WEBVTT - Thought Leaders

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<v Speaker 1>Hello, Snaffoo listeners. I've been pondering the world's deepest questions.

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<v Speaker 2>Why are we here?

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<v Speaker 3>Who will win the World Cup later this week?

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<v Speaker 2>What is the meaning of life?

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<v Speaker 3>Are La boo boos always.

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<v Speaker 1>Going to be popular or is it just like a

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<v Speaker 1>twenty twenty five thing? And if so, what's the new

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<v Speaker 1>la boo boo of twenty twenty six? Is there a

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<v Speaker 1>chance I could make an ed booboo?

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<v Speaker 2>You know what? No?

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<v Speaker 3>AnyWho, The people who do the real cognitive acrobatics, the

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<v Speaker 3>real critical ponderers. Those are the folks that get me

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<v Speaker 3>really thinking the most, people like Adam Grant, Kara Swisher,

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<v Speaker 3>Scott Galloway, Kelly Corrigan, or one of my oldest buddies,

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<v Speaker 3>Jada bum Rat. The best part is all of those

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<v Speaker 3>folks appeared on Snaffoo this season, and they blew me

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<v Speaker 3>away with their adept insights and quick witticisms. The way

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<v Speaker 3>these folks interpret and evaluate snaffoos it's really cool. It's

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<v Speaker 3>eye opening and incredibly insightful and also at times extremely funny.

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<v Speaker 3>So this week I'm really excited to share a few

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<v Speaker 3>of my favorite moments with our favorite thought leaders. Enjoyment

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<v Speaker 3>Kelly Gorgan Wonders is a phenomenal podcast which I highly recommend.

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<v Speaker 3>You're five years in over seven hundred episodes. The format

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<v Speaker 3>of the show, it's basically a masterclass in human curiosity,

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<v Speaker 3>in exploring what makes us tick, what we fear and love,

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<v Speaker 3>and how we cope. And I'm just curious, after all

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<v Speaker 3>of that deep listening, do.

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<v Speaker 1>You feel any closer to the secret of living a

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<v Speaker 1>good life? Or is there anything like some crazy counterintuitive

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<v Speaker 1>revelation about the human condition that you've landed on.

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<v Speaker 4>More than sometimes when you're listening to someone a guest

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<v Speaker 4>on the show, so they synthesize things in such a

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<v Speaker 4>memorable way that it's almost like I've sort of known this,

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<v Speaker 4>I've sort of intuited this my whole life, but now

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<v Speaker 4>you just put the words on it. So two that

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<v Speaker 4>come to mind or this. We had this neuroscientist on

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<v Speaker 4>named Lisa feldmcbarratt. She's some top one percent scientists cited worldwide,

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<v Speaker 4>so in any discipline, so.

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<v Speaker 2>She's really respected.

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<v Speaker 4>And she has a great book called How Emotions Are Made,

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<v Speaker 4>And that's what we were talking about. And the line

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<v Speaker 4>she said was the best thing for a human central

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<v Speaker 4>nervous system is another human central nervous system, and the

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<v Speaker 4>worst thing for a human central nervous system is another

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<v Speaker 4>human central nervous ament. So pick your human central nervous

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<v Speaker 4>systems wisely, right, And that's the feeling that you get.

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<v Speaker 4>I mean, that's what happened when we first met. Really

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<v Speaker 4>is my es central nervous system in your central nervousystem

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<v Speaker 4>kind of wrapped up against each other.

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<v Speaker 5>And I was like, oh, this is a good Yeah, but.

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<v Speaker 1>That's a lot of pressure when you're like on the

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<v Speaker 1>life partner choices.

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<v Speaker 2>That's like, oh, geez, I better get this right.

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<v Speaker 3>Well.

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<v Speaker 4>I mean, this other guest said that we're an average

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<v Speaker 4>of the five people we spend the most time with

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<v Speaker 4>M and so that's sort of a related thought. And

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<v Speaker 4>then this other guest said that listening is so close

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<v Speaker 4>to love that most people can't tell the difference.

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<v Speaker 2>Wow.

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<v Speaker 4>And so if you kind of glue those all together,

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<v Speaker 4>you get some clarity about like who you're looking for

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<v Speaker 4>out there, and you're looking for people who can be still,

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<v Speaker 4>who can listen, who can take it in, And that's

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<v Speaker 4>the central nervous system that's going to work for you.

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<v Speaker 4>And that's the central nervous system that's going to make

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<v Speaker 4>you better.

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<v Speaker 1>I love that because I've always felt that profound insights

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<v Speaker 1>are things that we hear that were like these aha moments.

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<v Speaker 2>They feel like aha moments, right, they feel like things that.

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<v Speaker 1>Like, oh my god, what a revelation. I now understand

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<v Speaker 1>that better. But you're really just it's our It's actually just.

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<v Speaker 2>A affirming something that you already felt. The only reason it's.

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<v Speaker 1>An AHA moment is because you know that it's true

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<v Speaker 1>the second you hear it, because it resonates with something

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<v Speaker 1>already in you to And I just I.

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<v Speaker 2>Love that because it speaks to this.

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<v Speaker 1>Like kind of like grand human intuition that we all

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<v Speaker 1>share and that we all could we all understand these

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<v Speaker 1>fundamental truths.

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<v Speaker 4>Yeah, so that intuition is being developed and honed by knowledge.

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<v Speaker 4>How you feel from podcasting that you're just full of

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<v Speaker 4>so much more information to draw from, Like I feel

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<v Speaker 4>like my inputs in the last five years have gone

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<v Speaker 4>through the roof.

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<v Speaker 1>I love that podcasting has emerged as such a vital

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<v Speaker 1>medium in our culture now because it feels.

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<v Speaker 2>Like an antidote to social media. It feels like an

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<v Speaker 2>antidote to all of.

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<v Speaker 1>The that just like crazy, flashy quick disposable stuff. Yes,

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<v Speaker 1>to your point, it has provided a great scaffolding for

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<v Speaker 1>my curiosity and connection with so many cool people like yourself.

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<v Speaker 1>I see this as basically the collision of two very

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<v Speaker 1>primal emotions. It's rage versus fear. You have the workers

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<v Speaker 1>raging about inequality, and then of course elites are afraid

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<v Speaker 1>of losing their status and their fancy things. Is this

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<v Speaker 1>dynamic just baked into capitalism or is there a better

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<v Speaker 1>way that is socialism kind of trying to have both

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<v Speaker 1>both sides.

