Real Coffee with Scott Adams - Episode 1419 Scott Adams： The Pessimist Says I'm Bald. The Optimist Says I Have an Efficient Vitamin D Receptor on My Head

00:00:00.000 Well, if I've done everything correctly, the sound quality on this production of Coffee with Scott Adams will be amazing.

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00:00:48.140 Watch. Go.

00:00:53.520 Oh, yeah.

00:00:55.740 Oh, yeah.

00:00:57.280 So, I don't know if you've noticed, but the news has slowed down a little bit.

00:01:05.200 A lot of it has to do with a lack of President Trump.

00:01:09.880 Man, you take Trump out of the headlines, and there's not much happening, is there?

00:01:14.580 But we'll talk about what is happening.

00:01:16.040 This might be the slowest news day in a while.

00:01:21.500 So, over on the Locals platform, where if you subscribe, you can see extra content from me,

00:01:28.200 especially the stuff I don't put on social media, because I'll get canceled.

00:01:31.740 But I did a little demonstration of whistling up a cat.

00:01:37.280 Now, I discovered years ago that I could whistle a certain frequency, and my cat would come running to me.

00:01:47.280 And she had not been trained to do that.

00:01:49.540 It just was a weird thing I noticed.

00:01:51.600 And then I got another cat, and that same cat would respond to the same tone, and now my third cat.

00:01:58.680 So, I did a little experiment in which I whistled, and I wanted to see if people could get their own cats to come to just the sound of my whistle,

00:02:07.440 if they just replayed it in their devices.

00:02:10.220 And it turns out it worked.

00:02:11.300 So, I got a bunch of...

00:02:13.680 It didn't work for everybody, but quite a number of people responded and said,

00:02:18.280 yeah, my cat, or my dog in some cases, came running as soon as they played it.

00:02:23.700 Now, here's the interesting part.

00:02:25.720 Ricky G., who's a subscriber over on Locals, he had his musical keyboard next to him,

00:02:32.880 so he matched the tone of my whistle to the keyboard,

00:02:36.520 and reports that it is the key of E natural above middle E.

00:02:44.040 So, if you're a musical and you know how to reproduce that on your keyboard,

00:02:48.880 it's the key of E natural above middle E.

00:02:52.880 So, try it and see if you can call your cat with that.

00:02:57.680 Now, I think it's going to work if you're the one doing it as opposed to playing it through a device.

00:03:05.140 All right.

00:03:07.200 It turns out that there's such a thing as a short sleeper gene.

00:03:14.340 I've probably told you way too many times that I hate sleep.

00:03:18.460 I mean, I hate sleeping.

00:03:20.560 I do it, because I need to, but I hate it.

00:03:23.580 And I've maybe told you before that if I get more than five hours a night,

00:03:29.100 I'm not happy about it.

00:03:31.280 Like, if I were forced to sleep eight hours a night,

00:03:34.480 I would just go crazy.

00:03:36.520 I just couldn't handle it.

00:03:38.020 But five, five's about right. 0.95

00:03:40.560 Now, it turns out that researchers have discovered there are some genes

00:03:45.240 that cause some people to be the so-called short sleepers,

00:03:50.540 and that they actually get all the sleep they need in these four or five hours.

00:03:55.460 And these people tend to be, I like this part because it sounds good to me,

00:04:01.840 they tend to be ambitious.

00:04:04.460 The people wake up after four or five hours and go to work, like me.

00:04:09.160 We tend to be ambitious.

00:04:11.920 So if you hear that there are some people who don't sleep much,

00:04:15.500 they're just genetically different.

00:04:17.580 And I would have to assume that I'm one of them,

00:04:20.080 because after years and years of experience,

00:04:22.600 I know I can't sleep eight hours.

00:04:24.280 And I know it's painful.

00:04:26.760 So there you have it.

00:04:29.580 There's some belief that Trump is one of those people.

00:04:33.540 I've heard it said from, I think his butler used to say,

00:04:36.640 that he genuinely only slept three hours a night.

00:04:40.140 Now, I think that's probably hyperbole,

00:04:41.920 but I'll bet he didn't sleep more than five,

00:04:45.820 because he does seem to be one of these short sleepers.

00:04:53.020 And it also said that 90% to 95% of them had phenomenal memories.

00:04:59.900 Now, I definitely don't have a phenomenal memory,

00:05:02.700 or even an especially good one.

00:05:05.500 You know, I can force myself to do well in school and classes if I need to,

00:05:10.880 but I definitely don't have a phenomenal memory.

00:05:13.940 All right, my other favorite question, or favorite story,

00:05:19.040 is, I don't know how to feel about this,

00:05:22.560 because do you ever laugh at things you're not supposed to laugh at?

00:05:28.460 You do, right?

00:05:30.160 Have you ever found yourself just snickering

00:05:33.420 as something that was bad happening to somebody else,

00:05:37.720 but because it wasn't you and it wasn't somebody you know,

00:05:42.780 you don't feel good about it.

00:05:46.160 But it's funny.

00:05:48.680 So, can we all agree,

00:05:50.880 before I talk about this next segment,

00:05:53.480 I'm a terrible person.

00:05:55.360 First, I will stipulate,

00:05:58.240 before I even mention this story,

00:06:01.200 apparently I'm not a good person.

00:06:03.840 If you laughed at this too,

00:06:06.280 well, you're not a good person either.

00:06:08.900 Join the club.

00:06:10.600 And here's the story.

00:06:12.780 And it really is bad.

00:06:14.300 I mean, it's genuinely bad.

00:06:17.260 No joke.

00:06:18.960 This is nothing to laugh at.

00:06:21.980 But it's funny.

00:06:23.800 I can't help it.

00:06:25.680 Did you see the video from the Tour de France?

00:06:29.160 Where there was a woman on the sideline,

00:06:32.220 and for some reason,

00:06:33.440 this is a funny part of the story,

00:06:34.720 the story needed to specify in the headline

00:06:37.920 that she was female.

00:06:39.720 A female fan.

00:06:42.340 Now listen to the story and ask yourself,

00:06:44.680 what part made the female part important to the story? 0.87

00:06:49.720 I'll just leave that there for you.

00:06:52.040 But the Daily Mail seemed to think it was important,

00:06:54.920 that you knew it was a female fan.

00:06:59.040 Maybe it's being sexist.

00:07:01.560 Maybe it's an important element to the story.

00:07:04.820 You decide.

00:07:08.360 So it seems that there was a fan on the sidelines,

00:07:11.580 and some of the Tour de France bicyclists went by,

00:07:15.800 and she decided,

00:07:17.120 don't know what she was thinking yet,

00:07:19.120 that this would be a good time

00:07:20.320 to take a big old cardboard sign

00:07:22.460 and go in front of,

00:07:26.660 you know, actually lean into the route

00:07:28.920 across the, you know, the road

00:07:31.080 and get a really good angle on the video.

00:07:36.120 Because I think they saw that maybe some professional,

00:07:39.380 the video people were over on one corner,

00:07:41.580 so she was making sure that her sign was very visible

00:07:44.480 to the people taking the video.

00:07:48.760 Now, the problem came

00:07:50.900 in that there were many, many bicyclists

00:07:53.980 yet to pass that narrow road.

00:07:57.140 She blocked one of them 1.00

00:07:59.440 with her big old sign. 0.97

00:08:01.840 The guy who hit the sign

00:08:03.140 hit the sign and went down.

00:08:05.980 Behind him were hundreds of people on bicycles

00:08:09.220 who could not go over

00:08:11.200 a person who was on the ground.

00:08:14.080 They laid down too.

00:08:15.900 Now, I don't know how many bikes went down.

00:08:18.720 They said something like 25,

00:08:20.620 but it looked like more to me.

00:08:22.580 Like, you saw the whole crowd

00:08:23.860 just go down like dominoes

00:08:25.280 from this one,

00:08:28.100 and I don't know why this is important to the story,

00:08:30.340 but a female fan.

00:08:32.860 As the Daily Mail reports,

00:08:34.800 not just a fan,

00:08:36.580 and not a male fan,

00:08:38.760 but a female fan

00:08:40.160 was important somehow to the story.

00:08:44.100 Now, I ask you,

00:08:46.660 how often does a national story

00:08:48.880 have an element of narcissism

00:08:52.460 in the story?

00:08:53.540 How often do you see a story

00:08:58.140 where, if you really dug into it,

00:09:00.200 you would find at the bottom of a story

00:09:02.020 somebody who didn't care about anything

00:09:04.960 except attention?

00:09:08.120 Now, I'm not going to diagnose

00:09:09.560 this female fan,

00:09:12.280 as the Daily Mail calls her.

00:09:14.360 I'm not going to diagnose her

00:09:15.860 as having a particular mental

00:09:17.600 or personality situation,

00:09:20.000 but I will say

00:09:21.520 that a lot of our national stories

00:09:23.900 have an element

00:09:24.700 that makes you go,

00:09:26.760 hmm,

00:09:27.880 there's at least one person

00:09:29.260 in this story

00:09:30.020 who cares about attention

00:09:31.840 more than they care about,

00:09:34.600 let's say,

00:09:35.240 the life of other people

00:09:36.520 on bicycles,

00:09:38.100 as one example.

00:09:39.640 Now, I hope nobody got hurt

00:09:41.080 and it was a tragedy

00:09:42.080 if you were,

00:09:43.660 you know,

00:09:44.340 an elite athlete

00:09:45.260 and you'd worked hard

00:09:46.300 to get into the Tour de France

00:09:47.680 and some idiot with a sign 0.95

00:09:49.060 and ruined your day.

00:09:50.840 That's really bad.

00:09:53.340 Funny.

00:09:54.900 Funny.

00:09:56.040 But really bad.

00:09:58.040 Because I'm a bad person.

00:10:02.560 There's a Center

00:10:04.000 for Countering Digital Hate

00:10:05.800 who did a little study.

00:10:08.620 Barry Ritholtz

00:10:09.540 was tweeting about this

00:10:10.960 on a good thread.

00:10:12.940 And here's an interesting factoid.

00:10:15.440 Have you ever thought to yourself

00:10:16.480 how much impact

00:10:17.400 can one person make?

00:10:19.580 How much impact

00:10:20.640 can one person make

00:10:21.840 in this big old world?

00:10:23.560 One person can't make

00:10:24.600 that much difference.

00:10:26.340 Maybe not.

00:10:27.640 But it turns out

00:10:28.440 that 12 people

00:10:29.560 are responsible

00:10:30.920 for 65%

00:10:32.540 of the anti-vax content

00:10:35.440 on the Internet.

00:10:37.740 12 people

00:10:38.800 are responsible

00:10:40.620 for 65%

00:10:42.480 of the anti-vax content.

