Real Coffee with Scott Adams - Episode 1535 Scott Adams： You Won't Want to Miss Today's Show Because it Will be Awesome Like Usual

00:00:00.000 Well, good morning and welcome to, welcome to what, welcome, you know, the best thing

00:00:10.400 that's ever happened to you.

00:00:12.200 Yeah, a lot of people today woke up and did not come to watch Coffee with Scott Adams

00:00:18.080 and participate in a simultaneous sip.

00:00:20.320 We pity them.

00:00:21.700 We pity them.

00:00:23.400 Because all of you are going to experience something special.

00:00:29.160 That's right.

00:00:30.160 That's right, user.

00:00:32.420 You're going to take it up a notch.

00:00:33.640 And all you need is a cup or mug or glass, a tank or chalice, a styana, a canteen jug or

00:00:37.940 a flask, a vessel of any kind.

00:00:40.320 Fill it with the liquid you like best.

00:00:43.180 I like coffee.

00:00:44.620 And join me now for the unparalleled pleasure of the dopamine of the day.

00:00:49.120 The thing that makes everything better, unless my camera's in the wrong orientation. 0.99

00:00:53.200 Oh, damn it. 0.96

00:00:55.840 My camera's in the wrong orientation. 0.99

00:00:57.720 I'm going to add that to my checklist.

00:00:58.960 But, join me now for the simultaneous sip.

00:01:04.940 This will make everything except your screen orientation better.

00:01:11.320 Wait.

00:01:12.240 It's even improving the screen orientation.

00:01:14.540 Didn't see that coming.

00:01:18.560 Turns out we have a solution for that.

00:01:20.760 It was only on local.

00:01:21.920 So, if you're on YouTube, you didn't see the difference.

00:01:25.260 All right.

00:01:25.540 Much better.

00:01:29.200 I don't know if that turned all of your screens upside down for a minute.

00:01:33.000 Well, do you all know Kanye West?

00:01:36.680 Everybody know who Kanye West is?

00:01:38.820 That's a trick question.

00:01:40.660 There's nobody named Kanye West.

00:01:42.480 He's changed his name to just Y-E, which I think he calls Ye.

00:01:49.260 It's not Ye, right?

00:01:51.740 Is it?

00:01:52.380 Because it's Kanye, so it's Ye.

00:01:54.900 Right.

00:01:56.140 Ye is a pretty good name.

00:01:57.000 I like it when people who are already super famous make us think about their name change.

00:02:04.360 Because it keeps us in their memory.

00:02:06.860 So, I liked it when Prince did it, just because it made us continually talk about him.

00:02:12.140 And I like it when Ye is doing it.

00:02:15.320 It's just a good technique.

00:02:16.800 It's a very persuasive thing.

00:02:18.120 It's an easy way to stay in the news.

00:02:20.140 And I think everybody called him Ye in person, so it just made sense. 0.97

00:02:24.660 But the interesting thing is that he arrived on a flight, I guess people's up in the airport,

00:02:30.960 wearing a Halloween kind of mask, which could be described as white face.

00:02:37.740 Could be described as white face.

00:02:39.900 It was a Caucasian mask. 0.82

00:02:42.900 How do you feel about that?

00:02:48.040 Well, I love the fact that he did it.

00:02:51.480 Because he just does anything that...

00:02:53.420 I mean, he's willing to do things that grab your attention and are provocative.

00:02:58.360 And yeah, it was funny.

00:03:00.160 But the weirdest thing is that he's reportedly meeting with Michael Cohen.

00:03:05.880 Trump's, you know, fallen from grace lawyer.

00:03:10.000 What's that all about?

00:03:12.160 What is Kanye talking to Michael Cohen about?

00:03:16.960 Does anybody know?

00:03:18.340 Do you even have a guess?

00:03:20.640 Like, what possible business could the two of them have?

00:03:23.880 Oh, divorce?

00:03:24.880 Yeah.

00:03:25.960 But divorce... 1.00

00:03:26.560 He's not really a divorce lawyer.

00:03:29.460 Yeah, I don't know.

00:03:30.800 It's weird.

00:03:32.580 But maybe we'll find that out.

00:03:35.200 There's a story out of India about a monkey killing a man by hurling a brick off a second

00:03:41.440 floor of a building.

00:03:43.220 Monkey threw that brick, killed that man.

00:03:45.380 ISIS has already claimed responsibility.

00:03:48.920 But CNN is reporting that it was caused by climate change.

00:03:52.980 Because if there's one thing you know about climate change, it will cause monkeys to start hurling

00:03:59.700 bricks.

00:04:00.140 If you think this is a one-off, well, you haven't watched CNN.

00:04:04.160 Because anything that's a little bit unexpected means climate change.

00:04:11.660 So climate changes are making monkeys crazy.

00:04:14.640 And they're starting to look for blunt objects to throw at humans.

00:04:18.240 And they've got their first kill.

00:04:20.400 Man in India. 0.99

00:04:21.060 The true part is the monkey part.

00:04:26.200 The fake part is the climate science part.

00:04:28.440 I made that up.

00:04:29.640 If somebody's new here, you might actually think that CNN reported it was because of climate

00:04:34.140 change.

00:04:35.200 Remember, parody and reality have merged now.

00:04:38.920 So I actually had to step back and say, no, actually, CNN is not reporting that climate

00:04:45.040 change is causing monkeys to hurl bricks.

00:04:46.820 Here's news from the simulation.

00:04:50.780 News from the simulation.

00:04:53.700 It's a low-budget operation.

00:04:55.060 I have to do my own stings.

00:04:58.480 But the news from the simulation, Spokane Police Department is investigating the origin of the

00:05:05.220 explicit video, an X-rated video, that showed up on screen on a news show in Spokane.

00:05:11.760 So I think it was the weather person was doing the news and suddenly an X-rated scene showed

00:05:18.240 up on the screen.

00:05:20.420 Here's the simulation part.

00:05:23.340 It was a local news station whose call letters are K-R-E-M dash TV.

00:05:32.820 How do you pronounce that?

00:05:34.780 K-R-E-M. 1.00

00:05:37.760 Would you pronounce it Krem?

00:05:41.760 Maybe, maybe, maybe Krem.

00:05:46.320 Or, or, is the simulation messing with us again?

00:05:53.620 Is it a coincidence that the one local news station that had some porn on it was K-R-E-M TV?

00:06:02.760 K-R-E-M TV.

00:06:03.800 I'm not making this up.

00:06:08.160 I'm just telling you the news.

00:06:11.160 Yeah.

00:06:12.920 Obviously, we live in a simulation.

00:06:14.880 There's no other explanation.

00:06:16.200 All right.

00:06:16.400 Here's another mystery.

00:06:18.260 So y'all know there's, y'all, y'all know there's a supply chain problem and it has to do with

00:06:24.960 trucking shortages.

00:06:26.220 Do you know the reason for the trucking shortage?

00:06:30.240 Anybody?

00:06:30.880 Anybody?

00:06:31.620 Do you know the reason for the trucking shortage?

00:06:34.700 Well, before I tell you the reason for the trucking shortage, let me give you a rule

00:06:43.160 of thumb for knowing a lie from the truth.

00:06:47.420 Now, here's one I learned from a friend of mine and I didn't believe it the first time

00:06:50.820 I heard it.

00:06:51.840 But if you follow this rule and just keep it in mind, watch how often it predicts.

00:06:58.280 Not 100%.

00:06:59.320 But it's really predictive and it goes like this.

00:07:03.400 The truth usually has one good reason to it.

00:07:09.280 Right?

00:07:10.060 There are exceptions, of course.

00:07:11.800 But if something is true, there's usually one good reason.

00:07:15.740 And if there's more than one good reason, there are usually obvious ones that you can

00:07:18.780 also see.

00:07:20.220 Okay?

00:07:20.440 So, when you have more than one good reason offered, the more reasons that are offered,

00:07:28.460 the less likely the base story is true.

00:07:32.080 You got that?

00:07:33.160 If there's just one or maybe two, if there are obvious reasons, given for an explanation

00:07:37.980 for a thing, probably true.

00:07:39.360 Or it could be true.

00:07:40.780 But if you have seven explanations for a thing and they're all different, there's something

00:07:45.440 going on.

00:07:46.040 It means either nobody knows what's going on or somebody's lying.

00:07:52.000 Right?

00:07:52.400 Now, let's look at the trucking shortage.

00:07:55.640 What's the one reason for it?

00:07:57.980 There isn't.

00:07:59.860 There are multiple reasons.

00:08:02.020 There are some, I saw in the comments, that truckers don't want to get vaccinated.

00:08:06.740 Maybe.

00:08:07.720 There's truckers, or too many of them are on meth.

00:08:10.100 They can't pass, or people want to be truckers or can't pass the drug test.

00:08:15.000 Maybe.

00:08:16.160 There's something about California requiring only newer trucks be used for climate and

00:08:22.060 environmental reasons, so that there would be a limit of trucks because there are not

00:08:26.420 enough new ones.

00:08:27.520 There's an issue of the supplies to fix the trucks themselves.

00:08:32.280 So, the supply chain is broken, but included in that broken supply chain is the parts to

00:08:39.460 fix the trucks that broke the supply chain.

00:08:42.380 So, that's another explanation given.

00:08:45.660 So, the trucks have to be green.

00:08:47.380 We don't have enough green ones.

00:08:49.440 Let's see.

00:08:49.760 Here's some other reasons.

00:08:51.500 Truck driving schools, not enough of them.

00:08:53.660 They're too slow.

00:08:54.420 They're kind of expensive.

00:08:56.480 Pete Buttigieg pointed out that demand is higher.

00:08:58.760 So, we're just, because of the pandemic, you know, keeping demand low for a while, it's

00:09:05.340 just a little excess demand.

00:09:07.980 How about low wages and bad treatment of customers?

00:09:11.340 Low wages for truck drivers.

00:09:13.280 Customers treat them poorly.

00:09:15.260 I mentioned drug testing.

00:09:17.300 In the UK, they've got also a supply chain problem.

00:09:20.940 And they blame a backlog of truck driver license requests.

00:09:25.940 I guess there are 50,000 people who have applied to be truck drivers in the UK, but they can't

00:09:30.740 get through.

00:09:31.900 Now, what are the odds, given all these different reasons, what are the odds that the UK would

00:09:39.240 be having a problem at the same time we would, for a different reason?

00:09:45.780 Just think about it.

00:09:47.120 What are the odds there would be a massive supply chain problem in the United States, with all

00:09:52.420 these different reasons given, and the UK, just coincidentally, would also have a supply

00:09:57.680 chain problem for a completely different reason that the bureaucracy can't process stuff?

00:10:05.260 What's going on?

00:10:07.540 What's going on?

00:10:08.540 Now, somebody says it's really the same reasons in the UK, or similar.

00:10:13.080 Could be.

00:10:14.020 Wouldn't rule that out.

00:10:17.280 Here's my take on it.

00:10:19.780 I think there's something we're going to find out about this story that we don't know.

00:10:24.480 There's something we're going to find out that we don't yet know.

00:10:29.660 It could be that it's just this weird, perfect storm, that all these things happened at the

00:10:35.540 same time, and really the pandemic was sort of behind most of them, right?

00:10:39.880 Not all of them, but the pandemic, you know, exacerbated a thing that was already maybe on

00:10:44.640 the edge.

00:10:46.920 That's believable.

00:10:48.600 Could be.

00:10:50.100 But it's happening in the UK, same time.

00:10:51.900 They're getting the same, perfect storm.

00:10:54.820 And what about other places?

00:10:56.580 I don't know.

