The Jordan Harbinger Show - 662: Daniel J. Levitin | How to Think Critically in the Post-Truth Era
Episode Date: May 5, 2022Daniel J. Levitin (@danlevitin) is a cognitive psychologist, neuroscientist, musician, record producer, and author of Weaponized Lies: How to Think Critically in the Post-Truth Era. [Note: T...his is a previously broadcast episode from the vault that we felt deserved a fresh pass through your earholes!] What We Discuss with Daniel J. Levitin: The most important quality for anyone who wants to be an evidence-based, critical thinker. Why even society’s smartest people fall victim to misinformation. The first step to making good decisions. How to dismantle bad arguments on the fly. Why you need to look beyond averages when making a case. And much more… Full show notes and resources can be found here: jordanharbinger.com/662 Sign up for Six-Minute Networking -- our free networking and relationship development mini course -- at jordanharbinger.com/course! Miss the show we did with award-winning cybersecurity journalist Nicole Perlroth? Catch up with episode 542: Nicole Perlroth | Who’s Winning the Cyberweapons Arms Race? here! Like this show? Please leave us a review here -- even one sentence helps! Consider including your Twitter handle so we can thank you personally!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
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Coming up next on the Jordan Harbinger Show.
My favorite example is that the number of people who die from getting entangled in their bed sheets
is correlated with the per capita consumption of cheese.
So I suppose you could spin a story that people who want to die by strangulation in their bedsheets
decide to have one last rich meal of cheese, and so they go out and buy a whole lot of it.
Or maybe people eat a whole bunch of cheese and they get into a dairy-induced stupor
and end up strangling themselves.
But more likely, these two things are unrelated.
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Today we're talking with Daniel Levedon.
He's the author of Weaponized Lies.
Great title, by the way.
We're living in an age of information overload.
We're constantly bombarded by info, right?
It's getting harder and harder to tell what's true and what's not.
Misinformation, disinformation, irresponsible information.
We're going to try and help everyone make better decisions
and to think more effectively about the information you encounter in your day-to-day life.
Today, we'll explore critical thinking techniques involving experts,
pseudo-experts, data charts, words, and numbers.
And we'll learn some techniques to think more critically and dismantle arguments on the fly.
And last but not least, we'll find out why the average person only has one testicle and what that means for you.
So enjoy this episode with Daniel Levitin.
A lot of folks, when they think about these topics, they think, yeah, you know what?
Other people sure are dumb and they get misled a lot.
But I looked at this newspaper article the other day and it said that half of all humans only have one testicle.
that was shocking. We need to do something about that. That actually, of course, is almost true,
given that half the population has no testicles. These kinds of things are not always so simple,
but I think that even people who are educated, smart, and think that they think critically,
sometimes are the ones that fall victim to this stuff even more. I think the most important
quality to have, if you want to be an evidence-based thinker, a critical thinker, is humility.
If you realize that you don't know everything and you're open-minded enough to take in new information, you can save yourself a lot of trouble.
The most dangerous thing is somebody who is so sure they know something, but they're wrong.
And then they go off headstrong into the abyss thinking that they're absolutely right and disaster can result.
You hear stories every once in a while about somebody who puts jet engines on their car because they think it'll make it go fast.
and they're so sure it's going to work, but they haven't thought ahead to what'll happen once the car is lifted up off the ground. How are they going to steer the thing? And a number of famous disasters, the Challenger explosion, the Exxon Valdez, the Fukushima power plant, can be chalked up in part to overconfidence, to not realizing that we don't know everything we think we do. And that's a little scary, especially in an age where information is constantly bombarding us. We haven't necessarily
evolved the tools to try to think critically at high speed about everything that's coming at us
and requires a quick decision and things like that. And this is true from social media when we're
looking at our Facebook feed, all the way to discussions we're having with people who are
maybe deceiving us by accident simply because they're repeating something they heard from somebody
else. And it doesn't have to be false facts. The problem is sometimes the facts themselves can be
true. They're skewed. They're skewed deliberately or by accident using statistics or math or
anecdotal evidence instead of empirical evidence, and that's a big problem. I noticed in weaponized
lies, your book, that critical thinking when it comes to what we're hearing and reading,
it's really all around us and it has been since I was a kid. I mean, even those commercials,
four out of five dentists approve of this toothbrush. Even that stuff is just kind of ubiquitous,
and now it's maybe a little bit more nefarious, not just used to sell toothbrushes, but to sell
political ideas. The problem is that critical thinking is hard. We didn't evolve brains to think about
the kinds of data that we are encountering these days, statistical data, big data. We evolved to
deal with things like rocks rolling down hills and warring tribes coming at us. And I think the first
step to making good decisions in any domain that you make decisions in, whether it's your finances
or relationships or try to choose a job, all of those.
those things, the first step is to realize that thinking about this stuff is hard, and we have to take
some time to do it, and we have to practice doing it, and recognizing our failings can help us to avoid
the pitfalls. You mentioned skewed data, and it got me to thinking, you know, one of the tools I
try to provide in the book, and that I'd like to share with people who are listening today, is that
often you'll find, if you go and look into it, the data are true, but they're completely irrelevant.
to the point that's trying to be made.
