1 00:00:00,160 --> 00:00:03,520 Speaker 1: Welcome to Worst Year Ever, a production of My Heart Radio. 2 00:00:06,680 --> 00:00:21,480 Speaker 1: Well together everything, so don't don't. We're all gonna die 3 00:00:21,480 --> 00:00:25,520 Speaker 1: of the coronavirus. Talking about you, the listener, I'm talking 4 00:00:25,560 --> 00:00:30,560 Speaker 1: about Katie Johnston, Cody Stole, and myself, Robert Evans, who 5 00:00:30,840 --> 00:00:35,320 Speaker 1: we're all at at. Robert john I'm so sorry. We're 6 00:00:35,320 --> 00:00:38,240 Speaker 1: in a live show last Sunday behind bastards and we 7 00:00:38,479 --> 00:00:40,519 Speaker 1: shake a lot of hands, and we hugged a lot 8 00:00:40,520 --> 00:00:43,760 Speaker 1: of people and we are certainly infected with the coronavirus. 9 00:00:43,880 --> 00:00:45,720 Speaker 1: We shook a lot of hands. Yeah, so we are. 10 00:00:46,200 --> 00:00:49,720 Speaker 1: This is it for us? A lot of hands after Yeah, 11 00:00:49,720 --> 00:00:52,680 Speaker 1: it doesn't matter. I love you guys, I love you all. 12 00:00:52,760 --> 00:00:55,720 Speaker 1: I don't trust germs. We're doomed and the only thing 13 00:00:55,760 --> 00:00:58,880 Speaker 1: to do is to find representative Matt Gates and give 14 00:00:58,960 --> 00:01:01,800 Speaker 1: them real big hugs. Just make sure we can all 15 00:01:01,800 --> 00:01:04,680 Speaker 1: be infected together. Yeah, I've always wanted to lick or 16 00:01:04,760 --> 00:01:08,760 Speaker 1: not Katie or not or not that's right or maybe 17 00:01:08,920 --> 00:01:12,880 Speaker 1: I don't know. I'm not gonna ruined. Cody's dream of 18 00:01:13,120 --> 00:01:16,800 Speaker 1: licking Matt Gates is thank you. This fun intro. It 19 00:01:16,920 --> 00:01:20,080 Speaker 1: is a fun intro. Thinking you're welcome. It serves to 20 00:01:20,160 --> 00:01:23,120 Speaker 1: let you know that we're talking about coronavirus today and 21 00:01:23,200 --> 00:01:25,520 Speaker 1: not just like the virus itself as an actual virus, 22 00:01:25,560 --> 00:01:28,000 Speaker 1: because like it really is not like the craziest thing 23 00:01:28,000 --> 00:01:30,000 Speaker 1: in the world that's ever broke out, Like we all 24 00:01:30,000 --> 00:01:31,880 Speaker 1: lived through the AIDS epidemic, or at least a chunk 25 00:01:31,880 --> 00:01:35,319 Speaker 1: of it, and that's a way wilder disease. But the 26 00:01:35,360 --> 00:01:37,600 Speaker 1: decisions that Trump administration has made, what it's going to 27 00:01:37,680 --> 00:01:39,560 Speaker 1: do to the economy, and the impact it's likely to 28 00:01:39,600 --> 00:01:43,080 Speaker 1: have on the election all very important things to talk about. 29 00:01:43,360 --> 00:01:45,360 Speaker 1: I first want to deal with the elephant in the room, 30 00:01:45,400 --> 00:01:50,520 Speaker 1: which is that somehow a container of mints was burst 31 00:01:50,680 --> 00:01:54,680 Speaker 1: by a machete minutes before starting this episode. That, Yeah, 32 00:01:54,720 --> 00:01:57,320 Speaker 1: it was weird, Like I was looking away and all 33 00:01:57,320 --> 00:01:59,680 Speaker 1: of a sudden, I hear this machete swing and mints 34 00:01:59,720 --> 00:02:01,960 Speaker 1: fly throughout the rail. Yeah, look up, and it's just 35 00:02:02,000 --> 00:02:07,080 Speaker 1: a floating machete. To be careful with your words. Are 36 00:02:07,120 --> 00:02:09,360 Speaker 1: my favorite one minute ago, I was your favorite a 37 00:02:09,360 --> 00:02:12,480 Speaker 1: minute ago. It was hovering. But then I opened my 38 00:02:12,560 --> 00:02:15,160 Speaker 1: other eye and I was like, oh, Robert's doing it. 39 00:02:17,000 --> 00:02:21,040 Speaker 1: And this ties into the presidential response to the coronavirus, 40 00:02:21,040 --> 00:02:23,880 Speaker 1: because sometimes bad things happen and no one is at 41 00:02:23,880 --> 00:02:27,560 Speaker 1: fault at all, because there's that can be done, nothing 42 00:02:27,600 --> 00:02:29,680 Speaker 1: that he could have been done Differently, I don't like 43 00:02:29,760 --> 00:02:32,800 Speaker 1: the way this conversation is going, especially while I'm bleeding. 44 00:02:34,160 --> 00:02:36,280 Speaker 1: That was not as a result of my swing, but 45 00:02:36,320 --> 00:02:39,120 Speaker 1: it was your machete and cut my finger to protect 46 00:02:39,200 --> 00:02:41,839 Speaker 1: my dog from getting poisoned by mints, because you hit 47 00:02:41,840 --> 00:02:44,960 Speaker 1: the mids with the machete. And I'm angry. I'm very angry, 48 00:02:45,080 --> 00:02:47,280 Speaker 1: not at you, Katie. Not you could not you didn't, Robert, 49 00:02:47,280 --> 00:02:50,919 Speaker 1: I'm angry. One could argue, one could argue that your 50 00:02:51,919 --> 00:02:55,640 Speaker 1: one could argue losses that if you had left my hands. 51 00:02:55,800 --> 00:02:59,079 Speaker 1: One could argue that you should not try to kill 52 00:02:59,200 --> 00:03:02,919 Speaker 1: my dog and then try to I feel like most 53 00:03:02,960 --> 00:03:06,840 Speaker 1: people would argue that. But thank you, thank you, they 54 00:03:06,880 --> 00:03:11,919 Speaker 1: do not kill I'm gonna probably direct this back. We're 55 00:03:11,960 --> 00:03:13,800 Speaker 1: never going to have a resolution as to who swung 56 00:03:13,840 --> 00:03:19,560 Speaker 1: the mission fingers, but we do have a lot to 57 00:03:19,560 --> 00:03:23,600 Speaker 1: get through about the corona. Katie, if coronavirus didn't exist, 58 00:03:23,720 --> 00:03:25,760 Speaker 1: would you kiss my finger to make it feel bad? Yes? 59 00:03:25,760 --> 00:03:29,840 Speaker 1: I would, Okay, thank you, Gonna get a kiss Katie 60 00:03:29,880 --> 00:03:32,000 Speaker 1: is not my favorite. You may continue with your show, 61 00:03:32,080 --> 00:03:36,680 Speaker 1: Katie and Cody and guest Robert. So thanks for joining 62 00:03:36,720 --> 00:03:42,520 Speaker 1: us today. Guest Robert, thank you for having met cut 63 00:03:42,600 --> 00:03:47,800 Speaker 1: no action. Christopher's my name, Daniel knows what's up? Daniel? 64 00:03:47,960 --> 00:03:50,839 Speaker 1: Not the soundproofing off the wall. Jesus would a train wreck. 65 00:03:50,840 --> 00:03:55,120 Speaker 1: I'm so sorry, kati um. Why don't we get started, Robert, 66 00:03:55,360 --> 00:03:58,040 Speaker 1: you wanted to talk a little bit about the response 67 00:03:58,680 --> 00:04:03,080 Speaker 1: to the outbreak that we've seen from this administration and 68 00:04:03,120 --> 00:04:06,760 Speaker 1: how they're handling it. Bingo, Bengo, I'm really at the 69 00:04:06,840 --> 00:04:09,320 Speaker 1: edge of my seat. You're going to say, well, and 70 00:04:10,560 --> 00:04:13,920 Speaker 1: that is literally all I wrote. Three thousand, seven eighty 71 00:04:14,000 --> 00:04:17,360 Speaker 1: nine words, and then I just deleted them all and wrote, well, okay, 72 00:04:18,080 --> 00:04:21,680 Speaker 1: the Trump done well, he done well, he did it well, 73 00:04:22,279 --> 00:04:23,840 Speaker 1: A well trained wreck. Do you remember any of this 74 00:04:23,880 --> 00:04:25,760 Speaker 1: stuff that you deleted? I don't know. I could try 75 00:04:25,800 --> 00:04:29,200 Speaker 1: to read this essay. Maybe let's from memory. Let's see 76 00:04:29,200 --> 00:04:32,080 Speaker 1: if I recall it. In two thousand eighteen, the CDC 77 00:04:32,240 --> 00:04:35,560 Speaker 1: cut of its efforts to prevent global disease outbreaks using 78 00:04:35,600 --> 00:04:38,479 Speaker 1: its operations in that sphere from forty nine countries to ten. 79 00:04:39,680 --> 00:04:42,080 Speaker 1: That same year and official with the Global Health Security 80 00:04:42,120 --> 00:04:45,040 Speaker 1: Unit of the National Security Council made a great prediction. 81 00:04:45,480 --> 00:04:50,240 Speaker 1: There's two eighteen pretty pretty recently, right, I forget who 82 00:04:50,279 --> 00:04:51,880 Speaker 1: was president in two thou eighteen, and there's no way 83 00:04:51,920 --> 00:04:54,840 Speaker 1: to find out. Though. The threat of pandemic flu is 84 00:04:54,880 --> 00:04:58,240 Speaker 1: the number one health security concern. Are we ready to respond? 85 00:04:58,520 --> 00:05:02,200 Speaker 1: I fear the answer is no. Now you get warned 86 00:05:02,200 --> 00:05:04,320 Speaker 1: by that of that, by someone from the Health Security 87 00:05:04,360 --> 00:05:06,440 Speaker 1: Unit of the National Security Council, you would assume right 88 00:05:06,600 --> 00:05:09,360 Speaker 1: that that being told we're not ready to respond to, 89 00:05:09,760 --> 00:05:12,920 Speaker 1: action would be taken, right, And it was. Action was taken. 90 00:05:13,120 --> 00:05:16,760 Speaker 1: The Trump administration actually acted the very next day and 91 00:05:16,800 --> 00:05:18,960 Speaker 1: shut down the Global Health Security Unit of the National 92 00:05:19,000 --> 00:05:25,599 Speaker 1: Security Council. Swift action. Very what swipp You can't you 93 00:05:25,640 --> 00:05:28,680 Speaker 1: can't fault them on speed. You need to start talking 94 00:05:28,720 --> 00:05:35,080 Speaker 1: to this president like a reverse psychology. Yeah, yes, you 95 00:05:35,160 --> 00:05:39,520 Speaker 1: definitely want to do like a child. Like a child. 96 00:05:39,839 --> 00:05:43,880 Speaker 1: There's multiple stories from reputable journalists about how some of 97 00:05:43,920 --> 00:05:46,160 Speaker 1: his aids have taken that exact tack to try to 98 00:05:46,160 --> 00:05:50,000 Speaker 1: stop him from damaging things. Yeah, there's a long thread. 99 00:05:50,040 --> 00:05:51,760 Speaker 1: I feel like there's like a thousand tweets in it. 100 00:05:51,839 --> 00:05:53,880 Speaker 1: Now of just like quotes from aids and people be 101 00:05:53,960 --> 00:05:55,839 Speaker 1: kind the scenes, like oh, this is him being treated 102 00:05:55,880 --> 00:05:58,440 Speaker 1: like a child so that he doesn't kill us all. Oh, 103 00:05:58,480 --> 00:06:01,800 Speaker 1: here's here's how they him into reading information that he 104 00:06:01,880 --> 00:06:04,440 Speaker 1: needs to know. We're going to get is one of 105 00:06:04,440 --> 00:06:06,440 Speaker 1: my predictions from ten years from now. We're going to 106 00:06:06,480 --> 00:06:09,040 Speaker 1: get a book from somebody who works in this White 107 00:06:09,040 --> 00:06:12,600 Speaker 1: House now years and there will be a moment in 108 00:06:12,640 --> 00:06:15,400 Speaker 1: that book where this person has a new child who's 109 00:06:15,480 --> 00:06:18,360 Speaker 1: four or five years old, and they learn something dealing 110 00:06:18,360 --> 00:06:20,760 Speaker 1: with that child's temper tantrum that they apply the next 111 00:06:20,839 --> 00:06:22,880 Speaker 1: day in the Oval office. That is going to be 112 00:06:22,920 --> 00:06:25,479 Speaker 1: a thing that we all remember me when this happens. 113 00:06:26,640 --> 00:06:29,480 Speaker 1: I can only imagine those conversations too, like oh, yeah, 114 00:06:29,520 --> 00:06:31,839 Speaker 1: I'm a new parent and I find that this works. 115 00:06:31,880 --> 00:06:34,640 Speaker 1: I find that this works with my three year olds. Right, 116 00:06:35,279 --> 00:06:38,679 Speaker 1: they're cranky and you give them a treat. Yeah, diet coke, 117 00:06:39,360 --> 00:06:42,839 Speaker 1: diet coke, diet coke. Don't give children diet. Don't drink 118 00:06:42,920 --> 00:06:47,680 Speaker 1: diet coke suffect. You'll sleep at un Now you want 119 00:06:47,680 --> 00:06:51,760 Speaker 1: your bank banky. He doesn't want his banky obviously, Well, 120 00:06:51,839 --> 00:06:55,040 Speaker 1: button for nukes and then a bigger button for diet 121 00:06:55,040 --> 00:06:58,640 Speaker 1: coke makes as long as the diet coke buttons bigger 122 00:06:58,680 --> 00:07:01,880 Speaker 1: will be okay, exactly, all right, tell us more please. 123 00:07:02,360 --> 00:07:05,159 Speaker 1: So Trump shuts that office down. And this was part 124 00:07:05,200 --> 00:07:08,279 Speaker 1: of fifteen billion dollars in reductions to national health spending 125 00:07:08,320 --> 00:07:11,800 Speaker 1: under his administration. And so when the first confirmed coronavirus 126 00:07:11,800 --> 00:07:14,760 Speaker 1: case made its way over to the US in late January, 127 00:07:14,760 --> 00:07:17,640 Speaker 1: our national health care infrastructure was wildly unprepared to meet 128 00:07:17,680 --> 00:07:21,200 Speaker 1: the challenge. Still, experts attempted to brief the president. The 129 00:07:21,240 --> 00:07:24,400 Speaker 1: Washington Post reports that in January, Health and Human Services 130 00:07:24,400 --> 00:07:28,560 Speaker 1: Secretary Alex Asar was quote having trouble focusing Trump's full 131 00:07:28,560 --> 00:07:32,000 Speaker 1: attention on his coronavirus briefing rather than focus on the facts. 132 00:07:32,040 --> 00:07:34,760 Speaker 1: Trump repeatedly asked Asar, why did you push me to 133 00:07:34,760 --> 00:07:38,440 Speaker 1: insert myself into a controversial political issue by as are 134 00:07:38,480 --> 00:07:45,680 Speaker 1: saying you should address this President. I feel good, feel good. 135 00:07:45,880 --> 00:07:52,120 Speaker 1: Everybody's happy. This is not surprising. Unfortunately, so health officials 136 00:07:52,200 --> 00:07:54,600 Speaker 1: desperately warren Trump and his mouth pieces not to say 137 00:07:54,600 --> 00:07:57,400 Speaker 1: the virus had been contained, because it hadn't. But for 138 00:07:57,720 --> 00:08:00,840 Speaker 1: folks like Economic Advisor Lawrence could Look continued to repeat 139 00:08:00,840 --> 00:08:02,840 Speaker 1: the falsehood that the coronavirus in the US had been 140 00:08:02,880 --> 00:08:06,600 Speaker 1: contained now. Politico has reported that many of Trump's aide 141 00:08:06,640 --> 00:08:08,560 Speaker 1: shared his belief that the threat of the virus was 142 00:08:08,600 --> 00:08:10,800 Speaker 1: a media invention and tried to keep the President from 143 00:08:10,800 --> 00:08:13,600 Speaker 1: addressing or even hearing about the issue since they considered 144 00:08:13,640 --> 00:08:17,000 Speaker 1: it unimportant. One person involved in the administration's response to 145 00:08:17,000 --> 00:08:20,280 Speaker 1: the coronavirus told Politico, it always ladders to the top. 146 00:08:20,360 --> 00:08:23,000 Speaker 1: Trump's created an atmosphere where the judgment of his staff 147 00:08:23,040 --> 00:08:26,400 Speaker 1: is that he shouldn't need to know these things. As 148 00:08:26,400 --> 00:08:29,320 Speaker 1: the virus spread around the world and it became clear 149 00:08:29,400 --> 00:08:31,800 Speaker 1: that there were many more US cases than initially hoped, 150 00:08:31,880 --> 00:08:34,439 Speaker 1: saner members of the Trump administration started to push for 151 00:08:34,520 --> 00:08:37,920 Speaker 1: him to address the problem more directly and soberly. But 152 00:08:38,280 --> 00:08:41,840 Speaker 1: as NBC reports, quote, Trump is simply not on the 153 00:08:41,880 --> 00:08:44,440 Speaker 1: same wavelength as the rest of his team. But they said, 154 00:08:44,480 --> 00:08:46,640 Speaker 1: there isn't much they can do to change his public tone. 155 00:08:46,640 --> 00:08:48,480 Speaker 1: Trump has been advised by some close to him to 156 00:08:48,520 --> 00:08:50,960 Speaker 1: let public health officials, rather than the politicians, take a 157 00:08:50,960 --> 00:08:53,760 Speaker 1: more forward facing role, according to a person familiar with 158 00:08:53,760 --> 00:08:56,040 Speaker 1: the conversation, but a person close to the White House 159 00:08:56,040 --> 00:08:58,480 Speaker 1: said Trump thinks it helps him politically to keep doing 160 00:08:58,480 --> 00:09:03,280 Speaker 1: what he has been doing. Okay, Diligent public health experts 161 00:09:03,280 --> 00:09:05,440 Speaker 1: and doctors began to warn the country and the government 162 00:09:05,480 --> 00:09:07,880 Speaker 1: that testing kits were not available in high enough numbers 163 00:09:07,880 --> 00:09:09,840 Speaker 1: to test even the most high risk cases of people 164 00:09:09,880 --> 00:09:13,640 Speaker 1: who symptoms matched COVID nineteen. The day this story dropped, 165 00:09:13,679 --> 00:09:16,760 Speaker 1: Donald Trump met with Fox News performers Diamond and Silk 166 00:09:16,800 --> 00:09:20,280 Speaker 1: at the White House. Diamond chanted vote read r E 167 00:09:20,400 --> 00:09:24,200 Speaker 1: D remove every Democrat well, Trump smiled and nodded along. 