Real Coffee with Scott Adams - August 01, 2020


Episode 1078 Scott Adams: Defund the Police a Smart Way, Fauci Misdirection, How to do a Convention, HCQ


Episode Stats

Length

1 hour

Words per Minute

149.99261

Word Count

9,136

Sentence Count

358

Misogynist Sentences

2

Hate Speech Sentences

8


Summary


Transcript

00:00:00.000 Bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum, bum.
00:00:11.740 Well, I was asked the other day, why do I always do this three times?
00:00:19.320 And it's because I do this first on live stream.
00:00:22.700 A lot of people will see it in replay.
00:00:24.020 But those of you on live stream will feel a sense of,
00:00:28.040 It's almost like on your computer when you're watching a progress, you know, the little progress monitor.
00:00:34.800 Don't you feel better when you can see progress that your computer program is working?
00:00:40.520 Well, that's what this is.
00:00:41.940 I do this at the same routine so that as soon as you get on, you say to yourself,
00:00:47.560 oh, I got in about the paper shuffling time or he's taking a simultaneous sip.
00:00:54.900 Speaking of which, I've got a special guest in a moment.
00:00:58.620 But first, first, it's a simultaneous sip.
00:01:02.260 And it's the thing you do before a great day happens.
00:01:06.160 And today is going to be a great day.
00:01:09.620 You don't know it yet, and maybe not for everybody, but it's going to be a great day.
00:01:15.860 And all you need to get this day going is a cup or mug or a glass, a tank or chalice or stein,
00:01:21.100 a canteen jug or flask, a vessel of any kind, fill it with your favorite liquid.
00:01:26.800 I like coffee.
00:01:29.100 And join me now for the unparalleled pleasure, the dopamine hit of the day,
00:01:33.020 the thing that makes everything better.
00:01:35.580 Traffic, pandemics, fleas, you name it, everything.
00:01:40.760 Go.
00:01:40.940 Go.
00:01:41.000 Sublime.
00:01:48.860 Now, if technology serves me, we'll have a quick guest here,
00:01:55.580 and it looks like this is going to work.
00:01:57.340 So, very excited.
00:01:59.120 It's always fun when it works.
00:02:04.200 David Middleband, are you there?
00:02:07.640 From Othram.
00:02:09.420 Now, those of you who have been watching my Periscopes, you are familiar.
00:02:14.600 I think you've heard of Othram, O-T-H-R-A-M.
00:02:17.940 And can you explain what Othram does for those who haven't heard?
00:02:21.080 Just a quick summary of what the company does.
00:02:23.380 Yeah, what we do at Othram is we're a forensics laboratory that develops identities for people
00:02:31.640 that are either victims or perpetrators of crimes.
00:02:35.160 And we can analyze a crime scene sample, look at the DNA, figure out who is involved in the crime,
00:02:41.000 even if they're not in the FBI CODIS system or the traditional forensic database.
00:02:47.380 So, the basic idea is that the regular police have a database of people who have been arrested or convicted.
00:02:57.460 Generally, you end up in the CODIS system if you've been convicted.
00:03:00.920 And, you know, it varies from state to state.
00:03:04.000 Sometimes you're convicted, but you still don't make it into the database.
00:03:07.600 And sometimes there's ways to get the database upon arrest.
00:03:11.720 So, the police have this very small, limited database.
00:03:15.520 And if they get lucky, they get some DNA at a crime scene.
00:03:19.380 And by chance, it's somebody who already committed a crime, already was convicted,
00:03:24.500 and they had their DNA, and they got in the database, and they checked it.
00:03:29.460 But with your company, you have a broader net.
00:03:34.120 And describe just as quickly why you can get more DNA samples than the police.
00:03:39.580 Why do you have access to more stuff?
00:03:42.260 We use a different process.
00:03:43.780 The police, as you noted, the FBI system indexes you on a few markers and then tracks folks that commit repeat crime.
00:03:52.560 What we're able to do is we're able to get all the genomic information from a crime scene sample and then use that to do related testing
00:03:59.640 and look even for distant relatives that might be connected to help us figure out where the unknown person might fit on the family tree.
00:04:07.180 So, you can imagine that even the smallest scrap of information can be useful in finding someone that is even remotely connected to you.
00:04:14.620 And any of those relationships can help us essentially triangulate or reverse engineer an identity, or at least a nearest relative.
00:04:21.640 All right.
00:04:21.820 Now, let me tie this into the headlines to make this relevant to all of you.
00:04:26.060 The big conversation in the news is defunding the police.
00:04:29.620 And that sounds crazy, right?
00:04:31.240 Who wants less police when you have just as much crime?
00:04:34.300 But I think that actually there is a smart way to do it.
00:04:38.840 And the smart way to do it is to create situations in which getting away with a crime is effectively impossible.
00:04:47.140 So, as you drive toward it's impossible to get away with it, in theory, the number of people who try a crime that they know they'll get caught for should go down,
00:04:57.820 and therefore the number of police you need should go down.
00:05:00.680 So, this is one of – there are probably a dozen technologies in private companies that police do not have direct access to,
00:05:07.720 everything from facial recognition to drone things and now DNA technologies.
00:05:13.980 But there are a number of technologies that could drive the ability to get away with a crime really close to zero.
00:05:21.580 And I don't think you'd have to get all the way to Big Brother.
00:05:24.180 I see some comments saying that.
00:05:25.900 And this is relevant because in the news, Ivanka Trump is spearheading a – I guess an effort to try to solve a bunch of cold cases specifically for the Native American community and the Alaskan Natives
00:05:41.900 because I guess it's an underserved community and they have all these DNA and cold case samples that they can't solve.
00:05:49.760 So, how many of these cold cases in the sense of – if they have some DNA from the case – what percentage of all these cases that Ivanka is targeting to get some resolution to,
00:06:04.680 what percentage of those do you think Othram could solve if you were brought into this?
00:06:09.360 I think that on the upfront side, you would probably solve, you know, somewhere close to 75 percent and then it will converge very closely on over 90 percent.
00:06:20.640 And that's in contrast to what you would see with like a typical system right now where sex assault reveals identity through code as 15 percent of the time.
00:06:29.780 Identified remain is like 1 percent of the time.
00:06:31.940 All right. Now, put yourself in the head of a criminal and you've got two possibilities.
00:06:37.720 The old way is that there was a 15 percent chance of getting caught for, let's say, some violent crime that would leave your DNA.
00:06:45.800 But what happens if it goes to 90 or 100 percent?
00:06:49.760 Are you exactly as likely to do the crime?
00:06:52.240 Well, if it's a crime of passion or you're crazy or it's revenge or something, maybe yes.
00:06:56.060 But I got to think that if there were a steady stream of reports of cold cases being solved, what does that do to your mental understanding of risk?
00:07:11.020 So, David, would you imagine that there will be lots of stories coming out of the kind you're describing where a really cold case that couldn't be solved suddenly is easy to solve?
00:07:22.660 And what's that going to do to the criminal mind? Is something like that coming?
00:07:27.280 Yeah. I mean, there's been a steady flow of cases that are that are that are being solved.
00:07:31.120 We've got dozens that are that are going to be announced in the next month or two.
00:07:34.400 And I think I think what that does is, you know, people have argued, do we have stricter punishment?
00:07:39.320 Do we have, you know, what demotivates people to commit crime?
00:07:42.800 And I think I think severity of punishment hasn't been very effective.
00:07:46.360 But I think knowing that you're going to get caught, you know, I think is a huge deterrent.
00:07:50.420 And at this point, if you're going to leave, whether on purpose or by accident, DNA somewhere, there's almost a certainty that you'll be caught.
00:07:58.860 If not immediately, very soon, the technology continues to develop.
00:08:02.400 And so I think it's going to make people think twice.
00:08:04.740 Certainly, it's going to retire the idea of I think I think repeat crime or serial crimes will probably converge on extinction.
00:08:12.440 Yeah. Well, that's interesting. Serial crimes will converge on extinction.
00:08:20.700 That's that's that's a phrase that you couldn't even imagine before.
00:08:25.200 But that sounds entirely practical to me. All right.
00:08:28.320 Thanks. I just wanted to get a quick hit on that and try to connect some things I've been trying to connect.
00:08:33.860 But just more generally, I think that defunding the police, if you change that into your mind, into how do you make less crime happen in the first place, then you get to defunding the police indirectly.
00:08:47.320 Thank you, David. David Middleman from Othram, O-T-H-R-A-M.
00:08:53.360 Thank you for coming. All right.
00:08:54.580 All right. You're going to see more on that in the coming months in the news, I think, as cold cases get solved.
00:09:04.540 Raul Davis on Twitter had a great idea. I'll just put this out there.
00:09:10.300 Probably. I don't know if it's practical, but you decide.
00:09:14.020 So Raul Davis, CEO, branding expert.
00:09:17.020 He's on Twitter and he said that any convention that's smart would make it a national event.
00:09:22.340 To rent out drive-in theaters across the country and project their candidate on the big screen.
00:09:28.500 So think of this idea. You do a bunch of pop-up drive-ins.
00:09:32.680 You don't have to use existing drive-ins. There aren't that many.
00:09:36.120 But you could do a pop-up.
00:09:37.560 You know, just put up a screen or project against a white wall or something.
00:09:43.040 And it would be pretty easy to live stream and project something.
00:09:47.140 That's really common and cheap and easy to do.
00:09:49.700 So you could have a drive-in theater situation where you've got a virtual convention that happens all over the country at the same time.
00:09:58.340 And imagine that you're sitting there.
00:10:00.260 You're watching the convention on TV.
00:10:02.900 It's streamed. There's no live audience.
00:10:05.700 And you hear the horns honking.
00:10:08.680 Wherever you were, you'd hear honking for applause or whatever.
00:10:13.640 And it'd be fun.
00:10:15.500 It'd be really fun, wouldn't it?
00:10:16.740 Now, I don't know if you can keep it safe enough with bathrooms and whatever you need to do.
00:10:21.480 But I believe there are drive-in theaters that are open.
00:10:25.820 So I know they've figured out the bathroom and whatever else they have to figure out.
00:10:30.740 So that would be – the thing I like about this idea almost has nothing to do with politics.
00:10:38.420 And I don't care who does it, you know, Democrats or Republicans.
00:10:41.220 It has more to do with the fact that Americans just want to participate.
00:10:46.500 We just want to get in the car.
00:10:48.860 We just want to go somewhere.
00:10:50.740 We want to be at an event.
00:10:52.400 We want to see some other people.
00:10:54.140 We just need to get out of the house, you know, in some safe, productive way.
00:10:58.180 So that idea does both.
00:11:00.320 I love that.
00:11:00.740 There's a lot of conversation, and I haven't weighed into it much at all, about mail-in votes.