00:10:45.280 Now for the purposes

00:10:47.000 of this discussion

00:10:47.980 we're not talking about

00:10:50.380 whether vaccines

00:10:51.220 are good or bad.

00:10:52.600 That's a separate conversation.

00:10:54.460 You can have that

00:10:55.180 on your own.

00:10:57.280 I'm just amazed

00:10:59.280 that 12 people

00:11:00.580 who have some

00:11:01.320 social media presence

00:11:02.720 and have a following

00:11:04.060 12 people

00:11:05.460 could control

00:11:07.320 65%

00:11:08.520 of the content

00:11:09.400 in this topic.

00:11:10.660 The anti-vax content.

00:11:12.220 It's kind of scary

00:11:13.720 isn't it?

00:11:15.140 How many

00:11:16.140 of those 12

00:11:17.100 were maybe

00:11:18.500 influenced

00:11:19.100 by one or two

00:11:20.200 of the others?

00:11:21.420 Because it might be

00:11:22.620 that really

00:11:23.440 it's two or three people

00:11:24.880 who happened

00:11:26.420 to influence

00:11:27.100 maybe

00:11:27.540 you know

00:11:28.180 nine or ten

00:11:29.180 other people

00:11:29.760 who then

00:11:31.140 influenced

00:11:31.960 millions

00:11:33.060 of other people

00:11:33.900 two or three

00:11:35.960 people

00:11:36.400 can make a big

00:11:37.360 difference

00:11:37.880 when social media

00:11:38.960 is the

00:11:39.680 is the medium

00:11:41.040 that they're using.

00:11:42.020 So every time

00:11:42.800 you think to yourself

00:11:43.520 well I can't make

00:11:44.720 much difference

00:11:45.440 in this big old world

00:11:46.600 yeah you can.

00:11:48.700 You can.

00:11:49.780 You might make

00:11:50.640 a bad difference

00:11:51.600 or it might be

00:11:52.760 a good difference

00:11:53.500 but yeah

00:11:55.560 you can

00:11:56.080 12 people.

00:11:58.520 Alright

00:11:58.760 I want to talk

00:12:02.000 about a topic

00:12:02.580 that you normally

00:12:03.680 turn off

00:12:04.400 but I'm going

00:12:05.800 to talk about

00:12:06.340 an angle of it

00:12:07.420 that I feel

00:12:09.340 is worth doing.

00:12:10.520 Alright

00:12:10.580 I personally

00:12:12.160 have no interest

00:12:13.540 anymore

00:12:14.080 of whether

00:12:15.340 masks work

00:12:16.500 or don't work.

00:12:18.140 To hear this

00:12:18.780 part clearly

00:12:19.400 if you're going

00:12:21.080 to try to talk

00:12:21.740 me into whether

00:12:22.380 masks work

00:12:23.400 or talk

00:12:24.420 me into

00:12:24.800 whether they

00:12:25.220 didn't work

00:12:25.820 and they're

00:12:26.160 more bad

00:12:26.600 than good

00:12:27.020 not interested

00:12:28.260 because it's

00:12:29.940 over.

00:12:31.020 I don't plan

00:12:32.000 to wear a mask

00:12:32.700 again.

00:12:34.020 But here's

00:12:35.060 what does

00:12:35.440 interest me.

00:12:36.800 How was it

00:12:37.620 that you came

00:12:38.780 to your opinion

00:12:39.380 and how did

00:12:40.800 you rationalize

00:12:42.540 your opinion

00:12:42.980 whichever it was.

00:12:44.580 So again

00:12:45.220 I don't care

00:12:46.340 what the answer

00:12:46.940 is

00:12:47.280 and I don't

00:12:48.480 care that you

00:12:48.840 have a strong

00:12:49.280 opinion on it.

00:12:50.160 I only want

00:12:50.840 to know how

00:12:51.220 you got there

00:12:51.800 because how

00:12:53.300 you got there

00:12:53.980 will tell you

00:12:54.500 something about

00:12:55.080 how you think

00:12:55.960 versus how

00:12:57.140 other people

00:12:57.660 think

00:12:58.060 and might be

00:12:58.800 useful for

00:12:59.300 the next topic

00:13:00.440 because what

00:13:01.560 if you were

00:13:02.680 thinking incorrectly

00:13:03.680 on this one

00:13:04.380 and nobody

00:13:05.360 caught you.

00:13:05.840 well that would

00:13:07.040 put you in a

00:13:07.600 bad position

00:13:08.200 for the next

00:13:08.820 situation.

00:13:09.920 You would be

00:13:10.400 equally ill

00:13:11.600 equipped.

00:13:12.480 So the only

00:13:12.980 thing I'm going

00:13:13.520 to do is

00:13:14.760 point out the

00:13:15.340 bad arguments

00:13:16.160 which is not

00:13:17.740 to say you're

00:13:18.280 wrong.

00:13:19.680 So for example

00:13:20.360 if we're going

00:13:21.420 forward and I

00:13:21.980 say well you

00:13:22.500 made a bad

00:13:23.040 argument for

00:13:24.420 or against

00:13:25.060 masks that

00:13:26.420 doesn't mean

00:13:26.780 you're wrong

00:13:27.220 about whether

00:13:28.460 masks are good

00:13:29.180 or bad.

00:13:29.800 It just means

00:13:30.240 that particular

00:13:30.960 argument doesn't

00:13:31.740 make sense.

00:13:32.360 Let me give

00:13:32.640 you some

00:13:32.960 examples.

00:13:33.960 All right

00:13:35.660 somebody said

00:13:36.620 it's math.

00:13:38.060 These are

00:13:38.340 responses to me

00:13:39.280 about masks.

00:13:40.860 Mathematically

00:13:41.380 speaking it's

00:13:42.300 like using a

00:13:43.000 chain link fence

00:13:43.880 to stop a

00:13:44.520 mosquito.

00:13:45.680 That is bad

00:13:47.560 thinking because

00:13:49.380 the thinking

00:13:50.940 here is that

00:13:51.580 the virus is

00:13:52.220 tiny and the

00:13:53.440 holes in any

00:13:54.280 mask are really

00:13:55.320 big compared

00:13:56.140 to a tiny

00:13:56.720 virus.

00:13:57.740 But the people

00:13:58.700 who make this

00:13:59.280 argument always

00:14:00.580 miss the fact

00:14:01.460 that viruses

00:14:02.420 travel on water

00:14:03.460 particles.

00:14:04.540 Some of the

00:14:04.880 small ones do

00:14:05.560 get through.

00:14:06.600 The larger

00:14:07.120 ones do not.

00:14:08.580 And that the

00:14:09.520 principle of

00:14:11.120 friction is in

00:14:12.480 play.

00:14:13.500 So if your

00:14:14.460 argument is the

00:14:16.000 virus is tiny

00:14:16.960 compared to the

00:14:18.200 holes in the

00:14:18.720 masks you do

00:14:19.940 not have a

00:14:20.540 rational argument.

00:14:22.320 So it's not

00:14:22.960 that you're right

00:14:23.520 or you're wrong.

00:14:24.860 That's not

00:14:25.340 rational because

00:14:26.340 you're leaving

00:14:26.760 out the biggest

00:14:27.300 part of the

00:14:27.740 argument which

00:14:29.100 is the viruses

00:14:29.860 travel on water

00:14:30.960 particles and

00:14:31.760 those are big

00:14:32.440 enough to be

00:14:33.500 stopped by

00:14:33.980 masks.

00:14:34.380 Not all of

00:14:35.180 them.

00:14:36.000 And again the

00:14:37.560 question is not

00:14:38.320 whether particles

00:14:39.180 get through.

00:14:40.180 If you think

00:14:40.900 that's the

00:14:41.360 question again you

00:14:43.120 have a bad

00:14:43.540 argument.

00:14:45.000 Some of them do

00:14:45.920 get through.

00:14:46.500 A lot of them

00:14:46.960 get through.

00:14:47.860 But the only

00:14:48.440 claim is that

00:14:49.340 for short times

00:14:50.800 in close quarters

00:14:51.900 it might make a

00:14:53.220 difference.

00:14:53.760 That's the only

00:14:54.160 claim of masks.

00:14:55.060 Another bad

00:14:57.560 argument is that

00:14:58.500 Fauci and the

00:14:59.660 WHO and the

00:15:00.400 CDC told us

00:15:01.840 directly that

00:15:02.980 masks do not

00:15:04.120 work.

00:15:05.800 Yes they did.

00:15:07.600 And then they

00:15:08.240 told you they

00:15:08.760 were lying to

00:15:10.280 keep the supply

00:15:11.520 of masks for

00:15:12.920 the medical

00:15:13.420 people.

00:15:14.360 So if your

00:15:14.980 argument is that

00:15:15.800 Fauci, the

00:15:16.480 WHO and the

00:15:16.940 CDC told you

00:15:18.400 directly masks

00:15:19.320 do not work

00:15:20.280 that's a bad

00:15:21.440 argument.

00:15:21.840 because they

00:15:23.120 admitted they

00:15:23.680 were lying and

00:15:24.420 then said they

00:15:24.940 definitely do

00:15:25.480 work.

00:15:26.340 They could be

00:15:26.980 wrong and you

00:15:28.260 could still be

00:15:28.820 right.

00:15:29.720 I'm just saying

00:15:30.260 that that

00:15:30.660 argument that

00:15:31.980 they once told

00:15:32.780 you they don't

00:15:33.320 work is nonsense

00:15:34.640 because they

00:15:35.380 told you they

00:15:35.840 were lying.

00:15:38.200 All right here

00:15:38.980 is another one.

00:15:40.740 Somebody said

00:15:41.580 that there's

00:15:42.180 evidence that

00:15:42.980 masks don't

00:15:43.800 work for

00:15:44.300 surgeries and

00:15:46.080 therefore they

00:15:46.760 extend that

00:15:47.340 argument to it

00:15:48.080 doesn't work for

00:15:48.660 anything.

00:15:50.160 Surgeries are

00:15:51.000 very specific.

00:15:51.840 in which you're

00:15:53.740 spending a

00:15:54.380 tremendous amount

00:15:55.020 of time in

00:15:57.200 the close

00:15:57.580 quarters.

00:15:59.180 Nobody believes

00:16:00.360 that if you

00:16:01.300 spent infinite

00:16:02.280 amount of time

00:16:03.060 with a mask

00:16:03.680 on it would

00:16:04.260 stop an

00:16:04.780 infection.

00:16:05.720 The whole

00:16:06.440 point is that

00:16:07.240 it might stop

00:16:07.940 some of them

00:16:08.540 if you're in

00:16:09.300 close quarters

00:16:09.980 for a short

00:16:10.740 amount of

00:16:11.100 time.

