Real Coffee with Scott Adams - Episode 1468 Scott Adams： Fake News of the Day and Delicious Beverages. Join Us!

00:00:00.200 Favorite part of the day? I just can't wait to see all of you. It's actually true.

00:00:06.380 I know I have my lighting optimized today, but I'm kind of liking this low-light situation I've got here.

00:00:12.740 Makes it more intimate, don't you think?

00:00:15.460 Well, for those of you who are obsessed with my audio quality,

00:00:19.940 on Locals today, I took the electronics out, going directly into my iPad with the lavalier.

00:00:26.140 Meanwhile, on YouTube, I'm going through a Rodecaster, so you're getting different audio.

00:00:32.420 If you like one of them, well, watch the one you like.

00:00:36.000 I don't know if there's any difference, really.

00:00:38.920 But I'll know later when I look at it.

00:00:42.780 And if you'd like today to go up a level, get a little bit better, I think you do,

00:00:47.640 all you do is a cup or mug or glass, a tank or a challenge, a canteen jug or flask, a vessel of any kind.

00:00:52.620 Fill it with your favorite liquid.

00:00:56.520 I like coffee.

00:00:57.860 And join me now for the unparalleled pleasure, the dopamine of the day,

00:01:02.620 the thing that makes everything better.

00:01:04.260 Everything.

00:01:05.140 Except my lighting.

00:01:06.780 It's called the Simultaneous Sip, but it goes like this.

00:01:10.280 Go! 0.95

00:01:15.080 Well, a funny thing happened yesterday.

00:01:18.980 People on Locals already heard this story because they're special.

00:01:23.640 But yesterday I was threatening to throw my HP printer out the window because I was having some trouble with it.

00:01:30.560 Well, it turns out that if you do a popular live stream and you threaten to throw a product out the window,

00:01:37.800 you will get a call from the people who make that product.

00:01:40.900 So I got a call from Hewlett-Packard.

00:01:44.900 They have an executive rapid response team for exactly these social media situations.

00:01:52.980 And they asked me if there was anything they could do.

00:01:55.920 Could they possibly help me get my product running?

00:02:00.100 Or if there's something they could do to maybe discourage me from throwing it out a window on live stream,

00:02:06.600 which I understand would be bad for business.

00:02:09.440 Bad for business.

00:02:10.180 So, I'm not going to throw my HP printer out the window.

00:02:15.000 And I will say, let me say for those who sort of were missing the fun part of this,

00:02:22.960 HP is a great company.

00:02:25.160 And they make really good products.

00:02:27.640 Great American company.

00:02:29.180 And I had already ordered an upgraded HP printer.

00:02:32.740 So every three years or so, you have to get rid of a printer.

00:02:36.780 They're mechanical.

00:02:37.320 It's a mechanical device.

00:02:40.200 It's not going to last forever.

00:02:42.460 It was time to upgrade.

00:02:43.500 Anyway, so I've got a new HP printer on the way.

00:02:46.400 But HP was on it.

00:02:49.700 I've got to say, when you see a big corporation,

00:02:53.060 it says we've been played.

00:02:55.660 No, I actually did plan to throw it out the window.

00:02:59.240 If any of you are thinking that I was bluffing about that, not at all.

00:03:04.700 No, I was actually, I was only looking for the right time of day.

00:03:08.400 And I was trying to figure out how to film it right.

00:03:11.220 Everything.

00:03:11.400 I was totally going to do it, just for fun.

00:03:15.140 But I also didn't want to clean up all the shards.

00:03:17.540 So that was part of it.

00:03:19.660 Anyway, fake news of the day.

00:03:22.120 Fake news of the day.

00:03:24.660 We've got a lot of it today.

00:03:26.720 New York Post is reporting that there's information coming out that new study says,

00:03:32.640 babies born during COVID, the pandemic have lower IQs, and not just a little bit.

00:03:40.040 Like really, really lower IQs.

00:03:43.440 Now, true or fake news?

00:03:46.480 The explanation given is that it's not biological.

00:03:52.420 Rather, it has to do with the situation.

00:03:56.500 And the thinking is that maybe the parents were all frazzled and stressed.

00:04:02.640 And staying home too much, and there wasn't enough stimulation for the kid.

00:04:08.260 Do you believe any of that?

00:04:10.080 Does any of that sound true?

00:04:12.580 Do you believe that babies who were raised in the situation where everybody's home,

00:04:19.200 around the baby, that they get less stimulation

00:04:23.220 than if everybody's going to work and you leave the baby with the caretaker

00:04:28.340 or, I don't know, where, whoever takes care of the baby?

00:04:32.640 Or if one of you goes to work and one of you stays home with the baby,

00:04:36.440 that baby is smarter because there's only one of you home? 0.58

00:04:39.480 Are you telling me that a baby with a house full of people

00:04:42.380 is going to get less stimulation and be less smart

00:04:45.320 than a baby that stays home with one person all day?

00:04:48.360 I don't know.

00:04:51.040 I would say, at the very least, the explanation with which they hypothesize

00:04:56.920 doesn't sound right to me.

00:04:59.620 I mean, just on the surface, it doesn't sound right.

00:05:01.960 And then I think some of you are asking in the comments,

00:05:05.100 how exactly do you measure the IQ of a newborn?

00:05:11.380 Can you even do that?

00:05:12.500 How old does the baby have to be before you can get a good read on its IQ?

00:05:20.360 Yeah, how do you measure that?

00:05:22.460 Now, I imagine it's something like, you know,

00:05:25.120 does the baby recognize a sound or, you know,

00:05:28.520 does it turn toward a thing or does it know that the toy is under the cup?

00:05:33.960 I don't know.

00:05:34.960 Something like that.

00:05:35.880 But I got real questions about the accuracy of this study.

00:05:40.480 If it's true, it's the biggest news in the world.

00:05:44.620 Right?

00:05:45.740 If this were true, it's the biggest news in the world.

00:05:50.320 Because this would indicate you can totally manipulate the IQ of your baby

00:05:54.500 by what's happening the first year.

00:05:57.460 If that's true, we can turn all of our babies into super babies

00:06:02.140 by figuring out what was different about the pandemic

00:06:04.980 and then you do more of the stuff that's different from that,

00:06:09.000 you got super babies.

00:06:10.340 And all the people in other countries we're competing against,

00:06:13.260 well, they'll just have normal babies. 0.98

00:06:15.220 And their babies will never compete with our super babies.

00:06:18.240 But I'm going to say,

00:06:19.280 because it's not the biggest story in the world,

00:06:21.740 that the experts are maybe not buying this.