00:10:58.040 So here's my take on this.

00:10:59.980 I think there's some big, ugly secret coming.

00:11:02.920 A big, ugly secret coming.

00:11:05.420 Because let's just go through the reasons given, and let me tell you how compelling or not they

00:11:10.500 are.

00:11:10.680 I believe that in the context of an emergency, it wouldn't be hard to train new people quickly.

00:11:18.400 How long does it take to learn to drive a truck?

00:11:22.060 Two weeks?

00:11:23.860 Two weeks?

00:11:25.300 Couldn't you get there in two weeks?

00:11:27.980 Suppose they loosened maybe, I don't know, the marijuana condition of the drug testing.

00:11:33.060 I don't know if that's already happened.

00:11:34.660 But suppose they did that just because it's an emergency.

00:11:36.720 They say, all right, in the short run, we're going to lower our standards.

00:11:40.980 How about using trucks that are not as green, temporarily, and then going back to the green

00:11:46.280 trucks when you can?

00:11:48.300 Don't all of these problems look solvable to you?

00:11:52.120 Don't they?

00:11:53.420 There are a whole bunch of problems, but they all fall in that category of, they look really

00:11:58.400 solvable, but they don't look like they're getting solved.

00:12:03.760 Something's wrong, right?

00:12:05.500 Imagine Trump in charge, and he realizes that there's a supply chain problem.

00:12:12.220 You don't think he could fix that?

00:12:14.520 Because I think he could.

00:12:16.280 Because whatever is causing this is fear, bureaucracy, or red tape, right?

00:12:23.840 It's like fear, bureaucracy, red tape, inertia, politics maybe, something like that.

00:12:31.700 Those are all Trump's sweet spots.

00:12:35.840 That's exactly what you want a Trump for.

00:12:39.620 Remember, I don't say Trump is the best at all things presidential.

00:12:42.800 I think he was not so good for health care, although he did some good things there, too.

00:12:48.400 But there are some things he's just sort of perfect for.

00:12:51.600 The border is one.

00:12:53.900 Negotiating with China hard, that's another. 0.99

00:12:56.540 North Korea, he was perfect for it. 1.00

00:12:59.400 But, and this truck shortage, I think he'd be perfect for this.

00:13:02.880 Because he has exactly the qualities you need, but Biden has none of them.

00:13:06.980 Biden has none of them.

00:13:08.840 So that's why we're here.

00:13:11.260 I saw an interesting concept by Twitter user Phil Reed.

00:13:16.600 He was making an analogy to my talent stack idea, where you add talents together that make sense to make yourself more valuable.

00:13:24.060 And he said there's a similar thing with the Apple ecosystem, meaning that if you start getting into Apple products, because they work together, you know, the fact that I could go from my phone to my iPad to my computer, and I'm still in the same place, et cetera, and a number of other things that make the products work together.

00:13:44.200 He makes the point that you don't have to be the best at any of those things if you've built an ecosystem where they all work together.

00:13:52.700 And I thought that was, somebody says synergy.

00:13:56.180 Yeah, I mean, you could say it's just synergy, but I think it gives it a little more meat on the idea to compare it to the talent stack idea and say it's an ecosystem stack, if you will.

00:14:09.380 Everything from your watch to your computer all have something in common and they work together.

00:14:15.280 I just thought it was an interesting take on that.

00:14:18.280 Big news about Facebook, they're changing their name.

00:14:20.720 Do you know why Facebook is changing their name?

00:14:25.260 Anybody? Anybody?

00:14:26.380 Why are they changing their name?

00:14:28.840 Well, in my opinion, well, first of all, they may have some baggage they want to get rid of.

00:14:34.600 And I also think Facebook doesn't sound like a current name, does it?

00:14:38.240 Having the word book in a tech company name, it's really not a forward-looking name, is it?

00:14:46.320 It was fine for a while.

00:14:49.260 But the biggest reason they're changing the name is that their business is going to change in a big way.

00:14:54.860 And I would argue that this change in Facebook will be one of the biggest changes in human evolution.

00:15:02.780 One of the biggest changes in human evolution.

00:15:07.260 Like real big.

00:15:08.780 Like as big as opposing thumbs.

00:15:11.140 Like that big.

00:15:12.000 Here's why.

00:15:15.040 Apparently they're going to go balls to the wall into the metaverse.

00:15:20.740 Or the virtual worlds, which are created by 3D, you know, graphic stuff and AR.

00:15:28.640 Artificial reality and virtual reality.

00:15:31.700 So Facebook is creating an entire new reality.

00:15:36.600 Multiple realities.

00:15:37.460 And each of these realities will have a function.

00:15:41.640 So one of the fake realities might be a conference room, where you put on your goggles and you go to that conference room and you're in that room.

00:15:49.500 Others might be vacations.

00:15:51.680 You might be able to take a group vacation somewhere, just with your goggles on.

00:15:56.920 You might be able to fly somewhere, just with your goggles on.

00:16:01.240 And I would argue, you don't see how big this is.

00:16:05.560 I don't think any of you can see how big this is.

00:16:10.300 The only people who can see it are the people who have tried the technology.

00:16:14.860 If you've tried it, you know how big this is.

00:16:19.300 Because right now it's sort of in its infancy, in a way.

00:16:22.600 You know, maybe it's sophomore year or something.

00:16:25.560 So it's not ready for prime time, I would say.

00:16:29.400 But, oh, that's dangerous.

00:16:31.980 It's not ready for prime time, but it's going to get there really quickly, and fairly obviously.

00:16:39.080 And this is huge.

00:16:41.920 Let me tell you what I know.

00:16:42.940 I did get a virtual reality system a few years ago just to check it out.

00:16:47.140 And just in a few years, it's probably completely different now.

00:16:49.380 But when you have the virtual reality headset on, your experience is so rich, it can be better than real life.

00:17:03.020 It's a problem.

00:17:05.540 The virtual reality can be better than real life, and maybe a lot.

00:17:11.940 Imagine, if you will, that you're unattractive.

00:17:16.380 I know.

00:17:17.220 Hard for us to imagine.

00:17:19.000 I mean, because the people who watch me are unusually sexy.

00:17:21.980 But imagine you're somebody else, and you're not the sexy beast that I know you are.

00:17:28.140 How much are you going to like living in the real world, where people treat you like Elephant Man,

00:17:33.100 versus living in the virtual world, where you look like your avatar,

00:17:38.520 and people interact with you as the avatar?

00:17:41.720 Which one are you going to want to spend more time in?

00:17:45.120 Yeah, disabled people.

00:17:46.780 Now, well, actually, let me take that back.

00:17:50.040 I think you trapped with that comment.

00:17:51.820 You trapped me into saying something illiberal.

00:17:56.400 Is that the right word?

00:17:57.120 If we assume that disabled people, and let's say differently abled, 0.71

00:18:02.620 disabled by itself is not as woke as it should be, 1.00

00:18:06.660 but let's say differently abled people,

00:18:08.860 if you make the assumption that they need a virtual reality,

00:18:12.500 you kind of, that's kind of not cool.

00:18:15.680 You know what I mean?

00:18:17.260 Because just being differently abled doesn't mean you have to leave reality or something.

00:18:21.560 So I guess I was a little offended by your suggestion,

00:18:24.800 even though I totally understand it.

00:18:26.060 So your suggestion is completely fair,

00:18:29.020 but I don't know if, did anybody else feel that?

00:18:31.740 If you talk about differently abled people,

00:18:36.160 and I agree with that wording, by the way.

00:18:39.240 You can certainly see that there would be people in that category

00:18:42.100 who would like the virtual world better,

00:18:44.280 so the comment is perfectly fair.

00:18:46.920 But I don't know, just imagining that there's a group

00:18:50.140 that needs to get out of reality is,

00:18:53.180 I guess I said the same thing with unattractive people. 0.93

00:18:56.060 If you are blind, interesting.

00:19:00.740 If you're blind, you're not going to have any access to this.

00:19:03.900 That's a really interesting point.

00:19:06.300 Yeah.

00:19:06.500 I wonder if there's a way to get a virtual site.

00:19:11.460 I'll bet there is.

00:19:12.880 I'll bet you could get a virtual site someday.

00:19:16.080 Something, you know, directly, yeah, Neuralink kind of thing,

00:19:20.420 directly linking to your brain.

00:19:22.960 Maybe.

00:19:24.560 Someday.

00:19:25.080 Anyway, I don't think you realize how gigantic that is.

00:19:28.020 It's really gigantic.

00:19:29.740 There's some fake news about Southwest Airlines.

00:19:33.300 Fake in the sense that it's being reported in an incomplete way.

00:19:38.440 So Hannity was tweeting this,

00:19:40.900 and what Hannity said was breaking.

00:19:43.180 Southwest Airlines drops plan to place unvaxxed workers on unpaid leave.

00:19:48.420 Now, if you hear that they stopped their plan

00:19:51.360 to put unvaxxed workers on unpaid leave,

00:19:54.960 you would say to yourself,

00:19:56.320 hey, they're going to put people who are unvaccinated 0.96

00:19:59.320 on unpaid leave, or they were before.

00:20:02.840 Is that true?

00:20:04.620 It's true-ish, but it's missing too much context.

00:20:08.780 Right?

00:20:09.500 It's true-ish.

00:20:10.320 The context that's missing

00:20:12.040 is that the only people involved

00:20:13.920 were the people who had applied for exceptions,

00:20:18.020 religious or otherwise,

00:20:19.620 and had not gotten an answer yet.

00:20:22.260 So to me, all they're doing is delaying the mandate

00:20:25.200 until they can work through the number of people

00:20:27.980 asking for exceptions.

00:20:29.480 So to me, it looks like nothing.

00:20:32.000 To me, it just looks like nothing.

00:20:34.060 Like nothing changed,

00:20:35.240 except they just delayed it

00:20:36.640 until they feel they can do it right.

00:20:38.340 So I feel like this was fake news

00:20:40.520 to imagine that they reversed the policy.

00:20:43.860 I think all they did was make a practical decision

00:20:46.460 that they couldn't do everything

00:20:47.500 as quickly as they wanted.

00:20:49.340 I think that's all.

00:20:51.480 We'll see.

00:20:52.420 More news might come out of that.

00:20:57.580 I would like to call out

00:20:59.080 one of my internet friends

00:21:01.860 for cognitive dissonance.

00:21:04.160 Now, this is somebody I interact with a lot,

00:21:06.960 might even be watching.

00:21:08.780 So if you're watching,

00:21:09.960 I'm going to be talking about you in a moment.

00:21:11.860 So this is nothing personal about the person, okay?

00:21:15.160 So I'm going to say something

00:21:16.240 that you might think is personal.

00:21:18.080 It's not.

00:21:19.080 Because it's somebody I like.

00:21:21.400 But this person, I believe,

00:21:23.120 is experiencing cognitive dissonance.

00:21:26.700 And when you experience cognitive dissonance,

00:21:29.660 you're the only one who doesn't know.

00:21:31.500 That's the nature of it, right?

00:21:32.820 So if I experience it,

00:21:34.760 I will swear I'm not.

00:21:36.940 You're the only people who know.

00:21:39.060 Nobody else is going to know.

00:21:40.740 All right.

00:21:41.320 So I'm talking about Justin Hart.

00:21:44.020 All right.

00:21:44.520 Justin Hart.

00:21:45.100 I see you're guessing,

00:21:46.020 so stop guessing.

00:21:47.380 His name is Justin Hart.

00:21:49.220 Great guy.

00:21:50.680 Interacts a lot on Twitter.

00:21:53.600 I've had lots of interactions with him.

