Real Coffee with Scott Adams - Episode 1082 Scott Adams： Beirut, Biden, Rapid Testing Option, Tik Tok Sale to Microsoft, Ranking Pandemic Leadership by Country

00:00:00.000 Bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum. 0.98

00:00:05.080 You're probably thinking to yourself, hey, or is he? He's late.

00:00:10.240 Well, it's because I'm trying to solve the world's problems here, and sometimes that takes more than three minutes.

00:00:16.820 So if you don't mind, I'm going to print out my show notes.

00:00:22.460 While we get ready, and everybody's pouring in for the best part of the day.

00:00:27.980 Yeah.

00:00:29.340 Best part of the day.

00:00:30.560 It's coming up.

00:00:32.300 And it doesn't take much, does it?

00:00:35.740 It doesn't take much.

00:00:37.380 All you need is a cup or mug or a glass, a tank or chelter's tie,

00:00:41.620 and a canteen jug or flask, a vessel of any kind.

00:00:46.140 Sorry I made you wait.

00:00:47.940 Were you worried?

00:00:49.860 So, I like coffee.

00:00:53.720 Okay, join me now for the dopamine hit of the day.

00:00:58.360 The thing that makes everything better, it's called the simultaneous sip.

00:01:01.580 And it happens now.

00:01:03.200 Go.

00:01:06.800 Ah.

00:01:08.460 So good.

00:01:09.560 Stay right there.

00:01:10.440 Hold on.

00:01:11.440 Hold on.

00:01:12.560 Don't go anywhere.

00:01:14.700 Here I am.

00:01:15.780 All right.

00:01:16.980 There we go.

00:01:17.780 So, the biggest news, I would have to think, is that explosion in Beirut.

00:01:24.540 You've all seen the video by now.

00:01:27.700 Holy whatever.

00:01:31.020 That is some scary stuff.

00:01:34.140 I've never seen anything quite like it.

00:01:36.820 And I'll bet all of you have the same feeling I did,

00:01:40.960 which is you're trying to decide if you're a good person

00:01:44.820 because you can't stop watching that explosion

00:01:48.420 because it's really quite a spectacle.

00:01:50.500 At the same time, you know that people are dying at that moment.

00:01:54.620 And you're thinking to yourself,

00:01:55.960 how many times can I watch this video for entertainment

00:01:59.460 before I'm actually the devil?

00:02:02.320 You know, it's a sensitive situation.

00:02:07.740 So, what are we going to learn about this?

00:02:10.920 The first thing I will tell you

00:02:12.300 is that whatever we eventually learn about this

00:02:15.460 is probably wrong.

00:02:17.580 It's probably just fake.

00:02:19.820 I feel as though this is in the class of stories

00:02:23.740 that you're just never going to know what happened.

00:02:26.820 There might be an official story.

00:02:29.080 There might be one that even all the governments agree.

00:02:33.080 But I feel like we're not really going to know the story here.

00:02:36.280 Sort of, ever.

00:02:38.120 But here are some things we do know.

00:02:41.320 It's almost certainly that this was the chemical,

00:02:45.540 what was it, ammonium nitrate,

00:02:47.860 which I believe is the same stuff that Tim McVeigh used.

00:02:53.660 And it's a known amateur bomb material.

00:02:58.000 Now, if an area that's Hezbollah, 0.98

00:03:03.800 is Hezbollah controlled or just Hezbollah heavy,

00:03:08.120 if they've got enough of this sitting in a warehouse

00:03:10.980 to destroy much of the city of Beirut,

00:03:17.240 and apparently one of the customs people was aware of it,

00:03:21.700 and a customs person, you may not have heard this yet,

00:03:24.260 but I just saw it a moment ago.

00:03:26.140 Apparently he had, in the past,

00:03:27.980 sent six different memos to the judiciary officials

00:03:31.140 warning that there was a dangerous substance

00:03:33.700 that could explode.

00:03:35.900 So the government had been warned

00:03:37.780 at least six times

00:03:39.680 by somebody who knew what he was talking about

00:03:42.020 and knew it was there,

00:03:43.080 and they decided not to act.

00:03:46.480 Does that tell you anything?

00:03:48.540 Not necessarily,

00:03:49.380 because it could be just a bureaucratic thing.

00:03:53.360 It could have been they didn't know what to do with it.

00:03:55.680 It could have been they had plans to do something with it later.

00:03:59.120 I think he was recommending that they export it.

00:04:02.500 In other words, basically sell it

00:04:04.160 because it probably had some value.

00:04:07.200 But you don't want to keep it that much in one place.

00:04:09.740 Now, in a related story,

00:04:13.980 the Jerusalem Post

00:04:15.440 is saying that Hezbollah kept it there.

00:04:20.060 So they're saying that it was Hezbollah

00:04:21.920 who was in charge of that ammonium nitrate.

00:04:25.620 But did you know

00:04:26.840 that in a storehouse in London,

00:04:31.400 until MI5 found it,

00:04:33.200 they also had a bunch of ammonium nitrate?

00:04:35.960 And did you know

00:04:37.460 that the Hezbollah also stored

00:04:41.240 hundreds of kilograms of it

00:04:42.960 in southern Germany

00:04:44.600 until that was uncovered?

00:04:47.360 Now, what does it mean to you

00:04:49.240 that massive amounts of this material,

00:04:53.100 which is, I think, in this context,

00:04:56.540 given the context was used for bombs,

00:04:59.340 is massively deployed all over the place?

00:05:03.220 Is there any doubt

00:05:04.880 that they were trying to blow up

00:05:06.600 a lot of stuff

00:05:07.380 that maybe you didn't want to get blown up?

00:05:10.320 So, I ask you this.

00:05:13.640 What are the odds

00:05:14.560 that that blew up on its own?

00:05:17.860 Do you think that Israel,

00:05:20.660 for example,

00:05:22.420 do you think that Israel was aware

00:05:24.120 that these chemicals were there?

00:05:27.800 Remember, MI5 found them in England.

00:05:32.140 Germany found them in Germany.

00:05:33.540 So, we know that, you know,

00:05:36.360 intelligence agencies can find this stuff.

00:05:39.940 And we know that

00:05:40.880 apparently it wasn't the biggest

00:05:43.660 kept secret in the world

00:05:44.820 because this customs guy in Lebanon

00:05:47.080 was asking them to get rid of it.

00:05:51.360 So, what are the odds

00:05:52.700 that Israel was aware

00:05:54.600 that there was a gigantic

00:05:56.180 facility of bomb-making material?

00:05:59.220 What were the odds

00:06:01.780 that they knew that?

00:06:03.640 Not zero, right?

00:06:06.280 We don't know,

00:06:07.140 but not zero.

00:06:09.320 There was certainly a good chance

00:06:10.780 they knew about it.

00:06:12.040 Now, what would be the chances

00:06:13.220 that Israel

00:06:14.580 would act on it

00:06:16.240 and, let's say,

00:06:17.420 do something to sabotage it

00:06:18.860 or blow it up

00:06:19.660 just to remove that future risk

00:06:23.740 from, you know,

00:06:25.740 ending up in Israel?

00:06:26.600 Because I don't know

00:06:27.840 how hard it would be

00:06:28.680 to ship this stuff

00:06:29.620 into Israel,

00:06:31.020 you know,

00:06:31.420 if they wanted to.

00:06:33.140 A little bit at a time,

00:06:35.480 but, you know,

00:06:36.620 where was it destined for?

00:06:38.540 And I ask you this,

00:06:41.640 would it be justified

00:06:42.940 for Israel to take it out 0.95

00:06:46.860 if they knew

00:06:47.920 that it was going to be

00:06:49.260 a big explosion

00:06:50.100 and the collateral damage

00:06:51.900 would be extensive?

00:06:53.360 Would it be justified?

00:06:56.000 It's a tough one, isn't it?

00:06:58.380 Kind of justified.

00:07:00.120 I'm not saying they did it

00:07:01.420 because there's some story

00:07:03.320 about somebody

00:07:04.000 welding a door shut

00:07:05.200 and, you know,

00:07:06.620 that seems at least

00:07:07.560 reasonably possible

00:07:09.160 that that was part

00:07:10.280 of the problem.

00:07:11.740 Yeah, I wouldn't rule that out.

00:07:13.240 I wouldn't rule out accident,

00:07:14.460 of course,

00:07:14.980 but would Israel

00:07:18.080 have a moral ability

00:07:20.480 to take that out?

00:07:22.340 Because here's my take on this.

00:07:25.080 This is way bigger

00:07:26.380 than just removing

00:07:28.060 some potential bomb material

00:07:29.600 from potential terrorist acts.

00:07:34.540 It's way bigger than that.

00:07:36.920 You're given the scope of it.

00:07:38.980 And I wonder what this does

00:07:41.660 to the psychology

00:07:42.620 of the Middle East.

00:07:43.540 If you wanted Hezbollah 1.00

00:07:46.060 to have a bloody nose forever

00:07:50.000 in its own backyard

00:07:51.480 so that it didn't look so good,

00:07:54.120 the best thing you could do

00:07:55.580 is have Hezbollah

00:07:56.640 responsible for destroying

00:07:58.120 the entire city of Beirut,

00:08:01.020 or much of it,

00:08:02.360 in the act of getting ready

00:08:03.920 to do a terrorist attack

00:08:05.160 on some other city.

00:08:07.280 Now, if this story

00:08:09.320 remains a Hezbollah error,

00:08:12.500 it doesn't matter

00:08:14.720 who blew it up

00:08:15.680 in a sense.

00:08:18.620 I'm not saying Israel

00:08:19.860 did or did not do anything.

00:08:21.880 I'm just saying

00:08:22.580 that we'll probably never know.

00:08:24.660 And it may actually change

00:08:27.820 how people feel

00:08:28.560 about Hezbollah.

00:08:29.760 So it might be

00:08:30.460 one of these events

00:08:32.040 that even though

00:08:33.220 it's an anecdote,

00:08:34.540 it's a one-off,

00:08:35.440 it's not really related

00:08:36.440 to any larger issue.

00:08:38.640 It seems like just

00:08:39.480 a tragedy in one place.

00:08:41.700 But the way we think

00:08:42.660 about this,

00:08:44.140 anecdotes and stories

00:08:45.840 are really persuasive.

00:08:48.300 And I've got a feeling

00:08:48.960 that the,

00:08:49.580 let's say,

00:08:51.380 support for Hezbollah

00:08:52.800 may take a permanent hit.

00:08:56.260 So we'll keep an eye on that.

00:08:58.520 The death toll,

00:08:59.540 they say,

00:08:59.860 is 100,

00:09:01.320 but lots of people missing.

00:09:03.540 And you probably have

00:09:04.560 the same reaction I did,

00:09:06.600 which is,

00:09:07.620 it's a lot more than 100.

00:09:09.340 I mean,

00:09:09.560 if you saw the damage,

00:09:12.620 I can't imagine

00:09:13.880 it's not in the thousands.

00:09:15.280 Can you?

00:09:16.480 I mean,

00:09:16.820 how could such an area

00:09:18.260 have so few people

00:09:19.740 who would die?

00:09:21.320 It's got to be

00:09:21.900 in the thousands.

00:09:25.040 Let's talk about

00:09:26.260 something else.

00:09:28.200 Did you all see

00:09:29.080 the video on Twitter

00:09:31.040 of the Portland protesters

00:09:33.680 trying to stop

00:09:34.720 a pickup truck

00:09:35.720 and it didn't go well?

00:09:38.760 So far,

00:09:39.760 of the genre

00:09:40.880 of protest things

00:09:43.160 that didn't go well

00:09:44.000 for protesters,

00:09:45.060 you know,

00:09:45.280 it's sort of a growing

00:09:46.200 body of work.

00:09:47.760 This might be my favorite.

00:09:49.880 Might be my favorite.

00:09:51.020 If you haven't seen it,

00:09:52.440 there's several angles to it

00:09:53.860 and only one of the angles

00:09:54.920 is fun.

00:09:56.340 The other angles

00:09:57.060 don't quite tell you

00:09:57.840 what's going on.

00:09:59.120 But essentially,

00:10:00.120 there's a pickup truck

00:10:01.200 that somehow

00:10:02.280 didn't look like

00:10:03.440 a good idea to me,

00:10:04.860 ended up in the middle

00:10:05.760 of the protest.

00:10:06.980 The protesters

00:10:07.940 tried to stop it

00:10:09.840 and one of the protesters

00:10:11.580 who was especially

00:10:12.760 bold,

00:10:14.380 shall we say bold?

00:10:16.020 We'll keep our insults

00:10:17.360 for later.

00:10:18.140 Let's call him bold.