One of my favorite examples of this is the finding that was published after my book came out.
A study showed that the number of books read by American school children falls every year after
second grade.
The number of books read per year declines for every year after second grade.
What you're led to believe is that either students are slothful and lazy or that what's
going on in the schools that they're not teaching our students discipline and good study habits,
it's the collapse of the modern educational system. All these things might be implications.
Unless you stop and you think, wait a minute, maybe the number of books read per year is not
really relevant to any of these issues. In second grade, you're reading short little books.
You know, there might be 10 or 15 pages long. By the time you're in junior high school,
you're reading Lord of the Flies, 195 pages. By the time you're a freshman,
in college, you might be reading war in peace, 1,200 pages. Number of books is not the relevant
metric if you want to figure out how scholarly students are. That's interesting for me because
I essentially didn't read until my 30s other than school books, but I went to law school.
So if you ask me how much I read before age 30, I would say almost nothing, but the truth is I
read probably more than any normal person ever would. I just read legal cases and other stuff
like that. So it really does matter the data that you're looking at. And of course, you're not
necessarily withholding data on purpose. We're just not necessarily asking the right questions.
And in weaponized lies, you do talk about some of those questions. And I'm specifically going to
leave out the math and probability notes on this, I would say, because we don't need to prove
everything today here on the show. And people can get the same info in weaponized lies if they need it.
I want to focus on the ideas and the examples. So are there five or six maybe major categories we
see as humans with media manipulation, we see companies manipulating us, for example. Why don't we just
start there? I feel like marketing and having companies manipulate us has been par for the course for so
long. What are some of the most common examples you see of that that most people maybe don't see
or notice? I think in general, yeah, there are some big categories of ways that we can be manipulated
by companies, by the government. One of them is the lack of a control group. And this is a concept
borrowed from science, but you might read claims for echinacea that it helps to fend off a cold.
You feel a cold coming on, you take echinacea and then maybe four or five days later,
you're completely better. There's no evidence at all that echinacea can help fend off a cold.
What you need is a controlled study. You need people who are all coming down with coals,
and you give half of them echinacea and you give half of them a pill that looks exactly like it.
That's what's called the control group. And you don't tell anybody which is which,
so their expectations don't factor into it. And if you do that, it turns out echinacea has no effect.
But there are a lot of claims made where there's a missing control group. And it's not just medicines.
It's things like, oh, if your parents read to you as a child, you're likely to do better.
But we don't know how well or poorly you would have done if your parents didn't read to you as a child.
It's not controlled, you see. A second category is the relevant data that we were just talking about with the books read.
A third category is claims that are asking you to believe one thing, but if you look carefully at the
language, it might raise your suspicions. A lot of claims are vague or misleading, and they're
intended to be that way. Other times the people telling you these things that don't know the
difference themselves. You mentioned four out of five dentists. Maybe we can dig into that a little bit.
Sure, yeah, exactly. So there was a claim that four out of five,
dentists recommend Colgate. This was a big ad campaign. Now, if you're a critical thinker,
I mean, there are a number of questions you'd want to ask here. Like, who are these dentists?
Do they still have their medical licenses? Are they getting money from Colgate? Another question is,
how many dentists did they ask? Did they literally ask just five? Or did they ask 500 and 400 recommended
Colgate? This matters. More to the point, you might want to know, what question would a dentist be able,
to answer given a dentist's expertise. I've been going to a dentist all my life. My dentist has never
asked me what toothpaste I use. He doesn't keep track. In order to know what toothpaste is best,
you need to do one of these controlled studies we were talking about with echinacea,
where you give a bunch of people Colgate and you give other people crest and other people
arm and hammer and gleam and aim and aqua fresh and all the different toothpaste. And then you wait
and see who develops the most cavities or you measure gingivitis or bad breath or whatever
interested in. That's a controlled study. Without that, you don't really know, you'd need a medical
researcher to do that, but dentists aren't running these kinds of studies that I know of. So I would
actually add this as a separate category, a case of failed expertise or pseudo expertise.
