Real Coffee with Scott Adams - Episode 1532 Scott Adams： Let's Talk About Mandatory Vaccinations for Robots. And More Nonsense.

00:00:00.000 I wasn't going to be here.

00:00:02.220 Come on, all you YouTubers. 0.86

00:00:05.300 You know I wouldn't miss it.

00:00:07.760 One minute delay.

00:00:09.160 A little technical problem.

00:00:11.080 Practically nothing.

00:00:13.180 And by now, you're starting to realize

00:00:17.000 that something special has happened, right?

00:00:20.520 Somehow you made it to the best place in the world.

00:00:24.880 Seven plus billion people wandering around lost

00:00:29.060 by you, my friends, made it to exactly the right place

00:00:32.840 and even before the time to start.

00:00:36.540 Very good, very good.

00:00:37.940 If you'd like to take it to another level,

00:00:39.900 all you need is a cup or a mug or a glass of tanker gel,

00:00:41.780 a canteen jug or a flask of a vessel of any kind.

00:00:44.760 Fill it with your favorite liquid.

00:00:45.700 I like coffee.

00:00:47.460 And join me now for the unparalleled pleasure,

00:00:50.980 the dopamine here of the day,

00:00:52.840 the thing that makes everything better.

00:00:57.240 Except my throat.

00:00:59.060 It's called the simultaneous sip and it happens now.

00:01:01.560 Go.

00:01:07.720 Antibodies.

00:01:09.260 Yep.

00:01:10.520 Those antibodies are surging.

00:01:13.840 Now, some of you,

00:01:15.840 and I'm sorry, YouTube people,

00:01:19.540 I hate to tell you, but you missed this.

00:01:21.680 Last night was the prototype first episode

00:01:26.500 of After Dark with Scott Adams.

00:01:30.100 Yes, not the simultaneous sip,

00:01:32.600 but the simultaneous talk.

00:01:36.080 And only the people on the local subscription service

00:01:40.180 got to see that.

00:01:41.920 Yes, we hung out in my man cave.

00:01:44.160 A good time was had by all.

00:01:45.820 Might do more of that in the future.

00:01:47.060 Well, how about the good news?

00:01:50.400 Shall we start with that?

00:01:52.040 Shall we start with the good news?

00:01:55.240 Here's the coolest news

00:01:56.660 and the one I've been waiting for.

00:01:59.220 There's a company called Joby Aviation.

00:02:03.160 CNN is reporting this.

00:02:04.520 They have a,

00:02:06.000 they've developed at least a prototype

00:02:07.420 of a six-rotor helicopter slash airplane.

00:02:13.140 Now, it's a slash airplane

00:02:14.820 because it can lift off with its six rotors

00:02:18.020 like a helicopter.

00:02:20.080 So suddenly you don't need an airport.

00:02:23.180 It can fly 200 miles an hour.

00:02:26.160 Do you know how fast a Cessna flies?

00:02:29.660 Not that fast.

00:02:32.460 So it's faster than a small airplane.

00:02:35.240 It's actually faster than a PITS,

00:02:38.840 which is an aerobatic plane.

00:02:40.640 Oh yeah, I know all about planes

00:02:42.240 because I listen.

00:02:47.120 Somebody says 250.

00:02:48.760 I think it depends on the Cessna,

00:02:50.480 but your typical Cessna,

00:02:51.960 you could be, you know,

00:02:52.920 if you're getting 160, 180,

00:02:55.600 wouldn't that be on the high end?

00:02:56.880 145 for a typical Cessna,

00:03:00.340 somebody's saying.

00:03:01.480 Anyway, it's quite, it's electric.

00:03:05.060 Did I mention that?

00:03:05.900 It's electric.

00:03:07.940 And it's safer than a helicopter

00:03:09.920 because it has six rotors.

00:03:11.420 I assume six engines,

00:03:13.460 probably some redundancy.

00:03:15.040 I'm guessing that if you lose one of the rotors,

00:03:17.440 you're probably in pretty good shape

00:03:18.740 to finish your flight.

00:03:20.320 Guessing.

00:03:23.400 And it'll go 150 miles on a charge

00:03:26.080 at 200 miles an hour.

00:03:27.920 It'll seat four passengers and one pilot.

00:03:32.480 I think they solved everything.

00:03:35.220 Didn't they?

00:03:35.820 It feels like they solved every problem

00:03:38.560 with flight.

00:03:40.720 Think about every problem you have with flight.

00:03:44.560 Doesn't this kind of solve most of them?

00:03:47.320 Not the long hauls,

00:03:48.640 but certainly the shorter flights.

00:03:51.540 All right.

00:03:52.460 So that's pretty cool.

00:03:54.560 Looking forward to that.

00:03:56.080 Dr. Anarchy on Twitter,

00:04:01.120 who's a real doctor,

00:04:03.640 suggests that maybe when I was talking about

00:04:06.020 the Havana syndrome being a mass hysteria,

00:04:09.920 which I wouldn't say is confirmed yet,

00:04:11.860 but at this point,

00:04:13.620 the smart money is on mass hysteria

00:04:15.680 for the Havana syndrome secret sonic weapon.

00:04:18.440 And Dr. Anarchy points out,

00:04:21.260 you know,

00:04:21.820 it might be a mass hysteria

00:04:23.400 with this long COVID stuff.

00:04:26.420 To which I say,

00:04:28.220 hmm,

00:04:29.380 could be.

00:04:31.680 Because it does have the right characteristics,

00:04:34.420 which is the news is talking about it,

00:04:36.420 people are suggestible,

00:04:37.940 and there's a whole bunch of gray area stuff

00:04:40.080 like brain fog,

00:04:41.160 headaches,

00:04:41.480 some loss of appetite

00:04:43.020 that people get anyway.

00:04:45.500 So it's pretty,

00:04:47.200 pretty easy to imagine

00:04:48.880 that people would be,

00:04:50.160 you know,

00:04:51.160 imagining they're having more problems

00:04:52.760 than they have.

00:04:53.260 Now,

00:04:53.580 let me be,

00:04:54.200 let me be really specific here.

00:04:56.240 I'm not suggesting

00:04:57.920 that long COVID isn't real.

00:05:00.400 I'm not suggesting it isn't real.

00:05:03.140 I'm saying that whether it's real or not,

00:05:05.900 almost certainly there are lots of fake,

00:05:10.400 or let's say misdiagnosed symptoms

00:05:12.720 that are just accidental and coincidental.

00:05:16.100 So we don't know how big that effect is,

00:05:18.620 but if you think that you know

00:05:20.560 that long COVID is real

00:05:24.260 and that it's,

00:05:25.560 you know,

00:05:26.260 25% of the people who get it

00:05:28.120 or whatever the statistic is

00:05:29.920 from some study,

00:05:31.160 I don't think we know that.

00:05:33.120 I don't think we know that.

00:05:34.940 I think all we know

00:05:36.420 is that it's reported.

00:05:37.340 And so we have this bizarre situation,

00:05:42.480 the most bizarre situation ever.

00:05:46.500 What are all of us trying to do?

00:05:48.580 Make decisions based on data, right?

00:05:51.540 So 100% of us

00:05:52.940 are making decisions based on data.

00:05:56.040 Now, of course,

00:05:57.280 it's how much you trust the data as well.

00:05:59.380 But we've come down to the point,

00:06:00.760 we've actually evolved to the point

00:06:02.260 where our decision

00:06:04.360 on getting vaccinated or not,

00:06:06.160 at least the individual's decision,

00:06:08.340 is based on comparing

00:06:09.820 two mass hysterias.

00:06:15.460 Two mass hysterias.

00:06:17.640 Maybe.

00:06:19.440 Or at the very least,

00:06:20.560 we don't know what the data is.

00:06:22.540 So if you're making your decision

00:06:24.140 on vaccination,

00:06:24.860 you're probably saying,

00:06:26.060 all right,

00:06:26.280 what is the risk

00:06:27.000 of getting vaccinated

00:06:28.160 and being damaged

00:06:29.880 by the vaccination?

00:06:31.540 Do you know

00:06:31.880 what the answer to that is?

00:06:34.160 You don't know.

00:06:36.060 You don't know the risk.

00:06:37.660 It can't be known.

00:06:39.200 You can know

00:06:40.020 what they've found so far

00:06:41.380 and reported,

00:06:42.720 but that's not the same

00:06:44.200 as what the risk is.

00:06:45.080 Now what about

00:06:46.520 all the anecdotal reports

00:06:48.800 of people having problems

00:06:49.900 after the vaccination?

00:06:51.920 Well, there's enough noise

00:06:53.340 on that

00:06:53.840 to say

00:06:55.700 it could be real,

00:06:58.140 but it also could be

00:07:00.720 mass hysteria.

00:07:02.360 How would it look different

00:07:03.860 if the reports

00:07:05.500 of vaccination damage

00:07:08.380 and side effects,

00:07:09.300 how would it look different

00:07:10.440 if it were mass hysteria

00:07:12.020 or completely real

00:07:14.200 as many of you believe?

00:07:16.420 How would it look different?

00:07:19.100 The answer is it wouldn't.

00:07:21.320 It would look exactly the same

00:07:22.700 if it were a mass hysteria

00:07:24.000 as if the vaccination

00:07:26.260 actually has lots of side effects.

00:07:28.240 It would look

00:07:29.240 exactly the same.

00:07:32.140 So you don't know what it is

00:07:33.400 because it would look

00:07:34.060 exactly the same,

00:07:34.840 but which one's more likely?

00:07:37.520 I don't know.

00:07:39.400 You know,

00:07:39.900 there's some cases

00:07:40.760 where mass hysteria

00:07:41.800 is easy to spot.

00:07:43.380 Let me give you some examples.

00:07:45.440 Mass hysteria

00:07:46.280 that the devil

00:07:47.160 has occupied

00:07:49.080 a bunch of people.

00:07:52.240 Easy.

00:07:53.160 Because the devil

00:07:53.880 claim would be

00:07:55.020 so unlikely.

00:07:57.160 Just on the face of it,

00:07:58.280 you can say,

00:07:58.560 that's a mass hysteria.

00:08:00.480 The Meg Martin school

00:08:01.660 kids case

00:08:02.700 was an obvious

00:08:03.560 mass hysteria.

00:08:04.840 A bunch of people

00:08:05.460 believed in

00:08:06.120 satanic worshipping 0.92

00:08:07.640 happening at a school.

00:08:09.320 That's crazy.

00:08:09.960 And it turned out

00:08:11.380 it wasn't true.

00:08:13.240 Mass hysteria

00:08:14.120 about witches.

00:08:16.380 Believing that witches

00:08:17.440 are all around

00:08:18.560 in Salem,

00:08:19.420 for example.

00:08:20.180 That one's easy.

00:08:21.520 Because witches 0.94

00:08:22.320 are real.

00:08:23.860 So you say,

00:08:24.380 wait a minute,

00:08:25.200 you're believing

00:08:25.800 in something

00:08:26.280 that's almost

00:08:27.360 certainly not real.

00:08:28.440 A witch. 0.92

00:08:29.280 Probably a mass hysteria.

00:08:31.180 Look at the Havana

00:08:32.420 syndrome.

00:08:34.500 Easy to spot

00:08:35.660 as a mass hysteria.

00:08:37.020 Because really?