00:11:09.980 And the reason that I haven't talked about it is I don't quite understand it, meaning that there's something about the argument about why the – what are the two categories?
00:11:22.560 There's the absentee ballots, which we've had forever, and they seem to work fine, but everybody voting by mail is more of a problem.
00:11:33.040 And I think that has to do with the fact that if everybody just gets a ballot, whether they want it or not, a lot of people will – it will be mailed to the wrong place.
00:11:42.320 It will be mailed to a dead person.
00:11:44.540 Somebody else will pick up the mail and fill it out for you.
00:11:48.060 You know, so you can imagine a whole bunch of problems like that.
00:11:50.780 And I've got to say, it's a tough one, because I certainly understand why states want to do it, and I completely understand how open to fraud it would be.
00:12:01.500 But here's the question I have.
00:12:03.380 Is there any way to test that ahead of time?
00:12:06.520 And I couldn't think of one, but you can smell it before you can see it sometimes.
00:12:12.100 Sometimes I feel as if there's somebody who would be smart enough to say, well, why don't we just test 1,000 sample votes?
00:12:21.700 But I just don't know that you could design the test so it would be good enough.
00:12:25.200 But I hope somebody is smart enough, because we have enough time.
00:12:29.960 So if you could do – let me describe the bad version of it.
00:12:33.760 And so when you hear this idea and you say to yourself, well, Scott, there's an obvious flaw in your idea, I know that.
00:12:40.180 I know that.
00:12:40.800 This is the bad version.
00:12:42.180 I'm just trying to inspire somebody else to say, well, I could fix that problem, and maybe I can make this into something.
00:12:49.260 So the bad version would be this.
00:12:52.060 Do you do a test of 1,000 citizens?
00:12:54.180 I don't know.
00:12:54.580 Are they random?
00:12:55.380 Or do you have to tell them they're in the test?
00:12:57.500 I'm not sure which makes sense.
00:12:59.200 And you just see if the process can flow from actually receiving it to filling it out to mailing it.
00:13:08.540 But I guess you'd have the problem that nobody would be trying to cheat.
00:13:12.780 So if it's a test, there's nobody trying to thwart the test.
00:13:16.680 So it may be impossible.
00:13:19.040 But I would put that out there to people who are smarter than I am about anything to see if there is a way to test that.
00:13:27.360 I just wonder.
00:13:27.960 Now, I saw there was a news report of a local correspondent.
00:13:33.120 I think he did a local test of mailing some ballots, and he discovered that there were some problems in the post office.
00:13:39.880 I think three out of 100 ballots didn't make the whole process, which is way too many.
00:13:46.880 Imagine an election in which you were pretty sure 3% of the votes got lost.
00:13:52.400 And that wouldn't be much of an election, given how close our elections are.
00:13:56.640 So I would say my opinion on all of this is I'm just as concerned as other people.
00:14:05.500 But I think we have the weirdest situation in the world here in which I don't know that we have an opportunity to have a credible vote this time.
00:14:18.000 Because there's so much going on and so many accusations on both sides of irregularities and voter suppression and mail-in votes and every other thing,
00:14:29.240 that I don't even know if we have the option of a fair election.
00:14:33.840 It just might not even be an option.
00:14:36.720 So what do you do if you can't have a fair election for president?
00:14:42.100 What do you do?
00:14:42.980 So here's what I think we would do.
00:14:47.520 In a normal year, it doesn't make that much difference who's president, right?
00:14:52.760 If you looked in the past, that was the thing that pundits said all the time.
00:14:58.080 Well, it doesn't matter who you elect.
00:14:59.860 They just raise your taxes anyway.
00:15:01.680 Well, Democrat, Republican, doesn't matter.
00:15:04.940 You still end up in a war.
00:15:06.000 But I don't know that that's true in 2020.
00:15:09.860 The difference between Biden and Trump, that might be the biggest difference we've ever seen.
00:15:16.540 You know, the difference between Hillary Clinton and Trump, you could argue was, well, that's a pretty big difference.
00:15:22.780 But it's not gigantic, right?
00:15:25.020 The country would still look like the United States if Hillary Clinton had been elected.
00:15:30.220 You might not like elements of it, but still the United States.
00:15:34.540 If Biden gets elected, you know, he would be the most progressive candidate.
00:15:40.620 And I'm not going to have an opinion on whether that's good or bad.
00:15:44.240 I'm just saying it's the most different from what Trump offers.
00:15:49.140 So this time, the result really could change the fate of the country.
00:15:53.560 In my opinion, given that it's such a big difference, Trump is probably the safest in terms of risk management,
00:16:03.020 simply because you know what the last four years look like.
00:16:06.660 And even if you didn't like those last four years, you'd have to admit that if you subtracted the pandemic, look pretty good.
00:16:15.100 Look pretty good.
00:16:16.000 We didn't start any big wars.
00:16:18.760 We ended some wars.
00:16:19.960 We wound down that.
00:16:21.040 The economy was good.
00:16:21.800 So if you were even a little bit objective and you said to yourself, you know, I don't know what's going on here.
00:16:29.060 Biden could be a big problem and we wouldn't even know who got elected, really.
00:16:34.000 And then the progressive stuff is sufficiently big enough changes.
00:16:39.280 Yeah, I'm not going to say radical because that's just politicizing the speech.
00:16:43.220 It's a big enough change that any big change introduces a new set of risks.
00:16:48.320 So there is a different risk profile, and I would argue that the Biden risk is far bigger because it's an unknown and also a big change.
00:16:58.540 Trump is closer to a known if he gets reelected.
00:17:02.820 You're going to see some tweets you don't like.
00:17:05.700 There are going to be some fact checking that doesn't look good.
00:17:09.500 You know, there will be world leaders who say some bad things about Trump.
00:17:14.300 You know, it's guaranteed what that looks like 90%, right?
00:17:18.920 Always some surprises, but you kind of know what a Trump president's going to look like.
00:17:23.620 So if you have this much uncertainty about the result, you have basically one way to get a safe outcome that doesn't drive the country apart.
00:17:36.720 And it's a landslide election for Trump.
00:17:39.200 Now, that might happen anyway, but the republic is going to be a little bit at risk if we go the other way.
00:17:50.560 It's impossible to know exactly risk, but I would say that doing, you know, the, what's the saying?
00:17:57.700 The evil that you know is better than the evil you don't know.
00:18:01.440 So even if you don't like Trump as president, you kind of know what you're getting.
00:18:05.720 That's my point.
00:18:07.380 Apparently, Trump said on Air Force One that he's planning to ban TikTok in the United States.
00:18:14.200 How about that?
00:18:15.540 So TikTok, as you know, is the app that is owned by a Chinese company, and therefore the assumption is,
00:18:22.660 and it's been determined that the code actually does this,
00:18:25.780 it's collecting a lot of information on Americans and kids in particular, and so that will be banned.
00:18:33.880 The decoupling of the United States from China, I think it's just, it's a thing now,
00:18:41.700 meaning that you don't have to wonder if it's happening.
00:18:45.200 And I don't think it was, this was hard to imagine a year ago, wasn't it?
00:18:49.040 Imagine a year ago that we would be sitting here saying that we are actively decoupling our economy from China.
00:18:56.380 It was hard to imagine.
00:18:58.580 I was asking for it a year ago, and I was pretty early on the banned TikTok train,
00:19:05.040 so things are going the way that I want them to go.
00:19:10.200 Have you ever noticed that almost everything in the United States goes the way I want it to go in the long run?
00:19:19.200 It's the weirdest coincidence, isn't it?
00:19:21.100 It's something I noticed in my 20s.
00:19:23.440 So when I was in my 20s, I wasn't talking publicly about politics or big, big events,
00:19:29.980 but I would have preferences, and then I would watch, and I'd think, oh, that's interesting.
00:19:35.640 The very thing I was hoping would happen, it happened.
00:19:39.160 It happened so often that it's sort of freaky.
00:19:45.780 I mean, seriously, a year ago, I was lobbying as hard as you possibly could to decouple from China,
00:19:53.100 and then banning the TikTok, but even I didn't think it was necessarily going to happen.
00:19:58.740 It felt like quite a reach.
00:20:02.800 Here we are.
00:20:05.180 What about opening schools?
00:20:06.760 I continue to say that education is a national security matter, especially if you're doing it wrong.
00:20:18.220 If you're doing it wrong, the federal government has to fix it because it's national security.
00:20:23.920 You can let the states experiment and let the states do the thing
00:20:27.240 and let the states take the lead on education in normal times.
00:20:32.040 As long as they're getting the job done, let the states educate the kids.
00:20:37.380 Take the lead.
00:20:38.780 But if the states stop educating the kids, it's a national security problem
00:20:45.840 because educated kids create a good economy.
00:20:48.960 A good economy allows you to have a good military and protect yourself in a variety of ways.
00:20:53.600 So certainly we're reaching a point where the federal government might need to take control in some fashion.
00:21:03.780 I would certainly like to see an executive order that limited the power of the teacher unions.
00:21:09.880 That would be one thing that might be productive.
00:21:13.000 And because the teachers unions apparently are the, I would say,
00:21:18.760 they're the base problem for every problem in the United States right now.
00:21:22.920 And that's a big claim, right?
00:21:25.060 That the teachers unions are the base problem for every big problem in the United States.
00:21:31.600 But it's true.
00:21:33.200 Because if you educated children better, if there were more options,
00:21:39.820 and it's the teachers unions that limit the options,
00:21:43.160 so you can't have competition and a free market for teaching.
00:21:46.660 Therefore, it can't evolve in the way that it naturally would to its best form.
00:21:50.940 And kids who are in bad school systems are just trapped, don't have an option.
00:21:56.480 So as long as that situation exists, there's a national security issue there.
00:22:02.160 And that needs to get resolved.
00:22:05.360 Now, at the same time, I'm completely on board with the notion
00:22:08.960 that teachers did not sign up to be frontline healthcare workers,
00:22:14.180 or they didn't volunteer to be on the front line of a war.
00:22:19.080 Now, can we force them to do it just because it's a national security concern?
00:22:25.520 Well, maybe, sort of, kind of.
00:22:28.020 But we do have a volunteer military.
00:22:31.360 So we should have, and we have a voluntary medical community.
00:22:35.960 We should have a voluntary teacher situation if the danger goes, you know, is high like it is.
00:22:43.040 Well, it's not high.
00:22:43.980 But if there's a danger, it just has to be voluntary, in my opinion.
00:22:50.940 So how can you best open schools and keep everybody safe?
00:22:54.520 Let me give you this suggestion.
00:22:56.800 The kids themselves seem pretty safe.
00:22:58.640 If it's the teachers who are worried, I would offer this option,