00:06:25.140 Because if they were,

00:06:26.880 I mean, correct me if I'm wrong,

00:06:28.100 if our babies born during the pandemic 0.99

00:06:31.300 were really noticeably dumber, 0.99

00:06:34.980 we wouldn't be talking about anything else. 0.99

00:06:39.100 By far, that would be the biggest problem.

00:06:41.860 So apparently other people are not buying this story,

00:06:44.480 but here it is.

00:06:46.180 All right, here's some more CNN fake news.

00:06:50.060 And this is fake news by intentional lack of context.

00:06:54.320 So there are lots of ways to fake the news.

00:06:56.040 Here's one of them.

00:06:57.480 So Adam Dopamine found this on Twitter.

00:07:00.820 And this is CNN in a written piece.

00:07:05.060 They talked about Alabama Hospital and says,

00:07:08.440 we're seeing a lot of children

00:07:10.280 that are very, very sick admitted to our hospital.

00:07:13.800 We have almost twice as many right now

00:07:16.780 as we did at the previous worst part of the pandemic.

00:07:20.080 It's pretty bad.

00:07:21.980 And so how bad is that?

00:07:25.120 It's twice as bad.

00:07:26.220 What's missing?

00:07:29.800 The number.

00:07:31.600 What about the number?

00:07:33.980 Okay, it's twice as bad.

00:07:38.060 And?

00:07:39.320 I don't know.

00:07:40.940 Do I care?

00:07:41.900 Because if it was one person last year

00:07:44.340 and it's two people today,

00:07:46.680 do I care that it's twice as bad?

00:07:49.040 I kind of need a little context.

00:07:50.860 Well, somebody else on Twitter

00:07:53.560 found another local source

00:07:55.120 for, I think, the same story.

00:07:58.860 But a local source said

00:08:00.160 33 children are hospitalized in Alabama with COVID.

00:08:04.940 33.

00:08:06.420 So let's say the number went from,

00:08:08.660 I don't know, they say almost twice.

00:08:11.720 So let's say it's, I don't know,

00:08:15.520 15 extra children.

00:08:17.140 So let's say 15 extra children.

00:08:24.180 Is that enough to change your national policy?

00:08:28.040 Because of the 15, 0.98

00:08:29.800 most of them won't die, right?

00:08:31.740 So there might be 15 extra children,

00:08:33.860 maybe five of them will die.

00:08:36.260 Anybody dying is a tragedy,

00:08:38.220 and, you know, extra so if it's a child.

00:08:40.780 So not to minimize the fact

00:08:42.180 that these are real people,

00:08:43.460 not just statistics,

00:08:45.180 five people being a tragedy, of course.

00:08:47.120 One person being a tragedy.

00:08:49.380 But we do need to manage the country

00:08:51.240 to these risks.

00:08:52.720 And I don't believe

00:08:53.520 that they've been given to us straight by CNN.

00:08:56.280 Tell us the number next time.

00:08:58.600 All right.

00:09:01.340 And then here's another one from CNN.

00:09:04.100 Quote,

00:09:04.500 Some hospitals now report

00:09:06.200 their intensive care units,

00:09:07.480 which are usually reserved

00:09:08.400 for the most critically ill patients,

00:09:09.920 are full.

00:09:11.840 Some hospitals?

00:09:13.780 How many is some hospitals?

00:09:15.300 How many hospitals are there?

00:09:18.360 Are there, let's say,

00:09:20.460 10,000 hospitals?

00:09:21.700 I don't know.

00:09:22.620 Does anybody know how many hospitals

00:09:24.060 there are in the country?

00:09:25.200 1,000?

00:09:26.640 10,000?

00:09:28.120 What would be...

00:09:28.900 Anybody?

00:09:29.640 Just tell me the number of hospitals.

00:09:31.080 Do a fact check.

00:09:33.040 But what are...

00:09:34.000 Some hospitals have...

00:09:35.700 Are impacted.

00:09:38.300 What if there are 10,000 hospitals,

00:09:40.360 and five of them are...

00:09:43.140 Somebody has a number here.

00:09:44.480 1,500, 770.

00:09:47.200 There are about 4,000 acute care hospitals.

00:09:49.940 Well, your numbers are all over the place, people.

00:09:52.360 But let's say it's in the low thousands.

00:09:55.640 If you have hospitals in the low thousands,

00:09:58.020 how many of them are impacted?

00:10:00.520 Some?

00:10:01.360 Some.

00:10:02.000 Three?

00:10:03.200 What would be some?

00:10:04.640 Three or four?

00:10:05.220 How big is this problem?

00:10:07.240 We're literally being managed and manipulated

00:10:11.560 because they don't want us to know the number.

00:10:14.420 Obviously, it would be easy enough to find the number.

00:10:16.780 How hard would it be for CNN to say

00:10:18.520 there are, you know, say, 5,000 hospitals in the world,

00:10:22.160 whatever it is, in the country,

00:10:24.040 and seven of them are impacted?

00:10:27.700 And we think...

00:10:28.540 You would also say your prediction.

00:10:30.820 Seven of them are impacted.

00:10:32.160 We think there could be...

00:10:34.160 Oh, Bing says there are 6,090 hospitals.

00:10:38.960 All right.

00:10:39.460 So let's say you say there are 6,000 hospitals

00:10:41.340 and seven of them are impacted.

00:10:43.540 That would tell me something.

00:10:44.980 And maybe we think there will be 100 impacted.

00:10:47.740 And if they're in the big cities, of course,

00:10:49.320 that's a bigger deal.

00:10:52.180 So now we're seeing the stories about the people

00:10:54.080 who had medical problems

00:10:56.240 because their surgeries, et cetera, were delayed.

00:11:00.200 Let me tell you my story just so you can add an anecdote.

00:11:05.700 And it's dangerous to add anecdotes to your knowledge set

00:11:09.200 when you're trying to make decisions

00:11:10.380 because they're too influential.

00:11:11.860 But I'll give you one example.

00:11:14.140 Last year, during the pandemic,

00:11:16.000 I was scheduled to get sinus surgery.

00:11:18.660 Now, sinus surgery to remove some polyps.

00:11:21.700 Now, sinus surgery is not the biggest deal in the world.

00:11:24.120 But because it got delayed,

00:11:28.200 I had to be on prednisone for way longer than normal

00:11:31.600 to keep things managed until the surgery.

00:11:35.420 And I would say that there's a good chance

00:11:37.400 that that ruined my life.

00:11:39.700 Now, I won't give you the details,

00:11:41.700 but let's just say that it caused a series of events

00:11:44.900 directly from the delayed hospitalization

00:11:48.460 that I think may have ruined my life

00:11:50.060 through a series of related events.

