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


Episode Stats

Length

44 minutes

Words per Minute

143.4122

Word Count

6,447

Sentence Count

398

Misogynist Sentences

5

Hate Speech Sentences

14


Summary

In this episode of Coffee with Scott Adams, host Scott Adams talks about the slowest news day in a while, and why he thinks there's a gene that causes some people to be short sleepers. Plus, a story about a cat that likes to be called by a whistle.


Transcript

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.
00:00:14.740 Amazing.
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00:00:25.980 Around the world, yes.
00:00:27.280 And all you need is a cup or a mug or a glass, a tank or chelsea stye, and a kinteen jug, a flask, a vessel of any kind.
00:00:33.800 Fill it with your favorite liquid I like, Coffee.
00:00:37.140 And join me now for the unparalleled pleasure, the dopamine here, the thing that makes everything better.
00:00:43.160 It's called the simultaneous sip, and it makes everything better.
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.
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?
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
00:07:59.440 with her big old sign.
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
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
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
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
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
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
00:35:10.460 own
00:35:10.680 vaccines,
00:35:12.820 China's
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
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
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
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
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
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
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,
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
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.