WEBVTT - Interview With Steven Pinker: Masters in Business (Audio)

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<v Speaker 1>Look ahead, imagine more, gain insight for your industry with

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<v Speaker 1>forward thinking advice from the professionals at Cone Resnick. Is

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<v Speaker 1>your business ready to break through? Find out more at

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<v Speaker 1>Cone resnick dot com slash Breakthrough. This is Masters in

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<v Speaker 1>Business with Barry Ridholts on Bloomberg Radio. This week. On

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<v Speaker 1>the podcast, I had an absolutely fascinating and fantastic conversation

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<v Speaker 1>with a rock star professor of neural linguistics and cognitive

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<v Speaker 1>psychology and all sorts of other interesting uh fields of

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<v Speaker 1>study within the world of cognition and psychology, Professor Stephen

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<v Speaker 1>Pinker at Harvard University. This guy is a rock star.

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<v Speaker 1>This was really one of those conversations that was just

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<v Speaker 1>so fascinating and went in so many different directions. Uh.

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<v Speaker 1>He's a psychologist, but he also has a really fascinating

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<v Speaker 1>uh quantitative background, and so he's a guy that's actually

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<v Speaker 1>especially driven by data. When you think of things like

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<v Speaker 1>neural linguistics or or visual cognition, you don't think in

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<v Speaker 1>terms of of how's the math behind this? But he

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<v Speaker 1>has a mind that looks at the world very much

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<v Speaker 1>through a quantitative filter. Uh. He he wrote a number,

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<v Speaker 1>by the way, uh one a ton of awards at

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<v Speaker 1>at Harvard and throughout the sciences, highly highly regarded. His

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<v Speaker 1>books have are also really really well reviewed, very notable.

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<v Speaker 1>Uh the book Better Better Nature of Our Angels, why

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<v Speaker 1>violence has decreased around the world and indeed when you

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<v Speaker 1>look at it quantitatively, violence and war and crime or

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<v Speaker 1>at record low levels. I know it doesn't look that

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<v Speaker 1>way when you when you see the news, but that's

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<v Speaker 1>a fascinating conversation. It's I love that sort of counterintuitive.

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<v Speaker 1>Here's what everybody believes, it's all wrong, here's the data

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<v Speaker 1>and proving it. Uh. And and he brings that approach

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<v Speaker 1>to everything he touches. His His work on how the

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<v Speaker 1>mind works is really fascinating. How children acquire language skills

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<v Speaker 1>and why that is a significant evolutionary development amongst humans

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<v Speaker 1>is really, you know, groundbreaking, fascinating stuff. Um. You may

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<v Speaker 1>not think that there's an immediate application to the world

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<v Speaker 1>of investing, but he's just one of these people who

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<v Speaker 1>are so interesting and so knowledgeable and has such an

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<v Speaker 1>interesting model in his mind for how to approach thinking

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<v Speaker 1>about the world that I can't help but think that

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<v Speaker 1>there are lessons for investors in this. So a little

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<v Speaker 1>off the beaten path, but absolutely fascinating. Here is my

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<v Speaker 1>conversation with Professor Steven Pinker. This is Masters in Business

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<v Speaker 1>with Barry Ridholts on Bloomberg Radio. My special guest today

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<v Speaker 1>is Professor Steven Pinker. He is a rock star professor

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<v Speaker 1>of cognitive science and psychology at Harvard, where he holds

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<v Speaker 1>the title of Johnstone Family Professor in the psych Department.

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<v Speaker 1>He is a psychologist, linguist, and popular science author, specializing

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<v Speaker 1>in visual cognition and psycho linguistics. I think you can

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<v Speaker 1>find a lot of what we talked about today absolutely fascinating.

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<v Speaker 1>He's won numerous awards from the National Economy of Sciences,

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<v Speaker 1>the Royal Institute, the Cognitive Neuroscience Society. He is the

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<v Speaker 1>author of The Language Instinct, How the Mind Works, the

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<v Speaker 1>Better Angels of Our Nature, The Stuff of Thought, and

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<v Speaker 1>most recently The Sense of Style. He is also on

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<v Speaker 1>the usage panel of the American Heritage dis Dictionary. Professor Pinker,

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<v Speaker 1>welcome to Bloomberg. Thank you. First question, I have to

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<v Speaker 1>ask you what is visual cognition and psycholinguistics? Those are

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<v Speaker 1>two sub topics in the field of cognitive science, which

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<v Speaker 1>is how do we think? What? What is the nature

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<v Speaker 1>of intelligence. Visual cognition is how we um interpret what

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<v Speaker 1>we see, or how we think about what we see.

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<v Speaker 1>How do you recognize the face of a friend? How

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<v Speaker 1>do you find an object when you're rummaging through a drawer?

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<v Speaker 1>How do you imagine things that that are hypothetical, like

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<v Speaker 1>what would my living room look like if the couch

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<v Speaker 1>was on the other side, or what would the smalllecule

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<v Speaker 1>look like if I rotated in three dimensions? How do

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<v Speaker 1>we allocate attention across the visual field? How how does

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<v Speaker 1>your airport screener look for the hidden weapon in those

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<v Speaker 1>false colored X ray images and so on, or not

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<v Speaker 1>find them? So we have learned indeed, so that is

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<v Speaker 1>a problem in visual cognition. It's not vision in the

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<v Speaker 1>sense of seeing color and motion and uh and sharp detail,

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<v Speaker 1>but it's the next step up in the brain, namely,

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<v Speaker 1>how do you how does the visual world um interact

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<v Speaker 1>with what you know, what you see, what you think about.

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<v Speaker 1>So that raises an interesting question. How much of what

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<v Speaker 1>the average person perceives as a three hundred and sixty

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<v Speaker 1>d Greek construct of the universe around them, how much

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<v Speaker 1>of that is accurate and how much of that is

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<v Speaker 1>the brain filling in projecting. I don't want to say fabricating,

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<v Speaker 1>but filling in the blind spots and blank spaces is

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<v Speaker 1>what we see actually there or maybe not so much. Well,

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<v Speaker 1>when when we're not hallucinating and we're looking at something,

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<v Speaker 1>then we can we can see things vertically, and we

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<v Speaker 1>do it much better than any robot or artificial intelligence system.

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<v Speaker 1>That's why it's taken Google so long to develop a

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<v Speaker 1>self driving car. They're trying to bring it to the

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<v Speaker 1>and exceed the level of a human visual system. On

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<v Speaker 1>the other hand, there is an illusion that we have

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<v Speaker 1>a wall to wall tableau of visual detail. Uh. And

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<v Speaker 1>that is constructed by the brain because even if you

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<v Speaker 1>if you hold your hand out maybe eight inches from

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<v Speaker 1>the where you're looking, you can't even count the fingers

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<v Speaker 1>your vision. The acuity of your vision falls off really dramatically,

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<v Speaker 1>but your eyes are constantly flitting around UH. And so

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<v Speaker 1>your brain constructs an illusion of a continuously detailed visual world.

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<v Speaker 1>But outside the phobia, the spot that you're actually looking at,

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<v Speaker 1>vision is surprisingly course, and we rely on expectations and memories.

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<v Speaker 1>I could picture hundreds of listeners holding their arms out

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<v Speaker 1>and saying, you know, I can't count how many fingers

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<v Speaker 1>I have, And it doesn't have to be in the

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<v Speaker 1>in your peripheral vision. It just has to be a

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<v Speaker 1>few inches away from the direction of your gaze. So,

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<v Speaker 1>and people talk about tunnel vision or hyper focus. Really

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<v Speaker 1>that's the normal state of there's a sense in which

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<v Speaker 1>we all have tunnel vision. We don't realize it because

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<v Speaker 1>our eyeballs move around so quickly. And then psycho linguistics,

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<v Speaker 1>that was the second half of your question. That's another

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<v Speaker 1>topic in cognitive science, and that is the psychology of language.

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<v Speaker 1>How do we understand speech, how do we produce speech,

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<v Speaker 1>how do children learn their mother tongue? Where does language

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<v Speaker 1>come from, who decides what the rules are, how does

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<v Speaker 1>it change over time? How do we read? All of

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<v Speaker 1>those are topics in psycho linguistics, the psychology of language. So,

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<v Speaker 1>I don't remember which book it was. It might have

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<v Speaker 1>been the Stuff of Thought, or it might have been

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<v Speaker 1>um How the mind works. You talked about how words

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<v Speaker 1>sometimes are aunt amount of poetic, and it just made

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<v Speaker 1>me think of the mel Brooks call Rehner routine the

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<v Speaker 1>two thousand year Old Man, where they discuss how egg

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<v Speaker 1>and shower are automoto poetic and I won't spoil it.

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<v Speaker 1>People should go find it on YouTube. It's hilarious. But

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<v Speaker 1>how much of actual language is because things sound like

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<v Speaker 1>the way they are a bit uh, and so it's

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<v Speaker 1>not a complete coincidence that, say, the word malefluous solus

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<v Speaker 1>and the word cantankerous reminds you of a person with

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<v Speaker 1>a lot of sharp edges. On the other hand, that

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<v Speaker 1>only goes so far, because if you could really predict

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<v Speaker 1>what a word meant by what it sounded like, then

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<v Speaker 1>you wouldn't have to go through the laborious process of

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<v Speaker 1>learning another second language. All the words would would be

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<v Speaker 1>the meetings would be obvious. So most of the language

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<v Speaker 1>is arbitrary, but there is a little bit of correlation

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<v Speaker 1>between sound and meaning. So I just got back from Europe,

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<v Speaker 1>and I know most of what you've worked on has

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<v Speaker 1>come out of the English language. But why is it

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<v Speaker 1>that when a non speaker of let's say, French or

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<v Speaker 1>Italian listens, it sounds so melodic, or if you listen

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<v Speaker 1>to German it sounds so harsh and guttural. What is

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<v Speaker 1>it about those languages that give those things that that sensation. Well,

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<v Speaker 1>it's a component of language called phonology, the the the

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<v Speaker 1>sound pattern of the language, and that includes the set

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<v Speaker 1>of vowels and consonants that you're allowed to use. We

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<v Speaker 1>don't have in English, but you have it in Hebrew

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<v Speaker 1>and in uh German. Uh. It also includes the melody

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<v Speaker 1>and rhythm of speech, what's called prosody. Prosody, yes, so

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<v Speaker 1>that that's kind of the aspect of language that you

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<v Speaker 1>can hear behind a closed door, and you can often

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<v Speaker 1>recognize a language just from its prosody. I'm Barry RIDHLTZ.

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<v Speaker 1>You're listening to Masters in Business on Bloomberg Radio. My

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<v Speaker 1>special guest today is Professor Stephen pinker Uh. He teaches

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<v Speaker 1>at Harvard in the Psychology Department, studying cognition and psycholinguistics.

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<v Speaker 1>One of your more recent books was called The Bitter

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<v Speaker 1>Angels of Our Nature, How violence has declines, And when

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<v Speaker 1>you see the data on this, it's pretty it's pretty astonishing.

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<v Speaker 1>In the pres reference to Better Angels, you say the

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<v Speaker 1>present day we are blessed by an unprecedented level of

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<v Speaker 1>peaceful coexistence, but that seems to be contradicted by the

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<v Speaker 1>news headlines we see every day. How do you reconcile

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<v Speaker 1>the two because you can't get an accurate picture of

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<v Speaker 1>the world by looking at the headlines. The headlines are

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<v Speaker 1>about things that happen, they're not about things that don't happen.