00:08:39.220 A secret sonic weapon

00:08:40.440 that's just being

00:08:42.380 used on Americans?

00:08:44.080 I don't know.

00:08:45.540 Right?

00:08:45.940 So there's just

00:08:46.540 an obvious thing

00:08:47.480 on the face of it

00:08:48.420 that's probably

00:08:50.380 not true.

00:08:51.360 Like a ghost

00:08:52.340 or a devil

00:08:52.900 or a secret sonic weapon.

00:08:55.580 But what happens

00:08:56.440 if you have

00:08:56.860 a normal situation?

00:08:58.780 A normal situation

00:08:59.760 is that

00:09:00.500 medicine

00:09:02.820 and vaccinations

00:09:04.320 can have side effects

00:09:05.480 for some people.

00:09:07.080 So you can't really

00:09:08.340 spot a mass hysteria

00:09:09.520 in this case.

00:09:10.840 Because there's nothing

00:09:11.620 on the face of it

00:09:12.900 that's ridiculous.

00:09:15.000 If you tell me,

00:09:15.880 but Scott,

00:09:16.300 it is ridiculous

00:09:17.100 that all these smart people

00:09:18.920 would approve a drug

00:09:19.980 that has all these

00:09:20.680 side effects.

00:09:22.500 No,

00:09:23.100 that's not ridiculous.

00:09:25.440 That's something

00:09:26.640 you hope didn't happen.

00:09:27.600 I don't have a spoon.

00:09:34.760 If I had a spoon,

00:09:35.800 I would clank it

00:09:36.480 in my coffee

00:09:37.100 for a sticks and hammer.

00:09:39.460 If I had one.

00:09:41.880 So,

00:09:43.240 yeah,

00:09:44.840 there is no spoon.

00:09:46.800 I don't have a spoon.

00:09:48.340 Sorry.

00:09:49.100 If I had one,

00:09:49.780 I would be happy

00:09:50.440 to comply.

00:09:50.960 do you feel

00:09:57.800 that you're making

00:09:58.420 your vaccination decision

00:09:59.860 based on data

00:10:01.020 or lack of trust

00:10:04.620 for the source?

00:10:06.760 Which one

00:10:07.180 do you think it is?

00:10:09.380 Because

00:10:09.980 the two datas

00:10:11.720 that you're comparing

00:10:12.560 could be both

00:10:13.480 mass hysterias.

00:10:14.840 We might have

00:10:15.540 a mass hysteria

00:10:16.360 about vaccination

00:10:17.200 side effects.

00:10:18.420 At the same time,

00:10:19.500 we have a mass hysteria

00:10:21.260 about COVID

00:10:21.840 long haul.

00:10:23.400 Or

00:10:23.840 one of them

00:10:25.200 could be real

00:10:25.820 and the other one not.

00:10:27.860 Or

00:10:28.300 both of them

00:10:29.640 could be totally real.

00:10:31.780 You don't know.

00:10:33.300 How could you tell?

00:10:35.140 How could you tell?

00:10:38.940 So,

00:10:39.460 if somebody says

00:10:40.040 that they're basing

00:10:40.780 their decision

00:10:41.340 more on lack of trust

00:10:42.680 based on the source,

00:10:47.040 I would

00:10:48.080 suggest to you

00:10:49.460 that no matter

00:10:51.180 which way you go,

00:10:52.580 it's because of

00:10:53.440 lack of trust.

00:10:55.660 Lack of trust

00:10:56.560 should be universal

00:10:57.480 on both sides

00:10:58.300 of the question.

00:10:59.560 You shouldn't trust

00:11:00.140 anybody at this point.

00:11:01.780 Really.

00:11:02.420 You shouldn't trust

00:11:03.020 anybody.

00:11:04.400 So,

00:11:04.940 if the only people

00:11:05.920 you're not trusting

00:11:07.220 are the government,

00:11:08.900 you need to ramp up

00:11:10.480 your skepticism

00:11:11.320 at least double.

00:11:13.580 Because the government

00:11:14.540 is not the only

00:11:15.940 source of bad information.

00:11:18.280 It's one of them.

00:11:20.460 It's not the only one.

00:11:22.220 So,

00:11:22.540 you would be comparing

00:11:23.300 your lack of trust

00:11:25.180 in the government

00:11:25.960 to your more

00:11:27.880 trusting belief

00:11:29.380 that shit you see 0.87

00:11:30.680 on the internet

00:11:31.200 is pretty good.

00:11:33.860 So,

00:11:34.720 we don't have data.

00:11:36.960 And if you're using

00:11:37.680 some kind of,

00:11:38.840 you know,

00:11:39.060 in other words,

00:11:39.460 you can't use the data

00:11:40.260 to make a decision

00:11:41.080 because we don't have

00:11:42.060 good enough data.

00:11:43.480 But,

00:11:44.040 if you're trying

00:11:45.520 to game the system

00:11:46.900 with a rule of thumb,

00:11:48.040 like,

00:11:48.320 oh,

00:11:48.480 these people

00:11:48.960 are always lying,

00:11:49.980 or this group,

00:11:51.320 let's say the government,

00:11:52.580 is always trying

00:11:53.440 to put one over us,

00:11:54.580 or the big pharma

00:11:56.260 is lying about

00:11:57.340 its statistics,

00:11:58.840 maybe all of that's true.

00:12:01.860 But you know

00:12:02.560 what else you can't trust?

00:12:04.940 Everything on the other

00:12:05.920 side of the argument.

00:12:06.620 If you think

00:12:08.500 one side of the argument

00:12:09.520 is credible

00:12:10.380 and the other isn't,

00:12:13.580 where have you been lately?

00:12:16.700 Because I'll tell you

00:12:17.640 what's not happening

00:12:18.540 is you're not getting

00:12:20.120 any credible information.

00:12:22.680 Credible doesn't mean

00:12:23.640 incorrect.

00:12:24.640 It just means that

00:12:25.400 you shouldn't believe it

00:12:26.720 on the surface

00:12:27.420 because you can't tell.

00:12:29.420 All you know

00:12:29.860 is it came from some source

00:12:31.060 and it's a source

00:12:32.220 that's been wrong

00:12:32.840 a lot before.

00:12:34.280 Either people

00:12:35.540 on the internet

00:12:36.180 been wrong a lot

00:12:37.380 or the government

00:12:39.140 been wrong a lot.

00:12:41.880 So how in the world

00:12:42.660 are you convincing yourself

00:12:44.060 you're making

00:12:44.480 a data-driven decision?

00:12:46.460 You know you're not, right?

00:12:49.020 Don't you know that?

00:12:50.820 And if you try to

00:12:52.120 game the system,

00:12:53.920 like I said,

00:12:54.580 with,

00:12:55.080 oh, well,

00:12:55.540 I don't need the data

00:12:56.580 because I can just look

00:12:58.240 at the situation

00:12:59.040 and the players

00:13:00.000 and I can figure out

00:13:01.560 which are the credible players

00:13:02.840 and which are not

00:13:03.720 and sort of that's

00:13:04.960 that's how I'll make

00:13:05.840 my decision.

00:13:07.400 You can't do that.

00:13:09.660 You don't know

00:13:10.640 who's lying to you

00:13:11.740 because they're all

00:13:13.680 not trustworthy.

00:13:16.060 Everybody,

00:13:17.060 including me.

00:13:18.480 Do you trust me?

00:13:20.720 Should you?

00:13:23.160 Well,

00:13:23.860 what the hell

00:13:24.580 do I know

00:13:25.100 about medicine?

00:13:27.740 I wouldn't trust

00:13:28.420 me too much.

00:13:30.420 I mean,

00:13:30.760 here's the most

00:13:32.020 you should trust me.

00:13:32.880 This is the maximum

00:13:34.320 amount you should

00:13:35.020 trust me.

00:13:35.860 You should trust me

00:13:36.940 to be similar

00:13:37.660 to the way I have

00:13:38.520 been in the past.

00:13:40.680 Is that fair?

00:13:42.000 You should trust me

00:13:43.120 to be the same person

00:13:44.360 I was,

00:13:45.160 you know,

00:13:45.420 a year ago.

00:13:46.060 I haven't really

00:13:46.480 changed that much.

00:13:47.220 That's all you can trust.

00:13:49.020 Now,

00:13:49.280 if you said,

00:13:49.740 okay,

00:13:49.980 a year ago,

00:13:51.260 you said some things

00:13:52.280 that were surprisingly

00:13:53.420 good predictions,

00:13:54.900 but you also got

00:13:56.100 some notable things wrong.

00:13:58.680 Is that a fair statement?

00:13:59.800 Is that a fair characterization

00:14:01.960 of me?

00:14:03.960 That I had some

00:14:04.760 impressive predictions

00:14:05.980 in the last five years,

00:14:07.560 let's say,

00:14:08.260 but also got some

00:14:10.420 big stuff wrong,

00:14:11.640 like everybody did.

00:14:12.940 Is that a fair characterization?

00:14:16.300 So why would you

00:14:17.300 trust me?

00:14:19.980 How can you tell

00:14:21.300 that the next thing

00:14:23.000 I make a prediction

00:14:24.160 on is a good one?

00:14:25.000 If you could tell

00:14:27.960 which of my predictions

00:14:28.800 were good ones,

00:14:30.380 then you would be

00:14:31.120 good at predicting.

00:14:32.040 You wouldn't need me at all

00:14:33.040 if you could tell

00:14:34.700 the good ones

00:14:35.340 from the bad ones.

00:14:36.960 You can't.

00:14:38.540 Even I can't tell

00:14:39.300 the good ones

00:14:39.800 from the bad ones.

00:14:41.160 You know,

00:14:41.420 I have varying levels

00:14:42.860 of confidence,

00:14:43.760 but that's different

00:14:44.400 from knowing

00:14:44.920 what is likely

00:14:46.280 to be right.

00:14:47.800 So,

00:14:48.400 I think all of us

00:14:50.060 need to get

00:14:50.520 a little more humble

00:14:51.960 about how we're

00:14:53.860 making decisions.

00:14:55.000 Let me tell you

00:14:56.140 what I learned

00:14:56.680 on day one

00:14:57.460 in hypnosis class.

00:14:59.380 If there's anybody

00:15:00.040 on YouTube watching,

00:15:01.800 there might be

00:15:02.420 three people

00:15:02.940 who don't know

00:15:03.460 I'm a trained hypnotist.

00:15:05.560 But the first day

00:15:06.500 of hypnosis class,

00:15:07.640 decades ago,

00:15:09.200 the first thing you learn

00:15:10.080 is that people

00:15:10.560 don't use information

00:15:11.500 to make decisions.

00:15:13.560 And when you hear it,

00:15:14.380 you're like,

00:15:14.720 oh, I think

00:15:15.420 that's an exaggeration.

00:15:17.200 I mean,

00:15:18.120 yes,

00:15:18.540 some people,

00:15:19.540 some decisions,

00:15:20.340 yeah, I see what you mean.

00:15:21.480 But now you're

00:15:22.080 into outright hyperbole.

00:15:23.560 Because obviously

00:15:25.420 people do use data

00:15:27.280 to make decisions.

00:15:30.120 Nope.

00:15:32.100 Nope.

00:15:33.300 Never.

00:15:34.780 Never.

