WEBVTT - Ep134 "What do brains teach us about morality?" with Joshua Greene

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<v Speaker 1>Why will your brain gladly flip a switch to save

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<v Speaker 1>five lives at the cost of one life, but it

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<v Speaker 1>will refuse to push one person off a bridge to

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<v Speaker 1>accomplish the same thing. Why do Buddhist monks and psychopaths

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<v Speaker 1>and patients like Phineas gage behave differently than you might?

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<v Speaker 1>And what happens when ancient moral instincts collide with modern

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<v Speaker 1>problems like pandemics and AI alignment and political tribalism. Could

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<v Speaker 1>a simple online game reduce polarization? And could you contribute

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<v Speaker 1>to charities more effectively if you understood how your moral

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<v Speaker 1>brain works. This week on Inner Cosmos, my colleague Joshua

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<v Speaker 1>Green helps us open the hood on human morality and

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<v Speaker 1>asks whether we can build technologies that steer us towards

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<v Speaker 1>cooperation in a world our brains weren't built for. Welcome

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<v Speaker 1>to Intercosmos with me, David Eagleman. I'm a neuroscientist and

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<v Speaker 1>author at Stanford, and in these episodes we sail deeply

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<v Speaker 1>into our three pound universe to understand how we see

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<v Speaker 1>the world, and, for that matter, how we see each other.

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<v Speaker 2>When you peer.

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<v Speaker 1>Into the human brain, you find a machine built on

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<v Speaker 1>conflict on the one hand, it's exquisitely tuned to the

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<v Speaker 1>immediacy of social life, reading faces, sensing fairness, feeling indignation

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<v Speaker 1>when someone breaks the rules, feeling compassion when someone needs help.

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<v Speaker 1>These emotional circuits evolved to help the oldest problem of

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<v Speaker 1>group living, to bind us together, to keep our small

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<v Speaker 1>bands cohesive, to punish the cheaters, to reward the cooperators.

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<v Speaker 1>These systems are fast and automatic and deeply intuitive, and

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<v Speaker 1>at the same time housed in the very same skullp

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<v Speaker 1>we have slower, more deliberative systems. This is the circuitry

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<v Speaker 1>that lets us step back, cool off, calculate, imagine alternative futures.

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<v Speaker 1>It allows us to override that first impulse and to

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<v Speaker 1>ask what actually leads to the best outcome, what matters

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<v Speaker 1>the most in this situation. Our brains can operate in

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<v Speaker 1>both of these modes, and most of the time we

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<v Speaker 1>toggle between the two without even noticing.

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<v Speaker 2>And as we'll see.

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<v Speaker 1>Today, our moral lives exist in a strange dance between

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<v Speaker 1>instinct and reflection. The strange part is that evolution never

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<v Speaker 1>anticipated that we would one day wield these moral instincts

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<v Speaker 1>on a planetary scale. Our emotional machinery was designed for

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<v Speaker 1>life in small groups of hunter gatherers, not a world

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<v Speaker 1>of eight billion people with global pandemics and climate changed

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<v Speaker 1>and polarized democracies. But we bring the same ancient intuitions

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<v Speaker 1>to all of it. We still divide the world into

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<v Speaker 1>us and them. We still experience harm differently depending on

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<v Speaker 1>whether it's direct or indirect. We still recoil from active

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<v Speaker 1>wrongdoing far more than passive neglect. Sometimes these instincts guide

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<v Speaker 1>us well, other times they mislead us. If you want

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<v Speaker 1>to understand the tensions at the heart of modern ethical life,

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<v Speaker 1>from trolley problems, which we'll talk about in a second,

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<v Speaker 1>to end of life decisions, from pandemic policy to political tribalism,

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<v Speaker 1>we have to understand how this dual process, this moral brain,

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<v Speaker 1>actually works. We have to understand why we help, why

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<v Speaker 1>we punish, and why certain dilemmas feel difficult even when

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<v Speaker 1>the math is simple. So this is why I called

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<v Speaker 1>my colleague Joshua Green today. Josh is at Harvard where

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<v Speaker 1>he's a psychologist and a neuroscientist and a philosopher, and

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<v Speaker 1>his lab studies how we make moral judgments, how our

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<v Speaker 1>fast gut reactions and our slow reasoning systems work together

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<v Speaker 1>and sometimes work against each other.

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<v Speaker 2>He's the author of.

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<v Speaker 1>A book called Moral Tribes, where he argues that our

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<v Speaker 1>everyday moral sense works beautifully within groups, but can fail

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<v Speaker 1>spectacularly between groups. And I want to mention that Josh

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<v Speaker 1>has been working lately on going beyond describing the machinery.

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<v Speaker 1>He's begun building tools what he calls moral technologies to

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<v Speaker 1>help societies navigate around our blind spot. So well, here

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<v Speaker 1>about tools which help people donate in more impactful ways,

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<v Speaker 1>or online games that measurably reduce political animosity.

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<v Speaker 2>In other words, how.

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<v Speaker 1>Can we actually engineer cooperation rather than just hope for it.

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<v Speaker 1>So today we're going to zoom into the moral mind,

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<v Speaker 1>where emotions meet reason, where tribes collide, and where ancient

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<v Speaker 1>circuitry tries to steer a modern world.

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<v Speaker 2>So let's dive in.

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<v Speaker 1>So, Josh, when you look at the sense of morality

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<v Speaker 1>that our brains generate, what is that for? What problem

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<v Speaker 1>was evolution trying to solve there?

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<v Speaker 3>So morality is kind of a mystery from an evolutionary

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<v Speaker 3>point of view, because if you think about evolution in

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<v Speaker 3>the most straightforward terms, you would think that the greediest,

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<v Speaker 3>brawniest individuals would be the ones who get the most

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<v Speaker 3>resources and are able to produce the most offspring. And

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<v Speaker 3>why would anyone ever be nice to anybody else? And

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<v Speaker 3>this is something that really bothered Darwin right from from

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<v Speaker 3>the beginning, and people even said to him, Look, how

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<v Speaker 3>could you possibly explain any kind of human goodness if

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<v Speaker 3>nature is red in tooth and claws, as Tennyson famously

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<v Speaker 3>said about Darwin's theory. And he thought about this and

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<v Speaker 3>his answer was one that turned out to be very precient.

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<v Speaker 3>So he recognized that while individuals may benefit from being

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<v Speaker 3>ruthless and nasty, teams of individuals, groups of individuals can

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<v Speaker 3>benefit from being more cooperative within the group. Right, if

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<v Speaker 3>you're a member of a group where you know, if

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<v Speaker 3>you fall in the river tough luck, then that group

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<v Speaker 3>may not survive very well, even if the individual who

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<v Speaker 3>carried on hunting instead of rescuing you does a little

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<v Speaker 3>bit better. And so the idea that we depend on

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<v Speaker 3>each other, that teamwork is a powerful weapon for you know,

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<v Speaker 3>fighting against the elements but also out competing other groups.

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<v Speaker 3>That idea emerged early on, early on, along with the

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<v Speaker 3>idea that individuals who are genetically related uh can can

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<v Speaker 3>benefit their their genes indirectly by by by helping others.

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<v Speaker 2>So that's the sort of idea.

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<v Speaker 3>At a strategic biological level, why would anyone ever look

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<v Speaker 3>out for anybody else? And then on a psychological level,

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<v Speaker 3>the question is how does this work? And it mostly

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<v Speaker 3>works at the level of what we might call social emotions.

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<v Speaker 3>That is, you, you know, if if someone's in trouble,

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<v Speaker 3>you have a sense of vicarious distress and you're motivated

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<v Speaker 3>to help them. Or if someone's not being a good

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<v Speaker 3>cooperative member of the group, you might be angry at

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<v Speaker 3>them and might want to punish them or let other

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<v Speaker 3>people know what a jerk that guy is is being.

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<v Speaker 3>So it kind of operates on on on two levels,

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<v Speaker 3>uh the level of surviving through cooperation, and I think

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<v Speaker 3>of morality as a suite of psychological mechanisms that enable

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<v Speaker 3>us to be more effective cooperators. And then this is

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<v Speaker 3>implemented largely emotionally, but we can also use our reasoning

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<v Speaker 3>capacities to figure out how to make our way in

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<v Speaker 3>the moral and social world. And it's that duality that

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<v Speaker 3>gives rise to some of the most interesting dilemmas that

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<v Speaker 3>we've studied.

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<v Speaker 1>And you've used the analogy of a camera when it

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<v Speaker 1>comes to that duality, can you unpack that for us?

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<v Speaker 3>So, at least the old sort of digital SLR camera

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<v Speaker 3>that I have, you know, have these little automatic settings

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<v Speaker 3>like portrait mode and landscape mode, and if you want

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<v Speaker 3>to take a picture of a mountain from a mile away,

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<v Speaker 3>then you know, you put it in landscape mode and

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<v Speaker 3>it does everything and configures it in that kind of,

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<v Speaker 3>you know, familiar situation that the manufacturers of the camera anticipated.

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<v Speaker 3>But let's say you know you're an artist and you've

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<v Speaker 3>got your idea about exactly the sort of off kilter

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<v Speaker 3>shot that you want with the light just so and

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<v Speaker 3>trying to get a certain weird effect. Then you want

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<v Speaker 3>to put the camera in manual mode and adjust the

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<v Speaker 3>f stop and everything yourself to take advantage of your

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<v Speaker 3>understanding the situation and your understanding of your goals and

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<v Speaker 3>get exactly the shot that you want. And you can

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<v Speaker 3>think of intuition and including emotional intuitions as like those

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<v Speaker 3>automatic settings, where this is a sort of ready made

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<v Speaker 3>response for this kind of situation, and it can be

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<v Speaker 3>something that we have acquired biologically speaking, that we automatically

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<v Speaker 3>dislike certain smells or some people argue that we or

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<v Speaker 3>other species have an automatic fear of snakes that might

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<v Speaker 3>be poisonous and things like that. But a lot of

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<v Speaker 3>it is stuff that we have learned, essentially, habits that

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<v Speaker 3>we have acquired. But whether it comes from our individual

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<v Speaker 3>experience or things we've learned culturally, or if it's part

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<v Speaker 3>of our genetic endowment, it's all in the form of

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<v Speaker 3>ready made, quick responses to situations that are either familiar

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<v Speaker 3>in our biological history, our cultural history, or our personal history.

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<v Speaker 3>And then on the other side, we've got our reasoning abilities,

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<v Speaker 3>where we can look at the situation and say, Okay,

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<v Speaker 3>normally I don't like to jump out of buildings, but

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<v Speaker 3>if the building's on fire, maybe that's something I've got

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<v Speaker 3>to do in this case.

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<v Speaker 1>So, with this dual process nature, you've got fast gut reactions,

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<v Speaker 1>you've got slower, more controlled reasoning. So how does this

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<v Speaker 1>play out in the domain of morality.

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<v Speaker 3>You can see this tension between kind of the automatic

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<v Speaker 3>response and the more detached reason response in moral dilemmas

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<v Speaker 3>that are sometimes.

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<v Speaker 2>Called trolley problems.

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<v Speaker 3>Right, So in the classic pair of cases, you've got

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<v Speaker 3>a trolley that is headed towards five people, and the

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<v Speaker 3>only way that you can save them is to hit

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<v Speaker 3>a switch that will turn the trolley onto another track.

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<v Speaker 3>But unfortunately there's another person there. And the question is

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<v Speaker 3>can you hit the switch to avoid having the five

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<v Speaker 3>get killed? And there most people say yes, that's okay.

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<v Speaker 3>But from a cognitive science point of view, the most

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<v Speaker 3>interesting thing is the contrast between that case where you're

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<v Speaker 3>hitting a switch and turning the trolley away from five

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<v Speaker 3>but onto one, and the classic footbridge case. So this

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<v Speaker 3>is where the trolley is again headed towards five people.

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<v Speaker 3>This time you are on a footbridge over the tracks,

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<v Speaker 3>and the only way you can say to those five

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<v Speaker 3>people is to do something that's pretty uncomfortable. There's a

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<v Speaker 3>guy next to you wearing a big backpack, and you

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<v Speaker 3>can throw the guy with the big backpack onto the

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<v Speaker 3>tracks and then he'll be a trolley stopper and stop

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<v Speaker 3>the trolley from killing the five people. But that person

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<v Speaker 3>will be killed, and you can't jump yourself because you're

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<v Speaker 3>not wearing the big backpack, so this wouldn't work. And

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<v Speaker 3>we're going to suspend disbelief and assume that you have

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<v Speaker 3>good aim and all of that stuff, and even with

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<v Speaker 3>all of those somewhat unrealistic assumptions in place, most people

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<v Speaker 3>say that it's wrong to push the guy off the footbridge,

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<v Speaker 3>or they at least feel a lot more uncomfortable about it.

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<v Speaker 3>And so the nice thing about these cases is in

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<v Speaker 3>some sense they're very similar death by trolley, five lives

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<v Speaker 3>versus one, and yet we give very different responses to them.

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<v Speaker 3>And this was the thing that kind of got me

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<v Speaker 3>into cognitive neuroscience, you know, many years ago, twenty years

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<v Speaker 3>ago or whatever it was when you and I first

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<v Speaker 3>met and started looking at this with brain imaging.

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<v Speaker 1>So give us the punchline of why people are happy

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<v Speaker 1>to flip the switch in the first case and they

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<v Speaker 1>are not in the second case, and what your brain

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<v Speaker 1>imaging studies revealed there.

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<v Speaker 3>Yeah, so that the short answer seems to be that

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<v Speaker 3>we have a kind of negative emotional response to the

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<v Speaker 3>thought of pushing the guy off the footbridge that we

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<v Speaker 3>don't have in response to hitting the switch in that case.

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<v Speaker 1>And why and.

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<v Speaker 3>Then right, And so we can answer that question on

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<v Speaker 3>sort of two levels. What's going on in the dilemma

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<v Speaker 3>that makes us feel differently, and then what's going on

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<v Speaker 3>in our brains that is the basis for having that

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<v Speaker 3>differential response. So in terms of what's going on on

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<v Speaker 3>in the dilemma, there are three things that really seem

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<v Speaker 3>to be driving the effect, although there are other things

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<v Speaker 3>you could vary as well. But the difference is between

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<v Speaker 3>the switch case and the footbridge case. And these were

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<v Speaker 3>nicely identified, and since we're fined by people like my

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<v Speaker 3>colleague Fiery Cushman.

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<v Speaker 2>So one is that.

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<v Speaker 3>Well, actually, one thing that's just in the background is

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<v Speaker 3>that harm is much more salient when it's active rather

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<v Speaker 3>than passive, and that's true in both of these cases.

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<v Speaker 3>The two things that really differentiate these cases are one

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<v Speaker 3>the harm is more direct when you're pushing the guy

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<v Speaker 3>off the footbridge, so we call this personal force. This is,

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<v Speaker 3>you know, if you're pushing with your hands or pushing

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<v Speaker 3>even with a stick, that feels worse than if you're

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<v Speaker 3>hitting a switch. Even if you're hitting a switch, that

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<v Speaker 3>would drop the guy through the trap door.

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<v Speaker 2>Or something like that.

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<v Speaker 3>So it's just like the footbridge case, we see a

0:13:53.240 --> 0:13:57.800
<v Speaker 3>big difference there. That difference interacts with something else which

0:13:57.840 --> 0:14:00.680
<v Speaker 3>is a bit more subtle. It has a longer philosophic history,

0:14:01.040 --> 0:14:07.400
<v Speaker 3>and this is the difference between harming somebody purposefully.

0:14:06.080 --> 0:14:07.360
<v Speaker 2>Or as a side effect.

0:14:08.360 --> 0:14:11.120
<v Speaker 3>So the idea is that in the switch case, what

0:14:11.160 --> 0:14:13.120
<v Speaker 3>you're doing is you're turning the trolley away from the

0:14:13.160 --> 0:14:16.160
<v Speaker 3>five people, and as a side effect, you end up

0:14:16.240 --> 0:14:17.400
<v Speaker 3>running over the one person.

0:14:17.640 --> 0:14:19.360
<v Speaker 2>But that one person is not part of your plan.

0:14:19.440 --> 0:14:23.000
<v Speaker 3>If they were to magically disappear, that would be great,

0:14:23.200 --> 0:14:26.120
<v Speaker 3>Whereas in the footbridge case, you are using that person

0:14:26.120 --> 0:14:31.040
<v Speaker 3>as a trolley stopper, right. And it's that combination of

0:14:31.520 --> 0:14:35.160
<v Speaker 3>harming somebody in this purposeful way, using them as a means,

0:14:35.520 --> 0:14:37.680
<v Speaker 3>and doing it in this direct personal way. And then

0:14:37.720 --> 0:14:40.480
<v Speaker 3>in the background, is this the fact that it's active.

0:14:41.920 --> 0:14:44.360
<v Speaker 3>Those things combine to really give us our sense of

0:14:44.480 --> 0:14:48.000
<v Speaker 3>like what is a violent action. If you remove any

0:14:48.040 --> 0:14:50.760
<v Speaker 3>of those three things, it doesn't have that sense of

0:14:50.800 --> 0:14:53.240
<v Speaker 3>sort of immediate violence, like touching somebody in the face.

0:14:53.640 --> 0:14:56.440
<v Speaker 3>So that's sort of the trigger in terms of like

0:14:56.480 --> 0:14:59.120
<v Speaker 3>the features of the dilemma, the differences that make the

0:14:59.160 --> 0:15:00.720
<v Speaker 3>difference in terms of the situation.

