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Speaker 1: Welcome to stuff you should know, a production of five

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Speaker 1: Heart Radios. How stuff works. Hey, and welcome to the

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Speaker 1: Global Nightmare. I'm Josh, there's Chuck, there's Jerry over there,

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Speaker 1: and we are stuff you should know. It was, uh,

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Speaker 1: that's an Alice Cooper song. Right, that's welcome to my Nightmare.

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Speaker 1: Oh I think it. It is my nightmare, isn't it? Yeah?

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Speaker 1: But he should have thought bigger. Yeah, you really should have.

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Speaker 1: It was kind of excited. Yeah, well, put we saw

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Speaker 1: him in concert once, remember that's right, big shout out

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Speaker 1: to Anita Strouss. Yes, guitarist, extraordinary for Alice Cooper among others.

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Speaker 1: It's enthusiast what enthusiast science? Oh yeah, yeah, yeah for sure.

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Speaker 1: So we should uh. I think everyone knows right now

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Speaker 1: that we are now set up to record apart from

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Speaker 1: one another. Chuck. Um, So my first question before we

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Speaker 1: have to get serious is what are you wearing? I

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Speaker 1: knew it. Can I tell you seriously what I'm wearing? Yeah,

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Speaker 1: I'm going to tell you. Okay, Um, I am wearing

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Speaker 1: an apron and that's it. Wow? Yeah what about you?

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Speaker 1: So your cosplaying is sexy chef? Yeah? Yeah, that's what

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Speaker 1: I like to think of myself as it's not really cosplay,

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Speaker 1: that's kind of normal life stuff. Yeah, I am wearing

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Speaker 1: um and this is not a plug, but it is

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Speaker 1: what I'm wearing. I'm wearing me and these I'm wearing.

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Speaker 1: I'm wearing my mac Weldon. Uh. I don't know what

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Speaker 1: they call him. You know, kind of the warm up

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Speaker 1: pants that you can go to the grocery store in sure,

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Speaker 1: but do not go to the grocery store, Chuck, not not.

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Speaker 1: And I'm wearing a Max fun Con two thousand and

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Speaker 1: twelve T shirt and my slippers. So basically this is

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Speaker 1: your UM I got all this free outfit, boy, it

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Speaker 1: really is. I paid for the slippers, Okay, but I

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Speaker 1: mean if you name dropped the slippers, maybe you can

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Speaker 1: get a replacement for him. I don't want to do that,

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Speaker 1: even though they're super comfy. Maybe we can get a

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Speaker 1: slipper sponsorship. Did you did you ever stop wearing slippers

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Speaker 1: out of the house? Uh? Well, what do you mean? So?

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Speaker 1: I think it was our five second Rule episode where

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Speaker 1: we talked about the point of slippers is to just

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Speaker 1: have these things that are house bound and never leave

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Speaker 1: your house, and then you you just wear them in

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Speaker 1: your house and then instead of outside, so the outdoors

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Speaker 1: germs never come inside on the bottom of your feet. Boy,

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Speaker 1: that's you're calling out like a nine year old episode.

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Speaker 1: Uh you know, I may go get the mail or something. Okay,

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Speaker 1: all right, well before you were going and like getting

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Speaker 1: ice cream at the convenience store in those things if yeah, yeah,

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Speaker 1: and I feel like the fact that you're not doing

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Speaker 1: any more, you may have forgotten, but that's my influence, chuck.

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Speaker 1: Or I may have just gotten gained some self respect,

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Speaker 1: right there you go. I like to think both of

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Speaker 1: those from my influence. Okay, uh yeah. So at the

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Speaker 1: head of the show, I think we should announce we're

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Speaker 1: doing an episode on COVID nineteen. It is Tuesday. I

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Speaker 1: don't even know what date it is. And this will

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Speaker 1: come out on the right, that's what Jerry's promising right now.

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Speaker 1: That remains to be seen though, so it'll be sort

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Speaker 1: of up to date. But two days a lot can change, um,

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Speaker 1: as we all know. Uh. And the other thing too,

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Speaker 1: is it I think we are going to stay out

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Speaker 1: of sort of the politics and the economics of the

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Speaker 1: of this, because that's an almost separate podcast in itself

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Speaker 1: that I have no interest in ever doing I Well,

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Speaker 1: I'm surprised to hear you say that last part. I

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Speaker 1: was figuring that that would be one we do, like

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Speaker 1: years from now, like go back and look at the

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Speaker 1: coronavirus pandemic of because I think so many weird, remarkable,

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Speaker 1: in interesting things are going to grow out of this

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Speaker 1: and are already going on. I could totally see us

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Speaker 1: doing that. But I get what I can vibe on

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Speaker 1: what you're saying, because after recording this, like I'm hoping

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Speaker 1: that we can finish this episode and never talk about

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Speaker 1: coronavirus again. Like, I get what you're saying. That would

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Speaker 1: be great. Yeah, I'm tired of knowing about it, you know. Yeah,

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Speaker 1: And we you know, we debated quite honestly whether or

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Speaker 1: not to even do this, but it seems like we

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Speaker 1: had more people asking for just a level headed take

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Speaker 1: on it from us than people saying, I would really

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Speaker 1: rather be distracted, so we'll distract you after today. Yeah.

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Speaker 1: And we're also, I mean, we're not riding that wave

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Speaker 1: where we're like trying to feed your news addiction that

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Speaker 1: like you can't get enough breaking information about this global pandemic.

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Speaker 1: Like like you said, we're just trying to add just

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Speaker 1: trying to do a stuff you should know on coronavirus,

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Speaker 1: on COVID nineteen specifically, and we we got we got

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Speaker 1: some big help, a big assist from Dave Rouge, who

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Speaker 1: initially pushed back. We had to convince him to do it. Remember,

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Speaker 1: he's like, you sure if people want to hear this? Yeah,

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Speaker 1: We're like, yeah, we're pretty sure. We'll find out though.

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Speaker 1: So thanks a lot, Dave Rouse, you did good. And also, um,

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Speaker 1: a big shout out to the grabster to who's been

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Speaker 1: under the weather so hanging their grab stir. Yeah, so

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Speaker 1: let's let's get going. I learned a lot in the

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Speaker 1: last couple of days. Uh. And the first kind of

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Speaker 1: dumb thing that I learned was that COVID nineteen stands

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Speaker 1: for coronavirus disease two thousand nineteen, which I didn't even

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Speaker 1: know that until two days ago. Is that right? Yeah?

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Speaker 1: I mean it's not talked about a lot, and I

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Speaker 1: didn't bother to look it up. So yeah, and I

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Speaker 1: guess it's not intuitive looking at it if you think

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Speaker 1: about it, But um, there's other names for it to

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Speaker 1: the who so so what you just said coronavirus disease

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Speaker 1: two thousand nineteen COVID nineteen. That's the name of the disease, right,

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Speaker 1: there's another name for the disease that the who calls

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Speaker 1: two thousand nineteen and cove okay, and then the virus

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Speaker 1: itself if you want to really show off at your

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Speaker 1: next online dinner party. Um, the virus itself is is

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Speaker 1: technically named stars Cove two. Yeah, dash big seed, little

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Speaker 1: old big vas too. That's right. And as we'll see,

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Speaker 1: the reason that it is called stars Cove two is

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Speaker 1: because it bears a striking genetic resemblance to stars Cove one.

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Speaker 1: I guess you could call it or the stars the

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Speaker 1: stars virus that um that swept the swept the world

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Speaker 1: not too long ago too, Yeah, And I can't help

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Speaker 1: every time I hear of stars I still the first

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Speaker 1: thing I think of is the Saturday Night Live sketch

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Speaker 1: with Peter stars Guard when he developed the Stars Guard

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Speaker 1: stars Guard. Yeah, when did we talk about that before?

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Speaker 1: Was it the virus is one or the Spanish flu episode? Maybe?

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Speaker 1: I don't think we did one on stars did No,

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Speaker 1: not as far as I remember, huh, Because because I

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Speaker 1: don't know much about coronaviruses, or I didn't until we

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Speaker 1: really started researching this. But um, that is what covid is.

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Speaker 1: It's a coronavirus, and coronaviruses have been around for a while. Um.

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Speaker 1: They're a family of viruses that typically cause upper respiratory

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Speaker 1: infections in humans and chickens and pigs and cows. Coronavirus

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Speaker 1: is usually cause um diarrhea or intestinal infections. Um, but

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Speaker 1: in humans it's usually the upper respiratory tract. Although we

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Speaker 1: have seen now that coronavirus can cause pig or cow

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Speaker 1: like infections in humans too, we've seen that recently. But

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Speaker 1: but for the most part, you've probably been exposed to

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Speaker 1: a coronavirus. You've probably been made sick by one. And

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Speaker 1: normally coronavirus is just give us something that we would

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Speaker 1: take as a cold or a common flu. Yeah. And

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Speaker 1: the corona means crown in both Spanish and Latin. And

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Speaker 1: these images that you've seen, the illustrations of what it

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Speaker 1: looks like under a microscope, Um, those little spikes protruding

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Speaker 1: from the surface, those are kind of what I guess

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Speaker 1: how it got its name as corona. Yeah, Dave puts

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Speaker 1: it here like it reminds him of Pinhead from the

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Speaker 1: Hell Raiser movies, who, by the way, has a really

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Speaker 1: good backstory. I was reading about him just happen by

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Speaker 1: happenstance the other day. Yeah, he's a really interesting guy.

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Speaker 1: The whole reason he got into, you know, being a

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Speaker 1: center byte in Hell was, um, he was disillusioned by

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Speaker 1: the chaos of World War One and lost like all

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Speaker 1: all faith in any meaning to life, so he started

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Speaker 1: to he just ditched this world for hell instead. Oh wow,

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Speaker 1: I didn't know there was a backstory. Oh yeah, there's

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Speaker 1: a bunch of It's kind of been built up over

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Speaker 1: the course of some of Clive Barker's novels. The movies

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Speaker 1: have contributed to it, some other people have kind of

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Speaker 1: contributed to it. And there's like this robust kind of

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Speaker 1: mythos around that guy. It's it's really interesting stuff. See,

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Speaker 1: I'm appreciated eating our sides more than ever today. Yeah,

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Speaker 1: I mean to it's kind of like, do we have

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Speaker 1: to talk about this? Yeah, let's talk more about movies.

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Speaker 1: Have you seen the new Candy Man that's coming? Are

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Speaker 1: they remaking Candy Man? Yeah, Jordan Peel's producing it, and

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Speaker 1: I saw trailer looks pretty good. Did you like UM US.

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Speaker 1: I did. I was, and I was not moved entirely

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Speaker 1: by it. I really like get Out a lot more

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Speaker 1: than US. But I'm a fan of Jordan Peel to

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Speaker 1: think he's got a great mind and everything. But I

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Speaker 1: don't know if I was expecting more from US or

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Speaker 1: I was expecting something different. I'm not sure. Well, I

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Speaker 1: like to get Out more. For sure. US got a

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Speaker 1: little wacky, but then I think I appreciate it more.

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Speaker 1: It's like a sort of a Twilight Zone kind of wacky. Yeah.

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Speaker 1: I guess if I had gone into it expecting that,

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Speaker 1: I think I would have liked it more. Yeah, I

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Speaker 1: dug it great acting too, Oh yeah, for sure, across

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Speaker 1: the board. All right, do we have to talk about

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Speaker 1: this now? Yeah? Back to it, all right. See's said

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Speaker 1: that chances are that at some point you might have

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Speaker 1: had a coronavirus UM. You might have just thought it

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Speaker 1: was a cold UM novel coronavirus viruses. You've probably heard

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Speaker 1: that in the news lately. This is different because this

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Speaker 1: is an animal coronavirus that evolves and then infects a

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Speaker 1: human and thus rendering it novel or new to us. Yeah,

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Speaker 1: like those other coronavirus is the ones that give us

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Speaker 1: colds or whatever. Who knows how long they've been around,

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Speaker 1: and it's possible they followed the exact same process that

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Speaker 1: these novel coronaviruses have followed. But this novel coronavirus that

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Speaker 1: causes COVID nineteen, like you said, it's new to us,

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Speaker 1: and we think that it literally just made the jump

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Speaker 1: from animal to human, possibly in a live animal food

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Speaker 1: market in Wuhan, China. Um and as recently as late

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Speaker 1: December two thousand nineteen. Yeah, so there's kind of a

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Speaker 1: lot to this. I think they pretty much are pouse

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Speaker 1: it of that that's what happened. Um. They think that

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Speaker 1: they have a patient zero, fifty five year old man

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Speaker 1: from the Hubai province, but they're not positive about that. Uh.

