Real Coffee with Scott Adams - Episode 1492 Scott Adams： Dr. Fauci versus Rand Paul Rematch, and Lots of New Information About the Things You Care About

00:00:00.000 Good morning, everybody. It's time for one of the best...

00:00:04.260 No, hold on. The best thing in the universe.

00:00:07.240 It's called Coffee with Scott Adams, and it's going to happen really soon.

00:00:13.160 Like it's happening now, really.

00:00:15.340 But the simultaneous sip is coming up also,

00:00:18.400 and all you need for that is a cup or mug or a glass, a tanker,

00:00:21.160 a canteen jug or a flask, a vessel of any kind.

00:00:24.320 Fill it with your favorite liquid.

00:00:25.640 I like coffee. And join me now for the unparalleled pleasure,

00:00:31.380 the dopamine to the day, the thing that makes all of your receptors receptive.

00:00:36.180 It's called the simultaneous sip, and it's going to happen right now. Go.

00:00:46.480 Divine. Delightful.

00:00:49.240 Well, a little note to the locals' developers.

00:00:52.780 Looks like your new version is working.

00:00:55.640 I like the new options, but I can't see myself.

00:00:59.480 So my self-image is about 10% of the lighting value it normally is.

00:01:06.740 So you might want to take a look at that.

00:01:09.980 In the news, El Salvador today became the first country

00:01:14.000 to accept Bitcoin as legal tender.

00:01:17.460 So does that mean that Bitcoin is here to stay?

00:01:22.620 It kind of feels like it, doesn't it?

00:01:25.140 I do not make recommendations for crypto or finances in general,

00:01:32.080 so don't get any financial advice from me,

00:01:35.060 but it should be noted that the thing that gives any currency value

00:01:41.240 is whether or not a country will accept it.

00:01:48.100 Because if a country will accept a cryptocurrency to pay taxes,

00:01:53.140 then the cryptocurrency will always have value

00:01:56.060 as long as there's a country that will accept them.

00:01:58.260 Because even if you didn't have any reason to pay taxes in that country,

00:02:03.440 the people who do, they need Bitcoins.

00:02:06.220 So they might have to buy them from you to pay their taxes.

00:02:09.040 For example.

00:02:10.040 That's a bad example.

00:02:11.040 But the point is that if you can find one big country

00:02:14.040 that's taking Bitcoins,

00:02:15.520 it goes a long way to making it permanent.

00:02:20.900 You know, one country isn't enough, probably,

00:02:23.400 but it seems like a big step.

00:02:25.420 I think we've got to keep our eye on that.

00:02:27.620 There's a billionaire looking to build a city of the future.

00:02:32.560 I think this is going to be the next big, big thing.

00:02:37.040 As in, so big you can hardly believe it big.

00:02:40.200 As big as climate change,

00:02:43.320 as big as maybe even the, I don't know, the energy market.

00:02:47.140 I mean, it could be big.

00:02:48.400 And that is designing a city.

00:02:51.340 Because right now we design homes,

00:02:54.260 we design rooms, we design products,

00:02:56.440 we design cars.

00:02:58.760 But you know what?

00:02:59.600 We don't design the city.

00:03:02.460 Because the cities tend to just grow up over time.

00:03:04.820 You know, they tend to be near a port.

00:03:07.500 They evolve in whatever way they evolve.

00:03:09.520 So you end up with a completely unlivable urban centre.

00:03:14.540 Now suppose you started with a greenfield,

00:03:17.880 and you started from scratch to make everything work better.

00:03:21.880 One of the things that they're building into this city of the future,

00:03:25.220 should it be funded, I don't think it's quite funded yet,

00:03:28.380 would be that you could get to everything within 15 minutes.

00:03:32.460 So your work, your shopping,

00:03:34.700 everything would be within 15 minutes.

00:03:36.660 Imagine being close to everything you need.

00:03:41.220 You know, in today's world,

00:03:42.320 people are commuting two hours a day or more,

00:03:45.780 quite fairly frequently.

00:03:47.900 But imagine if you didn't have to do that.

00:03:49.960 And imagine if you made everything eco-friendly,

00:03:53.260 and you designed it so that it would be a natural way

00:03:56.220 to socialize with your neighbours,

00:03:57.680 instead of scurrying in and out of locked doors.

00:04:00.840 So there's a lot we could do there.

00:04:02.200 I think that this redesigning cities from scratch

00:04:05.860 could be the biggest economic driver of the next 100 years.

00:04:11.640 So that's my big prediction,

00:04:13.680 that designed cities will be the next big, big, big thing.

00:04:18.160 Because remember, there are a lot of billionaires in big companies

00:04:20.840 that can no longer do small things.

00:04:24.180 Take Apple Computer.

00:04:25.820 Apple Computer is so big

00:04:27.440 that if it takes on a new line of business,

00:04:31.240 that new line of business has to have

00:04:33.040 potentially an enormous revenue,

00:04:36.520 or else it's not worth it to them,

00:04:38.340 because they can't do little stuff.

00:04:40.000 Little stuff's not worth the time.

00:04:41.260 So as you have these mega-corporations

00:04:44.660 and mega-rich people like Musk and Bezos,

00:04:49.320 they're going to look for stuff to do

00:04:50.960 that is the size they need it to.

00:04:54.040 Now Musk and Bezos are looking at space,

00:04:58.240 because space is one of those few things that's big enough.

00:05:01.600 You can put a lot of money into space,

00:05:04.020 and maybe the returns will be worth it.

00:05:06.560 But building a city is something you can do on this planet

00:05:10.000 that I think a lot of big billionaire types

00:05:12.800 and big companies are going to get interested in it.

00:05:15.420 All right, here's some new information

00:05:16.620 on breakthrough COVID cases when you're vaccinated.

00:05:22.200 Were you under the impression

00:05:23.740 that being vaccinated didn't make much difference

00:05:27.320 in terms of whether you would catch the virus?

00:05:30.920 Now you did understand that if you had a vaccination,

00:05:34.160 your odds of getting sick,

00:05:36.060 you know, desperately sick from the virus were low.

00:05:39.340 I think everybody knew that by now.

00:05:41.800 But you still thought you could get it,

00:05:44.620 which is still true,

00:05:45.760 and you still thought that maybe you could pass it along

00:05:48.660 just like somebody who had not been vaccinated.

00:05:52.080 Turns out that's not even close to true.

00:05:55.700 And it was confusing because we thought that

00:05:58.280 vaccinated people had as much of a viral load

00:06:01.920 in their mouth and nose as unvaccinated people,

00:06:05.300 maybe even more.

00:06:06.100 And so logically you said to yourself,

00:06:08.560 wait a minute,

00:06:09.320 if these vaccinated people have all this virus

00:06:12.640 in their mouth and nose,

00:06:15.280 they must be able to spread it.

00:06:17.300 And sure enough, they can.

00:06:19.220 But the odds of spreading it if you are vaccinated

00:06:22.000 are just vanishingly small.

00:06:24.680 Or actually the odds of getting it in the first place

00:06:27.640 if you're vaccinated is about 1 in 5,000.

00:06:31.660 And it could be as low as 1 in 10,000.

00:06:36.420 So if you're vaccinated,

00:06:38.440 you can still get the virus.

00:06:40.940 But your odds of getting it are,

00:06:42.720 you know, vanishingly small.

00:06:45.800 Vanishingly small.

00:06:46.880 So small that you can actually ignore it.

00:06:49.740 I mean, it's small enough that you don't even need

00:06:51.480 to put it into your consideration.

00:06:53.340 But it exists.

00:06:54.620 So that's the New York Times.

00:06:55.840 David Leonhardt did an article on that.

00:06:58.380 And one of the takeaways is that

00:07:01.480 the amount of viral load in your mouth and nose

00:07:04.480 probably is irrelevant

00:07:07.260 when comparing vaccinated versus unvaccinated.

00:07:10.900 Probably doesn't make any difference

00:07:11.940 because in the real world,

00:07:13.140 they can't find the difference.

00:07:15.300 Well, there's yet more information

00:07:16.960 telling us that narcissism works.

00:07:20.120 There's a new paper by Italian researchers

00:07:22.580 that found that when people have

00:07:25.360 a high degree of narcissism,

00:07:27.080 they are far more likely to be promoted.

00:07:31.020 29% faster in their career progression.

00:07:34.240 No surprise, right?

00:07:35.700 People who are self-promoters 0.88

00:07:37.780 and tell you that they're awesome

00:07:39.320 and they did a great job,

00:07:41.140 people believe them.

00:07:43.400 And then they promote them.

00:07:45.120 So being a narcissist is actually,

00:07:47.180 it's actually a benefit.

00:07:51.080 It's a clear economic benefit.

00:07:53.640 Now, I think that's why narcissism

00:07:56.780 is not called a mental disorder

00:07:58.240 because if you call it a mental disorder,

00:08:01.120 it suggests that it's bad

00:08:02.100 for the person who has it.

00:08:04.320 But it doesn't seem to be.

00:08:05.940 It seems to be maybe good

00:08:07.280 for the person who has it.

00:08:08.580 They don't mind at all.

00:08:10.080 It's just bad for the people around them.

00:08:12.900 So I think it's called

00:08:13.940 a personality disorder,

00:08:16.880 narcissism,

00:08:18.200 as opposed to a mental disorder.

00:08:19.940 So here's CNN's anecdotal persuasion

00:08:24.220 for the day.

00:08:25.080 I've been telling you

00:08:25.700 that every single day

00:08:26.780 they'll do one

00:08:28.460 and probably only one story

00:08:30.800 about somebody who wishes

00:08:32.520 they'd been vaccinated.

00:08:34.120 Darn it.

00:08:35.460 And sure enough,

00:08:36.180 there's a Nevada mother, 0.77

00:08:37.480 Christina Lowe,

00:08:38.780 is urging others to get vaccinated

00:08:40.640 after losing her husband

00:08:42.300 to the virus,

00:08:43.060 saying that they thought

00:08:44.900 the virus was, quote,

00:08:46.100 a political game.

00:08:47.960 That's right.

00:08:48.720 People dying from the virus

00:08:51.480 who once thought

00:08:53.480 the vaccination was fake

00:08:55.180 and that the virus

00:08:56.200 was not even real.

00:08:58.420 One of these stories

00:08:59.600 every single day.

00:09:01.680 Now, when I told you

00:09:03.260 that CNN was going to run

00:09:04.400 one of these stories every day,

00:09:06.740 did you believe

00:09:07.400 that it would really be every day

00:09:08.740 and that it would be

00:09:09.900 a different story?

00:09:11.420 Same story, but different.

00:09:13.560 Every day?

00:09:14.500 Just one?

00:09:15.000 I'm reading them out

00:09:18.220 every day, right?

00:09:20.000 Can you predict

00:09:20.880 that tomorrow

00:09:21.540 there will be a story

00:09:22.540 about somebody,

00:09:23.440 just one,

00:09:24.480 just one story

00:09:25.460 on CNN's page

00:09:26.900 about yet a new person

00:09:28.880 who wishes

00:09:29.680 they'd been vaccinated

00:09:30.620 because their family member died?

00:09:33.500 So, look for that.

00:09:36.840 Michael Schellenberger

00:09:38.040 is dunking on

00:09:40.900 the renewable

00:09:41.680 energy people

00:09:43.540 in Europe

00:09:44.740 and points out

00:09:46.680 that Britain

00:09:47.700 and others

00:09:48.280 are burning

00:09:48.780 more coal

00:09:49.660 lately

00:09:51.040 because natural gas

00:09:52.300 prices went up.