0:15:01.760 --> 0:15:02.640
<v Speaker 2>Then you say, okay, so.

0:15:03.320 --> 0:15:08.440
<v Speaker 3>That combination of harming somebody in a way that's active, purposeful.

0:15:07.920 --> 0:15:10.920
<v Speaker 2>And direct, that gives us the sense of violence.

0:15:10.960 --> 0:15:14.040
<v Speaker 3>But what's going on in our heads and here I

0:15:14.040 --> 0:15:17.760
<v Speaker 3>think the best evidence actually comes from cases where people

0:15:17.800 --> 0:15:22.280
<v Speaker 3>have studied patients with brain damage, similar to the famous

0:15:22.320 --> 0:15:25.280
<v Speaker 3>case of Phineas Gauge. So if you've taken intro psychology

0:15:25.400 --> 0:15:27.560
<v Speaker 3>or have heard about it otherwise, you probably know about

0:15:27.600 --> 0:15:31.120
<v Speaker 3>this case. So this was a railroad form and living

0:15:31.200 --> 0:15:34.359
<v Speaker 3>in Vermont in the nineteenth century, working on the railroad

0:15:34.440 --> 0:15:38.239
<v Speaker 3>all the livelong day. And there was a terrible explosion

0:15:38.640 --> 0:15:42.640
<v Speaker 3>and an iron spike, a tamping iron was blasted out

0:15:42.680 --> 0:15:47.240
<v Speaker 3>of essentially a cannon, and it went into Phineas Gage's

0:15:47.520 --> 0:15:51.320
<v Speaker 3>eye socket, through the front of his brain, and out

0:15:51.320 --> 0:15:55.600
<v Speaker 3>the top of his head. And amazingly he survived once

0:15:55.640 --> 0:15:58.480
<v Speaker 3>the wound was treated. But when he survived, he didn't

0:15:58.520 --> 0:16:04.320
<v Speaker 3>survive intact. He his reasoning abilities, what you might loosely

0:16:04.360 --> 0:16:08.240
<v Speaker 3>call his sort of cognitive abilities, remain intact. He could speak,

0:16:08.320 --> 0:16:11.000
<v Speaker 3>he could do math problems, he could do basic reasoning.

0:16:11.480 --> 0:16:16.440
<v Speaker 3>But his personality, his character, his values, and his decision

0:16:16.480 --> 0:16:20.320
<v Speaker 3>making abilities, those things seem to be compromised, and he

0:16:20.400 --> 0:16:23.440
<v Speaker 3>ended up going from being this upstanding, you know, a

0:16:23.560 --> 0:16:27.600
<v Speaker 3>respected railroad officer who people looked or looked looked up to,

0:16:27.600 --> 0:16:31.040
<v Speaker 3>to a kind of lawless Wanderer, and this was one

0:16:31.080 --> 0:16:33.080
<v Speaker 3>of the first sort of clear indications that there are

0:16:33.160 --> 0:16:36.920
<v Speaker 3>distinct systems in the brain for that that that that

0:16:36.920 --> 0:16:41.800
<v Speaker 3>that handle things like social emotional decision making, things that

0:16:41.880 --> 0:16:44.440
<v Speaker 3>you kind of have to do by feel, by judgment,

0:16:44.840 --> 0:16:48.680
<v Speaker 3>rather than following some kind of formula or using some

0:16:48.760 --> 0:16:53.640
<v Speaker 3>previously acquired skill like your skill for for for for language.

0:16:53.760 --> 0:16:57.440
<v Speaker 3>After I did those initial brain imaging studies, a group

0:16:57.480 --> 0:17:00.720
<v Speaker 3>at the University of Iowa, a group in in Italy

0:17:00.800 --> 0:17:03.360
<v Speaker 3>also did a version of this where they tested patients

0:17:03.360 --> 0:17:07.400
<v Speaker 3>with damage like Phineas Gage. And these are patients that

0:17:07.640 --> 0:17:11.000
<v Speaker 3>you know Demasio kind of described as they know the words,

0:17:11.000 --> 0:17:14.199
<v Speaker 3>but they don't feel the music. They say things like

0:17:14.280 --> 0:17:16.080
<v Speaker 3>I'm looking at this picture you're showing me of a

0:17:16.160 --> 0:17:19.600
<v Speaker 3>gory car accident, and I know, before my brain tumor

0:17:19.680 --> 0:17:21.639
<v Speaker 3>or whatever it was, this used to bother me, but

0:17:21.760 --> 0:17:23.760
<v Speaker 3>now it just leaves me flat. So they don't have

0:17:23.800 --> 0:17:28.119
<v Speaker 3>that feeling. They're kind of emotionally cold. And what you

0:17:28.160 --> 0:17:30.840
<v Speaker 3>find with these people is that they're much more likely

0:17:30.880 --> 0:17:32.479
<v Speaker 3>to say that it's okay to push the guy off

0:17:32.520 --> 0:17:35.440
<v Speaker 3>the footbridge, right. And it's not just these two cases.

0:17:35.480 --> 0:17:37.119
<v Speaker 3>There are a lot of different dilemmas. You know, they

0:17:37.160 --> 0:17:40.879
<v Speaker 3>don't necessarily involve literal trolleys and things like that, And

0:17:41.280 --> 0:17:42.200
<v Speaker 3>this effect was huge.

0:17:42.240 --> 0:17:43.919
<v Speaker 2>You don't need statistics to analyze this.

0:17:44.040 --> 0:17:47.200
<v Speaker 3>You can just see it's like overwhelmingly, they're much more

0:17:47.280 --> 0:17:51.760
<v Speaker 3>likely to make those judgments. We've also found or others

0:17:51.800 --> 0:17:55.159
<v Speaker 3>have found that psychopaths are more likely to say that

0:17:55.200 --> 0:17:57.880
<v Speaker 3>it's okay to push the guy off the footbridge. And again,

0:17:57.920 --> 0:18:00.520
<v Speaker 3>the idea is that they can reason, but they don't

0:18:00.560 --> 0:18:04.440
<v Speaker 3>have that emotional moral sense, that sense of horror or

0:18:05.000 --> 0:18:08.120
<v Speaker 3>reluctance at directly harming somebody in this violent way.

0:18:08.720 --> 0:18:10.440
<v Speaker 2>But then something really interesting.

0:18:10.520 --> 0:18:13.080
<v Speaker 3>This is work that's unpublished, al though I'm pretty confident

0:18:13.119 --> 0:18:18.440
<v Speaker 3>about it. I had a fantastic undergrad named Shin Sheng

0:18:18.480 --> 0:18:22.800
<v Speaker 3>who's now long since graduated, who went to Tibet and

0:18:22.880 --> 0:18:27.720
<v Speaker 3>tested Buddhist monks on the footbridge case. And she tested

0:18:28.480 --> 0:18:32.320
<v Speaker 3>about fifty of them, and she found that eighty percent

0:18:32.359 --> 0:18:35.000
<v Speaker 3>of the Buddhist monks approved of pushing the guy off

0:18:35.040 --> 0:18:35.760
<v Speaker 3>the footbridge.

0:18:35.960 --> 0:18:37.959
<v Speaker 2>Now you might say why.

0:18:38.200 --> 0:18:39.840
<v Speaker 3>You know, when we ask people, what do you think

0:18:39.840 --> 0:18:42.480
<v Speaker 3>Buddhist monks would say about this? And they said, definitely,

0:18:42.520 --> 0:18:44.480
<v Speaker 3>they are not going to be like, you know, the

0:18:44.880 --> 0:18:49.440
<v Speaker 3>Phineas gauged patients and the psychopaths and that, so what's

0:18:49.600 --> 0:18:50.399
<v Speaker 3>that's really weird?

0:18:50.480 --> 0:18:54.000
<v Speaker 2>Right? And the idea is that you can reach with this.

0:18:53.960 --> 0:18:56.560
<v Speaker 3>Dual process approach where it's partly about how you feel

0:18:56.560 --> 0:18:59.240
<v Speaker 3>and partly about how you think you could reach the

0:18:59.280 --> 0:19:02.840
<v Speaker 3>same conclusion in different ways. So the Phineas gauge people

0:19:02.880 --> 0:19:05.959
<v Speaker 3>with the emotion related brain damage and the psychopaths who

0:19:06.040 --> 0:19:08.639
<v Speaker 3>don't have that emotional moral sense, they just don't have

0:19:08.680 --> 0:19:10.080
<v Speaker 3>the feeling that says no.

0:19:09.960 --> 0:19:11.880
<v Speaker 2>Don't do that horrible violence. Right.

0:19:12.600 --> 0:19:16.479
<v Speaker 3>The Buddhist monks said, yeah, I feel that, and I

0:19:16.520 --> 0:19:21.240
<v Speaker 3>sense that, but I have this more detached and expansive view,

0:19:21.800 --> 0:19:23.840
<v Speaker 3>and I can see in a case like this, if

0:19:23.840 --> 0:19:26.959
<v Speaker 3>it is really done with the noble intention of saving

0:19:27.000 --> 0:19:31.280
<v Speaker 3>more lives, then that can be acceptable. And many of them,

0:19:31.280 --> 0:19:34.880
<v Speaker 3>I think five different monks cited this sutra, this Buddhist

0:19:34.960 --> 0:19:38.760
<v Speaker 3>teaching about a ship captain who found himself in this

0:19:38.920 --> 0:19:41.320
<v Speaker 3>situation where he could kill somebody to prevent a much

0:19:41.359 --> 0:19:44.119
<v Speaker 3>greater harm, and he did that, and he did it

0:19:44.200 --> 0:19:46.240
<v Speaker 3>thinking that it was going to be bad karma for him,

0:19:46.400 --> 0:19:49.760
<v Speaker 3>but in fact he was reborn as a bodhisattva because

0:19:49.800 --> 0:19:51.000
<v Speaker 3>he had this noble intention.

0:20:06.680 --> 0:20:09.600
<v Speaker 1>So, given what we know about this moral machinery, are

0:20:09.600 --> 0:20:14.480
<v Speaker 1>there certain kinds of problems that we are systematically bad at?

0:20:14.960 --> 0:20:15.240
<v Speaker 2>Well?

0:20:15.280 --> 0:20:17.320
<v Speaker 3>You know, it's always controversial when it comes to efficult

0:20:17.359 --> 0:20:19.000
<v Speaker 3>questions of you know what, what's the right answer and

0:20:19.040 --> 0:20:22.560
<v Speaker 3>what's the wrong answer. But I think there are cases

0:20:22.600 --> 0:20:26.280
<v Speaker 3>where we're we're bad when it comes to causing harm

0:20:26.480 --> 0:20:29.160
<v Speaker 3>or or or And for example, when it.

0:20:29.080 --> 0:20:32.000
<v Speaker 2>Comes to physician assisted suicide.

0:20:32.320 --> 0:20:35.399
<v Speaker 3>Right, Let's say you have someone who has a terrible

0:20:35.480 --> 0:20:38.320
<v Speaker 3>terminal illness. They have you know, at most they're going

0:20:38.400 --> 0:20:40.200
<v Speaker 3>to live in another couple of months, but they're living

0:20:40.280 --> 0:20:43.160
<v Speaker 3>right now in agonizing pain. Let's say this is someone

0:20:43.160 --> 0:20:45.760
<v Speaker 3>whose bodies just riddled with cancer and they're just hanging

0:20:45.800 --> 0:20:48.040
<v Speaker 3>on and you know, despite all the drugs you can

0:20:48.080 --> 0:20:50.800
<v Speaker 3>give them, their their their their in miserable pain, and

0:20:50.840 --> 0:20:54.359
<v Speaker 3>they just want to say goodbye and be done for

0:20:54.400 --> 0:20:55.000
<v Speaker 3>a long time.

0:20:55.080 --> 0:20:56.359
<v Speaker 2>I don't know if this is still true.

0:20:56.440 --> 0:21:01.119
<v Speaker 3>The American Medical Association's position on this is no, you know,

0:21:01.880 --> 0:21:03.119
<v Speaker 3>you can't end life.

0:21:03.160 --> 0:21:04.280
<v Speaker 2>Life is sacred, et cetera.

0:21:04.400 --> 0:21:08.320
<v Speaker 3>Right, Whereas in other countries like the Netherlands, for example,

0:21:08.680 --> 0:21:11.480
<v Speaker 3>there are procedures and protocols and guardrails in place. But

0:21:11.520 --> 0:21:15.439
<v Speaker 3>if you want to end your life, typically in cases

0:21:15.480 --> 0:21:19.199
<v Speaker 3>where someone is has as a terminal illness and it

0:21:19.240 --> 0:21:21.720
<v Speaker 3>is a great deal of pain and distress, you can

0:21:21.760 --> 0:21:23.440
<v Speaker 3>do that, right, And you can think of this as

0:21:23.440 --> 0:21:26.000
<v Speaker 3>a case where the greater good is on the side

0:21:26.000 --> 0:21:28.119
<v Speaker 3>of letting this person and their life if that's what

0:21:28.160 --> 0:21:31.520
<v Speaker 3>they want. They're experiencing nothing but misery, and everyone around

0:21:31.520 --> 0:21:35.800
<v Speaker 3>them is just watching them suffer. But there's this sense that,

0:21:36.160 --> 0:21:39.080
<v Speaker 3>you know, ending this person's life actively is like pushing

0:21:39.160 --> 0:21:42.240
<v Speaker 3>somebody off of footbridge, and that is just inherently wrong.

0:21:42.680 --> 0:21:46.880
<v Speaker 1>Our moral instincts evolved for life in small groups. What

0:21:47.000 --> 0:21:49.439
<v Speaker 1>happens when you take a brain like this and you

0:21:49.520 --> 0:21:51.400
<v Speaker 1>drop it into the twenty first century?

0:21:52.200 --> 0:21:56.000
<v Speaker 3>Right, So the way I think about it is as

0:21:56.040 --> 0:21:58.520
<v Speaker 3>a kind of sequel to this famous.

0:21:58.359 --> 0:22:00.880
<v Speaker 2>Parable called the traad of the commons.

0:22:00.960 --> 0:22:04.600
<v Speaker 3>Right. So, the ecologist Garrett Harden had this famous paper

0:22:04.600 --> 0:22:08.679
<v Speaker 3>in nineteen sixty eight, and he was writing about over population,

0:22:08.760 --> 0:22:11.040
<v Speaker 3>which turned out to be not as big a concern

0:22:11.080 --> 0:22:14.000
<v Speaker 3>as he thought it was. But he had this very

0:22:14.080 --> 0:22:18.439
<v Speaker 3>nice story that sort of beautifully illustrates the challenge of

0:22:18.480 --> 0:22:20.760
<v Speaker 3>life in a group. Right, So he imagined a bunch

0:22:20.800 --> 0:22:24.720
<v Speaker 3>of herders living on a near a pasture, and each

0:22:24.800 --> 0:22:29.480
<v Speaker 3>of them has their separate herds, and each of them

0:22:29.520 --> 0:22:32.280
<v Speaker 3>says to themselves, well should I add more animals to

0:22:32.320 --> 0:22:34.119
<v Speaker 3>my herd? And they think, well, they're just grazing on

0:22:34.160 --> 0:22:36.720
<v Speaker 3>this common pasture, so why not bigger herd, more money

0:22:36.720 --> 0:22:39.680
<v Speaker 3>when I take my animals to market. So they all

0:22:39.720 --> 0:22:41.960
<v Speaker 3>grow their herds, and they all grow and grow and grow,

0:22:42.119 --> 0:22:44.040
<v Speaker 3>until at some point there are more animals on the

0:22:44.080 --> 0:22:47.600
<v Speaker 3>pastor than it can support, No food enough for any

0:22:47.640 --> 0:22:49.720
<v Speaker 3>of them, as they're scrambling to eat the last few

0:22:49.760 --> 0:22:52.280
<v Speaker 3>shreds of grass, and they all die. And that's the

0:22:52.320 --> 0:22:55.560
<v Speaker 3>tragedy of the commons. And this is the classic problem

0:22:55.680 --> 0:22:58.760
<v Speaker 3>of me versus us, where if everybody does the thing

0:22:58.760 --> 0:23:02.560
<v Speaker 3>that's in their individuals interest, then everybody ends up being

0:23:02.560 --> 0:23:05.959
<v Speaker 3>worse off or collectively worse off. And this is the

0:23:05.960 --> 0:23:09.360
<v Speaker 3>basic problem that human morality is designed to solve. Right,

0:23:09.600 --> 0:23:12.919
<v Speaker 3>So we have positive emotions and negative emotions that we

0:23:12.960 --> 0:23:15.000
<v Speaker 3>apply to ourselves and that we apply to.

0:23:15.320 --> 0:23:18.720
<v Speaker 2>Others in order to motivate us to be good hurders.

0:23:18.840 --> 0:23:22.240
<v Speaker 3>Right, So if you're if if you're a good hurder,

0:23:22.240 --> 0:23:25.200
<v Speaker 3>you have my gratitude. If you are a cheat and

0:23:25.280 --> 0:23:29.240
<v Speaker 3>herder who secretly grows herd, then you know you have

0:23:29.320 --> 0:23:32.160
<v Speaker 3>my anger and perhaps even my disgust. But if you're

0:23:32.320 --> 0:23:35.199
<v Speaker 3>if you if you help me out, then you have

0:23:35.320 --> 0:23:38.840
<v Speaker 3>my sympathy. And if I did something bad, I might

0:23:38.880 --> 0:23:42.680
<v Speaker 3>feel guilty. So that sort of suite of feelings carrots

0:23:42.680 --> 0:23:44.560
<v Speaker 3>and sticks that we can apply to ourselves and apply

0:23:44.600 --> 0:23:46.760
<v Speaker 3>to others that have governs life on the new pasture.

