Real Coffee with Scott Adams - Episode 900 Scott Adams： Why I Have Decided to Identify as Woman to Lower My #Coronavirus Risk

00:00:00.000 Bum, bum, bum. Bum, bum, bum, bum. Bum, bum, bum, bum, bum, bum, bum, bum. 0.95

00:00:07.140 Hey, everybody. Come on in. It's almost time for Coffee with Scott Adams.

00:00:14.360 This is the place. It is.

00:00:18.220 Have you noticed that not a single person who regularly watches Coffee with Scott Adams has died from the coronavirus?

00:00:25.240 It's true. If there's anybody on here who can refute that claim, please let me know.

00:00:32.560 But for now, I'm going to say that watching Coffee with Scott Adams and the simultaneous sip

00:00:38.740 has some protective qualities that are just as proven as hydroxychloroquine.

00:00:45.760 Unfortunately, that's true.

00:00:46.960 But it's a good thing you're here because you can enjoy the protective value of the simultaneous sip

00:00:55.260 and all you need is a cup or a mug or a glass, a tank or chalice or stein, a canteen jug or flask, a vessel of any kind.

00:01:02.660 Fill it with your favorite liquid. I like coffee.

00:01:05.580 And join me now for the unparalleled pleasure of the dopamine hit of the day,

00:01:08.480 the thing that makes everything, including the pandemic, better. 0.99

00:01:13.040 I just realized that you can't spell pandemic without damn. 0.96

00:01:18.960 Probably doesn't mean anything. 0.98

00:01:20.960 But it's time for the simultaneous sip. Go.

00:01:27.520 The pan-damic. 0.99

00:01:31.120 Well, I guess you can spell it without damn. 0.97

00:01:33.380 But you can't spell it without dem. 0.98

00:01:35.360 Wait a minute.

00:01:37.160 Wait a minute.

00:01:38.600 You can't spell pandemic without dem. 0.98

00:01:44.000 Hmm.

00:01:45.960 All right.

00:01:47.720 So here's the most fun story of the day.

00:01:51.800 Most of you have seen on social media a chart that seemed to show that the number of pneumonia deaths this year

00:01:59.880 fell off a cliff just when we started reporting the coronavirus deaths.

00:02:06.340 And the implication is that regular pneumonia was being classified incorrectly as coronavirus deaths

00:02:15.020 because why would the pneumonia deaths suddenly just disappear

00:02:18.980 when they've never done that any other year this month?

00:02:22.940 All the other years had a somewhat, you know, similar curve, except this one went, boop.

00:02:29.300 Now, to catch you up, I saw that chart and said to myself, that looks like a fake chart.

00:02:35.620 And so I challenged the world to debunk it or not debunk it.

00:02:40.080 And pretty soon there was a debunker.

00:02:42.700 But then, as I reported yesterday, there was a debunker of the debunker.

00:02:47.340 So I started out thinking, well, it's debunked.

00:02:51.440 And then somebody debunked the debunking.

00:02:53.380 And I thought, well, maybe it's not.

00:02:55.560 But I'm going to show you how to end an argument.

00:02:58.660 You've never seen an argument ended as eloquently as the one I'm going to end right now.

00:03:06.840 And this is with the help of Tyler Morgan,

00:03:13.320 whose profile says he's a freelance data scientist, software developer, business analyst, and mining engineer.

00:03:21.680 So he's a freelance data scientist.

00:03:23.780 So that's exactly the right skill set to look at this chart and then look at the data

00:03:30.360 and tell us if this chart is accurately reflecting the data, all right?

00:03:35.000 So it's the right job, the right guy.

00:03:38.860 But wow, talk about nailing it.

00:03:42.300 I have to show it to you.

00:03:43.300 And I don't know if you'll be able to see it.

00:03:45.080 I'm going to see.

00:03:46.180 Can you see this if I hold it?

00:03:48.620 Let me see if I can.

00:03:50.640 I'll change the lighting setting on here.

00:03:53.780 And darken it.

00:03:54.900 And then I think you'll be able to barely make it out.

00:03:57.660 Because you have to see it moving.

00:04:00.680 So here's a chart made by Tyler Morgan, data analyst.

00:04:04.880 Let's see if you can see it. 0.83

00:04:06.760 If I hold it just right, I think you can all darn it. 0.77

00:04:12.480 Oh, this is such a good chart. 0.92

00:04:14.060 I have to try one more time to see if I can let you see that.

00:04:18.380 Because this is just so good.

00:04:21.420 How about now?

00:04:22.240 Oh, kind of.

00:04:24.500 All right. 0.99

00:04:25.920 So, damn it. 0.99

00:04:27.980 I have to hold it just right. 0.99

00:04:30.020 This is so annoying.

00:04:31.520 Oh, I guess it probably color adjusted.

00:04:34.380 That's what happened.

00:04:36.740 Yeah.

00:04:37.060 All right.

00:04:37.820 Well, this would be really impressive if you could see it.

00:04:40.980 Let me describe it for those of you who are just listening.

00:04:46.800 So, Tyler Morgan, who is a freelance data scientist, took all the data from the CDC.

00:04:52.920 And this is the source, the same source, that the allegedly misleading graph used.

00:04:59.720 And when he graphed it, he graphed it in the same timing as the other years had been graphed.

00:05:06.840 In other words, he built his graph to show the curve being built up over time as the reporting came in each month for prior years.

00:05:16.360 And what he found, somebody said, turn blue light off.

00:05:23.900 Let me try that.

00:05:25.920 Alexa, turn off studio. 1.00

00:05:29.540 All right.

00:05:33.200 So, let's see if I go dark, if you can see that.

00:05:36.500 No, I didn't.

00:05:37.120 Oh, almost.

00:05:38.220 There it is.

00:05:39.980 You can almost see it moving in the dark there.

00:05:42.580 All right.

00:05:42.820 So, you see the little line below.

00:05:45.340 It's actually a different line for each year.

00:05:47.840 You can't tell that there are different colors for the year.

00:05:50.480 But what you can see is that the line starts out seeming to have this inexplicable dip when it reaches the middle there.

00:05:57.160 It seems to be dipping down.

00:05:58.520 But that's a fake dip caused by the known lag in data.

00:06:04.220 So, as the data comes in, the curve just goes back to where all the other curves are for the prior years.

00:06:10.580 So, I'm glad whoever said to turn off the blue light, that was exactly the right answer.

00:06:16.280 So, thank you for doing that.

00:06:19.060 But look how perfectly this ends the argument.

00:06:22.560 Because that line is for not just this year, but it's for every prior year.

00:06:26.520 And you can see that every year at this time, there's an unexplained dip, which actually is explained by the lag.

00:06:33.840 And all of them will be the same.

00:06:35.800 So, Alexa, turn on studio. 1.00

00:06:38.800 Sorry, I'm triggering all your devices at home.

00:06:45.180 But since you don't have a studio, it probably won't hurt anything.

00:06:49.280 All right.

00:06:49.660 So, I've never seen an argument ended so perfectly, have you?

00:06:55.880 Have you ever seen an argument on Twitter that actually came to some kind of a conclusion?

00:07:02.460 Usually, you could argue forever.

00:07:05.040 And if we'd only been arguing without the benefit of an animated graph, because it was the animation that brought it alive.

00:07:13.020 Now, I'd like to tie this point to the point I've been making since day one about the task force.

00:07:20.620 You've seen me just complaining endlessly that the task force gives you raw numbers and doesn't put them in context.

00:07:27.800 So, I don't care how many masks you delivered, unless I know how many you needed.

00:07:34.080 It doesn't tell me if you got 10% as what you needed or 110%.

00:07:38.460 And my point is that they had the wrong people working, so that the task force simply didn't have anybody on their team who was as talented as Tyler Morgan.

00:07:50.640 So, you know, a guy on internet just totally nails his data visualization.

00:07:56.860 Honestly, this is the best data visualization I've ever seen in my life, in terms of getting you to, you know, an answer in a way that just ends the conversation.

00:08:07.360 It's probably the best one I've ever seen.

00:08:10.320 So, somebody like him should have been working with the task force to give us a picture, give us a graph, give us some kind of visual sense of are we getting close to getting enough supplies or not.

00:08:22.680 Here's my sense of it.

00:08:24.060 I think we're going to overshoot the supplies.

00:08:27.640 And I was happy when Dr. Brooks was talking about the system.

00:08:31.860 Because, you know, I always obsess about a system.

00:08:34.040 You know, rather than saying it's our goal to get everybody enough stuff, I always say, well, it's great to have a goal, but what's your system?

00:08:43.400 If you don't have a system, you're not going to achieve your goal.

00:08:46.700 So, Dr. Brooks, for the first time, gave a little detail of the system.

00:08:50.600 So, apparently, at the federal level, they do have some visibility into the hospitals.

00:08:54.320 It's becoming apparent that at least part of the problem for them getting numbers about how much people have and how much they need, and I think this is very clear now, is that the hospitals were lying to them.

00:09:09.320 And it must have been obvious.

00:09:11.140 In other words, hospitals were saying, ah, yeah, we're going to need a million masks.

00:09:15.320 When they might have thought they needed 100,000, but they didn't want to run out.

00:09:21.760 So, everybody's sort of maximizing their selfish individual hospital benefit.

00:09:28.060 And that's not a flaw in the people.

