WEBVTT - How to Tell When Someone Is Lying

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<v Speaker 1>You're listening to Part Time Genius, the production of Kaleidoscope

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<v Speaker 1>and iHeartRadio.

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<v Speaker 2>Guess what, Mango?

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<v Speaker 1>What's that will?

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<v Speaker 2>So I came across this study, and you know I

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<v Speaker 2>love a good study, Mango, But this was from researchers

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<v Speaker 2>at the University of Wisconsin Lacrosse, and you know I

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<v Speaker 2>love University of Wisconsin Lacrosse. And this is a pretty

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<v Speaker 2>weird one. So here's what they did. They asked six

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<v Speaker 2>hundred and thirty two people to document every single lie

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<v Speaker 2>they told over the course of three months.

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<v Speaker 1>That is incredible.

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<v Speaker 2>So what they find out, well, among other things, they

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<v Speaker 2>discovered that the number one reason people lied was to

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<v Speaker 2>avoid others. Oh, I mean that kind of makes sense

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<v Speaker 2>to me, Yeah, it does. And the second most common

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<v Speaker 2>reason people lied was for jokes or pranks, which also makes.

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<v Speaker 1>Sense, like the time you told me the CEO of

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<v Speaker 1>Vegemite was a huge fan of the show and wanted

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<v Speaker 1>to send us a lifetime supply of vegemite.

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<v Speaker 2>That is, that's a good example of a lie, yep.

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<v Speaker 1>But from what you're describing, these are fairly like harmless lies, right,

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<v Speaker 1>So is a lesson that lying isn't necessarily so bad.

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<v Speaker 2>I do like that that's your conclusion. I mean, the

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<v Speaker 2>lesson isn't quite that simple. Like, It's a highly complex

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<v Speaker 2>form of social interaction that can serve many different purposes,

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<v Speaker 2>and so lies can range from lighthearted and funny to

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<v Speaker 2>of course malicious to downright dangerous, depending on the intention

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<v Speaker 2>behind them and the cultural context too. So people have

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<v Speaker 2>been trying to understand lying for thousands of years, and

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<v Speaker 2>it definitely merits more research or at least a podcast episode,

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<v Speaker 2>I'd say.

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<v Speaker 1>So, will I do have something to confess?

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<v Speaker 2>Okay, I'm nervous.

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<v Speaker 1>I read that University of Wisconsin the study last week,

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<v Speaker 1>and I just pretended I didn't know about it, so

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<v Speaker 1>this show would sound better.

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<v Speaker 2>Oh man, well, you know what I actually was lying too,

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<v Speaker 2>because I knew that you had read the University of

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<v Speaker 2>Wisconsin study and I pretended that I didn't. So it's

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<v Speaker 2>just like this to an interesting start. But actually it's

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<v Speaker 2>the perfect way to kick off an episode about lying.

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<v Speaker 2>There is a whole lot to talk about, and I

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<v Speaker 2>guarantee from this point forward we will be one hundred

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<v Speaker 2>percent truthful.

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<v Speaker 3>So let's dive in.

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<v Speaker 2>Hey there, podcast listeners, welcome to part time genius. I'm

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<v Speaker 2>Will Pearson, and as always, I'm joined by my good

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<v Speaker 2>friend Mangesh hot ticketter and over there in the booth

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<v Speaker 2>waving a red hot poker, that's our pal and producer

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<v Speaker 2>Dylan fig and he's actually waving it pretty aggressively. I'm

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<v Speaker 2>not really sure what he's doing, but it looks a

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<v Speaker 2>little bit dangerous. If I'm being honest, I.

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<v Speaker 1>Am glad that he's wearing oven mits at least, But

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<v Speaker 1>believe it or not, I think I know what he's

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<v Speaker 1>trying to demonstrate it. So, okay. Back in the Middle

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<v Speaker 1>eight lying was considered a terrible sin, and people, specifically

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<v Speaker 1>Christian people, believe that the only way to know if

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<v Speaker 1>someone was lying was by testing them with a trial

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<v Speaker 1>by ordeal. So, in other words, the accused was put

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<v Speaker 1>through a physical challenge, and, according to the logic at

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<v Speaker 1>the time, if they were honest, God would prevent them

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<v Speaker 1>from getting hurt. Now, one of the ordeals was touching

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<v Speaker 1>the person's tongue to a red hot poker. Obviously, this

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<v Speaker 1>resulted in a lot of burnt tongues, which was seen

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<v Speaker 1>as proof of dishonesty.

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<v Speaker 2>Yikes. All right, well, thank you Dylan for that terrifying visual.

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<v Speaker 2>It is not common that we see Dylan looking terrifying

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<v Speaker 2>as one of the nicest humans on the planet. But

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<v Speaker 2>good job there, Dylan. All right, So Mengo, it sounds

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<v Speaker 2>like people took lying very seriously back then.

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<v Speaker 1>They definitely did so. Other trials by ordeal included walking

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<v Speaker 1>over burning coals and being forced to swallow poison. And

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<v Speaker 1>if you're thinking, wow, that seems kind of extreme, this

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<v Speaker 1>actually all traces back to Saint Augustine. He wrote a

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<v Speaker 1>famous treatise on lying called Online and Augustine argued that

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<v Speaker 1>lying is like a disease. It supposedly like destroys your

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<v Speaker 1>integrity and puts you in direct opposition to God. He's

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<v Speaker 1>also the guy who came up with the idea that

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<v Speaker 1>if you always tell the truth, God will actually swoop

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<v Speaker 1>in to protect you from the harm. But medieval Europe

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<v Speaker 1>didn't invent the idea of testing for truth. They just

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<v Speaker 1>kind of took it to this new, more brutal level.

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<v Speaker 1>In ancient China, accused liars had to chew a mouthful

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<v Speaker 1>of dry rice while someone recited the accusations against them,

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<v Speaker 1>and then they'd spit the rice out, and if it

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<v Speaker 1>seemed too dry when they spit it out because of

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<v Speaker 1>their dry mouth from nervousness. Then that was considered proof

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<v Speaker 1>that they had lied.

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<v Speaker 2>What a weird way to like test if somebody's lying.

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<v Speaker 1>Yeah, these early lie detectors were very, very ineffective, but

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<v Speaker 1>I guess it shows that concern about lying is practically universal. Wait,

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<v Speaker 1>this ancient Hindu text, the yard Javeda, and it dates

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<v Speaker 1>lying about their allegiance. So it says, quote, a person

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<v Speaker 1>who intends to poison food may be recognized. He does

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<v Speaker 1>not answer questions, or they are evasive answers. He speaks nonsense,

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<v Speaker 1>rubs the great toe along the ground and shivers. His

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<v Speaker 1>face is discolored. He rubs the roots of his hair

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<v Speaker 1>with his fingers, and he tries by every means to

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<v Speaker 1>leave the house.

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<v Speaker 2>It kind of feels like they would not be very

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<v Speaker 2>good mercenaries if they're doing all that stuff.

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<v Speaker 1>I know. But this gets to something really interesting, which

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<v Speaker 1>is that throughout history people have believed that observing someone's

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<v Speaker 1>nonverbal behaviors, like their cues of things like fidgeting or

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<v Speaker 1>rubbing their nose, that's an easy way to tell if

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<v Speaker 1>they're lying. So you don't really need the hot pokers

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<v Speaker 1>or the vials of poison, I guess.

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<v Speaker 2>And that's basically the idea behind lie detectors looking for

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<v Speaker 2>those sorts of clues.

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<v Speaker 1>Right, yeah, So modern light detectors or polygraphs were invented

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<v Speaker 1>in the early nineteen hundreds, but some of the technology

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<v Speaker 1>they use was developed in the eighteen hundreds, and all

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<v Speaker 1>they really do is measure changes in certain vital signs,

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<v Speaker 1>including things like blood pressure, breathing, perspiration. And although they're

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<v Speaker 1>still used by law enforcement and government agencies, they're widely

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<v Speaker 1>considered a pseudoscience. And that's because the physiological changes they

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<v Speaker 1>measure it can be triggered by lots of things like

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<v Speaker 1>not just the stress of lying.