0:23:47.400 --> 0:23:52.120
<v Speaker 3>But in the modern world, we've got many tribes, we've

0:23:52.160 --> 0:23:56.480
<v Speaker 3>got many different groups, and there are different ways that

0:23:56.480 --> 0:23:59.080
<v Speaker 3>that that a tribe can get along, right, So you

0:23:59.119 --> 0:24:01.600
<v Speaker 3>could have a more end visualist tribe, let's say, where

0:24:01.600 --> 0:24:05.119
<v Speaker 3>instead of having a common pasture, you just privatize the

0:24:05.119 --> 0:24:08.000
<v Speaker 3>pasture and you divide it up into different plots and

0:24:08.160 --> 0:24:13.400
<v Speaker 3>everybody cooperates by having good fences and respecting other people's property.

0:24:13.080 --> 0:24:14.000
<v Speaker 2>Rights and things like that.

0:24:14.400 --> 0:24:18.359
<v Speaker 3>Or you can solve the problem by having everybody just

0:24:18.400 --> 0:24:20.720
<v Speaker 3>have a common pasture and a common herd, right, and

0:24:20.720 --> 0:24:22.720
<v Speaker 3>then you don't have to worry about who's growing there

0:24:22.760 --> 0:24:25.199
<v Speaker 3>private herds because there is no private herd. And then

0:24:25.240 --> 0:24:28.080
<v Speaker 3>there are questions about how to organize life more generally.

0:24:28.160 --> 0:24:30.639
<v Speaker 3>You know, are we going to have collective health insurance

0:24:30.640 --> 0:24:32.760
<v Speaker 3>for our humans and our sheep? Or can you defend

0:24:32.800 --> 0:24:35.760
<v Speaker 3>your sheep with an assault rifle? Or you know, who's

0:24:35.800 --> 0:24:38.399
<v Speaker 3>allowed to be in charge? Can you be a transgender herder?

0:24:38.640 --> 0:24:40.920
<v Speaker 3>Or you know, and so on and so forth, right,

0:24:41.440 --> 0:24:44.920
<v Speaker 3>And in my little sequel to Harden's parable, I imagine

0:24:44.960 --> 0:24:47.360
<v Speaker 3>something like this. You have a bunch of different tribes

0:24:47.720 --> 0:24:50.720
<v Speaker 3>that are living around this forest, and then one hot,

0:24:50.800 --> 0:24:53.160
<v Speaker 3>dry summer, there's a fire and the forest burns down,

0:24:53.200 --> 0:24:55.880
<v Speaker 3>and then the rains come and there's this lovely pasture

0:24:55.920 --> 0:24:58.359
<v Speaker 3>in the middle. And all of the tribes look at

0:24:58.400 --> 0:25:01.040
<v Speaker 3>this new pasture and they say, nice.

0:25:00.840 --> 0:25:03.320
<v Speaker 2>Pasture, and they all move in.

0:25:03.800 --> 0:25:05.840
<v Speaker 3>And the question is, what's going to happen when all

0:25:05.880 --> 0:25:08.320
<v Speaker 3>of those tribes, with their different ways of life, with

0:25:08.440 --> 0:25:11.679
<v Speaker 3>their different religious practices, with their different gender roles, with

0:25:11.720 --> 0:25:15.200
<v Speaker 3>their different ideas about violence and peace, with their different

0:25:15.200 --> 0:25:18.360
<v Speaker 3>ideas about individualism versus collectivism, etc.

0:25:19.200 --> 0:25:19.919
<v Speaker 2>What's it going to be?

0:25:20.040 --> 0:25:21.639
<v Speaker 3>Is it going to be a bloodbath where it's just

0:25:21.720 --> 0:25:24.440
<v Speaker 3>a fight of all against all and the winning tribe

0:25:24.440 --> 0:25:28.520
<v Speaker 3>emerges and imposes their tribal culture on everybody else, or

0:25:28.600 --> 0:25:30.880
<v Speaker 3>is there going to be some kind of new way

0:25:30.920 --> 0:25:33.320
<v Speaker 3>of organizing things that.

0:25:35.000 --> 0:25:36.640
<v Speaker 2>Deals with a modern culture.

0:25:36.760 --> 0:25:39.040
<v Speaker 3>Right, And this is I think exactly what's going on

0:25:39.119 --> 0:25:41.679
<v Speaker 3>in the United States right now and what's going on

0:25:42.000 --> 0:25:45.840
<v Speaker 3>in other countries, where one solution is essentially to say

0:25:46.119 --> 0:25:50.600
<v Speaker 3>blood and soil. This country is for this particular tribe

0:25:50.800 --> 0:25:53.480
<v Speaker 3>that got here first, that has historically been in charge.

0:25:53.560 --> 0:25:55.439
<v Speaker 3>Let's say we are Whites, we are Christians, we have

0:25:55.480 --> 0:25:58.080
<v Speaker 3>European heritage, we have certain ways of doing things and

0:25:58.160 --> 0:25:59.800
<v Speaker 3>other ways that we don't do things, and.

0:25:59.760 --> 0:26:01.880
<v Speaker 2>This is what this country is really about now.

0:26:01.880 --> 0:26:04.800
<v Speaker 3>Of course, in reality that that tribe is not really

0:26:04.840 --> 0:26:07.879
<v Speaker 3>a single tribe it itself is an amalgam of tribes.

0:26:07.920 --> 0:26:10.080
<v Speaker 3>You know, the Germans and the Irish didn't always consider

0:26:10.080 --> 0:26:14.800
<v Speaker 3>themselves the same people. But you know, at least there's

0:26:15.040 --> 0:26:20.600
<v Speaker 3>something closer to a smaller culturally identified US, right. Or

0:26:20.720 --> 0:26:24.840
<v Speaker 3>you can try to have a more modern, pluralistic country

0:26:24.880 --> 0:26:27.240
<v Speaker 3>where you say, all right, there are many different tribes

0:26:27.240 --> 0:26:30.080
<v Speaker 3>with many different cultures, and what we need is something

0:26:30.160 --> 0:26:33.119
<v Speaker 3>like what I call a metamorality. That is where a

0:26:33.160 --> 0:26:36.600
<v Speaker 3>morality is a system that enables a group of otherwise

0:26:36.600 --> 0:26:41.800
<v Speaker 3>selfish individuals to get along as a tribe. A metamorality

0:26:41.920 --> 0:26:45.000
<v Speaker 3>is a moral system that enables a group of otherwise

0:26:45.160 --> 0:26:50.480
<v Speaker 3>tribalistic tribes, where tribalism is essentially selfishness at the group level, right.

0:26:51.160 --> 0:26:54.119
<v Speaker 3>A meta morality is something that enables a group of

0:26:54.200 --> 0:26:57.840
<v Speaker 3>distinct tribes, different cultures, different different people of different backgrounds,

0:26:57.840 --> 0:27:00.600
<v Speaker 3>maybe racist or religions, to.

0:27:00.200 --> 0:27:02.320
<v Speaker 2>Get along together in a modern context.

0:27:02.760 --> 0:27:05.320
<v Speaker 3>And I think that what we're figuring out right now

0:27:05.920 --> 0:27:10.680
<v Speaker 3>in the US, in Europe, in India, in Brazil, in Israel, Gaza,

0:27:10.880 --> 0:27:13.439
<v Speaker 3>is are we going? Is there going to be a

0:27:13.480 --> 0:27:16.639
<v Speaker 3>big us? Are we going to live in a real

0:27:16.720 --> 0:27:22.400
<v Speaker 3>sort of modern modern democracy where power is truly shared

0:27:22.560 --> 0:27:26.800
<v Speaker 3>among groups with different histories and traditionally different moral ideals,

0:27:27.119 --> 0:27:30.080
<v Speaker 3>Or does democracy only work when you have a sort

0:27:30.119 --> 0:27:35.000
<v Speaker 3>of core dominant tribe and guests right as long as

0:27:35.000 --> 0:27:35.840
<v Speaker 3>they're well behaved?

0:27:36.000 --> 0:27:36.240
<v Speaker 2>Right?

0:27:37.320 --> 0:27:40.159
<v Speaker 3>And I think that is the big political question that

0:27:40.160 --> 0:27:41.320
<v Speaker 3>we're that we're facing.

0:27:41.600 --> 0:27:44.800
<v Speaker 1>Give us an example where our gut reaction sort of

0:27:44.840 --> 0:27:50.159
<v Speaker 1>morality is exactly the wrong thing in a modern global context,

0:27:50.680 --> 0:27:54.680
<v Speaker 1>large scale policy decisions, things involving climate or pandemics or

0:27:54.760 --> 0:27:55.320
<v Speaker 1>risk of Ai.

0:27:56.160 --> 0:28:00.240
<v Speaker 3>Yeah, so I would say, you know, cultures can be

0:28:00.320 --> 0:28:03.919
<v Speaker 3>more individualistic or collectivist, and I think you see this

0:28:04.040 --> 0:28:05.760
<v Speaker 3>playing out in a lot of the issues that you mentioned.

0:28:05.760 --> 0:28:07.680
<v Speaker 2>Is ate the case of pandemics.

0:28:08.080 --> 0:28:11.040
<v Speaker 3>There's a real trade off there, right, that that that

0:28:11.080 --> 0:28:16.480
<v Speaker 3>the pandemic restrictions really restricted people's individual freedom, restricted their

0:28:16.480 --> 0:28:19.240
<v Speaker 3>individual economic freedom, their ability to make money. And in

0:28:19.280 --> 0:28:23.040
<v Speaker 3>a country that doesn't have a strong social safety net,

0:28:24.080 --> 0:28:26.520
<v Speaker 3>telling people that they who don't who can't work from home,

0:28:26.560 --> 0:28:28.840
<v Speaker 3>that they're not allowed to work, I mean that's like,

0:28:28.960 --> 0:28:31.000
<v Speaker 3>in some ways, like an economic prison sentence.

0:28:31.080 --> 0:28:31.280
<v Speaker 2>Right.

0:28:31.640 --> 0:28:33.600
<v Speaker 3>But at the same time, there was a real disease

0:28:33.640 --> 0:28:36.120
<v Speaker 3>and we didn't really understand that, and people were dying.

0:28:36.240 --> 0:28:38.000
<v Speaker 2>And you know, and and and and.

0:28:37.960 --> 0:28:40.640
<v Speaker 3>More people interacting with each other would predictably lead to

0:28:41.280 --> 0:28:44.560
<v Speaker 3>more death. And so there was a trade off between

0:28:44.640 --> 0:28:47.400
<v Speaker 3>saying we have a collective problem and we all have

0:28:47.440 --> 0:28:51.000
<v Speaker 3>to make sacrifices to solve it, or saying, well, there

0:28:51.000 --> 0:28:53.360
<v Speaker 3>are trade offs here, and we're going to let individuals

0:28:53.720 --> 0:28:57.400
<v Speaker 3>or or churches or businesses or cities and towns or

0:28:57.400 --> 0:29:02.240
<v Speaker 3>whatever it is make their own decisions about how to

0:29:02.320 --> 0:29:06.680
<v Speaker 3>navigate the trade off between freedom and public health. Similar

0:29:06.760 --> 0:29:09.160
<v Speaker 3>when it comes to climate change, right, I mean, it's partly,

0:29:09.280 --> 0:29:11.520
<v Speaker 3>you know, a debate about the background evidence and whether

0:29:11.600 --> 0:29:12.280
<v Speaker 3>or not it's real.

0:29:12.440 --> 0:29:13.680
<v Speaker 2>But I think behind.

0:29:13.360 --> 0:29:16.840
<v Speaker 3>That is a set of different orientations where some people

0:29:16.920 --> 0:29:19.680
<v Speaker 3>are very skeptical of the idea that there is this

0:29:19.760 --> 0:29:21.880
<v Speaker 3>global problem and we all have to change the way

0:29:21.880 --> 0:29:25.120
<v Speaker 3>we live and make sacrifices in order to address it,

0:29:26.160 --> 0:29:29.400
<v Speaker 3>versus people who they're going to set a very high

0:29:29.440 --> 0:29:32.000
<v Speaker 3>bar for the evidence before they give up their individual

0:29:32.000 --> 0:29:34.640
<v Speaker 3>freedom to you know, drive the kind of car they

0:29:34.680 --> 0:29:38.760
<v Speaker 3>want to drive, or pay pay a gasoline tax, or

0:29:38.880 --> 0:29:41.600
<v Speaker 3>vote for politicians who want to you know, change the

0:29:41.640 --> 0:29:45.080
<v Speaker 3>way we get our energy and make electricity prices possibly

0:29:45.120 --> 0:29:46.680
<v Speaker 3>more higher, at least in the short term.

0:29:46.720 --> 0:29:49.240
<v Speaker 1>So, given everything that you've studied about the brain and

0:29:49.280 --> 0:29:53.000
<v Speaker 1>moral decision making, if you were advising a government or

0:29:53.000 --> 0:29:57.200
<v Speaker 1>some international body, what would you advise them about decision making?

0:29:58.080 --> 0:30:00.479
<v Speaker 3>So I think there are sort of two level here, right,

0:30:00.480 --> 0:30:03.800
<v Speaker 3>I mean, Partly, you know, I'm person with my own values,

0:30:04.800 --> 0:30:09.160
<v Speaker 3>and then there's sort of strategy. Whatever your values are. Now,

0:30:09.280 --> 0:30:12.720
<v Speaker 3>my values tend to be for the big us that

0:30:12.880 --> 0:30:15.960
<v Speaker 3>I am. I'm not a big fan of ethnic nationalism,

0:30:16.360 --> 0:30:18.600
<v Speaker 3>and I would like to see us be a more

0:30:18.680 --> 0:30:23.040
<v Speaker 3>effective pluralistic democracy, right, that's my goal. But that's you know,

0:30:23.360 --> 0:30:27.600
<v Speaker 3>if you're a true believer in a tribal way of life,

0:30:27.640 --> 0:30:29.840
<v Speaker 3>you might just say, well, I oppose that, and I'm

0:30:29.840 --> 0:30:31.040
<v Speaker 3>going to fight you every step of the.

0:30:30.960 --> 0:30:34.520
<v Speaker 2>Way whichever you choose.

0:30:34.560 --> 0:30:36.680
<v Speaker 3>But I'm now speaking from the perspective of sort of

0:30:36.680 --> 0:30:40.240
<v Speaker 3>a big tent, big us kind of of person. I

0:30:40.280 --> 0:30:45.160
<v Speaker 3>think the biggest lesson is you have to work. You

0:30:45.240 --> 0:30:49.440
<v Speaker 3>have to meet people where they are. You have to

0:30:49.560 --> 0:30:52.720
<v Speaker 3>understand that people who have different feelings than you do,

0:30:52.880 --> 0:30:57.560
<v Speaker 3>people who have different views about divisive moral issues, they

0:30:57.560 --> 0:30:59.920
<v Speaker 3>don't have to be evil to come to a different

0:31:00.080 --> 0:31:03.560
<v Speaker 3>conclusion from you, partly because they may just have different values,

0:31:03.600 --> 0:31:07.840
<v Speaker 3>and partly because they have made different background assumptions either

0:31:07.920 --> 0:31:10.200
<v Speaker 3>what they've heard from the people they trust about you know,

0:31:10.240 --> 0:31:13.240
<v Speaker 3>particular questions. You know, is climate change reel and things

0:31:13.280 --> 0:31:17.000
<v Speaker 3>like that, or or or or you know that background

0:31:17.280 --> 0:31:20.200
<v Speaker 3>values that come from their their their their upbringing, whether

0:31:20.240 --> 0:31:24.560
<v Speaker 3>it's you know, secular or religious. And so I think

0:31:24.680 --> 0:31:29.120
<v Speaker 3>that you know, people on the left, especially often shoot

0:31:29.160 --> 0:31:32.640
<v Speaker 3>themselves in the foot by being maximalist and by saying

0:31:32.800 --> 0:31:36.880
<v Speaker 3>Anyone who doesn't meet all of these demands right now

0:31:37.160 --> 0:31:41.040
<v Speaker 3>is evil and terrible and wants to you know, doesn't

0:31:41.080 --> 0:31:44.120
<v Speaker 3>care about human rights, doesn't care about the people who's

0:31:44.160 --> 0:31:47.160
<v Speaker 3>whose whose freedoms let's say, are are are are in question,

0:31:47.480 --> 0:31:49.600
<v Speaker 3>and are just bad people who need to be defeated,

0:31:49.720 --> 0:31:54.280
<v Speaker 3>right And I think that that approach it's very good

0:31:54.360 --> 0:31:58.560
<v Speaker 3>for winning votes within your subset, within your wing of

0:31:58.600 --> 0:32:02.760
<v Speaker 3>the Democratic Party, or power in parallel, your right most

0:32:02.920 --> 0:32:05.440
<v Speaker 3>wing of the Republican Party. But then you have a

0:32:05.440 --> 0:32:09.280
<v Speaker 3>hard time bringing the larger US together and speaking to

0:32:09.880 --> 0:32:13.959
<v Speaker 3>you the sixty seventy eighty percent who actually has a

0:32:14.000 --> 0:32:17.760
<v Speaker 3>fair amount of agreement on policy and doesn't want either

0:32:17.800 --> 0:32:20.480
<v Speaker 3>what the extreme right or the extreme left is offering.