00:16:11.840 That's it.

00:16:12.600 That's the

00:16:13.020 entire claim

00:16:13.660 about masks.

00:16:15.280 So anything

00:16:15.840 about surgery

00:16:16.520 is just a

00:16:17.080 different situation.

00:16:19.080 Here's another

00:16:19.800 one.

00:16:21.840 There was

00:16:22.380 this one

00:16:22.800 doctor who

00:16:23.820 early on in

00:16:24.500 the pandemic

00:16:25.060 went on Joe

00:16:26.360 Rogan's show

00:16:27.020 and said

00:16:27.380 masks don't

00:16:28.180 work.

00:16:29.820 Okay.

00:16:30.760 But that

00:16:31.500 one doctor

00:16:32.300 failed to

00:16:33.380 convince all

00:16:34.240 of the top

00:16:34.700 medical

00:16:35.100 professionals in

00:16:36.600 every industrial

00:16:37.520 country and in

00:16:38.920 every state in

00:16:40.060 the United States.

00:16:41.880 So why did

00:16:44.100 none of these

00:16:45.100 entities agree

00:16:46.260 with that one

00:16:46.840 doctor who was

00:16:47.560 on Joe

00:16:47.960 Rogan?

00:16:48.300 And why

00:16:49.720 would you?

00:16:50.560 Why would you

00:16:51.320 say, well,

00:16:52.100 every single

00:16:53.060 state in the

00:16:54.280 country of the

00:16:55.500 United States

00:16:56.080 and every

00:16:56.780 industrialized

00:16:57.640 country are

00:16:58.660 all on exactly

00:16:59.560 the same

00:17:00.040 side that

00:17:01.320 masks do

00:17:02.040 make a

00:17:02.420 difference.

00:17:02.980 Now, somebody

00:17:04.240 said, what

00:17:05.380 about Sweden?

00:17:06.740 No mask

00:17:07.560 requirement.

00:17:08.500 Well, first of

00:17:09.040 all, a lot of

00:17:09.400 people did wear

00:17:10.020 masks in Sweden

00:17:10.860 on their own.

00:17:12.820 Secondly, the

00:17:14.200 reason they

00:17:14.580 didn't have the

00:17:15.100 requirement had

00:17:15.820 nothing to do

00:17:16.440 with whether

00:17:16.780 masks work.

00:17:17.820 it was

00:17:18.720 unrelated to

00:17:19.420 that.

00:17:19.820 It was more

00:17:20.260 of a social

00:17:21.460 economic decision,

00:17:22.900 right?

00:17:23.960 So that's a

00:17:25.640 bad argument.

00:17:26.620 Again, I'm not

00:17:27.580 saying masks work

00:17:28.540 or don't work.

00:17:29.260 That's irrelevant

00:17:29.960 to what I'm

00:17:30.580 talking about.

00:17:31.500 I'm only

00:17:31.900 asking, I'm

00:17:33.260 only talking

00:17:33.620 about whether

00:17:34.060 your argument

00:17:35.060 made sense,

00:17:36.060 not the

00:17:36.700 outcome.

00:17:38.420 Here's another

00:17:39.120 one.

00:17:40.000 There was a

00:17:40.680 meta-analysis

00:17:41.460 saying they

00:17:42.100 don't work.

00:17:44.320 Do you

00:17:44.920 believe that?

00:17:45.780 Do you

00:17:46.080 believe that

00:17:46.480 there was a

00:17:46.980 meta-analysis

00:17:47.800 showing that

00:17:48.620 masks don't

00:17:49.440 work for

00:17:50.040 COVID?

00:17:51.220 Well, I

00:17:51.920 wouldn't believe

00:17:52.400 one if there

00:17:52.900 was one.

00:17:54.080 And again,

00:17:55.080 why is it

00:17:55.720 that this

00:17:56.560 Twitter user

00:17:57.240 knows there

00:17:57.900 was this

00:17:58.300 meta-analysis,

00:17:59.560 but nobody

00:18:00.680 in charge

00:18:02.240 knows about

00:18:03.560 this?

00:18:04.540 It's a bad

00:18:05.220 argument.

00:18:06.300 So the

00:18:06.780 thing is,

00:18:07.380 why don't

00:18:07.780 any of the

00:18:08.280 professionals

00:18:08.780 agree with

00:18:09.420 you in all

00:18:10.120 of the

00:18:10.360 major countries?

00:18:11.640 What makes

00:18:12.520 you so smart

00:18:13.420 and them

00:18:14.500 so dumb?

00:18:16.420 All right.

00:18:17.980 One point is

00:18:18.980 that it would

00:18:19.320 be career

00:18:19.840 suicide to

00:18:20.780 disagree.

00:18:22.520 But yeah,

00:18:23.300 I see plenty

00:18:24.040 of professionals

00:18:25.320 who disagree

00:18:25.980 on climate

00:18:26.540 change.

00:18:27.960 Climate change

00:18:29.180 would be

00:18:29.500 career suicide,

00:18:31.060 but yet you

00:18:32.120 could probably

00:18:32.540 name several

00:18:33.300 skeptics who

00:18:34.080 are notable

00:18:34.540 scientists who

00:18:35.780 disagree.

00:18:37.460 Right?

00:18:38.060 Now, I'm not

00:18:38.600 saying who's

00:18:39.120 right, but

00:18:40.260 I'm saying

00:18:40.620 that in

00:18:41.720 every other

00:18:42.400 topic, there

00:18:43.440 are notable

00:18:44.020 people who

00:18:44.740 disagree, but

00:18:46.180 not on masks.

00:18:47.800 What's up with

00:18:48.360 that?

00:18:48.860 How do you

00:18:49.180 explain that?

00:18:49.960 Is it really

00:18:50.480 just people

00:18:50.960 protecting

00:18:51.440 themselves?

00:18:51.960 Well, here's

00:18:52.340 what you

00:18:52.600 should ask.

00:18:54.080 And I asked

00:18:54.800 this on Twitter,

00:18:55.420 but I haven't

00:18:55.720 seen all the

00:18:56.160 answers.

00:18:57.040 When initially

00:18:57.940 when Fauci,

00:18:58.860 the WHO,

00:18:59.240 and the CDC

00:18:59.820 said masks

00:19:01.360 definitely don't

00:19:02.280 work, was

00:19:03.500 there any

00:19:03.980 medical

00:19:04.360 professional in

00:19:05.820 any country or

00:19:06.820 state who

00:19:07.300 disagreed?

00:19:08.600 Publicly.

00:19:10.420 Do a fact

00:19:11.080 check me on

00:19:11.620 this.

00:19:12.580 When the

00:19:13.700 experts said

00:19:14.460 masks don't

00:19:15.540 work, did

00:19:16.940 all of the

00:19:17.740 experts agree

00:19:18.620 with them?

00:19:19.600 And then,

00:19:20.660 with no

00:19:21.260 change in

00:19:21.880 data, when

00:19:23.420 Fauci said,

00:19:24.180 whoops, I

00:19:24.640 was lying,

00:19:25.820 masks definitely

00:19:26.800 are useful,

00:19:27.460 you should wear

00:19:27.960 them, did

00:19:29.080 all of the

00:19:29.800 experts in

00:19:30.560 all of the

00:19:31.060 countries and

00:19:31.660 all of the

00:19:32.080 states, did

00:19:33.260 they originally

00:19:33.940 completely agree

00:19:35.400 with Fauci that

00:19:36.180 they don't

00:19:36.640 work?

00:19:37.580 And then,

00:19:38.600 with no

00:19:39.320 change in

00:19:39.960 data, did

00:19:41.140 they all

00:19:41.740 change to

00:19:42.640 they do

00:19:43.180 work?

00:19:44.360 Did that

00:19:44.800 happen?

00:19:45.820 Because if

00:19:46.520 that did

00:19:46.920 happen, then

00:19:47.840 the argument

00:19:48.400 that it's

00:19:49.640 just people

00:19:50.140 covering their

00:19:50.780 ass is 0.91

00:19:51.420 solid.

00:19:52.800 Wouldn't you

00:19:53.500 say?

00:19:54.420 So if you

00:19:55.840 stayed with me

00:19:56.820 this long,

00:19:58.480 I'm showing

00:19:59.440 you that there

00:19:59.920 is a good

00:20:00.340 argument on

00:20:00.880 your side,

00:20:02.080 the anti-mask

00:20:03.060 people.

00:20:03.580 That would be

00:20:04.260 the good

00:20:04.580 argument.

00:20:04.920 If it's

00:20:06.160 true, I

00:20:07.140 need a

00:20:07.420 fact check

00:20:07.840 on it.

00:20:08.640 But it

00:20:09.040 looks like

00:20:09.580 it might

00:20:09.900 have been

00:20:10.160 true.

00:20:11.260 It feels

00:20:11.740 like it's

00:20:12.160 true.

00:20:13.060 But again,

00:20:13.600 fact check

00:20:14.020 me on

00:20:14.300 this.

00:20:15.040 If all

00:20:15.700 the experts

00:20:16.260 simply went

00:20:16.980 lockstep to

00:20:18.660 a reverse

00:20:19.420 position with

00:20:20.840 no change

00:20:21.580 in the

00:20:21.880 data, then

00:20:23.480 yes, you

00:20:24.340 could say

00:20:24.720 that the

00:20:25.060 medical experts

00:20:25.840 cannot be

00:20:26.480 even listened

00:20:26.980 to.

00:20:27.760 You wouldn't

00:20:28.680 give them

00:20:29.020 any credibility

00:20:29.880 even if they

00:20:30.940 were unanimous

00:20:31.660 all over the

00:20:32.420 world.

00:20:33.840 Right?

00:20:34.800 I mean, that's

00:20:35.400 what I would

00:20:35.780 look for.

00:20:36.680 But what if

00:20:38.620 we find, and

00:20:39.820 I think we

00:20:40.240 might, find

00:20:41.400 that there

00:20:41.980 were plenty

00:20:42.520 of people

00:20:42.900 who said,

00:20:43.480 I hear what

00:20:45.720 you're saying,

00:20:46.240 Dr. Fauci,

00:20:47.760 but I'm not

00:20:50.080 quite there.

00:20:51.400 Was that the

00:20:51.980 situation?

00:20:53.500 Because here's

00:20:54.300 my memory of

00:20:55.080 it.

00:20:55.880 My memory of

00:20:56.900 it is that

00:20:57.340 when Fauci,

00:20:58.220 the CDC,

00:20:58.920 the Surgeon

00:20:59.300 General,

00:21:00.000 and who,

00:21:01.660 all said,

00:21:02.640 masks are

00:21:03.420 not useful,

00:21:05.280 I believe I

00:21:06.240 was the only

00:21:06.840 public figure

00:21:07.660 saying that

00:21:08.320 was bullshit.