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Speaker 1: And now there's some debate about the timeline. UM. Officially

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Speaker 1: it was December thirty one, but now they're saying it

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Speaker 1: may have been first detected in mid November. UM, the

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Speaker 1: patient zero is not confirmed. Uh. They they've also think

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Speaker 1: they have zero down the fact that it just like

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Speaker 1: in the movie Contagion, it started with a bat and

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Speaker 1: then this animal, this very strange animal that had never

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Speaker 1: heard of before, called a pangolin has served as the

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Speaker 1: intermediate host because they did genome sequencing of the virus

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Speaker 1: and it has identical genome sequence to that of uh

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Speaker 1: when it's in a human. Yeah, that's it's really interesting

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Speaker 1: to think that if you look at a lot of

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Speaker 1: the research Chuck, that we're hearing about and we're learning

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Speaker 1: and just generally stuff that people walking around know about coronavirus,

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Speaker 1: it has come from China doing an astounding amount of

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Speaker 1: research and um work on examining and trying to figure

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Speaker 1: out and trying to defeat this coronavirus. So, um, I

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Speaker 1: mean they've they've they've definitely done a lot of work,

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Speaker 1: you could say, for to to to kind of explain

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Speaker 1: to the world what's going on. Even though I believe

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Speaker 1: they're they're pretty roundly criticized for potentially not warning the

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Speaker 1: world and enough time. Um, but I guess that's getting

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Speaker 1: to that political stuff. Yeah, and just to be clear

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Speaker 1: of finding a patient zero isn't so they can, you know,

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Speaker 1: say you did it, you did it, you have to

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Speaker 1: pay for this. Yeah, it's it's helpful in trying to

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Speaker 1: figure this whole thing out. That's why timelines are important.

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Speaker 1: Tracing it back to his roots is important. Uh. Since

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Speaker 1: that time, China has closed down about twenty wildlife arms

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Speaker 1: to try and curb in part to try and curb

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Speaker 1: the pangul and trade, which is a delicacy to eat

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Speaker 1: in China. Um, but I just read today apparently in

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Speaker 1: Nigeria they account for about fifty of the pangol in

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Speaker 1: trade and the penalty they already had in place is

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Speaker 1: still the current penalty, which is two dollars and seventy

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Speaker 1: cents for a first time offenders. So there's a lot

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Speaker 1: of pressure on Nigeria right now to shut down their

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Speaker 1: trade as well. And yeah, pangulin is a it's it's

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Speaker 1: a mammal, right, but it is covered in like these

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Speaker 1: kind of dragon like scales, and it looks like a

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Speaker 1: small ant eater. It looks like a dragon head sex

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Speaker 1: with an ant eater. Yeah, and it's tough to look at,

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Speaker 1: Like it hurts my teeth looking at pangolins for some reason.

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Speaker 1: I can't quite put my finger on why. But it's

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Speaker 1: almost like they just shouldn't be or something. Well, Uh,

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Speaker 1: I'm not gonna say what I was gonna say, So

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Speaker 1: let's talk about the spread of covid. Okay, so UM

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Speaker 1: there the way that it's spread initially or the way

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Speaker 1: that just about well, any zooonotic virus. I'm not sure

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Speaker 1: if all viruses start like this, but they usually typically

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Speaker 1: start in an animal and it spreads through close contact

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Speaker 1: between an animal, a sick animal, and human who then

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Speaker 1: contracts that it's a zoonotic transmission right from animal to human.

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Speaker 1: It is I'm surprised we haven't hit on it before. UM.

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Speaker 1: And then so that's an animal to person transmission. From

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Speaker 1: that point on, that person is infected, they get sick,

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Speaker 1: and then they transfer it to somebody who UM, who

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Speaker 1: comes in close contact with them, which we'll talk more about,

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Speaker 1: but these days, close contact for coronavirus and COVID nineteen

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Speaker 1: is considered within six ft for an extended period of

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Speaker 1: time or present with somebody sneezes or coughs in in

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Speaker 1: you know, a small area, and then that person can

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Speaker 1: get sick. That's person a person transmission. And then the

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Speaker 1: last one, and this is the one that's the hardest

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Speaker 1: to deal with and the one that we're seeing right

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Speaker 1: now the stage that we've entered UM around the world

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Speaker 1: is what's called community spread. Yeah, that one's the scary one,

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Speaker 1: because that's the final stage where people get sick who,

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Speaker 1: as far as they know, didn't have any contact with

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Speaker 1: another sick person. Um. And this is when you know,

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Speaker 1: those very first stages of the outbreak, it was all

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Speaker 1: person to person after obviously the animal transmission. Uh. And

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Speaker 1: then when it developed into community spread, that's when people

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Speaker 1: started to get UM a little freaked out. I think, yeah,

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Speaker 1: because I mean they can't say, oh, I was around

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Speaker 1: you know Timmy, who's sick with this right now, so

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Speaker 1: I got it from him. It's like, I have no

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Speaker 1: idea where I got this, And that makes the whole

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Speaker 1: thing scary. It makes people freaked out. It makes it

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Speaker 1: much more difficult to UM to contain when people don't

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Speaker 1: know where they're getting it from, and it it makes

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Speaker 1: you need to take much more draconian measures to to

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Speaker 1: prevent the spread of this stuff. It's where it starts

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Speaker 1: to get out of cont role is when it hits

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Speaker 1: community spread. Yeah. UM. And you know when you see

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Speaker 1: like these graphic maps of of how it's spread, it's

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Speaker 1: really frightening, is the only word that can be used

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Speaker 1: to describe how quickly this thing has taken hold. UM.

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Speaker 1: And you know this is stuff that everyone knows unless

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Speaker 1: you've just been under a rock or like my friend Clay.

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Speaker 1: About a week before this happened, he went to Nepal

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Speaker 1: for a two month piking trip. Yeah. I was like, well,

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Speaker 1: that's your new home, buddy, I hope you like it.

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Speaker 1: Is he there still? Yeah, he's still there. Oh my gosh. Okay,

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Speaker 1: that's good. He's not sick or anything. He's just hanging out. Yeah.

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Speaker 1: I don't think he's seen a lot of people. I

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Speaker 1: think he's deep, you know, into the woods and stuff. Well, man,

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Speaker 1: that's about as good a place as you could possibly

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Speaker 1: be right now. Yeah, And he was planning on being

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Speaker 1: there for two months anyway. Uh, yes, he had a

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Speaker 1: plan a trip. It may not have been two months,

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Speaker 1: but I'm not sure. I mean, I am concerned about it, obviously,

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Speaker 1: But he says everything's cool. Yeah. It sounds like your

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Speaker 1: friend Clay maybe one of the luckiest people in the world. Maybe. Wow, Well,

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Speaker 1: keep it, keep at it, Clay. You're doing social distancing right.

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Speaker 1: Just go to Nepal and stay in the woods. Should

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Speaker 1: we should we take a little break here? Yes? We should.

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Speaker 1: All right, let's break and we'll talk about some of

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Speaker 1: the symptoms right after this stuff. You should know. Gosh,

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Speaker 1: sh stuff you should know. Okay, chuck. So we're talking

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Speaker 1: about symptoms here, um there. It turns out so the

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Speaker 1: there's like a classic set of symptoms that they now

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Speaker 1: recognize as if you have these, there's a really good

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Speaker 1: it's right now that you you have COVID nineteen. Um.

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Speaker 1: The the cluster of symptoms are a fever. It's usually

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Speaker 1: a high fever m hm. A dry cough is a

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Speaker 1: really dead giveaway. And a dry cough is you know

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Speaker 1: where where you it's almost like the back of your

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Speaker 1: throat is tickling and you can get no relief from it,

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Speaker 1: and you're not like coughing up flim that can help

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Speaker 1: get rid of that cough or that sensation of needing

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Speaker 1: to cough. It's like a dry cough. Yeah, which is

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Speaker 1: really troubling right now because it's pollen season here in

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Speaker 1: the United States and dry cough for a lot of

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Speaker 1: people is a is a regular thing every spring, So

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Speaker 1: it's especially worrisome I think for a lot of folks

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Speaker 1: with allergies, Yeah, for sure. Um and and I keep

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Speaker 1: getting like I don't normally get allergies, but it's pretty

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Speaker 1: bad this year. And I'm like, I've got not a

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Speaker 1: dry cough, but you know, a little tickle here there,

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Speaker 1: my nose is maybe a little running here there. So

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Speaker 1: I'm like always really paying extra attention to that stuff.

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Speaker 1: It's it's exhausting basically. Yeah. And then the third one

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Speaker 1: is UM. So you've got fever, dry cough, and then

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Speaker 1: difficulty breathing, shortness of breath, that kind of thing. And

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Speaker 1: from studies they they've found according to the Journal of UM.

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Speaker 1: Uh what is JAMMA stand for? I used to know, oh,

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Speaker 1: the Journal of the American Medical Association, duh, so jama

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Speaker 1: UM found that on average, people start to display that

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Speaker 1: symptom of shortness of breath within five days of the

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Speaker 1: onset of the rest of their symptoms. So if you

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Speaker 1: have a fever, if you have a dry cough, and

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Speaker 1: after a few days you start to develop a shortness

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Speaker 1: of breath or difficulty breathing, you're a really good candidate

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Speaker 1: to get tested for COVID and maybe need to go

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Speaker 1: to the hospital. Yeah. And I've seen um, I've seen

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Speaker 1: the chess thing described from people who have coronavirus or

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Speaker 1: COVID nineteen is everything from you know, fifty pound weight

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Speaker 1: on your chest too, to a belt strapped around their

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Speaker 1: chest that keeps getting tighter and tighter that you can't.

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Speaker 1: That sounds awful, Yeah, it sounds very specific. Um. If

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Speaker 1: you feel actual severe pain and pressure in your chest. UM,

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Speaker 1: if you have bluish lips or a bluish face, if

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Speaker 1: all of a sudden you're confused and you normally aren't

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Speaker 1: confused mentally, then those are signs that they say you

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Speaker 1: really need to get to the hospital right away. Yeah,

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Speaker 1: for sure. I mean that's anytime your skin or lips

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Speaker 1: are blue, that's that's a bad sign. But that's one

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Speaker 1: of the big um signs of COVID is is that

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Speaker 1: difficulty breathing leads to a lack of oxygen, which is

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Speaker 1: why everybody keeps talking about this need for ventilators. Um.

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Speaker 1: Part of this process of a really bad case of

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Speaker 1: COVID we're talking about a bad case here, UM, is

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Speaker 1: that you may need a ventilator to help you breathe

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Speaker 1: because you're not getting enough oxygen into your lungs breathing

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Speaker 1: on your own. So that's why ventilators have been kind

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Speaker 1: of like sole pretty stars, um, really sought after in

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Speaker 1: this in this pandemic, right now, yeah, and why the

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Speaker 1: shortage of ventilators is super scary because you've got in

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Speaker 1: that situation and we'll talk more about, um, the biggest fear,

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Speaker 1: which is overwhelming the medical system. But uh, then you

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Speaker 1: have potentially mild cases that develop into more serious and

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Speaker 1: even fatal cases, right, Yes, and that typically seems to

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Speaker 1: be in seen most in people who are older. I

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Speaker 1: think uh sixty five and over is at uh graduated

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Speaker 1: increased risk from that age forward. People who have compromised

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Speaker 1: immune systems already. I think people with diabetes are are

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Speaker 1: at risk. UM. But for the most part, something like

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Speaker 1: eight percent of cases of COVID are relatively mild and

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Speaker 1: are going to appear to you to be just like

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Speaker 1: a seasonal cold, running knows, cough um, sore throat um,

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Speaker 1: just just something that you would wouldn't even need to

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Speaker 1: like do anything more than take some medicine at home.

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Speaker 1: For the vast majority of cases of people who are

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Speaker 1: who have are going to get COVID nineteen are going

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Speaker 1: to experience a mild case. It's actually it's I guess

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Speaker 1: what I'm trying to say is don't be freaked out.

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Speaker 1: It's very rare to get these extreme cases, Yes, statistics

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Speaker 1: are on your side, UM, and that's how it's treated

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Speaker 1: as well. In mild cases, it's treated sort of like

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Speaker 1: the flu. You get rest, you have a lot of fluids, UM,

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Speaker 1: you try to manage your fever, and generally in the

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Speaker 1: side of a couple of weeks, you will recover. In

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Speaker 1: mild cases, right, one of the problems that I saw

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Speaker 1: the chuck is that when the case becomes more advanced

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Speaker 1: and you have difficulty breathing, it's it's um. It just

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Speaker 1: kind of like reeks havoc on your lungs and the

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Speaker 1: air sax and your lungs avioli um start to become

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Speaker 1: damn it. And when they become damaged, they can very

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Speaker 1: easily get infected and filled with fluid, and then you

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Speaker 1: have pneumonia. And that's an entirely different co morbidity that

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Speaker 1: is um difficult to manage that that can kill you,

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Speaker 1: but also isn't necessarily going to kill you. But it's

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Speaker 1: it's another problem that they're finding can arise out of

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Speaker 1: a COVID nineteen infection. Yeah, I think uh Dave has

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Speaker 1: here down. The latest statistic is about one to three

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Speaker 1: percent of infections get to the secondary pneumonia, and if

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Speaker 1: that happens, you have what's called ARDS, acute respiratory distress syndrome.

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Speaker 1: And the scary part about ARDS is thirty of those

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Speaker 1: cases end up proving fatal. Right yeah, even if you

403
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Speaker 1: have ever been a later right um. And one of

404
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Speaker 1: the things that's kind of confounded people UM studying this

405
00:23:53,440 --> 00:23:56,720
Speaker 1: pandemic has been like that every once in a while,

406
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Speaker 1: a young, healthy person will will die from this, and

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Speaker 1: it's very puzzling. It doesn't make a lot of sense.