0:32:20.560 --> 0:32:25.800
<v Speaker 3>So my general advice is to be pragmatic and strategic

0:32:26.360 --> 0:32:31.440
<v Speaker 3>and be flexible enough to form the kind of coalition

0:32:31.480 --> 0:32:36.040
<v Speaker 3>that can actually move things forward and not insist on

0:32:36.160 --> 0:32:37.600
<v Speaker 3>total moral victory.

0:32:37.760 --> 0:32:41.960
<v Speaker 1>Now, excellent, Okay, So so far we've been talking about

0:32:41.960 --> 0:32:45.840
<v Speaker 1>it's the complexities in the brain that lead to decision

0:32:45.880 --> 0:32:48.320
<v Speaker 1>making in the moral domain. But I want to turn

0:32:48.360 --> 0:32:51.520
<v Speaker 1>out to the fact that you've actually been building things

0:32:51.600 --> 0:32:56.120
<v Speaker 1>to try to steer moral decision making in a better way.

0:32:56.320 --> 0:32:59.480
<v Speaker 1>This is games, platforms interventions. Tell us about that.

0:33:00.360 --> 0:33:02.760
<v Speaker 3>Yeah, so thanks, this is something I'm really excited about,

0:33:02.840 --> 0:33:05.040
<v Speaker 3>and I'm really excited that you're joining the Pods Fight

0:33:05.120 --> 0:33:08.920
<v Speaker 3>Poverty program. I'll say more about that and what our

0:33:08.960 --> 0:33:10.720
<v Speaker 3>goals are, but let me say a little bit about

0:33:10.720 --> 0:33:13.680
<v Speaker 3>the science behind how this got started on my end. So,

0:33:14.160 --> 0:33:16.520
<v Speaker 3>one of the things that's most that are frustrating about

0:33:16.560 --> 0:33:19.160
<v Speaker 3>the trolley dilemas, in a particular one like the footbridge dilemma,

0:33:19.440 --> 0:33:22.400
<v Speaker 3>is that there is no satisfying solution that if you

0:33:22.560 --> 0:33:25.720
<v Speaker 3>say that it's okay to push the guy off the footbridge, yes,

0:33:25.840 --> 0:33:28.080
<v Speaker 3>you know you're saving five lives within the world of

0:33:28.080 --> 0:33:30.800
<v Speaker 3>this scenario, but it's going to feel like a horrible

0:33:30.840 --> 0:33:33.520
<v Speaker 3>act of violence, and you'd say, I wouldn't trust somebody

0:33:33.520 --> 0:33:36.600
<v Speaker 3>who's who would be willing to do that or at

0:33:36.640 --> 0:33:37.920
<v Speaker 3>least feel comfortable doing that.

0:33:38.080 --> 0:33:38.280
<v Speaker 2>Right.

0:33:39.680 --> 0:33:41.280
<v Speaker 3>On the other hand, if you say no, you can't

0:33:41.280 --> 0:33:43.160
<v Speaker 3>push the guy off the footbridge, well, then there are

0:33:43.200 --> 0:33:46.360
<v Speaker 3>five times as many people dead as necessary, and that's

0:33:46.360 --> 0:33:49.840
<v Speaker 3>pretty bad too, right, And I think that as long

0:33:49.880 --> 0:33:51.520
<v Speaker 3>as our brains work the way we work, you can

0:33:51.560 --> 0:33:52.920
<v Speaker 3>have an answer. But it's never going to be a

0:33:52.960 --> 0:33:58.000
<v Speaker 3>completely satisfying answer. In other domains, you actually can find

0:33:58.000 --> 0:34:01.920
<v Speaker 3>a satisfying answer. And in particular, what I have in

0:34:01.960 --> 0:34:07.120
<v Speaker 3>mind is the domain of charitable giving. So this begins

0:34:07.120 --> 0:34:10.239
<v Speaker 3>with a kind of superpower that we have that most

0:34:10.280 --> 0:34:10.920
<v Speaker 3>of us don't.

0:34:10.760 --> 0:34:11.520
<v Speaker 2>Realize that we have.

0:34:11.719 --> 0:34:13.520
<v Speaker 3>For those of us who you know, at the end

0:34:13.560 --> 0:34:15.560
<v Speaker 3>of the year have an extra few hundred dollars or

0:34:15.560 --> 0:34:19.400
<v Speaker 3>a thousand dollars or even more than that, the amount

0:34:19.440 --> 0:34:21.319
<v Speaker 3>of good that we can do is enormous, but it

0:34:21.400 --> 0:34:25.920
<v Speaker 3>requires doing it strategically. When I first sort of learned

0:34:25.960 --> 0:34:28.719
<v Speaker 3>about this, you know, I thought the difference between a

0:34:28.760 --> 0:34:31.800
<v Speaker 3>really effective charity and a charity that's not very effective

0:34:31.800 --> 0:34:33.959
<v Speaker 3>would be something like the difference between someone who's really

0:34:34.000 --> 0:34:36.200
<v Speaker 3>tall and someone who's not so tall. So a really

0:34:36.200 --> 0:34:39.800
<v Speaker 3>tall person might be fifty percent taller than someone's who's

0:34:39.800 --> 0:34:42.399
<v Speaker 3>pretty short. But in fact, the difference between the most

0:34:42.400 --> 0:34:45.680
<v Speaker 3>effective charities and ordinary charities is more like the difference

0:34:45.719 --> 0:34:48.760
<v Speaker 3>between redwood trees and little shrubs. You need one hundred

0:34:48.800 --> 0:34:51.040
<v Speaker 3>times different or close to a thousand times different. So

0:34:51.120 --> 0:34:52.840
<v Speaker 3>let me give you an example.

0:34:53.160 --> 0:34:57.600
<v Speaker 2>There is a.

0:34:55.760 --> 0:34:59.799
<v Speaker 3>Disease called trachoma that is not common in the US,

0:34:59.840 --> 0:35:03.160
<v Speaker 3>but common in other parts of the world, particularly in Africa.

0:35:03.400 --> 0:35:05.560
<v Speaker 3>And this is a disease that infects people's eyes and

0:35:05.600 --> 0:35:09.040
<v Speaker 3>can cause people to go blind, not as common in

0:35:09.080 --> 0:35:09.640
<v Speaker 3>the US.

0:35:09.800 --> 0:35:12.240
<v Speaker 2>In the US, people are blind for other reasons.

0:35:12.280 --> 0:35:13.759
<v Speaker 3>And if you want to help a blind person in

0:35:13.760 --> 0:35:15.920
<v Speaker 3>the US, one thing you could do is support the

0:35:15.960 --> 0:35:17.239
<v Speaker 3>training of a seeing i dog.

0:35:17.960 --> 0:35:19.760
<v Speaker 2>Training a seeing eye dog costs about.

0:35:19.520 --> 0:35:23.080
<v Speaker 3>Fifty thousand dollars, well worth it for the effect that

0:35:23.160 --> 0:35:27.920
<v Speaker 3>it has on someone's life, but fairly expensive as.

0:35:29.360 --> 0:35:31.160
<v Speaker 2>Something you can do to improve some of life goes.

0:35:31.920 --> 0:35:35.239
<v Speaker 3>A surgery that can prevent tracoma in a country in

0:35:35.320 --> 0:35:38.560
<v Speaker 3>Africa can cost less than one hundred dollars, which means

0:35:38.640 --> 0:35:41.880
<v Speaker 3>that you could fund over one hundred, maybe close to

0:35:41.920 --> 0:35:48.280
<v Speaker 3>one thousand trachoma surgeries, preventing hundreds of people from going

0:35:48.320 --> 0:35:53.200
<v Speaker 3>blind in the first place, for the cost of helping

0:35:53.200 --> 0:35:55.160
<v Speaker 3>someone who's already blind in the United States.

0:35:55.480 --> 0:35:56.399
<v Speaker 2>Now, I'm not.

0:35:56.520 --> 0:35:59.000
<v Speaker 3>Saying that we should just forget about people who are

0:35:59.040 --> 0:36:01.640
<v Speaker 3>blind in the United States. It's these people are humans.

0:36:01.640 --> 0:36:04.839
<v Speaker 3>They are part of our community. And you know, I'm

0:36:04.840 --> 0:36:07.680
<v Speaker 3>not saying to hell with them, but I think it

0:36:07.680 --> 0:36:11.480
<v Speaker 3>would be a moral mistake to ignore the enormous sort

0:36:11.520 --> 0:36:15.239
<v Speaker 3>of turbocharge good that we can do by finding the

0:36:15.239 --> 0:36:18.640
<v Speaker 3>most effective ways to help people, typically overseas, not because

0:36:18.640 --> 0:36:20.879
<v Speaker 3>they're far away, but because the money goes so much

0:36:20.920 --> 0:36:24.359
<v Speaker 3>farther and the problems are so much more dire and widespread.

0:36:24.680 --> 0:36:29.000
<v Speaker 3>So you know, the funding surgeries for tracoma is one example,

0:36:29.640 --> 0:36:33.880
<v Speaker 3>distributing insecticidal malaria nets for about five thousand dollars on average,

0:36:33.920 --> 0:36:36.880
<v Speaker 3>you can save somebody's life. Basically, this is distributing a

0:36:36.920 --> 0:36:39.399
<v Speaker 3>thousand malaria nets at the cost of five dollars each,

0:36:40.680 --> 0:36:44.120
<v Speaker 3>incentivizing mothers to have their children vaccinated. That can save

0:36:44.239 --> 0:36:48.800
<v Speaker 3>about on average, rue life for three thousand dollars. And

0:36:48.840 --> 0:36:51.160
<v Speaker 3>then there are things that have enormous improvements on people's

0:36:51.239 --> 0:36:54.240
<v Speaker 3>quality of life, so deworming treatments. So in other parts

0:36:54.239 --> 0:36:57.759
<v Speaker 3>of the world, people often children are beset by parasitic

0:36:57.760 --> 0:37:03.480
<v Speaker 3>worms that colini people's in digestive tracks very painful and

0:37:03.560 --> 0:37:05.640
<v Speaker 3>makes it hard to go to school and learn. And

0:37:05.680 --> 0:37:07.800
<v Speaker 3>for less than a dollar, you can provide a deworming

0:37:07.840 --> 0:37:10.759
<v Speaker 3>treatment that will rid a child of of of of

0:37:11.040 --> 0:37:13.239
<v Speaker 3>intestinal worms at least for a while until they get

0:37:13.280 --> 0:37:16.120
<v Speaker 3>their next treatment. For one hundred dollars. That's one hundred

0:37:16.200 --> 0:37:18.200
<v Speaker 3>children who are in a better position to go to school.

0:37:18.239 --> 0:37:19.799
<v Speaker 3>And when those kids go to school, of course, they're

0:37:19.800 --> 0:37:21.880
<v Speaker 3>more likely to earn money later in life and have

0:37:22.440 --> 0:37:25.080
<v Speaker 3>long term positive effects. And that's just in the domain

0:37:25.120 --> 0:37:28.839
<v Speaker 3>of of of global poverty and health. I'll mention one

0:37:28.840 --> 0:37:32.240
<v Speaker 3>other charity, which is Give Directly. This is a charity

0:37:32.440 --> 0:37:37.759
<v Speaker 3>that it is not focused on a specific intervention, and

0:37:37.800 --> 0:37:41.280
<v Speaker 3>those interventions often have sort of in randomized control trials,

0:37:41.320 --> 0:37:43.400
<v Speaker 3>the most bang for buck, but something that takes a

0:37:43.400 --> 0:37:47.160
<v Speaker 3>little bit more of an expansive view, this is giving

0:37:47.200 --> 0:37:50.239
<v Speaker 3>people money directly. And the way this happened was giving

0:37:50.280 --> 0:37:54.000
<v Speaker 3>give directly was started by economists who were studying the

0:37:54.480 --> 0:37:59.680
<v Speaker 3>efficacy of different types of health and poverty interventions. And

0:37:59.719 --> 0:38:02.560
<v Speaker 3>they said, well, we're good scientists. We need a control condition,

0:38:02.680 --> 0:38:06.560
<v Speaker 3>like what's standard of care, what's baseline? And they found

0:38:06.560 --> 0:38:08.840
<v Speaker 3>that there wasn't one. There was no sort of standard

0:38:08.840 --> 0:38:10.480
<v Speaker 3>thing to do. So they said, okay, well, let's just

0:38:10.520 --> 0:38:12.200
<v Speaker 3>take as our baseline. What would happen if you took

0:38:12.239 --> 0:38:14.799
<v Speaker 3>the money that you could use for this program and

0:38:15.080 --> 0:38:18.000
<v Speaker 3>just gave it to people directly. And what they found

0:38:18.080 --> 0:38:21.719
<v Speaker 3>was that just giving money people directly had better outcomes

0:38:21.960 --> 0:38:24.520
<v Speaker 3>than most of the things that people were trying to do,

0:38:24.920 --> 0:38:27.759
<v Speaker 3>and so they started this organization called GiveDirectly, which was

0:38:27.800 --> 0:38:31.880
<v Speaker 3>superpowered by the advent of digital banking. So you know,

0:38:32.400 --> 0:38:36.080
<v Speaker 3>in places where there are no telephone polls, right, but

0:38:36.200 --> 0:38:37.600
<v Speaker 3>there are satellites overhead.

0:38:38.040 --> 0:38:38.719
<v Speaker 2>You know, people in.

0:38:39.000 --> 0:38:42.200
<v Speaker 3>A remote poor village in Rwanda, someone there can have

0:38:42.239 --> 0:38:44.400
<v Speaker 3>a cell phone which enables them to do digital banking,

0:38:44.400 --> 0:38:47.080
<v Speaker 3>which opens up a world of economic opportunity. So give

0:38:47.120 --> 0:38:50.239
<v Speaker 3>Directly gives people money directly, and they can spend it

0:38:50.280 --> 0:38:54.640
<v Speaker 3>on immediate necessities, on food, on medicine, and then once

0:38:54.680 --> 0:38:58.000
<v Speaker 3>those basic needs are taken care of, they know what

0:38:58.080 --> 0:39:01.400
<v Speaker 3>to do. They can you know, and infrastructure, fix the

0:39:01.440 --> 0:39:03.640
<v Speaker 3>roof in your house, or they can do things that

0:39:03.680 --> 0:39:05.400
<v Speaker 3>can enable a more long term income.

0:39:05.480 --> 0:39:05.640
<v Speaker 2>Right.

0:39:05.719 --> 0:39:07.640
<v Speaker 3>So if you want to start a business and you

0:39:07.760 --> 0:39:10.160
<v Speaker 3>need a little motorcycle to get around so that you

0:39:10.160 --> 0:39:12.200
<v Speaker 3>can sell your goods, you need to be able to

0:39:12.200 --> 0:39:14.799
<v Speaker 3>make that capital investment. And so you know what I

0:39:14.920 --> 0:39:16.279
<v Speaker 3>like about this, and I think a lot of people

0:39:16.440 --> 0:39:19.439
<v Speaker 3>like about give directly is you know, it's not giving

0:39:19.520 --> 0:39:22.160
<v Speaker 3>someone to fish, and it's not teaching somebody to fish.

0:39:22.160 --> 0:39:24.120
<v Speaker 3>These people already know how to fish, so to speak.

0:39:24.320 --> 0:39:27.040
<v Speaker 3>This is giving somebody the money to buy, you know,

0:39:27.200 --> 0:39:30.759
<v Speaker 3>the fish for today, but also a fishing rod that

0:39:30.800 --> 0:39:32.920
<v Speaker 3>they can use, and they already know how to use,

0:39:32.960 --> 0:39:34.879
<v Speaker 3>and they just need to get over that economic hop.

0:39:35.000 --> 0:39:37.080
<v Speaker 3>So this is an incredible charity and this is one

0:39:37.120 --> 0:39:39.880
<v Speaker 3>that will that we're actively supporting with this program that

0:39:39.960 --> 0:39:42.279
<v Speaker 3>we're doing with podcasts. And I'll say a bit about that.

0:39:42.640 --> 0:39:46.759
<v Speaker 3>But back to the psychology, right, as I said with

0:39:46.840 --> 0:39:49.360
<v Speaker 3>the Footbridge case, you know, you just have this dilemma

0:39:49.360 --> 0:39:53.040
<v Speaker 3>where there's no satisfying solution when it comes to charitable giving.

0:39:53.120 --> 0:39:55.520
<v Speaker 3>There's the default thing that most people do, which is

0:39:55.560 --> 0:39:59.279
<v Speaker 3>to support charities that are personally meaningful to them.

0:39:59.360 --> 0:40:01.720
<v Speaker 2>So you love animals, you support the local animal shelter.

0:40:02.040 --> 0:40:04.920
<v Speaker 3>Your aunt died of breast cancer, so you support a

0:40:05.320 --> 0:40:08.279
<v Speaker 3>charity that does breast cancer research, right, and that is

0:40:08.440 --> 0:40:11.279
<v Speaker 3>a very good and noble and that's like, you know,

0:40:11.360 --> 0:40:13.120
<v Speaker 3>the best of humanity coming out there, right.

0:40:13.200 --> 0:40:14.799
<v Speaker 2>Don't want to say that that is a bad thing.