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<v Speaker 2>Oh, I think.

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<v Speaker 6>I mean, Scott can talk more about this because he

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<v Speaker 6>talks about sort of the rage. But one of the

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<v Speaker 6>things I just interviewed Bernie Sanders.

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<v Speaker 2>It was very good.

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<v Speaker 6>It was very mad about the oligarchs. He's a book

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<v Speaker 6>called Fighting Oligarchy, And you know, so, I think this

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<v Speaker 6>isn't a new thing. But one of the things that's

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<v Speaker 6>important to keep in mind is that it's usually preceded

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<v Speaker 6>by an area where lots of people get really rich,

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<v Speaker 6>like really really rich, and we're in that and many

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<v Speaker 6>years ago when this income and equality started to really

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<v Speaker 6>and then the tech people are the new winners, essentially

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<v Speaker 6>tech moguls. When they started to get ahead. I went

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<v Speaker 6>to one of them and I said, we have a

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<v Speaker 6>real problem with incoming quality. You could see the numbers

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<v Speaker 6>the minimum wage hadn't hadn't been rising, And I said,

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<v Speaker 6>you're either going to have to deal with the inequality

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<v Speaker 6>and give people a better wage like solve it, or

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<v Speaker 6>you're going to have to armor plate your tesla. And

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<v Speaker 6>I looked at him and I realized he wanted to

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<v Speaker 6>armor plate his tesla.

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<v Speaker 5>That was okay.

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<v Speaker 6>Like they thought that they had gotten all their money

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<v Speaker 6>by their own doing and not by help by the government, etc.

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<v Speaker 6>And they didn't care about people, And you could see that.

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<v Speaker 2>Yeah.

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<v Speaker 7>For the If I were to try and think of

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<v Speaker 7>one piece of data that explains the epicenter of many

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<v Speaker 7>of our problems, it would be the following. For the

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<v Speaker 7>first time in our two hundred and seventy five year history,

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<v Speaker 7>a thirty year old American isn't doing as well as

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<v Speaker 7>his or her parents were at thirty, and that not

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<v Speaker 7>only keeps creates rage and shame among a young group

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<v Speaker 7>of people who are more likely to pick up guns,

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<v Speaker 7>specifically young men, it creates rage and shame.

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<v Speaker 2>Across the household.

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<v Speaker 7>The algorithm or the power and you're referring to it

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<v Speaker 7>plays out over and over in a capitalist society, and

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<v Speaker 7>it's the following. A group of very talented, very hard working,

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<v Speaker 7>and very lucky people gather a disproportionate amount of assets,

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<v Speaker 7>and then we talk ourselves into believing that it is

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<v Speaker 7>patriotic and not a bad thing to create tax policy,

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<v Speaker 7>legislative policy, and regulatory captures such that corporations can have

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<v Speaker 7>their lowest taxes since nineteen thirty nine. Now such at

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<v Speaker 7>the twenty six wealthiest families in America pan average tax

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<v Speaker 7>rate of six percent. That is now the bad news

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<v Speaker 7>about income in equalities.

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<v Speaker 2>That always happens.

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<v Speaker 7>The good news is it's always self correcting. And more

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<v Speaker 7>bad news, though, is that the means of correction are

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<v Speaker 7>usually war, famine, or revolution. And I would argue that

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<v Speaker 7>as revolutions take on new complexion, we're in the midst

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<v Speaker 7>of a series of small revolutions. Black Lives Matter and

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<v Speaker 7>the Me Too movement, we're both righteous movements that had

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<v Speaker 7>real justifiable components. But they weren't going after the sexual

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<v Speaker 7>harassmer owner of a taco truck. They weren't going after

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<v Speaker 7>someone who is racist in a small company. They were

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<v Speaker 7>going after rich people and at some point when the

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<v Speaker 7>bottom fifty two percent of America have the same amount

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<v Speaker 7>of wealth as Elon Musk, they figure out that the

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<v Speaker 7>fastest way to double their wealth is to.

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<v Speaker 2>Go after that person.

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<v Speaker 7>And that's where we are. At some point. We are

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<v Speaker 7>having a series of small revolutions to try and correct

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<v Speaker 7>income inequality.

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<v Speaker 2>Yeah. Heavy, that's a good break heavy, that's heavy. It's

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<v Speaker 2>a good breakdown, and people.

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<v Speaker 5>Are getting it.

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<v Speaker 6>I'm sort of shocked we haven't had much more of

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<v Speaker 6>a of a revolution or anger over money.

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<v Speaker 1>The crazy thing is that back in nineteen nineteen these

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<v Speaker 1>workers were in like really horrendous conditions and still trying

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<v Speaker 1>to make it work.

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<v Speaker 2>But it's sort of it's all relative, right.

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<v Speaker 1>It doesn't matter, It doesn't matter what, like what the

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<v Speaker 1>actual conditions might be. It's the disparity itself that is

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<v Speaker 1>So that just feels so off.

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<v Speaker 7>Well, that's a that's a great that's a great point.

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<v Speaker 7>Just interrupt you, because if there's something to the notion,

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<v Speaker 7>and this is true, this is a true statement. A

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<v Speaker 7>middle class person right now is living better than the

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<v Speaker 7>richest person on the planet one hundred years ago. And

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<v Speaker 7>middle class Mississippi's our poor estate. It has a higher

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<v Speaker 7>household income than the UK or Germany or France. So

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<v Speaker 7>America is actually you could correctly say a middle class

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<v Speaker 7>person in the US is thriving and doing really well.

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<v Speaker 7>But that's not how the human brain works. The human

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<v Speaker 7>brain sees two hundred and ten times a day that

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<v Speaker 7>if they're not on a Gulf streamer, don't have a

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<v Speaker 7>boyfriend with ripped abs, that they're failing. And also they're

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<v Speaker 7>living with roommates because they the price of a home

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<v Speaker 7>went from two ninety to four hundred and twenty thousand

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<v Speaker 7>dollars during COVID because we flushed the market was so

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<v Speaker 7>much stimulus because me or you or care getting less

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<v Speaker 7>wealthy would be a crime greater than a million people dying.

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<v Speaker 7>And the natural cycle of redistributing income destroying capital during

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<v Speaker 7>crises that seeds economic advantage back from the capital owners

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<v Speaker 7>to labor. We didn't allow happen. And what was most

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<v Speaker 7>criminal about it was we use their credit card to

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<v Speaker 7>pay for our incumbency. So these people, you know, you

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<v Speaker 7>can understand people say young people are entitled.

