Transcript
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All these businessmen started picking up copies of Sun Tzu.
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Now, everyone has a copy of“The Art of War”, and no one ever reads it.
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It's kind of like Christians with the Bible...
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I'm joking, joking, I'm joking! Welcome to Come On! Don't Bullshit Me! Where we peel away the messaging of the talking heads to get to the crux of today's issues.
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There's an old expression that there is lies, damn lies, and statistics.
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People are lying with statistics.
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And the final statistics that people like to throw out has underlying hidden statistics that it derives itself from.
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The big thing that they're trying to say is that, oh, COVID is not a big deal, so we shouldn't really worry about it.
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And that's where a lot of hate is coming from.
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They come around saying that, oh, it only really kills 2% of people, and even still, it only affects people who are older, or sick, or have comorbidities...
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That is a new buzzword.
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No one knew what the word“morbidity” was, but now everyone seems to be an English expert.
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So they say, oh, yeah, you have comorbidities.
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And they say that if you are healthy and young, then you don't have anything to worry about, and that we should just open everything back up and not worry about anything.
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They say COVID is overblown, it's a hoax, because death rate is so low.
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And people like to pull out statistics and say,“Oh, look at the CDC data or WHO data!” And people are already mathematically illiterate as it is, but then when you arm them with a little bit of knowledge...
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or it's not even knowledge, it's information because they don't really apply it.
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Knowledge is the application of information.
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But you give them a little bit information, and then they know enough to be dangerous, so they quote...
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I don't want to say"bogus statistics”, because the statistics on the surface are correct, but the statistics is used in bad faith.
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Actually, I shouldn't even say that, because again, like I said, they are mathematically illiterate, so they think they are applying the statistics in a good faith way, but because they're mathematically literate, they leap to conclusions that are erroneous at best malicious at worst.
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Okay.
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So, first off, those statistics are only available, if the government in question is actually taking good statistics.
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Obviously, the big offenders are China, Russia, India, and Turkey.
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Maybe because they don't have the means to take those statistics, presumably like it was in the case of India; or they are willfully obfuscating the statistics, like it was, allegedly, in the case of Russia and China.
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And there are a lot of enterprising reporters who said, okay, I'm going to ignore the COVID death rates given by the sovereign nations, that are being reported, and instead I'm going to look at their equivalent of the bureau or office of vital statistics, or whatever it is, and basically look at the excess deaths.
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Because you can make a reasonable assumption that, if you look at all the excess deaths of 2020 versus other years, you can probably attribute those to the pandemic, because that's the only thing that really changed.
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And then the death rates were enormously higher.
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But, of course, since we are only following the News outlets, rightfully so, we can only really quote the statistics from the WHO, as that is what is being reported.
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And I am sure some couple of years down the road there is going to be Math Masters or PhD candidates who are going to be taking these statistics, and they will produce a whole bunch of interesting papers on this.
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On how governments gated the actual death toll on the pandemic.
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When everything is all said and done.
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Hopefully, this thing will die out and we are not going to live with this.
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The 2% statistics that people quote is an American statistic, so, it comes from the CDC.
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And you can say, okay, the United States is pretty good and is being open and transparent around statistics.
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But as the pandemic was unfolding, not to get political on this, it just happens to be political, a lot of the right-wing governors, or the right-wing state governments, were under-reporting, false reporting, you name it, whatever type thing they were doing, to obfuscate their own State's death results.
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And all the CDC can do is really to just compile the States' results to a Federal level.
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So, if the States’ results are obfuscated, then, obviously, whatever is reported at the end by the CDC is also going to be obfuscated.
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But that is just a minor thing, because, good faith argument, we understand the point of what people are trying to say.
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I don't want to be like, oh, it was not 2%, it was more like 3.6%.
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The point is what they're trying to say, I get it, I understand: the final death toll, which is what seems to be the main issue, in their eyes was relatively low, and it didn’t justify the confinement or social shutdown that was warranted in 2020.
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That's what they argue.
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[ Music]
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The classic thing that people like to quote is, oh, did you know that more people die to cows than they do to shark attacks?