00:21:55.400 But he's more on the,

00:21:57.380 let's say,

00:21:58.080 I don't want to characterize other people too much,

00:22:00.640 but I'd say he's on the skeptical side

00:22:02.460 of the pandemic conversation.

00:22:06.600 He's on the skeptical side.

00:22:08.660 And here's something he said today,

00:22:10.860 talking about the Southwest Airlines story.

00:22:13.420 So he said in a tweet,

00:22:15.060 quote,

00:22:15.580 they caved.

00:22:16.580 They'll cave more when the next deadline comes again.

00:22:20.480 Now that part I'm not arguing with,

00:22:22.320 that whether they caved or whether they'll cave again.

00:22:25.060 So no argument about that.

00:22:27.520 But the next part,

00:22:29.740 tell me if I'm experiencing cognitive dissonance,

00:22:33.460 because you're the only ones who know, right?

00:22:35.520 I can't tell.

00:22:37.120 I think Justin is experiencing it.

00:22:41.380 So here's the next sentence.

00:22:42.740 You be the judge, okay?

00:22:45.520 He says,

00:22:46.320 since 40 to 60% of all infections

00:22:49.260 are coming from fully vaccinated people.

00:22:52.420 Now, first of all,

00:22:53.000 I don't know if that's true,

00:22:53.940 but let's accept as true

00:22:56.580 that there are a lot of vaccinated people

00:22:58.800 getting infected.

00:23:01.360 So that part's true, right?

00:23:02.540 I don't know if it's 40 to 60.

00:23:05.940 I'm not sure that's right.

00:23:07.240 But let's just say there's a lot of them.

00:23:10.200 Somebody says it's absolutely true,

00:23:12.220 and I'm seeing other people saying it's not true.

00:23:14.760 So I want everybody to know

00:23:16.420 that some people say it's true

00:23:17.600 and some people say it's not true.

00:23:19.080 I don't know.

00:23:19.620 But it doesn't matter to my point.

00:23:22.920 We all agree that there are a lot of vaccinated people

00:23:25.280 getting infected, right?

00:23:26.640 We're all on that page.

00:23:28.600 A lot of vaccinated people are getting infected.

00:23:31.200 All right.

00:23:31.960 So here's what he says.

00:23:33.080 Because if 40 to 60% of all infections

00:23:36.020 are coming from fully vaccinated people,

00:23:38.860 he concludes that the mandates seem superfluous.

00:23:42.360 Do you think the fact that vaccinated people

00:23:45.960 also get infections, and quite frequently,

00:23:49.660 does the fact that they're vaccinating

00:23:51.520 make the mandate seem superfluous?

00:23:54.380 Now, hold on, hold on.

00:23:56.620 I didn't say, is the mandate a good idea in your opinion?

00:24:00.340 That's not the question.

00:24:02.020 So you're not judging whether mandates are good or bad, all right?

00:24:05.360 Nobody's judging mandates.

00:24:06.900 I know your opinion on mandates.

00:24:08.860 I don't like them.

00:24:10.360 Most of you don't like them.

00:24:11.480 So we're not talking about whether mandates are good or bad.

00:24:14.800 That's not the topic.

00:24:16.500 The topic is whether the fact that many vaccinated people

00:24:20.900 get infections, does that make a mandate senseless?

00:24:27.180 Is that fact important to the decision?

00:24:32.160 I see yeses.

00:24:33.760 I see lots of yeses.

00:24:35.320 That that's important to the decision.

00:24:38.040 I see one now, but mostly yeses.

00:24:39.980 So most people are agreeing with Justin

00:24:42.500 that a mandate is superfluous.

00:24:46.760 Now, you know that superfluous means completely unnecessary, right?

00:24:50.940 Everybody got that?

00:24:52.460 That the mandate would be have no effect, basically,

00:24:58.020 have no effect,

00:24:59.160 if so many vaccinated people are getting infected.

00:25:03.660 How many people think that's a good conclusion?

00:25:06.240 So there's somebody here who still thinks I like mandates.

00:25:15.000 How could you be so misinformed?

00:25:17.740 I've only said it every single time I've been on livestream.

00:25:21.140 I think every single time I've said I oppose mandates

00:25:24.040 because enough people are vaccinated.

00:25:27.700 All right, here's the problem I have with that.

00:25:29.520 But the reason that these airlines want people to get vaccinated

00:25:34.080 has nothing to do with how many of them got infected.

00:25:38.620 It's just not part of the decision.

00:25:42.280 And so it seems like cognitive dissonance

00:25:44.700 to imagine it even matters.

00:25:47.420 Because here's the calculation,

00:25:49.460 that if you are vaccinated, you're unlikely to die,

00:25:52.520 and you're far less likely to spread it.

00:25:54.620 Now, those two things are agreed by science, right?

00:26:00.020 I can't... I mean, I haven't tested it myself.

00:26:02.760 But science is very clear,

00:26:05.280 assuming they're right,

00:26:07.360 very clear that it takes your risk of death down to trivial,

00:26:12.040 and your risk of spreading it is much less.

00:26:17.600 I see James say, wrong.

00:26:19.900 So there are people who will be on...

00:26:21.360 Yeah, false.

00:26:22.080 I'm seeing Ochango says. 0.94

00:26:24.620 So here's my challenge to you.

00:26:28.620 I'm seeing that my audience is split on this.

00:26:31.400 My understanding is that it's really, really clear,

00:26:35.760 like super clear,

00:26:37.560 way, way clear, like multiples clear.

00:26:40.660 Like the clearest thing you could ever know,

00:26:43.520 the vaccinations reduce your risk

00:26:46.020 and the amount that you spread.

00:26:51.920 Somebody's saying marginal.

00:26:53.080 I'm saying that's completely wrong.

00:26:55.440 That it's not marginal.

00:26:56.460 It's more like 7 to 1, 11 to 1, 200 to 1.

00:27:00.220 I think I read it's like 200 times more likely

00:27:02.900 you'll spread it if you're not vaccinated.

00:27:05.220 200 times.

00:27:06.700 I don't know if that's right.

00:27:08.140 But say it's 11 times.

00:27:09.820 Or 10 times.

00:27:11.260 Whatever it is, it's not close, right?

00:27:13.340 So the rat race says, LOL, shark jumped.

00:27:20.160 Am I jumping the shark

00:27:21.900 by telling you something you didn't know?

00:27:25.440 Because most of you are actually confused

00:27:27.900 by the fact that lots of people get infected

00:27:30.980 while vaccinated,

00:27:32.640 and therefore the vaccinations don't have a purpose.

00:27:36.200 That is so wrong, according to science.

00:27:40.380 Now, if science is wrong, well,

00:27:42.460 I guess we all got fooled.

00:27:45.020 But you do know that they're unanimous, right?

00:27:49.660 It is unanimous.

00:27:50.820 Let me say it again.

00:27:54.220 I'm pretty sure that even the doctors

00:27:56.000 who are the rogue doctors

00:27:57.520 who are telling you it's a bad idea to get vaccinated,

00:28:00.500 and you watch a lot of them, right?

00:28:02.160 How many of you have watched doctors say,

00:28:04.580 hey, I'm not so sure about these vaccinations?

00:28:07.000 You know, the rogue doctors.

00:28:09.060 A lot of them say that.

00:28:10.500 But as far as I know,

00:28:12.220 I think even the rogues agree

00:28:14.420 that you're far less likely to die from COVID

00:28:18.640 as opposed to the vaccine itself.

00:28:21.440 And that your risk of spreading it is way, way less.

00:28:29.640 I think those are things

00:28:31.080 that even the critics agree with, by the way.

00:28:33.780 So here's my challenge to you.

00:28:35.340 I say that even the experts who are anti-vax

00:28:39.820 would agree with the statement

00:28:42.220 that the vaccine reduces your risk of COVID

00:28:45.660 and your risk of spreading it vastly.

00:28:48.300 Even the critics.

00:28:49.380 So that's my challenge to you.

00:28:51.720 Find out any critic.

00:28:54.320 Somebody says, Israel, that's been debunked.

00:28:57.340 I know you've read news stories

00:28:59.240 that say the opposite,

00:29:00.540 but they've all been debunked.

00:29:02.760 Go check it yourself.

00:29:05.860 You do the research.

00:29:07.160 You won't find any experts

00:29:08.840 who disagree with me.

00:29:10.940 So, since I know that Justin,

00:29:15.220 who I was talking about here,

00:29:17.220 since I know him to be someone

00:29:19.000 who's following this topic closely,

00:29:21.680 and also, you know, a smart guy,

00:29:23.500 I feel as if his previous skepticism

00:29:27.160 is maybe triggering him

00:29:29.540 into cognitive dissonance.

00:29:32.600 Now, as I've argued before,

00:29:35.460 you need a trigger.

00:29:37.000 There has to be something

00:29:37.940 that makes your worldview not make sense

00:29:40.160 that triggers the cognitive dissonance.

00:29:43.040 I would argue I don't have that trigger,

00:29:45.140 because, as far as I know,

00:29:47.320 I haven't predicted anything

00:29:48.580 that was wrong,

00:29:51.280 or at least relative

00:29:53.460 to this specific topic.

00:29:55.500 Obviously, I've predicted things

00:29:56.840 that were wrong.

00:29:59.480 Oh, somebody says I got vaccinated.

00:30:02.040 Well, that's a good...

00:30:03.500 Would that be a trigger?

00:30:05.700 Would it be a trigger

00:30:06.780 to think that I was right?

00:30:10.140 Because here...

00:30:11.140 So that was a good...

00:30:12.300 That's a good comment.

00:30:13.880 Did you catch that?

00:30:15.180 Somebody said that I'm vaccinated,

00:30:16.880 and that could be my trigger,

00:30:18.340 because I made a decision,

00:30:20.100 and therefore I have to be consistent

00:30:21.260 with my decision.

00:30:22.620 But here's my defense of that.

00:30:25.220 My defense is that I don't know

00:30:27.300 that I made the right decision.

00:30:30.840 Hear that clearly.

00:30:32.640 I took a...

00:30:34.120 what I thought was a calculated risk

00:30:36.420 that had a risk of going wrong

00:30:39.460 in either direction.

00:30:41.640 So I'm open to the fact

00:30:43.040 that I made the wrong decision,

00:30:44.640 or that new information

00:30:45.820 would make it look like

00:30:47.520 a bad or worse decision

00:30:49.060 than it was.

00:30:50.840 I'm completely open to that.

00:30:52.600 There's nothing that would change

00:30:54.400 my, I don't know,

00:30:56.100 view of myself

00:30:57.200 if I turned down

00:30:59.580 to be completely wrong

00:31:01.080 on the vaccination stuff.

00:31:03.260 Because, to me,

00:31:04.900 that would be interesting.

00:31:06.260 I would admit it immediately.

00:31:08.140 I wouldn't be embarrassed,

00:31:10.600 because I just don't feel

00:31:12.160 embarrassment for stuff like that.

00:31:14.200 And I've said from the beginning

00:31:15.720 of the pandemic,

00:31:16.560 a lot of people are going to be

00:31:17.720 really wrong.

00:31:19.320 Don't hold it against them.

00:31:20.700 We're all doing the best we can.

00:31:22.420 You know, we're guessing.

00:31:23.400 We're doing the best we can.

00:31:25.240 And so I put myself

00:31:26.520 in the same category

00:31:27.440 that I put others in,

00:31:28.940 which is, yeah,

00:31:29.680 we're going to get some stuff wrong.

00:31:31.520 And people might die.