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Speaker 1: And I saw that there was a an article in

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Speaker 1: The Lancet from January that talked about a study that

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Speaker 1: found that in cases UM where people were severely ill,

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Speaker 1: they found what's called the cyto keine storm, which I

412
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Speaker 1: know we've talked about before, but basically, your body throws

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Speaker 1: everything it has at this infection, and it's actually an

414
00:24:23,400 --> 00:24:27,760
Speaker 1: overblown immune reaction, so so much so that your body

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Speaker 1: attacks its own organs and you can die from multiple

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Speaker 1: organ failure. Again, this is in the worst case scenarios,

417
00:24:34,600 --> 00:24:38,439
Speaker 1: but it does explain why some younger, healthy people have

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Speaker 1: mysteriously died from this. They think that it's their body

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Speaker 1: just overreacted to the to the illness yeah, and you know,

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Speaker 1: and I know that they have to report accurate findings.

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Speaker 1: But I think one of the things that is certainly

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Speaker 1: not helped um with the social distancing is the initial

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Speaker 1: news that, um, it's really only a problem if you're elderly,

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Speaker 1: are over a certain age. And so now that I mean,

425
00:25:04,400 --> 00:25:08,920
Speaker 1: since then, the messaging has been really ramped up on

426
00:25:09,040 --> 00:25:12,840
Speaker 1: millennials and younger people. Um. There's stories every day now

427
00:25:12,840 --> 00:25:15,119
Speaker 1: where younger people are like, hey, I've got it, this

428
00:25:15,200 --> 00:25:18,280
Speaker 1: is no joke. Please please, please don't take this lightly. Yeah,

429
00:25:18,280 --> 00:25:21,280
Speaker 1: I've seen some people doing making videos like that, and

430
00:25:21,280 --> 00:25:23,800
Speaker 1: and good for them for doing that. Um. Yeah, we

431
00:25:23,920 --> 00:25:25,840
Speaker 1: got a lot of things wrong early on in this

432
00:25:26,400 --> 00:25:29,720
Speaker 1: in this outbreak in the United States, for sure, Yes

433
00:25:29,800 --> 00:25:31,679
Speaker 1: you could say, you could say that. Um. One of

434
00:25:31,680 --> 00:25:33,320
Speaker 1: the other things I want to point out though, speaking

435
00:25:33,320 --> 00:25:36,120
Speaker 1: about numbers and statistics and everything, though, is that like

436
00:25:36,800 --> 00:25:40,440
Speaker 1: when we when we talk about like the rates of mortality,

437
00:25:40,440 --> 00:25:43,359
Speaker 1: which we'll talk about in a second, it's really important

438
00:25:43,440 --> 00:25:48,080
Speaker 1: to remember that, you know, even if the mortality rate

439
00:25:48,119 --> 00:25:52,159
Speaker 1: is as high as three percent, that means that of

440
00:25:52,200 --> 00:25:55,080
Speaker 1: people who get it recover. And one thing I've really

441
00:25:55,080 --> 00:25:57,159
Speaker 1: been heartened to see Chuck, is if just in the

442
00:25:57,280 --> 00:26:00,760
Speaker 1: last couple of days the news agency's have started to

443
00:26:01,000 --> 00:26:05,560
Speaker 1: report total cases, and then next to that are recoveries,

444
00:26:06,160 --> 00:26:08,280
Speaker 1: and then after that our deaths. It used to just

445
00:26:08,359 --> 00:26:10,800
Speaker 1: be total number of cases and deaths. Now there's a

446
00:26:10,840 --> 00:26:14,480
Speaker 1: big old bar in between those two. That's recovered people

447
00:26:14,520 --> 00:26:17,639
Speaker 1: who have gotten the the had come down with COVID

448
00:26:17,720 --> 00:26:22,399
Speaker 1: nineteen and have now recovered and are no longer ill. Yeah.

449
00:26:22,440 --> 00:26:26,960
Speaker 1: I mean the fatality rate is I've seen four percent, uh,

450
00:26:27,080 --> 00:26:31,320
Speaker 1: Dave has here um. Some people place it below one percent,

451
00:26:31,520 --> 00:26:35,119
Speaker 1: some above two. It's somewhere in that range. Uh. And

452
00:26:35,119 --> 00:26:38,200
Speaker 1: if you want to compare it to Stars, Stars had

453
00:26:38,200 --> 00:26:41,080
Speaker 1: a fatality rate of about ten percent UM, but it

454
00:26:41,119 --> 00:26:44,400
Speaker 1: was much more contained. So that's sort of the main

455
00:26:44,480 --> 00:26:47,880
Speaker 1: difference in what we're seeing here with COVID nineteen. Yeah.

456
00:26:48,160 --> 00:26:51,000
Speaker 1: The reason why no one can say at this point

457
00:26:51,080 --> 00:26:54,640
Speaker 1: what the fatality rate actually is, in part is because

458
00:26:54,960 --> 00:26:58,600
Speaker 1: the UM testing was so flubbed early on in the

459
00:26:58,680 --> 00:27:03,639
Speaker 1: United States that so few people were given tests the

460
00:27:03,960 --> 00:27:07,960
Speaker 1: results were skewed, right, So if you took a test

461
00:27:08,040 --> 00:27:12,479
Speaker 1: for COVID nineteen, the chances are you had such terrible

462
00:27:12,520 --> 00:27:15,120
Speaker 1: symptoms that you went to the hospital and they tested

463
00:27:15,119 --> 00:27:18,680
Speaker 1: you there. Well, that totally leaves out people who had

464
00:27:18,720 --> 00:27:22,480
Speaker 1: COVID nineteen but had those mild cases and didn't go

465
00:27:22,520 --> 00:27:24,399
Speaker 1: to the hospital and so they didn't get a test.

466
00:27:24,680 --> 00:27:27,359
Speaker 1: So this vast number of people who came down with

467
00:27:27,400 --> 00:27:30,080
Speaker 1: COVID nineteen and it was just like the flu or

468
00:27:30,119 --> 00:27:33,679
Speaker 1: the common cold, so that their numbers weren't added to this,

469
00:27:33,720 --> 00:27:36,840
Speaker 1: which makes the number of people who were tested and

470
00:27:36,840 --> 00:27:41,680
Speaker 1: then died really disproportionate to the actual numbers of people

471
00:27:41,720 --> 00:27:44,720
Speaker 1: who die when they have COVID nineteen, at least in

472
00:27:44,720 --> 00:27:47,760
Speaker 1: the United States and in South Korea, which is held

473
00:27:47,800 --> 00:27:51,159
Speaker 1: up as like this model for how to handle a

474
00:27:51,160 --> 00:27:57,160
Speaker 1: pandemic from this point forward. They had plentiful widespread testing

475
00:27:57,400 --> 00:28:00,040
Speaker 1: early on and throughout, and they took a lot of

476
00:28:00,080 --> 00:28:04,120
Speaker 1: really good containment measures. But because they had really good testing,

477
00:28:04,520 --> 00:28:07,760
Speaker 1: um it became clear that the fatality rate, at least

478
00:28:07,760 --> 00:28:11,560
Speaker 1: in South Korea, it was point seven percent, which is

479
00:28:11,560 --> 00:28:14,320
Speaker 1: still higher than a seasonal flu, which usually about point

480
00:28:14,359 --> 00:28:16,920
Speaker 1: one percent, but it's not nearly as high as, like

481
00:28:16,960 --> 00:28:20,119
Speaker 1: you said, four percent. So our our understanding of the

482
00:28:20,119 --> 00:28:23,159
Speaker 1: actual fatality rate is not it's not clear yet, but

483
00:28:23,200 --> 00:28:28,480
Speaker 1: it's probably not anywhere near as high as four percent. Yeah,

484
00:28:28,520 --> 00:28:30,720
Speaker 1: that's what the thinking is, um, and that you know,

485
00:28:30,760 --> 00:28:35,679
Speaker 1: the asymptomatic individuals, they are a simps, is what I

486
00:28:35,720 --> 00:28:39,720
Speaker 1: call them. That's another one of the scary parts about

487
00:28:39,760 --> 00:28:42,760
Speaker 1: it is it's hard to get accurate numbers on even

488
00:28:42,800 --> 00:28:44,800
Speaker 1: the number of people that have it because there could

489
00:28:44,800 --> 00:28:48,880
Speaker 1: be there could be people, uh, there could be far

490
00:28:48,960 --> 00:28:51,040
Speaker 1: more people that have it that just don't develop the

491
00:28:51,080 --> 00:28:55,600
Speaker 1: symptoms and are still spreading it because they think they're great. Right.

492
00:28:55,680 --> 00:28:58,120
Speaker 1: There an enormous problem. And that's one of the things.

493
00:28:58,200 --> 00:29:01,200
Speaker 1: I know we've talked about this before, but like a

494
00:29:01,520 --> 00:29:06,240
Speaker 1: worst case scenario for a virus is one that infects

495
00:29:06,240 --> 00:29:08,800
Speaker 1: a person but takes a while for symptoms to show up,

496
00:29:08,800 --> 00:29:12,080
Speaker 1: because like you said, they're a simps walking around infecting

497
00:29:12,120 --> 00:29:15,680
Speaker 1: everybody else because they can spread it um even though

498
00:29:15,720 --> 00:29:18,160
Speaker 1: they don't know they're sick yet. And by the way,

499
00:29:18,280 --> 00:29:24,000
Speaker 1: Chuck a Simps. Excellent band name, and I see them

500
00:29:24,120 --> 00:29:30,040
Speaker 1: all with matching man chi che haircuts, the whole, the

501
00:29:30,040 --> 00:29:33,560
Speaker 1: whole four or five piece band. Interesting the a Simps

502
00:29:34,040 --> 00:29:37,160
Speaker 1: manchy Chi was that sort of like, uh, I remember

503
00:29:37,160 --> 00:29:41,640
Speaker 1: the song ironically, but I can't picture They're they're little

504
00:29:41,640 --> 00:29:44,200
Speaker 1: fuzz heads, weren't they. They were. They were kind of

505
00:29:44,320 --> 00:29:46,480
Speaker 1: kind of like mop top, like the Beatles with their

506
00:29:46,520 --> 00:29:49,160
Speaker 1: matching haircuts. Early on, it was a little like that.

507
00:29:49,240 --> 00:29:52,000
Speaker 1: I guess, all right, are you saying the Beatles were

508
00:29:52,000 --> 00:29:56,200
Speaker 1: a simps the Yeah? I think that was their original

509
00:29:56,520 --> 00:30:00,880
Speaker 1: the original name with Pete Best in Hamburg. Wow. Uh,

510
00:30:00,920 --> 00:30:04,280
Speaker 1: all right, let's talk about how to how it spreads. Um.

511
00:30:04,320 --> 00:30:07,440
Speaker 1: You did mention earlier, but it bears repeating. Um. This

512
00:30:07,720 --> 00:30:11,440
Speaker 1: six foot rule is because you are most likely to

513
00:30:11,480 --> 00:30:17,440
Speaker 1: get infected by being sneezed around, being coughed around, and

514
00:30:17,520 --> 00:30:22,160
Speaker 1: getting those airborne droplets from an infected person. Even though

515
00:30:22,200 --> 00:30:26,360
Speaker 1: they do know now it can live on surfaces, and

516
00:30:26,360 --> 00:30:29,240
Speaker 1: they're they're rapidly trying to test how long it lives

517
00:30:29,240 --> 00:30:31,960
Speaker 1: on various types of surfaces, because that's that's a big,

518
00:30:31,960 --> 00:30:35,120
Speaker 1: big deal. Yeah. So, and I didn't know this. Um.

519
00:30:35,160 --> 00:30:37,880
Speaker 1: An infected surface is called a foe might Did you

520
00:30:37,920 --> 00:30:42,120
Speaker 1: know that? I don't think so. So. Grocery store cart

521
00:30:42,280 --> 00:30:50,720
Speaker 1: handle foue mic um potentially uh, plastic from a a glove.

522
00:30:51,760 --> 00:30:55,360
Speaker 1: Uh if it's a plastic glove, foe might it's a

523
00:30:55,360 --> 00:30:59,440
Speaker 1: foamte yeah, cardboard. Uh. I know that they're testing cardboard

524
00:30:59,440 --> 00:31:01,960
Speaker 1: a lot right now because a lot of people obviously

525
00:31:02,000 --> 00:31:05,800
Speaker 1: you're getting home deliveries now. And um, just quick little

526
00:31:05,920 --> 00:31:10,200
Speaker 1: non doctor recommendation from Dr Chuck. Here. When I get

527
00:31:10,240 --> 00:31:13,000
Speaker 1: a package, now, I go outside with my surgical gloves on.

528
00:31:13,600 --> 00:31:17,480
Speaker 1: I opened it on the front porch and I put

529
00:31:17,480 --> 00:31:22,000
Speaker 1: a firebomb in that cardboard box. Push it into the street.