00:09:31.360 The system causes everybody to try to maximize their individual benefit, and you hope things work out in the long run.

00:09:37.620 But if they start hoarding, that doesn't work.

00:09:43.460 You know, capitalism works even when everybody's selfish, because the rules of capitalism and the transparency and everything allow that to work.

00:09:53.560 But it doesn't always work.

00:09:55.020 All right.

00:09:55.220 So, Cuomo was saying he needed 30,000 ventilators.

00:10:04.980 So, what I think is that now that Berks has described the system in which the federal government has some visibility and they're overruling the requests from the individual areas, which I think is exactly what I wanted to hear.

00:10:21.240 Because in order to make sure that the places with an immediate need can get, you know, get ventilators and stuff transferred to them, is the government needs to look at their numbers of all the hospitals reporting,

00:10:35.100 and then act like an adult and say, you don't need a million of these.

00:10:41.560 I know you want a million, and I know you'd feel better if you had a million, and I know you can pay for a million, but maybe this isn't statistically where we need a million masks.

00:10:52.000 So, when Berks, the doctor, described that that was their system where the federal government had visibility, that was the first thing I needed to know that I didn't know.

00:11:04.260 I didn't know that they had visibility.

00:11:06.580 And then also they were doubting the requests.

00:11:10.260 That makes me very comfortable.

00:11:11.880 I want the federal government to be playing the adult and, you know, doubting the need of individual things and putting a larger, you know, analytical frame on it so that they can adjust things.

00:11:24.080 With that system in place, and absent the government saying, uh-oh, we have a big emergency in this one supply,

00:11:32.960 if the government thought they were going to run out of supplies at this point, you know, as of today's vantage point,

00:11:39.880 I'm almost positive you would be hearing something like this, you know, we're really short on this supply.

00:11:49.520 But you're not hearing that, right?

00:11:50.980 You're hearing sort of a general, we need more of everything.

00:11:55.180 The fact that it's only general and nobody's saying, my God, we ran out of this one thing, we've got to get these tomorrow,

00:12:02.300 suggests that the government might be comfortable that we'll have enough everywhere.

00:12:07.740 And that comfort might come entirely from their newfound ability to overrule the hospitals and move things where the federal government,

00:12:19.900 the National Guard, et cetera.

00:12:22.800 So, I'm going to give the task force a C plus for reporting about how many materials that we need.

00:12:35.400 I did give them an F yesterday, based on the fact that they provided no context for us to know whether the numbers they were reporting were enough or too much.

00:12:46.780 But, I'm revising that today because now with the understanding of that they have a system,

00:12:54.360 the system is completely rational from, you know, me as an observer.

00:12:58.120 I would say, yeah, that is exactly the system you needed.

00:13:02.240 I believe it exists.

00:13:03.700 I don't think Dr. Brooks is, you know, lying or misleading us that such a system exists.

00:13:09.320 So, with the knowledge that that system exists,

00:13:12.540 and the fact that the government isn't calling out some specific supply that's the extra emergency,

00:13:18.160 and the fact that the estimates have gone way down,

00:13:23.200 strongly suggests that our government thinks they'll have enough of everything.

00:13:29.220 Would you agree, by the way?

00:13:30.940 Would you agree that just sort of reading the hints suggests that the government does think that they'll have enough?

00:13:37.220 Now, that's probably a new opinion, based on the fact that the death count estimates also went down.

00:13:41.920 And, they built a system for adjusting where you need things when.

00:13:49.000 So, I'm going to give them a C+, because I think there might be a valid reason for not giving us the details.

00:13:56.400 One of them is they don't believe the details coming from the hospitals.

00:13:59.900 So, if they were to report it, they would have to simultaneously say,

00:14:04.060 but we don't think the numbers are real.

00:14:05.720 We think all the hospitals are lying to us to pad their supplies.

00:14:10.180 Although, I would have been okay with that.

00:14:12.340 But, given that they have a system, I'm okay without the details,

00:14:15.740 because I don't think there's a problem.

00:14:17.920 And, I also think it's completely sensible, if not completely ethical.

00:14:23.120 No, I will say this. Let me say this.

00:14:25.280 If the government thinks that we're going to make way too many ventilators and masks,

00:14:31.000 they should still keep pushing as hard as they are,

00:14:34.160 even if we're not going to use them in the United States.

00:14:37.100 Because, remember, even though we want to be America first,

00:14:40.380 it's a global problem, and if we don't get a control on the rest of the globe,

00:14:46.120 or they don't get a control on it, it does come back to us, right?

00:14:49.280 So, for selfish reasons, you have to help the world.

00:14:52.020 It's an enlightened selfishness, but you do have to help the world.

00:14:56.440 So, if we make ten times more ventilators than we need,

00:15:00.180 and we can share them with countries that don't have enough,

00:15:02.860 I'd say that is ethically and morally required.

00:15:06.480 I would say that's required at this point, wouldn't you say?

00:15:10.900 You know, if we have enough for the United States, but we could make more,

00:15:15.180 I think we're ethically and morally required to make them, if we can.

00:15:20.340 So, at this point, I'm pretty good with what the task force is doing with supplies.

00:15:25.300 So, let's see.

00:15:31.700 I'm already seeing the debate of the people disagreeing whether the death counts are going down

00:15:37.260 because we estimated them wrong from the beginning, or because the mitigation works, right?

00:15:43.080 I told you that this debate will never end, and when it's done, we still never know.

00:15:48.340 We'll never know.

00:15:49.600 I mean, you might think you know, but you might not.

00:15:52.240 Speaking of death estimates, Dr. Chris Murray,

00:15:56.100 Director of the Institute for Health Metrics and Evaluation at the University of Washington.

00:16:00.720 So, there's more than one model of death,

00:16:04.300 but this model is at least notable enough that it was on TV, on the TV news.

00:16:13.180 And their model says that the new predicted death count is around 82,000.

00:16:18.020 So, the U.S. death count by this model, which is one of the big ones, is lower to 82,000.

00:16:26.180 Now, that's 82,000 gross.

00:16:29.880 So, that would be the number of people who are coded as dying from coronavirus in the United States.

00:16:35.400 But, over that period, which will be a few months, there will also be, and we know for sure,

00:16:45.160 that a number of regular deaths will be avoided.

00:16:48.380 So, a whole bunch of regular deaths won't happen.

00:16:51.240 So, you have to net the 82,000, and how many regular deaths won't happen during this period.

00:16:58.080 I don't know the exact number, but it's in the tens of thousands.

00:17:00.440 So, let's say it's 50,000.

00:17:04.180 So, let's say there are 50,000 avoided, 82,000 coronavirus deaths.

00:17:10.060 So, you take the difference.

00:17:12.260 So, you'd be at 32,000 deaths net.

00:17:17.820 So, and this is an official estimate.

00:17:19.700 So, this is somebody who does this.

00:17:21.700 You know, it's not the imperial model, but it's one of the ones that gets thrown in that conversation.

00:17:28.480 And, if it gets down to 32,000 net, that's just the current estimate.

00:17:37.840 That's not the estimate, assuming that we get even better at reducing the deaths.

00:17:45.760 And, do you think that we'll get even better?

00:17:49.180 You know, do you think we'll, do you think that it will get even better?

00:17:52.940 I might.

00:17:53.420 So, whose estimate will be the closest when we're all done?

00:17:58.720 Remember, my estimate was 5,000 or less net.

00:18:06.780 Suppose the number comes in at 32,000 net.

00:18:11.020 Who had the closest estimate?

00:18:13.840 The experts, who said maybe 100,000 or 200,000, maybe a million.

00:18:21.540 Or, the cartoonist, who would be, somebody says there, is somebody re-estimating it down to the 60,000 level?

00:18:32.720 Oh, my God, I feel like I'm going to, I'm going to, I'm going to kill somebody.

00:18:37.020 Somebody in the comments says, have you given up on your 5,000 net? 0.81

00:18:45.360 I'm not going to block you, because you're just confused.

00:18:49.080 But, let me tell you, it's always 5,000 net.

00:18:56.140 If you ask me in 100 years, that will still be my prediction.

00:19:02.300 It could be right, it could be wrong, but it's never going to be gross.

00:19:08.800 It will always be net, always has been.

00:19:12.400 5,000 net.

00:19:13.960 Please never ask me again if I've changed it.

00:19:16.520 Because, even if I update it, I will be saying that the 5,000 net was wrong.

00:19:23.160 So, it would be, it would just be a new prediction if I change it.

00:19:27.020 But, this one is, it's hard-coded.

00:19:30.380 That's my prediction, right or wrong.

00:19:32.520 Now, if I change my prediction, that would be a second prediction that could be judged right or wrong.

00:19:37.360 But, the first one would be wrong if I, if I change it.

00:19:40.240 All right.

00:19:40.520 There's also, CNN is mocking the conservative people for saying that the death count may be over-counted.

00:19:54.660 And, this is Brian Stelter on CNN.

00:19:57.100 So, I have to read this, because I think it's always funny the way CNN biases their opinion stuff.

00:20:04.300 Well, I guess opinions are biased by nature, but.

00:20:07.300 So, this is Brian Stelter on CNN.

00:20:10.520 He says, some of the biggest names in right-wing media are questioning the official COVID-19 death toll.

00:20:16.620 All right.