00:10:19.760 He comes up

00:10:21.080 with some kind of

00:10:21.680 a motorcycle scooter

00:10:23.080 kind of a thing.

00:10:24.180 Was it a motorcycle?

00:10:24.920 And he pulls it

00:10:27.000 in front of the truck

00:10:27.780 and then he just,

00:10:29.440 like he's a badass,

00:10:31.240 he just pulls it

00:10:32.140 in front of the truck

00:10:32.700 and he drops it

00:10:33.540 on the ground

00:10:34.300 to block the truck.

00:10:36.300 And then he gets up

00:10:37.120 and he's going to

00:10:37.520 walk over to the driver.

00:10:38.980 He's like,

00:10:39.700 man,

00:10:40.400 I just pulled

00:10:41.200 a Batman move.

00:10:43.020 I mean,

00:10:43.820 I'm feeling like

00:10:44.680 some kind of

00:10:45.260 a superhero.

00:10:46.780 I mean,

00:10:47.200 I had my vehicle,

00:10:49.200 my Bat motorcycle,

00:10:51.140 cut him off,

00:10:51.920 cleverly put my vehicle

00:10:54.320 in front of his truck

00:10:55.340 to block his response

00:10:57.380 and then I'm going

00:10:58.600 to swagger over

00:10:59.520 to that,

00:11:00.640 there he goes,

00:11:01.940 dragging my motorcycle

00:11:04.380 under his truck.

00:11:05.800 One of the funniest

00:11:06.760 things you'll ever see.

00:11:08.320 So,

00:11:08.700 I don't know

00:11:09.460 who gets to talk

00:11:10.840 to the insurance company

00:11:12.260 for that motorcycle vehicle,

00:11:15.980 but he's got

00:11:17.200 some explaining to do.

00:11:19.100 Can you explain

00:11:19.880 the nature

00:11:20.800 of the accident,

00:11:21.920 sir?

00:11:23.680 Can you talk

00:11:24.460 to my mom?

00:11:26.640 Hands mom

00:11:27.340 the phone.

00:11:28.640 That's what I think

00:11:29.500 will happen.

00:11:30.960 All right.

00:11:32.320 Does anybody care

00:11:33.260 about Portland anymore?

00:11:36.060 My empathy

00:11:37.200 for Portland

00:11:38.380 is now

00:11:39.420 basically zero.

00:11:41.820 I'd say zero.

00:11:43.300 I can't care

00:11:44.580 about Portland.

00:11:45.840 It's interesting.

00:11:46.860 I like seeing the videos.

00:11:48.040 I like seeing

00:11:48.360 what's happening.

00:11:49.300 But don't ask me

00:11:50.000 to care.

00:11:50.420 Don't ask me

00:11:52.080 to help.

00:11:53.440 Don't ask me

00:11:54.280 to mourn

00:11:55.660 if something bad

00:11:56.480 happens to somebody

00:11:57.340 during the protests.

00:11:59.080 Don't care.

00:12:00.640 Now,

00:12:01.140 I do think

00:12:01.640 that the

00:12:02.280 Portlandiers,

00:12:03.520 is that a word,

00:12:05.240 who say,

00:12:06.900 well,

00:12:07.100 it's been limited

00:12:07.800 to these certain areas.

00:12:09.160 Well,

00:12:09.360 it's probably true.

00:12:10.780 So there may be a reason

00:12:11.920 that the Portland people

00:12:12.820 don't care too much.

00:12:13.860 Maybe it doesn't have

00:12:14.520 much effect on their lives.

00:12:16.260 And if they don't care,

00:12:17.120 I certainly don't care.

00:12:21.640 Speaking of stuff

00:12:22.600 like that,

00:12:23.620 Oprah came out

00:12:24.880 as a racist

00:12:25.660 yesterday.

00:12:26.980 Sort of surprised me

00:12:28.020 a little bit.

00:12:29.620 You can read about it.

00:12:30.780 I tweeted it.

00:12:31.960 But apparently

00:12:32.420 she's just

00:12:32.920 an open racist now.

00:12:35.980 I'm not even

00:12:36.660 going to give you

00:12:37.140 the details.

00:12:38.800 Right?

00:12:39.560 I was going to tell you

00:12:40.900 what she said

00:12:41.640 and why that's racist.

00:12:43.720 I don't even need to.

00:12:45.240 It was so racist.

00:12:47.720 Nah,

00:12:48.020 I'm going to do it anyway.

00:12:49.440 Their basic message

00:12:50.520 was that

00:12:51.380 having white skin

00:12:53.200 is a life advantage.

00:12:55.000 Just period.

00:12:56.000 That's all you need.

00:12:57.180 You got white skin, 1.00

00:12:58.540 it's a life advantage.

00:13:01.240 I feel like

00:13:02.140 that's a little

00:13:02.720 oversimplifying.

00:13:04.660 And racist.

00:13:06.780 It's just racist.

00:13:08.220 Because

00:13:08.580 it certainly isn't true

00:13:10.080 in employment.

00:13:12.440 Certainly isn't true

00:13:13.520 in education.

00:13:15.700 Certainly isn't true

00:13:16.820 in socially.

00:13:19.900 I can't think of

00:13:20.880 too many places

00:13:21.900 as true.

00:13:23.160 Now,

00:13:23.460 it would be true,

00:13:24.320 let me give you

00:13:25.240 some examples

00:13:25.920 where it would be true.

00:13:27.320 Would it be true

00:13:28.260 in

00:13:28.680 if you go to a store

00:13:30.800 and you're black

00:13:31.580 and you're just shopping

00:13:32.520 and maybe people

00:13:34.300 keep an eye on you

00:13:35.140 and it's like,

00:13:35.500 they think you're

00:13:36.460 a shoplifter

00:13:36.980 just because you're black. 0.79

00:13:38.560 Yeah,

00:13:38.940 I would say that's bad.

00:13:40.960 And I would say

00:13:41.380 that's real.

00:13:43.260 But it's not

00:13:44.500 high on the list

00:13:46.200 compared to getting

00:13:46.980 a job

00:13:47.800 or going to college

00:13:50.000 or, you know,

00:13:51.020 those things.

00:13:52.240 So as annoying

00:13:53.120 as that must be,

00:13:54.760 one has to ask

00:13:55.580 this question.

00:13:56.680 Is that because

00:13:57.480 of white people

00:13:58.260 or is it because

00:13:59.800 of the statistical

00:14:00.820 reality

00:14:01.620 which causes

00:14:02.920 everybody to be

00:14:03.860 a little bit

00:14:04.620 wary

00:14:05.200 because we're

00:14:06.220 not good

00:14:06.580 at pattern

00:14:06.980 recognition?

00:14:08.120 Well,

00:14:08.760 let me say this.

00:14:09.880 We use pattern

00:14:10.600 recognition

00:14:11.100 as our

00:14:11.960 primary mode

00:14:13.640 of understanding

00:14:14.320 our world

00:14:14.880 but we're not

00:14:15.400 good at it.

00:14:16.760 We get

00:14:17.400 false patterns

00:14:18.280 as easily

00:14:18.860 as correct

00:14:19.620 patterns.

00:14:21.000 So if there's

00:14:21.700 a high rate

00:14:22.480 of crime

00:14:23.020 in one community,

00:14:24.620 is it really

00:14:25.500 reasonable

00:14:26.060 to expect

00:14:27.680 that people

00:14:28.980 outside that

00:14:29.800 community

00:14:30.200 and even

00:14:30.680 within the community

00:14:31.460 probably doesn't

00:14:32.240 make any sense

00:14:32.880 if you're black

00:14:33.500 yourself?

00:14:34.380 If you're seeing

00:14:35.180 somebody come in

00:14:35.880 who's a member

00:14:36.600 of a community

00:14:38.060 with high crime,

00:14:39.640 are you expected

00:14:40.540 to act exactly

00:14:41.940 the same?

00:14:43.480 Well,

00:14:44.020 you should,

00:14:45.460 right?

00:14:45.880 If you're a good

00:14:46.700 person and you're

00:14:47.940 trying to overcome

00:14:49.800 your biases,

00:14:51.200 you should.

00:14:52.980 But we're also

00:14:53.880 human beings

00:14:54.760 who operate

00:14:55.560 on pattern

00:14:56.060 recognition

00:14:56.620 and that's

00:14:57.460 a big ask.

00:14:59.200 That's why I

00:14:59.880 always say

00:15:00.260 that Black Lives

00:15:01.260 Matter is

00:15:02.000 completely discredited

00:15:03.880 in terms of

00:15:05.020 their slogan

00:15:05.640 of thinking

00:15:06.460 that Black Lives

00:15:07.200 Matter

00:15:07.500 because obviously

00:15:08.180 they don't.

00:15:09.440 If they did,

00:15:09.940 they'd work on

00:15:10.400 the highest priority,

00:15:11.500 not the lowest

00:15:12.240 priority.

00:15:13.280 The lowest priority

00:15:14.300 is the number

00:15:15.220 of people

00:15:15.560 who get killed

00:15:16.160 by police.

00:15:17.880 It's a small

00:15:18.380 number.

00:15:19.480 Compare that

00:15:19.980 to the number

00:15:20.420 of people

00:15:20.760 who get a bad

00:15:21.380 education.

00:15:22.600 That's a big

00:15:23.100 number and it

00:15:23.880 affects everything

00:15:24.820 including the

00:15:26.740 odds of you

00:15:27.320 being stopped

00:15:27.980 by the police,

00:15:29.240 including the

00:15:31.000 odds of the

00:15:31.620 shopkeeper

00:15:32.200 giving you

00:15:32.700 a little

00:15:32.980 extra attention.

00:15:34.240 If you fix

00:15:35.060 education,

00:15:36.420 a lot of

00:15:37.120 things get

00:15:37.600 fixed.

00:15:38.880 And right

00:15:39.380 now it's

00:15:39.840 the racist

00:15:41.080 teachers union

00:15:43.520 that keeps

00:15:44.220 Black people

00:15:44.880 from getting

00:15:45.340 a good

00:15:45.700 education.

00:15:46.440 I mean,

00:15:46.600 I think that's

00:15:47.080 just a fact

00:15:47.800 because they

00:15:50.340 limit competition,

00:15:52.300 they limit

00:15:53.020 charter schools,

00:15:53.900 and basically

00:15:54.360 all the solutions

00:15:55.400 that would

00:15:55.960 make a difference

00:15:57.120 to Black 0.60

00:15:57.760 students

00:15:58.360 are stopped

00:16:00.980 by the

00:16:01.420 teachers unions.

00:16:02.560 So the

00:16:02.940 teachers unions

00:16:03.540 are clearly

00:16:04.140 racist in the

00:16:06.100 worst possible

00:16:06.700 way,

00:16:07.800 but that's

00:16:09.780 what I got

00:16:10.140 to say about

00:16:10.620 that.

00:16:10.860 I'm very

00:16:11.140 disappointed

00:16:11.620 in Oprah

00:16:12.460 coming out

00:16:13.060 as being a

00:16:13.680 racist.

00:16:14.820 All right.

00:16:16.660 CNN has

00:16:17.420 some fake

00:16:17.880 news about

00:16:18.420 marijuana.

00:16:19.640 Their headline

00:16:20.200 says,

00:16:20.880 weed can be

00:16:21.380 bad for your

00:16:21.920 heart,

00:16:22.560 but the

00:16:23.180 article doesn't.

00:16:23.980 the usual.

00:16:27.000 The headline

00:16:27.680 doesn't match

00:16:28.320 the article.

00:16:29.400 But in any

00:16:29.840 event,

00:16:30.460 here's the

00:16:30.880 question you

00:16:31.320 should ask

00:16:31.740 yourself every

00:16:33.020 time you see

00:16:34.080 any article,

00:16:34.840 it doesn't have

00:16:35.220 to be in CNN,

00:16:36.400 any article that

00:16:37.280 says marijuana

00:16:37.960 is bad for

00:16:40.240 you in a way

00:16:40.860 that will kill

00:16:41.340 you.

00:16:41.860 It obviously

00:16:42.580 is bad for

00:16:43.360 people in

00:16:44.700 terms of

00:16:45.180 lifestyle,

00:16:46.080 depending on

00:16:47.000 who you are

00:16:47.580 and how you're

00:16:48.040 using it.

00:16:49.040 And by the

00:16:49.500 way, I would

00:16:49.840 never argue

00:16:50.420 that point.

00:16:51.680 Marijuana is

00:16:52.180 one of those

00:16:52.560 weird drugs,

00:16:53.980 that, well,

00:16:55.300 I suppose any

00:16:55.880 drug has this

00:16:56.540 quality, that

00:16:57.820 it could be

00:16:58.300 good for some

00:16:58.880 people, harmless

00:17:00.600 for other

00:17:01.100 people, and

00:17:02.360 it could just

00:17:02.840 ruin other

00:17:03.520 people's lives.

