Real Coffee with Scott Adams - August 14, 2021


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


Episode Stats

Length

38 minutes

Words per Minute

152.26666

Word Count

5,841

Sentence Count

451

Misogynist Sentences

4

Hate Speech Sentences

6


Summary

A new study says that babies born during the 9/11 pandemic have lower IQs than those born before that time period. Do you think this is true or not? And if so, what role do you play in the research?


Transcript

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!
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?
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.
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
00:06:31.300 were really noticeably dumber,
00:06:34.980 we wouldn't be talking about anything else.
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,
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.
00:11:57.180 But you can really fuck up your life
00:11:59.620 by being sick for six months that you didn't expect.
00:12:04.200 So for six months,
00:12:05.180 I could barely walk up the fucking stairs
00:12:07.000 after I got off the prednisone
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
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
00:23:28.720 that parents raise
00:23:30.140 kids in the United
00:23:31.320 States is so messed
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
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
00:29:58.620 of ten are bullshit.
00:30:00.620 Right?
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
00:33:02.560 are watching, you guys kill it all
00:33:05.060 the time.
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.
00:35:13.620 I'll give you my, uh, dumb guy, not a doctor, not an
00:35:17.200 expert, um, thinking through it.
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
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.