0:40:15.960 --> 0:40:19.600
<v Speaker 3>However, typically what people feel most connected to is not

0:40:19.719 --> 0:40:23.000
<v Speaker 3>as impactful as the kinds of things that I described,

0:40:23.120 --> 0:40:26.440
<v Speaker 3>like malaria, nets and deworming treatments and trachoma surgeries, and

0:40:26.440 --> 0:40:29.799
<v Speaker 3>and and and giving directly to people in poverty. So

0:40:29.880 --> 0:40:33.120
<v Speaker 3>the conventional sort of thing to do once you're someone

0:40:33.120 --> 0:40:35.680
<v Speaker 3>who's realized we need to be doing a lot more

0:40:36.120 --> 0:40:40.719
<v Speaker 3>super impact stuff is to say to people, hey, instead

0:40:40.880 --> 0:40:43.880
<v Speaker 3>of giving to the local animal shelter or supporting the

0:40:43.920 --> 0:40:46.319
<v Speaker 3>breast cancer research, you really should do this other thing

0:40:46.320 --> 0:40:49.440
<v Speaker 3>that's more impactful. And the problem is that a lot

0:40:49.440 --> 0:40:51.600
<v Speaker 3>of people say, yeah, I get it, but this is

0:40:51.640 --> 0:40:53.799
<v Speaker 3>my aunt, or yeah, I get it, but what I

0:40:53.840 --> 0:40:56.880
<v Speaker 3>really love is animals, right, and and and and you

0:40:56.920 --> 0:40:59.040
<v Speaker 3>know they don't they don't buy it, right. And so

0:41:00.360 --> 0:41:04.279
<v Speaker 3>my then post doc and I Lucius Caviola, who's now

0:41:04.760 --> 0:41:09.680
<v Speaker 3>a professor at Cambridge in the UK, thought is is

0:41:09.719 --> 0:41:12.360
<v Speaker 3>there a third way here? You know, the moral equivalent

0:41:12.400 --> 0:41:14.920
<v Speaker 3>of a third way? And it doesn't exist in the

0:41:14.960 --> 0:41:17.920
<v Speaker 3>trolley problem. And we had a simple idea, which is

0:41:17.960 --> 0:41:20.960
<v Speaker 3>instead of telling people, instead of doing the thing you

0:41:21.320 --> 0:41:23.960
<v Speaker 3>most want to do, do this other thing that's more impactful.

0:41:24.200 --> 0:41:25.879
<v Speaker 2>What if we just said to people, hey, why don't

0:41:25.920 --> 0:41:26.520
<v Speaker 2>you do both?

0:41:26.719 --> 0:41:26.879
<v Speaker 3>Right?

0:41:27.320 --> 0:41:30.400
<v Speaker 2>So we started running these experiments, and in.

0:41:30.280 --> 0:41:34.920
<v Speaker 3>The control condition, we gave people the conventional choice, it'd said, Okay,

0:41:35.560 --> 0:41:37.440
<v Speaker 3>tell us what your favorite charity is, and you give

0:41:37.520 --> 0:41:38.480
<v Speaker 3>us the link, and then you.

0:41:38.440 --> 0:41:40.680
<v Speaker 2>Say, and here's this super effective.

0:41:40.200 --> 0:41:42.839
<v Speaker 3>Deworming charity that where for one hundred dollars you can

0:41:42.880 --> 0:41:45.760
<v Speaker 3>deworm one hundred kids, for ten dollars you can deworm

0:41:45.840 --> 0:41:49.520
<v Speaker 3>ten kids. We're giving you ten dollars, which you want

0:41:49.560 --> 0:41:53.320
<v Speaker 3>to choose, And still, like eighty percent of people chose

0:41:53.360 --> 0:41:57.120
<v Speaker 3>the charity that they identified originally as their personal favorite.

0:41:57.400 --> 0:41:59.600
<v Speaker 3>Some people chose to switch to the one that the

0:42:00.000 --> 0:42:02.720
<v Speaker 3>Spurts focused on impact recommended, but most people didn't.

0:42:03.520 --> 0:42:04.640
<v Speaker 2>That's the control condition.

0:42:05.280 --> 0:42:08.720
<v Speaker 3>In the experimental treatment condition, we give those two options,

0:42:08.719 --> 0:42:11.600
<v Speaker 3>but we give another option, which is to split the difference,

0:42:12.080 --> 0:42:13.920
<v Speaker 3>or instead of doing all the water or all to

0:42:13.960 --> 0:42:16.160
<v Speaker 3>the other, you can do a fifty to fifty split

0:42:16.239 --> 0:42:18.440
<v Speaker 3>between the charity you love and the charity that the

0:42:18.440 --> 0:42:21.560
<v Speaker 3>experts are saying is super effective. And what we found

0:42:21.600 --> 0:42:23.520
<v Speaker 3>was that a little bit over half of the people

0:42:24.320 --> 0:42:28.359
<v Speaker 3>chose to support to do the split right, which meant

0:42:28.360 --> 0:42:31.560
<v Speaker 3>that more money was actually going to the super effective

0:42:31.640 --> 0:42:34.640
<v Speaker 3>charity by giving people the option to split than if

0:42:34.680 --> 0:42:37.120
<v Speaker 3>you force them to make a stark choice. Then we

0:42:37.120 --> 0:42:38.840
<v Speaker 3>did some research to try to figure out, you know,

0:42:38.840 --> 0:42:42.520
<v Speaker 3>what's the underlying psychology here, And what we found was

0:42:42.600 --> 0:42:46.399
<v Speaker 3>a kind of Trolleysque dual process story, which is to say,

0:42:47.480 --> 0:42:50.520
<v Speaker 3>people have sort of two different urges they're trying to satisfy.

0:42:50.840 --> 0:42:52.640
<v Speaker 3>They want to give from the heart. They want to

0:42:52.680 --> 0:42:56.279
<v Speaker 3>give to the charity that they feel personally connected to,

0:42:57.280 --> 0:43:01.000
<v Speaker 3>but they also like the idea of of doing something

0:43:01.040 --> 0:43:04.080
<v Speaker 3>super impactful. It's just not their top priority if they're

0:43:04.080 --> 0:43:08.040
<v Speaker 3>forced to choose. So what we found is that when

0:43:08.080 --> 0:43:10.360
<v Speaker 3>it comes to giving from the heart, it's not about

0:43:10.360 --> 0:43:13.720
<v Speaker 3>how much you give. If you give fifty dollars instead

0:43:13.719 --> 0:43:16.200
<v Speaker 3>of one hundred dollars to the local animal shelter, that

0:43:16.239 --> 0:43:19.200
<v Speaker 3>feels more or less the same if you And then

0:43:19.280 --> 0:43:21.319
<v Speaker 3>that means if you could give fifty there, then you

0:43:21.320 --> 0:43:24.120
<v Speaker 3>could have this other fifty left over to do something

0:43:24.120 --> 0:43:28.959
<v Speaker 3>that's super duper effective, and that scratches a different itch, right,

0:43:29.160 --> 0:43:33.040
<v Speaker 3>and the overall feeling of satisfaction of doing something as

0:43:33.080 --> 0:43:35.719
<v Speaker 3>we say, you know, smart and from the heart at

0:43:35.760 --> 0:43:39.400
<v Speaker 3>the same time, people really like that that that that

0:43:39.400 --> 0:43:42.799
<v Speaker 3>that combo. So then we all, okay, so that's cool.

0:43:42.840 --> 0:43:44.640
<v Speaker 3>We've got that result, we understand why people do that.

0:43:44.640 --> 0:43:46.360
<v Speaker 3>But then we thought, okay, we could publish a paper

0:43:46.440 --> 0:43:48.640
<v Speaker 3>saying hey, everybody, you should split your donations like this,

0:43:48.880 --> 0:43:50.719
<v Speaker 3>and then it would just die in this journal and

0:43:50.719 --> 0:43:53.360
<v Speaker 3>no one would read it, or if just a few researchers.

0:43:53.560 --> 0:43:55.040
<v Speaker 3>So we thought, okay, we need some way to get

0:43:55.040 --> 0:43:56.600
<v Speaker 3>this out there. Well, what if we had to, you know,

0:43:56.640 --> 0:43:59.080
<v Speaker 3>we incentivize people, say well, we'll add money on top

0:43:59.680 --> 0:44:02.760
<v Speaker 3>if you do these split donations, and as you'd expect,

0:44:02.760 --> 0:44:05.560
<v Speaker 3>people like it even better if we're willing to add money.

0:44:05.600 --> 0:44:07.240
<v Speaker 3>In fact, we found it was like a seventy percent

0:44:07.239 --> 0:44:09.320
<v Speaker 3>boost if we said that we would add add money

0:44:09.320 --> 0:44:11.320
<v Speaker 3>on top. So that's great. But then, of course the

0:44:11.400 --> 0:44:13.960
<v Speaker 3>question is where does that money come from? And then

0:44:13.960 --> 0:44:16.360
<v Speaker 3>what we said was, well, what if we asked people

0:44:16.440 --> 0:44:20.240
<v Speaker 3>who were agreed to split between a personal favorite charity

0:44:20.560 --> 0:44:22.680
<v Speaker 3>and this charity that they just learned about, like the

0:44:22.719 --> 0:44:25.160
<v Speaker 3>deworming charity, said, what if instead of giving the the

0:44:25.200 --> 0:44:28.280
<v Speaker 3>deworming charity, you put that fifty percent in a fund

0:44:28.600 --> 0:44:31.400
<v Speaker 3>that will add money on top for the next people,

0:44:31.440 --> 0:44:34.200
<v Speaker 3>so kind of pay it forward program to keep this going.

0:44:34.480 --> 0:44:37.160
<v Speaker 3>And we found that not everybody but enough people were

0:44:37.160 --> 0:44:39.640
<v Speaker 3>willing to do that such that the money they would

0:44:39.680 --> 0:44:43.359
<v Speaker 3>put into that fund more than enough to cover the

0:44:43.400 --> 0:44:45.600
<v Speaker 3>matching donations for the people who said, now I'll just

0:44:45.640 --> 0:44:48.239
<v Speaker 3>take the matching funds. So we thought, my gosh, this

0:44:48.280 --> 0:44:51.560
<v Speaker 3>could be like a self sustaining virtuous circle where you

0:44:51.600 --> 0:44:53.759
<v Speaker 3>have some people who put money into the matching fund

0:44:54.320 --> 0:44:57.120
<v Speaker 3>and some people who are incentivized by the money in

0:44:57.160 --> 0:44:58.800
<v Speaker 3>the matching fund, and.

0:45:00.200 --> 0:45:00.880
<v Speaker 2>Thing just works.

0:45:01.160 --> 0:45:05.319
<v Speaker 3>So Lucius and his Techi friends, most most notably the

0:45:05.360 --> 0:45:11.560
<v Speaker 3>amazing web designer Fabio kun Uh, created Giving Multiplier, which

0:45:11.600 --> 0:45:14.520
<v Speaker 3>is our our our our web platform which does this.

0:45:14.760 --> 0:45:17.560
<v Speaker 3>And if if if you go to giving Multiplier, like

0:45:17.600 --> 0:45:20.319
<v Speaker 3>what you'd see is you know this description of how

0:45:20.320 --> 0:45:20.640
<v Speaker 3>it works.

0:45:20.680 --> 0:45:22.919
<v Speaker 2>This is giving Multiplier dot dot dot org.

0:45:24.120 --> 0:45:27.319
<v Speaker 3>You'll see a place where you can find your your

0:45:27.360 --> 0:45:30.040
<v Speaker 3>favorite charity. So any charity registered as a five oh

0:45:30.040 --> 0:45:32.600
<v Speaker 3>one C three in the US you enter that. In

0:45:32.760 --> 0:45:35.120
<v Speaker 3>the second thing is a list of the super effective

0:45:35.200 --> 0:45:37.040
<v Speaker 3>charities that we support. So I've named a bunch of

0:45:37.080 --> 0:45:41.200
<v Speaker 3>them UH already so give directly and UH and and

0:45:41.239 --> 0:45:44.520
<v Speaker 3>the Against Malaria Foundation and the Malaria Consortium, and then

0:45:44.560 --> 0:45:48.880
<v Speaker 3>other ones related to climate change and animal welfare, but

0:45:48.960 --> 0:45:52.440
<v Speaker 3>ones that that that that have a super outsize impact.

0:45:52.600 --> 0:45:54.560
<v Speaker 3>You pick one of those, and then we have this

0:45:54.640 --> 0:45:58.080
<v Speaker 3>cool slider thing where you decide how you want to

0:45:58.120 --> 0:46:01.000
<v Speaker 3>allocate your money between the two charity and the more

0:46:01.160 --> 0:46:05.240
<v Speaker 3>you allocate to the super effective charities from our list,

0:46:05.760 --> 0:46:08.399
<v Speaker 3>the more money we add on top. But you could

0:46:08.400 --> 0:46:10.719
<v Speaker 3>still give a majority to your personal favorite charity and

0:46:10.800 --> 0:46:13.479
<v Speaker 3>we'll still add something on top to both.

0:46:13.640 --> 0:46:15.320
<v Speaker 1>Let me get one thing straight, which is the money

0:46:15.320 --> 0:46:16.880
<v Speaker 1>that I put in. I put one hundred dollars into

0:46:16.880 --> 0:46:19.560
<v Speaker 1>the matching fund that's going to charities. I just don't

0:46:19.600 --> 0:46:20.560
<v Speaker 1>know which ones.

0:46:20.480 --> 0:46:23.839
<v Speaker 3>That's That's right, it's charities that will be chosen by

0:46:23.880 --> 0:46:25.320
<v Speaker 3>other people, future people.

0:46:25.719 --> 0:46:29.239
<v Speaker 1>Excellent, Okay, got it. So tell us about POD's Fight Poverty.

0:46:29.760 --> 0:46:34.120
<v Speaker 3>So we now having over thirty podcasts who are signed

0:46:34.160 --> 0:46:37.720
<v Speaker 3>on and our goal is to raise a million dollars

0:46:38.120 --> 0:46:42.960
<v Speaker 3>and to We're aiming for three villages in the Bikar

0:46:43.200 --> 0:46:45.680
<v Speaker 3>region of Northern Rwanda where.

0:46:45.480 --> 0:46:48.920
<v Speaker 2>People have very little. You know, people are very poor.

0:46:49.040 --> 0:46:51.840
<v Speaker 3>And have are kind of stuck in an economic rut

0:46:51.880 --> 0:46:54.080
<v Speaker 3>where they don't have the resources they need to to

0:46:54.840 --> 0:46:57.160
<v Speaker 3>get out of it. And our goal is to lift

0:46:57.760 --> 0:47:01.399
<v Speaker 3>seven hundred families out of poverty, giving a little over

0:47:01.400 --> 0:47:04.120
<v Speaker 3>one thousand dollars to each family, which can be life

0:47:04.200 --> 0:47:05.120
<v Speaker 3>changing for a family.

0:47:05.760 --> 0:47:06.120
<v Speaker 2>There.

0:47:06.320 --> 0:47:11.080
<v Speaker 3>Listeners are encouraged to to to go to GiveDirectly dot

0:47:11.200 --> 0:47:18.359
<v Speaker 3>org slash cosmos for for your listeners and giving Multiplier

0:47:18.680 --> 0:47:22.600
<v Speaker 3>is adding fifty percent match while our while our supplies last.

0:47:22.600 --> 0:47:24.600
<v Speaker 3>So we're we're committed to putting up a half a

0:47:24.600 --> 0:47:27.600
<v Speaker 3>million dollars for this campaign, So anything your listeners give

0:47:28.760 --> 0:47:33.360
<v Speaker 3>giving Multiplier will be matching at fifty percent. And the

0:47:33.440 --> 0:47:36.120
<v Speaker 3>results with with give Directly are amazing. I mean, there

0:47:36.120 --> 0:47:40.400
<v Speaker 3>have been twenty five randomized control trials, so gold standard

0:47:40.480 --> 0:47:45.240
<v Speaker 3>experiments with give directly specifically, and they find that that

0:47:45.239 --> 0:47:48.200
<v Speaker 3>that these donations cut infant mortality rates in half.

0:47:48.880 --> 0:47:49.920
<v Speaker 2>And not only.

0:47:49.840 --> 0:47:51.960
<v Speaker 3>Does it help the people who get the money, it

0:47:52.080 --> 0:47:55.120
<v Speaker 3>boosts the local economy by a factor of two point five.

0:47:55.320 --> 0:47:56.960
<v Speaker 2>Right, So this is getting back to this.

0:47:57.040 --> 0:47:59.879
<v Speaker 3>You know a lot of people worry about anti pop

0:48:00.040 --> 0:48:03.840
<v Speaker 3>pretty mechanisms, especially in poor countries. You say, yeah, this

0:48:04.000 --> 0:48:06.200
<v Speaker 3>is just pouring money down the hole where there's some

0:48:06.200 --> 0:48:09.680
<v Speaker 3>temporary relief, but it doesn't really go anywhere. I don't

0:48:09.719 --> 0:48:12.680
<v Speaker 3>want to under sell temporary relief if you're starving or

0:48:12.680 --> 0:48:14.839
<v Speaker 3>if your child is you know, in danger of dying

0:48:14.840 --> 0:48:15.839
<v Speaker 3>of malaria or whatever.

0:48:15.880 --> 0:48:16.160
<v Speaker 2>It is.