00:09:53.920 That's one of the reasons.

00:09:55.380 So they had to

00:09:55.920 start burning

00:09:56.960 more natural coal.

00:09:57.960 but there was

00:09:59.660 another reason

00:10:00.240 that they needed

00:10:00.840 a lot of natural coal.

00:10:03.580 Turns out

00:10:04.260 they have a lot

00:10:04.880 of windmills

00:10:05.500 in Great Britain

00:10:06.420 and the wind

00:10:08.280 didn't blow much

00:10:08.980 this year.

00:10:10.680 Yes, natural coal.

00:10:12.480 That's right.

00:10:13.240 I said natural coal

00:10:14.260 and I meant it.

00:10:15.800 The kind that comes

00:10:16.420 right out of the ground.

00:10:18.240 So,

00:10:19.160 what did it make

00:10:21.080 of the fact

00:10:21.540 that the wind

00:10:22.100 might stop blowing?

00:10:24.200 What?

00:10:25.400 Apparently

00:10:25.840 there's a pretty big

00:10:26.680 difference from

00:10:27.320 year to year

00:10:27.900 about how much

00:10:28.440 wind you get.

00:10:30.040 I don't think

00:10:30.540 I knew that.

00:10:31.500 I mean,

00:10:31.700 I knew that

00:10:32.240 hurricanes can differ

00:10:33.360 but I would have

00:10:34.740 thought that

00:10:35.260 if you took

00:10:35.660 the average

00:10:36.240 of the wind

00:10:37.000 of every day

00:10:37.680 for a year

00:10:38.540 it would look

00:10:39.740 a lot,

00:10:40.320 you know,

00:10:40.500 one year would

00:10:41.000 look a lot

00:10:41.360 like another year

00:10:42.180 but apparently

00:10:43.160 not.

00:10:43.960 Apparently

00:10:44.120 you could have

00:10:44.580 a windy year

00:10:45.320 and a non-windy year.

00:10:47.440 So,

00:10:48.000 that's a problem

00:10:49.200 and then I ask

00:10:50.280 you this question.

00:10:52.880 With climate change

00:10:54.460 shouldn't it

00:10:56.100 be windier

00:10:57.060 can somebody

00:10:58.820 give me

00:10:59.200 a fact check

00:11:00.000 on that?

00:11:00.520 If all we're

00:11:02.120 talking about

00:11:02.680 lately is

00:11:03.300 hey,

00:11:03.660 that big storm

00:11:04.460 must be

00:11:04.980 climate change

00:11:05.880 and that hurricane

00:11:07.240 must be

00:11:07.760 climate change

00:11:08.640 and that flood

00:11:09.300 must be

00:11:09.740 climate change

00:11:10.480 and maybe

00:11:11.820 they are.

00:11:12.480 I'm not saying

00:11:13.280 they are

00:11:13.740 or not

00:11:14.480 but if those

00:11:16.120 are all

00:11:16.460 climate change

00:11:17.260 wouldn't the

00:11:19.220 lack of wind

00:11:20.320 quite logically

00:11:23.260 be

00:11:23.920 at least

00:11:24.840 you would

00:11:25.200 suspect

00:11:25.840 had to do

00:11:27.400 with climate

00:11:27.840 change?

00:11:29.300 Now,

00:11:30.000 my instinct

00:11:31.060 would be

00:11:31.380 that climate

00:11:31.820 change would

00:11:32.300 make the wind

00:11:32.880 stronger

00:11:33.600 because there

00:11:35.120 would be

00:11:35.380 more differences

00:11:36.640 in temperature.

00:11:38.720 You know,

00:11:39.020 this is my

00:11:39.520 dumb

00:11:39.900 non-scientist

00:11:40.760 take

00:11:41.060 that probably

00:11:42.640 it creates

00:11:43.180 more imbalances

00:11:44.260 and is it

00:11:45.620 not the

00:11:45.980 imbalances

00:11:46.620 of temperature

00:11:47.640 and pressure

00:11:48.640 that causes 0.52

00:11:49.800 the wind?

00:11:50.980 I'm not sure

00:11:51.860 I know what

00:11:52.240 I'm talking

00:11:52.680 about so

00:11:53.400 I put a lot

00:11:55.700 of skepticism

00:11:56.440 on everything

00:11:56.960 I say about

00:11:57.580 weather

00:11:57.880 but

00:11:58.780 if every

00:12:01.400 negative thing

00:12:02.660 that happens

00:12:03.240 in the world

00:12:04.740 is because

00:12:05.300 of climate

00:12:06.020 change,

00:12:06.520 why not

00:12:08.380 the lack

00:12:08.840 of wind?

00:12:11.140 I mean,

00:12:11.600 it should

00:12:12.420 make some

00:12:12.960 difference,

00:12:13.500 right?

00:12:13.820 Climate change

00:12:14.540 should change

00:12:15.100 the wind

00:12:15.440 one way

00:12:15.920 or the other.

00:12:16.680 It's not

00:12:17.280 going to be

00:12:17.520 the same,

00:12:18.320 will it?

00:12:19.440 So it's

00:12:20.060 either going

00:12:20.360 to make it

00:12:20.680 better or

00:12:21.040 worse for

00:12:21.440 windmills

00:12:21.860 and I

00:12:22.360 think that

00:12:22.800 that's

00:12:23.200 probably

00:12:23.560 something

00:12:23.940 we should

00:12:24.360 understand.

00:12:27.080 You may

00:12:27.720 remember

00:12:28.140 that

00:12:28.520 Naval

00:12:29.480 Ravikant

00:12:30.140 on one

00:12:32.000 of my

00:12:32.300 early

00:12:32.680 live streams

00:12:33.260 indicated

00:12:35.000 that addiction

00:12:35.660 is probably

00:12:36.200 going to be

00:12:36.540 the big

00:12:36.880 challenge

00:12:37.260 of the

00:12:37.520 future.

00:12:38.600 Now,

00:12:38.940 he was

00:12:39.240 talking about

00:12:39.680 drug addiction

00:12:40.240 but I

00:12:41.300 think it's

00:12:41.620 bigger than

00:12:42.080 that.

00:12:42.760 Or actually

00:12:43.180 maybe he

00:12:43.640 wasn't talking

00:12:44.160 about just

00:12:44.580 drug addiction

00:12:45.340 but I'll

00:12:46.080 expand it

00:12:46.560 anyway.

00:12:47.400 Because we're

00:12:48.120 addicted now

00:12:48.740 to everything

00:12:49.240 from phones,

00:12:50.280 games,

00:12:50.900 drugs,

00:12:51.720 fast food,

00:12:52.480 social media

00:12:53.060 and here's

00:12:56.100 the real

00:12:56.440 problem.

00:12:57.940 That the

00:12:58.400 technology for

00:12:59.520 getting somebody

00:13:00.180 addicted to

00:13:01.940 anything is

00:13:03.380 way,

00:13:04.100 way better

00:13:04.500 than it

00:13:04.840 used to be.

00:13:06.200 So you

00:13:07.040 can get

00:13:07.440 somebody

00:13:07.800 addicted to

00:13:08.400 food by

00:13:09.620 manipulating

00:13:10.140 the amount

00:13:10.820 of sugar,

00:13:11.880 fat and

00:13:12.380 salt in

00:13:13.160 it.

00:13:13.500 And there's

00:13:13.800 a formula

00:13:14.300 which is

00:13:14.780 known,

00:13:16.160 it's known

00:13:16.660 to the

00:13:17.100 food experts,

00:13:18.320 that if you

00:13:18.740 hit the

00:13:18.980 right ratio

00:13:19.680 of salt,

00:13:20.860 sugar and

00:13:22.260 fat,

00:13:23.760 it's addictive.

00:13:25.760 That's,

00:13:26.120 you know,

00:13:26.320 fast food,

00:13:26.860 for example,

00:13:27.320 is addictive.

00:13:28.500 And so

00:13:29.700 that's an

00:13:30.400 addiction that

00:13:31.540 we can only

00:13:32.860 learn to make

00:13:33.520 food like that

00:13:34.260 because our

00:13:34.740 science is

00:13:35.280 better.

00:13:36.160 In the

00:13:36.780 past it

00:13:37.240 would just

00:13:37.480 be an

00:13:37.780 accident if

00:13:38.700 you made

00:13:39.000 something that

00:13:39.520 turned out

00:13:40.340 to be

00:13:40.560 addictive.

00:13:41.400 But now

00:13:41.760 we can do

00:13:42.220 it every

00:13:42.800 time.

00:13:43.640 You just

00:13:43.900 keep testing

00:13:44.480 until you

00:13:44.900 have it and

00:13:45.320 then you

00:13:45.500 release it.

00:13:46.900 Likewise

00:13:47.360 with games

00:13:48.580 and videos

00:13:49.440 and anything

00:13:50.240 you consume

00:13:51.380 online,

00:13:52.200 we now have

00:13:53.020 the technology

00:13:53.660 to find out

00:13:54.380 exactly which

00:13:55.360 content will

00:13:56.800 addict you.

00:13:58.220 Not just

00:13:58.940 addiction in

00:13:59.540 general, but

00:14:00.600 how much

00:14:00.980 will get you.

00:14:01.720 That's

00:14:03.820 important.

00:14:04.840 What about

00:14:05.200 porn?

00:14:06.520 Porn no

00:14:07.380 longer shows

00:14:08.180 you generic

00:14:08.920 people doing

00:14:09.680 generic and

00:14:10.460 naughty things.

00:14:12.160 Porn can

00:14:12.680 find exactly

00:14:14.140 the thing you

00:14:14.900 want to see.

00:14:16.540 It'll find

00:14:17.200 you a 0.57

00:14:18.560 redhead doing 1.00

00:14:19.900 God knows

00:14:21.220 what, exactly

00:14:23.080 what you want

00:14:23.680 it to see.

00:14:25.700 Wearing a

00:14:26.520 pearl necklace

00:14:27.080 and heels.

00:14:28.480 You name it.

00:14:29.280 No matter how

00:14:29.880 specific you

00:14:30.700 want to get,

00:14:31.940 you can

00:14:32.340 probably find

00:14:33.100 it.

00:14:33.760 And if you

00:14:34.160 can find

00:14:34.480 exactly what

00:14:35.560 you want

00:14:35.980 for porn

00:14:36.540 versus some

00:14:37.480 generic stuff

00:14:38.200 that works

00:14:38.580 for everybody

00:14:39.060 a little bit,

00:14:40.500 you're going

00:14:41.220 to get more

00:14:41.700 addicted.

00:14:42.920 So our

00:14:43.400 ability to

00:14:44.100 find out

00:14:44.500 what addicts

00:14:45.160 people and

00:14:45.620 then apply

00:14:46.160 it in a

00:14:46.700 commercial sense

00:14:47.480 is off the

00:14:48.280 charts right

00:14:48.760 now.

00:14:49.340 We're really

00:14:49.840 good at it

00:14:50.480 and that's

00:14:51.540 a challenge.

00:14:53.160 So addiction

00:14:53.700 is going to

00:14:54.060 be the number

00:14:54.440 one problem.

00:14:55.220 Drug addiction

00:14:55.720 alone killed

00:14:56.340 93,000 people

00:14:57.920 in the U.S.

00:14:59.700 this year.

00:15:00.700 drug addiction

00:15:03.220 killed 93,000

00:15:06.760 people just

00:15:08.480 this year.

00:15:09.500 It's a new

00:15:10.100 record.