00:31:33.560 Literally, 0.96

00:31:34.320 I could be killing people. 0.99

00:31:36.720 Literally. 0.98

00:31:37.960 Because if I've said something

00:31:39.220 that persuaded somebody

00:31:40.200 to make a choice

00:31:40.900 they wouldn't have made

00:31:41.580 and it turned out

00:31:42.360 to be the wrong choice, 0.98

00:31:43.640 I could be killing people right now.

00:31:45.360 And that's not even 0.99

00:31:46.080 a little bit hyperbolic.

00:31:49.240 So I'll tell you

00:31:50.060 what protects me a little bit

00:31:51.560 from cognitive dissonance.

00:31:53.560 And again,

00:31:54.720 how would I know?

00:31:56.140 But I'm open to being wrong

00:31:58.340 and embrace it,

00:31:59.520 and I don't have to

00:32:00.860 protect against it.

00:32:02.960 So I don't have

00:32:03.840 an ego wall that says,

00:32:05.740 oh, if I'm wrong,

00:32:06.680 this is going to be bad for me.

00:32:08.300 I don't.

00:32:09.420 If I'm wrong,

00:32:10.160 I'm just wrong.

00:32:11.360 I'll talk about something else.

00:32:13.120 I'm pretty sure

00:32:13.780 I can live with that.

00:32:17.580 VAX does not reduce the spread.

00:32:19.560 This is what

00:32:20.140 Right Lane Bandit says.

00:32:21.980 In all caps,

00:32:23.000 VAX does not reduce the spread.

00:32:24.660 It reduces death.

00:32:26.120 Get educated.

00:32:27.680 Okay.

00:32:27.960 Let me say this

00:32:29.100 as clearly as possible.

00:32:30.300 All the experts

00:32:31.080 disagree with you.

00:32:32.620 There's nothing

00:32:33.420 you could Google

00:32:34.080 that would agree with you.

00:32:36.080 Nothing.

00:32:37.940 Nothing.

00:32:39.180 There's no expert

00:32:40.480 that has your opinion.

00:32:42.640 Even the people

00:32:43.460 who agree with you

00:32:44.440 that you shouldn't

00:32:45.380 get vaccinated

00:32:46.120 don't have that opinion.

00:32:48.800 I'm seeing Bud say,

00:32:49.860 Bandit is right.

00:32:52.260 All right,

00:32:52.600 so here's your challenge.

00:32:54.760 Find me

00:32:55.560 some scientists

00:32:59.400 who are not

00:33:00.940 in some sketchy

00:33:01.980 blog site,

00:33:03.980 you know,

00:33:04.200 some credible

00:33:05.160 looking thing

00:33:05.980 that suggests

00:33:07.320 that all the experts

00:33:08.500 are wrong

00:33:08.900 and see if you can

00:33:10.920 change my mind.

00:33:12.720 All right?

00:33:13.020 Change my mind.

00:33:18.020 Dr.

00:33:18.880 No,

00:33:19.460 Dr. Bhattacharya

00:33:20.260 does not say that.

00:33:21.580 Nope.

00:33:22.860 Nope.

00:33:23.280 All the ones

00:33:24.420 you think

00:33:24.920 say that

00:33:25.400 are saying

00:33:25.800 something different.

00:33:26.740 I think that might

00:33:27.360 be the confusion

00:33:28.060 because there are

00:33:28.980 people who are

00:33:29.560 anti-vax.

00:33:31.300 So I'm not

00:33:31.980 saying there are

00:33:32.740 no anti-vax

00:33:33.720 people.

00:33:34.900 I'm saying that

00:33:35.380 the reason

00:33:35.960 they're anti-vax

00:33:36.760 is that they think

00:33:37.540 there's more risk

00:33:38.820 from the vaccination

00:33:39.640 than the COVID.

00:33:43.180 And I'm not even

00:33:44.060 arguing that point

00:33:44.840 because I wouldn't

00:33:45.560 know one way

00:33:46.060 or the other.

00:33:46.420 There are other

00:33:50.760 reasons for

00:33:51.260 anti-vax.

00:33:51.960 Right.

00:33:52.260 There are other

00:33:52.720 reasons and they're

00:33:54.040 not the ones I'm

00:33:54.640 talking about right

00:33:55.260 now.

00:33:56.960 Yeah, we're not

00:33:57.540 talking about

00:33:57.940 natural immunity

00:33:58.700 or anything.

00:33:59.780 All right.

00:34:00.340 So I feel that

00:34:02.320 most of you are

00:34:02.980 being triggered

00:34:03.480 into cognitive

00:34:04.220 dissonance and

00:34:05.020 this is what's

00:34:05.560 going to happen.

00:34:06.540 Here's how you

00:34:07.100 can tell.

00:34:07.960 Those of you

00:34:08.560 who have been

00:34:08.820 triggered into

00:34:09.360 cognitive dissonance

00:34:10.540 if in fact that's

00:34:12.300 what's happening.

00:34:12.940 It looks like it.

00:34:13.840 It looks like

00:34:14.540 really clear.

00:34:15.040 Let me say as

00:34:15.880 clearly as possible.

00:34:17.560 I really know

00:34:18.620 how to spot

00:34:19.080 cognitive dissonance.

00:34:20.920 It's been my

00:34:21.760 hobby for decades.

00:34:23.420 I really, really

00:34:24.160 am good at

00:34:24.700 spotting it, I

00:34:25.400 think, in other

00:34:26.440 people.

00:34:27.400 Again, nobody

00:34:28.240 can spot it in

00:34:29.040 themselves.

00:34:30.300 But I would say

00:34:31.020 that I'm as close

00:34:32.240 as you can get

00:34:32.840 to an expert as

00:34:33.760 spotting it in the

00:34:34.620 wild.

00:34:36.020 And this is

00:34:36.580 definitely it.

00:34:39.180 If I'm wrong

00:34:40.040 about this, I'm

00:34:40.700 wrong about

00:34:41.100 everything.

00:34:42.300 This is

00:34:43.040 cognitive dissonance.

00:34:44.080 Now, here's

00:34:45.180 how you can

00:34:45.520 tell.

00:34:46.940 Most of you

00:34:47.760 will misinterpret

00:34:49.200 what I'm

00:34:49.780 saying.

00:34:51.040 You're going to

00:34:51.740 interpret it as

00:34:52.520 being pro-vaccination.

00:34:54.500 Nope.

00:34:55.540 Nope.

00:34:56.220 I did not say

00:34:57.000 that.

00:34:58.000 I never

00:34:58.620 encourage you to

00:34:59.300 get vaccinated.

00:34:59.960 Hear it clearly.

00:35:00.840 But many of you

00:35:01.520 will think that's

00:35:02.100 exactly what you

00:35:02.860 heard.

00:35:03.640 Some of you

00:35:04.220 will think that

00:35:06.020 I said the

00:35:06.540 vaccinations stop

00:35:08.740 all spread.

00:35:10.220 Nope.

00:35:11.020 Nope.

00:35:11.540 Never said that.

00:35:12.640 Said the opposite.

00:35:13.320 So watch how

00:35:15.360 the people who

00:35:16.040 think they're

00:35:16.620 disagreeing with

00:35:17.380 me are going

00:35:18.440 to be disagreeing

00:35:19.420 with an illusion

00:35:20.800 of what I

00:35:21.420 said.

00:35:22.620 And they're

00:35:22.980 going to be

00:35:23.360 positive they're

00:35:24.440 right because

00:35:25.580 they're accurately

00:35:26.560 disagreeing with

00:35:27.440 an illusion.

00:35:28.660 But they're not

00:35:29.280 disagreeing with

00:35:29.920 me.

00:35:31.060 And the ones

00:35:31.840 in all caps,

00:35:33.460 all the people

00:35:34.120 in all caps are

00:35:34.880 in cognitive

00:35:35.400 dissonance.

00:35:36.100 I guarantee

00:35:36.540 that.

00:35:36.900 I can promise

00:35:39.080 you that.

00:35:39.660 The all caps

00:35:40.320 people are

00:35:41.420 having an

00:35:41.900 experience that

00:35:42.960 their world is

00:35:43.840 blowing up right

00:35:44.460 now.

00:35:46.000 All right.

00:35:49.220 I think that's

00:35:50.200 enough on that

00:35:50.820 topic.

00:35:51.360 Way too much.

00:35:53.300 So Beyonce is 1.00

00:35:54.620 in a commercial

00:35:55.160 for Tiffany.

00:35:57.360 And apparently

00:35:59.020 they turned her 0.76

00:35:59.740 white.

00:36:00.120 Now I don't 0.83

00:36:02.500 know what the

00:36:02.880 real story is,

00:36:03.980 but in the

00:36:04.720 video her skin

00:36:05.560 is lightened

00:36:06.280 to the point

00:36:06.980 where it would

00:36:08.000 be hard to

00:36:08.500 detect if she

00:36:09.440 has any

00:36:09.880 African-American

00:36:10.700 influence.

00:36:13.180 And it looks

00:36:14.960 like it's

00:36:15.320 lightened to

00:36:15.780 me.

00:36:16.740 I mean I

00:36:17.040 don't know if

00:36:17.400 it's makeup

00:36:17.940 or the camera

00:36:18.880 work, but

00:36:19.680 she's sitting

00:36:20.120 next to Jay-Z

00:36:21.040 who looks

00:36:22.240 exactly like

00:36:22.900 Jay-Z.

00:36:24.240 Like he doesn't

00:36:24.840 look like he's

00:36:25.340 been lightened.

00:36:26.820 Well she sure

00:36:27.480 did.

00:36:28.920 And I think

00:36:29.740 Tiffany's going

00:36:30.340 to have some

00:36:30.720 explaining to

00:36:31.480 do on that.

00:36:36.900 Rasmussen

00:36:37.340 asked, how

00:36:38.060 confident are

00:36:38.760 you that Joe

00:36:39.260 Biden is

00:36:39.740 physically and

00:36:40.480 mentally up to

00:36:41.060 the job of

00:36:41.720 president?

00:36:42.580 What do you

00:36:42.900 think people

00:36:43.320 said?

00:36:45.600 Here's what

00:36:46.180 they said.

00:36:48.660 41% are

00:36:49.960 either very

00:36:50.520 confident or

00:36:51.320 somewhat confident

00:36:52.260 that Joe

00:36:53.020 Biden is up to

00:36:53.800 it physically

00:36:54.380 and mentally.

00:36:55.720 41%.

00:36:56.120 That's pretty

00:36:56.520 high, isn't

00:36:56.960 it?

00:36:58.380 Yeah.

00:36:59.000 How many

00:36:59.440 of them

00:36:59.760 were very

00:37:00.440 confident?

00:37:02.320 Very

00:37:02.680 confident.

00:37:03.100 Not somewhat

00:37:03.600 confident, but

00:37:04.220 very confident.

00:37:06.180 And so it's

00:37:06.660 within the

00:37:07.140 41%.

00:37:08.040 The very

00:37:09.160 confidence were

00:37:09.760 27%.

00:37:11.040 Huh.

00:37:15.860 27% are

00:37:18.020 very confident.

00:37:19.880 Very confident

00:37:20.660 that Joe

00:37:21.380 Biden's 100%.

00:37:22.440 25%.

00:37:23.160 Yeah, I'm

00:37:26.320 laughing because

00:37:27.000 the regular

00:37:27.720 viewers know

00:37:29.260 I always point

00:37:29.900 out that every

00:37:30.560 poll seems to

00:37:32.380 have 25% of 1.00

00:37:33.540 morons. 1.00

00:37:34.760 You'd have to 1.00

00:37:35.680 be a fucking 1.00

00:37:36.600 moron to 1.00

00:37:37.880 think that 1.00

00:37:38.380 Joe Biden

00:37:39.040 is right on

00:37:40.680 the ball.