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<v Speaker 2>Well you think about it, like the fear of being arrested,

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<v Speaker 2>or stressed from being interrogated.

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<v Speaker 1>Right. In fact, the ACLU has opposed the use of

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<v Speaker 1>polygraph machines for decades, saying they don't work and they're

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<v Speaker 1>a violation of people's privacy rights. And remember, the machine

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<v Speaker 1>itself doesn't offer any conclusions. It just kind of records

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<v Speaker 1>this data for people. But this is the part I

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<v Speaker 1>didn't realize. It's that a human polygraph examiner actually has

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<v Speaker 1>to interpret that data to decide what it means, Like

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<v Speaker 1>is that a normal spike in sweating because the room

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<v Speaker 1>is hot, or does it indicate a lie? Which means

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<v Speaker 1>the results of a polygraph test can actually be tainted

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<v Speaker 1>by human bias, I.

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<v Speaker 2>Mean, like crazy bias. It does feel like it's just

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<v Speaker 2>so weird that in the twenty first century we're still

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<v Speaker 2>using what seems like the same light detection concepts ancient people,

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<v Speaker 2>that we just exchanged the dry rice for some sort

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<v Speaker 2>of fancy machine. I guess, yeah, pretty much. All right, Well,

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<v Speaker 2>you know, regardless of what goes on physically, telling a

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<v Speaker 2>lot does require a whole bunch of complicated brain activity.

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<v Speaker 2>Like first you have to come up with the lie

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<v Speaker 2>and mentally detach yourself from the truth. Then you have

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<v Speaker 2>to choose your words and behaviors carefully. Is to sell

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<v Speaker 2>the lie and avoid suspicion. And that requires understanding what

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<v Speaker 2>your audience knows now and then making guesses about what

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<v Speaker 2>they might discover later. Then you have to process the

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<v Speaker 2>response to the initial lie and spin out mora lies

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<v Speaker 2>is you need to back yourself up. The scientific term

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<v Speaker 2>for all of this is called cognitive load.

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<v Speaker 1>That is so funny, like it feels like lying comes

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<v Speaker 1>so naturally at this point and you need to write,

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<v Speaker 1>but like it sounds exhausting when you put it that way.

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<v Speaker 1>So does this mean like there's a specific area of

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<v Speaker 1>the brain that controls our ability to lie?

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<v Speaker 2>You know, Actually it's the opposite of this, because there's

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<v Speaker 2>this heavy cognitive load. Lying involves multiple areas of the

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<v Speaker 2>brain really working together. So these are areas responsible for

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<v Speaker 2>critical stuff like self awareness and social cognition. And one

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<v Speaker 2>thing that really fast sates me is the fact that

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<v Speaker 2>lyne can actually change our memories. That's because memories aren't

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<v Speaker 2>set in stone, and so the way we remember something

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<v Speaker 2>can be distorted over time, and if a lie is

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<v Speaker 2>repeated often enough the truth is then suppressed. It can

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<v Speaker 2>actually distort our memory of an event.

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<v Speaker 1>It also explains a lot about history and also like

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<v Speaker 1>collective memories.

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<v Speaker 2>Right, it really does.

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<v Speaker 1>Yeah.

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<v Speaker 2>I mean you might be wondering how and when do

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<v Speaker 2>we develop the ability to lie? And it turns out

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<v Speaker 2>there's a whole body of research about little kids and lying,

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<v Speaker 2>and we're going to chat more about all of that

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<v Speaker 2>right after a quick break.

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<v Speaker 1>Okay, Well, so I know you've done a ton of

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<v Speaker 1>research about kids' brains and how they developed the ability

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<v Speaker 1>to lie. But first I have to ask, like, did

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<v Speaker 1>you tell lies when you were a kid or you know,

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<v Speaker 1>can you remember what your kids first lies were? You know?

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<v Speaker 2>I I know that I did. I don't remember a

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<v Speaker 2>whole lot of things specifically, but I remember that my

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<v Speaker 2>lies that I would tell were usually just like ridiculous

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<v Speaker 2>stories like coming in from playing outside or something and

0:12:13.960 --> 0:12:17.600
<v Speaker 2>then just making up some absurd story that probably deep

0:12:17.640 --> 0:12:19.959
<v Speaker 2>down I felt like my parents knew that I was lying,

0:12:20.080 --> 0:12:23.360
<v Speaker 2>but I'd still go for it anyway. But how about you?

0:12:24.080 --> 0:12:28.200
<v Speaker 1>Uh? Yeah, I remember like being four and telling my

0:12:28.280 --> 0:12:31.280
<v Speaker 1>mom that I went to see Superman at the movie

0:12:31.360 --> 0:12:33.720
<v Speaker 1>theater and like pretending to fly around like it, but

0:12:33.720 --> 0:12:35.680
<v Speaker 1>I'd actually seen Return of the Jedi, And when she

0:12:35.720 --> 0:12:41.520
<v Speaker 1>found out, she was upset not be excited. See Superman

0:12:41.640 --> 0:12:44.080
<v Speaker 1>just because she thought this like innocent kid could never

0:12:44.200 --> 0:12:44.960
<v Speaker 1>lie to her, you know.

0:12:45.360 --> 0:12:48.560
<v Speaker 2>Ah, yeah, that's a heartbreaking moment for mom.

0:12:48.880 --> 0:12:51.959
<v Speaker 1>Ruby actually had an amazing first lie that I remember.

0:12:52.080 --> 0:12:54.439
<v Speaker 1>Like Ruby was also about four at this time, and

0:12:54.720 --> 0:12:58.080
<v Speaker 1>Henriett had a birthday party at his school and so

0:12:58.679 --> 0:13:00.520
<v Speaker 1>Ruby was like, oh, yeah, we had hake at my

0:13:00.679 --> 0:13:03.160
<v Speaker 1>school too. I was like, oh, was there a birthday party?

0:13:03.320 --> 0:13:07.040
<v Speaker 1>And we was like no, no, no birthday party. And

0:13:07.720 --> 0:13:09.400
<v Speaker 1>I said, oh yeah, then then why was that cake?

0:13:09.600 --> 0:13:13.679
<v Speaker 1>And we was like, uh the classroom anniversary. It was

0:13:13.720 --> 0:13:16.560
<v Speaker 1>like a classroom niverse and like can I can I

0:13:16.600 --> 0:13:19.199
<v Speaker 1>text your teachers to find out about this classroomnniversary? And

0:13:19.240 --> 0:13:20.840
<v Speaker 1>we was like no, no, no, they don't.

0:13:20.679 --> 0:13:21.280
<v Speaker 2>Like the text.

0:13:21.760 --> 0:13:26.880
<v Speaker 1>And so I said, you know, oh so, uh so

0:13:27.160 --> 0:13:30.360
<v Speaker 1>did you sing the traditional classroom anniversary song? And we

0:13:30.400 --> 0:13:33.480
<v Speaker 1>was like yeah, and I said, oh would you sing it?

0:13:34.040 --> 0:13:36.760
<v Speaker 1>And Ruby, without like skipping a be goes, it's a

0:13:36.760 --> 0:13:41.280
<v Speaker 1>classroom manniversary. It's a classroom manniversary. We do it in

0:13:41.320 --> 0:13:42.200
<v Speaker 1>the big building.

0:13:43.200 --> 0:13:46.160
<v Speaker 2>Oh yeah, I heard that one. That's that is a classic.

0:13:46.200 --> 0:13:47.320
<v Speaker 2>That's pretty amazing. Ruby.

0:13:48.360 --> 0:13:52.600
<v Speaker 1>So anyway, I think it's time to get to the science.

0:13:52.640 --> 0:13:54.200
<v Speaker 1>So let's let's get to it.