530
00:31:22,560 --> 00:31:26,840
Speaker 1: Very smart said I don't bring that outer box inside

531
00:31:26,840 --> 00:31:29,120
Speaker 1: though at all. No, no, no, you send it down

532
00:31:29,120 --> 00:31:33,160
Speaker 1: the street a flame in a wheelchair like um Philip

533
00:31:33,240 --> 00:31:37,840
Speaker 1: Smore Hofman dragon Man. That was one of the creepier

534
00:31:37,880 --> 00:31:41,000
Speaker 1: images in movie history. I think it's great, especially when

535
00:31:41,000 --> 00:31:44,160
Speaker 1: he like hits the wall in like jerks back. Word

536
00:31:44,240 --> 00:31:48,120
Speaker 1: that it was great. Um. The the There was a

537
00:31:48,480 --> 00:31:51,440
Speaker 1: I think a N I H study that looked at

538
00:31:51,480 --> 00:31:56,000
Speaker 1: Foe mies. It found that in the air when somebody sneeze, sneezes,

539
00:31:56,080 --> 00:32:00,920
Speaker 1: or coughs into the air, that aerosolized um air or

540
00:32:00,960 --> 00:32:05,040
Speaker 1: air sulized virus sorry can can survive for three hours

541
00:32:05,360 --> 00:32:10,120
Speaker 1: in the air UM four hours on copper surfaces, twenty

542
00:32:10,160 --> 00:32:13,040
Speaker 1: four hours on cardboard, two to three days on plastic,

543
00:32:13,080 --> 00:32:17,160
Speaker 1: and stainless steel. Um. The thing is, this is really

544
00:32:17,200 --> 00:32:21,040
Speaker 1: reassuring because I too have been super worried about things

545
00:32:21,080 --> 00:32:24,880
Speaker 1: like boxes or touching grocery carts or anything like that.

546
00:32:25,240 --> 00:32:28,160
Speaker 1: The CDC says that up to this point, there have

547
00:32:28,240 --> 00:32:36,000
Speaker 1: been no documented cases of infection from foe mines. That's huge, man,

548
00:32:36,120 --> 00:32:39,000
Speaker 1: that's huge, because that means that if if you're not

549
00:32:39,080 --> 00:32:41,360
Speaker 1: around a sick person, at least up until this point,

550
00:32:41,440 --> 00:32:44,719
Speaker 1: at least documented wise, if you haven't been around somebody

551
00:32:44,720 --> 00:32:48,560
Speaker 1: who's sick, you haven't gotten it from touching something. And

552
00:32:48,600 --> 00:32:50,480
Speaker 1: that's a big thing that people have been talking about,

553
00:32:50,600 --> 00:32:52,719
Speaker 1: Like don't touch your face is one way to avoid

554
00:32:52,760 --> 00:32:55,280
Speaker 1: the spread, which we'll talk about, but don't touch your

555
00:32:55,280 --> 00:32:58,040
Speaker 1: face after not only like being around somebody, but don't

556
00:32:58,080 --> 00:33:00,640
Speaker 1: touch your face after touching a car or box or

557
00:33:00,680 --> 00:33:02,760
Speaker 1: touching a grocery cart or something like that, because it

558
00:33:02,800 --> 00:33:04,959
Speaker 1: could be a foam mic. But the idea that no

559
00:33:05,000 --> 00:33:07,480
Speaker 1: one has gotten sick yet from a foam mic I

560
00:33:07,560 --> 00:33:11,000
Speaker 1: found extraordinarily reassuring. Although it's not like we should go

561
00:33:11,000 --> 00:33:13,760
Speaker 1: get cocky now and you can just do whatever, but

562
00:33:14,640 --> 00:33:16,960
Speaker 1: I feel like I can relax a little bit, even

563
00:33:16,960 --> 00:33:18,800
Speaker 1: though I'm going to be just as vigilant, I can

564
00:33:18,840 --> 00:33:21,640
Speaker 1: be a little more relaxed about it. Yeah, I mean,

565
00:33:21,640 --> 00:33:24,680
Speaker 1: you're not gonna go start licking grocery cart handles like

566
00:33:24,760 --> 00:33:28,959
Speaker 1: you usually do. Man, some of the tastes I've discovered

567
00:33:29,080 --> 00:33:33,240
Speaker 1: or it's almost like it's like the impossible colors version

568
00:33:33,280 --> 00:33:37,200
Speaker 1: of tastes, and some some like almost something that HP

569
00:33:37,360 --> 00:33:42,440
Speaker 1: Lovecraft would had have trouble describing. Well, that's how you

570
00:33:42,480 --> 00:33:46,600
Speaker 1: discovered the new form of umami that had previously been undiscovered,

571
00:33:46,800 --> 00:33:51,239
Speaker 1: right right, jumanti um. And to be clear, to this

572
00:33:51,360 --> 00:33:53,760
Speaker 1: whole cardboard box on the porch thing and the surgical

573
00:33:53,760 --> 00:33:57,200
Speaker 1: gloves for me, um, that's a an abundance of caution,

574
00:33:57,360 --> 00:34:00,600
Speaker 1: just being like, you know, wide not just leave it

575
00:34:00,640 --> 00:34:03,520
Speaker 1: on the porch just because I don't know, and the

576
00:34:04,440 --> 00:34:07,920
Speaker 1: surgical gloves thing. And keep in mind, I really literally

577
00:34:07,960 --> 00:34:13,360
Speaker 1: haven't left the house in ten days, I don't think. Um.

578
00:34:13,400 --> 00:34:15,880
Speaker 1: But previous to that, I was wearing the gloves, like

579
00:34:15,920 --> 00:34:17,239
Speaker 1: when I had to run to the store to get

580
00:34:17,239 --> 00:34:20,920
Speaker 1: our stuff, just so I didn't have to sanitize my

581
00:34:20,960 --> 00:34:23,680
Speaker 1: steering wheel and my car door handle and everything like

582
00:34:23,719 --> 00:34:27,920
Speaker 1: that every single time I did anything. It's just smart, Yeah,

583
00:34:27,920 --> 00:34:30,839
Speaker 1: it's really hard to do too, Like if you're if

584
00:34:30,880 --> 00:34:33,719
Speaker 1: you think about it, you're you're like, wait, but I

585
00:34:33,760 --> 00:34:37,239
Speaker 1: need my hand to touch my credit card because but

586
00:34:37,320 --> 00:34:39,080
Speaker 1: then I need my gloved hand to punch in the

587
00:34:39,160 --> 00:34:42,200
Speaker 1: numbers for my zip code, and like it's like you

588
00:34:42,320 --> 00:34:45,000
Speaker 1: really have to be on point to keep up with it.

589
00:34:45,040 --> 00:34:47,680
Speaker 1: And even then you're just it's impossible to be perfect,

590
00:34:47,719 --> 00:34:51,040
Speaker 1: you know. Yeah, I mean we've been um again, we

591
00:34:51,040 --> 00:34:52,560
Speaker 1: haven't been out much at all, but when we have

592
00:34:52,680 --> 00:34:55,879
Speaker 1: had to be out, we're sanitizing our credit cards. When

593
00:34:55,880 --> 00:34:59,160
Speaker 1: we come back, we spray our door handle and you know,

594
00:34:59,239 --> 00:35:01,439
Speaker 1: not like Howard use level stuff, but just just trying

595
00:35:01,440 --> 00:35:04,640
Speaker 1: to be smart, right, although Howard hughes level stuff right

596
00:35:04,640 --> 00:35:06,840
Speaker 1: now is not not the worst idea, Like I have

597
00:35:07,000 --> 00:35:11,560
Speaker 1: Peenix boxes on my feet right now. No, no, no judgment,

598
00:35:11,640 --> 00:35:15,600
Speaker 1: of course. Um so, Chuck, we're talking about how it spreads. Um,

599
00:35:15,760 --> 00:35:19,160
Speaker 1: what actually happens with this virus is once somebody coughs

600
00:35:19,280 --> 00:35:23,360
Speaker 1: or sneezes or licks their hand and wipes a elevator

601
00:35:23,400 --> 00:35:27,239
Speaker 1: button or something with it. Um, it's it's that is

602
00:35:27,280 --> 00:35:30,719
Speaker 1: an infected surface. Although apparently people haven't gotten sick from

603
00:35:30,760 --> 00:35:34,000
Speaker 1: it yet but more often than not, apparently you're going

604
00:35:34,040 --> 00:35:36,120
Speaker 1: to get sick if you're around somebody who coughs or

605
00:35:36,120 --> 00:35:40,000
Speaker 1: sneezes and you get it from the aerosolized virus. When

606
00:35:40,000 --> 00:35:42,680
Speaker 1: that when that virus enters your body through your mouth,

607
00:35:42,840 --> 00:35:46,480
Speaker 1: your nose, or your eyes, it sets up shop um,

608
00:35:46,600 --> 00:35:49,040
Speaker 1: usually around in your throat, which is where that dry

609
00:35:49,080 --> 00:35:54,040
Speaker 1: cough starts um. And the reason that those those spiked

610
00:35:54,080 --> 00:35:58,880
Speaker 1: proteins that form the coronavirus is crown are there is

611
00:35:58,960 --> 00:36:02,400
Speaker 1: because that's how it interacts with the cell. And the

612
00:36:02,480 --> 00:36:04,319
Speaker 1: way that it interacts with the cell is through an

613
00:36:04,440 --> 00:36:08,520
Speaker 1: enzyme that's present on the outer membranes of most cells

614
00:36:08,520 --> 00:36:11,800
Speaker 1: in the human bodies, and this enzyme is called furin.

615
00:36:12,120 --> 00:36:17,920
Speaker 1: Furin I say furin fu r I N. Furin activates

616
00:36:17,960 --> 00:36:23,839
Speaker 1: that that protein spike, and that's how the virus can

617
00:36:23,880 --> 00:36:27,520
Speaker 1: pump its its genetic information into the cell, which hijacks

618
00:36:27,520 --> 00:36:31,799
Speaker 1: the cell's functions and says you're making copies of me now,

619
00:36:32,480 --> 00:36:34,839
Speaker 1: and then it just kind of spreads from there. And

620
00:36:34,880 --> 00:36:38,080
Speaker 1: this is why they think that the um that you

621
00:36:38,160 --> 00:36:41,400
Speaker 1: can get things like diarrhea like a cow or a pig,

622
00:36:41,880 --> 00:36:45,359
Speaker 1: or you can suffer multiple organ failure or it can

623
00:36:45,360 --> 00:36:48,720
Speaker 1: go after other stuff. Is because most of the organs

624
00:36:48,719 --> 00:36:52,080
Speaker 1: and systems in your body have cells that contain furin

625
00:36:52,160 --> 00:36:56,759
Speaker 1: on their outer envelopes, and so the the coronavirus UM

626
00:36:57,200 --> 00:37:02,279
Speaker 1: can can interact with just about any cell that has furin. Yeah,

627
00:37:02,360 --> 00:37:04,200
Speaker 1: and it makes me really uncomfortable for you to talk

628
00:37:04,239 --> 00:37:08,080
Speaker 1: about my outer envelopes and diarrhea and cows and pigs

629
00:37:08,080 --> 00:37:12,279
Speaker 1: in the same sentence. Yeah, it's all pretty bad. Uh.

630
00:37:12,360 --> 00:37:14,960
Speaker 1: The and you know we've talked about touching your face,

631
00:37:15,080 --> 00:37:17,560
Speaker 1: which is tough for me as a nail biter and

632
00:37:17,680 --> 00:37:22,520
Speaker 1: just general oral orally fixated individual. Um that six foot

633
00:37:22,600 --> 00:37:26,879
Speaker 1: distance Uh, disinfecting light switches and door knobs and countertops

634
00:37:27,080 --> 00:37:30,359
Speaker 1: surely doesn't hurt. And uh and I know everyone has

635
00:37:30,400 --> 00:37:33,080
Speaker 1: heard this a gazillion times, but we would be negligent

636
00:37:33,160 --> 00:37:35,279
Speaker 1: if we didn't talk about washing your hands with soap

637
00:37:35,320 --> 00:37:39,920
Speaker 1: and water hot water for at least twenty seconds. Um.

638
00:37:40,160 --> 00:37:44,880
Speaker 1: Pretend you're a surgeon, and you've seen shows about surgeons.

639
00:37:45,360 --> 00:37:48,680
Speaker 1: Just pretend like you're in the match camp and just

640
00:37:48,800 --> 00:37:53,520
Speaker 1: wash like they wash. There was no chance that we

641
00:37:53,520 --> 00:37:57,879
Speaker 1: were not going to reference match in this episode. I know, Uh,

642
00:37:57,920 --> 00:38:00,560
Speaker 1: they there's different songs like the ABC song or I

643
00:38:00,560 --> 00:38:03,960
Speaker 1: Don't want no scrubs. I guess you could sing like

644
00:38:04,000 --> 00:38:06,439
Speaker 1: a surgeon if you wanted to. Oh that's a good one,

645
00:38:07,040 --> 00:38:09,480
Speaker 1: but at least get in there for twenty seconds. We

646
00:38:09,520 --> 00:38:12,160
Speaker 1: have handwashing parties at my house several times a day,

647
00:38:12,320 --> 00:38:15,360
Speaker 1: even though we're not going out. We take our temperature

648
00:38:15,360 --> 00:38:19,480
Speaker 1: every morning, um as a family. And uh, you know,

649
00:38:19,520 --> 00:38:22,640
Speaker 1: because I took that trip to Philly, New York and

650
00:38:22,760 --> 00:38:26,960
Speaker 1: d C right as this was launching to see Bonnie

651
00:38:26,960 --> 00:38:30,600
Speaker 1: Prince Billy and uh you know, we went on two trains,

652
00:38:30,680 --> 00:38:34,879
Speaker 1: two planes Penn Station in New York for God's sake,

653
00:38:35,000 --> 00:38:39,760
Speaker 1: which is already the filthiest place on earth. And uh,

654
00:38:39,800 --> 00:38:42,440
Speaker 1: I was not freaking out, but I was definitely at

655
00:38:42,440 --> 00:38:46,440
Speaker 1: a higher risk than the rest of my family. So

656
00:38:46,480 --> 00:38:50,000
Speaker 1: I've been watching stuff. And tomorrow actually will be my

657
00:38:50,440 --> 00:38:53,719
Speaker 1: fourteen day, the end of my fourteen day window. So

658
00:38:54,239 --> 00:38:57,600
Speaker 1: unless something really happens overnight, then I feel pretty good. Man.