00:23:02.960 that teachers could have an in-class physical body who is either a young person
00:23:10.120 or somebody who has recovered from coronavirus and, therefore, has presumably some protection,
00:23:17.760 and that you could have the regular teacher on video all the time,
00:23:23.860 and, you know, they do the class plans and the decision-making.
00:23:28.640 But you have a physical human being in the classroom just to make sure that anything physical
00:23:34.060 gets taken care of, et cetera.
00:23:36.640 So that would be one model.
00:23:38.040 I don't know if anybody's considered that.
00:23:40.880 I do also like the pod teaching model where the kids will get together in little groups
00:23:47.420 and do some stuff at home.
00:23:50.800 I do like the pod idea.
00:23:53.420 But as I've often said, and let me put it in this context,
00:23:57.640 I think the pandemic, as horrible and tragic as it is,
00:24:01.620 and the lines for people in my town who are lining up just to get food,
00:24:07.380 you know, food that's delivered by some form of government,
00:24:12.060 it's getting pretty long.
00:24:13.760 I live in a high-end neighborhood,
00:24:16.480 and there was a pretty long line for food yesterday, for food.
00:24:21.840 So let's not forget that's still top priority.
00:24:26.540 But that said, there's a saying in business that if you don't cannibalize your own products,
00:24:33.840 your competition will.
00:24:35.960 So if you don't make your next version of your product so good
00:24:39.460 that all of your customers don't want the last version,
00:24:43.520 that's what your competitor will do.
00:24:45.180 They'll make the version your customers go to.
00:24:47.300 And you need to continually destroy what you have in regular business to build the new thing.
00:24:56.100 So for a company like Apple, destruction and creation happen at the same time.
00:25:02.640 They're destroying their old products by creating the new products.
00:25:07.100 School isn't like that.
00:25:08.880 School is just sort of ossified, and it is what it is,
00:25:12.280 and it's hard to change, and there's not much competition.
00:25:14.500 If you could change that so that schools could destroy themselves
00:25:18.960 while they're creating something better,
00:25:21.720 in other words, free market, free competition,
00:25:24.840 best one survives, the bad one doesn't,
00:25:27.640 that situation, how much better could school be?
00:25:30.840 How much better?
00:25:32.200 Probably a lot.
00:25:34.640 What is your guess of how much better,
00:25:37.680 and of course this is like a conceptual number,
00:25:39.680 but do you think that the free market would make education 10% better?
00:25:46.180 Because 10% would be quite a big impact,
00:25:50.720 you know, on the size of the economy.
00:25:52.440 It would be quite, quite big, a 10% improvement.
00:25:55.960 But is it more than 10%?
00:25:58.400 Maybe it's 50%.
00:25:59.820 Maybe it's 400%.
00:26:02.460 All right?
00:26:04.060 Because imagine if you had a better learning experience,
00:26:07.000 somehow you got rid of the bullies,
00:26:08.680 you never had a bad teacher,
00:26:10.980 and you learned the right things in the right way.
00:26:16.360 I feel like it's a 4x benefit.
00:26:20.080 It doesn't feel like a 10% benefit to me.
00:26:23.180 To me, it feels like a 400% kind of situation.
00:26:28.260 And again, we're talking about national security.
00:26:31.420 You know, we're talking about the economy in the future,
00:26:33.700 because the kids drive the economy in the future.
00:26:35.780 I think this is one of the biggest opportunities this country's ever had.
00:26:43.300 And this will be maybe a contrarian.
00:26:45.460 No, I think it's not a contrarian.
00:26:47.420 A lot of people are coming around to this.
00:26:49.300 That the pandemic, nobody would have asked for it,
00:26:52.580 but it might fix the big country.
00:26:54.780 Yeah, and I say this all the time,
00:26:58.360 that the schools are even, in my opinion,
00:27:00.700 and therefore the teachers' unions,
00:27:03.220 are the cause of systemic racism in this country.
00:27:07.480 Now, I'm playing a little loose with the wording here.
00:27:10.640 When I say the cause,
00:27:12.100 I mean the cause of it being a problem.
00:27:14.920 So systemic racism,
00:27:16.040 it really is built into the fabric of everything.
00:27:18.960 You know, there's a ripple from slavery.
00:27:20.640 That's real.
00:27:21.980 But is it bothering Oprah?
00:27:25.260 No.
00:27:26.280 Because if you're successful and you have money
00:27:28.040 and, you know, your life is working well,
00:27:31.840 systemic racism isn't hurting you much.
00:27:35.980 So if you can simply improve education,
00:27:39.360 improve the economics of anybody who's a person of color,
00:27:43.020 isn't that going to change their situation
00:27:45.000 and how they feel about systemic racism,
00:27:48.900 even if it's still there.
00:27:50.980 It'll be kind of like background noise.
00:27:55.060 All right.
00:27:57.960 I've decided I want to see if I can reclaim some of my humanity
00:28:02.400 by being less of a jerk on Twitter.
00:28:07.480 If you follow me on Twitter,
00:28:09.080 most of you do, I think,
00:28:10.660 you know that I can be a jerk sometimes.
00:28:15.400 And I'm not proud of it.
00:28:17.800 I was reading an article yesterday
00:28:19.420 about how social media
00:28:21.620 sort of takes our humanity
00:28:24.740 into a conceptual place
00:28:26.520 where when I'm zinging somebody on Twitter,
00:28:31.000 the sensation I get is as if it's a video game.
00:28:35.040 And that is really dangerous.
00:28:37.660 That's really dangerous.
00:28:39.300 I mean, think about that.
00:28:41.080 And let me put this in context.
00:28:43.260 When I started out on Twitter,
00:28:44.840 I had zero followers.
00:28:47.860 And I made it sort of my mission
00:28:50.540 not to cheat too much
00:28:52.760 and use the Dilber thing
00:28:53.920 to grow my Twitter account.
00:28:56.180 I wanted to see if I could grow it
00:28:57.840 by doing things that you do on Twitter.
00:29:00.800 And I wanted to talk about politics.
00:29:03.080 And I wanted to see if I could grow users,
00:29:06.540 followers, not users, but followers,
00:29:08.680 because I was doing the right things
00:29:11.160 and giving them something they wanted.
00:29:13.020 So I sort of made a point of it
00:29:15.080 to grow organically.
00:29:17.900 And so now I've got over half a million followers.
00:29:21.500 And the thing that I'm cautioning myself about
00:29:25.560 is that when I had a hundred followers,
00:29:34.520 if I weighed in on a Twitter thread
00:29:36.660 and insulted somebody
00:29:38.020 or said something about them,
00:29:41.000 no impact, right?
00:29:42.260 A hundred followers, no impact.
00:29:43.620 But I lost sight of the fact
00:29:46.120 that my impact is fairly enormous now
00:29:49.280 because it happened gradually.
00:29:50.980 You know, you can just lose sight of it.
00:29:53.320 And I realized a few times
00:29:54.820 that I saw something I didn't like on Twitter
00:29:57.940 from somebody, somebody I don't know.
00:30:00.660 And I would just, you know,
00:30:02.520 throw a little slap out there,
00:30:05.320 you know, like a little Twitter slap.
00:30:06.660 And I'd realized I had much bigger impact
00:30:10.620 than I wanted
00:30:12.080 because a lot of followers will pile on.
00:30:15.040 And then suddenly there's some poor person
00:30:17.320 I've never even met
00:30:18.300 whose only offense
00:30:19.960 is that they said something I didn't like.
00:30:22.600 And now they're being dumped on
00:30:23.780 by half a million people
00:30:24.880 or thousands.
00:30:27.420 And I'm going to pull back a little bit.
00:30:30.040 Now, I'm going to go just as hard
00:30:32.540 against the professionals, right?
00:30:35.140 So the professionals still get the full treatment.
00:30:39.200 And I would expect that I would also receive
00:30:41.720 the full dehumanizing treatment
00:30:44.260 because I'm a professional.
00:30:46.180 You know, I'm doing this
00:30:47.280 in a professional sense.
00:30:49.400 So I'm not asking anybody to lighten up on me
00:30:52.440 because the people who go into battle
00:30:54.900 knowing that that's what they're doing,
00:30:56.480 you know, you know what you're getting.
00:30:58.280 But I'm going to make an effort
00:31:00.320 and I don't think this is going to be
00:31:02.320 100% successful.
00:31:03.620 I don't think so.
00:31:05.880 But I'm going to try
00:31:06.740 to be a little kinder
00:31:10.240 to civilians.
00:31:13.600 Right?
00:31:14.460 So a little kinder to civilians.
00:31:16.340 We'll see if that works out.
00:31:19.100 And let me tell you
00:31:20.760 that the reason
00:31:22.200 that I'm doing this
00:31:23.940 is as much...
00:31:26.260 I'll tell you the insight
00:31:27.540 I had about this.
00:31:28.600 Not just the insight
00:31:29.640 that we're dehumanizing ourselves
00:31:31.400 on social media.
00:31:33.120 But the insight is
00:31:33.900 that I get
00:31:34.760 continuous flow
00:31:37.200 of messages
00:31:39.520 from people
00:31:40.060 who tell me
00:31:40.600 that I've changed their life
00:31:41.940 in some positive way.
00:31:43.740 Because, you know,
00:31:44.160 a lot of my books
00:31:44.880 are about
00:31:45.360 how to live your life better,
00:31:46.760 how to think better,
00:31:47.980 how to be more persuasive,
00:31:49.240 how to get what you want.
00:31:50.680 And so a lot of people
00:31:51.600 have read my books
00:31:52.240 and actually got what they want.
00:31:54.040 I tweeted one this morning
00:31:56.600 of somebody
00:31:57.080 whose life
00:31:57.980 was completely changed
00:31:59.260 just by a brief appearance
00:32:01.580 on my Periscope.
00:32:03.120 And when I see
00:32:04.480 how much I can change
00:32:05.560 people's lives
00:32:06.320 in the positive
00:32:07.180 with the smallest amount
00:32:09.040 of effort,
00:32:10.180 the smallest amount
00:32:11.440 of effort
00:32:11.840 and changes people's lives
00:32:13.660 completely,
00:32:14.820 I say to myself,
00:32:16.400 what have I done
00:32:17.520 accidentally
00:32:18.340 that actually damaged
00:32:20.220 somebody's life?
00:32:21.200 Because I just wasn't thinking.
00:32:22.880 I was just careless.
00:32:24.040 And so I'm going to be
00:32:25.000 less careless about that.
00:32:26.980 Well, that's my intention.
00:32:28.020 We'll see if I can do it.
00:32:32.100 This morning,
00:32:32.900 I sent off
00:32:33.480 a very angry tweet
00:32:34.780 that I later deleted.
00:32:37.260 Man, did it make me angry.
00:32:38.940 And I'll tell you
00:32:39.400 what made me angry about it
00:32:40.760 and then why it was wrong.
00:32:42.100 And it was a video clip
00:32:44.060 about Dr. Fauci.
00:32:45.820 He was responding
00:32:46.740 to a member of Congress
00:32:48.160 who was asking him
00:32:49.220 about the Henry Ford study
00:32:51.660 on the Henry Ford
00:32:54.200 whatever medical facility
00:32:55.580 study about
00:32:56.620 hydroxychloroquine
00:32:58.380 and zinc.
00:32:59.840 And the congressman
00:33:01.300 said that
00:33:02.020 the study showed
00:33:03.080 that it was effective
00:33:03.960 and therefore
00:33:05.620 the implication is
00:33:07.340 why don't we use it?
00:33:08.640 And Dr. Fauci said
00:33:10.500 that
00:33:12.040 that that was not
00:33:13.500 a valid study
00:33:14.400 for a few reasons.
00:33:15.760 Number one,
00:33:16.640 it was not a
00:33:17.460 what do they call it?
00:33:20.220 A randomized
00:33:21.460 placebo trial.
00:33:23.840 It did not have
00:33:24.980 a control group
00:33:26.020 with a placebo.
00:33:27.720 It was not studied
00:33:28.840 in the
00:33:29.420 you know,
00:33:30.280 the way that you would
00:33:31.240 get a gold standard result.
00:33:33.240 So the first thing
00:33:34.080 he said was
