically like the twelve writers 1477 01:23:48,160 --> 01:23:51,120 Speaker 1: that the New York Times that voted no and then 1478 01:23:51,520 --> 01:23:54,479 Speaker 1: listen no, no final decision. Let's put it this way. 1479 01:23:54,479 --> 01:23:57,400 Speaker 1: It has been made. But let's just say that there's 1480 01:23:57,400 --> 01:24:01,439 Speaker 1: been a lot of conference calls lately, a lot. We 1481 01:24:01,520 --> 01:24:04,679 Speaker 1: have now seventy some odd percent of people now support 1482 01:24:04,800 --> 01:24:09,120 Speaker 1: the temporary immigration ban of the President. How didn't hear anybody? 1483 01:24:09,120 --> 01:24:12,160 Speaker 1: Has anyone called it racist? Yet it's gonna happen. It's 1484 01:24:12,200 --> 01:24:16,040 Speaker 1: just a matter of when Missouri is the first state 1485 01:24:16,080 --> 01:24:20,120 Speaker 1: to sue China for coronavirus damages. You can thank the 1486 01:24:20,160 --> 01:24:24,439 Speaker 1: likes of Ben Crenshaw and Tom Cotton for that. The 1487 01:24:24,520 --> 01:24:28,120 Speaker 1: White House is monitoring we you know, apparently Kim Jong 1488 01:24:28,360 --> 01:24:32,519 Speaker 1: u un. His health is in grave danger, according to 1489 01:24:32,720 --> 01:24:34,599 Speaker 1: varying reports that have been out there. He's not been 1490 01:24:34,600 --> 01:24:38,240 Speaker 1: seen publicly more than a week, apparently notably skipped the 1491 01:24:38,280 --> 01:24:43,880 Speaker 1: April fifteenth birthday celebration of his late grandfather, Kim Jung sung, 1492 01:24:44,520 --> 01:24:49,559 Speaker 1: his father's Kim Jong ill. Robert O'Brien, the President's National 1493 01:24:49,600 --> 01:24:53,040 Speaker 1: Security advisor, confirmed that the White House is monitoring reports 1494 01:24:53,439 --> 01:24:56,960 Speaker 1: on the health of Korean dictator Kim Jong un on. 1495 01:24:57,240 --> 01:25:00,080 Speaker 1: They're keeping a close eye, and as they should. I 1496 01:25:00,120 --> 01:25:03,240 Speaker 1: gave you the statistics earlier. The trend lines keep going 1497 01:25:03,360 --> 01:25:08,439 Speaker 1: down dramatically in New York, thankfully, not down enough yet, 1498 01:25:08,520 --> 01:25:10,800 Speaker 1: the lagging indicators down. I mean, we had a high 1499 01:25:10,840 --> 01:25:14,360 Speaker 1: of nearly what seven hundred ninety nine deaths a day 1500 01:25:14,960 --> 01:25:18,639 Speaker 1: in New York. It's now at the last two days 1501 01:25:19,360 --> 01:25:22,320 Speaker 1: for the first time since April first, below five hundred. 1502 01:25:24,120 --> 01:25:27,000 Speaker 1: Still a lot of people, but at least we're going 1503 01:25:27,040 --> 01:25:31,840 Speaker 1: in the right direction. Hospitalizations now or down dramatically, intubations 1504 01:25:31,880 --> 01:25:36,320 Speaker 1: down dramatically. The CUOMO apparently meeting with the President at 1505 01:25:36,320 --> 01:25:39,880 Speaker 1: the White House today. The Corona death rate now is 1506 01:25:39,920 --> 01:25:44,200 Speaker 1: at the lowest in two weeks across the US. JOHNS 1507 01:25:44,280 --> 01:25:47,719 Speaker 1: Hopkins reporting one thousand, four hundred thirty three people died 1508 01:25:47,760 --> 01:25:50,920 Speaker 1: from the virus in twenty four hours ending on April twentieth, 1509 01:25:51,320 --> 01:25:54,720 Speaker 1: today be in the twenty first The death toll now 1510 01:25:54,760 --> 01:25:58,760 Speaker 1: at forty two thousand, comes after more than forty five 1511 01:25:58,840 --> 01:26:02,360 Speaker 1: hundred people died from COVID nineteen in a single twenty 1512 01:26:02,360 --> 01:26:05,160 Speaker 1: four hour