00:20:17.020 So, some of the biggest names in right-wing media.

00:20:21.420 So, later he goes on to name who he's talking about these biggest names in right-wing media.

00:20:26.100 And, he lists them.

00:20:27.300 He says, Rush Limbaugh.

00:20:29.040 I'm thinking, yeah.

00:20:30.040 Yeah, that's, that's, that's about the biggest name in right-wing.

00:20:33.400 Well, conservative, anyway.

00:20:35.060 I wouldn't call him right-wing.

00:20:36.920 Mark Levin.

00:20:37.900 Yeah.

00:20:38.340 Yeah.

00:20:38.800 Big name.

00:20:39.480 Unconservative.

00:20:41.020 Tucker Carlson, of course.

00:20:42.240 Brett Hume.

00:20:42.820 Yeah.

00:20:43.560 And, then he throws in Diamond and Silk.

00:20:45.980 Now, I love Diamond and Silk.

00:20:48.300 And, what they do is tremendous.

00:20:50.320 I mean, there's a, there's a reason that they're successful.

00:20:52.900 They're very talented and charismatic and they're great.

00:20:56.580 But, I'm not sure I'd throw them in the same category with Tucker Carlson and Brett Hume.

00:21:02.340 But, you know, that's just what's funny is that CNN likes to, you know, just lump everybody together so that, for their purposes.

00:21:12.840 Anyway, here's his point.

00:21:14.180 He's saying that all these conservative types, who he calls right-wing, but they're, I would just say they're conservative.

00:21:21.960 They're suggesting that the numbers might be inflated in an effort to paint President Trump as doing a worse job.

00:21:30.260 And, I think that the evidence of that is that Dr. Birx said at the press conference that if somebody comes in with two conditions, let's say diabetes and also coronavirus, and they die, that they call that a coronavirus death, not a diabetes death.

00:21:51.180 If they come in with hypertension and coronavirus, they call it a coronavirus death.

00:21:56.940 Now, I think that a lot of conservative people are saying, wait a minute.

00:22:00.700 Between the fact that you've already admitted that you can't tell what they died of, and yet you're coding them all as coronavirus death just because they have coronavirus in them.

00:22:11.960 There must be a lot of people dying.

00:22:14.300 Coincidentally, you also have an infection.

00:22:17.640 So, they're saying, well, that's an obvious way that you're overcounting.

00:22:21.900 And then they look at that graph that's been debunked, and they say, well, there it is.

00:22:26.880 There's the proof.

00:22:28.280 Dr. Birx has admitted that they're coding them coronavirus without really knowing.

00:22:34.200 And then you look at the graph, and it shows there's a big drop-off in pneumonias.

00:22:38.820 Boom.

00:22:39.220 You put those two things together, and therefore, it's obvious that the number of pneumonia deaths have been undercounted,

00:22:46.780 and that they've illegitimately counted them as coronavirus deaths, and therefore, the number is inflated.

00:22:54.820 Here's what's wrong with that point of view.

00:22:59.360 Everything.

00:22:59.800 All right.

00:23:01.180 So, whoever is associated with that point of view, that's just dead wrong as far as I can tell.

00:23:08.120 Number one, remember, there are two points of data that they're using.

00:23:12.720 Number one is that graph that I talked about earlier, which is completely debunked.

00:23:16.800 So, in terms of looking at the data as it's presented on the graph, it's just fake news, bad data.

00:23:25.200 So, half of the argument, I don't know if this is true for all the individuals that I mentioned,

00:23:31.300 but in general, half of the argument is based on a graph which we know is based on lagging data and not accurate.

00:23:39.200 I won't call it a fake.

00:23:41.260 Some people object to be calling it a fake because that sounds like it was intentionally faked.

00:23:47.460 But fake also just means untrue.

00:23:50.020 So, the graph is untrue.

00:23:51.680 I don't think anybody necessarily did that intentionally.

00:23:55.380 Secondly, what do you make of the fact that Dr. Brooks admits in public that if somebody comes in with two conditions,

00:24:03.300 either one of them could kill you,

00:24:04.840 but if one of them is coronavirus, they call it a coronavirus death.

00:24:09.800 Does that inflate the number of coronavirus deaths?

00:24:15.360 I think not.

00:24:17.720 But every one of you thinks yes, right?

00:24:21.460 Probably almost every one of you, at least 90% of you, are saying,

00:24:26.080 well, duh. 0.77

00:24:27.580 If they come in with two things that could kill you,

00:24:30.400 and you don't know which one killed you,

00:24:32.520 and they're not checking, they're not doing an autopsy,

00:24:35.800 obviously, that gets you accidentally over-counting, right?

00:24:40.180 Just obviously.

00:24:42.080 It couldn't be more obvious, right?

00:24:44.820 I disagree.

00:24:46.380 I'm going to side with Dr. Brooks.

00:24:49.280 Here's why.

00:24:51.060 Statistically speaking,

00:24:53.360 what are the odds that your diabetes was going to kill you that day?

00:24:58.400 If you had diabetes, you probably didn't get it on Tuesday.

00:25:04.200 You've probably had diabetes for 15 years.

00:25:08.080 If you have diabetes for 15 years,

00:25:11.120 you go in one week for coronavirus,

00:25:14.240 and you die, 0.93

00:25:15.640 is it statistically invalid to say,

00:25:18.600 well, we can't guarantee it was the coronavirus,

00:25:22.400 but what are the odds that you've had this problem for 15 years,

00:25:28.420 and this is the week you died?

00:25:31.120 So I'm going to say it is true that you can't tell.

00:25:33.640 You cannot be 100% sure

00:25:35.800 that somebody who went into the hospital died because of the coronavirus.

00:25:40.820 But I do feel confident that from a statistical point of view,

00:25:46.120 it's probably well over 90% accurate.

00:25:49.820 Well over 90%.

00:25:51.460 Anybody disagree?

00:25:54.640 Now add to that,

00:25:56.420 how many people died at home of a heart attack

00:26:00.380 who also had coronavirus,

00:26:03.040 but it didn't make any difference because they died of a heart attack?

00:26:06.340 And nobody checks for coronavirus.

00:26:09.100 You know, the EMTs come to your house,

00:26:11.640 they see you had a heart attack,

00:26:13.000 you've never been diagnosed for coronavirus.

00:26:15.900 How do they code it?

00:26:17.520 Well, I'm sure they code it as a heart attack

00:26:19.240 because that's what it was.

00:26:20.240 So you have a tremendous problem in coding these things,

00:26:24.260 but it could work either way.

00:26:26.360 It could be a little push and pull,

00:26:29.100 not necessarily equal,

00:26:30.680 but I'm just saying that there might be inaccuracies in both directions.

00:26:33.380 And in my opinion,

00:26:34.920 Dr. Birx is on completely sound statistical ground

00:26:40.020 because the odds that you've had cancer for six months,

00:26:43.340 but this is the week you died,

00:26:45.740 could be because of the cancer.

00:26:49.000 Could be.

00:26:49.660 But if you're also struggling for oxygen and your lungs are collapsing exactly like a coronavirus patient,

00:26:58.680 and you've got what the ER doctors call that distinguishing your red eyes,

00:27:03.680 apparently your eyes get red around the edges.

00:27:05.760 And it could be a coincidence that you died of something else,

00:27:10.660 but I think statistically I'm going to say that there is no evidence to support the conservative point of view

00:27:17.320 that there is obviously over-counting.

00:27:20.780 There could be over-counting,

00:27:22.540 but the evidence that's used to suggest that there is is completely invalid.

00:27:29.280 Somebody says,

00:27:30.220 Scott, I disagree.

00:27:32.400 Oh, you're so close to getting blocked.

00:27:35.460 If you had said,

00:27:37.000 Scott, you're wrong,

00:27:39.000 I would have blocked you.

00:27:41.360 Because, you know,

00:27:42.380 I always tell you that you can tell me why I'm wrong,

00:27:45.420 because even though you don't have that much room in the text,

00:27:48.500 you could suggest the topic of which I'm wrong.

00:27:52.080 So you might have said,

00:27:53.460 for example,

00:27:54.840 I think you're forgetting this factor.

00:27:57.900 I mean, you don't have to go into details.

00:27:59.380 You could say,

00:28:00.220 have you considered this?

00:28:02.500 It doesn't take many characters,

00:28:04.560 but if you're just telling me I'm wrong,

00:28:07.400 you get blocked.

00:28:09.140 Whoever said,

00:28:10.300 Scott, I disagree,

00:28:12.260 you're right on the edge of getting blocked,

00:28:14.420 but I'm going to let you go with a warning,

00:28:16.220 okay?

00:28:19.200 Who benefits from extended lockdown?

00:28:22.080 Crazy talk.

00:28:23.080 That's crazy talk.

00:28:24.880 All right?

00:28:25.300 Everybody who believes that the lockdown

00:28:27.640 is some kind of a clever scheme

00:28:30.940 by some kind of political or other operative,

00:28:34.420 in my opinion,

00:28:36.460 it's crazy talk.

00:28:38.780 You should just stop doing it.

00:28:41.000 All right?

00:28:41.220 Now,

00:28:41.920 that's not to say

00:28:42.800 that there aren't people

00:28:44.320 who are thinking,

00:28:45.260 well,

00:28:45.880 if we had to have a crisis,

00:28:48.440 might as well get something out of it.