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<v Speaker 2>No they're not.

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<v Speaker 7>They're entitled to be enraged. And you have just this

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<v Speaker 7>incredible shifting of economic prosperity, and there reminded several hundred

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<v Speaker 7>times a day on their phones that they're failing.

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<v Speaker 2>So try to tell that.

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<v Speaker 7>It's like the mistake democrats made trying to tell people

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<v Speaker 7>inflation is not that bad. Well, okay, it feels that

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<v Speaker 7>bad to me. And I also want to be clear,

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<v Speaker 7>this is a bipartisan issue. What Trump has effectively done

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<v Speaker 7>really well is like, Okay, Republicans and Republican donors, I'm

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<v Speaker 7>going to divide up TikTok. I'm going to give you

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<v Speaker 7>ai legislation that makes you richer. And Democrats who are

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<v Speaker 7>really rich and whole lot of the power. There's a

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<v Speaker 7>really uncomfortable silence of conspiracy that says, don't get too

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<v Speaker 7>angry because you're going to make bank if you're a

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<v Speaker 7>rich Democrat. And one of the most disappointing things about

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<v Speaker 7>this is good democrats who are in positions of powers

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<v Speaker 7>have been fucking silent on all of this. Why could

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<v Speaker 7>stop stop? It hurts so good? My taxes are going down.

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<v Speaker 6>I would agree.

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<v Speaker 2>Yeah, absolutely brutal.

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<v Speaker 6>And also, you know, at the it's all often at

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<v Speaker 6>the expense of the young towards the old, and you know,

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<v Speaker 6>you see it in Congress where they're you know, antiquated,

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<v Speaker 6>and they're making rules that would benefit But the top.

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<v Speaker 8>Groups that has that story has all the things ed

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<v Speaker 8>like that. That is a that is that is something

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<v Speaker 8>I liked how you kind of right at the Connecticut moment,

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<v Speaker 8>you sort of you spun it into a a sort

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<v Speaker 8>of clue knives out who done it kind of situation.

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<v Speaker 8>They lived large back then, you know, they explored large,

0:11:55.080 --> 0:12:00.640
<v Speaker 8>They they poisoned large, They beefed pretty large. It's a

0:12:00.840 --> 0:12:03.440
<v Speaker 8>it's a I feel like our lives are soft and

0:12:03.520 --> 0:12:07.520
<v Speaker 8>small by comparison, although maybe we're better for it. You know,

0:12:07.840 --> 0:12:08.720
<v Speaker 8>that's quite a tale.

0:12:08.840 --> 0:12:11.480
<v Speaker 1>What I love about this story and what I loved

0:12:12.000 --> 0:12:15.200
<v Speaker 1>about it for you in particular, was how science is

0:12:15.320 --> 0:12:20.760
<v Speaker 1>part of the murder mystery. And I I always loved how,

0:12:21.200 --> 0:12:26.760
<v Speaker 1>you know, Radio Lab episodes would unpack a narrative, whether

0:12:26.800 --> 0:12:29.160
<v Speaker 1>it was a mystery, whether it was even a science

0:12:29.200 --> 0:12:34.480
<v Speaker 1>based narrative. Very often science was part of the if

0:12:34.520 --> 0:12:40.720
<v Speaker 1>not the sort of mechanism of discovery in Radio Lab episodes. Yeah,

0:12:40.920 --> 0:12:43.800
<v Speaker 1>it speaks to the power of science both from just

0:12:44.000 --> 0:12:49.040
<v Speaker 1>a a research standpoint. I mean, here's a guy at Dartmouth,

0:12:49.360 --> 0:12:54.640
<v Speaker 1>this lumis professor. He's just writing a biography and and

0:12:54.640 --> 0:12:58.320
<v Speaker 1>and turns out, Oh, I've got reason to suspect.

0:12:58.040 --> 0:12:58.640
<v Speaker 2>He was murdered.

0:12:58.679 --> 0:13:00.760
<v Speaker 1>We're going to go dig him up and run these

0:13:00.800 --> 0:13:05.800
<v Speaker 1>tests on him, and lo and behold, all this new

0:13:05.840 --> 0:13:09.960
<v Speaker 1>evidence emerges. And there's just no end to what we

0:13:10.200 --> 0:13:13.679
<v Speaker 1>can learn when science is applied in the right ways

0:13:14.000 --> 0:13:15.040
<v Speaker 1>and with creativity.

0:13:15.440 --> 0:13:18.000
<v Speaker 8>Yeah, what I was thinking about as you were talking

0:13:18.880 --> 0:13:22.000
<v Speaker 8>was the way science has changed over the years. Right,

0:13:22.040 --> 0:13:24.840
<v Speaker 8>there was a period in the nineteenth century and really

0:13:26.120 --> 0:13:29.680
<v Speaker 8>in the precise moment that this story is unfolding, where

0:13:29.720 --> 0:13:32.679
<v Speaker 8>what it meant to be a scientist It was this

0:13:32.800 --> 0:13:36.160
<v Speaker 8>kind of like the era of the gentleman scientist, where

0:13:36.200 --> 0:13:38.440
<v Speaker 8>they would get on a boat and sail to a

0:13:38.480 --> 0:13:40.560
<v Speaker 8>new land and they would collect species, and then they

0:13:40.559 --> 0:13:45.160
<v Speaker 8>would create these cabinets of curiosities of butterflies and birds

0:13:45.240 --> 0:13:49.520
<v Speaker 8>and you know, all kinds of marsupials, and there's something

0:13:50.400 --> 0:13:53.480
<v Speaker 8>sort of imperial about it, and there's such an abundance,

0:13:53.480 --> 0:13:58.400
<v Speaker 8>and they're grabbing from the land and really collecting and

0:13:58.440 --> 0:14:00.000
<v Speaker 8>trying to out do each other. But on the other hand,

0:14:00.000 --> 0:14:03.800
<v Speaker 8>and there is just this kind of wonderful sense of

0:14:03.960 --> 0:14:07.160
<v Speaker 8>openness and discovery of the world is full of things

0:14:07.160 --> 0:14:10.760
<v Speaker 8>that might seem magical, but we through inquiry and a method,

0:14:10.880 --> 0:14:14.320
<v Speaker 8>will demystify them and we can there's a sense of