period last week. But again, we're looking at 1513 01:26:05,200 --> 01:26:08,240 Speaker 1: trend lines. It's kind of hard to talk about trends 1514 01:26:08,400 --> 01:26:10,880 Speaker 1: when you're talking about real people and real families and 1515 01:26:11,040 --> 01:26:16,160 Speaker 1: real death. We know that a number of new coronavirus 1516 01:26:16,240 --> 01:26:20,040 Speaker 1: cases declined in New York and New Jersey, and Massachusetts 1517 01:26:20,080 --> 01:26:22,599 Speaker 1: has become the latest hot spot we're keeping an eye 1518 01:26:22,600 --> 01:26:26,920 Speaker 1: on that. I'm not sure why at this point. Rhode 1519 01:26:26,920 --> 01:26:29,599 Speaker 1: Island got hit particularly hard because it kind of sits 1520 01:26:29,640 --> 01:26:33,559 Speaker 1: there between Boston and New York, not exactly geographically the 1521 01:26:33,600 --> 01:26:39,840 Speaker 1: best place to be. Joe Biden, you know, it's funny 1522 01:26:39,880 --> 01:26:42,160 Speaker 1: to see Joe Biden puts out an ad against Trump 1523 01:26:42,200 --> 01:26:46,240 Speaker 1: about China because his own son travels on Air Force 1524 01:26:46,360 --> 01:26:50,080 Speaker 1: two in this trip to Asia, including China, and two 1525 01:26:50,120 --> 01:26:52,760 Speaker 1: weeks later it gets a billion dollars deal from the 1526 01:26:52,800 --> 01:26:55,040 Speaker 1: Bank of China. And we don't have any record of 1527 01:26:55,080 --> 01:26:58,720 Speaker 1: any experience in any of you know, I don't know 1528 01:26:58,760 --> 01:27:01,080 Speaker 1: why they wouldn't go to Goldman's Sacks or any of 1529 01:27:01,120 --> 01:27:04,320 Speaker 1: the big banks in America to do this deal. Why 1530 01:27:04,400 --> 01:27:09,759 Speaker 1: they go to Joe Biden's son, zero experienced hunter anyway? 1531 01:27:10,080 --> 01:27:13,799 Speaker 1: He you know, since December twenty nineteen, the Chinese government 1532 01:27:13,800 --> 01:27:18,840 Speaker 1: has actively concealed the severity of this coronavirus. Biden embraced 1533 01:27:19,080 --> 01:27:22,800 Speaker 1: as with a ran a very devish approach on the 1534 01:27:22,840 --> 01:27:26,200 Speaker 1: campaign trail. You know, he dismissed the notion that the 1535 01:27:26,320 --> 01:27:29,599 Speaker 1: US should be worried about China. They're not competition for us. 1536 01:27:29,600 --> 01:27:33,639 Speaker 1: He said, really, China is gonna eat our lunch. Come on, man, 1537 01:27:33,960 --> 01:27:37,000 Speaker 1: that's Joe said that Joe's not had a particularly good 1538 01:27:37,120 --> 01:27:39,800 Speaker 1: day for himself either. But I can get to that 1539 01:27:39,840 --> 01:27:44,599 Speaker 1: in a Secondo's Joe's struggling, Poor Joe. Joe Biden has 1540 01:27:44,640 --> 01:27:47,679 Speaker 1: a lot of issues these days and so science matters, 1541 01:27:47,720 --> 01:27:50,880 Speaker 1: and all Dale's been saying, Governor Wolf is listen to 1542 01:27:50,920 --> 01:27:56,559 Speaker 1: the scientists supply of those masks, ninety six masks, And 1543 01:27:56,760 --> 01:27:59,200 Speaker 1: should the country start to reopen by May first? What 1544 01:27:59,240 --> 01:28:01,679 Speaker 1: do you say to county that have zero to no cases? 