00:15:11.560 Where does it

00:15:11.960 come from?

00:15:12.620 Mostly China

00:15:13.580 passing through

00:15:14.420 the cartels

00:15:15.160 after they

00:15:15.660 process it.

00:15:16.840 At least the

00:15:17.440 fentanyl portion

00:15:18.340 of it.

00:15:19.940 So yeah,

00:15:21.420 we're going to

00:15:22.000 have to learn

00:15:22.400 to deal with

00:15:22.880 addiction and

00:15:23.780 we have not

00:15:24.340 come to grips

00:15:25.080 with that yet.

00:15:25.800 I think we're

00:15:27.080 looking at

00:15:27.500 addiction as

00:15:28.380 something that

00:15:30.280 applies to each

00:15:31.000 individual category.

00:15:32.960 So there are

00:15:33.520 people looking at

00:15:34.160 online addiction,

00:15:35.320 there are people

00:15:35.680 looking at

00:15:36.160 drug addiction,

00:15:37.480 but I think we

00:15:38.300 just need to

00:15:38.880 understand that

00:15:40.220 technology has

00:15:41.180 reached a point

00:15:41.760 where we can

00:15:42.380 make anything

00:15:43.120 addictive,

00:15:44.600 any category,

00:15:45.700 not any product,

00:15:46.640 but any category

00:15:47.520 we can make

00:15:48.080 addictive.

00:15:48.420 And what's

00:15:50.840 that do to

00:15:51.220 people?

00:15:51.660 What's it do

00:15:52.020 to your illusion

00:15:53.100 of free will?

00:15:55.120 Well, Rand Paul

00:15:55.960 is having a good

00:15:57.040 day.

00:15:58.180 You might recall

00:15:58.900 that Rand Paul

00:15:59.440 was accusing

00:16:00.160 Dr. Fauci of

00:16:01.460 being one of

00:16:03.400 the people involved

00:16:04.200 in getting

00:16:05.060 funding that

00:16:06.680 ended up at

00:16:07.480 the Wuhan

00:16:08.200 Institute of

00:16:09.300 Virology.

00:16:10.960 Dr. Fauci said

00:16:11.920 that is 100%

00:16:13.300 false.

00:16:14.540 That did not

00:16:15.220 happen.

00:16:15.700 Rand Paul said,

00:16:16.940 well, it's

00:16:17.340 totally true.

00:16:18.420 We've got the

00:16:19.060 receipts.

00:16:20.960 Well, today

00:16:21.460 there was a

00:16:22.100 new story

00:16:22.700 came out.

00:16:23.280 Was it in

00:16:23.900 the...

00:16:24.980 I forget

00:16:25.700 where it was.

00:16:26.600 But a new

00:16:27.180 story came out

00:16:27.880 that basically

00:16:29.420 confirmed what

00:16:30.500 Rand Paul had

00:16:31.180 been saying,

00:16:32.280 that the

00:16:32.900 funding,

00:16:33.760 American funding

00:16:34.580 through Fauci,

00:16:36.360 Fauci was part

00:16:37.360 of that process,

00:16:38.880 did, in fact,

00:16:41.780 get to the

00:16:42.720 lab.

00:16:43.280 And it did,

00:16:43.940 in fact,

00:16:44.840 specifically

00:16:45.560 include gain

00:16:47.180 of function

00:16:47.700 as it is

00:16:48.480 defined.

00:16:49.840 Now,

00:16:50.380 The Intercept,

00:16:51.160 yes, thank

00:16:51.580 you.

00:16:51.760 It was The

00:16:52.080 Intercept who

00:16:52.720 has that

00:16:53.260 story today.

00:16:55.080 And by the

00:16:55.480 way, you

00:16:55.900 have to watch

00:16:56.380 Glenn Greenwald

00:16:57.500 go off on

00:16:58.680 The Intercept.

00:16:59.560 That's his

00:17:00.140 old publication.

00:17:01.160 I think he

00:17:01.460 was a

00:17:01.720 co-founder.

00:17:02.660 But he's

00:17:03.180 just tearing

00:17:03.740 them apart

00:17:04.260 for hypocrisy.

00:17:07.700 It's really

00:17:08.420 fun to watch

00:17:09.300 him rip 0.80

00:17:09.700 them apart.

00:17:10.180 But anyway,

00:17:12.200 it looks like

00:17:12.760 the report

00:17:13.360 completely agrees

00:17:15.060 with Rand Paul

00:17:15.940 that Fauci was

00:17:18.140 part of it.

00:17:18.780 Now, what

00:17:19.780 will Fauci say

00:17:20.820 in response to

00:17:21.720 this?

00:17:22.400 Will Fauci say,

00:17:23.880 well, you

00:17:24.300 got me.

00:17:25.280 You got me

00:17:25.940 now.

00:17:26.740 I did fund

00:17:27.620 that stuff.

00:17:28.980 No.

00:17:30.200 Because I don't

00:17:31.000 think they're

00:17:31.460 talking about the

00:17:32.240 same thing.

00:17:33.320 I think they're

00:17:34.100 using words

00:17:34.900 differently.

00:17:35.460 I believe

00:17:36.900 that Fauci

00:17:37.620 talks about

00:17:39.380 gain of

00:17:39.840 function in

00:17:40.560 a more

00:17:42.120 weaponized

00:17:42.880 way, whereas

00:17:44.340 I think the

00:17:45.720 science talks

00:17:46.360 about gain of

00:17:46.960 function as

00:17:47.660 anything that

00:17:48.400 acquires a

00:17:49.320 function.

00:17:50.000 Doesn't mean

00:17:50.940 it's weaponized

00:17:51.700 necessarily.

00:17:53.420 So I think

00:17:54.260 he's just

00:17:54.700 playing with

00:17:55.340 weasel words

00:17:56.260 to say he

00:17:57.440 wasn't involved.

00:17:58.740 Now, let's

00:17:59.900 say he was

00:18:00.440 involved.

00:18:01.060 Let's say the

00:18:01.560 reporting is

00:18:02.100 accurate and he

00:18:02.880 was part of

00:18:03.520 approving some

00:18:04.140 money that went

00:18:04.740 to the

00:18:05.080 Wuhan Institute

00:18:06.660 of Virology.

00:18:11.120 Let's say

00:18:11.960 that Rand

00:18:15.300 Paul is

00:18:15.720 completely

00:18:16.200 correct.

00:18:17.500 I'm not so

00:18:18.520 sure that that's

00:18:19.560 as damning for

00:18:20.520 Fauci as it

00:18:21.300 looks.

00:18:22.960 I'm not a

00:18:23.980 Fauci supporter

00:18:25.180 per se, but

00:18:26.640 also not the

00:18:27.640 biggest critic.

00:18:29.200 Because even the

00:18:29.800 things that I

00:18:30.540 know he did

00:18:31.120 wrong, such as

00:18:32.360 lying about

00:18:32.960 masks in the

00:18:33.780 beginning, he

00:18:34.800 told us why.

00:18:36.340 And he

00:18:36.620 actually had a

00:18:37.100 reason.

00:18:38.220 Now, you

00:18:38.540 could argue

00:18:39.000 that the

00:18:39.400 reason wasn't

00:18:40.040 good enough.

00:18:41.060 He was trying

00:18:41.580 to protect the

00:18:42.380 supply of N95

00:18:43.460 masks for

00:18:44.920 health care

00:18:45.340 workers.

00:18:46.180 But I think

00:18:46.860 it was good

00:18:47.200 enough.

00:18:48.200 I don't

00:18:48.760 actually ask

00:18:49.460 my government

00:18:50.440 not to lie

00:18:51.100 to me.

00:18:51.840 I do ask

00:18:52.700 my government

00:18:53.200 to lie to

00:18:53.760 me when it

00:18:55.040 matters.

00:18:56.500 Right?

00:18:56.780 If it's for

00:18:57.380 my benefit,

00:18:58.920 yeah, lie to

00:18:59.620 me.

00:19:00.340 Please.

00:19:01.380 Please.

00:19:01.960 Please lie to

00:19:02.520 me.

00:19:02.640 If it's

00:19:03.280 for my

00:19:03.580 benefit, as

00:19:04.720 a citizen.

00:19:05.980 And I think

00:19:06.720 that was one

00:19:07.140 of those

00:19:07.360 cases.

00:19:08.200 It was just

00:19:08.580 a weird case

00:19:09.300 where lying to

00:19:10.220 the public, that

00:19:12.100 might have been

00:19:12.560 the best solution.

00:19:14.020 So I don't even

00:19:14.700 fault Fauci for

00:19:15.980 blatantly lying to

00:19:17.440 us about that.

00:19:18.460 It did, however,

00:19:20.180 destroy his

00:19:20.900 credibility.

00:19:23.080 So he had a

00:19:24.480 reason, and it

00:19:26.420 was a pretty good

00:19:26.960 reason, but it

00:19:28.280 did destroy his

00:19:29.040 credibility, so he

00:19:30.480 paid for it.

00:19:33.200 And actually, I

00:19:34.140 think you'd have

00:19:34.640 to give him a

00:19:36.160 little credit for

00:19:36.780 that.

00:19:37.620 A little bit of

00:19:38.140 credit for that,

00:19:38.760 I think.

00:19:39.660 Now, you can

00:19:40.340 criticize him all

00:19:41.140 you want, but he

00:19:42.120 did make a tough

00:19:42.880 choice in a

00:19:44.300 leadership role, and

00:19:46.180 whenever I see a

00:19:47.880 leader make a

00:19:48.700 tough choice, meaning

00:19:50.460 a lot of people

00:19:51.400 aren't going to

00:19:51.760 like it, I always

00:19:53.700 say to myself, it

00:19:54.440 might be a mistake

00:19:55.160 and it might not

00:19:55.760 be, but at least,

00:19:57.180 damn it, it's

00:19:57.660 leadership.

00:19:59.060 At least it's

00:19:59.680 leadership.

00:20:00.760 You know, you

00:20:01.020 got to have

00:20:01.340 that, but they

00:20:03.520 do make mistakes,

00:20:04.640 of course.

00:20:06.460 Does he get

00:20:07.120 credit for

00:20:07.620 deceiving the

00:20:08.280 administration?

00:20:09.260 Well, I'm

00:20:09.640 talking about

00:20:10.120 deceiving the

00:20:10.940 public.

00:20:14.360 All right, so

00:20:15.400 I'm going to

00:20:15.840 give Rand Paul

00:20:16.560 the win for

00:20:17.560 this week.

00:20:18.320 I feel like

00:20:19.180 Rand Paul's

00:20:20.020 claims have

00:20:21.580 been substantiated.

00:20:23.340 So, Rand Paul

00:20:24.000 for the win.

00:20:27.120 Looks like the

00:20:28.180 Texas abortion 0.89

00:20:29.500 law in which

00:20:30.400 citizens can

00:20:31.640 sue an abortion

00:20:33.840 provider, which

00:20:34.960 is a weird

00:20:35.660 law.

00:20:36.220 I don't quite

00:20:36.960 understand how

00:20:37.600 they can do

00:20:37.960 that, but I

00:20:38.660 guess they got

00:20:39.060 away with it.

00:20:39.980 It passes

00:20:40.660 Supreme Court

00:20:42.600 muster.

00:20:44.120 But Mayor

00:20:44.500 Wheeler of

00:20:45.520 Portland said

00:20:48.240 that the city

00:20:48.740 council intends

00:20:49.460 to vote on

00:20:49.960 emergency

00:20:50.400 resolution so

00:20:52.320 that the city

00:20:53.080 of Portland

00:20:53.460 won't do any

00:20:54.640 business with

00:20:55.880 Texas and its

00:20:57.300 employees won't

00:20:58.140 travel there on

00:20:58.800 business.