659
00:38:57,640 --> 00:38:59,560
Speaker 1: I'm glad to hear that. That's great. That's got to

660
00:38:59,600 --> 00:39:02,000
Speaker 1: be a big relief. It is, you know. I try

661
00:39:02,080 --> 00:39:04,440
Speaker 1: not to focus on it, but um, you know, my

662
00:39:04,480 --> 00:39:07,960
Speaker 1: wife and daughter didn't go to Penn station and didn't

663
00:39:08,120 --> 00:39:10,000
Speaker 1: eat a Philly chee steak at two in the morning,

664
00:39:11,040 --> 00:39:13,840
Speaker 1: you know, I know, and yet they could have suffered

665
00:39:13,880 --> 00:39:17,040
Speaker 1: for it, you know. Yeah. So, um, I think a

666
00:39:17,040 --> 00:39:19,400
Speaker 1: lot of people are counting down days. I know. You

667
00:39:19,560 --> 00:39:23,200
Speaker 1: me is from this past Thursday, which is the last

668
00:39:23,239 --> 00:39:26,200
Speaker 1: time her dad went out to get supplies, um from

669
00:39:26,200 --> 00:39:31,120
Speaker 1: the grocery store, and she's like nervously counting, accounting to

670
00:39:31,200 --> 00:39:35,640
Speaker 1: fourteen from from Thursday, just trying to will you know,

671
00:39:35,840 --> 00:39:38,439
Speaker 1: him not to get sick um. And I think that's

672
00:39:38,440 --> 00:39:41,600
Speaker 1: just kind of like it's everybody's got these these little

673
00:39:41,760 --> 00:39:45,200
Speaker 1: countdown clocks going on right now of their own. It's

674
00:39:45,320 --> 00:39:48,080
Speaker 1: just talk about like an anxious thing to do while

675
00:39:48,080 --> 00:39:52,160
Speaker 1: you're sitting around in your home, not not leaving, you know,

676
00:39:53,160 --> 00:39:56,640
Speaker 1: to pass right exactly. You're you're you're counting down the

677
00:39:56,719 --> 00:40:00,000
Speaker 1: days in the hopes that an illness doesn't pop up

678
00:40:00,000 --> 00:40:04,319
Speaker 1: in the meantime. Like what a strange, horrible thing for

679
00:40:04,400 --> 00:40:08,840
Speaker 1: everybody to be doing right now. Yeah. Absolutely, Um, we

680
00:40:08,840 --> 00:40:12,000
Speaker 1: should mention masks really quickly to uh. The c D

681
00:40:12,120 --> 00:40:14,799
Speaker 1: says there's no need to wear a mask unless you

682
00:40:14,800 --> 00:40:17,959
Speaker 1: are sick or you're caring from one for someone who's sick.

683
00:40:18,520 --> 00:40:20,680
Speaker 1: If you're healthy, if you're not sick, if you're keeping

684
00:40:20,680 --> 00:40:24,880
Speaker 1: yourself clean, masks aren't necessary. You shouldn't go out and

685
00:40:24,920 --> 00:40:29,400
Speaker 1: buy hundreds of these things. Um. I mean, I'm not

686
00:40:29,400 --> 00:40:31,440
Speaker 1: gonna judge in one. If they had some and they

687
00:40:31,440 --> 00:40:34,160
Speaker 1: want to wear them out, more power to you. Uh.

688
00:40:34,200 --> 00:40:36,080
Speaker 1: Some people say that they wear them to keep from

689
00:40:36,080 --> 00:40:39,040
Speaker 1: touching their face because they're really fixated, so that you

690
00:40:39,040 --> 00:40:42,680
Speaker 1: know there's something to that. But um, the rush on

691
00:40:42,760 --> 00:40:45,759
Speaker 1: buying things like surgical masks has um put a dent

692
00:40:45,880 --> 00:40:49,239
Speaker 1: in the medical supply chain, which is not cool. No,

693
00:40:49,480 --> 00:40:51,080
Speaker 1: And I have to say, like, I know we're not

694
00:40:51,200 --> 00:40:53,960
Speaker 1: getting political or whatever, but I've read a New York

695
00:40:53,960 --> 00:40:57,280
Speaker 1: Times article with with this guy. It was about masks

696
00:40:57,280 --> 00:40:59,799
Speaker 1: and the masks shortage, and there was this one man,

697
00:40:59,840 --> 00:41:03,720
Speaker 1: you factorer in Texas, who said, man, short of setting

698
00:41:03,719 --> 00:41:05,759
Speaker 1: myself on fire in front of the White House, I've

699
00:41:05,800 --> 00:41:10,759
Speaker 1: done everything I can to warn the government that we

700
00:41:10,840 --> 00:41:14,200
Speaker 1: are in a really precar precarious position. He said. I

701
00:41:14,320 --> 00:41:18,200
Speaker 1: told that the Bush administration, the Obama administration, and the

702
00:41:18,200 --> 00:41:23,920
Speaker 1: Trump administration that we rely on like of our medical

703
00:41:24,000 --> 00:41:27,839
Speaker 1: masks from overseas, and if a pandemic happens, we're gonna

704
00:41:27,880 --> 00:41:30,200
Speaker 1: be reliant on other countries who are dealing with their

705
00:41:30,239 --> 00:41:33,279
Speaker 1: own stuff to send us masks. And he said that's

706
00:41:33,280 --> 00:41:37,680
Speaker 1: even the case with American manufacturers who moved their operations

707
00:41:37,719 --> 00:41:41,200
Speaker 1: overseas for cheaper labor. And in fact, there's a company

708
00:41:41,239 --> 00:41:45,800
Speaker 1: that makes medical masks and it's an American company that

709
00:41:45,880 --> 00:41:49,080
Speaker 1: moved their jam to France, and France under this pandemic

710
00:41:49,160 --> 00:41:51,720
Speaker 1: said well, by the way, we've taken over your factory

711
00:41:51,840 --> 00:41:54,480
Speaker 1: and none of these masks are leaving France. You can't

712
00:41:54,520 --> 00:41:57,239
Speaker 1: send them anywhere. It's illegal there are though you're an

713
00:41:57,239 --> 00:41:59,879
Speaker 1: American company, this is in France, and we just Nash

714
00:42:00,000 --> 00:42:03,960
Speaker 1: realized everything. So, um, this guy has been warning any everybody.

715
00:42:04,000 --> 00:42:06,840
Speaker 1: I can't imagine what that's like to be to have

716
00:42:06,920 --> 00:42:10,520
Speaker 1: seen this coming so clearly, uh, and to to just

717
00:42:10,640 --> 00:42:13,160
Speaker 1: not be listened to, you know, because exactly what he

718
00:42:13,239 --> 00:42:16,920
Speaker 1: predicted his panned out. Oh boy, All right, well, let's

719
00:42:16,960 --> 00:42:20,360
Speaker 1: take another break and we'll talk about containing the spread.

720
00:42:20,480 --> 00:42:26,240
Speaker 1: Everyone's favorite two words these days social distancing and um,

721
00:42:26,280 --> 00:42:28,640
Speaker 1: a little bit more about COVID nineteen. Right after this

722
00:42:31,719 --> 00:42:52,719
Speaker 1: stuff you should know, Nash, stuff you should know. So

723
00:42:53,280 --> 00:42:56,520
Speaker 1: I just want to say, everybody, I think it's laughable.

724
00:42:57,120 --> 00:42:59,920
Speaker 1: Anyone including me who thought that I wasn't going to

725
00:43:00,080 --> 00:43:03,640
Speaker 1: get political at all in this episode. Well, you indicted

726
00:43:04,480 --> 00:43:08,359
Speaker 1: the past three administrations. So that's okay. That seems fair

727
00:43:08,440 --> 00:43:14,400
Speaker 1: and balanced, fair and balanced. So, uh, until we have

728
00:43:14,440 --> 00:43:18,480
Speaker 1: a vaccine, we can only contain COVID nineteen. It is

729
00:43:18,560 --> 00:43:21,799
Speaker 1: about twice as contagious as the seasonal flu. Yeah, that's

730
00:43:21,800 --> 00:43:26,440
Speaker 1: a big, big big deal. Yeah, it's very contagious. Um.

731
00:43:26,520 --> 00:43:30,600
Speaker 1: And like we said, the big fear right now obviously

732
00:43:30,760 --> 00:43:32,960
Speaker 1: is loss of life. But the real, real big fear

733
00:43:33,160 --> 00:43:38,080
Speaker 1: is that the medical system becomes overwhelmed and treatable infections

734
00:43:38,880 --> 00:43:41,920
Speaker 1: UM can become deadly because we don't have the resources

735
00:43:41,920 --> 00:43:47,400
Speaker 1: that we need. Right. So the in addition to social distancing,

736
00:43:47,480 --> 00:43:50,960
Speaker 1: if that one isn't the Oxford English Dictionaries word of

737
00:43:51,000 --> 00:43:54,359
Speaker 1: the year, oh yeah, then flattening the curve has got

738
00:43:54,400 --> 00:43:56,919
Speaker 1: to be. It's one of them. They're they're gonna tie

739
00:43:56,960 --> 00:44:00,360
Speaker 1: for first probably, and I we should probably blame what

740
00:44:00,400 --> 00:44:02,480
Speaker 1: flattening the curve is for like the three people who

741
00:44:02,560 --> 00:44:06,880
Speaker 1: aren't already familiar with it, shall we? Alright, so flattening

742
00:44:06,880 --> 00:44:10,399
Speaker 1: the curve is this idea that, um, we're going to

743
00:44:10,440 --> 00:44:13,560
Speaker 1: get x number of infections because this is a pandemic,

744
00:44:13,680 --> 00:44:15,799
Speaker 1: A lot of people are going to get infected by

745
00:44:15,840 --> 00:44:20,799
Speaker 1: coronavirus and become sick from it, right, But what we

746
00:44:20,880 --> 00:44:24,880
Speaker 1: can manage is the time scale that that number of

747
00:44:25,000 --> 00:44:28,440
Speaker 1: infections takes place over. So let's say we know that

748
00:44:28,520 --> 00:44:31,799
Speaker 1: an area is going to get just statistically speaking, a

749
00:44:31,880 --> 00:44:36,759
Speaker 1: thousand infections from this pandemic. It's way different to have

750
00:44:36,920 --> 00:44:40,400
Speaker 1: those thousands and thousand infections all at once over the

751
00:44:40,400 --> 00:44:42,680
Speaker 1: course of one week than it is to have that

752
00:44:42,760 --> 00:44:45,560
Speaker 1: same number of infections one thousand over the course of

753
00:44:45,600 --> 00:44:49,640
Speaker 1: ten weeks because of the strain that it puts a

754
00:44:49,760 --> 00:44:53,320
Speaker 1: medical staff and medical equipment. We have a limited amount

755
00:44:53,360 --> 00:44:57,919
Speaker 1: of of medical staff and medical equipment, and if they're

756
00:44:57,920 --> 00:45:00,880
Speaker 1: all called for at the same time, that's problem. But

757
00:45:01,160 --> 00:45:04,000
Speaker 1: we can reuse that medical staff, we can reuse that

758
00:45:04,120 --> 00:45:07,440
Speaker 1: medical equipment over the span of time. So a ventilator

759
00:45:07,480 --> 00:45:10,000
Speaker 1: can support two patients who need it for a week

760
00:45:10,040 --> 00:45:12,799
Speaker 1: each over the course of two weeks, but it can

761
00:45:12,800 --> 00:45:16,600
Speaker 1: only support one patient of those two if they need

762
00:45:16,640 --> 00:45:19,440
Speaker 1: it on the same week. So flattening the curve is

763
00:45:19,480 --> 00:45:22,920
Speaker 1: all about making this this this number of infections that

764
00:45:22,960 --> 00:45:26,040
Speaker 1: were surely going to see spread out over time rather

765
00:45:26,080 --> 00:45:29,319
Speaker 1: than happening all at once. And the main mechanism for

766
00:45:29,520 --> 00:45:33,480
Speaker 1: flattening the curve is social distancing, which is just stay

767
00:45:33,480 --> 00:45:36,279
Speaker 1: away from one another to cut down on that rate

768
00:45:36,280 --> 00:45:39,600
Speaker 1: of infection. Yeah, and you know what, we we try

769
00:45:39,640 --> 00:45:42,720
Speaker 1: to remain judgment free on the show and tell people

770
00:45:42,719 --> 00:45:46,080
Speaker 1: to live their life. But this is one instance where um,

771
00:45:46,120 --> 00:45:49,120
Speaker 1: if you are not social distancing, if you are going

772
00:45:49,160 --> 00:45:53,200
Speaker 1: out to bars and restaurants and having gatherings, then you're

773
00:45:53,440 --> 00:45:56,280
Speaker 1: doing a very very bad thing right now. You're doing

774
00:45:56,320 --> 00:46:00,359
Speaker 1: something extraordinarily selfish, full stop. And I know a lot

775
00:46:00,440 --> 00:46:02,520
Speaker 1: of people are like, well, I'm young, and it doesn't

776
00:46:02,600 --> 00:46:05,080
Speaker 1: doesn't it's not gonna get me. And even if it

777
00:46:05,120 --> 00:46:06,879
Speaker 1: does get me, I'm young and healthy, I'll be fine.

