WEBVTT - Do Superstar Athletes Have Superior Brains?

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<v Speaker 1>Guess what, mango, what's that? Well, so you remember a

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<v Speaker 1>couple of years after we got out of school and

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<v Speaker 1>the book Moneyball came out, and we were both fascinated

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<v Speaker 1>by the premise. The basic idea was that the way

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<v Speaker 1>so called experts were thinking about evaluating player performance was

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<v Speaker 1>you know, seriously flawed and certainly very subjective at the least.

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<v Speaker 1>And and I mean this wasn't just commentators and players.

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<v Speaker 1>I mean this was scouts, coaches, nearly everyone. And that

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<v Speaker 1>is until a few clubs, and especially the Oakland a

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<v Speaker 1>started taking a much more analytical approach to how teams

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<v Speaker 1>should be assembled, as they started looking at stats that

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<v Speaker 1>had really kind of been ignored before or at least

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<v Speaker 1>had taken a back seat, so things like on base

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<v Speaker 1>percentage instead of batting average. Yeah, it was super interesting.

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<v Speaker 1>And if I'm remembering correctly, like in those years that

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<v Speaker 1>the A's made it to the playoffs, they were actually

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<v Speaker 1>spending far less than half of what the Yankees were

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<v Speaker 1>spending on their entire club. It really was incredible and

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<v Speaker 1>just super interesting to see how quickly that much more

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<v Speaker 1>analytical approach made its way into other sports like basketball. Yeah,

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<v Speaker 1>it was well, now there's a new field that looks

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<v Speaker 1>like it could significantly change sports again, at least according

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<v Speaker 1>to the author of a new book called The Performance Cortex,

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<v Speaker 1>how neuroscience is redefining athletic genius. And today we're lucky

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<v Speaker 1>enough to be joined by the author of that book,

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<v Speaker 1>Zach Sewan Brunn. He'll talk to us about why brains

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<v Speaker 1>of certain great athletes like Steph Curry and Serena Williams

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<v Speaker 1>and Tom Brady are just so different. Because while they're

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<v Speaker 1>obviously an incredible shape and have spent countless hours working

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<v Speaker 1>on their craft, we know there's more to it than that.

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<v Speaker 1>How does a great hitter master the timing of drilling

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<v Speaker 1>a nine fastball? How did great shooters manage to make

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<v Speaker 1>half of their three pointers? And how does a great

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<v Speaker 1>quarterback make such split second decisions with a bunch of

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<v Speaker 1>guys twice their size coming in for the kill. So

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<v Speaker 1>that's what we're talking about today. Let's dive in. Hey,

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<v Speaker 1>their podcast listeners, welcome to Part Time Genius. I'm Will

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<v Speaker 1>Pearson and as always I'm joined by my good friend

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<v Speaker 1>Manguesh Ticketer and on the other side of the soundproof

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<v Speaker 1>glass holding a tennis racket in one hand as he

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<v Speaker 1>handles the control panel, and the other that's our friend

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<v Speaker 1>and producer Tristan McNeil. Yeah, he's been watching Serena Williams

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<v Speaker 1>videos all morning, just trying to match her reaction time

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<v Speaker 1>on service. Then he's getting pretty good. Actually, it's impressive. Yeah,

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<v Speaker 1>it's time to sit down, Tristan. It's time to time

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<v Speaker 1>to get focused here. So all right, Mago. As we

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<v Speaker 1>mentioned at the top of the show, we're thrilled to

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<v Speaker 1>be joined by the author of a new book called

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<v Speaker 1>The Performance Cortex. How neuroscience is redefining athletic genius And

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<v Speaker 1>as the book says, it's not about the million dollar

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<v Speaker 1>arm anymore, It's about the million dollar brain. Zach Sean Bren,

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<v Speaker 1>Welcome to Part Time Genius. Thanks guys, thanks for having

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<v Speaker 1>me so Zach, I know you've mentioned that the inspiration

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<v Speaker 1>for this book came after your wife pointed you to

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<v Speaker 1>this article about two neuroscientists working in Major League Baseball.

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<v Speaker 1>Can you talk about what these guys were looking for

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<v Speaker 1>and how this all sent you down a rabbit hole

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<v Speaker 1>on this topic. Yeah, yeah, it was very serendipitous. Um,

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<v Speaker 1>you know, I had been loving through an alumni magazine

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<v Speaker 1>and and my wife had been with me, and she

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<v Speaker 1>noticed the small little blurb about these two Columbia University

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<v Speaker 1>neuroscientists that were, as you said, they were starting to

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<v Speaker 1>work in in with Major League Baseball kind of as

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<v Speaker 1>a consulting basis, and they were still finishing up their

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<v Speaker 1>their own neuroscience research at at Columbia. And you know,

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<v Speaker 1>I'm a sportswriter. I had heard a little bit about

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<v Speaker 1>brain gaming and cognitive training in sports, and obviously mindfulness

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<v Speaker 1>and things like sports psychologists have been around for a while,

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<v Speaker 1>but neuroscience seemed a little different to me, you know.

