Real Coffee with Scott Adams - Episode 1451 Scott Adams： The Worst Arguments For and Against Mask Mandates, Simone Biles, Biden Quote, More

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00:00:59.480 All right.

00:01:02.000 My favorite fake news of the day, and this is a good one.

00:01:06.300 Do you remember the, of course you do, the famous Laurel and Yanni,

00:01:12.000 where some people could hear the word Laurel,

00:01:14.860 and some people could hear the word Yanni on the same recording?

00:01:18.460 And we thought to ourselves, how is that possible?

00:01:21.640 And it must be like a trick that only applies to this one weird set of sounds

00:01:27.460 that they could sound the same while being different.

00:01:30.260 It turns out it's really easy to reproduce this effect,

00:01:34.620 and it happened with a Joe Biden video.

00:01:37.700 So somebody cleverly took his video where he was talking to the press,

00:01:44.520 and reportedly he's saying, what must be what?

00:01:49.180 Asking for a clarification of a question that he didn't hear

00:01:52.920 because the helicopter noise was above it.

00:01:55.840 Now, when you watch it, can you hear him say over the noise of the crowd

00:02:01.120 in the helicopter is, what must be what?

00:02:05.120 No, you can't.

00:02:07.200 Because when the first time you heard it,

00:02:10.020 you were probably primed by the social media video

00:02:14.240 to hear, my butt's been wiped. 0.61

00:02:17.220 So you see Biden walking up to the photographers and the reporters,

00:02:23.260 and he goes, my butt just got wiped. 0.81

00:02:27.600 My butt just got wiped.

00:02:29.980 And you really can't hear anything else after you've been primed.

00:02:35.220 Even after I heard what the White House claims,

00:02:38.520 he really said, it doesn't look like that.

00:02:42.540 It doesn't sound like it.

00:02:44.640 And I just watched it over and over again,

00:02:46.620 and I'm thinking, nope, even his lips are not going in the right way.

00:02:52.140 Right?

00:02:52.480 Even his lips didn't seem to match up with what must be what.

00:02:57.360 It looked like my butt's been wiped.

00:03:01.340 Now, I think that he did not say, my butt's been wiped.

00:03:04.940 But how many times are we going to see this trick?

00:03:07.960 This trick is going to happen a lot in politics.

00:03:10.920 As soon as you've been primed,

00:03:13.340 all you need is an indistinct sentence,

00:03:16.760 any kind of indistinct sentence,

00:03:19.080 and you can prime it with anything.

00:03:20.400 You're going to see a lot more of this,

00:03:23.240 and it's kind of fun.

00:03:26.780 All right.

00:03:27.700 Is there one topic that you're so damn sick of?

00:03:34.680 Not only in the real world, but talking about it?

00:03:38.580 My God.

00:03:40.400 Do we have to talk about masks again?

00:03:42.400 Yeah, we do.

00:03:43.480 We do.

00:03:44.180 But I'm going to try to take an angle into this

00:03:45.920 that's a little more interesting than the normal one.

00:03:47.960 And so the CDC is now saying

00:03:51.920 that the Delta variant is raging through the country,

00:03:54.720 which it is,

00:03:55.760 and that they want school kids to get to wear masks,

00:04:01.020 even if vaccinated.

00:04:02.800 Even vaccinated people should wear masks indoors

00:04:05.460 if they're in a higher substantial transmission area.

00:04:09.100 And, of course, they want vaccinations as much as they can get.

00:04:15.840 Now, how do you interpret this?

00:04:20.380 Is your interpretation that the CDC looked at the data,

00:04:24.900 they looked at the mask effectiveness data,

00:04:28.620 and they said to themselves,

00:04:30.180 this is a good time to apply the science.

00:04:33.320 Let's put some science on this baby. 0.99

00:04:35.700 And we've got our new data.

00:04:38.800 We've got data on mask effectiveness.

00:04:41.380 Oh, the infections are rising.

00:04:44.180 Masks work.

00:04:45.480 Boom, put them together.

00:04:46.580 Is that what happened?

00:04:48.220 Sounds right, doesn't it?

00:04:49.960 You know, when I describe it that way,

00:04:51.300 it sounds perfectly natural.

00:04:53.200 Infections are up.

00:04:55.060 Science has shown that the masks do work,

00:04:57.880 according to science.

00:04:59.140 That's their claim, not mine.

00:05:01.280 And so you put them together.

00:05:03.600 Or, or, what would be another interpretation

00:05:10.520 of why the CDC is requiring masks?

00:05:14.960 Because my first instinct was,

00:05:17.600 wait, you're punishing the people who did the right thing.

00:05:21.580 I got the vaccination,

00:05:23.200 which is the right thing according to my government.

00:05:26.380 And so if I did the right thing,

00:05:27.880 why am I being punished?

00:05:29.440 Well, of course, it's because we have new data

00:05:31.320 that says that even if you're vaccinated,

00:05:34.260 you can, you can transmit the virus.

00:05:37.120 You can even get the virus,

00:05:38.740 which, of course, you'd have to get to transmit.

00:05:42.240 And so it's new data.

00:05:44.760 So that's what's happening, right?

00:05:47.380 Let me suggest that there's another reason

00:05:49.980 for the mask mandate.

00:05:51.600 Anybody?

00:05:52.240 Anybody?

00:05:52.800 In the comments, see if you can beat me to it.

00:05:54.700 What's the other reason for the mask mandate

00:05:58.720 that they're not telling you?

00:06:02.420 Let's see if, let's see if you can get that.

00:06:08.060 What's the real reason?

00:06:10.940 All right.

00:06:11.500 The real reason, I think,

00:06:13.980 is to create one more reason to get a vaccination.

00:06:17.480 Now, you're saying to yourself,

00:06:18.560 but wait, that's opposite of what's happening.

00:06:21.280 Because the people who did get vaccinated

00:06:23.960 didn't get the benefit that they thought they would get,

00:06:26.300 at least in terms of freedom from masks.

00:06:30.620 So isn't that the opposite, Scott?

00:06:33.200 Like, you're actually just penalizing people

00:06:35.360 for getting vaccinated.

00:06:36.380 They got vaccinated,

00:06:37.760 and then they still have to wear a mask.

00:06:39.840 A penalty.

00:06:41.500 I don't think so.

00:06:42.960 I think this is a psyop.

00:06:45.140 I think this is so that the government could say,

00:06:47.960 well, we told you all to get vaccinated.

00:06:51.640 Did you listen?

00:06:53.120 Because if you had listened to us the first time,

00:06:56.360 nobody would need a mask.

00:06:58.860 But sorry, we know you hate the masks.

00:07:02.320 We know you hate it more than you hate anything.

00:07:04.960 So we're going to require the masks

00:07:07.240 because you didn't listen to us the first time.

00:07:11.740 I think that's what's happening.

00:07:13.580 Now, I also think masks work.

00:07:19.260 Can you handle the fact that I think masks work

00:07:22.540 at the same time that I don't think

00:07:24.820 that a vaccinated person should be forced to wear one?

00:07:29.580 Can you handle that?

00:07:31.260 I mean, this is the smart group here,

00:07:34.000 the people who follow me on livestream.

00:07:37.120 So there are not many people in my category.

00:07:39.620 Most people say, I don't like masks

00:07:42.480 because they don't work.

00:07:46.360 But can I say they do work?

00:07:49.440 I think.

00:07:50.400 You know, that's my judgment at the moment,

00:07:52.500 that they do work.

00:07:54.100 But if you're vaccinated, you shouldn't get one.

00:07:57.260 I think I can have that opinion.

00:07:59.500 All right.

00:08:01.600 We're going to talk about the worst arguments

00:08:03.340 for masks in a minute,

00:08:04.260 but let me do a few other things here.

00:08:05.460 So I read just in one source,

00:08:09.360 so I'd like to see a confirmation of this,

00:08:11.900 that the CDC is going to replace its PCR test,

00:08:15.160 the virus test,

00:08:16.720 with one that can differentiate

00:08:18.240 between the coronavirus and the seasonal flu.