00:15:36.020 They just don't.

00:15:37.580 They don't use data

00:15:38.520 to make decisions.

00:15:39.440 It's just an illusion

00:15:40.640 that we do.

00:15:41.880 Now,

00:15:42.460 do we

00:15:43.140 make decisions

00:15:44.480 that are in the same

00:15:45.260 direction as the data

00:15:46.320 and then they work out well?

00:15:49.180 Yes, we do.

00:15:50.320 Yes, we do.

00:15:50.840 We also

00:15:52.260 look at the data

00:15:54.000 and misinterpret

00:15:55.100 and do things

00:15:56.780 and sometimes

00:15:57.280 that works out well too.

00:15:59.160 Because we not only

00:16:00.160 misinterpreted the problem,

00:16:02.040 but we misinterpreted

00:16:03.120 the answer.

00:16:03.940 And we got lucky.

00:16:05.580 And our misinterpreted problem

00:16:07.020 was solved

00:16:07.500 by our misinterpreted answer.

00:16:10.080 But mostly,

00:16:11.060 we're doing random stuff

00:16:12.200 or we're doing things

00:16:13.780 because other people

00:16:14.660 say we should do them

00:16:15.520 or we're,

00:16:16.340 you know,

00:16:17.060 we're afraid to buck

00:16:18.180 the other opinions

00:16:20.120 or something like that.

00:16:21.500 But does it have

00:16:22.120 anything to do

00:16:22.700 with the data?

00:16:25.000 We'd like to think so.

00:16:27.120 But trust the hypnotists.

00:16:30.380 Funniest story of the day

00:16:31.500 is Don Lemon

00:16:32.320 doubling down

00:16:33.300 and defending CNN's

00:16:35.480 characterization

00:16:36.920 of Joe Rogan's

00:16:38.920 COVID treatment

00:16:42.100 that included,

00:16:43.220 among other things,

00:16:44.080 ivermectin,

00:16:45.040 the humankind.

00:16:45.640 Yeah, yeah.

00:16:47.520 Has anybody heard

00:16:48.220 that before?

00:16:49.460 That ivermectin

00:16:50.320 comes in two forms?

00:16:51.920 One, the humankind,

00:16:53.700 developed first,

00:16:54.880 very important.

00:16:56.000 Later,

00:16:56.580 became also

00:16:57.200 a veterinarian

00:16:57.920 horse dewormer.

00:17:01.340 And Don Lemon

00:17:02.040 has Sanjay Gupta on

00:17:03.480 and he's doubling down

00:17:06.020 on CNN's lie.

00:17:07.520 Now, it's a lie

00:17:08.140 of omission.

00:17:10.240 Right?

00:17:10.800 Don Lemon tries

00:17:11.660 to go technical.

00:17:13.560 He's like,

00:17:13.980 it's not a lie

00:17:15.140 that ivermectin

00:17:16.120 is a horse warmer

00:17:17.200 and Sanjay,

00:17:19.740 to his everlasting

00:17:21.320 lack of credit,

00:17:23.520 agreed with that statement.

00:17:25.800 Sanjay,

00:17:26.660 I just embarrassed myself

00:17:28.380 by defending you yesterday.

00:17:30.440 You motherfucker.

00:17:32.180 I just defended you

00:17:33.540 in public yesterday

00:17:34.460 for being reasonable

00:17:36.180 in not defending CNN

00:17:38.320 for the dewormer stuff.

00:17:40.700 And then he goes

00:17:42.780 right on back

00:17:43.520 on CNN

00:17:44.120 and lets the lie

00:17:45.840 by omission

00:17:46.500 stand.

00:17:48.380 I mean,

00:17:48.740 seriously, Sanjay.

00:17:50.860 Mmm.

00:17:52.580 We do expect

00:17:53.720 a little more

00:17:54.240 out of you,

00:17:54.820 if I'm being honest,

00:17:56.040 because I know

00:17:56.620 you have more.

00:17:58.780 I will reiterate

00:18:00.240 that I don't think

00:18:02.100 Dr. Sanjay Gupta

00:18:03.500 is one of the bad guys.

00:18:05.280 I think he's one

00:18:06.040 of the good guys.

00:18:07.200 But he also

00:18:07.860 has a boss, right?

00:18:08.840 If you have a boss,

00:18:09.840 you're going to respond to it.

00:18:11.360 And I would advise

00:18:13.580 Sanjay Gupta

00:18:15.180 that he could push

00:18:16.660 a lot harder

00:18:17.360 on his bosses

00:18:18.500 and his co-workers

00:18:19.700 without real risk.

00:18:22.000 Because the only thing

00:18:22.980 I would ask him to say

00:18:24.060 is it could be misleading

00:18:27.280 to people

00:18:27.860 to not call this

00:18:29.400 a human drug first.

00:18:32.380 It's worth pointing out

00:18:33.600 if you'd like to

00:18:34.300 for context

00:18:35.020 that it's also

00:18:35.660 horse dewormer.

00:18:36.700 But that part

00:18:37.360 is not relevant.

00:18:38.840 What so ever

00:18:39.820 to Joe Rogan's decision

00:18:42.060 to take a human drug.

00:18:44.200 Now that would be

00:18:45.020 a good answer, right?

00:18:46.280 It would not

00:18:47.740 directly call CNN

00:18:49.020 liars.

00:18:50.340 But it would correct them

00:18:51.620 and say,

00:18:52.120 you know,

00:18:53.380 let's say the better context

00:18:55.560 is to start by saying

00:18:56.920 it's a human drug.

00:18:58.960 They can be

00:19:00.060 prescribed off-label.

00:19:02.620 Don't know

00:19:03.100 if it works or not.

00:19:04.900 The evidence

00:19:05.920 is not confirming

00:19:06.880 that it works.

00:19:08.820 But it's not unusual

00:19:10.340 for people

00:19:10.860 to take that kind

00:19:11.640 of risk

00:19:12.040 with such a

00:19:13.040 small chance

00:19:14.120 of side effects.

00:19:15.840 Now if Dr. Sanjay Gupta

00:19:17.160 said anything like that,

00:19:19.380 I'd say

00:19:20.060 that's a pretty good answer.

00:19:21.400 He's not really

00:19:22.040 calling CNN out

00:19:24.100 as liars,

00:19:25.500 but he's fixing

00:19:26.280 their context

00:19:27.020 for them.

00:19:27.540 Don't you think

00:19:29.500 he should do that?

00:19:30.180 I feel like

00:19:32.020 there's an ethical

00:19:32.980 lapse

00:19:33.600 in this story.

00:19:37.020 I mean,

00:19:37.360 just from,

00:19:37.900 it's subjective, right?

00:19:39.240 You know,

00:19:39.420 you can't,

00:19:40.040 it's not an objective thing.

00:19:41.560 But subjectively

00:19:42.480 it looks like

00:19:43.000 an ethical lapse.

00:19:45.040 Not a big one.

00:19:46.480 I mean,

00:19:46.900 it's smallish.

00:19:48.520 But I feel

00:19:49.240 if you're in the

00:19:49.980 medical field

00:19:51.200 that you shouldn't

00:19:53.040 have any of those.

00:19:54.320 And when you do,

00:19:55.660 you should quickly

00:19:56.520 circle back

00:19:57.160 to correct it.

00:19:58.220 Because obviously,

00:19:59.040 you know,

00:19:59.240 mistakes happen.

00:20:00.900 But,

00:20:01.800 so that would be

00:20:03.000 my ask

00:20:04.180 for Dr. Gupta.

00:20:06.160 If he had a chance

00:20:07.180 to circle back

00:20:08.040 and just put a little

00:20:09.520 context on that

00:20:10.400 for us.

00:20:11.300 It would just feel,

00:20:12.700 feel a little better.

00:20:16.260 All right.

00:20:17.180 But the fact

00:20:17.940 that Don Lemon

00:20:18.500 is trying to double down

00:20:19.500 on that live bio mission

00:20:21.000 is hilarious.

00:20:23.340 He's a broken man,

00:20:24.640 isn't he?

00:20:26.260 Don Lemon

00:20:26.820 looks broken.

00:20:28.360 I mean,

00:20:28.520 he's got,

00:20:28.840 he's dealing

00:20:29.700 with a pretty 0.99

00:20:30.120 serious

00:20:30.640 sexual harassment

00:20:32.980 allegation

00:20:33.740 from a man 0.83

00:20:35.620 who says

00:20:36.000 that he got

00:20:37.340 touched.

00:20:38.260 We don't know

00:20:38.900 if that's true.

00:20:40.020 Remember,

00:20:40.660 the context here

00:20:41.480 is we don't know

00:20:42.040 if anything's true.

00:20:43.320 It's just an allegation.

00:20:45.500 But he's having

00:20:46.360 a tough time

00:20:46.900 with this.

00:20:47.720 Don Lemon is.

00:20:49.480 I wish him well.

00:20:52.220 So,

00:20:52.800 here's a question

00:20:53.880 for you.

00:20:54.240 I tweeted

00:20:55.060 I tweeted

00:20:55.080 a thread

00:20:56.020 yesterday

00:20:56.560 in which

00:20:58.120 I

00:20:58.540 reframed

00:21:00.140 Trump's

00:21:00.840 challenging

00:21:01.360 of the 2020

00:21:02.260 election

00:21:02.780 and

00:21:04.680 it got

00:21:06.220 very few

00:21:06.920 retweets.

00:21:08.960 What's up

00:21:09.700 with that?

00:21:11.560 So,

00:21:13.020 keep in mind,

00:21:14.060 here's some context.

00:21:15.020 When most of you

00:21:15.720 were claiming,

00:21:16.420 I think,

00:21:17.360 Twitter is shadow

00:21:18.180 banning me

00:21:18.820 and your tweets

00:21:19.640 don't show up,

00:21:20.880 I was pretty much

00:21:22.000 on the side

00:21:22.540 of saying

00:21:22.980 that's probably

00:21:23.860 an illusion

00:21:24.480 based on the fact

00:21:26.140 that not all

00:21:28.300 tweets show up

00:21:29.120 and there are

00:21:30.000 reasons for it.

00:21:30.680 It might not be

00:21:31.320 a bad reason.

00:21:33.300 But,

00:21:33.980 I tweeted

00:21:35.420 something that

00:21:36.120 in any prior time

00:21:37.720 I think would

00:21:39.560 have been over

00:21:40.080 a thousand

00:21:40.600 retweets easily

00:21:41.640 just because

00:21:42.480 of the content.

00:21:43.440 I'm reasonably

00:21:44.080 good at guessing

00:21:44.740 which of my tweets

00:21:45.540 will get big

00:21:46.760 responses and

00:21:47.620 which won't.

00:21:48.980 I have a pretty

00:21:49.960 good track record

00:21:50.860 of it.

00:21:51.160 Because the ones

00:21:51.880 that go viral

00:21:52.600 have certain

00:21:53.120 qualities to them.

00:21:54.800 This one had

00:21:55.560 all the qualities

00:21:56.560 of a viral tweet

00:21:57.780 and it just sat

00:21:59.280 there and died.

00:22:00.540 When I checked

00:22:01.040 it was at

00:22:01.520 187

00:22:02.540 tweets,

00:22:05.080 retweets.

00:22:06.620 Tweets,

00:22:07.060 I guess.