00:21:00.120 To which I

00:21:00.680 say, how

00:21:01.860 often were

00:21:02.600 Portland

00:21:03.140 employees,

00:21:07.340 employees of

00:21:08.260 the city,

00:21:08.860 how often were

00:21:09.740 they traveling to

00:21:10.500 Texas on

00:21:11.160 business?

00:21:11.580 Is that even a

00:21:13.540 thing?

00:21:14.260 Do you ever need

00:21:15.420 to go to Texas

00:21:16.080 on business if

00:21:17.660 you work for a

00:21:18.420 local city?

00:21:20.760 I don't know.

00:21:21.360 It feels like this

00:21:22.160 is purely symbolic.

00:21:23.100 But, as

00:21:25.600 somebody smart

00:21:26.300 pointed out, by

00:21:28.060 Texas making

00:21:30.100 the abortion

00:21:30.720 law a big

00:21:31.800 topic, they

00:21:33.500 may have

00:21:33.900 screwed

00:21:34.320 Republicans in

00:21:35.320 the next

00:21:35.720 election because

00:21:37.300 it's going to

00:21:38.220 make the next

00:21:38.800 election about

00:21:39.980 abortion.

00:21:42.480 And if the

00:21:43.040 election is about

00:21:44.260 abortion,

00:21:46.200 Republicans lose.

00:21:48.140 So I don't

00:21:49.260 think they wanted

00:21:49.880 to make it about

00:21:50.980 abortion, but that's 1.00

00:21:51.780 what happened.

00:21:53.920 You may be

00:21:54.820 aware that I

00:21:55.680 have been saying

00:21:56.160 for a long

00:21:56.620 time that

00:21:57.460 systemic racism

00:22:00.380 and structural

00:22:01.280 racism are real.

00:22:03.480 And the biggest

00:22:04.040 source of them is

00:22:05.740 the school system,

00:22:07.040 which doesn't

00:22:07.780 adequately educate

00:22:09.920 black citizens,

00:22:11.720 and others as

00:22:12.500 well.

00:22:12.980 But if we're

00:22:13.720 talking about

00:22:15.020 racist outcomes,

00:22:17.580 let's just keep

00:22:18.440 it simple and

00:22:19.020 say our schools

00:22:20.240 are not adequately

00:22:21.540 educating black

00:22:22.600 citizens, and

00:22:23.480 that is a

00:22:25.140 serious, serious

00:22:26.420 ethical as

00:22:29.180 well as

00:22:29.580 practical problem.

00:22:31.300 I mean,

00:22:31.560 ethically it's

00:22:32.220 just, it's

00:22:34.120 beyond imagination.

00:22:36.680 It's so

00:22:37.300 unethical.

00:22:38.020 Immoral, I

00:22:38.580 guess.

00:22:39.380 I'd say it's

00:22:39.860 immoral.

00:22:41.900 And just

00:22:42.720 deeply immoral.

00:22:44.080 I mean, it's

00:22:44.540 immoral on a

00:22:45.160 level that it's

00:22:45.980 hard, you know,

00:22:46.620 short of actually

00:22:47.200 killing people, 0.96

00:22:47.940 it's hard to

00:22:49.880 find other

00:22:50.380 topics that

00:22:51.000 are as

00:22:51.240 immoral as

00:22:52.720 the fact that

00:22:53.200 we don't

00:22:53.560 adequately educate

00:22:55.080 black people to

00:22:57.620 the way that we

00:22:58.200 should.

00:22:59.960 So,

00:23:01.440 Wall Street Journal

00:23:02.760 article today,

00:23:03.780 Bill McGurn,

00:23:04.860 writing for the

00:23:05.520 Wall Street Journal,

00:23:07.720 basically points

00:23:08.660 out that the

00:23:09.180 real structural

00:23:09.920 racism is the

00:23:10.960 school system.

00:23:11.540 And, of

00:23:12.780 course, what

00:23:13.320 is the big

00:23:14.520 problem with

00:23:15.000 the school

00:23:15.360 system?

00:23:16.540 Well, the

00:23:17.220 biggest problem

00:23:17.840 is that the

00:23:18.560 teachers' unions

00:23:19.520 prevent competition.

00:23:22.020 And where

00:23:22.440 competition is

00:23:23.400 prevented, nothing

00:23:24.300 ever grows.

00:23:25.380 We know that.

00:23:26.380 I mean, there's

00:23:26.780 no way around

00:23:28.840 it.

00:23:29.660 So, here's the

00:23:30.760 only thing that I

00:23:31.600 would point to

00:23:32.880 as important.

00:23:35.760 Is it going

00:23:36.700 to enter the

00:23:37.700 mainstream

00:23:38.200 thought that

00:23:40.440 teachers' unions

00:23:41.320 are the main

00:23:42.280 source?

00:23:42.820 I'd say 75%,

00:23:44.140 just sort of

00:23:45.200 subjectively.

00:23:46.640 Is it going to

00:23:47.520 enter the

00:23:47.880 mainstream thought

00:23:48.720 that teachers'

00:23:49.640 unions are the

00:23:50.600 cause of

00:23:51.140 systemic racism?

00:23:52.640 75% of it.

00:23:54.640 Because it's

00:23:55.340 now, it's a

00:23:56.480 major article in

00:23:57.260 the Wall Street

00:23:57.680 Journal.

00:23:59.340 But, guess

00:24:00.640 what?

00:24:01.760 Larry Elder,

00:24:02.720 running for

00:24:03.680 governor in the

00:24:05.020 recall election in

00:24:05.840 California, is

00:24:07.340 quoted as saying,

00:24:08.280 quote, the

00:24:09.180 number one

00:24:09.700 obstacle to

00:24:10.460 school choice

00:24:11.300 is the

00:24:11.920 teachers' 0.80

00:24:12.400 unions.

00:24:14.120 And then he

00:24:14.780 points out, who

00:24:15.460 is the number

00:24:15.960 one funder of

00:24:17.100 his opponent?

00:24:17.920 That would be

00:24:18.320 Gavin Newsom.

00:24:19.840 The teachers'

00:24:20.760 unions.

00:24:22.460 So, Larry Elder

00:24:23.740 is now also

00:24:24.880 making the case,

00:24:25.940 and I'm sure he's

00:24:26.680 made it before,

00:24:27.840 but the case is

00:24:28.840 becoming a little

00:24:29.400 more prominent,

00:24:30.680 that the teachers'

00:24:32.040 unions are the

00:24:33.840 problem.

00:24:35.180 And you're seeing

00:24:35.960 it in two

00:24:36.340 different ways on

00:24:37.040 the same day.

00:24:38.440 So, you know

00:24:39.480 how the

00:24:39.980 zeitgeist works?

00:24:41.220 Have you ever

00:24:41.560 heard of that

00:24:41.880 word?

00:24:42.520 It's a German

00:24:43.180 word that we

00:24:43.920 use in America,

00:24:44.780 zeitgeist.

00:24:46.540 And there's no

00:24:47.440 direct English

00:24:49.500 interpretation.

00:24:50.180 Is that true?

00:24:52.780 I don't know if

00:24:53.340 that's true.

00:24:54.020 But it's a word

00:24:54.540 we use that

00:24:55.900 says there's

00:24:56.600 just an idea

00:24:57.240 that's in the

00:24:57.780 air, and

00:24:59.100 everybody starts

00:24:59.880 thinking the

00:25:00.480 same way, and

00:25:01.060 you're not sure

00:25:01.500 why.

00:25:01.840 this might be

00:25:04.120 one of those.

00:25:05.880 But it might

00:25:06.400 also tell you

00:25:07.020 why people

00:25:08.560 start thinking

00:25:09.240 of things at

00:25:09.780 the same time.

00:25:11.000 Because I'd

00:25:12.060 like to think

00:25:12.620 it's not a

00:25:13.180 coincidence that

00:25:15.420 people with

00:25:16.880 big platforms

00:25:17.640 who are

00:25:18.140 persuasive are

00:25:19.540 trying to make

00:25:20.420 the zeitgeist

00:25:21.300 see the

00:25:22.820 teachers' 0.80

00:25:23.380 unions as

00:25:24.460 the big

00:25:24.800 problem, for

00:25:25.420 systemic racism

00:25:26.280 and other

00:25:27.020 reasons.

00:25:28.640 So, I

00:25:29.980 wonder, is

00:25:31.580 the zeitgeist

00:25:32.280 real, or

00:25:33.620 is there

00:25:33.920 always an

00:25:35.120 influencer that's

00:25:36.200 just making

00:25:36.660 the zeitgeist

00:25:37.300 what it is?

00:25:38.600 Does it just

00:25:39.160 happen on its

00:25:39.680 own?

00:25:40.560 Sometimes I

00:25:41.160 think it

00:25:41.440 must.

00:25:42.460 But I also

00:25:42.860 think that

00:25:43.380 sometimes there

00:25:44.160 are influencers

00:25:45.560 behind the

00:25:46.240 curtain, and

00:25:47.600 you don't know

00:25:48.120 why you're

00:25:48.440 thinking what

00:25:48.880 you're thinking.

00:25:49.720 But somebody

00:25:50.280 caused you to

00:25:50.920 think it.

00:25:54.200 Why don't we

00:25:55.020 know what

00:25:55.400 makes a virus

00:25:56.080 go away?

00:25:56.820 I come back

00:25:57.480 to this topic

00:25:58.080 all the time,

00:25:59.240 because the

00:26:00.420 more we learn

00:26:01.100 about COVID

00:26:02.700 and viruses

00:26:04.160 in general,

00:26:04.980 the more

00:26:05.660 mysterious they

00:26:06.500 get.

00:26:07.680 Instead of

00:26:08.420 getting smarter,

00:26:09.920 I feel like

00:26:10.480 we're getting

00:26:10.860 dumber.

00:26:12.260 It's like

00:26:12.620 there's as

00:26:12.980 much misinformation

00:26:13.720 about viruses

00:26:14.660 as there is

00:26:15.560 information.

00:26:17.940 But I'll

00:26:18.560 tell you what

00:26:18.960 my guess is.

00:26:19.860 So I heard

00:26:20.360 somebody smart

00:26:20.980 on Twitter

00:26:21.360 say that

00:26:22.560 viruses go

00:26:23.340 away because

00:26:23.800 they mutate,

00:26:25.540 and they

00:26:26.040 favor mutating

00:26:27.300 towards something

00:26:27.960 that spreads

00:26:29.020 faster, so

00:26:30.360 everything wants

00:26:31.640 to reproduce

00:26:32.340 faster.

00:26:33.760 That's why

00:26:34.140 that's a key

00:26:35.500 component of

00:26:36.180 evolution.

00:26:37.560 So some

00:26:38.940 thought is

00:26:39.420 just that the

00:26:40.280 less lethal

00:26:41.880 stuff is what

00:26:43.780 it evolves

00:26:45.240 to, and the

00:26:46.760 lethal stuff

00:26:47.460 kills people

00:26:48.080 before they can

00:26:48.760 spread it, so

00:26:49.720 it doesn't

00:26:50.060 evolve as fast.

00:26:52.340 But we have

00:26:53.240 a problem with

00:26:53.800 the Delta

00:26:54.660 variant and

00:26:55.260 maybe some

00:26:55.620 other variants,

00:26:56.480 in that they

00:26:56.900 don't ever seem

00:26:57.460 to die out,

00:26:58.440 at least not

00:26:59.320 yet.