168 00:09:25,920 --> 00:09:29,800 Speaker 1: Why are you trying to make me political? Unbelievable? Is 169 00:09:29,840 --> 00:09:32,040 Speaker 1: that that's when they all joined hands, right and like 170 00:09:32,080 --> 00:09:37,480 Speaker 1: put their hands on it. Virus is your virus? Mr President? 171 00:09:39,080 --> 00:09:41,080 Speaker 1: I'm gonna say it, I hope. So it would be 172 00:09:41,120 --> 00:09:45,439 Speaker 1: fitting if he exposed huge numbers of Americans to a 173 00:09:45,520 --> 00:09:47,360 Speaker 1: virus that he then caught himself. It would be are 174 00:09:47,360 --> 00:09:50,960 Speaker 1: you covering how he's exposed? Yes, a little bit, Pretend 175 00:09:51,000 --> 00:09:53,120 Speaker 1: like I didn't just say that, just a little. The 176 00:09:53,120 --> 00:09:57,600 Speaker 1: whole situation is very very I won't say funny because 177 00:09:57,679 --> 00:10:00,520 Speaker 1: it's it's not. It's a terrible situation, but in terms 178 00:10:00,559 --> 00:10:04,720 Speaker 1: of irony and like the perfect example of why he 179 00:10:04,880 --> 00:10:07,720 Speaker 1: is bad and everyone around him is bad. I actually don't. 180 00:10:07,760 --> 00:10:09,000 Speaker 1: I know a lot of people disagree with this, and 181 00:10:09,000 --> 00:10:10,480 Speaker 1: there's a lot of talk about like you should never 182 00:10:10,600 --> 00:10:14,000 Speaker 1: hope for somebody to get sick. If your entire political 183 00:10:14,000 --> 00:10:17,160 Speaker 1: career has involved, for one thing, urging the defunding of 184 00:10:17,200 --> 00:10:19,640 Speaker 1: the public health state in order to make something like 185 00:10:19,679 --> 00:10:22,559 Speaker 1: this more likely, if you have pushed for a system 186 00:10:22,640 --> 00:10:27,480 Speaker 1: wherein science is exiled outside of the decision making process um, 187 00:10:27,600 --> 00:10:30,880 Speaker 1: and you have created the perfect storm of of It's 188 00:10:30,880 --> 00:10:33,160 Speaker 1: like me swinging a machette around in a room with 189 00:10:33,200 --> 00:10:37,200 Speaker 1: a poison room covered in glass. It's incredibly read and 190 00:10:37,240 --> 00:10:39,880 Speaker 1: if I were to breach the poison room and hurt myself, 191 00:10:40,160 --> 00:10:42,679 Speaker 1: I would deserve it. And I think these people who 192 00:10:42,760 --> 00:10:46,760 Speaker 1: got exposed at seepack to the coronavirus um because in 193 00:10:46,880 --> 00:10:49,680 Speaker 1: part they made fun of the risk of getting sick 194 00:10:49,679 --> 00:10:54,559 Speaker 1: in issually like Matt gets wearing yeah when it came here, 195 00:10:54,640 --> 00:10:56,280 Speaker 1: and set us up to fail, and felt that it 196 00:10:56,360 --> 00:10:58,679 Speaker 1: wasn't important to fund any of these things. I do 197 00:10:58,800 --> 00:11:01,719 Speaker 1: think it's fine that they get sick. I hope they do. 198 00:11:01,960 --> 00:11:05,199 Speaker 1: Fuck them. I don't hope that random old people get sick, 199 00:11:06,400 --> 00:11:09,600 Speaker 1: but I hope specific people who ghoulishly fucked with the 200 00:11:09,640 --> 00:11:13,800 Speaker 1: healthcare state and this cruise like ted cruise. Yes, I 201 00:11:13,880 --> 00:11:17,079 Speaker 1: hope they get sick. Yeah, fuck them all right for 202 00:11:17,280 --> 00:11:20,040 Speaker 1: this story. White House health experts begged the president to 203 00:11:20,040 --> 00:11:22,439 Speaker 1: put out an advertise an advisement for elderly people and 204 00:11:22,480 --> 00:11:25,800 Speaker 1: immuno compromise people to avoid commercial flights. Trump, a man 205 00:11:25,840 --> 00:11:28,880 Speaker 1: whose business interests center around golf courses and resorts frequented 206 00:11:28,880 --> 00:11:32,240 Speaker 1: by older individuals, overruled them and refused. He stated that 207 00:11:32,240 --> 00:11:34,480 Speaker 1: he did not want to have a negative impact on 208 00:11:34,520 --> 00:11:38,679 Speaker 1: the economy. The same experts responded that he should, at 209 00:11:38,679 --> 00:11:41,680 Speaker 1: the very least pretty fucking please advised vulnerable people to 210 00:11:41,720 --> 00:11:44,719 Speaker 1: avoid booking trips on cruise ships. He pushed back on 211 00:11:44,760 --> 00:11:48,360 Speaker 1: this and denilated for days, and only eventually reluctantly after 212 00:11:48,400 --> 00:11:51,920 Speaker 1: several cruise ships were revealed to have rampant coronavirus outbreaks, 213 00:11:52,160 --> 00:11:55,680 Speaker 1: agreed to advise immuno compromise people not to book cruises. 214 00:11:56,640 --> 00:11:59,960 Speaker 1: In late February, Trump tweeted, the coronavirus is very much 215 00:12:00,040 --> 00:12:02,400 Speaker 1: under control in the United States. Stock market is starting 216 00:12:02,400 --> 00:12:08,240 Speaker 1: to look very good to me to a separate tweet 217 00:12:09,360 --> 00:12:21,960 Speaker 1: like separate those two ideas. Many right, it's worth. He 218 00:12:22,040 --> 00:12:24,439 Speaker 1: accused his critics of pushing a hoax around fears that 219 00:12:24,480 --> 00:12:27,080 Speaker 1: the coronavirus would spread widely in the United States. He 220 00:12:27,080 --> 00:12:29,560 Speaker 1: claimed the number of cases at the time fifteen would 221 00:12:29,600 --> 00:12:32,960 Speaker 1: be close to zero soon as it right now, Right 222 00:12:33,080 --> 00:12:36,640 Speaker 1: after right after, people were saying the opposite. Yeah, that's 223 00:12:36,640 --> 00:12:38,720 Speaker 1: two weeks ago or so. As of right now, there 224 00:12:38,760 --> 00:12:41,440 Speaker 1: are well over five hundred confirmed cases in the United States. 225 00:12:41,600 --> 00:12:44,360 Speaker 1: Virtually all experts now agree that the coronavirus is likely 226 00:12:44,400 --> 00:12:47,520 Speaker 1: to be the worst such outbreak since the influenza epidemic 227 00:12:47,559 --> 00:12:51,199 Speaker 1: of ninety seven, which killed an estimated one million people worldwide, 228 00:12:51,200 --> 00:12:53,560 Speaker 1: maybe as many as one point five million. It is 229 00:12:53,679 --> 00:12:57,040 Speaker 1: not impossible or unlikely that several million Americans might eventually 230 00:12:57,040 --> 00:12:59,760 Speaker 1: contract the disease. Now, fortunately it's not very lethal, especially 231 00:12:59,800 --> 00:13:02,080 Speaker 1: for the aast majority of the population um, but it's 232 00:13:02,200 --> 00:13:04,640 Speaker 1: entirely possible that thousands, perhaps even at the very worst, 233 00:13:04,679 --> 00:13:06,599 Speaker 1: tens of thousands of Americans could die from this. The 234 00:13:06,640 --> 00:13:10,240 Speaker 1: nineteen fifty seven influence epidemic killed seventy Americans, and there 235 00:13:10,240 --> 00:13:12,600 Speaker 1: were other factors than the influenza, like they didn't have, 236 00:13:12,679 --> 00:13:15,560 Speaker 1: like respiratory respirators and stuff like that they could give 237 00:13:15,600 --> 00:13:17,959 Speaker 1: people at that point, or at least not many. UM, 238 00:13:18,000 --> 00:13:21,440 Speaker 1: So seventy thousand would be like a nightmare scenario. But 239 00:13:21,440 --> 00:13:25,319 Speaker 1: it's within the Roman possibility. But we have we've advanced 240 00:13:25,320 --> 00:13:28,079 Speaker 1: since to keep people alive. This is not like a zombie. 241 00:13:28,120 --> 00:13:30,199 Speaker 1: It's not like. This is not the collapse of civilization, 242 00:13:30,240 --> 00:13:32,079 Speaker 1: but it could collapse the economy and it could kill 243 00:13:32,080 --> 00:13:34,480 Speaker 1: tens of thousands of people and get to that. Yeah. 244 00:13:34,880 --> 00:13:36,880 Speaker 1: Public health officials are now warning that we face a 245 00:13:36,920 --> 00:13:40,080 Speaker 1: disease burden roughly ten times worse than a normal severe 246 00:13:40,280 --> 00:13:43,000 Speaker 1: flu season UM, and some suggest it could be more 247 00:13:43,040 --> 00:13:45,760 Speaker 1: like twenty times worse. So this is like a nightmarishly 248 00:13:45,840 --> 00:13:48,360 Speaker 1: worst flu season. And as the outbreak has grown, Trump 249 00:13:48,400 --> 00:13:50,840 Speaker 1: has become obsessed with keeping the total daily count of 250 00:13:50,840 --> 00:13:54,360 Speaker 1: confirmed coronavirus cases low. Public health officials have attempted to 251 00:13:54,400 --> 00:13:57,439 Speaker 1: fulfill his wishes by focusing on their most optimistic estimates 252 00:13:57,440 --> 00:14:00,000 Speaker 1: and briefings. The CDC has stopped listing the number of 253 00:14:00,000 --> 00:14:03,640 Speaker 1: people it has tested like entirely um and their online 254 00:14:03,760 --> 00:14:07,880 Speaker 1: dashboard can like keeping track of confirmed infections, records significantly 255 00:14:07,880 --> 00:14:10,679 Speaker 1: fewer cases than the independent tracker run by John's Hopkins 256 00:14:10,720 --> 00:14:13,560 Speaker 1: Hospital and the e use estimate of confirmed American cases. 257 00:14:13,840 --> 00:14:20,800 Speaker 1: So that's cool, CDCs your best. Yeah. On February, CDC 258 00:14:20,960 --> 00:14:24,520 Speaker 1: official Nancy Massagnier warned that a coronavirus outbreak in the 259 00:14:24,600 --> 00:14:28,000 Speaker 1: US was inevitable. Her remarks spooked investors and caused a 260 00:14:28,040 --> 00:14:30,920 Speaker 1: plunge in the stock market. This infuriated President Trump in 261 00:14:31,000 --> 00:14:34,000 Speaker 1: members of his administration discussed forcing Massagnier to keep to 262 00:14:34,040 --> 00:14:36,920 Speaker 1: shut up for the length of the coronavirus outbreak. Alex 263 00:14:36,960 --> 00:14:39,720 Speaker 1: Asar intervened and she was allowed to keep making public statements, 264 00:14:39,720 --> 00:14:42,840 Speaker 1: although her tone changed to be moderately more upbeat. One 265 00:14:42,880 --> 00:14:44,960 Speaker 1: of the more frustrating things about like alex has as 266 00:14:45,000 --> 00:14:47,360 Speaker 1: a ghoul and has like a huge amount of blame 267 00:14:47,440 --> 00:14:49,240 Speaker 1: for the fact that, like while he was in charge 268 00:14:49,240 --> 00:14:52,040 Speaker 1: of um Eli Lily, the price of insulin like went 269 00:14:52,080 --> 00:14:55,720 Speaker 1: up by he's a monster. Um He's absolutely in the 270 00:14:55,800 --> 00:14:57,800 Speaker 1: right and this one and it's just trying to take like, Okay, 271 00:14:57,880 --> 00:15:00,640 Speaker 1: we should take basic steps to contain this, and it's 272 00:15:00,640 --> 00:15:02,880 Speaker 1: like has to fight for that. It's I hate it. 273 00:15:03,000 --> 00:15:06,320 Speaker 1: Basic steps are bad. Yeah, I hate that. Like I 274 00:15:06,440 --> 00:15:08,960 Speaker 1: keep saying, alex Azar is the voice of reason just 275 00:15:08,960 --> 00:15:11,360 Speaker 1: because he's not a He's a ghoul, but he's not 276 00:15:11,400 --> 00:15:14,760 Speaker 1: an idiot. UM. One of the cases Trump has grown 277 00:15:14,760 --> 00:15:17,760 Speaker 1: most obsessed with is the cruise shipped Diamond Princess, which 278 00:15:17,760 --> 00:15:20,280 Speaker 1: has a had a sizeable chunk of infected people on board. 279 00:15:20,560 --> 00:15:22,760 Speaker 1: Health officials and Mike Pence, who Trump put in charge 280 00:15:22,760 --> 00:15:26,040 Speaker 1: of the coronavirus response, decided that removing all passengers was 281 00:15:26,120 --> 00:15:28,200 Speaker 1: the best decision since it would reduce the number of 282 00:15:28,200 --> 00:15:30,720 Speaker 1: people who wound up infected in the stinking, disease filled 283 00:15:30,720 --> 00:15:33,560 Speaker 1: morass that is a normal cruise ship. UM, don't go 284 00:15:33,600 --> 00:15:35,600 Speaker 1: on cruise as ever. I'm going to quote now from 285 00:15:35,600 --> 00:15:38,560 Speaker 1: New York Magazine quote. But President Donald Trump had a 286 00:15:38,560 --> 00:15:41,600 Speaker 1: different idea leave the infected passengers on board, which would 287 00:15:41,640 --> 00:15:44,720 Speaker 1: keep the number of US coronavirus cases as low as possible. 