00:22:07.820 What would you

00:22:08.360 call it?

00:22:08.620 I guess it would

00:22:08.960 be a retweet

00:22:09.440 because I'm

00:22:09.840 the original

00:22:10.240 author.

00:22:13.380 And I'll

00:22:14.620 tell you what

00:22:14.960 the thread was

00:22:15.440 about in a minute

00:22:15.920 but is this

00:22:17.920 an obvious

00:22:18.420 shadow ban?

00:22:19.800 Now,

00:22:20.260 the people who

00:22:20.740 said they

00:22:21.000 didn't get it,

00:22:21.760 remember,

00:22:22.240 you don't get

00:22:22.800 everybody's

00:22:23.420 everything.

00:22:24.500 That's normal.

00:22:25.660 Does everybody

00:22:26.080 know that?

00:22:26.940 It's normal

00:22:27.740 that you don't

00:22:29.460 get everybody's

00:22:30.340 every tweet.

00:22:32.620 You should know

00:22:33.360 that's normal.

00:22:33.880 I think there's

00:22:34.660 a setting

00:22:35.140 that allows you

00:22:36.880 to see them

00:22:38.900 all or see them

00:22:39.860 according to the

00:22:40.480 algorithm or

00:22:41.060 something,

00:22:41.420 right?

00:22:41.560 Now,

00:22:44.280 you're wondering

00:22:45.240 if it picked

00:22:45.900 up a keyword

00:22:46.480 the algorithm

00:22:47.140 did and

00:22:47.640 suppressed this.

00:22:48.840 I had 38

00:22:49.760 quote tweets.

00:22:52.160 Listen to this

00:22:52.760 ratio.

00:22:53.380 There were 187

00:22:54.240 tweets which

00:22:55.600 would suggest

00:22:56.260 a low amount

00:22:57.580 of interest

00:22:58.160 based on the

00:22:59.440 size of my

00:23:00.100 follower base.

00:23:00.760 So over

00:23:01.680 640,000 followers,

00:23:05.360 something like

00:23:05.900 that.

00:23:06.120 And for me

00:23:07.640 to only get

00:23:08.120 187 tweets

00:23:09.760 after a day

00:23:11.260 would be low.

00:23:13.680 So that would

00:23:14.020 be a low number

00:23:14.680 of tweets.

00:23:15.380 But 38

00:23:16.080 quote tweets,

00:23:17.200 that's a lot.

00:23:19.580 So it suggests

00:23:20.540 that the people

00:23:21.120 who did see it

00:23:21.980 were very

00:23:23.140 interested in

00:23:23.820 engaging with it.

00:23:25.240 But not many

00:23:25.880 people saw it.

00:23:27.900 So what is

00:23:29.220 the situation

00:23:29.780 in which many

00:23:30.460 people are

00:23:30.900 interested in

00:23:31.640 engaging and

00:23:32.480 yet many people

00:23:33.140 didn't engage?

00:23:34.500 How does that

00:23:35.020 happen?

00:23:36.120 Well, am I

00:23:37.260 reading too much

00:23:37.960 into the data?

00:23:40.460 Yeah, because

00:23:41.460 sometimes you do

00:23:42.120 get a lot of

00:23:42.600 quote tweets

00:23:43.240 relative to the

00:23:44.360 number of tweets.

00:23:45.420 So I check my

00:23:46.400 history to see

00:23:47.600 if that ever

00:23:48.120 happens.

00:23:48.560 And it does

00:23:48.880 happen in

00:23:49.800 situations where

00:23:50.680 just people have

00:23:52.220 a reason to

00:23:52.800 comment.

00:23:54.040 It doesn't

00:23:54.540 necessarily mean

00:23:55.700 something's up.

00:23:56.720 But it's a

00:23:57.580 flag.

00:23:58.880 Sort of a

00:23:59.580 flag.

00:24:00.020 You say,

00:24:00.220 maybe I should

00:24:01.780 look at this

00:24:02.560 a little more.

00:24:03.580 Now, would

00:24:04.200 you be surprised

00:24:04.980 if Trump

00:24:05.940 being banned

00:24:06.740 from Twitter

00:24:07.320 was not

00:24:08.380 also at

00:24:09.780 least suppressed

00:24:10.520 so that other

00:24:12.000 people don't

00:24:12.620 just tweet

00:24:13.440 his material

00:24:13.960 for him?

00:24:15.400 Because what

00:24:15.800 would Twitter

00:24:16.180 do if,

00:24:17.260 let's say,

00:24:18.240 let's say

00:24:19.980 somebody like

00:24:20.560 me,

00:24:21.580 just to make

00:24:23.160 it interesting,

00:24:24.080 let's say

00:24:24.340 somebody like

00:24:24.840 me makes a

00:24:26.120 deal with

00:24:26.540 Trump and

00:24:26.960 says, hey,

00:24:27.620 I'll retweet

00:24:28.560 everything you

00:24:29.180 want me to

00:24:29.580 tweet.

00:24:30.460 It'll just

00:24:31.040 come from my

00:24:31.560 account.

00:24:31.940 You can

00:24:33.240 tell that

00:24:33.640 it's from

00:24:34.000 you,

00:24:34.920 but I'll

00:24:35.520 just be

00:24:35.800 your official

00:24:36.340 retweeter.

00:24:37.920 Now, what

00:24:38.200 would happen?

00:24:39.020 Wouldn't

00:24:39.400 Twitter shut

00:24:39.940 you down?

00:24:41.240 I mean, they

00:24:41.620 should, right?

00:24:42.360 It makes

00:24:42.760 sense.

00:24:43.140 If they're

00:24:43.380 going to ban

00:24:43.800 the author,

00:24:46.780 which would

00:24:47.100 be Trump,

00:24:48.800 wouldn't they

00:24:49.440 necessarily need

00:24:50.360 to ban

00:24:50.840 anybody who

00:24:51.480 was just

00:24:51.800 going to

00:24:52.040 retweet

00:24:52.380 everything he

00:24:52.900 said?

00:24:53.800 Now, there

00:24:54.360 are people

00:24:54.760 who retweet

00:24:55.400 everything he

00:24:56.540 said, but

00:24:57.800 they tend to

00:24:58.180 be smaller

00:24:58.680 accounts, and

00:24:59.440 they haven't

00:24:59.740 really been

00:25:00.120 picked up

00:25:00.720 as the

00:25:01.880 way to

00:25:02.400 follow him.

00:25:03.420 If he

00:25:04.020 actually gets

00:25:04.920 in the race,

00:25:06.520 I think

00:25:06.880 those, let's

00:25:08.160 call them,

00:25:08.820 what would

00:25:09.120 you call

00:25:09.280 them, mirror

00:25:09.740 accounts, or

00:25:11.480 retweeter

00:25:12.140 accounts, or

00:25:12.720 something, I

00:25:13.440 think there

00:25:13.740 will be a

00:25:14.040 number of

00:25:14.400 them, so

00:25:15.420 you'll be

00:25:15.780 able to

00:25:16.040 follow Trump.

00:25:17.300 You'll just

00:25:17.720 be following

00:25:18.240 the mirror,

00:25:20.280 people being

00:25:21.260 a mirror.

00:25:22.340 Now, will

00:25:22.700 all those

00:25:23.080 people be

00:25:23.520 banned?

00:25:25.340 They should,

00:25:26.240 right?

00:25:27.020 I mean, should,

00:25:28.440 based on the

00:25:29.220 consistency of

00:25:30.260 the guidelines,

00:25:31.920 I would

00:25:32.220 think.

00:25:32.940 It's the

00:25:33.340 same content,

00:25:34.180 so why

00:25:34.480 wouldn't you

00:25:34.800 ban it?

00:25:36.240 I don't

00:25:36.760 know.

00:25:37.000 I don't

00:25:37.300 know if

00:25:37.540 they would

00:25:37.800 treat it

00:25:38.080 that way,

00:25:38.560 but logically

00:25:39.320 you would

00:25:39.780 imagine they

00:25:40.240 might.

00:25:41.000 So here's

00:25:41.460 my question.

00:25:42.360 If Trump

00:25:42.900 himself is

00:25:43.560 banned, why

00:25:44.600 wouldn't

00:25:45.700 Twitter also

00:25:46.640 suppress topics

00:25:48.400 that are

00:25:48.820 favorable to

00:25:49.560 him?

00:25:50.560 I feel like

00:25:51.140 that just

00:25:51.520 makes sense,

00:25:52.760 right?

00:25:53.560 Less Trump

00:25:54.200 is less

00:25:54.580 Trump.

00:25:55.300 They either

00:25:55.740 wanted more

00:25:56.260 of him or

00:25:56.660 less of him,

00:25:57.200 and they

00:25:57.420 decided to

00:25:58.140 have less

00:25:58.480 of him.

00:25:59.220 So let

00:26:00.740 me tell

00:26:00.980 you what

00:26:01.240 I tweeted,

00:26:02.520 and I

00:26:03.380 need your

00:26:03.740 help here,

00:26:04.400 okay?

00:26:05.200 I'm asking

00:26:06.100 for your

00:26:06.740 help.

00:26:07.820 I have a

00:26:08.780 bias here

00:26:09.420 that's pretty

00:26:10.320 obvious,

00:26:11.100 because I

00:26:11.420 think my

00:26:11.820 tweet was

00:26:12.220 good,

00:26:13.000 but I'm

00:26:13.800 operating from

00:26:14.420 deep bias.

00:26:16.000 You have

00:26:16.700 less bias

00:26:17.340 relative to

00:26:18.020 me on this

00:26:18.660 topic.

00:26:19.320 I want to

00:26:19.660 see if you

00:26:20.920 can call out

00:26:21.540 my bias on

00:26:22.320 this.

00:26:23.320 Am I

00:26:23.720 wrong?

00:26:25.260 All right,

00:26:25.480 let me tell

00:26:26.060 you what the

00:26:26.360 point is.

00:26:26.760 So the

00:26:27.820 point of

00:26:28.120 the

00:26:28.220 thread was

00:26:28.580 this,

00:26:29.420 that most

00:26:30.180 people think

00:26:30.720 Trump is

00:26:31.240 making a

00:26:31.700 terrible

00:26:32.020 mistake in

00:26:33.700 continuing to

00:26:34.760 hammer on

00:26:38.920 the 2020

00:26:40.000 election,

00:26:40.820 and also to

00:26:41.680 continue to

00:26:42.260 claim that

00:26:42.820 there was

00:26:43.100 massive fraud

00:26:43.880 and that

00:26:44.260 it's all

00:26:44.600 been documented.

00:26:47.220 Now,

00:26:48.380 number one,

00:26:49.140 how many of

00:26:49.600 you think

00:26:50.000 that's a

00:26:50.620 bad strategy?

00:26:52.140 Or up

00:26:52.620 until my

00:26:53.440 tweet,

00:26:53.800 how many of

00:26:54.560 you thought

00:26:54.860 that was

00:26:55.100 a bad

00:26:55.560 strategy to

00:26:56.920 just keep

00:26:57.440 hammering on

00:26:58.120 that 2020

00:26:59.200 election?

00:27:01.180 All right?

00:27:02.060 Forget about

00:27:02.760 whether he's

00:27:03.180 right.

00:27:04.080 We're not

00:27:04.680 talking about

00:27:05.120 right or

00:27:05.440 wrong.