00:33:34.660 it did not
00:33:35.300 meet that standard.
00:33:37.340 Now,
00:33:37.720 I'm going to tell you
00:33:38.600 in a moment
00:33:39.000 why that's
00:33:40.180 I think that's
00:33:42.140 what triggered me.
00:33:42.900 because
00:33:44.340 it turns out
00:33:46.260 that the study
00:33:46.860 actually is garbage.
00:33:48.900 So here's the first thing.
00:33:50.480 And the reason
00:33:50.940 I deleted the tweet
00:33:52.140 is that
00:33:52.820 as soon as I looked
00:33:53.640 at what he said
00:33:54.540 he is right.
00:33:59.040 So I did
00:34:00.280 this scathing
00:34:01.180 you know,
00:34:02.320 insulting tweet
00:34:03.380 to Fauci
00:34:04.220 because of the first
00:34:05.560 thing I read
00:34:06.360 and then I looked
00:34:07.560 at his claim
00:34:08.300 and I thought
00:34:09.620 okay,
00:34:11.620 this is a little more
00:34:12.280 than I thought.
00:34:13.280 So the reason
00:34:14.200 he said that
00:34:14.740 he gave two reasons
00:34:18.200 to not believe
00:34:19.080 the study.
00:34:20.040 One of them
00:34:20.680 is that it wasn't
00:34:21.360 the gold standard
00:34:22.380 type of study
00:34:23.080 which I'm going
00:34:24.540 to argue
00:34:24.840 in a minute
00:34:25.380 he's misleading you.
00:34:27.640 But the other
00:34:28.500 is that it was
00:34:29.400 combined
00:34:30.640 with
00:34:31.760 another drug
00:34:34.560 that we know
00:34:35.340 works.
00:34:37.380 So if you
00:34:38.340 combine hydroxychloroquine
00:34:39.880 with a drug
00:34:41.200 that we already
00:34:42.340 know works
00:34:43.160 and you get
00:34:44.660 a good result
00:34:45.460 you've literally
00:34:47.040 found out
00:34:47.580 nothing
00:34:47.900 because it was
00:34:49.760 the other drug
00:34:50.440 that made it work.
00:34:52.300 Now
00:34:52.420 I didn't know
00:34:53.660 that
00:34:54.120 and I feel
00:34:56.260 a little bit
00:34:57.660 stupid.
00:34:59.720 You know,
00:35:00.220 I feel like
00:35:00.600 it's a little bit
00:35:01.100 my fault
00:35:01.640 but a little bit
00:35:02.340 the media fault
00:35:03.180 because this is
00:35:04.180 a really big
00:35:05.340 point.
00:35:06.720 So apparently
00:35:07.080 the other drug
00:35:07.960 was
00:35:08.760 what was it
00:35:09.940 some kind
00:35:10.500 of
00:35:10.820 some kind
00:35:13.980 of steroid
00:35:14.680 I guess
00:35:15.160 that they give
00:35:15.640 you if you're
00:35:16.340 hospitalized
00:35:17.440 some kind
00:35:19.280 of anti-inflammatory
00:35:20.340 steroid
00:35:21.200 I forget
00:35:21.580 what the
00:35:22.040 name of it is
00:35:22.940 but
00:35:23.960 here's what
00:35:25.840 triggered me.
00:35:26.940 So
00:35:27.060 Fauci says
00:35:28.260 that
00:35:29.200 you don't know
00:35:30.200 if the hydroxychloroquine
00:35:31.460 worked in that study
00:35:32.700 because it was given
00:35:34.060 in combination
00:35:34.800 with the drug
00:35:35.520 that you do know
00:35:36.240 works
00:35:36.640 and the result
00:35:38.480 of the outcome
00:35:39.240 thank you
00:35:40.980 in the comments
00:35:41.620 I'm being reminded
00:35:43.120 that the drug
00:35:43.840 that was with
00:35:44.480 the hydroxychloroquine
00:35:45.680 was
00:35:46.600 dexamethasone
00:35:48.320 and apparently
00:35:49.560 that is
00:35:50.260 as I'm learning
00:35:51.180 already
00:35:52.200 a common
00:35:52.920 treatment
00:35:53.440 so it's a
00:35:54.800 common treatment
00:35:55.540 and it works.
00:35:59.040 So if you know
00:35:59.580 it works
00:36:00.220 and you get
00:36:01.300 effectively
00:36:02.020 the same
00:36:02.540 result
00:36:02.980 with hydroxychloroquine
00:36:05.120 added to it
00:36:05.980 as you would have
00:36:06.800 gotten without it
00:36:07.660 and I think
00:36:08.060 that's actually
00:36:08.540 what happened
00:36:09.000 then there is
00:36:11.460 no evidence
00:36:12.020 that the hydroxychloroquine
00:36:13.260 worked.
00:36:14.120 So Dr. Fauci
00:36:15.440 okay
00:36:16.700 you win
00:36:17.720 this
00:36:18.020 this round
00:36:19.300 this round
00:36:20.880 goes to Fauci
00:36:22.100 but
00:36:23.240 this raises
00:36:24.580 some questions
00:36:25.520 were you aware
00:36:27.320 that there was
00:36:27.920 a drug
00:36:28.340 that would cut
00:36:29.080 death rates
00:36:30.540 in half
00:36:31.060 because
00:36:32.740 that's
00:36:33.220 what we
00:36:33.640 learned
00:36:33.980 that this
00:36:34.680 dexamethasone
00:36:36.060 is widely
00:36:37.660 in use
00:36:38.280 and cuts
00:36:39.520 the death
00:36:40.000 rate
00:36:40.340 in half
00:36:41.300 how come
00:36:43.380 I didn't
00:36:43.700 know that
00:36:44.200 did you know
00:36:45.300 that
00:36:45.600 because we've
00:36:46.300 heard about
00:36:46.680 remdesivir
00:36:47.460 we've heard
00:36:47.840 about
00:36:48.140 everything else
00:36:48.940 but did
00:36:49.980 you know
00:36:50.480 that if you
00:36:52.020 get this
00:36:52.480 particular drug
00:36:53.360 which is
00:36:53.760 widely available
00:36:54.620 you know
00:36:55.060 standard
00:36:55.500 kind of
00:36:55.960 a drug
00:36:56.360 then it
00:36:57.520 cuts your
00:36:57.880 death rate
00:36:58.620 in half
00:36:59.220 so some
00:37:01.220 of you
00:37:01.440 are saying
00:37:01.840 you heard
00:37:02.480 of it
00:37:02.700 some of you
00:37:03.160 not
00:37:03.420 the fact
00:37:04.720 that as
00:37:06.080 much as
00:37:06.520 I've studied
00:37:07.140 this stuff
00:37:07.760 you know
00:37:08.200 as a lay
00:37:08.960 person
00:37:09.240 not as
00:37:09.660 a scientist
00:37:10.140 but as
00:37:10.920 much as
00:37:11.260 I've
00:37:11.480 looked
00:37:11.680 into
00:37:11.880 this
00:37:12.260 why is
00:37:13.440 today
00:37:13.820 the first
00:37:14.280 time
00:37:14.520 I'm
00:37:14.700 hearing
00:37:14.880 about
00:37:15.160 this
00:37:15.500 which
00:37:16.740 should
00:37:17.620 be a
00:37:17.920 wake
00:37:18.140 up
00:37:18.320 call
00:37:18.640 about
00:37:20.460 how
00:37:20.880 uninformed
00:37:21.580 we are
00:37:22.120 about
00:37:22.500 all of
00:37:22.980 it
00:37:23.180 this
00:37:24.320 is
00:37:24.540 such
00:37:24.920 a
00:37:25.240 big
00:37:25.580 missing
00:37:26.120 piece
00:37:26.620 in
00:37:27.400 what
00:37:27.600 I
00:37:27.760 knew
00:37:28.000 about
00:37:28.260 the
00:37:28.440 whole
00:37:28.600 situation
00:37:29.200 that
00:37:30.400 it
00:37:30.640 was
00:37:30.800 sort
00:37:31.240 of
00:37:31.340 mind
00:37:31.560 blowing
00:37:31.840 and
00:37:32.260 also
00:37:32.520 very
00:37:32.820 humbling
00:37:33.320 it
00:37:34.200 also
00:37:34.580 reminds
00:37:35.140 me
00:37:35.320 that
00:37:35.500 I'm
00:37:35.680 a
00:37:35.800 jerk
00:37:36.120 because
00:37:36.860 I
00:37:37.120 went
00:37:37.420 after
00:37:37.780 Fauci
00:37:38.220 in
00:37:39.060 public
00:37:39.460 on
00:37:40.720 Twitter
00:37:41.040 being
00:37:42.660 wrong
00:37:43.060 you know
00:37:43.860 I tried
00:37:44.160 to correct
00:37:44.600 it
00:37:44.800 but
00:37:45.040 I
00:37:45.380 was
00:37:45.500 wrong
00:37:45.780 now
00:37:46.720 here's
00:37:47.140 but I
00:37:47.840 do
00:37:47.940 have
00:37:48.120 some
00:37:48.440 Fauci
00:37:49.320 criticisms
00:37:49.840 and I
00:37:50.920 think
00:37:51.320 what
00:37:51.540 actually
00:37:52.000 triggered
00:37:52.400 me
00:37:52.720 is
00:37:53.580 that
00:37:53.840 it
00:37:54.080 was
00:37:54.280 obvious
00:37:54.780 he
00:37:55.040 was
00:37:55.240 lying
00:37:55.900 but
00:37:57.020 it
00:37:57.120 wasn't
00:37:57.360 about
00:37:57.580 this
00:37:57.980 so
00:37:58.700 what
00:37:58.880 he
00:37:58.960 said
00:37:59.140 about
00:37:59.320 the
00:37:59.520 dexamethasone
00:38:00.300 I
00:38:00.980 think
00:38:01.180 he's
00:38:01.360 completely
00:38:01.900 right
00:38:02.320 but
00:38:03.840 it
00:38:04.200 also
00:38:04.480 tells
00:38:04.820 you
00:38:05.020 that
00:38:05.260 the
00:38:05.480 Henry
00:38:05.720 Ford
00:38:05.980 study
00:38:06.380 was
00:38:07.000 with
00:38:07.280 hospitalized
00:38:07.840 patients
00:38:08.560 which
00:38:09.660 again
00:38:10.340 is
00:38:11.140 not
00:38:11.340 the
00:38:11.540 point
00:38:11.880 right
00:38:12.780 it
00:38:13.600 wouldn't
00:38:13.980 matter
00:38:14.320 if
00:38:14.760 the
00:38:14.920 study
00:38:15.220 he
00:38:15.400 said
00:38:15.740 was
00:38:16.120 debunked
00:38:16.840 was
00:38:17.700 a
00:38:17.840 good
00:38:18.020 study
00:38:18.360 or
00:38:18.500 not
00:38:18.900 because
00:38:19.620 I
00:38:19.760 wouldn't
00:38:19.940 have
00:38:20.040 believed
00:38:20.260 it
00:38:20.440 anyway
00:38:20.760 because
00:38:21.580 the
00:38:21.780 whole
00:38:21.960 point
00:38:22.280 of
00:38:22.420 it
00:38:22.560 is
00:38:22.760 to
00:38:22.880 use
00:38:23.080 it
00:38:23.200 early
00:38:23.500 and
00:38:23.820 the
00:38:23.940 Henry
00:38:24.140 Ford
00:38:24.400 study
00:38:24.720 was
00:38:24.900 hospitalized
00:38:25.340 people
00:38:25.900 and
00:38:26.520 to
00:38:26.720 hospitalize
00:38:27.360 people
00:38:27.660 that
00:38:28.000 other
00:38:28.480 drug
00:38:29.000 we
00:38:29.380 know
00:38:29.720 works
00:38:30.340 and
00:38:31.480 have
00:38:32.020 you
00:38:32.160 seen
00:38:32.360 any
00:38:32.600 national
00:38:33.060 reporting
00:38:33.720 on
00:38:35.200 who
00:38:36.120 doesn't
00:38:36.520 use
00:38:36.760 the
00:38:36.900 drug
00:38:37.180 because
00:38:37.880 what
00:38:38.080 I
00:38:38.180 was
00:38:38.300 wondering
00:38:38.620 who
00:38:39.100 was
00:38:39.320 the
00:38:39.500 control
00:38:39.900 group
00:38:40.320 who
00:38:43.860 was
00:38:44.140 the
00:38:44.320 control
00:38:44.660 group
00:38:45.020 if
00:38:47.480 we
00:38:47.660 know
00:38:47.880 that
00:38:48.100 this
00:38:48.340 drug
00:38:48.700 that
00:38:48.860 was
00:38:49.020 in
00:38:49.180 combination
00:38:49.660 of
00:38:49.920 hydroxychloroquine
00:38:51.020 cuts
00:38:52.260 the
00:38:52.500 death
00:38:52.740 rate
00:38:52.980 in
00:38:53.120 half
00:38:53.520 who
00:38:54.380 was
00:38:54.600 the
00:38:54.760 group
00:38:54.940 that
00:38:55.140 didn't
00:38:55.400 get
00:38:55.600 it
00:38:55.840 right
00:38:57.840 can
00:38:59.060 you
00:38:59.280 how
00:39:00.500 do
00:39:00.640 we
00:39:00.760 know
00:39:00.920 that
00:39:01.100 this
00:39:01.300 drug
00:39:01.540 cuts
00:39:01.860 the
00:39:02.120 death
00:39:02.420 rate
00:39:02.600 in
00:39:02.740 half
00:39:03.100 unless
00:39:03.600 there's
00:39:03.940 somebody
00:39:04.200 not
00:39:04.500 getting
00:39:04.800 it
00:39:05.080 and
00:39:06.120 if
00:39:06.840 we
00:39:06.960 know
00:39:07.120 it
00:39:07.240 works
00:39:07.560 why
00:39:07.900 would
00:39:08.060 anybody
00:39:08.340 not
00:39:08.640 get
00:39:08.880 it
00:39:09.100 so
00:39:09.980 maybe
00:39:12.540 we
00:39:12.820 have
00:39:13.100 a
00:39:13.300 history
00:39:13.700 of
00:39:14.740 people
00:39:15.000 who
00:39:15.180 didn't
00:39:15.440 get
00:39:15.620 it
00:39:15.740 before
00:39:16.180 but
00:39:17.460 I
00:39:17.720 would
00:39:17.900 be
00:39:18.040 really
00:39:18.420 suspicious
00:39:19.080 of
00:39:20.500 any
00:39:20.740 data
00:39:21.120 before
00:39:21.540 we
00:39:21.780 were
00:39:21.900 really
00:39:22.140 looking
00:39:22.360 into
00:39:22.640 it
00:39:22.840 did
00:39:22.980 it
00:39:23.100 come
00:39:23.260 from
00:39:23.440 another
00:39:23.720 country
00:39:24.220 my
00:39:25.120 guess
00:39:25.520 is
00:39:25.780 that
00:39:25.980 in
00:39:26.120 this
00:39:26.320 country
00:39:26.680 people
00:39:27.040 were
00:39:27.220 probably
00:39:27.500 getting
00:39:27.780 it
00:39:27.940 from
00:39:28.100 day
00:39:28.300 one
00:39:28.660 and
00:39:29.920 was
00:39:30.160 there
00:39:30.300 a
00:39:30.440 point
00:39:30.720 where
00:39:30.980 the
00:39:31.160 death
00:39:31.400 rate
00:39:31.760 went
00:39:32.680 from
00:39:33.140 way
00:39:34.140 high
00:39:34.500 to
00:39:34.740 half
00:39:35.040 as
00:39:35.200 much
00:39:35.580 when
00:39:36.700 that
00:39:36.940 drug
00:39:37.220 started
00:39:37.540 being
00:39:37.800 widely
