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.

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,

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

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

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,

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.

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

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

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

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

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

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

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

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

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.

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

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

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

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

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

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

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

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

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.

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

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

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

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

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

Episode Stats

Length

Words per Minute

Word Count

Sentence Count

Misogynist Sentences

Hate Speech Sentences

Summary

Transcript