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<v Speaker 1>And as long as the rate of violence hasn't fallen

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<v Speaker 1>to zero, they're always going to be enough violent incidents

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<v Speaker 1>to fill the news. And we can lose sight of

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<v Speaker 1>the vast amounts of the world that that are at peace. Currently.

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<v Speaker 1>The there's a there is a zone of war that

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<v Speaker 1>stretches pretty much from Nigeria through um Sub Saharan Africa,

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<v Speaker 1>into the Middle East and then down into Pakistan. But

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<v Speaker 1>five six of the world is at peace. And areas

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<v Speaker 1>of the world that had were torn by war for

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<v Speaker 1>centuries haven't had a war in in decades. Western Europe

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<v Speaker 1>one of the most historically violent part so the world,

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<v Speaker 1>hasn't had a war in in seventy years. Southeast Asia,

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<v Speaker 1>those of us who grew up remembering the war in Vietnam, Yes,

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<v Speaker 1>and and there has not been a war in Southeast

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<v Speaker 1>Asia and since a small skirmish between China and Vietnam

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<v Speaker 1>in the late eighties. Uh then, and it isn't just war,

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<v Speaker 1>it's also one on one crime, which actually kills more

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<v Speaker 1>people than wars in most years, other than in world wars.

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<v Speaker 1>But the rate of crime has gone down. Everyone knows

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<v Speaker 1>that it's gone down in the United States, but it

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<v Speaker 1>seems to have gone down globally as well, especially if

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<v Speaker 1>you look at even earlier periods in the history the

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<v Speaker 1>Middle Ages, the rate of homicide was about thirty five

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<v Speaker 1>times what it is today. So there was that wasn't

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<v Speaker 1>even more dramatic decline, and it's homicides that killed the

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<v Speaker 1>majority of people. So you mentioned the Middle Ages in

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<v Speaker 1>the book you described the six major historical clients of violence.

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<v Speaker 1>Let's skip ahead too. I think it was the third

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<v Speaker 1>or fourth decline, which was the the invention of the

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<v Speaker 1>printing press and the spread of literal Why is that

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<v Speaker 1>someonepactful on reducing violence. Well, it's a conjecture. The the

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<v Speaker 1>phenomenon we're trying to explain is why there was a

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<v Speaker 1>cascade of humanitarian reforms around the time of the European

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<v Speaker 1>Enlightenment the second half of the eighteenth century. Also, of

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<v Speaker 1>course the time of the American Declaration of Independence and

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<v Speaker 1>Bill of Rights, which was a kind of product of

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<v Speaker 1>the Enlightenment. Why why did people wake up in the

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<v Speaker 1>eighteenth century and say, well, maybe we should stop burning heretics,

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<v Speaker 1>or maybe we should stop executing people for stealing a cabbage. Uh,

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<v Speaker 1>maybe slavery isn't such a great idea when you come

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<v Speaker 1>down and try to justify it. Maybe we should stop

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<v Speaker 1>watching animals tear each other apart for entertainment. Maybe we

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<v Speaker 1>should stop throwing debtors in in prison. So all of

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<v Speaker 1>these reforms concentrated in a in a few decades, and

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<v Speaker 1>we have to ask why, then, why did it take

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<v Speaker 1>people millennia to figure out that might be something a

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<v Speaker 1>wee bit wrong with slavery, and so one the first

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<v Speaker 1>hypothesis is, well, maybe people got richer, and uh, if

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<v Speaker 1>your life is more pleasant, then you value life more generally,

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<v Speaker 1>and so you value the lives of others. But the

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<v Speaker 1>timing doesn't work because people only started to get rich

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<v Speaker 1>other than the kings and aristocrats in the nineteenth century,

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<v Speaker 1>and these reforms were really products of the eighteenth century.

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<v Speaker 1>So I suggested that maybe it's the rise of literacy

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<v Speaker 1>and printing in the exchange of ideas, and that was

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<v Speaker 1>the only technology that showed an increase in productivity prior

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<v Speaker 1>to the Industrial Revolution. The cost of printing a book

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<v Speaker 1>plunged in the seventeenth and eighteen centuries. There was kind

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<v Speaker 1>of an early version of Moore's law if you look

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<v Speaker 1>at the cost of producing a book. More and more

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<v Speaker 1>people were reading. They were best sellers. There were novels.

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<v Speaker 1>They're also pamphlets in the first newspapers. So the world

0:13:49.280 --> 0:13:53.200
<v Speaker 1>got more connected. People could exchange ideas, bad ideas could

0:13:53.200 --> 0:13:57.400
<v Speaker 1>be criticized. People would get together in also in cities,

0:13:57.559 --> 0:14:03.520
<v Speaker 1>in uh coffee houses and pubs and saloons to exchange ideas,

0:14:04.080 --> 0:14:06.960
<v Speaker 1>and it's possible that first of all, that could increase

0:14:07.040 --> 0:14:10.560
<v Speaker 1>your your circle of empathy. It's harder to dehumanize people

0:14:10.600 --> 0:14:14.400
<v Speaker 1>when you read their words, when you see what life

0:14:14.480 --> 0:14:17.400
<v Speaker 1>was like from their point of view. And also when

0:14:17.400 --> 0:14:20.880
<v Speaker 1>you have ideas being brought together and people debating them

0:14:20.880 --> 0:14:24.400
<v Speaker 1>and arguing them over them, then bad ideas tend to

0:14:24.400 --> 0:14:26.800
<v Speaker 1>be filtered out. So the idea that the reason that

0:14:26.840 --> 0:14:30.560
<v Speaker 1>there was a crop failure is because of witchcraft, for example,

0:14:30.600 --> 0:14:33.160
<v Speaker 1>the reason that there was an epidemic is because the

0:14:33.240 --> 0:14:36.440
<v Speaker 1>Jews poisoned the wells. Slavery is a good thing because

0:14:36.480 --> 0:14:39.200
<v Speaker 1>Africans can't do anything but be slaves. All of these

0:14:39.280 --> 0:14:42.720
<v Speaker 1>toxic ideas could start to seem ridiculous when you know

0:14:42.880 --> 0:14:47.120
<v Speaker 1>more about the world, and that was conceivably accelerated by

0:14:47.200 --> 0:14:52.040
<v Speaker 1>the exchange of printed matter. So education helps reduce violence

0:14:52.120 --> 0:14:56.800
<v Speaker 1>by making people less likely to believe silliness and nonsense

0:14:56.840 --> 0:15:00.560
<v Speaker 1>and more likely to understand basic science and the logic

0:15:00.680 --> 0:15:06.160
<v Speaker 1>of This causes that not witchcraft on average over the

0:15:06.200 --> 0:15:08.640
<v Speaker 1>long run, not in every case, because there have been

0:15:08.640 --> 0:15:14.480
<v Speaker 1>toxic ideas that have been advanced by intellectuals. Uh Communism,

0:15:14.520 --> 0:15:18.200
<v Speaker 1>for example, responsible for massive numbers of deaths, was an

0:15:18.200 --> 0:15:21.960
<v Speaker 1>intellectual movement, and Nazism there were plenty of Nazi professors.

0:15:22.400 --> 0:15:24.680
<v Speaker 1>But I think that when you have freedom of speech,

0:15:24.720 --> 0:15:27.240
<v Speaker 1>freedom of expression, so you don't get thrown in jail

0:15:27.400 --> 0:15:30.920
<v Speaker 1>by criticizing a bad idea, then it's more likely that

0:15:31.000 --> 0:15:33.160
<v Speaker 1>the bad ideas will be exposed. And it's not a

0:15:33.160 --> 0:15:38.400
<v Speaker 1>coincidence that repressive regimes are also repressive in um clapping

0:15:38.400 --> 0:15:42.320
<v Speaker 1>down on free speech. So we've seen a huge decrease

0:15:42.320 --> 0:15:44.640
<v Speaker 1>in crime and violence in the United States over the

0:15:44.640 --> 0:15:48.960
<v Speaker 1>past thirty years. Some people have attributed it to things

0:15:49.000 --> 0:15:52.880
<v Speaker 1>like the ending of lead paper and apartments. Other people

0:15:52.960 --> 0:15:57.440
<v Speaker 1>have looked at the removal of various outlives to gasoline

0:15:57.440 --> 0:16:01.320
<v Speaker 1>taking the lead out of gasoline. UH. The guys from

0:16:01.320 --> 0:16:04.120
<v Speaker 1>Freakonomics even have gone so far as to suggest Roe v.

0:16:04.280 --> 0:16:09.000
<v Speaker 1>Wade is a factor. Why the huge fall off just

0:16:09.080 --> 0:16:14.200
<v Speaker 1>in the most recent few decades. Yes, so, starting there

0:16:14.360 --> 0:16:17.520
<v Speaker 1>was an eight year decline of violent crime in the

0:16:17.560 --> 0:16:20.360
<v Speaker 1>United States, which brought it down to almost half of

0:16:20.400 --> 0:16:24.560
<v Speaker 1>its peak UH. And then surprisingly around O seven oh eight,

0:16:24.560 --> 0:16:27.480
<v Speaker 1>there was a second decline which no one predicted. Everyone said, well,

0:16:27.480 --> 0:16:30.040
<v Speaker 1>we have great recession, unemployment, crime is going to go up,

0:16:30.080 --> 0:16:32.880
<v Speaker 1>in equality UH and and crime went down instead of

0:16:32.920 --> 0:16:35.680
<v Speaker 1>going up. H. The honest answer is, no one really

0:16:35.680 --> 0:16:39.360
<v Speaker 1>knows what all the causes were. Probably the cute theories

0:16:39.640 --> 0:16:44.000
<v Speaker 1>like lead in the gasoline abortion are are wrong um

0:16:44.200 --> 0:16:46.960
<v Speaker 1>the AUH. And it may be that a number of

0:16:47.000 --> 0:16:50.480
<v Speaker 1>things went right around the same time. Among them were

0:16:51.240 --> 0:16:53.440
<v Speaker 1>an increase in the number of police in a change

0:16:53.440 --> 0:16:58.120
<v Speaker 1>in police tactics of policing got smarter nationwide, The homicide

0:16:58.200 --> 0:17:00.880
<v Speaker 1>rate absolutely plunged. In rates of other types of crime

0:17:00.920 --> 0:17:03.920
<v Speaker 1>like rape and assault and UH and robbery also went down.