0:14:14.400 --> 0:14:18.360
<v Speaker 8>like a naive sense that we can know everything. And

0:14:18.400 --> 0:14:21.760
<v Speaker 8>it's interesting to juxtapose that in a split screen in

0:14:21.800 --> 0:14:25.000
<v Speaker 8>your mind to where we are now, where there's science

0:14:25.000 --> 0:14:29.080
<v Speaker 8>has never been more robust, and there's so much. I mean,

0:14:29.120 --> 0:14:33.120
<v Speaker 8>my mother, just as a personal example, has been studying

0:14:33.160 --> 0:14:38.080
<v Speaker 8>one protein for forty something years at this point in

0:14:38.120 --> 0:14:44.080
<v Speaker 8>what capacity as a as a biologist she discovered or

0:14:44.120 --> 0:14:46.720
<v Speaker 8>not discovered. I mean, it was there, but she kind

0:14:46.760 --> 0:14:48.800
<v Speaker 8>of came to know this protein, brought it to the

0:14:48.800 --> 0:14:51.920
<v Speaker 8>world's attention, and has been studying it every day for

0:14:51.920 --> 0:14:54.400
<v Speaker 8>forty years. And like that's what science is now. It's

0:14:54.400 --> 0:14:59.760
<v Speaker 8>just like unbelievable rigor and dedication and discipline. And yet

0:14:59.760 --> 0:15:03.360
<v Speaker 8>you're in this like Maha moment when Chah, science kind

0:15:03.360 --> 0:15:06.520
<v Speaker 8>of hold on the truth has been a bit marginalized.

0:15:07.520 --> 0:15:11.200
<v Speaker 8>But you know, I say to myself, and I'm spinning

0:15:11.200 --> 0:15:13.040
<v Speaker 8>myself into a cul de sac here, I say to myself,

0:15:13.040 --> 0:15:14.960
<v Speaker 8>you know, science was always one way of knowing the world,

0:15:14.960 --> 0:15:16.640
<v Speaker 8>and it's not the only way, and now all the

0:15:16.680 --> 0:15:20.360
<v Speaker 8>different ways have to compete, and maybe that's maybe that's

0:15:20.400 --> 0:15:21.200
<v Speaker 8>where we are.

0:15:21.200 --> 0:15:21.840
<v Speaker 2>Very well said.

0:15:22.240 --> 0:15:27.680
<v Speaker 1>I think, yeah, that the sort of magic of science

0:15:27.760 --> 0:15:34.400
<v Speaker 1>is getting confused with the magic of wellness. Stories that

0:15:34.480 --> 0:15:39.200
<v Speaker 1>make you feel good wellness, narratives that grossly oversimplify and

0:15:39.320 --> 0:15:42.640
<v Speaker 1>just kind of give us that doorphin rush. But good science,

0:15:42.720 --> 0:15:46.600
<v Speaker 1>hard science, disciplined science, also provides that it's just a

0:15:46.640 --> 0:15:49.640
<v Speaker 1>lot harder, and it's a lot harder to consume. In

0:15:49.720 --> 0:15:53.600
<v Speaker 1>nineteen oh seven, Ponzi landed in Montreal and scored a

0:15:53.680 --> 0:15:55.960
<v Speaker 1>job as an assistant teller at a small bank serving

0:15:56.040 --> 0:15:59.280
<v Speaker 1>Italian immigrants, and it was there that he witnessed the

0:15:59.320 --> 0:16:03.200
<v Speaker 1>original mad of the scam he would later perfect. His boss,

0:16:03.280 --> 0:16:09.000
<v Speaker 1>Luigi Zorosi, lured depositors with absurdly generous interest rates, and

0:16:09.400 --> 0:16:13.680
<v Speaker 1>amazingly he would pay them, of course, by funneling new

0:16:13.720 --> 0:16:17.960
<v Speaker 1>deposits straight to the earlier investors. It was a beautifully

0:16:18.080 --> 0:16:22.520
<v Speaker 1>unsustainable system. So when the bank inevitably crashed and Zorosi

0:16:22.680 --> 0:16:27.080
<v Speaker 1>bolted for Mexico to avoid accountability, Ponzi was left behind,

0:16:27.320 --> 0:16:32.200
<v Speaker 1>unemployed but newly educated in the fine art of financial

0:16:32.240 --> 0:16:35.720
<v Speaker 1>Tom foolery. Now most of us would look at this

0:16:35.760 --> 0:16:41.480
<v Speaker 1>whole mess and think, Okay, well that backfired. Maybe crime

0:16:41.640 --> 0:16:44.800
<v Speaker 1>doesn't pay. What can you tell us about the psychology

0:16:44.800 --> 0:16:48.280
<v Speaker 1>of someone who definitely does not learn that lesson, in

0:16:48.360 --> 0:16:52.200
<v Speaker 1>fact sort of learns the opposite lesson of like here's

0:16:52.320 --> 0:16:56.840
<v Speaker 1>more opportunity. I mean, do you see like sociopathy at

0:16:56.880 --> 0:17:00.320
<v Speaker 1>play or is it just sort of that healthy or

0:17:00.520 --> 0:17:04.440
<v Speaker 1>maybe unhealthy ego with a kind of rules don't apply swagger.

0:17:05.119 --> 0:17:06.360
<v Speaker 2>I mean, how dark is that?

0:17:07.160 --> 0:17:10.280
<v Speaker 9>So there are three traits that would normally predict being

0:17:10.280 --> 0:17:14.720
<v Speaker 9>attracted to that kind of that kind of scheme, and

0:17:14.960 --> 0:17:17.560
<v Speaker 9>the psychologists call them the dark triad, and you hit

0:17:17.600 --> 0:17:21.399
<v Speaker 9>on one of them pretty closely anyway. They're being a narcissist,

0:17:21.600 --> 0:17:23.960
<v Speaker 9>being Machiavelian, and being a psychopath.

0:17:24.440 --> 0:17:26.639
<v Speaker 2>H And I.

0:17:26.640 --> 0:17:31.239
<v Speaker 9>Think we're probably talking about Machiavelianism here more than we

0:17:31.280 --> 0:17:34.560
<v Speaker 9>are being a narcissist or or a psychopath or sociopath,

0:17:34.960 --> 0:17:37.679
<v Speaker 9>because what this kind of scheme is really about is

0:17:37.840 --> 0:17:41.000
<v Speaker 9>it's about manipulating other people and using them for personal gain.