288 00:15:45,280 --> 00:15:47,200 Speaker 1: Do I want to bring all those people off? People 289 00:15:47,240 --> 00:15:49,000 Speaker 1: would like me to do it, Trump admitted on a 290 00:15:49,040 --> 00:15:51,800 Speaker 1: press conference at the CDC. I would rather have them 291 00:15:51,800 --> 00:15:54,080 Speaker 1: stay on. Personally, I don't need to have the numbers 292 00:15:54,120 --> 00:15:57,200 Speaker 1: double because of one ship that wasn't our fault. Trump added, 293 00:15:57,200 --> 00:15:59,520 Speaker 1: saying that he ultimately empowered pens to decide whether to 294 00:15:59,560 --> 00:16:02,080 Speaker 1: evacuate the passengers so that he could blame Pensive it 295 00:16:02,160 --> 00:16:05,840 Speaker 1: was yeah, um uh. To his credit, he also said 296 00:16:05,840 --> 00:16:09,000 Speaker 1: it's not the passenger's fault Yep. That's so good for 297 00:16:09,080 --> 00:16:15,280 Speaker 1: him for stumbling through that. I appreciated that. Um. They 298 00:16:15,320 --> 00:16:18,920 Speaker 1: literally said, I like when the numbers are down. It's 299 00:16:18,960 --> 00:16:21,920 Speaker 1: good to hear your your presidents say that about health 300 00:16:21,960 --> 00:16:27,360 Speaker 1: crises like this. Yeah, yes, very frustrating. Frustrating. Also that again, 301 00:16:27,840 --> 00:16:30,400 Speaker 1: like with Azar, Mike Pence is like trying to be 302 00:16:30,520 --> 00:16:33,360 Speaker 1: a rational person throughout all this, and like is not 303 00:16:33,520 --> 00:16:35,720 Speaker 1: wrong about every call he's made, and so I have 304 00:16:35,800 --> 00:16:38,240 Speaker 1: to be like, and so Mike Pence tried desperately to 305 00:16:38,240 --> 00:16:40,920 Speaker 1: tell the president not to do this dumb thing and 306 00:16:41,120 --> 00:16:44,400 Speaker 1: funck Mike Pence. But he's not wrong in this situation, 307 00:16:44,440 --> 00:16:47,600 Speaker 1: although he is wrong because he helped enable the situation 308 00:16:47,600 --> 00:16:51,120 Speaker 1: where he's trying to talk an incompetent madman out of 309 00:16:51,360 --> 00:16:54,640 Speaker 1: ignoring a horrific problem and letting it spread into a play. Also, 310 00:16:54,680 --> 00:16:57,080 Speaker 1: Mike Pens shouldn't be in charge on any sort of Yeah, 311 00:16:57,200 --> 00:17:01,360 Speaker 1: Pens and epidemics aren't the most comic. Yeah, I love, 312 00:17:01,920 --> 00:17:06,720 Speaker 1: I love, It's just everything is terrible. There's a quote 313 00:17:06,760 --> 00:17:09,560 Speaker 1: about why it was Pence like why they picked Pence, 314 00:17:09,600 --> 00:17:12,760 Speaker 1: and literally Trump just said because he had nothing else 315 00:17:12,800 --> 00:17:20,880 Speaker 1: to do. Yeah, that's not fun, but it's actually, it's 316 00:17:20,920 --> 00:17:24,360 Speaker 1: incredibly fun, very fun. It's very funny. New York Magazine 317 00:17:24,359 --> 00:17:27,000 Speaker 1: interviewed thirteen current and former Trump officials and a number 318 00:17:27,000 --> 00:17:29,359 Speaker 1: of individuals close to the White House. The interview painted 319 00:17:29,400 --> 00:17:31,640 Speaker 1: much the same picture as all the other coverage we've seen. 320 00:17:31,920 --> 00:17:34,439 Speaker 1: Quote Aids heaped praise on Trump for his efforts to 321 00:17:34,480 --> 00:17:37,160 Speaker 1: lockdown travel from China, appealing to the president's comfort zone 322 00:17:37,160 --> 00:17:39,760 Speaker 1: of border security, but failed to convey the importance of 323 00:17:39,800 --> 00:17:42,959 Speaker 1: doing simultaneous community testing, which could have uncovered a potential 324 00:17:43,000 --> 00:17:46,320 Speaker 1: US outbreak. Government officials and independent scientists now fear that 325 00:17:46,359 --> 00:17:48,920 Speaker 1: the coronavirus has been silently spreading in the United States 326 00:17:48,920 --> 00:17:51,320 Speaker 1: for weeks, as unexplained cases have popped up in more 327 00:17:51,320 --> 00:17:54,280 Speaker 1: than twenty five states. While Trump last week allowed hospitals 328 00:17:54,320 --> 00:17:57,320 Speaker 1: and labs to start developing their own coronavirus tests, wrongly 329 00:17:57,359 --> 00:18:01,080 Speaker 1: blaming Trump the Obama administration's regulations and delay, the same 330 00:18:01,080 --> 00:18:02,960 Speaker 1: move could have been made weeks ago had the President 331 00:18:03,000 --> 00:18:05,680 Speaker 1: and his advisers felt it was necessary, said two officials. 332 00:18:06,560 --> 00:18:08,399 Speaker 1: Weeks ago, when we realized it was going to be 333 00:18:08,440 --> 00:18:10,840 Speaker 1: a problem. Cool. Who could have known? Who could have known? 334 00:18:10,880 --> 00:18:15,439 Speaker 1: Except for everybody literally says that later. I can't wait 335 00:18:15,480 --> 00:18:20,879 Speaker 1: to get to that part here it is, I didn't you. 336 00:18:22,040 --> 00:18:26,280 Speaker 1: Instant gratification is what this podcast is all about. Last Friday, 337 00:18:26,359 --> 00:18:29,439 Speaker 1: Donald Trump finally toured a CDC facility. It was empty, 338 00:18:29,560 --> 00:18:31,720 Speaker 1: lightly likely in deference to the fact that he delayed 339 00:18:31,880 --> 00:18:34,040 Speaker 1: this visit out of fear of touching an infected person. 340 00:18:34,480 --> 00:18:37,879 Speaker 1: This visit came hours after several baffling Trump statements, first 341 00:18:38,040 --> 00:18:40,399 Speaker 1: that it was good for the economy for Americans to 342 00:18:40,400 --> 00:18:43,480 Speaker 1: stop traveling abroad, and second that there were plenty of 343 00:18:43,520 --> 00:18:51,960 Speaker 1: testing kits to meet demand. He so dumb, like so 344 00:18:52,200 --> 00:18:57,080 Speaker 1: fucking dumb. It sounds like he's also a liar, is it? 345 00:18:57,080 --> 00:18:59,359 Speaker 1: It's one of the other I know, we've been like 346 00:18:59,720 --> 00:19:01,840 Speaker 1: talking about what a dumb liar he is for four years, 347 00:19:02,400 --> 00:19:06,399 Speaker 1: but oh my god, perfect storm. I mean, just the 348 00:19:06,480 --> 00:19:09,120 Speaker 1: claim it's going to be good for our economy because 349 00:19:09,160 --> 00:19:12,520 Speaker 1: people aren't traveling. Do you know how the world works? 350 00:19:12,720 --> 00:19:16,160 Speaker 1: Do you know how economies? Do you have international businesses? 351 00:19:18,680 --> 00:19:22,199 Speaker 1: He knows better. He's just full of ship. Yeah that's why. 352 00:19:22,280 --> 00:19:26,240 Speaker 1: Yeah again, this is just like it's yeah, brings it 353 00:19:26,280 --> 00:19:28,560 Speaker 1: all together. And when he said that there were plenty 354 00:19:28,600 --> 00:19:30,520 Speaker 1: of testing kits to meet demand, that was the exact 355 00:19:30,600 --> 00:19:33,200 Speaker 1: opposite of a statement that Mike Pence made hours before 356 00:19:33,960 --> 00:19:36,159 Speaker 1: that does not currently have enough testing kits to meet 357 00:19:36,200 --> 00:19:38,960 Speaker 1: demand because they don't, because they don't because they didn't prepare, 358 00:19:39,160 --> 00:19:43,000 Speaker 1: still don't. He's a he's a kid who didn't bring 359 00:19:43,119 --> 00:19:46,840 Speaker 1: his homework in And for forty five minutes the class 360 00:19:46,840 --> 00:19:49,800 Speaker 1: has all been about his excuses for why. But it's 361 00:19:49,840 --> 00:19:54,960 Speaker 1: with a viral epidemic, And like forty five minutes after that, 362 00:19:55,480 --> 00:19:59,640 Speaker 1: they talk about what the topic was for his homework 363 00:19:59,760 --> 00:20:01,720 Speaker 1: and they say the exact opposite of what he ends 364 00:20:01,800 --> 00:20:06,520 Speaker 1: up saying. Yeah, alright, you know who won't lie to 365 00:20:06,560 --> 00:20:10,639 Speaker 1: the country while a virus threatens its elderly population and 366 00:20:10,680 --> 00:20:16,960 Speaker 1: crashes its economy. We might, we might, um, but Anderson 367 00:20:17,000 --> 00:20:20,320 Speaker 1: will not because dogs are incapable of lying. Well, she 368 00:20:20,359 --> 00:20:23,719 Speaker 1: would never lie to up I think are dogs might 369 00:20:23,760 --> 00:20:28,040 Speaker 1: be incapable. They're capable of like hiding our fans, but 370 00:20:28,080 --> 00:20:30,720 Speaker 1: she would never lie away playful deception, and neither with 371 00:20:30,880 --> 00:20:34,520 Speaker 1: the products that support this podcast, dog like these products 372 00:20:34,600 --> 00:20:46,280 Speaker 1: are loyal to you if you spend money together everything. 373 00:20:49,160 --> 00:20:54,000 Speaker 1: During his press country We're Backed. Also during his press 374 00:20:54,040 --> 00:20:56,639 Speaker 1: conference at CDC headquarters, Trump continue to insist that there 375 00:20:56,640 --> 00:20:58,640 Speaker 1: were plenty of testing kits to go around, and then 376 00:20:58,920 --> 00:21:02,880 Speaker 1: bafflingly and is that the tests were perfect. Quote, these 377 00:21:02,920 --> 00:21:06,200 Speaker 1: tests are all perfect. Like the letter was perfect. It 378 00:21:06,320 --> 00:21:10,000 Speaker 1: was perfect. This was not as perfect but as that, 379 00:21:10,080 --> 00:21:13,639 Speaker 1: but pretty good. He's talking about the Ukraine letter and 380 00:21:13,680 --> 00:21:16,560 Speaker 1: the transcript of his call with the President of Ukraine's 381 00:21:16,560 --> 00:21:18,639 Speaker 1: going to say, that's terrible, but I change it. That's yummy. 382 00:21:18,760 --> 00:21:21,479 Speaker 1: You know what I like about the word perfect? Uh, 383 00:21:22,280 --> 00:21:26,720 Speaker 1: it has varying degrees of perfection. This was perfect. This 384 00:21:26,800 --> 00:21:30,040 Speaker 1: wasn't as perfect, but it was pretty pretty perfect, pretty 385 00:21:30,240 --> 00:21:32,119 Speaker 1: in terms of in terms of how perfect it was. 386 00:21:32,640 --> 00:21:34,880 Speaker 1: It had a lot of flaws than this flawless thing, 387 00:21:34,920 --> 00:21:38,000 Speaker 1: but it was still flawless, exactly. I love it. He's 388 00:21:38,000 --> 00:21:40,920 Speaker 1: wearing a hat by the way, that of course Keith 389 00:21:40,960 --> 00:21:46,080 Speaker 1: America great hat always be selling. You know that. I 390 00:21:46,119 --> 00:21:49,320 Speaker 1: also love that. Like the President of the United States 391 00:21:49,440 --> 00:21:52,280 Speaker 1: is someone who would watch Glen Garry Glenn Ross if 392 00:21:52,320 --> 00:21:53,879 Speaker 1: he if you could get him to have the attention 393 00:21:53,920 --> 00:21:56,560 Speaker 1: span to watch something for two hours he could watch. 394 00:21:56,560 --> 00:21:58,800 Speaker 1: He would watch Glen Garry, Glenn Ross, and he would 395 00:21:59,080 --> 00:22:03,720 Speaker 1: walk away thinking that like Alec Baldwin's character was the hero. Um. 396 00:22:03,760 --> 00:22:06,719 Speaker 1: Absolutely yeah, but he wouldn't be able to get through 397 00:22:06,760 --> 00:22:09,440 Speaker 1: it because eventually be like, oh, why are we focused 398 00:22:09,440 --> 00:22:17,199 Speaker 1: on these losers? It's like he's out of here. And 399 00:22:17,280 --> 00:22:20,840 Speaker 1: David Mammitt definitely voted for Trump probably right, was like 400 00:22:20,840 --> 00:22:25,679 Speaker 1: a famous Republican. Yeah, anyway. Trump next at the CDC 401 00:22:25,840 --> 00:22:28,480 Speaker 1: press conference, made a brief statement about the Grand Princess 402 00:22:28,480 --> 00:22:31,439 Speaker 1: cruise ship doc near San Francisco, publicly stating publicly that 403 00:22:31,480 --> 00:22:33,880 Speaker 1: he didn't want to let people off the ship because, yeah, 404 00:22:33,920 --> 00:22:36,920 Speaker 1: he liked the numbers being where they were. Um. And 405 00:22:36,960 --> 00:22:40,000 Speaker 1: then he stated that he hadn't previously been aware that 406 00:22:40,040 --> 00:22:42,760 Speaker 1: people could die of the flu, which kills tens of 407 00:22:42,800 --> 00:22:46,359 Speaker 1: thousands of Americans per year and also killed his own grandfather. 408 00:22:48,359 --> 00:22:53,360 Speaker 1: And the thing about the numbers, keeping the numbers low, 409 00:22:53,520 --> 00:22:59,399 Speaker 1: keeping the numbers low, that is so misguided because what 410 00:22:59,520 --> 00:23:03,120 Speaker 1: that does is it artificially inflates the death rate. So 411 00:23:03,400 --> 00:23:06,560 Speaker 1: when you are seeking to mitigate the fall out of 412 00:23:06,560 --> 00:23:11,000 Speaker 1: this and keep people, uh, you know, from panicking and alive, alive, 413 00:23:11,119 --> 00:23:13,879 Speaker 1: this is the real thing. Keep people alive. Trying to 414 00:23:14,000 --> 00:23:19,720 Speaker 1: keep um the number down is works against that because again, 415 00:23:19,760 --> 00:23:22,920 Speaker 1: like I just said, it makes the death rate higher 416 00:23:23,840 --> 00:23:27,560 Speaker 1: because there's it means more people per sick is dying. 417 00:23:27,920 --> 00:23:30,720 Speaker 1: Look at who end up getting tested and are included 418 00:23:30,720 --> 00:23:32,280 Speaker 1: in like here, the people that have it are going 419 00:23:32,320 --> 00:23:34,359 Speaker 1: to be the people who are really really really sick 420 00:23:34,480 --> 00:23:36,880 Speaker 1: and go in the hospital and get tested, and they're 421 00:23:36,920 --> 00:23:38,879 Speaker 1: more likely to die. That death is going to you 422 00:23:39,000 --> 00:23:43,760 Speaker 1: had more testing available and people then you start to 423 00:23:43,760 --> 00:23:46,199 Speaker 1: see like oh, I've had it and recovered or you know, 424 00:23:46,240 --> 00:23:48,240 Speaker 1: like this is a mild version of it, so you 425 00:23:48,240 --> 00:23:50,879 Speaker 1: start to put it in perspective. Also, then you're not 426 00:23:50,960 --> 00:23:53,800 Speaker 1: silently carrying it around spreading it everywhere. I don't needed 427 00:23:53,840 --> 00:23:55,480 Speaker 1: to say that because every time we've talked about this 428 00:23:55,560 --> 00:23:57,920 Speaker 1: number being down and like her, yeah, I mean there 429 00:23:57,960 --> 00:24:02,280 Speaker 1: there's so many problems with artificially keeping the number down. 430 00:24:03,040 --> 00:24:05,320 Speaker 1: I only hear more. Robert next, Trump insisted that the 431 00:24:05,359 --> 00:24:08,399 Speaker 1: outbreak of the coronavirus was something you can never really 432 00:24:08,440 --> 00:24:10,800 Speaker 1: think is going to happen, exactly when people tell you 433 00:24:10,840 --> 00:24:12,919 Speaker 1: that it is and then you cut their department. Yeah, 434 00:24:12,960 --> 00:24:15,400 Speaker 1: the officials, the CDC acted with what I would say 435 00:24:15,440 --> 00:24:18,840 Speaker 1: is shameful, but it's also probably bitterly practical deference to 436 00:24:18,840 --> 00:24:20,760 Speaker 1: the guy who gets to decide if they get money 437 00:24:20,840 --> 00:24:23,680 Speaker 1: or not. Director Robert Redfield thanked the president for being 438 00:24:23,720 --> 00:24:27,040 Speaker 1: a decisive leader, and then Don Trump said this, and 439 00:24:27,080 --> 00:24:29,640 Speaker 1: this is where I gotta play the clip. And I 440 00:24:29,680 --> 00:24:32,919 Speaker 1: like this stuff. You know, my alcohol, it's a great 441 00:24:33,480 --> 00:24:35,280 Speaker 1: first us at M I T each ort a M 442 00:24:35,280 --> 00:24:37,640 Speaker 1: I T firm. I think, like a record number of years. 443 00:24:38,240 --> 00:24:42,040 Speaker 1: He was a great super genius. Dr John Trump. I 444 00:24:42,160 --> 00:24:44,159 Speaker 1: like this stuff. I really get it. You've been a 445 00:24:44,240 --> 00:24:47,240 Speaker 1: surprise that I understand every ordered these actors said, how 446 00:24:47,240 --> 00:24:49,639 Speaker 1: do you know so much about this? Maybe I have 447 00:24:49,680 --> 00:24:51,960 Speaker 1: a natural ability. Maybe I should have done that instead 448 00:24:51,960 --> 00:24:57,360 Speaker 1: of running through president. Oh my god, I'm just so tired. 