00:11:54.180 Now, not health-wise.

00:11:55.320 Health-wise, I'm actually fine. 1.00

00:11:57.180 But you can really fuck up your life 0.99

00:11:59.620 by being sick for six months that you didn't expect. 0.91

00:12:04.200 So for six months, 0.99

00:12:05.180 I could barely walk up the fucking stairs 0.99

00:12:07.000 after I got off the prednisone 1.00

00:12:09.040 because you get addicted to it.

00:12:10.540 So that was a problem.

00:12:11.700 So I lost six months of my life.

00:12:14.700 You didn't notice so much

00:12:16.080 because I could fake it on camera pretty well.

00:12:18.260 But I was in bad shape for about six months.

00:12:21.860 And it had a consequence in my life.

00:12:26.540 So these are pretty, pretty big things going on

00:12:30.480 with people delaying hospitalization.

00:12:32.480 It's a big deal.

00:12:34.240 And I can confirm that.

00:12:38.100 Now, of course, CNN is trying to persuade us by anecdote.

00:12:41.900 Let's see how they're doing.

00:12:42.800 One of the things that CNN is doing

00:12:48.180 is they're sending Don Lemon out.

00:12:49.800 He went to, I think he was raised in Alabama,

00:12:52.880 and he went to Alabama hospitals.

00:12:56.780 And he's talking to somebody

00:12:58.440 who's like in the intensive care.

00:13:00.540 It might be on oxygen.

00:13:01.880 I'm not sure.

00:13:03.220 But Don Lemon asked this COVID patient

00:13:05.860 about not getting vaccinated

00:13:07.720 and says, do you regret it?

00:13:11.220 Do you regret it?

00:13:13.280 So see the scene in your head.

00:13:16.040 Don Lemon in the hospital

00:13:17.280 talking to a guy who's in bad shape from the COVID.

00:13:21.880 And he says, do you regret getting the vaccination?

00:13:25.400 Now, if you were to evaluate that as news,

00:13:29.600 that's a failing grade.

00:13:32.340 As news, it's a failure

00:13:33.960 because it's showing you an anecdote

00:13:36.160 that will mislead you about things

00:13:39.840 without the statistics.

00:13:41.940 Statistics would be good.

00:13:43.160 That would be news.

00:13:44.440 And we certainly know if the news says

00:13:46.220 there are lots of people in the hospital,

00:13:47.780 we'd know what that looks like.

00:13:49.640 But if you show one person on camera

00:13:53.320 suffering with regret,

00:13:56.400 I didn't hear the answer,

00:13:57.460 but I imagine there was some regret there,

00:13:59.720 that's persuasion.

00:14:02.140 That's pure persuasion.

00:14:03.300 Now, how much good persuasion is there?

00:14:06.240 You've got visual,

00:14:08.000 because it was actually video of a guy in the hospital.

00:14:10.780 That's A plus, visual.

00:14:13.280 You've got fear,

00:14:15.200 because it's the fear you put yourself

00:14:16.780 in that person's place

00:14:17.820 and you say, oh, that doesn't look good.

00:14:19.920 Fear, it's visual.

00:14:22.420 And then the last thing is

00:14:24.100 you can put yourself in, it's personal.

00:14:26.760 You can put yourself in the scene.

00:14:28.800 So even though it's about somebody else,

00:14:30.600 you pretty easily put yourself in the bed, right?

00:14:33.540 Your brain just does that automatically.

00:14:35.560 So how good is that for manipulation?

00:14:40.760 A plus.

00:14:41.960 A plus.

00:14:42.580 If you were to give that a grade

00:14:44.620 for propaganda, persuasion, and manipulation,

00:14:48.900 A plus.

00:14:49.380 Now, let me correct myself.

00:14:53.840 I just made a terrible mistake

00:14:55.900 that I'd like to correct.

00:14:57.360 I called it manipulation.

00:14:59.540 Is that fair?

00:15:02.100 Not by my own definition,

00:15:03.840 so this is what I'm going to correct myself in.

00:15:06.040 It's manipulation

00:15:06.940 if you're trying to make somebody

00:15:09.440 do something that's good for you

00:15:11.040 and bad for them.

00:15:11.900 That's my definition.

00:15:14.620 If I try to get you to give me money

00:15:16.480 and it's not going to be good for you,

00:15:19.220 well, it's going to be good for me,

00:15:20.880 well, that's manipulation.

00:15:22.820 If I can convince you to do that

00:15:24.620 like it's your own idea or something.

00:15:26.560 But what if I try to convince you

00:15:29.540 to do something that's good for you?

00:15:31.580 Let's say exercise and eat right.

00:15:33.860 If I use persuasion

00:15:35.840 to get you to exercise and eat right

00:15:37.960 and you wanted to do those things,

00:15:40.220 am I manipulating you or persuading?

00:15:43.680 Now, I would call that persuasion

00:15:45.060 because that's a good intention

00:15:46.620 and everybody's on the same page.

00:15:49.220 Manipulation is when you're trying

00:15:50.340 to change somebody's mind

00:15:51.920 and they don't want to change their mind

00:15:53.440 and they don't see what's good about it.

00:15:56.180 That's manipulation.

00:15:57.640 And that's what CNN was doing.

00:16:00.340 CNN was changing your mind

00:16:02.220 and you're not sure that's good for you.

00:16:05.160 It might be.

00:16:06.180 I'm not saying it's not.

00:16:07.940 I'm just saying you're not so sure.

00:16:09.320 So that gets into the manipulation.

00:16:11.760 But my guess is that CNN

00:16:13.840 is not intending for a bad result.

00:16:17.720 I don't think they intend a bad result.

00:16:19.940 I think they want people

00:16:21.100 to have good outcomes.

00:16:23.700 So I actually believe

00:16:24.900 that they're sincere in the sense

00:16:26.260 that they would like people

00:16:27.060 to have better outcomes.

00:16:28.160 So maybe that's not manipulation

00:16:29.520 the way they see it.

00:16:30.920 It might just turn out to look like that.

00:16:34.620 How many non-abese people 0.99

00:16:36.300 in the United States died of COVID today?

00:16:38.120 Anybody?

00:16:39.500 Anybody?

00:16:40.200 Can you give me a number?

00:16:42.140 What would be

00:16:42.640 the most useful data

00:16:43.980 you could have?

00:16:46.000 You should have

00:16:46.760 a number of people who died,

00:16:49.760 a number of people

00:16:50.580 who were hospitalized

00:16:52.400 with intensive care,

00:16:54.300 let's say.