0:17:41.680 --> 0:17:44.240
<v Speaker 9>And you don't have to have a giant inflated ego

0:17:44.359 --> 0:17:46.720
<v Speaker 9>to want to do that. You don't have to feel

0:17:47.240 --> 0:17:50.600
<v Speaker 9>no empathy for other people. You just have to be

0:17:50.680 --> 0:17:53.879
<v Speaker 9>a little bit callous around, feeling like, you know what,

0:17:54.640 --> 0:17:57.800
<v Speaker 9>I can use other people a little bit. And in fact,

0:17:58.240 --> 0:17:59.960
<v Speaker 9>I think part of the appeal of a Ponzi scheme

0:18:00.160 --> 0:18:02.600
<v Speaker 9>is you look at that and you say, well, you know,

0:18:02.840 --> 0:18:05.240
<v Speaker 9>if I can keep it going, actually I'm going to

0:18:05.280 --> 0:18:07.639
<v Speaker 9>profit and no one else is going to get hurt

0:18:07.880 --> 0:18:11.359
<v Speaker 9>because each like each each former investor is going to

0:18:11.359 --> 0:18:12.919
<v Speaker 9>get their money back because of a new one. And

0:18:12.960 --> 0:18:14.639
<v Speaker 9>so all I have to do is perpetuate it. And

0:18:15.240 --> 0:18:17.960
<v Speaker 9>you know, I'm just I'm exploiting a loophole in the system.

0:18:18.080 --> 0:18:20.920
<v Speaker 9>I'm not exploiting people so much. And I think if

0:18:20.920 --> 0:18:23.600
<v Speaker 9>you tell yourself that story, you probably sleep at night.

0:18:23.680 --> 0:18:26.800
<v Speaker 9>And it doesn't it doesn't require much more than a

0:18:26.840 --> 0:18:28.199
<v Speaker 9>little bit of machiavelianism.

0:18:28.560 --> 0:18:30.240
<v Speaker 2>The scale of his operation.

0:18:30.400 --> 0:18:33.000
<v Speaker 1>That's what's so mind blowing is that like the buy

0:18:33.080 --> 0:18:37.840
<v Speaker 1>in from so many different people, like the eagerness to want,

0:18:38.160 --> 0:18:41.679
<v Speaker 1>like the desire for this to be true is and

0:18:41.760 --> 0:18:46.400
<v Speaker 1>for this all to be like a functioning, healthy way

0:18:46.440 --> 0:18:51.359
<v Speaker 1>to make money. It's like the things we can force

0:18:51.400 --> 0:18:55.000
<v Speaker 1>ourselves to believe, Like he's the perpetrator Ponzi or Bernie

0:18:55.040 --> 0:18:57.920
<v Speaker 1>made Off like they're the perpetrators. They're either deluding themselves

0:18:58.000 --> 0:19:01.280
<v Speaker 1>or they're just like criminals or whatever they're whatever's going

0:19:01.320 --> 0:19:03.680
<v Speaker 1>on with them. I mean, there's the investors who are

0:19:03.680 --> 0:19:06.000
<v Speaker 1>just pure victims. But then there are people who are

0:19:06.040 --> 0:19:10.280
<v Speaker 1>in the organization, right, they're in the running of these things,

0:19:10.720 --> 0:19:14.359
<v Speaker 1>and they have to have a sense of like this

0:19:15.320 --> 0:19:17.919
<v Speaker 1>doesn't add up, or it's just like I'm gonna keep

0:19:17.960 --> 0:19:20.119
<v Speaker 1>my head in the sand. I'm not gonna like this

0:19:20.200 --> 0:19:23.000
<v Speaker 1>spreadsheet looks weird to me, but I'm just not gonna ask,

0:19:23.240 --> 0:19:26.800
<v Speaker 1>because boy, it feels good to trust this, like nice

0:19:26.960 --> 0:19:31.560
<v Speaker 1>old man Bernie, who just seems to know who's been

0:19:31.640 --> 0:19:34.720
<v Speaker 1>venerated by the great financial institutions for decades.

0:19:35.160 --> 0:19:37.800
<v Speaker 9>There are terms that have been coined to describe what

0:19:37.880 --> 0:19:39.960
<v Speaker 9>happens to a lot of people in the orbit of

0:19:40.000 --> 0:19:45.600
<v Speaker 9>a Ponzier made off. Bendura called it moral disengagement. Ten

0:19:45.600 --> 0:19:50.080
<v Speaker 9>Brunzel and Mesk have called it ethical fading, where you

0:19:50.200 --> 0:19:53.360
<v Speaker 9>just you stop applying a principled lens to the situation

0:19:53.440 --> 0:19:57.960
<v Speaker 9>you're in because other people are accepting it, and you assume, well,

0:19:58.200 --> 0:19:59.920
<v Speaker 9>you know, surely these are not bad people.

0:20:00.080 --> 0:20:02.120
<v Speaker 2>I see them, you know, their their.

0:20:01.960 --> 0:20:07.159
<v Speaker 9>Decent parents and partners and caring bosses, and you know

0:20:07.320 --> 0:20:10.840
<v Speaker 9>they couldn't be doing anything bad, and you lose sight

0:20:10.880 --> 0:20:14.080
<v Speaker 9>of the lines that are being crossed. I think that

0:20:14.080 --> 0:20:16.159
<v Speaker 9>that could be part of what's happening in their orbit.

0:20:16.400 --> 0:20:20.440
<v Speaker 9>And maybe the other piece of this is I was

0:20:20.440 --> 0:20:25.120
<v Speaker 9>thinking about Maria Kannakova, a psychologist turned poker champ who

0:20:25.320 --> 0:20:28.200
<v Speaker 9>wrote a book called The Confidence Game, and there's a

0:20:28.280 --> 0:20:31.600
<v Speaker 9>quote in that book that shook me. Maria wrote, the

0:20:31.680 --> 0:20:35.080
<v Speaker 9>true con artist doesn't force us to do anything. He

0:20:35.160 --> 0:20:37.679
<v Speaker 9>makes us complicit in our own undoing.

0:20:38.280 --> 0:20:40.440
<v Speaker 1>Adam, what are you and I complicit in right now

0:20:40.440 --> 0:20:41.399
<v Speaker 1>that we have no idea?

0:20:41.560 --> 0:20:43.000
<v Speaker 2>Is part of our own doing?