00:27:00.140 But we do

00:27:00.760 have reports

00:27:02.080 of, let's

00:27:03.300 say, if you

00:27:05.020 look at the

00:27:05.400 dynamics of

00:27:06.040 India versus 0.99

00:27:06.840 Israel, this

00:27:08.160 comes from

00:27:08.760 Twitter account

00:27:09.480 COVID-19

00:27:10.320 Crusher.

00:27:11.780 And if you

00:27:12.220 do some

00:27:12.760 magic on the

00:27:14.480 numbers, it

00:27:14.960 looks like one 0.66

00:27:16.540 of them has

00:27:17.040 lots of

00:27:17.460 vaccinations and

00:27:19.000 is getting a

00:27:19.680 certain result in

00:27:20.560 their curve, and

00:27:22.080 one of them does

00:27:22.860 not have many

00:27:23.740 vaccinations and

00:27:25.240 is identical in

00:27:26.140 their curve of

00:27:27.240 decrease in

00:27:28.320 cases.

00:27:29.600 So, the

00:27:30.260 question is, can

00:27:31.500 you compare

00:27:31.980 these two

00:27:32.420 things, region

00:27:33.720 in India versus

00:27:34.680 Israel, and

00:27:35.920 say, oh, we've

00:27:36.660 learned something,

00:27:37.420 vaccinations work

00:27:38.400 or they don't

00:27:38.820 work.

00:27:39.540 And I would

00:27:40.140 say, no.

00:27:41.900 No.

00:27:43.260 Every time you

00:27:44.120 see a comparison

00:27:44.980 of two regions,

00:27:46.960 whether it's

00:27:47.540 state to state

00:27:48.340 or country to

00:27:49.120 country or

00:27:49.980 counties within

00:27:51.540 a region or

00:27:53.120 whatever, they're

00:27:54.120 all useless.

00:27:56.140 too many other

00:27:57.080 variables.

00:27:58.520 And it'll take

00:27:59.060 about a second

00:27:59.780 after one of

00:28:00.940 those graphs

00:28:02.020 appear on the

00:28:02.580 internet for

00:28:03.720 somebody smart

00:28:04.460 to say, ah,

00:28:05.360 that number is

00:28:06.400 wrong, you

00:28:07.580 picked the wrong

00:28:08.140 number from the

00:28:08.780 wrong column, or

00:28:09.920 there's some

00:28:11.020 obvious reason

00:28:11.740 that it's wrong.

00:28:12.980 So, 100% of

00:28:14.740 the time, when

00:28:15.480 you see any two

00:28:16.260 countries compared

00:28:17.880 for COVID, just

00:28:19.700 discount it.

00:28:20.800 In your mind, you

00:28:21.580 should say, nope,

00:28:23.400 doesn't mean

00:28:23.920 anything.

00:28:24.260 No matter how

00:28:25.560 clear the data

00:28:26.580 looks and how

00:28:27.900 obvious the

00:28:28.880 interpretation would

00:28:30.740 be, just assume

00:28:32.140 the data is

00:28:32.600 wrong, because it

00:28:33.600 almost always is.

00:28:35.280 Now, maybe not

00:28:36.060 every time, but

00:28:36.960 probably 95% of

00:28:38.240 the time.

00:28:40.460 Yeah.

00:28:41.460 Somebody's saying,

00:28:42.200 why aren't

00:28:42.420 homeless people

00:28:43.180 dying from

00:28:43.940 COVID?

00:28:44.580 Well, let me

00:28:45.140 tell you what I

00:28:45.880 think is going

00:28:46.580 on.

00:28:47.980 Often the virus

00:28:48.840 goes around in

00:28:49.600 the community, a

00:28:50.920 lot of people

00:28:51.420 are going to get

00:28:51.700 a low viral

00:28:52.620 initial dose, maybe

00:28:54.780 so low that

00:28:56.440 their immunity

00:28:57.300 kicks in before

00:28:58.080 they even know

00:28:58.580 they have a

00:28:58.960 problem.

00:29:00.220 So I feel as

00:29:01.120 if it's the

00:29:01.760 low doses of

00:29:03.000 the virus that

00:29:03.900 make the virus

00:29:04.720 effectively its

00:29:06.400 own vaccination.

00:29:08.040 So it could be

00:29:08.880 a combination of

00:29:09.700 it evolves, it

00:29:11.800 evolves to

00:29:12.400 something less

00:29:13.180 deadly but more

00:29:14.280 spready, because 0.99

00:29:15.480 that's how viruses

00:29:16.240 like to evolve.

00:29:17.540 That gives them

00:29:18.140 more opportunities

00:29:19.780 to live.

00:29:21.740 But also, I

00:29:22.760 think some

00:29:23.080 kind of self

00:29:24.360 vaccination is

00:29:25.320 happening, I

00:29:26.060 think.

00:29:26.740 That would be

00:29:27.280 just speculation.

00:29:29.940 All right, but

00:29:30.440 it's weird that we

00:29:31.020 don't know what

00:29:31.480 makes the virus go

00:29:32.280 away.

00:29:36.820 There's another

00:29:37.540 study on proper

00:29:39.220 mask use.

00:29:40.480 What do you

00:29:40.820 think?

00:29:42.060 New study,

00:29:43.220 actually from

00:29:43.860 June, I think.

00:29:45.920 And it said

00:29:46.560 masks definitely

00:29:47.460 work and it

00:29:48.400 makes a big

00:29:48.800 difference.

00:29:49.500 Now, you don't

00:29:49.940 need to know

00:29:50.340 the data.

00:29:51.020 Do you believe

00:29:51.480 it?

00:29:52.700 So you just

00:29:53.440 heard there's

00:29:53.860 a study that

00:29:55.620 says masks 0.66

00:29:57.120 totally work and

00:29:58.660 they work pretty

00:29:59.260 well.

00:30:00.360 You know, reduces

00:30:01.160 the R by maybe

00:30:02.200 20-25%, which

00:30:03.660 would be a lot.

00:30:05.180 Do you believe

00:30:05.660 it?

00:30:08.020 Unfortunately,

00:30:08.600 no.

00:30:09.120 But here's

00:30:09.760 something I'm

00:30:10.240 going to add to

00:30:10.860 that conversation.

00:30:13.540 Do you remember

00:30:14.420 when all the

00:30:15.160 smart people said

00:30:16.120 masks don't work

00:30:17.400 because people

00:30:18.540 fuss with 0.67

00:30:19.160 them?

00:30:20.760 Right?

00:30:21.960 All the smart

00:30:22.820 people said that,

00:30:23.580 right?

00:30:24.040 They said masks

00:30:24.800 aren't going to

00:30:25.240 help you much

00:30:26.000 because you're

00:30:27.100 touching them and

00:30:27.720 fussing with them

00:30:28.380 and stuff's on

00:30:29.040 your hands and

00:30:30.400 your hands are

00:30:30.880 infected and it's

00:30:31.760 just a big old

00:30:32.340 mess.

00:30:34.300 And then we

00:30:35.060 learned that the

00:30:36.720 virus doesn't like

00:30:37.680 surfaces.

00:30:39.160 It's pretty much

00:30:39.960 airborne or you

00:30:41.080 don't get it.

00:30:42.060 Right?

00:30:42.260 So you don't

00:30:43.300 see people

00:30:43.880 worrying about

00:30:44.800 touching doorknobs

00:30:45.700 anymore.

00:30:47.400 You know, if you

00:30:47.720 go down the

00:30:48.160 escalator, I

00:30:49.600 try not to hold

00:30:50.980 the handrail on

00:30:51.660 the escalator, but

00:30:52.380 you could.

00:30:53.440 You could touch

00:30:54.340 all the items in

00:30:55.820 your office with

00:30:56.600 your bare hands.

00:30:58.760 Right?

00:30:59.560 So I think all of

00:31:00.700 the worry about

00:31:01.300 touching your mask

00:31:02.760 didn't make any

00:31:04.620 difference.

00:31:05.840 So I think we

00:31:08.300 will come to

00:31:08.940 learn that you

00:31:10.060 could be touching

00:31:10.660 your mask all

00:31:11.420 day long and

00:31:12.660 it will have

00:31:12.980 almost nothing

00:31:13.700 to do with

00:31:14.200 transmission rates

00:31:15.120 because the

00:31:16.180 only thing that

00:31:16.640 matters is how

00:31:17.300 much of that

00:31:17.740 virus is getting

00:31:18.860 through the mask

00:31:19.640 and in the air.

00:31:20.900 It probably

00:31:21.500 doesn't matter at

00:31:22.200 all if you

00:31:23.520 touch it with

00:31:24.020 your hands because

00:31:25.160 it doesn't seem

00:31:25.700 to be a surface

00:31:26.480 spreading problem.

00:31:28.740 So I would

00:31:30.100 warn you that I

00:31:30.940 am not a doctor

00:31:31.640 and you should

00:31:33.740 probably scrub

00:31:39.860 down your

00:31:40.300 surfaces and

00:31:40.960 wash your

00:31:41.320 hands as much

00:31:41.840 as possible.

00:31:42.420 That's what the

00:31:42.780 experts say.

00:31:43.760 I have no reason

00:31:44.320 to believe they're

00:31:44.840 wrong, but I'm

00:31:45.800 just going to add

00:31:46.360 that whoever said

00:31:47.160 that the mask

00:31:48.140 touching was going

00:31:49.580 to be a big

00:31:50.100 issue, it's

00:31:51.520 probably not an

00:31:51.980 issue at all.

00:31:52.800 It's probably

00:31:53.200 zero.

00:31:55.420 China is doomed 0.97

00:31:56.320 for lots of

00:31:58.180 different reasons,

00:31:59.120 but here's one

00:31:59.660 way.

00:32:00.760 So China is

00:32:01.320 talking about how

00:32:01.900 they want to

00:32:02.540 pursue common

00:32:03.860 prosperity, meaning

00:32:05.620 that they have

00:32:06.180 too many rich

00:32:06.740 people and too

00:32:07.800 many poor

00:32:08.120 people.

00:32:08.380 So there's

00:32:09.560 1% of China

00:32:11.400 owns a third

00:32:12.420 of the

00:32:12.620 country.

00:32:13.940 1% owns a

00:32:16.060 third of the

00:32:16.460 wealth in the

00:32:17.160 country.

00:32:18.100 Turns out that's

00:32:19.160 just about what

00:32:19.880 it is in America

00:32:20.600 too.

00:32:21.940 But China is

00:32:23.000 saying, hey, we

00:32:23.520 have to change

00:32:24.040 this.

00:32:25.200 They're basically

00:32:25.940 saying we knew

00:32:26.560 we were going to

00:32:27.060 create a bunch of

00:32:28.040 rich people by

00:32:29.200 opening up the

00:32:29.900 economy, as they

00:32:30.660 have in past

00:32:31.260 decades.

00:32:31.820 But they

00:32:33.640 thought that

00:32:34.100 phase two would

00:32:35.440 be to become

00:32:36.700 more socialist

00:32:37.600 after they made

00:32:38.540 a lot of

00:32:38.860 money.

00:32:40.200 So China's 0.97

00:32:40.920 strategy is to

00:32:42.360 use capitalism

00:32:43.140 to make a

00:32:43.960 bunch of

00:32:44.260 money, and

00:32:44.760 now they

00:32:45.060 figure they've

00:32:45.560 done that.