00:37:41.960 Now, I'm

00:37:42.460 okay with the

00:37:43.000 people who say

00:37:43.700 they're somewhat

00:37:44.480 confident.

00:37:46.100 Somewhat

00:37:46.620 confident, I

00:37:47.280 think that's

00:37:48.960 enough of a

00:37:49.660 hedge.

00:37:49.960 I'll give

00:37:50.840 you that.

00:37:51.580 That just

00:37:52.220 sounds like

00:37:52.580 somebody who

00:37:53.020 prefers their

00:37:54.340 person in the

00:37:55.220 office.

00:37:56.540 But 58% were

00:37:58.360 not confident

00:38:00.060 in Joe Biden

00:38:01.880 one way or the

00:38:03.300 other, strongly

00:38:04.060 or weakly, not

00:38:05.760 confident.

00:38:06.640 And 2% were

00:38:07.660 unsure.

00:38:10.080 2% were

00:38:11.220 unsure.

00:38:11.660 Can't we

00:38:13.660 add them to

00:38:14.320 the not so

00:38:14.880 sure that he's

00:38:16.180 If you're

00:38:17.480 unsure, shouldn't

00:38:19.540 you have

00:38:19.860 answered that

00:38:20.380 you're not

00:38:20.740 confident?

00:38:22.160 What does

00:38:22.860 unsure mean?

00:38:24.600 So apparently

00:38:25.100 we found the

00:38:25.820 2% who are 1.00

00:38:27.060 the dumbest 0.99

00:38:27.560 people in 1.00

00:38:29.600 the world.

00:38:31.720 If you're

00:38:32.460 unsure, you're

00:38:34.320 unsure.

00:38:36.160 Apparently they

00:38:36.920 don't know what

00:38:37.480 confident means.

00:38:38.960 Are you

00:38:39.180 confident?

00:38:39.740 No, I'm

00:38:40.080 unsure.

00:38:40.420 Okay, so

00:38:41.500 you're not

00:38:41.820 confident?

00:38:42.520 No, I

00:38:43.580 didn't say

00:38:43.840 that, I

00:38:44.200 just said

00:38:44.480 I'm

00:38:44.620 unsure.

00:38:46.660 Oh, well.

00:38:49.500 Rasmussen

00:38:50.020 also asked,

00:38:50.860 is Biden

00:38:51.180 doing the

00:38:51.640 job of

00:38:52.440 president or

00:38:53.160 others making

00:38:53.940 the decision

00:38:54.580 for him?

00:38:56.160 How do you

00:38:56.680 think this

00:38:57.020 went?

00:38:58.140 53% say

00:38:59.600 others are

00:39:00.160 making the

00:39:00.620 decision.

00:39:02.120 You realize

00:39:02.820 that must

00:39:03.400 include at

00:39:04.260 least a

00:39:05.540 number of

00:39:06.060 independents

00:39:06.760 and or

00:39:07.420 Democrats to

00:39:08.600 get to

00:39:08.860 53%.

00:39:09.720 38% say

00:39:12.520 he is

00:39:12.840 doing the

00:39:13.220 job.

00:39:15.120 Okay.

00:39:17.040 So Ron

00:39:17.620 DeSantis

00:39:18.000 is opening

00:39:19.860 up some

00:39:20.300 ports in

00:39:20.820 Florida to

00:39:23.180 help ease

00:39:23.820 the backlog

00:39:24.280 in California.

00:39:25.280 So it turns

00:39:27.160 out that all

00:39:27.700 these problems

00:39:28.340 that they have

00:39:28.820 in California,

00:39:30.040 I guess they

00:39:31.380 don't have

00:39:31.680 them in

00:39:31.920 Florida.

00:39:32.180 So does

00:39:35.260 that give

00:39:36.380 you any

00:39:36.740 pause?

00:39:38.420 Do you

00:39:38.980 think the

00:39:39.360 truck drivers

00:39:40.080 in Florida

00:39:41.460 are more

00:39:42.060 pro-vaccination?

00:39:44.380 Do they do

00:39:45.040 fewer hits

00:39:47.180 of meth

00:39:47.680 in Florida?

00:39:51.200 Can they

00:39:51.900 get better

00:39:52.700 truck parts

00:39:54.160 in Florida?

00:39:56.460 There are more

00:39:57.060 trucks?

00:39:57.420 I don't

00:40:00.000 know.

00:40:00.480 None of

00:40:00.880 this is

00:40:01.220 quite fitting,

00:40:01.860 is it?

00:40:02.600 Now, I'm

00:40:03.040 not so sure

00:40:03.680 that whatever

00:40:04.580 Ron DeSantis

00:40:05.400 is going to

00:40:06.000 do in

00:40:06.280 Florida will 0.81

00:40:07.260 make that

00:40:07.780 much difference.

00:40:08.820 So it

00:40:09.100 might be a

00:40:09.640 slight uptick.

00:40:11.820 So he

00:40:12.020 might be

00:40:12.320 making more

00:40:12.980 political hay

00:40:13.780 out of it

00:40:14.180 than is

00:40:15.060 really warranted.

00:40:16.120 But let me

00:40:16.580 say this

00:40:17.080 about that.

00:40:18.500 Ron DeSantis

00:40:19.240 surfs the

00:40:21.360 headlines and

00:40:23.280 the zeitgeist

00:40:24.080 better than

00:40:25.560 I've ever

00:40:25.980 seen.

00:40:27.140 Apparently he

00:40:27.980 has a

00:40:28.620 political

00:40:29.140 strategy that

00:40:30.080 I consider

00:40:30.860 brilliant.

00:40:32.800 This is just

00:40:33.660 one of the

00:40:34.120 best things

00:40:34.620 I've ever

00:40:35.140 seen.

00:40:35.580 And you

00:40:36.220 don't really

00:40:36.560 get a sense

00:40:37.040 of it until

00:40:37.380 you see how

00:40:38.860 consistent he

00:40:39.660 is over time.

00:40:40.920 Which is that

00:40:41.880 there's some

00:40:42.320 national story

00:40:43.360 of interest and

00:40:44.880 that he finds

00:40:45.600 the populist

00:40:46.860 way to

00:40:47.400 approach it.

00:40:48.560 Or the

00:40:48.980 helpful way or

00:40:49.820 the smart way or

00:40:50.760 the scientific

00:40:51.340 way or the

00:40:52.920 better strategy

00:40:54.960 protecting the

00:40:56.080 old people 0.85

00:40:56.560 first.

00:40:57.700 Whatever.

00:40:58.740 So he's just

00:40:59.540 the master of

00:41:00.540 inserting himself

00:41:01.380 into the story

00:41:02.100 that's already

00:41:02.600 there.

00:41:03.820 He can insert

00:41:04.880 himself into

00:41:05.600 any story and

00:41:07.360 make himself look

00:41:08.180 like the only

00:41:08.700 smart person in

00:41:09.540 the room.

00:41:11.200 Over and over

00:41:12.520 again.

00:41:13.520 This is

00:41:14.000 brilliant.

00:41:15.560 Political.

00:41:16.700 Now again,

00:41:17.660 I don't know if

00:41:18.180 any of the

00:41:18.580 things he's

00:41:19.140 doing make

00:41:20.200 any difference

00:41:20.700 at all.

00:41:21.540 I really

00:41:22.280 don't.

00:41:22.920 I don't even

00:41:23.740 have much of

00:41:24.360 an opinion on

00:41:25.000 the specifics

00:41:25.620 of his

00:41:26.080 policies.

00:41:27.240 I'm just

00:41:27.880 saying that I've

00:41:28.380 never seen

00:41:28.740 anybody do

00:41:29.300 politics better

00:41:30.140 than this.

00:41:31.300 This is the

00:41:31.760 best politics

00:41:32.520 I've ever

00:41:32.920 seen.

00:41:33.740 This is better

00:41:34.300 than Trump.

00:41:36.240 Sorry.

00:41:38.400 Because Trump

00:41:39.220 causes trouble

00:41:40.460 to get

00:41:41.840 attention and

00:41:42.460 it's very

00:41:42.760 successful,

00:41:43.420 made him

00:41:43.660 president,

00:41:44.220 right?

00:41:45.740 But if

00:41:46.340 Trump didn't

00:41:46.900 exist,

00:41:49.760 DeSantis

00:41:50.140 would walk

00:41:50.760 into the

00:41:51.160 nomination.

00:41:51.600 he would

00:41:53.060 just walk

00:41:53.600 into the

00:41:53.960 nomination.

00:41:54.460 Don't you

00:41:54.700 think?

00:41:56.240 Like, who

00:41:56.740 would it be

00:41:57.080 if it's

00:41:57.360 not DeSantis?

00:42:00.660 It's just

00:42:01.220 a great

00:42:01.540 strategy.

00:42:03.820 All right,

00:42:04.360 Neil Cavuto,

00:42:05.420 you know him

00:42:06.400 from Fox

00:42:06.940 News,

00:42:07.260 has COVID.

00:42:10.180 Now,

00:42:10.580 can somebody

00:42:12.940 give me a

00:42:13.360 fact check?

00:42:13.840 I know that

00:42:15.020 Neil Cavuto

00:42:15.580 has quite

00:42:16.160 publicly

00:42:16.920 struggled with

00:42:18.020 his weight

00:42:18.700 for a long

00:42:19.640 time.

00:42:20.460 But in

00:42:20.940 current pictures,

00:42:21.840 he looks like

00:42:22.280 he lost a

00:42:22.760 bunch of

00:42:23.000 weight.

00:42:24.560 Did he

00:42:25.080 succeed?

00:42:26.020 Yes, and

00:42:26.680 you're saying

00:42:27.220 he also has

00:42:28.320 multiple

00:42:30.120 sclerosis.

00:42:31.620 He's

00:42:31.840 battled with

00:42:32.580 that for

00:42:32.840 years, I

00:42:33.220 guess.

00:42:34.140 But it

00:42:34.700 looked like

00:42:35.420 he lost a

00:42:37.300 bunch of

00:42:37.640 weight.

00:42:37.960 Can you

00:42:38.220 confirm that?

00:42:38.760 Oh, I've

00:42:43.580 really come

00:42:43.940 around on

00:42:44.320 DeSantis?

00:42:45.020 Well, he's

00:42:45.640 still not

00:42:46.020 exciting, but 0.99

00:42:46.820 damn, he's 0.99

00:42:47.860 good at 1.00

00:42:48.280 this stuff.

00:42:53.800 Yeah, so

00:42:54.440 I'm seeing at

00:42:55.100 least one

00:42:55.540 confirmation

00:42:56.000 there.

00:42:56.800 But good

00:42:57.240 for him.

00:42:57.860 So the

00:42:58.140 first part

00:42:58.580 is if he

00:43:00.280 lost a

00:43:00.840 bunch of

00:43:01.180 weight during

00:43:01.580 the pandemic

00:43:02.160 and he

00:43:02.660 did it for

00:43:03.320 all the

00:43:03.640 right reasons,

00:43:05.260 good for

00:43:05.680 him.

00:43:06.580 He may

00:43:06.940 have saved

00:43:07.780 his own

00:43:08.120 life.

00:43:08.460 Now, he

00:43:08.940 was vaccinated

00:43:09.520 too, so

00:43:10.180 he'll probably

00:43:10.840 be fine.