0:17:04.359 --> 0:17:06.359
<v Speaker 1>And then there are also changes that no one really

0:17:06.440 --> 0:17:09.880
<v Speaker 1>can completely explain in the culture because there you also

0:17:09.920 --> 0:17:14.200
<v Speaker 1>had a decline in teenage pregnancy, decline in insurance fraud,

0:17:14.240 --> 0:17:18.040
<v Speaker 1>a decline in drug use. So somehow people got a

0:17:18.080 --> 0:17:20.640
<v Speaker 1>little bit more civilized starting in the nineties on top

0:17:20.680 --> 0:17:25.360
<v Speaker 1>of these other changes. So last question. You've noted that

0:17:25.440 --> 0:17:31.399
<v Speaker 1>the economic benefits of affluence, really a post nineteenth century phenomena,

0:17:31.640 --> 0:17:35.520
<v Speaker 1>did not have a big impact on on violent crime. Well,

0:17:35.560 --> 0:17:37.680
<v Speaker 1>what why do you imagine that is? Well, it didn't

0:17:37.680 --> 0:17:43.840
<v Speaker 1>have an impact on institutionalized violence, on slavery, on grizzly

0:17:43.920 --> 0:17:47.480
<v Speaker 1>torture as a form of criminal punishment like breaking on

0:17:47.520 --> 0:17:51.320
<v Speaker 1>the wheel and burning on this, on the stake um,

0:17:51.760 --> 0:17:55.320
<v Speaker 1>on hundreds of capital crimes on the lawbooks, so it's

0:17:55.359 --> 0:17:58.199
<v Speaker 1>really meaning crimes that there was a death penalty for

0:17:58.880 --> 0:18:02.600
<v Speaker 1>but did not involve homicide exactly. That's right, criticizing the

0:18:02.680 --> 0:18:08.119
<v Speaker 1>Royal garden being in the company. Listen, I understand some

0:18:08.200 --> 0:18:09.880
<v Speaker 1>of these other things, but if you're going to criticize

0:18:09.880 --> 0:18:16.919
<v Speaker 1>the royal that's it. That's amazing that a capital It

0:18:17.000 --> 0:18:20.439
<v Speaker 1>is amazing. England had four capital crimes on the books

0:18:20.440 --> 0:18:25.040
<v Speaker 1>and the prior to the nineteenth century, So the affluence

0:18:25.359 --> 0:18:29.680
<v Speaker 1>didn't didn't institution I think affluence does affect certain kinds

0:18:29.680 --> 0:18:33.080
<v Speaker 1>of violence. So, for example, countries that are at the

0:18:33.200 --> 0:18:35.840
<v Speaker 1>rock bottom end of the poverty scale and make less

0:18:35.840 --> 0:18:40.240
<v Speaker 1>than less than fift dollars GDP per capita are much

0:18:40.280 --> 0:18:44.280
<v Speaker 1>more likely to have civil wars, although once you climb

0:18:44.359 --> 0:18:47.320
<v Speaker 1>above that level then there isn't a clear relationship between

0:18:47.359 --> 0:18:50.639
<v Speaker 1>civil war and affluence. But certainly rock bottom poverty is

0:18:50.640 --> 0:18:55.159
<v Speaker 1>a contributor to civil war um in general, but not

0:18:55.160 --> 0:18:58.720
<v Speaker 1>not always. It's the poorer sectors of psycho of society

0:18:58.800 --> 0:19:01.040
<v Speaker 1>that are more crime prone. So there is there is

0:19:01.040 --> 0:19:03.879
<v Speaker 1>some relationship, but it's not a not a perfect relationship.

0:19:03.960 --> 0:19:06.919
<v Speaker 1>I'm Barry rit Halt. You're listening to Masters in Business

0:19:07.000 --> 0:19:11.400
<v Speaker 1>on Bloomberg Radio. My special guest today is Professor Stephen Pinker.

0:19:11.760 --> 0:19:15.640
<v Speaker 1>He is professor of cognitive science and psychology at Harvard,

0:19:16.320 --> 0:19:20.480
<v Speaker 1>author of numerous books, winner of numerous awards. His most

0:19:20.560 --> 0:19:24.480
<v Speaker 1>recent book is Sense of Style. And let's talk a

0:19:24.560 --> 0:19:28.359
<v Speaker 1>little bit about the way people communicate today with the

0:19:28.400 --> 0:19:33.560
<v Speaker 1>written word. What's the impact of the digital realm on writing?

0:19:34.800 --> 0:19:36.880
<v Speaker 1>I don't think there's a simple answer to that, because

0:19:36.880 --> 0:19:40.000
<v Speaker 1>there isn't one thing called writing. And when people it's

0:19:40.000 --> 0:19:42.080
<v Speaker 1>a question, I get a lot. Well, now that people

0:19:42.080 --> 0:19:44.960
<v Speaker 1>are writing a hundred forty characters for Twitter and instant

0:19:44.960 --> 0:19:49.240
<v Speaker 1>messages and emails, isn't the language going to deteriorate? And

0:19:49.359 --> 0:19:52.679
<v Speaker 1>the answer is no, because we don't just write in

0:19:53.160 --> 0:19:57.840
<v Speaker 1>tweets or in instant messages. We all command of variety

0:19:58.119 --> 0:20:01.600
<v Speaker 1>of styles for different formats. We don't speak the same

0:20:01.600 --> 0:20:05.959
<v Speaker 1>way when giving a lecture as we do um speaking

0:20:05.960 --> 0:20:09.320
<v Speaker 1>to our family across the dinner table. Uh. Text message

0:20:09.359 --> 0:20:11.800
<v Speaker 1>is going to be different from a funeral ooration. And

0:20:11.840 --> 0:20:14.720
<v Speaker 1>so just looking at one kind of writing and saying well,

0:20:14.800 --> 0:20:16.840
<v Speaker 1>that's what's going to happen to the language in general

0:20:17.000 --> 0:20:21.280
<v Speaker 1>just isn't valid because we tailor our our language to

0:20:21.320 --> 0:20:25.040
<v Speaker 1>the medium. What about technologies like power point and the

0:20:25.160 --> 0:20:30.679
<v Speaker 1>tendency for people to try and communicate by numbered bullet points.

0:20:31.600 --> 0:20:35.560
<v Speaker 1>There there's good power point, there's bad power point. Uh.

0:20:35.680 --> 0:20:40.840
<v Speaker 1>In science of scientific presentations are done in power point. Um.

0:20:40.920 --> 0:20:44.880
<v Speaker 1>Science has not shut down or or even slow down. It's,

0:20:45.119 --> 0:20:48.840
<v Speaker 1>if anything, accelerating, and power Point by mixing text and

0:20:49.040 --> 0:20:53.480
<v Speaker 1>images can be and video and audio can be remarkably powerful.

0:20:54.119 --> 0:20:58.280
<v Speaker 1>We've all sat through horrific power point presentations where just

0:20:58.359 --> 0:21:01.919
<v Speaker 1>binalities are are broken up into bullets. Uh so, but

0:21:01.960 --> 0:21:03.840
<v Speaker 1>it's like it's like writing and saying, like, what does

0:21:04.000 --> 0:21:06.560
<v Speaker 1>what does print do to the language? Well, there's there's

0:21:06.520 --> 0:21:08.400
<v Speaker 1>a lot of drivell that people write down, and there's

0:21:08.400 --> 0:21:10.720
<v Speaker 1>a lot of brilliance that people write down, but they

0:21:10.840 --> 0:21:15.400
<v Speaker 1>met PowerPoint medium opens up huge possibilities. Sturgeon's law applies

0:21:15.440 --> 0:21:19.600
<v Speaker 1>to everything. In other words, exactly. Um So, so let's

0:21:19.640 --> 0:21:22.760
<v Speaker 1>talk a little bit about how vocabulary and grammar of

0:21:22.840 --> 0:21:27.240
<v Speaker 1>English have changed, what drives these changes, and how much

0:21:27.280 --> 0:21:32.040
<v Speaker 1>has the English language changed just over the past century. Uh,

0:21:32.160 --> 0:21:36.480
<v Speaker 1>it hasn't changed so much that you can't understand uh

0:21:36.840 --> 0:21:39.399
<v Speaker 1>writing that was set down a hundred years ago. You know,

0:21:39.440 --> 0:21:41.359
<v Speaker 1>if you have a look at a copy of the

0:21:41.359 --> 0:21:44.639
<v Speaker 1>New York Times from and we can understand pretty much

0:21:44.680 --> 0:21:47.560
<v Speaker 1>all of it. But it feels different. The style was

0:21:47.600 --> 0:21:51.880
<v Speaker 1>more formal. There's been an informalization of style that might

0:21:51.960 --> 0:21:55.600
<v Speaker 1>parallel the informalization of everything else. The fact that gentlemen

0:21:55.640 --> 0:22:00.560
<v Speaker 1>don't wear ties everywhere, and that women don't wear white gloves, us,

0:22:00.600 --> 0:22:03.359
<v Speaker 1>the fact that we refer to each other on a

0:22:03.400 --> 0:22:06.359
<v Speaker 1>first name basis instead of Mr. And Mrs So and

0:22:06.400 --> 0:22:08.880
<v Speaker 1>so all the time, and writing has gotten more casual

0:22:08.920 --> 0:22:12.960
<v Speaker 1>as society has gotten more democratic, or at least the

0:22:13.280 --> 0:22:18.120
<v Speaker 1>look and feel is more democratized. Uh, And vocabulary definitely

0:22:18.119 --> 0:22:22.600
<v Speaker 1>turns over. If you look at an episode of contemporary

0:22:23.040 --> 0:22:25.800
<v Speaker 1>show that was set in the past, like Downton Abbey,

0:22:26.160 --> 0:22:28.800
<v Speaker 1>linguists of often had a field day at flagging all

0:22:28.840 --> 0:22:31.120
<v Speaker 1>of the idioms and figures of speech that just didn't

0:22:31.160 --> 0:22:34.880
<v Speaker 1>exist in the nineteen teens that the writers, UH kind

0:22:34.880 --> 0:22:37.760
<v Speaker 1>of anachronistically put in. There's all there's a lot of turnover.

0:22:37.800 --> 0:22:40.439
<v Speaker 1>A lot of it is. It is kind of random.

0:22:40.600 --> 0:22:44.040
<v Speaker 1>There's drift in and out. People an old saying will

0:22:44.080 --> 0:22:47.760
<v Speaker 1>will just sound fusty and old fashioned, and younger people

0:22:48.280 --> 0:22:50.959
<v Speaker 1>stop using it, and they'll introduce new figures of speech.

0:22:51.320 --> 0:22:53.719
<v Speaker 1>And so there's a constant turnover, which is why if

0:22:53.720 --> 0:22:55.720
<v Speaker 1>you go back more than a hundred years, so you

0:22:55.760 --> 0:22:59.000
<v Speaker 1>go back to Shakespeare, it's not often not that easy

0:22:59.080 --> 0:23:03.879
<v Speaker 1>to understand what the references were because the vocabulary is obsolete.

0:23:05.040 --> 0:23:07.280
<v Speaker 1>One of the things you you wrote in the book

0:23:07.280 --> 0:23:10.960
<v Speaker 1>that I thought was quite interesting, many of the alleged

0:23:11.040 --> 0:23:15.359
<v Speaker 1>rules of writing are actually superstitions. Explain what that means.