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And everyone thinks that this is such a profound thing.
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Like, oh my God, cows are so much more dangerous than sharks! And it probably started off with a well-intentioned meaning, because there was that whole thing where"Jaws", the movie, put a fear into people about sharks.
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And it was a disproportionate fear, because prior to that movie sharks weren't really feared by humans.
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But after the movie, all of a sudden, everyone was scared of sharks.
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And then the shark attacks started becoming more known because it was reported more.
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Like, oh my God, it's another shark attack! And then now, of course, we can't really separate the two things and we have this, I do not want to say irrational, but we have this heightened fear of sharks.
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And then you had statistic, which, again, may have started well-meaning, I don't know where it came from.
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But people used it to say, oh, look, you really shouldn't worry about sharks so much because, look, more people die from cows, than they do from sharks.
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While on the surface, that's true, the point is that humans interact more with cows, than they do with sharks.
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If you have 7 billion people in the world, and we all live on...
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ok, 99.999% of us live on land, with the occasional scuba divers.
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So, essentially, almost all of us live exclusively on land.
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So, obviously we are going to be encountering land animals more than we are going to be encountering the marine animals.
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So, mow I'm just throwing this completely wrong statistic, let's say, sharks are 25% dangerous, whereas cows are 0.01% dangerous.
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Well, if you take 7 billion people and then multiply it by that point one percent, that raw number is going to be a lot larger than a hundred people...
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or, let's say, a thousand people at one time encountering sharks at 25% rate.
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So, that raw number of people dealing with the cows is going to be a lot larger than the raw number of people encountering sharks.
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So, obviously when you compare the raw numbers at the end, you are going to be like, oh yeah, look, cows are more dangerous than the sharks, when in reality, no.
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Because sharks are more dangerous than cows.
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It's just that we don't interact with sharks so much.
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And that's why that number is there.
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So that profound statement has two hidden statistics underneath, that it is derived from.
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One is the dangerousness of the animal in question, and two being the exposure rate of the humans to that specific species.
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And the similar thing is going on with COVID: the underlying statistic is right, but the statistics only talk about things in the past.
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They don't talk about things in the future and people will say, oh well, yeah, but you can use statistics to predict the future.
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Well, yes and no.
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It's kind of like the gambler's fallacy: if you bet on a Russian roulette..
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excuse me, not a Russian roulette, you bet on roulette at the roulette table, and the roulette hits red five times, you're like, oh, I'm going to put all my money on black because it's due! It's bound to be black because it hit red five times before.
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Because you think the statistics predict what will be next.
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But no, that's actually not true.
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The probability of hitting black, minus the double zeros, is, basically, 50%.
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So, you still have a 50% chance of hitting red versus black.
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Again, ignoring the zeros for a second.
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You can't just say, oh, well, because the roulette table hit red five times before, it is going to be black this next turn.
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And it's the same thing applies to sharks versus cows.
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We talked about the attribution error of exposure to sharks versus exposure to cows.
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But that only talks about the past.
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Now, if all of a sudden, let's just say, we get into a Kevin Costner“Waterworld” situation, and now everyone is living in the ocean, you can't be like, oh, well, the statistics say cows are more dangerous than the sharks, so should not worry about it.
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Well, no, actually you really should worry about it, because now all humans are living in the ocean, so our exposure now is way more towards sharks than it is to cattle.
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Because we stated that the underlying made up dangerousness rate of sharks was 25% as opposed to 0.01% for cows.
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So, the raw numbers now are going to be much higher for sharks, because not only is the death rate against sharks is higher, but the humanity's exposure to sharks is higher, because now everyone is living in the Kevin Costner“Waterworld”.
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Just like in the cattle versus sharks situation, you have hidden underlying statistics from which that COVID 2% comes from.
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That statistic comes from a whole bunch of different factors.
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First off, we have to remember, that that 2% statistic comes from the situation of 2020, which was, essentially, the year of the lockdown.
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It's like, you're rolling a 50-sided die, and your chances of rolling a one is 2%.