00:21:10.100 Could I

00:21:10.680 be wrong?

00:21:11.400 Of course.

00:21:12.720 Of course I

00:21:13.420 could be

00:21:13.700 wrong.

00:21:14.540 Easily.

00:21:15.660 I mean,

00:21:16.240 I'm no

00:21:17.120 medical expert,

00:21:18.200 but I did

00:21:18.780 call it out

00:21:19.440 in public,

00:21:20.960 and I believe

00:21:21.480 I'm the first

00:21:22.100 in the country

00:21:22.780 who is a

00:21:24.140 public figure

00:21:24.880 who said

00:21:25.280 that.

00:21:26.520 But I

00:21:27.120 don't remember

00:21:27.540 if any

00:21:27.900 medical experts

00:21:28.640 were agreeing

00:21:29.160 with me at

00:21:29.620 the time.

00:21:30.200 I don't

00:21:30.460 recall any

00:21:31.420 of them,

00:21:31.900 actually.

00:21:33.200 So that's

00:21:33.720 what you

00:21:33.900 should ask

00:21:34.240 yourself.

00:21:37.180 One person

00:21:38.000 noted that

00:21:38.820 he or she

00:21:40.080 has been

00:21:40.400 in and out

00:21:40.840 of hospitals

00:21:41.400 during the

00:21:41.900 pandemic,

00:21:42.680 and that

00:21:43.260 if you

00:21:43.520 talk to

00:21:43.880 the doctors,

00:21:44.880 the doctors

00:21:45.440 will say,

00:21:46.740 not all of

00:21:48.320 the doctors

00:21:48.840 will say

00:21:49.560 masks are

00:21:50.260 a good

00:21:50.580 idea.

00:21:52.300 So,

00:21:53.480 if your

00:21:54.500 personal

00:21:54.980 doctor,

00:21:55.720 when they're

00:21:56.080 not being

00:21:56.660 judged in

00:21:58.100 public,

00:21:58.400 when you

00:21:59.180 have a

00:21:59.600 personal

00:22:00.280 conversation

00:22:00.920 with a

00:22:01.320 doctor,

00:22:02.220 are there

00:22:02.660 doctors who

00:22:03.740 are qualified

00:22:04.460 to make

00:22:05.720 a decision

00:22:06.120 on masks,

00:22:07.220 do they

00:22:07.800 tell you

00:22:08.160 that they're

00:22:08.640 not a

00:22:09.020 good idea?

00:22:10.160 Wait a

00:22:10.600 minute,

00:22:11.060 it's a

00:22:11.400 trick.

00:22:12.520 What does

00:22:12.860 it mean

00:22:13.100 to be

00:22:13.380 not a

00:22:13.700 good idea?

00:22:15.420 When you

00:22:16.040 say masks

00:22:16.660 are not

00:22:17.020 a good

00:22:17.320 idea,

00:22:18.560 you're

00:22:18.900 throwing

00:22:19.200 in all

00:22:19.580 of the

00:22:19.820 social,

00:22:20.440 economic,

00:22:21.660 psychological

00:22:22.220 parts of

00:22:23.380 it.

00:22:23.520 that's

00:22:25.140 not a

00:22:25.400 medical,

00:22:26.340 strictly a

00:22:27.220 medical

00:22:27.480 question.

00:22:28.840 So,

00:22:29.400 this isn't

00:22:30.160 a good

00:22:30.420 idea.

00:22:31.380 No matter

00:22:32.040 how many

00:22:32.540 individual

00:22:33.180 doctors say

00:22:34.620 masks are

00:22:35.380 not a

00:22:36.280 good idea,

00:22:37.420 does not

00:22:38.340 tell you

00:22:38.760 anything about

00:22:40.000 whether masks

00:22:41.280 stop infections.

00:22:43.280 It's a

00:22:43.580 different

00:22:43.740 question.

00:22:44.860 It could

00:22:45.380 be that they

00:22:45.820 do stop a

00:22:46.400 little bit

00:22:46.700 of infection,

00:22:47.520 but a

00:22:47.820 doctor still

00:22:48.340 doesn't

00:22:48.680 think it's

00:22:49.720 a good

00:22:49.980 idea.

00:22:51.360 It's a

00:22:52.020 different

00:22:52.220 topic.

00:22:53.520 All

00:22:54.680 right.

00:22:56.980 So,

00:22:57.960 that's my

00:22:59.820 take on

00:23:00.420 this.

00:23:01.260 So,

00:23:01.620 if you

00:23:01.880 want a

00:23:02.220 good

00:23:02.520 argument,

00:23:03.500 the good

00:23:03.920 argument is

00:23:04.740 that the

00:23:05.420 experts

00:23:05.960 change their

00:23:07.400 opinions

00:23:07.800 completely

00:23:08.340 without any

00:23:09.400 change in

00:23:09.880 data.

00:23:10.300 Therefore,

00:23:10.660 don't listen

00:23:11.100 to them.

00:23:12.040 Eh,

00:23:13.220 that's not

00:23:13.980 a bad

00:23:14.240 argument.

00:23:15.100 But the

00:23:15.520 argument about

00:23:16.220 the fleas

00:23:17.900 going through

00:23:18.380 the fence,

00:23:19.780 not a good

00:23:20.200 argument,

00:23:21.360 et cetera.

00:23:21.740 And somebody

00:23:27.680 was talking

00:23:28.000 about the

00:23:28.340 cause of

00:23:28.800 death being

00:23:29.320 COVID.

00:23:30.380 You know,

00:23:30.780 I can't

00:23:31.160 get past

00:23:31.600 the fact

00:23:32.100 that we

00:23:33.080 call the

00:23:34.080 cause of

00:23:34.700 death the

00:23:36.200 thing that

00:23:36.620 happened last.

00:23:38.700 Because the

00:23:39.380 thing that

00:23:39.700 happened last,

00:23:41.200 I'm not sure

00:23:42.440 that's the

00:23:42.880 cause,

00:23:43.640 right?

00:23:44.000 if a

00:23:45.480 bubble boy

00:23:47.140 leaves a

00:23:47.680 bubble and

00:23:49.340 catches a

00:23:49.980 cold and

00:23:50.420 dies,

00:23:51.560 was the

00:23:52.000 cause of

00:23:53.020 death the

00:23:53.620 cold?

00:23:54.840 Or is the

00:23:55.500 cause of

00:23:55.920 death that

00:23:56.280 you were

00:23:56.520 born a

00:23:56.920 bubble boy

00:23:57.420 and the

00:23:58.500 world was

00:23:58.980 going to

00:23:59.200 kill you 0.70

00:23:59.500 if you

00:23:59.740 left your

00:24:00.080 bubble?

00:24:01.260 So,

00:24:02.160 the cause

00:24:03.320 of death

00:24:03.680 stuff is

00:24:04.460 irrational,

00:24:05.740 the way we

00:24:06.280 count it,

00:24:07.220 but probably

00:24:07.880 we have to

00:24:08.500 count it

00:24:08.820 anyway.

00:24:09.780 You know,

00:24:10.020 you sort of

00:24:10.400 have to.

00:24:11.280 How many of

00:24:11.920 you can tell

00:24:12.460 me the number

00:24:13.100 of people

00:24:13.620 who died

00:24:14.300 of COVID

00:24:15.080 in the

00:24:15.600 United States

00:24:16.480 yesterday?

00:24:18.200 In the

00:24:18.720 comments,

00:24:19.300 how many of

00:24:19.800 you know

00:24:20.100 the answer

00:24:20.520 to that?

00:24:21.860 Because I

00:24:22.560 feel that

00:24:23.040 during the

00:24:23.720 height of

00:24:24.440 the pandemic,

00:24:25.660 I could

00:24:26.320 have told

00:24:26.720 you about

00:24:27.340 how many

00:24:27.760 people were

00:24:28.200 dying every

00:24:28.740 day.

00:24:29.800 You know,

00:24:30.180 in January,

00:24:31.000 February,

00:24:31.480 wasn't it

00:24:31.920 3,000,

00:24:32.520 4,000 a

00:24:33.180 day?

00:24:34.940 350?

00:24:36.880 Your numbers

00:24:37.940 are all over

00:24:38.420 the place.

00:24:38.880 78,

00:24:40.180 zero.

00:24:40.920 It's not

00:24:41.180 zero.

00:24:41.560 Maybe a

00:24:43.220 dozen,

00:24:43.740 a few

00:24:43.920 hundred,

00:24:44.420 somebody

00:24:44.660 saying.

00:24:45.560 Somebody

00:24:45.880 is saying

00:24:46.160 300.

00:24:47.980 Now,

00:24:48.600 let me

00:24:48.900 ask you

00:24:49.220 this.

00:24:51.320 So,

00:24:51.860 we don't

00:24:52.140 know.

00:24:52.700 So,

00:24:53.000 why is it

00:24:53.400 we don't

00:24:53.860 know when

00:24:54.580 the number

00:24:54.920 gets smaller

00:24:55.640 it's not

00:24:56.520 reported?

00:24:57.540 Still news,

00:24:58.380 right?

00:24:59.000 If the

00:24:59.600 number were

00:25:00.240 10,

00:25:01.760 that would

00:25:02.260 be pretty

00:25:02.660 big news.

00:25:03.580 But I

00:25:03.900 don't know

00:25:04.120 what it

00:25:04.360 is,

00:25:04.620 a few

00:25:04.840 hundred.

00:25:05.640 Now,

00:25:06.140 let me

00:25:06.340 ask you

00:25:06.680 this.

00:25:08.520 Given

00:25:08.920 the

00:25:09.180 imprecision

00:25:09.940 of

00:25:11.400 measuring

00:25:12.440 what is

00:25:12.880 a COVID

00:25:13.280 death

00:25:13.680 versus

00:25:14.080 somebody

00:25:14.800 who

00:25:14.960 was

00:25:15.080 old

00:25:15.440 and

00:25:16.600 was

00:25:16.760 going

00:25:16.900 to

00:25:17.000 die

00:25:17.180 anyway.

00:25:18.380 Given

00:25:18.860 that

00:25:19.120 imprecision,

00:25:20.960 when you

00:25:21.680 get down

00:25:22.020 to a

00:25:22.300 certain

00:25:22.540 number

00:25:22.840 of

00:25:23.020 COVID

00:25:23.320 deaths,

00:25:24.480 isn't

00:25:24.740 it going

00:25:25.020 to match

00:25:25.580 exactly

00:25:26.200 the level

00:25:27.020 of uncertainty

00:25:27.740 about who

00:25:28.360 died at

00:25:28.880 all?