00:08:21.640 Is that true, first of all?

00:08:23.860 Anytime I see a story in one source,

00:08:26.460 it doesn't matter what the source is,

00:08:27.900 my first thing is,

00:08:29.480 why is this not in all the other sources

00:08:32.000 at the same time?

00:08:32.980 So if it's true,

00:08:36.000 we're going to learn something interesting.

00:08:38.100 And I'm going to go with my personal conspiracy theory.

00:08:44.220 It's a conspiracy theory that I don't know

00:08:48.000 if there's more than one or two people in the world

00:08:49.940 who share it with me.

00:08:51.460 And it is that the regular seasonal flu

00:08:54.040 didn't really kill anybody.

00:08:56.140 And that it was just a statistical,

00:09:00.720 I don't know,

00:09:02.660 a statistical data-gathering artifact

00:09:05.980 that made it look like the flu was killing people.

00:09:09.260 The regular flu,

00:09:10.180 the normal seasonal flu.

00:09:11.660 I think that if we had actual data,

00:09:14.700 we would find that,

00:09:15.860 sure, you know,

00:09:16.540 a few hundred-year-olds die with the seasonal flu,

00:09:19.840 but basically it doesn't kill anybody

00:09:21.420 for all practical purposes.

00:09:23.200 All right.

00:09:26.440 That's what I think we're going to find.

00:09:28.040 Let's talk about Simone Biles.

00:09:29.720 So she dropped out of the Olympics.

00:09:31.240 She had some more competitions

00:09:33.440 that she would have done well in

00:09:34.820 if she had not dropped out.

00:09:36.400 And she dropped out because, she says,

00:09:38.600 no, she had a tough day yesterday, I guess,

00:09:40.420 or the day before.

00:09:41.860 And she said she was having mental health issues.

00:09:46.740 And so she was dropping out for her mental health.

00:09:49.160 What did America say about their champion

00:09:53.300 who dropped out because she wasn't feeling well?

00:09:56.720 Well, a lot of people said,

00:09:58.820 you know you're representing the country, right?

00:10:03.760 You do get that this isn't about you, right?

00:10:08.200 And maybe if it's tough,

00:10:09.800 you should just suck it up. 0.99

00:10:12.120 Heard a lot of that opinion this morning.

00:10:14.580 That's not my opinion.

00:10:15.480 My opinion is, I think I saw Dave Reboy,

00:10:19.580 if I'm pronouncing his name right,

00:10:21.420 say the same thing I'm going to say right now,

00:10:23.020 which is, we don't know what's going on in her head.

00:10:27.020 We don't know.

00:10:28.700 We only know what she told us.

00:10:30.920 You don't know what's happening in her head.

00:10:33.640 If what's happening in her head is really, really bad,

00:10:37.140 then she made the right decision.

00:10:39.460 If it's not that bad, well, then it would, you know,

00:10:42.360 you could argue that she should have sucked it up or something. 1.00

00:10:44.520 But you don't know how bad it is.

00:10:47.260 So how can you have an opinion

00:10:48.520 on whether she did the right thing?

00:10:50.880 It's just pure mind reading.

00:10:53.000 If it was horrible,

00:10:54.840 and it was just some living hell,

00:10:56.960 and she was genuinely concerned about her health,

00:11:00.000 that she might hurt herself competing in that way,

00:11:02.760 or at least embarrass herself and embarrass the country. 1.00

00:11:05.880 If that was her honest opinion,

00:11:08.180 based on her internal mental state,

00:11:12.200 who am I?

00:11:12.720 Who am I to doubt that?

00:11:14.020 Now, of course, I have a larger filter on the Olympics,

00:11:17.080 which is the Olympics are useless,

00:11:19.260 anachronistic,

00:11:21.360 probably more bad than good at this point.

00:11:23.600 And then it ruins the lives of young people, 0.98

00:11:25.860 such as Simone Biles,

00:11:27.700 although she had a great life from her skills so far.

00:11:31.660 She now has that thing about the Olympics 1.00

00:11:35.560 where her life will never be the same because of this.

00:11:38.540 So the Olympics,

00:11:39.980 you train your whole life for it.

00:11:41.400 You don't get the gold medal.

00:11:42.900 It's sort of a waste of time.

00:11:45.520 Yeah.

00:11:46.300 So I don't think the Olympics should be respected.

00:11:50.240 That's my view.

00:11:51.960 Well, well, well,

00:11:52.920 there's new news on ivermectin.

00:11:54.780 What do you think?

00:11:56.340 If I told you that there's a new,

00:11:58.140 highly credible,

00:11:59.340 something called the Cochran Review,

00:12:02.240 on ivermectin,

00:12:03.240 where they looked at the existing studies,

00:12:04.900 so it's not a new randomized controlled trial,

00:12:09.060 which would be great if there were.

00:12:11.260 It's, again,

00:12:12.460 somebody looking at the existing evidence.

00:12:15.580 And you know that people who have looked at the existing evidence say,

00:12:19.140 oh, it's really strong.

00:12:21.080 The existing evidence very clearly says

00:12:23.480 you should at least take a try on the ivermectin.

00:12:26.780 And you've heard Brett Weinstein say that famously.

00:12:29.320 You may also know that Andres Beckhaus,

00:12:33.020 my favorite critic of all things data and analysis,

00:12:38.120 said at the time that he wasn't convinced

00:12:39.980 that he thought one of the larger trials

00:12:43.060 that was in the review,

00:12:44.940 the meta-review of all the trials,

00:12:47.040 that one of the ones that probably influenced the average the most,

00:12:50.360 because it was a big one,

00:12:51.920 was weak.

00:12:53.820 So there might be one weak study that's biasing the whole thing.

00:12:57.260 And the Cochrane Review, I think, agreed with that

00:13:01.120 and said that the quality of the evidence is so low

00:13:04.580 that they essentially say

00:13:07.340 that there's no evidence that ivermectin works.

00:13:11.680 So the newest, respected meta-analysis

00:13:17.100 says that there were two bad quality studies

00:13:20.460 that were skewing it

00:13:21.800 and that we don't have evidence that it works.

00:13:25.080 Now, let me be clear.

00:13:28.020 They did not say the evidence shows it doesn't work.

00:13:32.560 They didn't say that.

00:13:33.880 So they haven't debunked it.

00:13:35.960 They've only debunked that the evidence shows it does work,

00:13:38.940 because apparently the range of possibility,

00:13:41.800 and given the low quality of the evidence,

00:13:44.260 the range of error is so big,

00:13:46.800 it might work and it might not.

00:13:49.000 They're just saying there's no evidence that it works.

00:13:51.280 Now, that's what Andreas Beckhaus said early on.

00:13:55.220 So if you're keeping score of who gets things right early,

00:14:01.140 there you go.

00:14:03.280 So I don't have an opinion on any of this analysis

00:14:08.060 because it's all a little bit beyond me,

00:14:10.060 and I haven't looked into it, of course,

00:14:11.820 in any detail.

00:14:13.200 But somebody says,

00:14:17.200 Brett dealt with this by removing that study,

00:14:19.340 and it still works.

00:14:20.480 Well, now there's two.

00:14:22.360 Two studies.

00:14:23.280 So I don't know if he removed the second one.

00:14:25.760 But the second one has the same problem, allegedly.

00:14:28.900 And that this Cochran review says that

00:14:31.280 if you consider the quality of the studies

00:14:34.780 and everything else combined,

00:14:36.980 their opinion is there's no evidence that it works

00:14:39.460 or doesn't work, really.

00:14:40.680 Just no evidence.

00:14:42.700 All right.

00:14:44.540 I saw a great tweet thread that I retweeted,

00:14:47.720 and you should read it too,

00:14:48.820 on the question of mask mandates.