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<v Speaker 1>And they were using uh, neuroscience imaging technique called e g.

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<v Speaker 1>Electro and cephalogram to actually figurtively peel back to the

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<v Speaker 1>skull and see what underneath the helmets of these hitters

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<v Speaker 1>and how their brains are responding two pitches. Teams were

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<v Speaker 1>really interested in this information, not just for a training

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<v Speaker 1>purposes in terms of maybe getting hitters to improve their

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<v Speaker 1>decision making at swinging at fastballs or curveballs or sliders,

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<v Speaker 1>but also perhaps as a scouting method figuring out, you know, okay,

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<v Speaker 1>what might be a baseline for what the reaction time

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<v Speaker 1>of a major league or needs to be. You can

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<v Speaker 1>then kind of fit other prospects or or screen for

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<v Speaker 1>for future players based on that kind of baseline. And

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<v Speaker 1>so it really presented this kind of new frontier in analytics,

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<v Speaker 1>which is obviously a big topic because this was not

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<v Speaker 1>so much a performance training device but an analysis tool

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<v Speaker 1>that was that was very unique. It was interesting hearing

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<v Speaker 1>you talk about, you know, the two m VP front

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<v Speaker 1>runners in the American League last year. You've got jose

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<v Speaker 1>Al Tove, who is when I think, like five ft

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<v Speaker 1>six and maybe a hundred and sixty five pounds, and

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<v Speaker 1>then you've got Aaron Judge, who's well over six ft

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<v Speaker 1>six six ft seven or so two eighty two pounds,

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<v Speaker 1>and they're both great players. But if you look at

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<v Speaker 1>the two of them, you know, you you wouldn't know

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<v Speaker 1>exactly what makes the two of them great because they

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<v Speaker 1>look so different and obviously there is something different happening

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<v Speaker 1>in their brain. And it's just interesting to me that

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<v Speaker 1>this hasn't really been looked at before. Well, why do

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<v Speaker 1>you think this isn't something that's been written about or

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<v Speaker 1>or researched as much previously. Well, I mean, if you

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<v Speaker 1>remember Moneyball, if remember the movie money Ball, and you

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<v Speaker 1>remember the scouts talking of even back then about scouting

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<v Speaker 1>players based on the good face, right and and you

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<v Speaker 1>know what the guy was cancering where the guy had

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<v Speaker 1>a girlfriend and uh and that was going to predict

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<v Speaker 1>and I'll predict how they would turn out to be

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<v Speaker 1>a major league players. And I was kind of laughed

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<v Speaker 1>about in the movie. And some of that has changed

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<v Speaker 1>with still so much of scouting and analytics. In fact,

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<v Speaker 1>all of scouting an analytics to this point is all

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<v Speaker 1>post talc narratives that are put together after the guy

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<v Speaker 1>swings or you know, or a dozen't swing and takes

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<v Speaker 1>a walk, and now those stats are compiled from there,

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<v Speaker 1>so you know, these guys were doing something that was

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<v Speaker 1>obviously occurring before any pitch reached home plate um. And

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<v Speaker 1>I think you know what has taken some time for

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<v Speaker 1>for teams to wrap their head around about this kind

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<v Speaker 1>of technology is there's not quite enough data yet for

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<v Speaker 1>them to say whether or not it's it's you know,

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<v Speaker 1>useful to them. They they care about winning games. They

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<v Speaker 1>don't want to put their players um through a lot

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<v Speaker 1>of rigor. And you know these sorts of science, this

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<v Speaker 1>sorts of analysis, it takes time. You know, you have

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<v Speaker 1>to wear any e g. Cap for forty minutes clicking

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<v Speaker 1>on a laptop keyboard, and you know, it's not something

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<v Speaker 1>that players obviously want to spend a lot of time doing,

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<v Speaker 1>especially if they're not even convinced that this is going

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<v Speaker 1>to help them. You know, coming away from this and

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<v Speaker 1>spending time with with Jason and Jordan's, I have no

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<v Speaker 1>doubt that this type of technologies it's as it continues

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<v Speaker 1>to get easier and easier to use, it's going to

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<v Speaker 1>be more and more prevalent in in sports. Speaking of

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<v Speaker 1>a of a different Jordan, I was actually in high

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<v Speaker 1>school in the Birmingham area when Michael Jordan was playing

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<v Speaker 1>for the White Sox double A team the Birmingham Barons then,

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<v Speaker 1>and of course it was you know, a ton of

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<v Speaker 1>hype around him being there, and it was a lot

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<v Speaker 1>of fun to go see these games and you're talking

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<v Speaker 1>about one of the greatest athletes and one of the

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<v Speaker 1>greatest competitors of all time. But it never quite clicked,

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<v Speaker 1>you know, on the on the hitting front. And I

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<v Speaker 1>don't know what we all expected, but you know, it

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<v Speaker 1>was just interesting to see that it didn't quite come

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<v Speaker 1>together in that way. And so would you say this

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<v Speaker 1>probably did have something to do with you know, obviously

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<v Speaker 1>there had been a lack of training over so many years,

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<v Speaker 1>But at the same time, did he not quite have

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<v Speaker 1>that thing or whatever that brain factor is to to

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<v Speaker 1>have become the hitter he was hoping to be. Yeah,

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<v Speaker 1>that's that's exactly right. And I mean this story of

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<v Speaker 1>Michael Jordan as a baseball player has always been remembered,

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<v Speaker 1>as you kind of said, it's kind of an embarrassment

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<v Speaker 1>and a failure. And and I actually think that's really

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<v Speaker 1>not not the case, and and and probably not fair.