449 00:24:57,560 --> 00:25:03,800 Speaker 1: I'm so tired. It's exhausting. Uh yeah, man, at seventy eight, 450 00:25:03,960 --> 00:25:06,760 Speaker 1: you should have instead of running for president, become a 451 00:25:06,880 --> 00:25:13,680 Speaker 1: scientist doctor. Yes, because you're good at it. He did 452 00:25:13,680 --> 00:25:16,760 Speaker 1: by becoming president. Yeah. Now in uh one of the 453 00:25:16,800 --> 00:25:20,680 Speaker 1: most pain Yeah, it's it's very frustrating. Um So, next 454 00:25:20,760 --> 00:25:24,879 Speaker 1: after this, Trump referenced the fact that Mike Pence had 455 00:25:24,880 --> 00:25:28,320 Speaker 1: recently called Washington Governor j Insley to express solidarity and 456 00:25:28,440 --> 00:25:30,960 Speaker 1: promised support to the state of Washington as it deals 457 00:25:31,000 --> 00:25:33,560 Speaker 1: with the deadliest coronavirus outbreak in the country. You know, 458 00:25:33,680 --> 00:25:36,960 Speaker 1: like a like a human being who's in a powerful 459 00:25:37,000 --> 00:25:41,240 Speaker 1: position nationally would do, regardless of political President Trump was 460 00:25:41,280 --> 00:25:44,480 Speaker 1: infuriated and insisted at the c d C that Pence 461 00:25:44,480 --> 00:25:47,920 Speaker 1: should have retaliated against Insley instead, stating, I told Mike 462 00:25:47,960 --> 00:25:50,240 Speaker 1: Pence not to be complimentary of the governor because that 463 00:25:50,280 --> 00:25:56,880 Speaker 1: governor is a snake. Oh We're doomed. On the day 464 00:25:56,920 --> 00:25:59,560 Speaker 1: I wrote this, Vanity Fair published another article about the 465 00:25:59,600 --> 00:26:02,000 Speaker 1: administer rations response based on interviews with a number of 466 00:26:02,000 --> 00:26:03,920 Speaker 1: people close to the president. One source told them that 467 00:26:03,920 --> 00:26:06,760 Speaker 1: Trump is looking to sue the media for its coronavirus coverage. 468 00:26:06,800 --> 00:26:09,439 Speaker 1: He wants justice to open investigations of the media for 469 00:26:09,520 --> 00:26:13,000 Speaker 1: market manipulation. Another source told Vanity Fair that Trump is 470 00:26:13,000 --> 00:26:15,040 Speaker 1: equally furious with his team for not having a ready 471 00:26:15,080 --> 00:26:17,479 Speaker 1: media response to protect him from this new cycle. How 472 00:26:17,520 --> 00:26:22,679 Speaker 1: do you sue the media, you know with the law? Oh, okay, 473 00:26:22,920 --> 00:26:26,120 Speaker 1: silly quote. He's very frustrated. He doesn't have a good 474 00:26:26,119 --> 00:26:28,760 Speaker 1: team around him. A former White House official said on Friday, 475 00:26:28,800 --> 00:26:30,960 Speaker 1: he forced out acting Chief of Staff McK mulvaney and 476 00:26:30,960 --> 00:26:33,480 Speaker 1: replaced him with former House Freedom Caucus chair Mark Meadows. 477 00:26:33,600 --> 00:26:36,359 Speaker 1: Trump thought the virus was getting beyond Mick. A person 478 00:26:36,400 --> 00:26:40,399 Speaker 1: briefed on the internal discussion said Trump also complained that 479 00:26:40,440 --> 00:26:43,040 Speaker 1: economic advisor Larry Cutlow is not doing enough to calm 480 00:26:43,119 --> 00:26:46,159 Speaker 1: jittery markets. Trump found a willing surrogate and Kelly and Conway, 481 00:26:46,200 --> 00:26:48,720 Speaker 1: but Conway's dubious claim on Friday the virus is being 482 00:26:48,760 --> 00:26:53,400 Speaker 1: contained only made the pr situation worse, and Conway making 483 00:26:53,400 --> 00:26:58,440 Speaker 1: a decision worse shocking. Sorry before because we all believe 484 00:26:58,760 --> 00:27:01,320 Speaker 1: what Kelly and can when gets trotted out to say, 485 00:27:02,200 --> 00:27:06,080 Speaker 1: I'm surprised it's not working, that she's not calming the masses. 486 00:27:06,760 --> 00:27:08,840 Speaker 1: And while there's vanishingly little good news in terms of 487 00:27:08,840 --> 00:27:11,720 Speaker 1: the president'srceal response to this this outbreak, there's at least 488 00:27:11,720 --> 00:27:15,560 Speaker 1: ample schadenfreuda because Trump himself is terrified of COVID nineteen 489 00:27:15,600 --> 00:27:17,920 Speaker 1: and increasingly paranoid that will reach him in his tower 490 00:27:17,960 --> 00:27:21,800 Speaker 1: of privilege. Quote sociage says. Sources said he's privately terrified 491 00:27:21,800 --> 00:27:24,199 Speaker 1: about getting the virus. Donald does a famous germophobe. He 492 00:27:24,200 --> 00:27:25,920 Speaker 1: hates it. If someone is eating nachos and dips a 493 00:27:25,960 --> 00:27:28,760 Speaker 1: chip Beckett after taking a bite, he calls them double dippers. 494 00:27:29,040 --> 00:27:32,119 Speaker 1: A prominent Republicans said from a Trump aids Sam Nunberg 495 00:27:32,160 --> 00:27:34,400 Speaker 1: recalled Trump's response to the last major outbreak in two 496 00:27:34,400 --> 00:27:36,320 Speaker 1: that's in fourteen. When I worked for Trump, he was 497 00:27:36,359 --> 00:27:39,479 Speaker 1: obsessed with a bola. Nunberg told me. Stories about Trump's 498 00:27:39,480 --> 00:27:41,720 Speaker 1: coronavirus fears have spread through the White House. Last week, 499 00:27:41,760 --> 00:27:44,240 Speaker 1: Trump told aids he's afraid journalist will try to purposefully 500 00:27:44,240 --> 00:27:46,640 Speaker 1: contract contract coronavirus to give it to him on Air 501 00:27:46,640 --> 00:27:49,840 Speaker 1: Force one, a person close to the administration told me. 502 00:27:50,280 --> 00:27:52,840 Speaker 1: The source also said Trump has asked the Secret Service 503 00:27:52,880 --> 00:27:54,760 Speaker 1: to set up a screening program and bar anyone who 504 00:27:54,800 --> 00:27:57,000 Speaker 1: has a cough from the White House grounds. He's definitely 505 00:27:57,000 --> 00:27:59,920 Speaker 1: melting down over this. The source said. That's a silverlying 506 00:28:00,640 --> 00:28:05,879 Speaker 1: hot hot take double dippers not into it. Um, Yeah, 507 00:28:05,880 --> 00:28:08,440 Speaker 1: that's why he posted that video of Mike Bloomberg looking 508 00:28:08,440 --> 00:28:10,680 Speaker 1: at his fingers and going back for more. I never 509 00:28:10,720 --> 00:28:13,320 Speaker 1: wanted to talk about that again. We should we shouldn't 510 00:28:13,320 --> 00:28:16,239 Speaker 1: have brought up double dipping. And there's talk right now 511 00:28:16,280 --> 00:28:19,400 Speaker 1: about the administration putting out some form of federal aid 512 00:28:19,400 --> 00:28:21,959 Speaker 1: for the hospitality, traveling cruise industries, which, depending on how 513 00:28:21,960 --> 00:28:24,359 Speaker 1: it's done, might be a reasonable idea. Um, and it 514 00:28:24,520 --> 00:28:28,359 Speaker 1: just now. Jeffrey Stein with The Washington Post tweeted Washington 515 00:28:28,440 --> 00:28:31,000 Speaker 1: White House likely to push federal aid for shale companies 516 00:28:31,080 --> 00:28:34,480 Speaker 1: hit by coronavirus slash international energy stock, Trump confident and 517 00:28:34,520 --> 00:28:37,600 Speaker 1: oil billionaire Harold Ham lost two billion dollars yesterday. Ham 518 00:28:37,640 --> 00:28:40,400 Speaker 1: reached out to admit, but says he didn't make direct contact. 519 00:28:40,480 --> 00:28:45,280 Speaker 1: So that's cool. Waiting for that direction by which you 520 00:28:45,280 --> 00:28:48,520 Speaker 1: would think he's done a good job here, you would, Yeah, absolutely. 521 00:28:49,760 --> 00:28:52,480 Speaker 1: I mean it's the one thing he's actually terrified of, 522 00:28:53,320 --> 00:28:57,920 Speaker 1: but he's still just failing. Uh, would you mind talking 523 00:28:57,960 --> 00:29:04,000 Speaker 1: to us a little bit? Uh about the Ebola? At 524 00:29:04,080 --> 00:29:09,320 Speaker 1: least we can compare Trump's response to coronavirus with Obama's 525 00:29:09,360 --> 00:29:16,760 Speaker 1: response to the ebola break up the book, Will you 526 00:29:16,800 --> 00:29:19,280 Speaker 1: remember when that crashed the US economy and got wildly 527 00:29:19,320 --> 00:29:22,320 Speaker 1: out of control because of Barack Obama's incompety had almost forgotten, 528 00:29:22,320 --> 00:29:24,440 Speaker 1: But then I remember it was just as bad as 529 00:29:24,480 --> 00:29:27,760 Speaker 1: this is a disaster that we're all still reeling from yes. Um. Yeah. 530 00:29:27,760 --> 00:29:33,160 Speaker 1: The Bullo outbreak in West Africa from about sixteen it 531 00:29:33,200 --> 00:29:35,800 Speaker 1: was the worst a bullet outbreak in history. It resulted 532 00:29:35,840 --> 00:29:39,040 Speaker 1: in over eleven thou deaths. The spread of the disease 533 00:29:39,160 --> 00:29:43,239 Speaker 1: mainly in Guinea, Liberia and Sierra Leone. Uh. There were 534 00:29:43,360 --> 00:29:45,880 Speaker 1: very few cases in the United States. Um. They were 535 00:29:45,880 --> 00:29:50,400 Speaker 1: in um. Which does bring us to but croc no 536 00:29:50,520 --> 00:29:54,680 Speaker 1: brain Obama. Umballa took the advice of did you just 537 00:29:54,720 --> 00:29:57,520 Speaker 1: call him but crack Obama? It was going for like 538 00:29:57,520 --> 00:30:04,520 Speaker 1: a crocl okay but crack no brain Obama. Um. He 539 00:30:04,560 --> 00:30:09,160 Speaker 1: took his advice from the c d C then headed 540 00:30:09,160 --> 00:30:12,920 Speaker 1: by Thomas Friedman Rookie Mistake, Brookie Mistake, who was let 541 00:30:12,920 --> 00:30:19,160 Speaker 1: go in um because of what happened to the previous year. Yeah. Um, 542 00:30:19,280 --> 00:30:22,640 Speaker 1: so the and the CDC's recommendations were actually Uh, they 543 00:30:22,640 --> 00:30:25,080 Speaker 1: were based on science. That's important. They were mild, they 544 00:30:25,080 --> 00:30:27,840 Speaker 1: were calm. Uh. There was his urge to not panic 545 00:30:27,880 --> 00:30:31,160 Speaker 1: about this because it was concentrated in West Africa. We 546 00:30:31,160 --> 00:30:33,600 Speaker 1: were sending doctors and nurses over there to treat the people. 547 00:30:33,880 --> 00:30:37,120 Speaker 1: Um and Uh. There was a big controversy about whether 548 00:30:37,200 --> 00:30:40,240 Speaker 1: or not to UH institute a travel ban to the area. 549 00:30:41,080 --> 00:30:45,320 Speaker 1: Health experts recommended not to do that because it actually 550 00:30:45,360 --> 00:30:47,920 Speaker 1: wouldn't contain it very well and it would make the 551 00:30:47,960 --> 00:30:50,640 Speaker 1: people who were actually suffering from it in West Africa, 552 00:30:51,640 --> 00:30:55,200 Speaker 1: they would make them worse off. UM. So he didn't 553 00:30:55,360 --> 00:30:58,920 Speaker 1: do the thing that the CDC and the health experts 554 00:30:58,960 --> 00:31:04,240 Speaker 1: recommended that he not do. UM And there were about 555 00:31:04,840 --> 00:31:08,360 Speaker 1: totally backfired, totally backfire. There eleven cases in the United 556 00:31:08,400 --> 00:31:13,800 Speaker 1: States total. Um. Uh. Two nurses got in Texas. UM. 557 00:31:14,080 --> 00:31:17,400 Speaker 1: These were all contained cases. UM. It was handled again 558 00:31:17,560 --> 00:31:23,560 Speaker 1: very calmly. It's it's interesting because while that was bad, uh, 559 00:31:23,720 --> 00:31:27,360 Speaker 1: it was not the situation we're dealing with right now. UM. 560 00:31:27,440 --> 00:31:31,480 Speaker 1: So even comparing them how to contain it, what's the response, 561 00:31:32,160 --> 00:31:36,440 Speaker 1: The response that you would want from the administration during 562 00:31:36,440 --> 00:31:38,680 Speaker 1: the abola outbreak isn't the same response for this because 563 00:31:38,680 --> 00:31:42,040 Speaker 1: they are two different. My wrong? Did have there been 564 00:31:42,120 --> 00:31:47,720 Speaker 1: claims floated that programs were scaled back under Obama? Because yes, 565 00:31:47,840 --> 00:31:52,400 Speaker 1: I mean yeah, many lies about all the things. UM 566 00:31:52,480 --> 00:31:54,680 Speaker 1: And as we as you alluded to, a lot of 567 00:31:54,720 --> 00:31:57,360 Speaker 1: a lot of programs cut, a lot of teams just 568 00:31:57,760 --> 00:32:01,960 Speaker 1: disbanded that could deal with this. UM. So it's interesting 569 00:32:02,080 --> 00:32:08,960 Speaker 1: that this was a lesser case of what's going on now, UM, 570 00:32:09,000 --> 00:32:13,040 Speaker 1: and Obama handed handled it very well. UM, and urge 571 00:32:13,040 --> 00:32:18,640 Speaker 1: people not to panic because they shouldn't have panicked. UM. 572 00:32:18,680 --> 00:32:24,560 Speaker 1: And the response from let's say, the right wing punditry 573 00:32:24,640 --> 00:32:28,320 Speaker 1: and Republicans in general, it's very, very entertaining. We'll get 574 00:32:28,320 --> 00:32:31,960 Speaker 1: to Donald Trump specifically, but I'm just gonna read a 575 00:32:32,000 --> 00:32:39,520 Speaker 1: few quotes from people who UM today might be saying 576 00:32:39,560 --> 00:32:45,800 Speaker 1: something else. UM. For example, the deputy chief of staff 577 00:32:45,880 --> 00:32:49,680 Speaker 1: to Ted Cruz tweeted before Obama there had never been 578 00:32:49,720 --> 00:32:54,440 Speaker 1: a confirmed case of ebola in the US. UH, and 579 00:32:54,480 --> 00:32:59,000 Speaker 1: Ted Cruise lamented that Obama lacked sufficient seriousness about protecting 580 00:32:59,040 --> 00:33:03,440 Speaker 1: the American people intesting. Ted Cruz currently self quarantined. Why 581 00:33:03,520 --> 00:33:06,080 Speaker 1: is he self quarantined because he because he might have 582 00:33:06,320 --> 00:33:09,560 Speaker 1: there's no precautions. It was not taken care of me 583 00:33:09,640 --> 00:33:13,240 Speaker 1: And everybody shook a bunch of hands at Seepack. Mike Huckabee, 584 00:33:13,440 --> 00:33:17,680 Speaker 1: who you might know, Muccabee, Mr Muccabee a real yuck 585 00:33:17,760 --> 00:33:23,040 Speaker 1: up abe on his show. Quote the Ebola scare goes 586 00:33:23,080 --> 00:33:25,320 Speaker 1: to the heart of a simple question. Do you trust 587 00:33:25,400 --> 00:33:28,320 Speaker 1: the government if they repeatedly lie to me? I just 588 00:33:28,360 --> 00:33:31,400 Speaker 1: don't believe them anymore. Kind of did make me trust 589 00:33:31,440 --> 00:33:32,920 Speaker 1: the government a little bit a little bit more because 590 00:33:32,920 --> 00:33:37,600 Speaker 1: they handle it really very very few cases. Yeah, and 591 00:33:37,640 --> 00:33:40,520 Speaker 1: like we we reached out internationally to provide aid as 592 00:33:40,520 --> 00:33:42,480 Speaker 1: we need it, Like things that happened in other parts 593 00:33:42,520 --> 00:33:44,720 Speaker 1: of the world direct will affect us. Yeah. Yeah, So 594 00:33:44,800 --> 00:33:47,760 Speaker 1: if you clamp down on that area, um, then it 595 00:33:47,800 --> 00:33:50,800 Speaker 1: makes anything that happens over here less and then you 596 00:33:50,840 --> 00:33:55,360 Speaker 1: take care of the situation here, um, and then later 597 00:33:55,400 --> 00:33:58,040 Speaker 1: you can be like, Hi, I'm Barack Obama and I 598 00:33:58,080 --> 00:34:00,000 Speaker 1: told you so. It sounds like one of those classics 599 00:34:00,000 --> 00:34:03,440 Speaker 1: situations that nothing can be learned from. It does interestingly 600 00:34:04,000 --> 00:34:08,360 Speaker 1: real quick, We're just gonna play just about thirty seconds 601 00:34:08,400 --> 00:34:12,840 Speaker 1: of some more of these people on television. Great, I 602 00:34:12,880 --> 00:34:14,960 Speaker 1: can't wait to hear what will definitely not be frustrating. 