778
00:46:06,880 --> 00:46:09,000
Speaker 1: It will be like a cold. The problem is is

779
00:46:09,000 --> 00:46:11,319
Speaker 1: you're the same person who's going out in public and

780
00:46:11,360 --> 00:46:15,680
Speaker 1: then touching an elevator button and making that person sick.

781
00:46:15,880 --> 00:46:19,000
Speaker 1: Or if you're sick and you're out running around, you're coughing,

782
00:46:19,160 --> 00:46:22,800
Speaker 1: you're sneezing, you're being gross, and you're aerosolizing the air

783
00:46:22,880 --> 00:46:26,320
Speaker 1: with the virus. Which can stay via viable for three hours.

784
00:46:26,400 --> 00:46:28,720
Speaker 1: So you're getting other people sick, and those other people

785
00:46:28,880 --> 00:46:33,040
Speaker 1: might not survive that COVID nineteen case that you've given

786
00:46:33,120 --> 00:46:35,600
Speaker 1: them because they're not young and they're not healthy, and

787
00:46:35,640 --> 00:46:40,319
Speaker 1: the idea that that you're just flouting that that is

788
00:46:40,400 --> 00:46:46,640
Speaker 1: just it's I think maybe blood boiling is the right term. Yeah, it's.

789
00:46:46,840 --> 00:46:50,640
Speaker 1: It really really has been pretty upsetting to see, even

790
00:46:50,760 --> 00:46:55,480
Speaker 1: in my own super cool neighborhood where people seem to

791
00:46:55,480 --> 00:46:59,040
Speaker 1: do the right thing most times. Uh And on the

792
00:46:59,040 --> 00:47:02,560
Speaker 1: the neighborhood page is on Facebook, people are talking and

793
00:47:02,600 --> 00:47:05,800
Speaker 1: doing the right thing. But you know, even up until

794
00:47:05,800 --> 00:47:08,719
Speaker 1: like a few days ago, I was driving through my

795
00:47:08,760 --> 00:47:12,960
Speaker 1: little neighborhood area where the bars and restaurants are, and

796
00:47:13,000 --> 00:47:14,800
Speaker 1: some of them are still full of people, and I

797
00:47:14,960 --> 00:47:18,279
Speaker 1: just like, I want to, like I put a loud

798
00:47:18,320 --> 00:47:21,799
Speaker 1: speaker on top of my car like in uh and

799
00:47:22,719 --> 00:47:25,399
Speaker 1: oh jeez, why am I in Slacker in the Link

800
00:47:25,440 --> 00:47:29,840
Speaker 1: Ladder film and just drive around saying very bad things

801
00:47:30,040 --> 00:47:32,920
Speaker 1: to people in public. When I think allowed speakers in cars,

802
00:47:32,960 --> 00:47:36,239
Speaker 1: I think of Blues Brothers. Yeah that too, and that

803
00:47:36,320 --> 00:47:40,760
Speaker 1: was that was probably Slacker was probably stolen from that anyway,

804
00:47:40,920 --> 00:47:43,680
Speaker 1: did they use a cop car and slacker? No, it's

805
00:47:43,719 --> 00:47:45,640
Speaker 1: at the very beginning of slacker. There's this guy. Actually,

806
00:47:45,680 --> 00:47:47,080
Speaker 1: he probably in Steel because I think it was a

807
00:47:47,120 --> 00:47:49,319
Speaker 1: real dude in Austin that would just drive around sort

808
00:47:49,360 --> 00:47:53,160
Speaker 1: of preaching to the masses from inside of his car. Uh.

809
00:47:53,360 --> 00:47:56,040
Speaker 1: But we need that guy right now to get people

810
00:47:56,080 --> 00:47:58,040
Speaker 1: in their houses. Man. It's it's like it's a couple

811
00:47:58,080 --> 00:48:01,239
Speaker 1: of weeks. Just do it. Just it. It's it's easy,

812
00:48:01,320 --> 00:48:03,719
Speaker 1: especially for two guys who can continue to work from

813
00:48:03,800 --> 00:48:07,520
Speaker 1: home to say that. So I don't I don't want

814
00:48:07,640 --> 00:48:11,960
Speaker 1: to give the impression that we don't have any sympathy

815
00:48:12,040 --> 00:48:14,439
Speaker 1: and our hearts don't go out to people who who

816
00:48:14,480 --> 00:48:16,680
Speaker 1: do work at those bars and restaurants and need that

817
00:48:16,719 --> 00:48:19,319
Speaker 1: money to survive. And so staying at home, and if

818
00:48:19,360 --> 00:48:23,360
Speaker 1: everybody else stays at home like really deeply affects their

819
00:48:23,440 --> 00:48:27,560
Speaker 1: potential to hang in there and survive. Like like that's

820
00:48:27,560 --> 00:48:30,440
Speaker 1: not lost on us, That's not lost on anybody, I

821
00:48:30,480 --> 00:48:33,520
Speaker 1: don't think. And I think the thing that is the

822
00:48:33,520 --> 00:48:37,439
Speaker 1: most blood boiling or people who who are going out

823
00:48:37,600 --> 00:48:41,800
Speaker 1: and like not doing anything that that has any economic impact,

824
00:48:41,840 --> 00:48:45,600
Speaker 1: they're just being jerks. They're like playing basketball, or they're

825
00:48:46,239 --> 00:48:49,759
Speaker 1: just going to the beach, you know, like like that

826
00:48:49,880 --> 00:48:53,760
Speaker 1: kind of stuff is what drives me the most crazy. Yeah,

827
00:48:54,000 --> 00:48:56,839
Speaker 1: just knock it off. Um it had. The heartening thing

828
00:48:56,880 --> 00:48:59,680
Speaker 1: to see has been how many people are stepping up

829
00:48:59,719 --> 00:49:04,560
Speaker 1: to uh contribute to their local favorite restaurants and bars,

830
00:49:05,360 --> 00:49:09,040
Speaker 1: whether it's a go fund me or supporting their curbside pickups,

831
00:49:09,280 --> 00:49:15,799
Speaker 1: or or just then mowing your favorite uh server some money. Um,

832
00:49:15,880 --> 00:49:17,919
Speaker 1: that's happening all over the place to try and keep

833
00:49:17,960 --> 00:49:21,120
Speaker 1: people solvent while this is going on. But the big

834
00:49:21,160 --> 00:49:24,440
Speaker 1: picture is if we don't do this now, it's just

835
00:49:24,480 --> 00:49:27,040
Speaker 1: going to be more drawn out and people are going

836
00:49:27,120 --> 00:49:31,200
Speaker 1: to be more affected economically. Um, So the right thing

837
00:49:31,239 --> 00:49:33,160
Speaker 1: to do is just to shut it down for a

838
00:49:33,200 --> 00:49:37,360
Speaker 1: little while. That I mean, from everything I've seen, what

839
00:49:37,480 --> 00:49:41,200
Speaker 1: we're doing now, this kind of half hearted approach to

840
00:49:41,680 --> 00:49:45,719
Speaker 1: social distancing and quarantining. Like we're getting all of the

841
00:49:45,840 --> 00:49:50,240
Speaker 1: negative economic effects but little to none of the public

842
00:49:50,280 --> 00:49:53,200
Speaker 1: health benefits. So we're doing it in the exact possible

843
00:49:53,200 --> 00:49:57,279
Speaker 1: worst way right now. Yeah. I saw one doctor say

844
00:49:57,320 --> 00:50:01,319
Speaker 1: that if you could literally just a pause button. Yeah,

845
00:50:01,800 --> 00:50:04,399
Speaker 1: in the United States right now, there would be no

846
00:50:04,480 --> 00:50:07,200
Speaker 1: COVID nineteen in two weeks. Yeah, if we could freeze

847
00:50:07,239 --> 00:50:11,840
Speaker 1: everybody just six ft apart for fourteen days, the virus

848
00:50:11,880 --> 00:50:14,120
Speaker 1: would stop in its tracks. And we've seen this is

849
00:50:14,160 --> 00:50:17,960
Speaker 1: the thing. This isn't like conjecture, This isn't philosophy or

850
00:50:18,040 --> 00:50:22,160
Speaker 1: modeling or anything like that. This is based on what

851
00:50:22,239 --> 00:50:26,760
Speaker 1: we've seen in other countries like Singapore, Hong Kong, UM, China,

852
00:50:26,840 --> 00:50:30,960
Speaker 1: even UM Japan has done a really good job of

853
00:50:31,200 --> 00:50:35,840
Speaker 1: quarantining where they have they've they've basically figured out the

854
00:50:35,840 --> 00:50:40,879
Speaker 1: way to contain this is extensive and widespread testing for

855
00:50:40,960 --> 00:50:47,920
Speaker 1: the disease and then really strict and um uh really

856
00:50:47,960 --> 00:50:52,120
Speaker 1: well followed and meticulous social distancing and quarantining people taking

857
00:50:52,120 --> 00:50:54,440
Speaker 1: it seriously so that you can test the people to

858
00:50:54,480 --> 00:50:58,200
Speaker 1: see who have it um and and and isolate them,

859
00:50:58,360 --> 00:51:01,479
Speaker 1: quarantine them, treat them to keep them away from everybody else,

860
00:51:01,760 --> 00:51:05,319
Speaker 1: and test other people as as time goes on, so

861
00:51:05,360 --> 00:51:09,200
Speaker 1: that you can have people living a normal life because

862
00:51:09,239 --> 00:51:11,319
Speaker 1: they're not sick, and the people who are sick have

863
00:51:11,440 --> 00:51:15,000
Speaker 1: been identified and are being quarantined and isolated while they're

864
00:51:15,000 --> 00:51:18,799
Speaker 1: being treated. Yeah, I mean, it's it's very easy to

865
00:51:18,800 --> 00:51:20,719
Speaker 1: look at a place like Singapore and look at a

866
00:51:20,760 --> 00:51:23,920
Speaker 1: country like Italy, Um, who did not do it right

867
00:51:24,040 --> 00:51:28,120
Speaker 1: In America. Italy was just before us. UM. These are

868
00:51:28,120 --> 00:51:30,680
Speaker 1: two great examples of the difference that this can make.

869
00:51:31,440 --> 00:51:34,520
Speaker 1: As of today, Singapore has five and fifty eight cases,

870
00:51:35,160 --> 00:51:38,400
Speaker 1: and despite that, I just saw a new announcement today

871
00:51:38,440 --> 00:51:43,080
Speaker 1: that they are closing schools and closing entertainment venues just

872
00:51:43,160 --> 00:51:45,560
Speaker 1: because they're really trying to be super proactive and get

873
00:51:45,560 --> 00:51:48,680
Speaker 1: out in front of it. UM. Italy the infection the

874
00:51:48,680 --> 00:51:54,520
Speaker 1: infection rate was almost nothing throughout February, and then in

875
00:51:54,600 --> 00:51:58,400
Speaker 1: March it spiked to twenty five thousand new cases a

876
00:51:58,440 --> 00:52:05,040
Speaker 1: week two weeks later. This is uh, these are numbers

877
00:52:05,080 --> 00:52:08,799
Speaker 1: that should speak for themselves and you shouldn't have to

878
00:52:08,800 --> 00:52:11,640
Speaker 1: talk people into social distancing. Yet here we are, you

879
00:52:11,680 --> 00:52:17,080
Speaker 1: know it is. It's saddening. Um. The one other problem,

880
00:52:17,280 --> 00:52:20,520
Speaker 1: or I guess the big problem again is the idea

881
00:52:20,600 --> 00:52:23,319
Speaker 1: that if a lot of people become sick, if you

882
00:52:23,400 --> 00:52:25,840
Speaker 1: have a spike in cases like Italy saw, where it

883
00:52:25,880 --> 00:52:28,640
Speaker 1: suddenly goes up to twenty five thousand new cases a week,

884
00:52:29,080 --> 00:52:31,680
Speaker 1: a lot of those people have to be hospitalized, and

885
00:52:31,719 --> 00:52:35,439
Speaker 1: it stretches and over taxes and eventually overwhelms the health

886
00:52:35,440 --> 00:52:38,160
Speaker 1: care structure in the in in the country, and in

887
00:52:38,200 --> 00:52:41,439
Speaker 1: the United States, like every town has a brand new,

888
00:52:41,480 --> 00:52:44,839
Speaker 1: gleaming hospital and lots of doctors. But it turns out