00:17:04.520 That is the

00:17:05.200 nature of the

00:17:05.760 drug, and you

00:17:06.440 should not

00:17:06.860 downplay the

00:17:08.900 fact that it

00:17:09.440 could ruin

00:17:09.800 your life.

00:17:10.620 I've seen

00:17:11.240 that.

00:17:13.620 But here's

00:17:14.800 the question

00:17:15.200 you should

00:17:15.620 always ask.

00:17:16.740 What is the

00:17:17.500 total mortality

00:17:18.620 rate?

00:17:19.580 In other

00:17:20.000 words, how

00:17:21.100 soon are

00:17:21.620 people dying

00:17:22.300 if they are

00:17:23.780 chronic users

00:17:24.800 of marijuana

00:17:25.560 versus never

00:17:27.100 used it in

00:17:27.660 their life?

00:17:28.940 And it

00:17:29.200 turns out it's

00:17:29.900 basically the

00:17:30.900 same.

00:17:32.020 Somebody says,

00:17:32.960 pot saved my

00:17:33.760 life.

00:17:34.540 I would say

00:17:35.020 the same thing,

00:17:35.700 actually.

00:17:36.380 I would say

00:17:36.900 that marijuana

00:17:37.840 probably has

00:17:39.200 kept me alive.

00:17:41.220 That's a

00:17:41.860 longer story,

00:17:43.240 but that is

00:17:44.220 my sincere

00:17:45.020 belief, is

00:17:46.280 that it is a

00:17:46.900 life-saving

00:17:47.480 drug in my

00:17:48.580 particular case.

00:17:50.460 Literally and

00:17:51.500 specifically a

00:17:52.740 life-saving

00:17:53.200 drug.

00:17:54.120 Other people

00:17:54.580 have had that

00:17:54.980 experience,

00:17:55.660 but don't,

00:17:58.240 and if you're

00:17:58.960 wondering how I

00:17:59.520 can say it

00:17:59.940 can be bad

00:18:00.420 for some

00:18:00.780 people and

00:18:01.180 good for

00:18:01.480 others,

00:18:02.060 it's not

00:18:02.700 just that

00:18:03.480 there's a

00:18:03.820 different

00:18:04.060 chemical

00:18:04.620 response,

00:18:06.160 which I

00:18:06.500 just assume

00:18:07.240 for any

00:18:07.620 drug,

00:18:08.600 but also

00:18:09.300 the nature

00:18:10.780 of marijuana

00:18:11.680 is that it

00:18:13.020 tends to make

00:18:13.640 you more of

00:18:14.240 what you

00:18:14.480 already were.

00:18:16.480 So let me

00:18:17.140 just digress a

00:18:17.920 bit.

00:18:18.440 If you

00:18:18.940 haven't heard

00:18:19.280 this before,

00:18:20.040 it's a good

00:18:20.660 filter on

00:18:21.700 marijuana.

00:18:23.000 If you are

00:18:24.040 ambitious by

00:18:25.260 nature and

00:18:26.900 creative by

00:18:28.260 nature, you

00:18:28.980 already were

00:18:29.540 those things,

00:18:30.160 you are already

00:18:30.640 ambitious and

00:18:31.320 creative,

00:18:32.380 marijuana can

00:18:33.060 make you more

00:18:33.660 ambitious and

00:18:34.300 more creative.

00:18:35.520 That's my

00:18:36.240 experience.

00:18:37.440 But if you

00:18:38.700 are lazy and

00:18:39.500 unmotivated by

00:18:40.540 nature, it

00:18:41.920 might make you

00:18:42.600 lazier and

00:18:43.320 more unmotivated.

00:18:44.540 So when I say

00:18:45.100 it can kill you

00:18:45.800 or it can help

00:18:46.440 you, that's

00:18:48.120 a small part

00:18:49.480 of what I

00:18:49.840 mean by that.

00:18:50.560 And that's

00:18:51.140 independent of

00:18:52.760 the mental

00:18:53.260 health, independent

00:18:54.320 of the physical

00:18:55.840 health part of

00:18:56.540 it.

00:18:57.020 It just makes

00:18:57.840 you more of

00:18:58.440 what you're

00:18:58.780 inclined to

00:18:59.400 be naturally.

00:19:01.440 And for some

00:19:01.920 of you, you

00:19:02.520 might not want

00:19:03.120 that.

00:19:04.260 If you're having

00:19:05.000 trouble with

00:19:05.480 motivation, I

00:19:07.260 don't know that

00:19:07.720 I would recommend

00:19:08.340 marijuana.

00:19:09.720 But if you're

00:19:10.460 terribly motivated,

00:19:12.540 in my case, I

00:19:13.860 have a problem

00:19:15.020 with over

00:19:15.740 motivation sometimes.

00:19:18.120 So, you

00:19:18.840 know, I

00:19:19.380 can cut it

00:19:19.880 back a little

00:19:20.360 bit.

00:19:22.680 Anyway, enough

00:19:23.940 on that.

00:19:26.880 Andres

00:19:27.400 Backhaus was

00:19:29.480 tweeting some

00:19:30.200 German statistics

00:19:31.740 showing that

00:19:32.960 Germany's death 0.99

00:19:34.520 curve and stuff

00:19:35.260 seems to be

00:19:35.840 moving in the

00:19:36.700 right direction.

00:19:37.980 But as

00:19:39.520 Andres pointed

00:19:40.860 out in a

00:19:41.460 follow-up tweet

00:19:42.340 on the same

00:19:42.980 topic, he

00:19:44.180 said it was

00:19:44.620 quite fascinating

00:19:45.380 how many people

00:19:46.100 immediately seem

00:19:47.020 to know

00:19:47.580 whether the

00:19:48.800 German statistics

00:19:49.860 is good news

00:19:50.640 or bad news

00:19:51.400 and whether the

00:19:53.100 U.S. is 0.80

00:19:53.520 looking better

00:19:54.160 or worse

00:19:54.540 compared to

00:19:55.080 them.

00:19:56.060 None of that

00:19:56.740 can be said

00:19:57.240 with certainty.

00:19:58.800 So that's

00:19:59.280 your data

00:20:00.700 analysis lesson

00:20:01.820 for the day.

00:20:03.040 So the fact

00:20:03.580 that Germany

00:20:04.280 appears with

00:20:06.800 this data, it

00:20:08.200 appears to have

00:20:09.020 a better grip

00:20:09.840 on it than the

00:20:10.440 United States,

00:20:11.500 can you therefore

00:20:12.300 conclude that

00:20:13.180 that's true?

00:20:14.960 Nope.

00:20:15.360 And if you

00:20:16.540 think you

00:20:16.960 can, you

00:20:17.840 don't understand

00:20:18.760 enough about

00:20:19.940 how to compare

00:20:20.640 things, enough

00:20:22.020 about the

00:20:22.460 complexity of

00:20:23.300 it, you

00:20:24.000 don't understand

00:20:24.700 how many

00:20:25.200 variables are

00:20:25.940 different, we'll

00:20:26.960 talk about that

00:20:27.480 in a minute, and

00:20:28.520 you don't

00:20:28.840 understand how

00:20:29.500 unreliable data

00:20:30.580 is, and you

00:20:31.400 don't understand

00:20:32.060 that we're only

00:20:32.680 at halftime, and

00:20:34.600 that there's a lot

00:20:35.300 more to play.

00:20:36.340 And there's no

00:20:36.900 reason to think

00:20:37.540 that Germany or

00:20:38.640 any other country

00:20:39.520 that gets a

00:20:40.500 really good grip

00:20:41.300 on it will

00:20:42.500 keep it.

00:20:43.000 What would

00:20:44.420 keep it?

00:20:45.200 What would

00:20:45.820 keep your

00:20:46.300 country that

00:20:47.520 gets a really

00:20:48.060 good grip on

00:20:48.820 it, and

00:20:49.220 really drives

00:20:49.960 those, let's

00:20:50.840 say it drives

00:20:51.340 the death

00:20:51.780 stent of

00:20:52.280 zero.

00:20:53.820 Let's say

00:20:54.280 Germany drives

00:20:55.180 the death

00:20:55.640 stent of

00:20:56.080 zero, keeps

00:20:57.740 it there for

00:20:58.340 two weeks.

00:21:00.180 Impressive,

00:21:00.800 right?

00:21:01.180 I don't know

00:21:01.640 if that'll ever

00:21:02.120 happen, but

00:21:02.620 let's say they

00:21:03.120 do.

00:21:03.980 But the rest

00:21:04.600 of the world

00:21:05.080 is raging.

00:21:06.980 Did Germany 0.61

00:21:07.840 win?

00:21:09.700 No.

00:21:11.340 No.

00:21:11.780 Because, hey,

00:21:14.980 carpedunctum?

00:21:17.000 Carpedunctum

00:21:17.520 isn't back, is

00:21:18.220 he?

00:21:19.700 I need to

00:21:20.500 check into

00:21:20.880 that.

00:21:24.080 So, anyway,

00:21:25.200 don't trust any

00:21:26.120 data about

00:21:26.940 anything.

00:21:27.660 That's the

00:21:28.100 general thing

00:21:28.740 you should

00:21:29.020 learn in

00:21:29.500 2020.

00:21:31.060 My new

00:21:31.840 exciting topic,

00:21:33.300 which I'm

00:21:33.820 trying to

00:21:34.240 understand and

00:21:35.040 I'm having a

00:21:35.540 hard time of

00:21:36.080 it, is the

00:21:36.840 idea of the

00:21:38.440 rapid but less

00:21:40.000 sensitive testing.

00:21:41.780 So, carpedunctum

00:21:46.900 is back on

00:21:48.260 Periscope.

00:21:49.300 Can you be

00:21:49.880 banned on

00:21:50.500 Twitter but

00:21:51.020 not on

00:21:51.420 Periscope?

00:21:52.960 So, I don't

00:21:53.660 know what that

00:21:54.140 means.

00:21:55.140 All right, we'll

00:21:55.520 look into that.

00:21:56.840 So, anyway,

00:21:57.260 about the, so

00:21:58.700 there's a

00:21:59.460 concept out

00:22:00.160 there that I'm

00:22:00.740 trying to

00:22:01.100 understand its

00:22:01.880 practicality.

00:22:03.100 And the idea

00:22:03.500 is that for

00:22:04.840 a dollar,

00:22:05.640 maybe five

00:22:06.180 dollars, you 0.54

00:22:07.060 can make

00:22:07.380 these easy

00:22:07.980 spit tests

00:22:08.820 tests, where

00:22:09.920 you could

00:22:10.480 just test

00:22:10.980 yourself by

00:22:12.140 spitting in

00:22:12.800 something and

00:22:13.420 seeing if it

00:22:14.020 changes color

00:22:14.680 in a few

00:22:15.100 minutes.

00:22:16.080 Now, the

00:22:16.740 downside, and

00:22:18.000 here's a

00:22:18.480 correction to

00:22:19.200 what I told

00:22:19.640 you yesterday,

00:22:20.580 I think I

00:22:21.160 referred to

00:22:21.720 them as

00:22:22.280 being less

00:22:23.040 accurate.

00:22:24.440 That's not

00:22:25.040 the best way

00:22:25.600 to look at

00:22:26.100 it.

00:22:26.500 The best way

00:22:26.960 to look at

00:22:27.400 it is less

00:22:27.980 sensitive,

00:22:29.220 meaning that

00:22:29.980 it's not

00:22:30.520 going to get

00:22:30.900 somebody who

00:22:31.380 has a little

00:22:31.840 bit of virus

00:22:32.500 that they

00:22:33.240 just picked

00:22:33.800 up.

00:22:34.160 But if

00:22:34.960 you've got

00:22:36.020 a good

00:22:37.160 viral load,

00:22:39.360 it will

00:22:39.760 pick it

00:22:40.100 up fairly

00:22:41.300 reliably.

00:22:43.120 And the

00:22:44.400 thinking is

00:22:45.020 that even

00:22:45.460 if you

00:22:45.800 missed some

00:22:46.920 people who

00:22:47.420 just coincidentally

00:22:48.220 were in that

00:22:48.720 little zone of

00:22:49.700 not much

00:22:50.160 virus yet,

00:22:51.460 you could

00:22:52.040 miss all

00:22:53.300 of them.