0:23:15.720 --> 0:23:18.840
<v Speaker 1>So many of us have been under the impression that

0:23:18.880 --> 0:23:21.600
<v Speaker 1>you wouldn't ought not to split an infinitive. So instead

0:23:21.640 --> 0:23:24.639
<v Speaker 1>of saying um, as Captain Cricket did, too boldly go

0:23:24.760 --> 0:23:26.879
<v Speaker 1>where no man has gone before, you should say to

0:23:27.200 --> 0:23:30.480
<v Speaker 1>go boldly where no man has gone before. That's a

0:23:30.520 --> 0:23:35.160
<v Speaker 1>perfect example of a superstition. There's absolutely no reason to

0:23:35.240 --> 0:23:39.200
<v Speaker 1>avoid a split infinitive. The whole rule came from a

0:23:39.280 --> 0:23:42.200
<v Speaker 1>kind of thick witted analogy to Latin, where you can't

0:23:42.240 --> 0:23:45.399
<v Speaker 1>split an infinitive. But there's abolutely no reason to avoid

0:23:45.400 --> 0:23:50.800
<v Speaker 1>spending with the proposition. Exactly so Shakespeare wrote, we are

0:23:51.160 --> 0:23:53.240
<v Speaker 1>such stuff as dreams are made on. You're gonna go

0:23:53.280 --> 0:23:57.080
<v Speaker 1>tell Shakespeare that he made a grammatical error. Absolutely not.

0:23:57.800 --> 0:24:00.439
<v Speaker 1>I'm Barry rid Helts. You're listening to Man Sessters in

0:24:00.480 --> 0:24:04.159
<v Speaker 1>Business on Bloomberg Radio. My guest today is Professor Stephen

0:24:04.200 --> 0:24:08.719
<v Speaker 1>pinker Uh, professor of psychology and linguistics at Harvard University.

0:24:09.400 --> 0:24:12.880
<v Speaker 1>Let's jump into some of the really fascinating things that

0:24:12.960 --> 0:24:17.760
<v Speaker 1>you have written about. There's there's one that really struck me.

0:24:18.240 --> 0:24:22.520
<v Speaker 1>Let's go start right off on the wonky linguistical things.

0:24:22.560 --> 0:24:27.720
<v Speaker 1>What's the difference between common knowledge and shared knowledge? Because

0:24:27.720 --> 0:24:31.199
<v Speaker 1>they seem so similar. Yeah. Shared knowledge is when you

0:24:31.240 --> 0:24:34.800
<v Speaker 1>know something and I know something. Common knowledge is a

0:24:34.960 --> 0:24:39.359
<v Speaker 1>term from game theory and logic is when I know something,

0:24:39.440 --> 0:24:41.359
<v Speaker 1>you know something. I know that you know it, you

0:24:41.359 --> 0:24:42.800
<v Speaker 1>know that I know it, I know that you know

0:24:42.920 --> 0:24:44.480
<v Speaker 1>that I know that you know that I know it,

0:24:44.640 --> 0:24:47.919
<v Speaker 1>at infinitum, and that makes a difference. It makes a

0:24:47.920 --> 0:24:52.160
<v Speaker 1>difference in um logically, there's certain things that you can

0:24:52.960 --> 0:24:56.320
<v Speaker 1>deduce if something is commonly known that as you know

0:24:56.400 --> 0:24:58.040
<v Speaker 1>that I know that you know it, and it makes

0:24:58.080 --> 0:24:59.840
<v Speaker 1>a difference. I think in our everyday lives when we

0:24:59.840 --> 0:25:03.040
<v Speaker 1>have an expression like the emperor's new clothes, what are

0:25:03.040 --> 0:25:05.000
<v Speaker 1>we referring to? And the little boy said, the emperor

0:25:05.040 --> 0:25:07.680
<v Speaker 1>is naked. He wasn't telling anyone anything that they didn't

0:25:07.680 --> 0:25:09.800
<v Speaker 1>already know. They could see the emperor was naked. So

0:25:09.840 --> 0:25:12.280
<v Speaker 1>why did it? Why was it such a big deal? Well,

0:25:12.480 --> 0:25:15.280
<v Speaker 1>at that moment, everyone knew that everyone else knew that

0:25:15.320 --> 0:25:17.800
<v Speaker 1>everyone else knew that everyone else knew that the emperor

0:25:17.840 --> 0:25:20.560
<v Speaker 1>was naked, and that allowed them to challenge the emperor's

0:25:20.600 --> 0:25:23.640
<v Speaker 1>authority by breaking out into laughter. But before the little

0:25:23.640 --> 0:25:26.000
<v Speaker 1>boy said that, people didn't realize that they had a

0:25:26.040 --> 0:25:28.760
<v Speaker 1>shared knowledge of his there was could there could be

0:25:28.840 --> 0:25:30.800
<v Speaker 1>a you know, a little scintilla of doubt. You know,

0:25:30.880 --> 0:25:32.919
<v Speaker 1>I can see it, but how do I know that

0:25:32.960 --> 0:25:34.520
<v Speaker 1>everyone else can see it? And how do I know

0:25:34.600 --> 0:25:36.920
<v Speaker 1>that they know that that I know? And that makes

0:25:36.920 --> 0:25:39.720
<v Speaker 1>it by it makes a difference in technology, especially for

0:25:40.000 --> 0:25:43.399
<v Speaker 1>uh what they call network externalities, That is when the

0:25:43.440 --> 0:25:46.600
<v Speaker 1>advantage of a technology depends on everyone else using it,

0:25:47.080 --> 0:25:51.280
<v Speaker 1>and so to generate a next network externality, you need

0:25:51.320 --> 0:25:53.960
<v Speaker 1>to generate common knowledge. And the best example is from

0:25:54.000 --> 0:25:59.439
<v Speaker 1>Michael Choa is when Apple introduced the Macintosh back I

0:25:59.440 --> 0:26:01.800
<v Speaker 1>think it was the most expensive commercial ever made. They

0:26:01.840 --> 0:26:05.239
<v Speaker 1>introduced it and the Super Bowl played once directed by

0:26:05.320 --> 0:26:10.359
<v Speaker 1>Ridley Scott, exactly the famous commercial. Now, the thing is,

0:26:10.440 --> 0:26:13.040
<v Speaker 1>no matter how good a computer Macintosh is, no one

0:26:13.119 --> 0:26:15.160
<v Speaker 1>is going to buy it if they think that they're

0:26:15.200 --> 0:26:17.440
<v Speaker 1>the only one buying it, because there won't be enough software,

0:26:17.480 --> 0:26:20.200
<v Speaker 1>there won't be enough peripherals. You have to know two things.

0:26:20.280 --> 0:26:22.440
<v Speaker 1>You have to know. Number one, it's a good computer.

0:26:22.880 --> 0:26:26.080
<v Speaker 1>Number two, everyone knows that. Everyone knows that. Everyone knows

0:26:26.119 --> 0:26:28.720
<v Speaker 1>that it's a good computer. And that's why you had

0:26:28.760 --> 0:26:32.800
<v Speaker 1>to introduce it with a um with something that made

0:26:32.840 --> 0:26:34.840
<v Speaker 1>a splash that you knew when you were watching the

0:26:34.840 --> 0:26:37.280
<v Speaker 1>super Bowl that the whole country is watching the super Bowl,

0:26:37.560 --> 0:26:39.439
<v Speaker 1>and so you knew that this product was going to

0:26:39.480 --> 0:26:42.159
<v Speaker 1>be its advantages were going to be common knowledge as

0:26:42.160 --> 0:26:44.719
<v Speaker 1>opposed to share knowledge. So so it's more than just

0:26:44.800 --> 0:26:47.760
<v Speaker 1>the network effects like a fax machine or what have you.

0:26:48.240 --> 0:26:53.280
<v Speaker 1>It's the network effect plus everybody recognizing that this is now. Well,

0:26:53.320 --> 0:26:55.320
<v Speaker 1>that's how you create the network effects. You have to

0:26:55.359 --> 0:26:58.480
<v Speaker 1>generate common knowledge. And the easiest way to generate common

0:26:58.520 --> 0:27:01.680
<v Speaker 1>knowledge is if there's an event that everyone can witness

0:27:01.840 --> 0:27:06.000
<v Speaker 1>while knowing that everyone else's witnessing the super bowls. That's

0:27:06.000 --> 0:27:07.800
<v Speaker 1>why the ads in the super Bowl get almost as

0:27:07.840 --> 0:27:10.040
<v Speaker 1>much coverage of the super Bowl itself, because that's where

0:27:10.480 --> 0:27:13.439
<v Speaker 1>companies that introduce a product that depends on a network

0:27:13.480 --> 0:27:17.080
<v Speaker 1>effect will introduce the company. Monster dot com is another example.

0:27:17.240 --> 0:27:19.280
<v Speaker 1>Might be a great employment site, but who's going to

0:27:19.359 --> 0:27:23.119
<v Speaker 1>go there unless they think that employers are advertising jobs

0:27:23.320 --> 0:27:25.600
<v Speaker 1>and vice versa. Who's going to advertise there unless you

0:27:25.600 --> 0:27:27.240
<v Speaker 1>know that people are going to be looking for jobs,

0:27:27.520 --> 0:27:29.200
<v Speaker 1>And so you make a big splash on a super

0:27:29.200 --> 0:27:34.840
<v Speaker 1>Bowl at Let let me continue along u surprisingly interesting things.

0:27:35.520 --> 0:27:38.520
<v Speaker 1>Why do we have facial expressions and what functions do

0:27:38.560 --> 0:27:42.240
<v Speaker 1>they serve. Yeah, it's not just too you might say

0:27:42.240 --> 0:27:44.120
<v Speaker 1>it wouldn't it be best to keep a poker face

0:27:44.160 --> 0:27:47.320
<v Speaker 1>and not to know, not to show your cards. Uh.

0:27:47.800 --> 0:27:54.000
<v Speaker 1>Facial expressions can um can signal the credibility of a

0:27:54.119 --> 0:27:57.000
<v Speaker 1>threat or a promise, and in a study that I

0:27:57.000 --> 0:27:59.480
<v Speaker 1>did with Ian Reid and Peter de Sholey, we found

0:27:59.520 --> 0:28:03.840
<v Speaker 1>that threats are more credible when they're delivered with an

0:28:03.880 --> 0:28:09.120
<v Speaker 1>angry expression and tone of voice, because they are involuntary

0:28:09.200 --> 0:28:11.679
<v Speaker 1>unless you're a really really good actor, unless they're perceived

0:28:11.720 --> 0:28:14.919
<v Speaker 1>as real as sincere, because they are sincere in most cases.

0:28:15.080 --> 0:28:17.640
<v Speaker 1>So people aren't that good at controlling their facial expressions.

0:28:17.640 --> 0:28:20.560
<v Speaker 1>So we've seen I've read about other studies where they

0:28:20.600 --> 0:28:24.560
<v Speaker 1>look at people smiling and apparently an actual smile involves

0:28:24.600 --> 0:28:27.520
<v Speaker 1>the eyes, and a fake smile just involves the mouth,

0:28:27.920 --> 0:28:31.720
<v Speaker 1>and on a subconscious level, people can see and and

0:28:31.720 --> 0:28:35.159
<v Speaker 1>tell the difference. Is am I telling that right? Or

0:28:35.320 --> 0:28:37.520
<v Speaker 1>absolutely sure? When the you know, when the flight attendant

0:28:37.560 --> 0:28:40.320
<v Speaker 1>says bye bye, bye bye with the grin pasted on

0:28:40.320 --> 0:28:43.360
<v Speaker 1>her face, you know that she's not actually experiencing joy.