1545 01:28:01,880 --> 01:28:05,200 Speaker 1: Should they be allowed to real Look if you take 1546 01:28:05,240 --> 01:28:07,960 Speaker 1: a look at Milwaukee and look at your counties, look 1547 01:28:08,000 --> 01:28:12,559 Speaker 1: at Wisconsin. Generally Milwaukee less than the hospitals in Milwaukee 1548 01:28:12,720 --> 01:28:16,640 Speaker 1: lessan a week's supply that they need. The hospitals have 1549 01:28:16,800 --> 01:28:19,559 Speaker 1: less than a week's supply of goggles and face masks 1550 01:28:19,560 --> 01:28:23,599 Speaker 1: and swabs and shields, and hospitals one third of them 1551 01:28:23,840 --> 01:28:26,439 Speaker 1: have less than a week's supply of those and ninety 1552 01:28:26,479 --> 01:28:30,360 Speaker 1: five masks and excuan ninety six masks. The authority in 1553 01:28:30,439 --> 01:28:32,800 Speaker 1: the Defense Production Act to be able to go, just 1554 01:28:32,960 --> 01:28:35,120 Speaker 1: like you did with general motors, to say bill ventilators. 1555 01:28:35,120 --> 01:28:37,840 Speaker 1: He has the same thing authority to say in order 1556 01:28:37,880 --> 01:28:41,599 Speaker 1: everybody says, Look, there's three things that have to happen, testing, tracking, 1557 01:28:41,640 --> 01:28:48,960 Speaker 1: and treatment, this nominating process because you know so. In 1558 01:28:49,000 --> 01:28:54,000 Speaker 1: the course of one day, Joe Biden bizarrely confused the 1559 01:28:54,040 --> 01:28:57,479 Speaker 1: Pennsylvania Governor Tom Wolf with Dale Wolf, who's the governor 1560 01:28:57,520 --> 01:29:02,519 Speaker 1: of Delaware back in ninety three, he incorrectly said about 1561 01:29:02,640 --> 01:29:06,479 Speaker 1: N ninety five Masks called him N ninety six Masks. Now, 1562 01:29:06,439 --> 01:29:09,559 Speaker 1: I wouldn't matter if it was, you know, somebody that 1563 01:29:09,880 --> 01:29:12,439 Speaker 1: had their act together. But with Joe, it's like, okay, 1564 01:29:12,600 --> 01:29:15,600 Speaker 1: you just know it's part of this pattern. He completely 1565 01:29:15,600 --> 01:29:19,519 Speaker 1: ignored a question about reopening Wisconsin economy and then just 1566 01:29:19,720 --> 01:29:23,280 Speaker 1: you know, reads unrelated talking points located above the camera, 1567 01:29:23,760 --> 01:29:26,519 Speaker 1: and you can tell he's doing it, changing his thoughts 1568 01:29:26,560 --> 01:29:30,040 Speaker 1: completely mid sentence, looking down into his notes, bumbling and 1569 01:29:30,120 --> 01:29:33,320 Speaker 1: bumbling about testing, tracking and treatment. It's it's all written 1570 01:29:33,360 --> 01:29:35,600 Speaker 1: out in front of him. On top of it, he 1571 01:29:35,640 --> 01:29:39,880 Speaker 1: confused Labor Day with Memorial Day. Great job, Joe. Now 1572 01:29:39,880 --> 01:29:42,599 Speaker 1: he's attacking the president. He's been missing in action. I mean, 1573 01:29:42,640 --> 01:29:45,880 Speaker 1: what does this guy do every day? You know them, 1574 01:29:46,920 --> 01:29:49,439 Speaker 1: I will tell you it's these are unbelievable times we 1575 01:29:49,479 --> 01:29:51,240 Speaker 1: live in and the mob in the media. There's nothing 1576 01:29:51,320 --> 01:29:52,960 Speaker 1: Donald Trump can do that is ever going to be 1577 01:29:53,040 --> 01:29:56,759 Speaker 1: right for them. And you know it doesn't the lies 1578 01:29:56,800 --> 01:30:00,280 Speaker 1: of Joe Biden. It's all gonna come to I'm going 1579 01:30:00,280 --> 01:30:02,240 Speaker 1: to get to this right, Let's get to the phones here, 1580 01:30:02,280 --> 01:30:07,080 Speaker 1: real quick, let's say hi to Ashley San Diego. What's up, Ashley? 1581 01:30:07,080 --> 01:30:10,479 Speaker 1: How are you hi? Hi? Um? I just want to 1582 01:30:10,479 --> 01:30:13,559 Speaker 1: thank you for your show for waking me up, because 1583 01:30:13,720 --> 01:30:16,439 Speaker 1: I feel like I've been brainwashed by the media the 1584 01:30:16,560 --> 01:30:21,000 Speaker 1: last ten years or so, and I think I think 1585 01:30:21,040 --> 01:30:24,040 Speaker 1: stuff's going to come out that is gonna shock everyone, honestly. 