00:22:54.380 And you

00:22:54.660 would still

00:22:54.940 have something

00:22:55.420 that would

00:22:55.740 be so

00:22:56.140 powerful if

00:22:57.360 it caught

00:22:57.720 the people

00:22:58.140 who were

00:22:58.400 really the

00:22:58.860 big shedders 1.00

00:22:59.820 who had

00:23:00.200 presumably

00:23:01.060 you would

00:23:01.500 shed more

00:23:01.900 if you had

00:23:02.200 more viral

00:23:02.680 load.

00:23:03.160 But I

00:23:03.660 think that

00:23:04.060 that's

00:23:05.380 subject to

00:23:06.400 verification.

00:23:08.760 And so

00:23:09.020 the question

00:23:09.480 is this.

00:23:10.540 What is

00:23:11.020 the regulatory

00:23:11.920 barrier to

00:23:13.560 that?

00:23:13.940 Because there's

00:23:14.340 some kind

00:23:14.700 of FDA

00:23:15.220 emergency

00:23:15.960 approval

00:23:16.740 that's hard

00:23:18.340 to get

00:23:18.840 or they

00:23:19.620 don't want

00:23:20.060 it or

00:23:20.400 something.

00:23:21.280 So there

00:23:21.720 are a bunch

00:23:22.300 of unknowns

00:23:22.860 I'm trying

00:23:23.300 to suss

00:23:24.260 out of

00:23:24.580 this.

00:23:25.700 But the

00:23:26.360 basic idea

00:23:27.160 of could

00:23:27.780 there be

00:23:28.160 a test

00:23:28.800 that is

00:23:30.620 accurate,

00:23:32.160 sensitive

00:23:32.980 enough,

00:23:33.520 I'll

00:23:34.180 stop using

00:23:34.720 the word

00:23:35.000 accurate.

00:23:35.580 So you

00:23:35.800 should do

00:23:36.120 that too.

00:23:37.080 If we're

00:23:38.240 talking about

00:23:38.620 these cheap

00:23:39.260 spit tests,

00:23:41.040 you should

00:23:41.560 talk to them

00:23:42.080 in terms

00:23:42.480 of sensitivity,

00:23:43.940 meaning they're

00:23:44.420 not going to

00:23:44.820 get the

00:23:45.160 small cases,

00:23:47.320 not accuracy

00:23:48.280 per se.

00:23:49.380 But of

00:23:49.920 course accuracy

00:23:50.440 is part of

00:23:50.860 the story.

00:23:52.420 So here's

00:23:52.800 my question.

00:23:53.780 Is it

00:23:54.100 possible for

00:23:55.040 a private

00:23:55.480 company in

00:23:56.120 the United

00:23:56.420 States to

00:23:58.180 produce this

00:23:59.140 test in

00:23:59.900 large quantities

00:24:01.060 and also

00:24:01.960 do their

00:24:02.460 own internal

00:24:03.400 testing to

00:24:05.340 find out that

00:24:06.120 it's sensitive

00:24:06.780 enough?

00:24:10.860 So,

00:24:11.700 somebody says

00:24:12.620 Carpe

00:24:12.980 Dunctum

00:24:13.440 has at

00:24:14.820 2 p.m.

00:24:15.340 Eastern time

00:24:15.980 has a

00:24:16.560 Greg

00:24:16.760 got filled

00:24:17.140 on.

00:24:17.820 So you

00:24:18.880 should watch

00:24:19.340 that.

00:24:21.320 So I'm

00:24:21.980 still looking

00:24:22.360 into this.

00:24:23.560 I know

00:24:23.920 that the

00:24:24.580 task force

00:24:27.000 has probably

00:24:27.500 looked into

00:24:28.020 this by

00:24:28.880 now, or at

00:24:29.640 least they're

00:24:29.940 looking into

00:24:30.400 it, but I

00:24:31.300 got some

00:24:31.600 real questions

00:24:32.320 because if

00:24:34.260 a private

00:24:34.680 company could

00:24:35.300 make this

00:24:35.760 thing, the

00:24:36.860 demand would

00:24:37.620 be off the

00:24:39.360 chart.

00:24:40.360 Let me ask

00:24:41.300 you this.

00:24:42.020 If you

00:24:42.460 could buy

00:24:43.080 a, say,

00:24:45.080 $1 to $5

00:24:45.880 test that

00:24:47.740 would be

00:24:48.380 sensitive enough

00:24:49.760 to know if

00:24:50.280 you had a

00:24:51.060 bad case, but

00:24:51.940 maybe not that

00:24:52.700 first day or

00:24:53.480 so, would

00:24:55.260 you buy it?

00:24:56.540 I would.

00:24:57.920 I'd buy a

00:24:58.580 whole bunch

00:24:58.940 of them.

00:24:59.220 I'd be

00:24:59.940 testing away

00:25:00.740 every few

00:25:01.860 days, just

00:25:02.400 in my own

00:25:02.840 house, if

00:25:03.680 I had them.

00:25:05.160 But here's

00:25:05.800 the money

00:25:06.700 shot.

00:25:07.140 Are you

00:25:07.320 ready?

00:25:08.880 When

00:25:09.440 masks first 0.63

00:25:10.920 became

00:25:11.380 recommended,

00:25:12.880 maybe you

00:25:13.600 didn't see

00:25:14.000 this, but

00:25:14.840 it's something

00:25:15.220 I saw, which

00:25:16.700 is that private

00:25:17.420 companies really

00:25:19.080 needed to get

00:25:19.800 masks, and

00:25:20.800 they were

00:25:21.060 scrambling to

00:25:21.780 get them for

00:25:22.280 their employees.

00:25:23.520 Because if

00:25:24.520 you're a

00:25:24.780 private company,

00:25:26.040 and there's

00:25:26.460 something out

00:25:26.980 there that

00:25:27.300 can protect

00:25:28.020 your employees,

00:25:29.220 let's say

00:25:30.220 masks, you

00:25:31.820 have to get

00:25:32.640 it.

00:25:33.860 If you think

00:25:34.800 it's optional

00:25:35.680 that a big

00:25:36.980 private, let's

00:25:38.240 say a Fortune

00:25:38.760 500 company,

00:25:40.060 if you think

00:25:40.640 it's optional

00:25:41.500 for them not

00:25:42.900 to make sure

00:25:43.500 that their

00:25:44.000 employees have

00:25:45.080 the right

00:25:45.400 safety equipment,

00:25:46.440 which in this

00:25:47.020 case would

00:25:47.480 include masks,

00:25:48.640 if you think

00:25:49.200 that's optional,

00:25:50.540 you've never

00:25:51.180 had any

00:25:51.680 experience with

00:25:52.360 corporate America.

00:25:53.160 the moment

00:25:54.520 something is

00:25:55.520 known to be

00:25:56.420 safer, in

00:25:58.820 other words,

00:25:59.360 will protect

00:26:00.820 the employees,

00:26:02.020 the moment

00:26:02.700 that's true,

00:26:04.080 or looks like

00:26:04.880 it's true,

00:26:05.680 they have to

00:26:06.700 get it.

00:26:07.720 They just

00:26:08.100 have to.

00:26:08.900 Because otherwise

00:26:09.360 you're explaining

00:26:10.240 later, you

00:26:11.120 know, why did

00:26:12.060 you let this

00:26:12.700 outbreak rage

00:26:14.400 through your

00:26:15.140 meatpacking

00:26:16.160 plant or your

00:26:17.260 call center

00:26:18.160 when this

00:26:19.300 cheap test

00:26:19.980 was available?

00:26:21.540 You know,

00:26:21.820 how can you,

00:26:23.120 this is a

00:26:24.060 hypothetical of

00:26:24.940 the future,

00:26:25.540 you can imagine

00:26:26.080 this conversation,

00:26:27.440 how could you

00:26:28.060 Facebook let

00:26:29.700 your employees

00:26:30.360 get this

00:26:31.320 infection,

00:26:32.120 X of them

00:26:32.640 died,

00:26:33.440 how could you

00:26:34.100 let that happen 0.91

00:26:34.700 when you knew

00:26:35.160 there was this

00:26:35.620 cheap test

00:26:36.280 that probably

00:26:37.680 would have

00:26:37.980 prevented it?

00:26:39.180 It's a big

00:26:39.860 liability,

00:26:40.800 it's something

00:26:41.560 they need to

00:26:42.080 explain,

00:26:42.980 and honestly,

00:26:45.000 you know,

00:26:45.380 corporations are

00:26:46.080 not the devil,

00:26:47.120 they're staffed

00:26:47.980 by human beings,

00:26:49.320 and the human

00:26:50.200 beings,

00:26:51.060 even in human

00:26:51.860 resources,

00:26:52.960 who are barely

00:26:53.720 human,

00:26:54.360 sorry,

00:26:55.040 I created a

00:26:56.480 character named

00:26:57.060 Catbert,

00:26:57.680 so I can say

00:26:58.420 that,

00:26:59.080 but it's not

00:26:59.540 personal.

00:27:00.880 There's probably

00:27:01.700 no human who

00:27:03.200 wouldn't want to

00:27:03.800 protect their

00:27:04.940 co-workers as

00:27:05.800 well.

00:27:06.460 So forget about

00:27:07.180 the corporate,

00:27:07.880 forget about the

00:27:08.460 liability,

00:27:09.260 forget about,

00:27:10.200 you know,

00:27:10.740 how it looks for

00:27:11.520 their brand.

00:27:13.100 Corporations are

00:27:13.820 people,

00:27:14.840 they're going to

00:27:15.360 protect each

00:27:15.920 other.

00:27:16.580 So the demand

00:27:17.600 for such a

00:27:18.560 test,

00:27:18.940 if it could

00:27:20.120 be created,

00:27:21.200 if it could

00:27:21.900 be sensitive

00:27:22.940 enough and

00:27:24.200 accurate enough

00:27:24.880 at the same

00:27:25.380 time,

00:27:26.660 the demand

00:27:27.800 would be

00:27:28.540 unbelievable.

00:27:30.340 There's no way

00:27:30.960 we could make

00:27:31.500 enough.

00:27:32.880 So you don't

00:27:34.440 even need the

00:27:36.020 government to

00:27:37.160 lay down any

00:27:38.120 rules.

00:27:38.720 If you simply

00:27:39.660 said,

00:27:40.300 let's open

00:27:41.360 up,

00:27:42.500 you know,

00:27:42.800 just open up

00:27:43.380 the businesses,

00:27:44.080 do what you

00:27:44.480 can,

00:27:45.240 but at the

00:27:45.860 same time,

00:27:46.860 tests were

00:27:47.340 widely available.

00:27:48.920 If you were

00:27:49.280 a bar,

00:27:50.660 would you

00:27:51.700 open up or

00:27:52.420 would you say,

00:27:52.960 look,

00:27:53.200 it's only five

00:27:53.880 minutes to get

00:27:54.520 into the bar.

00:27:55.680 You just stand

00:27:56.620 in the line

00:27:57.180 outside the

00:27:57.780 bar,

00:27:59.200 spit in the

00:27:59.880 thing,

00:28:00.760 it won't get

00:28:01.340 all of you,

00:28:02.660 but at least

00:28:03.440 we're doing

00:28:03.820 what we can

00:28:04.440 do.

00:28:05.560 All right?

00:28:06.120 I think even

00:28:06.780 a bar uses

00:28:07.520 it because,

00:28:08.860 you know,

00:28:09.040 a dollar per

00:28:09.760 customer might

00:28:11.260 be worth it

00:28:11.780 if you could

00:28:12.080 get it down

00:28:12.460 to that.

00:28:12.760 Anyway,

00:28:13.740 David Boxenhorn

00:28:15.080 has been

00:28:16.920 helpful in

00:28:17.860 collecting a

00:28:19.200 lot of these

00:28:19.720 tweets and

00:28:20.800 ideas and

00:28:21.560 talking about

00:28:23.120 this.

00:28:23.720 So if you

00:28:24.080 want to

00:28:24.300 follow him,

00:28:24.800 you'll see

00:28:25.100 him in

00:28:25.460 some of

00:28:27.020 my tweets

00:28:27.460 at

00:28:27.880 David Boxenhorn.

00:28:30.440 B-O-X-E-N-H-O-R-N. 1.00

00:28:34.200 I should say

00:28:35.260 that Adam

00:28:37.620 Townsend on

00:28:38.660 Twitter,

00:28:39.500 if you

00:28:40.040 follow him,

00:28:41.360 you know that

00:28:41.780 he probably

00:28:43.420 has the

00:28:43.840 widest

00:28:44.440 talent stack

00:28:45.580 you'll ever

00:28:45.960 see in your

00:28:46.340 life.

00:28:47.980 It's like

00:28:48.600 ridiculous,

00:28:49.340 the number

00:28:49.680 of things

00:28:50.020 he knows

00:28:50.540 in different

00:28:51.260 areas.