603 00:34:15,000 --> 00:34:16,880 Speaker 1: I bet it won't be. I bet I love them. 604 00:34:16,960 --> 00:34:19,560 Speaker 1: And it's all really starts at the top. It starts 605 00:34:19,800 --> 00:34:23,520 Speaker 1: with Obama and lots of bad things are happening to 606 00:34:23,600 --> 00:34:26,680 Speaker 1: this country. Obama has imported dangerous things into this country 607 00:34:26,680 --> 00:34:29,760 Speaker 1: since he got there. He's imported socialism here, He's imported 608 00:34:30,440 --> 00:34:35,440 Speaker 1: into America. The president should be cautious safety first, but 609 00:34:35,480 --> 00:34:38,759 Speaker 1: we're doing political correctness first. Why has the president done 610 00:34:38,800 --> 00:34:43,919 Speaker 1: absolutely nothing? Obama's incompetency, his administration's in competency is really 611 00:34:43,920 --> 00:34:47,080 Speaker 1: shining bright in this one. And if only President Obama 612 00:34:47,120 --> 00:34:50,120 Speaker 1: would put America first. Well, this president is all about 613 00:34:50,160 --> 00:34:54,000 Speaker 1: making America safe again. No president ever except Donald Trump 614 00:34:54,160 --> 00:34:58,200 Speaker 1: ever acted faster. So those are fun um, fun and good, 615 00:34:58,320 --> 00:35:03,560 Speaker 1: fun and good and great. Frustrated interesting that powerfully powerfully 616 00:35:03,560 --> 00:35:10,319 Speaker 1: erotic quotes from the powerfully erotic Jesse Waters complaining about 617 00:35:10,320 --> 00:35:14,319 Speaker 1: Obama importing ebola and socialism to America. So this is 618 00:35:14,480 --> 00:35:17,879 Speaker 1: a bit frustrating, I would say, Um, compared to their 619 00:35:17,920 --> 00:35:22,640 Speaker 1: reaction now to an actual disaster, it's way worse than 620 00:35:22,680 --> 00:35:25,360 Speaker 1: what they were talking about. Again, very few cases in 621 00:35:25,400 --> 00:35:28,000 Speaker 1: America during the bowl outbreak. They were taken care of, 622 00:35:29,120 --> 00:35:33,680 Speaker 1: very response. Just reading a headline. The US cases now 623 00:35:33,760 --> 00:35:39,879 Speaker 1: top twice what I said in the right and California 624 00:35:40,040 --> 00:35:45,719 Speaker 1: good number panicking officials anyway, not finish. It's because there's 625 00:35:45,719 --> 00:35:47,319 Speaker 1: so many more than we know. We just don't know 626 00:35:47,400 --> 00:35:51,040 Speaker 1: because we don't have testing continue. Yeah, Um, just a 627 00:35:51,120 --> 00:35:54,760 Speaker 1: quick this is a quick quote from Mr Obama after 628 00:35:54,800 --> 00:35:56,759 Speaker 1: the fact when it was taken care of, and sort 629 00:35:56,760 --> 00:35:59,520 Speaker 1: of the message that he put forth that was actually 630 00:35:59,520 --> 00:36:01,800 Speaker 1: fine in it in the twenty one century, we cannot 631 00:36:01,840 --> 00:36:04,359 Speaker 1: build moats around our country. Is there are no drawbridges 632 00:36:04,400 --> 00:36:07,239 Speaker 1: to be pulled up, we shouldn't try. Some worried about 633 00:36:07,280 --> 00:36:09,680 Speaker 1: bringing the disease to our shores that we had to. 634 00:36:10,440 --> 00:36:12,160 Speaker 1: But then he'd commented that we had to make the 635 00:36:12,200 --> 00:36:16,319 Speaker 1: decisions based not on fear, but on science. You were 636 00:36:16,320 --> 00:36:20,120 Speaker 1: called October three weeks in which all too often we 637 00:36:20,160 --> 00:36:23,799 Speaker 1: heard science being ignored in sessaialism. Just it's just very 638 00:36:23,920 --> 00:36:29,280 Speaker 1: nice to hear a president listen to science and like Obama, 639 00:36:30,960 --> 00:36:38,920 Speaker 1: I'm errative, no croc insane, No Obama anyway. Uh. The 640 00:36:38,960 --> 00:36:41,840 Speaker 1: person that was most upset about a bullet during this period, 641 00:36:41,880 --> 00:36:45,440 Speaker 1: as Robert alluded to, was Donald J. Trump. Um. I 642 00:36:45,480 --> 00:36:48,200 Speaker 1: think it's it can get a little tiresome to be like, 643 00:36:48,200 --> 00:36:51,279 Speaker 1: there's a tweet for everything. Uh, And that's because there's 644 00:36:51,280 --> 00:36:55,440 Speaker 1: a tweet for everything, every single every single thing, every 645 00:36:55,520 --> 00:36:59,839 Speaker 1: single thing. It's like this whole experience that we're having 646 00:37:00,040 --> 00:37:04,239 Speaker 1: is written by somebody to drive us mad, every single thing. 647 00:37:04,560 --> 00:37:08,600 Speaker 1: In Donald Trump's case, for this specific instance, there are 648 00:37:08,640 --> 00:37:12,000 Speaker 1: a hundred tweets for this. He tweeted about this so much, 649 00:37:12,480 --> 00:37:16,920 Speaker 1: he was so often obsessed with is exactly, um, so 650 00:37:17,080 --> 00:37:19,520 Speaker 1: just I'm just constant tweets. I know for sure that 651 00:37:19,520 --> 00:37:22,960 Speaker 1: our leaders are incompetent um. Obama just appointed in a 652 00:37:23,000 --> 00:37:25,880 Speaker 1: Bulazar with zero experience in the medical areas and experience 653 00:37:25,920 --> 00:37:28,839 Speaker 1: and inspectious disease control a total joke. I wonder who 654 00:37:28,880 --> 00:37:32,520 Speaker 1: he could refer to today about that. President Obama has 655 00:37:32,520 --> 00:37:34,920 Speaker 1: a major meeting on the NYC, a Bowl outbreak with 656 00:37:34,960 --> 00:37:37,400 Speaker 1: people flying in from all over the country, but decided 657 00:37:37,440 --> 00:37:41,520 Speaker 1: to play golf. He literally did that yesterday. Well he 658 00:37:41,680 --> 00:37:44,560 Speaker 1: needs to. Yeah, he needs to go to the club 659 00:37:44,600 --> 00:37:48,040 Speaker 1: and shake some hands and relax with his golf. There's 660 00:37:48,040 --> 00:37:49,800 Speaker 1: just one more tweet from Donald Trump, and because I 661 00:37:49,840 --> 00:37:52,560 Speaker 1: think it's perfect, I forgot to read it. Quote Ibola 662 00:37:52,640 --> 00:37:55,960 Speaker 1: has been confirmed in NYC, with officials frantically trying to 663 00:37:56,000 --> 00:37:58,520 Speaker 1: find all of the people and things he had contact with. 664 00:37:58,880 --> 00:38:03,359 Speaker 1: Obama's fault a total incompetent um. We we don't need 665 00:38:03,400 --> 00:38:05,960 Speaker 1: to read more of them. There are and I'm not 666 00:38:06,000 --> 00:38:10,839 Speaker 1: exaggerating hundred tweets about this, You're not exaggerating, I know 667 00:38:11,040 --> 00:38:15,000 Speaker 1: so It's just a little compare contrast on how actual 668 00:38:15,840 --> 00:38:24,440 Speaker 1: like competent administration with a scientifically literate, considerate president deals 669 00:38:24,440 --> 00:38:27,800 Speaker 1: with the situation and what the media does in their reaction. 670 00:38:28,080 --> 00:38:31,360 Speaker 1: And now thank you for that depressing comparisons. Yeah, we 671 00:38:31,480 --> 00:38:35,160 Speaker 1: gotta take a quick break those things that we do 672 00:38:35,360 --> 00:38:40,200 Speaker 1: for these products that, unlike the Trump administration, will not 673 00:38:40,440 --> 00:38:46,200 Speaker 1: conflate ebola and co We're gonna if you don't want 674 00:38:46,200 --> 00:38:50,319 Speaker 1: a bowlah, all of these products are medically guaranteed by 675 00:38:50,320 --> 00:38:52,560 Speaker 1: the FDA to cure it. Also, when we get back, 676 00:38:52,600 --> 00:38:55,640 Speaker 1: we're going to be talking about what could happen with 677 00:38:55,680 --> 00:38:59,360 Speaker 1: the economy, and if you are afraid of the economy 678 00:38:59,400 --> 00:39:02,680 Speaker 1: taking thinking, maybe invest in some products and services, some 679 00:39:02,719 --> 00:39:06,799 Speaker 1: products and services like the ones we sell or only 680 00:39:06,840 --> 00:39:09,840 Speaker 1: those on an angle grinder which you can use to 681 00:39:09,880 --> 00:39:14,440 Speaker 1: cut through barbed wire fences, razor wire locks, mints. We're 682 00:39:14,440 --> 00:39:16,839 Speaker 1: going to be right back, guys in your car that 683 00:39:16,880 --> 00:39:31,280 Speaker 1: the state is okay, Ye, together everything and we're back. 684 00:39:33,440 --> 00:39:38,840 Speaker 1: My coronavirus that I caught of the live show. Um 685 00:39:38,880 --> 00:39:43,040 Speaker 1: so I am tasked with talking a little bit about, 686 00:39:43,320 --> 00:39:48,680 Speaker 1: uh well, the economic impact and potential economic impact the 687 00:39:48,680 --> 00:39:53,719 Speaker 1: coronavirus and I need to just state that this is 688 00:39:53,840 --> 00:40:00,000 Speaker 1: not my field of expertise. Uh So do my best here. Um. 689 00:40:00,080 --> 00:40:03,200 Speaker 1: As most of you guys probably know, the stock market 690 00:40:03,280 --> 00:40:06,160 Speaker 1: took a big nose dive on Monday of this week, 691 00:40:06,239 --> 00:40:08,239 Speaker 1: and everyone started to freak out a little bit or 692 00:40:08,280 --> 00:40:11,719 Speaker 1: a lot. According to c NBC, the Dow dropped seven 693 00:40:11,760 --> 00:40:15,040 Speaker 1: point eight percent or two thousand and thirteen points, the 694 00:40:15,040 --> 00:40:18,640 Speaker 1: biggest percent point drop in its history. Starting that quote again, 695 00:40:18,800 --> 00:40:21,360 Speaker 1: According to the c NBC, the Dow dropped seven percent 696 00:40:21,560 --> 00:40:24,440 Speaker 1: or two thousand thirteen points, the biggest point drop in 697 00:40:24,440 --> 00:40:27,640 Speaker 1: its history. That's the s n P five was also 698 00:40:27,680 --> 00:40:30,719 Speaker 1: down seven point six percent and was lower than it's 699 00:40:30,719 --> 00:40:33,400 Speaker 1: all time high in February. That if the benchmark, it 700 00:40:34,239 --> 00:40:36,480 Speaker 1: would fall in bearer market territory for the first time 701 00:40:36,480 --> 00:40:41,400 Speaker 1: in over a decade. UM. So that was bad. Everyone's panicking. 702 00:40:41,480 --> 00:40:45,240 Speaker 1: It's not good. It's not good. Um. Thankfully, the markets 703 00:40:45,280 --> 00:40:48,160 Speaker 1: recovered a little bit Tuesday morning, allaying some of people's 704 00:40:48,160 --> 00:40:51,680 Speaker 1: worst fears, but not alleviating the very real concern of 705 00:40:51,719 --> 00:40:56,880 Speaker 1: a potential recession. Also, it is stuff changes. Um. So okay, 706 00:40:56,880 --> 00:40:59,280 Speaker 1: the big question on everybody's mind is are we heading 707 00:40:59,360 --> 00:41:04,000 Speaker 1: towards a huge global recession. Different pieces that I've read 708 00:41:04,040 --> 00:41:06,719 Speaker 1: say different things. Some say we are heading towards one, 709 00:41:06,800 --> 00:41:09,799 Speaker 1: others say it's just a possibility. They all agree that 710 00:41:10,400 --> 00:41:13,600 Speaker 1: recessions are hard to predict. So cool. Uh. It really 711 00:41:13,640 --> 00:41:17,520 Speaker 1: does depend on how this whole thing plays down. Um, 712 00:41:17,560 --> 00:41:20,160 Speaker 1: but I can say right now is that we are 713 00:41:20,200 --> 00:41:23,560 Speaker 1: currently far from in America at least far from a 714 00:41:23,920 --> 00:41:27,680 Speaker 1: real recession. UM. So I don't want people panicking just yet, 715 00:41:27,719 --> 00:41:32,400 Speaker 1: even though I myself have felt. Yeah, what you're saying, 716 00:41:32,400 --> 00:41:34,640 Speaker 1: I think, Katie, is that we're good and things will 717 00:41:34,640 --> 00:41:37,319 Speaker 1: be good forever. Yeah. Perfect, That's exactly what I needed 718 00:41:37,360 --> 00:41:41,840 Speaker 1: to take away from this, you know. I mean, it 719 00:41:41,880 --> 00:41:45,680 Speaker 1: would take a while for the effects, uh to really 720 00:41:45,800 --> 00:41:48,760 Speaker 1: hit our market in a in a long term way. 721 00:41:48,920 --> 00:41:51,839 Speaker 1: This would have to play out for a very long time. Um. 722 00:41:51,920 --> 00:41:53,719 Speaker 1: And it's still kind of new, so we don't really 723 00:41:53,719 --> 00:41:56,480 Speaker 1: know what's going to happen. But well, that said, it 724 00:41:56,480 --> 00:41:59,400 Speaker 1: already has and will continue to have an economic impact 725 00:41:59,760 --> 00:42:01,920 Speaker 1: that it is immediately detrimental, at least in the short 726 00:42:02,000 --> 00:42:06,360 Speaker 1: term to you know, local economies and citizens in different communities, 727 00:42:06,600 --> 00:42:08,560 Speaker 1: especially people in service industry jobs. And we're going to 728 00:42:08,640 --> 00:42:10,200 Speaker 1: get into that in a second. But first I just 729 00:42:10,200 --> 00:42:12,880 Speaker 1: want to break down a little bit what an epidemic 730 00:42:13,000 --> 00:42:17,680 Speaker 1: recession is. So an epidemic cause recession is different than 731 00:42:17,680 --> 00:42:21,320 Speaker 1: other recessions because the drop in spending isn't caused by 732 00:42:21,440 --> 00:42:23,799 Speaker 1: a lack of income per se, but by people not 733 00:42:23,840 --> 00:42:27,080 Speaker 1: going out and buying things they isolate and fear of 734 00:42:27,200 --> 00:42:30,719 Speaker 1: contracting the virus or because of forced quarantines and all 735 00:42:30,760 --> 00:42:32,920 Speaker 1: of that. Uh. And there are different things that can 736 00:42:32,960 --> 00:42:35,640 Speaker 1: lead to a recession. One is a supply shock, where 737 00:42:35,640 --> 00:42:39,640 Speaker 1: there's a problem with the production of a product or 738 00:42:39,760 --> 00:42:42,719 Speaker 1: a service, if you will, like if you have a 739 00:42:42,719 --> 00:42:46,480 Speaker 1: bad harvest. And then another is demand shock, where there 740 00:42:46,480 --> 00:42:50,800 Speaker 1: where the demand for a product hand sanitizing or a service. No, 741 00:42:50,800 --> 00:42:53,279 Speaker 1: no, no no, that's different. That's the worst example you can 742 00:42:53,280 --> 00:42:55,160 Speaker 1: give for the end of my sentence. You have to 743 00:42:55,239 --> 00:42:58,640 Speaker 1: let me finish a sentence. Another is demand shock, which 744 00:42:58,680 --> 00:43:01,480 Speaker 1: is where the demand for a product or service declines. 