00:28:50.200 I'm sure there are those people.

00:28:52.500 But in general,

00:28:53.680 I think nobody's doing this for advantage.

00:28:56.640 I think people are,

00:28:57.680 you know,

00:28:58.660 biased the way they're biased.

00:29:00.920 CNN will always criticize the president

00:29:02.880 no matter what.

00:29:04.180 But you sort of discount that in your mind.

00:29:05.720 Speaking of the press and the president,

00:29:07.840 there are a couple of funny things.

00:29:10.420 If you watch the press conference,

00:29:12.580 you saw President Trump go full Simon Cowell.

00:29:16.180 Now,

00:29:16.640 you could argue that Simon Cowell

00:29:18.000 is really just Trump

00:29:19.540 because they both like to insult their critics.

00:29:22.300 But the thing about Simon Cowell

00:29:24.540 is that he would be cruel to people

00:29:27.540 who were just,

00:29:28.680 you know,

00:29:29.220 were just trying to do their job,

00:29:31.020 you know,

00:29:31.160 just trying to sing.

00:29:32.960 So he had,

00:29:34.000 so Simon Cowell had that,

00:29:35.140 like,

00:29:35.360 special kind of cruelness.

00:29:37.280 There wasn't anybody

00:29:38.000 who did anything to Simon Cowell.

00:29:40.280 President Trump generally

00:29:41.760 has the kind of cruelness

00:29:44.180 where he's just getting back

00:29:45.360 at people who criticized him first.

00:29:47.700 So Simon Cowell is worse

00:29:49.320 in the sense that he'll criticize somebody

00:29:51.780 that didn't do anything to him first.

00:29:55.940 So,

00:29:56.440 with that in mind,

00:29:59.340 there's a reporter for,

00:30:00.440 I don't know who it was.

00:30:01.380 I didn't recognize him.

00:30:03.980 So,

00:30:04.660 the reporter starts to ask the question

00:30:06.580 of President Trump

00:30:07.440 and he starts,

00:30:08.120 he goes,

00:30:08.460 quote,

00:30:09.100 checking on oil again today.

00:30:11.380 And then the president cuts him off

00:30:13.120 at mid-sentence.

00:30:13.940 He goes,

00:30:14.580 where is it today?

00:30:15.440 Give me the price.

00:30:17.000 And the reporter says,

00:30:18.460 I'm not sure,

00:30:19.400 to be honest.

00:30:20.580 And then Trump says,

00:30:21.800 how can he ask a question

00:30:22.960 when you don't know the price?

00:30:24.580 And the reporter says,

00:30:25.940 I'll look it up.

00:30:27.100 And Trump cuts him off

00:30:28.320 and he goes,

00:30:29.240 just let me go to somebody else.

00:30:32.280 It was,

00:30:33.140 it was the coldest thing

00:30:35.140 I've ever seen a president do.

00:30:37.740 What's the price of oil?

00:30:38.800 You don't know?

00:30:39.340 Well,

00:30:39.460 I'll go to somebody

00:30:39.980 who knows how to ask a question.

00:30:41.740 And oh my God,

00:30:43.440 I was watching that

00:30:44.340 and I just thought to myself,

00:30:46.240 oh my God.

00:30:47.520 Because I was putting myself

00:30:48.600 in the shoes of this reporter.

00:30:51.680 And again,

00:30:52.220 I don't know what

00:30:52.740 Elton Letty was from.

00:30:53.740 Maybe somebody here can tell me.

00:30:56.100 But,

00:30:56.580 since they have to take turns

00:30:58.420 even to getting into the press room.

00:31:01.060 So first of all,

00:31:01.820 it's the hardest thing in the world

00:31:02.880 to get into the room.

00:31:04.640 In a normal time,

00:31:07.060 in a normal time,

00:31:08.060 it'd be hard to be

00:31:09.020 important enough

00:31:10.180 to be in that room

00:31:10.860 with the president

00:31:11.440 at the press conference.

00:31:12.620 But because of social distancing,

00:31:14.540 they're only letting them sit,

00:31:15.760 you know,

00:31:15.980 every third chair

00:31:17.100 or whatever it is.

00:31:18.500 So to get into the room

00:31:19.720 under these conditions

00:31:20.960 is very rare.

00:31:22.680 And I didn't recognize him.

00:31:24.240 So I don't know

00:31:24.760 if he's ever been

00:31:25.520 in the room before.

00:31:27.040 It might have been

00:31:27.860 the first time

00:31:28.780 he's ever asked the question

00:31:30.300 to the president

00:31:31.700 on live TV.

00:31:33.760 I don't know that.

00:31:35.180 But I've never seen him before

00:31:36.360 and I'm thinking it might be.

00:31:38.160 Imagine what his day was like,

00:31:40.080 the reporter.

00:31:41.540 Imagine what he found out.

00:31:42.900 Okay.

00:31:43.660 This is a very rare honor.

00:31:45.740 But you're going to be in the room.

00:31:47.500 It's going to be national TV

00:31:48.840 and it's not a regular press conference.

00:31:51.000 The whole country,

00:31:52.280 in fact,

00:31:52.620 the whole world

00:31:53.240 is watching these.

00:31:54.480 These are really highly rated.

00:31:56.700 Only a few of you

00:31:57.840 are chosen

00:31:58.840 out of all the reporters

00:31:59.980 in the world.

00:32:01.160 You're one of the,

00:32:02.060 I don't know,

00:32:02.520 eight,

00:32:03.700 ten,

00:32:04.020 how many were in the room.

00:32:05.620 And you get to ask a question

00:32:07.080 on national TV.

00:32:08.640 Make it good.

00:32:09.960 Make it good.

00:32:10.920 This is your moment to shine.

00:32:14.140 Checking on the oil gap.

00:32:15.760 Where is it?

00:32:16.440 Give me the price.

00:32:17.060 I'm not sure to be honest.

00:32:18.580 How can he ask a question?

00:32:19.700 Would you know the price?

00:32:20.360 I'll look it up.

00:32:21.420 Let me just go to someone else.

00:32:23.800 Oh my God.

00:32:25.400 Oh my God.

00:32:26.320 Now I've said before

00:32:29.320 that I could watch this

00:32:31.740 all day long

00:32:32.440 and it's true

00:32:33.080 because I think

00:32:34.940 the president knew

00:32:35.920 what outlet

00:32:36.560 this person was from

00:32:37.620 and he probably knew

00:32:38.460 in advance

00:32:38.900 it wasn't going to be

00:32:39.580 a real question.

00:32:41.200 Right?

00:32:41.600 It probably wasn't

00:32:42.440 going to be a real question.

00:32:43.500 It was just going to be

00:32:44.100 another gotcha question.

00:32:45.400 I'm guessing

00:32:46.060 the president

00:32:46.720 sniffed it out

00:32:48.200 because of who he worked for,

00:32:50.300 the reporter.

00:32:51.500 So that was pretty funny.

00:32:52.460 The other repressed failure

00:32:55.760 is there's reporting

00:32:57.860 that President Trump

00:32:59.020 could gain financially

00:33:00.640 by the hydroxychloroquine drug

00:33:04.000 and apparently it's true.

00:33:06.700 It's true.

00:33:07.540 Apparently the president

00:33:08.480 could gain financially

00:33:09.900 if people use this drug

00:33:12.240 that he's promoting

00:33:13.040 that has not passed

00:33:14.820 all the scientific clinical tests.

00:33:18.920 Sounds pretty bad, doesn't it?

00:33:20.760 President of the United States

00:33:22.020 promoting an unproven drug

00:33:24.300 that he has a financial interest in.

00:33:26.220 Wow!

00:33:27.380 Wow!

00:33:28.180 The press nailed him.

00:33:29.980 Got him.

00:33:31.080 They got him this time.

00:33:32.860 Let's see.

00:33:33.360 How many millions

00:33:34.420 does he stand to make on this?

00:33:36.960 Well, let's see.

00:33:37.700 It's in a blind trust

00:33:39.060 and it's a managed portfolio

00:33:42.920 so he doesn't directly own the stock.

00:33:45.900 It's in a managed basket of stocks

00:33:48.340 by some other company

00:33:50.040 that does investing for him

00:33:51.700 and how much, what percentage?

00:33:55.360 Well, if you do the math,

00:33:57.060 it looks like the president,

00:33:58.740 if everything went well

00:33:59.980 and said if he, you know,

00:34:01.940 their stock went up,

00:34:03.560 I think the president could stand to,

00:34:05.880 and this is just an estimate,

00:34:07.780 I mean, I could be off a little bit,

00:34:09.760 but I think the president stands

00:34:12.140 to make hundreds of dollars.

00:34:16.860 Hundreds.

00:34:17.340 Yeah, hundreds of dollars.

00:34:21.960 No, not hundreds of millions of dollars.

00:34:25.160 Based on the amount of stock he owns,

00:34:27.660 indirectly through a fund

00:34:29.100 that owns lots of stocks,

00:34:30.340 including this one,

00:34:31.740 according to Mike Cernovich,

00:34:33.120 who bothered to do the math

00:34:34.560 and basically tweet-shamed

00:34:38.100 the rest of the media

00:34:40.540 for not even bothering

00:34:41.580 to do the math.

00:34:43.260 Yeah.