00:27:05.740 We're only

00:27:05.980 talking about

00:27:06.320 strategy.

00:27:08.320 All right,

00:27:08.540 so a lot of

00:27:09.040 people saying

00:27:09.880 they think

00:27:11.340 it's a bad

00:27:11.820 strategy.

00:27:13.580 All right,

00:27:14.100 so here's my

00:27:14.920 argument for

00:27:15.520 why it's a

00:27:15.980 good strategy.

00:27:18.260 You ready?

00:27:20.280 Do you think

00:27:20.960 I can convince

00:27:21.580 you it's a

00:27:22.020 good strategy?

00:27:23.580 How many

00:27:23.900 think I can

00:27:24.440 do that?

00:27:24.860 Here's the

00:27:27.400 argument,

00:27:27.880 and it goes

00:27:28.260 like this.

00:27:30.040 What are

00:27:30.280 the odds

00:27:30.840 that at

00:27:32.140 least one

00:27:32.760 precinct

00:27:33.380 somewhere in

00:27:34.520 all the

00:27:34.940 precincts

00:27:35.840 can be

00:27:36.580 found that

00:27:37.180 was clearly

00:27:37.720 fraud?

00:27:39.980 Now,

00:27:40.580 we're not

00:27:41.100 looking at

00:27:41.540 every precinct,

00:27:42.720 so that

00:27:43.040 doesn't mean

00:27:43.420 we'll find

00:27:43.820 it,

00:27:44.240 but it's

00:27:44.560 a big

00:27:44.800 country.

00:27:46.220 What are

00:27:46.560 the odds

00:27:46.920 that there's

00:27:47.320 no precincts

00:27:48.800 which flip

00:27:49.700 from Biden

00:27:50.540 to Trump?

00:27:51.380 Now,

00:27:51.540 remember,

00:27:51.860 a precinct

00:27:52.240 is not a

00:27:52.760 state,

00:27:54.000 and a

00:27:54.280 precinct is

00:27:54.840 not a

00:27:55.140 county.

00:27:56.140 Precinct would 0.95

00:27:56.660 be the

00:27:57.220 smallest unit.

00:27:59.720 In any

00:28:00.400 large,

00:28:01.040 complex

00:28:01.400 system,

00:28:02.580 is there

00:28:03.980 fraud?

00:28:05.480 Let's take

00:28:06.100 the stock

00:28:06.540 market.

00:28:07.720 The stock

00:28:08.340 market is

00:28:08.980 policed

00:28:09.580 pretty carefully.

00:28:12.020 The stock

00:28:12.500 market is

00:28:12.860 also a big

00:28:13.660 thing with

00:28:15.060 lots of

00:28:15.380 people involved.

00:28:17.020 Is there

00:28:17.560 always fraud

00:28:19.200 in the stock

00:28:19.840 market?

00:28:21.160 Yes.

00:28:21.800 Yes.

00:28:22.080 The odds

00:28:22.480 of finding

00:28:22.920 fraud in

00:28:24.180 the stock

00:28:24.580 market,

00:28:25.040 let's say,

00:28:25.420 next year,

00:28:26.660 specific

00:28:27.100 examples are

00:28:27.980 100%.

00:28:28.640 Does everybody

00:28:29.640 agree it's

00:28:30.000 100%?

00:28:31.400 That if you

00:28:32.480 look for

00:28:32.880 fraud,

00:28:33.540 some,

00:28:33.960 just any

00:28:34.400 example of

00:28:35.020 fraud in

00:28:35.420 the stock

00:28:35.820 market,

00:28:37.240 next year,

00:28:38.880 100% chance

00:28:39.740 you would

00:28:39.940 find it.

00:28:41.520 Yes,

00:28:42.000 right?

00:28:42.200 It's just

00:28:42.460 obvious.

00:28:43.340 Now,

00:28:43.620 let's take a

00:28:44.200 big pharmaceutical

00:28:44.840 company.

00:28:45.640 Pick any one.

00:28:47.120 They've got

00:28:47.400 lots of

00:28:47.840 products,

00:28:48.480 lots of

00:28:48.820 trials,

00:28:49.240 lots of

00:28:49.760 things.

00:28:50.440 Do you

00:28:50.700 think that

00:28:51.780 in any

00:28:52.060 big pharma

00:28:52.640 company,

00:28:53.100 even one

00:28:53.560 that you

00:28:53.820 respect,

00:28:55.440 do you

00:28:55.680 think that

00:28:56.040 if you

00:28:56.380 could somehow

00:28:56.980 look at

00:28:57.340 all the

00:28:57.740 things they're

00:28:58.180 doing,

00:28:59.140 like all

00:28:59.620 the employee

00:29:00.160 decisions,

00:29:01.060 the studies

00:29:01.720 and everything,

00:29:02.540 do you

00:29:02.740 think you

00:29:03.020 would find

00:29:03.340 any

00:29:03.620 corruption

00:29:04.060 in a

00:29:05.340 big

00:29:06.140 pharmaceutical

00:29:07.100 company?

00:29:08.100 Just one

00:29:08.680 person doing

00:29:09.280 one corrupt

00:29:09.780 thing,

00:29:10.100 do you

00:29:10.260 think?

00:29:11.060 Yes.

00:29:11.840 And what

00:29:12.180 are the

00:29:12.380 odds you

00:29:12.740 would find

00:29:13.080 it?

00:29:13.620 What are

00:29:13.840 the odds?

00:29:16.080 100%.

00:29:16.520 I mean,

00:29:17.760 if you

00:29:17.980 had the

00:29:18.240 ability to

00:29:18.800 look for

00:29:19.240 it,

00:29:19.660 you don't

00:29:20.000 always have

00:29:20.320 the ability

00:29:20.740 to look

00:29:21.160 for it,

00:29:21.780 but if

00:29:22.180 you could,

00:29:23.720 it would

00:29:24.020 be 100%.

00:29:24.880 You don't

00:29:25.580 know how

00:29:25.800 big it

00:29:26.080 is.

00:29:26.720 I'm not

00:29:27.040 saying it

00:29:27.380 was big

00:29:27.700 enough to

00:29:28.320 recall a

00:29:29.680 drug or

00:29:30.060 anything like

00:29:30.460 that,

00:29:31.320 but yeah,

00:29:31.820 100%.

00:29:32.640 how about

00:29:34.800 the government?

00:29:36.580 Let's

00:29:36.860 take Congress.

00:29:38.020 Congress is

00:29:38.620 a pretty

00:29:38.900 big body

00:29:39.520 of people.

00:29:40.740 What are

00:29:40.960 the odds

00:29:41.440 that there's

00:29:42.560 not one

00:29:43.440 person in

00:29:43.980 Congress

00:29:44.420 who's

00:29:45.320 somewhat

00:29:45.960 explicitly

00:29:46.580 taking a

00:29:47.300 bribe?

00:29:49.180 Zero,

00:29:50.200 right?

00:29:51.840 Even if

00:29:52.680 you believe

00:29:53.100 Congress is

00:29:53.740 mostly pretty

00:29:55.180 honest,

00:29:55.920 because we're

00:29:56.340 watching them

00:29:56.880 pretty closely,

00:29:57.420 what are

00:29:59.040 the odds

00:29:59.340 that at

00:29:59.740 least one

00:30:00.320 person is

00:30:02.280 doing something

00:30:02.920 that's close

00:30:03.740 to,

00:30:04.060 maybe it's

00:30:04.400 legal,

00:30:05.240 but in

00:30:05.680 effect it's

00:30:06.280 a bribe,

00:30:07.040 something unethical?

00:30:08.640 What are

00:30:09.080 the odds

00:30:09.300 that at

00:30:09.480 least one

00:30:09.980 congressman

00:30:10.620 will do

00:30:11.060 that next

00:30:11.580 year?

00:30:12.320 It's 100%.

00:30:13.300 It's 100%.

00:30:15.480 Now let's

00:30:16.360 get back to

00:30:16.800 the election.

00:30:18.120 So the

00:30:18.360 election is

00:30:19.100 thousands and

00:30:20.260 thousands of

00:30:20.820 people operating

00:30:22.260 semi-independently

00:30:23.600 all over the

00:30:24.320 country.

00:30:25.140 Every precinct

00:30:25.940 is managed

00:30:26.540 in its own

00:30:27.120 way,

00:30:27.420 with its

00:30:27.760 own people.

00:30:29.080 A vast

00:30:29.960 process.

00:30:31.800 What are

00:30:32.020 the odds

00:30:32.520 that one

00:30:33.780 of those

00:30:34.180 precincts

00:30:35.620 cheated in

00:30:36.500 a way that

00:30:37.060 flipped it

00:30:38.180 from,

00:30:38.460 and intentionally

00:30:39.040 cheated,

00:30:39.820 from the way

00:30:40.240 that flipped

00:30:40.620 it from

00:30:40.920 Biden to

00:30:41.440 Trump?

00:30:41.800 Just one

00:30:42.180 of them.

00:30:43.160 How many

00:30:44.360 precincts

00:30:44.860 are there?

00:30:45.440 Somebody

00:30:45.880 give me a

00:30:46.260 fact check.

00:30:47.160 How many

00:30:47.560 precincts

00:30:48.100 are there

00:30:48.360 in the

00:30:48.540 country?

00:30:48.900 Just Google

00:30:49.340 that and

00:30:49.660 put it in

00:30:49.940 the comments

00:30:50.320 for a

00:30:50.580 second.

00:30:51.460 Yeah,

00:30:51.740 100%.

00:30:52.520 Now look

00:30:54.360 at Trump's

00:30:55.120 bet.

00:30:55.560 does Trump

00:30:57.520 need to

00:30:58.140 prove to

00:30:58.560 you that

00:31:00.380 enough votes

00:31:01.540 were flipped

00:31:02.180 to change

00:31:04.220 the election

00:31:04.760 result?

00:31:05.660 Does Trump

00:31:06.380 need to

00:31:06.960 prove to

00:31:07.340 you in

00:31:08.540 court that

00:31:09.900 there were

00:31:10.180 enough votes

00:31:10.980 flipped to

00:31:12.520 change the

00:31:13.080 election?

00:31:13.900 He does

00:31:14.300 not.

00:31:14.700 because you

00:31:16.760 know why?

00:31:18.340 You all

00:31:19.240 operate on

00:31:20.020 anecdotes.

00:31:21.820 You need

00:31:22.720 one good

00:31:23.620 example that

00:31:24.560 you believe

00:31:25.080 for sure.

00:31:26.820 Arizona is

00:31:27.580 kind of

00:31:27.860 sketchy,

00:31:28.320 isn't it?

00:31:28.720 Because even

00:31:29.140 the people

00:31:29.540 who ordered

00:31:29.980 it said,

00:31:30.440 you know,

00:31:32.240 maybe we're

00:31:34.460 a little

00:31:34.820 uncomfortable,

00:31:36.460 but we

00:31:38.300 can't say

00:31:38.840 for sure

00:31:39.780 it was

00:31:41.020 rigged.

00:31:41.540 But what

00:31:42.400 if you

00:31:42.600 had one

00:31:43.040 precinct

00:31:43.580 where the

00:31:44.780 question was

00:31:45.460 asked and

00:31:45.980 answered and

00:31:46.560 everybody knew

00:31:47.220 it was

00:31:47.420 rigged?