889
00:52:44,840 --> 00:52:47,719
Speaker 1: if you look at the statistics, the United States has

890
00:52:47,840 --> 00:52:52,960
Speaker 1: a paltry number of hospital beds per one thousand people. Um,

891
00:52:53,000 --> 00:52:56,840
Speaker 1: we have two point eight hospital beds per one thousand people,

892
00:52:57,040 --> 00:52:59,840
Speaker 1: which even sounds small, but if you put it in context,

893
00:53:00,360 --> 00:53:04,200
Speaker 1: really small. Um. Japan and Korea have the most. They

894
00:53:04,239 --> 00:53:07,959
Speaker 1: have thirteen point one and twelve point three hospital beds

895
00:53:07,960 --> 00:53:11,520
Speaker 1: per thousand people. Next is Russia at eight point one,

896
00:53:11,640 --> 00:53:14,080
Speaker 1: in Germany at eight point oh, and then you go

897
00:53:14,719 --> 00:53:17,319
Speaker 1: there's a lot of countries in between Germany and the

898
00:53:17,400 --> 00:53:20,120
Speaker 1: United States, which finally pops up with two point eight

899
00:53:20,160 --> 00:53:23,480
Speaker 1: hospital beds per one thou people. The problem is that's

900
00:53:23,560 --> 00:53:26,120
Speaker 1: just hospital beds. That's just a bed to put people,

901
00:53:26,160 --> 00:53:29,480
Speaker 1: and that's not specialized hospital beds, like people with a

902
00:53:29,560 --> 00:53:32,640
Speaker 1: bad case of COVID nineteen frequently need like an I

903
00:53:32,760 --> 00:53:36,040
Speaker 1: see you bed, And so already in the United States,

904
00:53:36,320 --> 00:53:40,120
Speaker 1: in hard hit areas like New York, we're starting to see, um,

905
00:53:40,160 --> 00:53:43,879
Speaker 1: I see you rooms that were meant to hold one

906
00:53:43,960 --> 00:53:47,840
Speaker 1: patient starting to be tripled and quadrupled up with patients

907
00:53:47,840 --> 00:53:51,520
Speaker 1: who all have COVID nineteen um, and just to just

908
00:53:51,560 --> 00:53:55,719
Speaker 1: to try to give them the the advanced level of

909
00:53:55,760 --> 00:54:00,920
Speaker 1: care that they need. Um, because we don't have enough beds.

910
00:54:01,120 --> 00:54:06,239
Speaker 1: And so that's why that that not social distancing. Why

911
00:54:06,520 --> 00:54:09,080
Speaker 1: just going out and carrying on like nothing's going on

912
00:54:09,600 --> 00:54:12,440
Speaker 1: is just such a ridiculously arrogant thing to do at

913
00:54:12,440 --> 00:54:16,760
Speaker 1: a time like this. Yeah, And I feel like every

914
00:54:16,840 --> 00:54:20,560
Speaker 1: day it's gotten a little bit better. Um, Like you

915
00:54:20,640 --> 00:54:27,160
Speaker 1: really have to be pretty uh selfish and um, what's

916
00:54:27,200 --> 00:54:29,960
Speaker 1: the word. There's a word that I can't say on

917
00:54:30,000 --> 00:54:33,400
Speaker 1: the air for when you've got a lot of gumption

918
00:54:33,480 --> 00:54:37,960
Speaker 1: to do something despite everyone's saying you shouldn't. Guts not

919
00:54:38,000 --> 00:54:42,000
Speaker 1: guts because that impites bravery. Nerve there you go. Yeah,

920
00:54:42,200 --> 00:54:44,400
Speaker 1: Like as of today when we're recording this, which is

921
00:54:44,400 --> 00:54:47,719
Speaker 1: two days before release, if you're still out doing things

922
00:54:47,760 --> 00:54:50,840
Speaker 1: like that now, then you really have got a special

923
00:54:50,880 --> 00:54:55,319
Speaker 1: brand of nerve. Yeah. And and and conversely too, we

924
00:54:55,360 --> 00:54:59,640
Speaker 1: should point out to self quarantine is a gift. That's

925
00:54:59,640 --> 00:55:02,480
Speaker 1: a gift you're giving other people. Nobody's telling there's no

926
00:55:02,520 --> 00:55:04,439
Speaker 1: martial law, you're not going to be shot on site

927
00:55:04,520 --> 00:55:06,440
Speaker 1: or arrested or whatever if you leave your house if

928
00:55:06,480 --> 00:55:09,840
Speaker 1: you've been exposed to COVID nineteen. But the official guidelines

929
00:55:09,880 --> 00:55:12,239
Speaker 1: from the CDC and the World Health Organization is, if

930
00:55:12,280 --> 00:55:15,400
Speaker 1: you know you've been around somebody who has tested positive

931
00:55:15,440 --> 00:55:18,960
Speaker 1: for COVID nineteen, they ask you to self quarantine for

932
00:55:19,040 --> 00:55:22,400
Speaker 1: fourteen days, because fourteen days is the longest as far

933
00:55:22,440 --> 00:55:24,719
Speaker 1: as we know that it takes for symptoms to show up.

934
00:55:24,719 --> 00:55:28,000
Speaker 1: That's why people are counting down fourteen days. Right. So

935
00:55:28,040 --> 00:55:31,120
Speaker 1: if you hang out by yourself, isolated away from everybody

936
00:55:31,120 --> 00:55:34,400
Speaker 1: else like you were doing for fourteen days, and you

937
00:55:34,440 --> 00:55:36,839
Speaker 1: don't get sick, you don't have COVID and you're not

938
00:55:36,880 --> 00:55:39,640
Speaker 1: spreading it, you're not you're not a risk factor any longer.

939
00:55:39,960 --> 00:55:43,520
Speaker 1: So but to to stop your life and to say

940
00:55:43,680 --> 00:55:46,040
Speaker 1: I'm not going outside because i don't want to risk

941
00:55:46,440 --> 00:55:49,600
Speaker 1: other people getting sick because I'm not sure if I

942
00:55:49,640 --> 00:55:52,000
Speaker 1: have it or not, that is an enormous gift to

943
00:55:52,040 --> 00:55:54,799
Speaker 1: give to people. And I mean, it's what you did. Um.

944
00:55:54,880 --> 00:55:57,920
Speaker 1: My friends Mitch and Patrick, you know dirty Mitch from

945
00:55:57,920 --> 00:56:02,759
Speaker 1: the scabies episode. He he and his husband Patrick were

946
00:56:02,920 --> 00:56:05,440
Speaker 1: um exposed to somebody with COVID nineteen. They have no

947
00:56:05,520 --> 00:56:07,000
Speaker 1: idea if they had it or not. But the first

948
00:56:07,000 --> 00:56:09,880
Speaker 1: thing they did was self quarantine, and they just committed

949
00:56:09,920 --> 00:56:13,480
Speaker 1: to giving up fourteen days of their life of going outside,

950
00:56:13,480 --> 00:56:16,640
Speaker 1: of interacting with other people, of doing whatever, just because

951
00:56:16,680 --> 00:56:19,840
Speaker 1: they didn't know, in part because testing is not widely

952
00:56:19,880 --> 00:56:22,600
Speaker 1: available in the United States. So this is the alternative.

953
00:56:22,719 --> 00:56:26,600
Speaker 1: It's on It's on us to to make that decision

954
00:56:26,640 --> 00:56:28,560
Speaker 1: in that choice, and it is a really kind thing

955
00:56:28,640 --> 00:56:32,319
Speaker 1: to do. So hats off to YouTube Chuck for doing that. Well,

956
00:56:32,440 --> 00:56:34,880
Speaker 1: hats off to everyone doing the right thing. Um, and

957
00:56:34,920 --> 00:56:36,759
Speaker 1: you're right, unless you're rich and famous, it can be

958
00:56:36,800 --> 00:56:39,560
Speaker 1: hard to get a test right now, which is another problem.

959
00:56:39,560 --> 00:56:43,520
Speaker 1: But we're not going to go down that rabbit hole either. Uh. Well,

960
00:56:43,520 --> 00:56:45,160
Speaker 1: we've been at it for close to an hour. Maybe

961
00:56:45,200 --> 00:56:50,320
Speaker 1: let's wrap up with some talk of vaccine. Um. Obviously,

962
00:56:50,320 --> 00:56:54,279
Speaker 1: a vaccine is the ultimate end goal for all this.

963
00:56:55,080 --> 00:56:57,480
Speaker 1: There are a lot of organizations working all over the

964
00:56:57,520 --> 00:57:02,480
Speaker 1: world rapidly trying to develop and test vaccines. The National

965
00:57:02,480 --> 00:57:06,640
Speaker 1: Institute of Health, Walter Reid, Army Institute of Research, and

966
00:57:06,840 --> 00:57:13,360
Speaker 1: countless others are trying. Um. They apparently there. The government

967
00:57:13,400 --> 00:57:14,840
Speaker 1: is trying to cut a lot of red tape to

968
00:57:14,880 --> 00:57:17,480
Speaker 1: speed things up, but it's still has to go through

969
00:57:17,480 --> 00:57:21,840
Speaker 1: clinical trials. You can't just rush rush something to market,

970
00:57:21,880 --> 00:57:24,880
Speaker 1: as much as everyone would like that, and it could

971
00:57:24,880 --> 00:57:26,800
Speaker 1: take a long time, could take up to a year

972
00:57:27,320 --> 00:57:29,560
Speaker 1: to get results of these trials. I saw that the

973
00:57:29,680 --> 00:57:33,400
Speaker 1: NIH vaccine trials could could be in full swing by

974
00:57:33,480 --> 00:57:37,240
Speaker 1: the fall. UM and that one has promised UM the

975
00:57:37,640 --> 00:57:41,000
Speaker 1: m A m RNA DASH twelve seven three because it

976
00:57:41,080 --> 00:57:43,640
Speaker 1: was being developed for MERS, so they kind of had

977
00:57:43,680 --> 00:57:47,000
Speaker 1: a head start. Remember, MERS is a type of novel coronavirus,

978
00:57:47,080 --> 00:57:50,080
Speaker 1: so they're like, this might work for this UM this

979
00:57:50,280 --> 00:57:54,520
Speaker 1: stars Cove two coronavirus. Will we'll find out UM, So

980
00:57:54,560 --> 00:57:58,600
Speaker 1: hopefully by the fall that one might be UM just banging,

981
00:57:58,800 --> 00:58:06,160
Speaker 1: who knows, that's what we need as a banging, robust vaccine.

982
00:58:06,760 --> 00:58:10,560
Speaker 1: Lots of chains, gold chains, and I swagger to it,

983
00:58:10,840 --> 00:58:14,120
Speaker 1: just banging. Yeah, and I and I don't think this

984
00:58:14,200 --> 00:58:16,560
Speaker 1: is getting too political, although it is a little bit.

985
00:58:16,600 --> 00:58:19,080
Speaker 1: But I just did a little last minute research and

986
00:58:19,080 --> 00:58:22,320
Speaker 1: found out, you know, there's this drug called what's the

987
00:58:22,400 --> 00:58:30,120
Speaker 1: name of it, no uh rim desivere. So this is

988
00:58:30,160 --> 00:58:33,000
Speaker 1: not um f D A approof for COVID nineteen. It's

989
00:58:33,000 --> 00:58:35,840
Speaker 1: still got to go through the clinical trials, but it

990
00:58:35,920 --> 00:58:39,480
Speaker 1: has been used as an emergency emergency measure to treat

991
00:58:39,840 --> 00:58:44,480
Speaker 1: a couple of cases seemingly effectively. Uh. And they're expecting

992
00:58:44,560 --> 00:58:47,760
Speaker 1: some results from a trial in April. Uh. And I

993
00:58:47,840 --> 00:58:50,040
Speaker 1: just learned yesterday. I just kind of dug into, uh

994
00:58:50,280 --> 00:58:54,080
Speaker 1: this this drug. Yesterday the f d A granted the

995
00:58:54,120 --> 00:58:58,200
Speaker 1: company who makes a Guilelead Sciences UM orphan drug status.

996
00:58:58,800 --> 00:59:01,360
Speaker 1: And this is from the nineteen eight three Orphan Drug Act,

997
00:59:01,440 --> 00:59:06,680
Speaker 1: which is meant for rare diseases only. UM. Coronavirus or

998
00:59:06,800 --> 00:59:09,960
Speaker 1: COVID nineteen is obviously not it's speeding up to not

999
00:59:10,080 --> 00:59:13,560
Speaker 1: be a rare disease. But there's a little loophole in

1000
00:59:13,640 --> 00:59:18,720
Speaker 1: that Orphan Drug Act if you get exclusivity, which is

1001
00:59:18,760 --> 00:59:23,040
Speaker 1: what happened. They granted them exclusivity, uh, for to profit

1002
00:59:23,160 --> 00:59:26,200
Speaker 1: exclusively for seven years on this drug. If you if

1003
00:59:26,240 --> 00:59:29,080
Speaker 1: you get that in and that designation in before it

1004
00:59:29,160 --> 00:59:32,280
Speaker 1: hits that two hundred thousand person threshold, which means it's

1005
00:59:32,280 --> 00:59:35,520
Speaker 1: not a rare disease anymore, then it sticks. And so

1006
00:59:35,760 --> 00:59:39,920
Speaker 1: yesterday the FDA granted Gilly Head Sciences Um exclusivity for

1007
00:59:40,000 --> 00:59:43,640
Speaker 1: seven years, which obviously the fear there is that it

1008
00:59:43,680 --> 00:59:46,160
Speaker 1: could lead to a block on supplies for generic versions.