Sure, right. Somebody's pretending to be an expert and they're not. Five out of ten of my dad's
friends don't recommend using smartphones, but I'm not going to listen to them because they don't
know anything about technology or people who are my age and how we live in work, right? So
failed expertise indefinitely, and I got to just say side note, I'm very impressed by your ability
to rifle off so many different brands of toothpaste without even pausing. I don't think I could do that.
You should try me with breakfast cereals.
Pseudo expertise, great topic. I'm really glad that you mentioned that. That's something that I feel
like we fight a lot, both when we're watching the news here and just on the show, pseudo-expertease
is something that is, first of all, kind of a cancerous thing in society in general.
certainly on the internet and in business especially in the business niche.
I field questions about this all the time.
So and so is worth $600 million.
Well, no and no and also no.
And they told you that to sell you this product.
And also that person has nothing to do with the field that they're selling you the product.
I mean, there's so many things wrong with this.
I would love for you to rip this one open.
Well, you're absolutely right.
The fact is expertise has become increasingly narrow in the last 30 or 40 years.
There's so much information that we've created as a society. By Google's own estimate, we've created
as much information in the last five years as in all of human history before it. And so if you're
a biologist or a cancer doctor or a specialist on Chinese art or a political pundit and economist,
if you want to maintain a foothold of expertise in your area, it's going to tend to be narrow.
You'd be hard pressed to find somebody who is expert in the law. They're going to be hard.
going to be expert in constitutional law or torts or criminal law. And even within criminal law,
they might be expert in murder, but not in robbery. Expertise tends to be narrow. So I find this
most often irritating with scientists who start talking outside of their domain. This isn't just
an intellectual problem. It can have very real practical consequences. I'm thinking of the story
of Sally Ann Clark, who was a young woman in England, whose first baby died of what they called
sudden infant death syndrome, SIDS. And then a few years later, she managed to become pregnant again.
She gave birth to a second child, and within a few months, that child had died. Well, a prosecutor
tried her for double murder, claiming that the odds of two infants dying of that syndrome
in the same household from the same mother were astronomically low. She must have.
have murdered one or both of them. And they trotted out a pediatrician who testified for the crown
in England and said, you know, the statistics are unbelievably low. She must have murdered one of the kids.
Well, let's take a step back now and think of this through the lens of expertise. Getting back to that
conversation we had a moment ago about dentists, which toothpaste is the best for you to use because
they're generally, most of them aren't keeping track. Ask yourself, is a pediatrician, an expert on infant death?
That's a good point, not necessarily.
They're experts in infant health.
It sounds like they should be an expert in infant death, but really a coroner would be an expert.
There you go.
You want to talk to somebody who has seen hundreds of infant deaths in his or her career.
And if you're a competent pediatrician, you might only see one or two, hopefully.
I mean, you know, infant death is relatively rare, fortunately.
So the pediatrician messed up his statistics because he's not trained to think about infant death.
And that put this woman in prison.
That's very tragic.
And it seems like the pediatrician should have known, but I would imagine he's thinking,
no, I've read several articles about this.
I am an expert and I'm also a doctor.
Well, and there's a conflict of interest.
Like with the dentists who are recommending toothpaste,
they don't actually benefit financially if you have good oral health.
They make their money if you don't.
And I'm not accusing dentists of having an ulterior motive,
but you do have to worry about this kind of bias,
at least subconsciously, and of course there are a few bad apples. And in the pediatricians case,
he makes more money if he's an expert witness than if he's not. So there's an intrinsic bias there.
As you say, you need a coroner or a medical examiner. Ultimately, Sally Ann Clark was exonerated and
freed from prison, but she ended up serving three years first. And the whole experience was so
horrible that she ended up committing suicide. Oh my God, that is terrible. Of course, because she lost
two of her babies and then I would assume her marriage fell apart while she was in prison for murder.
I don't know about that. I do know that her husband stood by her and he believed her innocence.
You're listening to The Jordan Harbinger Show with our guest, Daniel Levitton. We'll be right back.
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Now, back to Daniel Leviton.
One thing that seems to be in the media lately that drives me bananas is this anti-vax crowd
of not vaccinating your kids.
And of course, now we end up with problems where healthy kids with parents who aren't
knuckleheads are dying or getting measles because they have to go to school with somebody
whose parents decided to read something on Info Wars.
And now everybody's getting diseases that were eradicated when they got rid of pirates.