00:25:30.060 Like,

00:25:30.440 you know,

00:25:30.760 aren't we

00:25:31.100 very close

00:25:31.840 to the

00:25:32.140 point

00:25:32.500 where

00:25:33.580 you could

00:25:34.440 say it's

00:25:34.820 effectively

00:25:35.400 zero

00:25:35.960 because

00:25:37.200 if it's

00:25:37.900 a few

00:25:38.180 dozen,

00:25:38.820 that's

00:25:39.160 exactly

00:25:39.580 how many

00:25:39.980 you would

00:25:40.300 list

00:25:41.120 incorrectly.

00:25:42.620 Right?

00:25:42.840 Your error

00:25:43.540 rate would

00:25:43.960 be about

00:25:44.260 the same

00:25:44.680 as the

00:25:45.060 reported

00:25:45.420 number.

00:25:47.660 And

00:25:48.180 what

00:25:48.700 happens

00:25:49.180 when

00:25:49.900 the

00:25:50.380 regular

00:25:50.900 seasonal

00:25:51.440 flu,

00:25:52.320 allegedly,

00:25:53.720 starts

00:25:54.140 killing

00:25:54.440 people

00:25:54.860 in the

00:25:56.300 fall?

00:25:57.100 Are we

00:25:57.740 going to

00:25:57.980 know that

00:25:58.380 it was

00:25:58.660 just the

00:25:59.100 regular

00:25:59.480 flu that

00:25:59.980 killed

00:26:00.180 somebody?

00:26:00.840 Or are

00:26:01.340 we going

00:26:01.580 to know

00:26:01.780 it was

00:26:02.020 a COVID

00:26:02.380 death?

00:26:03.340 Will

00:26:03.600 they test

00:26:04.240 every 86

00:26:05.040 year old

00:26:05.480 who dies

00:26:05.980 of a

00:26:06.380 flu?

00:26:07.300 Will

00:26:07.540 they say

00:26:07.860 we better

00:26:08.220 check to

00:26:08.640 see if

00:26:08.880 that's a

00:26:09.220 COVID one

00:26:09.740 or a

00:26:10.060 regular

00:26:10.340 seasonal

00:26:10.780 flu?

00:26:11.680 I don't

00:26:11.920 think so.

00:26:13.140 Not all

00:26:13.540 the time.

00:26:17.320 Saginaw says,

00:26:18.200 in your

00:26:18.420 estimation,

00:26:18.980 what percentage

00:26:19.500 point does

00:26:19.900 it take for

00:26:20.360 someone to

00:26:20.820 change their

00:26:21.460 behavior on

00:26:23.220 any health

00:26:23.780 issue?

00:26:24.440 I don't

00:26:24.900 think it's

00:26:25.400 a percentage

00:26:26.060 question,

00:26:26.980 as in what

00:26:27.600 percentage of

00:26:28.260 doctors,

00:26:28.860 et cetera.

00:26:29.580 I think

00:26:30.220 people make

00:26:30.780 a decision

00:26:31.260 and then just

00:26:31.820 stick with

00:26:32.280 it no

00:26:32.600 matter what

00:26:32.980 the data

00:26:33.300 does.

00:26:34.280 So all

00:26:34.940 evidence

00:26:35.400 about how

00:26:36.200 humans act

00:26:37.440 suggests that

00:26:38.820 we don't

00:26:39.180 really use

00:26:39.660 data.

00:26:40.900 We might

00:26:41.540 use it

00:26:42.040 initially

00:26:43.120 without even

00:26:44.380 knowing if

00:26:44.860 the data

00:26:45.220 is right,

00:26:46.180 but then

00:26:46.700 once we

00:26:47.160 commit to

00:26:47.660 a position,

00:26:48.300 we just

00:26:48.600 don't

00:26:48.840 change.

00:26:50.040 Very few

00:26:50.740 people who

00:26:51.280 are anti-mask

00:26:52.600 would ever

00:26:54.160 change their

00:26:54.720 opinion no

00:26:55.360 matter what

00:26:55.820 kind of

00:26:56.200 research came

00:26:56.960 afterwards.

00:26:57.660 I don't

00:26:58.480 think anybody

00:26:58.920 would.

00:27:05.200 He who

00:27:06.020 shouldn't be

00:27:06.500 named was

00:27:07.180 talking about

00:27:07.840 hydroxychloroquine

00:27:08.880 last night.

00:27:09.760 Was that

00:27:10.140 Trump?

00:27:14.740 Yeah,

00:27:15.380 we're going

00:27:15.680 to see what

00:27:16.060 happens this

00:27:16.980 winter.

00:27:18.500 And I'm

00:27:18.980 still amazed

00:27:19.540 that we've

00:27:19.960 gone this

00:27:20.460 far into

00:27:21.220 a pandemic

00:27:21.860 without knowing

00:27:23.020 what causes

00:27:24.460 viruses to

00:27:25.300 go away

00:27:25.700 in the

00:27:26.000 summer.

00:27:26.960 We actually

00:27:27.840 don't even

00:27:28.420 know that.

00:27:30.120 How much

00:27:30.760 do we

00:27:31.120 know?

00:27:34.080 So Trump

00:27:34.920 is on

00:27:35.500 Rumble

00:27:36.140 now.

00:27:37.540 Oh,

00:27:37.740 is that

00:27:38.020 the,

00:27:39.540 did he make

00:27:40.120 an announcement

00:27:40.640 that he was

00:27:41.180 moving to

00:27:41.680 Rumble?

00:27:42.060 I thought he

00:27:42.520 was already

00:27:42.940 there.

00:27:43.460 No?

00:27:44.820 Maybe,

00:27:45.380 was that the

00:27:45.820 big announcement

00:27:46.360 he was talking

00:27:46.920 about,

00:27:47.320 that he's

00:27:47.860 going to put

00:27:48.540 his content

00:27:49.080 on Rumble?

00:27:51.000 I'll have to

00:27:51.600 look into that.

00:27:52.260 So I'm just

00:27:52.720 seeing some

00:27:53.000 comments,

00:27:53.620 but I don't

00:27:53.940 know the,

00:27:54.560 don't know

00:27:55.260 the details.

00:27:58.180 All right.

00:27:58.860 And let me

00:28:00.440 ask you this.

00:28:01.920 How many

00:28:02.480 things have

00:28:03.180 our experts

00:28:03.940 gotten right

00:28:05.140 this year?

00:28:09.280 How many?

00:28:10.520 Oh,

00:28:10.800 he just

00:28:11.140 joined.

00:28:11.800 So somebody's

00:28:12.720 telling me

00:28:13.040 Trump just

00:28:13.680 joined Rumble.

00:28:14.640 Well,

00:28:14.920 that's not a

00:28:15.320 big surprise

00:28:15.800 because I

00:28:16.160 think Don

00:28:16.600 Jr.

00:28:16.960 has been

00:28:17.160 there for

00:28:17.480 a while.

00:28:19.100 And that

00:28:19.700 makes sense.

00:28:20.240 All right.

00:28:23.580 Well,

00:28:23.860 if Trump's

00:28:24.460 on Rumble,

00:28:25.220 I've got a

00:28:25.900 Rumble account

00:28:26.460 too.

00:28:27.120 So I'm

00:28:27.640 going to

00:28:28.200 give that

00:28:28.720 a good

00:28:29.020 look.

00:28:31.720 Don't

00:28:32.120 trust

00:28:32.360 experts.

00:28:32.920 All right.

00:28:33.500 So experts

00:28:34.240 definitely lied

00:28:35.280 to us about

00:28:35.880 masks.

00:28:36.880 We know

00:28:37.320 that because

00:28:38.060 they changed

00:28:38.640 their view

00:28:39.080 from no

00:28:39.800 to yes.

00:28:40.600 So one

00:28:41.000 of those

00:28:41.280 was a lie.

00:28:41.880 We don't

00:28:42.100 know which

00:28:42.360 one.

00:28:43.380 I suppose

00:28:44.040 you don't

00:28:44.400 know which

00:28:44.700 one.

00:28:44.900 what else

00:28:48.120 did they

00:28:48.420 lie about?

00:28:49.740 I'm pretty

00:28:50.340 sure they're

00:28:50.740 lying about

00:28:51.260 seasonal flu.

00:28:56.200 Daniel says

00:28:57.080 if I want

00:28:57.540 a complete

00:28:57.900 genetic

00:28:58.260 report,

00:29:00.260 oh,

00:29:00.540 you can

00:29:00.800 provide it

00:29:02.040 for free

00:29:02.420 and you're

00:29:02.780 on locals.

00:29:04.540 A genetic

00:29:05.400 report about

00:29:06.160 my ability

00:29:07.300 to sleep.

00:29:07.920 That's

00:29:08.240 interesting.

00:29:09.180 I don't

00:29:09.520 think I

00:29:09.840 need that

00:29:10.220 genetic

00:29:10.640 report

00:29:11.640 because it's

00:29:12.200 just so

00:29:12.560 obvious in

00:29:13.500 my case

00:29:14.000 that I'm

00:29:15.120 genetically

00:29:15.560 inclined

00:29:16.280 toward not

00:29:16.860 sleeping a

00:29:17.380 lot.

00:29:18.380 I don't

00:29:18.960 think I

00:29:19.260 even need

00:29:19.760 to test

00:29:20.120 that.

00:29:24.720 So you're

00:29:25.400 saying the

00:29:25.760 experts might

00:29:26.440 have been

00:29:26.640 wrong about

00:29:27.140 hydroxychloroquine.

00:29:28.440 I don't

00:29:28.820 know about

00:29:29.200 that.

00:29:30.160 I'm not

00:29:30.780 ready to

00:29:31.180 make that

00:29:31.540 claim.

00:29:32.480 You probably

00:29:33.060 think the

00:29:33.460 experts were

00:29:34.040 wrong about

00:29:34.500 ivermectin.

00:29:35.500 Again,

00:29:36.660 possibly,

00:29:38.240 but I'm

00:29:39.380 not the

00:29:40.060 expert who's

00:29:40.660 going to

00:29:40.900 tell you

00:29:41.140 they got

00:29:41.500 that wrong.

00:29:42.260 I don't

00:29:42.740 have that

00:29:43.100 qualification.

00:29:44.000 Oh,

00:29:46.240 about the

00:29:46.660 Wuhan lab

00:29:47.520 being the

00:29:48.140 source of

00:29:48.720 the outbreak.

00:29:51.360 They were

00:29:51.680 probably wrong

00:29:52.240 about that.

00:29:53.740 Somebody says

00:29:54.380 they're wrong

00:29:54.720 about the

00:29:55.080 death rate

00:29:55.620 of COVID.