0:48:16.960 --> 0:48:20.040
<v Speaker 3>Temporary relief matters, right, but you also want to think

0:48:20.040 --> 0:48:21.839
<v Speaker 3>about the long term. And part of what's great about

0:48:21.840 --> 0:48:24.960
<v Speaker 3>gift directly is that it gives people the power, the agency,

0:48:25.040 --> 0:48:28.000
<v Speaker 3>the flexibility to take the money that they that they're

0:48:28.040 --> 0:48:32.200
<v Speaker 3>getting that they can use beyond you know, immediate survival,

0:48:32.640 --> 0:48:35.600
<v Speaker 3>to build things that that can help them survive. And

0:48:35.960 --> 0:48:38.800
<v Speaker 3>we see this in the growth of these local economies

0:48:38.800 --> 0:48:42.959
<v Speaker 3>as a result of this. So that's what we're trying

0:48:43.000 --> 0:48:44.680
<v Speaker 3>to do. And thank thank you David for being part

0:48:44.719 --> 0:48:44.880
<v Speaker 3>of this.

0:48:45.440 --> 0:48:48.640
<v Speaker 1>And are you or someone else doing follow up studies

0:48:48.640 --> 0:48:51.040
<v Speaker 1>to see what happens with this village over the next

0:48:51.040 --> 0:48:51.760
<v Speaker 1>five ten years.

0:48:52.160 --> 0:48:52.399
<v Speaker 2>Yeah?

0:48:52.440 --> 0:48:55.600
<v Speaker 3>Absolutely, So give give directly. You know, they track the

0:48:55.920 --> 0:48:58.520
<v Speaker 3>effects of every every campaign they run, all of the

0:48:58.560 --> 0:48:59.480
<v Speaker 3>money that they spend.

0:49:14.440 --> 0:49:16.960
<v Speaker 1>Okay, so you know, by the way, Josh, you and

0:49:16.960 --> 0:49:19.719
<v Speaker 1>I have known each other for our whole careers and neuroscience,

0:49:19.719 --> 0:49:23.000
<v Speaker 1>and it's so wonderful to see you taking all the

0:49:23.000 --> 0:49:26.880
<v Speaker 1>stuff you know about decision making and morality and build

0:49:27.400 --> 0:49:30.960
<v Speaker 1>moral technologies. So the last thing I wanted to ask

0:49:31.000 --> 0:49:33.640
<v Speaker 1>you about is you had a Nature paper earlier this

0:49:33.719 --> 0:49:37.720
<v Speaker 1>year about a game that people could play to cross

0:49:37.760 --> 0:49:40.240
<v Speaker 1>to bridge political divides. Tell us about tango.

0:49:40.960 --> 0:49:42.560
<v Speaker 3>Yeah, so let me say a little bit about how

0:49:42.600 --> 0:49:44.040
<v Speaker 3>I think all of this stuff fits together.

0:49:44.280 --> 0:49:44.440
<v Speaker 2>Right.

0:49:45.640 --> 0:49:47.920
<v Speaker 3>You know, I was one side of conference recently and

0:49:48.000 --> 0:49:50.440
<v Speaker 3>I had to have like my little name tag, and

0:49:50.440 --> 0:49:52.360
<v Speaker 3>at this particular conference, you had to put like a

0:49:52.400 --> 0:49:54.200
<v Speaker 3>one line thing on, like what's your deal?

0:49:54.320 --> 0:49:55.160
<v Speaker 2>Like what are you about?

0:49:55.440 --> 0:49:57.319
<v Speaker 3>And I never had to do that before, And I

0:49:57.360 --> 0:49:59.800
<v Speaker 3>thought back to, you know, what are my heroes Peter Singer,

0:50:00.040 --> 0:50:03.080
<v Speaker 3>philosopher and his notion of the expanding circle, the idea

0:50:03.120 --> 0:50:07.600
<v Speaker 3>that over time humans have gone from you know, not

0:50:07.719 --> 0:50:11.040
<v Speaker 3>just caring about their family and their immediate relationships, but

0:50:11.239 --> 0:50:14.680
<v Speaker 3>you know, the circle of moral concern has grown from

0:50:15.080 --> 0:50:18.200
<v Speaker 3>the village to the tribe, to the chiefdom to the

0:50:18.280 --> 0:50:21.160
<v Speaker 3>nation and and and beyond nations. And what I sort

0:50:21.160 --> 0:50:22.880
<v Speaker 3>of put on that little name tag, which I now

0:50:22.920 --> 0:50:26.400
<v Speaker 3>think of is my tagline, is is expanding the circle

0:50:26.560 --> 0:50:30.680
<v Speaker 3>of of of of altruism and cooperation and as we're

0:50:30.680 --> 0:50:34.000
<v Speaker 3>trying to do and with the trolley stuff, you know,

0:50:34.120 --> 0:50:37.400
<v Speaker 3>in this weird way, it wasn't weird to me, but

0:50:37.440 --> 0:50:39.160
<v Speaker 3>it's it's sort of maybe not obvious.

0:50:39.560 --> 0:50:40.759
<v Speaker 2>That was the goal there as well.

0:50:41.080 --> 0:50:44.239
<v Speaker 3>I thought the way to move forward is we need

0:50:44.280 --> 0:50:50.360
<v Speaker 3>a better moral philosophy. And there's I'm a consequentialist utilitarian,

0:50:50.360 --> 0:50:52.040
<v Speaker 3>although I don't like the U word. I prefer to

0:50:52.080 --> 0:50:55.080
<v Speaker 3>call myself a deep pragmatist. But there are these objections

0:50:55.400 --> 0:50:57.200
<v Speaker 3>to that kind of view, like is it okay to

0:50:57.280 --> 0:50:59.160
<v Speaker 3>tell one person to say five people you know in

0:50:59.200 --> 0:50:59.960
<v Speaker 3>the footbridge case?

0:51:00.040 --> 0:51:00.719
<v Speaker 2>And isn't that wrong?

0:51:00.760 --> 0:51:03.440
<v Speaker 3>And I wanted to understand the psychology so that I

0:51:03.440 --> 0:51:06.920
<v Speaker 3>could say, look, this philosophy makes sense, but we have

0:51:07.040 --> 0:51:10.640
<v Speaker 3>these over generalizations of certain moral instincts that block us

0:51:10.680 --> 0:51:13.320
<v Speaker 3>from there. So it was a kind of philosophical approach

0:51:13.360 --> 0:51:16.279
<v Speaker 3>to expanding the circle. As I've gotten older, I thought,

0:51:16.320 --> 0:51:18.319
<v Speaker 3>you know, instead of like kind of trying to fly

0:51:18.520 --> 0:51:20.799
<v Speaker 3>up into the clouds, do some philosophy and then come

0:51:20.840 --> 0:51:22.520
<v Speaker 3>back down to earth, I'm just going to drive along

0:51:22.520 --> 0:51:25.759
<v Speaker 3>the ground, take you know, what we think we know

0:51:26.600 --> 0:51:30.000
<v Speaker 3>about human nature and pack that up and and see

0:51:30.000 --> 0:51:34.600
<v Speaker 3>what we can do with it. So giving multiplier, I see,

0:51:34.680 --> 0:51:38.840
<v Speaker 3>is about expanding the circle largely from nation to world

0:51:39.480 --> 0:51:42.680
<v Speaker 3>that we are supporting charities where we in the affluent

0:51:42.760 --> 0:51:45.960
<v Speaker 3>West primarily can do an enormous amount of good for

0:51:46.040 --> 0:51:50.879
<v Speaker 3>other human beings who happen to not be our co nationals, right,

0:51:51.280 --> 0:51:54.879
<v Speaker 3>and then from also from species, the human world beat

0:51:54.960 --> 0:52:00.120
<v Speaker 3>beyond that is one of the charities we support is

0:52:00.360 --> 0:52:04.239
<v Speaker 3>the Humane League, which you know, there are billions of

0:52:04.280 --> 0:52:07.279
<v Speaker 3>animals that suffer in factory farms every year, billions, Like

0:52:07.719 --> 0:52:09.920
<v Speaker 3>you know, it's hard to get your head around this,

0:52:10.080 --> 0:52:12.239
<v Speaker 3>right if aliens were visiting Earth and saying, like, what's

0:52:12.280 --> 0:52:15.160
<v Speaker 3>the greatest moral tragedy here? Depending on what you believe

0:52:15.160 --> 0:52:19.120
<v Speaker 3>about animal consciousness, you might think that it's actually factory farming.

0:52:19.800 --> 0:52:24.600
<v Speaker 3>That's a whole other story. But giving multiplier supports charities

0:52:24.640 --> 0:52:28.720
<v Speaker 3>that are looking to end tortuous, miserable factory farming, either

0:52:28.800 --> 0:52:33.240
<v Speaker 3>through policy or through developing meat alternatives. And so that's

0:52:33.400 --> 0:52:36.080
<v Speaker 3>going from nation to world and from world to other species,

0:52:36.160 --> 0:52:40.520
<v Speaker 3>human world, other species. Tango goes back to our earlier

0:52:40.560 --> 0:52:44.040
<v Speaker 3>discussion about the tragedy of the commons and the tragedy

0:52:44.080 --> 0:52:48.640
<v Speaker 3>of common sense morality and going from a tribal us

0:52:48.920 --> 0:52:53.440
<v Speaker 3>to a larger, multi tribal us. So when you know,

0:52:53.480 --> 0:52:56.200
<v Speaker 3>when I finished my my and published my book Moral Tribes,

0:52:56.200 --> 0:52:58.080
<v Speaker 3>which he mentioned. You know, I was happy with the

0:52:58.080 --> 0:53:00.319
<v Speaker 3>book in a lot of ways, but I also felt

0:53:00.320 --> 0:53:02.919
<v Speaker 3>like it was kind of an unfulfilled promise in some ways.

0:53:02.960 --> 0:53:04.480
<v Speaker 3>I mean, you look at a book like that, the

0:53:04.480 --> 0:53:07.720
<v Speaker 3>titles Moral Tribes callon Emotion, Reason, and the Gap between

0:53:07.800 --> 0:53:09.920
<v Speaker 3>Us and Them, you might think that that book was

0:53:09.960 --> 0:53:14.359
<v Speaker 3>going to give you like practical tools to solve tribalism.

0:53:14.920 --> 0:53:17.160
<v Speaker 2>And I think it falls short in that way.

0:53:17.239 --> 0:53:19.680
<v Speaker 3>It really gives you sort of a kind of guiding

0:53:20.200 --> 0:53:26.160
<v Speaker 3>general philosophy and some psychological under self knowledge that could

0:53:26.160 --> 0:53:28.760
<v Speaker 3>help you get to that philosophy, but it's not really

0:53:28.960 --> 0:53:32.959
<v Speaker 3>immediately applicable tools. And so after that kind of era,

0:53:34.320 --> 0:53:36.160
<v Speaker 3>I said, all right, I want to try to try

0:53:36.200 --> 0:53:38.480
<v Speaker 3>to fulfill that promise. So I thought, okay, well, what

0:53:38.520 --> 0:53:41.439
<v Speaker 3>does it take to solve tribalism? What does it take

0:53:41.480 --> 0:53:45.600
<v Speaker 3>to bring groups with distinct identities and with some animosity

0:53:45.760 --> 0:53:49.440
<v Speaker 3>towards each other together? And I thought, okay, well, I'm smart.

0:53:49.440 --> 0:53:51.840
<v Speaker 3>Maybe I'll have some big new theory about how to

0:53:51.880 --> 0:53:55.759
<v Speaker 3>do this. And I looked at the existing research and

0:53:55.760 --> 0:53:59.680
<v Speaker 3>what I kind of concluded was that actually, we've got old.

0:53:59.440 --> 0:54:02.680
<v Speaker 2>Ideas that are pretty good, like really good. Right.

0:54:02.960 --> 0:54:06.960
<v Speaker 3>So on the biological front, everything points to the idea

0:54:07.040 --> 0:54:11.440
<v Speaker 3>that mutually beneficial cooperation is the key. Mutually beneficial cooperation

0:54:11.880 --> 0:54:15.440
<v Speaker 3>is the story of life, starting with primordial soup, and

0:54:15.560 --> 0:54:19.799
<v Speaker 3>basically molecules come together to form cells because cells can

0:54:19.920 --> 0:54:23.240
<v Speaker 3>can survive and reproduce in ways that loan molecules can't.

0:54:23.360 --> 0:54:27.239
<v Speaker 3>And cells form more complicated eu caryotic cells, which form colonies,

0:54:27.360 --> 0:54:30.560
<v Speaker 3>which form organisms, which form societies.

0:54:30.200 --> 0:54:33.480
<v Speaker 2>And all the way out up to tribes and nations

0:54:33.520 --> 0:54:35.040
<v Speaker 2>and occasionally United nations.

0:54:35.400 --> 0:54:41.239
<v Speaker 3>Every living system is built and sustained on mutually beneficial cooperation.

0:54:41.400 --> 0:54:45.239
<v Speaker 3>It's parts coming together for teamwork because they can accomplish

0:54:45.280 --> 0:54:47.800
<v Speaker 3>things that they can't accomplish on their own.

0:54:48.160 --> 0:54:50.439
<v Speaker 2>But there's competition at every level, right.

0:54:50.600 --> 0:54:53.879
<v Speaker 3>Organisms are competing to survive, societies are competing with each

0:54:53.920 --> 0:54:54.239
<v Speaker 3>other for.

0:54:55.760 --> 0:54:58.839
<v Speaker 2>Resources, and so the.

0:54:58.880 --> 0:55:02.319
<v Speaker 3>Challenge is can we cooperate at the highest level, right,

0:55:02.560 --> 0:55:05.960
<v Speaker 3>whether that's tribes within a country or countries in the world, right,

0:55:06.840 --> 0:55:10.640
<v Speaker 3>And that may not come so naturally, right, so we

0:55:10.640 --> 0:55:13.759
<v Speaker 3>need tools for that. That's the biological perspective. On the

0:55:13.800 --> 0:55:16.040
<v Speaker 3>social science side, it's much the same story. You go

0:55:16.160 --> 0:55:19.400
<v Speaker 3>back to ideas from the fifties, like Gordon Allport's famous

0:55:19.520 --> 0:55:22.640
<v Speaker 3>contact theory. Basically, what he argued is that the way

0:55:22.680 --> 0:55:25.840
<v Speaker 3>you bring groups that are intentioned together is well, you

0:55:25.920 --> 0:55:27.640
<v Speaker 3>need to have them come to some kind of contact,

0:55:27.719 --> 0:55:30.360
<v Speaker 3>and it has to be under the right kinds of conditions, essentially,

0:55:30.360 --> 0:55:33.120
<v Speaker 3>conditions that are conducive to cooperation.

0:55:33.680 --> 0:55:36.240
<v Speaker 2>And you know, Alport wrote.

0:55:36.080 --> 0:55:37.799
<v Speaker 3>This all out of the fifties, but really this is

0:55:37.880 --> 0:55:41.040
<v Speaker 3>very intuitive. I mean, people have surely recognized for centuries

0:55:41.080 --> 0:55:43.160
<v Speaker 3>that you put people on the same team, and they're

0:55:43.200 --> 0:55:45.279
<v Speaker 3>more likely to get along, right, if there's really a

0:55:45.320 --> 0:55:46.319
<v Speaker 3>shared purpose there.

0:55:46.400 --> 0:55:49.520
<v Speaker 2>Right, So if.

0:55:49.440 --> 0:55:53.040
<v Speaker 3>We've known this for decades, if not centuries, then why

0:55:53.080 --> 0:55:56.360
<v Speaker 3>have we not solved our human tribal problem?

0:55:56.520 --> 0:55:56.719
<v Speaker 2>Right?

0:55:57.080 --> 0:55:59.879
<v Speaker 3>And I think the answer is twofold. The optimistic part

0:55:59.920 --> 0:56:02.960
<v Speaker 3>is to some extent we already have. I mean, as

0:56:02.960 --> 0:56:06.799
<v Speaker 3>my colleague Stephen Pinker has documented with a lot of

0:56:06.840 --> 0:56:08.200
<v Speaker 3>resistance to people who don't like.

0:56:08.160 --> 0:56:11.240
<v Speaker 2>This conclusion, but it's very well supported, is that.

0:56:11.200 --> 0:56:15.920
<v Speaker 3>Humans have over millennia and centuries and decades become overall

0:56:15.960 --> 0:56:17.480
<v Speaker 3>more peaceful and less milor right.

0:56:18.000 --> 0:56:19.520
<v Speaker 2>And although there's been a.

0:56:21.000 --> 0:56:25.279
<v Speaker 3>Reversal in recent years unfortunately, but nothing close to sort

0:56:25.320 --> 0:56:28.320
<v Speaker 3>of at the level of the overall arc of our history.

0:56:28.600 --> 0:56:31.960
<v Speaker 3>And really every modern city is a testament to the

0:56:32.040 --> 0:56:37.000
<v Speaker 3>idea that people with different cultures, different races, different ethnicities

0:56:37.040 --> 0:56:40.759
<v Speaker 3>and religions can view each other more as fellow citizens

0:56:40.760 --> 0:56:44.440
<v Speaker 3>and cooperation partners than as enemies to be distrusted.

0:56:44.560 --> 0:56:46.400
<v Speaker 2>Right, So these.

0:56:46.280 --> 0:56:48.640
<v Speaker 3>Can grow organically, right, And we see this in other

0:56:48.680 --> 0:56:52.719
<v Speaker 3>contexts where there's an immediate need. During World War Two,

0:56:53.200 --> 0:56:55.600
<v Speaker 3>there was you know, we needed soldiers in the United States,

0:56:55.600 --> 0:56:59.760
<v Speaker 3>and there was a push to have racially integrated units

0:56:59.760 --> 0:57:02.200
<v Speaker 3>in the military. But some people thought this would never work.