Well, I guess we still have pirates.
so it's fitting that we still have measles, never mind. What's going on with these folks?
This is a hornet's nest. You and I both live near ground zero for the anti-vaxxers, which is Marin
County, California. And I've been traveling around the country, and I've run into these pockets of
anti-vaxxers. And the interesting thing is they tend to be better educated than the average person.
They tend to be relatively affluent. And they've somehow got it in their heads that
vaccines cause autism, the measles mumps rebella vaccine in particular, MMR. It began with an article in a
medical journal by Andrew Wakefield, not an expert on autism, but a physician in England who presented
evidence that vaccines caused autism. Well, it turned out he admitted to fabricating data, his paper was
retracted, and he's been discredited and lost his medical license. But the story about this fake
connection persists. And one of the things I can tell you as a neuroscientist is that once you come to
hold a belief, it's very, very difficult to get you to give it up. Your brain clings tenaciously
to beliefs that it's held, even when the evidence has been found to be bogus or untrue.
The additional problem is that we do see a correlation. In other words, parents who have kids
with autism in a large number of cases did vaccinate.
their kids, and then the autism showed up sometime after. But it turns out that's explainable.
You can't give vaccines too early in a toddler's life. Their immune system isn't ready for them.
We give vaccines at a very precise point in the development of a child when they're ready.
The other problem is that autism, by definition, is a developmental delay. It's not hitting your
regular developmental milestones. And it takes until a certain age before you notice that.
you don't notice that your child isn't talking normally until after the age when he or she would be talking at all.
So the problem is that the vaccines are almost always given before the autism, just because the time course of when the vaccines should be given is at a younger age than when you can even notice the autism.
It doesn't mean that the one caused the other.
Right, of course. And correlation and causation is another area, a great accidental or possibly deliberate segue I'd love to hear about.
And I've seen this on television, and I feel bad for these people.
They say, look, I vaccinated my son and, you know, he got autism, and I met another person with an autistic son, and he had his kids vaccinated.
So I'm not going to have the rest of my kids vaccinated.
It's not totally illogical when you look at it like that, given the emotions in play and the consequences in play.
But it's kind of like saying, well, be careful.
Don't get your kid a driver's license because 99% of the people that drink and drive are people who have driver's licenses and are.
over of driving age. It's like, well, yeah, they do because those are the people who are old
enough to drive and are able to drive and know how to drive and are at the age where their friends
and them are drinking. They don't do it when they're 11. They don't do either of those things
generally when they're 11. So it doesn't necessarily mean that one causes the other. But can you
give us some more concrete ways to think about this and to look at these problems critically?
Because I want to give people some tools here. I think these are very important to look at not
only these claims and evaluate them differently, but any claim and evaluate them differently.
If you're not careful, your law school training is going to show through here.
I know. Whoops. Oops. I thought I buried that.
So before we go to the correlation causation in general, let's circle back to the autism
vaccine connection for a moment and invoke that principle of one of the earlier principles we
were talking about of the control group. So it turns out that the way you would really know
if vaccines cause autism is you'd take a bunch of.
of kids at random and you'd give them vaccines and another bunch of kids at random and you'd give
them a sham vaccine. You know, you poke them with a needle but not really give them anything.
And you wait and see if they develop autism in equal numbers. I'm guessing that's not going to be
allowed anywhere anytime soon. It's unethical to do that. But as you pointed out,
the experiment was in fact done in communities such as Marin County and some pockets in rural
England where people just stopped vaccinating their kids. In those communities,
we tended to see measles outbreaks, of course, because the kids don't have the measles vaccine.
They're not immune to it anymore, and that can have terrible consequences. But more to the point,
across a 10-year span in which vaccines were eliminated, autism rates remained the same.
So it couldn't have been the vaccines causing the autism, right? You've got the same incidence of autism,
even without the vaccines. But the anti-vaxxers still aren't buying it. And I have to tip my hat to them,
because the instinct to question authority and to worry that maybe Big Pharma and the government
have some profit motive, that's a cornerstone of critical thinking, of course. That very kind of
questioning is what I'm proposing we need more of. The problem is with the follow-through. It's not
enough to ask the questions. You have to then seek out evidence that will help support an answer to the
question. I want to clarify one point that you make early on in weaponized lives, which is that not
knowing this stuff does not make us dumb. Can you expand on that? Well, what I'm trying to say is that
these things are very, very hard and they mess up a lot of smart people. I worked for a decision-making
scientist named Amos Tversky, who collaborated with Danny Kahneman. As you may know,
Connman won the Nobel Prize. Tversky probably would have shared it with him, but Tversky passed away,
and they don't award Nobel's posthumously. But Kahneman and Tversky are responsible for a lot of
this literature. And what they showed is that even people with PhDs and statistics and medical doctors
mess up on these kinds of thought problems and real world problems all the time because it is so hard.