00:29:57.160 I don't

00:29:57.500 know.

00:29:58.680 Well,

00:29:58.980 let me ask

00:29:59.340 you this.

00:30:00.500 During the

00:30:01.340 beginning of

00:30:01.860 the pandemic,

00:30:03.260 there were

00:30:03.940 quite a few

00:30:04.500 people who

00:30:05.120 said it's

00:30:05.820 a fake

00:30:06.840 pandemic.

00:30:08.720 but now

00:30:10.760 we have

00:30:11.540 at least

00:30:11.840 a number

00:30:12.220 of 580,000

00:30:14.880 people allegedly

00:30:16.340 died in this

00:30:17.200 country alone

00:30:17.840 from COVID.

00:30:19.400 Are you

00:30:20.180 convinced that

00:30:20.840 it was real?

00:30:21.960 Or do you

00:30:22.720 think over

00:30:23.300 half a million

00:30:23.940 deaths were

00:30:24.720 coded wrong?

00:30:28.080 Or do you

00:30:28.880 think that if

00:30:30.000 you added up

00:30:30.580 all the

00:30:30.980 deaths and

00:30:32.400 translated them

00:30:33.760 into years

00:30:35.340 of life that

00:30:36.680 are taken

00:30:37.040 away, because

00:30:38.260 most of the

00:30:38.680 deaths were

00:30:39.220 over 70,

00:30:40.520 over 80,

00:30:41.240 they didn't

00:30:41.740 have many

00:30:42.080 years of

00:30:42.460 life left.

00:30:43.520 If you were

00:30:44.120 to say,

00:30:44.680 okay, the

00:30:45.020 average life

00:30:45.980 is 77 years

00:30:47.940 or whatever it

00:30:48.500 is in this

00:30:48.960 country, and

00:30:50.100 you added up

00:30:50.640 all the years

00:30:51.900 lost from

00:30:53.100 the seniors

00:30:54.220 who are dead,

00:30:55.600 and then you

00:30:56.080 translated that

00:30:56.960 back into

00:30:57.600 one person

00:30:58.740 equals 75

00:30:59.520 years, how

00:31:00.680 many people

00:31:01.180 would that

00:31:01.480 be?

00:31:03.060 Does your

00:31:03.660 over half a

00:31:04.680 million people,

00:31:05.860 if you just

00:31:06.520 translated it,

00:31:07.040 into life

00:31:08.180 years of

00:31:08.820 77 apiece,

00:31:10.460 would it

00:31:10.780 turn out to

00:31:11.160 be 100,000?

00:31:13.120 50,000?

00:31:15.120 Like, how

00:31:15.500 small would

00:31:16.040 that get?

00:31:16.960 Because I

00:31:17.320 think if

00:31:17.640 you're over

00:31:18.000 80, your

00:31:18.660 life expectancy

00:31:19.460 is maybe,

00:31:20.340 what, three

00:31:20.740 years?

00:31:22.440 So, so,

00:31:24.140 three into

00:31:25.520 75, you

00:31:27.620 know?

00:31:31.020 So I

00:31:32.420 think you

00:31:32.740 end up

00:31:33.180 getting fewer

00:31:34.420 than 100,000

00:31:35.480 lifetimes

00:31:36.980 were lost,

00:31:38.040 equivalent

00:31:38.560 lifetimes.

00:31:42.140 Somebody

00:31:42.660 says their

00:31:43.100 grandma died

00:31:44.240 at 94

00:31:45.000 during the

00:31:45.720 pandemic,

00:31:46.260 yeah.

00:31:50.160 And if

00:31:51.040 the death

00:31:51.980 rate changes

00:31:52.700 completely,

00:31:53.560 now here's

00:31:54.120 the big

00:31:54.400 question.

00:31:55.760 So if the

00:31:56.820 first thing

00:31:57.180 you do is

00:31:57.580 translate into

00:31:58.360 years lost,

00:31:59.820 it looks like a

00:32:00.580 lot less of a

00:32:01.500 problem.

00:32:01.800 But secondly,

00:32:03.080 what's going

00:32:03.400 to happen

00:32:03.700 next year?

00:32:05.000 If next

00:32:05.900 year we

00:32:07.420 have an

00:32:07.780 unusually low

00:32:08.760 count of

00:32:09.480 deaths from

00:32:10.520 viruses,

00:32:11.820 or an

00:32:13.800 unusually low

00:32:14.580 death count

00:32:15.060 in general,

00:32:15.860 because it

00:32:16.620 took out so

00:32:17.260 many of the

00:32:17.880 people who

00:32:18.400 are close to

00:32:18.940 death this

00:32:19.520 year that

00:32:20.360 they won't

00:32:20.720 slop into

00:32:21.380 the next

00:32:22.020 year to

00:32:22.340 die,

00:32:23.520 don't you

00:32:24.080 have to

00:32:24.380 subtract

00:32:24.740 them to

00:32:26.060 find out

00:32:26.520 the net

00:32:27.060 deaths of

00:32:28.240 COVID?

00:32:28.660 So I

00:32:30.280 have a

00:32:30.620 feeling if

00:32:31.220 you were

00:32:31.520 honest about

00:32:32.200 the death

00:32:32.600 count,

00:32:33.460 and you

00:32:33.960 translated it

00:32:34.780 to a number

00:32:35.280 of years,

00:32:35.960 and then you

00:32:36.340 counted the

00:32:36.820 second year

00:32:37.400 where maybe

00:32:38.100 the death

00:32:38.580 count will

00:32:39.040 be unusually

00:32:40.240 low,

00:32:41.340 because people

00:32:42.400 died the

00:32:42.860 year before,

00:32:44.740 it could be

00:32:45.620 under 100,000

00:32:46.520 equivalent deaths,

00:32:48.820 which would

00:32:49.400 get it somewhere

00:32:50.140 pretty close to

00:32:51.180 a normal

00:32:51.920 seasonal flu

00:32:52.760 problem.

00:32:54.800 Now, of

00:32:55.380 course, it

00:32:55.840 still would

00:32:56.340 have overrun

00:32:56.940 the hospitals,

00:32:57.640 and you

00:32:58.680 still have

00:32:58.960 the long

00:32:59.400 haul risk,

00:33:00.480 and we

00:33:01.160 still don't

00:33:01.580 know how

00:33:01.760 to get

00:33:01.980 rid of

00:33:02.260 it,

00:33:02.600 so I'm

00:33:03.440 not saying

00:33:03.820 we should

00:33:04.140 have necessarily

00:33:04.680 done anything

00:33:05.180 differently,

00:33:06.300 but data

00:33:07.520 can be

00:33:08.680 manipulated

00:33:09.780 quite a bit

00:33:10.600 in this

00:33:10.900 case.

00:33:12.300 Somebody

00:33:12.600 says the

00:33:13.020 experts were

00:33:13.720 wrong on

00:33:14.360 lockdowns.

00:33:16.240 Were they?

00:33:17.640 I don't know

00:33:18.620 that they were

00:33:19.080 wrong on

00:33:19.600 lockdowns.

00:33:20.260 I believe

00:33:20.660 that you

00:33:21.300 can find a

00:33:21.880 lot of smart

00:33:22.420 people who

00:33:22.920 say that

00:33:24.280 the lockdowns

00:33:25.360 worked,

00:33:26.600 but

00:33:27.060 I think

00:33:28.500 that there's

00:33:29.620 a big

00:33:29.920 difference

00:33:30.300 between a

00:33:31.080 lockdown

00:33:31.460 and a

00:33:33.220 well-executed

00:33:34.340 lockdown,

00:33:35.260 and when

00:33:35.800 you're looking

00:33:36.160 at them,

00:33:36.500 we kind of

00:33:36.840 throw those 0.85

00:33:37.320 all together

00:33:37.780 and say,

00:33:38.360 well, it's

00:33:38.720 all lockdowns,

00:33:40.920 but wouldn't

00:33:42.240 there be a

00:33:42.660 big difference

00:33:43.220 between, let's

00:33:43.820 say, a

00:33:44.400 Sweden

00:33:44.760 lockdown,

00:33:46.160 in which

00:33:46.540 people just

00:33:47.080 did social

00:33:47.740 distancing

00:33:48.260 largely

00:33:49.460 voluntarily,

00:33:51.880 and they

00:33:52.840 didn't do

00:33:53.180 big gatherings,

00:33:54.000 et cetera,

00:33:54.280 Sweden had

00:33:55.780 a lockdown,

00:33:57.220 it just

00:33:57.660 was a

00:33:58.500 little more

00:33:58.940 permissive,

00:34:00.460 and then

00:34:01.100 California

00:34:01.680 had a

00:34:01.980 lockdown,

00:34:02.500 which was

00:34:02.900 probably way

00:34:03.680 too strict,

00:34:05.340 a lot of

00:34:06.140 businesses

00:34:06.540 closed that

00:34:07.320 didn't need

00:34:07.680 to,

00:34:08.360 so I'm

00:34:08.840 not sure

00:34:09.140 you can

00:34:09.580 take the

00:34:11.420 permissive

00:34:12.480 lockdown and

00:34:13.520 match it

00:34:14.160 with the

00:34:14.520 non-permissive

00:34:15.340 one,

00:34:16.060 one might

00:34:16.620 have been

00:34:16.860 short,

00:34:17.500 one might

00:34:17.900 have been

00:34:18.160 long,

00:34:19.600 I don't

00:34:20.320 know if

00:34:20.520 you can

00:34:20.740 average that

00:34:21.280 stuff.

00:34:24.620 Do you

00:34:25.240 think social

00:34:25.900 distancing

00:34:26.420 didn't

00:34:26.860 work?

00:34:28.160 Social

00:34:28.640 distancing

00:34:29.180 is the

00:34:29.640 one thing

00:34:30.000 that had

00:34:30.400 to work,

00:34:31.540 it had

00:34:31.900 to,

00:34:32.780 now it

00:34:33.500 didn't

00:34:33.700 stop

00:34:34.160 anything,

00:34:35.020 but it

00:34:35.380 certainly

00:34:35.700 had to

00:34:36.040 slow it

00:34:36.380 down,

00:34:36.880 I don't

00:34:37.040 think,

00:34:37.320 if you're

00:34:37.680 arguing

00:34:37.980 about

00:34:38.380 social

00:34:39.380 distancing

00:34:39.920 working,

00:34:40.900 that's a

00:34:41.520 crazy

00:34:41.820 argument,

00:34:42.660 because

00:34:42.840 viruses

00:34:43.540 do have

00:34:44.800 a distance

00:34:45.320 limit.