00:31:48.240 Even the

00:31:48.760 Democrats said,

00:31:49.640 oh, okay,

00:31:50.200 that one's

00:31:50.540 rigged.

00:31:51.280 But it's

00:31:51.880 small.

00:31:52.280 It's small.

00:31:53.060 It's just

00:31:53.360 one precinct.

00:31:54.540 Nobody's

00:31:55.020 proving that

00:31:55.580 the election

00:31:56.080 was rigged.

00:31:56.820 Just one

00:31:57.260 precinct.

00:31:59.280 If Trump

00:32:00.180 gets one

00:32:01.180 precinct that

00:32:03.420 even Democrats

00:32:04.380 can see was

00:32:05.360 clearly fraud,

00:32:07.660 he's your

00:32:08.340 next president.

00:32:09.000 because how

00:32:10.900 does January

00:32:11.440 6th look

00:32:12.520 if he can

00:32:14.260 find one

00:32:15.100 precinct,

00:32:16.140 just one,

00:32:17.160 that there

00:32:18.040 was fraud?

00:32:19.700 Suddenly,

00:32:20.400 January 6th

00:32:21.120 looks really

00:32:21.580 different,

00:32:22.000 doesn't it?

00:32:23.060 Now, it

00:32:23.900 doesn't make

00:32:24.420 any of the

00:32:24.840 crimes go

00:32:25.440 away, right?

00:32:26.360 Anybody who

00:32:27.060 engaged in

00:32:27.780 violence will

00:32:29.220 pay a price,

00:32:29.920 and I'm

00:32:30.740 happy about

00:32:31.320 that.

00:32:32.520 But your

00:32:33.900 overall feeling

00:32:35.280 of how

00:32:36.540 inappropriate

00:32:37.260 Trump was

00:32:38.600 will very

00:32:39.740 much be

00:32:40.280 modified if

00:32:41.680 we find

00:32:42.200 one solid

00:32:43.140 example.

00:32:44.840 So Trump

00:32:45.680 is making

00:32:46.140 a bet that

00:32:47.740 he has a

00:32:48.080 good chance

00:32:48.440 of losing,

00:32:49.780 because maybe

00:32:50.300 we won't

00:32:50.740 find one

00:32:51.300 precinct with

00:32:51.900 that problem.

00:32:53.020 But he's

00:32:54.680 only one

00:32:55.320 precinct away

00:32:56.240 from being

00:32:57.140 the next

00:32:57.540 president.

00:32:59.120 Nothing else

00:32:59.880 could keep

00:33:00.280 him out of

00:33:00.600 the office,

00:33:01.540 I don't

00:33:02.060 think.

00:33:02.560 I don't

00:33:03.100 think there's

00:33:03.440 anything else

00:33:04.000 that could 0.68

00:33:04.300 keep him

00:33:04.640 out of

00:33:04.900 office.

00:33:05.680 And because

00:33:06.020 he's so

00:33:06.440 far into it

00:33:07.040 at this

00:33:07.340 point,

00:33:07.620 January 6th,

00:33:09.460 etc., he's

00:33:10.580 so far

00:33:11.460 invested, he

00:33:12.180 kind of has

00:33:12.920 to ride this

00:33:13.720 horse all

00:33:14.200 the way.

00:33:15.300 If he

00:33:15.860 suddenly changed

00:33:16.700 opinion and

00:33:17.480 said, you

00:33:17.720 know, I'll

00:33:18.660 let this

00:33:19.040 election go,

00:33:20.920 his base

00:33:22.020 would rebel.

00:33:23.760 He would

00:33:24.340 lose his

00:33:24.840 base if he

00:33:25.500 let go of

00:33:26.020 it.

00:33:26.200 So, you

00:33:26.460 know, let's

00:33:27.300 let it go.

00:33:27.820 We'll just

00:33:28.100 play another

00:33:29.440 day.

00:33:30.500 He'd lose

00:33:31.100 his base.

00:33:32.260 So he

00:33:32.800 wants to

00:33:33.120 keep his

00:33:33.460 base, and

00:33:34.680 he's placed

00:33:35.540 a bet,

00:33:36.080 that they

00:33:38.380 can find

00:33:38.840 one example

00:33:40.320 he can

00:33:40.680 sell.

00:33:41.100 He only

00:33:41.460 needs one.

00:33:42.720 If he

00:33:43.140 can sell

00:33:43.560 one, he's

00:33:45.040 the next

00:33:45.420 president.

00:33:46.800 Now, here's

00:33:48.300 my question

00:33:48.760 I'm asking

00:33:49.200 you.

00:33:50.500 Is that

00:33:51.240 point of

00:33:52.060 view, whether

00:33:52.540 you agree

00:33:52.920 with it or

00:33:53.240 not, we're

00:33:53.660 not talking

00:33:54.180 about whether

00:33:54.600 you agree

00:33:55.000 with it,

00:33:55.980 is that the

00:33:56.580 kind of

00:33:57.020 tweet that

00:33:58.920 you would

00:33:59.200 expect to

00:33:59.740 see get

00:34:00.180 a thousand

00:34:00.600 retweets?

00:34:01.920 Am I wrong

00:34:02.620 about that?

00:34:03.040 So just

00:34:03.980 check my

00:34:05.140 viral tweet

00:34:07.460 assumption.

00:34:08.200 Now, remember,

00:34:08.860 threads always

00:34:09.500 get more

00:34:10.160 attention than

00:34:11.360 tweets.

00:34:12.340 So it's part

00:34:12.800 of a thread.

00:34:13.480 Factor that

00:34:13.960 in.

00:34:14.760 Trump stuff

00:34:15.540 always gets

00:34:16.040 more attention

00:34:16.660 than non-Trump

00:34:17.340 stuff.

00:34:18.000 Factor that

00:34:18.500 in.

00:34:19.500 I'm known

00:34:20.280 to say this

00:34:21.120 kind of

00:34:21.480 message.

00:34:22.400 So when

00:34:22.780 the tweeter

00:34:23.420 is talking

00:34:24.000 about their

00:34:24.480 topic of

00:34:25.680 expertise,

00:34:26.780 or something

00:34:27.440 they're known

00:34:27.900 for, they

00:34:29.780 get more

00:34:30.080 attention.

00:34:30.780 When Monica 0.99

00:34:31.440 Lewinsky

00:34:31.820 talks about

00:34:32.520 Bill Clinton,

00:34:33.640 she gets

00:34:33.960 more retweets

00:34:34.640 than if she

00:34:35.100 talks about

00:34:35.600 purses.

00:34:37.380 So the

00:34:38.180 things which

00:34:39.880 make a

00:34:40.340 tweet get

00:34:41.320 a thousand

00:34:41.720 retweets,

00:34:42.680 I feel are

00:34:43.680 all in this

00:34:44.500 tweet thread.

00:34:46.720 But it

00:34:47.360 didn't.

00:34:49.880 Now,

00:34:50.460 again,

00:34:51.400 since most

00:34:52.080 of the

00:34:52.340 theme of

00:34:52.780 what I've

00:34:53.080 talked about

00:34:53.460 today is

00:34:53.860 don't make

00:34:54.260 too much

00:34:54.660 from

00:34:54.880 anecdotal

00:34:55.520 evidence,

00:34:56.960 aren't I

00:34:57.580 judging whether

00:34:58.700 this got

00:34:59.240 shadow banned

00:35:00.080 based on

00:35:00.680 anecdotal

00:35:01.280 evidence?

00:35:02.820 Okay,

00:35:03.480 yes.

00:35:05.480 Yes,

00:35:05.940 I am.

00:35:06.440 That's why

00:35:06.780 I'm asking

00:35:07.340 instead of

00:35:07.900 stating.

00:35:08.980 I just

00:35:09.180 want to

00:35:09.420 get a

00:35:09.640 second opinion

00:35:10.180 on this.

00:35:10.560 Just see if

00:35:10.920 you feel

00:35:11.340 the same

00:35:11.700 way about

00:35:12.080 it.

00:35:12.660 We won't

00:35:13.140 be able

00:35:13.360 to confirm

00:35:13.800 anything.

00:35:20.740 Should put

00:35:21.360 down a

00:35:21.720 rhino black

00:35:22.480 list.

00:35:22.900 You know,

00:35:23.120 I don't

00:35:23.340 care about

00:35:23.680 that rhino

00:35:24.180 stuff.

00:35:25.600 The whole

00:35:26.460 Republican

00:35:27.520 and name

00:35:28.080 only thing,

00:35:29.440 I don't

00:35:30.020 have any

00:35:30.520 interest in

00:35:31.400 that as

00:35:32.160 a way

00:35:32.820 to frame

00:35:33.180 things.

00:35:34.860 Things are

00:35:35.340 either good

00:35:35.700 ideas or

00:35:36.220 they're not.

00:35:37.440 How you

00:35:37.980 decide to

00:35:38.960 label yourself

00:35:40.500 or other

00:35:42.060 people,

00:35:42.780 I don't

00:35:43.140 care.

00:35:44.080 I'm going

00:35:44.560 to look at

00:35:44.860 the topic.

00:35:45.940 If the

00:35:46.300 topic's good,

00:35:47.560 I might

00:35:47.940 support it.

00:35:49.340 But I

00:35:49.960 don't care if

00:35:50.480 somebody is

00:35:51.160 relabeling

00:35:51.820 their friends.

00:35:53.340 Oh,

00:35:53.680 you're a

00:35:54.060 rhino,

00:35:54.440 you're not

00:35:54.760 a rhino.

00:35:55.640 That does

00:35:56.240 nothing for

00:35:56.700 me.

00:36:00.580 All right.

00:36:03.700 Let's see

00:36:04.180 what else

00:36:04.460 we've got

00:36:04.720 going on

00:36:05.160 here.

00:36:06.080 Nothing.

00:36:07.760 Nothing at

00:36:08.440 all.

00:36:09.740 All right.

00:36:10.960 Yeah.

00:36:11.860 Let's go

00:36:12.420 Brandon.

00:36:15.960 All right.

00:36:16.580 Am I

00:36:16.840 missing any

00:36:17.260 big stories?

00:36:17.860 U.S.

00:36:22.100 intelligence

00:36:22.580 caught flat

00:36:23.320 footed again

00:36:23.900 by China?

00:36:24.640 In what

00:36:25.060 context did

00:36:26.460 the U.S.

00:36:26.940 intelligence

00:36:27.320 get flat

00:36:27.880 footed?

00:36:29.140 China

00:36:29.660 weapon?

00:36:31.080 Hypersonic

00:36:31.720 weapon?

00:36:33.620 Oh, is

00:36:34.360 there some

00:36:34.640 kind of

00:36:35.240 China has 0.91

00:36:36.620 a hypersonic

00:36:37.400 missile?

00:36:40.620 Right.

00:36:42.280 You know,

00:36:42.840 the one thing

00:36:43.320 that I worry

00:36:43.920 the least

00:36:44.480 about is

00:36:45.180 China launching

00:36:46.520 a preemptive

00:36:47.440 nuclear attack.

00:36:49.420 There's

00:36:49.740 probably

00:36:50.100 nothing that

00:36:50.960 I think

00:36:52.640 less about

00:36:53.360 than China

00:36:54.380 launching a

00:36:55.620 preemptive

00:36:56.160 attack.