1009
00:59:46,200 --> 00:59:49,440
Speaker 1: It could be super expensive. And at the end of

1010
00:59:49,480 --> 00:59:51,200
Speaker 1: this article that I read, I found out that a

1011
00:59:51,240 --> 00:59:53,919
Speaker 1: man named Joe Grogan, who serves on the White House

1012
00:59:54,000 --> 00:59:57,960
Speaker 1: Task Force for Coronavirus Um, lobbied for gilly Head Sciences

1013
00:59:58,000 --> 01:00:02,600
Speaker 1: from two thousand eleven to two thousands seventeen, which is

1014
01:00:02,640 --> 01:00:05,400
Speaker 1: always a little bit concerning. And these are the guys

1015
01:00:05,480 --> 01:00:07,800
Speaker 1: who have come up with an anti viral drug that

1016
01:00:07,880 --> 01:00:11,680
Speaker 1: has shown promise to treat COVID nineteen. That's right, and

1017
01:00:11,760 --> 01:00:13,800
Speaker 1: they have now as of yesterday, been granted that seven

1018
01:00:13,880 --> 01:00:18,160
Speaker 1: year window to profit exclusively UM and block potentially block

1019
01:00:18,320 --> 01:00:22,000
Speaker 1: generic suppliers for making this. And here's the real kicker,

1020
01:00:22,400 --> 01:00:25,680
Speaker 1: here's the cherry on the rotten cherry on top, is

1021
01:00:25,840 --> 01:00:29,480
Speaker 1: that they were developing this for ebola, so it was

1022
01:00:29,560 --> 01:00:34,760
Speaker 1: developed with seventy nine million dollars of taxpayer money and

1023
01:00:34,920 --> 01:00:38,240
Speaker 1: now they have been granted exclusive status for seven years.

1024
01:00:39,320 --> 01:00:41,840
Speaker 1: That's almost as much of a bedtime story as hearing

1025
01:00:41,880 --> 01:00:45,000
Speaker 1: about senators who were briefed about the pandemic and then

1026
01:00:45,040 --> 01:00:47,600
Speaker 1: went and sold all of their um, sold a bunch

1027
01:00:47,640 --> 01:00:51,160
Speaker 1: of stock before the stock market crashed without telling anybody

1028
01:00:51,200 --> 01:00:54,880
Speaker 1: about it, while also downplaying the pandemic too. Yeah, send

1029
01:00:54,920 --> 01:00:58,040
Speaker 1: them to jail, Send them to jail. There was a

1030
01:00:58,120 --> 01:01:01,479
Speaker 1: time in this country, it wasn't long ago, were people

1031
01:01:01,520 --> 01:01:05,440
Speaker 1: who did that were stripped of any honor. We're basically

1032
01:01:05,560 --> 01:01:09,240
Speaker 1: drummed out of out of town on a rail by

1033
01:01:09,360 --> 01:01:15,120
Speaker 1: irate citizens. There was a time in this country. So man,

1034
01:01:15,960 --> 01:01:18,320
Speaker 1: that was Grandpa Clark all the way. It's right, I

1035
01:01:18,440 --> 01:01:22,680
Speaker 1: suddenly just grew um patches on my elbows. They think

1036
01:01:22,840 --> 01:01:26,960
Speaker 1: cardigans about a sprout out of him. Team. Before we

1037
01:01:27,040 --> 01:01:29,400
Speaker 1: wrap up, I would like just to know your biggest

1038
01:01:29,480 --> 01:01:34,280
Speaker 1: fear and all this, what has been your biggest fear? Um?

1039
01:01:35,960 --> 01:01:39,200
Speaker 1: Loved ones dying? That's my that's my biggest fear, um.

1040
01:01:39,920 --> 01:01:43,000
Speaker 1: I think you know, economics is a huge one. I'm

1041
01:01:43,040 --> 01:01:45,800
Speaker 1: I'm really scared about that in the long lasting effects

1042
01:01:45,880 --> 01:01:49,680
Speaker 1: people losing their jobs and and just the setbacks that

1043
01:01:49,800 --> 01:01:54,640
Speaker 1: comes from that. But ultimately people, people, people I love

1044
01:01:54,680 --> 01:01:59,880
Speaker 1: and care about, dying, especially unnecessarily, you know, like the

1045
01:02:00,040 --> 01:02:03,360
Speaker 1: idea that that we could have done some things differently

1046
01:02:03,480 --> 01:02:06,320
Speaker 1: and there would have been abundant medical care. That's that's

1047
01:02:06,400 --> 01:02:10,640
Speaker 1: my greatest fear. What about yours, Well, I've seen in

1048
01:02:10,760 --> 01:02:15,600
Speaker 1: too many movies about like domino effect type things, so

1049
01:02:15,760 --> 01:02:18,240
Speaker 1: my I mean obviously worried about friends and loved ones,

1050
01:02:18,800 --> 01:02:22,520
Speaker 1: But my biggest fear has been worst case scenarios, which

1051
01:02:22,640 --> 01:02:29,440
Speaker 1: is everything from uh, the U. S. Military getting a

1052
01:02:29,560 --> 01:02:33,840
Speaker 1: large outbreak and somebody like I don't know, another hostile

1053
01:02:33,920 --> 01:02:37,400
Speaker 1: country saying, now's a great chance. Jeez, Chuck, I didn't

1054
01:02:37,400 --> 01:02:42,600
Speaker 1: even thought about that, or um medical personnel or police forces,

1055
01:02:43,640 --> 01:02:49,240
Speaker 1: um things getting disrupted so much with our health professionals,

1056
01:02:49,440 --> 01:02:52,200
Speaker 1: or are people who keep us safe that that things

1057
01:02:52,320 --> 01:02:55,640
Speaker 1: become really scary on a citizen level. So like people

1058
01:02:55,720 --> 01:02:59,720
Speaker 1: are what scare me? Yeah, and it becoming like the

1059
01:03:00,080 --> 01:03:03,240
Speaker 1: urge or something like that, Right, that's what scares me.

1060
01:03:03,480 --> 01:03:05,400
Speaker 1: That's great, that's great. That was a good one to

1061
01:03:05,560 --> 01:03:08,080
Speaker 1: end on, Chuck, because I mean, the whole reason this

1062
01:03:08,200 --> 01:03:11,200
Speaker 1: episode was to reassure people and then just pull the

1063
01:03:11,280 --> 01:03:13,240
Speaker 1: rug right out from under him at the last minute.

1064
01:03:13,800 --> 01:03:17,040
Speaker 1: But you know what, Having said that, I'm always consistently

1065
01:03:17,320 --> 01:03:20,800
Speaker 1: reminded of the ability and the will of not only

1066
01:03:20,840 --> 01:03:23,760
Speaker 1: Americans but human beings to do the right thing, and

1067
01:03:24,080 --> 01:03:27,080
Speaker 1: the vast, vast majority of people will come together and

1068
01:03:27,240 --> 01:03:31,480
Speaker 1: not um not going to attack mode. Yeah, I I

1069
01:03:31,600 --> 01:03:34,520
Speaker 1: totally I believe that. I think that that UM people

1070
01:03:34,600 --> 01:03:38,560
Speaker 1: are generally good overall, UM, And there are definitely bad

1071
01:03:38,600 --> 01:03:40,280
Speaker 1: people out there, but I think the good ones out

1072
01:03:40,400 --> 01:03:42,360
Speaker 1: number them, and when pushed against the wall, the good

1073
01:03:42,400 --> 01:03:46,920
Speaker 1: ones can fight back pretty effectively. Also Also, I mean

1074
01:03:47,000 --> 01:03:49,120
Speaker 1: that kind of raises another point too that I found.

1075
01:03:50,240 --> 01:03:52,480
Speaker 1: It's it's really easy to just kind of let your

1076
01:03:52,520 --> 01:03:55,960
Speaker 1: mind run away and focus on all of the terrible

1077
01:03:56,000 --> 01:03:58,280
Speaker 1: stuff that can happen or all of the terrible stuff

1078
01:03:58,280 --> 01:04:02,400
Speaker 1: that is happening, UM, and you kind of have to

1079
01:04:03,000 --> 01:04:06,320
Speaker 1: you have to exercise your mind to not do that.

1080
01:04:06,480 --> 01:04:08,320
Speaker 1: You have to stay on top of it and remind

1081
01:04:08,360 --> 01:04:12,080
Speaker 1: yourself that you can also just as easily think positively too,

1082
01:04:12,560 --> 01:04:14,600
Speaker 1: And you've got to try to do that in times

1083
01:04:14,680 --> 01:04:17,400
Speaker 1: like these, for sure, and in times like these that

1084
01:04:17,480 --> 01:04:19,480
Speaker 1: make it sound like this happens every couple of years

1085
01:04:19,600 --> 01:04:22,680
Speaker 1: or something like this is definitely monumental and historic and

1086
01:04:23,120 --> 01:04:27,960
Speaker 1: and once in a lifetime hopefully. Yeah. One other thing,

1087
01:04:28,040 --> 01:04:31,200
Speaker 1: if you think that you might have COVID nineteen, I

1088
01:04:31,320 --> 01:04:34,240
Speaker 1: found there's a self triage tool. UM. They say that

1089
01:04:34,320 --> 01:04:36,120
Speaker 1: if you think you have it, you should call your doctor,

1090
01:04:36,240 --> 01:04:38,880
Speaker 1: your hospital nine on one and and say I think

1091
01:04:38,920 --> 01:04:42,240
Speaker 1: I have COVID nineteen. There's an online tool now at

1092
01:04:42,440 --> 01:04:45,440
Speaker 1: g E h R C O V I D T

1093
01:04:45,760 --> 01:04:49,560
Speaker 1: R I A G E dot A K I D

1094
01:04:49,920 --> 01:04:53,960
Speaker 1: O L A B S dot com, gare COVID triage

1095
01:04:54,040 --> 01:04:57,400
Speaker 1: dot Akito labs dot com. And it's just basically a

1096
01:04:57,480 --> 01:05:00,360
Speaker 1: questionnaire that says, hey, this isn't a diagnosed this, but

1097
01:05:01,120 --> 01:05:05,120
Speaker 1: this might this might give you clearer, um, a clear

1098
01:05:05,200 --> 01:05:07,320
Speaker 1: view into whether you're just sitting there freaking yourself out

1099
01:05:07,440 --> 01:05:09,520
Speaker 1: or else. If this this is actually something you might

1100
01:05:09,560 --> 01:05:13,080
Speaker 1: need to call your doctor or your hospital about. Right.

1101
01:05:13,680 --> 01:05:16,560
Speaker 1: Good stuff. Uh, And hopefully all of this will be

1102
01:05:17,320 --> 01:05:22,200
Speaker 1: a weird distant memory not too far from now. And

1103
01:05:22,240 --> 01:05:27,320
Speaker 1: since I said that it's time for a listener mail, yeah,

1104
01:05:27,400 --> 01:05:29,560
Speaker 1: you know what I think. Instead of listener mail on

1105
01:05:29,640 --> 01:05:32,200
Speaker 1: this one, let's just encourage people to be kind of

1106
01:05:32,240 --> 01:05:36,680
Speaker 1: one another, be cautious, be smart, UM, help out someone

1107
01:05:36,720 --> 01:05:39,880
Speaker 1: in need if you can, and just hang in there.

1108
01:05:40,040 --> 01:05:42,360
Speaker 1: I know we have listeners right now that that have

1109
01:05:42,520 --> 01:05:46,280
Speaker 1: COVID nineteen. UM. Statistically that's uh, that's just got to

1110
01:05:46,280 --> 01:05:49,000
Speaker 1: be the case. So be well and please take care

1111
01:05:49,040 --> 01:05:53,920
Speaker 1: of one another. Yep, and think positive. Everybody think positive. Right.

1112
01:05:53,960 --> 01:05:55,400
Speaker 1: If you want to get in touch of this while

1113
01:05:55,400 --> 01:05:59,560
Speaker 1: you're hanging out socially distancing, being responsible, you can send

1114
01:05:59,640 --> 01:06:01,640
Speaker 1: us an e mail. You can wrap it up, spank

1115
01:06:01,680 --> 01:06:04,320
Speaker 1: it on the bottom, maybe wipe it off with some

1116
01:06:04,480 --> 01:06:07,840
Speaker 1: lightsol wipes or something first, and send it to Stuff

1117
01:06:07,880 --> 01:06:14,200
Speaker 1: podcast at iHeart radio dot com. Stuff you Should Know

1118
01:06:14,320 --> 01:06:16,760
Speaker 1: is a production of iHeart Radio's How Stuff Works. For

1119
01:06:16,840 --> 01:06:19,479
Speaker 1: more podcasts for my heart Radio, visit the iHeart Radio app,

1120
01:06:19,560 --> 01:06:22,200
Speaker 1: Apple Podcasts, or wherever you listen to your favorite shows.

1121
01:06:25,360 --> 01:06:25,400
Speaker 1: H