00:16:55.920 You need to know that.

00:16:57.840 But after you knew that,

00:16:59.320 don't you need to know

00:16:59.960 how many were obese?

00:17:02.180 And their age.

00:17:03.160 Their age would be good.

00:17:04.120 But I'll bet the obesity

00:17:05.680 is just as important.

00:17:09.480 Because your risk

00:17:10.700 and how you run your life

00:17:12.060 will depend entirely

00:17:13.180 on how many people

00:17:14.600 are getting hurt.

00:17:16.080 If it's a tiny, tiny number,

00:17:17.820 you're going to do one thing.

00:17:18.800 If it's a big number,

00:17:19.560 you'll do another.

00:17:20.480 And if you're not obese,

00:17:22.620 and the only people

00:17:23.380 who are getting bad outcomes,

00:17:26.320 or mostly,

00:17:27.640 are the obese,

00:17:28.820 well, you'd make

00:17:29.560 different decisions, maybe.

00:17:30.880 So here's a question

00:17:32.720 I asked online.

00:17:33.880 I said,

00:17:34.880 imagine a president

00:17:35.700 who persuaded people

00:17:37.140 to get fit

00:17:37.840 to protect themselves

00:17:38.960 and protect the country

00:17:40.220 at the same time.

00:17:43.400 I don't know

00:17:44.200 if we can handle that.

00:17:46.740 Right?

00:17:46.960 At various times,

00:17:48.060 we've had, you know,

00:17:48.880 presidential and, you know,

00:17:50.760 physical fitness initiatives

00:17:52.400 and stuff.

00:17:53.280 But, yeah,

00:17:53.980 like JFK, etc.

00:17:55.680 But they didn't really

00:17:57.680 go very far, did they?

00:17:58.700 Now, we've had Obama

00:18:00.980 who was a smoker.

00:18:03.440 Very suboptimal.

00:18:05.260 We should never have

00:18:06.040 a president who's a smoker,

00:18:07.380 in my opinion.

00:18:08.180 I think that's just

00:18:08.900 such a bad look.

00:18:11.420 Then we had Trump

00:18:13.100 who literally doesn't exercise

00:18:14.580 and eats fast food.

00:18:17.260 We've got Biden who,

00:18:18.740 let me give him some kudos.

00:18:21.820 Biden is very fit.

00:18:23.500 Always has been.

00:18:24.580 I believe he's a runner

00:18:25.900 or has always been a runner.

00:18:27.560 So, Biden is actually

00:18:30.320 at least a good role model,

00:18:31.800 but he doesn't do anything

00:18:32.860 about persuading people

00:18:34.100 to get fitter.

00:18:35.020 And I think

00:18:35.440 an excellent president

00:18:37.520 would do that.

00:18:38.980 Hey, today is the one year...

00:18:40.560 All right.

00:18:44.300 Well, I'll just finish up

00:18:45.440 on YouTube here.

00:18:52.000 And so,

00:18:53.480 the cyber symposium

00:18:54.520 isn't going too well.

00:18:55.360 Mike Lindell

00:18:57.460 tried to show

00:18:58.280 his evidence,

00:18:59.580 but there was a CNN expert

00:19:00.940 there who said,

00:19:01.720 I didn't see any.

00:19:03.220 He didn't say

00:19:04.160 the evidence was wrong.

00:19:08.740 He just said

00:19:09.660 he didn't see any.

00:19:11.640 So, we've gotten

00:19:12.600 to this point

00:19:13.420 where Mike Lindell

00:19:15.000 has done all this work

00:19:15.960 and at least

00:19:17.220 according to CNN,

00:19:18.280 they didn't agree

00:19:19.080 or disagree

00:19:19.640 with his evidence.

00:19:20.500 They didn't see any.

00:19:21.160 All right.

00:19:28.580 I was suggesting today

00:19:29.920 that we need something

00:19:30.600 like a Supreme Court

00:19:31.640 for fact-checking.

00:19:33.220 And, of course,

00:19:33.920 as soon as I said that,

00:19:35.260 then all of the...

00:19:36.940 Well, I won't insult people,

00:19:38.500 but there's a certain

00:19:39.560 type of thinking.

00:19:42.540 Was it...

00:19:43.160 Who called this

00:19:46.040 snap-to-grid?

00:19:47.320 Eric Weinstein?

00:19:48.640 Snap-to-grid thinking?

00:19:50.620 Where if you give anybody

00:19:51.880 any nuance

00:19:52.780 about anything,

00:19:54.080 they can't handle

00:19:54.680 the nuance,

00:19:55.340 so they have to snap it

00:19:56.380 to the closest grid

00:19:57.440 that's something

00:19:58.260 they do understand.

00:19:59.860 So, I think...

00:20:00.680 I'm not sure if he uses it

00:20:01.780 in the same context,

00:20:03.160 but I like that analogy.

00:20:06.940 So, a lot of people said,

00:20:08.260 wait,

00:20:09.020 a Supreme Court

00:20:09.800 for fact-checking,

00:20:10.940 you mean like

00:20:11.640 the ministry of truth?

00:20:14.260 Scott,

00:20:14.900 you mean like

00:20:15.420 the ministry of truth?

00:20:17.260 That's really

00:20:17.940 what you're recommending?

00:20:19.680 To which I say,

00:20:21.220 no, that's what

00:20:21.780 we have now.

00:20:23.700 The ministry of truth

00:20:25.880 is the current situation

00:20:27.060 where the powers that be

00:20:29.700 tell you what's true,

00:20:31.340 and your side says,

00:20:32.700 oh, yeah,

00:20:33.000 I guess that's true.

00:20:34.340 And then the other side

00:20:35.360 says it's not true.

00:20:36.680 So, we have

00:20:37.960 the ministry of truth,

00:20:38.980 but there are two of them.

00:20:40.260 There's one for the left

00:20:41.140 and one for the right.

00:20:42.960 So, it's the opposite

00:20:43.940 of anything useful.

00:20:45.700 So, imagine,

00:20:46.520 if you will,

00:20:46.920 a Supreme Court

00:20:47.680 for fact-checking,

00:20:48.640 something that we

00:20:49.340 wouldn't have needed

00:20:49.980 in the past,

00:20:51.180 and so the founders

00:20:52.180 never would have imagined

00:20:53.560 that they needed

00:20:54.680 a special department

00:20:55.600 for it.

00:20:56.420 But imagine if you had

00:20:57.580 facts that were

00:20:58.740 presented by,

00:21:00.700 let's say,

00:21:01.040 the media

00:21:01.500 or even the public,

00:21:02.720 and they could just

00:21:03.780 submit stuff

00:21:04.940 for fact-checking.