00:34:43.920 Apparently the gain could be

00:34:45.340 all of maybe a few hundred dollars

00:34:47.400 if everything went right.

00:34:49.720 You know,

00:34:49.960 best case scenario,

00:34:52.020 President Trump

00:34:52.800 could make hundreds of dollars

00:34:54.640 off of this.

00:34:55.940 That was world news.

00:34:58.340 World news.

00:34:59.380 They could make hundreds of dollars

00:35:01.020 if everything went right.

00:35:03.260 So your press

00:35:04.460 has not been

00:35:05.360 covering themselves

00:35:06.660 with glory.

00:35:09.520 Let's talk about Pope Francis.

00:35:12.340 You know,

00:35:13.420 it's good that we have

00:35:14.960 these religious

00:35:16.660 and moral leaders

00:35:17.560 because when you have

00:35:19.560 a big crisis and emergency,

00:35:21.040 they can be very helpful.

00:35:23.480 You know,

00:35:23.800 in normal times,

00:35:24.600 they're helpful,

00:35:25.160 but you really need

00:35:26.480 a moral and spiritual leader

00:35:28.280 like the Pope

00:35:28.960 to really get on board

00:35:30.560 and be useful

00:35:32.180 during this time

00:35:33.100 of emergency.

00:35:33.860 So here's what he said.

00:35:35.660 Pope Francis has said

00:35:36.760 that the coronavirus pandemic

00:35:38.300 is one of,

00:35:39.600 quote,

00:35:40.300 nature's responses

00:35:41.520 to humans ignoring

00:35:43.220 the current

00:35:43.820 ecological crisis.

00:35:48.640 Okay,

00:35:49.300 I take back

00:35:49.860 everything I said.

00:35:51.120 It turns out

00:35:51.680 that our moral

00:35:52.640 and religious leaders

00:35:53.580 are no use whatsoever

00:35:54.960 in an emergency.

00:35:57.340 Maybe making it worse,

00:35:59.100 possibly.

00:36:00.560 but nice try,

00:36:02.580 Pope Francis.

00:36:04.080 Thanks for playing.

00:36:05.260 That didn't work out.

00:36:08.900 Let's see what else

00:36:09.880 is going on.

00:36:13.760 I'm going to check

00:36:14.480 that number of deaths

00:36:15.500 to see if it really got,

00:36:17.040 really got lowered.

00:36:19.940 Now,

00:36:20.240 I tweeted

00:36:20.660 provocatively.

00:36:22.820 I tweeted provocatively.

00:36:27.140 This,

00:36:28.080 and I have to read you

00:36:29.140 my tweet

00:36:29.660 in the exact wording

00:36:30.760 because if you don't

00:36:31.380 do the exact wording,

00:36:32.300 it doesn't work.

00:36:34.580 I said,

00:36:35.280 I would never compare

00:36:36.020 President Trump

00:36:36.760 to Jesus,

00:36:37.840 but it is worth noting

00:36:39.780 that they are

00:36:40.600 somewhat comparable

00:36:41.480 in terms of

00:36:42.240 curing illnesses.

00:36:43.600 I mean,

00:36:44.540 you know,

00:36:44.820 I'm talking about

00:36:45.360 the Democratic

00:36:46.020 representative

00:36:46.700 who credits

00:36:48.420 President Trump

00:36:49.280 with saving her life

00:36:50.680 by recommending

00:36:51.560 the hydroxychloroquine.

00:36:55.080 And then I go on

00:36:55.880 and said,

00:36:56.760 and to be fair,

00:36:58.120 I don't think

00:36:58.680 Jesus could have

00:36:59.460 come back

00:36:59.920 after the

00:37:00.400 Access Hollywood tape.

00:37:02.440 If you think about it,

00:37:03.780 that was pretty miraculous.

00:37:05.380 But overall,

00:37:06.480 Jesus is way,

00:37:07.400 way better than Trump.

00:37:08.260 So I want to be very clear.

00:37:09.320 I'm not comparing

00:37:10.060 Trump to Jesus.

00:37:12.260 It's just sort of

00:37:13.420 objectively true

00:37:14.400 that Trump

00:37:15.120 is going to have

00:37:15.820 some cures.

00:37:17.260 Jesus had some cures,

00:37:18.640 but we're not

00:37:19.080 keeping score.

00:37:20.800 We're not keeping score.

00:37:22.700 I'm not saying

00:37:23.440 he's better than Jesus.

00:37:25.340 Come on,

00:37:25.760 don't even think that.

00:37:27.060 I'm just saying

00:37:27.660 that they both

00:37:28.160 have some cures.

00:37:31.080 And they're coming back

00:37:32.180 from the Access Hollywood tape.

00:37:34.320 I don't think anybody

00:37:35.200 expected that comeback,

00:37:36.520 so,

00:37:36.960 just pointing it out.

00:37:39.240 But overall,

00:37:41.160 overall,

00:37:42.660 just so we're

00:37:44.260 on the same page here,

00:37:46.060 overall,

00:37:47.640 Jesus is way,

00:37:49.020 way better than Trump.

00:37:50.720 We all agree on that,

00:37:51.920 right?

00:37:53.280 Okay.

00:37:54.380 Glad we're on the same page.

00:37:59.440 So the New York City

00:38:01.380 Health Department,

00:38:03.160 they've been asked

00:38:04.860 whether it was safe

00:38:05.600 to have sex 0.89

00:38:06.440 during the coronavirus thing. 0.94

00:38:08.640 And so they issued

00:38:09.860 some guidelines.

00:38:11.640 So this is the

00:38:12.280 New York City

00:38:12.700 Health Department.

00:38:14.240 And they said

00:38:16.720 that you should,

00:38:17.680 they recommend

00:38:18.220 that you only get

00:38:19.240 intimate with someone

00:38:20.340 in your household,

00:38:22.220 along with,

00:38:22.960 the, oh,

00:38:24.740 well,

00:38:24.960 I can't say this word

00:38:25.920 because your kids

00:38:26.460 are home.

00:38:27.480 But this is coming

00:38:28.460 from an official

00:38:30.020 government source,

00:38:31.180 the New York City

00:38:31.660 Health Department.

00:38:32.860 So let's put it this way.

00:38:34.180 The other thing

00:38:35.080 that they recommend,

00:38:37.220 the last part of the word

00:38:38.640 is Bashan.

00:38:39.440 the first part of the word

00:38:41.940 is Bashan.

00:38:44.200 So that's what they recommend.

00:38:46.120 Either only get intimate

00:38:47.280 with someone who's

00:38:48.000 already in your household,

00:38:49.660 or you could do

00:38:51.300 the Bashan thing.

00:38:52.780 First part,

00:38:53.700 Master.

00:38:55.160 And I thought to myself,

00:38:58.340 well,

00:38:59.040 I'm kind of limited

00:39:00.680 to people in my household.

00:39:02.820 My fiancé is

00:39:03.880 in a different house.

00:39:06.940 Sort of snickers and boo,

00:39:09.160 my dog and my cat.

00:39:11.360 So I held a little

00:39:12.480 house meeting.

00:39:14.200 And I talked to my dog

00:39:16.180 and my cat,

00:39:16.720 and I said,

00:39:17.440 this isn't me talking.

00:39:20.260 This is an official

00:39:21.400 government source.

00:39:22.940 And I said,

00:39:23.880 they're recommending

00:39:25.100 that you can only

00:39:26.880 get intimate with somebody

00:39:28.000 who's already in your house.

00:39:30.300 So I was sort of feeling

00:39:31.940 them out on this,

00:39:32.780 and I got a no

00:39:33.640 from both of them,

00:39:34.740 it turns out.

00:39:35.440 They were both like,

00:39:36.620 no,

00:39:37.960 forget about it.

00:39:39.200 And then they both

00:39:40.200 recommended,

00:39:42.180 and this is weird,

00:39:43.220 I didn't see it coming,

00:39:44.000 but the dog,

00:39:44.680 the dog recommended

00:39:46.100 that I do that

00:39:48.440 Bashan thing,

00:39:49.960 first word,

00:39:50.840 Master.

00:39:52.120 And when the dog

00:39:53.640 said that to me,

00:39:55.360 I thought,

00:39:57.280 are you kidding?

00:39:59.020 Are you kidding?

00:40:00.340 Are you telling me

00:40:01.220 that I've just spent

00:40:02.200 the last month

00:40:03.640 completely alone

00:40:05.800 in this big house of mine,

00:40:08.060 and I could have been

00:40:09.220 doing that

00:40:09.800 with all my free time,

00:40:12.060 my Wi-Fi,

00:40:12.940 and my access

00:40:13.460 to the internet?

00:40:14.320 Are you telling me

00:40:15.060 I could have been doing

00:40:15.700 that the whole time?

00:40:18.980 I was waiting

00:40:19.780 for some kind

00:40:20.380 of a guideline,

00:40:21.900 and man,

00:40:23.240 was I getting frustrated.

00:40:24.260 But thank you

00:40:27.400 to the New York City

00:40:28.160 Health Department

00:40:28.920 and to my dog,

00:40:31.020 Snickers,

00:40:31.720 for giving me

00:40:32.720 the big okay there.

00:40:34.460 I'm just saying

00:40:35.200 I feel a lot better today.

00:40:36.760 I'm just feeling

00:40:37.240 a lot better today.