00:39:38.160 used
00:39:38.520 or
00:39:38.640 was
00:39:38.800 it
00:39:38.900 always
00:39:39.080 widely
00:39:39.360 used
00:39:39.600 anyway
00:39:39.860 I
00:39:40.080 have
00:39:40.200 lots
00:39:40.380 of
00:39:40.460 questions
00:39:40.780 here's
00:39:41.320 my
00:39:41.560 Fauci
00:39:42.260 criticism
00:39:43.480 you
00:39:45.040 do
00:39:45.300 want
00:39:45.700 as
00:39:46.180 Dr.
00:39:46.580 Fauci
00:39:46.880 continuously
00:39:47.700 reminds
00:39:48.300 us
00:39:48.520 if
00:39:48.760 you
00:39:48.880 really
00:39:49.160 want
00:39:49.540 to
00:39:49.920 be
00:39:50.240 certain
00:39:51.680 at
00:39:52.140 least
00:39:52.380 as
00:39:52.540 certain
00:39:52.740 as
00:39:52.920 you
00:39:53.020 can
00:39:53.160 be
00:39:53.320 about
00:39:53.520 a
00:39:53.660 drug
00:39:53.940 you
00:39:54.780 have
00:39:55.100 to
00:39:55.260 do
00:39:55.480 the
00:39:55.900 the
00:39:57.380 RPT
00:39:58.880 trial
00:39:59.320 the
00:39:59.820 you know
00:40:01.160 the one
00:40:01.440 with the
00:40:01.740 placebo
00:40:02.140 and
00:40:02.720 randomized
00:40:03.920 so
00:40:05.120 does that
00:40:06.900 apply in
00:40:07.340 every
00:40:07.560 case
00:40:08.080 here's
00:40:09.300 the
00:40:09.460 problem
00:40:09.880 if
00:40:11.040 you
00:40:11.220 had
00:40:11.420 a
00:40:11.560 drug
00:40:11.840 that
00:40:12.020 was
00:40:12.180 brand
00:40:12.540 new
00:40:12.800 let's
00:40:13.180 say
00:40:13.380 a
00:40:13.620 vaccine
00:40:14.100 something
00:40:14.740 that
00:40:14.960 never
00:40:15.280 existed
00:40:15.680 before
00:40:16.160 you
00:40:17.000 would
00:40:17.180 need
00:40:17.460 to
00:40:17.800 know
00:40:18.000 three
00:40:18.400 things
00:40:18.820 about
00:40:19.120 it
00:40:19.360 you
00:40:20.240 would
00:40:20.400 need
00:40:20.580 to
00:40:20.740 know
00:40:20.980 the
00:40:21.280 cost
00:40:21.800 because
00:40:22.820 that
00:40:23.220 makes
00:40:24.020 a
00:40:24.120 difference
00:40:24.440 you
00:40:24.960 would
00:40:25.100 need
00:40:25.220 to
00:40:25.340 know
00:40:25.440 if
00:40:25.580 it
00:40:25.660 hurts
00:40:25.940 people
00:40:26.300 in
00:40:26.880 the
00:40:27.020 short
00:40:27.300 run
00:40:27.560 and
00:40:27.840 the
00:40:28.000 long
00:40:28.200 run
00:40:28.440 and
00:40:29.260 you
00:40:29.380 would
00:40:29.500 need
00:40:29.940 to
00:40:30.040 know
00:40:30.200 if
00:40:30.360 it
00:40:30.520 was
00:40:30.800 beneficial
00:40:31.760 at
00:40:32.240 all
00:40:32.520 to
00:40:32.840 the
00:40:32.980 thing
00:40:33.140 you're
00:40:33.300 trying
00:40:33.500 to
00:40:33.680 treat
00:40:33.980 under
00:40:34.880 those
00:40:35.220 conditions
00:40:35.820 when
00:40:36.180 you're
00:40:36.360 trying
00:40:36.560 to
00:40:36.760 learn
00:40:37.020 all
00:40:37.420 three
00:40:37.700 things
00:40:38.200 what's
00:40:39.300 it
00:40:39.380 going
00:40:39.500 to
00:40:45.680 benefit
00:40:46.080 under
00:40:46.940 those
00:40:47.420 conditions
00:40:48.180 you
00:40:49.020 absolutely
00:40:49.780 need
00:40:50.280 what
00:40:50.740 dr
00:40:51.220 fauci
00:40:51.780 says
00:40:52.260 you
00:40:52.440 need
00:40:52.700 you
00:40:53.960 need
00:40:54.220 the
00:40:54.380 double
00:40:54.600 blind
00:40:54.940 you
00:40:55.180 need
00:40:55.380 the
00:40:55.520 gold
00:40:55.740 standard
00:40:56.220 or
00:40:56.820 don't
00:40:57.160 put
00:40:57.360 that
00:40:57.540 in
00:40:57.660 anybody's
00:40:58.100 body
00:40:58.400 it's
00:40:58.700 just
00:40:58.960 a
00:40:59.200 bad
00:40:59.540 idea
00:40:59.980 if
00:41:00.600 you
00:41:00.680 haven't
00:41:00.920 tested
00:41:01.220 but
00:41:02.280 that's
00:41:02.860 not
00:41:03.060 our
00:41:03.260 situation
00:41:03.820 is
00:41:04.060 it
00:41:04.280 our
00:41:05.180 situation
00:41:05.720 is
00:41:06.040 that
00:41:06.260 hydroxychloroquine
00:41:07.360 in
00:41:08.200 low
00:41:08.600 dosage
00:41:09.100 which
00:41:09.460 is
00:41:09.620 the
00:41:09.780 only
00:41:09.940 thing
00:41:10.160 that's
00:41:10.400 recommended
00:41:10.840 for
00:41:11.140 the
00:41:11.340 early
00:41:12.380 symptoms
00:41:13.660 people
00:41:14.200 that
00:41:15.240 that
00:41:15.500 actually
00:41:15.900 doesn't
00:41:16.320 have
00:41:16.620 a
00:41:16.780 risk
00:41:17.180 because
00:41:17.900 let
00:41:19.840 me
00:41:20.000 not
00:41:20.580 speak
00:41:20.900 in
00:41:21.080 absolutes
00:41:21.760 rather
00:41:22.620 it's
00:41:23.000 one
00:41:23.200 of
00:41:23.300 the
00:41:23.460 safest
00:41:23.720 drugs
00:41:24.200 of
00:41:24.460 all
00:41:24.660 time
00:41:25.140 has
00:41:25.720 been
00:41:25.860 around
00:41:26.080 65
00:41:26.520 years
00:41:26.960 as
00:41:27.180 you
00:41:27.280 all
00:41:27.400 know
00:41:27.560 it's
00:41:27.720 been
00:41:27.880 tested
00:41:28.180 to
00:41:28.420 death
00:41:28.640 so
00:41:29.340 given
00:41:29.620 that
00:41:29.820 the
00:41:29.940 drug
00:41:30.120 exists
00:41:30.760 and
00:41:31.220 has
00:41:31.420 been
00:41:31.600 tested
00:41:32.000 50%
00:41:33.400 of
00:41:33.740 what
00:41:33.920 you're
00:41:34.100 trying
00:41:34.320 to
00:41:34.540 learn
00:41:34.900 in
00:41:35.960 one
00:41:36.140 of
00:41:36.240 these
00:41:36.440 gold
00:41:36.860 standard
00:41:37.260 trials
00:41:37.740 is
00:41:38.000 unnecessary
00:41:38.540 right
00:41:39.640 so
00:41:40.520 you
00:41:40.660 don't
00:41:40.900 need
00:41:41.260 the
00:41:43.140 gold
00:41:43.540 standard
00:41:43.980 to
00:41:44.380 find
00:41:44.620 out
00:41:44.780 half
00:41:45.140 of
00:41:45.280 what
00:41:45.460 you're
00:41:45.620 trying
00:41:45.760 to
00:41:45.900 find
00:41:46.100 out
00:41:46.300 you
00:41:46.460 already
00:41:46.660 know
00:41:46.940 under
00:41:48.140 those
00:41:48.480 conditions
00:41:48.960 when
00:41:49.780 the
00:41:49.900 hydroxychloroquine
00:41:50.780 is very
00:41:51.240 cheap
00:41:51.640 I mean
00:41:52.220 so cheap
00:41:52.900 it's like
00:41:53.600 candy
00:41:53.940 and you
00:41:56.080 know it's
00:41:56.480 safe
00:41:56.780 enough
00:41:57.280 right
00:41:58.180 nothing's
00:41:58.620 100%
00:41:59.160 but
00:41:59.460 better
00:42:00.200 than
00:42:00.520 Advil
00:42:01.040 if
00:42:02.160 if
00:42:02.180 you
00:42:02.260 know
00:42:02.400 it's
00:42:02.560 that
00:42:02.700 safe
00:42:03.100 and
00:42:03.660 that
00:42:03.840 cheap
00:42:04.180 and
00:42:05.620 you
00:42:05.720 know
00:42:05.860 it
00:42:05.980 might
00:42:06.300 work
00:42:06.760 because
00:42:07.740 there's
00:42:07.980 lots
00:42:08.260 of
00:42:08.400 indication
00:42:08.920 that
00:42:09.220 it
00:42:09.300 will
00:42:09.440 work
00:42:09.800 short
00:42:10.620 of
00:42:10.800 proof
00:42:11.140 this
00:42:12.540 is a
00:42:12.820 no
00:42:12.980 brainer
00:42:13.420 Dr.
00:42:14.280 Fauci
00:42:14.580 right
00:42:15.520 so
00:42:16.160 when
00:42:16.520 I
00:42:16.660 saw
00:42:16.880 Dr.
00:42:17.340 Fauci
00:42:17.720 insist
00:42:19.020 on
00:42:19.360 the
00:42:19.680 gold
00:42:20.820 standard
00:42:21.420 to test
00:42:24.180 it
00:42:25.300 looked
00:42:25.600 like
00:42:25.880 lying
00:42:26.360 lying
00:42:27.720 by
00:42:28.000 omission
00:42:28.620 and
00:42:29.760 what
00:42:30.000 I
00:42:30.140 mean
00:42:30.300 by
00:42:30.460 that
00:42:30.720 is
00:42:30.960 if
00:42:31.280 he
00:42:31.440 wasn't
00:42:31.800 willing
00:42:32.060 to
00:42:32.460 express
00:42:33.200 the
00:42:34.120 view
00:42:34.360 that
00:42:34.580 I
00:42:34.740 just
00:42:35.000 gave
00:42:35.480 and
00:42:37.580 either
00:42:37.820 debunk
00:42:38.300 it
00:42:38.500 or
00:42:38.680 embrace
00:42:39.040 it
00:42:39.280 I
00:42:39.980 feel
00:42:40.260 like
00:42:40.500 that's
00:42:40.800 lying
00:42:41.380 meaning
00:42:43.060 that
00:42:43.420 if
00:42:43.720 he
00:42:43.900 can't
00:42:44.320 give
00:42:44.560 this
00:42:44.780 to
00:42:44.960 the
00:42:45.120 public
00:42:45.480 the
00:42:46.160 same
00:42:46.460 way
00:42:46.680 that
00:42:46.880 I
00:42:47.140 told
00:42:47.400 it
00:42:47.540 to
00:42:47.680 you
00:42:47.900 or
00:42:48.720 to
00:42:49.460 tell
00:42:49.680 you
00:42:49.860 why
00:42:50.080 the
00:42:50.240 way
00:42:50.400 I
00:42:50.600 told
00:42:50.840 it
00:42:50.980 to
00:42:51.140 you
00:42:51.300 is
00:42:51.540 clearly
00:42:51.940 wrong
00:42:52.480 which
00:42:53.000 could
00:42:53.300 be
00:42:53.420 the
00:42:53.540 case
00:42:53.840 he's
00:42:55.180 lying
00:42:55.620 because
00:42:56.760 every
00:42:57.220 one
00:42:57.420 of
00:42:57.560 you
00:42:57.700 listens
00:42:58.040 to
00:42:58.260 him
00:42:58.420 talking
00:42:58.800 and
00:42:59.080 says
00:42:59.420 but
00:43:00.460 it's
00:43:00.660 really
00:43:00.900 cheap
00:43:01.380 we
00:43:01.900 know
00:43:02.180 it's
00:43:02.440 safe
00:43:02.840 and
00:43:03.520 I
00:43:03.680 hear
00:43:04.160 what
00:43:04.320 you're
00:43:04.480 saying
00:43:04.780 that
00:43:05.040 it
00:43:05.200 might
00:43:05.480 not
00:43:05.700 work
00:43:06.000 because
00:43:06.280 it
00:43:06.400 hasn't
00:43:07.220 passed
00:43:07.660 all
00:43:07.920 these
00:43:08.160 high
00:43:08.560 levels
00:43:09.000 of
00:43:09.280 standards
00:43:09.600 that
00:43:09.960 we'd
00:43:10.220 all
00:43:10.360 like
00:43:10.600 to
00:43:10.780 see
00:43:11.080 but
00:43:12.300 there's
00:43:12.700 a
00:43:12.920 whole
00:43:13.440 lot
00:43:14.240 of
00:43:14.480 suggestive
00:43:15.620 evidence
00:43:17.320 so
00:43:18.840 the
00:43:19.060 risk
00:43:19.380 management
00:43:19.880 clearly
00:43:20.640 is
00:43:21.500 weighted
00:43:21.800 in
00:43:22.020 one
00:43:22.220 direction
00:43:22.640 I
00:43:23.100 mean
00:43:23.240 overwhelmingly
00:43:24.140 so
00:43:25.420 Dr.
00:43:26.120 Fauci
00:43:26.460 unless
00:43:26.880 you
00:43:27.160 can
00:43:27.320 tell
00:43:27.500 me
00:43:27.660 why
00:43:27.940 the
00:43:28.340 risk
00:43:28.660 management
00:43:29.160 as
00:43:29.600 I
00:43:29.760 described
00:43:30.200 it
00:43:30.440 is
00:43:30.720 wrong
00:43:31.140 I
00:43:32.500 don't
00:43:32.700 want
00:43:32.900 to
00:43:33.000 hear
00:43:33.160 you
00:43:33.360 say
00:43:33.660 that
00:43:34.420 you
00:43:34.560 need
00:43:34.920 a
00:43:35.320 gold
00:43:35.580 standard
00:43:36.080 test
00:43:37.340 because
00:43:38.220 that
00:43:38.500 feels
00:43:39.080 to me
00:43:39.620 like
00:43:40.140 a
00:43:40.360 lie
00:43:40.760 it's
00:43:42.300 a
00:43:42.440 lie
00:43:42.700 by
00:43:42.940 omission
00:43:43.340 and
00:43:44.860 when
00:43:45.480 I
00:43:45.620 heard
00:43:45.800 him
00:43:45.940 do
00:43:46.120 that
00:43:46.400 it
00:43:46.620 triggered
00:43:46.940 me
00:43:47.300 and
00:43:48.340 then
00:43:48.740 I
00:43:48.960 you
00:43:49.520 know
00:43:49.700 I
00:43:50.600 over
00:43:51.160 tweeted
00:43:51.560 so
00:43:53.360 I
00:43:53.520 apologized
00:43:54.120 to
00:43:54.620 Dr.
00:43:55.020 Fauci
00:43:55.520 for
00:43:55.880 the
00:43:56.140 tweet
00:43:57.220 that
00:43:57.480 I
00:43:57.600 think
00:43:57.780 was
00:43:58.100 over
00:44:00.200 the
00:44:00.380 line
00:44:00.640 in
00:44:00.900 my
00:44:01.040 case
00:44:01.320 all
00:44:03.280 right
00:44:03.460 I
00:44:05.680 think
00:44:05.920 the
00:44:06.100 election
00:44:06.440 is
00:44:06.720 largely
00:44:07.100 over
00:44:07.700 and
00:44:09.980 I
00:44:10.240 think
00:44:10.480 Biden
00:44:11.020 is
00:44:11.420 a
00:44:11.700 dead
00:44:11.940 man
00:44:12.180 walking
00:44:12.580 and
00:44:13.340 I
00:44:13.480 say
00:44:13.660 that
00:44:13.880 because
00:44:14.260 of
00:44:14.480 a
00:44:14.740 political
00:44:15.380 ad
00:44:15.820 I
00:44:16.120 saw
00:44:16.420 yesterday
00:44:17.000 now
00:44:18.040 you
00:44:18.280 may
00:44:18.440 say
00:44:18.620 to
00:44:18.740 yourself
00:44:19.080 Scott
00:44:19.740 Scott
00:44:20.020 Scott
00:44:20.380 political
00:44:21.620 ads
00:44:22.120 don't
00:44:22.460 really
00:44:22.800 move
00:44:23.120 the
00:44:23.300 ball
00:44:23.520 that
00:44:23.780 much
00:44:24.240 you
00:44:24.900 know
00:44:25.140 not
00:44:25.760 that
00:44:26.020 much