0:28:43.760 --> 0:28:46.240
<v Speaker 1>And it's usually because the sincere smile as along with

0:28:46.360 --> 0:28:49.280
<v Speaker 1>a crinkling of the eyes, not just the mouth in

0:28:49.320 --> 0:28:53.160
<v Speaker 1>a U shape. So this combines both the visual cognition

0:28:53.440 --> 0:28:56.800
<v Speaker 1>and the uh the language aspect of this as well,

0:28:56.840 --> 0:28:59.960
<v Speaker 1>doesn't it. Indeed, And talking to speaking of common knowledge,

0:29:00.000 --> 0:29:02.479
<v Speaker 1>which we discussed earlier in the program, why do people blush?

0:29:02.640 --> 0:29:06.400
<v Speaker 1>That's a puzzle that I've thought about, and I think

0:29:06.400 --> 0:29:09.760
<v Speaker 1>that which is unlike other facial expressions, which are conveyed

0:29:09.760 --> 0:29:13.120
<v Speaker 1>by contracting muscles, with blushing, You've got this rush of

0:29:13.160 --> 0:29:16.000
<v Speaker 1>blood to the face. And I think it's because it's um.

0:29:16.280 --> 0:29:19.120
<v Speaker 1>It generates common knowledge. That is when the thing about

0:29:19.120 --> 0:29:22.880
<v Speaker 1>blushing is you uh. When you blush, you feel it

0:29:22.920 --> 0:29:25.200
<v Speaker 1>from the inside and you display it from the on

0:29:25.240 --> 0:29:28.360
<v Speaker 1>the outside, and you know that everyone knows that you're blushing.

0:29:28.760 --> 0:29:30.960
<v Speaker 1>And in fact, when someone says you're a blushing that

0:29:31.040 --> 0:29:33.240
<v Speaker 1>makes it all the worst. You blush all the more

0:29:33.320 --> 0:29:36.080
<v Speaker 1>beat red. So with the genuine and sincere and both

0:29:36.080 --> 0:29:39.840
<v Speaker 1>parties understand what it means exactly, it's I I messed up,

0:29:40.000 --> 0:29:41.680
<v Speaker 1>and I know that I messed up. And I'm not

0:29:41.680 --> 0:29:44.160
<v Speaker 1>trying to pull anything over on you. I'm not not

0:29:44.200 --> 0:29:47.280
<v Speaker 1>a psychopath. I'm not a cheater. I have the same

0:29:47.360 --> 0:29:49.840
<v Speaker 1>standards that you did, and I know that I messed up,

0:29:50.040 --> 0:29:52.360
<v Speaker 1>which is a way of knowing that the person is

0:29:52.400 --> 0:29:54.239
<v Speaker 1>less likely to mess up in the future if at

0:29:54.280 --> 0:29:58.920
<v Speaker 1>least he recognizes that he messed up. So blushing embarrassment

0:29:59.120 --> 0:30:04.239
<v Speaker 1>isn't acknowledgement of common ethical standards? Is that? Is that

0:30:04.280 --> 0:30:08.720
<v Speaker 1>how common morality? Am I mistating that? That's right, common norms,

0:30:08.760 --> 0:30:11.200
<v Speaker 1>that's right, But in particular the common knowledge, in that

0:30:11.320 --> 0:30:15.320
<v Speaker 1>technical sense of if I'm blushing, then not, I know

0:30:15.520 --> 0:30:17.640
<v Speaker 1>that you know that I know that I've messed up,

0:30:17.880 --> 0:30:21.040
<v Speaker 1>and that means that I, by blushing, I'm acknowledging that

0:30:21.080 --> 0:30:24.440
<v Speaker 1>I'm playing by the same rules. So I mentioned morality

0:30:24.480 --> 0:30:27.640
<v Speaker 1>and ethics. One of the columns you had written, I

0:30:27.680 --> 0:30:30.760
<v Speaker 1>think it was for The Times talked about three people,

0:30:31.440 --> 0:30:36.480
<v Speaker 1>Mother Teresa, Bill Gates, and Norman Borlog And if you

0:30:36.520 --> 0:30:40.200
<v Speaker 1>were to ask various people, who's the most admirable of

0:30:40.280 --> 0:30:45.960
<v Speaker 1>these three people, who is the most um has had

0:30:46.000 --> 0:30:49.920
<v Speaker 1>the greatest impact on on humans? Most most people get

0:30:49.920 --> 0:30:52.200
<v Speaker 1>the answers to that wrong. Yes, I mean the common

0:30:52.240 --> 0:30:54.640
<v Speaker 1>answer as well. You know Mother Teresa, she said, you

0:30:54.640 --> 0:30:56.520
<v Speaker 1>know a saint. She is the most. In fact, if

0:30:56.520 --> 0:30:59.239
<v Speaker 1>you ask someone who is the most moral person of

0:30:59.280 --> 0:31:02.520
<v Speaker 1>the entry, they would say, oh, I guess Mother Teresa.

0:31:02.800 --> 0:31:05.040
<v Speaker 1>And I think, what exactly did she do? I mean,

0:31:05.520 --> 0:31:07.240
<v Speaker 1>you know, she washed the feet of some you know,

0:31:07.320 --> 0:31:12.040
<v Speaker 1>lepers and brought them well help them. I mean, how

0:31:12.080 --> 0:31:17.200
<v Speaker 1>did she actually make them less poor? Temporarily for a

0:31:17.240 --> 0:31:19.320
<v Speaker 1>meal or two? But for a meal or two. But

0:31:19.360 --> 0:31:23.040
<v Speaker 1>then you look at um Bill Gates, and I used

0:31:23.080 --> 0:31:25.520
<v Speaker 1>the example at a time before he became famous as

0:31:25.560 --> 0:31:28.160
<v Speaker 1>a philanthropist and was just starting the Bill and Melinda

0:31:28.200 --> 0:31:32.600
<v Speaker 1>Gates Foundation. Um, he's trying to conquer infectious disease in

0:31:32.640 --> 0:31:38.360
<v Speaker 1>the developing world with a the chance of improving the

0:31:38.440 --> 0:31:41.760
<v Speaker 1>lives of tens of millions of people, of saving tens

0:31:41.760 --> 0:31:44.720
<v Speaker 1>of millions of lives. Then Norman borlog I threw in,

0:31:44.760 --> 0:31:48.520
<v Speaker 1>because that's a fascinating so I never heard of him.

0:31:48.080 --> 0:31:52.720
<v Speaker 1>He won the Nobel Peace Price for uh inventing the

0:31:52.760 --> 0:31:57.320
<v Speaker 1>Green Revolution in the nineteen sixties, developing crops and methods

0:31:57.320 --> 0:32:01.200
<v Speaker 1>of farming that multiplied the amount of food that an

0:32:01.240 --> 0:32:04.320
<v Speaker 1>acre of land would deliver. He's credited with saving a

0:32:04.400 --> 0:32:07.000
<v Speaker 1>billion lives, more than anyone in history, and no one's

0:32:07.000 --> 0:32:10.200
<v Speaker 1>heard of him he wins, and yet is totally unknown.

0:32:10.800 --> 0:32:13.920
<v Speaker 1>So what it shows is that our sense that our

0:32:14.000 --> 0:32:18.280
<v Speaker 1>own ascription of morality, who we revere, who we don't

0:32:18.280 --> 0:32:21.320
<v Speaker 1>care about, who we even maybe even revile. By the way,

0:32:21.360 --> 0:32:23.400
<v Speaker 1>the other reason I chose Bill Gates was at the

0:32:23.400 --> 0:32:27.160
<v Speaker 1>time that he was associated with ms DOS and windows

0:32:28.400 --> 0:32:30.520
<v Speaker 1>everyone hated and so everyone hated him. He got up

0:32:30.680 --> 0:32:33.120
<v Speaker 1>someone through a pianist face. There were I Hate Gates

0:32:33.200 --> 0:32:37.920
<v Speaker 1>websites at the time. Uh. It so our our description

0:32:37.960 --> 0:32:41.600
<v Speaker 1>of morality, who we give brownie points to is very

0:32:41.680 --> 0:32:44.000
<v Speaker 1>loosely related to how much good they do in the world.

0:32:44.360 --> 0:32:47.440
<v Speaker 1>And uh, it's actually a quirk of our own nature

0:32:47.520 --> 0:32:49.880
<v Speaker 1>of who we admire. I think it relates to who

0:32:49.920 --> 0:32:52.160
<v Speaker 1>we would like to have on our side and our

0:32:52.200 --> 0:32:55.320
<v Speaker 1>foxhole part of our community, and it isn't really closely

0:32:55.360 --> 0:32:58.240
<v Speaker 1>related to how much good they do in the world. So,

0:32:59.080 --> 0:33:01.360
<v Speaker 1>if people want to find line more of your writings

0:33:01.440 --> 0:33:04.400
<v Speaker 1>online in addition to all your various books, where's the

0:33:04.440 --> 0:33:07.480
<v Speaker 1>best place to send them? Stephen Pinker dot com is

0:33:07.520 --> 0:33:11.240
<v Speaker 1>my website that has links to all of my articles,

0:33:11.520 --> 0:33:13.800
<v Speaker 1>as well as two pages for each one of my books.

0:33:14.560 --> 0:33:17.719
<v Speaker 1>If you enjoy this conversation. Be sure and stick around

0:33:17.840 --> 0:33:20.360
<v Speaker 1>and listen to our podcast extras, where we keep the

0:33:20.400 --> 0:33:24.520
<v Speaker 1>tape rolling and continue to chat about all things cognitive

0:33:24.600 --> 0:33:27.920
<v Speaker 1>and linguistic. Be sure and check out my daily column

0:33:27.920 --> 0:33:31.400
<v Speaker 1>on Bloomberg View dot com or follow me on Twitter

0:33:31.720 --> 0:33:35.320
<v Speaker 1>at rit Halts. I'm Barry rit Halts. You're listening to

0:33:35.440 --> 0:33:39.520
<v Speaker 1>Masters in Business on Bloomberg Radio. Are you looking to

0:33:39.560 --> 0:33:42.440
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0:33:42.520 --> 0:33:46.240
<v Speaker 1>and advisory professionals from cone Resnick can guide you. Cone

0:33:46.280 --> 0:33:50.920
<v Speaker 1>Resnick delivers industry expertise and forward thinking perspective that can

0:33:50.920 --> 0:33:56.880
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0:33:57.200 --> 0:34:00.960
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0:34:01.040 --> 0:34:05.240
<v Speaker 1>more at cone Resnick dot com slash Breakthrough, cone Reisneck

0:34:05.480 --> 0:34:10.719
<v Speaker 1>Accounting Text Advisory. Welcome to the podcast, Steve, I don't

0:34:10.760 --> 0:34:14.080
<v Speaker 1>want to call you Professor Panker. Steve, what Steve? Thank

0:34:14.120 --> 0:34:16.520
<v Speaker 1>you so much for doing this. This is really I

0:34:16.560 --> 0:34:20.200
<v Speaker 1>love this stuff. I find it endlessly fascinating and anytime

0:34:20.360 --> 0:34:25.560
<v Speaker 1>I can weave cognition into what investors should be looking at,

0:34:25.600 --> 0:34:29.960
<v Speaker 1>thinking about, and just stimulating their thought process to develop

0:34:30.320 --> 0:34:35.400
<v Speaker 1>better mental models and better processes to approach this stuff.