0:13:54.200 --> 0:13:56.040
<v Speaker 2>I don't know, I feel like it's time for more songs,

0:13:56.280 --> 0:13:58.160
<v Speaker 2>so let's do more of that, all right. Well, the

0:13:58.240 --> 0:14:01.360
<v Speaker 2>general consensus is that kids start lying when they're about

0:14:01.400 --> 0:14:04.080
<v Speaker 2>two or three years old, and usually they do it

0:14:04.080 --> 0:14:06.360
<v Speaker 2>when they've done something that they know they shouldn't do,

0:14:06.520 --> 0:14:09.080
<v Speaker 2>but you know, their brains aren't sophisticated enough to take

0:14:09.080 --> 0:14:12.160
<v Speaker 2>that extra step of thinking, like will the person I'm

0:14:12.160 --> 0:14:15.080
<v Speaker 2>talking to actually believe what I'm saying? And so you

0:14:15.120 --> 0:14:18.280
<v Speaker 2>get situations like a toddler standing there covered in paint

0:14:18.640 --> 0:14:20.720
<v Speaker 2>and you say, did you open the paint? And they,

0:14:20.760 --> 0:14:21.960
<v Speaker 2>of course deny it.

0:14:22.520 --> 0:14:26.640
<v Speaker 1>So at what age does this start to change?

0:14:27.040 --> 0:14:30.480
<v Speaker 2>Usually around four they start to take the listener's perspective

0:14:30.520 --> 0:14:34.160
<v Speaker 2>into account, and there's something psychologists called the theory of mind,

0:14:34.520 --> 0:14:37.440
<v Speaker 2>which is the ability to reason about other people's mental

0:14:37.480 --> 0:14:40.640
<v Speaker 2>states and then act accordingly. So the kid realizes that

0:14:40.720 --> 0:14:43.360
<v Speaker 2>you can see the paint and you'll be wondering how

0:14:43.360 --> 0:14:45.880
<v Speaker 2>that paint got there, and so they might say something like,

0:14:46.040 --> 0:14:48.160
<v Speaker 2>you know, my brother did it, which is a nice try,

0:14:48.240 --> 0:14:51.920
<v Speaker 2>of course, but maybe the brothers been upstairs all day.

0:14:52.480 --> 0:14:55.640
<v Speaker 1>So they're close to getting this lie right, but there's

0:14:55.640 --> 0:14:56.840
<v Speaker 1>still some holes in the story.

0:14:57.400 --> 0:15:00.280
<v Speaker 2>Yeah, usually there are. It actually just is this side

0:15:00.320 --> 0:15:03.200
<v Speaker 2>note reminds me of our good friend Adam that talked

0:15:03.200 --> 0:15:07.120
<v Speaker 2>about a high school experience when he was sitting next

0:15:07.120 --> 0:15:09.880
<v Speaker 2>to a girl that he had a crush on and

0:15:09.960 --> 0:15:13.840
<v Speaker 2>he sneezed into his hands. She looks over at him.

0:15:14.280 --> 0:15:16.960
<v Speaker 2>He clearly has snot all in his hands, and he

0:15:17.080 --> 0:15:19.120
<v Speaker 2>just looks at her and he says, it wasn't me.

0:15:19.280 --> 0:15:22.840
<v Speaker 1>Do you remember this story, Yes, it's pretty great.

0:15:22.920 --> 0:15:25.680
<v Speaker 2>I just thought that was such a great response. Anyway,

0:15:26.120 --> 0:15:29.640
<v Speaker 2>So things really start to change around seven or eight,

0:15:29.680 --> 0:15:32.000
<v Speaker 2>and that's when they can account for a wider range

0:15:32.040 --> 0:15:35.480
<v Speaker 2>of facts and contexts like in the lie. So maybe

0:15:35.520 --> 0:15:37.840
<v Speaker 2>they say, you know, my brother did it, and you say,

0:15:37.880 --> 0:15:40.240
<v Speaker 2>but he's in his room, And then a slightly older

0:15:40.320 --> 0:15:43.640
<v Speaker 2>kid has the capacity to react with something like he

0:15:43.720 --> 0:15:45.480
<v Speaker 2>came down for a snack and he was playing with

0:15:45.520 --> 0:15:47.400
<v Speaker 2>the paint, but then he went back upstairs, you know,

0:15:47.520 --> 0:15:49.520
<v Speaker 2>just taking it to another level.

0:15:49.560 --> 0:15:51.960
<v Speaker 1>Really, it is wild to think of little kids like

0:15:52.160 --> 0:15:54.440
<v Speaker 1>almost like new versions of AI, Like they just keep

0:15:54.440 --> 0:15:55.880
<v Speaker 1>getting told better at lying.

0:15:56.800 --> 0:15:58.800
<v Speaker 2>Yeah, yeah, it's a good way to think about it

0:15:58.880 --> 0:16:01.280
<v Speaker 2>like that. That training over time, and it's even more

0:16:01.280 --> 0:16:03.600
<v Speaker 2>whild to realize that this is something parents have known

0:16:03.680 --> 0:16:07.080
<v Speaker 2>about for a long time. Actually, Charles Darwin wrote about

0:16:07.080 --> 0:16:10.720
<v Speaker 2>toddler liars after doing some observational research to his own kids.

0:16:11.000 --> 0:16:13.440
<v Speaker 2>This was, of course, back in the eighteen forties. So

0:16:13.480 --> 0:16:15.560
<v Speaker 2>what happened is one day he caught his two and

0:16:15.560 --> 0:16:17.560
<v Speaker 2>a half year old son coming out of the dining

0:16:17.640 --> 0:16:21.240
<v Speaker 2>room with something very obviously wrapped up in a pinafore.

0:16:21.760 --> 0:16:23.960
<v Speaker 2>And this is, you know, a dress like garment. And

0:16:24.080 --> 0:16:26.920
<v Speaker 2>Darwin says, hey, buddy, what do you got there? And

0:16:26.960 --> 0:16:29.760
<v Speaker 2>the kids like nothing, go away, and so Darwin checks

0:16:29.760 --> 0:16:31.840
<v Speaker 2>and it turns out he'd stolen a.

0:16:31.840 --> 0:16:35.680
<v Speaker 1>Pickle, the old pickle and a pinafore.

0:16:35.800 --> 0:16:39.160
<v Speaker 2>Bit yeah, you know, the whole bit there. But the

0:16:39.240 --> 0:16:42.640
<v Speaker 2>point is there's ample evidence that very young children have

0:16:42.760 --> 0:16:46.640
<v Speaker 2>the executive functions needed for lying. More complicated skills like

0:16:46.680 --> 0:16:50.120
<v Speaker 2>memory and inhibition control. They develop a little bit later,

0:16:50.160 --> 0:16:53.800
<v Speaker 2>and that makes their lies more elaborate and believable. And

0:16:53.880 --> 0:16:56.920
<v Speaker 2>what researchers have found is that kids with strong cognitive

0:16:56.920 --> 0:17:00.680
<v Speaker 2>abilities actually make better liars. So in a weird way,

0:17:00.760 --> 0:17:04.080
<v Speaker 2>lying as a sign of reaching important developmental milestones.

0:17:04.359 --> 0:17:06.040
<v Speaker 1>I like the idea of grade school is giving out

0:17:06.040 --> 0:17:11.440
<v Speaker 1>stickers for lying. You know, so the only thing cuter

0:17:11.520 --> 0:17:14.800
<v Speaker 1>than a toddler telling whoppers is an animal who's trying

0:17:14.800 --> 0:17:15.280
<v Speaker 1>to trick you.

0:17:15.560 --> 0:17:18.200
<v Speaker 2>So were you suggesting that animals also lie?

0:17:18.520 --> 0:17:20.560
<v Speaker 1>It kind of depends on what you mean by lie.