00:43:11.940 But I'd

00:43:14.060 just like to

00:43:14.440 call out

00:43:14.940 anybody who

00:43:15.700 did the

00:43:16.120 right thing

00:43:16.580 during the

00:43:17.000 pandemic.

00:43:18.080 And the

00:43:18.620 right thing

00:43:19.040 was to

00:43:19.400 get fit.

00:43:20.500 If you

00:43:21.000 didn't do

00:43:21.360 that, you

00:43:22.720 played the

00:43:23.160 pandemic really

00:43:23.860 wrong.

00:43:24.660 And if you

00:43:25.080 didn't add

00:43:25.540 any skills

00:43:26.260 while you

00:43:26.740 had a

00:43:27.640 weird opening

00:43:28.360 to do it,

00:43:29.160 you played

00:43:29.900 it wrong.

00:43:30.940 It looks

00:43:31.360 like he

00:43:31.660 might have

00:43:31.920 played it

00:43:32.220 right if

00:43:32.540 he lost

00:43:32.860 weight.

00:43:33.800 Tentatively,

00:43:34.440 that's my

00:43:35.120 guess.

00:43:36.600 And he's

00:43:38.440 the other

00:43:39.300 thing that

00:43:39.640 makes him

00:43:40.000 kind of

00:43:40.340 important to

00:43:41.440 the story

00:43:41.920 is that he

00:43:42.680 is a

00:43:43.140 walking

00:43:43.440 comorbidity,

00:43:44.600 or people

00:43:45.000 may think

00:43:46.240 of it that

00:43:46.540 way, because

00:43:47.120 he's had

00:43:47.440 public health

00:43:48.000 problems.

00:43:48.780 Somebody said

00:43:49.240 he's a

00:43:49.600 cancer recovery

00:43:50.400 too.

00:43:51.060 I think

00:43:51.280 that's true.

00:43:51.700 So if he

00:43:54.400 does well

00:43:55.000 because he's

00:43:55.960 vaccinated,

00:43:56.640 that's going

00:43:56.940 to be a

00:43:57.180 story.

00:43:58.100 And I

00:43:58.300 think that

00:43:58.620 would be

00:43:59.140 influential.

00:44:02.780 All right.

00:44:04.500 CNN has

00:44:05.320 good context

00:44:06.140 for a

00:44:06.760 change.

00:44:07.460 You're

00:44:07.760 going to

00:44:07.880 hate this.

00:44:09.360 This is

00:44:09.900 where I'm

00:44:10.240 going to

00:44:10.400 lose most

00:44:10.940 of you.

00:44:12.420 First of

00:44:12.920 all, CNN

00:44:13.540 has some

00:44:14.100 good context

00:44:14.840 on the

00:44:15.240 story.

00:44:15.760 I know

00:44:16.340 you don't

00:44:16.580 like that.

00:44:17.660 But when

00:44:17.940 you hear it,

00:44:18.620 you're not

00:44:19.020 going to

00:44:19.160 like this

00:44:19.540 at all.

00:44:19.840 And you're

00:44:23.200 also going

00:44:23.640 to say

00:44:23.940 that all

00:44:24.320 the numbers

00:44:24.780 in the

00:44:25.120 story are

00:44:25.560 wrong.

00:44:26.380 All right.

00:44:26.800 You ready?

00:44:28.680 How many

00:44:29.320 people, let

00:44:29.840 me do a

00:44:30.180 test with

00:44:30.600 you, how

00:44:30.920 many people

00:44:31.460 are confirmed?

00:44:33.200 Now, confirmed

00:44:33.860 is the

00:44:34.600 operative word

00:44:35.680 here.

00:44:36.340 How many

00:44:36.740 are confirmed

00:44:37.860 to have

00:44:39.160 died in the

00:44:39.760 United States

00:44:40.320 from the

00:44:40.900 vaccination

00:44:41.380 itself?

00:44:42.380 Let's call

00:44:42.860 it the

00:44:43.340 COVID shot,

00:44:44.220 not a

00:44:44.520 vaccination.

00:44:45.680 How many

00:44:46.120 people in

00:44:46.600 the United

00:44:46.860 States have

00:44:48.180 died in

00:44:48.700 the entire

00:44:49.100 pandemic,

00:44:49.840 so far

00:44:51.240 from the

00:44:52.080 shot?

00:44:54.200 Go.

00:44:56.780 Zero

00:44:57.340 is wrong.

00:44:58.780 Three?

00:44:59.780 Somebody

00:45:00.220 says three.

00:45:01.740 Really?

00:45:03.040 15,000,

00:45:04.080 I'm saying

00:45:04.400 thousands.

00:45:06.300 Now, I'm

00:45:07.280 talking confirmed,

00:45:08.300 remember?

00:45:09.320 So those of

00:45:09.920 you who are

00:45:10.180 guessing

00:45:10.440 thousands,

00:45:11.220 you know

00:45:11.480 those are

00:45:11.800 not thousands

00:45:12.300 that are

00:45:12.660 confirmed.

00:45:13.760 So just

00:45:14.460 confirmed.

00:45:16.480 I'm saying

00:45:16.920 30, 17,

00:45:18.100 2,000,

00:45:18.940 less than

00:45:19.300 10,

00:45:19.580 less than

00:45:20.020 100,

00:45:20.980 18,000,

00:45:22.680 25,000,

00:45:24.140 666,

00:45:25.420 52,

00:45:27.620 maybe 10.

00:45:29.540 Here's the

00:45:30.340 number that

00:45:31.000 CNN reports.

00:45:35.140 Three.

00:45:35.780 Three.

00:45:37.320 Three.

00:45:38.020 Does that

00:45:40.380 match your

00:45:41.020 assumption?

00:45:42.600 Do you

00:45:43.940 believe that

00:45:44.420 three people

00:45:45.980 are confirmed?

00:45:47.600 It doesn't

00:45:48.340 mean only

00:45:48.680 three,

00:45:49.340 just confirmed.

00:45:50.860 Do you

00:45:51.100 believe that?

00:45:52.640 That's what

00:45:53.040 CNN is reporting.

00:45:54.060 How about that

00:45:54.640 VAERS database?

00:45:56.400 Because you know

00:45:56.900 there's all kinds of

00:45:57.600 stuff in there,

00:45:58.160 right?

00:45:58.340 That's where people

00:45:59.080 report the bad

00:45:59.920 reactions to

00:46:00.720 vaccinations.

00:46:02.540 Here's the

00:46:05.180 second question.

00:46:08.600 How many

00:46:09.380 deaths are

00:46:10.860 reported to

00:46:11.640 VAERS?

00:46:12.180 Remember,

00:46:12.640 there are three

00:46:13.080 that are

00:46:13.420 confirmed,

00:46:14.640 but how many

00:46:15.100 have been

00:46:15.340 reported to

00:46:16.200 VAERS?

00:46:16.680 Go.

00:46:17.640 The VAERS

00:46:18.140 says how many

00:46:18.760 people died

00:46:19.340 from the

00:46:19.800 COVID shot?

00:46:21.780 Go.

00:46:23.700 How many?

00:46:24.640 I see

00:46:25.040 thousands,

00:46:25.940 thousands.

00:46:26.300 Anybody?

00:46:28.460 YouTube?

00:46:30.600 42,000?

00:46:34.100 14,000?

00:46:35.960 3.5 trillion?

00:46:37.760 Good guess,

00:46:38.660 but wrong.

00:46:39.760 Three.

00:46:40.620 The answer

00:46:41.420 is 8,600.

00:46:43.660 So 8,600

00:46:44.860 deaths have

00:46:45.560 been reported

00:46:46.080 to the

00:46:46.800 VAERS

00:46:47.740 database.

00:46:49.240 Three have

00:46:50.220 been confirmed.

00:46:52.080 Three.

00:46:53.480 Now,

00:46:54.040 is the

00:46:54.360 problem

00:46:54.740 that we're

00:46:56.140 really,

00:46:56.660 really slow

00:46:57.100 at confirming

00:46:57.740 things,

00:46:58.840 or is the

00:46:59.540 problem

00:46:59.800 that they're

00:47:01.720 not real?

00:47:03.440 I don't

00:47:03.780 know.

00:47:04.400 Suppose

00:47:04.780 they're real.

00:47:06.100 Suppose

00:47:06.420 every death

00:47:07.640 reported to

00:47:08.460 VAERS was

00:47:09.000 real.

00:47:09.940 How bad

00:47:10.480 would that

00:47:10.840 be?

00:47:12.900 If every

00:47:13.840 death reported

00:47:14.540 to VAERS

00:47:15.020 was real,

00:47:15.840 and that

00:47:16.280 seems deeply

00:47:17.000 unlikely,

00:47:18.080 if they were

00:47:18.560 all real,

00:47:19.480 would that

00:47:19.780 tell you

00:47:20.220 that,

00:47:20.880 and that's

00:47:21.280 all you

00:47:21.520 knew,

00:47:22.120 would that

00:47:22.420 tell you

00:47:22.680 to get 0.99

00:47:22.920 the shot

00:47:23.400 or not?

00:47:26.140 Here's your

00:47:26.460 next question.

00:47:27.460 If 8,600

00:47:28.300 people died,

00:47:29.400 and if that

00:47:29.920 were real,

00:47:30.640 and we all

00:47:31.120 know that's

00:47:31.540 not real,

00:47:32.000 but if it

00:47:32.420 were real,

00:47:33.300 would that

00:47:33.720 tell you

00:47:34.160 not to

00:47:34.600 get the

00:47:34.920 shot?

00:47:37.600 Somebody

00:47:38.020 says yes.

00:47:39.500 I see

00:47:40.100 some no's.

00:47:41.560 I see

00:47:41.840 some yeses.

00:47:43.040 Yeses.

00:47:44.160 All right.

00:47:44.580 Well, here's

00:47:44.980 how you

00:47:45.340 could have

00:47:45.740 seen that

00:47:46.160 in context.

00:47:48.480 390 million

00:47:51.980 doses have

00:47:52.700 been administered,

00:47:54.100 and that

00:47:54.380 amounts to

00:47:54.980 .0021%,

00:47:57.960 or about

00:47:59.220 two deaths

00:48:00.040 for every

00:48:00.640 100,000

00:48:01.420 doses,

00:48:02.800 which is

00:48:03.940 way less

00:48:05.520 than how

00:48:07.500 many people

00:48:07.960 die of

00:48:08.400 COVID.

00:48:12.800 Remember,

00:48:13.480 the all-caps

00:48:14.040 people are

00:48:14.540 always in

00:48:15.060 cognitive dissonance,

00:48:16.360 so if you're

00:48:17.020 going to type

00:48:17.360 in all-caps,

00:48:17.900 just know I'm

00:48:18.620 calling you

00:48:18.980 out.

00:48:19.960 All right.

00:48:20.780 So this is

00:48:21.940 CNN's reporting,

00:48:22.800 by the way.

00:48:23.080 This is not

00:48:23.520 me saying

00:48:24.160 any of this.

00:48:25.220 So according

00:48:25.640 to CNN,

00:48:27.460 if you

00:48:28.060 looked at

00:48:28.620 all the

00:48:29.040 doses given,

00:48:30.840 there are

00:48:31.780 only two

00:48:32.800 deaths for

00:48:33.200 every 100,000,

00:48:34.180 but how

00:48:35.020 many COVID

00:48:35.560 deaths are

00:48:36.100 there for

00:48:36.660 every 100,000?

00:48:38.340 So this is

00:48:39.040 CNN.

00:48:39.820 Two deaths

00:48:40.460 from every

00:48:41.640 100,000 doses,

00:48:42.780 even if the

00:48:43.360 VAERS database

00:48:44.000 is correct.