0:34:35.520 --> 0:34:39.239
<v Speaker 1>I think it's just fascinating, and it's your work is

0:34:39.280 --> 0:34:43.200
<v Speaker 1>so diverse that you're obviously fascinated by so much of this.

0:34:43.360 --> 0:34:47.080
<v Speaker 1>It's apparent and everything I read of yours absolutely and

0:34:47.120 --> 0:34:49.560
<v Speaker 1>thank you for having me on. Well, it's been it's

0:34:49.600 --> 0:34:52.719
<v Speaker 1>been my pleasure. There are some questions we didn't get

0:34:52.760 --> 0:34:56.640
<v Speaker 1>to before I do my standard questions, but some of

0:34:56.680 --> 0:34:59.440
<v Speaker 1>these I just have to come back to. So in

0:34:59.520 --> 0:35:03.239
<v Speaker 1>the ninet fifties, comic books were going to turn juveniles

0:35:03.320 --> 0:35:07.880
<v Speaker 1>into delinquents. And what happened subsequent to that, Yeah, the

0:35:08.040 --> 0:35:11.920
<v Speaker 1>nineties were was a decade of very low crime, and

0:35:11.920 --> 0:35:15.000
<v Speaker 1>then the nines same thing. Video games We're going to

0:35:15.080 --> 0:35:18.800
<v Speaker 1>cause people to become ultra violent, especially the first person

0:35:18.840 --> 0:35:21.840
<v Speaker 1>shooter games. It's easy to imagine how that might happen,

0:35:21.920 --> 0:35:23.879
<v Speaker 1>but it didn't happen. That was the era in which

0:35:23.920 --> 0:35:29.520
<v Speaker 1>crime plummeted, and then in general, television, transistor radio's rock

0:35:29.560 --> 0:35:33.520
<v Speaker 1>and roll music videos were decades where people were supposed

0:35:33.560 --> 0:35:36.680
<v Speaker 1>to get stupid. That's right, and actually i Q scores

0:35:36.719 --> 0:35:40.600
<v Speaker 1>have been increasing for decades, the so called Flynn effect. Well,

0:35:40.719 --> 0:35:42.719
<v Speaker 1>crime did go up in the nineteen sixties and it

0:35:42.840 --> 0:35:47.319
<v Speaker 1>stayed high from the sixties through the early nineties, so

0:35:47.480 --> 0:35:49.759
<v Speaker 1>not all of so. So the people who said that

0:35:51.200 --> 0:35:53.359
<v Speaker 1>when rock and roll was coming in that they would

0:35:53.400 --> 0:35:57.719
<v Speaker 1>lead to a breakdown of order and safety weren't completely wrong,

0:35:57.800 --> 0:36:01.120
<v Speaker 1>and that there was a crime shot up by a

0:36:01.200 --> 0:36:03.960
<v Speaker 1>factor of more than two. So it was rock and roll.

0:36:04.000 --> 0:36:07.759
<v Speaker 1>It wasn't an ill considered war in Southeast Asia. It

0:36:07.840 --> 0:36:11.160
<v Speaker 1>was music. Well it wasn't rock and roll. But but

0:36:11.360 --> 0:36:14.960
<v Speaker 1>although it wasn't, the war in Asia probably didn't lead

0:36:15.000 --> 0:36:17.759
<v Speaker 1>to a rise in street crime in uh in the

0:36:17.840 --> 0:36:22.360
<v Speaker 1>United States either, but it did lead to So what

0:36:22.360 --> 0:36:24.960
<v Speaker 1>what I remember New York City in the seventies was

0:36:25.040 --> 0:36:30.120
<v Speaker 1>a disaster. What led to a breakdown in those basic

0:36:30.239 --> 0:36:36.000
<v Speaker 1>societal norms of not robbing and killing and raping? How

0:36:36.040 --> 0:36:38.840
<v Speaker 1>does that go off the rails? Again, the the honest

0:36:38.880 --> 0:36:41.000
<v Speaker 1>answers that we don't know for sure, but a number

0:36:41.000 --> 0:36:45.040
<v Speaker 1>of things happened. The baby boomer generation reached its crime

0:36:45.080 --> 0:36:48.759
<v Speaker 1>prone years in the sixties. That wasn't enough to explain it,

0:36:48.800 --> 0:36:52.680
<v Speaker 1>that would explain why violent crime would increase by violent

0:36:52.719 --> 0:36:56.600
<v Speaker 1>crime in fact increase, But it may be that having

0:36:56.600 --> 0:37:00.240
<v Speaker 1>a whole generation coming of age at the same time

0:37:00.640 --> 0:37:05.200
<v Speaker 1>overwhelmed societies defenses, and it was a time in which

0:37:05.239 --> 0:37:09.680
<v Speaker 1>there was a civil unrest, change in rights. There was

0:37:09.719 --> 0:37:11.400
<v Speaker 1>a whole bunch of a whole bunch of things, and

0:37:11.480 --> 0:37:15.600
<v Speaker 1>a general you know, we we grew up uh in it.

0:37:15.640 --> 0:37:19.680
<v Speaker 1>There was a decline respect for authority. The police backed off.

0:37:21.440 --> 0:37:25.239
<v Speaker 1>There is some truth to the the explanation that the

0:37:25.280 --> 0:37:28.400
<v Speaker 1>criminal justice system was less likely to put people behind bars?

0:37:28.840 --> 0:37:32.719
<v Speaker 1>What about the broken window thesis? To any of that,

0:37:33.120 --> 0:37:35.720
<v Speaker 1>there there is evidence that that that the broken windows

0:37:35.719 --> 0:37:38.680
<v Speaker 1>effect is real. That is, if a neighborhood shows signs

0:37:38.719 --> 0:37:43.279
<v Speaker 1>of disrepair, the famous broken windows, graffiti, turnstile jumping, and

0:37:43.280 --> 0:37:47.560
<v Speaker 1>so on, then that conveys the message that that this

0:37:47.680 --> 0:37:49.520
<v Speaker 1>is a place where the rules are not enforced. And

0:37:49.520 --> 0:37:53.440
<v Speaker 1>there's some experiments that show that increasing the general appearance

0:37:53.480 --> 0:37:56.319
<v Speaker 1>of order leads to a decrease in in the rate

0:37:56.360 --> 0:37:59.040
<v Speaker 1>of crime. It doesn't deserve all the credit, but it

0:37:59.080 --> 0:38:02.360
<v Speaker 1>may be deserved part of it. I find that I

0:38:02.400 --> 0:38:06.239
<v Speaker 1>find that fascinating. Let me see what else I skipped through. Oh,

0:38:06.320 --> 0:38:08.600
<v Speaker 1>let's talk about the long piece. When we were talking

0:38:08.600 --> 0:38:13.719
<v Speaker 1>about from Better Angels, the various six phases of um

0:38:13.840 --> 0:38:18.480
<v Speaker 1>decrease in violence. What what exactly is the long piece

0:38:18.480 --> 0:38:21.240
<v Speaker 1>and what was the cause of it? Long piece refers

0:38:21.280 --> 0:38:24.799
<v Speaker 1>to the fact that war between great powers that the

0:38:24.800 --> 0:38:29.040
<v Speaker 1>eight pound guerrillas of the world um has kind of stopped.

0:38:29.080 --> 0:38:31.120
<v Speaker 1>The last one that we had was in nineteen fifty

0:38:31.200 --> 0:38:32.960
<v Speaker 1>three with the end of the Korean War, with the

0:38:33.040 --> 0:38:35.279
<v Speaker 1>United States on one side in China on the other.

0:38:36.040 --> 0:38:38.600
<v Speaker 1>Was that really a US versus China though, I mean,

0:38:38.640 --> 0:38:40.399
<v Speaker 1>I know there were a lot of proxies, but it

0:38:40.480 --> 0:38:44.400
<v Speaker 1>wasn't like World War Two where Germany and Russia and

0:38:44.600 --> 0:38:48.879
<v Speaker 1>US and Japan were literally doing battles with each other. Well,

0:38:48.920 --> 0:38:53.160
<v Speaker 1>there was a coalition that the United Nations authorized, with

0:38:53.239 --> 0:38:57.200
<v Speaker 1>of course the United States contributing the most troops and weaponry,

0:38:57.440 --> 0:39:00.400
<v Speaker 1>and of course the North Korea had its own army,

0:39:00.640 --> 0:39:04.680
<v Speaker 1>but supported by overtly by China and with the USS

0:39:04.719 --> 0:39:10.279
<v Speaker 1>are definitely helping, although not sending troops. But through most

0:39:10.280 --> 0:39:13.960
<v Speaker 1>of history the great powers were always at each other's throats,

0:39:14.120 --> 0:39:17.319
<v Speaker 1>and then after World War Two that that kind of

0:39:17.760 --> 0:39:22.080
<v Speaker 1>um went out of style, as did wars between developed states,

0:39:22.200 --> 0:39:25.239
<v Speaker 1>that is, rich countries. We we think of war is

0:39:25.280 --> 0:39:27.759
<v Speaker 1>something that takes place in the poor, backward parts of

0:39:27.800 --> 0:39:29.600
<v Speaker 1>the world. But it used to be that it was

0:39:29.600 --> 0:39:32.160
<v Speaker 1>the rich countries that were constantly at war, and that

0:39:32.239 --> 0:39:36.520
<v Speaker 1>has gone out of style, and wars between countries in general.

0:39:36.600 --> 0:39:41.239
<v Speaker 1>Most wars now are civil wars, wars between interstate war

0:39:41.280 --> 0:39:45.520
<v Speaker 1>as opposed to interstate war, and UM. A number of things.

0:39:45.640 --> 0:39:48.759
<v Speaker 1>One is that the world has become more globalized. When

0:39:48.800 --> 0:39:52.400
<v Speaker 1>you when there's more trade, there is less of an

0:39:52.440 --> 0:39:54.600
<v Speaker 1>incentive to go to war. You don't. You don't kill

0:39:54.640 --> 0:39:58.960
<v Speaker 1>your customers because your supply chain or your supply chain exactly,

0:39:59.000 --> 0:40:01.560
<v Speaker 1>you don't. It's cheaper to buy things than to steal

0:40:01.600 --> 0:40:04.360
<v Speaker 1>them than you don't. Uh, You're you're less likely to

0:40:04.640 --> 0:40:08.560
<v Speaker 1>plunder and invade. There's been with the United Nations, there

0:40:08.560 --> 0:40:12.680
<v Speaker 1>has been a norm that borders are pretty much grandfathered in,

0:40:12.920 --> 0:40:15.680
<v Speaker 1>So you don't push borders around by force. You don't

0:40:15.920 --> 0:40:20.320
<v Speaker 1>swallow states that states are are now considered to be immortal.