0:17:20.680 --> 0:17:23.280
<v Speaker 1>So usually when we say someone is lying, we mean

0:17:23.320 --> 0:17:27.480
<v Speaker 1>they're knowingly making a false statement with the intent to deceive. Right, So,

0:17:27.680 --> 0:17:30.480
<v Speaker 1>animals can't talk, obviously, so they don't make statements the

0:17:30.480 --> 0:17:33.600
<v Speaker 1>way we do. But if you expand this definition to

0:17:33.640 --> 0:17:37.480
<v Speaker 1>include behaviors, then you know animals do engage in deceptive

0:17:37.480 --> 0:17:40.320
<v Speaker 1>behavior all the time. So if you think about possums

0:17:40.359 --> 0:17:42.960
<v Speaker 1>when they're threatened, they pretend to be dead. I also

0:17:43.040 --> 0:17:46.199
<v Speaker 1>read about this bird called the forktailed drongo, which is

0:17:46.280 --> 0:17:49.560
<v Speaker 1>native to the Kalahari Desert in Africa, and when it

0:17:49.600 --> 0:17:52.280
<v Speaker 1>sees a predator like an eagle over ahead, it lets

0:17:52.280 --> 0:17:56.320
<v Speaker 1>out a squeaky alarm call. Now, other desert animals, including meerkats,

0:17:56.359 --> 0:17:58.720
<v Speaker 1>have learned to hide when they hear this alarm as well,

0:17:59.000 --> 0:18:02.000
<v Speaker 1>But sometimes the drongo plays a trick. If it sees

0:18:02.000 --> 0:18:04.359
<v Speaker 1>a mere cat holding food it wants, maybe like a

0:18:04.440 --> 0:18:07.760
<v Speaker 1>nice juicy lizard, it starts squeaking the alarm, and the

0:18:07.760 --> 0:18:10.199
<v Speaker 1>mere cat drops the food and runs for cover, and

0:18:10.240 --> 0:18:12.280
<v Speaker 1>then the drongo swoops in and takes the meal.

0:18:12.720 --> 0:18:15.359
<v Speaker 2>Wow. I mean that definitely sounds like the bird equivalent

0:18:15.400 --> 0:18:17.679
<v Speaker 2>of making a fault statement with the intent to deceive,

0:18:17.760 --> 0:18:18.280
<v Speaker 2>don't you think?

0:18:18.480 --> 0:18:21.439
<v Speaker 1>Yeah? So Weirdly, it's the last part that people actually

0:18:21.480 --> 0:18:24.760
<v Speaker 1>disagree about whether or not there's intent. So clearly, the

0:18:24.840 --> 0:18:27.480
<v Speaker 1>drongo knows that if it makes the alarm call, the

0:18:27.560 --> 0:18:29.800
<v Speaker 1>mere cat will run, and the possum knows that if

0:18:29.800 --> 0:18:32.800
<v Speaker 1>it lies really still, its predator may walk away. But

0:18:32.840 --> 0:18:37.200
<v Speaker 1>some scientists actually call this functional deception, not intentional deception,

0:18:37.800 --> 0:18:40.159
<v Speaker 1>and they argue that the intent depends on something you

0:18:40.160 --> 0:18:42.840
<v Speaker 1>mentioned a few minutes ago, the theory of mind. And

0:18:43.119 --> 0:18:45.439
<v Speaker 1>it's just not clear that animals have the ability to

0:18:45.480 --> 0:18:47.720
<v Speaker 1>think about what other creatures know or believe.

0:18:49.160 --> 0:18:51.800
<v Speaker 2>So I guess, in other words, the drongo isn't thinking

0:18:51.840 --> 0:18:53.960
<v Speaker 2>if I yell, the dumb meer cat will believe there's

0:18:54.000 --> 0:18:56.680
<v Speaker 2>an eagle. It just thinks when I yell, the mere

0:18:56.760 --> 0:18:57.320
<v Speaker 2>cat runs.

0:18:57.520 --> 0:19:00.320
<v Speaker 1>Yeah, pretty much. But there have been some stuff that

0:19:00.359 --> 0:19:03.560
<v Speaker 1>suggest animals, particularly great apes, may have a theory of mind,

0:19:03.720 --> 0:19:07.040
<v Speaker 1>and in one experiment, researchers gave an ape eye trackers

0:19:07.240 --> 0:19:09.719
<v Speaker 1>so they could tell where it was looking. And then,

0:19:09.800 --> 0:19:12.200
<v Speaker 1>and I swear I'm not making this up, an assistant

0:19:12.240 --> 0:19:15.600
<v Speaker 1>in an ape costume ran into the cage area puts

0:19:15.600 --> 0:19:18.359
<v Speaker 1>an object under one of the two boxes on the floor.

0:19:18.800 --> 0:19:21.880
<v Speaker 1>A researcher pretends to watch this happen and then leaves

0:19:21.920 --> 0:19:26.639
<v Speaker 1>the room. And then when this assistant in ape costume

0:19:27.160 --> 0:19:30.080
<v Speaker 1>is there alone, he puts the object under the other

0:19:30.119 --> 0:19:32.240
<v Speaker 1>box for a moment, and then he picks it up

0:19:32.280 --> 0:19:35.239
<v Speaker 1>and runs away. So when the researcher comes back and

0:19:35.320 --> 0:19:38.320
<v Speaker 1>reaches for the boxes, the ape looks at him and

0:19:38.359 --> 0:19:40.680
<v Speaker 1>then stared at the first box as if he knew

0:19:40.720 --> 0:19:44.520
<v Speaker 1>the researcher was expecting the object to be there, which means, like,

0:19:44.600 --> 0:19:46.960
<v Speaker 1>you know, the ape is picking up on all these

0:19:47.000 --> 0:19:50.119
<v Speaker 1>cues and is more aware of others' behaviors. And actually

0:19:50.119 --> 0:19:51.800
<v Speaker 1>there's video of this on YouTube.

0:19:52.560 --> 0:19:54.960
<v Speaker 2>Oh man, I've got to see this. It's such a

0:19:55.000 --> 0:19:57.679
<v Speaker 2>fascinating idea. And I also love the idea that like

0:19:57.720 --> 0:20:00.040
<v Speaker 2>a guy with several PhDs having to run around and

0:20:00.040 --> 0:20:02.320
<v Speaker 2>then a costume pretending to be an ape. So this

0:20:02.480 --> 0:20:05.159
<v Speaker 2>is definitely something I'm going to watch all right, So

0:20:05.200 --> 0:20:07.320
<v Speaker 2>to switch gears here, Mango, I want to tell you

0:20:07.359 --> 0:20:10.920
<v Speaker 2>about lying and culture clashes. So you mentioned earlier that

0:20:11.040 --> 0:20:14.120
<v Speaker 2>lying means knowingly making a false statement with the intention

0:20:14.359 --> 0:20:17.879
<v Speaker 2>to deceive. That's a good definition, but some types of

0:20:17.920 --> 0:20:21.919
<v Speaker 2>deception aren't so clear cut, and the context really does matter.

0:20:22.400 --> 0:20:26.199
<v Speaker 2>So omitting information or being purposely ambiguous, those can be

0:20:26.400 --> 0:20:29.600
<v Speaker 2>types of lies. Even accurate information can be used in

0:20:29.640 --> 0:20:33.439
<v Speaker 2>misleading ways. And the way we interpret these nuances and

0:20:33.480 --> 0:20:36.160
<v Speaker 2>the way we assess other people's honesty, it really comes

0:20:36.200 --> 0:20:38.760
<v Speaker 2>down to the norms that we've learned from our culture.

0:20:39.640 --> 0:20:42.320
<v Speaker 1>You know, this is a great quote by Montaigne that

0:20:43.080 --> 0:20:46.240
<v Speaker 1>Mary actually pointed me too, and it goes, quote the

0:20:46.320 --> 0:20:49.840
<v Speaker 1>reverse of truth has one hundred thousand forms, And it

0:20:49.880 --> 0:20:51.679
<v Speaker 1>sounds like that, right, Like there's so many ways lie

0:20:51.760 --> 0:20:53.480
<v Speaker 1>in just like one way to simply tell the truth.

0:20:53.520 --> 0:20:56.200
<v Speaker 1>But can you give me some examples of what you're

0:20:56.200 --> 0:20:56.920
<v Speaker 1>thinking about here?

0:20:57.640 --> 0:20:59.960
<v Speaker 2>Yeah, for sure. But by the way, Mary, great quo.

0:21:01.119 --> 0:21:04.399
<v Speaker 2>That's pretty awesome. All right. So, according to research, highly

0:21:04.440 --> 0:21:08.080
<v Speaker 2>individualistic cultures like the United States, they see lies very

0:21:08.119 --> 0:21:11.840
<v Speaker 2>differently than more collective as cultures like many in Asia. So,

0:21:11.920 --> 0:21:15.040
<v Speaker 2>for example, an American business manager might consider it dishonest

0:21:15.040 --> 0:21:18.920
<v Speaker 2>to withhold negative feedback from an employee, even if it's harsh.