So not being able to think this way doesn't make you dumb. It's just that our brains weren't
configured like this. And the silver lining is that if we work at it and we recognize our weaknesses,
we can train ourselves to be better. I'm no Daniel Conneman. I'm never going to get
Nobel Prize for anything, I would imagine, but I do have a decent professional education,
and I often have a very hard time with things like statistics, statistical thinking,
wrapping my head around this stuff. And bear in mind, I was trained to think critically at a law
school about topics just like this. It just doesn't mean that I can do it all the time,
especially when it comes to numbers and data and doing it in real time while having a conversation.
And it seems like our brains are actually evolved to use specific types of data and maybe
not others. I mean, looking at visualizations and things like that, you mentioned a weaponized
lies, that's easier. But even graphs and things like that can be used to manipulate data
when people really want to do it. They sure can. In some cases, as with verbal descriptions
of things, the person drawing the graph is trying to put what over on you. And in other cases,
they just don't know better themselves. And I'm grateful to Fox News for supplying so many wonderful
examples of misleading graphs. I reproduce some in the book like a pie chart where the different
slices add up to more than 100%, which is completely nonsensical, right? You're dividing the pie
into pieces or graphs that give you a visual impression that's very different than the numbers
in order to make you think that an effect is larger or smaller than it really is. If you see a graph or a chart
or a diagram in the newspaper or on Facebook or what have you, if the bar graph or the
the line graph has axes that aren't labeled, or if there are no numbers next to the tick marks,
just ignore it. Because you could draw anything there if there are no numbers on it and it could be
accurate, but you don't really know what the truth is. That is a little scary, right? Because I can
imagine it's, for example, when I look at SEC filings, which I do as rarely as I have to, I look at things
like these documents and we have to be really careful. I used to work on Wall Street with financial
stuff. Do you think disclaimers are huge in insurance and things like that? You haven't seen nothing yet.
Look at an SEC filing. They can't even use visuals in many cases because they're so accidentally
misleading. So if I say something like, I really think this is a good investment and I show a
random chart with like you said, no axes labeled and there's just a line going up and it looks kind of
like a graph. Can't do it. The idea is I want you to sort of maybe, I'm lying by omission,
letting you think that this is a graph of this stock or this security or this company's revenue,
and it's going up.
You can't do it.
People have even gotten in hot water for things like company logos that look like graphs that go up.
You just can't do it.
We don't take care of ourselves in most other areas.
The SEC is particularly cautious, well, in certain cases, and reckless in others, if you ask me,
but these types of things are so accidentally misleading that we have rules against it.
But the rules don't seem to apply to television advertising, certainly not to internet advertising.
And just to make it a concrete example, say you're trying to sell something to somebody.
It could be stock, it could be investors in your company, whatever.
You want to show that your profitability has gone up and you want as steep a line as possible,
right?
Well, suppose that in a million dollars of sales last year and then this year you have a million
dollars in one cent.
Well, if you make a graph and you don't label the axes, you can have a very steep looking curve
for that one cent if the little tick marks each represent a hundredth of a cent.
Oh, my goodness, look how high up it went.
You just start the graph at a million dollars and you end the graph at a million dollars
in one cent and you don't label anything.
You could even lose money and have the graph appear to be going up if you have the negative
numbers going upward and the positive numbers going downward.
I've seen that too.
Yeah, that's, of course, very scary because, again, if we're not thinking actively about this,
people are trying to reach our emotional brain using these visuals, and we're evolved to look
for patterns.
Patternicity is something that Michael Shermer talked about, and I think Sam Harris talked about here
on the show as well.
We're really bad as humans.
It's seeing patterns in text, but it is easier to get tricked by graphs and visuals.
Unlabeled axes, like you mentioned.
I like the idea that if you don't see labeled axes, take everything with a grain of salt.
and or just ignore it because they are trying to trick you.
Going back to the education level of people that quote unquote fall for this stuff,
where and what role does the Dunning Kruger effect play?
Can you take us through, first of all, what that is?
It's one of my favorite rules.
If as long as we're making lists of rules, it's one of my top go-toes.
Some people are so dumb, they think they're smart because they're like,
I don't see why we don't just build a wall because if there's a wall,
then they can't run over the border.