0:20:44.000 --> 0:20:46.480
<v Speaker 9>I really hope nothing, But you know, just thinking about

0:20:46.520 --> 0:20:49.680
<v Speaker 9>what happens to the early employees, in the early clients,

0:20:50.200 --> 0:20:52.960
<v Speaker 9>they are to recruit other people into the scheme. Of course,

0:20:53.040 --> 0:20:56.000
<v Speaker 9>you try to get your friends hired at this great company.

0:20:56.680 --> 0:20:59.240
<v Speaker 9>You try to get your you know, your family to

0:20:59.359 --> 0:21:02.560
<v Speaker 9>invest in this, you know, this fun with incredible returns,

0:21:03.160 --> 0:21:08.120
<v Speaker 9>and pretty soon you have a strong incentive to see

0:21:08.119 --> 0:21:08.879
<v Speaker 9>no evil.

0:21:09.280 --> 0:21:10.960
<v Speaker 2>I want to bring this into the present moment a

0:21:11.000 --> 0:21:12.480
<v Speaker 2>little bit. I love digging into this.

0:21:12.440 --> 0:21:16.520
<v Speaker 1>Story because of how hyper relevant it feels today in

0:21:16.560 --> 0:21:19.639
<v Speaker 1>the age of Internet scammers and just this sort of

0:21:19.680 --> 0:21:21.200
<v Speaker 1>like new generation of con.

0:21:21.119 --> 0:21:22.560
<v Speaker 2>Artists that have emerged.

0:21:22.560 --> 0:21:24.719
<v Speaker 1>I mean, it's it's funny to think of Charles Ponzi

0:21:24.760 --> 0:21:29.199
<v Speaker 1>as perhaps now him being like an Instagram influencer, you know,

0:21:29.320 --> 0:21:31.040
<v Speaker 1>who's just like taking people in.

0:21:32.720 --> 0:21:34.200
<v Speaker 2>But here's just a few stats.

0:21:34.800 --> 0:21:39.320
<v Speaker 1>The FBI reported that Americans lost sixteen point six billion

0:21:39.440 --> 0:21:43.920
<v Speaker 1>dollars to online scams, which is a thirty three percent

0:21:44.160 --> 0:21:48.400
<v Speaker 1>increase from twenty twenty three. Do you think that there

0:21:48.480 --> 0:21:51.920
<v Speaker 1>is also a way that sort of the online distance

0:21:52.280 --> 0:21:58.159
<v Speaker 1>from a con artist and like us when we're in

0:21:58.200 --> 0:22:02.320
<v Speaker 1>our own bubble and we don't have other people to

0:22:02.320 --> 0:22:06.480
<v Speaker 1>sort of cross reference with or bounce an idea off

0:22:06.520 --> 0:22:12.760
<v Speaker 1>of does does the solitary nature of internet interaction make

0:22:12.840 --> 0:22:17.639
<v Speaker 1>us additionally more vulnerable or less vulnerable? Or I mean

0:22:17.680 --> 0:22:20.720
<v Speaker 1>it does seem like the Internet is just a cesspool

0:22:20.760 --> 0:22:23.000
<v Speaker 1>of scam Yeah.

0:22:23.240 --> 0:22:25.320
<v Speaker 9>I would love to see some data on this. I

0:22:25.359 --> 0:22:29.159
<v Speaker 9>have not seen a good analysis. I think I have

0:22:29.200 --> 0:22:31.960
<v Speaker 9>a similar hunch to yours, which is the isolation can

0:22:32.000 --> 0:22:35.400
<v Speaker 9>make it really easy to to fall for a scam.

0:22:35.840 --> 0:22:37.919
<v Speaker 9>I think the other piece of it is you're missing

0:22:37.920 --> 0:22:41.520
<v Speaker 9>some of the cues that would normally you know, sort

0:22:41.560 --> 0:22:44.200
<v Speaker 9>of you know, even if you didn't recognize them consciously.

0:22:44.359 --> 0:22:46.720
<v Speaker 9>You know, you interact with a con artist face to face,

0:22:46.760 --> 0:22:51.360
<v Speaker 9>and you start to get a gut feeling sometimes I don't.

0:22:51.200 --> 0:22:52.280
<v Speaker 2>Quite trust this person.

0:22:52.760 --> 0:22:55.840
<v Speaker 9>I don't know why, but you know, maybe maybe I

0:22:55.880 --> 0:22:59.560
<v Speaker 9>should verify, or maybe I should you know, wait a

0:22:59.560 --> 0:23:03.080
<v Speaker 9>little bit. And you're just deprived of a lot of

0:23:03.080 --> 0:23:03.639
<v Speaker 9>those cues.

0:23:03.640 --> 0:23:04.240
<v Speaker 2>Over the internet.

0:23:04.359 --> 0:23:05.960
<v Speaker 9>Sometimes you don't even know if it's a human or

0:23:06.040 --> 0:23:08.679
<v Speaker 9>a bot that's you know, that's pitching you. And so

0:23:08.760 --> 0:23:11.480
<v Speaker 9>I think that that probably makes it harder for people

0:23:11.480 --> 0:23:15.920
<v Speaker 9>to use whatever intuition they have around judging people's trustworthiness.

0:23:16.320 --> 0:23:19.320
<v Speaker 9>What's the what's the New Yorker cartoon on the internet?

0:23:19.600 --> 0:23:20.720
<v Speaker 9>No one knows You're a dog?

0:23:21.040 --> 0:23:25.280
<v Speaker 1>Yeah, of course, Well that's more of a catfish joke.

0:23:25.440 --> 0:23:29.480
<v Speaker 2>No, but I guess it's uh, I guess it works

0:23:29.480 --> 0:23:30.440
<v Speaker 2>here just as well.

0:23:31.280 --> 0:23:34.840
<v Speaker 1>This app was building a surprisingly detailed dossier on you,

0:23:34.840 --> 0:23:39.160
<v Speaker 1>your psychology and that of your entire digital entourage.

0:23:39.480 --> 0:23:41.040
<v Speaker 2>Question, do you.

0:23:41.160 --> 0:23:44.520
<v Speaker 1>Think that the average American at that time had any

0:23:44.760 --> 0:23:49.240
<v Speaker 1>sense of how this kind of personal information that that

0:23:49.400 --> 0:23:54.480
<v Speaker 1>everyone was sharing just exhaustively could be turned against them

0:23:54.880 --> 0:23:58.960
<v Speaker 1>or or were we just high on digital narcissism?