00:14:52.580 And it's from Tricia Greenhalgh.

00:14:56.580 I'm not sure how to pronounce her last name.

00:14:59.120 She's a professor of primary care at Oxford

00:15:01.660 and does a great job of just laying out

00:15:04.780 what we know and what we don't know.

00:15:07.620 And most, not most,

00:15:12.100 maybe 100% of all the arguments I've ever had about masks

00:15:15.320 are with people who are not well informed.

00:15:19.560 Or they have a logic problem.

00:15:21.660 And I'm going to run through that.

00:15:23.000 Because I want to see if you're in any of these categories

00:15:25.460 that are logic errors as opposed to data errors.

00:15:30.360 Now, we could argue all day about who has the right data,

00:15:33.020 and sometimes we'll just never know.

00:15:34.840 But you can really know if somebody's logical.

00:15:38.020 That's something you can know for sure.

00:15:39.840 Because logic is pretty clear

00:15:41.920 if you've got somebody who can help you sort through it.

00:15:44.740 So I'm going to do that for you.

00:15:46.100 And I'm going to start with the most debunked mask arguments.

00:15:51.420 So what follows is my opinion

00:15:53.640 of what the consensus of science says.

00:15:58.380 All right?

00:15:58.840 So there's two things that could be wrong here.

00:16:01.360 One is my opinion of what science said right,

00:16:05.120 and that is science right.

00:16:07.060 All right?

00:16:07.280 So two ways I could be wrong.

00:16:08.760 One is I could be wrong,

00:16:11.120 and then also science could be wrong.

00:16:14.320 So you've got two potential errors.

00:16:17.300 So I'm going to keep my humility while I say this,

00:16:20.160 because I know people get really mad

00:16:21.480 when I act arrogantly certain.

00:16:24.240 I have to tell you that lots of times

00:16:29.980 when I appear certain,

00:16:32.980 you know, there's always a recording in my head

00:16:34.940 that plays and says,

00:16:36.440 well, you could be wrong.

00:16:38.120 And by the way, I recommend that

00:16:39.700 as a strategy for you going forward.

00:16:43.280 Just always have a little recording

00:16:45.800 that plays in your head that says,

00:16:47.480 well, but I could be wrong.

00:16:48.900 I mean, I'm pretty sure,

00:16:50.520 but I could be wrong.

00:16:51.280 So it's just a good thing to have playing

00:16:53.120 in your head all the time.

00:16:54.800 All right, so here are the debunked anti-mask arguments.

00:16:59.800 If you hold one of these arguments to be true,

00:17:03.700 just know that science disagrees with you

00:17:06.100 as best I can determine.

00:17:08.580 But I might be wrong.

00:17:10.300 Number one, science says masks don't work.

00:17:14.240 How many people think that's true?

00:17:16.220 How many people think that if you researched

00:17:18.240 what science says,

00:17:20.400 that you would discover that science in general,

00:17:24.000 not just one study or a study here or there,

00:17:26.580 but how many of you think that science

00:17:28.940 says masks don't work?

00:17:32.340 Okay.

00:17:32.680 If you think that science says masks don't work,

00:17:36.320 that's just wrong.

00:17:37.840 That's just wrong.

00:17:38.700 You won't find any actual scientist who says that.

00:17:41.520 You might find a scientist

00:17:42.940 who says that they don't work,

00:17:45.260 but you won't even find a scientist

00:17:47.420 who could agree with the statement

00:17:49.300 that other scientists don't think they work.

00:17:53.800 So the worst argument you could make

00:17:55.960 is to say that science says they don't work

00:17:58.200 and it's been proven in a study.

00:17:59.580 That's just not true,

00:18:00.760 as far as I can tell.

00:18:04.020 Now, that doesn't mean science is right.

00:18:06.640 Okay?

00:18:06.920 So we're still allowing

00:18:08.580 that science can say masks definitely work,

00:18:12.060 but science could be wrong.

00:18:13.880 Science has been wrong before.

00:18:16.300 But don't confuse that with what science says.

00:18:19.760 Science is very clear that they work,

00:18:21.480 even if they're wrong.

00:18:23.440 All right, how about this?

00:18:24.320 Masks only make a tiny difference.

00:18:26.080 Well, the tweet thread I referenced

00:18:28.500 talks about how these tiny differences multiply.

00:18:32.060 So even if masks only made a tiny difference,

00:18:35.080 still totally worthwhile in a pandemic.

00:18:38.200 The math makes that true.

00:18:41.640 So if that was your argument,

00:18:43.420 that's been debunked.

00:18:44.780 Again, it doesn't mean you're wrong.

00:18:47.420 It just means it's been debunked

00:18:49.120 by people who know more than you and I know.

00:18:51.800 All right, how about the masks harm people,

00:18:54.100 either because you're not getting enough oxygen

00:18:56.640 or you're breathing in your own germs too much

00:18:59.660 or you left your nasty mask laying in a drawer

00:19:03.240 for three weeks,

00:19:04.840 breathing germs and put it back on.

00:19:07.320 So how about that?

00:19:09.280 Well, there's no evidence that masks have hurt anybody.

00:19:12.760 So now we've got people all over the world

00:19:15.020 wearing masks for a year

00:19:16.360 and no evidence at all,

00:19:18.900 according to at least this professor in Oxford.

00:19:24.100 There's no evidence that the masks have hurt anybody.

00:19:27.300 So if your argument was wearing the mask itself

00:19:29.580 could hurt you, no evidence.

00:19:32.220 Okay?

00:19:32.720 Now again, is that true?

00:19:36.440 I don't know.

00:19:37.920 I'm just telling you it's been debunked.

00:19:40.060 Doesn't mean the debunk is true.

00:19:42.260 How about this argument,

00:19:44.000 that masks don't block viruses

00:19:46.260 because viruses are too small

00:19:48.380 and they can't go through these...

00:19:49.560 or the viruses are so small

00:19:52.060 that they easily go through

00:19:53.020 these gigantic holes in the masks.

00:19:57.160 Debunked.

00:19:58.560 Totally debunked.

00:20:00.280 Because the virus travels on water particles,

00:20:03.680 most of the water particles,

00:20:04.780 or at least a lot of the big ones,

00:20:06.500 are trapped in the mask.

00:20:07.840 That's why your mask is moist when you take it off.

00:20:10.620 Yes, something gets out by the sides,

00:20:12.460 but if you're stopping that hose cannon of virus

00:20:16.060 going directly into the person you're talking to,

00:20:19.020 it's better than having something go out the side

00:20:21.660 and diffuse into the atmosphere.

00:20:26.160 So the argument about masks leak around the edges

00:20:28.800 is true but irrelevant.

00:20:31.800 Okay?

00:20:32.340 It's true that masks leak.

00:20:34.600 It's not relevant.

00:20:35.980 It's true that viruses are way smaller

00:20:38.840 than the holes in the masks.

00:20:40.240 It's not relevant.

00:20:42.460 Because they travel on water particles,

00:20:44.500 many of which do get stopped,

00:20:46.520 and you don't have to stop them all.

00:20:49.020 Masks do not stop all of the virus

00:20:51.320 because plenty is getting out the sides

00:20:53.020 and let's say you're fussing with it

00:20:55.100 and you wear it improperly.

00:20:57.320 That's not an argument.

00:21:00.940 Because science has shown that masks work.

00:21:04.560 If science had shown that masks don't work,

00:21:07.980 in other words,

00:21:08.520 the population shows no difference,

00:21:10.440 masked or unmasked,

00:21:11.320 if they'd shown that,

00:21:13.240 then you could say to yourself,

00:21:14.280 well, probably the reasons are

00:21:15.460 because the masks are not stopping all the virus.

00:21:18.140 But if the masks work,

00:21:21.380 and science knows that,

00:21:23.540 let's say they're right for argument,

00:21:25.780 then you don't have to argue about the little stuff.