0:40:20.480 --> 0:40:22.960
<v Speaker 1>They can break apart, but they can't be swallowed by

0:40:23.000 --> 0:40:27.840
<v Speaker 1>their neighbors. Uh. There is more democracy, and on average,

0:40:27.880 --> 0:40:30.279
<v Speaker 1>democracies are a little bit less likely to wage war,

0:40:30.320 --> 0:40:33.160
<v Speaker 1>at least on each other. And I think there's more

0:40:33.320 --> 0:40:35.840
<v Speaker 1>of a respect for human life. The idea that you

0:40:35.880 --> 0:40:38.640
<v Speaker 1>should die for your country, that it's glorious and sweet

0:40:38.680 --> 0:40:41.839
<v Speaker 1>and the best thing that you could do. And conversely,

0:40:41.880 --> 0:40:46.319
<v Speaker 1>that leaders can sacrifice millions of their own young men

0:40:46.600 --> 0:40:50.319
<v Speaker 1>for the glory of the empire is uh less an

0:40:50.320 --> 0:40:52.880
<v Speaker 1>operation now than it used to be. So before I

0:40:52.920 --> 0:40:55.799
<v Speaker 1>get to my favorite questions, I would be remiss if

0:40:55.800 --> 0:41:00.719
<v Speaker 1>I didn't ask about the debate over gene editing. If

0:41:00.960 --> 0:41:04.440
<v Speaker 1>people not familiar with Crisper. There's been a huge number

0:41:04.440 --> 0:41:08.640
<v Speaker 1>of articles, most recently in Wired magazine, describing how this

0:41:08.719 --> 0:41:13.359
<v Speaker 1>has made what was once time consuming, complex and expensive,

0:41:14.280 --> 0:41:19.160
<v Speaker 1>very inexpensive and relatively easy to do. What is the

0:41:19.239 --> 0:41:24.600
<v Speaker 1>advances in biotech say about current morality and why are

0:41:24.640 --> 0:41:28.120
<v Speaker 1>some people on one side or the other of that debate?

0:41:28.600 --> 0:41:32.040
<v Speaker 1>There's there's a widespread fear that first popped up when

0:41:32.120 --> 0:41:35.480
<v Speaker 1>Dolly the Sheep was cloned in and it's been revived

0:41:35.520 --> 0:41:38.839
<v Speaker 1>now with the development of Crisper Cassinine making it easy

0:41:38.880 --> 0:41:41.680
<v Speaker 1>to edit genes that will be designing our own children

0:41:41.840 --> 0:41:44.680
<v Speaker 1>very soon. We'll we'll put in the gene for musical ability,

0:41:44.880 --> 0:41:48.480
<v Speaker 1>or athletic ability or high i Q. I think that's

0:41:48.600 --> 0:41:52.080
<v Speaker 1>very likely, unlikely. I think it is possible. That you

0:41:52.120 --> 0:41:57.120
<v Speaker 1>could edit out disease genes. But having looked at the

0:41:57.160 --> 0:42:00.480
<v Speaker 1>genetic basis of personality and intelligence, I can tell you

0:42:00.560 --> 0:42:03.359
<v Speaker 1>that there ain't no i Q gene. There are. There

0:42:03.360 --> 0:42:05.880
<v Speaker 1>may be a thousand genes, each one of which raises

0:42:06.160 --> 0:42:08.640
<v Speaker 1>or lowers your i Q by a tenth of a point,

0:42:09.280 --> 0:42:11.840
<v Speaker 1>but the single gene that's going to give you musical

0:42:11.880 --> 0:42:14.960
<v Speaker 1>talent or athletic ability just doesn't exist. That's just not

0:42:15.000 --> 0:42:17.400
<v Speaker 1>the way genes work. There is a genetic basis to

0:42:17.520 --> 0:42:22.240
<v Speaker 1>talent and personality, but seems to be distributed across hundreds

0:42:22.320 --> 0:42:24.960
<v Speaker 1>or thousands of genes, each with a tiny effect, many

0:42:25.000 --> 0:42:28.279
<v Speaker 1>of which may have side effects. That is, there may

0:42:28.320 --> 0:42:32.440
<v Speaker 1>be a gene that increases your um likelihood of being smart,

0:42:32.520 --> 0:42:35.640
<v Speaker 1>but also slightly increases your rate of having bipolar disorder

0:42:36.719 --> 0:42:41.000
<v Speaker 1>or of some kind of degenerative disease. So I don't

0:42:41.040 --> 0:42:44.959
<v Speaker 1>see parents taking the chance with their children at any

0:42:45.000 --> 0:42:48.560
<v Speaker 1>time soon of mucking around with the with the embryo

0:42:48.840 --> 0:42:51.439
<v Speaker 1>by putting in a few genes, each of which might

0:42:51.560 --> 0:42:55.000
<v Speaker 1>increase the i Q by a tiny fraction of a point,

0:42:55.080 --> 0:42:59.000
<v Speaker 1>but might also introduce some some risks. So I'm glad

0:42:59.040 --> 0:43:02.080
<v Speaker 1>I brought that up because us. I've read some of

0:43:02.120 --> 0:43:04.760
<v Speaker 1>the pieces you've written on that and thought it was interesting.

0:43:04.880 --> 0:43:07.160
<v Speaker 1>Let me get to my I know I only have

0:43:07.200 --> 0:43:09.080
<v Speaker 1>you for another ten minutes or so, so let me

0:43:09.120 --> 0:43:12.759
<v Speaker 1>get to some of my favorite questions I asked all

0:43:12.840 --> 0:43:17.239
<v Speaker 1>my guests. So your background is really kind of interesting.

0:43:17.360 --> 0:43:20.480
<v Speaker 1>Did you know you always wanted to be a professor?

0:43:20.520 --> 0:43:23.360
<v Speaker 1>Did you always want to go into teaching? I certainly

0:43:23.440 --> 0:43:26.600
<v Speaker 1>enjoyed teaching from the time I was in uh in college.

0:43:26.680 --> 0:43:29.600
<v Speaker 1>I put myself through college by tutoring high school students

0:43:29.600 --> 0:43:32.920
<v Speaker 1>in math and science. Uh For a while, I thought, you,

0:43:33.000 --> 0:43:34.960
<v Speaker 1>maybe I'd would be fun to be a high school

0:43:34.960 --> 0:43:41.800
<v Speaker 1>math teacher, but I UH my mother, among others, convinced

0:43:41.800 --> 0:43:45.120
<v Speaker 1>me that university was really a place for me. That

0:43:46.000 --> 0:43:50.200
<v Speaker 1>adding to knowledge as well as transmitting knowledge was seemed

0:43:50.200 --> 0:43:54.240
<v Speaker 1>to be what I enjoyed doing. Nicely done, rose Um.

0:43:54.480 --> 0:43:57.680
<v Speaker 1>Next question, early mentors. Who were some of the people

0:43:57.760 --> 0:44:03.200
<v Speaker 1>who uh um entered you and gave you intellectual direction

0:44:04.440 --> 0:44:08.280
<v Speaker 1>As an undergraduate, I was a student at McGill University

0:44:08.360 --> 0:44:10.719
<v Speaker 1>and was in the psychology department there, and I worked

0:44:10.719 --> 0:44:13.760
<v Speaker 1>in a lab of a cognitive psychologist named Albert Bregman.

0:44:13.800 --> 0:44:17.520
<v Speaker 1>Who studied auditory pattern perception, how we the brain makes

0:44:17.560 --> 0:44:21.560
<v Speaker 1>sense of the world of sound. In university, one of

0:44:21.600 --> 0:44:25.239
<v Speaker 1>my advisors was Roger Brown, the great social psychologist and

0:44:25.400 --> 0:44:28.360
<v Speaker 1>founder of the study of child language acquisition in children

0:44:28.520 --> 0:44:31.320
<v Speaker 1>and a gifted writer, and I think I took lessons

0:44:31.360 --> 0:44:34.520
<v Speaker 1>from him on writing how to try to write stylishly.

0:44:35.239 --> 0:44:39.440
<v Speaker 1>Stephen Kostlin was my mentor in visual cognition. He's now

0:44:39.520 --> 0:44:44.640
<v Speaker 1>the academic dean of Minerva University, a startup university based

0:44:44.640 --> 0:44:50.719
<v Speaker 1>in San Francisco. Interesting is interesting group, and it seems, um,

0:44:50.800 --> 0:44:54.759
<v Speaker 1>you took something from each of those folks and took

0:44:55.040 --> 0:44:57.760
<v Speaker 1>one more is a Joan Bresnan, who is a linguist

0:44:57.880 --> 0:44:59.560
<v Speaker 1>at m I T. At the time she was a

0:44:59.600 --> 0:45:03.399
<v Speaker 1>student of Noam Chomskys. She was my post doctoral advisor. Ah,

0:45:03.440 --> 0:45:06.520
<v Speaker 1>there you go. That that's quite a quite a list.

0:45:06.760 --> 0:45:13.280
<v Speaker 1>You referenced Chomsky quite frequently in many of the books, obviously, Um,

0:45:13.360 --> 0:45:18.000
<v Speaker 1>he is a leader in this field. Uh. My next

0:45:18.080 --> 0:45:21.560
<v Speaker 1>question is what are some of your favorite books, whether

0:45:21.600 --> 0:45:25.560
<v Speaker 1>it relates to UH language and and linguistics or or

0:45:25.600 --> 0:45:28.799
<v Speaker 1>anything else. Noam Chomsky was my colleague a M I

0:45:28.800 --> 0:45:30.799
<v Speaker 1>T for twenty one years. And he was in a

0:45:30.840 --> 0:45:33.360
<v Speaker 1>different department, but he was certainly an influence from the

0:45:33.360 --> 0:45:36.160
<v Speaker 1>time that I was an undergraduate, particularly his books in

0:45:36.160 --> 0:45:40.040
<v Speaker 1>in linguistics. Language in Mind was a book that I

0:45:40.080 --> 0:45:43.080
<v Speaker 1>read as an undergraduate. I don't certainly don't share his politics,

0:45:43.280 --> 0:45:46.520
<v Speaker 1>but uh and I nor do I subscribe to his

0:45:46.600 --> 0:45:50.399
<v Speaker 1>particular theory of how language works. But he broke open

0:45:50.480 --> 0:45:54.160
<v Speaker 1>the field of language and really deserves credit for the

0:45:54.200 --> 0:45:57.759
<v Speaker 1>modern understanding of language. Any other books stand out as

0:45:57.960 --> 0:46:03.839
<v Speaker 1>whether it's fiction non fixed in related Uh, Well, I'm

0:46:03.880 --> 0:46:06.759
<v Speaker 1>married to a novelist, Rebecca Goldstein, and her book The

0:46:06.760 --> 0:46:09.640
<v Speaker 1>Mind Body Problem I read many years before I met her.