00:32:46.680 And now

00:32:47.140 they're going

00:32:47.500 to try to

00:32:47.940 figure out how

00:32:48.460 to claw back

00:32:49.220 that money

00:32:49.680 from the

00:32:50.100 billionaires so

00:32:51.400 that the

00:32:51.760 poor people

00:32:52.260 can benefit.

00:32:54.360 What is it

00:32:56.400 that China is 0.73

00:32:57.920 about to do

00:32:58.740 wrong?

00:32:59.160 What they're

00:33:02.880 about to do

00:33:03.460 wrong is

00:33:04.220 ignore human

00:33:05.120 motivation.

00:33:06.600 Yeah.

00:33:07.460 I'm seeing it

00:33:08.060 in the comments,

00:33:08.640 right?

00:33:10.140 The only reason

00:33:11.360 they have money

00:33:12.120 is that they

00:33:13.420 didn't do the

00:33:14.620 thing that they're

00:33:15.160 planning to do

00:33:15.860 next.

00:33:17.060 And I don't

00:33:17.820 know if those

00:33:18.680 two things can

00:33:19.340 ever be

00:33:19.840 compatible.

00:33:21.020 Now, you

00:33:21.660 know, there is

00:33:22.920 some reason to

00:33:23.820 imagine you

00:33:24.840 could tweak it

00:33:25.440 because, you

00:33:25.960 know, Europe

00:33:26.480 has highly

00:33:27.600 socialist

00:33:28.220 countries with

00:33:29.140 capitalism, so

00:33:30.100 maybe, you

00:33:32.000 know, maybe

00:33:32.620 they can just

00:33:33.180 have good

00:33:33.580 health care

00:33:34.020 and stuff.

00:33:35.100 But I feel

00:33:36.160 like it's

00:33:36.600 going to be

00:33:36.960 a big, big

00:33:38.180 problem.

00:33:39.560 And this, I

00:33:40.720 feel as if

00:33:41.300 this income

00:33:41.960 inequality, which

00:33:43.680 isn't going to

00:33:44.180 change, by the

00:33:44.740 way, because

00:33:45.240 the rich people

00:33:46.180 also control

00:33:46.940 the government

00:33:49.080 in China, just

00:33:51.180 like pretty much

00:33:51.780 everywhere.

00:33:53.300 So the rich

00:33:54.020 people aren't

00:33:54.420 going to want

00:33:54.980 to give away

00:33:55.340 their money, so

00:33:56.500 they're just

00:33:56.820 going to stop

00:33:57.320 it from

00:33:57.600 happening.

00:33:57.920 So if

00:33:59.560 income inequality

00:34:00.840 just keeps

00:34:01.400 getting worse

00:34:02.060 and the

00:34:02.740 poorest people

00:34:03.400 in China

00:34:03.820 are having

00:34:04.180 a tough

00:34:04.520 time, I

00:34:06.020 don't know,

00:34:06.500 it could be

00:34:06.800 a revolution.

00:34:08.380 It could be.

00:34:09.720 CNN has

00:34:10.480 some fake

00:34:11.740 news on

00:34:12.360 marijuana, or

00:34:14.760 at least that's

00:34:15.220 how I interpret

00:34:15.800 it.

00:34:16.580 It's suggesting

00:34:17.940 that no matter

00:34:18.760 whether you

00:34:19.160 smoke it, vape

00:34:19.860 it, or eat

00:34:20.560 it, cannabis

00:34:21.560 increases your

00:34:23.100 risk of a

00:34:23.580 heart attack.

00:34:24.120 So they

00:34:26.060 found that

00:34:26.520 people who

00:34:27.000 smoked

00:34:27.380 marijuana, or

00:34:28.180 imbibed it

00:34:28.720 in any way,

00:34:29.880 had a greater

00:34:30.540 chance of

00:34:31.100 having a

00:34:31.420 heart attack

00:34:31.820 than people

00:34:32.260 who didn't.

00:34:34.580 Was that

00:34:35.320 causation, or

00:34:37.880 correlation?

00:34:41.840 Was it

00:34:42.540 causation or

00:34:43.320 correlation?

00:34:44.760 Shit.

00:34:45.920 Was it

00:34:46.240 causation or

00:34:47.280 correlation?

00:34:48.900 Which one

00:34:49.280 was it?

00:34:49.640 Well, they

00:34:53.060 even say it

00:34:53.720 was not

00:34:54.160 causation.

00:34:55.660 So they

00:34:56.100 did not

00:34:56.500 determine

00:34:56.880 causation.

00:34:58.200 But CNN

00:34:58.680 reported it

00:35:00.140 like they

00:35:00.480 had.

00:35:01.720 But in

00:35:02.460 their own

00:35:02.780 words, they

00:35:03.520 have not.

00:35:04.940 Now, is

00:35:05.760 there anything

00:35:06.280 that would

00:35:06.680 suggest to

00:35:07.300 you why

00:35:07.860 people who

00:35:08.440 are more

00:35:08.820 likely to

00:35:09.360 smoke

00:35:09.600 marijuana

00:35:10.080 might have

00:35:11.380 worse

00:35:12.760 health

00:35:13.700 outcomes?

00:35:15.920 Well, one

00:35:17.240 reason that

00:35:17.760 people smoke

00:35:18.400 marijuana is

00:35:19.240 that they're

00:35:19.540 using it

00:35:19.940 because they

00:35:20.360 have bad

00:35:20.780 health outcomes

00:35:21.620 in the first

00:35:22.020 place.

00:35:23.220 So probably

00:35:23.760 marijuana does

00:35:24.580 skew a little

00:35:25.360 bit toward

00:35:25.780 people with

00:35:26.320 worse health

00:35:27.640 because it's

00:35:28.820 a medicine.

00:35:30.080 Who takes

00:35:30.840 more medicine?

00:35:32.460 People who

00:35:33.220 need medicine.

00:35:34.320 People in

00:35:34.700 poor health.

00:35:35.880 So that would

00:35:36.380 be one correlation

00:35:37.160 I'd look at.

00:35:39.200 But I would

00:35:39.920 imagine that

00:35:40.460 people who are

00:35:41.020 more likely to

00:35:41.660 smoke marijuana

00:35:42.300 are more likely

00:35:43.060 to do anything

00:35:43.840 dangerous.

00:35:44.840 More likely to

00:35:45.840 eat fast food,

00:35:47.880 more likely to

00:35:48.500 do a lot of

00:35:48.940 things.

00:35:49.240 So I

00:35:49.780 wouldn't put

00:35:50.320 too much

00:35:50.760 credibility in

00:35:51.880 that study.

00:35:56.460 What is up

00:35:57.560 with those

00:35:58.500 old videos

00:35:59.220 we saw of

00:35:59.940 people collapsing

00:36:00.760 in the street

00:36:01.460 in China?

00:36:03.080 Will we ever

00:36:04.020 know why we

00:36:05.260 saw those?

00:36:06.120 Remember in the 0.66

00:36:06.760 beginning of the

00:36:07.220 pandemic it

00:36:07.880 looked like people

00:36:08.420 were just

00:36:08.740 falling over

00:36:09.320 dead in

00:36:11.140 Wuhan?

00:36:11.980 Well, those

00:36:13.260 are obviously

00:36:13.800 faked or

00:36:15.900 doctored or

00:36:16.720 something because

00:36:18.180 definitely people

00:36:19.120 are not

00:36:19.420 walking down

00:36:19.860 the street

00:36:20.160 and falling

00:36:20.720 over dead.

00:36:22.200 But why

00:36:23.800 did they do

00:36:24.360 that?

00:36:26.040 Was it to

00:36:26.840 cause their

00:36:27.420 own public

00:36:28.220 to do anything

00:36:29.000 they told

00:36:29.420 them to do?

00:36:31.340 Was it a

00:36:33.660 way to round

00:36:34.200 up dissonance?

00:36:36.240 You know,

00:36:36.520 just a cover

00:36:37.040 story for

00:36:37.600 rounding up

00:36:38.120 dissonance?

00:36:39.640 No, no.

00:36:40.520 I wonder if

00:36:41.020 we'll ever

00:36:41.300 know.

00:36:41.560 Or was it

00:36:42.400 something to

00:36:42.880 screw the

00:36:43.400 rest of the

00:36:43.840 world so the

00:36:45.000 rest of the

00:36:45.460 world would

00:36:45.940 shut down

00:36:46.360 their economy

00:36:47.100 whereas China

00:36:48.380 wouldn't?

00:36:49.740 Because I

00:36:50.120 don't see that

00:36:50.740 benefiting them

00:36:51.660 exactly because

00:36:52.320 they have to

00:36:52.660 sell to the

00:36:53.120 rest of the

00:36:53.440 world.

00:36:54.440 So I don't

00:36:54.720 know.

00:36:55.200 Maybe we'll

00:36:55.680 never know,

00:36:56.260 but it's

00:36:56.740 weird.

00:36:57.820 All right,

00:36:58.140 so here's my

00:36:58.660 provocative

00:36:59.100 question of

00:36:59.800 the day.

00:37:00.080 What would

00:37:00.340 the pandemic

00:37:00.840 look like if

00:37:01.720 most doctors

00:37:02.960 had skill at

00:37:04.640 data analysis

00:37:05.480 and persuasion?

00:37:07.520 Because I

00:37:08.100 don't think

00:37:08.600 most doctors

00:37:09.500 are statisticians

00:37:11.160 and I don't

00:37:12.640 think most

00:37:13.100 doctors have

00:37:13.960 ever taken a

00:37:14.560 course in

00:37:14.980 persuasion.

00:37:16.940 And so

00:37:18.200 we've got the

00:37:18.880 people who

00:37:19.300 are in

00:37:19.600 charge who

00:37:21.140 can't read

00:37:21.740 the data and

00:37:23.640 we know that

00:37:24.140 for sure because

00:37:24.860 they come to

00:37:25.400 different conclusions.

00:37:27.160 If all doctors

00:37:28.500 came to the

00:37:29.140 same conclusion,

00:37:30.720 I'd say,

00:37:31.240 well, they

00:37:31.540 must be pretty

00:37:32.080 good at

00:37:32.340 reading data.

00:37:33.740 But if they

00:37:34.140 come to

00:37:34.420 different

00:37:34.740 conclusions,

00:37:36.140 which is

00:37:36.520 typical,

00:37:38.240 what do you

00:37:39.440 do with

00:37:39.700 that?

00:37:40.740 So let

00:37:42.300 me give

00:37:43.020 you some

00:37:45.180 actual examples

00:37:46.300 of what

00:37:46.960 problems that

00:37:47.640 causes.

00:37:48.040 All right.

00:37:50.960 So because

00:37:52.080 doctors are not

00:37:53.080 good at

00:37:53.380 persuasion and

00:37:54.360 data, we're

00:37:56.220 still talking

00:37:56.760 about ivermectin

00:37:57.820 and hydroxychloroquine.

00:38:00.120 If doctors

00:38:01.560 could read data,

00:38:04.600 no, I'm not

00:38:05.520 high, but

00:38:06.040 thanks for

00:38:07.240 assuming.

00:38:07.980 If doctors

00:38:08.880 could read data

00:38:09.940 and they

00:38:11.580 were good

00:38:11.820 at it and

00:38:12.860 they were

00:38:13.180 persuasive,

00:38:14.740 would we be

00:38:15.400 talking about

00:38:15.980 ivermectin and

00:38:17.040 hydroxychloroquine?

00:38:19.240 Probably not.

00:38:20.880 Probably not,

00:38:21.640 right?