00:44:26.380 but
00:44:27.620 it's
00:44:27.900 not
00:44:28.040 so
00:44:28.220 much
00:44:28.380 the
00:44:28.620 ad
00:44:29.060 which
00:44:29.400 was
00:44:29.580 actually
00:44:29.840 very
00:44:30.100 good
00:44:30.360 but
00:44:31.120 the
00:44:31.280 idea
00:44:31.720 so
00:44:32.520 the
00:44:32.700 ad
00:44:33.680 carried
00:44:34.260 an
00:44:34.560 idea
00:44:34.980 that
00:44:35.940 I
00:44:36.080 hadn't
00:44:36.400 seen
00:44:36.660 exactly
00:44:37.180 expressed
00:44:37.780 and
00:44:38.160 when
00:44:38.340 I
00:44:38.520 saw
00:44:38.740 it
00:44:38.920 I
00:44:39.080 said
00:44:39.340 oh
00:44:40.480 I
00:44:40.800 think
00:44:40.980 it's
00:44:41.140 over
00:44:41.460 and
00:44:42.800 the
00:44:42.940 ad
00:44:43.220 was
00:44:43.600 in
00:44:44.400 it
00:44:45.020 was
00:44:45.140 in
00:44:45.440 Spanish
00:44:45.980 so
00:44:47.560 it
00:44:47.860 was
00:44:47.960 a
00:44:48.100 campaign
00:44:48.440 ad
00:44:48.780 for
00:44:49.420 the
00:44:49.580 United
00:44:49.820 States
00:44:50.180 in
00:44:50.520 Spanish
00:44:50.980 in
00:44:51.760 which
00:44:51.920 it
00:44:52.060 showed
00:44:52.280 a
00:44:52.440 number
00:44:52.680 of
00:44:53.260 Hispanic
00:44:54.820 famous
00:44:55.540 people
00:44:55.860 like
00:44:56.120 AOC
00:44:56.520 and
00:44:57.540 there
00:44:57.720 were
00:44:58.140 some
00:44:58.340 people
00:44:58.560 on
00:44:58.740 the
00:44:58.840 left
00:44:59.080 some
00:44:59.360 people
00:44:59.580 on
00:44:59.720 the
00:44:59.820 right
00:45:00.060 so
00:45:00.600 basically
00:45:01.020 famous
00:45:01.720 successful
00:45:03.100 Hispanic
00:45:04.220 Americans
00:45:04.700 and
00:45:05.960 then
00:45:06.140 it
00:45:06.300 said
00:45:06.580 Joe
00:45:07.240 Biden
00:45:07.580 why
00:45:09.620 did
00:45:10.140 you
00:45:10.280 say
00:45:10.540 that
00:45:10.800 you
00:45:10.920 were
00:45:11.040 going
00:45:11.220 to
00:45:11.400 pick
00:45:11.700 a
00:45:12.620 black
00:45:13.480 vice
00:45:14.020 president
00:45:14.460 and
00:45:15.460 they
00:45:15.660 say
00:45:16.800 Hispanics
00:45:18.420 are
00:45:18.720 more
00:45:20.100 than
00:45:20.260 18%
00:45:20.880 of the
00:45:21.300 country
00:45:21.660 the
00:45:23.220 black
00:45:23.500 population
00:45:24.040 is
00:45:24.300 13
00:45:24.740 ish
00:45:25.200 and
00:45:26.320 so
00:45:26.600 the
00:45:27.340 Hispanics
00:45:27.860 are
00:45:28.000 saying
00:45:28.340 in
00:45:29.020 the
00:45:29.160 ad
00:45:29.440 what's
00:45:31.640 wrong
00:45:31.820 with
00:45:32.000 us
00:45:32.340 why
00:45:34.100 would
00:45:34.320 you
00:45:34.440 not
00:45:34.680 consider
00:45:35.520 Latino
00:45:38.300 Latinx
00:45:39.900 what's
00:45:41.020 the
00:45:41.500 woke
00:45:41.800 way
00:45:42.000 to
00:45:42.120 say
00:45:42.280 it
00:45:42.480 you
00:45:43.180 know
00:45:43.280 I've
00:45:43.440 never
00:45:43.600 figured
00:45:43.840 out
00:45:44.040 by the
00:45:44.300 way
00:45:44.480 the
00:45:45.020 difference
00:45:45.340 between
00:45:45.780 Hispanic
00:45:46.840 and
00:45:47.480 Latino
00:45:47.980 Latina
00:45:48.500 Latinx
00:45:50.460 I
00:45:52.040 always
00:45:52.600 think
00:45:52.840 I'm
00:45:53.020 going
00:45:53.120 to
00:45:53.180 know
00:45:53.320 the
00:45:53.460 difference
00:45:53.780 so
00:45:54.100 I'm
00:45:54.340 going
00:45:54.420 to
00:45:54.460 say
00:45:54.600 Hispanic
00:45:55.040 I
00:45:55.260 hope
00:45:55.360 we're
00:45:55.440 not
00:45:55.680 insulting
00:45:56.420 anybody
00:45:56.800 today
00:45:57.220 but
00:46:00.060 so
00:46:00.540 forget
00:46:01.240 about
00:46:01.460 the
00:46:01.640 fact
00:46:01.860 that
00:46:02.080 it
00:46:02.180 was
00:46:02.300 in
00:46:02.480 Spanish
00:46:02.860 forget
00:46:03.120 about
00:46:03.340 the
00:46:03.500 fact
00:46:03.700 that
00:46:03.840 it
00:46:03.880 was
00:46:03.960 a
00:46:04.120 campaign
00:46:04.380 ad
00:46:04.800 and
00:46:05.220 people
00:46:05.940 don't
00:46:06.220 get
00:46:06.400 too
00:46:06.620 influenced
00:46:07.020 by
00:46:07.240 them
00:46:07.460 in
00:46:07.640 my
00:46:07.800 opinion
00:46:08.100 but
00:46:09.360 that
00:46:10.720 idea
00:46:11.280 that
00:46:12.900 Joe
00:46:13.160 Biden
00:46:13.540 is
00:46:14.000 flat
00:46:14.440 out
00:46:14.660 racist
00:46:15.220 is
00:46:17.580 really
00:46:18.000 strong
00:46:18.600 because
00:46:19.820 can
00:46:21.200 you
00:46:21.360 think
00:46:21.580 of
00:46:21.720 any
00:46:21.920 time
00:46:22.200 that
00:46:22.440 Trump
00:46:22.880 has
00:46:23.800 ever
00:46:24.060 made
00:46:24.440 a
00:46:24.740 government
00:46:25.160 decision
00:46:25.740 based
00:46:26.160 on
00:46:26.520 entirely
00:46:27.480 race
00:46:28.020 I
00:46:29.520 suppose
00:46:29.960 you
00:46:30.160 could
00:46:30.300 say
00:46:30.640 helping
00:46:31.340 the
00:46:31.620 funding
00:46:31.980 of
00:46:32.280 the
00:46:32.500 of
00:46:33.860 the
00:46:34.040 traditional
00:46:34.500 historically
00:46:35.560 black
00:46:36.120 colleges
00:46:36.800 but
00:46:38.180 I
00:46:38.760 think
00:46:38.940 people
00:46:39.180 are
00:46:39.320 mostly
00:46:39.600 on
00:46:39.820 board
00:46:40.040 with
00:46:40.240 that
00:46:40.480 that's
00:46:40.780 pretty
00:46:40.960 popular
00:46:41.380 I
00:46:41.580 would
00:46:41.700 guess
00:46:42.000 but
00:46:43.380 Biden
00:46:43.740 saying
00:46:44.180 that
00:46:44.440 he
00:46:44.660 would
00:46:44.900 definitely
00:46:46.640 pick a
00:46:47.260 black
00:46:47.680 vice
00:46:48.060 president
00:46:48.480 when
00:46:49.340 18%
00:46:50.220 of the
00:46:50.520 country
00:46:50.800 is
00:46:51.060 Hispanic
00:46:51.500 we
00:46:52.200 just
00:46:52.480 had
00:46:52.780 not
00:46:53.260 just
00:46:53.740 but
00:46:54.000 not
00:46:54.380 too
00:46:54.560 recently
00:46:54.860 we
00:46:55.740 had
00:46:56.080 two
00:46:56.940 terms
00:46:57.440 of
00:46:57.720 Obama
00:46:58.200 and
00:46:59.820 you're
00:47:00.040 not
00:47:00.200 even
00:47:00.420 going to
00:47:00.780 consider
00:47:01.300 for a
00:47:02.000 vice
00:47:02.320 president
00:47:02.760 somebody
00:47:04.060 who's
00:47:04.400 in
00:47:04.520 18%
00:47:05.280 of
00:47:05.560 the
00:47:05.740 population
00:47:06.340 and
00:47:07.020 here's
00:47:07.260 the
00:47:07.380 thing
00:47:07.560 that
00:47:07.720 blew
00:47:07.900 my
00:47:08.100 head
00:47:08.300 off
00:47:08.600 and
00:47:09.220 I
00:47:09.340 think
00:47:09.580 you
00:47:11.860 might
00:47:12.640 have
00:47:12.820 the
00:47:12.960 same
00:47:13.180 impression
00:47:13.620 if
00:47:14.840 you're
00:47:15.180 a
00:47:15.460 white
00:47:15.720 person
00:47:16.140 in
00:47:16.440 America
00:47:16.840 you've
00:47:18.100 sort
00:47:18.560 of
00:47:18.680 come
00:47:18.940 to
00:47:19.140 accept
00:47:19.620 maybe
00:47:20.000 you
00:47:20.140 don't
00:47:20.280 like
00:47:20.560 it
00:47:20.800 but
00:47:21.200 you've
00:47:21.400 come
00:47:21.580 to
00:47:21.760 accept
00:47:22.200 that
00:47:23.500 it
00:47:23.840 can't
00:47:24.140 be
00:47:24.300 racist
00:47:24.700 against
00:47:25.180 white
00:47:25.500 people
00:47:25.820 now
00:47:26.760 of
00:47:26.940 course
00:47:27.200 in
00:47:27.500 your
00:47:27.660 private
00:47:27.980 thoughts
00:47:28.380 you're
00:47:28.560 thinking
00:47:28.780 of
00:47:29.000 course
00:47:29.180 it
00:47:29.320 can
00:47:29.420 be
00:47:29.560 racist
00:47:32.760 by
00:47:34.060 race
00:47:34.540 is
00:47:35.480 racist
00:47:35.820 by
00:47:36.080 definition
00:47:36.600 but
00:47:37.540 we
00:47:37.700 also
00:47:38.080 understand
00:47:39.020 that
00:47:39.620 if
00:47:39.820 you're
00:47:40.120 a
00:47:40.820 white
00:47:41.040 person
00:47:41.340 in
00:47:41.540 America
00:47:41.840 you're
00:47:42.360 part
00:47:43.160 of
00:47:43.280 a
00:47:43.480 traditional
00:47:44.060 class
00:47:45.220 that
00:47:45.420 had
00:47:45.600 some
00:47:45.780 advantages
00:47:46.340 not
00:47:46.840 all
00:47:47.120 of
00:47:47.240 you
00:47:47.420 of
00:47:47.680 course
00:47:48.020 but
00:47:48.940 many
00:47:49.680 had
00:47:50.080 advantages
00:47:50.580 and
00:47:51.280 so
00:47:51.480 you
00:47:51.680 sort
00:47:52.120 of
00:47:52.260 understand
00:47:53.180 the
00:47:53.540 thinking
00:47:54.000 even
00:47:54.320 if
00:47:54.520 you
00:47:54.640 don't
00:47:54.860 like
00:47:55.280 it
00:47:55.480 right
00:47:55.780 you're
00:47:56.480 like
00:47:56.640 I
00:47:57.480 think
00:47:57.820 racism
00:47:58.660 should
00:47:59.060 be
00:47:59.220 about
00:47:59.460 everybody
00:48:00.000 but
00:48:00.800 I
00:48:00.960 get
00:48:01.180 it
00:48:01.460 that
00:48:02.280 if
00:48:02.460 you're
00:48:02.740 at
00:48:03.400 the
00:48:03.700 lower
00:48:04.140 end
00:48:04.360 of
00:48:04.500 the
00:48:04.620 economic
00:48:05.240 pole
00:48:06.200 it's
00:48:06.780 different
00:48:07.680 right
00:48:08.460 it's
00:48:09.660 just
00:48:09.840 not
00:48:10.200 really
00:48:10.520 the
00:48:10.740 same
00:48:11.100 to
00:48:11.700 say
00:48:11.900 that
00:48:12.220 to
00:48:13.400 use
00:48:13.660 my
00:48:13.920 very
00:48:14.680 own
00:48:14.920 example
00:48:15.340 I've
00:48:15.920 lost
00:48:16.380 several
00:48:18.160 jobs
00:48:18.600 for being
00:48:19.060 a
00:48:19.340 white
00:48:19.560 male
00:48:19.820 many
00:48:21.140 of
00:48:21.300 you
00:48:21.400 know
00:48:21.560 my
00:48:21.760 stories
00:48:22.080 about
00:48:22.320 that
00:48:22.560 but
00:48:23.460 it's
00:48:24.340 not
00:48:24.500 the
00:48:24.620 end
00:48:24.760 of
00:48:24.860 the
00:48:24.940 world
00:48:25.140 for
00:48:25.340 me
00:48:25.560 because
00:48:26.200 I
00:48:26.340 had
00:48:26.540 plenty
00:48:27.040 of
00:48:27.240 opportunities
00:48:27.800 things
00:48:28.400 went
00:48:28.680 fine
00:48:29.080 so
00:48:30.600 when
00:48:31.440 people
00:48:32.160 say
00:48:32.500 that
00:48:32.740 anybody
00:48:33.100 is
00:48:33.380 being
00:48:33.620 racist
00:48:34.180 against
00:48:34.640 white
00:48:34.960 people
00:48:35.300 I
00:48:36.980 have
00:48:37.340 some
00:48:37.520 thoughts
00:48:37.980 about it
00:48:38.440 but it's
00:48:38.740 not the
00:48:39.060 end of
00:48:39.300 the world
00:48:39.660 but I'm
00:48:42.460 also not
00:48:43.000 Hispanic
00:48:43.620 imagine if you
00:48:45.940 were Hispanic
00:48:46.460 and you
00:48:48.100 were not
00:48:48.560 traditionally
00:48:49.400 the
00:48:49.820 dominant
00:48:50.540 ethnic
00:48:51.520 group
00:48:51.920 of the
00:48:52.200 United
00:48:52.440 States
00:48:52.720 in terms
00:48:53.140 of
00:48:53.300 economics
00:48:53.860 and the
00:48:55.460 vice
00:48:55.700 president
00:48:56.080 just said
00:48:56.720 or the
00:48:58.260 president
00:48:58.740 the candidate
00:49:00.260 for president
00:49:00.800 Joe Biden
00:49:01.320 you're
00:49:02.300 president
00:49:02.740 of your
00:49:03.340 country
00:49:03.820 you're a
00:49:05.240 citizen
00:49:05.620 of the
00:49:06.040 United
00:49:06.400 States
00:49:06.940 just like
00:49:08.600 everybody
00:49:08.980 else
00:49:09.400 and the
00:49:10.500 guy who
00:49:11.000 wants to
00:49:11.320 run for
00:49:11.660 president
00:49:12.140 of your
00:49:12.800 country
00:49:13.340 just told
00:49:14.600 you
00:49:14.860 that
00:49:15.960 you're
00:49:16.140 not
00:49:16.320 good
00:49:16.540 enough
00:49:16.760 to be
00:49:17.040 vice
00:49:17.300 president
00:49:17.660 and that's
00:49:18.560 what the
00:49:18.800 ad said
00:49:19.260 that's
00:49:19.600 the way
00:49:19.740 they phrased
00:49:20.180 it
00:49:20.340 why
00:49:20.580 are we
00:49:21.480 not
00:49:21.700 good
00:49:21.940 enough
00:49:22.280 to be
00:49:23.320 a
00:49:23.440 vice
00:49:23.640 president
00:49:24.040 because
00:49:25.100 we have
00:49:25.420 the
00:49:25.580 numbers
00:49:26.080 we have
00:49:27.640 the
00:49:27.780 numbers
00:49:28.220 and we
00:49:29.620 are not
00:49:30.300 an
00:49:30.620 historically
00:49:31.120 advantaged
00:49:32.180 population
00:49:33.200 now
00:49:34.300 obviously
00:49:35.260 it did
00:49:35.560 not come
00:49:35.940 through
00:49:36.160 the
00:49:36.480 pathway