1586 01:30:24,439 --> 01:30:27,639 Speaker 1: And I just noticed that like MSN and CNN, they 1587 01:30:27,760 --> 01:30:31,320 Speaker 1: report the exact opposite of what Trump says in his 1588 01:30:31,400 --> 01:30:35,719 Speaker 1: life breakings or he or they exaggerated. I started watching 1589 01:30:35,720 --> 01:30:37,840 Speaker 1: his life breakings and then I would go back to 1590 01:30:38,000 --> 01:30:40,800 Speaker 1: CNN and MSN and my mind was blowing, like I 1591 01:30:40,840 --> 01:30:44,120 Speaker 1: love Trump. Now this whole thing is like, really showed 1592 01:30:44,160 --> 01:30:49,040 Speaker 1: me what is going on. Well, once you see media bias, 1593 01:30:49,160 --> 01:30:52,040 Speaker 1: once you sort of open your eyes to it, isn't 1594 01:30:52,040 --> 01:30:55,160 Speaker 1: it funny? How like it justice? It's like, how did 1595 01:30:55,160 --> 01:30:58,679 Speaker 1: I not see this before? It is that I had 1596 01:30:58,720 --> 01:31:02,519 Speaker 1: like multiple epiphanies. Yeah, well, I gotta I gotta put 1597 01:31:02,520 --> 01:31:04,240 Speaker 1: you on hold. Ashley. Thanks for a great qual I 1598 01:31:04,240 --> 01:31:06,120 Speaker 1: wish you're the best out in San Diego. I wish 1599 01:31:06,160 --> 01:31:09,200 Speaker 1: I was out there with you. Actually, the President's Task 1600 01:31:09,200 --> 01:31:12,240 Speaker 1: Force is beginning and prestations along the Sean Hannity showed 1601 01:31:12,280 --> 01:31:15,600 Speaker 1: network will take this to the end. Well, thank you 1602 01:31:15,680 --> 01:31:22,040 Speaker 1: very much everyone for every big day today. I want 1603 01:31:22,080 --> 01:31:28,280 Speaker 1: to start by saying that our love and prayers if 1604 01:31:28,320 --> 01:31:32,360 Speaker 1: every American continue to be with our fellow citizens who 1605 01:31:32,400 --> 01:31:35,479 Speaker 1: have lost the cherish friend or family member to the virus. 1606 01:31:36,439 --> 01:31:42,639 Speaker 1: Amidst our grief. We're making tremendous strides against this invisible enemy, 1607 01:31:43,479 --> 01:31:46,360 Speaker 1: thanks to our aggressive campaign against the virus and the 1608 01:31:46,439 --> 01:31:51,200 Speaker 1: extraordinary talent of our medical professionals. Or mortality rate remains 1609 01:31:51,320 --> 01:31:55,400 Speaker 1: roughly half of that of many other countries and one 1610 01:31:55,400 --> 01:31:59,000 Speaker 1: of the lowest of any country in the world. And 1611 01:31:59,320 --> 01:32:02,200 Speaker 1: that's due to a lot of a lot of things. 1612 01:32:02,320 --> 01:32:06,439 Speaker 1: But our medical professionals have been incredible. Since we announced 1613 01:32:06,479 --> 01:32:10,479 Speaker 1: our guidelines on opening up America as we call it, 1614 01:32:10,560 --> 01:32:13,200 Speaker 1: we say opening up America, and we add the word again. 1615 01:32:13,760 --> 01:32:17,080 Speaker 1: I think we can add the word probably again, but 1616 01:32:17,760 --> 01:32:21,080 Speaker 1: that's what it is. We're opening up America again. Twenty states, 1617 01:32:21,160 --> 01:32:24,240 Speaker 1: representing forty percent of the US population, have announced that 1618 01:32:24,800 --> 01:32:29,639 Speaker 1: they are making plans and preparations to safely restart their 1619 01:32:29,680 --> 01:32:34,360 Speaker 1: economies in the very near future. So that's twenty states. 