00:48:44.880 It would only

00:48:45.780 be two for

00:48:46.400 every 100,000.

00:48:47.060 How many

00:48:47.860 does COVID

00:48:48.500 kill out

00:48:49.340 of 100,000?

00:48:50.740 If it's

00:48:51.740 true that

00:48:52.180 the vaccination

00:48:52.660 is two,

00:48:53.780 how many

00:48:54.120 does COVID

00:48:54.720 kill?

00:48:56.280 220. 0.82

00:48:58.680 Right?

00:48:59.620 That's 100

00:49:00.540 times worse.

00:49:03.760 Two versus

00:49:05.280 over 200.

00:49:07.340 So if these

00:49:08.460 numbers were

00:49:08.960 right, even

00:49:09.960 if the VAERS

00:49:10.640 database was

00:49:11.820 accurate, and

00:49:12.720 you know it

00:49:13.120 isn't, it's

00:49:13.720 way, way

00:49:14.300 high.

00:49:14.560 Well, it

00:49:15.500 could be

00:49:15.720 low, I

00:49:16.000 suppose, but

00:49:16.500 you know

00:49:16.700 it's not

00:49:16.980 accurate.

00:49:19.100 According to

00:49:19.660 these numbers,

00:49:20.200 it would be

00:49:20.520 100 times

00:49:21.280 smarter to

00:49:21.900 get the

00:49:22.340 vaccination if

00:49:23.800 this was the

00:49:24.320 only criteria,

00:49:25.180 and it's

00:49:25.420 not, right?

00:49:26.440 I get it,

00:49:27.400 there are

00:49:27.580 other criteria.

00:49:29.000 But if this

00:49:29.500 were the only

00:49:29.940 criteria, the

00:49:30.780 VAERS database

00:49:31.620 risk versus

00:49:33.000 the COVID

00:49:33.900 risk itself,

00:49:35.200 it wouldn't

00:49:35.580 even be

00:49:35.960 close.

00:49:36.300 It would be

00:49:38.180 100 to 1.

00:49:40.280 Cassandra says,

00:49:41.060 Scott, you

00:49:41.540 were in

00:49:41.780 deep

00:49:42.000 dissonance,

00:49:43.240 and I

00:49:44.080 wouldn't

00:49:44.340 know.

00:49:45.820 So if you

00:49:46.700 believe that

00:49:47.180 the problem

00:49:47.600 is my end,

00:49:48.960 let me say

00:49:50.220 as clearly as

00:49:50.860 possible, I

00:49:51.380 wouldn't know.

00:49:52.440 That's what

00:49:52.880 cognitive

00:49:53.360 dissonance

00:49:53.900 does.

00:49:54.620 But if the

00:49:55.120 problem was

00:49:55.480 on your

00:49:55.860 end, you

00:49:57.280 wouldn't

00:49:57.540 know.

00:49:58.900 Can we

00:49:59.440 agree on

00:49:59.800 that?

00:50:00.800 If the

00:50:01.340 problem's on

00:50:01.720 your end, you

00:50:02.300 don't know.

00:50:03.080 If the

00:50:03.380 problem's on

00:50:03.740 my end, I

00:50:04.240 don't know.

00:50:04.640 That's what it

00:50:05.060 is.

00:50:05.280 That's the

00:50:05.640 definition of

00:50:06.280 cognitive

00:50:06.640 dissonance.

00:50:08.460 All right, so

00:50:09.380 I'm not

00:50:09.900 suggesting that

00:50:10.620 you should

00:50:10.880 get vaccinated.

00:50:11.760 Can I say

00:50:12.600 that?

00:50:13.500 I'm not

00:50:14.140 suggesting that

00:50:15.000 you get

00:50:15.260 vaccinated, nor

00:50:16.480 am I

00:50:16.780 suggesting that

00:50:17.360 you don't.

00:50:19.400 Do you

00:50:19.700 know why?

00:50:21.400 Why the

00:50:22.060 hell would 0.95

00:50:22.580 you take my 0.84

00:50:23.340 advice to

00:50:24.260 get vaccinated?

00:50:25.820 Can you

00:50:26.160 think of 1.00

00:50:26.440 anything dumber 0.99

00:50:26.940 than that? 0.98

00:50:28.980 Well, I

00:50:29.460 mean, seriously,

00:50:30.020 what would 0.99

00:50:30.280 be dumber than 0.98

00:50:30.940 taking my 1.00

00:50:31.480 advice on

00:50:32.440 your medical

00:50:33.120 situation?

00:50:35.180 Right?

00:50:35.500 I mean, I'll

00:50:35.900 tell you to

00:50:36.420 drink coffee and

00:50:37.660 exercise.

00:50:38.940 You know, I

00:50:39.300 feel safe about

00:50:39.980 that.

00:50:40.620 But don't

00:50:41.180 take my

00:50:41.720 advice, and

00:50:42.780 don't let me

00:50:43.200 persuade you in

00:50:44.040 any way.

00:50:44.540 And also, don't

00:50:45.320 believe anything

00:50:45.900 this CNN

00:50:46.380 reports.

00:50:46.980 I'm reading

00:50:47.340 CNN's report.

00:50:48.760 Let me give

00:50:49.260 you an example

00:50:49.800 of how bad

00:50:50.520 this CNN

00:50:51.000 data is.

00:50:51.720 You ready?

00:50:52.600 And I know

00:50:53.020 if Andres is

00:50:54.140 watching this,

00:50:54.760 he's already

00:50:55.560 screaming at

00:50:56.760 his screen.

00:50:58.120 I read this,

00:50:59.180 and you

00:50:59.460 probably missed

00:51:00.380 it.

00:51:01.240 But it said

00:51:01.900 it would be

00:51:02.260 390 million

00:51:03.420 doses administered.

00:51:04.460 they're actually

00:51:06.380 calculating the

00:51:07.420 deaths on

00:51:09.160 doses versus

00:51:11.260 people.

00:51:13.680 What?

00:51:15.020 So they're

00:51:15.780 acting as

00:51:16.340 though your

00:51:17.300 risk per dose

00:51:19.140 is the one

00:51:19.760 that you're

00:51:20.180 looking at,

00:51:21.020 not your risk

00:51:21.680 of being

00:51:22.100 vaccinated versus

00:51:23.620 not being

00:51:24.100 vaccinated.

00:51:24.520 Now, it's

00:51:29.000 not crazy to

00:51:30.100 do that,

00:51:30.940 because your

00:51:31.760 death probably

00:51:32.680 does follow a

00:51:33.640 specific dose.

00:51:35.360 But it's not

00:51:36.020 going to follow

00:51:36.520 the second one,

00:51:37.420 is it?

00:51:38.400 How many people

00:51:39.160 died when they

00:51:39.880 got the second

00:51:40.640 dose?

00:51:43.520 Zero?

00:51:46.080 Maybe?

00:51:47.440 Do you think

00:51:48.140 that people

00:51:48.760 lived through

00:51:50.300 the first dose,

00:51:51.880 and then the

00:51:52.920 second or the

00:51:53.640 third one took

00:51:54.300 them out?

00:51:55.520 I don't think

00:51:56.060 so.

00:51:56.980 I don't think

00:51:57.520 so.

00:51:58.140 So this is

00:51:58.920 off by at

00:51:59.460 least 100%.

00:52:00.400 So CNN's

00:52:02.240 numbers are

00:52:02.740 off by at

00:52:03.380 least 100%.

00:52:04.360 And it still

00:52:06.180 makes the

00:52:06.600 case.

00:52:07.480 Let me say

00:52:07.940 it again.

00:52:09.100 CNN numbers

00:52:09.960 are probably

00:52:10.560 off by 100%,

00:52:11.780 and it still

00:52:13.560 makes the

00:52:14.040 case that it's

00:52:14.880 way smarter

00:52:15.720 to get

00:52:16.240 vaccinated than

00:52:17.560 not.

00:52:17.760 Not even

00:52:18.060 close.

00:52:19.100 Even if their

00:52:19.700 numbers are

00:52:20.100 off by 100%.

00:52:21.100 Even if the

00:52:22.380 VAERS is

00:52:22.860 off by

00:52:23.380 1,000%.

00:52:25.860 It's still,

00:52:28.140 according to

00:52:28.520 their numbers,

00:52:29.660 way smarter to

00:52:30.680 get vaccinated.

00:52:32.120 That's not me

00:52:32.860 saying.

00:52:33.320 I'm talking about

00:52:33.960 what other people

00:52:34.540 are saying.

00:52:36.540 Only in the

00:52:37.260 short term,

00:52:37.800 somebody says.

00:52:38.320 Yes.

00:52:38.820 So if you were

00:52:39.480 looking at your

00:52:40.060 full risk of

00:52:41.480 getting the

00:52:43.260 shots versus

00:52:43.880 not, you would

00:52:44.380 have to look at

00:52:44.900 the long term.

00:52:45.920 That's still

00:52:46.360 unknown.

00:52:46.780 So as

00:52:48.320 clearly as I

00:52:49.060 can say it,

00:52:49.700 let me

00:52:49.980 summarize again

00:52:50.760 that I'm not

00:52:51.620 telling you it's

00:52:52.680 risk-free or

00:52:53.680 risky.

00:52:54.560 I don't know.

00:52:55.540 Don't listen to

00:52:56.120 me.

00:52:56.700 I'm just telling

00:52:57.360 you that you

00:52:57.920 might be looking

00:52:58.480 at the wrong

00:52:59.000 stuff to make

00:52:59.720 your decision.

00:53:01.300 Wouldn't you

00:53:01.680 rather look at

00:53:02.240 the right stuff?

00:53:03.540 I mean, if you

00:53:03.980 don't want to get

00:53:04.420 the vaccination,

00:53:05.140 you have plenty

00:53:05.780 of argument.

00:53:07.460 Plenty of

00:53:08.080 argument.

00:53:09.140 You don't need

00:53:09.760 the bad

00:53:10.100 arguments.

00:53:11.160 So don't use

00:53:11.760 the VAERS

00:53:12.180 database as your

00:53:12.960 argument because

00:53:13.480 that's a bad

00:53:13.940 argument.

00:53:15.060 Here's a good

00:53:15.620 argument.

00:53:15.940 You want a good

00:53:16.460 argument for not

00:53:17.200 getting vaccinated?

00:53:18.340 Again, this is not

00:53:19.200 me advising it, but

00:53:21.120 I will advise you

00:53:21.940 what a good

00:53:22.440 argument looks

00:53:23.080 like.

00:53:24.400 A good argument

00:53:25.460 looks like I'm

00:53:26.640 young and healthy

00:53:27.340 and I don't

00:53:30.000 trust the

00:53:30.440 government or

00:53:31.520 anything they say

00:53:32.280 about the

00:53:32.680 vaccinations, so

00:53:34.420 therefore none of

00:53:35.360 the data, pro or

00:53:36.640 con, is useful to

00:53:37.980 me because I don't

00:53:39.100 trust any of it

00:53:39.900 and nobody knows

00:53:41.460 what will happen

00:53:41.920 in the long term.

00:53:42.640 That's your best

00:53:46.160 argument.

00:53:47.900 As soon as you

00:53:48.620 depart from that

00:53:49.440 into statistics,

00:53:50.920 you're just wrong.

00:53:52.840 You're just wrong

00:53:53.760 because the

00:53:54.700 statistics all come

00:53:56.480 from official

00:53:57.100 sources.

00:53:58.400 The official

00:53:59.200 sources are all

00:53:59.960 in the same

00:54:00.280 direction.