00:21:05.820 And imagine,

00:21:07.340 if you will,

00:21:08.340 that the process

00:21:09.440 for arguing the facts

00:21:10.720 was public.

00:21:12.360 So, you'd see

00:21:12.960 the people on both sides

00:21:14.580 arguing their facts.

00:21:16.080 You would see

00:21:16.480 the members

00:21:17.320 of the fact-checking

00:21:18.480 Supreme Court

00:21:19.200 ask them questions.

00:21:20.700 And then when it was done,

00:21:21.920 they would issue a ruling,

00:21:23.600 and there would be

00:21:24.280 a minority report.

00:21:26.200 The minority report

00:21:27.460 is really important.

00:21:29.140 And certainly,

00:21:30.080 we don't have anything

00:21:30.600 like that.

00:21:31.540 Wouldn't you like

00:21:32.100 to see seven justices

00:21:34.160 say,

00:21:35.060 well, we looked

00:21:35.560 at the data,

00:21:36.520 and let's say

00:21:37.500 we're trained economists

00:21:38.580 or we're trained

00:21:39.540 in statistics

00:21:40.280 or whatever,

00:21:41.340 and seven out of nine

00:21:42.400 of us say,

00:21:43.280 yes, this is true.

00:21:44.840 But you should know

00:21:46.240 that two out of nine

00:21:47.600 of us weren't so sure,

00:21:49.360 and here are their reasons.

00:21:51.260 Wouldn't that be

00:21:51.920 way better

00:21:52.600 than nobody

00:21:55.020 trying to figure out

00:21:55.820 what's true

00:21:56.260 or partisans

00:21:57.920 figuring out

00:21:58.380 what's true?

00:21:59.220 Now, imagine, too,

00:22:00.060 that you had

00:22:00.440 life appointments,

00:22:02.100 which is one of the things

00:22:03.300 that makes the Supreme Court

00:22:04.400 work,

00:22:05.140 life appointments,

00:22:06.240 so nobody has to

00:22:06.900 answer to anybody,

00:22:08.300 and you make it

00:22:10.020 a high-paying job,

00:22:11.080 prestigious,

00:22:12.360 so that people

00:22:13.020 don't need to take bribes.

00:22:15.160 So whatever it is

00:22:16.000 that makes the Supreme Court

00:22:17.100 work,

00:22:18.280 we could borrow

00:22:19.040 a lot of that

00:22:19.740 to make some kind

00:22:21.240 of a,

00:22:22.060 not ministry of truth,

00:22:23.780 but a Supreme Court

00:22:24.660 for facts.

00:22:26.660 And don't reject it

00:22:28.500 out of hand

00:22:29.020 just because you can't

00:22:29.940 think of the exact

00:22:30.900 way to do that.

00:22:32.100 Just think that

00:22:34.360 everything that's

00:22:35.140 wrong right now

00:22:36.100 is because we

00:22:37.920 don't have this.

00:22:40.120 Let me say that again.

00:22:41.940 Everything that's

00:22:42.760 wrong with the country

00:22:43.680 is because we don't

00:22:45.300 have a Supreme Court

00:22:46.320 for fact-checking.

00:22:47.500 We can't agree

00:22:48.140 what to do.

00:22:49.760 Now, some of the

00:22:50.680 things we can't agree

00:22:51.760 on are strategy,

00:22:52.760 and nobody really

00:22:53.660 knows the future,

00:22:54.660 so you can't tell

00:22:55.300 if strategy is a good

00:22:56.160 idea, usually.

00:22:58.040 But facts,

00:23:00.360 we ought to be

00:23:01.260 working on the

00:23:01.840 same set of facts.

00:23:03.080 So let's fix that.

00:23:04.060 It's fixable.

00:23:04.940 You just need a better

00:23:05.580 system.

00:23:06.880 Birth rate is

00:23:07.560 falling since 2007,

00:23:10.460 and I guess a big

00:23:11.900 part of the problem

00:23:12.480 is that parents

00:23:14.840 don't want all the

00:23:15.660 responsibility and

00:23:17.300 all the work.

00:23:19.180 Here's another case

00:23:20.360 where we have

00:23:21.040 drifted into a world

00:23:22.540 that doesn't work

00:23:23.640 at all, and we

00:23:24.840 should just tear it

00:23:25.640 down and start over.

00:23:27.540 The average way 0.58

00:23:28.720 that parents raise

00:23:30.140 kids in the United

00:23:31.320 States is so messed 0.79

00:23:34.260 up.

00:23:35.400 It's not good for

00:23:36.080 the kids.

00:23:36.660 It's definitely not

00:23:37.340 good for the parents.

00:23:38.500 It's just sort of

00:23:39.180 what we do.

00:23:40.200 Let me give you

00:23:40.740 an example.

00:23:43.060 I might spend

00:23:44.160 two hours a day

00:23:45.060 driving kids to

00:23:46.640 school.

00:23:48.700 Two hours.

00:23:50.340 Because everybody

00:23:51.700 drives out here,

00:23:52.960 and there's

00:23:53.300 gigantic lines.

00:23:54.540 You've got to go

00:23:54.940 early, it's

00:23:56.580 across town.

00:23:59.620 There's just all

00:24:00.400 kinds of complications

00:24:01.260 to it.

00:24:01.680 That's just every

00:24:02.280 day.

00:24:03.460 Now, that's all

00:24:04.120 just completely

00:24:04.800 wasted time.

00:24:06.260 Completely wasted

00:24:07.160 time.

00:24:08.260 Because you

00:24:09.840 should build a

00:24:10.460 town where kids

00:24:11.280 can walk to

00:24:11.940 school.

00:24:13.280 When I grew

00:24:13.860 up, we just

00:24:15.000 walked to school.

00:24:16.200 It wasn't close.

00:24:17.400 I mean, not that

00:24:18.100 close, but it was

00:24:19.140 close enough.

00:24:20.980 Imagine building a

00:24:21.980 town where there

00:24:22.640 are bicycle paths,

00:24:23.720 and it's safe

00:24:25.880 and lighted, and

00:24:26.720 there are, say,

00:24:27.400 video cameras.

00:24:28.760 And any kid, even

00:24:30.140 the young ones, can

00:24:31.360 just leave the

00:24:32.080 house with their

00:24:32.600 little lunchbox and

00:24:33.840 walk on the path and

00:24:34.780 just walk to school.

00:24:36.080 There'd be big kids

00:24:36.820 there.

00:24:37.400 You know, everything

00:24:38.040 would be safe

00:24:38.660 enough.