1620 01:32:34,600 --> 01:32:37,559 Speaker 1: It's about forty percent of our country. They're moving along 1621 01:32:37,800 --> 01:32:42,360 Speaker 1: pretty quickly. Three announced today, as you know, and they're 1622 01:32:42,360 --> 01:32:44,400 Speaker 1: going to be doing it safely. They're going to be 1623 01:32:44,479 --> 01:32:48,880 Speaker 1: doing it with tremendous passions. They want to get back 1624 01:32:48,880 --> 01:32:51,240 Speaker 1: to work. The country wants to get back to work. 1625 01:32:52,479 --> 01:32:55,599 Speaker 1: A short time ago, the Senate passed the Paycheck Protection 1626 01:32:55,680 --> 01:33:01,120 Speaker 1: Program and Healthcare Enhancement Act, with additional funding for the 1627 01:33:01,200 --> 01:33:06,280 Speaker 1: Paycheck Protection Program, hospitals, and testing, a lot of money 1628 01:33:06,320 --> 01:33:10,040 Speaker 1: for all of them, especially for our workers and our 1629 01:33:11,000 --> 01:33:15,000 Speaker 1: small businesses. My administration has worked aggressively with Congress to 1630 01:33:15,080 --> 01:33:19,080 Speaker 1: negotiate this critical four hundred and eighty two billion dollars 1631 01:33:19,280 --> 01:33:23,360 Speaker 1: funding package. We reached a deal that includes three hundred 1632 01:33:23,400 --> 01:33:26,960 Speaker 1: and eighty two billion dollars and crucial small business support 1633 01:33:27,000 --> 01:33:30,639 Speaker 1: to keep workers on the payroll, seventy five billion dollars 1634 01:33:30,680 --> 01:33:35,519 Speaker 1: to aid hospitals which really need the aid and very badly, 1635 01:33:35,840 --> 01:33:39,640 Speaker 1: very proud of that, and twenty five billion dollars to 1636 01:33:39,680 --> 01:33:44,800 Speaker 1: support coronavirus testing efforts. I urged the House to pass 1637 01:33:44,840 --> 01:33:47,200 Speaker 1: the bill, and they're going to be votgoned, I imagine 1638 01:33:47,320 --> 01:33:51,120 Speaker 1: very very soon, I think while we're here. And so 1639 01:33:51,240 --> 01:33:54,240 Speaker 1: he's a very busy managed you know, Secret Terminuchin, he's 1640 01:33:54,280 --> 01:33:56,800 Speaker 1: going to be running back, so I thought would do 1641 01:33:57,360 --> 01:33:59,800 Speaker 1: We'll talk about that now and we'll take a couple 1642 01:33:59,840 --> 01:34:01,840 Speaker 1: of questions on that, and then he can go and 1643 01:34:02,880 --> 01:34:07,040 Speaker 1: start Phase four. As the ink is drank. Probably they'll 1644 01:34:07,040 --> 01:34:11,280 Speaker 1: be voting tomorrow in the House, but shortly, shortly, and 1645 01:34:11,320 --> 01:34:15,200 Speaker 1: I think we have tremendous support, So Steve, please come 1646 01:34:15,280 --> 01:34:19,320 Speaker 1: up safely. Words Steve, Yeah, Thank you, mister President, and 1647 01:34:19,720 --> 01:34:22,280 Speaker 1: thank you for all your work with us to get 1648 01:34:22,320 --> 01:34:25,960 Speaker 1: this passed. I'd especially like to thank Mitch McConnell and 1649 01:34:26,040 --> 01:34:29,760 Speaker 1: Chuck Schumer in the entire Senate for passing this. I'd 1650 01:34:29,760 --> 01:34:33,800 Speaker 1: also like to thank Kevin McCarthy and Nancy Pelosi who 1651 01:34:33,880 --> 01:34:36,120 Speaker 1: have been working with us around the clock as well, 1652 01:34:36,200 --> 01:34:39,120 Speaker 1: and our chief of staff, Mark Meadows, who was also 1653 01:34:39,479 --> 01:34:43,519 Speaker 1: very instrumental in this. Let me just comment, we've had 1654 01:34:43,560 --> 01:34:47,080 Speaker 1: tremendous support for the PPP. This gives us another three 1655 01:34:47,240 --> 01:34:50,840 Speaker 1: hundred and ten billion dollars for the PPP. We look 1656 01:34:50,840 --> 01:34:53,400 Speaker 1: forward to the House passing this tomorrow and being up 1657 01:34:53,400 --> 01:34:57,000 Speaker 1: and running quickly after that. This also gives US fifty 1658 01:34:57,000 --> 01:35:00,840 Speaker 1: billion dollars for disaster loans IDLE that will allow the 1659 01:35:01,000 --> 01:35:05,559 Speaker 1: SBA to make three hundred billion dollars of disaster loans, 1660 01:35:05,680 --> 01:35:10,639 Speaker 1: all for small businesses. Also allows us, as the President said, 1661 01:35:10,760 --> 01:35:15,599 Speaker 1: more money to hospitals and unprecedented amount of money for testing. 