00:21:28.160 You don't have to argue about the people

00:21:29.500 messing with it with their hands,

00:21:31.780 wearing it improperly,

00:21:33.060 it's not the best mask,

00:21:34.380 because it gets out the side.

00:21:35.300 None of that matters if you've looked at the whole population

00:21:40.060 and they drove down infections with masks,

00:21:43.440 but all the places that they didn't have masks,

00:21:45.480 it didn't work.

00:21:46.640 Now, you can argue with the data,

00:21:49.360 but if you accept that masks worked to lower infections,

00:21:54.680 then all of the arguments about the holes in the masks

00:21:57.180 and the size of the virus and the sides

00:21:59.440 and all that is irrelevant.

00:22:02.400 So if you made your argument against masks

00:22:04.620 based on any of the minor parts

00:22:07.000 about the leakage,

00:22:08.660 the size of the mask,

00:22:09.860 the fussing with them,

00:22:11.040 the wearing them right,

00:22:12.320 none of those are relevant

00:22:13.600 if,

00:22:15.740 this is a big if,

00:22:17.580 if it's true that science is right,

00:22:20.440 that we see the big difference

00:22:22.240 when people wear the masks.

00:22:23.300 So you would not be rational or logical

00:22:27.300 to consider the smaller things

00:22:30.180 if we've tested the big thing that it worked.

00:22:34.260 All right.

00:22:36.860 Here are some of the worst arguments I've saw this morning.

00:22:41.720 Here's one.

00:22:42.420 The Mayo Clinic tells you how to properly wear a mask.

00:22:45.980 Therefore, masks don't work

00:22:47.740 because people will not wear them properly.

00:22:51.080 So the argument is,

00:22:52.080 why would the Mayo Clinic

00:22:53.800 make such a big deal

00:22:54.940 about how to wear them properly

00:22:56.380 unless they knew that people

00:22:58.320 would wear them improperly

00:22:59.740 in a large amount

00:23:00.680 and therefore would make them a waste of time?

00:23:04.560 That's the worst argument I've ever heard.

00:23:07.080 Because again,

00:23:08.480 if the data shows that they do work on average

00:23:11.280 for any population that uses them,

00:23:13.960 it just doesn't matter if somebody

00:23:16.200 or some number of people

00:23:17.740 are not doing it right

00:23:18.720 because it still works.

00:23:20.760 The numbers show it.

00:23:22.080 And here's another bad thinking.

00:23:26.540 I have links of studies from before the pandemic

00:23:29.620 saying masks don't work.

00:23:32.800 What?

00:23:33.400 What good is your data from before the pandemic?

00:23:36.500 If the data from the pandemic

00:23:39.940 clearly shows they work,

00:23:42.740 and again,

00:23:44.000 they could be wrong,

00:23:45.180 but that's what science says.

00:23:46.860 If it clearly shows it does work during the pandemic,

00:23:50.360 why are you trying to convince me

00:23:52.000 with links from before the pandemic

00:23:54.560 showing the masks don't work

00:23:56.440 when it's been proven they do?

00:23:59.600 I don't know.

00:24:00.000 Now,

00:24:00.580 I suppose you could say

00:24:01.340 that studies of masks,

00:24:04.080 it might be hard to sort out

00:24:05.880 what is the social distancing

00:24:07.240 because that works too.

00:24:08.980 I don't know.

00:24:10.300 But I'm guessing they probably figured out

00:24:12.020 how to sort that out of there.

00:24:13.960 All right.

00:24:14.340 So,

00:24:14.840 here's my final take on masks for today.

00:24:18.000 I'm an anti-masker

00:24:21.920 for people who are vaccinated.

00:24:24.160 In my opinion,

00:24:24.900 if you've been vaccinated,

00:24:26.640 you know what your risks are.

00:24:28.560 Very, very low.

00:24:30.240 And if you're unvaccinated,

00:24:32.400 you also know what your risks are,

00:24:35.120 or should.

00:24:35.840 I mean,

00:24:36.100 it's on you if you don't know it at this point.

00:24:38.340 And what about freedom?

00:24:40.980 What about freedom?

00:24:42.480 If you don't want to wear a mask,

00:24:44.820 I'm fine with that,

00:24:46.800 vaccinated or not.

00:24:48.700 Now,

00:24:49.080 of course,

00:24:49.540 you have the problem of

00:24:50.620 keeping the hospitals

00:24:52.000 from being overrun.

00:24:53.680 But I'm going to make an assumption

00:24:55.020 that needs to be checked,

00:24:57.180 which is that our therapeutics

00:24:59.320 are so good now,

00:25:00.700 and we've,

00:25:01.420 you know,

00:25:01.700 there's a learning curve

00:25:02.780 about how to handle COVID,

00:25:04.180 et cetera,

00:25:05.000 that probably the odds

00:25:06.120 of getting overrun

00:25:07.220 in our hospitals

00:25:08.860 is probably low

00:25:09.860 in the United States.

00:25:12.340 Can somebody do a,

00:25:13.660 give me a fact check on that,

00:25:15.020 if in fact that's fact checkable?

00:25:18.000 I'm going to say that

00:25:19.200 we've done so well

00:25:20.360 with therapeutics

00:25:21.780 that we won't overrun

00:25:26.100 the hospitals

00:25:26.640 with or without masks.

00:25:28.020 It just won't make any difference.

00:25:29.520 I mean,

00:25:29.740 there will be a difference in level,

00:25:30.940 but it won't overrun

00:25:32.400 the hospitals.

00:25:34.480 And,

00:25:35.140 oh,

00:25:35.980 our hospital

00:25:36.440 is currently overrun,

00:25:38.240 eliminating overnight surgeries,

00:25:39.680 and they say it's from COVID.

00:25:44.280 Interesting.

00:25:44.920 I don't know where that is,

00:25:45.740 Derek,

00:25:46.280 in what,

00:25:47.660 so I'm seeing hospitals

00:25:49.020 in New Jersey are fine.

00:25:51.520 You know,

00:25:52.460 I don't know if the hospitals

00:25:54.560 are overrun

00:25:55.620 has to do with the fact

00:25:57.320 that some hospitals

00:25:58.140 are specializing in COVID.

00:26:00.300 Could it be that only

00:26:01.200 the specialized ones

00:26:02.560 are overrun?

00:26:04.180 Or the ones that

00:26:05.200 have a focus on that now?

00:26:06.880 Or is that not a thing?

00:26:07.740 All right,

00:26:09.140 so this is an open question.

00:26:10.600 We do see that there might be

00:26:11.780 some hospital problems.

00:26:14.340 And I think the degree

00:26:15.320 of the hospitals

00:26:16.080 being overrun

00:26:17.700 would definitely have an impact

00:26:19.180 on my opinion.

00:26:21.500 But,

00:26:22.640 I don't need,

00:26:23.920 I don't have a

00:26:24.500 confirmation on that.

00:26:27.460 Boston hospitals are fine.

00:26:30.320 Could be more obese people

00:26:32.060 in some places.

00:26:33.320 Yeah.

00:26:35.440 Does anyone know,

00:26:36.440 anyone with COVID right now?

00:26:37.940 I do.

00:26:38.480 Yes,

00:26:38.840 I have a family member

00:26:39.840 with COVID.

00:26:42.520 Not my house.

00:26:44.040 Extended family member.

00:26:48.460 All right.

00:26:51.220 Best friend got it?

00:26:52.260 Yeah,

00:26:52.480 so some of you do.

00:26:53.800 All right,

00:26:54.160 there's a Rasmussen poll

00:26:55.840 coming up today

00:26:56.580 that's going to show

00:26:59.340 Biden at a record low

00:27:01.260 presidential approval.

00:27:02.820 Now,

00:27:04.340 record low,

00:27:06.140 you know,

00:27:06.480 just means it's lower

00:27:07.620 than what's been.

00:27:08.380 It doesn't mean it's

00:27:09.180 in the toilet.