00:40:39.020 All right.

00:40:39.580 I looked at my odds

00:40:40.860 according to one list.

00:40:42.920 So my odds of dying

00:40:43.880 from the coronavirus

00:40:44.580 because I live

00:40:46.340 in California,

00:40:47.720 and apparently California

00:40:48.920 is really nailing it

00:40:50.480 on this coronavirus stuff.

00:40:52.340 I'm really nailing it.

00:40:54.660 So my odds of dying

00:40:55.860 as a Californian

00:40:57.700 are one in 100,000.

00:41:01.140 One in 100,000.

00:41:04.060 Now, of course,

00:41:04.820 I'm in the high-risk group,

00:41:05.840 so mine is actually higher.

00:41:07.900 But it's kind of good

00:41:08.600 to know that

00:41:09.180 for the average Californian,

00:41:10.620 it's one in 100,000.

00:41:12.220 Now, if somebody says

00:41:13.500 your odds of dying

00:41:14.800 or somebody in your family,

00:41:17.700 the odds are one in 100,000

00:41:19.180 if you go back to work,

00:41:20.860 you'd go back to work,

00:41:21.960 wouldn't you?

00:41:23.240 I think you would, right?

00:41:24.820 One in 100,000,

00:41:25.980 you'd say,

00:41:26.420 yeah, that's good enough.

00:41:27.520 If it's one in 100,

00:41:29.600 you might say,

00:41:30.500 I'm not going to kill

00:41:31.940 one in 100 people 0.70

00:41:33.860 by going back to work

00:41:35.100 because that's going to be

00:41:36.500 somebody I know, right?

00:41:39.000 You know,

00:41:39.360 if one in 100 people

00:41:40.420 died of coronavirus,

00:41:42.400 that would include

00:41:43.240 people you know.

00:41:44.760 But one in 100,000,

00:41:45.960 maybe not.

00:41:47.520 All right.

00:41:47.820 Now,

00:41:48.620 I've decided that

00:41:50.880 the other thing

00:41:51.620 is that males

00:41:53.100 have a way higher

00:41:55.040 chance of dying

00:41:56.120 from coronavirus

00:41:56.800 than females. 0.71

00:41:59.000 And they don't know

00:42:00.000 exactly what's,

00:42:01.580 what the difference is,

00:42:02.740 you know,

00:42:03.020 something genetic.

00:42:04.280 But men are dying

00:42:05.240 at a much higher rate

00:42:06.280 than women. 0.99

00:42:07.060 And that wasn't a risk

00:42:08.560 I was willing to take.

00:42:10.460 So from now

00:42:11.660 until the coronavirus

00:42:12.740 crisis has passed,

00:42:15.820 I'm going to identify

00:42:17.140 as female.

00:42:18.520 It's not that I feel

00:42:19.760 that way on the inside,

00:42:21.220 but I'm just trying

00:42:21.960 to manage my

00:42:22.680 coronavirus risk

00:42:23.840 because I understand

00:42:24.780 the coronavirus

00:42:25.480 is much more aggressive

00:42:27.460 against men.

00:42:29.140 So just for a few months,

00:42:31.080 I'm going to identify female. 0.91

00:42:32.800 It's just,

00:42:33.360 it's only for statistical reasons,

00:42:35.780 only for health reasons,

00:42:37.000 and then,

00:42:38.000 you know,

00:42:38.340 depending how I like it.

00:42:39.880 Oh, if I like it,

00:42:40.560 I might keep it.

00:42:41.480 But, you know,

00:42:42.240 probably at the end

00:42:42.820 of the summer,

00:42:43.260 I might go back.

00:42:46.180 All right.

00:42:47.600 There is still this weird, 0.97

00:42:49.340 fake, ridiculous debate 0.96

00:42:51.200 in the news

00:42:52.480 about whether

00:42:54.160 President Trump

00:42:55.040 was ignoring

00:42:55.820 the advice

00:42:57.180 of his aides

00:42:58.220 and not acting

00:42:59.700 more aggressively

00:43:00.360 on the coronavirus

00:43:01.340 more early.

00:43:02.720 And the evidence

00:43:03.300 they give is this

00:43:04.260 January 29th memo

00:43:06.300 from Navarro,

00:43:07.980 who's getting

00:43:09.040 a lot of credit,

00:43:09.760 by the way.

00:43:10.100 He's a PhD

00:43:10.800 social scientist.

00:43:11.820 He knows how to read studies.

00:43:13.840 So even though

00:43:14.220 he's not a

00:43:14.860 health care guy,

00:43:18.700 he, you know,

00:43:19.220 he can read the news,

00:43:20.140 he can read the statistics,

00:43:21.200 he can look at the studies.

00:43:22.500 So he wrote a memo

00:43:23.380 saying, uh-oh,

00:43:24.460 we've got big trouble

00:43:25.580 with this coronavirus,

00:43:26.820 we should act aggressively.

00:43:29.660 Two days later,

00:43:31.900 President Trump

00:43:32.700 closed the airport.

00:43:34.580 And the news

00:43:35.540 is trying to find

00:43:36.400 some distance

00:43:37.260 between January 29th

00:43:40.660 and aid writing

00:43:42.700 a, you know,

00:43:43.640 persuasive memo

00:43:44.980 that we should close

00:43:45.940 the airport.

00:43:46.840 And two days later,

00:43:48.180 the aide just said

00:43:50.900 it was a big problem.

00:43:51.960 But two days later,

00:43:53.960 the president acting

00:43:54.900 aggressively,

00:43:55.800 exactly as the aide

00:43:57.080 would have wanted.

00:43:58.240 And the president says

00:43:59.380 he doesn't remember

00:44:00.000 the memo.

00:44:01.040 But I imagine

00:44:01.820 lots of people

00:44:02.580 were reading the memo

00:44:03.920 and, you know,

00:44:04.900 maybe there was

00:44:05.360 lots of conversation

00:44:06.160 around it.

00:44:06.820 So I think the memo

00:44:07.540 probably had some impact,

00:44:09.380 if only on other aides

00:44:11.020 who took the message

00:44:12.080 to him.

00:44:12.860 But I believe him

00:44:13.640 when he says

00:44:14.100 he doesn't remember

00:44:15.300 seeing the memo.

00:44:15.900 Now, is there really

00:44:17.460 any distance there?

00:44:19.400 Are those two days

00:44:20.940 between January 29th

00:44:23.240 and January 31st,

00:44:24.980 is that where

00:44:25.780 you're going to find out

00:44:26.700 that the president

00:44:27.840 wasn't listening

00:44:28.640 to his aides

00:44:29.400 for two days?

00:44:31.840 One of the biggest decisions

00:44:33.140 in all of,

00:44:34.900 you know,

00:44:35.780 in all of the global,

00:44:37.200 you know,

00:44:38.320 problems in the world,

00:44:39.280 one of the biggest questions.

00:44:40.840 And within two days,

00:44:42.480 he took the recommendation

00:44:43.680 from a top aide

00:44:44.940 who is being credited

00:44:45.820 with getting it right?

00:44:48.080 Two days.

00:44:49.800 Really?

00:44:50.920 Really?

00:44:51.660 That's where we're going to

00:44:52.840 find that

00:44:54.580 if the president

00:44:55.300 waited two days

00:44:56.600 to take the recommendation

00:44:58.420 that was right,

00:45:00.540 and that's a criticism?

00:45:02.400 Are you kidding me?

00:45:04.120 So,

00:45:05.180 here's something else

00:45:07.200 I'm going to tell you

00:45:07.920 that I probably shouldn't,

00:45:09.220 but I will.

00:45:12.180 Because I've been

00:45:13.180 talking more about politics,

00:45:14.600 I've gotten,

00:45:14.980 you know,

00:45:15.580 to meet a lot of people

00:45:16.460 and to see behind the curtain

00:45:19.280 on a number of big stories.

00:45:22.480 So,

00:45:22.780 it's quite common

00:45:23.860 that there will be

00:45:25.200 a headline story

00:45:26.140 and the news

00:45:27.460 will report it one way

00:45:28.520 and of course,

00:45:29.620 you know,

00:45:29.920 CNN reports it one way

00:45:31.120 and Fox reports it another.

00:45:32.880 But it's fairly common

00:45:34.000 at this point

00:45:34.740 that I already knew

00:45:36.340 the story

00:45:36.780 before it was in the news

00:45:38.060 and I know

00:45:38.840 the real story

00:45:39.600 behind it

00:45:40.240 and it's not the story

00:45:41.640 that anybody's reporting.

00:45:42.920 It happens fairly often

00:45:45.240 and by the way,

00:45:46.520 if you know anybody

00:45:47.400 who works,

00:45:48.340 let's say,

00:45:48.640 in a government

00:45:49.140 or even for a big company

00:45:50.740 and you say,

00:45:52.160 hey,

00:45:52.460 tell me the real story

00:45:53.540 about this big decision,

00:45:55.700 something that everybody

00:45:56.600 knows about,

00:45:57.660 you almost always find out

00:45:59.560 that the real story

00:46:01.300 is just never the one

00:46:03.220 that's reported in the news

00:46:04.480 because there's always

00:46:05.180 some context

00:46:06.120 that's deeply important

00:46:07.860 that just doesn't get reported.