0:21:18.960 --> 0:21:22.040
<v Speaker 2>But a Japanese manager might not see it that way

0:21:22.080 --> 0:21:25.760
<v Speaker 2>at all, because they're considering potential harm to an employee

0:21:25.800 --> 0:21:28.879
<v Speaker 2>and to their relationship. So for them, that's part of

0:21:28.920 --> 0:21:32.240
<v Speaker 2>being a trustworthy person. So maybe they downplay the bad

0:21:32.280 --> 0:21:35.800
<v Speaker 2>review or delivered an indirect fashion. But if you imagine

0:21:35.840 --> 0:21:39.240
<v Speaker 2>an American employee getting vague feedback might make them think,

0:21:39.640 --> 0:21:40.679
<v Speaker 2>what are they hiding from me?

0:21:41.160 --> 0:21:44.240
<v Speaker 1>Yeah, and I guess in both scenarios, people are they're

0:21:44.320 --> 0:21:46.600
<v Speaker 1>trying to do the right thing, and there's no right,

0:21:46.840 --> 0:21:48.640
<v Speaker 1>there's no actually intent to deceive.

0:21:48.359 --> 0:21:51.119
<v Speaker 2>There No, that's exactly right. I mean this extends to

0:21:51.160 --> 0:21:53.960
<v Speaker 2>speech patterns too, So most Native English speakers in the

0:21:54.040 --> 0:21:57.359
<v Speaker 2>United States consider clear direct language to be a sign

0:21:57.440 --> 0:22:00.639
<v Speaker 2>of honesty, and we're a little more suspicious of verbal

0:22:00.720 --> 0:22:04.359
<v Speaker 2>meandering or someone using a lot of euphemisms. But that's

0:22:04.480 --> 0:22:08.119
<v Speaker 2>just how some cultures communicate. Meanwhile, they might interpret our

0:22:08.160 --> 0:22:11.239
<v Speaker 2>bluntness as bad manners. And you know, of course, then

0:22:11.280 --> 0:22:14.320
<v Speaker 2>there's body language. So in the US, holding eye contact

0:22:14.400 --> 0:22:17.840
<v Speaker 2>is usually considered proof that someone's being honest, but in

0:22:17.920 --> 0:22:19.840
<v Speaker 2>other parts of the world that can actually be seen

0:22:19.880 --> 0:22:21.440
<v Speaker 2>as rude or aggressive.

0:22:22.000 --> 0:22:24.719
<v Speaker 1>Yeah, well this is a podcast, so so you all

0:22:24.760 --> 0:22:26.560
<v Speaker 1>can't see my eyes, but I'm going to use the

0:22:26.680 --> 0:22:30.320
<v Speaker 1>straightforward American approach to honest communication. Right now, it is

0:22:30.400 --> 0:22:32.760
<v Speaker 1>time for an ad break so we can make money

0:22:32.760 --> 0:22:34.880
<v Speaker 1>and keep the show going. That's how honest I'm being.

0:22:34.960 --> 0:22:37.320
<v Speaker 1>But we'll be back soon.

0:22:52.600 --> 0:22:54.720
<v Speaker 2>Welcome back to Part Time Genius, where we're learning the

0:22:54.800 --> 0:22:57.960
<v Speaker 2>truth about lies. All right, so, Mango, what have you

0:22:57.960 --> 0:22:58.760
<v Speaker 2>got for us next?

0:22:59.480 --> 0:23:01.800
<v Speaker 1>So far, we've mostly been talking about lies at a

0:23:01.800 --> 0:23:04.880
<v Speaker 1>personal level, but lying isn't just about how we relate

0:23:04.920 --> 0:23:07.960
<v Speaker 1>to one another. It can also have legal consequences, including

0:23:08.000 --> 0:23:11.280
<v Speaker 1>what we call fraud. So under US law, fraud can

0:23:11.320 --> 0:23:14.960
<v Speaker 1>be a civil or a criminal matter, depending on the situation,

0:23:15.520 --> 0:23:19.159
<v Speaker 1>and in civil cases is defined as a misrepresentation of fact,

0:23:19.359 --> 0:23:23.320
<v Speaker 1>either intentional or negligent, and that causes injury or harm

0:23:23.359 --> 0:23:27.639
<v Speaker 1>to another person. Criminal fraud usually falls into specific categories

0:23:27.640 --> 0:23:30.080
<v Speaker 1>that have their own definition, So you think about things

0:23:30.119 --> 0:23:34.080
<v Speaker 1>like financial fraud or insurance fraud, or even something like forgery. Right,

0:23:34.720 --> 0:23:37.840
<v Speaker 1>And although none of this is new, technology has caused

0:23:37.880 --> 0:23:41.040
<v Speaker 1>the scale of criminal fraud to explode in recent years.

0:23:41.400 --> 0:23:44.000
<v Speaker 1>So just to give you a sense, from twenty eighteen

0:23:44.160 --> 0:23:47.840
<v Speaker 1>to twenty twenty two, the US federal government lost between

0:23:47.880 --> 0:23:50.919
<v Speaker 1>two hundred and thirty three billion and five hundred and

0:23:50.920 --> 0:23:54.679
<v Speaker 1>twenty one billion dollars each year to fraud. And that

0:23:54.720 --> 0:23:57.920
<v Speaker 1>doesn't even count money lost at the state level. And

0:23:57.960 --> 0:24:01.240
<v Speaker 1>that's billion with a B like that is daggering. Yeah,

0:24:01.280 --> 0:24:04.439
<v Speaker 1>And if you thought those numbers were big. According to

0:24:04.520 --> 0:24:09.240
<v Speaker 1>the World Economic Forum, cybercrime, which often involves fraud, obviously

0:24:09.560 --> 0:24:13.800
<v Speaker 1>will cost the world ten point five trillion this year alone.

0:24:14.240 --> 0:24:17.480
<v Speaker 1>But even more than the economic impact, there are personal costs.

0:24:17.520 --> 0:24:19.879
<v Speaker 1>So you think about identity theft is one of the

0:24:19.880 --> 0:24:22.760
<v Speaker 1>most common types of cyber fraud, and in a survey

0:24:22.800 --> 0:24:26.000
<v Speaker 1>by the Identity Theft Resource Center, sixty percent of ID

0:24:26.200 --> 0:24:29.359
<v Speaker 1>theft victims found themselves struggling to cover their bills in

0:24:29.400 --> 0:24:33.720
<v Speaker 1>the aftermath of the incident, and sixteen percent reported feeling suicidal.

0:24:33.840 --> 0:24:35.520
<v Speaker 1>It's really a serious problem.

0:24:36.040 --> 0:24:38.560
<v Speaker 2>That is wild, all right. So when you say technology

0:24:38.640 --> 0:24:40.879
<v Speaker 2>is driving all this, what exactly mean by that?

0:24:41.440 --> 0:24:43.480
<v Speaker 1>So some of it's the obvious stuff, like we do

0:24:43.560 --> 0:24:47.000
<v Speaker 1>our banking online, we give out our email addresses, like candy.

0:24:47.119 --> 0:24:50.280
<v Speaker 1>We share personal information on social media and a lot

0:24:50.320 --> 0:24:52.919
<v Speaker 1>of us aren't great about checking privacy settings or changing

0:24:52.920 --> 0:24:56.560
<v Speaker 1>our passwords, so fraudsters have plenty of material to work with,

0:24:56.760 --> 0:24:59.080
<v Speaker 1>and they also have more points of entry to our

0:24:59.080 --> 0:25:01.960
<v Speaker 1>lives and our finance is now, but the World Economic

0:25:02.000 --> 0:25:05.800
<v Speaker 1>Forum reports that the biggest problem right now is generative AI.