0:24:00.359 --> 0:24:01.720
<v Speaker 2>No, I mean an American.

0:24:01.920 --> 0:24:04.959
<v Speaker 10>Americans are very interesting in that they will say that

0:24:05.000 --> 0:24:08.240
<v Speaker 10>privacy is very important to them, but they will give

0:24:08.320 --> 0:24:10.200
<v Speaker 10>up their privacy for almost anything.

0:24:10.600 --> 0:24:10.760
<v Speaker 5>Right.

0:24:10.840 --> 0:24:13.359
<v Speaker 10>It's like they will tell you, you know, that they

0:24:13.400 --> 0:24:15.080
<v Speaker 10>don't want to, you know, put the name of their

0:24:15.160 --> 0:24:18.000
<v Speaker 10>children online, but if it got them ten percent off

0:24:18.040 --> 0:24:19.520
<v Speaker 10>at ross dress for less, they.

0:24:19.400 --> 0:24:21.560
<v Speaker 5>Will absolutely give you all that and more so.

0:24:21.880 --> 0:24:24.280
<v Speaker 10>Companies are always sort of doing this weird dance where

0:24:24.320 --> 0:24:26.320
<v Speaker 10>they're trying to get you to reveal as much as

0:24:26.320 --> 0:24:29.600
<v Speaker 10>they possibly can without it accidentally blowing up in their face.

0:24:29.920 --> 0:24:33.960
<v Speaker 11>Well, and this was also an era that was called

0:24:34.000 --> 0:24:36.760
<v Speaker 11>sort of the open graph era of Facebook. Basically, they

0:24:36.800 --> 0:24:39.000
<v Speaker 11>were trying to turn Facebook from an app where you

0:24:39.040 --> 0:24:42.800
<v Speaker 11>would go and you know, stock your crushes from college

0:24:42.960 --> 0:24:48.960
<v Speaker 11>or whatever, to a platform where other apps could build things.

0:24:48.960 --> 0:24:53.040
<v Speaker 11>There were apps like Farmville that you could play inside Facebook.

0:24:53.040 --> 0:24:56.840
<v Speaker 11>You could use Facebook to log into Spotify or any

0:24:56.840 --> 0:25:01.720
<v Speaker 11>other number of services, and that was part of this

0:25:02.400 --> 0:25:05.200
<v Speaker 11>quiz push was like you could build things on top

0:25:05.280 --> 0:25:08.679
<v Speaker 11>of Facebook, and then Facebook would actually send some of

0:25:08.680 --> 0:25:12.760
<v Speaker 11>that data to the developers of the quizzes. This was

0:25:12.800 --> 0:25:17.000
<v Speaker 11>the same protocol, the same process that they used to

0:25:17.200 --> 0:25:20.359
<v Speaker 11>connect people with Farmville games and Spotify.

0:25:20.920 --> 0:25:24.440
<v Speaker 1>The best case use of that data would just be

0:25:24.640 --> 0:25:28.639
<v Speaker 1>for that app to reach more users, or at this point,

0:25:28.920 --> 0:25:31.800
<v Speaker 1>what's the reason for being just so give and.

0:25:31.880 --> 0:25:33.920
<v Speaker 2>Take with this data.

0:25:34.080 --> 0:25:38.920
<v Speaker 10>So Facebook used to have this very permissive what they

0:25:38.960 --> 0:25:42.720
<v Speaker 10>call an API and application programming interface. It's essentially just

0:25:42.760 --> 0:25:45.400
<v Speaker 10>a piece of software that lets other pieces of software

0:25:45.400 --> 0:25:47.840
<v Speaker 10>talk to each other. And there was a time when

0:25:47.880 --> 0:25:51.920
<v Speaker 10>Facebook invested really heavily in that because they wanted essentially

0:25:52.000 --> 0:25:55.080
<v Speaker 10>every other software to connect whatever they were building to Facebook.

0:25:55.320 --> 0:25:57.000
<v Speaker 5>Facebook thought, this is the way.

0:25:56.880 --> 0:25:58.720
<v Speaker 10>That we are going to grow and take over the

0:25:58.760 --> 0:26:02.440
<v Speaker 10>world is essentially everything runs through this. And the way

0:26:02.480 --> 0:26:05.160
<v Speaker 10>that Facebook was able to attract so many of those

0:26:05.200 --> 0:26:08.440
<v Speaker 10>people to its platforms was by saying, we will give

0:26:08.480 --> 0:26:10.639
<v Speaker 10>you data that you can't get anywhere else. Right, there

0:26:10.640 --> 0:26:12.359
<v Speaker 10>aren't a lot of other places where you can go

0:26:12.440 --> 0:26:16.400
<v Speaker 10>if you're a legitimate researcher, a shady researcher, somebody who's

0:26:16.440 --> 0:26:19.480
<v Speaker 10>making a mobile game, and immediately get not just my

0:26:19.640 --> 0:26:21.800
<v Speaker 10>name and my email address and my phone number, but

0:26:21.880 --> 0:26:24.359
<v Speaker 10>also at the time the names of all of my

0:26:24.440 --> 0:26:27.359
<v Speaker 10>friends and their phone numbers and their email addresses. So

0:26:27.600 --> 0:26:29.959
<v Speaker 10>for people like the ones who wound up building the

0:26:30.160 --> 0:26:33.600
<v Speaker 10>app that led to Cambridge Analytica, this was a gold mine.

0:26:33.640 --> 0:26:37.040
<v Speaker 10>It was an absolute bananza and it really benefited Facebook

0:26:37.119 --> 0:26:37.840
<v Speaker 10>until it did.

0:26:38.080 --> 0:26:40.159
<v Speaker 1>And do you think we've gotten just back to that

0:26:40.320 --> 0:26:44.760
<v Speaker 1>initial question about how you know we share information online?

0:26:44.920 --> 0:26:47.080
<v Speaker 2>Have we gotten any better at this? Or?

0:26:47.600 --> 0:26:50.280
<v Speaker 1>I mean, in casey, I love your analogy, if we

0:26:50.280 --> 0:26:52.560
<v Speaker 1>get a discount on something.

0:26:52.200 --> 0:26:54.280
<v Speaker 3>We're just like, yeah, take whatever you want.

0:26:55.240 --> 0:26:56.760
<v Speaker 2>Here's here's my mother's maiden name.