00:27:11.060 But,

00:27:11.380 I don't know,

00:27:13.620 it seems like,

00:27:14.440 it seems about right.

00:27:16.060 Because,

00:27:17.500 COVID is what

00:27:18.320 completely

00:27:19.520 took Trump out,

00:27:21.100 don't you think?

00:27:23.200 COVID,

00:27:24.620 imagine Trump

00:27:25.580 running for re-election

00:27:26.480 without the coronavirus.

00:27:28.520 I think he would have

00:27:29.420 just waltzed

00:27:30.080 into a second term.

00:27:31.320 Would most of you

00:27:32.800 agree with that?

00:27:33.820 That without the coronavirus

00:27:34.860 he would have just,

00:27:36.180 Trump definitely

00:27:37.100 would have got a second term?

00:27:38.220 I think so.

00:27:40.500 But I wonder

00:27:41.200 if Biden will have

00:27:41.880 the same problem,

00:27:42.920 which is if he puts

00:27:43.940 in mask mandates

00:27:45.020 and does a bunch of things

00:27:46.420 that people don't like,

00:27:47.780 that even his own party

00:27:48.720 will get turned off.

00:27:50.260 And we might see,

00:27:51.240 you may be seeing

00:27:51.960 the beginning of that

00:27:52.880 a little bit.

00:27:53.900 I mean,

00:27:54.080 I don't think more than

00:27:54.780 5% of the public

00:27:55.780 ever changes their mind

00:27:56.900 on presidents.

00:27:58.280 But we might be seeing

00:27:59.720 our sub-5%,

00:28:01.300 5% to change

00:28:02.280 and it might get to that.

00:28:03.960 All right,

00:28:04.100 here's a question

00:28:04.700 for all of you.

00:28:07.260 Oh,

00:28:07.680 and it might be

00:28:08.160 because of China.

00:28:09.160 You're right.

00:28:09.780 Yeah,

00:28:10.140 Biden has a China problem.

00:28:13.220 And how have we gone

00:28:14.360 so long

00:28:14.960 without a

00:28:16.120 Hunter-Biden scandal

00:28:18.140 blowing up

00:28:18.820 into some larger thing?

00:28:20.580 It's really amazing

00:28:21.680 what the

00:28:22.260 deep state

00:28:24.660 and the news

00:28:26.540 can keep out of the news.

00:28:28.620 Anyway,

00:28:28.900 all right,

00:28:30.760 new question.

00:28:32.820 This is a question

00:28:33.580 for all of you.

00:28:34.160 I want to see your answers

00:28:34.840 in the polls.

00:28:35.460 For those of you

00:28:36.080 who got the

00:28:36.960 vaccination,

00:28:39.340 is it my imagination

00:28:40.600 that the

00:28:42.720 coronavirus

00:28:43.260 vaccination

00:28:44.500 was unusually

00:28:46.600 unpainful?

00:28:48.620 Meaning,

00:28:49.060 I barely knew

00:28:50.260 what happened.

00:28:50.800 I was literally,

00:28:52.100 I didn't know

00:28:52.640 that they gave me

00:28:53.300 the shot.

00:28:54.840 Now,

00:28:54.960 did anybody have

00:28:55.520 that same

00:28:56.040 experience?

00:28:57.080 And somebody

00:28:57.600 speculated that

00:28:58.480 the needle

00:28:58.900 is smaller

00:28:59.500 or that

00:29:00.800 it's a small,

00:29:03.500 it's a micro needle

00:29:04.460 and

00:29:06.460 oh,

00:29:09.000 that's a good word,

00:29:10.140 a micro needle.

00:29:11.900 Oh.

00:29:13.380 Now,

00:29:13.880 of course,

00:29:14.300 we had side effects

00:29:15.280 after in many cases.

00:29:17.060 But

00:29:17.300 I'm not talking

00:29:19.440 about after the shot.

00:29:21.140 Somebody says

00:29:21.700 mine hurt badly.

00:29:23.080 I'm talking

00:29:23.520 about the actual

00:29:24.460 shot itself.

00:29:25.340 As it goes

00:29:25.760 into your arm,

00:29:26.820 I couldn't even

00:29:27.420 feel it.

00:29:29.380 And what I did

00:29:30.580 feel was

00:29:31.320 like not even

00:29:32.380 a pinch,

00:29:32.920 really.

00:29:33.400 It was just

00:29:33.780 a feeling.

00:29:35.540 Yeah.

00:29:36.100 Now,

00:29:36.600 I wonder

00:29:37.200 if people

00:29:38.440 who are afraid

00:29:39.000 of needles,

00:29:40.760 and since

00:29:41.440 I'm not afraid

00:29:42.040 of needles,

00:29:42.500 I can't really

00:29:42.940 get in the heads

00:29:43.540 of people who are.

00:29:45.000 I don't like

00:29:45.840 them,

00:29:46.660 but I'm not

00:29:47.080 afraid of them.

00:29:49.340 I wonder

00:29:50.040 if people

00:29:50.580 would be

00:29:52.260 more inclined

00:29:52.980 to get the

00:29:53.440 vaccination

00:29:53.800 if they knew

00:29:54.920 that the

00:29:55.360 vaccinations

00:29:55.940 are unusually

00:29:57.340 unpainful

00:29:58.000 in terms

00:29:59.460 of the

00:29:59.680 vaccination

00:30:00.040 itself.

00:30:01.800 How many

00:30:02.400 of you,

00:30:02.980 let's see,

00:30:03.420 for those

00:30:03.940 of you

00:30:04.200 who might

00:30:04.540 be afraid

00:30:04.960 of needles,

00:30:06.120 would you

00:30:06.640 be persuaded

00:30:07.440 by the fact

00:30:09.000 that if you

00:30:09.440 were looking

00:30:09.860 away,

00:30:10.620 you just

00:30:10.920 don't see

00:30:11.380 it,

00:30:11.640 you wouldn't

00:30:11.960 even know

00:30:12.280 it happened?

00:30:13.560 Barely.

00:30:14.280 They'd have

00:30:14.620 to tell you

00:30:15.040 it happened.

00:30:16.020 Would anybody

00:30:16.600 be persuaded

00:30:17.320 by that?

00:30:18.860 Oh,

00:30:19.220 I'm seeing

00:30:19.520 some yeses.

00:30:20.580 Oh my

00:30:21.060 goodness.

00:30:23.100 I'm actually

00:30:23.820 a little

00:30:24.060 surprised.

00:30:24.660 I didn't

00:30:24.880 know if

00:30:25.220 that was

00:30:25.580 actually

00:30:25.880 part of

00:30:26.200 the

00:30:26.320 psychology.

00:30:27.660 So some

00:30:28.680 of the

00:30:28.960 psychology

00:30:29.500 about fear

00:30:30.140 of needles

00:30:30.540 has to do

00:30:31.260 with the

00:30:31.660 needle

00:30:31.920 itself

00:30:32.460 and how

00:30:33.900 it feels,

00:30:34.960 the pain,

00:30:36.540 would reduce

00:30:37.180 the anxiety.

00:30:38.520 All right,

00:30:39.020 and I'll go

00:30:39.540 one level

00:30:40.080 further.

00:30:41.400 If you

00:30:42.040 heard that

00:30:42.780 the vaccination

00:30:43.500 won't hurt

00:30:45.000 when you get

00:30:45.580 it,

00:30:46.040 just the

00:30:46.640 point of

00:30:47.160 vaccination,

00:30:48.420 because they

00:30:49.040 were using

00:30:49.460 a microneedle

00:30:50.440 instead of

00:30:50.940 a regular

00:30:51.380 needle.

00:30:53.400 Now,

00:30:53.860 I don't

00:30:54.040 know what

00:30:54.260 a microneedle

00:30:54.980 is.

00:30:55.280 I don't

00:30:55.480 even know

00:30:55.800 if that's

00:30:56.100 a thing.