And it's like the reason we haven't built a wall is because people who have more than three brain cells realize that immigrants aren't just walking across the Rio Grande. They're flying in on airplanes and then they never go home. You know, so it's like that kind of thing. I know this because there was a science article about it in the journal Science. The problem with people who are ignorant is twofold. I mean, the first problem is that ignorance can lead to problems. But the second part is that they're ignorant, typically, of their own areas of ignorance.
And so they're so sure that they're right that they end up making either big mistakes or nonsensical pronouncements, which really makes a nice full circle with where we began our conversation.
One of my favorite examples of this is actually it happened to me.
I saw the movie The Big Short, as I imagine many of our listeners did, and I was struck by a quote in it on one of the panels, you know, between scenes.
It ain't what you think you know that gets you into trouble.
it's what you know for sure that ain't so.
Right.
Tributed to Mark Twain.
I remember also seeing it in Al Gore's film, an inconvenient truth, the identical quote.
And so I thought, well, that's interesting.
It ain't what you think you know.
It's what you know for sure that just ain't so.
And so I put it in my book as an opening epigraph.
Then after I submitted the book to the publisher, I had a month or so to track down all of the
quotes and all of the articles and just, you know, make sure that everything was shipshaped.
And I could not find that quote in any of Mark Twain's writings at all. And so I went to the library
and I looked in books of quotations. I did internet searches. I finally called up a librarian,
the English librarian at Vassar, Gretchen Leeb, because, you know, librarians are really smart
about this stuff and they've got special training. You may not know this, but at universities,
librarians hold a rank equivalent to professors. It's a very serious job with serious training.
and I asked her for her help, and using all of the resources that she had, she found no evidence that Twain ever said this, which is so deliciously ironic, because what it means is that both Al Gore's filmmakers and the big short filmmakers succumbed to the very illusion that they're warning against. They were so sure that the quote came from Mark Twain, they didn't bother to check it out. It's what they knew for sure that just wasn't so. In fact, the librarian couldn't find the quote anywhere. And I think the reason
that we all buy it is that it kind of sounds like something Mark Twain might say. It's got the word
ain't in it. You know, ain't so, has the kind of ring to the way he would write. But if you look at
the literature of that period, there was something close to the idea floated by Brett Hart and
H.L. Mencken, two other American humorists. Also sounds like something Will Rogers might have said,
but none of them actually said it. The first documented appearance of it is in the Al Gore film.
This is the Jordan Harbinger Show with our guest, Daniel Levitton.
We'll be right back.
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Now for the rest of my conversation with Daniel Levitin.
An exercise that I like to do when I look at things like correlation versus causation
or when I see examples of something that is a so-called rule, I try to think of ridiculous
examples of that and see if it holds up.
And one you gave in weaponized lies is really good.
Nicholas Cage movies versus drownings.
Can you take us through that scenario?
Yeah, so we're talking about things that correlate, but that's,
doesn't necessarily mean one caused the other. Just to take an example, I made myself a cup of green
tea about an hour ago, and then not long after the phone rang, and there you were. I don't think that
my making the cup of green tea caused you to call, and I don't think that one could make an argument
that it did, but if in fact, every time you and I talk, I had a cup of green tea before, I still don't
want to conclude that one cause the other. And a guy named Tyler Vigian, a Harvard Law School student,
has a bunch of ridiculous examples to sort of put a finer point on it. And the idea is that
the world is so complicated and there's so many things going on that if you look hard enough,
you'll find things that co-vary. By that, I mean, this one increases and another thing increases
with it and they both decrease according to the same pattern. And what he found is that
Year by year, the number of Nicholas Cage movies made correlates with the number of people
who drown in swimming pools. My favorite example is that the number of people who die from
getting entangled in their bed sheets is correlated with the per capita consumption of cheese.
So I suppose you could spin a story that people who want to die by strangulation in their bedsheets
decide to have one last rich meal of cheese, and so they go out and buy a whole lot of it.
Or maybe people eat a whole bunch of cheese and they get into a dairy-induced stupor and end up strangling themselves.
But more likely, these two things are unrelated.
To be fair, on the other side of the coin, I can see that there's plenty of people that might hear about another Nicholas Cage movie and just decide to end it.
I can see that correlation.
Yes, or, you know, Nick sees all these people drowning in pools and thinks, I'm going to just back off making movies for a while.
Yeah, exactly.
Yeah.
Nicholas, do us a favor, man.
People are drowning themselves all over America.
Give it a rest.
The reason I brought that back up, despite having already covered causation and correlation,
is because I like to give practicals here for the show.