00:38:21.860 Because the

00:38:22.200 doctors would

00:38:22.780 all look at

00:38:23.220 the data.

00:38:23.740 They'd all

00:38:24.020 come to the

00:38:24.440 same conclusion.

00:38:25.780 They would

00:38:26.400 persuasively tell

00:38:27.420 you what that

00:38:27.900 conclusion was and

00:38:29.600 you would say

00:38:30.080 to yourself,

00:38:30.760 oh, that

00:38:31.100 sounds pretty

00:38:31.500 good.

00:38:32.560 Doctors all

00:38:33.240 agree.

00:38:34.280 They've now

00:38:34.860 told us what's

00:38:35.600 going on.

00:38:36.180 We agree.

00:38:36.680 So that

00:38:38.400 problem would

00:38:38.940 maybe be

00:38:40.060 better.

00:38:42.280 Remember I

00:38:43.000 told you there

00:38:43.460 was the

00:38:43.800 doctor, Dr.

00:38:44.820 Corey, who

00:38:45.280 was talking

00:38:45.620 about there

00:38:46.040 were 31

00:38:46.860 randomized

00:38:47.820 controlled trials

00:38:49.200 that say

00:38:49.680 ivermectin

00:38:50.320 works?

00:38:51.760 Well, what's

00:38:52.200 the counter

00:38:52.700 to that?

00:38:54.120 Can you

00:38:54.500 imagine that

00:38:55.080 there could

00:38:55.500 be?

00:38:56.640 How do

00:38:57.120 you counter

00:38:57.880 31

00:38:59.640 randomized

00:39:01.080 controlled

00:39:01.880 trials on

00:39:02.640 ivermectin

00:39:03.260 that collectively

00:39:04.620 show it

00:39:05.160 works really

00:39:05.960 well?

00:39:06.680 How can

00:39:07.240 you possibly

00:39:07.920 argue against

00:39:08.960 that?

00:39:10.360 Well, Andres

00:39:11.120 Beckhaus does

00:39:11.940 effectively by

00:39:14.520 pointing out

00:39:15.120 that if you

00:39:15.620 remove the

00:39:16.940 studies that

00:39:17.540 are known

00:39:18.020 to be low

00:39:18.660 quality for

00:39:19.720 reasons that

00:39:20.480 would be

00:39:21.240 objectively

00:39:21.780 observable,

00:39:23.920 if you took

00:39:25.020 out the ones

00:39:25.440 you know are

00:39:26.000 low quality,

00:39:27.720 it reverses

00:39:28.520 the result.

00:39:32.420 So, what

00:39:34.480 the hell do

00:39:34.980 you do with

00:39:35.400 that?

00:39:36.680 Do you

00:39:37.040 take the

00:39:37.500 meta-analysis

00:39:38.480 which says,

00:39:39.680 all right, we

00:39:40.160 know a lot

00:39:40.600 of these

00:39:40.860 studies are

00:39:41.360 low quality,

00:39:42.240 but if you

00:39:42.760 look at them

00:39:43.120 all together,

00:39:45.060 they may be

00:39:45.800 low quality for

00:39:46.720 different reasons,

00:39:47.620 and therefore the

00:39:48.740 studies sort of

00:39:50.120 cancel out their

00:39:50.880 flaws, and you

00:39:52.300 can see overall,

00:39:53.260 hey, every time

00:39:54.260 you look at the

00:39:55.520 overall, it looks

00:39:56.360 like it works.

00:39:56.980 studies, but if

00:39:59.300 the only reason

00:40:00.220 that the

00:40:00.680 meta-analysis

00:40:01.420 works is that

00:40:03.240 a whole bunch

00:40:04.180 of the studies

00:40:04.740 were bad,

00:40:07.480 there may just

00:40:10.820 be some big

00:40:11.480 problems with

00:40:12.100 the data.

00:40:13.200 So, if you

00:40:14.500 remove the

00:40:14.980 low quality

00:40:15.440 studies, it

00:40:16.080 reverses it.

00:40:17.340 Now, here's

00:40:18.220 the problem.

00:40:19.560 Who gets to

00:40:20.400 decide which

00:40:21.620 studies are

00:40:22.320 low quality?

00:40:24.280 Right?

00:40:25.340 Right?

00:40:26.480 It turns out

00:40:27.240 that this is

00:40:27.880 like, it looks

00:40:28.960 like it's

00:40:29.380 science, but if

00:40:31.380 you can choose

00:40:32.260 the studies you

00:40:33.140 like and ignore

00:40:34.380 the ones you

00:40:34.920 don't like, is

00:40:37.080 it science?

00:40:38.060 Or is it just

00:40:38.920 people using

00:40:39.440 their opinion and

00:40:40.380 rationalizing it

00:40:41.260 with whatever

00:40:41.740 data they want?

00:40:44.220 All right,

00:40:45.000 suppose doctors

00:40:46.940 were good at

00:40:47.520 persuasion and

00:40:48.500 data analysis.

00:40:49.460 There's an

00:40:49.760 article today by

00:40:51.460 Dr. David

00:40:52.140 Nickel in

00:40:53.740 the Mail Plus.

00:40:55.100 I tweeted it.

00:40:56.920 He refers to,

00:40:58.260 when he talks

00:40:58.920 about ivermectin,

00:41:00.660 he says,

00:41:01.320 he says,

00:41:03.320 quote, in an

00:41:03.980 article he wrote,

00:41:05.160 what ivermectin

00:41:05.960 is not in any

00:41:07.100 way suitable

00:41:07.820 or licensed

00:41:08.800 for is the

00:41:10.080 treatment of

00:41:10.680 coronavirus.

00:41:12.160 So he says

00:41:12.660 ivermectin is

00:41:13.420 not suitable

00:41:14.100 or licensed.

00:41:15.820 And of course,

00:41:16.840 he says,

00:41:17.380 any sane

00:41:18.060 person may

00:41:19.560 see that as

00:41:20.320 obvious.

00:41:22.400 So he's a

00:41:23.240 doctor who

00:41:23.780 says that any

00:41:24.400 sane person,

00:41:25.160 not a doctor,

00:41:26.380 are there any

00:41:26.960 sane people

00:41:27.480 watching?

00:41:27.820 If you are

00:41:29.380 sane, do you

00:41:31.200 buy his

00:41:31.700 comment that

00:41:32.440 it's obvious

00:41:33.560 because the

00:41:37.240 drug, the way

00:41:37.940 the drug works

00:41:38.740 is it damages

00:41:39.800 the nerves of

00:41:40.960 parasites.

00:41:42.700 But a virus is

00:41:43.860 not a parasite.

00:41:44.480 And it's far

00:41:47.140 too tiny to

00:41:47.720 have nerves.

00:41:49.040 So this

00:41:49.680 doctor says,

00:41:50.480 Dr. David

00:41:51.040 Nickel, he

00:41:52.380 says, anybody

00:41:53.500 could see that

00:41:54.820 ivermectin

00:41:55.500 couldn't possibly

00:41:56.600 work against

00:41:58.060 the virus because

00:41:59.480 the way ivermectin

00:42:00.520 works doesn't

00:42:02.000 even apply because

00:42:04.220 the virus doesn't

00:42:04.960 have any nerves

00:42:05.540 to damage.

00:42:06.580 So how can it

00:42:07.480 work?

00:42:08.380 We know it

00:42:09.180 works against

00:42:09.660 parasites because

00:42:10.640 they have nerves

00:42:11.140 to damage.

00:42:11.660 But how could

00:42:12.740 it possibly

00:42:13.460 work, this

00:42:14.280 doctor says,

00:42:15.380 and it's

00:42:15.740 obvious and

00:42:16.480 anybody can

00:42:17.380 see it because

00:42:18.460 it's designed

00:42:19.280 to work in a

00:42:19.960 different way

00:42:20.660 than would be

00:42:21.920 even applicable

00:42:22.460 to a virus.

00:42:25.880 How does

00:42:26.580 this doctor

00:42:27.240 explain,

00:42:29.740 yeah there,

00:42:30.460 Eric, you're

00:42:30.940 ahead of me,

00:42:32.040 how does the

00:42:32.560 doctor explain

00:42:33.260 that ivermectin

00:42:33.960 works in vitro,

00:42:35.940 that it works

00:42:36.400 in a test tube?

00:42:38.800 It's killing

00:42:39.500 something,

00:42:40.360 right?

00:42:41.660 Now the

00:42:42.380 in vitro,

00:42:43.220 the test tube

00:42:43.920 test, doesn't

00:42:45.420 tell you it

00:42:45.920 works in humans

00:42:46.640 because there

00:42:48.380 are lots and

00:42:49.240 lots of cases

00:42:49.840 where it works

00:42:50.840 in a test tube,

00:42:51.520 it doesn't

00:42:51.740 work in humans.

00:42:52.820 In fact, I

00:42:53.440 think most

00:42:53.800 often, I

00:42:55.300 think it

00:42:55.580 usually doesn't

00:42:56.380 work in humans

00:42:56.980 if it does

00:42:57.620 work in a

00:42:58.060 test tube.

00:42:59.000 Is that

00:42:59.260 true?

00:43:00.280 Give me a

00:43:01.720 fact check on

00:43:03.140 that.

00:43:05.500 But,

00:43:07.080 yeah,

00:43:11.660 if we

00:43:13.320 know it

00:43:13.640 works in

00:43:14.080 vitro,

00:43:14.720 his argument

00:43:15.300 that we

00:43:16.060 don't have

00:43:16.500 any mechanism

00:43:17.220 for how it

00:43:17.880 works is a

00:43:18.520 moot point.

00:43:19.880 So do you

00:43:20.280 trust this

00:43:20.780 doctor who

00:43:22.020 tells you

00:43:22.400 there's no

00:43:22.860 mechanism for

00:43:23.740 ivermectin to

00:43:24.520 work at the

00:43:25.480 same time you

00:43:26.080 know it does

00:43:26.680 work in the

00:43:27.980 laboratory?

00:43:29.280 He's got to

00:43:29.960 explain that,

00:43:31.260 right?

00:43:31.660 If he doesn't

00:43:32.460 at least explain

00:43:33.340 why it works

00:43:34.040 in vitro,

00:43:35.380 he needs to

00:43:37.300 just stop

00:43:37.840 talking,

00:43:38.380 right?

00:43:39.760 Now, it

00:43:40.040 could be

00:43:40.260 that just

00:43:40.540 everything works

00:43:41.200 in vitro.

00:43:42.300 I feel like

00:43:42.820 you could

00:43:43.100 take a piss

00:43:43.840 in a COVID

00:43:46.540 petri dish and

00:43:49.640 your piss would

00:43:50.420 kill the

00:43:50.820 COVID, I

00:43:52.200 think.

00:43:53.260 I mean,

00:43:53.620 that's just a

00:43:54.560 random example.

00:43:55.840 Diet Coke?

00:43:57.160 Do you think

00:43:57.540 you could put a

00:43:58.080 little Diet Coke

00:43:58.940 on the virus and

00:44:00.460 it would kill

00:44:00.840 it?

00:44:01.740 Probably.

00:44:03.480 Probably,

00:44:04.340 right?

00:44:04.880 So it doesn't

00:44:05.600 really mean that

00:44:06.200 much that it

00:44:06.780 works in a test

00:44:07.420 tube.

00:44:07.600 However,

00:44:09.000 this doctor

00:44:09.720 says there's

00:44:10.320 no mechanism

00:44:10.960 for it to

00:44:11.520 work.

00:44:12.300 Clearly,

00:44:12.880 there is.