00:28:52.100 He speaks

00:28:53.120 fluent Mandarin

00:28:54.100 apparently.

00:28:55.980 And he

00:28:56.620 is not

00:28:57.040 sold on

00:28:57.640 this idea

00:28:58.100 of the

00:28:58.360 cheap

00:28:58.560 tests.

00:28:59.480 But his

00:29:00.560 explanation

00:29:01.340 for why

00:29:01.860 he's not

00:29:02.200 sold on

00:29:02.680 it,

00:29:03.140 I don't

00:29:03.620 understand.

00:29:04.860 So that's

00:29:05.260 where I am

00:29:05.680 at the

00:29:05.960 moment.

00:29:06.600 So there

00:29:07.000 is an

00:29:07.360 argument

00:29:07.660 by somebody

00:29:08.320 who knows

00:29:08.740 a lot

00:29:09.000 more than

00:29:09.320 I do,

00:29:10.280 but I

00:29:10.700 don't

00:29:10.960 understand

00:29:11.400 the

00:29:11.560 argument.

00:29:12.240 That's

00:29:12.420 where

00:29:12.560 that's

00:29:12.860 at.

00:29:13.040 Just be

00:29:13.620 aware that

00:29:14.020 there's a

00:29:14.380 counter

00:29:14.600 argument.

00:29:16.780 George

00:29:17.320 Takai,

00:29:18.140 you may

00:29:18.600 know him

00:29:19.160 from playing

00:29:20.620 Sulu in

00:29:21.440 the original

00:29:22.220 Star Trek

00:29:23.760 series,

00:29:25.260 but also

00:29:25.960 at the

00:29:26.660 moment he's

00:29:27.260 a big

00:29:27.940 anti-Trumper

00:29:28.700 and he's

00:29:29.480 very funny

00:29:30.060 on Twitter.

00:29:31.480 He's come

00:29:32.120 after me at

00:29:32.740 least once

00:29:33.360 on Twitter,

00:29:34.500 but I like

00:29:35.160 him.

00:29:35.780 I can't

00:29:36.560 not like

00:29:37.020 him because

00:29:37.580 he's so

00:29:37.940 damn

00:29:38.160 entertaining.

00:29:38.620 And I

00:29:39.680 think it's

00:29:41.440 hard for me

00:29:41.960 to dislike

00:29:42.660 anybody who

00:29:44.340 clearly has

00:29:45.040 good intentions.

00:29:46.500 You could

00:29:47.140 disagree with

00:29:48.020 him on

00:29:48.400 everything,

00:29:49.420 but I

00:29:49.900 can't dislike

00:29:50.560 him.

00:29:51.620 First of all,

00:29:52.320 I liked him

00:29:53.080 as an actor.

00:29:54.360 I like him

00:29:54.880 even better

00:29:55.320 on Twitter

00:29:55.720 because he's

00:29:56.200 hilarious.

00:29:57.380 And he has

00:29:58.000 good intentions,

00:29:58.920 I believe.

00:29:59.840 It's what I

00:30:00.900 see from him.

00:30:02.200 So somehow

00:30:02.960 he doesn't

00:30:03.740 bother me at

00:30:04.320 all,

00:30:05.340 whereas other

00:30:05.940 people might,

00:30:06.520 because I

00:30:06.900 feel like

00:30:07.340 their intentions

00:30:07.980 are not

00:30:08.500 pure.

00:30:09.300 They just

00:30:09.700 want to

00:30:10.000 win or

00:30:10.500 something.

00:30:11.100 I don't

00:30:11.440 think that's

00:30:11.820 the case

00:30:12.200 with George

00:30:12.660 Takai.

00:30:13.120 I think

00:30:13.340 he's a

00:30:13.620 good guy.

00:30:14.760 He just

00:30:15.060 has a

00:30:15.320 different view

00:30:15.840 of what

00:30:16.580 a better

00:30:17.300 world looks

00:30:17.840 like.

00:30:19.420 But he

00:30:20.700 tweeted

00:30:21.500 this,

00:30:22.700 and I'm

00:30:23.080 paraphrasing

00:30:23.580 because I

00:30:23.900 don't have

00:30:24.160 it in front

00:30:24.480 of me,

00:30:24.720 but basically

00:30:25.160 he asked,

00:30:26.380 he was

00:30:26.860 trying to

00:30:27.220 imagine how

00:30:27.920 hard it

00:30:28.300 would be

00:30:28.740 to be the

00:30:29.760 White House

00:30:30.180 staffer who

00:30:30.900 is asked

00:30:31.440 to make a

00:30:32.540 chart showing

00:30:33.200 that Trump

00:30:33.640 had done a

00:30:34.160 good job

00:30:34.760 on the

00:30:35.680 coronavirus.

00:30:36.060 In other

00:30:36.700 words,

00:30:36.980 compared to

00:30:37.420 other

00:30:37.620 countries or

00:30:38.360 anything else.

00:30:39.740 And I

00:30:40.800 saw that and

00:30:41.300 I thought,

00:30:42.000 if I were

00:30:43.040 that staffer,

00:30:44.120 I could do

00:30:45.040 that.

00:30:45.680 It wouldn't

00:30:45.920 even be

00:30:46.180 hard.

00:30:46.920 How hard

00:30:47.520 would it

00:30:47.820 be to

00:30:49.240 come up

00:30:49.620 with some

00:30:50.040 graphs that

00:30:50.740 show that

00:30:51.100 the United

00:30:51.560 States is

00:30:52.180 doing a

00:30:52.640 good job

00:30:53.160 on the

00:30:53.480 coronavirus

00:30:53.940 compared to

00:30:55.020 other

00:30:55.220 countries?

00:30:56.260 It wouldn't

00:30:56.760 even be a

00:30:57.200 little bit

00:30:57.520 hard.

00:30:58.340 Now,

00:30:58.640 if you

00:30:58.980 think it

00:30:59.360 would be

00:30:59.620 hard,

00:31:00.380 you've

00:31:00.680 never done

00:31:01.100 this for

00:31:01.480 a living.

00:31:02.560 I've

00:31:02.960 done this

00:31:03.320 for a

00:31:03.620 living.

00:31:04.280 So in

00:31:04.640 my corporate

00:31:05.120 days,

00:31:06.060 this is

00:31:06.400 exactly what

00:31:07.060 I do.

00:31:07.580 I would

00:31:07.900 present

00:31:08.260 information

00:31:09.060 to management

00:31:11.040 and I

00:31:12.380 would have

00:31:12.780 control of

00:31:13.760 what I

00:31:14.080 showed them

00:31:14.520 and what

00:31:14.860 I didn't.

00:31:15.880 Do you

00:31:16.080 know how

00:31:16.400 easy it

00:31:17.040 was for

00:31:17.780 me to

00:31:18.080 make

00:31:18.260 something

00:31:18.540 to look

00:31:18.960 good or

00:31:19.860 to look

00:31:20.200 bad with

00:31:20.700 the same

00:31:21.020 data?

00:31:21.700 It's easy.

00:31:22.560 You

00:31:23.260 make some

00:31:24.340 assumptions,

00:31:25.020 slap 0.97

00:31:25.260 together and

00:31:25.860 suddenly good

00:31:26.560 becomes bad

00:31:27.320 or bad

00:31:27.680 becomes good.

00:31:29.040 So regardless

00:31:30.000 of how the

00:31:30.800 president is

00:31:31.420 actually doing,

00:31:33.580 so there's two

00:31:34.320 parts here,

00:31:34.820 is he actually

00:31:35.340 doing well?

00:31:36.420 But independent

00:31:37.240 of whether he's

00:31:37.880 doing well or

00:31:38.540 not, I could

00:31:40.200 totally put those

00:31:41.040 charts together.

00:31:42.300 Are you kidding

00:31:42.740 me?

00:31:43.480 Lying with data

00:31:44.400 is the easiest

00:31:44.940 thing in the

00:31:45.400 world.

00:31:45.980 Wouldn't even

00:31:46.400 be a challenge.

00:31:47.000 I was going

00:31:48.020 to tweet back

00:31:48.660 at him, but

00:31:49.180 I got bored

00:31:51.100 with my own

00:31:51.720 tweet because

00:31:52.700 it was going

00:31:53.020 to be too

00:31:53.360 long.

00:31:54.180 But here's

00:31:54.640 what I was

00:31:55.000 going to

00:31:55.220 say.

00:31:56.220 Let me show

00:31:57.000 you my

00:31:57.460 no Cuomo

00:31:58.180 slide.

00:31:59.260 The slide

00:32:00.000 where we

00:32:00.340 show how

00:32:00.680 the president

00:32:01.200 did if

00:32:03.800 he had

00:32:04.120 no Cuomo.

00:32:06.120 So I'd

00:32:06.840 call that

00:32:07.180 the no

00:32:07.640 Cuomo

00:32:08.020 slide.

00:32:09.180 The United

00:32:09.560 States

00:32:09.980 death rate

00:32:10.660 without

00:32:12.300 Cuomo.

00:32:13.960 Now,

00:32:14.580 again,

00:32:15.460 none of

00:32:16.160 these

00:32:16.340 individually.

00:32:17.000 are going

00:32:17.320 to tell

00:32:17.560 the case.

00:32:18.680 How about

00:32:19.120 comparing the

00:32:20.200 president only

00:32:21.000 to the other

00:32:21.880 countries that

00:32:22.560 have similar

00:32:23.300 strong states

00:32:24.580 rights with

00:32:25.420 governors?

00:32:26.180 How would

00:32:26.640 that look?

00:32:27.800 I don't even

00:32:28.260 know who

00:32:28.520 that is.

00:32:29.500 Can anybody

00:32:29.900 tell me who

00:32:31.220 would be our

00:32:31.780 comparables in

00:32:33.320 terms of having

00:32:34.040 50 or a lot

00:32:36.320 of states that

00:32:37.400 have individual

00:32:38.100 power?

00:32:40.080 Is there any

00:32:40.760 comparable?

00:32:41.860 Because if you're

00:32:42.400 not comparing us

00:32:43.260 to countries that

00:32:44.920 have that same

00:32:45.540 state situation,

00:32:47.000 is that an

00:32:49.320 accurate comparison?

00:32:50.340 I would think

00:32:50.740 not.

00:32:52.200 How about

00:32:52.780 comparing us to

00:32:53.620 countries with

00:32:54.340 the same

00:32:54.960 average age?

00:32:56.680 Who's doing

00:32:57.420 that?

00:32:58.640 Let me ask

00:32:59.380 you this.

00:33:00.900 You know,

00:33:01.320 you keep

00:33:01.620 hearing that

00:33:02.220 Africa doesn't 1.00

00:33:03.320 seem to be

00:33:03.820 having the

00:33:04.320 calamity that

00:33:05.620 you thought it

00:33:06.160 would, because

00:33:07.220 they have less

00:33:07.960 health care, we

00:33:08.820 assume.

00:33:09.140 here's a reason

00:33:12.340 why, maybe.

00:33:14.600 The average age

00:33:15.920 in the United

00:33:17.760 States, not

00:33:18.320 average, the

00:33:18.900 median, so 0.98

00:33:19.900 half of the

00:33:20.420 people are below

00:33:21.060 it, half of the

00:33:21.680 people are above

00:33:22.240 it.

00:33:22.840 In the United

00:33:23.320 States, the

00:33:23.820 median age for

00:33:25.040 all of our

00:33:25.540 residents is

00:33:26.220 39.

00:33:27.820 I didn't know

00:33:28.560 what it was

00:33:28.900 until I looked

00:33:29.400 it up.

00:33:30.120 Very similar to

00:33:30.900 China.

00:33:31.740 So the median

00:33:32.400 age in China is

00:33:33.280 38.

00:33:34.520 Italy, older,

00:33:35.980 46, and sure

00:33:37.040 enough, they

00:33:37.420 had a bad

00:33:38.660 outcome, and

00:33:40.020 they have one

00:33:40.400 of the oldest

00:33:40.880 countries.

00:33:42.520 But what do

00:33:43.100 you think is

00:33:43.600 the average, not

00:33:44.900 average, the

00:33:45.700 median age in

00:33:47.740 Africa?

00:33:49.140 What would you

00:33:49.620 guess in the

00:33:50.960 comments, before

00:33:52.160 I tell you the

00:33:52.680 answer, guess the

00:33:54.060 median age in

00:33:55.440 Africa, the age 0.96

00:33:56.960 upon which half

00:33:57.880 of the country is

00:33:58.560 below it and half

00:33:59.500 of the country is

00:34:00.100 above it.

00:34:00.820 What would you

00:34:01.300 guess?