00:49:38.000 of
00:49:38.260 slavery
00:49:38.620 so that's
00:49:39.120 a whole
00:49:39.360 other
00:49:39.540 story
00:49:39.940 so you
00:49:42.060 can make
00:49:42.340 the argument
00:49:42.800 but here's
00:49:43.760 the only
00:49:44.020 thing
00:49:44.240 I'm
00:49:44.440 going to
00:49:44.600 add
00:49:44.860 if that
00:49:45.760 point
00:49:46.420 gets
00:49:48.260 emphasized
00:49:48.800 I think
00:49:50.300 it will
00:49:50.720 that's
00:49:52.360 really
00:49:52.720 strong
00:49:53.280 and I
00:49:54.820 would be
00:49:55.140 curious
00:49:55.600 to hear
00:49:56.540 from
00:49:57.380 anybody
00:49:57.940 who's
00:49:58.500 a
00:49:58.720 Hispanic
00:49:59.200 American
00:49:59.660 who saw
00:50:00.160 that ad
00:50:00.760 or just
00:50:01.360 hears the
00:50:01.740 argument
00:50:02.040 how do
00:50:03.040 you feel
00:50:03.360 about it
00:50:03.820 because
00:50:05.240 maybe you
00:50:05.660 don't care
00:50:06.080 it could
00:50:06.620 be that
00:50:06.980 the people
00:50:07.320 who made
00:50:07.580 the ad
00:50:08.020 hoped
00:50:08.880 other people
00:50:09.620 would care
00:50:10.120 and they
00:50:10.560 just don't
00:50:12.020 and here's
00:50:14.660 something else
00:50:15.120 to blow
00:50:15.740 your mind
00:50:16.160 a little
00:50:16.440 bit
00:50:16.680 I feel
00:50:18.040 as though
00:50:18.560 the
00:50:19.720 Hispanic
00:50:20.320 Americans
00:50:20.880 have been
00:50:21.700 the
00:50:22.780 quietest
00:50:23.720 about
00:50:24.880 systemic
00:50:25.880 racism
00:50:26.400 it feels
00:50:27.960 that way
00:50:28.300 to me
00:50:28.720 right
00:50:29.320 it feels
00:50:30.060 like the
00:50:30.480 lead is
00:50:30.960 being taken
00:50:31.520 by both
00:50:32.100 black and
00:50:32.840 white
00:50:33.180 activists
00:50:33.920 that's
00:50:35.760 what I
00:50:36.040 see
00:50:36.240 anyway
00:50:36.520 I'm not
00:50:36.900 sure if
00:50:37.180 that's
00:50:37.360 true
00:50:37.520 but that's
00:50:37.820 what I
00:50:38.040 see
00:50:38.180 and
00:50:39.040 somebody
00:50:40.760 said to
00:50:41.220 me
00:50:41.380 yesterday
00:50:41.780 that the
00:50:42.220 reason is
00:50:42.700 that the
00:50:43.080 Hispanic
00:50:43.500 community
00:50:44.100 just cares
00:50:45.980 less
00:50:46.460 they're just
00:50:47.680 sort of
00:50:47.960 not invested
00:50:48.780 as much
00:50:49.980 in the
00:50:50.280 whole racism
00:50:51.000 racism
00:50:51.560 racism
00:50:52.260 thing
00:50:52.640 they're not
00:50:53.560 siding with
00:50:54.420 anybody
00:50:54.820 they're just
00:50:55.280 trying to get
00:50:55.880 their work
00:50:56.240 done
00:50:56.520 have their
00:50:56.960 life
00:50:57.300 you know
00:50:58.100 just stay
00:50:58.560 out of the
00:50:58.820 way
00:50:59.060 and not
00:51:00.240 get into
00:51:00.660 a fight
00:51:01.080 that's not
00:51:01.500 their fight
00:51:02.060 don't have
00:51:03.360 as much
00:51:03.840 you know
00:51:04.520 investment
00:51:05.160 in it
00:51:05.500 for some
00:51:05.820 reason
00:51:06.080 so the
00:51:07.580 thing I
00:51:07.900 don't
00:51:08.100 know
00:51:08.440 and I
00:51:09.620 be real
00:51:10.000 curious to
00:51:10.600 learn this
00:51:11.040 in the next
00:51:11.460 week or
00:51:11.960 so if
00:51:12.720 anybody wants
00:51:13.340 to tweet
00:51:14.740 at me or
00:51:15.280 send me a
00:51:15.700 message
00:51:15.980 if you
00:51:16.740 are
00:51:17.100 Hispanic
00:51:17.800 American
00:51:19.240 how does
00:51:20.440 it make
00:51:20.700 you feel
00:51:21.200 to know
00:51:21.880 that anybody
00:51:23.160 like you
00:51:24.000 can't be
00:51:24.620 vice president
00:51:25.260 under Joe
00:51:26.400 Biden
00:51:26.700 how does
00:51:27.220 that make
00:51:27.480 you feel
00:51:27.880 because as
00:51:29.980 a white
00:51:30.320 person I
00:51:31.140 say well
00:51:32.140 you know
00:51:32.540 if Biden's
00:51:34.000 there and
00:51:34.700 there have
00:51:35.020 been plenty
00:51:35.440 of white
00:51:35.780 presidents
00:51:36.360 I don't
00:51:37.240 care
00:51:37.460 fine with
00:51:38.880 me
00:51:39.160 but I
00:51:41.280 wouldn't
00:51:41.460 feel the
00:51:41.800 same if
00:51:42.120 I were
00:51:42.320 Hispanic
00:51:42.740 I think
00:51:43.680 I just
00:51:44.240 don't
00:51:44.480 know
00:51:44.760 Dr.
00:51:47.540 Fauci says
00:51:48.260 that the
00:51:48.900 reason that
00:51:49.400 Europe has
00:51:50.140 been able to
00:51:50.740 contain the
00:51:51.420 virus better
00:51:52.000 than the
00:51:52.280 United States
00:51:52.760 is that they
00:51:53.260 closed down
00:51:53.940 95% of
00:51:55.720 their economies
00:51:56.380 while the
00:51:57.880 US only
00:51:58.500 shut down
00:51:59.020 50%
00:51:59.780 so who
00:52:01.840 who's the
00:52:02.520 idiot there
00:52:03.060 so Trump
00:52:04.980 closed the
00:52:06.200 economy
00:52:06.520 only 50%
00:52:07.640 and then
00:52:08.120 had more
00:52:09.160 deaths
00:52:09.660 per capita
00:52:10.820 but in
00:52:12.400 Europe
00:52:12.740 those smart
00:52:14.140 Europeans
00:52:14.620 they went
00:52:15.420 all the way
00:52:15.820 to 95%
00:52:16.740 shutdown
00:52:17.120 and got a
00:52:20.000 better death
00:52:21.200 rate
00:52:21.420 so they're
00:52:23.240 the smart
00:52:23.660 ones right
00:52:24.120 yay Europe
00:52:25.440 they won
00:52:26.020 I don't
00:52:27.920 think so
00:52:28.480 here's my
00:52:30.200 take on
00:52:30.660 this
00:52:30.900 from the
00:52:32.140 beginning
00:52:32.540 Trump
00:52:33.460 described the
00:52:34.160 pandemic
00:52:34.580 as a war
00:52:35.480 in wars
00:52:37.440 you take
00:52:38.360 casualties
00:52:38.980 in battle
00:52:39.700 with the
00:52:40.840 hope that
00:52:41.200 you'll win
00:52:42.020 the larger
00:52:42.840 war
00:52:43.360 Trump's
00:52:44.800 approach
00:52:45.260 and he
00:52:45.820 said it
00:52:46.100 directly
00:52:46.480 and he
00:52:46.820 said it
00:52:47.080 a lot
00:52:47.320 of times
00:52:47.780 is that
00:52:48.420 it's a
00:52:48.720 war
00:52:49.060 at the
00:52:51.500 end of
00:52:51.760 the war
00:52:52.180 who won
00:52:53.580 let's say
00:52:54.560 let's say
00:52:55.100 that both
00:52:55.580 Europe and
00:52:56.040 the United
00:52:56.340 States get
00:52:56.980 to the end
00:52:57.460 of the
00:52:57.680 pandemic
00:52:58.080 whenever
00:52:58.560 that is
00:52:59.080 and our
00:53:00.760 death rate
00:53:01.260 is higher
00:53:01.780 but our
00:53:03.860 economy
00:53:04.380 is better
00:53:05.400 right
00:53:06.700 so our
00:53:07.460 death rate
00:53:07.940 is higher
00:53:08.480 but our
00:53:09.720 economy
00:53:10.220 is better
00:53:10.840 who won
00:53:12.200 the war
00:53:12.680 the war
00:53:14.220 is with
00:53:14.620 China
00:53:15.020 right
00:53:16.380 the pandemic
00:53:17.140 is just
00:53:17.680 sort of
00:53:18.960 you know
00:53:19.240 part of
00:53:19.600 the war
00:53:19.940 but the
00:53:20.940 long-term
00:53:21.540 war
00:53:22.060 is with
00:53:23.100 China
00:53:23.420 and whoever
00:53:24.700 has the
00:53:25.240 strongest
00:53:25.600 economy
00:53:26.340 is going
00:53:27.060 to have
00:53:27.200 the strongest
00:53:27.660 defense
00:53:28.680 and the
00:53:29.740 most
00:53:30.120 ability
00:53:30.580 to survive
00:53:31.940 in the
00:53:32.280 future
00:53:32.560 so we
00:53:33.900 don't know
00:53:34.260 how Europe
00:53:35.060 and the
00:53:35.780 US will
00:53:36.260 come out
00:53:36.640 of this
00:53:36.940 but I
00:53:37.620 would argue
00:53:38.020 that if
00:53:39.020 the US
00:53:39.740 economy
00:53:40.300 goes up
00:53:42.700 like a
00:53:43.020 whole
00:53:43.220 level
00:53:43.640 something
00:53:44.620 that's
00:53:45.000 really
00:53:45.340 obvious
00:53:46.060 and measurable
00:53:46.900 and sustained
00:53:48.940 if it goes
00:53:49.960 up a level
00:53:50.540 and Europe
00:53:51.100 let's say
00:53:51.600 goes down
00:53:52.160 or doesn't
00:53:52.600 go up
00:53:53.020 and it
00:53:53.840 causes
00:53:54.160 like a
00:53:54.760 permanent
00:53:55.680 situation
00:53:56.340 of more
00:53:57.100 American
00:53:57.540 economic
00:53:58.360 power
00:53:59.600 relative
00:54:00.080 to Europe
00:54:00.660 who
00:54:02.080 was
00:54:02.700 smarter
00:54:03.040 even if
00:54:05.520 we had
00:54:05.940 a pretty
00:54:06.900 grotesquely
00:54:07.740 higher
00:54:08.180 death rate
00:54:08.880 let's say
00:54:09.760 we lost
00:54:10.400 I don't know
00:54:11.920 50,000
00:54:12.960 people
00:54:13.400 that we
00:54:14.660 didn't need
00:54:15.120 to lose
00:54:15.520 if we
00:54:15.880 had done
00:54:16.120 it the
00:54:16.400 European
00:54:16.740 way
00:54:17.120 how long
00:54:18.340 would it
00:54:18.680 take
00:54:19.020 for us
00:54:19.600 to recoup
00:54:20.360 the 50,000
00:54:22.020 dead
00:54:22.700 people
00:54:23.180 obviously
00:54:23.660 they don't
00:54:24.100 pop back
00:54:24.620 to life
00:54:25.060 but a
00:54:25.860 strong
00:54:26.180 economy
00:54:26.700 can keep
00:54:27.300 other people
00:54:27.800 alive
00:54:28.200 who would
00:54:28.540 have
00:54:28.660 otherwise
00:54:29.280 perished
00:54:30.120 and can
00:54:30.860 keep the
00:54:31.260 country
00:54:31.520 safe
00:54:31.980 from
00:54:32.660 external
00:54:33.200 threats
00:54:33.640 in a way
00:54:34.060 that you
00:54:34.320 can't
00:54:34.660 if you
00:54:34.880 don't
00:54:35.040 have
00:54:35.220 money
00:54:35.520 so
00:54:36.760 I
00:54:38.060 feel
00:54:38.460 as if
00:54:39.000 Trump
00:54:40.320 told us
00:54:41.320 it was
00:54:41.660 a war
00:54:42.140 told us
00:54:43.820 there would
00:54:44.200 be
00:54:44.400 casualties
00:54:45.080 kept
00:54:47.560 kept the
00:54:48.180 economy
00:54:48.640 you know
00:54:49.220 open
00:54:49.700 ish
00:54:50.440 and
00:54:51.660 basically
00:54:53.480 went to
00:54:53.960 war
00:54:54.260 and
00:54:55.940 as
00:54:57.200 commander
00:54:57.660 in chief
00:54:58.200 he knew
00:54:59.440 he would
00:54:59.780 take
00:55:00.040 casualties
00:55:00.680 in the
00:55:01.900 short
00:55:02.120 term
00:55:02.420 but the
00:55:02.960 point of
00:55:03.520 it is
00:55:03.820 to win
00:55:04.120 the war
00:55:04.600 not the
00:55:05.680 individual
00:55:06.160 battles
00:55:06.700 every time
00:55:07.360 and I
00:55:08.660 feel as
00:55:09.100 though
00:55:09.380 when this
00:55:10.420 is all
00:55:10.740 said and
00:55:11.160 done
00:55:11.400 and we're
00:55:11.800 looking back
00:55:12.400 at it
00:55:12.700 in five
00:55:13.100 years
00:55:13.460 if the
00:55:14.720 U.S.
00:55:15.000 economy
00:55:15.560 got a
00:55:16.820 permanent
00:55:17.220 sustained
00:55:18.060 bump
00:55:18.580 from
00:55:19.120 relative
00:55:20.160 to
00:55:21.240 Europe
00:55:21.580 I'm
00:55:22.660 going to
00:55:22.840 say
00:55:22.980 Trump
00:55:23.300 won
00:55:23.600 and I'm
00:55:24.620 going to
00:55:24.760 say
00:55:24.900 Europe
00:55:25.120 lost
00:55:25.440 the
00:55:25.600 war
00:55:25.760 but we
00:55:27.120 don't
00:55:27.260 know
00:55:27.420 that
00:55:27.560 that will
00:55:27.800 happen
00:55:28.060 I'm
00:55:28.920 just
00:55:29.080 setting
00:55:29.360 that up
00:55:29.780 right
00:55:30.300 now
00:55:30.860 so
00:55:34.260 of course
00:55:34.820 Republicans
00:55:35.360 and Democrats
00:55:36.620 are
00:55:37.100 arguing
00:55:37.760 about
00:55:38.040 the
00:55:38.220 coronavirus
00:55:38.760 relief
00:55:41.120 bill
00:55:41.520 which
00:55:42.080 means
00:55:42.300 the
00:55:42.460 checks
00:55:42.680 aren't
00:55:42.900 going
00:55:43.120 out
00:55:43.500 which
00:55:44.140 means
00:55:44.400 that
00:55:44.560 people
00:55:44.800 will
00:55:45.160 be
00:55:45.460 unable
00:55:45.960 to
00:55:46.280 eat
00:55:46.700 and
00:55:46.900 pay
00:55:47.060 the
00:55:47.220 rent
00:55:47.480 and
00:55:49.340 here's
00:55:50.480 what
00:55:50.620 I
00:55:50.760 would
00:55:50.900 suggest
00:55:51.360 given
00:55:53.360 that
00:55:53.800 the
00:55:55.780 total
00:55:56.160 amount
00:55:56.500 of
00:55:56.700 printed
00:55:57.020 money