0:25:06.320 --> 0:25:09.200
<v Speaker 1>So criminals are using AI language tools to crank out

0:25:09.200 --> 0:25:13.280
<v Speaker 1>phishing emails that seem really authentic. They're using AI image

0:25:13.320 --> 0:25:16.439
<v Speaker 1>generators to create deep fakes of people's faces that let

0:25:16.520 --> 0:25:21.040
<v Speaker 1>them pass identity verification checks. According to a recent FBI warning,

0:25:21.080 --> 0:25:24.240
<v Speaker 1>They're even using AI voice cloning to create deceptive audio

0:25:24.240 --> 0:25:28.040
<v Speaker 1>clips that quote impersonate a close relative in a crisis situation,

0:25:28.440 --> 0:25:32.680
<v Speaker 1>asking for immediate financial assistance or demanding a ransom.

0:25:33.040 --> 0:25:37.199
<v Speaker 2>So, I mean, this is obviously just terrifying, and I'm wondering, though,

0:25:37.240 --> 0:25:39.359
<v Speaker 2>before I throw my phone out the window, is there

0:25:39.480 --> 0:25:41.000
<v Speaker 2>anything I can do about this?

0:25:41.720 --> 0:25:43.760
<v Speaker 1>So, from a tech standpoint, there's been a lot of

0:25:43.760 --> 0:25:47.959
<v Speaker 1>interest in digital identity wallets like that would combine biometrics,

0:25:48.080 --> 0:25:51.199
<v Speaker 1>ID documents, personal information to create a secure log in

0:25:51.280 --> 0:25:54.679
<v Speaker 1>that you can use multiple places. Proponents say it's like

0:25:54.720 --> 0:25:57.520
<v Speaker 1>being asked to show your physical driver's license, so much

0:25:57.560 --> 0:26:01.159
<v Speaker 1>safer than easily hacked password. But civil liberties groups the

0:26:01.160 --> 0:26:03.320
<v Speaker 1>one that this could mean sacrificing privacy.

0:26:03.560 --> 0:26:04.800
<v Speaker 2>I thought you were just going to say something like

0:26:04.880 --> 0:26:06.720
<v Speaker 2>change your passwords. I was kind of hoping that was

0:26:06.720 --> 0:26:07.720
<v Speaker 2>where you were going with it.

0:26:07.960 --> 0:26:10.440
<v Speaker 1>I mean, you could do that too, You should do that, actually,

0:26:10.480 --> 0:26:13.359
<v Speaker 1>But the FBI has another tip that is so low tech,

0:26:13.480 --> 0:26:16.160
<v Speaker 1>it's kind of brilliant, and it's just create a secret

0:26:16.200 --> 0:26:18.639
<v Speaker 1>passphrase with your family and close friends. So if you

0:26:18.680 --> 0:26:21.040
<v Speaker 1>ever get a call that sounds like me asking you

0:26:21.080 --> 0:26:24.080
<v Speaker 1>to wire ten thousand dollars, you can ask for the

0:26:24.119 --> 0:26:25.240
<v Speaker 1>phrase to confirm it's me.

0:26:26.280 --> 0:26:28.760
<v Speaker 2>Woh, okay, that's a good idea, all right. With all

0:26:28.840 --> 0:26:32.120
<v Speaker 2>of this raises another question, and that's what makes someone

0:26:32.240 --> 0:26:35.560
<v Speaker 2>lie or commit fraud, Like, we all know it's wrong,

0:26:35.640 --> 0:26:38.760
<v Speaker 2>so why does it keep happening? So Dan Arielli is

0:26:38.760 --> 0:26:41.960
<v Speaker 2>a professor of psychology and behavioral economics at Duke, and

0:26:42.040 --> 0:26:44.080
<v Speaker 2>he's done a lot of research about this kind of thing.

0:26:44.560 --> 0:26:47.919
<v Speaker 2>So he pointed out that our entire legal system operates

0:26:47.920 --> 0:26:51.119
<v Speaker 2>on the theory of cost benefit analysis, Like if you

0:26:51.160 --> 0:26:54.439
<v Speaker 2>know there's a serious penalty for being dishonest. You'll decide

0:26:54.480 --> 0:26:56.720
<v Speaker 2>if it's worth it or not, and you won't do

0:26:56.800 --> 0:26:59.000
<v Speaker 2>it if you decide that it isn't. And the problem

0:26:59.000 --> 0:27:01.840
<v Speaker 2>here is that it's just not how lying works in

0:27:01.880 --> 0:27:04.840
<v Speaker 2>real life, and that's because humans have the ability to

0:27:05.040 --> 0:27:09.840
<v Speaker 2>rationalize dishonesty. So Arielli did this experiment with a vending machine.

0:27:10.119 --> 0:27:13.360
<v Speaker 2>He set the price mechanism to zero sense, but put

0:27:13.520 --> 0:27:16.840
<v Speaker 2>labels on the snack saying that each item costs seventy

0:27:16.920 --> 0:27:19.520
<v Speaker 2>five cents. He also taped a sign to the machine

0:27:19.520 --> 0:27:22.440
<v Speaker 2>that read, quote, if there's something wrong with this machine,

0:27:22.520 --> 0:27:25.280
<v Speaker 2>please call this number, and then he put his own

0:27:25.359 --> 0:27:26.160
<v Speaker 2>cell phone number.

0:27:26.440 --> 0:27:30.720
<v Speaker 1>That's clever. So what happened when people use the machine.

0:27:29.920 --> 0:27:32.040
<v Speaker 2>Well, they'd put their money in and the machine would

0:27:32.080 --> 0:27:35.560
<v Speaker 2>dispense multiple snacks and return all of their cash, and

0:27:35.640 --> 0:27:39.200
<v Speaker 2>not a single person called to report the malfunction, although

0:27:39.240 --> 0:27:43.040
<v Speaker 2>Arielli noted that nobody took more than four bags of

0:27:43.040 --> 0:27:46.120
<v Speaker 2>free candy either. So his theory is that people were

0:27:46.240 --> 0:27:50.800
<v Speaker 2>rationalizing their decision based on previous vending machine experiences, like

0:27:50.840 --> 0:27:53.240
<v Speaker 2>we've all had that situation where you put your money

0:27:53.240 --> 0:27:55.360
<v Speaker 2>in and it doesn't give you a snack, or as

0:27:55.400 --> 0:27:57.760
<v Speaker 2>he puts it, people were just kind of sorting out

0:27:57.800 --> 0:27:59.760
<v Speaker 2>the vending karma in the world, I guess.

0:28:00.200 --> 0:28:03.160
<v Speaker 1>I mean, that's pretty fascinating. Although obviously there's a big

0:28:03.160 --> 0:28:06.480
<v Speaker 1>difference between taking candy and committing identity theft.

0:28:06.800 --> 0:28:09.920
<v Speaker 2>Yeah, of course, but understanding the ways criminals make sense

0:28:09.960 --> 0:28:12.639
<v Speaker 2>of what they're doing could help stop fraud before it

0:28:12.680 --> 0:28:16.400
<v Speaker 2>even starts. So, for example, a Reli found that people

0:28:16.440 --> 0:28:19.560
<v Speaker 2>would behave more honestly if they spend time reflecting on

0:28:19.640 --> 0:28:22.959
<v Speaker 2>their personal morals or their ethics. So he tested this

0:28:23.040 --> 0:28:26.000
<v Speaker 2>by asking one group of people to list ten books

0:28:26.000 --> 0:28:29.000
<v Speaker 2>they read in high school and another group to recall

0:28:29.280 --> 0:28:32.960
<v Speaker 2>the Ten Commandments. Then he gave both groups reward based

0:28:33.000 --> 0:28:36.119
<v Speaker 2>tests that included opportunities to cheat, and he found that

0:28:36.160 --> 0:28:39.760
<v Speaker 2>people who thought about books engaged in widespread cheating, while

0:28:39.760 --> 0:28:42.680
<v Speaker 2>the Ten Commandments group did not cheat at all. So

0:28:42.720 --> 0:28:45.040
<v Speaker 2>this is a reminder, don't read kids, you know what

0:28:45.040 --> 0:28:48.800
<v Speaker 2>I mean. And so what's really interesting is that he

0:28:48.880 --> 0:28:52.480
<v Speaker 2>repeated the test with people who identified as atheists. Because

0:28:52.840 --> 0:28:54.880
<v Speaker 2>they didn't know the Ten Commandments. He just had them

0:28:54.920 --> 0:28:58.880
<v Speaker 2>swear on a Bible. After doing that, they still didn't cheat.