745 00:43:02,360 --> 00:43:04,960 Speaker 1: And so here's here's a kind of a long quote 746 00:43:04,960 --> 00:43:08,759 Speaker 1: but from Axios. But I think it encapsulates things really well. 747 00:43:09,200 --> 00:43:13,080 Speaker 1: A globe of pandemic sounds deceptively like a supply side problem. 748 00:43:13,160 --> 00:43:15,440 Speaker 1: China shut down a bunch of factories to halt the 749 00:43:15,480 --> 00:43:18,680 Speaker 1: spread of infection, and now there's no hand sanitizer to 750 00:43:18,719 --> 00:43:21,279 Speaker 1: be had, and apple products are back ordered. But that's 751 00:43:21,280 --> 00:43:23,240 Speaker 1: not all that's happening. We're looking at what a college 752 00:43:23,239 --> 00:43:25,360 Speaker 1: e con textbook would call a shock to the demand 753 00:43:25,360 --> 00:43:27,359 Speaker 1: side of the economy, on top of the supply side 754 00:43:27,360 --> 00:43:30,640 Speaker 1: disruptions kind of both. Um, a demand shock is something 755 00:43:30,680 --> 00:43:33,840 Speaker 1: like what started when American house prices began to slide 756 00:43:33,880 --> 00:43:36,200 Speaker 1: downward in two thousand seven and two eight. Because prices 757 00:43:36,200 --> 00:43:39,160 Speaker 1: were declining, investors got less interested in building new houses, 758 00:43:39,400 --> 00:43:42,520 Speaker 1: and because prices were declining, homeowners felt poorer and became 759 00:43:42,600 --> 00:43:46,799 Speaker 1: less likely to make major purchases. Since the pandemic began, 760 00:43:46,880 --> 00:43:49,160 Speaker 1: global demand for every kind of raw material, from industrial 761 00:43:49,200 --> 00:43:51,840 Speaker 1: metals to staple crops like wheat and soybanes has dropped. 762 00:43:52,080 --> 00:43:54,680 Speaker 1: Businesses know that means global spending is going to slow, 763 00:43:54,719 --> 00:43:57,640 Speaker 1: and so they take measures to prepare, like idling workers 764 00:43:57,640 --> 00:44:01,600 Speaker 1: and reducing output. Already, the aviation industry, which was initially 765 00:44:01,680 --> 00:44:04,879 Speaker 1: shifting aircraft from China routes to other opportunities, is just 766 00:44:05,200 --> 00:44:09,440 Speaker 1: settling for for flying fewer planes and paying fewer workers. 767 00:44:09,440 --> 00:44:12,000 Speaker 1: Will come back to that. So like I mentioned earlier. 768 00:44:12,120 --> 00:44:15,440 Speaker 1: Even if this doesn't become a full blown, our worst 769 00:44:15,520 --> 00:44:19,120 Speaker 1: fear kind of recession, we are already seeing uh its 770 00:44:19,120 --> 00:44:23,960 Speaker 1: effects in communities that are heavily hit by the virus. UM. 771 00:44:24,000 --> 00:44:26,840 Speaker 1: So far, the biggest cases with the most economic impact 772 00:44:26,960 --> 00:44:32,120 Speaker 1: are you know, China in Italy, places like that China, 773 00:44:32,360 --> 00:44:33,880 Speaker 1: if you will, that's what we have. We refer to 774 00:44:33,920 --> 00:44:36,680 Speaker 1: them both because we need too so often that sounds 775 00:44:36,719 --> 00:44:40,200 Speaker 1: pc UM. Obviously, China has been dealing with the economic 776 00:44:40,200 --> 00:44:42,840 Speaker 1: effects of this the longest, and up until recently, it 777 00:44:42,920 --> 00:44:45,560 Speaker 1: has had the majority of the cases to deal with. 778 00:44:45,560 --> 00:44:49,560 Speaker 1: I guess it still does, but it's that number is changing. UM. 779 00:44:49,600 --> 00:44:51,000 Speaker 1: So it's a good look to that. It's good to 780 00:44:51,000 --> 00:44:53,800 Speaker 1: look at them for perspective, and it isn't great. Virtually 781 00:44:53,840 --> 00:44:56,600 Speaker 1: all tourism has stopped, not just within the country, but 782 00:44:56,760 --> 00:45:01,400 Speaker 1: leaving the country. Data shows international flights booked from China 783 00:45:01,719 --> 00:45:06,279 Speaker 1: are behind by fifty almost fifty basically in comparison with 784 00:45:06,320 --> 00:45:12,480 Speaker 1: the same period in Chinese car sales have dropped in February, 785 00:45:12,840 --> 00:45:16,959 Speaker 1: quarantines have caused massive layoffs. UM. It will be hard 786 00:45:16,960 --> 00:45:21,399 Speaker 1: to stop China from entering a recession that seems inevitable. Um. 787 00:45:21,560 --> 00:45:23,400 Speaker 1: And an important thing to note is that if the 788 00:45:23,480 --> 00:45:25,719 Speaker 1: virus did spread in the States the way it did 789 00:45:25,719 --> 00:45:29,279 Speaker 1: in China, our economic reality, the fallout would be way 790 00:45:29,280 --> 00:45:35,319 Speaker 1: more severe. Um. So that's fun in Italy. Um. God. 791 00:45:35,360 --> 00:45:38,600 Speaker 1: Then there's Italy. Uh. At first this week they announced 792 00:45:38,600 --> 00:45:41,680 Speaker 1: that seventeen million people would be quarantine, and then they 793 00:45:41,719 --> 00:45:46,520 Speaker 1: took the absolutely unprecedented step of putting the entire country 794 00:45:46,640 --> 00:45:51,120 Speaker 1: on lockdown. An entire country is on lockdown, and and 795 00:45:51,120 --> 00:45:54,080 Speaker 1: and Jesus, can you even wrack your mind around what 796 00:45:54,120 --> 00:45:56,400 Speaker 1: that means economically for them? I mean, because what we 797 00:45:56,440 --> 00:45:59,120 Speaker 1: have over there's a combination of quarantine people not being 798 00:45:59,120 --> 00:46:01,799 Speaker 1: able to work, plus a dramatic drop in to them, 799 00:46:01,800 --> 00:46:03,920 Speaker 1: I mean tragic, a lot of them, a lot of 800 00:46:03,960 --> 00:46:06,319 Speaker 1: monzarella not being made, a lot of spicy meat, the ball. 801 00:46:06,520 --> 00:46:08,120 Speaker 1: How are you going to get your spicy meat a ball? 802 00:46:08,760 --> 00:46:12,720 Speaker 1: Not being able to do gestures because they spread the coronavirus. 803 00:46:12,719 --> 00:46:17,880 Speaker 1: How it's fine to keeping Absolutely, I don't even like 804 00:46:18,040 --> 00:46:21,440 Speaker 1: joking about it because it's so horrific. Um. You know, 805 00:46:22,160 --> 00:46:25,160 Speaker 1: you see these reports over there, and it's really shocking. 806 00:46:25,200 --> 00:46:27,600 Speaker 1: I mean, all the tourist sites are closed. It really 807 00:46:27,640 --> 00:46:30,440 Speaker 1: is catastrophic for the economy. I heard a post recently. 808 00:46:30,560 --> 00:46:32,640 Speaker 1: I read a post recently from an Italian up in 809 00:46:32,800 --> 00:46:35,759 Speaker 1: northern Italy, um, kind of where the epidem has been worse, 810 00:46:35,840 --> 00:46:37,279 Speaker 1: and they made a comment along the lines of, like, 811 00:46:37,320 --> 00:46:39,719 Speaker 1: when this first started spreading, like a lot of people 812 00:46:39,719 --> 00:46:41,399 Speaker 1: were talking about it was just like a normal flu, 813 00:46:41,920 --> 00:46:44,439 Speaker 1: and so we didn't change anything, and we kept going out, 814 00:46:44,520 --> 00:46:46,799 Speaker 1: and like now a bunch of our parents and grandparents 815 00:46:46,800 --> 00:46:50,560 Speaker 1: are all dying. It's like, yeah, um, you know, and 816 00:46:50,600 --> 00:46:57,320 Speaker 1: we didn't spicy meat. Yeah. Yeah. This is a quote 817 00:46:57,360 --> 00:47:00,200 Speaker 1: from the Washington Post. In Italy, the economic slowdown will 818 00:47:00,239 --> 00:47:02,640 Speaker 1: be profound. The damage will be measured not just with 819 00:47:02,640 --> 00:47:05,960 Speaker 1: supply chain interruptions and lost tourism, but with business closures, 820 00:47:06,000 --> 00:47:09,720 Speaker 1: spiking unemployment, defaulted loans, and the likelihood of major government 821 00:47:09,760 --> 00:47:13,840 Speaker 1: bail bailouts. Even before the virus's arrival, Italy was poised 822 00:47:13,880 --> 00:47:16,120 Speaker 1: for a recession and its economy had scarcely grown in 823 00:47:16,160 --> 00:47:19,680 Speaker 1: twenty years. And people shouldn't panic. We don't want people 824 00:47:19,719 --> 00:47:22,120 Speaker 1: to panic. That the opposite of what should be happening 825 00:47:22,200 --> 00:47:25,319 Speaker 1: right now to to stop a recession from happening. But 826 00:47:25,400 --> 00:47:29,680 Speaker 1: it's indisputable that when major markets are hit. Uh, it affects. 827 00:47:29,920 --> 00:47:32,680 Speaker 1: Do you feel the ripples worldwide? You feel the ripples worldwide. 828 00:47:32,719 --> 00:47:34,440 Speaker 1: And even if you are in a place where your 829 00:47:34,520 --> 00:47:38,360 Speaker 1: president is not a gross clown monster, the government response 830 00:47:38,440 --> 00:47:40,960 Speaker 1: is more likely than not to be incompetent and slow. 831 00:47:41,600 --> 00:47:44,560 Speaker 1: And as a general rule, win a disaster hits. And 832 00:47:44,560 --> 00:47:46,160 Speaker 1: this is something that there's actually quite a lot of 833 00:47:46,200 --> 00:47:48,800 Speaker 1: scholarship on because it doesn't just apply to epidemics. Applies 834 00:47:48,960 --> 00:47:51,800 Speaker 1: applies to hurricanes, that applies to tornadoes and applaced earthquakes. 835 00:47:52,040 --> 00:47:57,279 Speaker 1: As a general rule, worldwide, the state response to your 836 00:47:57,360 --> 00:48:01,799 Speaker 1: problem will be slow, inefficient, and insufficient, and you will 837 00:48:01,840 --> 00:48:04,480 Speaker 1: be on your own for taking care of yourself and 838 00:48:04,520 --> 00:48:06,719 Speaker 1: the people around you. And that is a reality most 839 00:48:06,760 --> 00:48:09,120 Speaker 1: of us will have. We're seeing. We didn't mention this earlier. 840 00:48:09,120 --> 00:48:10,960 Speaker 1: There's just so many things to touch on news stories 841 00:48:10,960 --> 00:48:15,080 Speaker 1: with this Sacramento today, Like so New York was quarantining 842 00:48:15,400 --> 00:48:20,320 Speaker 1: the different communities that have a large number of outbreaks. 843 00:48:20,360 --> 00:48:23,239 Speaker 1: They're saying, Sacramento has just thrown up their hands, and 844 00:48:23,280 --> 00:48:25,839 Speaker 1: they're saying self quarantine if you have symptoms, and that's 845 00:48:25,880 --> 00:48:28,160 Speaker 1: the most that they're going to do. And and like 846 00:48:28,239 --> 00:48:32,040 Speaker 1: you stories about nurses getting infected and not being given 847 00:48:32,320 --> 00:48:34,160 Speaker 1: I'm sure a lot of you have seen that letter 848 00:48:34,200 --> 00:48:37,239 Speaker 1: floating around Twitter, not having not being allowed to give 849 00:48:37,239 --> 00:48:40,880 Speaker 1: a test because there aren't tests available. And anyway, I 850 00:48:40,920 --> 00:48:44,040 Speaker 1: mean it does fit with Sacramento's motto is the city 851 00:48:44,080 --> 00:48:49,879 Speaker 1: of that's our capital. Anyway, back to the economic stuff. Um, 852 00:48:49,920 --> 00:48:53,320 Speaker 1: so we're not at that point here in the United 853 00:48:53,320 --> 00:48:56,120 Speaker 1: States like literally in China give us a week, but 854 00:48:56,200 --> 00:48:57,920 Speaker 1: we are beginning to see its effects. And before I 855 00:48:57,960 --> 00:49:01,319 Speaker 1: get into um, what's happening different cities, I want to 856 00:49:01,360 --> 00:49:03,239 Speaker 1: stress that one of the industries that we are seeing 857 00:49:03,640 --> 00:49:07,080 Speaker 1: being hit really hard, it's actually Chinese restaurants. Uh. If 858 00:49:07,120 --> 00:49:10,839 Speaker 1: you want, I know, if you guys want to combat 859 00:49:10,880 --> 00:49:13,759 Speaker 1: the racist effects of this epidemic, which I hope I 860 00:49:13,760 --> 00:49:15,440 Speaker 1: don't have to spell out to you how that's happening, 861 00:49:15,760 --> 00:49:18,440 Speaker 1: please take yourself out to dinner a Chinese restaurant if 862 00:49:18,440 --> 00:49:21,640 Speaker 1: you're not sick, or order it whatever you want. Don't 863 00:49:21,680 --> 00:49:27,000 Speaker 1: avoid your city's downtown Chinatown district. Uh. Here's a quote 864 00:49:28,360 --> 00:49:30,640 Speaker 1: the Traditional Archway from from l A Times, and this 865 00:49:30,719 --> 00:49:34,400 Speaker 1: is in l A, you know, a very progressive, open 866 00:49:34,440 --> 00:49:37,640 Speaker 1: minded city. The traditional Archway that welcomes all to Chinatown. 867 00:49:37,719 --> 00:49:40,600 Speaker 1: Central Plaza and North Broadway and downtown Los Angeles greeted 868 00:49:40,600 --> 00:49:44,479 Speaker 1: few visitors last week, The usually vibrant hub for Chinese culture, food, 869 00:49:44,480 --> 00:49:48,759 Speaker 1: and souvenirs more closely resembled a ghost town. It's a 870 00:49:48,760 --> 00:49:53,080 Speaker 1: really sobering feeling that I was not happy to come 871 00:49:53,080 --> 00:49:56,600 Speaker 1: across preparing for this. But it's not surprising. You should 872 00:49:56,600 --> 00:50:01,560 Speaker 1: avoid perhaps visiting an old folks home. Sure, if you 873 00:50:01,600 --> 00:50:04,080 Speaker 1: are a younger person in contact with people who travel, 874 00:50:04,200 --> 00:50:06,600 Speaker 1: you should not avoid Chinatown. Do you guys think that 875 00:50:06,680 --> 00:50:09,759 Speaker 1: it's just genetic? I don't think you guys do um. 876 00:50:09,880 --> 00:50:12,520 Speaker 1: I mean, I guess I think they're probably actually assuming 877 00:50:12,640 --> 00:50:17,000 Speaker 1: that it's like people that Chinatown is filled with Chinese 878 00:50:17,000 --> 00:50:20,800 Speaker 1: people who visit China regularly. And yeah, that's my guess 879 00:50:20,800 --> 00:50:24,200 Speaker 1: as to the etymology. Actually the opposite is probably true. 880 00:50:24,320 --> 00:50:27,920 Speaker 1: People are here trying to make a life here. Yeah. 881 00:50:28,080 --> 00:50:30,880 Speaker 1: I had seen every once in a while Tucker Carlson 882 00:50:30,920 --> 00:50:33,560 Speaker 1: will say something where you're like, oh, that's correct, um, 883 00:50:33,600 --> 00:50:37,560 Speaker 1: And it's insidious. And he because he speaks to the President, 884 00:50:37,640 --> 00:50:40,439 Speaker 1: he did a segment last night about this and about 885 00:50:40,480 --> 00:50:42,600 Speaker 1: the coronavirus and how it's actually a serious thing that 886 00:50:42,640 --> 00:50:46,080 Speaker 1: should be taken seriously, and President needs to do something 887 00:50:46,080 --> 00:50:49,799 Speaker 1: about it. Um. During that segment, he referred to it 888 00:50:50,640 --> 00:50:53,279 Speaker 1: out loud and in a graphic on screen the whole 889 00:50:53,280 --> 00:50:58,759 Speaker 1: time as the Chinese coronavirus. Yeah, they yes, And that's 890 00:50:58,840 --> 00:51:01,799 Speaker 1: catching on for the President to say it, because he's going, 891 00:51:01,840 --> 00:51:06,240 Speaker 1: he's going to and yeah, it's just it's just something 892 00:51:06,280 --> 00:51:11,200 Speaker 1: that uh's gonna it's gonna get worse. And I hope 893 00:51:11,239 --> 00:51:15,800 Speaker 1: that everybody recognizes it and resists it all right. Back 894 00:51:15,840 --> 00:51:19,440 Speaker 1: to uh some of effects other effects here in the 895 00:51:19,480 --> 00:51:23,400 Speaker 1: States Seattle. Seattle is currently experiencing one of the largest 896 00:51:23,400 --> 00:51:26,720 Speaker 1: outbreaks in the United States. Officials have been telling people 897 00:51:26,719 --> 00:51:30,680 Speaker 1: to stay in. A friend of um somewhere news are. 898 00:51:30,760 --> 00:51:33,080 Speaker 1: Our friend Margaret who has been some research for US, 899 00:51:33,480 --> 00:51:36,520 Speaker 1: lives in Seattle and was texting me about texting with 900 00:51:36,560 --> 00:51:38,640 Speaker 1: me about this either day and and um, she's self 901 00:51:38,719 --> 00:51:41,560 Speaker 1: quarantine and the whole city is apparently you know, also 902 00:51:41,680 --> 00:51:44,240 Speaker 1: like China down a ghost town, you know, government encouraging 903 00:51:44,280 --> 00:51:46,920 Speaker 1: people to stay home. And for some people, you know Seattle, 904 00:51:46,960 --> 00:51:48,839 Speaker 1: there's a lot of tech industry stuff. For some people 905 00:51:48,880 --> 00:51:52,160 Speaker 1: that's fine. They can work from home. But Seattle is 906 00:51:52,200 --> 00:51:55,040 Speaker 1: also known for its coffee shops. It's a service industry. 