00:24:39.480 So you can imagine

00:24:40.480 like a hundred

00:24:41.180 different ways the

00:24:42.040 classes would be

00:24:42.880 better.

00:24:43.340 They would teach

00:24:43.840 better things.

00:24:45.060 They could get

00:24:45.700 back and forth

00:24:46.320 easily.

00:24:47.740 There wouldn't be

00:24:48.320 all that paperwork.

00:24:49.540 You wouldn't have

00:24:49.980 these after-school

00:24:50.840 activities that don't

00:24:51.820 really help anybody.

00:24:54.240 There's just a

00:24:54.920 million things you

00:24:55.540 could redesign.

00:24:56.980 So we've actually

00:24:57.640 got our systems for

00:24:59.160 raising children.

00:25:00.280 So here's the

00:25:00.900 major point.

00:25:02.340 The system for

00:25:03.420 raising children is

00:25:04.480 so bad that women 1.00

00:25:07.340 won't do it.

00:25:09.820 It's just too

00:25:10.660 inconvenient.

00:25:11.880 And I actually

00:25:12.640 agree with them.

00:25:13.720 If I look at what

00:25:14.820 it takes to raise a

00:25:15.820 kid today versus

00:25:18.120 what it took, you

00:25:18.940 know, when I was a

00:25:19.500 kid, they're

00:25:20.540 completely different.

00:25:21.820 And we were

00:25:23.060 raised almost

00:25:23.800 like, you know,

00:25:24.620 like feral, you

00:25:26.700 know, free-range

00:25:28.580 chickens.

00:25:29.700 You know, we'd

00:25:29.980 leave, you know,

00:25:31.120 at a fairly young

00:25:32.680 age, we were

00:25:34.260 allowed to leave

00:25:34.960 the house, let's

00:25:35.860 say the summer.

00:25:36.900 In the summer, you

00:25:37.620 could leave the

00:25:38.100 house on your

00:25:38.600 bike, and your

00:25:39.880 only requirement

00:25:40.720 was to be home

00:25:41.420 for dinner, five

00:25:42.700 o'clock.

00:25:43.240 That's it.

00:25:44.200 That's the next

00:25:45.240 time your parents

00:25:45.900 would see you, is

00:25:47.100 when you sat down

00:25:47.800 at the dinner

00:25:48.300 table.

00:25:49.280 Now, I'm not

00:25:50.940 saying that's a

00:25:51.420 good or bad

00:25:51.860 system, but I'm

00:25:52.580 saying that our

00:25:53.120 system for raising

00:25:54.180 children is

00:25:54.740 completely broken.

00:25:55.740 And if we don't

00:25:56.980 fix it, our

00:25:57.580 birth rate is just

00:25:58.400 going to fall

00:25:59.420 through the floor.

00:26:00.900 Because having a

00:26:02.040 child today is just

00:26:03.500 really not a good

00:26:04.780 deal compared to

00:26:06.700 what it was.

00:26:07.200 things.

00:26:09.720 Here's a provocative

00:26:10.840 statement I made

00:26:11.680 that the least

00:26:16.020 credible thing you

00:26:17.000 can see on the

00:26:17.600 internet is the

00:26:18.920 rogue doctor who

00:26:20.740 disagrees with all

00:26:21.720 the other doctors.

00:26:24.120 Now, this is going

00:26:24.780 to be a tough

00:26:25.160 conversation here, I

00:26:26.140 know.

00:26:27.560 The rogue doctor who

00:26:29.860 disagrees with all

00:26:31.020 the other doctors,

00:26:31.960 and there's a viral

00:26:32.640 video.

00:26:33.540 Now, you're thinking

00:26:34.300 of specific ones in

00:26:35.340 your head right now,

00:26:35.980 right?

00:26:36.220 It's not about a

00:26:37.480 specific one.

00:26:38.860 It's about the

00:26:40.160 category.

00:26:41.820 Because part of your

00:26:42.840 risk management

00:26:43.880 decision is to look

00:26:45.780 at the category.

00:26:47.280 So let me give you

00:26:47.800 an example.

00:26:48.840 Somebody tells you

00:26:49.740 that they have

00:26:50.420 figured out how to

00:26:52.160 make nuclear fusion

00:26:56.020 work in their garage

00:26:58.160 with components that

00:27:00.060 they bought at the

00:27:01.160 hardware store.

00:27:02.800 Now, that's a

00:27:03.640 category of claim

00:27:04.880 that's always

00:27:06.400 untrue.

00:27:07.520 So you don't need

00:27:08.380 to look at the

00:27:08.920 details.

00:27:09.840 I mean, you should

00:27:10.400 probably, you know.

00:27:11.840 Maybe you should look

00:27:12.760 into them a little

00:27:13.300 bit.

00:27:13.880 But you don't need

00:27:14.940 to, to know if it's

00:27:16.920 probably not true,

00:27:18.480 right?

00:27:18.740 There's some things

00:27:19.340 that are in that

00:27:19.820 just category of

00:27:20.780 probably not true.

00:27:21.860 And the rogue doctor

00:27:25.240 who sees what

00:27:26.160 nobody else can

00:27:26.980 see, only I

00:27:28.700 have seen the

00:27:29.880 truth.

00:27:30.420 And all the other

00:27:31.180 experts in my

00:27:32.180 field have not

00:27:33.680 seen the truth.

00:27:35.080 And let me tell you,

00:27:36.160 I've treated 15

00:27:37.840 people.

00:27:39.060 And so I know

00:27:39.740 what the randomized

00:27:40.440 controlled trials do

00:27:41.960 not know because of

00:27:43.500 my 15 anecdotal

00:27:44.780 examples.

00:27:46.500 All right?

00:27:47.280 Now, yeah, forget

00:27:49.840 about the fact I

00:27:50.720 called them rogue.

00:27:51.560 Let's say they're

00:27:52.060 the ones disagreeing

00:27:53.280 with the mainstream,

00:27:54.120 whatever you want

00:27:54.560 to call that.

00:27:56.260 In my experience,

00:27:58.060 I can't think of a

00:27:59.600 single time that

00:28:01.700 the lone doctor

00:28:02.740 with the viral video

00:28:04.360 has been right in

00:28:05.720 the end.

00:28:06.580 Can you?

00:28:08.240 Now, I know you

00:28:09.460 can think of some

00:28:10.520 examples from all

00:28:11.880 of history.

00:28:13.860 So, for example,

00:28:14.580 you'll say, well,

00:28:15.660 for every big change,

00:28:17.320 there was somebody

00:28:18.040 who got there first.