0:28:59.560 --> 0:29:02.160
<v Speaker 1>That is incredible. So well, we're almost at the end

0:29:02.160 --> 0:29:04.320
<v Speaker 1>of the episode, tell me the truth. Did you prepare

0:29:04.320 --> 0:29:05.320
<v Speaker 1>anything for the fact? Off?

0:29:05.520 --> 0:29:07.239
<v Speaker 2>I sure did, Mango, Let's get to it.

0:29:12.080 --> 0:29:15.520
<v Speaker 1>If there's one man whose name has become synonymous with dishonesty,

0:29:15.680 --> 0:29:18.240
<v Speaker 1>it is Charles Ponzi, and we've all heard his name,

0:29:18.320 --> 0:29:20.360
<v Speaker 1>but I thought we'd get into these stories. So Ponzi

0:29:20.520 --> 0:29:23.560
<v Speaker 1>was born in northern Italy in eighteen eighty two, and

0:29:23.600 --> 0:29:26.720
<v Speaker 1>apparently his family had at one time been pretty well off,

0:29:26.840 --> 0:29:28.680
<v Speaker 1>but by the time he came along, they had lost

0:29:28.680 --> 0:29:31.160
<v Speaker 1>their fortune. He tried going to university in Rome, but

0:29:31.240 --> 0:29:34.200
<v Speaker 1>dropped out and decided to take his chances in America Now.

0:29:34.280 --> 0:29:36.560
<v Speaker 1>Ponzi later claimed that he had set sail with two

0:29:36.680 --> 0:29:39.120
<v Speaker 1>hundred dollars in savings, most of which he lost on

0:29:39.200 --> 0:29:41.760
<v Speaker 1>the ship crossing the Atlantic because he got swindled by

0:29:41.800 --> 0:29:45.200
<v Speaker 1>a card sharp Once in the US, though, he bounced

0:29:45.200 --> 0:29:47.480
<v Speaker 1>around a series of jobs in low level crimes. But

0:29:47.600 --> 0:29:51.760
<v Speaker 1>in nineteen twenty he launched the scheme that made him famous. Basically,

0:29:52.000 --> 0:29:55.960
<v Speaker 1>there was this thing called an international reply coupon, which

0:29:56.080 --> 0:29:58.640
<v Speaker 1>was like a voucher many countries accepted in exchange for

0:29:58.720 --> 0:30:02.000
<v Speaker 1>local postage stamps. Ponzi realized that he could buy cheap

0:30:02.040 --> 0:30:05.120
<v Speaker 1>IRCs in Italy and exchange them for more expensive stance

0:30:05.160 --> 0:30:07.840
<v Speaker 1>in the US. As he put it in his memoir, quote,

0:30:07.880 --> 0:30:10.240
<v Speaker 1>the racket fell into my lap like a ripe apple.

0:30:10.600 --> 0:30:14.840
<v Speaker 1>It looked good, luscious. I examined it for flaws, found none,

0:30:14.960 --> 0:30:17.160
<v Speaker 1>and I had to bite. I wouldn't have been human

0:30:17.200 --> 0:30:20.720
<v Speaker 1>if I didn't. And just to be clear, that part

0:30:20.720 --> 0:30:23.960
<v Speaker 1>of the scheme was not illegal. It's just simple arbitrage,

0:30:24.000 --> 0:30:26.560
<v Speaker 1>which happens in the stock market all the time. The

0:30:26.640 --> 0:30:29.400
<v Speaker 1>problem was when he started tricking thousands of people into

0:30:29.440 --> 0:30:32.800
<v Speaker 1>investing in his operation, claiming they'd earn a fifty percent

0:30:32.920 --> 0:30:36.280
<v Speaker 1>return in ninety days. Now, every time an investor gave money,

0:30:36.400 --> 0:30:38.720
<v Speaker 1>he used it to pay off earlier investors. So people

0:30:38.720 --> 0:30:41.080
<v Speaker 1>thought they were getting huge returns and thought it was

0:30:41.120 --> 0:30:44.160
<v Speaker 1>all real. And in the first eight months of nineteen twenty,

0:30:44.360 --> 0:30:47.360
<v Speaker 1>Ponzi actually made fifteen million dollars, which is about two

0:30:47.400 --> 0:30:49.560
<v Speaker 1>hundred and thirty five million dollars in today's money. I

0:30:49.560 --> 0:30:51.280
<v Speaker 1>had no idea how much money he'd made.

0:30:51.680 --> 0:30:52.520
<v Speaker 2>That's huge.

0:30:52.680 --> 0:30:55.520
<v Speaker 1>It all came crashing down that August when Boston Post

0:30:55.560 --> 0:30:59.200
<v Speaker 1>Reporters launched an investigation that ended in eighty six counts

0:30:59.200 --> 0:31:01.440
<v Speaker 1>of mail fraud and a lengthy prison sentence.

0:31:02.120 --> 0:31:05.160
<v Speaker 2>All right, well, speaking of elaborate and profitable lies, the

0:31:05.200 --> 0:31:08.840
<v Speaker 2>FTC reports that in twenty twenty two, almost seventy thousand

0:31:08.880 --> 0:31:12.040
<v Speaker 2>people were the victims of romance scammers. Now, this is

0:31:12.080 --> 0:31:14.800
<v Speaker 2>a type of fraud that often begins on dating apps.

0:31:14.920 --> 0:31:17.480
<v Speaker 2>This is where someone lies about who they are, usually

0:31:17.520 --> 0:31:19.400
<v Speaker 2>in order to get you to send them money. And

0:31:19.440 --> 0:31:22.840
<v Speaker 2>it's an extra malicious form of cat fishing. Now, one

0:31:22.880 --> 0:31:25.400
<v Speaker 2>of the trickiest things for a catfisher to explain is

0:31:25.440 --> 0:31:28.520
<v Speaker 2>why they can't meet up in person. So, according to

0:31:28.520 --> 0:31:31.600
<v Speaker 2>the FTC, they'll often build a fake identity around a

0:31:31.720 --> 0:31:35.320
<v Speaker 2>job that keeps them far away. And among romance scammers,

0:31:35.360 --> 0:31:38.560
<v Speaker 2>the most popular lie is quote I'm stationed on a

0:31:38.560 --> 0:31:41.600
<v Speaker 2>military base in another country. But another one that comes

0:31:41.680 --> 0:31:44.440
<v Speaker 2>up a lot is I'm an offshore oil rig worker.

0:31:44.600 --> 0:31:46.120
<v Speaker 1>I mean, I think what's funny about that is it's

0:31:46.120 --> 0:31:48.960
<v Speaker 1>going to make online dating so hard for actual oil

0:31:49.080 --> 0:31:49.959
<v Speaker 1>rig workers.

0:31:50.240 --> 0:31:53.120
<v Speaker 2>Like every sure I didn't think about that. I feel

0:31:53.280 --> 0:31:56.080
<v Speaker 2>so bad for the rig workers just trying to get dates.

0:31:56.600 --> 0:31:59.360
<v Speaker 1>Anyway, I was curious where the word lie comes from,

0:31:59.400 --> 0:32:02.400
<v Speaker 1>and it turns out the term white lie is older

0:32:02.440 --> 0:32:06.160
<v Speaker 1>than I expected. The first known use occurred on April tenth,

0:32:06.360 --> 0:32:10.400
<v Speaker 1>fifteen sixty seven, when an English landowner named Ralph Adderley

0:32:10.480 --> 0:32:12.480
<v Speaker 1>wrote a letter to a friend describing his brother in

0:32:12.600 --> 0:32:15.280
<v Speaker 1>law by saying, quote, I do assure you he is

0:32:15.400 --> 0:32:19.600
<v Speaker 1>unsuspected of any untruth or other notable crime except a

0:32:19.600 --> 0:32:22.440
<v Speaker 1>white lie, which is taken for a small fault in

0:32:22.480 --> 0:32:23.080
<v Speaker 1>these parts.