00:34:47.380 China

00:34:47.800 has no

00:34:48.340 COVID,

00:34:48.900 somebody

00:34:49.180 says,

00:34:50.160 well,

00:34:51.280 is that

00:34:51.740 true?

00:34:52.820 I heard

00:34:53.720 that they

00:34:54.040 were having

00:34:54.400 some

00:34:54.780 outbreaks

00:34:55.340 recently,

00:34:57.540 and how

00:34:58.260 does,

00:34:58.680 how does

00:34:59.880 China not 0.95

00:35:00.640 have a

00:35:01.140 huge,

00:35:01.520 major

00:35:02.320 outbreak

00:35:02.720 again?

00:35:03.140 I don't

00:35:03.440 understand

00:35:03.960 what's

00:35:04.240 going on

00:35:04.620 over there.

00:35:07.140 All

00:35:07.300 right,

00:35:08.260 China's 0.76

00:35:10.460 own

00:35:10.680 vaccines,

00:35:12.820 China's 0.76

00:35:15.440 using

00:35:15.760 therapeutics,

00:35:17.360 somebody

00:35:17.720 says,

00:35:18.080 that's

00:35:18.380 possible,

00:35:19.320 I mean,

00:35:19.600 we're using

00:35:20.100 therapeutics,

00:35:20.860 two,

00:35:21.300 maybe

00:35:21.520 different

00:35:21.800 ones.

00:35:24.820 Patrick

00:35:25.300 says,

00:35:25.980 on your

00:35:26.360 anecdotal

00:35:26.800 evidence of

00:35:27.420 your

00:35:27.600 allergies

00:35:28.020 subsiding,

00:35:28.660 Fauci's

00:35:29.120 organization

00:35:29.700 named

00:35:30.000 National

00:35:30.300 Institute of

00:35:30.840 Allergy

00:35:31.180 and

00:35:31.360 Infectious

00:35:31.980 Disease.

00:35:33.560 Allergy

00:35:34.080 and

00:35:34.340 Infectious

00:35:34.800 Disease.

00:35:36.300 Patrick,

00:35:37.620 Esquire,

00:35:38.900 good catch.

00:35:40.160 Yeah,

00:35:40.620 so I'm

00:35:41.200 certainly not

00:35:41.680 going to

00:35:41.840 make a

00:35:42.160 claim that

00:35:42.640 my allergies

00:35:43.120 went away

00:35:43.580 because I

00:35:44.020 got the

00:35:44.320 vaccination.

00:35:45.560 It's

00:35:45.880 just that

00:35:46.500 after the

00:35:47.680 vaccination,

00:35:49.000 my allergies

00:35:49.580 went away.

00:35:50.600 I don't

00:35:51.300 know why.

00:35:52.460 I can't

00:35:53.100 tell you

00:35:53.380 why.

00:35:53.780 It never

00:35:54.080 happened

00:35:54.380 before.

00:35:55.780 And I

00:35:57.080 just put

00:35:57.500 that out

00:35:57.860 there as

00:35:58.200 a single

00:35:58.740 data point.

00:36:00.760 Have I

00:36:01.400 read Norm

00:36:02.000 McDonald's

00:36:02.620 novel?

00:36:03.080 I didn't

00:36:03.440 know Norm

00:36:03.940 had a

00:36:04.360 novel.

00:36:05.620 But that's

00:36:06.280 interesting.

00:36:07.220 I like

00:36:07.660 everything

00:36:08.040 Norm

00:36:08.300 McDonald

00:36:08.600 does,

00:36:09.060 so I'd

00:36:09.300 probably

00:36:09.740 like

00:36:10.140 his

00:36:10.300 novel.

00:36:15.840 Fake

00:36:16.440 is

00:36:16.620 hyperbole

00:36:17.340 for

00:36:17.660 change.

00:36:18.020 Yeah,

00:36:18.560 okay,

00:36:19.200 then there's

00:36:19.620 questions about

00:36:20.240 the PCR

00:36:20.740 tests,

00:36:21.300 et cetera.

00:36:24.040 All

00:36:24.320 right.

00:36:26.720 David

00:36:27.280 says,

00:36:28.060 please talk

00:36:28.740 to Brett

00:36:29.280 Weinstein

00:36:29.980 about

00:36:30.520 COVID

00:36:30.940 stuff.

00:36:32.660 Why?

00:36:34.040 Why?

00:36:35.380 What good

00:36:36.120 would that

00:36:36.440 do?

00:36:38.020 I

00:36:38.540 appreciate

00:36:39.300 this

00:36:39.740 suggestion,

00:36:41.240 but think

00:36:41.960 this

00:36:42.200 through.

00:36:43.440 If you're

00:36:44.120 familiar with

00:36:44.740 Brett

00:36:45.200 Weinstein's

00:36:45.900 content,

00:36:47.700 what would

00:36:49.360 I add

00:36:50.640 to that?

00:36:52.160 Because

00:36:52.640 what Brett

00:36:53.840 adds is

00:36:54.940 a rational

00:36:56.340 look at

00:36:58.120 the topic.

00:36:59.740 Would I

00:37:00.660 be adding

00:37:01.180 an irrational

00:37:02.080 look?

00:37:03.600 What would

00:37:04.360 I add?

00:37:05.440 Because I

00:37:05.960 think my

00:37:07.020 approach and

00:37:07.540 his approach

00:37:08.200 to,

00:37:09.980 let's say,

00:37:10.720 analysis

00:37:11.320 would be

00:37:13.100 basically

00:37:13.620 identical,

00:37:14.420 wouldn't

00:37:14.580 it?

00:37:15.160 And if

00:37:15.800 he and

00:37:16.200 I

00:37:16.360 disagreed

00:37:17.200 on what's

00:37:18.400 the logical

00:37:19.600 way to

00:37:20.040 look at

00:37:20.340 something,

00:37:21.220 he'd

00:37:21.860 probably

00:37:22.100 just change

00:37:22.640 my mind.

00:37:23.700 So you

00:37:24.120 would just

00:37:24.400 get more

00:37:24.820 Brett.

00:37:26.480 And I

00:37:27.720 wouldn't add

00:37:28.080 anything.

00:37:29.560 The big

00:37:30.080 trap that I

00:37:31.580 warn you

00:37:31.900 against is

00:37:33.120 thinking that

00:37:33.760 you watched

00:37:34.220 a podcast

00:37:34.760 and learned

00:37:35.480 something.

00:37:35.840 that doesn't

00:37:37.620 happen.

00:37:39.520 Watching a

00:37:40.320 podcast of

00:37:41.580 one expert

00:37:42.400 or two

00:37:43.520 experts who

00:37:44.100 are on the

00:37:44.480 same side

00:37:45.120 saying what

00:37:46.360 they think

00:37:46.780 is true 0.89

00:37:47.280 is almost

00:37:48.940 certainly

00:37:49.620 bad information,

00:37:51.780 even if the

00:37:52.360 expert's right.

00:37:53.260 Because there's

00:37:54.060 somebody who's

00:37:54.600 got different

00:37:55.280 context,

00:37:56.000 different point

00:37:56.480 of view,

00:37:57.040 and you kind

00:37:57.840 of need to

00:37:58.340 hear it to

00:37:59.440 know that

00:37:59.740 you're hearing

00:38:00.040 something good.

00:38:00.620 So my

00:38:01.480 problem with

00:38:02.020 the news

00:38:03.240 model and

00:38:04.040 the podcast

00:38:04.760 interview model

00:38:05.780 is that they're

00:38:07.320 either one

00:38:08.080 side without

00:38:08.760 context,

00:38:10.060 completely misleading

00:38:11.040 and useless,

00:38:11.980 and you shouldn't

00:38:12.600 pay attention to

00:38:13.300 them too much,

00:38:14.880 or they try to

00:38:16.880 put two

00:38:17.660 battling people 0.88

00:38:18.520 on and it's

00:38:19.300 just bickering

00:38:19.900 and you run

00:38:20.920 out of time

00:38:21.460 and nobody

00:38:21.940 solves anything.

00:38:23.500 So you

00:38:24.540 really have to

00:38:25.140 watch yourself,

00:38:27.160 believing that

00:38:27.960 you learned

00:38:28.440 something because

00:38:29.060 you watched a

00:38:29.660 podcast.

00:38:29.980 If you're

00:38:30.940 watching Joe

00:38:31.740 Rogan's

00:38:32.400 material,

00:38:34.360 tremendously

00:38:35.280 entertaining,

00:38:36.680 high value to

00:38:38.220 the audience,

00:38:39.020 which is of

00:38:39.680 course why he

00:38:40.200 is successful,

00:38:41.140 because he

00:38:41.680 provides tremendous

00:38:42.760 value to the

00:38:43.500 audience.

00:38:44.760 But it's

00:38:46.420 not science,

00:38:48.120 it's somebody

00:38:49.020 with an opinion

00:38:49.860 talking to

00:38:51.400 another smart

00:38:52.040 person who's

00:38:52.700 getting their

00:38:53.100 opinion out

00:38:55.240 there.

00:38:56.260 That's not

00:38:56.960 science.

00:38:58.480 It's good to

00:38:58.880 hear, and

00:38:59.920 it's an

00:39:00.280 addition to

00:39:00.820 the conversation

00:39:01.420 every time,

00:39:02.500 in my opinion.

00:39:03.880 So it's all

00:39:04.620 good, but

00:39:06.020 don't feel like

00:39:07.060 you learned

00:39:07.520 something.

00:39:08.420 That would be

00:39:09.040 a trap.

00:39:11.540 The most you

00:39:12.460 learned is that

00:39:13.140 there is another

00:39:13.680 point of view.

00:39:14.480 That's what you

00:39:15.320 can learn.

00:39:15.840 You can't learn

00:39:16.360 what's true.

00:39:18.960 Let's talk about

00:39:19.940 white rage.

00:39:20.680 Is there

00:39:23.200 white rage?

00:39:24.720 And if

00:39:25.600 white rage

00:39:26.280 exists,

00:39:27.620 doesn't it

00:39:28.260 apply to

00:39:29.140 Antifa?

00:39:32.160 Isn't

00:39:32.720 Antifa

00:39:33.240 mostly white

00:39:34.040 rage?

00:39:35.180 And isn't

00:39:36.120 Black Lives

00:39:36.780 Matter

00:39:37.180 mostly white

00:39:39.760 rage?

00:39:41.360 Now you say

00:39:42.100 to yourself,

00:39:42.680 but Scott,

00:39:43.320 Black Lives

00:39:43.900 Matter are 1.00

00:39:45.320 black citizens.

00:39:47.420 So how could

00:39:47.900 black citizens

00:39:48.600 have white

00:39:49.320 rage?

00:39:51.220 Do the

00:39:51.940 numbers.