And frankly, I think that looking at ridiculous examples of so-called rules to see if they
still hold up works quite well.
Another thing that I use all the time wherever possible, especially when debating, is to
argue against your own point.
And this comes from a book called The Five Elements of Effective Thinking.
I'm not sure if you've seen it.
but arguing against your own point in your own head
or with someone else or during a discussion
is a great way to find the holes in your argument
and to see whether or not you're right
and to see whether or not there is another perspective
that could be equally valid.
Because generally when we're arguing something,
we've already made up our mind.
But when we argue against our point,
often enough we can find possibly that we're wrong
or at least find another angle on these things.
And it looks like this holds true with your work as well.
As in weaponized lives,
you did mention that even sometimes statistics as presented can't be interpreted at all. They're just there.
Yeah, I think what you're talking about is very important. And of course, some members of society
get this training in looking at the other side, lawyers, notably scientists, but we don't all get the
training and we would all benefit from it. It doesn't do you any good to try to talk yourself into
something if you're only looking at half of the story or half of the evidence. That is if you want to make
evidence-based decisions. And if I could put in a plug for evidence-based decisions, they are
correlated with, we don't know that they cause it, but they're correlated with a host of better life
outcomes. People who make evidence-based decision-making tend to make better decisions about their
financial future, about their medical care, and so they tend to live longer and live happier lives.
The difficulty here is that we tend to make decisions from an emotional place, and I'm the last
person to deny the importance of emotions, I think they're very important, but we have to keep them
at bay long enough to evaluate the evidence rationally and objectively and see where it goes. So yes,
argue with yourself. What evidence would you need to contradict yourself? And is that evidence
as solid? Is it as credible? Is it as powerful? Because it's not just people who say have low IQ
and the Dunning Kruger sort of effect into play here that are more easily manipulated. It's also
people who can't control their emotions. And one of the reasons to control your emotions is not just
to avoid embarrassing yourself, but to avoid convincing yourself that something is right or wrong because
of the way that you feel about it before, anyway, that you've actually been able to evaluate the
facts, before you've had a chance to ask yourself, can we really know that, how can we know that,
is the person telling me this somebody who might know that, or are they a pseudo expert, or are they an
expert in something that is not this particular area. And these are all questions we need to ask
ourselves. And that becomes very difficult if we're too busy being angry or worked up about
whatever we're discussing at the time. Yeah, one of the funniest illustrations of the Dunning-Cruder
effect is the Jonah Ryan character in Veep is overconfident and doesn't know all kinds of things that he
should know. So he doesn't know what regulations are. He just has these gut ideas about
things. Like you were saying, build a wall doesn't solve the immigration problem because
that people are crossing over in other ways. The solution here, again, comes back to humility.
Just because you think you can figure something out in your head doesn't mean you're thinking
of all the angles. And so a lot of what lawyers and business people and scientists do is sit around
a table and brainstorm and try to generate alternative scenarios. What might I be missing?
Who could I call that's an expert who could tell me what I might be missing?
Because just generating stuff out of your own head can lead to a very biased, one-sided view.
So how do people use these types of concepts and these types of informational techniques for positive intent and negative intent?
Because both are manipulative, right?
But usually we focus on negative intent.
It seems like there have to be examples of this being used for good.
Can you think of any?
Yeah.
The government and businesses may deceive us for our own good in some cases.
One example that comes to mind is that if you've got a fire in a building with restricted exits
and a lot of people in the building, you may tell people to leave but not tell them how bad the fire
is because you don't want to cause a panic. You might be misleading them, right, about the danger
because it's in everybody's best interest for them to leave in an orderly fashion.
I think for national security reasons, our government and military don't always reveal to us everything that's going on.
The police don't always tell you when they're about to close it on a subject.
They don't announce on the radio, well, we're a block away from the house where we think the suspect is, because that would give the suspect notice to leave.
And even if you were to interview a policeman approaching the house and say, where are you going, what are you going to do?
The policeman might lie because public safety is improved by being able to catch this person.
But I'm sure there are other examples where we're being lied to and someone thinks it's for our own good, but it really isn't. It's just their conception of what our own good is.