00:28:19.840 So, yeah, for

00:28:21.040 everything that we

00:28:22.040 didn't have right in

00:28:23.040 the past, but now

00:28:23.900 we do, there was a

00:28:25.880 rogue doctor.

00:28:27.040 Somebody won first.

00:28:28.740 But how about the

00:28:30.120 last 10 years?

00:28:32.420 In the last 10

00:28:33.540 years, how many

00:28:35.280 videos have there

00:28:36.100 been of the rogue

00:28:37.560 doctor, who was the

00:28:39.460 only one who sees

00:28:40.300 everything the way

00:28:41.000 it is, how many of

00:28:42.360 them turned out to

00:28:43.040 be right?

00:28:44.400 You know, once

00:28:44.960 enough time had

00:28:45.700 gone by that we

00:28:46.540 know if they're

00:28:47.220 right or wrong.

00:28:47.720 None?

00:28:49.920 None, right?

00:28:53.440 So the odds of the

00:28:54.760 rogue doctor being

00:28:56.720 right are close to

00:28:59.460 zero.

00:29:00.420 They're not zero,

00:29:01.220 though.

00:29:02.140 They're not zero.

00:29:03.640 So the trouble is

00:29:04.640 that they're very

00:29:05.240 convincing.

00:29:06.880 Very convincing.

00:29:08.660 And somebody says,

00:29:10.880 Rand Paul.

00:29:11.360 Rand Paul, that's a

00:29:14.060 special case.

00:29:15.560 Rand Paul is a

00:29:16.460 politician who also

00:29:17.720 is a doctor.

00:29:19.120 I don't know if I

00:29:19.980 would count that

00:29:20.560 one.

00:29:21.600 That's sort of a

00:29:22.360 special case.

00:29:24.840 So anyway, I would

00:29:26.300 just say this.

00:29:27.020 If you believe that

00:29:28.000 that doctor you saw

00:29:29.020 in the video,

00:29:29.720 whichever doctor it

00:29:30.580 was, and whichever

00:29:31.800 video it was, if you

00:29:33.440 believe them when

00:29:34.340 they're disagreeing

00:29:35.040 with all the other

00:29:35.840 experts, they could be

00:29:38.000 true.

00:29:38.240 It could be true.

00:29:40.960 But I'd say the

00:29:41.800 odds of it are under

00:29:43.700 10%, let's just say.

00:29:46.500 Does anybody disagree

00:29:47.260 with that, by the

00:29:47.860 way?

00:29:48.520 Does anybody disagree

00:29:49.960 with the sort of

00:29:51.040 general notion that

00:29:52.920 nine out of ten of

00:29:53.880 these doctors who have

00:29:55.560 the secret and nobody

00:29:56.900 else has it, nine out 1.00

00:29:58.620 of ten are bullshit. 1.00

00:30:00.620 Right? 1.00

00:30:02.160 So keep that in mind.

00:30:05.440 Here's an interesting

00:30:06.740 thing that happened on

00:30:07.720 the Internet.

00:30:08.240 today.

00:30:09.360 There was Ken

00:30:10.120 Kalanian, who works

00:30:11.760 for NBC News.

00:30:13.560 He tweeted that at

00:30:14.760 least 125,000 fully

00:30:16.700 vaccinated Americans

00:30:17.900 have tested positive

00:30:19.040 for COVID.

00:30:20.880 125,000 fully

00:30:23.500 vaccinated Americans

00:30:24.720 still got COVID.

00:30:26.920 So what would that

00:30:27.760 lead you to imagine

00:30:29.640 about the vaccinations?

00:30:32.780 It sort of suggests

00:30:33.580 they don't work that

00:30:34.260 well, doesn't it?

00:30:36.020 Now here's Fox News.

00:30:37.880 They reported that of

00:30:40.940 vaccinated people, the

00:30:43.380 total number of

00:30:44.120 vaccinated people who

00:30:45.100 died were 0.001% of the

00:30:47.980 total.

00:30:49.260 That's called context, good

00:30:51.220 context.

00:30:52.400 How about hospitalizations?

00:30:53.660 0.003% of all the

00:30:55.740 hospitalizations for COVID

00:30:57.000 were of vaccinated people.

00:30:59.860 Now that's data.

00:31:00.880 So, and the comments were

00:31:04.580 fascinating, because anytime

00:31:05.840 Fox News is on social media,

00:31:08.060 especially Twitter, all the

00:31:10.640 anti-Fox News people will come

00:31:12.100 in and say, Fox News is wrong

00:31:13.680 about everything.

00:31:14.820 Except this time that didn't

00:31:16.120 happen.

00:31:17.260 This time the critics of Fox

00:31:19.100 News in the comments said, uh-oh,

00:31:22.720 did Fox News just get this

00:31:25.180 right with the accurate

00:31:27.020 context, and NBC News is

00:31:29.580 misleading us?

00:31:30.900 Even the people who don't

00:31:32.280 like Fox News said, oh, this

00:31:33.900 is right.

00:31:34.600 They got this right.

00:31:36.740 So, uh, of course, I don't, I

00:31:38.840 can't speak to the accuracy of

00:31:40.060 any data, but the way Fox News

00:31:43.220 reported it was exactly the way

00:31:45.080 the public wants to see this.

00:31:47.460 Right?

00:31:47.980 We do also need to know that

00:31:49.640 125,000 vaccinated people got,

00:31:52.200 uh, COVID.

00:31:54.060 So that's a big part of the

00:31:55.220 story.

00:31:55.980 But if they're not dying, that's

00:31:59.060 the bigger part of the story.

00:32:00.700 So the other day I was saying,

00:32:02.360 uh, that this is exactly how

00:32:03.740 the news should report it.

00:32:05.140 They should tell us the deaths

00:32:06.480 and hospitalizations.

00:32:08.520 And Fox News got it right.

00:32:11.020 Now, uh, I'm not saying that I

00:32:13.420 had anything to do with that.

00:32:14.440 I'm just saying that, um, they

00:32:16.420 got it right.

00:32:17.400 Now, I've told you this before.

00:32:20.700 This is sort of a big deal.

00:32:23.480 Um, you could argue all the day

00:32:25.100 about CNN and MSNBC and Fox

00:32:27.560 News and, you know, which one's

00:32:29.320 the bad one.

00:32:30.560 But Fox News is continuously

00:32:33.520 better produced.

00:32:36.380 You can talk about the on-air

00:32:38.440 talent all day long, who you

00:32:39.900 like, who you don't.

00:32:41.060 You do or you don't like Tucker

00:32:42.480 Carlson or whatever.