00:39:53.120 How many

00:39:53.640 people who

00:39:54.160 protested in

00:39:55.940 favor of

00:39:56.440 Black Lives

00:39:56.920 Matter were 1.00

00:39:57.420 white and

00:39:58.700 were outraged?

00:40:00.080 A lot.

00:40:01.420 Probably more

00:40:02.020 than the number

00:40:02.580 of black

00:40:03.040 people, just

00:40:03.940 because of the

00:40:04.840 percentages of

00:40:05.760 people in the

00:40:06.200 country.

00:40:07.320 I'm guessing.

00:40:08.460 Do a fact

00:40:09.000 check on this.

00:40:10.060 If you were to

00:40:10.660 look at the

00:40:11.160 crowds marching

00:40:12.580 for Black Lives

00:40:13.660 Matter, weren't

00:40:14.840 most of them

00:40:15.520 non-black?

00:40:16.100 And I

00:40:18.040 would think

00:40:18.420 that they

00:40:18.800 looked pretty

00:40:19.300 mad, looked

00:40:20.200 like they

00:40:20.480 had a lot

00:40:21.000 of rage.

00:40:21.860 So white 0.86

00:40:22.300 rage is

00:40:24.840 like just

00:40:25.420 being white.

00:40:27.520 Have you

00:40:28.080 met any

00:40:28.600 large groups

00:40:29.660 of white

00:40:30.140 people who

00:40:30.620 didn't have

00:40:31.040 rage about

00:40:31.560 something?

00:40:32.540 If you see

00:40:33.100 a bunch of

00:40:33.520 LGBTQ people

00:40:36.080 protesting,

00:40:37.360 most of them

00:40:38.080 are going to

00:40:38.360 be white,

00:40:39.500 and they

00:40:39.860 might be

00:40:40.520 outraged

00:40:41.100 about something.

00:40:42.380 I don't

00:40:42.920 know any

00:40:43.380 group of

00:40:43.880 white people

00:40:44.380 that you

00:40:44.640 can put

00:40:44.900 together and

00:40:45.480 they're not

00:40:45.820 outraged

00:40:46.340 about something.

00:40:47.680 You've got

00:40:48.120 your Karens

00:40:48.940 and your

00:40:49.440 Antifas.

00:40:51.400 Yeah.

00:40:52.720 So white 0.86

00:40:53.520 rage is

00:40:54.100 real, except

00:40:55.560 that it's

00:40:55.960 universal.

00:40:57.200 If you're

00:40:57.760 imagining that

00:40:58.420 the only ones

00:40:58.900 who have

00:40:59.240 it are some

00:41:00.620 white supremacists

00:41:01.740 or something,

00:41:02.880 I think you're

00:41:03.580 missing the

00:41:04.000 point of white

00:41:04.560 people.

00:41:04.960 We're outraged

00:41:05.640 at everything.

00:41:07.360 We need to

00:41:08.180 unify the

00:41:08.800 country and

00:41:09.220 focus on

00:41:09.860 all-American

00:41:11.400 rage.

00:41:12.520 You know,

00:41:12.780 the only reason

00:41:13.660 that people

00:41:15.060 are not

00:41:15.440 unified is

00:41:16.460 that leaders

00:41:17.600 don't want

00:41:18.240 us to be.

00:41:19.740 Unity takes

00:41:20.740 away your

00:41:21.160 power if

00:41:21.960 you're a

00:41:22.260 leader.

00:41:23.640 If you

00:41:24.540 want to be

00:41:24.880 a leader to

00:41:25.480 your community

00:41:26.360 and you've

00:41:27.780 got everything

00:41:28.280 you wanted,

00:41:29.560 what happens

00:41:30.120 to your job?

00:41:31.600 Right?

00:41:31.800 Unity is the

00:41:32.520 last thing you

00:41:33.040 want if you're

00:41:33.560 a leader.

00:41:34.160 It's only

00:41:34.500 something that

00:41:35.140 the citizens

00:41:36.580 want sometimes.

00:41:38.960 But there's

00:41:39.640 definitely no

00:41:40.160 leaders that

00:41:40.840 want unity.

00:41:41.440 it's not a

00:41:47.640 white thing,

00:41:48.120 it's a

00:41:48.360 people thing.

00:41:49.700 Yeah.

00:41:50.320 White rage, 0.99

00:41:51.720 I'm joking

00:41:52.540 about it,

00:41:53.680 but is

00:41:55.300 there some

00:41:55.660 community that

00:41:56.480 doesn't have

00:41:57.000 rage when

00:41:57.580 they've got a

00:41:58.020 good reason

00:41:58.520 for it?

00:41:59.300 I don't

00:41:59.580 think so.

00:42:00.600 I think

00:42:00.920 people get

00:42:01.560 outraged

00:42:03.120 very easily.

00:42:07.040 You are

00:42:07.720 confusing leaders

00:42:08.520 with politicians.

00:42:09.800 No, I'm not.

00:42:10.420 When I say

00:42:11.620 leaders, I'm

00:42:12.480 talking about

00:42:12.920 leaders of

00:42:13.640 Antifa, well,

00:42:15.220 I guess that

00:42:15.560 doesn't count.

00:42:16.520 Leaders of

00:42:16.980 Black Lives Matter,

00:42:17.920 leaders of

00:42:18.540 any organization.

00:42:20.420 They don't have

00:42:21.200 to be politicians.

00:42:24.140 You want me to

00:42:25.300 live stream my

00:42:26.520 e-bike ride?

00:42:27.920 I might do

00:42:29.020 that.

00:42:29.880 I might do

00:42:30.460 that.

00:42:30.820 I was just

00:42:31.200 trying to figure

00:42:31.800 out a good

00:42:32.220 way to attach

00:42:32.880 a camera,

00:42:33.880 because the

00:42:34.220 last time I

00:42:34.720 attached my

00:42:35.440 phone to my

00:42:37.180 e-bike, the

00:42:38.240 holder was not

00:42:39.180 good and my

00:42:40.060 phone ended

00:42:40.680 up many

00:42:41.800 miles from

00:42:42.940 me on the

00:42:43.540 road, but

00:42:44.860 I got it

00:42:45.180 back.

00:42:47.160 All right,

00:42:47.840 that is all

00:42:48.620 I got for

00:42:49.020 now.

00:42:49.700 It's a slow

00:42:50.100 news day, and

00:42:51.520 I will talk

00:42:52.120 to you.

00:42:53.060 Oh, wait,

00:42:53.500 one more

00:42:53.800 question from

00:42:54.400 Dean.

00:42:55.440 What are your

00:42:55.800 thoughts of the

00:42:56.200 next two years

00:42:56.700 in regards to

00:42:57.200 the economy?

00:42:58.600 Lots

00:42:58.820 predicted crash.

00:43:02.220 I feel as

00:43:03.300 if we're at a

00:43:04.360 point where all

00:43:05.340 of our crashes

00:43:06.020 are temporary,

00:43:07.640 meaning that if

00:43:08.460 you had bought

00:43:08.960 stock during

00:43:09.820 the 2009

00:43:10.780 meltdown, you

00:43:12.440 would have

00:43:12.640 made a lot

00:43:13.020 of money.

00:43:14.940 I didn't buy

00:43:15.780 stock.

00:43:17.380 If you bought

00:43:18.360 stock during

00:43:19.880 the pandemic

00:43:20.780 meltdown, you

00:43:22.240 would have made

00:43:22.580 a lot of

00:43:22.900 money.

00:43:23.980 In that case,

00:43:24.800 I did, because

00:43:25.380 I learned from

00:43:25.960 2009, and I

00:43:27.700 said to myself,

00:43:28.400 I'm not going

00:43:28.760 to miss this

00:43:29.160 one.

00:43:30.020 I just went

00:43:30.720 all in on

00:43:31.380 stocks, and

00:43:32.080 that turned

00:43:33.620 out to be the

00:43:34.280 best decision I

00:43:35.160 ever made.

00:43:35.580 Have I ever

00:43:39.540 heard of

00:43:39.900 ultra-white

00:43:40.500 kind of

00:43:42.980 paint?

00:43:44.720 No, I

00:43:45.920 haven't.

00:43:47.600 Do I still

00:43:48.320 have the

00:43:48.580 Pope hat?

00:43:49.060 Of course I

00:43:49.520 do.

00:43:49.660 Yeah, inflation

00:43:50.940 is going to be

00:43:51.880 a problem.

00:43:53.100 We just don't

00:43:54.180 know how big.

00:43:56.000 So, there's

00:43:57.860 something about

00:43:58.380 the economy in

00:43:59.320 the modern

00:43:59.780 era that

00:44:01.480 doesn't seem

00:44:02.240 stoppable.

00:44:02.860 I feel that

00:44:05.600 a depression

00:44:06.560 happens when

00:44:08.320 lots of things

00:44:09.660 get broken, and 0.68

00:44:10.840 also you can't

00:44:11.620 communicate well

00:44:12.480 to fix it.

00:44:13.760 I feel like you

00:44:14.620 don't get a

00:44:15.200 depression if

00:44:17.660 people can

00:44:18.320 communicate and

00:44:19.360 move resources

00:44:20.120 where they need

00:44:20.760 to go, and

00:44:21.880 that sort of

00:44:22.360 thing.

00:44:22.600 So, I think

00:44:22.960 we're somewhere

00:44:23.560 protected against

00:44:24.600 the biggest

00:44:25.180 downside.

00:44:26.320 But a 10 to

00:44:27.000 20 pullback,

00:44:28.280 10 to 20%

00:44:29.200 pullback of the

00:44:30.260 stock market,

00:44:31.640 yeah.

00:44:31.840 you know

00:44:33.400 that's going

00:44:33.820 to happen.

00:44:34.760 It might

00:44:35.020 happen this

00:44:35.520 year, it

00:44:36.080 might happen

00:44:36.360 next year,

00:44:37.100 it might

00:44:37.260 happen in

00:44:37.600 five years,

00:44:38.200 but 10 to

00:44:39.160 20% pullbacks

00:44:40.400 are just

00:44:41.120 routine.

00:44:42.580 You can't

00:44:43.120 not have

00:44:43.560 them.

00:44:44.160 And when

00:44:44.400 they happen,

00:44:45.260 buy stock.

00:44:47.260 That's my

00:44:47.820 non-advice.

00:44:54.280 All right,

00:44:55.000 that's it for

00:44:55.420 now.

00:44:55.820 I'll talk to

00:44:56.280 you tomorrow.

Real Coffee with Scott Adams - June 27, 2021

Episode 1419 Scott Adams： The Pessimist Says I'm Bald. The Optimist Says I Have an Efficient Vitamin D Receptor on My Head

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