907 00:51:55,080 --> 00:51:57,920 Speaker 1: And like I was mentioning earlier, you know, this is 908 00:51:57,920 --> 00:52:02,279 Speaker 1: the majority of people UM have have jobs. We have 909 00:52:02,280 --> 00:52:05,480 Speaker 1: to show up in person, so what's happening to them? 910 00:52:05,520 --> 00:52:07,600 Speaker 1: These are also the people that are least likely to 911 00:52:07,640 --> 00:52:11,399 Speaker 1: have savings to fall back on. UM. In fact, about 912 00:52:11,400 --> 00:52:14,040 Speaker 1: a quarter of Americans have no paid sick days, and 913 00:52:14,080 --> 00:52:16,960 Speaker 1: that's actually something that we could do and need to 914 00:52:17,040 --> 00:52:21,400 Speaker 1: do to help offset the economic impact of any pandemic. 915 00:52:21,480 --> 00:52:24,799 Speaker 1: But this one, Uh, it's mandatory sick days, and that 916 00:52:24,920 --> 00:52:28,840 Speaker 1: is something that the government could could UM enact now 917 00:52:29,760 --> 00:52:32,160 Speaker 1: help after this, But honestly, they needed to have already 918 00:52:32,160 --> 00:52:34,280 Speaker 1: done it. I feel like you're acting like the government's 919 00:52:34,360 --> 00:52:37,960 Speaker 1: job to protect human health and welfare. I am. I 920 00:52:38,040 --> 00:52:41,680 Speaker 1: am saying that UM also throwing this out here out there. 921 00:52:42,360 --> 00:52:45,560 Speaker 1: Schools are being canceled, people aren't allowed to go to school, 922 00:52:45,560 --> 00:52:50,239 Speaker 1: so what how are working parents figuring out child care? Uh? 923 00:52:50,280 --> 00:52:52,960 Speaker 1: There's a lot of huge things that you don't think 924 00:52:52,960 --> 00:52:58,120 Speaker 1: about immediately that are vitally important to people's way of life. 925 00:52:58,239 --> 00:53:00,919 Speaker 1: It's like if your whole co ture is based around 926 00:53:00,960 --> 00:53:05,000 Speaker 1: maximizing profit at at like yeah, yeah, And and if 927 00:53:05,040 --> 00:53:06,800 Speaker 1: if that's like the only thing that matters and the 928 00:53:06,840 --> 00:53:09,680 Speaker 1: people in power, that's the only thing that matters to them, um, 929 00:53:09,800 --> 00:53:13,040 Speaker 1: they will eventually wind up making decisions that actually catastrophically 930 00:53:13,120 --> 00:53:16,840 Speaker 1: compromise their ability to to make profits because they're incredibly shortsighted. 931 00:53:16,880 --> 00:53:19,799 Speaker 1: The thing about sickly is that that sounds expensive, but 932 00:53:19,840 --> 00:53:23,880 Speaker 1: it's not as bad as plague. As a plague, and 933 00:53:23,920 --> 00:53:26,600 Speaker 1: also it's just human decency. And then we look at 934 00:53:26,600 --> 00:53:30,520 Speaker 1: places like Austin, Texas. You guys have seen the news 935 00:53:30,600 --> 00:53:35,160 Speaker 1: south By Southwest has been canceled this year, um, and 936 00:53:35,200 --> 00:53:37,360 Speaker 1: you're like, oh, dang, that sucks. I mean that really 937 00:53:37,400 --> 00:53:41,520 Speaker 1: sucks for south By Southwest. That is potentially bankrupting, uh, 938 00:53:41,560 --> 00:53:45,840 Speaker 1: the whole organization. So there's that, But then it's Austin 939 00:53:46,239 --> 00:53:49,960 Speaker 1: depends on this this revenue. You know, people that have 940 00:53:50,120 --> 00:53:52,719 Speaker 1: been preparing so many stories of people are like, I 941 00:53:52,760 --> 00:53:55,360 Speaker 1: don't know how I'm going to make people people playing 942 00:53:55,560 --> 00:53:58,960 Speaker 1: their entire year, but huge numbers of the people who 943 00:53:58,960 --> 00:54:01,160 Speaker 1: live in the city of Austin and like this helps 944 00:54:01,160 --> 00:54:04,160 Speaker 1: them get through the year. Also, surprisingly, the entertainment industry 945 00:54:04,200 --> 00:54:06,560 Speaker 1: is also one of the most affected markets. Um. You know, 946 00:54:06,600 --> 00:54:09,600 Speaker 1: they already feeling the impact because the movie, the movie 947 00:54:09,600 --> 00:54:12,200 Speaker 1: industry is worldwide. China is a huge market, and you 948 00:54:12,239 --> 00:54:14,480 Speaker 1: know they're seeing lots of movie theater closures around the 949 00:54:14,480 --> 00:54:18,120 Speaker 1: world in a general decline and intendance, plus cancelations of 950 00:54:18,160 --> 00:54:20,480 Speaker 1: film festivals like this, and all the money that investments 951 00:54:20,480 --> 00:54:23,440 Speaker 1: that have gone into that. Um, people banking on on 952 00:54:23,440 --> 00:54:27,640 Speaker 1: on movies being sold at south By oddly enough, uh, 953 00:54:27,800 --> 00:54:31,640 Speaker 1: through all of this reading canceling sports events. While you 954 00:54:31,719 --> 00:54:33,920 Speaker 1: might want to do that because it helps lows the 955 00:54:33,960 --> 00:54:37,160 Speaker 1: spread of the disease or the virus, I'm sorry, but 956 00:54:37,520 --> 00:54:43,319 Speaker 1: it detracts from people's employment opportunities. It makes economic stimulus 957 00:54:43,320 --> 00:54:46,640 Speaker 1: really difficult, and it feeds into the idea that the 958 00:54:46,680 --> 00:54:50,200 Speaker 1: economy is feeling, which ends up becoming a self fulfilling prophecies. 959 00:54:50,280 --> 00:54:54,959 Speaker 1: Prophecy it's so fun. But you know what, people listen 960 00:54:55,000 --> 00:54:57,080 Speaker 1: to a lot of podcasts when they're co It's true. 961 00:54:57,200 --> 00:55:00,440 Speaker 1: Well that's the other thing that right, that that you 962 00:55:00,480 --> 00:55:02,920 Speaker 1: know what, we're good, We're fine, don't worry about it, 963 00:55:03,080 --> 00:55:06,200 Speaker 1: you know, but it's this is actually an important point 964 00:55:06,320 --> 00:55:13,239 Speaker 1: because streaming revenues are up so UM, yeah, and then 965 00:55:13,360 --> 00:55:18,200 Speaker 1: of course there are there are more industries taking big hits, 966 00:55:18,360 --> 00:55:21,800 Speaker 1: one of which being the travel industries, particularly cruise ships 967 00:55:21,800 --> 00:55:25,240 Speaker 1: and aviation. And like the people who work at restaurants 968 00:55:25,280 --> 00:55:27,720 Speaker 1: and stuff that get a lot of tour speceis exactly 969 00:55:28,040 --> 00:55:33,520 Speaker 1: exactly employees the airlines are are rightly freaking out. According 970 00:55:33,560 --> 00:55:36,360 Speaker 1: to Axios and other sources, airline executives are warning that 971 00:55:36,400 --> 00:55:39,279 Speaker 1: the slowdown and global travel demand that they're experiencing could 972 00:55:39,280 --> 00:55:41,600 Speaker 1: be worse than nine eleven, and airlines all over the 973 00:55:41,600 --> 00:55:44,320 Speaker 1: world are canceling flights because no one wants to travel. 974 00:55:44,320 --> 00:55:48,080 Speaker 1: They're also reimbursing everybody's flights that they especially to Italy. 975 00:55:48,120 --> 00:55:49,919 Speaker 1: My boyfriend is supposed to go to Italy this week. 976 00:55:52,040 --> 00:55:55,240 Speaker 1: Also because fewer people are traveling, like you're saying, fewer 977 00:55:55,280 --> 00:55:58,000 Speaker 1: people in airports, fewer people paying ten dollars for a 978 00:55:58,000 --> 00:56:01,399 Speaker 1: bottle of water and uh, fewer people buying expensive water 979 00:56:01,440 --> 00:56:04,440 Speaker 1: means reduced hours uh and and wages for people who 980 00:56:04,480 --> 00:56:07,319 Speaker 1: work in airport retail. You've also got some strikes going 981 00:56:07,320 --> 00:56:09,480 Speaker 1: on with two or some butting stretch with t s 982 00:56:09,560 --> 00:56:12,320 Speaker 1: A workers. You're like, wait a second, no one's picking 983 00:56:12,360 --> 00:56:15,719 Speaker 1: any ennance costs for US. I mean, it's wild. This 984 00:56:15,800 --> 00:56:19,440 Speaker 1: is from MPR, the Global Business Travel Association. Estimates that 985 00:56:19,480 --> 00:56:22,880 Speaker 1: have coronavirus related travel restrictions continue, whether the travel cutbacks 986 00:56:22,880 --> 00:56:25,800 Speaker 1: are self imposed or ordered by governments, spending on travel 987 00:56:25,840 --> 00:56:28,240 Speaker 1: around the world could drop by more than thirty seven percent, 988 00:56:28,480 --> 00:56:31,760 Speaker 1: crossing the industry at whopping forty six point six billion 989 00:56:32,120 --> 00:56:35,120 Speaker 1: a month and nearly five hundred and sixty billion in 990 00:56:35,160 --> 00:56:37,360 Speaker 1: a year. The last time we saw anything like this 991 00:56:37,400 --> 00:56:41,280 Speaker 1: with nine elevens, as Scott Slambrino, the organization's executive director, 992 00:56:41,719 --> 00:56:43,640 Speaker 1: that was a complete shutdown of travel. Thank god, We're 993 00:56:43,680 --> 00:56:46,480 Speaker 1: nowhere near that, not yet. Anyway, here's the end of 994 00:56:46,480 --> 00:56:49,680 Speaker 1: the quote. If coronavirus fears continue to lead corporations to 995 00:56:49,719 --> 00:56:52,439 Speaker 1: pool sales, staff, consultants, and other employees off the road, 996 00:56:52,680 --> 00:56:56,640 Speaker 1: and if leisure travelers cancel weekend getaways and destination vacations, 997 00:56:56,920 --> 00:57:02,759 Speaker 1: the economic cost could be staggering. Cool. That's a lot, 998 00:57:03,040 --> 00:57:05,200 Speaker 1: um good time to book a plane flight to a 999 00:57:05,200 --> 00:57:07,000 Speaker 1: warm part of the world. Well, I mean, you know 1000 00:57:07,080 --> 00:57:11,080 Speaker 1: you're looking at cheaper plane tickets if you want to 1001 00:57:11,120 --> 00:57:16,480 Speaker 1: see this is the time the time to do it. Um, 1002 00:57:16,600 --> 00:57:20,560 Speaker 1: So what about that's stock market crash that we talked 1003 00:57:20,560 --> 00:57:23,640 Speaker 1: about at the beginning of this section. Why shouldn't we 1004 00:57:23,680 --> 00:57:27,440 Speaker 1: panick about that? So it's reasonable to be concerned about 1005 00:57:27,480 --> 00:57:31,520 Speaker 1: the stock market crash. I mean, we've got horrific stories 1006 00:57:31,520 --> 00:57:33,960 Speaker 1: of stock market crashes and what's that done to the 1007 00:57:34,000 --> 00:57:36,680 Speaker 1: global economy in the past. Um, And it is reasonable 1008 00:57:36,720 --> 00:57:39,200 Speaker 1: to be concerned. But also it's the stock market. It 1009 00:57:39,240 --> 00:57:44,680 Speaker 1: doesn't directly affect the average American immediately unless you have 1010 00:57:44,720 --> 00:57:50,280 Speaker 1: a ton of investments. UM. John John Schwartz argues in 1011 00:57:50,320 --> 00:57:52,480 Speaker 1: this article that he wrote for The Intercept Um the 1012 00:57:52,560 --> 00:57:55,320 Speaker 1: richest ten percent of US household account for over of 1013 00:57:55,360 --> 00:57:59,040 Speaker 1: American stock ownership. The richest one percent by themselves on 1014 00:57:59,160 --> 00:58:02,920 Speaker 1: half of that or stock. Half of Americans don't own 1015 00:58:03,120 --> 00:58:06,240 Speaker 1: stock at all. He also argues that the obsession with 1016 00:58:06,280 --> 00:58:09,360 Speaker 1: the phantom wealth of the stock market UH distracts and 1017 00:58:09,400 --> 00:58:12,600 Speaker 1: prevents us from focusing fixing problems that actually need to 1018 00:58:12,600 --> 00:58:15,960 Speaker 1: be fixed and saving us. Actually, UM, the better off 1019 00:58:16,000 --> 00:58:20,760 Speaker 1: the stock market does, the worst off the lower classes do. 1020 00:58:21,320 --> 00:58:26,200 Speaker 1: So you know there's that basically because the profits of 1021 00:58:26,440 --> 00:58:29,680 Speaker 1: stockholders are wealth that has been extracted from the working 1022 00:58:29,720 --> 00:58:32,760 Speaker 1: class and then handed to the people who already are 1023 00:58:32,840 --> 00:58:36,920 Speaker 1: rich exactly. And and our obsession with the stock market, 1024 00:58:37,200 --> 00:58:40,560 Speaker 1: watching the stock market, its rises in its dips, makes 1025 00:58:40,600 --> 00:58:43,440 Speaker 1: it like a game, and it kind of misrepresents its 1026 00:58:43,480 --> 00:58:47,440 Speaker 1: importance on our every day lives. Um. And again, just 1027 00:58:47,480 --> 00:58:50,800 Speaker 1: like I was saying before, self fulfilling prophecy, it becomes 1028 00:58:50,840 --> 00:58:53,800 Speaker 1: its own self fulfilling prophecy. So kind of the best 1029 00:58:53,800 --> 00:58:57,080 Speaker 1: advice is to take a step back from watching what's 1030 00:58:57,080 --> 00:59:02,000 Speaker 1: happening there um, taking care of yourself, trying to support businesses, 1031 00:59:02,080 --> 00:59:03,800 Speaker 1: your local economy. You know what I mean, because it 1032 00:59:03,880 --> 00:59:07,920 Speaker 1: might happen. Actually it is the o e c D, 1033 00:59:08,040 --> 00:59:12,240 Speaker 1: the Organization for Economic Cooperation Development, is predicting that economic 1034 00:59:12,240 --> 00:59:15,120 Speaker 1: growth will slow in. We know that. I mean, the 1035 00:59:15,160 --> 00:59:17,880 Speaker 1: best advice I can give people is put all of 1036 00:59:17,920 --> 00:59:22,040 Speaker 1: your money into lic O stock, really invest as much 1037 00:59:22,120 --> 00:59:24,200 Speaker 1: in like I think they're gonna I think they're gonna 1038 00:59:24,200 --> 00:59:29,240 Speaker 1: blow up Yahoo to No, throw it all, throw a 1039 00:59:29,280 --> 00:59:35,720 Speaker 1: bunch in Altivista to Netscape, right, bitcoin, Bitcoin, throw a 1040 00:59:35,720 --> 00:59:39,440 Speaker 1: bunch into bitcoin, it all up in there a stable investments. 