00:32:43.260 But the, just the quality of the,

00:32:46.180 uh, backroom, what would you call

00:32:48.060 them, the support staff, the

00:32:49.860 producers, uh, every part of the

00:32:52.200 design of Fox News is really well

00:32:55.100 done.

00:32:56.000 Like, substantially better done than

00:32:58.440 their competition.

00:32:59.220 So, if any, uh, Fox News producers 0.58

00:33:02.560 are watching, you guys kill it all 0.90

00:33:05.060 the time. 0.83

00:33:05.980 I mean, just consistently.

00:33:07.180 You're just killing it.

00:33:08.740 And I'm not sure if the public can

00:33:11.020 tell how much of the quality of your

00:33:13.640 work, you know, makes it up on the

00:33:15.060 screen because, you know, the on-air

00:33:16.520 talent tends to get the credit.

00:33:17.780 So, that was my news of the day.

00:33:24.120 Somebody says, Fox News is right-wing

00:33:26.260 propaganda.

00:33:28.380 Well, unfortunately, we have a news

00:33:30.620 business that does cater to its

00:33:32.380 individual audiences.

00:33:33.940 So, it can, it can turn into that.

00:33:35.880 Yes.

00:33:37.560 Let's see.

00:33:38.040 What's it say?

00:33:38.600 Um, I think they care.

00:33:43.960 Well, okay.

00:33:46.240 I'm just looking at some of your

00:33:47.300 comments here for a minute.

00:33:51.220 Scott, appear on Gutfeld Show,

00:33:54.340 please.

00:33:55.220 Uh, I will do that.

00:33:57.460 Um, I took several months off from

00:33:59.540 appearing on other media because I

00:34:01.440 just needed to get some other stuff

00:34:03.440 done.

00:34:04.380 Um, let's see.

00:34:08.240 Proof that Dominion election machines

00:34:10.100 in Detroit had Wi-Fi connections.

00:34:12.500 Go to this page.

00:34:14.800 Nope.

00:34:15.440 Nope.

00:34:15.880 I'm not going to go to that page.

00:34:17.080 Because I don't believe that there

00:34:18.980 is, I don't believe it's true.

00:34:21.240 I don't believe that the evidence

00:34:22.520 exists.

00:34:23.860 So, uh, I do not believe that we have

00:34:27.240 proof that Dominion machines were

00:34:28.980 connected to the internet.

00:34:30.680 I, I do believe you could prove that

00:34:33.640 it's technically possible.

00:34:34.860 but proving that they were connected

00:34:37.440 during the election or during any other

00:34:39.680 time before or after.

00:34:41.420 Yeah.

00:34:43.140 Yeah.

00:34:46.260 Um, so the question about whether the

00:34:50.240 vaccinations themselves are causing the

00:34:52.840 variants.

00:34:54.020 I don't really understand that argument.

00:34:55.980 Um, don't understand it at all because, uh, wouldn't you

00:35:06.080 get just as many variants with or without the

00:35:08.440 vaccination?

00:35:08.960 If the vaccinations, somebody do me a fact check on

00:35:13.060 this.

00:35:13.400 All right. 0.99

00:35:13.620 I'll give you my, uh, dumb guy, not a doctor, not an 0.99

00:35:17.200 expert, um, thinking through it. 0.99

00:35:20.660 Let's say you've got a, you know, you've got a big

00:35:22.640 population and variants happen on their own.

00:35:25.680 All right.

00:35:26.580 So the vaccination doesn't trigger the variant.

00:35:30.020 It's just one part of the filtering system that some

00:35:33.700 people imagine allows more variants to break through.

00:35:38.140 But, um, so viruses mutate, but don't they view, mutate

00:35:45.980 exactly the same whether you're vaccinated or not?

00:35:49.360 Why would it change?

00:35:50.780 You remember that even the vaccinated people get the 0.88

00:35:54.000 virus.

00:35:54.380 So in theory, the vaccination shouldn't make, like, I

00:35:59.220 don't see the mechanism that would cause a vaccination to

00:36:02.020 increase the number of variants because the number of

00:36:05.140 variants, I just don't see, it seems like it would

00:36:08.320 decrease it.

00:36:09.860 Like my common sense says if the, if the vaccination causes

00:36:13.720 fewer humans to have bad outcomes, it will cause them to

00:36:18.680 spread it less.

00:36:21.080 There should be less variants, right?

00:36:22.860 Just because there's less virus.

00:36:26.220 I would think that the only thing that causes variants is the

00:36:28.660 total amount of virus.

00:36:31.120 And if the vaccination reduces the number of humans who have a

00:36:35.300 virus, doesn't that reduce the variants?

00:36:39.200 I guess somebody needs to explain that better.

00:36:42.300 Um, let's see if there's somebody who knows this on the comments.

00:36:48.340 So it says the vax filters out only leaving the variants.

00:36:52.260 Well, but those variants would be there anyway.

00:36:56.900 Right?

00:36:57.340 So here's the mechanism.

00:36:59.500 So the mechanism that is suggested that I don't think is true.

00:37:02.720 So, so this is just suggested by a commenter is that let's say the

00:37:07.100 vaccination stopped all the normal virus, but it couldn't stop a

00:37:11.720 variant and the variant would break out.

00:37:14.260 But the variant was going to break out anyway, right?

00:37:18.440 Because if the variant exists and it wasn't, it wasn't the vaccination that

00:37:22.380 caused it, right?

00:37:23.880 Nobody says that.

00:37:25.380 We're saying that the vaccine, vaccine simply allows it.

00:37:29.560 It doesn't cause it.

00:37:30.440 So if it's simply allowing something that happened anyway, wasn't it going to

00:37:37.280 happen anyway?

00:37:38.440 Because it happened anyway.

00:37:40.160 It didn't have anything to do with the vaccination.

00:37:42.680 The vaccination simply failed to stop it.

00:37:46.160 How does failing to stop something create more of it?

00:37:51.260 It only fails to stop it.

00:37:53.200 And with or without the vaccination, that would have failed to stop it too,

00:37:58.260 right?

00:37:58.540 So I guess we need more information on this.

00:38:02.720 I see ADA, ADE, variants forever, the virus competes.

00:38:09.540 Yeah, I don't think any of you know how to explain that either.

00:38:12.700 So I'm not saying it's not true.

00:38:15.020 I'm just saying I don't understand how it could be true, which is a little

00:38:18.140 different.

00:38:19.020 All right.

00:38:19.500 That's all I got for now.

00:38:20.480 And I'll talk to you tomorrow.

Real Coffee with Scott Adams - August 14, 2021

Episode 1468 Scott Adams： Fake News of the Day and Delicious Beverages. Join Us!

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