00:30:56.620 I'm just

00:30:56.860 making up

00:30:57.260 a word,

00:30:57.680 right?

00:30:57.900 I saw

00:30:58.160 somebody say

00:30:58.700 it in the

00:30:59.020 comments.

00:30:59.820 But if

00:31:00.180 somebody said,

00:31:01.200 oh,

00:31:01.320 this isn't a

00:31:01.880 regular needle,

00:31:02.940 for the

00:31:03.740 vaccination,

00:31:04.420 they use a

00:31:05.120 microneedle and

00:31:05.880 you don't

00:31:06.160 feel it.

00:31:08.540 Wouldn't that

00:31:09.160 change your

00:31:09.700 psychology of it?

00:31:11.820 They don't

00:31:12.400 use a

00:31:12.780 regular needle,

00:31:13.540 they use a

00:31:15.060 microneedle and

00:31:15.900 you can barely

00:31:16.360 feel it.

00:31:18.720 Now,

00:31:19.300 remember,

00:31:20.260 everybody has

00:31:20.960 a different

00:31:21.740 trigger for

00:31:23.220 persuasion.

00:31:24.560 So,

00:31:25.080 if I said

00:31:25.800 something might

00:31:26.960 be persuasive,

00:31:27.940 but 90% of

00:31:28.920 you would be

00:31:29.380 unpersuaded by

00:31:30.320 it,

00:31:30.660 it's still a

00:31:31.120 good idea.

00:31:32.300 If you

00:31:32.640 could persuade

00:31:33.240 10% of

00:31:34.240 people on

00:31:34.920 anything,

00:31:36.100 just any

00:31:36.560 topic,

00:31:37.020 if you could

00:31:37.380 move 10%

00:31:38.060 of the people,

00:31:39.160 that's gigantic

00:31:40.100 persuasion.

00:31:41.480 That's really

00:31:42.000 big.

00:31:42.380 it's a

00:31:45.000 regular

00:31:45.320 needle.

00:31:46.920 Somebody says

00:31:47.760 it's a

00:31:48.080 regular

00:31:48.360 needle,

00:31:50.400 and whoever

00:31:51.420 says it,

00:31:52.040 says I

00:31:52.740 administer the

00:31:53.460 vaccine.

00:31:54.820 Is it the

00:31:55.660 same size as

00:31:56.680 the needle you

00:31:57.380 use to draw

00:31:58.460 blood?

00:31:59.780 Because when I

00:32:00.640 think of needles,

00:32:01.700 the needle I

00:32:02.820 see most often

00:32:04.100 in my adult

00:32:04.900 life is when

00:32:07.500 I'm just

00:32:07.840 getting a blood

00:32:08.360 test for one

00:32:09.100 thing or another,

00:32:10.320 and they put

00:32:11.100 that blood

00:32:11.700 drawing needle

00:32:12.280 in you and

00:32:12.880 it kind

00:32:13.840 of hurts?

00:32:15.160 It's kind

00:32:15.560 of scary?

00:32:17.060 Yeah.

00:32:17.580 I think the

00:32:18.120 blood drawing

00:32:18.760 needle is

00:32:19.320 probably a

00:32:19.780 thicker needle,

00:32:20.640 and they've

00:32:21.020 got to find

00:32:21.460 the right

00:32:21.880 place to

00:32:22.320 put it and

00:32:22.800 all that.

00:32:24.600 So I

00:32:27.280 guess calling

00:32:27.740 it a

00:32:28.200 micro needle

00:32:28.880 doesn't help,

00:32:30.560 but I have

00:32:31.820 to believe,

00:32:33.240 is it because

00:32:34.320 they don't have

00:32:34.980 to find a

00:32:35.480 vein?

00:32:35.680 maybe that's

00:32:38.020 it.

00:32:40.500 So the

00:32:41.140 blood drawing

00:32:41.660 needle is

00:32:42.220 larger,

00:32:42.740 which makes

00:32:43.140 sense.

00:32:44.400 So I

00:32:44.800 got a

00:32:45.080 feeling that

00:32:45.500 people think

00:32:47.780 of that

00:32:48.100 blood drawing

00:32:48.820 needle when

00:32:49.420 they think

00:32:49.760 of the

00:32:49.980 vaccination.

00:32:52.520 Micro

00:32:52.920 needles are

00:32:54.160 patches,

00:32:54.880 if that makes

00:32:55.320 sense.

00:33:00.600 Blood

00:33:01.080 cells,

00:33:01.780 blood

00:33:03.920 donating

00:33:04.440 needles are

00:33:05.100 bigger,

00:33:05.620 okay.

00:33:06.480 So there

00:33:06.900 is such a

00:33:07.700 thing as

00:33:08.400 larger and

00:33:09.640 smaller needles.

00:33:11.020 Well, I

00:33:11.480 don't know

00:33:11.720 about, okay,

00:33:13.400 here, Cap

00:33:13.980 Cat is

00:33:14.440 saying something

00:33:14.920 I was looking

00:33:15.360 for, it's

00:33:15.860 intramuscular.

00:33:17.800 Suppose you

00:33:18.480 knew that they

00:33:19.060 didn't have to

00:33:19.540 find a vein,

00:33:20.380 it's intramuscular

00:33:21.340 so you won't

00:33:21.940 feel it at

00:33:22.420 all.

00:33:25.940 All right,

00:33:28.240 I was just

00:33:28.620 testing that out.

00:33:29.880 So that's

00:33:30.420 about all

00:33:30.780 that's going

00:33:31.200 on.

00:33:31.780 Today, is

00:33:33.360 there any

00:33:33.600 topic I

00:33:34.140 missed today?

00:33:36.160 If there

00:33:36.740 is, I'll

00:33:37.240 jump into

00:33:38.900 it.

00:33:39.360 Hey, Dean.

00:33:41.860 So there

00:33:42.500 are a variety

00:33:43.020 of needle

00:33:43.760 sizes.

00:33:44.740 Well, anyway,

00:33:45.800 the way

00:33:46.520 persuasion

00:33:47.100 works is

00:33:48.320 that you

00:33:48.840 get a

00:33:49.420 hypothesis of

00:33:50.580 what might

00:33:51.040 persuade people

00:33:51.840 and then you

00:33:52.240 just try it,

00:33:53.360 you see what

00:33:53.860 reaction you

00:33:54.460 got, and

00:33:54.860 if it works,

00:33:55.420 you do more

00:33:55.920 of it, and

00:33:56.360 if it doesn't

00:33:56.800 work, you

00:33:57.260 try something

00:33:57.900 else.

00:33:58.780 So in

00:33:59.100 A-B

00:33:59.520 testing, I

00:34:01.400 think the

00:34:02.560 government, if

00:34:03.500 the government

00:34:03.940 wants to

00:34:04.440 persuade people

00:34:05.120 to get

00:34:05.520 vaccinated, they 1.00

00:34:07.140 should put a

00:34:07.620 little bit of

00:34:08.060 effort into

00:34:08.580 finding out if

00:34:09.380 describing the

00:34:10.380 actual needle

00:34:11.220 situation gets

00:34:13.760 you a little

00:34:14.700 bit more

00:34:15.280 compliance.

00:34:18.860 And again, if

00:34:20.400 you don't want

00:34:20.800 to get a

00:34:21.060 vaccination, that's

00:34:21.880 okay with me.

00:34:22.520 All right, oh,

00:34:26.620 talk about

00:34:27.040 Larry Elder.

00:34:27.740 It looks like

00:34:28.200 Larry Elder is

00:34:28.960 shooting to the

00:34:29.560 top of the

00:34:29.960 pack for a

00:34:31.900 possible replacement

00:34:32.960 for Gavin Newsom

00:34:34.660 in the recall

00:34:35.960 election.