00:34:02.020 If the United

00:34:02.740 States is 39,

00:34:04.940 Italy is 46,

00:34:06.540 what do you

00:34:06.860 think Africa

00:34:07.400 is?

00:34:10.460 It's between

00:34:11.220 16 and

00:34:12.040 18.

00:34:13.920 That's right.

00:34:14.800 The median

00:34:15.400 age in

00:34:16.280 Africa is

00:34:18.060 between 16

00:34:19.280 and 18 for

00:34:20.720 a number of

00:34:21.180 the countries.

00:34:21.680 I didn't look

00:34:22.060 at every

00:34:22.360 country, but

00:34:23.300 a lot of

00:34:24.020 the countries

00:34:24.440 in Africa,

00:34:25.540 yeah, it's

00:34:26.360 teenage.

00:34:27.720 Teenage is

00:34:28.440 the median.

00:34:29.600 So is there

00:34:30.760 a reason that

00:34:31.540 Africa is

00:34:32.520 doing fairly

00:34:33.080 well?

00:34:34.020 Probably that.

00:34:35.400 I mean, it's

00:34:35.800 got to be some

00:34:36.760 of that.

00:34:38.100 So where

00:34:38.680 are the charts

00:34:39.200 that only

00:34:41.280 compare us to

00:34:42.140 countries that

00:34:42.800 have the same

00:34:43.380 median age?

00:34:45.080 I haven't seen

00:34:45.560 that yet.

00:34:46.600 Where is the

00:34:47.120 country that

00:34:47.740 shows the

00:34:48.460 vitamin D

00:34:49.160 levels in

00:34:49.920 each country?

00:34:51.360 Where is the

00:34:52.060 chart that shows

00:34:52.920 the quality of

00:34:53.980 the data?

00:34:54.840 So the only

00:34:55.420 countries we're

00:34:56.080 compared to are

00:34:56.920 the ones where

00:34:57.480 we trust the

00:34:58.440 data.

00:34:59.220 Do you trust

00:34:59.760 China's data?

00:35:01.160 I don't.

00:35:01.960 How about

00:35:02.320 Turkey?

00:35:03.600 Turkey's doing 1.00

00:35:04.240 a great job,

00:35:05.060 huh?

00:35:09.180 Don't know.

00:35:10.540 Do you believe

00:35:11.060 any data coming

00:35:11.880 out of Turkey?

00:35:12.840 So the first

00:35:13.460 thing I would do

00:35:14.020 is do a slide

00:35:14.840 of countries that

00:35:15.900 we could trust

00:35:16.500 the data or we

00:35:17.400 think we can.

00:35:18.640 How do we look?

00:35:19.640 If we're only

00:35:20.280 compared to the

00:35:20.920 countries that

00:35:23.080 have reasonably

00:35:24.080 good data, do we

00:35:24.980 still look bad?

00:35:26.220 I don't know.

00:35:27.040 I'd have to see.

00:35:28.500 How about

00:35:28.940 countries with

00:35:30.260 different quality

00:35:30.840 of health care?

00:35:31.560 That's got to be

00:35:32.040 a factor.

00:35:32.880 How about

00:35:33.180 different weather,

00:35:34.200 different styles

00:35:34.860 of outdoor living?

00:35:36.900 And then

00:35:37.540 hydroxychloroquine.

00:35:41.380 I hypothesized

00:35:42.860 that if it turns

00:35:44.360 out that

00:35:44.760 hydroxychloroquine

00:35:45.980 works, that we

00:35:47.840 should see a

00:35:48.720 CNN effect,

00:35:50.460 meaning that the

00:35:51.260 more penetration

00:35:52.200 CNN has on

00:35:53.520 the consciousness

00:35:54.840 of the country

00:35:55.640 in other

00:35:56.720 countries, the

00:35:58.120 less likely they

00:35:59.080 would use

00:35:59.480 hydroxychloroquine

00:36:00.520 because CNN has

00:36:01.480 been saying it's

00:36:02.020 poison.

00:36:03.360 So the hypothesis

00:36:05.240 is that if you

00:36:06.200 just took all

00:36:06.920 the CNN

00:36:07.980 countries and

00:36:09.360 compared them to

00:36:10.180 all the non-CNN

00:36:11.480 countries, that

00:36:12.980 the countries who

00:36:13.800 did not watch

00:36:14.720 CNN as much,

00:36:16.720 because I think

00:36:17.260 it has penetration

00:36:17.880 everywhere, but

00:36:18.840 the ones who

00:36:19.200 didn't watch it

00:36:19.880 as much, or

00:36:22.380 wait for it,

00:36:23.500 didn't watch it

00:36:25.040 in English.

00:36:27.040 Because if you

00:36:27.940 don't watch the

00:36:29.240 main, let's say,

00:36:30.680 American news

00:36:32.080 people in

00:36:33.040 English, I

00:36:34.460 don't know if

00:36:34.960 you're watching

00:36:35.520 them at all.

00:36:37.720 So at the

00:36:39.900 same time that I

00:36:40.620 asked this

00:36:41.000 question, and

00:36:42.240 I'm keeping my

00:36:43.680 estimate of

00:36:45.460 whether hydroxychloroquine

00:36:46.740 works at 50%,

00:36:48.100 so later, if it

00:36:49.880 turns out it

00:36:50.420 doesn't work, do

00:36:51.880 not come to me

00:36:52.840 and say, Scott,

00:36:54.200 you said it

00:36:54.640 would work.

00:36:55.440 No, never,

00:36:57.640 never said that.

00:37:00.200 I said, looks

00:37:01.520 like about a

00:37:02.020 50-50 chance to

00:37:03.180 me, based on

00:37:04.480 the unreliable

00:37:05.440 information we're

00:37:06.260 getting.

00:37:06.480 but, but, turns

00:37:09.840 out there's a

00:37:10.340 little kicker

00:37:10.800 today.

00:37:12.960 Not only did

00:37:13.880 the Swiss decide

00:37:14.980 that they're

00:37:15.500 going to use

00:37:15.860 hydroxychloroquine,

00:37:17.120 and can somebody

00:37:18.220 remind me, does

00:37:19.720 Switzerland also

00:37:20.580 have doctors and

00:37:22.520 scientists in

00:37:24.100 Switzerland?

00:37:25.180 Because I was

00:37:25.880 pretty sure that

00:37:26.640 doctors and

00:37:27.520 scientists and

00:37:28.300 experts don't

00:37:29.120 think hydroxychloroquine

00:37:30.320 works.

00:37:31.220 And yet, and

00:37:32.400 yet, suspiciously,

00:37:34.540 the Swiss, who I

00:37:36.100 think have

00:37:36.580 doctors, I

00:37:37.820 think they have

00:37:38.460 experts, they've

00:37:39.720 decided, they've

00:37:40.460 looked at all the

00:37:41.100 information, and

00:37:42.460 while the RPT,

00:37:43.980 gold standard kind

00:37:44.960 of test does not

00:37:46.000 exist for the

00:37:47.060 early use, they've

00:37:48.700 decided that it's

00:37:49.740 worth using.

00:37:51.560 Huh.

00:37:52.580 Oh, that's just

00:37:53.560 an appetizer.

00:37:54.880 Are you ready?

00:37:55.420 Are you ready for

00:37:55.940 the main course?

00:37:57.520 Here it comes.

00:37:58.960 The next thing I

00:38:00.040 tell you, I don't

00:38:00.980 know how much

00:38:02.040 credibility to put

00:38:04.040 on it.

00:38:04.560 I really don't.

00:38:05.460 But, I'll

00:38:07.020 report it.

00:38:07.880 I tweeted it, you

00:38:08.720 can see for

00:38:09.180 yourself.

00:38:10.500 So, Twitter

00:38:11.460 user Gummy

00:38:12.420 Bear, and if

00:38:15.080 you're not

00:38:15.400 following Gummy

00:38:16.100 Bear, just look

00:38:16.900 for my tweet, and

00:38:17.740 you should follow

00:38:18.700 Gummy Bear.

00:38:20.800 Is an alias,

00:38:22.000 obviously, of

00:38:22.460 somebody who knows

00:38:23.440 what they're talking

00:38:23.980 about, but does

00:38:24.880 not want to be

00:38:25.960 public.

00:38:27.380 And a point

00:38:28.460 alerted me to a

00:38:30.000 test, or an

00:38:31.540 analysis by

00:38:32.280 at COVID

00:38:33.140 analysis, another

00:38:34.260 one you should

00:38:34.700 follow.

00:38:36.000 And they're

00:38:37.080 talking about a

00:38:37.660 test, a trial,

00:38:39.180 a pretty big

00:38:39.980 trial.

00:38:41.060 Is it a trial or

00:38:42.480 a study?

00:38:43.540 I guess it would

00:38:44.180 be a study.

00:38:45.620 So, what they did

00:38:46.640 is they looked at

00:38:47.480 all the countries

00:38:48.660 where you were

00:38:49.440 pretty sure, you

00:38:51.020 know, they could

00:38:51.420 verify with experts

00:38:52.780 that hydroxychloroquine

00:38:54.340 was being used

00:38:55.340 early and often.

00:38:57.160 And then they

00:38:57.660 compared it to the

00:38:58.520 basket of countries

00:38:59.520 that were not

00:39:00.820 using it, or were

00:39:02.120 using it sparsely,

00:39:04.280 I guess.

00:39:05.280 What do you think

00:39:05.840 was the difference

00:39:06.660 between the

00:39:07.300 countries that used

00:39:08.340 hydroxychloroquine and

00:39:10.260 the ones that did

00:39:11.100 not?

00:39:11.640 Well, according to

00:39:12.440 this study, and

00:39:14.100 again, remember the

00:39:15.000 context.

00:39:15.920 This is 2020.

00:39:17.720 The most important

00:39:18.600 thing you should keep

00:39:19.400 in your mind whenever

00:39:20.260 you hear data is

00:39:22.040 that it's wrong.

00:39:24.260 Is that it's wrong.

00:39:25.300 All data is wrong.

00:39:27.800 In 2020, all data

00:39:30.260 is unreliable.

00:39:31.440 It's just, I'm

00:39:32.120 sorry, I want this

00:39:33.740 to be true, but

00:39:35.080 they say there was

00:39:35.700 a 79% lower death

00:39:37.440 rate in the

00:39:38.040 countries using

00:39:38.820 hydroxychloroquine

00:39:39.920 early.

00:39:43.400 79%.

00:39:43.920 Is that true?

00:39:45.880 Well, all data

00:39:47.720 is wrong.

00:39:48.600 So, I'm still

00:39:49.440 at 50-50.

00:39:50.960 Now, the fact that

00:39:51.920 they looked at all

00:39:52.720 those countries, it

00:39:53.940 feels like it's

00:39:54.580 something that

00:39:55.060 somebody else

00:39:55.640 could check,

00:39:56.620 right?

00:39:57.340 Doesn't it feel like

00:39:58.140 somebody could say,

00:39:58.900 all right, show me

00:39:59.420 your work, this

00:40:01.400 country you got

00:40:02.060 wrong, take that

00:40:02.920 one out or

00:40:03.420 something.

00:40:04.040 So, I feel as

00:40:04.800 though in the next

00:40:05.420 week or so, people

00:40:07.620 are going to pick it

00:40:08.260 apart and they

00:40:08.960 will either confirm

00:40:09.880 it or they will

00:40:12.080 exclude it.

00:40:12.980 And by the way,

00:40:13.620 this study also

00:40:14.700 made some

00:40:15.780 adjustments for

00:40:17.440 some of the

00:40:18.700 other factors.

00:40:20.020 Some of the

00:40:20.620 other factors such

00:40:21.440 as age, disease,

00:40:22.600 et cetera.

00:40:23.760 Now, I don't

00:40:24.380 think they

00:40:24.780 probably looked

00:40:26.420 at every factor

00:40:27.140 you could look

00:40:27.640 at, but they

00:40:28.500 did take out

00:40:29.100 some of the

00:40:29.700 major ones like

00:40:30.360 age and disease.

00:40:32.960 79% lower

00:40:34.300 death rate.

00:40:35.360 What if that's

00:40:36.080 true?

00:40:38.260 Seriously.

00:40:39.660 What if that's

00:40:40.540 true?

00:40:41.600 Do you know

00:40:42.060 how many people

00:40:42.660 CNN killed if

00:40:43.900 that's true?

00:40:45.180 And I mean

00:40:45.940 that.

00:40:46.640 I mean CNN

00:40:48.240 killed if this

00:40:50.400 is true.

00:40:51.220 Because I do

00:40:52.040 think there's a

00:40:52.700 CNN effect.