0:26:56.800 --> 0:27:00.760
<v Speaker 1>But are we just that lazy, like where our brains

0:27:00.800 --> 0:27:03.119
<v Speaker 1>are just wired for heuristics, like we just want the

0:27:03.160 --> 0:27:04.280
<v Speaker 1>shortcuts everywhere.

0:27:05.040 --> 0:27:09.000
<v Speaker 10>I think there have been some major changes and you

0:27:09.040 --> 0:27:11.359
<v Speaker 10>can see it when you log onto social media, right.

0:27:11.400 --> 0:27:13.919
<v Speaker 10>You used to log onto Facebook and Instagram and you

0:27:13.960 --> 0:27:16.640
<v Speaker 10>see your friends and family. Now you see a clip

0:27:16.680 --> 0:27:19.520
<v Speaker 10>from a podcast you've never heard of, right, And that's

0:27:19.680 --> 0:27:21.680
<v Speaker 10>you know, has several causes behind it, but one of

0:27:21.720 --> 0:27:24.320
<v Speaker 10>the big ones is that Americans are sharing less. The

0:27:24.359 --> 0:27:26.920
<v Speaker 10>whole bargain that they struck with Facebook of hey, I'll

0:27:26.960 --> 0:27:29.760
<v Speaker 10>give you all my information in exchange for you keeping

0:27:29.840 --> 0:27:32.320
<v Speaker 10>up on the divorces of my high school classmates. That

0:27:32.400 --> 0:27:34.760
<v Speaker 10>bargain doesn't feel like that's as good anymore. And so

0:27:34.800 --> 0:27:37.520
<v Speaker 10>all the real sharing is happening in these private group chats,

0:27:37.520 --> 0:27:39.399
<v Speaker 10>and all the public stuff is kind of more you know,

0:27:39.480 --> 0:27:42.160
<v Speaker 10>creator content and you know, celebrities and all of that.

0:27:42.440 --> 0:27:44.439
<v Speaker 5>So in that respect, I really do think things have

0:27:44.560 --> 0:27:45.440
<v Speaker 5>changed now.

0:27:45.520 --> 0:27:48.200
<v Speaker 10>At the same time, can I get you to give

0:27:48.280 --> 0:27:53.080
<v Speaker 10>up information if I give you something of relatively low value? Yes,

0:27:53.160 --> 0:27:55.320
<v Speaker 10>I think that is still broadly the case across you know,

0:27:55.480 --> 0:27:56.440
<v Speaker 10>many different dimensions.

0:27:56.440 --> 0:28:00.760
<v Speaker 11>Well, And I also think like AI has become the

0:28:00.840 --> 0:28:03.560
<v Speaker 11>sort of next frontier of this because people are sharing

0:28:03.920 --> 0:28:07.960
<v Speaker 11>all kinds of stuff with pots. People are having therapy sessions. Yeah,

0:28:07.960 --> 0:28:13.359
<v Speaker 11>they're confessing their crimes. They're like people are doing People

0:28:13.400 --> 0:28:16.080
<v Speaker 11>are having these conversations that are very intimate in some cases,

0:28:16.600 --> 0:28:21.080
<v Speaker 11>and I don't think they know or particularly care what's

0:28:21.080 --> 0:28:22.920
<v Speaker 11>happening to that data on the other end.

0:28:23.520 --> 0:28:25.320
<v Speaker 2>Wow, Yeah, I don't know.

0:28:25.359 --> 0:28:28.760
<v Speaker 1>I just I've gotten much more anxious about this over

0:28:28.800 --> 0:28:29.840
<v Speaker 1>the last few years.

0:28:30.119 --> 0:28:31.600
<v Speaker 11>What kinds of times are you doing it?

0:28:32.560 --> 0:28:35.320
<v Speaker 1>Oh my gosh, Well, I mean the stuff I've already

0:28:35.359 --> 0:28:37.040
<v Speaker 1>told to Chad Gbt.

0:28:36.840 --> 0:28:40.000
<v Speaker 2>It's all, that's all, just in the murder category.

0:28:42.040 --> 0:28:46.240
<v Speaker 1>Snaffo is a production of iHeart Podcasts and Snaffoo Media,

0:28:46.360 --> 0:28:50.560
<v Speaker 1>a partnership between Film Nation Entertainment and Pacific Electric Picture Company.

0:28:50.760 --> 0:28:54.320
<v Speaker 1>Post production and creative support from Good Egg Audio. Our

0:28:54.360 --> 0:28:58.440
<v Speaker 1>executive producers are me Ed Helms, Mike Falbo, Glenn Basner,

0:28:58.560 --> 0:29:02.720
<v Speaker 1>Andy Kim, and Dylan This episode was produced by Alyssa

0:29:02.720 --> 0:29:06.880
<v Speaker 1>Martino and Tory Smith. Our managing producer is Carl Nellis.

0:29:07.240 --> 0:29:11.280
<v Speaker 1>Our video editor is Jared Smith. Technical direction and engineering

0:29:11.280 --> 0:29:15.000
<v Speaker 1>from Nick Dooley. Additional story editing from Carl Nellis. Our

0:29:15.040 --> 0:29:18.520
<v Speaker 1>creative executive is Brett Harris. Logo and branding by Matt

0:29:18.560 --> 0:29:23.000
<v Speaker 1>Gosson and the Collected Works. Legal review from Dan Welsh,

0:29:23.160 --> 0:29:27.480
<v Speaker 1>Meghan Halson and Caroline Johnson. Special thanks to Isaac Dunham,

0:29:27.560 --> 0:29:31.760
<v Speaker 1>Adam Horn, Lane Klein, and everyone at iHeart Podcasts, but

0:29:31.880 --> 0:29:36.120
<v Speaker 1>especially Will Pearson, Carrie Leeberman and Nikki Ator. While I

0:29:36.200 --> 0:29:38.400
<v Speaker 1>have you, don't forget to pick up a copy of

0:29:38.480 --> 0:29:42.320
<v Speaker 1>my book, Snaffoo, The Definitive Guide to History's.

0:29:41.880 --> 0:29:43.080
<v Speaker 2>Greatest screw Ups.

0:29:43.160 --> 0:29:46.280
<v Speaker 1>It's available now from any book retailer. Just go to

0:29:46.560 --> 0:29:49.240
<v Speaker 1>snaffoo dashbook dot com.

0:29:49.480 --> 0:29:51.840
<v Speaker 3>Thanks for listening, and see you next week.