00:36:56.880 Because China's 0.96

00:36:57.760 game is

00:36:58.160 wait.

00:36:59.300 They just

00:36:59.740 wait.

00:37:00.860 You know,

00:37:01.060 they can

00:37:01.260 wait a few

00:37:01.660 hundred years

00:37:02.120 and dominate

00:37:02.840 the world.

00:37:03.940 It looks

00:37:04.180 like it's

00:37:04.460 going that

00:37:04.820 way.

00:37:07.740 Never talk

00:37:08.560 about, oh,

00:37:09.460 yeah,

00:37:09.700 Katie Couric.

00:37:10.820 So there's

00:37:11.220 a story about

00:37:11.720 Katie Couric

00:37:12.460 who edited

00:37:14.060 a Ruth Bader

00:37:15.080 Ginsburg

00:37:15.460 interview.

00:37:16.200 to make

00:37:18.500 Ruth Bader

00:37:19.680 Ginsburg

00:37:20.020 look better.

00:37:22.920 What was

00:37:23.540 the topic?

00:37:26.000 Ginsburg

00:37:26.400 said, oh,

00:37:27.780 voter registration?

00:37:29.380 Was it

00:37:29.740 voter registration

00:37:30.580 that she was,

00:37:31.380 oh, kneeling?

00:37:32.760 Yeah.

00:37:33.200 Ruth Bader

00:37:33.840 Ginsburg said

00:37:34.600 something that

00:37:35.320 the kneelers

00:37:36.080 were kind of

00:37:37.340 spitting in the

00:37:37.900 face of the

00:37:38.380 country that,

00:37:39.020 you know,

00:37:39.360 made their

00:37:39.720 family successful.

00:37:41.680 And then

00:37:42.360 Katie Couric

00:37:42.860 decided that

00:37:43.480 that would

00:37:43.780 make Ruth Bader 1.00

00:37:44.540 Ginsburg look

00:37:45.260 bad, so

00:37:45.700 she took

00:37:46.100 it out.

00:37:48.780 Now, the

00:37:49.480 reason I

00:37:49.860 didn't comment

00:37:50.360 on that

00:37:50.800 story is

00:37:51.440 that the

00:37:51.780 whole story

00:37:52.360 is in the

00:37:52.820 story.

00:37:54.360 Usually I

00:37:54.940 like to talk

00:37:55.400 about things

00:37:55.880 where I

00:37:56.980 can add a

00:37:57.800 reframe of

00:37:58.800 it or a

00:37:59.520 different point

00:37:59.940 of view or

00:38:00.320 something.

00:38:01.220 But the

00:38:01.880 Katie Couric

00:38:02.360 story, it's

00:38:02.920 all there.

00:38:05.220 She edited

00:38:06.040 a story to

00:38:08.120 create what

00:38:09.400 you might

00:38:09.860 call fake

00:38:10.380 news, but

00:38:11.760 I mean, it

00:38:12.120 was misleading

00:38:12.720 because she

00:38:13.240 edited it.

00:38:14.640 And that's

00:38:17.840 the whole

00:38:18.060 story.

00:38:19.140 So if you

00:38:19.840 want to see

00:38:20.320 another example

00:38:21.040 of the media

00:38:21.700 being something

00:38:22.960 you can't

00:38:23.480 trust, well,

00:38:24.260 there's one

00:38:24.580 for you.

00:38:27.100 Is that

00:38:27.700 unusual?

00:38:28.640 I don't

00:38:28.940 know.

00:38:29.960 I can tell

00:38:30.680 you that I've

00:38:31.360 been edited

00:38:31.920 to look

00:38:32.720 smarter.

00:38:36.120 I told

00:38:36.800 you, I

00:38:37.380 think I

00:38:37.640 mentioned

00:38:37.900 that the

00:38:38.480 Playboy

00:38:39.720 interview was

00:38:41.500 one of the

00:38:41.920 most professional

00:38:42.840 best interviews

00:38:44.120 I've ever been

00:38:44.880 involved in.

00:38:45.560 They did a lot

00:38:46.060 of fact-checking,

00:38:46.880 et cetera.

00:38:47.560 Now, the

00:38:47.840 Playboy

00:38:48.200 interview, they

00:38:49.600 do edit it to

00:38:50.540 make you look

00:38:51.020 good.

00:38:53.160 But what I

00:38:53.840 mean by that

00:38:54.420 is if you

00:38:55.640 say a sentence

00:38:56.420 that's kind

00:38:57.020 of clunky,

00:38:58.420 they will

00:38:58.880 re-edit your

00:38:59.520 sentence as

00:39:00.360 if you spoke

00:39:01.040 it perfectly

00:39:01.620 the first time.

00:39:03.220 Now, I

00:39:03.680 don't mind

00:39:04.100 that because

00:39:05.080 what they're

00:39:05.480 doing is just

00:39:06.040 clarifying what

00:39:06.780 you really

00:39:07.140 said.

00:39:08.060 They're just

00:39:08.420 doing a better

00:39:08.880 job of saying

00:39:09.500 it than you

00:39:09.960 said it.

00:39:10.300 So if they

00:39:11.000 fix your

00:39:11.460 words and

00:39:12.120 get rid of

00:39:12.800 a verbal

00:39:14.200 tick, say

00:39:16.280 for example

00:39:16.800 that I

00:39:17.840 use the

00:39:18.260 word like.

00:39:19.820 So let's

00:39:20.460 say they

00:39:20.920 ask me a

00:39:21.280 question, I

00:39:21.660 go, well

00:39:22.440 like, that's

00:39:23.360 like this or

00:39:25.600 that.

00:39:26.460 They might

00:39:26.860 get rid of

00:39:27.360 the word

00:39:27.640 like because

00:39:28.940 it didn't

00:39:29.200 add anything

00:39:29.820 and it just

00:39:30.180 makes me look

00:39:30.700 like an

00:39:31.040 idiot when I

00:39:31.580 talk that

00:39:31.960 way.

00:39:33.080 But the

00:39:33.620 content would

00:39:34.160 be the

00:39:34.400 same.

00:39:35.020 So Playboy

00:39:36.020 played it

00:39:36.920 completely straight

00:39:37.700 on content,

00:39:39.240 but they

00:39:39.620 did make me

00:39:40.080 look smarter

00:39:40.600 because they

00:39:41.640 just took

00:39:41.980 out my

00:39:42.280 verbal

00:39:42.580 ticks.

00:39:45.240 North

00:39:45.720 Korean army

00:39:46.340 video, that's

00:39:47.940 just theater.

00:39:51.740 Yeah, the

00:39:52.220 whole, the

00:39:52.600 fact that

00:39:53.620 Buttigieg is

00:39:55.660 on a two

00:39:56.380 month, I

00:39:57.240 guess it's a

00:39:57.800 maternity leave,

00:39:59.480 at the time

00:40:00.220 that we have

00:40:00.860 the biggest

00:40:01.240 problem in

00:40:01.800 the country

00:40:02.160 with his

00:40:02.880 department,

00:40:04.100 that's really

00:40:05.280 a bad look.

00:40:06.060 on one

00:40:07.840 hand, I

00:40:09.320 certainly am

00:40:10.740 happy that

00:40:11.280 parents can

00:40:11.860 take maternity

00:40:12.780 leave and 0.98

00:40:13.240 stuff and

00:40:13.660 paternity 0.93

00:40:14.340 leave, but 0.98

00:40:15.680 parental leave,

00:40:17.700 let's call it,

00:40:18.220 let's be less

00:40:18.780 sexist, but I

00:40:22.260 feel like this

00:40:23.020 should be an

00:40:23.520 exception.

00:40:25.320 I feel like

00:40:26.260 if that were

00:40:26.980 me, I

00:40:29.200 don't know if

00:40:29.700 a Zoom

00:40:30.400 calls with the

00:40:31.160 office is going

00:40:31.840 to be good

00:40:32.180 enough, but

00:40:34.260 they do need to

00:40:34.920 bond with the

00:40:35.440 baby, that's

00:40:35.940 important too.

00:40:37.060 I wouldn't

00:40:37.500 minimize that.

00:40:43.160 The content

00:40:44.000 is the same

00:40:44.600 and they

00:40:44.840 made Scott

00:40:45.340 look smarter.

00:40:46.460 Yeah, I

00:40:47.480 suppose that

00:40:47.860 would be, that

00:40:48.600 is mildly

00:40:49.540 fake news, I

00:40:50.440 would agree

00:40:50.780 with you, it's

00:40:51.340 mildly fake

00:40:52.060 news.

00:40:53.980 You were

00:40:54.600 very impressed

00:40:55.460 by his

00:40:55.900 McKinsey

00:40:56.460 pedigree.

00:40:57.760 I'm very

00:40:58.320 impressed by

00:40:59.020 his analytical

00:40:59.920 pedigree,

00:41:01.600 meaning that

00:41:02.380 he has the

00:41:03.280 ability to

00:41:04.140 look at the

00:41:04.760 numbers.

00:41:04.920 and figure

00:41:05.660 stuff out.

00:41:07.100 So that

00:41:07.580 part I'm

00:41:08.480 still in

00:41:08.880 favor of.

00:41:09.400 I think

00:41:09.660 McKinsey

00:41:10.380 pedigree is

00:41:11.120 strong, but

00:41:12.320 I don't

00:41:13.140 believe I

00:41:13.640 ever told

00:41:14.080 you that

00:41:14.380 his McKinsey

00:41:15.080 pedigree makes

00:41:15.940 him a good

00:41:16.300 leader.

00:41:18.060 Because

00:41:18.500 McKinsey

00:41:18.920 isn't about

00:41:19.380 leadership,

00:41:20.360 they're more

00:41:21.220 about

00:41:21.600 nerdishly

00:41:22.840 looking at

00:41:23.240 numbers and

00:41:23.760 strategy.

00:41:28.740 He should

00:41:29.420 have at

00:41:29.680 least named

00:41:30.120 his backup.

00:41:30.760 Well, of

00:41:31.140 course he's

00:41:31.500 got a

00:41:31.740 backup.

00:41:32.440 I'm sure

00:41:32.780 somebody's in

00:41:33.320 charge.

00:41:33.720 VAERS.

00:41:36.860 The VAERS

00:41:37.460 database, I

00:41:39.060 think we've

00:41:39.400 talked about,

00:41:40.240 we can't

00:41:40.960 trust the

00:41:41.360 information in

00:41:42.060 it, and

00:41:42.240 that's the

00:41:42.500 whole story.

00:41:43.600 But certainly

00:41:44.460 there's enough

00:41:45.140 reporting in

00:41:46.080 there that

00:41:46.580 it's a red

00:41:47.060 flag.

00:41:48.460 It doesn't

00:41:48.860 mean that the

00:41:49.600 vaccines are

00:41:50.300 dangerous.

00:41:51.040 If you think

00:41:51.580 the VAERS

00:41:51.960 database is

00:41:52.580 telling you the

00:41:53.000 vaccines are

00:41:53.560 dangerous, you

00:41:54.640 need to do

00:41:55.240 more research

00:41:55.820 about what the

00:41:56.320 VAERS database

00:41:57.100 is and is

00:41:58.560 not.