00:40:53.600 Now, I use

00:40:54.000 them as a

00:40:54.540 stand-in for

00:40:55.220 the anti-Trump

00:40:56.980 media, but

00:40:57.720 they might have

00:41:00.340 some explaining

00:41:00.900 to do, I

00:41:02.620 think.

00:41:06.680 I heard that

00:41:07.640 Turkey has a

00:41:09.000 good result

00:41:09.820 because partly

00:41:11.620 they're using

00:41:12.100 hydroxychloroquine

00:41:13.180 and partly they

00:41:14.920 say that they

00:41:15.500 have an extensive

00:41:16.340 testing and

00:41:17.420 tracing system.

00:41:18.160 That's right,

00:41:20.380 Turkey reports

00:41:21.460 that they have

00:41:21.880 an extensive

00:41:22.440 testing and

00:41:23.180 tracing system.

00:41:24.160 So you say

00:41:24.900 to yourself,

00:41:25.800 what?

00:41:26.920 If Turkey can 1.00

00:41:27.960 have an extensive

00:41:28.720 testing and

00:41:29.840 tracing system,

00:41:31.020 why can't we

00:41:31.840 have that in

00:41:32.320 the United

00:41:32.580 States?

00:41:33.480 The United

00:41:33.960 States has

00:41:34.440 mostly testing

00:41:35.380 for people who

00:41:36.100 have some

00:41:36.460 symptoms, which

00:41:37.840 is different

00:41:38.320 from testing

00:41:39.820 and tracing in

00:41:40.660 a way that you

00:41:41.180 can actually

00:41:41.640 tamp down the

00:41:43.020 virus.

00:41:43.860 Ours is more

00:41:44.640 a medical

00:41:45.640 diagnosis.

00:41:46.300 testing to

00:41:47.680 see if you

00:41:48.060 have it so

00:41:49.200 that they can

00:41:49.700 treat you and

00:41:50.480 by the way,

00:41:51.220 keep away from

00:41:51.780 other people for

00:41:52.420 a while.

00:41:53.180 But we don't

00:41:53.800 test in the

00:41:54.600 way that we're

00:41:55.060 trying to use

00:41:55.700 testing to

00:41:57.140 suppress the

00:41:58.380 virus.

00:41:58.860 We don't have

00:41:59.340 that.

00:41:59.880 That's what the

00:42:00.440 cheap tests

00:42:01.040 could do if

00:42:02.300 they work.

00:42:03.460 Now, do you

00:42:05.340 believe that

00:42:06.740 Turkey really 0.69

00:42:08.700 has an

00:42:09.200 extensive

00:42:09.600 testing and

00:42:10.820 tracing system?

00:42:12.860 Let me say

00:42:13.520 this, having

00:42:14.220 worked with

00:42:14.860 many large

00:42:15.500 organizations,

00:42:16.620 and in my

00:42:17.380 capacity, not

00:42:18.580 as mind

00:42:19.060 reader, but

00:42:20.600 as the

00:42:21.060 Dilbert

00:42:21.540 creator who

00:42:24.100 knows a

00:42:25.020 thing about

00:42:25.480 bureaucracy,

00:42:27.000 here's my

00:42:28.380 belief.

00:42:29.500 There is no

00:42:30.200 country that's

00:42:31.800 doing testing

00:42:32.600 and contact

00:42:33.320 tracing in

00:42:34.580 any real

00:42:35.460 useful way.

00:42:38.740 Oh, there

00:42:39.300 are countries

00:42:39.860 that say they

00:42:40.540 are.

00:42:41.340 Oh, yeah.

00:42:42.520 Yeah, there

00:42:43.080 are countries

00:42:43.480 that say they're

00:42:44.120 doing it, but

00:42:45.300 it is my

00:42:46.200 belief there

00:42:47.480 is no

00:42:47.900 country doing

00:42:48.560 it.

00:42:49.220 I don't

00:42:49.640 believe it

00:42:50.120 for a second.

00:42:52.040 And remember,

00:42:52.600 all data is

00:42:53.300 wrong.

00:42:54.700 Don't tell me

00:42:55.420 data is plural.

00:42:56.880 I'm not hearing

00:42:57.720 any of it.

00:42:58.700 Data is

00:42:59.340 wrong.

00:43:00.860 And I'm going

00:43:01.600 to make that

00:43:02.000 common usage

00:43:02.620 if it's the

00:43:03.220 last thing I

00:43:03.740 do.

00:43:05.680 Yeah.

00:43:06.480 So, don't

00:43:07.180 believe anything

00:43:07.780 about another

00:43:08.400 country doing

00:43:09.160 all this great

00:43:09.820 testing.

00:43:10.340 That's BS.

00:43:11.420 All right.

00:43:12.580 Have you

00:43:12.880 seen today's

00:43:13.880 latest Biden's

00:43:15.300 brain is not

00:43:16.020 working video?

00:43:18.300 I don't know

00:43:19.840 if they're

00:43:20.200 getting sadder

00:43:21.160 as we go,

00:43:22.760 but I want

00:43:25.380 to have fun

00:43:26.080 with politics

00:43:27.720 because I use

00:43:28.560 it as my

00:43:29.040 entertainment,

00:43:30.080 as many of

00:43:30.720 you do.

00:43:31.360 I want to

00:43:31.960 enjoy the

00:43:33.440 horse race of

00:43:34.480 it.

00:43:34.640 I want to

00:43:34.980 enjoy the

00:43:35.500 election, the

00:43:36.840 back and

00:43:37.340 forth, the

00:43:38.520 tweets.

00:43:39.020 I want to

00:43:39.500 enjoy it.

00:43:40.940 But when I

00:43:41.580 watch Biden

00:43:43.040 struggle to

00:43:44.460 form sentences,

00:43:45.940 I don't have

00:43:47.060 enjoyment from

00:43:47.780 that.

00:43:48.660 I really, that

00:43:49.640 kind of brings

00:43:50.340 me down because

00:43:51.780 whoever is

00:43:54.460 letting him do

00:43:55.200 this is just

00:43:56.120 unkind.

00:43:57.360 It's beyond

00:43:58.140 unkind.

00:43:59.200 It's just,

00:44:00.600 they're just

00:44:01.260 jerks at this

00:44:02.120 point.

00:44:02.640 I mean, the

00:44:03.280 Democrats are

00:44:03.800 just jerks for

00:44:04.920 letting this go

00:44:05.540 on.

00:44:06.460 Now, one

00:44:07.840 assumes they

00:44:08.620 have some

00:44:09.020 kind of

00:44:09.460 plan or

00:44:10.720 backup plan

00:44:11.460 they're working

00:44:11.940 on.

00:44:12.820 But at

00:44:13.980 this point,

00:44:14.600 if you

00:44:14.980 can't manage

00:44:15.900 this, if

00:44:18.420 you can't

00:44:18.840 manage this,

00:44:19.660 it's just

00:44:20.000 one guy who's

00:44:21.240 got a medical

00:44:21.800 problem.

00:44:23.200 Obvious

00:44:23.720 one.

00:44:24.560 If you

00:44:24.920 can't manage

00:44:25.480 this, oh,

00:44:28.280 don't give me

00:44:28.980 stutters.

00:44:30.240 Come on.

00:44:30.940 We're way

00:44:31.360 past that.

00:44:32.680 We're way

00:44:33.400 past it's a

00:44:34.160 stutter.

00:44:35.360 We're not

00:44:35.620 even close

00:44:36.060 to that.

00:44:36.440 But I

00:44:40.120 hear what

00:44:40.420 you're

00:44:40.560 saying.

00:44:44.880 My

00:44:45.480 personal

00:44:47.100 opinion is

00:44:47.800 there isn't

00:44:48.240 the slightest

00:44:48.800 chance that

00:44:49.560 Joe Biden

00:44:50.000 can win the

00:44:50.600 presidency.

00:44:51.640 I think all

00:44:52.600 the polls will

00:44:53.380 just continue

00:44:54.120 narrowing.

00:44:57.800 And they'll

00:44:58.500 just narrow

00:44:59.100 until the

00:44:59.700 president has

00:45:00.280 a solid lead

00:45:01.240 vote, or

00:45:02.760 at least

00:45:03.300 maybe they'll

00:45:03.740 get close.

00:45:04.620 Actually, some

00:45:05.680 of the polls

00:45:06.160 I assume

00:45:07.240 are fake.

00:45:08.420 So there

00:45:08.760 should be

00:45:09.260 some polls

00:45:09.800 that show

00:45:10.180 it's close

00:45:10.840 on election

00:45:11.380 day because

00:45:11.880 they'll be

00:45:12.100 trying to

00:45:12.440 get their

00:45:12.720 people out

00:45:13.140 to vote.

00:45:14.060 But I

00:45:14.420 think the

00:45:14.780 ones that

00:45:15.180 are accurate,

00:45:16.600 if I had

00:45:17.080 to guess,

00:45:18.200 I'll bet on

00:45:18.660 election day

00:45:19.260 Rasmussen is

00:45:20.180 going to say

00:45:20.600 that Trump

00:45:21.140 is ahead.

00:45:22.920 So that's

00:45:23.280 my prediction.

00:45:24.340 My prediction

00:45:24.900 is that on

00:45:25.520 election day

00:45:26.200 Rasmussen may

00:45:27.980 be standing

00:45:28.580 alone or

00:45:30.220 possibly with

00:45:31.020 a few

00:45:31.680 credible

00:45:32.280 polls

00:45:33.720 saying that

00:45:34.760 Trump is

00:45:35.120 going to

00:45:35.380 win, and

00:45:36.000 maybe the

00:45:36.500 others will

00:45:37.080 not, if

00:45:38.320 they're maybe

00:45:39.780 not as

00:45:40.340 accurate, or

00:45:42.420 not as

00:45:43.040 honest, if

00:45:44.280 you will.

00:45:45.460 So,

00:45:47.160 yeah, the

00:45:50.180 Biden

00:45:51.320 situation, I'd

00:45:53.120 love to tell

00:45:53.680 you that it's

00:45:54.460 stuttering,

00:45:55.640 because most

00:45:57.340 of you know I

00:45:57.860 had a voice

00:45:58.400 problem for

00:45:59.000 several years.

00:46:00.220 10 years

00:46:01.640 ago, and

00:46:02.820 I tried to

00:46:04.580 form sentences

00:46:05.360 that I could

00:46:06.120 say, like a

00:46:07.360 stutterer does,

00:46:08.320 as opposed to

00:46:09.200 sentences that

00:46:10.100 were the right

00:46:10.600 words.

00:46:11.540 So you end

00:46:12.360 up saying all

00:46:13.880 these weird,

00:46:14.560 awkward, stilted

00:46:16.280 sentences, because

00:46:17.300 it's what you

00:46:18.480 think you can

00:46:19.060 get out, as

00:46:20.000 opposed to what

00:46:20.540 you think would

00:46:20.980 be the best

00:46:21.440 choice of words.

00:46:22.600 So I get

00:46:23.320 that, but

00:46:24.700 that's not what

00:46:25.300 I'm seeing.

00:46:26.200 That's not what

00:46:26.760 I'm seeing at

00:46:27.200 all.

00:46:27.360 And, you

00:46:28.220 know, as

00:46:29.040 a fellow

00:46:29.620 sufferer of

00:46:30.940 exactly that,

00:46:32.100 not a

00:46:32.540 stutter, but a

00:46:33.680 voice problem

00:46:34.240 that caused me

00:46:34.920 to do work

00:46:35.600 arounds the

00:46:36.140 same way, I

00:46:37.860 think I'd

00:46:38.340 know what it

00:46:38.720 looked like.

00:46:41.160 Somebody's

00:46:41.640 asking about

00:46:42.200 Kamala.

00:46:42.960 Well, I

00:46:43.460 think she's

00:46:43.880 still top

00:46:44.600 choice.

00:46:46.540 I don't see

00:46:47.420 any of the

00:46:47.820 other candidates

00:46:48.760 that have been

00:46:49.700 mentioned as

00:46:50.580 even being in

00:46:51.240 the top tier.

00:46:52.040 I can't even

00:46:52.520 imagine at this

00:46:53.260 point.

00:46:53.480 But, you

00:46:54.420 know, the

00:46:54.660 vice president

00:46:55.300 pick is the

00:46:56.220 hardest to

00:46:57.460 predict.

00:46:58.780 You know, all

00:46:59.160 of the smartest

00:47:00.400 political people

00:47:01.220 will tell you the

00:47:01.780 same thing.

00:47:02.660 That if there's

00:47:03.280 one thing hard

00:47:03.960 to predict, it's

00:47:05.280 who the vice

00:47:06.140 president pick

00:47:06.940 will be.