00:54:01.740 So if you're

00:54:02.220 using any kind

00:54:02.960 of credible

00:54:03.640 official numbers,

00:54:04.740 they all point

00:54:05.560 in the same

00:54:05.900 direction and

00:54:06.960 that's not your

00:54:07.680 argument.

00:54:08.020 The argument

00:54:09.460 you can make

00:54:10.080 is subjective.

00:54:11.480 Don't use

00:54:12.140 data.

00:54:12.940 Data doesn't

00:54:13.420 work in your

00:54:13.860 favor.

00:54:14.620 But there is a

00:54:15.360 strong subjective

00:54:16.160 argument that the

00:54:17.320 people who are

00:54:17.920 recommending it

00:54:18.560 can't be trusted.

00:54:20.620 Is anything wrong

00:54:21.560 with that argument?

00:54:22.580 The people

00:54:23.040 recommending that

00:54:23.880 you put this in

00:54:24.600 your body can't

00:54:25.840 be trusted.

00:54:27.780 That's it.

00:54:29.000 You don't need

00:54:29.600 more than that.

00:54:31.060 They can't be

00:54:31.580 trusted.

00:54:32.260 If you need a

00:54:33.020 hundred examples

00:54:33.740 of why you

00:54:34.180 shouldn't trust

00:54:34.660 them, I can give

00:54:35.220 them to you.

00:54:36.160 But that's all

00:54:37.400 you need.

00:54:38.300 It's coming

00:54:39.040 from a source

00:54:39.660 I don't trust.

00:54:40.720 Period.

00:54:41.740 Hasn't been

00:54:42.320 tested in the

00:54:43.020 long term.

00:54:44.780 Why would I

00:54:45.440 take your word

00:54:45.940 for it?

00:54:47.840 Right?

00:54:50.340 So there is

00:54:51.140 a good argument

00:54:53.480 for not getting

00:54:54.240 vaccinated, but

00:54:55.020 it's not based

00:54:55.580 on statistics.

00:54:56.680 It's not based

00:54:57.200 on numbers.

00:54:58.060 There is no

00:54:58.840 numbers-based

00:54:59.660 argument for not

00:55:00.480 getting vaccinated.

00:55:01.940 Nor, you

00:55:03.060 could argue, is

00:55:03.760 there a numbers-based

00:55:04.620 argument for getting

00:55:05.540 vaccinated?

00:55:06.640 Because it's all

00:55:07.240 unreliable numbers.

00:55:09.260 But at least the

00:55:10.140 unreliable numbers

00:55:11.040 are all in the

00:55:11.420 same direction.

00:55:13.000 You know, the

00:55:13.340 official ones.

00:55:15.080 The experts are

00:55:15.880 on the roof.

00:55:17.200 Yeah.

00:55:18.920 All right.

00:55:19.520 Yeah, and if you

00:55:22.520 want to make

00:55:23.220 exceptions for this

00:55:25.560 or that, that

00:55:26.400 makes sense.

00:55:26.880 So, for those

00:55:31.100 of you who are

00:55:31.740 angry that my

00:55:32.740 opinion disagrees

00:55:33.820 with yours, it

00:55:34.600 probably doesn't.

00:55:36.380 I'm anti-mandate

00:55:37.560 because of freedom

00:55:39.240 and because you

00:55:40.060 have a choice of

00:55:40.680 getting vaccinated.

00:55:42.260 And while I do

00:55:43.240 understand the

00:55:44.120 basic concept of,

00:55:46.480 you know, the

00:55:47.880 mandate is so

00:55:48.680 we'll all be

00:55:49.420 protected from each

00:55:50.380 other, we're

00:55:51.980 dangerous to each

00:55:52.900 other all the

00:55:53.680 time.

00:55:54.040 You get that,

00:55:56.100 right?

00:55:56.960 We are all

00:55:57.900 dangerous to each

00:55:58.940 other all the

00:55:59.900 time.

00:56:00.620 If we have sex,

00:56:01.960 we're dangerous to

00:56:02.600 each other.

00:56:03.020 If we get in the

00:56:03.600 car, we buy a

00:56:04.600 gun, even though we

00:56:05.480 don't plan to shoot

00:56:06.180 anybody, it's a

00:56:07.440 gun.

00:56:08.140 So we live in a

00:56:09.280 world in which we're

00:56:09.960 all being dangerous

00:56:10.820 to people all the

00:56:11.760 time.

00:56:12.060 as long as that's

00:56:14.220 our standard, no

00:56:16.140 mandate.

00:56:18.100 Now, you know, if

00:56:19.060 this were polio, I'd

00:56:20.040 probably have a

00:56:20.660 different opinion.

00:56:21.760 But given the

00:56:23.400 specific nature of

00:56:24.960 this pandemic, I

00:56:27.840 don't see the

00:56:28.320 argument for the

00:56:28.980 I don't see the

00:56:30.020 argument for a

00:56:30.620 mandate.

00:56:32.000 Now, some of you

00:56:33.720 asked me, Scott, are

00:56:35.180 you going to get a

00:56:36.100 third booster?

00:56:37.620 And again, you

00:56:40.100 should not follow my

00:56:41.480 model, right?

00:56:43.360 Nobody should look at

00:56:44.300 what I'm doing to

00:56:45.220 inform them how to

00:56:46.480 do it.

00:56:46.700 That would be the

00:56:47.140 wrong way to

00:56:47.620 approach a medical

00:56:48.280 decision.

00:56:54.260 So anyway, take

00:56:56.220 care of yourself.

00:56:56.960 Don't listen to me.

00:56:58.120 But don't use the

00:56:59.380 numbers as your

00:57:00.000 argument if you're

00:57:00.720 anti-vaccination.

00:57:01.960 It just doesn't

00:57:02.440 work.

00:57:02.820 All the numbers are

00:57:03.540 against you.

00:57:05.420 All of them.

00:57:06.720 All the numbers

00:57:07.600 are against you.

00:57:09.260 Doesn't mean the

00:57:09.920 numbers are right.

00:57:11.520 All right.

00:57:11.920 So I want you to

00:57:12.820 hear that clearly.

00:57:13.880 I'm not saying the

00:57:14.520 numbers are right,

00:57:15.260 the official numbers.

00:57:16.500 Probably they're

00:57:17.160 wrong like every

00:57:17.820 other official

00:57:18.340 number.

00:57:19.100 But they're all in

00:57:19.800 the same direction.

00:57:20.620 So just don't use

00:57:21.320 that argument.

00:57:25.780 Oh, about the

00:57:26.640 booster, yes.

00:57:27.840 My decision to get a

00:57:29.020 booster is undecided

00:57:30.460 because, oh, yes,

00:57:32.160 and I'll be on Viva

00:57:33.960 and Barnes later

00:57:36.220 today.

00:57:38.160 So look for me on

00:57:39.340 Viva and Barnes

00:57:40.020 later today.

00:57:45.040 Circular argument.

00:57:46.220 What's the circular

00:57:47.280 part?

00:57:54.140 Numbers are all

00:57:54.880 made up.

00:57:55.560 They might be.

00:57:57.760 Oh, so just

00:57:58.760 finishing up on the

00:57:59.500 booster.

00:58:00.400 So I'm going to

00:58:01.820 make the same

00:58:02.740 process I did to

00:58:03.960 decide on getting

00:58:04.920 the vaccination.

00:58:05.480 Since I got the

00:58:06.720 vaccination late, you

00:58:08.760 know, my immunity is

00:58:09.660 a little higher than

00:58:10.340 people who got it

00:58:11.000 earlier, so I have

00:58:11.760 some time.

00:58:12.500 So I'm going to wait

00:58:13.280 as long as possible

00:58:14.180 to have the most

00:58:15.500 information.

00:58:17.400 If I don't hear any

00:58:18.580 information that is,

00:58:20.160 you know, startlingly

00:58:22.600 negative, I'm inclined

00:58:24.720 to get the booster.

00:58:25.580 booster, just because

00:58:27.420 there's a consistency

00:58:28.580 thing about it, right?

00:58:30.320 If there's no new

00:58:31.380 information, why

00:58:32.200 wouldn't I use the

00:58:32.920 same decision?

00:58:33.840 Because there's no

00:58:34.780 new information.

00:58:36.200 But am I

00:58:37.340 comfortable with it?

00:58:39.180 No.

00:58:40.840 Does that help you?

00:58:42.540 Am I comfortable

00:58:43.700 getting a booster?

00:58:45.060 Nope.

00:58:46.000 Was I comfortable

00:58:47.220 getting the first

00:58:48.460 shots?

00:58:49.920 No.

00:58:51.200 You shouldn't be

00:58:51.980 either.

00:58:53.300 How can you be

00:58:54.200 comfortable with it?

00:58:55.620 Like I said, the

00:58:56.960 people who are telling

00:58:57.700 us to do this are all 0.84

00:58:58.620 liars. 0.99

00:58:59.440 They're all 1.00

00:58:59.880 undependable.

00:59:00.980 But you had to do

00:59:01.740 something, right?

00:59:02.760 There's a risk of

00:59:03.640 getting vaccinated.

00:59:04.500 There's a risk of not.

00:59:05.440 You just had to make

00:59:06.120 a decision.

00:59:06.540 And, you know, not

00:59:09.240 getting vaccinated is a

00:59:10.380 decision.

00:59:11.480 We all made decisions

00:59:12.780 without the right

00:59:13.520 amount of information.

00:59:15.660 Everybody agree with

00:59:16.440 that?

00:59:17.200 That all of us made

00:59:18.440 the decision without

00:59:19.480 enough information?

00:59:21.180 We kind of guessed.

00:59:22.920 And then we imagined

00:59:24.160 that we used data

00:59:25.260 after the fact, but we

00:59:26.200 didn't.

00:59:26.640 It was based on just

00:59:28.360 how you felt, basically.

00:59:31.960 All right.

00:59:32.620 I've got to go run and

00:59:33.840 do some other things,

00:59:34.540 and I'll talk to you

00:59:35.580 tomorrow.

00:59:36.740 tomorrow.

00:59:38.440 Amen.

00:59:39.340 Bye-bye.

00:59:41.840 Bye-bye.

00:59:43.000 Bye-bye.

00:59:43.160 Bye-bye.

00:59:43.740 Bye-bye.

00:59:44.380 Bye-bye.

00:59:44.800 Bye-bye.

00:59:44.860 Bye-bye.

00:59:45.620 Bye-bye.

00:59:46.480 Bye-bye.

00:59:47.600 Bye-bye.

00:59:48.440 Bye-bye.

00:59:48.500 Bye-bye.

00:59:48.660 Bye-bye.

00:59:50.700 Bye-bye.

00:59:50.900 Bye-bye.

00:59:52.980 Bye-bye.

00:59:53.560 Bye-bye.

00:59:55.400 Bye-bye.

00:59:55.500 Bye-bye.

00:59:55.560 Bye-bye.

00:59:55.660 Bye-bye.

00:59:57.400 Bye-bye.

00:59:58.340 Bye-bye.

00:59:59.760 Bye-bye.

01:00:01.060 Bye-bye.

01:00:01.280 Bye-bye.

01:00:01.560 Bye-bye.

01:00:02.860 Bye-bye.

01:00:03.280 Bye-bye.

01:00:03.500 Bye-bye.

01:00:03.720 Bye-bye.

01:00:04.360 Bye-bye.

01:00:05.320 Bye-bye.

01:00:05.500 Bye-bye.

Real Coffee with Scott Adams - October 20, 2021

Episode 1535 Scott Adams： You Won't Want to Miss Today's Show Because it Will be Awesome Like Usual

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