00:55:57.360 and
00:55:57.600 new
00:55:57.860 debt
00:55:58.320 if you
00:55:58.640 will
00:55:58.860 that
00:56:00.700 we've
00:56:00.920 already
00:56:01.160 done
00:56:01.480 don't
00:56:02.460 we owe
00:56:02.760 something
00:56:03.000 like
00:56:03.240 28
00:56:03.680 trillion
00:56:04.040 dollars
00:56:04.520 at
00:56:05.320 this
00:56:05.520 point
00:56:05.740 the
00:56:05.900 national
00:56:06.220 debt
00:56:06.520 the
00:56:07.520 difference
00:56:08.700 between
00:56:09.320 the
00:56:10.200 smaller
00:56:10.620 number
00:56:11.040 or
00:56:11.900 even
00:56:12.380 the
00:56:12.860 difference
00:56:13.180 in how
00:56:13.460 they
00:56:13.580 want
00:56:13.760 to
00:56:13.880 spend
00:56:14.120 it
00:56:14.320 I
00:56:15.240 would
00:56:15.420 recommend
00:56:15.920 that you
00:56:16.340 just
00:56:16.540 give
00:56:16.860 both
00:56:17.320 the
00:56:17.520 Democrats
00:56:17.920 and
00:56:18.320 the
00:56:18.460 Republicans
00:56:18.920 everything
00:56:19.500 they've
00:56:19.840 asked
00:56:20.060 for
00:56:20.360 because
00:56:21.420 it's
00:56:21.560 not
00:56:21.720 going
00:56:21.840 to
00:56:21.920 make
00:56:22.140 much
00:56:24.180 difference
00:56:24.660 so
00:56:25.360 in
00:56:25.480 other
00:56:25.640 words
00:56:25.880 Democrats
00:56:26.460 and
00:56:26.700 Republicans
00:56:27.100 they
00:56:28.440 have
00:56:28.980 different
00:56:29.600 ideas
00:56:30.660 of how
00:56:31.040 much
00:56:31.220 to spend
00:56:31.760 on each
00:56:32.180 category
00:56:32.760 of
00:56:33.000 thing
00:56:33.280 I
00:56:34.380 would
00:56:34.540 say
00:56:34.720 take
00:56:34.980 the
00:56:35.200 biggest
00:56:35.480 number
00:56:35.880 that
00:56:36.580 either
00:56:36.940 one
00:56:37.180 of
00:56:37.340 them
00:56:37.500 have
00:56:37.840 for
00:56:38.200 every
00:56:38.500 category
00:56:38.960 and
00:56:39.240 pick
00:56:39.440 it
00:56:39.660 just
00:56:40.360 pick
00:56:40.600 the
00:56:40.780 biggest
00:56:41.080 number
00:56:41.480 that
00:56:42.500 the
00:56:42.680 Republicans
00:56:43.160 want
00:56:43.600 for
00:56:43.860 let's
00:56:44.320 say
00:56:44.540 tax
00:56:45.020 cuts
00:56:45.340 and
00:56:46.100 the
00:56:46.300 biggest
00:56:46.580 number
00:56:46.940 that
00:56:47.320 the
00:56:48.320 Democrats
00:56:49.680 want
00:56:50.100 for
00:56:50.360 social
00:56:51.160 services
00:56:51.720 just
00:56:52.840 take
00:56:53.380 the
00:56:53.560 biggest
00:56:53.920 number
00:56:54.300 and
00:56:55.040 just
00:56:55.260 freaking
00:56:55.660 get
00:56:55.900 it
00:56:56.040 done
00:56:56.300 so
00:56:56.860 you
00:56:56.960 can
00:56:57.100 feed
00:56:57.380 some
00:56:57.600 people
00:56:57.900 because
00:56:58.800 that
00:56:59.500 difference
00:56:59.960 to our
00:57:00.360 total
00:57:00.640 national
00:57:01.120 debt
00:57:01.460 at
00:57:01.720 this
00:57:01.940 point
00:57:02.280 is
00:57:04.740 sort
00:57:05.020 of
00:57:05.140 lost
00:57:05.400 in
00:57:05.580 the
00:57:05.700 rounding
00:57:06.040 unfortunately
00:57:06.620 you know
00:57:07.480 somebody
00:57:08.920 says
00:57:09.180 100
00:57:09.480 trillion
00:57:09.880 what
00:57:11.960 was
00:57:12.340 28
00:57:12.840 trillion
00:57:13.240 was
00:57:13.560 28
00:57:14.020 trillion
00:57:14.420 not
00:57:16.140 this
00:57:16.540 year
00:57:17.000 right
00:57:17.520 that
00:57:18.440 would
00:57:18.740 be
00:57:18.880 too
00:57:19.040 big
00:57:19.300 all
00:57:20.060 right
00:57:20.160 so
00:57:20.300 I
00:57:20.400 don't
00:57:20.500 have
00:57:20.680 any
00:57:20.820 of
00:57:20.920 my
00:57:21.020 numbers
00:57:21.300 right
00:57:21.520 but
00:57:21.680 the
00:57:21.900 basic
00:57:22.640 idea
00:57:23.020 is
00:57:23.420 the
00:57:24.040 way
00:57:24.220 to
00:57:24.360 solve
00:57:24.620 this
00:57:24.900 difference
00:57:25.360 in
00:57:25.600 congress
00:57:25.940 is
00:57:26.200 to
00:57:26.360 give
00:57:26.540 both
00:57:26.820 sides
00:57:27.100 everything
00:57:27.520 give
00:57:28.520 both
00:57:28.940 sides
00:57:29.400 everything
00:57:30.260 and
00:57:32.200 just
00:57:32.400 feed
00:57:32.640 the
00:57:32.760 people
00:57:33.040 because
00:57:33.420 otherwise
00:57:33.660 people
00:57:34.000 die
00:57:34.340 from
00:57:34.520 starvation
00:57:35.100 and
00:57:35.360 stuff
00:57:35.640 like
00:57:36.440 you know
00:57:37.120 I'm
00:57:37.380 I'm
00:57:37.400 not
00:57:37.500 going
00:57:37.600 to
00:57:37.620 argue
00:57:37.840 about
00:57:38.120 another
00:57:38.540 3%
00:57:40.000 on
00:57:40.280 the
00:57:40.580 national
00:57:42.340 debt
00:57:42.720 if
00:57:43.460 people
00:57:43.700 are
00:57:43.860 starving
00:57:44.240 so
00:57:45.540 the
00:57:50.580 debt
00:57:50.960 yeah
00:57:51.620 I need
00:57:52.100 to check
00:57:52.420 my numbers
00:57:52.860 I don't
00:57:53.120 know
00:57:53.280 enough
00:57:53.520 about
00:57:53.760 national
00:57:54.140 debt
00:57:54.420 20
00:57:56.780 trillion
00:57:57.100 I'm
00:57:57.320 seeing
00:57:57.500 people
00:57:57.840 throwing
00:57:58.480 some
00:57:58.700 numbers
00:57:58.960 out
00:57:59.160 in
00:57:59.380 the
00:57:59.580 comments
00:58:00.460 somebody
00:58:04.240 says
00:58:04.620 you
00:58:04.880 do
00:58:05.280 28
00:58:05.840 trillion
00:58:06.140 is
00:58:06.420 the
00:58:06.640 current
00:58:07.180 total
00:58:08.200 debt
00:58:08.760 current
00:58:10.340 total
00:58:10.880 debt
00:58:11.220 so
00:58:11.960 that's
00:58:12.220 not
00:58:12.420 annual
00:58:12.780 that's
00:58:13.220 how
00:58:13.520 much
00:58:13.740 we've
00:58:14.020 racked
00:58:14.320 up
00:58:14.480 over
00:58:14.880 time
00:58:15.300 so
00:58:17.040 if
00:58:17.380 you're
00:58:17.560 going
00:58:17.660 to
00:58:17.760 add
00:58:18.060 to
00:58:18.440 your
00:58:18.700 28
00:58:19.340 trillion
00:58:19.900 total
00:58:20.740 debt
00:58:21.160 one
00:58:22.280 more
00:58:22.540 trillion
00:58:22.960 than
00:58:24.600 you
00:58:24.800 wanted
00:58:25.060 to
00:58:25.300 I
00:58:26.460 think
00:58:26.720 if
00:58:26.960 this
00:58:27.320 is
00:58:27.460 the
00:58:27.600 time
00:58:27.800 to
00:58:27.960 do
00:58:28.120 it
00:58:28.320 just
00:58:28.880 throw
00:58:29.160 it
00:58:29.300 in
00:58:29.400 there
00:58:29.600 throw
00:58:31.300 it
00:58:31.480 in
00:58:31.580 there
00:58:31.760 and
00:58:32.140 see
00:58:32.400 if
00:58:32.540 that
00:58:32.680 helps
00:58:32.980 all
00:58:33.800 right
00:58:33.960 I
00:58:36.300 think
00:58:36.560 I've
00:58:36.760 talked
00:58:36.960 about
00:58:37.200 everything
00:58:37.560 that
00:58:37.800 matters
00:58:38.120 today
00:58:38.580 somebody
00:58:43.360 says
00:58:43.740 people
00:58:44.080 should
00:58:44.460 be
00:58:44.640 able
00:58:44.840 to
00:58:45.060 sue
00:58:45.440 their
00:58:45.680 employers
00:58:46.200 if
00:58:46.580 they
00:58:46.740 get
00:58:46.960 sick
00:58:47.420 I
00:58:49.640 don't
00:58:49.920 know
00:58:50.220 maybe
00:58:52.120 I
00:58:53.620 don't
00:58:53.720 know
00:58:53.820 I'd
00:58:54.000 have
00:58:54.100 to
00:58:54.200 think
00:58:54.380 about
00:58:54.580 that
00:58:54.740 one
00:58:54.940 because
00:58:55.680 that's
00:58:55.960 got
00:58:56.320 some
00:58:56.520 real
00:58:56.700 trade
00:58:56.960 offs
00:58:57.240 somebody
00:59:01.760 says
00:59:02.100 not
00:59:02.360 hearing
00:59:02.740 or
00:59:03.020 seeing
00:59:03.380 hunger
00:59:03.820 reported
00:59:04.480 other
00:59:05.400 than
00:59:05.620 here
00:59:05.880 yeah
00:59:06.820 so
00:59:08.760 far
00:59:09.240 it's
00:59:10.140 my
00:59:10.340 understanding
00:59:10.920 that
00:59:11.860 nobody
00:59:12.160 starved
00:59:12.580 to
00:59:12.720 death
00:59:12.940 and
00:59:13.900 I
00:59:14.060 think
00:59:14.200 we
00:59:14.340 have
00:59:14.460 to
00:59:14.580 pat
00:59:14.780 ourselves
00:59:15.080 on
00:59:15.260 the
00:59:15.360 back
00:59:15.580 a little
00:59:15.860 bit
00:59:16.040 for
00:59:16.160 that
00:59:16.380 as
00:59:16.700 as
00:59:17.240 America
00:59:17.940 because
00:59:18.960 remember
00:59:19.420 early
00:59:19.740 on
00:59:20.100 when
00:59:21.160 we
00:59:21.580 first
00:59:22.040 we
00:59:22.800 first
00:59:23.100 were
00:59:23.420 presented
00:59:23.960 with
00:59:24.160 the
00:59:24.260 pandemic
00:59:24.640 and
00:59:25.420 I
00:59:25.560 was
00:59:25.700 trying
00:59:25.920 to
00:59:26.160 calm
00:59:26.840 the
00:59:27.200 fears
00:59:27.640 of
00:59:28.280 my
00:59:28.460 audience
00:59:28.920 and
00:59:29.340 I
00:59:29.500 said
00:59:29.860 we're
00:59:30.680 not
00:59:30.900 going
00:59:31.040 to
00:59:31.100 run
00:59:31.240 out
00:59:31.380 of
00:59:31.520 food
00:59:31.920 so
00:59:33.040 I
00:59:33.240 said
00:59:33.660 that
00:59:33.940 as
00:59:34.720 hard
00:59:35.040 as
00:59:35.360 I
00:59:35.500 possibly
00:59:35.900 could
00:59:36.240 that
00:59:37.020 we're
00:59:37.160 not
00:59:37.360 going
00:59:37.500 to
00:59:37.580 run
00:59:37.740 out
00:59:37.940 of
00:59:38.140 food
00:59:38.900 and
00:59:40.220 so
00:59:40.460 far
00:59:40.640 not
00:59:40.960 so
00:59:41.860 I
00:59:42.160 think
00:59:42.680 that's
00:59:42.980 really
00:59:43.220 a
00:59:43.460 credit
00:59:43.720 to
00:59:43.920 us
00:59:44.160 you
00:59:44.580 see
00:59:45.240 everything
00:59:45.600 we
00:59:45.840 do
00:59:46.020 wrong
00:59:46.420 but
00:59:47.180 you
00:59:47.300 don't
00:59:47.480 see
00:59:47.680 the
00:59:47.840 things
00:59:48.080 we
00:59:48.240 did
00:59:48.460 right
00:59:48.780 so
00:59:49.820 let's
00:59:50.920 give
00:59:51.080 a
00:59:51.280 standing
00:59:51.720 ovation
00:59:52.260 to
00:59:52.660 the
00:59:52.960 food
00:59:54.000 supply
00:59:54.500 chain
00:59:54.840 in
00:59:55.060 the
00:59:55.180 United
00:59:55.420 States
00:59:55.840 just
00:59:56.320 a
00:59:56.540 tremendous
00:59:56.880 number
00:59:57.240 of
00:59:57.400 people
00:59:57.720 taking
00:59:58.780 risks
00:59:59.360 the
00:59:59.860 meat
01:00:00.360 packers
01:00:01.000 the
01:00:01.840 food
01:00:02.760 industry
01:00:03.920 in this
01:00:04.360 country
01:00:04.700 basically
01:00:05.800 went to
01:00:06.620 war
01:00:06.980 if you
01:00:08.360 think
01:00:08.560 about
01:00:08.780 it
01:00:09.000 the
01:00:09.560 food
01:00:10.200 workers
01:00:10.940 especially
01:00:12.020 the
01:00:12.320 meat
01:00:12.520 packers
01:00:12.880 were
01:00:13.040 exposed
01:00:14.120 they
01:00:14.880 went
01:00:15.080 to
01:00:15.240 war
01:00:15.600 they
01:00:16.760 didn't
01:00:16.920 want
01:00:17.140 to
01:00:17.340 I'm
01:00:17.900 sure
01:00:18.040 it
01:00:18.220 wasn't
01:00:18.720 their
01:00:18.880 first
01:00:19.120 choice
01:00:19.440 but
01:00:20.260 the
01:00:20.520 alternative
01:00:21.040 was
01:00:21.560 that
01:00:21.740 their
01:00:21.960 fellow
01:00:22.480 citizens
01:00:23.460 starved
01:00:24.160 to
01:00:24.300 death
01:00:24.500 so
01:00:25.560 it's
01:00:25.880 a little
01:00:26.040 different
01:00:26.260 than
01:00:26.440 teachers
01:00:26.800 you know
01:00:27.240 because
01:00:27.500 you
01:00:27.780 can
01:00:28.180 you
01:00:28.520 get
01:00:28.640 a little
01:00:28.880 bit
01:00:29.060 more
01:00:29.380 flexibility
01:00:31.260 with
01:00:31.920 education
01:00:32.580 but
01:00:33.760 the
01:00:34.160 food
01:00:34.920 workers
01:00:35.360 of
01:00:35.620 America
01:00:36.080 heroes
01:00:38.460 absolute
01:00:39.620 heroes
01:00:40.160 because
01:00:41.200 they
01:00:41.340 kept
01:00:41.580 us
01:00:41.760 fed
01:00:42.020 so
01:00:43.360 I
01:00:44.600 saw
01:00:45.180 somebody
01:00:45.460 ask
01:00:45.660 about
01:00:45.960 Dershowitz
01:00:46.620 I
01:00:46.760 understand
01:00:47.100 there's
01:00:47.380 an
01:00:47.520 interesting
01:00:47.900 interview
01:00:49.640 with
01:00:49.860 him
01:00:50.000 that
01:00:50.140 I
01:00:50.220 haven't
01:00:50.400 seen
01:00:50.600 yet
01:00:50.800 so
01:00:50.980 we'll
01:00:51.160 look
01:00:51.300 at
01:00:51.400 that
01:00:51.640 in a
01:00:52.000 bit
01:00:52.180 and
01:00:52.560 I
01:00:52.700 will
01:00:52.820 talk
01:00:53.000 to
01:00:53.100 you
01:00:53.300 tomorrow