0:57:02.239 --> 0:57:04.919
<v Speaker 3>You could never have white people and were then called

0:57:05.000 --> 0:57:08.400
<v Speaker 3>negroes fighting with each other against the common enemy. And

0:57:08.400 --> 0:57:09.960
<v Speaker 3>some people said, well, we've got to try, and we

0:57:10.000 --> 0:57:12.680
<v Speaker 3>think this could work. And it worked beautifully, right, And

0:57:12.719 --> 0:57:15.120
<v Speaker 3>the US military was far ahead of the rest of

0:57:15.120 --> 0:57:19.720
<v Speaker 3>civilian life in the US in terms of racial integration. Likewise,

0:57:19.760 --> 0:57:22.000
<v Speaker 3>in sports, you know, just when there's a warn tobe

0:57:22.080 --> 0:57:23.760
<v Speaker 3>one or a game to be won, you want the

0:57:23.760 --> 0:57:26.320
<v Speaker 3>best players playing together and working together. And that's a

0:57:26.400 --> 0:57:28.600
<v Speaker 3>kind of circumscribed context where that can to work. So

0:57:29.080 --> 0:57:32.880
<v Speaker 3>part of the answer is in the right when circumstances

0:57:33.280 --> 0:57:39.320
<v Speaker 3>demand it, you can get cooperation across tense lines of division.

0:57:39.920 --> 0:57:44.200
<v Speaker 3>The challenge is how do you engineer it where the

0:57:44.240 --> 0:57:46.880
<v Speaker 3>ball doesn't seem to be rolling in the right direction right,

0:57:47.360 --> 0:57:50.360
<v Speaker 3>and where we have these divisions, in these levels of

0:57:50.400 --> 0:57:54.480
<v Speaker 3>distrust and disrespect, how do we engineer that deliberately? So

0:57:54.800 --> 0:57:57.480
<v Speaker 3>my thinking was, well, we need a way to get

0:57:57.480 --> 0:58:00.840
<v Speaker 3>people from opposite sides of whatever divide the same team.

0:58:01.000 --> 0:58:03.880
<v Speaker 3>So you know, this can be Republicans and Democrats in

0:58:03.920 --> 0:58:07.880
<v Speaker 3>the US, or Jews and Arab slash Palestinians in Israel, Gaza,

0:58:08.120 --> 0:58:12.000
<v Speaker 3>or Hindus and Muslims in India. You got to get

0:58:12.000 --> 0:58:17.240
<v Speaker 3>people on the same team. Okay, how do you do that? Well,

0:58:17.280 --> 0:58:19.160
<v Speaker 3>you need to put people on the same team. It

0:58:19.200 --> 0:58:20.959
<v Speaker 3>needs to be scalable and it needs to be fun.

0:58:21.520 --> 0:58:25.280
<v Speaker 3>My lab's answer to that was a cooperative quiz game

0:58:25.800 --> 0:58:28.520
<v Speaker 3>which was originally developed with my amazing grad student Van

0:58:28.560 --> 0:58:32.439
<v Speaker 3>d Philippus, and now those work is being led by

0:58:32.560 --> 0:58:33.920
<v Speaker 3>the amazing Lucas Woodley.

0:58:35.360 --> 0:58:37.840
<v Speaker 2>So this game is now called Tango.

0:58:38.840 --> 0:58:42.080
<v Speaker 3>And the way it works is you sign on to

0:58:42.160 --> 0:58:45.360
<v Speaker 3>the game and you answer a few questions about yourself

0:58:45.680 --> 0:58:48.280
<v Speaker 3>and in the typical version of this. In the experiments

0:58:48.280 --> 0:58:50.080
<v Speaker 3>I've done, you might say I'm a Republican or I'm

0:58:50.080 --> 0:58:52.240
<v Speaker 3>a Democrat, or I'm a liberal arm a conservative. You

0:58:52.280 --> 0:58:54.440
<v Speaker 3>also answer kind of fun, you know, get to know

0:58:54.520 --> 0:58:56.919
<v Speaker 3>you questions. You know, what's your favorite superpower that you'd

0:58:56.960 --> 0:59:00.520
<v Speaker 3>like to have, and things like that, and you you

0:59:00.560 --> 0:59:02.240
<v Speaker 3>answer those questions that you get paired up with your

0:59:02.240 --> 0:59:05.600
<v Speaker 3>partner and you have a little get to know you

0:59:05.720 --> 0:59:07.960
<v Speaker 3>chat and you say, oh see, we both would like

0:59:08.000 --> 0:59:10.600
<v Speaker 3>to have the power of flying or invisibility or whatever

0:59:10.600 --> 0:59:12.600
<v Speaker 3>it is. And you can see you know what the

0:59:12.600 --> 0:59:15.480
<v Speaker 3>person's politics is. And then you get into the game.

0:59:15.840 --> 0:59:18.000
<v Speaker 3>And in the most interesting case, you're playing the game

0:59:18.040 --> 0:59:21.160
<v Speaker 3>with someone who is, let's say in the US politically

0:59:21.240 --> 0:59:23.960
<v Speaker 3>different from you. You know, they're a Republican or a Democrat,

0:59:23.960 --> 0:59:26.439
<v Speaker 3>and you're on the opposite side, right, And the game

0:59:26.520 --> 0:59:29.400
<v Speaker 3>starts out with questions that are designed to have a

0:59:29.480 --> 0:59:32.760
<v Speaker 3>kind of complementarity, but not anything that's likely to be

0:59:32.800 --> 0:59:37.160
<v Speaker 3>divisive or controversial. So, for example, Republicans are more likely

0:59:37.200 --> 0:59:40.240
<v Speaker 3>to be able to answer questions about the show Duck Dynasty,

0:59:40.360 --> 0:59:43.360
<v Speaker 3>and that this is not stereotypes like this is validated

0:59:43.360 --> 0:59:47.120
<v Speaker 3>with data, whereas Democrats are more likely to know about

0:59:47.800 --> 0:59:51.280
<v Speaker 3>stranger things or the queen's gambit. Right, So you have

0:59:51.360 --> 0:59:53.520
<v Speaker 3>questions where one side's likely to be able to help

0:59:53.560 --> 0:59:55.880
<v Speaker 3>the other side and vice versa, and that gets people

0:59:55.960 --> 0:59:58.440
<v Speaker 3>into the game. Yeah you're a Democrat, but that's okay.

0:59:58.560 --> 1:00:01.240
<v Speaker 3>Yeah you're a Republican, but that's okay. We're winning, we're

1:00:01.280 --> 1:00:04.120
<v Speaker 3>high fiving, we're playing together. Everything's great. Then you get

1:00:04.200 --> 1:00:08.440
<v Speaker 3>questions that are about more divisive issues but still grounded

1:00:08.440 --> 1:00:11.200
<v Speaker 3>in facts. So if you ask what percentage of gun

1:00:11.240 --> 1:00:16.200
<v Speaker 3>debts in the US involve assault style weapons? If you ask,

1:00:16.400 --> 1:00:18.360
<v Speaker 3>you know, liberals, they're likely to say, I don't know,

1:00:18.440 --> 1:00:22.440
<v Speaker 3>thirty percent, fifty percent. If you ask people who are conservative,

1:00:22.480 --> 1:00:25.240
<v Speaker 3>they're more likely to say no, assault weapons or which

1:00:25.280 --> 1:00:27.720
<v Speaker 3>they wouldn't even call assault weapons, are like, you know,

1:00:27.720 --> 1:00:32.160
<v Speaker 3>two percent, it's more mostly handguns. Right, So that's a

1:00:32.240 --> 1:00:35.480
<v Speaker 3>case where the conservative Republicans are more likely to be correct.

1:00:35.560 --> 1:00:38.080
<v Speaker 3>But then if you ask a question about, you know,

1:00:38.120 --> 1:00:43.640
<v Speaker 3>how who commits more crimes per capita, immigrants or native

1:00:43.640 --> 1:00:47.360
<v Speaker 3>born Americans, Republicans think are more likely to think that

1:00:48.000 --> 1:00:51.080
<v Speaker 3>immigrant crime is sky high, when in fact, immigrants commit

1:00:51.120 --> 1:00:52.160
<v Speaker 3>relatively few crimes.

1:00:53.080 --> 1:00:54.720
<v Speaker 2>That's the case where the liberal is more likely to

1:00:54.760 --> 1:00:55.120
<v Speaker 2>be right.

1:00:55.640 --> 1:00:57.520
<v Speaker 3>But at this point in the game, you know where

1:00:57.520 --> 1:01:00.520
<v Speaker 3>you might think, oh, man talking about immigration or guns,

1:01:01.000 --> 1:01:03.640
<v Speaker 3>one of them, it would be a disaster. But by

1:01:03.640 --> 1:01:06.440
<v Speaker 3>then you're into the game, you're playing your teammates, you've

1:01:06.440 --> 1:01:08.520
<v Speaker 3>worked well together, you've already gotten to know each other

1:01:08.560 --> 1:01:11.720
<v Speaker 3>as respectful, decent people. And people just play the game

1:01:11.720 --> 1:01:13.440
<v Speaker 3>and they try to win those points and some you know,

1:01:13.600 --> 1:01:15.840
<v Speaker 3>and everyone gets to be surprised and everyone gets to

1:01:15.880 --> 1:01:18.200
<v Speaker 3>be right, and you have this cooperative experience and at

1:01:18.200 --> 1:01:21.080
<v Speaker 3>the end, people like say these tiery goodbyes, Man, it

1:01:21.120 --> 1:01:22.440
<v Speaker 3>was so much fun playing with you. I hope it

1:01:22.440 --> 1:01:24.320
<v Speaker 3>could meet in real life and things like that, and

1:01:24.360 --> 1:01:27.200
<v Speaker 3>it's great. What we want to know is what is

1:01:27.200 --> 1:01:30.520
<v Speaker 3>the effect of having this cooperative experience. So we've now

1:01:30.560 --> 1:01:33.520
<v Speaker 3>done a series of randomized control trials with online with

1:01:33.600 --> 1:01:37.880
<v Speaker 3>Republicans and Democrats, and what we found exceeded our expectations.

1:01:38.120 --> 1:01:41.880
<v Speaker 3>We find it playing tango with someone who's politically different

1:01:41.880 --> 1:01:45.840
<v Speaker 3>from you for less than an hour has positive effects

1:01:46.040 --> 1:01:50.240
<v Speaker 3>that last at least four months. So we ask people

1:01:50.560 --> 1:01:52.760
<v Speaker 3>how warm or cold do you feel towards the other

1:01:52.840 --> 1:01:55.120
<v Speaker 3>party on a scale of zero to one hundred. How

1:01:55.120 --> 1:01:57.560
<v Speaker 3>would you divide one hundred dollars between a random Republican

1:01:57.600 --> 1:02:01.640
<v Speaker 3>and a random Democrat? Do your respect Republicans or Democrats?

1:02:01.680 --> 1:02:05.680
<v Speaker 3>Do you trust Republicans or Democrats? And what we found

1:02:06.800 --> 1:02:09.720
<v Speaker 3>is that when people play with someone like this, to

1:02:09.760 --> 1:02:12.640
<v Speaker 3>take sort of the best known measure, which is that

1:02:12.720 --> 1:02:16.880
<v Speaker 3>feeling thermometer, people play the game, and immediately after the game,

1:02:16.920 --> 1:02:20.480
<v Speaker 3>we see like, on average, a nine point increase in

1:02:20.640 --> 1:02:22.640
<v Speaker 3>warmth towards the other party, where you can think of

1:02:22.640 --> 1:02:25.920
<v Speaker 3>it as a decrease in cold And you know, we say,

1:02:25.920 --> 1:02:28.840
<v Speaker 3>well nine points, what does that mean. That's the equivalent

1:02:28.840 --> 1:02:34.360
<v Speaker 3>of rolling back about fifteen years of increased polarization in

1:02:34.400 --> 1:02:36.760
<v Speaker 3>the United States. Now that's the immediate effect. Of course,

1:02:36.840 --> 1:02:40.840
<v Speaker 3>you know, it's not magic. It doesn't last. But when

1:02:40.880 --> 1:02:43.680
<v Speaker 3>we when we go back to people four months later,

1:02:44.040 --> 1:02:47.880
<v Speaker 3>we still see an effect of you know, that's the

1:02:47.880 --> 1:02:51.960
<v Speaker 3>equivalent of like five years of depolarization. And the cool

1:02:52.040 --> 1:02:54.880
<v Speaker 3>thing about the game is that you can play it

1:02:54.960 --> 1:02:57.479
<v Speaker 3>more than once. It's like Jeopardy, you could play every night, right,

1:02:57.600 --> 1:02:59.560
<v Speaker 3>And we also find that people really like it. So

1:02:59.800 --> 1:03:02.440
<v Speaker 3>our our median enjoyment rating was ten out of ten.

1:03:02.480 --> 1:03:06.120
<v Speaker 3>Now these are research participants who were not expecting to

1:03:06.120 --> 1:03:08.120
<v Speaker 3>have a lot of fun, so you know, it's not

1:03:08.160 --> 1:03:10.680
<v Speaker 3>surprising that they really enjoyed it.

1:03:11.720 --> 1:03:12.600
<v Speaker 2>But we.

1:03:14.120 --> 1:03:18.280
<v Speaker 3>See these long lasting positive effects you with this scalable

1:03:18.320 --> 1:03:21.160
<v Speaker 3>tool and in a way that people really enjoy. So

1:03:21.240 --> 1:03:23.320
<v Speaker 3>that's the that's the main points of the paper that

1:03:23.320 --> 1:03:25.880
<v Speaker 3>we published in Nature Human Behavior this summer.

1:03:26.440 --> 1:03:28.360
<v Speaker 2>In the last year or two, we've been doing is

1:03:28.400 --> 1:03:30.000
<v Speaker 2>working on getting this out in the world.

1:03:31.120 --> 1:03:34.840
<v Speaker 3>We are building an online tool where people can play,

1:03:34.840 --> 1:03:37.160
<v Speaker 3>but where that's not there yet, and I can talk

1:03:37.200 --> 1:03:39.200
<v Speaker 3>about kind of what we're doing and what we need

1:03:39.200 --> 1:03:41.920
<v Speaker 3>for that. But our most immediate traction has been in

1:03:42.000 --> 1:03:45.160
<v Speaker 3>higher education. And you know, historically when it comes to

1:03:45.480 --> 1:03:48.880
<v Speaker 3>psychology research, like testing college students is what you do

1:03:49.000 --> 1:03:51.640
<v Speaker 3>on the cheap, you know, just a convenience sample. But now,

1:03:51.720 --> 1:03:55.360
<v Speaker 3>as you know, especially at place like Harvard, higher ed

1:03:55.400 --> 1:03:57.680
<v Speaker 3>is sort of ground zero for a lot of our

1:03:57.760 --> 1:04:02.360
<v Speaker 3>cultural divisions, right, so we have been working with schools

1:04:02.400 --> 1:04:04.880
<v Speaker 3>to deploy this, you know, not as research participants, but

1:04:05.280 --> 1:04:06.720
<v Speaker 3>to students living their lives.

1:04:06.800 --> 1:04:09.280
<v Speaker 2>And our biggest events so.

1:04:09.240 --> 1:04:15.080
<v Speaker 3>Far have been at orientation for Harvard and Cornell and

1:04:15.120 --> 1:04:19.160
<v Speaker 3>Penn State, at Harvard this year, we did the entire

1:04:19.240 --> 1:04:23.320
<v Speaker 3>incoming class of twenty twenty nine, so over a thousand students,

1:04:23.960 --> 1:04:26.960
<v Speaker 3>and we're using some different questions. It's not so much

1:04:26.960 --> 1:04:29.320
<v Speaker 3>about your political party as like more like are you

1:04:29.400 --> 1:04:34.000
<v Speaker 3>politically liberal or conservative? And we're also asking questions about

1:04:34.000 --> 1:04:38.160
<v Speaker 3>things that are more divisive within a campus like Harvard,

1:04:38.280 --> 1:04:41.920
<v Speaker 3>so like Israel, Gaza, sorts of things in addition to

1:04:42.880 --> 1:04:45.640
<v Speaker 3>things like guns and immigration and stuff like that. And

1:04:45.720 --> 1:04:48.320
<v Speaker 3>what we found is that playing the game for about

1:04:48.360 --> 1:04:54.200
<v Speaker 3>twenty minutes had significant positive effects on acknowledgement that the

1:04:54.240 --> 1:04:57.800
<v Speaker 3>other side can make valid points interesting, getting to know

1:04:57.960 --> 1:05:02.240
<v Speaker 3>people who are different from you, comfort voicing controversial opinions

1:05:02.280 --> 1:05:05.479
<v Speaker 3>on campus. My favorite pair of results for Harvard because

1:05:05.480 --> 1:05:08.160
<v Speaker 3>I think this speaks to a challenge that we are

1:05:08.280 --> 1:05:12.360
<v Speaker 3>really working to address. When when liberal students at Harvard

1:05:12.400 --> 1:05:17.280
<v Speaker 3>at orientation in August played with a conservative student, they

1:05:17.280 --> 1:05:21.640
<v Speaker 3>were seven points less negative towards conservatives, so that's also

1:05:21.960 --> 1:05:24.720
<v Speaker 3>a pretty big effect. And then when conservatives played with

1:05:24.760 --> 1:05:29.160
<v Speaker 3>a liberal student, they felt five points more open towards

1:05:29.200 --> 1:05:32.959
<v Speaker 3>expressing controversial views on campus, So.