1662 01:35:16,000 --> 01:35:19,200 Speaker 1: And again, I think we understand hospitals, not only the 1663 01:35:19,240 --> 01:35:22,240 Speaker 1: hospitals that have been impacted by coronavirus, but more importantly 1664 01:35:22,280 --> 01:35:25,400 Speaker 1: many hospitals that have been shut down and making sure 1665 01:35:25,439 --> 01:35:28,680 Speaker 1: that the doctors and nurses get money. Now, let me 1666 01:35:28,720 --> 01:35:31,519 Speaker 1: make just one more comment on the program. We have 1667 01:35:31,640 --> 01:35:35,760 Speaker 1: over a million companies that have received this with less 1668 01:35:35,800 --> 01:35:40,439 Speaker 1: than ten workers, so there is very broad participation in 1669 01:35:41,240 --> 01:35:44,559 Speaker 1: really small business. I will comment there have been some 1670 01:35:44,640 --> 01:35:48,519 Speaker 1: big businesses that have taken these loans. I was pleased 1671 01:35:48,520 --> 01:35:51,280 Speaker 1: to see the shake Shack return to the money. We 1672 01:35:51,320 --> 01:35:54,000 Speaker 1: will be putting out some fa queues. There is a 1673 01:35:54,040 --> 01:35:58,000 Speaker 1: certification that people are making and I ask people just 1674 01:35:58,080 --> 01:36:00,920 Speaker 1: make sure the intent of this was business that needed 1675 01:36:00,920 --> 01:36:03,519 Speaker 1: the money. Will put out an fa q. But again 1676 01:36:03,560 --> 01:36:06,040 Speaker 1: the intent of this money was not for big public 1677 01:36:06,080 --> 01:36:09,200 Speaker 1: companies that have access to capital. The Harvard so you 1678 01:36:09,320 --> 01:36:12,760 Speaker 1: might say, so, so, mister secretary, are you going to 1679 01:36:13,080 --> 01:36:15,840 Speaker 1: request that those other companies. Obviously, Shakeshack was not a 1680 01:36:15,880 --> 01:36:18,760 Speaker 1: loan in being a big company that they got money 1681 01:36:18,760 --> 01:36:20,840 Speaker 1: in this are you're going to be You're gonna ask 1682 01:36:20,880 --> 01:36:24,519 Speaker 1: them to return that money. Yeah, Yeah, Harvard's going to 1683 01:36:24,560 --> 01:36:27,360 Speaker 1: pay back the money and they shouldn't be taking it. 1684 01:36:27,520 --> 01:36:30,760 Speaker 1: So Harvard's going to you have a number of I'm 1685 01:36:30,760 --> 01:36:32,320 Speaker 1: not going to make you any other names, but when 1686 01:36:32,320 --> 01:36:35,679 Speaker 1: I saw Harvard, they have a one of the largest 1687 01:36:35,760 --> 01:36:39,120 Speaker 1: endowments anywhere in the country, maybe in the world, I guess, 1688 01:36:39,680 --> 01:36:42,280 Speaker 1: and they're going to pay back that money. I just 1689 01:36:42,320 --> 01:36:45,559 Speaker 1: I just want to clarify because certain people on the 1690 01:36:45,600 --> 01:36:49,240 Speaker 1: PPP may have not been clear and understanding the certification. 1691 01:36:49,479 --> 01:36:51,479 Speaker 1: So we will give people the benefit of the doubt. 1692 01:36:51,479 --> 01:36:54,400 Speaker 1: We're going to put an fa Q out explain the certification. 1693 01:36:55,000 --> 01:36:57,599 Speaker 1: If you pay back the loan right away, you won't 1694 01:36:57,600 --> 01:37:00,639 Speaker 1: have liability to the SPA and to try. But there 1695 01:37:00,640 --> 01:37:06,120 Speaker 1: are severe consequences for people who don't attest properly this certification. 