00:46:09.800 So the news you're getting

00:46:11.460 from the left

00:46:12.120 and the right

00:46:13.060 are typically

00:46:14.560 so out of context

00:46:16.080 and wrong

00:46:16.740 that neither of them

00:46:18.700 are really telling you

00:46:19.720 what's happening,

00:46:20.340 especially if it's reports

00:46:21.760 about something

00:46:22.340 that happened

00:46:22.760 behind closed doors.

00:46:24.540 Now,

00:46:24.840 if it's a,

00:46:25.400 you know,

00:46:25.980 a hurricane or something,

00:46:27.120 everybody gets that right.

00:46:29.060 But if it's a report

00:46:29.920 about what somebody said

00:46:31.240 or did

00:46:31.720 or felt

00:46:32.380 or thought

00:46:33.620 behind closed doors

00:46:35.440 when not many people

00:46:36.680 are watching

00:46:37.180 and there's various

00:46:38.200 anonymous reports

00:46:39.620 and stuff like that,

00:46:40.880 I wouldn't trust

00:46:41.880 either the reporting

00:46:43.100 on the left

00:46:43.640 or the right.

00:46:44.100 So my experience

00:46:44.920 is that every time,

00:46:47.280 every time,

00:46:48.060 you can get the real story

00:46:50.380 from the real people.

00:46:51.740 It's not the one

00:46:52.780 that was reported

00:46:53.440 in the news

00:46:54.200 every time.

00:46:55.960 Every time.

00:46:57.080 It's not the one

00:46:58.020 that was reported

00:46:58.700 by the news

00:46:59.400 left or right.

00:47:01.200 So,

00:47:02.480 this is by way

00:47:03.740 of saying

00:47:04.120 that the story

00:47:04.840 about how the president

00:47:06.320 made his decision,

00:47:08.440 there's way more

00:47:09.700 to the story

00:47:10.340 than you know.

00:47:12.680 And it goes way beyond

00:47:14.480 Peter Navarro.

00:47:16.620 So,

00:47:17.300 I was aware

00:47:18.300 at the time

00:47:19.160 of

00:47:20.560 a disagreement

00:47:22.320 within the staff

00:47:23.260 about how seriously

00:47:24.960 to treat it

00:47:25.900 and how to advise

00:47:26.900 the president

00:47:27.460 and how he should

00:47:28.960 and how he should

00:47:30.340 deal with it.

00:47:31.180 So,

00:47:31.580 I can tell you

00:47:32.260 just from the little bit

00:47:33.340 I know

00:47:33.720 from the peripheral

00:47:34.620 that none of it's

00:47:37.560 being reported accurately.

00:47:39.460 So,

00:47:39.820 I wish I could tell you

00:47:40.880 a little bit more

00:47:41.640 of what I know

00:47:42.340 but it doesn't work

00:47:43.880 that way

00:47:44.340 because then you don't

00:47:45.620 get to see behind

00:47:46.300 the curtain anymore.

00:47:47.360 You know,

00:47:47.580 if you report

00:47:48.660 everything you see

00:47:49.360 you don't get to see

00:47:50.160 behind the curtain anymore.

00:47:51.540 And I like seeing

00:47:52.140 behind the curtain.

00:47:53.480 So,

00:47:53.740 I'll just tell you

00:47:54.300 that the news

00:47:55.420 is

00:47:55.780 it's just so misleading

00:47:58.580 that you wouldn't

00:47:59.300 really know

00:47:59.900 what was happening.

00:48:01.520 But it's more interesting

00:48:02.620 than you think.

00:48:03.300 That's all I'm going to say.

00:48:05.620 There's a funny story

00:48:07.080 in the news.

00:48:10.880 There's some mayor

00:48:11.620 it doesn't matter where

00:48:12.580 I don't know

00:48:13.360 Indiana or Illinois

00:48:14.380 or someplace

00:48:14.980 the mayor

00:48:15.960 ordered the police

00:48:17.100 to crack down

00:48:17.760 on social gatherings.

00:48:19.560 So,

00:48:20.080 the police went

00:48:20.640 to this bar

00:48:21.240 and they basically

00:48:22.880 told the people

00:48:23.680 in the bar

00:48:24.200 hey,

00:48:24.820 you can't be in this bar

00:48:25.680 no social gathering

00:48:27.220 go home.

00:48:27.720 and one of the people

00:48:29.320 that they found

00:48:29.980 at the bar

00:48:30.500 was the mayor's wife. 1.00

00:48:37.220 Poor guy.

00:48:39.680 So,

00:48:40.320 I think it's

00:48:40.760 the only way

00:48:41.180 somebody's saying

00:48:41.700 in the comments.

00:48:43.260 So,

00:48:44.280 this poor mayor

00:48:45.280 orders a crackdown

00:48:46.820 on social gatherings

00:48:47.860 the police

00:48:48.500 find his wife

00:48:49.360 at a bar

00:48:49.960 and reportedly

00:48:52.620 he told the police

00:48:53.560 to treat her

00:48:55.120 exactly the way

00:48:56.260 they're treating

00:48:56.900 everybody else

00:48:57.620 and I don't think

00:48:58.600 anybody got arrested.

00:48:59.980 Probably just got

00:49:00.580 sent home

00:49:01.000 with a warning.

00:49:03.760 So,

00:49:04.520 that's bad luck

00:49:05.360 and

00:49:06.720 I'll tell you

00:49:07.860 if your wife

00:49:09.120 set a bar

00:49:09.660 that's not the way

00:49:10.520 you want to find out

00:49:11.320 about it.

00:49:12.080 I'm just saying.

00:49:13.560 It's not the way

00:49:14.360 you want to find out

00:49:15.080 about it.

00:49:16.640 Alright,

00:49:17.080 those are all the things

00:49:18.560 I think I wanted

00:49:19.240 to talk about

00:49:19.820 today.

00:49:25.620 Yeah,

00:49:26.320 somebody says

00:49:26.880 I wonder if it was

00:49:27.700 with another man.

00:49:29.100 Well,

00:49:29.340 I'm sure it was

00:49:29.800 with a group

00:49:30.920 but

00:49:32.660 certainly

00:49:33.520 some questions

00:49:35.340 are

00:49:35.780 some questions

00:49:37.580 are raised.

00:49:38.980 So,

00:49:39.620 since yesterday

00:49:40.380 you all asked me

00:49:41.700 to look at

00:49:42.460 Dr. Shiva's

00:49:43.540 opinions

00:49:43.920 so I did look at

00:49:45.780 I looked at

00:49:46.420 his Twitter feed

00:49:47.060 looked at

00:49:47.700 some of his videos

00:49:48.580 some of his tweets

00:49:49.860 and stuff

00:49:50.300 and I can't figure out

00:49:51.620 one opinion

00:49:52.180 that you're interested in

00:49:53.760 because he has

00:49:54.980 a pretty wide

00:49:56.600 portfolio

00:49:57.420 of opinions

00:49:58.220 on

00:49:58.680 different elements

00:50:00.200 of different things

00:50:01.120 about the whole thing

00:50:01.980 and I didn't see

00:50:03.980 anything there

00:50:04.740 that I

00:50:05.180 could figure out

00:50:06.580 why you needed

00:50:07.300 my opinion on it.

00:50:08.860 So maybe if somebody

00:50:09.900 could be more specific

00:50:10.960 I would give you

00:50:12.140 an opinion.

00:50:12.900 So if you say

00:50:13.520 so I can't

00:50:14.800 respond to

00:50:15.780 what do you think

00:50:16.400 of Dr. Shiva's opinion

00:50:18.480 because there are

00:50:19.440 lots of them

00:50:20.080 and the ones

00:50:21.280 I looked at

00:50:21.820 looked reasonable

00:50:22.580 to me

00:50:22.960 I didn't see

00:50:23.380 anything that

00:50:23.860 jumped out

00:50:24.440 as being

00:50:25.540 out of bounds.

00:50:27.400 I think there was

00:50:27.940 the most controversial

00:50:30.160 thing I saw

00:50:31.060 was

00:50:31.340 he was talking

00:50:32.340 about vitamin A

00:50:33.420 and vitamin D

00:50:34.260 being helpful

00:50:35.920 in these situations

00:50:38.280 to which I say

00:50:39.440 I don't know

00:50:40.920 he's probably

00:50:42.320 got some science

00:50:43.100 to that

00:50:43.520 vitamin D

00:50:44.300 is obviously

00:50:45.220 scientifically

00:50:46.940 compatible

00:50:47.700 vitamin A

00:50:48.480 maybe he knows

00:50:49.120 more than I do

00:50:49.860 of course he knows

00:50:51.120 more than I do

00:50:51.740 on that topic.

00:50:53.540 So I don't really

00:50:54.340 have an opinion on it.

00:50:55.200 Is there something

00:50:55.680 else specifically

00:50:57.040 that you think

00:50:57.960 on Fauci?

00:51:02.300 If I understand

00:51:03.280 his opinion

00:51:03.840 on Fauci

00:51:04.560 it is that

00:51:06.140 Fauci has some

00:51:06.900 connections

00:51:07.380 to some

00:51:08.160 pharmaceutical companies

00:51:09.280 that may have

00:51:09.920 an interest

00:51:10.440 in their

00:51:11.480 pharmaceutical

00:51:12.100 solutions.