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If I gave you a 50-sided die and said, hey, you're going to walk away, easy-peasy-nothing-happens, if you roll between a two and a 50; but if you roll a one, then you are going to get shot in the face by a guy in a PlayStation mask.
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But that's still an isolated case, because you are rolling the die once, and that's it.
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There's nothing else.
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The game ends right there.
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It starts there and ends there.
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Boom, done! But when we are talking a pandemic, it is a different situation, because a bullet is not contagious.
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If you get shot, there is not a risk that someone else is going to get shot after the fact that you got shot.
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Whereas the virus, once it infects someone, then it can affect others, and on and on and on.
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And that's how pandemics happen, right?
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So when we are talking about virology, or epidemics, or, in this case, a pandemic, the thing is, you can't take the statistics in isolation because every person that gets infected, further increases your chance of getting infected.
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And what was the big thing that happened in 2020?
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Oh yeah.
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That's right, the entire world, essentially, went on a lockdown.
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Well, that naturally was going to reduce the death rate of the virus, because less people were interacting with each other.
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Again, it is kind of like the shark situation: the COVID virus itself is dangerous, just like the shark is, but because we were in a lockdown, because we've been socially distancing, because we've been wearing masks, because we've been taking these public safety precautions, our exposure rate dropped.
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So, therefore, naturally, the end statistic, was going to drop and it became that 2% death rate.
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And then there were another fact: in the beginning of the pandemic we didn't know what that virus was.
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It is called a novel coronavirus, because it was a new thing.
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So we didn't know how to deal with it.
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And naturally, as the hospitals started dealing with it, gained more experience with that virus, their triage methods improved and the way they took care of patients improved.
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For example, one of the things that they like to cite news is that we learned, that you shouldn't lay people on their back, but you should lay them down on their stomach instead, and that'll help the patients get more air in and, apparently, improve their survivability chance.
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And, obviously, it's a very good thing.
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But when you're talking about the statistics, it is, an air quote, a"bad" thing.
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I'm using air quotes again here, because now your presumed death rate is going to be lowered not because the virus, all of a sudden, became less of a threat, but because human ingenuity figured out a way to deal with it.
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So, there's that.
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That by us being able to deal with the virus in a better capacity, we effectively reduced the death rate, which is, obviously, a good thing for humanity.
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But when you are trying to be dismissive and are flipping about the pandemic in general, it becomes a different story.
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Because not everyone is going to have access to knowledgeable healthcare staff.
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Because, maybe, you are in a different country, or you are in a different area, where these COVID best practices haven't been disseminated to yet, and they just legitimately don't know.
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Now, all of a sudden, you're dealing with that and then you're going to be lying on your back in this specific case.
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And now your probability of death is going to be higher than it is for the rest of the informed population.
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And the response to the pandemic has become needlessly politicized to the point where you cannot have an honest conversation about the potential ramifications of this virus.
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There are a lot of these alien movies.
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We like to talk about how everyone's fighting each other and how humans have wars, but… If you remember, in"Independence Day" movie the aliens came and all of a sudden, everyone banded together to face the common threat.
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Chinese, Russians, Americans– all fought together.
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And Bill Pullman had that famous– greatest movie cinematic president by far, even better than Harrison Ford in the the"Air Force One", which is saying something, because Harrison Ford was awesome in"Air Force One", but anyway, Bill Pullman– the greatest cinematic president ever, and then you also had those scenes of the Arab military working with the IDF, and everyone came together to face the common thread of those aliens.
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And, yeah, that's awesome...
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Well, now what we saw in this pandemic, is that was not the case.
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That even when we have an external threat, like the virus, when this was an opportunity for everyone to band together, because the virus does not discriminate, whether you're a leftist or rightist, whether you're a communist or capitalist, whether you're a Christian or a Muslim, the virus affects everyone.
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It doesn't care.
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So you'd think that, okay, we should band together, apolitically, and fight this pandemic.
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But instead...