Sure. So are you of the opinion that manipulation no matter what is bad, even if it's for your own health? Well, no, I'm not. I don't know how to sort this out other than that it's something that we should be aware of and talk about. In medical schools, they teach classes in medical ethics. And this creates a poignant example.
example, if you know that a person has only a 10% chance to live, but that the particular disease
they have is affected by mood and emotion and brain chemistry, as many diseases are, is it ethical
to tell them you're probably going to die, which could actually cause them to die because
you put them into a depression? Or is it better to try and give them hope and kind of fudge
the statistics because they really have a much better chance of pulling through if they've got that
hope. These are ethical issues and there are no easy answers. You know, what if somebody says to their
doctor, whatever happens, don't tell me if I'm going to die. I don't want to know. No matter what I say
to you, don't tell me. And here's a signed affidavit. And then a week later, they're on their deathbed,
and they say to the doctor, forget what I said in that letter, I really do want to know.
You could imagine cases where it's not so clear cut. This is a very real case playing out in hospice
care and old people's homes and hospitals. This comes up a lot of the time.
time. Oh, I didn't realize that. I guess it does make sense. There's just something I never think about.
Certainly, the water supply might be contaminated in a way that doesn't really have any practical
health benefits. And if you look at the water codes for many major American cities, they're not
required to disclose certain violations if they don't have practical implications. So you might
figure, well, no news is good news. If I don't hear otherwise, my water is fine. But in fact,
they're allowed a certain number of contaminants and certain background levels of bad things,
and they're not required to reveal them to you, maybe because it would set off panic.
That's pretty scary. That's really actually not good at all, especially coming from Michigan
where we had the Flint issue that was actually quite disgusting and covered up and was harmful.
Yeah, and speaking of disgusting, take a look at what the FDA regulations are for how many
insect parts and how much rat's feces is allowed in strawberry jam. I'm really disturbed by the fact
that they actually have regulations for that specifically, because that alone illustrates the problem
enough for me. Oh, wow. I mean, insect parts, whatever. That doesn't get to me, but the rest of it,
yeah, I could take it or leave it. So many people out there in the media and corporations are
indeed trying to trick us in one way or another, and I am a firm believer that the way to counteract
this isn't to simply trick people in the other direction. Instead, I'm thankful for the opportunity
here today to begin the process of starting to teach people how to read data so that they can
educate themselves properly, make their own conclusions based on accurate facts and data,
and accurate interpretations of raw data really is the enemy of propaganda and deception in many
ways. Would you agree with that? Absolutely. I think each of us has to take responsibility
for doing a little bit of thinking on our own.
It's just because the people who are trying to deceive us
have become so facile in what they do
that the news media and the traditional gatekeepers of information
can't keep up with all the lies and distortions.
So it takes a little bit of work on our part, but it's worth it.
Thank you so much.
There's a lot of good practicals in here.
The book, of course, Weaponized Lies has many, many more.
Look at the data, look at what people are giving you.
More importantly, look at what they're not giving you.
you and ask yourself questions about what you're being presented, those little tiny tips alone
will start to open up a whole hidden world that is frankly a little uncomfortable, but very, very
useful. And for those of you who are getting used to this type of critical thinking, I think you'll
start to view things completely differently. Thank you so much, Daniel. Thank you, Jordan.
You're about to hear a preview of the Jordan Harbinger show about how you can be affected by
ransomware and cyber attacks on the rise now all over the world. We still don't know, just
how deep the Russians are into our government systems.
It's not as if we would see a Russian hacker
inside the State Department's network
and they would scurry away.
They would stay and fight to keep their access.
And when I went and interviewed the guys
who were brought on site to remediate
and get the Russians out of those systems,
they said, we'd never seen anything like it.
It was like hand-to-hand digital combat.
So it's going to be at least a year or more
before we can stand up and confidently say we've eradicated Russian hackers from nuclear labs,
the Department of Homeland Security, the Treasury, the Justice Department.
And now you're seeing ransomware attacks that are taking out pipelines and the food supply
that just come down to a lack of two-factor authentication and bad password management.
That's all it takes.
How do you trust that any of the software you're using is secure?
and not a Russian Trojan horse.
How do you respond to an attack aggressively
when you yourself are so vulnerable?
We live in the glaciest of glass houses.
That makes escalation, you know, that much more of a risk.
So, yeah, we might have sharper stones than others,
but our adversaries can just come back and say,
hey, they just blew up this pipeline or, hey, they just turned off our lights.
We're just going to go hit them.
And then you get into this cycle of escalation.
And that's what I worry about is the cycle of escalation.
And I think we're getting close enough that I think we're going to see a cyber attack within the next four years even that causes substantial loss of life.
For more with Nicole Pearl Roth on what the U.S. should do to push back against cyber warfare, check out episode 542 on the Jordan Harbinger show.
Thank you once again to Daniel Levitin.
The book will be linked in the show notes, as all the materials from all the guests always are.
Jordan Harbinger.com is where you can find those as well as the course.
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