00:51:13.260 is that what

00:51:14.100 you're talking

00:51:14.460 about?

00:51:16.520 Because

00:51:17.080 why would I

00:51:22.040 have an opinion

00:51:22.520 on that?

00:51:23.460 It's either true

00:51:24.380 or false, right?

00:51:25.760 It's either true

00:51:26.680 that Dr. Fauci

00:51:27.900 has a financial

00:51:29.380 working relationship

00:51:30.680 with a pharmaceutical

00:51:32.060 company that also

00:51:33.340 has I think

00:51:34.820 maybe their

00:51:35.440 Resvera

00:51:36.300 whatever that

00:51:37.240 one is

00:51:37.580 but

00:51:39.040 that's just

00:51:41.220 a known fact

00:51:42.120 right?

00:51:43.260 why would I

00:51:43.980 have an opinion

00:51:44.460 on it?

00:51:45.660 Now somebody

00:51:46.380 who works

00:51:46.880 in the business

00:51:47.860 that he works

00:51:48.540 in

00:51:48.820 it should be

00:51:50.320 fairly

00:51:51.880 predictable

00:51:53.660 that he would

00:51:54.460 have connections

00:51:55.140 with major

00:51:55.880 pharmaceutical

00:51:56.420 companies.

00:51:57.800 So wouldn't

00:51:58.220 you expect

00:51:58.820 anybody at

00:51:59.640 his level

00:52:00.320 to give

00:52:02.220 speeches for?

00:52:03.900 You'd expect

00:52:04.540 that at some

00:52:05.360 point maybe

00:52:05.940 he got funded

00:52:06.620 for a trial

00:52:07.460 maybe they

00:52:09.160 supported him

00:52:09.920 in some way

00:52:10.460 when he was

00:52:10.860 fighting AIDS

00:52:11.560 so of course

00:52:12.600 in the same

00:52:13.400 reason that

00:52:14.060 you could

00:52:14.680 guarantee

00:52:15.100 that a

00:52:15.620 President Trump

00:52:16.400 probably owns

00:52:18.140 some investment

00:52:19.260 that has

00:52:19.740 something to do

00:52:20.500 with hydrochloroquine

00:52:22.520 and probably

00:52:23.300 I do too

00:52:23.860 by the way

00:52:24.300 I mean

00:52:25.360 I probably

00:52:26.120 have some

00:52:27.980 fund that

00:52:29.460 I don't know

00:52:29.840 about

00:52:30.100 that's got

00:52:30.600 some stock

00:52:31.860 in a company

00:52:32.340 that maybe

00:52:33.480 so I guess

00:52:35.900 I don't have

00:52:36.320 a comment

00:52:37.300 about that

00:52:37.960 it's something

00:52:39.380 you should

00:52:39.840 watch

00:52:40.360 and if you

00:52:42.060 think that

00:52:42.520 that's the

00:52:42.980 reason that

00:52:43.560 Fauci is

00:52:44.220 saying that

00:52:44.740 hydroxychloroquine

00:52:45.840 is you know

00:52:47.740 unproven

00:52:48.600 and maybe

00:52:49.740 we should

00:52:50.140 wait

00:52:50.540 well I would

00:52:51.680 say he should

00:52:52.260 say that

00:52:52.680 no matter

00:52:53.080 what

00:52:53.520 so you'd

00:52:55.260 have to

00:52:55.580 find

00:52:56.000 you'd have

00:52:56.600 to find

00:52:57.000 something

00:52:57.460 that Fauci

00:52:58.100 has said

00:52:58.700 or recommended

00:52:59.600 that he would

00:53:01.020 not say

00:53:01.640 or recommend

00:53:02.440 absent a

00:53:04.200 connection

00:53:04.600 to some

00:53:06.100 pharmaceutical

00:53:06.580 company

00:53:07.160 so here's

00:53:08.200 a question

00:53:08.640 would Dr.

00:53:09.800 Fauci

00:53:10.160 insist

00:53:11.540 that we

00:53:12.700 should treat

00:53:13.140 the hydroxychloroquine

00:53:14.380 as an

00:53:14.860 unproven thing

00:53:15.800 would he

00:53:16.980 insist

00:53:17.460 the way

00:53:17.800 he is

00:53:18.300 if he

00:53:19.520 did not

00:53:19.900 have some

00:53:20.340 connection

00:53:20.760 to a

00:53:21.340 pharmaceutical

00:53:21.720 company

00:53:22.320 that makes

00:53:22.840 a competing

00:53:23.960 drug

00:53:25.080 and the answer

00:53:26.080 is yeah

00:53:26.400 he would

00:53:26.740 every

00:53:27.880 every doctor

00:53:28.600 would

00:53:28.940 100%

00:53:29.920 of doctors

00:53:30.600 would say

00:53:31.880 exactly

00:53:32.440 what Fauci

00:53:32.960 said

00:53:33.320 hasn't

00:53:34.500 gone

00:53:34.680 through

00:53:34.900 the

00:53:35.080 required

00:53:35.480 testing

00:53:36.420 some

00:53:37.300 doctors

00:53:37.700 are using

00:53:38.160 it

00:53:38.420 the doctor

00:53:38.920 can choose

00:53:39.420 to use

00:53:39.840 it

00:53:40.040 there's

00:53:40.320 a reason

00:53:40.720 that they

00:53:41.040 think

00:53:41.240 it might

00:53:41.540 work

00:53:41.940 it's

00:53:42.620 well

00:53:42.840 tolerated

00:53:43.580 everything

00:53:44.600 Fauci

00:53:45.040 said

00:53:45.320 everything

00:53:45.960 100%

00:53:46.820 of what

00:53:47.120 Fauci

00:53:47.500 says

00:53:47.980 any

00:53:49.080 doctor

00:53:49.500 would have

00:53:49.840 said

00:53:50.020 in that

00:53:50.320 situation

00:53:50.880 no matter

00:53:52.980 what

00:53:53.240 connection

00:53:53.580 they had

00:53:53.940 to the

00:53:54.240 pharmaceuticals

00:53:55.160 so

00:53:55.700 but it

00:53:56.220 is true 0.89

00:53:56.660 that when

00:53:58.220 people have

00:53:58.640 big financial

00:53:59.280 interests

00:53:59.680 it can

00:54:00.160 bias

00:54:00.980 them

00:54:01.360 it's

00:54:02.140 just

00:54:02.360 that if

00:54:02.720 you're

00:54:02.900 looking

00:54:03.100 for it

00:54:03.640 in whether

00:54:04.240 he should

00:54:05.580 be more

00:54:05.980 pro-hydroxychloroquine

00:54:07.460 I don't think

00:54:08.420 you could ask

00:54:08.920 any doctor

00:54:09.460 to be that

00:54:10.000 way

00:54:10.200 I don't

00:54:11.680 think that's

00:54:12.120 something you

00:54:12.440 would ask

00:54:12.760 any doctor

00:54:13.340 Fauci is

00:54:16.800 not promoting

00:54:17.540 vitamins

00:54:18.160 well

00:54:19.380 he's

00:54:20.460 promoted

00:54:20.920 vitamin D

00:54:21.660 can somebody

00:54:23.160 fact check

00:54:23.680 me on that

00:54:24.220 has

00:54:25.040 has Dr.

00:54:25.960 Fauci

00:54:26.320 never said

00:54:27.960 that it would

00:54:28.360 be good

00:54:28.720 to take a

00:54:29.460 walk and

00:54:29.840 get some

00:54:30.160 sun

00:54:30.460 get some

00:54:31.080 vitamin D

00:54:31.620 I don't know

00:54:32.620 if he said

00:54:33.040 that but I'll

00:54:33.560 bet he has

00:54:34.140 doctors

00:54:35.740 I don't know

00:54:36.760 if doctors

00:54:37.220 push vitamins

00:54:37.940 so much

00:54:38.600 because there's

00:54:39.660 a lot of

00:54:40.060 competing

00:54:40.480 information

00:54:40.980 on vitamins

00:54:41.440 all right

00:54:42.580 doctors never

00:54:46.440 say light

00:54:46.980 exercise

00:54:47.400 increases

00:54:48.040 immune

00:54:48.580 system

00:54:49.160 I've heard

00:54:50.520 them say

00:54:50.880 that

00:54:51.200 I guess

00:54:52.160 it depends

00:54:52.540 which doctor

00:54:53.100 you're talking

00:54:53.500 about

00:54:53.720 but I've

00:54:54.080 heard

00:54:54.720 medical

00:54:56.080 professionals

00:54:56.700 on TV

00:54:57.540 during this

00:54:58.480 crisis

00:55:00.380 I've heard

00:55:01.180 them say

00:55:01.520 that light

00:55:01.880 exercise

00:55:02.340 is good

00:55:02.800 for your

00:55:03.080 immune

00:55:03.380 response

00:55:04.340 all right

00:55:06.480 that's it

00:55:06.880 for now

00:55:07.180 I'll talk

00:55:08.100 to you

00:55:08.340 tonight

00:55:08.800 you know

00:55:09.200 the time

00:55:09.620 10 eastern

00:55:11.280 7 pacific

00:55:12.740 talk to you

00:55:13.460 then

Real Coffee with Scott Adams - April 08, 2020

Episode 900 Scott Adams： Why I Have Decided to Identify as Woman to Lower My #Coronavirus Risk

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