00:41:59.460 It is

00:41:59.760 definitely not

00:42:00.740 telling you the

00:42:02.300 vaccinations are

00:42:03.160 dangerous.

00:42:04.280 It definitely

00:42:04.820 is raising a

00:42:06.420 big flag that

00:42:07.260 says maybe you

00:42:09.000 should look at

00:42:09.360 this a little

00:42:09.900 bit closer.

00:42:11.040 It's definitely

00:42:11.400 doing that, but

00:42:12.520 it's not

00:42:12.740 confirming

00:42:13.160 anything.

00:42:17.020 Is 0.88

00:42:17.540 California moving

00:42:18.340 forward with

00:42:19.000 nuclear reactors?

00:42:20.100 I doubt it only

00:42:21.000 because we're

00:42:21.520 incompetent

00:42:22.180 politically.

00:42:27.380 Who's the

00:42:28.040 baby's dad?

00:42:28.800 I don't care.

00:42:33.160 All right.

00:42:41.620 Just looking at

00:42:42.100 some of your

00:42:42.660 comments.

00:42:45.020 Scott, let me

00:42:45.680 record a drum

00:42:46.420 intro for your

00:42:47.280 show.

00:42:48.540 Okay.

00:42:49.640 Go ahead and

00:42:50.320 record one and

00:42:51.320 send it to me

00:42:52.980 somehow.

00:42:55.760 But I have to

00:42:56.440 play it myself

00:42:57.120 ultimately.

00:42:58.040 But if you have

00:42:58.880 an idea for it,

00:42:59.560 I'd love to

00:42:59.880 the glow face

00:43:03.960 generation?

00:43:04.620 What's the

00:43:04.960 glow face?

00:43:05.920 The people on

00:43:06.620 devices?

00:43:09.340 How is

00:43:09.980 Boo today?

00:43:10.600 She's happy and

00:43:11.960 affectionate today.

00:43:13.120 Oh, send it on

00:43:18.080 Instagram.

00:43:18.560 That's perfect.

00:43:19.820 By the way, if

00:43:20.440 you want to get a

00:43:21.060 message to me that

00:43:22.260 I'm more likely to

00:43:23.360 see, my Twitter

00:43:26.160 size is, I

00:43:27.180 don't know, 600

00:43:27.700 and some thousand

00:43:28.540 followers.

00:43:30.180 But my

00:43:32.600 Instagram, I

00:43:33.220 think, is

00:43:33.560 17,000.

00:43:35.860 Most of them are

00:43:36.620 fake followers, I

00:43:37.840 think.

00:43:38.000 I think at least

00:43:39.660 half of my

00:43:40.180 Instagram followers

00:43:41.080 are a slightly

00:43:42.920 overweight woman 1.00

00:43:43.880 with large

00:43:44.660 breasts who has 0.99

00:43:45.340 posted one

00:43:46.040 picture and

00:43:47.120 says, hey,

00:43:48.880 hey.

00:43:51.260 I've got

00:43:52.100 scads of

00:43:53.280 those.

00:43:53.980 I think at

00:43:54.360 least a

00:43:54.720 thousand of

00:43:55.380 my 17,000

00:43:56.440 followers are

00:43:57.840 random woman 1.00

00:43:58.920 with one

00:43:59.480 photo going,

00:44:00.700 hey, hey.

00:44:02.840 Do you get

00:44:03.760 those two?

00:44:06.040 Obviously, they're

00:44:06.980 not real people.

00:44:08.200 I assume they're

00:44:09.040 just guys.

00:44:11.080 Generation Z is 0.72

00:44:14.980 the glow face.

00:44:15.800 I think glow face

00:44:16.620 refers to your

00:44:17.620 phone lighting up

00:44:18.820 your face, right?

00:44:21.020 Could it mean

00:44:21.580 something else?

00:44:23.140 I think that's

00:44:23.700 all it means.

00:44:28.140 Are you on

00:44:28.860 Facebook?

00:44:29.640 Yeah, but I

00:44:30.460 don't read all my

00:44:31.300 messages on

00:44:31.880 Facebook.

00:44:33.680 And I don't

00:44:34.500 accept friends on

00:44:35.640 my personal

00:44:36.080 account.

00:44:38.300 How many of

00:44:39.040 you are watching

00:44:39.560 this on the

00:44:40.080 toilet right

00:44:40.600 now?

00:44:41.460 We're being

00:44:41.920 asked.

00:44:42.480 Anybody?

00:44:43.820 How many are

00:44:44.540 on the toilet

00:44:45.000 right now?

00:44:48.620 Anybody?

00:44:49.360 Like right

00:44:49.780 now?

00:44:50.900 Who's on the

00:44:51.420 toilet right

00:44:52.140 now?

00:44:58.540 Well, at least

00:44:59.220 some of you were

00:44:59.840 for part of it.

00:45:00.900 All right, I

00:45:01.300 think that's a

00:45:01.940 good way to end

00:45:02.700 this show.

00:45:04.160 Possibly the

00:45:05.180 best thing that

00:45:05.760 will ever happen

00:45:06.300 to you today.

00:45:06.880 some of us

00:45:12.640 get embarrassed

00:45:13.200 easier than

00:45:13.880 you.

00:45:18.580 And Rick

00:45:19.160 says, I'm on

00:45:19.760 the couch, but

00:45:20.360 I got to pee.

00:45:21.160 That counts.

00:45:22.500 That counts,

00:45:23.100 right?

00:45:29.940 Quasi-bully 0.96

00:45:30.760 Tiffany Dover,

00:45:31.820 I don't

00:45:32.300 know who

00:45:32.600 she is.

00:45:42.080 Wow, some

00:45:42.740 doctors out

00:45:43.360 there in

00:45:43.640 Canada say

00:45:44.240 they will

00:45:44.520 lose their

00:45:44.920 license if

00:45:45.480 they say

00:45:45.780 anything

00:45:46.020 negative about

00:45:46.680 vaccines.

00:45:47.560 Sheesh.

00:45:49.700 Sheesh.

00:45:53.640 Oh, good.

00:45:54.480 Scott Opelt.

00:45:56.280 I hope things

00:45:56.820 work out for

00:45:57.380 you.

00:45:57.540 I don't

00:45:58.540 all right.

00:46:04.860 Delta, yeah.

00:46:05.620 Delta decided

00:46:06.360 to not mandate

00:46:07.420 vaccination.

00:46:09.120 Smart move.

00:46:10.440 I think smart

00:46:11.760 move.

00:46:14.060 Well, thank

00:46:14.960 you.

00:46:17.880 Please try to

00:46:18.800 stop cussing

00:46:19.480 again.

00:46:21.380 You know,

00:46:21.840 it's a

00:46:22.160 continuous

00:46:22.520 struggle.

00:46:26.620 Sidebar with

00:46:27.440 Viva.

00:46:27.680 Oh, I

00:46:28.340 am going

00:46:28.620 to do

00:46:29.000 Viva

00:46:30.060 and Barnes.

00:46:30.700 I think

00:46:31.160 it's, is

00:46:31.880 it this

00:46:32.180 week?

00:46:33.300 So I

00:46:33.820 did agree

00:46:34.240 to do

00:46:34.660 Viva,

00:46:35.280 Viva

00:46:35.880 and Barnes.

00:46:41.100 You've

00:46:41.540 had better

00:46:41.940 tweets?

00:46:42.480 Yeah, I'm

00:46:42.740 sure I

00:46:42.960 have.

00:46:48.740 Okay.

00:46:50.600 So

00:46:51.040 so the

00:47:00.940 clanking

00:47:01.480 is, so

00:47:03.560 Sticks

00:47:03.940 and Hammer

00:47:04.300 clanks his

00:47:05.540 coffee with

00:47:06.360 his spoon.

00:47:07.480 Well, I

00:47:08.020 don't use

00:47:08.780 anything in

00:47:10.140 my coffee,

00:47:11.340 so I don't

00:47:11.860 need a spoon. 0.97

00:47:13.120 I take my

00:47:13.720 coffee,

00:47:15.420 black.

00:47:15.880 Oh, you're

00:47:22.560 saying that I

00:47:23.020 interact more

00:47:23.620 on Twitter

00:47:24.040 than on

00:47:24.500 locals?

00:47:25.320 Actually, that's

00:47:25.980 not true.

00:47:26.420 I interact

00:47:26.880 with more

00:47:27.340 people on

00:47:28.960 locals, some

00:47:30.100 more individual

00:47:30.780 comments I

00:47:31.460 interact with.

00:47:32.340 But on

00:47:32.680 Twitter, I just

00:47:33.260 get more

00:47:33.580 engagement because

00:47:34.400 there are more

00:47:34.700 people.

00:47:36.100 And I

00:47:36.340 probably tweet

00:47:36.920 more.

00:47:38.320 I probably

00:47:38.740 tweet, obviously,

00:47:39.560 I tweet more.

00:47:40.760 But I interact

00:47:42.500 with more

00:47:42.860 individuals on

00:47:43.980 locals, actually.

00:47:44.720 At least I

00:47:46.640 try to.

00:47:49.980 DeSantis and

00:47:50.680 Tulsi, how

00:47:51.180 come no one

00:47:51.660 mentions Tulsi?

00:47:53.240 Well, we're

00:47:55.280 not in a

00:47:56.020 political race

00:47:57.520 yet.

00:47:58.340 If she were,

00:47:59.020 we would.

00:48:03.400 All right,

00:48:04.000 that's all for

00:48:04.380 now.

00:48:04.720 I will talk

00:48:05.160 to you

00:48:05.560 tomorrow.

00:48:08.200 How do you

00:48:08.540 avoid coffee

00:48:09.200 stains on your

00:48:09.900 teeth?

00:48:12.080 Well,

00:48:14.120 full

00:48:14.420 disclosure,

00:48:15.700 my teeth

00:48:16.620 are not

00:48:17.800 real.

00:48:19.460 So these

00:48:19.820 are, what

00:48:22.620 do you call

00:48:22.960 it?

00:48:23.140 They're not

00:48:23.600 real.

00:48:26.700 They cover

00:48:27.900 my real

00:48:28.420 teeth.

00:48:29.560 Yeah, they're

00:48:30.340 porcelain.

00:48:31.180 They're veneers.

00:48:31.780 I'm sorry,

00:48:32.100 that's the word.

00:48:33.000 They're veneers.

00:48:33.760 So I don't

00:48:34.240 know if the

00:48:34.600 veneers have

00:48:35.240 the same

00:48:35.720 risk of

00:48:36.500 stain.

00:48:41.420 Yeah,

00:48:42.020 they're veneers.

00:48:42.500 So with the

00:48:43.300 veneer, your

00:48:43.860 real teeth are

00:48:44.440 underneath, but

00:48:45.140 they've been

00:48:45.480 ground down.

00:48:46.460 So you'll never

00:48:48.300 be able to use

00:48:48.820 your real teeth

00:48:49.460 because they're

00:48:50.200 ground down to

00:48:50.980 fit the veneer

00:48:51.580 over it.

00:48:54.780 And that's

00:48:55.620 your answer.

00:48:56.280 Bye for now.

Real Coffee with Scott Adams - October 17, 2021

Episode 1532 Scott Adams： Let's Talk About Mandatory Vaccinations for Robots. And More Nonsense.

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