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Maybe this was because the pandemic in most people's eyes wasn't as, quote,“bad” as they thought it was going to be, so they were able to afford to make this a political issue.
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And it did become a political issue.
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But what was surprising, was that it became a political issue in a way that was the opposite of what you would think it would be.
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Because you would think, okay, well, the Republicans are in charge, Donald Trump is in charge.
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Again, I'm talking from an American perspective, and a lot of it comes from the fact that the US perspective dominated the media and it was spread to the other parts of the world.
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Which is a separate topic in itself.
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But again, the point here is, we're focusing on the American perspective.
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The American perspective is: you have a Republican in charge, Donald Trump.
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This is a perfect chance for him to rally the nation together, like George W.
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Bush did after 9/11, and say, hey, we got this pandemic, this virus, it is affecting us all, so we need to band together and come together and fight this thing.
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And then you would have the Democrats, who, being the minority power, they would be like, oh my God, you bungled this whole thing, and people are dying, and you suck, and politicize it that way, right?
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Or saying like, oh, you are making all these draconian policies here, and the measures you are taking are inadequate and ill advised; and therefore, we're going to politicize, maybe, not the virus, but we are going to politicize the response to the pandemic.
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And of course, the response was politicized, but it was politicized in the opposite way: It was the Democrats, the Left Wing, that was saying, hey, we got to come together and fight this thing, because it affects us all.
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And the Right Wing was the one saying, oh no, this is ridiculous, it's a hoax.
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We're not going to take this thing seriously, and Democrats, you, guys, are all full of shit.
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So, it is disappointing, that we didn't have our"Independence Day" moment, where we would all band together.
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But it was also disappointing in the sense that it did become politicized, but it became politicized in the opposite way that you would think it would have been politicized, which shows how completely bizarre is the timeline that we're living in.
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You can't be prudent about wearing a mask, where if you're right-wing, you can't wear a mask, because if you wear a mask than, all of a sudden, it means that you are a Democrat.
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And because of the power of the American media, even in Europe it is associated, that if you're not wearing a mask, that's now like a calling card to say, hey, look, I'm a right-wing conservative.
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It's like your badge of honor.
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Which is completely ridiculous on the surface, but, unfortunately, the battle lines have been drawn up by media.
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Predominantly, by social media, but just media in general.
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And this is just another way to divide the population.
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I guess, this is pretty American-centric, because if you look at the authoritarian regimes, like Russia or China, the government is pretty firm.
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Or, maybe I should not say this, because that's not really fair: the government of the United States is also firm in saying that we should be taking it seriously.
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But the point there is that in countries like Russia and China, they essentially speak with one voice and they are dealing with misinformation with a laser focus.
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Whereas here in the United States, even though we have the executive branch saying, yes, we should take the pandemic seriously, you have people on the right, who are predominantly within the legislative branch, who are muddying the waters deliberately.
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And that's only exacerbated by the right wing media apparatus, slash, social media.
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Now, we can talk about social media some other time, but the whole point is that social media want to drive engagement numbers to increase their revenue streams.
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And controversy and people being divisive, people being angry with each other, is profitable to them.
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So there's an incentive to keep this type of lie going.
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And of course, as they say in the old KGB manual, you have a lot of"useful idiots" where the media can just drop a little nugget like, oh, COVID is only 2% death, and then these"useful idiots", which are just the people who consume that media… Note that I say"media", not"news", because they are not news.
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There has even been court cases on this, where they themselves say, oh no, you can't sue us, because we're not news, we're entertainment, but yet, they still lie and say that they're news to the public.
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Anyway, that's besides the point.
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But so, they drop these little nuggets of, quote,"statistics".
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Again, they're not bogus statistics, but the conclusion that you leap to from these....
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Again, it's not bullshit statistics, it's true statistic, but the conclusion that you leap to is bullshit.
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So, they drop that kind of like a pebble into a pond, and then you have the"useful idiots"...
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I'm not calling them idiots, but it's just a term that was used in those spy manuals.
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And then it takes a life of its own, kind of like the ripple effect in a pond: after you drop a stone.