0:32:23.880 --> 0:32:26.480
<v Speaker 2>And it's definitely sort of a compliment I think. But

0:32:27.200 --> 0:32:29.920
<v Speaker 2>all right, well, for our final fact, here's the story

0:32:29.920 --> 0:32:32.760
<v Speaker 2>of a lie that was anything but harmless because it

0:32:32.840 --> 0:32:36.320
<v Speaker 2>almost threw off decades of archaeological research. So it was

0:32:36.360 --> 0:32:39.280
<v Speaker 2>back in nineteen twelve you have this amateur fossil hunter

0:32:39.360 --> 0:32:43.000
<v Speaker 2>named Charles Dawson. He wrote to the British paleontologist Sir

0:32:43.200 --> 0:32:46.520
<v Speaker 2>Arthur Smith Woodward, and he was claiming he'd unearthed parts

0:32:46.560 --> 0:32:49.160
<v Speaker 2>of a human skull in Piltdown. This was a village

0:32:49.200 --> 0:32:52.680
<v Speaker 2>near his home in Sussex. So Woodward helped expand the

0:32:52.720 --> 0:32:56.600
<v Speaker 2>excavation and eventually he and Dawson dug up parts of

0:32:56.600 --> 0:32:59.880
<v Speaker 2>a mandible, pieces of a skull, and multiple teeth there.

0:33:00.440 --> 0:33:03.040
<v Speaker 2>And so intriguingly, some of these teeth appeared to be

0:33:03.200 --> 0:33:06.560
<v Speaker 2>larger than a human's but smaller than an apes, and

0:33:06.600 --> 0:33:09.200
<v Speaker 2>so it was pointing to the possibility of an ancient

0:33:09.280 --> 0:33:13.360
<v Speaker 2>ancestor some five hundred thousand years old. Now, the British

0:33:13.360 --> 0:33:16.560
<v Speaker 2>scientific community was understandably excited about the evidence of a

0:33:16.600 --> 0:33:19.880
<v Speaker 2>creature dubbed the Piltdown Man, in part because a few

0:33:19.960 --> 0:33:23.440
<v Speaker 2>years earlier an ancient pre human jawbone had been discovered

0:33:23.480 --> 0:33:26.560
<v Speaker 2>in Germany. Now, in the run up to World War One,

0:33:26.760 --> 0:33:30.040
<v Speaker 2>tensions between Germany and the UK were running high, and

0:33:30.080 --> 0:33:32.880
<v Speaker 2>so the Piltdown Man was proof of England's importance and

0:33:32.920 --> 0:33:37.520
<v Speaker 2>the fossil record until nineteen fifty three, when new dating

0:33:37.600 --> 0:33:41.080
<v Speaker 2>techniques showed that his bones weren't all the same age,

0:33:41.360 --> 0:33:44.080
<v Speaker 2>and what's more, they were a mix of human and

0:33:44.480 --> 0:33:47.600
<v Speaker 2>eight bones. So this was proof of the deception, but

0:33:47.680 --> 0:33:50.840
<v Speaker 2>the question was who did it so. Finally, in two

0:33:50.880 --> 0:33:55.280
<v Speaker 2>thousand and nine, a paleoanthropologist named Isabelle de Grute used

0:33:55.360 --> 0:33:59.040
<v Speaker 2>DNA analysis and CT scanning to get an even closer

0:33:59.040 --> 0:34:02.160
<v Speaker 2>look at the Piltdowns samples. Here's what she found. She

0:34:02.240 --> 0:34:05.520
<v Speaker 2>found that all the teeth came from one orangutan and

0:34:05.560 --> 0:34:07.600
<v Speaker 2>that the bones had been coated in a sort of

0:34:07.720 --> 0:34:11.480
<v Speaker 2>putty to make them appear uniform and heavy. Even so,

0:34:11.520 --> 0:34:14.279
<v Speaker 2>she concluded that given the consistency of the cover up,

0:34:14.360 --> 0:34:18.359
<v Speaker 2>it was the work of one person, Charles Dawson. As

0:34:18.360 --> 0:34:22.640
<v Speaker 2>an amateur who dabbled in geology, archaeology and anthropology, he

0:34:22.680 --> 0:34:26.200
<v Speaker 2>would have known exactly what a real prehistoric find should

0:34:26.239 --> 0:34:30.040
<v Speaker 2>look like, and he had access to samples and to tools,

0:34:30.520 --> 0:34:33.600
<v Speaker 2>and as it turned out, he had perpetuated other smaller

0:34:33.640 --> 0:34:36.440
<v Speaker 2>frauds that were all an attempt to gain recognition by

0:34:36.440 --> 0:34:38.160
<v Speaker 2>the British scientific community.

0:34:39.000 --> 0:34:41.200
<v Speaker 1>That's so weird, you know. I'd heard of Tilton men,

0:34:41.239 --> 0:34:43.640
<v Speaker 1>but I'd never realized that they'd figured out that Dawson

0:34:43.719 --> 0:34:46.160
<v Speaker 1>was behind it. And I guess he did end up

0:34:46.160 --> 0:34:49.080
<v Speaker 1>getting some recognition, but none the way he wanted. Yeah,

0:34:49.160 --> 0:34:52.320
<v Speaker 1>you know, if I'm being honest, which I am obviously,

0:34:52.680 --> 0:34:56.120
<v Speaker 1>I think he deserved Today's trophy for explaining how kids

0:34:56.160 --> 0:34:58.960
<v Speaker 1>become such expert liars. I think that bit of the

0:34:59.080 --> 0:35:00.520
<v Speaker 1>story was my favorit today.

0:35:01.239 --> 0:35:03.640
<v Speaker 2>Thank you. It is fun, too fun to think about.

0:35:05.160 --> 0:35:07.600
<v Speaker 1>Well that does it for this episode. If you like

0:35:07.680 --> 0:35:09.680
<v Speaker 1>our show, remember to rate and review us on the

0:35:09.719 --> 0:35:12.520
<v Speaker 1>Apple Store. Actually, I cannot help. But look at our

0:35:12.560 --> 0:35:16.160
<v Speaker 1>reviews and we've been sitting at seventeen ninety nine, seven

0:35:16.480 --> 0:35:19.040
<v Speaker 1>and ninety nine reviews, just hovering there for the last

0:35:19.040 --> 0:35:21.960
<v Speaker 1>few weeks and it hasn't gone up to eighteen hundred

0:35:21.960 --> 0:35:25.080
<v Speaker 1>and so someone out there help us out, help my

0:35:25.120 --> 0:35:28.520
<v Speaker 1>OCD out and get it to an even number. Also,

0:35:28.560 --> 0:35:30.240
<v Speaker 1>if you want to keep up with us on the socials,

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<v Speaker 1>remember you can find us up part Time Genius on

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<v Speaker 1>the gram. Anyway, we'll be back soon with another new episode,

0:35:35.719 --> 0:35:39.759
<v Speaker 1>but in the meantime from Gabe, Mary, Dylan, Will and myself,

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<v Speaker 1>thank you so much for listening. Part Time Genius is

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<v Speaker 1>a production of Kaleidoscope and iHeartRadio. This show is hosted

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<v Speaker 1>by Will Pearson and me Mongaysh Heatique and research by

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<v Speaker 1>our goodpal Mary Philip Sandy. Today's episode was engineered and

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<v Speaker 1>produced by the wonderful Dylan Fagan with support from Tyler Klang.

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<v Speaker 1>The show is executive produced for iHeart by Katrina Norvell

0:36:13.520 --> 0:36:16.560
<v Speaker 1>and Ali Perry, with social media support from Sasha Gay,

0:36:16.600 --> 0:36:21.200
<v Speaker 1>trustee Dara Potts and Viny Shorey. For more podcasts from

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<v Speaker 1>Kaleidoscope and iHeartRadio, visit the iHeartRadio app Apple podcasts, or

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<v Speaker 1>wherever you listen to your favorite shows.