00:34:37.600 And I have to

00:34:39.000 admit, I haven't

00:34:39.560 done any kind of

00:34:40.700 a deep dive on

00:34:41.960 Larry Elder, but

00:34:43.660 everything I know

00:34:44.760 about him, just

00:34:45.480 from observing him

00:34:46.860 on TV for years,

00:34:48.560 et cetera, is he's a

00:34:50.020 really good

00:34:50.400 communicator, and he

00:34:52.160 seems to be very

00:34:53.320 commonsensical,

00:34:55.360 meaning that he

00:34:56.360 doesn't buy into

00:34:57.080 crazy stuff.

00:34:58.580 So I don't know

00:34:59.500 if that makes a

00:35:00.060 good governor, but

00:35:01.920 I know that what

00:35:02.660 we're doing now is

00:35:03.580 not optimal.

00:35:06.020 So I feel like he

00:35:08.600 could win, and I

00:35:10.760 feel like maybe it's

00:35:12.000 time to try

00:35:13.360 something else.

00:35:15.360 So, oh, Ed

00:35:16.080 Buck, I guess Ed

00:35:17.000 Buck got prosecuted,

00:35:18.780 a Democrat

00:35:19.560 fundraiser.

00:35:22.160 was doing some

00:35:23.200 bad things with

00:35:24.220 some men in his

00:35:25.980 home.

00:35:27.800 But that story

00:35:28.820 isn't very

00:35:29.200 interesting.

00:35:29.700 That's just a

00:35:30.220 criminal story.

00:35:32.820 All right.

00:35:35.780 Yeah, the Ed

00:35:36.640 Buck story has

00:35:37.420 lots of, you

00:35:38.380 know, lots of

00:35:39.520 intrigue and

00:35:40.120 drama and stuff

00:35:40.820 in it, but

00:35:41.220 ultimately it's not

00:35:42.160 important to us.

00:35:46.040 Except that Adam

00:35:46.960 Buck is Adam

00:35:47.700 Schiff's friend.

00:35:49.320 All right.

00:35:49.660 Oh, somebody

00:35:51.060 says Alex

00:35:51.640 Berenson was

00:35:52.320 banned on

00:35:52.820 Twitter.

00:35:54.220 Can somebody

00:35:54.800 confirm that?

00:35:55.780 Did that happen

00:35:56.280 today?

00:35:57.900 Now, when I did

00:35:58.460 my...

00:36:00.660 What happened?

00:36:02.220 We have

00:36:02.440 determined you

00:36:02.960 have violated...

00:36:03.660 Oh, it looks

00:36:04.200 like Alex

00:36:04.680 Berenson was

00:36:05.720 banned on

00:36:07.220 Twitter.

00:36:07.820 Or at least

00:36:08.500 suspended.

00:36:09.400 I think he's

00:36:09.880 suspended for 12

00:36:10.720 hours, it looks

00:36:11.260 like.

00:36:12.300 So...

00:36:12.660 All right.

00:36:15.480 That's about

00:36:17.720 all we got

00:36:18.160 for now.

00:36:18.940 We're still

00:36:19.240 waiting for the...

00:36:20.600 Are we still

00:36:21.240 waiting for the

00:36:21.840 Arizona audit?

00:36:23.860 Can somebody

00:36:24.600 tell me what

00:36:25.080 happened to the

00:36:25.580 Arizona audit?

00:36:27.280 Weren't we

00:36:27.840 supposed to know

00:36:28.420 about that by

00:36:29.020 now?

00:36:30.340 And I'm going

00:36:31.480 to double down

00:36:33.440 or triple down

00:36:34.220 on my prediction

00:36:35.200 that if you

00:36:36.560 haven't heard

00:36:37.160 something from

00:36:37.740 the Arizona

00:36:38.300 audit yet that's

00:36:40.500 just absolutely

00:36:41.300 damning, I

00:36:43.560 don't know that

00:36:44.060 they have

00:36:44.440 anything.

00:36:45.480 It feels like

00:36:46.280 it would be

00:36:46.660 deeply unlikely

00:36:47.560 that the audit

00:36:49.120 would have, you

00:36:50.120 know, proof of

00:36:50.820 fraud and that

00:36:52.140 you wouldn't

00:36:52.540 know it by

00:36:53.040 now?

00:36:53.920 Really?

00:36:54.960 It wouldn't

00:36:55.540 leak a little

00:36:56.240 bit?

00:36:57.340 I notice that

00:36:57.820 there's some

00:36:58.220 leaks that come

00:36:59.020 out, but they

00:36:59.580 get debunked as

00:37:00.620 soon as they

00:37:00.980 do.

00:37:03.300 Airports are

00:37:03.940 shut down.

00:37:04.680 What?

00:37:07.300 I don't know

00:37:07.980 what you're

00:37:08.240 talking about.

00:37:09.460 Airports are

00:37:10.080 shut down.

00:37:11.660 China forced 0.92

00:37:12.700 mandatory

00:37:13.280 testing.

00:37:15.480 All right.

00:37:16.280 This comment

00:37:16.900 keeps going

00:37:17.580 by too

00:37:18.360 quickly and I

00:37:19.360 can't read

00:37:19.780 it.

00:37:20.660 Airports are

00:37:21.240 shut down.

00:37:24.820 Yellow

00:37:25.820 quarantine.

00:37:26.760 Okay.

00:37:27.960 You can stop

00:37:28.940 putting that in

00:37:29.380 the comments

00:37:29.820 because it

00:37:30.200 keeps going

00:37:30.620 by too

00:37:31.040 fast for me

00:37:31.780 to read

00:37:32.160 it.

00:37:32.300 All right.

00:37:35.460 They said no

00:37:36.340 release of

00:37:36.840 information until

00:37:37.740 the final.

00:37:38.680 Yeah, but this

00:37:40.240 is the real

00:37:40.700 world.

00:37:41.680 In the real

00:37:42.200 world, if they

00:37:42.900 had the

00:37:43.280 goods, you

00:37:44.960 would know

00:37:45.400 it by now.

00:37:46.700 Like, if I'm

00:37:47.820 wrong about

00:37:48.300 that, that

00:37:49.960 would be

00:37:50.320 shocking.

00:37:52.280 And I

00:37:52.820 could be.

00:37:53.540 Remember, I

00:37:54.020 got that

00:37:54.420 recording in

00:37:55.120 the back of

00:37:55.480 my head.

00:37:55.800 I could be

00:37:56.220 wrong.

00:37:57.200 You know, it

00:37:57.460 could be the

00:37:58.000 first time

00:37:59.160 somebody has

00:37:59.940 world-changing

00:38:01.520 news and lots

00:38:03.040 of people are

00:38:03.580 involved and

00:38:04.700 they're mostly

00:38:05.300 amateurs or

00:38:06.480 people just

00:38:07.580 working on

00:38:08.040 this project

00:38:08.700 act and

00:38:10.040 they don't

00:38:10.300 tell anybody?

00:38:12.800 Maybe.

00:38:14.180 You know,

00:38:14.520 maybe.

00:38:15.860 But I

00:38:16.560 doubt it.

00:38:18.000 So if

00:38:18.740 that's what's

00:38:19.240 happening, that

00:38:19.880 will be the

00:38:20.220 biggest surprise

00:38:20.840 in the world.

00:38:22.340 I've got a

00:38:22.900 feeling that

00:38:23.380 what's...

00:38:23.800 Let me make

00:38:24.380 a prediction

00:38:24.820 what's going

00:38:25.280 to come out

00:38:25.640 of the

00:38:25.940 Arizona audit.

00:38:28.500 Ambiguity.

00:38:30.600 If you had

00:38:31.340 to bet on

00:38:32.740 a clear result

00:38:34.040 in the future

00:38:34.760 on any topic

00:38:35.700 versus an

00:38:37.300 ambiguous result

00:38:38.320 in the future

00:38:38.800 where people

00:38:39.580 are going to

00:38:39.960 interpret it

00:38:40.460 as two

00:38:40.820 different movies,

00:38:42.240 always bet on

00:38:43.020 the two movies

00:38:43.760 in 2021.