00:47:07.680 Because lots of

00:47:08.380 times they just

00:47:08.860 come out of

00:47:09.180 left field.

00:47:10.340 You know, Mike

00:47:10.800 Pence was not

00:47:11.580 on my radar.

00:47:13.060 You know, so

00:47:13.380 when I was

00:47:13.820 guessing who

00:47:14.500 Trump would

00:47:15.500 pick, I just

00:47:16.160 guessed from

00:47:17.000 that small pool

00:47:17.900 of people that

00:47:18.640 I heard of and

00:47:19.540 seemed like they

00:47:20.560 fit.

00:47:21.760 And, you

00:47:22.480 know, so I

00:47:23.000 missed that one

00:47:23.480 by a mile.

00:47:24.540 And I

00:47:25.080 wouldn't be

00:47:25.400 surprised if

00:47:25.980 I'm wrong

00:47:26.380 with the

00:47:26.960 Kamala

00:47:27.280 situation.

00:47:29.060 But let me

00:47:29.460 ask you this.

00:47:31.920 So, and I

00:47:33.300 like to remind

00:47:33.920 you of this,

00:47:34.480 because if I

00:47:34.980 get this right,

00:47:35.900 this will be

00:47:36.380 my greatest

00:47:36.920 prediction.

00:47:38.160 And the

00:47:38.500 prediction was

00:47:39.240 from 2018, I

00:47:40.500 said it was

00:47:40.860 Kamala Harris

00:47:41.480 would be the

00:47:41.900 head of the

00:47:42.300 ticket, you

00:47:43.360 know, the

00:47:43.660 nominee.

00:47:44.980 When she

00:47:45.660 dropped out, I

00:47:46.840 doubled down

00:47:47.660 and said she's

00:47:48.480 going to be

00:47:48.920 the nominee.

00:47:50.720 After she

00:47:51.420 dropped out,

00:47:52.240 can you

00:47:53.400 sit for a

00:47:54.640 moment and

00:47:55.120 register that

00:47:55.900 in your

00:47:56.140 mind, that

00:47:57.320 I predicted

00:47:58.060 in public that

00:47:59.580 she would be

00:48:00.060 the nominee

00:48:00.680 after she

00:48:02.400 dropped out?

00:48:04.220 Do you

00:48:04.760 realize how

00:48:05.280 big of a

00:48:09.460 reach that

00:48:10.880 was?

00:48:11.960 And here we

00:48:12.500 are.

00:48:13.220 If I had to

00:48:14.080 ask you, is

00:48:14.940 it more likely

00:48:15.620 that Biden

00:48:16.180 will continue

00:48:17.100 through the

00:48:18.020 nomination process,

00:48:19.560 become the

00:48:20.080 nominee and

00:48:21.200 go on to

00:48:21.920 finish as

00:48:23.680 the nominee

00:48:24.100 on election

00:48:24.700 day?

00:48:25.400 After you

00:48:26.080 saw this

00:48:26.600 video today,

00:48:28.260 if you

00:48:28.600 saw it,

00:48:29.500 watch this

00:48:30.080 video today

00:48:30.860 and tell me

00:48:31.940 you think

00:48:32.440 that the

00:48:32.900 Democrats are

00:48:33.580 going to go

00:48:33.960 ahead and

00:48:34.480 nominate him

00:48:35.140 for the

00:48:35.560 top of the

00:48:36.000 ticket.

00:48:36.860 And if he's

00:48:37.480 not at the

00:48:37.940 top of the

00:48:38.420 ticket, who

00:48:40.520 is?

00:48:42.200 Now, I

00:48:43.640 ask you

00:48:44.040 this, if

00:48:45.620 Kamala

00:48:46.400 Harris does

00:48:47.180 not get

00:48:48.080 selected as

00:48:49.020 the vice

00:48:49.540 president, is

00:48:52.100 it because

00:48:52.500 they're holding

00:48:53.020 out that she

00:48:53.960 might be the

00:48:54.440 top of the

00:48:54.860 ticket?

00:48:57.200 I'm just

00:48:57.760 putting it

00:48:58.100 out there.

00:48:59.120 We've, you

00:48:59.700 know, I

00:49:01.040 don't think you

00:49:01.480 can guarantee

00:49:02.000 at this point

00:49:02.920 that Kamala

00:49:03.620 will be the

00:49:04.040 choice, because

00:49:04.640 like I said,

00:49:05.180 the vice

00:49:05.440 president is

00:49:05.880 just too

00:49:06.180 hard to

00:49:06.460 pick.

00:49:07.220 No matter

00:49:07.880 how smart

00:49:08.360 you are,

00:49:08.740 no matter

00:49:09.080 how good

00:49:09.420 you are,

00:49:10.080 it's just

00:49:10.560 hard to

00:49:10.920 pick.

00:49:11.700 So I'd

00:49:12.920 probably bet

00:49:13.340 against myself

00:49:14.120 if I had to

00:49:14.680 place a bet.

00:49:15.620 But I'm

00:49:15.940 going to

00:49:16.120 stick with

00:49:16.520 it, I'm

00:49:17.340 going to

00:49:17.480 stick with

00:49:17.900 it, and

00:49:18.260 I'm going

00:49:18.480 to say,

00:49:19.240 we've never

00:49:19.820 been so

00:49:20.480 close to

00:49:22.640 Kamala

00:49:23.000 Harris being

00:49:23.700 the nominee.

00:49:25.640 We've never

00:49:26.060 been that

00:49:26.480 close.

00:49:27.740 So if it

00:49:28.600 doesn't happen,

00:49:29.100 it doesn't

00:49:29.420 happen, but

00:49:29.960 we're close.

00:49:32.080 All right.

00:49:36.220 Was I

00:49:36.860 using daily

00:49:37.480 affirmations for

00:49:38.460 that prediction?

00:49:39.180 I was not.

00:49:41.340 You know, I

00:49:42.180 was trying to

00:49:42.600 figure out what

00:49:43.260 it was that

00:49:45.200 made me

00:49:45.620 think Kamala

00:49:46.880 Harris was

00:49:47.780 the one.

00:49:49.220 And some

00:49:50.880 of it was,

00:49:51.620 you know,

00:49:51.980 she's a

00:49:53.020 senator, and

00:49:54.080 she was good 0.66

00:49:55.940 in at least

00:49:56.700 the committee

00:49:57.200 hearings.

00:49:57.680 She wasn't

00:49:57.980 so good as

00:49:58.500 a campaigner.

00:49:59.840 But, you

00:50:00.660 know, she's

00:50:01.600 a woman of

00:50:03.080 color.

00:50:03.900 I mean, all

00:50:04.300 of that seemed

00:50:04.800 good.

00:50:06.100 But I was

00:50:06.540 looking at it

00:50:07.000 the other day,

00:50:07.520 and she has

00:50:08.560 predator eyes.

00:50:11.300 And I

00:50:13.720 asked myself,

00:50:14.640 I wonder if

00:50:15.520 that's predictive.

00:50:18.140 Predator eyes.

00:50:19.960 Meaning that you

00:50:20.760 look at her and

00:50:21.380 you say, oh,

00:50:22.380 yeah, she could

00:50:22.900 kill somebody. 0.91

00:50:24.780 Right?

00:50:26.360 You want your

00:50:27.460 president to be

00:50:28.760 able to kill

00:50:29.280 somebody.

00:50:30.540 I want a

00:50:31.340 president that I

00:50:32.300 know if there

00:50:34.060 was a home

00:50:34.560 invasion, let's 0.99

00:50:35.340 say they weren't

00:50:35.920 actually the

00:50:36.480 president with

00:50:37.040 secret service,

00:50:37.720 because I

00:50:38.460 want to know

00:50:38.980 that if my

00:50:39.560 president, the

00:50:40.780 person whose

00:50:41.440 personality I'm

00:50:42.360 trusting to

00:50:42.920 defend the

00:50:43.440 country, I

00:50:44.540 want to know if

00:50:45.200 they were the

00:50:45.600 victim of a

00:50:46.160 home invasion and

00:50:47.740 they got the

00:50:48.240 upper hand on

00:50:48.920 the invader, that

00:50:50.040 they would finish

00:50:50.660 him off, that

00:50:52.160 they would actually

00:50:52.680 kill him, that 0.62

00:50:54.460 they could take a

00:50:55.220 life in person.

00:50:57.460 Could Kamala

00:50:58.140 Harris, just look

00:50:58.940 at her and ask 0.98

00:51:00.040 me this, does

00:51:01.060 she look like she

00:51:01.880 could take a

00:51:02.560 life in person?

00:51:05.440 I think yes.

00:51:06.620 Right?

00:51:08.500 Look at Hillary 1.00

00:51:09.320 Clinton.

00:51:10.120 Okay, I don't

00:51:10.620 even have to

00:51:11.020 finish the

00:51:11.480 question right.

00:51:12.180 You look at

00:51:12.600 Hillary and you

00:51:13.120 say, could she

00:51:14.160 take somebody's

00:51:15.020 life in person?

00:51:17.860 Probably so.

00:51:19.240 Probably so.

00:51:20.360 Could Trump take

00:51:21.860 somebody's life,

00:51:23.600 you know, if there

00:51:24.160 was a reason, in

00:51:25.640 person?

00:51:26.960 Yeah, yeah, I

00:51:27.780 think he could.

00:51:28.880 I think he

00:51:29.260 could.

00:51:30.440 So, and even

00:51:31.140 Obama, I would

00:51:32.680 say, was a

00:51:33.620 predator.

00:51:35.240 Right?

00:51:35.820 Meaning that you

00:51:36.600 look at him and

00:51:37.180 you say, does he

00:51:39.020 have what it

00:51:39.920 takes?

00:51:40.980 Like, if he

00:51:41.660 had to shoot

00:51:42.520 Bin Laden

00:51:43.280 himself, maybe

00:51:44.860 that's too easy,

00:51:45.620 everybody would

00:51:46.080 shoot him.

00:51:47.100 But, could

00:51:48.280 Obama kill

00:51:48.900 somebody in

00:51:49.600 person if he

00:51:50.540 had to?

00:51:51.600 I think so.

00:51:53.140 I think so.

00:51:54.480 So, it has

00:51:55.980 nothing to do

00:51:56.480 with being

00:51:58.720 white or black.

00:51:59.720 So, whoever

00:52:00.340 said that, you're

00:52:01.520 on the wrong

00:52:01.960 planet.

00:52:02.320 Um, I

00:52:03.500 think that we

00:52:04.120 may pick our

00:52:04.940 presidents based

00:52:06.740 on, uh, just

00:52:08.340 a feeling that

00:52:09.940 they look more

00:52:10.600 like predators

00:52:11.420 than prey.

00:52:13.340 Uh, let's

00:52:13.900 take Jimmy

00:52:14.400 Carter.

00:52:15.520 Did Jimmy

00:52:16.000 Carter strike

00:52:17.000 you as someone

00:52:17.780 who could kill

00:52:19.620 somebody if he

00:52:21.240 had to?

00:52:22.780 Nope.

00:52:24.160 He only served

00:52:25.380 one term.

00:52:26.900 How about

00:52:27.320 George Bush

00:52:28.180 Senior?

00:52:30.680 That's, that's

00:52:31.400 sort of a

00:52:31.760 harder one.

00:52:32.920 Um, but, but

00:52:34.700 does he seem

00:52:35.300 like he could

00:52:35.900 kill somebody

00:52:36.640 in person?

00:52:37.800 Well, he

00:52:38.200 could.

00:52:39.240 George Bush

00:52:39.820 Senior could.

00:52:40.860 I was going

00:52:41.160 to say he

00:52:41.480 was a one-term

00:52:42.660 president, but

00:52:43.380 yeah, both of

00:52:45.400 the Bushes

00:52:45.860 could kill

00:52:46.260 somebody in

00:52:46.780 person.

00:52:47.120 They both

00:52:47.420 look like

00:52:47.760 predators to

00:52:49.840 me.

00:52:51.960 All right.

00:52:53.140 Uh, that's

00:52:53.820 just a theory

00:52:54.360 that we want

00:52:55.720 predators as

00:52:56.740 presidents because

00:52:57.680 they, in

00:52:58.160 effect, they're

00:52:58.700 being a

00:52:59.060 predator on

00:52:59.840 our behalf.

00:53:00.700 That's all I

00:53:01.240 got for you

00:53:01.600 today, and I

00:53:02.260 will talk to

00:53:02.680 you tomorrow.

Real Coffee with Scott Adams - August 05, 2020

Episode 1082 Scott Adams： Beirut, Biden, Rapid Testing Option, Tik Tok Sale to Microsoft, Ranking Pandemic Leadership by Country

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