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You can just drop a stone and walk away, seconds later, the lake is still disruptive with waves and ripples.
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The point here is that the final statistic that people like to throw out there, like that pebble into a pond, is that that statistic has underlying hidden statistics that it derives itself from.
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And those are equally, if not more important than the final statistic, because it is not just the final statistic that matters, but it is the nature of how that statistic came about, which should dictate public policy.
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In a news report it's fine to report the final statistic, but when you're doing public policy, it's not just about, what is happening.
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You have to understand why it is happening too, and then reduce those effects.
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You know what another great 2% statistic is?
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Only 2% of American military troops died in World War I.
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So, in that case World War I was not a big issue.
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Why is there this thing, that, oh my God, it was the war to end all wars, and it was such a bloody war, such a disaster?
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For the United States it was only 2% death.
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Obviously, you can see how ridiculous of a statement that is to say that World War I was not a big deal.
00:22:10.780 --> 00:22:25.779
Because, first off, the United States entered World War I pretty much at the end– in the fourth quarter– to face a depleted German military, where their will to fight and the effectiveness of their martial capability were severely diminished.
00:22:25.780 --> 00:22:34.900
And the US provided the much needed resources to the Allies to get through the hump, so that they could continue carrying on with the fight.
00:22:35.140 --> 00:22:45.369
And the deaths weren't just the United States, but it was also France, UK, and well, I guess Russia was already out because of the Bolshevik revolution, but again, the point here is that...
00:22:45.371 --> 00:22:46.839
you had that...
00:22:46.840 --> 00:23:00.460
And oh, by the way, the last year of the war was the advent of tank warfare, which did a big part in ending the war, because now you could use tanks to get over the trenches and you didn't have infantry getting mowed down by the machine gun fire.
00:23:00.040 --> 00:23:00.460
So there were a lot of underlying things that happened, which contributed to that final statistic of only 2% of American military dying in World War I.
00:23:00.040 --> 00:23:00.460
If you're telling me, oh, the COVID death rates are only 2%, it's not a big deal and we shouldn't worry about it, by that same logic I could say, oh, well, in that case, World War I wasn't a big deal, and we shouldn't worry about it because only 2% of the military died, so, who cares?
00:23:00.040 --> 00:23:00.460
But you can see how comical that statement would be.
00:23:00.789 --> 00:23:35.859
Another aspect of it is that the 2% is based on the overall population.
00:23:36.819 --> 00:23:42.789
Well, that population is divided amongst a whole gamut of age groups.
00:23:43.059 --> 00:24:02.180
And if it is presumed to be that the COVID virus is more dangerous to the elder than it is to young people, then that younger population is going to contribute to an overall lower death rate to the society, than one that is older, right?
00:24:02.240 --> 00:24:05.480
So all things being equal, and this is important, all things being equal, because it's not.
00:24:05.181 --> 00:24:05.480
But all things being equal, the death rate for, you know, Nigerians, for example, would be expected to be much lower than it would be for Japan, for example.
00:24:05.181 --> 00:24:05.480
And that is because Japan has a much larger proportion of elderly in their population, whereas Nigeria is a relatively young country.
00:24:05.181 --> 00:24:05.480
But again, all things being equal.
00:24:05.181 --> 00:24:05.480
And it's important to understand it, because that is the only really proper way that you can compare statistics to each other: if you isolate one variable.
00:24:05.181 --> 00:24:05.480
When you mix and mash a whole bunch of different things, then you don't really know.
00:24:05.181 --> 00:24:05.480
And it's kind of only God knows what's the actual causation is.
00:24:05.181 --> 00:24:05.480
So, in this case, that part of that 2% number comes from the fact that that most of their population is young.
00:24:05.181 --> 00:24:05.480
So it naturally reduces the death rate, but still that doesn't change the fact that the death rate is higher for the elderly.
00:24:55.220 --> 00:25:07.460
And these are just the things that we already know.
00:25:07.609 --> 00:25:15.200
But then again, the justification there is that people say, like, well, yeah, it's high, but it doesn't re really warrant shutting down the economy.