00:38:45.300 Anyway, maybe

00:38:45.920 it was different

00:38:46.360 in the past.

00:38:47.460 But the odds

00:38:48.040 are that the

00:38:49.740 audit will

00:38:50.800 create what

00:38:52.480 the people who

00:38:53.180 already thought

00:38:54.040 there was fraud

00:38:54.980 will consider

00:38:56.100 proof.

00:38:57.600 And the people

00:38:58.220 who say there

00:38:58.800 was no fraud

00:38:59.640 will consider

00:39:00.560 debunked.

00:39:03.500 You know

00:39:04.220 that's coming,

00:39:05.260 right?

00:39:06.680 You know

00:39:07.460 that what's

00:39:07.900 coming is

00:39:08.840 two movies.

00:39:10.200 One that

00:39:10.800 proves the

00:39:11.500 election was

00:39:12.460 fake and

00:39:13.820 one that

00:39:14.240 proves it

00:39:14.940 wasn't.

00:39:15.980 They're both

00:39:16.500 going to be

00:39:16.860 playing at the

00:39:17.400 same time in

00:39:18.020 a month.

00:39:18.860 I guarantee

00:39:19.380 it.

00:39:20.240 I guarantee

00:39:20.860 that whatever

00:39:21.620 the Arizona

00:39:22.280 audit says,

00:39:23.400 it will form

00:39:24.020 two complete

00:39:24.760 movies that

00:39:25.820 will live

00:39:26.260 forever.

00:39:27.800 Does anybody

00:39:28.500 disagree with

00:39:29.120 that, by the

00:39:29.520 way?

00:39:30.540 By now, you

00:39:31.360 all know that's

00:39:31.960 true, right?

00:39:32.680 You've all seen

00:39:33.560 the cycle

00:39:34.780 repeat so many

00:39:35.600 times.

00:39:36.520 Was there

00:39:36.900 Russian collusion

00:39:38.380 in the

00:39:40.040 2016 election?

00:39:42.040 Two movies.

00:39:43.600 We'll live

00:39:44.140 forever.

00:39:49.660 Why do you

00:39:50.460 keep saying

00:39:50.960 China isn't 0.99

00:39:51.800 affected by

00:39:52.980 COVID?

00:39:54.100 Well, relative

00:39:54.760 to how much

00:39:55.820 the rest of the

00:39:56.420 world is

00:39:56.820 affected.

00:39:58.440 If you have

00:39:59.380 other information,

00:40:00.960 let me know.

00:40:01.560 But I

00:40:04.340 haven't seen

00:40:04.700 it.

00:40:06.440 All right,

00:40:07.100 Gene.

00:40:08.960 I agree.

00:40:10.060 This is

00:40:10.420 boring.

00:40:10.900 And that's

00:40:11.140 why I'm

00:40:11.480 going to

00:40:11.680 help you

00:40:12.160 by hiding

00:40:13.520 you on

00:40:13.940 this channel.

00:40:15.300 Goodbye.

00:40:16.740 All right,

00:40:17.020 that's all.

00:40:19.100 Oh, Fox

00:40:19.700 News is saying

00:40:20.380 the Arizona

00:40:20.900 audit finds

00:40:21.580 massive fraud.

00:40:23.020 Turn on

00:40:23.460 CNN.

00:40:24.680 CNN will

00:40:25.280 say,

00:40:26.440 stories of

00:40:27.060 massive fraud

00:40:27.780 all debunked.

00:40:29.040 Doesn't mean

00:40:29.600 it's true,

00:40:30.140 but you

00:40:31.160 know they're

00:40:31.460 both going

00:40:31.840 to happen.

00:40:33.860 Did you

00:40:34.340 see Anomaly's

00:40:35.280 debate with

00:40:35.880 Stixenhammer

00:40:36.520 666?

00:40:37.380 I didn't.

00:40:38.180 When did

00:40:38.520 that happen?

00:40:40.540 If that's

00:40:41.120 on video,

00:40:41.900 I'd watch

00:40:42.240 that for

00:40:42.600 sure.

00:40:46.300 I keep

00:40:47.020 telling you

00:40:47.880 nine million

00:40:48.640 citizens of

00:40:49.840 Nanjing

00:40:50.920 mandatory

00:40:51.440 testing.

00:40:52.760 Yeah, but

00:40:53.080 you know,

00:40:53.700 that doesn't

00:40:54.260 even come

00:40:54.660 close to

00:40:56.580 the size of

00:40:57.420 the problem

00:40:57.820 you'd expect

00:40:58.740 from that

00:40:59.780 being ground

00:41:00.260 zero.

00:41:01.460 So, yeah,

00:41:02.380 nine million

00:41:02.820 people with

00:41:03.400 mandatory

00:41:03.820 testing,

00:41:04.640 it means

00:41:05.500 they're taking

00:41:05.880 us seriously,

00:41:07.120 but it

00:41:07.860 doesn't mean

00:41:08.520 they have

00:41:08.820 the same

00:41:09.140 level of

00:41:09.540 problem

00:41:09.820 with other

00:41:10.220 people.

00:41:14.920 Wish

00:41:15.400 Steve Crowder

00:41:16.280 well,

00:41:16.720 somebody says.

00:41:17.360 What's

00:41:17.560 happening

00:41:17.800 with Steve

00:41:18.200 Crowder?

00:41:21.400 All right.

00:41:23.300 The

00:41:23.760 Stix

00:41:24.020 debate is

00:41:24.620 on

00:41:24.880 bit

00:41:25.120 shoot.

00:41:26.460 Stix

00:41:26.940 killed

00:41:27.300 him.

00:41:28.760 I'll

00:41:28.960 bet he

00:41:29.260 did.

00:41:29.780 I saw

00:41:32.400 a little

00:41:32.660 bit of

00:41:32.980 their

00:41:33.120 exchange

00:41:33.680 on

00:41:34.220 Twitter,

00:41:35.060 so I

00:41:35.340 would

00:41:35.460 imagine

00:41:35.780 that.

00:41:37.040 All

00:41:37.200 right.

00:41:42.060 So,

00:41:42.800 in China

00:41:43.700 you can't

00:41:44.180 leave home

00:41:44.740 without a

00:41:45.260 red,

00:41:45.520 yellow,

00:41:45.820 or green

00:41:46.200 card,

00:41:46.800 mandatory

00:41:47.200 quarantine

00:41:48.100 centers.

00:41:49.440 Yeah,

00:41:49.760 but with

00:41:50.200 all of

00:41:50.580 that,

00:41:51.760 with all

00:41:52.560 of that,

00:41:53.880 they're

00:41:54.140 nowhere near

00:41:54.820 where you

00:41:55.240 would expect

00:41:55.800 them,

00:41:56.260 just

00:41:56.480 commonsensically,

00:41:57.660 in the

00:41:58.760 pandemic.

00:41:59.660 There is

00:42:00.720 still a

00:42:01.280 giant

00:42:01.540 mystery of

00:42:02.840 what's

00:42:03.060 going on

00:42:03.480 over there.

00:42:06.480 What?

00:42:07.160 Crowder is

00:42:07.720 having

00:42:07.920 complications

00:42:08.680 in a

00:42:09.280 collapsed

00:42:09.700 lung?

00:42:10.940 From

00:42:11.460 what?

00:42:11.820 Did he

00:42:13.260 have an

00:42:13.500 accident of

00:42:13.980 some kind?

00:42:15.580 I'll catch

00:42:16.560 up on that.

00:42:17.760 All right,

00:42:18.300 that's all

00:42:19.720 for now,

00:42:20.300 and I

00:42:20.720 will talk

00:42:21.140 to you

00:42:21.560 tomorrow.

00:42:23.040 heel

00:42:47.780 now.

Real Coffee with Scott Adams - July 28, 2021

Episode 1451 Scott Adams： The Worst Arguments For and Against Mask Mandates, Simone Biles, Biden Quote, More

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