1041 00:59:40,760 --> 00:59:47,520 Speaker 1: One last thing on um, this prediction, the probability that 1042 00:59:47,560 --> 00:59:50,880 Speaker 1: economic growth will slow in. This is from the BBC, 1043 00:59:51,640 --> 00:59:53,960 Speaker 1: the world's economy could grow at its slowest rate since 1044 00:59:54,000 --> 00:59:57,880 Speaker 1: two thousand nine this year due to the coronavirus outbreak UM. 1045 00:59:58,080 --> 01:00:01,600 Speaker 1: The think tank has forecast growth of just two down 1046 01:00:01,640 --> 01:00:04,480 Speaker 1: from two point nine in November, and also said that 1047 01:00:04,520 --> 01:00:07,960 Speaker 1: a longer lasting and more intensive outbreak could have growth 1048 01:00:08,120 --> 01:00:12,360 Speaker 1: to one. Factories to spend their activities and workers stay 1049 01:00:12,360 --> 01:00:16,720 Speaker 1: at home to try to contain the virus UM. And 1050 01:00:18,520 --> 01:00:21,000 Speaker 1: I mean, it's it's hard, it's tough. So everything I've 1051 01:00:21,000 --> 01:00:23,720 Speaker 1: said is true, it's just trying to be measured about it. 1052 01:00:23,760 --> 01:00:26,760 Speaker 1: We'll know that it's really a problem when it starts 1053 01:00:26,840 --> 01:00:31,480 Speaker 1: affecting things that are unrelated, different industries, you know. It's 1054 01:00:31,520 --> 01:00:35,440 Speaker 1: it's not just that these resources are drying up, it's 1055 01:00:35,480 --> 01:00:37,520 Speaker 1: like that these other things are as well. Um, then 1056 01:00:37,560 --> 01:00:40,560 Speaker 1: we're not there yet, and it would take this being 1057 01:00:40,640 --> 01:00:42,439 Speaker 1: drawn out for a long time for us to get there. 1058 01:00:43,040 --> 01:00:44,919 Speaker 1: There's a lot of stuff you've guys have probably heard 1059 01:00:44,960 --> 01:00:49,240 Speaker 1: floated around about how the virus we'll probably go away 1060 01:00:49,640 --> 01:00:51,280 Speaker 1: in the warmer months, and we don't. We don't know 1061 01:00:51,320 --> 01:00:53,520 Speaker 1: that that's definitively true. But you can look at other 1062 01:00:53,640 --> 01:00:55,480 Speaker 1: viruses like this and the fool when you see that 1063 01:00:55,480 --> 01:00:58,040 Speaker 1: that's true. And why that is is because in part 1064 01:00:58,080 --> 01:01:00,120 Speaker 1: of why that is, there's a couple of reasons. The 1065 01:01:00,640 --> 01:01:03,240 Speaker 1: kind of like physics reason that is is that when 1066 01:01:03,280 --> 01:01:05,360 Speaker 1: you like sneeze and other things that kind of expel 1067 01:01:05,440 --> 01:01:07,360 Speaker 1: germs from your body in warmer weather because of the 1068 01:01:07,400 --> 01:01:09,920 Speaker 1: increased like humidity I think in the air, um, it 1069 01:01:10,000 --> 01:01:13,200 Speaker 1: doesn't go as far um. And then there's obviously people's 1070 01:01:13,200 --> 01:01:15,640 Speaker 1: behavior is different. People's been less time like cramped inside 1071 01:01:15,680 --> 01:01:18,880 Speaker 1: with other people in warm weather um, and they're sweatiers 1072 01:01:18,880 --> 01:01:20,600 Speaker 1: that they have to shower more often, all of that. 1073 01:01:21,160 --> 01:01:24,960 Speaker 1: But the other reality is if even if that happens, 1074 01:01:25,000 --> 01:01:29,320 Speaker 1: it will return as soon as the weather gets colder. Um. 1075 01:01:29,360 --> 01:01:31,800 Speaker 1: And if you look at it, thank god, nothing's happening 1076 01:01:31,800 --> 01:01:36,040 Speaker 1: in November. Good, thank god. I mean, I hate this narrative. 1077 01:01:36,080 --> 01:01:38,919 Speaker 1: There's this narrative that the Democrats want this to happen, 1078 01:01:38,920 --> 01:01:41,200 Speaker 1: where it's planted to make Trump look bad. No, man, 1079 01:01:41,360 --> 01:01:43,880 Speaker 1: he's doing that by himself. But the reality is is 1080 01:01:43,920 --> 01:01:46,840 Speaker 1: that it's going to go. The potential reality I'm not 1081 01:01:46,880 --> 01:01:49,520 Speaker 1: a I'm not a psychic, is that it will ebb 1082 01:01:49,560 --> 01:01:54,640 Speaker 1: in the summer and Trump will claim victory that did it, 1083 01:01:55,000 --> 01:01:57,480 Speaker 1: and then it'll come back stronger than ever in the 1084 01:01:57,520 --> 01:02:00,360 Speaker 1: fall right before the election. AT's what I really think 1085 01:02:00,360 --> 01:02:01,560 Speaker 1: about this. We don't have to put you on the 1086 01:02:01,560 --> 01:02:03,160 Speaker 1: line for this, but I do think in terms of, like, 1087 01:02:03,200 --> 01:02:05,040 Speaker 1: what is the impact that this has. I'm not hoping 1088 01:02:05,320 --> 01:02:07,800 Speaker 1: that the coronavirus will be bad because it will make 1089 01:02:08,440 --> 01:02:11,880 Speaker 1: Donald Trump, um uh look bad and will reduce his 1090 01:02:11,960 --> 01:02:16,560 Speaker 1: chances for reelection. What I am hoping authoritarianism, which we 1091 01:02:16,640 --> 01:02:19,880 Speaker 1: have been dabbling in as a country for the last 1092 01:02:19,960 --> 01:02:21,880 Speaker 1: three years, in change in a way that we have 1093 01:02:22,000 --> 01:02:25,480 Speaker 1: not previously in my lifetime. Um. We you know, we 1094 01:02:25,480 --> 01:02:28,720 Speaker 1: we dipped our toes in the water with with w 1095 01:02:28,920 --> 01:02:31,800 Speaker 1: Bush um. But we are really we are waiting into 1096 01:02:31,800 --> 01:02:36,520 Speaker 1: the deep end now. And authoritarianism can seem like it's 1097 01:02:36,520 --> 01:02:39,000 Speaker 1: working okay for the people who aren't being targeted by 1098 01:02:39,000 --> 01:02:43,000 Speaker 1: the government when things are generally good. When it starts 1099 01:02:43,040 --> 01:02:46,240 Speaker 1: to collapse for everybody is when real problems happen. Because 1100 01:02:46,240 --> 01:02:49,080 Speaker 1: authoritarianism leads to everything we talked about my pro toty ing. 1101 01:02:49,400 --> 01:02:52,400 Speaker 1: It leads to incompetence, it leads to like fear of 1102 01:02:52,440 --> 01:02:54,840 Speaker 1: bringing bad news to the boss, all of these things, 1103 01:02:55,320 --> 01:02:59,040 Speaker 1: and Trump has had been present. What is like all 1104 01:02:59,080 --> 01:03:01,520 Speaker 1: of his problems here to this, our problems he created, 1105 01:03:01,560 --> 01:03:03,600 Speaker 1: like the ship happening in Syria right now, that's because 1106 01:03:03,640 --> 01:03:06,040 Speaker 1: Trump made a change to the situation that made it worse. 1107 01:03:06,280 --> 01:03:08,440 Speaker 1: All of the problems like that his impeachment, that's like 1108 01:03:08,960 --> 01:03:12,120 Speaker 1: him doing stupid shit. Other than that, outside of problems 1109 01:03:12,160 --> 01:03:14,560 Speaker 1: that he initiated and made worse, this has been a 1110 01:03:14,600 --> 01:03:18,680 Speaker 1: reasonably calm time to be president. Um. Historically, this is 1111 01:03:18,720 --> 01:03:21,520 Speaker 1: the first thing that's really happened during his administration that 1112 01:03:21,600 --> 01:03:23,760 Speaker 1: like wasn't his fault. It would have been a problem 1113 01:03:23,760 --> 01:03:25,440 Speaker 1: in no matter who was president. This would have been 1114 01:03:25,440 --> 01:03:27,480 Speaker 1: some ship to deal with. Hillary Clinton had been president, 1115 01:03:27,520 --> 01:03:31,800 Speaker 1: Bernie Sanders, this would have been a problem. Um. What 1116 01:03:31,920 --> 01:03:34,760 Speaker 1: I do hope America gets rather than callously like I 1117 01:03:34,800 --> 01:03:37,800 Speaker 1: hope the coronavirus, you know, makes it hurts his numbers. 1118 01:03:38,160 --> 01:03:39,760 Speaker 1: I hope that this is a wake up call to 1119 01:03:39,880 --> 01:03:42,880 Speaker 1: chunks of America who haven't been paying attention, who have 1120 01:03:42,920 --> 01:03:44,800 Speaker 1: just focused on the stock market, and who realized, like, 1121 01:03:44,800 --> 01:03:48,560 Speaker 1: oh my god, letting somebody like this make these calls 1122 01:03:49,440 --> 01:03:53,640 Speaker 1: is the is morally identical to drunk driving. It is 1123 01:03:53,680 --> 01:03:56,960 Speaker 1: doing something with a huge chance of harming other people 1124 01:03:57,280 --> 01:04:00,760 Speaker 1: and hopes like usually it's okay. Usually it's usually just like, 1125 01:04:00,840 --> 01:04:04,000 Speaker 1: letting this asshole rant is fine because the economy is 1126 01:04:04,000 --> 01:04:06,840 Speaker 1: still good. I'm not feeling the consequences of his actions 1127 01:04:06,880 --> 01:04:11,960 Speaker 1: when he comes home drunken. Whatever. Um, it's not fine 1128 01:04:12,080 --> 01:04:14,280 Speaker 1: for the average American right now. This is scaring the 1129 01:04:14,280 --> 01:04:16,440 Speaker 1: ship out of people who are able to ignore what's 1130 01:04:16,440 --> 01:04:18,560 Speaker 1: happening in Siri, who were able to ignore what's happening 1131 01:04:18,600 --> 01:04:21,120 Speaker 1: on the border. And maybe that I think that wake 1132 01:04:21,240 --> 01:04:23,000 Speaker 1: up call is a good thing, and maybe they'll make 1133 01:04:23,040 --> 01:04:25,920 Speaker 1: the same call they made in and if so, at 1134 01:04:26,000 --> 01:04:29,000 Speaker 1: least we can all rest knowing like, well, they fucking 1135 01:04:29,000 --> 01:04:31,560 Speaker 1: made the call. They weren't. There was no hiding it anymore. 1136 01:04:32,200 --> 01:04:35,160 Speaker 1: And I guess if we're looking at silver lining, I'm 1137 01:04:35,160 --> 01:04:40,840 Speaker 1: glad that this isn't a more deadly virus and making 1138 01:04:40,840 --> 01:04:43,200 Speaker 1: its way. I mean, it's it is deadly, and it's 1139 01:04:43,240 --> 01:04:46,920 Speaker 1: threatening our vulnerable populations, and it's horrific, and I'm glad 1140 01:04:47,160 --> 01:04:52,360 Speaker 1: it's kind of cool that it doesn't hit kids, though, yeah, yeah, yeah. Um. 1141 01:04:52,400 --> 01:04:56,760 Speaker 1: The other it's hard to say that, oh, there's um 1142 01:04:57,000 --> 01:05:01,520 Speaker 1: benefit to an economic recession, because there we could have 1143 01:05:01,520 --> 01:05:05,320 Speaker 1: called it the reverse Epstein. Uh. But you know, you 1144 01:05:05,600 --> 01:05:09,120 Speaker 1: see some things being pointed out, like in China, since 1145 01:05:09,160 --> 01:05:12,400 Speaker 1: there's so much people aren't going out, they're not driving 1146 01:05:12,440 --> 01:05:16,960 Speaker 1: their cars, there's less production, their pollution is going down 1147 01:05:17,440 --> 01:05:22,120 Speaker 1: this like, and so there's like they're in the long term, 1148 01:05:22,160 --> 01:05:24,840 Speaker 1: maybe some lives will be saved because people aren't getting 1149 01:05:24,880 --> 01:05:29,920 Speaker 1: poisoned by their climate. Um. You know, cruise ships aren't 1150 01:05:30,600 --> 01:05:33,240 Speaker 1: doing great well. Cruise ships suck for the environment and 1151 01:05:33,280 --> 01:05:36,240 Speaker 1: they're bad for people to people. But you know, it's 1152 01:05:36,280 --> 01:05:38,920 Speaker 1: like it's hard because you're also like, well, there's job losses. 1153 01:05:38,920 --> 01:05:42,160 Speaker 1: What about all these people employed? That sucks their employers 1154 01:05:42,200 --> 01:05:46,240 Speaker 1: sucked to um, But there are other jobs they can get, yes, 1155 01:05:46,360 --> 01:05:49,240 Speaker 1: and and maybe yeah, it's an industry that shouldn't exist. 1156 01:05:49,880 --> 01:05:52,680 Speaker 1: I missed a great opportunity earlier to make an epstein 1157 01:05:52,760 --> 01:05:58,920 Speaker 1: bar virus jokes always the plugged in I tried. It 1158 01:05:59,000 --> 01:06:01,640 Speaker 1: would have been good. It was good. It was still good. 1159 01:06:02,200 --> 01:06:04,160 Speaker 1: You thank you. And that's what I have to say 1160 01:06:04,200 --> 01:06:08,560 Speaker 1: about the economy stuff. This is again my I didn't 1161 01:06:08,600 --> 01:06:13,480 Speaker 1: take economics. I don't know. I think we've outlined what 1162 01:06:13,520 --> 01:06:16,560 Speaker 1: it's doing, what the harms are, why it's worse, because 1163 01:06:16,600 --> 01:06:18,720 Speaker 1: the idiots in charge and what it's going to have impact, 1164 01:06:18,800 --> 01:06:21,160 Speaker 1: it's going to have on the election. And if anyone 1165 01:06:21,160 --> 01:06:23,440 Speaker 1: else wants more from us, they should have listened to 1166 01:06:23,480 --> 01:06:27,960 Speaker 1: the Doctor podcast with doctors. I can recommend you listen 1167 01:06:27,960 --> 01:06:30,320 Speaker 1: to a doctor podcast with doctors. Yes, that is a 1168 01:06:30,320 --> 01:06:32,520 Speaker 1: good idea. They're not going to have as many The 1169 01:06:32,560 --> 01:06:35,280 Speaker 1: House of Pod has an episode range of sides and jokes. No, 1170 01:06:36,440 --> 01:06:38,040 Speaker 1: and they wouldn't have when they probably would have made 1171 01:06:38,040 --> 01:06:41,720 Speaker 1: an Epstein barbarus joke. That beats mine. I'm sorry because 1172 01:06:41,720 --> 01:06:44,840 Speaker 1: it doesn't affect little kids. We all got it right, Okay, Okay, 1173 01:06:46,000 --> 01:06:49,240 Speaker 1: there we go. All right, guys, thanks for listening to 1174 01:06:50,760 --> 01:06:54,000 Speaker 1: this episode of the Worst Year Ever. It's gonna keep 1175 01:06:54,680 --> 01:06:59,240 Speaker 1: getting worse, but then it'll get better. We should do 1176 01:06:59,240 --> 01:07:03,120 Speaker 1: a preming it back in the fall, a pregnant episode, 1177 01:07:03,120 --> 01:07:07,000 Speaker 1: A prepping episode. Yeah that makes more sense than pregnant. Yeah, 1178 01:07:07,080 --> 01:07:10,160 Speaker 1: that wouldn't wouldn't be as big a hit. You guys 1179 01:07:10,160 --> 01:07:14,200 Speaker 1: can find us online. Can at Worst Year Pod, Instagram 1180 01:07:14,200 --> 01:07:17,040 Speaker 1: and Twitter. You've got a t public store. You can 1181 01:07:17,240 --> 01:07:20,800 Speaker 1: buy things, buy things, fuel the economy. If you want 1182 01:07:21,440 --> 01:07:25,880 Speaker 1: um our shirts protect you from the coronavirus is legally 1183 01:07:25,920 --> 01:07:29,560 Speaker 1: binding washing, wash your hands, dry him on our shirts. 1184 01:07:29,800 --> 01:07:35,520 Speaker 1: There you go. Um some things next week. Unless we've 1185 01:07:35,640 --> 01:07:38,280 Speaker 1: gotten the corono, well we still can do. It wouldn't 1186 01:07:38,280 --> 01:07:52,480 Speaker 1: be recording from our home. Everything Everything, Worst Year Ever 1187 01:07:52,560 --> 01:07:55,160 Speaker 1: is a production of I heart Radio. For more podcasts 1188 01:07:55,160 --> 01:07:57,440 Speaker 1: from my heart Radio, visit the i heart Radio app, 1189 01:07:57,520 --> 01:08:00,680 Speaker 1: Apple Podcasts, or wherever you listen to your favorite shows.