00:44:13.900 Clearly,

00:44:14.460 there's a

00:44:14.780 mechanism because

00:44:15.420 it works in

00:44:15.860 vitro.

00:44:16.500 So he at

00:44:17.300 least has to

00:44:17.780 explain that.

00:44:19.280 Now,

00:44:20.020 he's trying to

00:44:20.700 persuade us.

00:44:22.540 Are you

00:44:22.980 persuaded by

00:44:23.840 a doctor who

00:44:25.420 ignores the

00:44:26.120 fact that

00:44:26.540 ivermectin

00:44:27.120 definitely works

00:44:27.920 in vitro?

00:44:30.420 No,

00:44:31.220 because he's

00:44:31.800 leaving out the

00:44:32.400 thing you know

00:44:33.120 that you think

00:44:34.460 matters.

00:44:35.900 That's a

00:44:36.700 problem with

00:44:37.240 persuasion.

00:44:38.420 You have to

00:44:39.160 address the

00:44:40.040 things that

00:44:40.580 people know

00:44:41.080 to be true

00:44:41.640 or you

00:44:42.340 can't convince

00:44:42.980 them.

00:44:43.980 You have to

00:44:44.820 say what

00:44:45.520 the person

00:44:47.500 you're trying

00:44:47.920 to convince,

00:44:49.380 if they

00:44:49.960 believe

00:44:50.560 something's

00:44:51.560 true,

00:44:52.240 you have to

00:44:53.020 specifically

00:44:53.920 address it.

00:44:55.060 You can't

00:44:55.480 just ignore

00:44:55.940 it or you

00:44:57.220 just look like

00:44:57.800 a liar if

00:44:59.200 you ignore

00:44:59.640 the argument

00:45:00.220 and try to

00:45:01.180 make a point

00:45:01.600 without addressing

00:45:02.880 the main

00:45:03.300 argument.

00:45:03.660 All right,

00:45:05.460 here's what

00:45:05.920 else he

00:45:06.220 says.

00:45:07.300 He refers

00:45:07.840 to ivermectin

00:45:08.720 as, quote,

00:45:10.680 horse medicine.

00:45:13.420 If a

00:45:14.140 doctor, an

00:45:15.380 actual medical

00:45:16.300 doctor, refers

00:45:18.660 to ivermectin,

00:45:19.960 which we know

00:45:20.680 is something

00:45:21.480 that's used

00:45:22.020 for both

00:45:22.500 humans in

00:45:23.220 some cases

00:45:23.840 and animals

00:45:25.020 in different

00:45:25.500 cases, if he

00:45:27.080 refers to it

00:45:27.820 in his

00:45:28.180 persuasion as

00:45:28.960 horse medicine,

00:45:29.680 should you

00:45:31.160 listen to

00:45:31.620 anything else

00:45:32.320 he says?

00:45:33.700 Nope.

00:45:34.500 Nope.

00:45:35.400 Because he's

00:45:36.160 talking like

00:45:36.780 the people

00:45:37.160 that are

00:45:37.460 already

00:45:37.720 convinced.

00:45:39.200 If your

00:45:39.840 doctor is

00:45:40.360 trying to

00:45:40.740 convince you

00:45:41.220 not to

00:45:41.700 take

00:45:41.920 ivermectin

00:45:42.640 and he

00:45:44.120 calls it

00:45:44.460 horse medicine,

00:45:45.720 what's the

00:45:46.400 first thing

00:45:46.920 you think

00:45:47.320 about that

00:45:47.740 doctor?

00:45:49.320 Fucking

00:45:49.720 idiot. 0.79

00:45:51.260 Right?

00:45:51.860 Two words.

00:45:52.800 Fucking

00:45:53.100 idiot. 0.79

00:45:54.400 Would you

00:45:54.980 listen to

00:45:55.500 anything else

00:45:56.360 a doctor

00:45:56.780 said after

00:45:58.620 calling ivermectin

00:45:59.660 horse medicine?

00:46:01.440 You would

00:46:01.800 not.

00:46:03.060 Everything

00:46:03.500 said after

00:46:04.960 the two

00:46:05.620 words horse

00:46:06.220 medicine should

00:46:07.600 be discounted

00:46:09.380 because whoever

00:46:10.540 says that is a

00:46:11.520 fucking idiot. 0.98

00:46:12.920 Because you

00:46:13.280 know it's

00:46:13.600 both a human

00:46:14.320 drug and a

00:46:15.560 horse drug and

00:46:16.220 it's a little

00:46:16.800 different.

00:46:18.540 So this is

00:46:20.640 a real good

00:46:21.280 case of where

00:46:22.200 doctors are not

00:46:23.140 taught persuasion.

00:46:24.960 This doctor

00:46:25.700 needed to say

00:46:26.540 that ivermectin

00:46:27.460 is used for

00:46:28.120 humans.

00:46:28.520 This doctor

00:46:29.840 needed to say

00:46:30.560 there were

00:46:30.920 31 randomized

00:46:32.420 controlled trials

00:46:33.860 that shows it

00:46:34.500 works.

00:46:35.180 This doctor

00:46:35.800 needed to say

00:46:36.680 that there was

00:46:38.540 a meta-analysis

00:46:39.380 that suggests

00:46:40.060 it works.

00:46:40.940 He needed to

00:46:41.620 say all of

00:46:42.200 those things.

00:46:43.900 And then,

00:46:45.160 having said

00:46:45.780 those things,

00:46:47.160 I will listen

00:46:48.440 to his

00:46:48.780 argument of

00:46:51.160 why he thinks

00:46:51.760 ivermectin

00:46:52.340 isn't the

00:46:52.880 answer.

00:46:53.980 Now, he

00:46:54.420 doesn't actually

00:46:55.020 ever give a

00:46:55.560 reason.

00:46:55.800 so i don't

00:46:57.400 think he

00:46:57.680 had one.

00:46:59.120 But, you

00:47:01.400 know, and

00:47:01.700 he's even

00:47:02.080 acting as

00:47:02.680 though he

00:47:03.960 couldn't

00:47:04.360 prescribe

00:47:04.880 something unless

00:47:05.660 it was

00:47:06.040 approved for

00:47:06.880 their purpose.

00:47:08.260 Would you

00:47:08.980 listen to a

00:47:09.680 doctor, a

00:47:11.620 doctor, who

00:47:13.020 told you that

00:47:13.960 they can't

00:47:14.500 prescribe

00:47:14.900 something unless

00:47:16.700 it was approved

00:47:17.340 for their

00:47:17.680 purpose?

00:47:18.100 I mean, I'm

00:47:19.920 not a doctor

00:47:20.820 and I know

00:47:21.260 you can do

00:47:21.740 that, right?

00:47:24.300 Don't all of

00:47:24.960 you know you

00:47:25.460 can do that?

00:47:26.820 I think everyone

00:47:27.580 on here knows

00:47:28.180 a doctor can

00:47:28.840 prescribe something

00:47:29.860 as long as the

00:47:31.160 doctor's judgment,

00:47:32.700 you know, has a

00:47:33.300 reason, there's a

00:47:34.080 medical theory to

00:47:35.680 it, and it looks

00:47:36.720 like the risk-reward

00:47:37.740 makes sense.

00:47:39.060 Of course they

00:47:39.700 can.

00:47:40.940 So, this is the

00:47:43.060 least persuasive

00:47:44.320 doctor I've ever

00:47:45.440 seen.

00:47:45.820 Now, he's probably

00:47:46.280 a smart guy.

00:47:47.000 How do you

00:47:48.100 become a doctor

00:47:48.720 unless you're

00:47:49.200 smart, right?

00:47:50.240 So, there's no

00:47:51.780 question that

00:47:52.280 doctors are

00:47:52.860 smart.

00:48:00.320 But they

00:48:00.880 don't know

00:48:01.180 persuasion, and

00:48:01.940 maybe they

00:48:02.300 should.

00:48:05.260 The study I

00:48:06.200 told you about

00:48:06.760 masks had two

00:48:08.620 parts to it, and

00:48:09.240 I left out one

00:48:09.860 part.

00:48:10.740 First of all,

00:48:11.380 don't believe any

00:48:12.020 mask study, just

00:48:14.540 in general.

00:48:15.640 Just don't

00:48:16.080 believe anything.

00:48:17.000 Don't believe any

00:48:18.100 vaccine study, don't

00:48:19.420 believe any mask

00:48:20.140 study, don't believe

00:48:21.120 any ivermectin

00:48:22.060 study, just don't

00:48:23.240 believe anything on

00:48:23.920 the internet, because

00:48:25.420 the odds of a big

00:48:26.060 ride are small.

00:48:27.600 But, I should say

00:48:28.720 that the study that

00:48:30.140 shows that masks do

00:48:31.500 work did not show

00:48:34.940 that mandates work.

00:48:37.120 Got that?

00:48:38.600 It showed that from

00:48:39.820 a physical sense,

00:48:41.780 masks, according to

00:48:43.360 their research, make a

00:48:44.940 difference, and a

00:48:45.640 pretty big difference.

00:48:46.940 But, there was no

00:48:48.460 correlation between

00:48:50.340 the mandates and

00:48:53.060 a good effect.

00:48:54.600 Because, apparently,

00:48:55.680 people either wear

00:48:56.640 them or not in the

00:48:57.520 right situation, just

00:48:59.220 sort of naturally.

00:49:00.820 Let me say it a

00:49:01.520 different way.

00:49:02.720 Even if you did not

00:49:03.860 have a mask mandate

00:49:05.100 during a pandemic, you'd

00:49:06.960 probably wear a mask to

00:49:08.220 visit your grandmother in

00:49:09.480 the old folks' 0.99

00:49:10.100 home, right?

00:49:10.820 even without a

00:49:12.380 mandate.

00:49:13.460 So, it could be that

00:49:14.280 the mandate doesn't

00:49:15.700 add enough, because

00:49:17.260 people are already

00:49:17.960 using their judgment

00:49:18.940 and risk management in

00:49:21.320 a right enough way

00:49:23.140 that they're doing all

00:49:24.700 the important ones.

00:49:26.220 You know, they may be

00:49:26.960 doing everything that's

00:49:27.900 important and maybe

00:49:28.900 slacking on the less

00:49:30.240 important stuff, such

00:49:31.500 as not wearing a mask

00:49:33.200 outdoors.

00:49:35.440 Maybe.

00:49:36.200 That's just speculation

00:49:37.200 again.

00:49:37.620 Yeah, as Billy

00:49:41.120 Mandalay points out, a

00:49:42.480 mask mandate, a little

00:49:44.940 bit of sexist.

00:49:46.440 Couldn't it be a

00:49:47.040 person date?

00:49:48.740 Yeah, it could be.

00:49:49.820 It could be a people

00:49:50.500 date.

00:49:52.040 All right, I'm going to

00:49:52.760 go do some other

00:49:53.600 stuff, as long as I've

00:49:55.960 covered all my topics,

00:49:57.160 and I have.

00:49:58.520 And I would say today

00:49:59.640 was, once again, an

00:50:04.080 amazing, amazing live

00:50:05.660 stream.

00:50:06.380 Better than usual.

00:50:08.240 Gets better every time.

00:50:09.840 And I will talk to you

00:50:10.800 tomorrow.

00:50:11.620 Thank you.

00:50:11.820 Thank you.

Real Coffee with Scott Adams - September 07, 2021

Episode 1492 Scott Adams： Dr. Fauci versus Rand Paul Rematch, and Lots of New Information About the Things You Care About

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