1696 01:37:06,479 --> 01:37:08,160 Speaker 1: And again, we want to make sure this money is 1697 01:37:08,160 --> 01:37:12,559 Speaker 1: available to small businesses that needed people who have invested 1698 01:37:12,600 --> 01:37:16,160 Speaker 1: their entire life savings. We appreciate what's going on, and 1699 01:37:16,400 --> 01:37:18,559 Speaker 1: they're hiring people back. How are you going to ensure 1700 01:37:18,560 --> 01:37:22,679 Speaker 1: that those small businesses, the small restaurants, cafes, bars, who 1701 01:37:22,760 --> 01:37:25,160 Speaker 1: did not get the money last time around, they're going 1702 01:37:25,200 --> 01:37:27,400 Speaker 1: to get at this time. Well, as I said, you know, 1703 01:37:27,400 --> 01:37:29,800 Speaker 1: there are a million a million of these companies that 1704 01:37:29,840 --> 01:37:31,599 Speaker 1: did get it that are very small. We're working with 1705 01:37:31,600 --> 01:37:36,200 Speaker 1: the banks were extremely placed that the small banks did great. 1706 01:37:36,439 --> 01:37:38,559 Speaker 1: Twenty percent of the loans were made by banks of 1707 01:37:38,560 --> 01:37:43,120 Speaker 1: a billion and less, sixty by twenty billion in less 1708 01:37:43,240 --> 01:37:46,200 Speaker 1: and the big banks also. We want everybody to participate. 1709 01:37:46,240 --> 01:37:48,120 Speaker 1: There's now a lot of money back in the program 1710 01:37:48,439 --> 01:37:51,080 Speaker 1: and we look forward to all these small businesses getting 1711 01:37:51,080 --> 01:37:53,400 Speaker 1: access to fund. Brett, It's great to see you here. 1712 01:37:53,439 --> 01:37:56,840 Speaker 1: Now you perspecting and you know estimate how long this 1713 01:37:56,920 --> 01:37:59,080 Speaker 1: is going to take. That other ton of money obviously 1714 01:37:59,400 --> 01:38:02,040 Speaker 1: went quickly to assume this is going to do quickly 1715 01:38:02,040 --> 01:38:04,280 Speaker 1: as well. Well, let me just say, I mean, you know, 1716 01:38:04,360 --> 01:38:07,360 Speaker 1: kind of we're pleased with the success of this program 1717 01:38:07,400 --> 01:38:10,479 Speaker 1: and how quickly this got up operationally. We've we've put 1718 01:38:10,520 --> 01:38:12,760 Speaker 1: out more money in these SBA loans than in the 1719 01:38:12,840 --> 01:38:15,880 Speaker 1: last ten years of SBA. So I want to thank 1720 01:38:15,920 --> 01:38:19,040 Speaker 1: all the banks that have worked really hard. We knew 1721 01:38:19,280 --> 01:38:22,439 Speaker 1: that when we passed this originally, if there was full 1722 01:38:22,439 --> 01:38:25,000 Speaker 1: take out, we wouldn't have enough money. That's why we've 1723 01:38:25,040 --> 01:38:27,479 Speaker 1: worked with Congress for more money. And this is gonna 1724 01:38:27,560 --> 01:38:30,760 Speaker 1: you know, we've already impacted about thirty million workers. Uh, 1725 01:38:30,960 --> 01:38:32,920 Speaker 1: there'll there'll be a lot more. So we look forward 1726 01:38:32,960 --> 01:38:36,280 Speaker 1: to this having a big impact on the economy. Yes, 1727 01:38:36,320 --> 01:38:38,840 Speaker 1: through the presence that we look into an issue of lens, 1728 01:38:38,920 --> 01:38:43,000 Speaker 1: those primal conditions getting access to some of these programs, 1729 01:38:43,280 --> 01:38:46,200 Speaker 1: even update on added, so we worked with the White 1730 01:38:46,200 --> 01:38:50,479 Speaker 1: House on this. There were actually much more onerous restrictions 1731 01:38:50,560 --> 01:38:54,120 Speaker 1: in the SBA program. There were people who had misdemeanors 1732 01:38:54,160 --> 01:38:56,280 Speaker 1: that that weren't allowed to access the program. It was 1733 01:38:56,360 --> 01:38:59,599 Speaker 1: much longer than five years. And you know, we very 1734 01:38:59,640 --> 01:39:02,759 Speaker 1: much because of the criminal reform legislation that was passed. 