00:25:15.201 --> 00:25:21.799
And okay, well, fine, we'll let the old people sit home and be confined, whereas young people can go out and do things, right?
00:25:22.220 --> 00:25:23.690
Well, there are several things wrong with that.
00:25:24.440 --> 00:25:25.400
First off...
00:25:25.759 --> 00:25:38.210
I always remember when I was little, my parents, my grandparents, uncles, aunts, they would say, the problem with your generation is that you, guys, don't care about the elderly, you don't respect your elders.
00:25:38.211 --> 00:25:38.750
Right?
00:25:38.750 --> 00:25:40.819
Everything, me, me, me, selfish, selfish, selfish.
00:25:40.820 --> 00:25:45.920
And we show respect to our elders, and you, guys, don't.
00:25:45.921 --> 00:25:47.450
Well, now here we are.
00:25:47.451 --> 00:25:47.750
We have this pandemic that, by your own admission, doesn't affect us, but it affects you, guys.
00:25:47.570 --> 00:25:47.750
And we're the ones trying to protect the country, protect you, guys by having this confinement and lockdown.
00:25:47.570 --> 00:25:47.750
And you, guys, are the ones to say, oh no, screw everyone, go out there and do not be confined, right?
00:25:47.570 --> 00:25:47.750
Well, what were all those comments, all that lip service that you were giving us about how this generation doesn't respect its elders?
00:25:47.570 --> 00:25:47.750
So, that's one thing.
00:25:47.750 --> 00:26:21.019
But more importantly, is that, again, when we are talking about a virus, a pandemic, it is not a bullet, it is not a throw of dice.
00:26:21.020 --> 00:26:21.950
Things do not happen in isolation.
00:26:21.951 --> 00:26:30.380
If people are out there not being confined, this virus is spreading around and going around with them.
00:26:30.381 --> 00:26:33.589
Even if the death rate is low, people are still catching the virus.
00:26:33.590 --> 00:26:35.839
And when they come back home or when they do interact with the elderly, well, now you have a bigger chance, higher chance of exposure to someone who a young person who is infected.
00:26:35.480 --> 00:26:35.839
They may be asymptomatic, because as you like to say all the time, the 98% of young people are going to survive, so it's no big deal.
00:26:35.480 --> 00:26:35.839
Well, it's no big deal to them, but for you, it's a big deal, because you're elderly and your death rate is, supposedly, a lot higher.
00:26:35.480 --> 00:26:35.839
So, going back to the sharks versus cattle, if you are talking about, oh, well I never go out to the sea, so I'm not going to worry about sharks.
00:26:35.480 --> 00:26:35.839
Now, all of a sudden, you retired, you went down to a Ibiza or whatever, and now you are basically living by the ocean all the time.
00:26:35.480 --> 00:26:35.839
Well, maybe I shouldn't say Ibiza, because that's Mediterranean, and sharks, aren't really in Mediterranean.
00:26:35.480 --> 00:26:35.839
Anyway, you get the point.
00:26:35.480 --> 00:26:35.839
It is that your exposure rate to sharks now, all of a sudden, is much higher.
00:26:35.480 --> 00:26:35.839
So your death rate is going to be potentially higher.
00:26:35.480 --> 00:26:35.839
And this is a cause for concern.
00:27:19.289 --> 00:27:39.750
We shouldn't be taking things lightly, because, oh, the mortality rate for COVID is only 2%.
00:27:39.750 --> 00:27:42.210
There are underlying factors that contribute to that.
00:27:42.211 --> 00:27:43.829
It's not in isolation.
00:27:43.830 --> 00:27:47.880
This is not like you have a 2% chance of getting shot with a bullet.
00:27:47.881 --> 00:27:48.720
This is a virus.
00:27:48.721 --> 00:27:54.210
So every infection increases the exposure for others, and it just keeps going, and going, and going.
00:27:54.211 --> 00:27:55.349
That's the real threat here.
00:27:55.351 --> 00:27:58.109
And this is why the statistics are dangerous to be quoted.