0:46:09.800 --> 0:46:13.520
<v Speaker 1>They really remember that old ad? The guy Victor Kayam

0:46:13.600 --> 0:46:15.759
<v Speaker 1>and got a Shavery said, I liked it, so what

0:46:15.840 --> 0:46:18.520
<v Speaker 1>the company bought the company? Well, I liked the novelists

0:46:18.560 --> 0:46:22.600
<v Speaker 1>so much that I married her. That that's very very funny. Um, So,

0:46:22.880 --> 0:46:27.920
<v Speaker 1>since you really started in psycholinguistics and and visual cognition,

0:46:28.440 --> 0:46:30.560
<v Speaker 1>what are some of the major changes that have taken

0:46:30.600 --> 0:46:33.960
<v Speaker 1>place in that industry or that field of study? I

0:46:34.000 --> 0:46:37.760
<v Speaker 1>should really call it, certainly the rise of neuroimaging. Functional

0:46:37.840 --> 0:46:42.960
<v Speaker 1>magnetic resonance imaging was revolutionized the field, being able to

0:46:43.000 --> 0:46:45.719
<v Speaker 1>see what part of the brain lights up in response

0:46:45.760 --> 0:46:52.359
<v Speaker 1>to different stimulus, different processes. Is that is that specifically

0:46:53.080 --> 0:46:55.839
<v Speaker 1>what you're referring to exactly, yeah, and that that has

0:46:55.880 --> 0:46:59.720
<v Speaker 1>been the single biggest change, And how does that manifest

0:46:59.800 --> 0:47:02.920
<v Speaker 1>this often in the study of language, well, you can

0:47:02.960 --> 0:47:07.040
<v Speaker 1>see how words are processed in the brain. UM. You

0:47:07.080 --> 0:47:12.000
<v Speaker 1>can see how um grammatical processing is implemented. That is,

0:47:12.840 --> 0:47:15.280
<v Speaker 1>by and again by grammatical processing, I don't mean rules

0:47:15.280 --> 0:47:18.799
<v Speaker 1>like avoiding dangling participles. I mean just ordering words in

0:47:18.840 --> 0:47:20.960
<v Speaker 1>a way that makes sense what we do every time

0:47:20.960 --> 0:47:23.920
<v Speaker 1>we open our mouths and produce a sentence. And you

0:47:23.960 --> 0:47:28.160
<v Speaker 1>can see also the pattern of information flow from one

0:47:28.160 --> 0:47:30.200
<v Speaker 1>part of the brain to another, because it's not as

0:47:30.200 --> 0:47:33.680
<v Speaker 1>if one blob of the brain is responsible for all

0:47:33.719 --> 0:47:38.560
<v Speaker 1>the language there is. You have to coordinate your understanding

0:47:38.560 --> 0:47:41.640
<v Speaker 1>of what words mean, your knowledge of in English syntax,

0:47:41.880 --> 0:47:45.440
<v Speaker 1>the control of the muscles of your tongue. UH. In conversation,

0:47:45.520 --> 0:47:47.719
<v Speaker 1>you go back and forth between speaking and listening, So

0:47:47.760 --> 0:47:51.759
<v Speaker 1>it also involves hooking up uh speech information coming in

0:47:51.800 --> 0:47:54.719
<v Speaker 1>from the ear. UH. You have to hold things in

0:47:54.800 --> 0:47:57.000
<v Speaker 1>memory as you start a sentence. You have to know

0:47:57.080 --> 0:48:00.200
<v Speaker 1>where you're going. So, a lot of different part of

0:48:00.239 --> 0:48:03.320
<v Speaker 1>the brain are involved in language, forming a kind of network,

0:48:03.640 --> 0:48:06.200
<v Speaker 1>and narrow imaging helps you see the different parts of the

0:48:06.160 --> 0:48:09.160
<v Speaker 1>the network and how they interact. I recall reading about

0:48:09.200 --> 0:48:13.759
<v Speaker 1>aphasiacs and other damages to physical damages to the brain.

0:48:14.239 --> 0:48:19.600
<v Speaker 1>How important is looking at damage, physical trauma and disease

0:48:19.840 --> 0:48:24.279
<v Speaker 1>too learning about language. Is that something that we did

0:48:24.440 --> 0:48:28.720
<v Speaker 1>decades ago and figured out, oh, this injury causes this result.

0:48:29.080 --> 0:48:31.000
<v Speaker 1>Have we moved beyond that or is that still a

0:48:31.080 --> 0:48:37.160
<v Speaker 1>key part of recognizing how these brain components developed. It

0:48:37.280 --> 0:48:39.040
<v Speaker 1>still is a key part. It used to be the

0:48:39.120 --> 0:48:41.279
<v Speaker 1>only way that you could understand language in the brain.

0:48:41.719 --> 0:48:44.560
<v Speaker 1>Um Now it's still important even in the era of

0:48:44.640 --> 0:48:47.480
<v Speaker 1>neuro imaging, because your imaging tells you what is active

0:48:47.880 --> 0:48:50.759
<v Speaker 1>when you are engaged in a task, but it doesn't

0:48:50.760 --> 0:48:53.680
<v Speaker 1>tell you what's necessary for all you know, it could

0:48:53.680 --> 0:48:55.960
<v Speaker 1>be like the lights that flash on a on a computer,

0:48:56.200 --> 0:48:58.560
<v Speaker 1>that you turn off the lights, the computer still does

0:48:58.600 --> 0:49:00.720
<v Speaker 1>its thing. It's kind of a spell low for effect,

0:49:00.920 --> 0:49:03.360
<v Speaker 1>and you never know just from the fact that blood

0:49:03.440 --> 0:49:05.680
<v Speaker 1>is going to a particular area of the brain whether

0:49:06.160 --> 0:49:09.360
<v Speaker 1>actually at part of the brain is necessary for the

0:49:09.440 --> 0:49:12.040
<v Speaker 1>person to do what they're doing. With brain damage, you're

0:49:12.080 --> 0:49:15.560
<v Speaker 1>removing a component and or nature is removing a component,

0:49:15.719 --> 0:49:17.520
<v Speaker 1>and you're seeing what they can no longer do. So

0:49:17.560 --> 0:49:20.960
<v Speaker 1>it's still a supplementary form of information and an important one.

0:49:21.280 --> 0:49:24.280
<v Speaker 1>So you work with a lot of college kids, people

0:49:24.280 --> 0:49:27.360
<v Speaker 1>who are just starting out their career. When a millennial

0:49:27.480 --> 0:49:31.320
<v Speaker 1>or recent graduate comes to you and says, I'm thinking

0:49:31.400 --> 0:49:35.520
<v Speaker 1>about a career in linguistics and visual cognition and in

0:49:35.640 --> 0:49:39.279
<v Speaker 1>any of the subsectors of psychology that you focus on,

0:49:39.840 --> 0:49:42.799
<v Speaker 1>what sort of advice do you give them? If you're

0:49:42.920 --> 0:49:46.000
<v Speaker 1>if you're passionate about something, and if you're if you

0:49:46.040 --> 0:49:49.640
<v Speaker 1>can see yourself throwing yourself into it, doing a lot

0:49:49.640 --> 0:49:52.560
<v Speaker 1>of work, then you should pursue it as a career,

0:49:53.040 --> 0:49:57.080
<v Speaker 1>even if the academic jug market is discouraging, which of

0:49:57.080 --> 0:50:00.760
<v Speaker 1>course it is um it has been at various times,

0:50:00.760 --> 0:50:02.439
<v Speaker 1>such as when I was a student, and I remember,

0:50:02.480 --> 0:50:05.040
<v Speaker 1>I remember the advice that I got from Ronald Melzack,

0:50:05.160 --> 0:50:08.360
<v Speaker 1>a professor of psychology at McGill, pioneer in the study

0:50:08.400 --> 0:50:12.600
<v Speaker 1>of pain. He said, look at the bright side. People die, people,

0:50:13.200 --> 0:50:16.480
<v Speaker 1>people retire, people get higher paying jobs. In industry. There's

0:50:16.480 --> 0:50:20.160
<v Speaker 1>always turnover, even if the market is contracting, if you

0:50:20.360 --> 0:50:22.520
<v Speaker 1>think you're good at it, if you're willing to to

0:50:23.280 --> 0:50:25.640
<v Speaker 1>dedicate yourself to it, if it excites you enough that

0:50:25.719 --> 0:50:28.239
<v Speaker 1>it doesn't feel like work but it feels like play,

0:50:28.320 --> 0:50:30.520
<v Speaker 1>there will always be openings. And so I tell students,

0:50:30.520 --> 0:50:33.960
<v Speaker 1>if they're really passionate about some intellectual topic, not to

0:50:34.160 --> 0:50:38.040
<v Speaker 1>just automatically go into law or finance or consulting because

0:50:38.080 --> 0:50:40.399
<v Speaker 1>that's the easy path, but that it really is still

0:50:40.400 --> 0:50:43.000
<v Speaker 1>possible to make a career in what you what you love.

0:50:44.200 --> 0:50:47.120
<v Speaker 1>And our our last question is what is it that

0:50:47.160 --> 0:50:51.760
<v Speaker 1>you know about cognition and linguistics today that you wish

0:50:51.760 --> 0:50:56.760
<v Speaker 1>you knew when you started thirty years ago? Oh? Well

0:50:56.760 --> 0:51:02.520
<v Speaker 1>that UM, I think that any cognitive or psychological trait

0:51:02.640 --> 0:51:06.720
<v Speaker 1>both has a heritable basis but is distributed over hundreds

0:51:06.760 --> 0:51:08.560
<v Speaker 1>or thousands of genes. That there is not going to

0:51:08.600 --> 0:51:13.239
<v Speaker 1>be a gene for x UM, That that there's a

0:51:13.280 --> 0:51:16.040
<v Speaker 1>lot of information that can come out of looking at

0:51:16.560 --> 0:51:20.960
<v Speaker 1>large data sets. That you're understanding of a subject is

0:51:21.000 --> 0:51:24.520
<v Speaker 1>only as good as the data that you can examine,

0:51:24.600 --> 0:51:28.640
<v Speaker 1>and that to understand something you've got to um look

0:51:28.960 --> 0:51:30.799
<v Speaker 1>at as large a set of data as you can

0:51:30.840 --> 0:51:34.919
<v Speaker 1>find Professor Panker, thank you so much for being so

0:51:35.040 --> 0:51:38.799
<v Speaker 1>generous with your time that this has been just absolutely fascinating.

0:51:39.480 --> 0:51:43.000
<v Speaker 1>If you enjoy this conversation UH, and others like this,

0:51:43.440 --> 0:51:45.400
<v Speaker 1>be sure and look up an inch or down an

0:51:45.440 --> 0:51:48.160
<v Speaker 1>inch at any of the other ninety two or so

0:51:48.239 --> 0:51:52.200
<v Speaker 1>such conversations we've had over the past two years. Be

0:51:52.360 --> 0:51:55.320
<v Speaker 1>sure to check out my daily column. It used to

0:51:55.360 --> 0:51:58.360
<v Speaker 1>be Bloomberg View dot com, but I am now seeing

0:51:58.400 --> 0:52:01.640
<v Speaker 1>that it is Bloomberg dot com. You can follow me

0:52:01.680 --> 0:52:05.600
<v Speaker 1>on Twitter at rid Halts Um. I would be remiss

0:52:05.640 --> 0:52:09.959
<v Speaker 1>if I did not think Uh, Taylor Riggs for being

0:52:09.960 --> 0:52:13.839
<v Speaker 1>our booker, Charlie Volmer for being our producer engineer, and

0:52:13.920 --> 0:52:18.120
<v Speaker 1>Michael Batnick, head of research. I'm Barry Ri Halts. You're

0:52:18.200 --> 0:52:21.440
<v Speaker 1>listening or you've been listening to Masters in Business on

0:52:21.520 --> 0:52:26.319
<v Speaker 1>Bloomberg Radio. Look Ahead, Imagine more, gain insight for your

0:52:26.360 --> 0:52:30.440
<v Speaker 1>industry with forward thinking advice from the professionals at Cone Resnick.

0:52:31.000 --> 0:52:33.960
<v Speaker 1>Is your business ready to break through? Find out more

0:52:34.040 --> 0:52:36.799
<v Speaker 1>at Cone Resnick dot com slash Breakthrough