1735 01:39:02,800 --> 01:39:04,400 Speaker 1: In the work that's been done in the White House 1736 01:39:04,439 --> 01:39:07,920 Speaker 1: by Jared and others, we specifically designed the program and 1737 01:39:08,000 --> 01:39:11,280 Speaker 1: the five years was significantly shorter than what had been 1738 01:39:11,320 --> 01:39:13,280 Speaker 1: done before. So we had already taken that into ac 1739 01:39:14,800 --> 01:39:16,160 Speaker 1: For now, we're not going to do that, but I 1740 01:39:16,200 --> 01:39:18,599 Speaker 1: want to just emphasize we did take this into account. 1741 01:39:18,600 --> 01:39:21,800 Speaker 1: There were a lot of people that wouldn't have access previously, 1742 01:39:22,000 --> 01:39:25,720 Speaker 1: and we change those regulations. The President talked about a 1743 01:39:25,720 --> 01:39:29,519 Speaker 1: Phase four. I know we all understand the circumstances and 1744 01:39:29,520 --> 01:39:32,519 Speaker 1: why businesses need this, but how many more phases can 1745 01:39:32,560 --> 01:39:35,640 Speaker 1: we afford to have or can businesses expect to have? 1746 01:39:36,320 --> 01:39:40,120 Speaker 1: Do you see phase five, of Phase six, of phase seven? 1747 01:39:40,520 --> 01:39:42,439 Speaker 1: What's you're thinking on this? Well, first of all, I 1748 01:39:42,600 --> 01:39:45,600 Speaker 1: very much appreciate the President's support for Phase four. He 1749 01:39:45,680 --> 01:39:48,439 Speaker 1: put out a tweet as the President said we would 1750 01:39:48,520 --> 01:39:52,160 Speaker 1: look forward to Phase four would be infrastructure. The President's 1751 01:39:52,160 --> 01:39:56,840 Speaker 1: been talking about infrastructure since the campaign. Roads, bridges, broadband, 1752 01:39:56,960 --> 01:40:01,240 Speaker 1: especially broadband now to rural America's is very important. We've 1753 01:40:01,280 --> 01:40:06,600 Speaker 1: talked about incentives for restaurants, sports, entertainment because these businesses 1754 01:40:06,600 --> 01:40:10,320 Speaker 1: have been impacted. The President has talked multiple times about 1755 01:40:10,360 --> 01:40:14,040 Speaker 1: a payroll tax cut, and we've also we're talking about 1756 01:40:14,080 --> 01:40:16,920 Speaker 1: in the case of states, the states we've heard from 1757 01:40:16,920 --> 01:40:19,760 Speaker 1: the governors and the fiscal issues of the states. I 1758 01:40:19,800 --> 01:40:24,120 Speaker 1: think Phase four will most likely be what we need. 1759 01:40:24,720 --> 01:40:27,240 Speaker 1: I think based upon what we're seeing on the reopening 1760 01:40:27,240 --> 01:40:29,360 Speaker 1: of the economy and the amount of money we're putting 1761 01:40:29,400 --> 01:40:32,280 Speaker 1: in and working with the Federal Reserve on thirteen three, 1762 01:40:32,479 --> 01:40:34,320 Speaker 1: I think you're going to see a lot of liquidity, 1763 01:40:34,680 --> 01:40:38,639 Speaker 1: and we look forward to business rebounding, especially later this summer. 1764 01:40:38,880 --> 01:40:41,240 Speaker 1: Just real quick to follow up in the PPP program, 1765 01:40:41,600 --> 01:40:43,599 Speaker 1: is this the last trunch of money you think you're 1766 01:40:43,600 --> 01:40:45,920 Speaker 1: going to need for small businesses? Would expect