1:05:32.880 --> 1:05:34.160
<v Speaker 2>This is opening people up.

1:05:34.640 --> 1:05:38.360
<v Speaker 3>We also sort of allowed people to take two behavioral steps.

1:05:38.800 --> 1:05:40.400
<v Speaker 3>So we asked people at the end, he said, Hey,

1:05:40.440 --> 1:05:42.400
<v Speaker 3>you played with your partner anonymously, do you want to

1:05:42.440 --> 1:05:43.040
<v Speaker 3>meet your partner?

1:05:43.080 --> 1:05:44.560
<v Speaker 2>If so, leave your contact info.

1:05:45.080 --> 1:05:47.840
<v Speaker 3>And we found that eighty percent of students gave their

1:05:47.840 --> 1:05:53.120
<v Speaker 3>contact info. So you've got people shifting attitudes in making

1:05:53.160 --> 1:05:59.880
<v Speaker 3>campuses more open, more more hospitable to both liberals and conservatives,

1:06:00.080 --> 1:06:01.960
<v Speaker 3>and people taking steps in the real world. And then

1:06:02.000 --> 1:06:03.320
<v Speaker 3>the most fun part of all of this is that

1:06:03.360 --> 1:06:05.800
<v Speaker 3>the winning teams went to Fenway Park for a Red

1:06:05.880 --> 1:06:08.200
<v Speaker 3>Sox game, and so people went with their partners, whether

1:06:08.280 --> 1:06:11.520
<v Speaker 3>they were similar or or politically different.

1:06:12.000 --> 1:06:15.680
<v Speaker 2>So we are, you know, rolling this out.

1:06:15.840 --> 1:06:18.880
<v Speaker 3>And I think of this as kind of the opposite

1:06:18.880 --> 1:06:21.600
<v Speaker 3>of divisive online content. I mean, you think of what

1:06:21.680 --> 1:06:25.360
<v Speaker 3>internet trolls and operatives have managed to do by creating

1:06:25.680 --> 1:06:29.440
<v Speaker 3>by spreading ill will and just trust sort of at scale,

1:06:29.600 --> 1:06:33.520
<v Speaker 3>using very engaging content like fact checking. Can't fight that.

1:06:34.400 --> 1:06:37.640
<v Speaker 3>The opposite of that is not, you know, an earnest

1:06:37.680 --> 1:06:40.360
<v Speaker 3>fact check, although we need to do that. It's something

1:06:40.360 --> 1:06:42.800
<v Speaker 3>to compete with it in a positive way, something that

1:06:42.840 --> 1:06:45.720
<v Speaker 3>people find engaging, that millions of people can do, and

1:06:45.760 --> 1:06:50.160
<v Speaker 3>that trust spreads respect and trust at scale.

1:06:49.800 --> 1:06:51.200
<v Speaker 2>Not that everybody has to agree.

1:06:51.200 --> 1:06:54.120
<v Speaker 3>We're not trying to change people's minds about issues, but

1:06:54.200 --> 1:06:58.800
<v Speaker 3>getting to the point where people can disagree respectively and constructively.

1:06:59.160 --> 1:07:00.920
<v Speaker 3>So our goal over the next year is to get

1:07:00.920 --> 1:07:03.000
<v Speaker 3>this out there and have you know, thousands, if we

1:07:03.040 --> 1:07:07.040
<v Speaker 3>can millions of people have the positive experience that people

1:07:07.160 --> 1:07:10.040
<v Speaker 3>on college campuses and in our experiments have already had.

1:07:10.400 --> 1:07:14.120
<v Speaker 1>Good for you, were you surprised that this works anonymously

1:07:14.200 --> 1:07:17.320
<v Speaker 1>because the contact hypothesis suggests that you need to get

1:07:17.360 --> 1:07:19.920
<v Speaker 1>people together in person to have conversation.

1:07:20.760 --> 1:07:22.800
<v Speaker 2>Yeah, that's it's a very astute point.

1:07:23.400 --> 1:07:25.560
<v Speaker 3>That was one of the things we weren't sure about, right,

1:07:25.640 --> 1:07:27.400
<v Speaker 3>And you know, one thing we wondered is do we

1:07:27.480 --> 1:07:29.400
<v Speaker 3>have to do this like on zoom where people give

1:07:29.440 --> 1:07:31.760
<v Speaker 3>their names and you can see their faces. And one

1:07:31.760 --> 1:07:34.320
<v Speaker 3>of the cool things about this was that you didn't

1:07:34.360 --> 1:07:37.880
<v Speaker 3>have to have that conventional name in a face contact

1:07:38.280 --> 1:07:40.200
<v Speaker 3>to get this to work and to have the positive

1:07:40.240 --> 1:07:44.880
<v Speaker 3>experience generalize to other people. It's possible that things will

1:07:44.920 --> 1:07:49.040
<v Speaker 3>work even better if we have those kinds of more direct,

1:07:49.040 --> 1:07:51.919
<v Speaker 3>face to face with a name kind of contact. It's

1:07:51.960 --> 1:07:56.880
<v Speaker 3>also possible that there's something stealth effective about having it

1:07:56.920 --> 1:08:01.520
<v Speaker 3>be anonymous because it makes people feel more safe, right

1:08:01.920 --> 1:08:04.400
<v Speaker 3>that that that you can kind of ease into it

1:08:04.720 --> 1:08:06.360
<v Speaker 3>where you know, they don't know who I am, they

1:08:06.360 --> 1:08:07.480
<v Speaker 3>don't know my name, they don't.

1:08:07.280 --> 1:08:08.040
<v Speaker 2>Know what I look like.

1:08:08.200 --> 1:08:10.760
<v Speaker 3>No one's taking a screenshot of me and putting it

1:08:10.800 --> 1:08:14.439
<v Speaker 3>online and say who is this person? Right, So there's

1:08:14.480 --> 1:08:16.680
<v Speaker 3>a kind of safety that comes with the anonymity, and

1:08:16.680 --> 1:08:21.760
<v Speaker 3>then they can move from the anonymous context too in

1:08:21.800 --> 1:08:24.200
<v Speaker 3>person like the students did at Harvard in the dining hall,

1:08:24.600 --> 1:08:26.680
<v Speaker 3>or if we're when we're building this out online, we

1:08:26.720 --> 1:08:29.160
<v Speaker 3>might people give give people the option after they've already

1:08:29.160 --> 1:08:33.320
<v Speaker 3>had a friendly anonymous interaction to say, Okay, here's my

1:08:33.920 --> 1:08:37.040
<v Speaker 3>here's my social media handle for this platform or whatever

1:08:37.120 --> 1:08:39.080
<v Speaker 3>that we're both on, and you know, people can get

1:08:39.080 --> 1:08:43.719
<v Speaker 3>to know each other, you know, online and in something

1:08:43.760 --> 1:08:46.960
<v Speaker 3>that's more real life than than than an anonymous game.

1:08:47.120 --> 1:08:49.439
<v Speaker 3>So these are great questions that we want to experiment

1:08:49.479 --> 1:08:50.920
<v Speaker 3>with when we when we have the chance.

1:08:51.360 --> 1:08:55.320
<v Speaker 1>Great one last question, if everyone on earth understood moral

1:08:55.360 --> 1:09:00.559
<v Speaker 1>psychology as you do, what is one belief or habits

1:09:00.600 --> 1:09:04.480
<v Speaker 1>that you might hope would change individually and institutionally.

1:09:04.960 --> 1:09:07.320
<v Speaker 3>I think that at the psychological level, like at the

1:09:07.400 --> 1:09:11.720
<v Speaker 3>level of managing one's own mind, people would have a

1:09:11.760 --> 1:09:16.320
<v Speaker 3>little distance between their first thought, which may or be right.

1:09:16.240 --> 1:09:19.760
<v Speaker 2>Or may maybe not, and what they actually act on.

1:09:20.200 --> 1:09:23.240
<v Speaker 3>And you know this is there's a great bumper sticker,

1:09:23.320 --> 1:09:25.880
<v Speaker 3>don't believe everything you think, which I think sort of

1:09:25.920 --> 1:09:30.160
<v Speaker 3>beautifully captures this logic that people need to sort of

1:09:30.200 --> 1:09:32.439
<v Speaker 3>recognize that what you feel or your first thought is

1:09:32.479 --> 1:09:35.880
<v Speaker 3>not necessarily the right thing to do. And then I

1:09:35.920 --> 1:09:41.040
<v Speaker 3>think we need to have a kind of openness where

1:09:41.040 --> 1:09:44.840
<v Speaker 3>we recognize that whatever our differences, we have so much

1:09:44.840 --> 1:09:45.360
<v Speaker 3>in common.

1:09:45.760 --> 1:09:49.599
<v Speaker 2>We all, you know, we all want to be happy.

1:09:49.640 --> 1:09:52.240
<v Speaker 3>We don't want to suffer. We care about our families,

1:09:52.320 --> 1:09:55.040
<v Speaker 3>we care about our friends. We want to live in

1:09:55.040 --> 1:09:57.320
<v Speaker 3>a world that's almost all of us. Want to live

1:09:57.320 --> 1:10:01.000
<v Speaker 3>in a world that's peaceful rather than the violent. We

1:10:01.040 --> 1:10:04.800
<v Speaker 3>want to live in that larger US cooperative world at

1:10:04.880 --> 1:10:10.000
<v Speaker 3>least where we're not harming each other. Right, But the

1:10:10.160 --> 1:10:15.280
<v Speaker 3>terms of that cooperation are what's challenging. And what I

1:10:15.320 --> 1:10:17.320
<v Speaker 3>would hope to see is when people can sort of

1:10:17.360 --> 1:10:20.759
<v Speaker 3>let go of the grip of their prejudices and first judgments,

1:10:20.920 --> 1:10:22.840
<v Speaker 3>that people would be willing to take a step and

1:10:22.880 --> 1:10:25.000
<v Speaker 3>act on their curiosity and be able to say, okay,

1:10:25.600 --> 1:10:27.479
<v Speaker 3>can I get to know people who are differently, not

1:10:27.479 --> 1:10:29.320
<v Speaker 3>making any promises that I'm going to agree with them

1:10:29.360 --> 1:10:31.080
<v Speaker 3>or want to be their best friend or go into

1:10:31.080 --> 1:10:35.200
<v Speaker 3>business together, but at least try to understand. And if

1:10:35.240 --> 1:10:38.120
<v Speaker 3>I think we took those first two steps of liberating

1:10:38.120 --> 1:10:45.880
<v Speaker 3>ourselves from our intuitions and then liberating ourselves from our isolation,

1:10:46.120 --> 1:10:49.800
<v Speaker 3>only learning about other people from what bad actors on

1:10:49.880 --> 1:10:53.479
<v Speaker 3>social media have to say and encountering people more directly,

1:10:55.120 --> 1:10:58.479
<v Speaker 3>those things would make us see the humanity in each

1:10:58.520 --> 1:11:02.400
<v Speaker 3>other and we be I think that we would be

1:11:02.520 --> 1:11:05.479
<v Speaker 3>able to solve our biggest problems.

1:11:10.000 --> 1:11:12.600
<v Speaker 1>That was my interview with Josh Green. I still have

1:11:12.640 --> 1:11:14.519
<v Speaker 1>a bunch to say, but I want to remind you,

1:11:14.640 --> 1:11:19.720
<v Speaker 1>if you're able, go to GiveDirectly dot org slash cosmos.

1:11:20.040 --> 1:11:21.679
<v Speaker 1>I have that link in the show notes as well.

1:11:21.960 --> 1:11:25.840
<v Speaker 1>Give directly dot org slash cosmos. Donate whatever you can.

1:11:26.000 --> 1:11:29.320
<v Speaker 1>All the money goes directly to people in deep need

1:11:29.400 --> 1:11:33.280
<v Speaker 1>in Rwanda. No contribution is too small. So let's come

1:11:33.320 --> 1:11:36.839
<v Speaker 1>back to this idea of Josh's that our moral brains

1:11:37.120 --> 1:11:41.000
<v Speaker 1>are beautifully designed for a world that no longer exists.

1:11:41.080 --> 1:11:45.759
<v Speaker 1>They're exquisitely tuned for small circles, for family, for friends,

1:11:45.760 --> 1:11:49.000
<v Speaker 1>for the people whose faces we can see and whose

1:11:49.040 --> 1:11:53.400
<v Speaker 1>pain we can imagine. Our brains give us loyalty and

1:11:53.520 --> 1:11:57.439
<v Speaker 1>indignation and gratitude and guilt. This is why we'll run

1:11:57.479 --> 1:11:59.759
<v Speaker 1>into the street to pull a stranger out of traffic,

1:11:59.800 --> 1:12:02.960
<v Speaker 1>and also why we can feel more outrage about one

1:12:03.439 --> 1:12:07.880
<v Speaker 1>vivid case than about a million small tragedies. But the

1:12:08.120 --> 1:12:13.559
<v Speaker 1>challenges that define our modern life, from pandemics to global poverty,

1:12:13.600 --> 1:12:17.240
<v Speaker 1>to AI alignment to the future of democracies, these aren't

1:12:17.520 --> 1:12:21.559
<v Speaker 1>small circle problems. In many cases, they are statistical, They

1:12:21.560 --> 1:12:26.479
<v Speaker 1>are long term. They're geographically scattered. No one is knocking

1:12:26.520 --> 1:12:29.599
<v Speaker 1>on our door asking for help. There's no crying baby,

1:12:29.640 --> 1:12:33.920
<v Speaker 1>there's no burning building across the street. And so our

1:12:34.439 --> 1:12:37.920
<v Speaker 1>moral camera, as Joshua might put it, is just aiming

1:12:37.960 --> 1:12:41.880
<v Speaker 1>at the wrong scale. This is a design mismatch. We're

1:12:41.960 --> 1:12:46.200
<v Speaker 1>running stone age moral software on a planetary scale system.

1:12:46.880 --> 1:12:50.360
<v Speaker 1>So that leads us with two tasks. At the individual level.

1:12:50.960 --> 1:12:55.080
<v Speaker 1>The task is to become more bilingual in our own minds,

1:12:55.160 --> 1:12:59.920
<v Speaker 1>to recognize our emotional reactions, to recognize what they're good at,

1:13:00.520 --> 1:13:03.800
<v Speaker 1>but also to notice when they're steering us wrong, to

1:13:03.920 --> 1:13:07.400
<v Speaker 1>be willing when the stakes are big and abstract, to

1:13:07.560 --> 1:13:12.360
<v Speaker 1>flip into manual mode, to ask, okay, what actually helps

1:13:12.400 --> 1:13:15.679
<v Speaker 1>the most people? What am I missing because it doesn't

1:13:16.000 --> 1:13:20.479
<v Speaker 1>feel emotionally salient. At the societal level, the task is

1:13:20.479 --> 1:13:25.920
<v Speaker 1>to build better scaffolding around these imperfect brains. That means

1:13:26.000 --> 1:13:29.720
<v Speaker 1>institutions and norms and technologies, and even little bits of

1:13:30.240 --> 1:13:34.200
<v Speaker 1>choice architecture like the kinds of moral technologies that Josh

1:13:34.280 --> 1:13:39.439
<v Speaker 1>is working on, building things that nudge our caring in

1:13:39.560 --> 1:13:43.479
<v Speaker 1>directions that our emotions wouldn't find on their own. We

1:13:43.560 --> 1:13:48.280
<v Speaker 1>need systems to help our local, tribal instincts add up

1:13:48.320 --> 1:13:53.519
<v Speaker 1>to something globally wise. That doesn't mean turning ourselves into

1:13:53.560 --> 1:13:57.320
<v Speaker 1>cold calculators. Our emotions are part of what we're ultimately

1:13:57.360 --> 1:14:02.240
<v Speaker 1>trying to protect. Love and loyal and solidarity. These are

1:14:02.240 --> 1:14:05.400
<v Speaker 1>the best parts of being human. So the idea is

1:14:05.439 --> 1:14:09.639
<v Speaker 1>to use reason and evidence not to erase those feelings,

1:14:09.640 --> 1:14:13.160
<v Speaker 1>but to aim them. So the question to carry forward

1:14:13.200 --> 1:14:17.400
<v Speaker 1>from today's episode is how can each of us expand

1:14:17.560 --> 1:14:20.400
<v Speaker 1>the circle of the people that we care for and

1:14:20.439 --> 1:14:24.400
<v Speaker 1>feel responsible for without losing the warmth of the.

1:14:24.400 --> 1:14:26.320
<v Speaker 2>Small circle we evolved for.

1:14:26.600 --> 1:14:29.599
<v Speaker 1>That's a simple question that sits at the intersection of

1:14:29.640 --> 1:14:35.280
<v Speaker 1>our psychology, our politics, and fundamentally the future of our species.

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<v Speaker 1>Once again, if you can go to GiveDirectly dot org

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<v Speaker 1>slash cosmos. This is one way to turn your moral

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<v Speaker 1>intuitions into action and take everything we're learning about the

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<v Speaker 1>brain and use it to optimize how we go about

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<v Speaker 1>trying to heal the world. Go to eagleman dot com

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<v Speaker 1>podcasts for more information and to find further reading. Join

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<v Speaker 1>the weekly discussions on my substack and check out and

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<v Speaker 1>subscribe to Inner Cosmos on YouTube for videos of each

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<v Speaker 1>episode and to leave comments. Until next time, may your

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<v Speaker 1>moral instincts be kind and generous. I'm David Eagleman, and

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<v Speaker 1>this is Inner Cosmos.