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<v Speaker 1>He certainly had the athleticism. He had he had the

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<v Speaker 1>tools physically to become a a superstar in baseball obviously.

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<v Speaker 1>I mean, he was the greatest afflete in the world.

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<v Speaker 1>He had the quick hands, he had the coordination of

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<v Speaker 1>his legs, and that's probably what enabled him to even

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<v Speaker 1>that two hundred at the double A level, which you know,

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<v Speaker 1>again that to me is incredible. Uh. And and that

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<v Speaker 1>should not be perceived as a failure but really more

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<v Speaker 1>of a marvel. But what he didn't have was what

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<v Speaker 1>Jason and Jordan are studying, that he didn't have the

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<v Speaker 1>decision making ability in his brain, the the regions of

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<v Speaker 1>his brain that are necessary for hitting. Through studies, we've

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<v Speaker 1>sort of gotten a bit of a clue into what

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<v Speaker 1>regions might be necessary for hitting. Those regions had not

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<v Speaker 1>been exercised in that way in in a dozen years,

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<v Speaker 1>and in that in that short amount of time that

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<v Speaker 1>one summer, they weren't going to be exercised enough for

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<v Speaker 1>him to uh for him to make the Major League. Well,

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<v Speaker 1>I always think the same thing, that is just stunning

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<v Speaker 1>that he was able to walk into a different sport

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<v Speaker 1>and compete even at that level. It's it's pretty incredible.

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<v Speaker 1>But could you talk a little more specifically about what

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<v Speaker 1>brain regions are crucial for baseball players. Motor studies are

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<v Speaker 1>just inherently difficult to do if you're not taking a

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<v Speaker 1>hitter and putting them into a batting cage. But they

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<v Speaker 1>do try and simulate what it's like to be hitting

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<v Speaker 1>a pitch, or at least responding to a pitch via

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<v Speaker 1>a video game simulation. And they were able to stick

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<v Speaker 1>several Columbia University baseball hitters into an m r I

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<v Speaker 1>and see what was responding in their brains as these

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<v Speaker 1>pitches were coming. And obviously compare those anomalousies, and they

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<v Speaker 1>found two brain regions in particular that were of interest

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<v Speaker 1>and that we're activating or their their their neurons were

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<v Speaker 1>responding in a way that was different than novices. And

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<v Speaker 1>the first was the supplementary motor area. This was particularly

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<v Speaker 1>responsive when the hitters were deciding not the swing. And

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<v Speaker 1>this made a lot of sense because in other studies

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<v Speaker 1>involving the supplementary motor area, that region is particularly active

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<v Speaker 1>in tasks where you have to inhibit your movement, such

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<v Speaker 1>as when you just might be watching something but you're

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<v Speaker 1>not you're not supposed to move. And so the fact

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<v Speaker 1>that these hitters when they're not swinging and their supplementary

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<v Speaker 1>motor area is lighting up, it's it told the researchers

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<v Speaker 1>that they're kind of hitters are kind of on a

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<v Speaker 1>hairpin trigger. You know, they don't have much time to react. Obviously,

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<v Speaker 1>they have four milliseconds, and if you want to break

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<v Speaker 1>it down, they actually have less than that. I mean,

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<v Speaker 1>it's it's half an eye blink. Yeah, it's incredible. And

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<v Speaker 1>so they have to be ready to swing, you know,

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<v Speaker 1>at at any moment. And so what is it that

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<v Speaker 1>might separate the good hitters from the not so good hitters,

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<v Speaker 1>and actually might not be their ability to swing, but

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<v Speaker 1>it might be their ability to hold off and not swing.

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<v Speaker 1>And so, um that where the supplementary motor area comes

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<v Speaker 1>into fla. When the hitters were responding two pitches and

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<v Speaker 1>we're we're swinging. The other area that that lit up

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<v Speaker 1>primarily was this place called the fusiform gyrus um, which

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<v Speaker 1>is part of the fusiform face area. It's involved with face.

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<v Speaker 1>It's it's been shown another studies to be heavily involved

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<v Speaker 1>with facial recognition. So when I am scanning a crowd,

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<v Speaker 1>I can immediately notice my my mother's face in that crowd,

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<v Speaker 1>you know, instantaneously, because I'm you know, I'm quote unquote

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<v Speaker 1>an expert in seeing her face right. And so it's

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<v Speaker 1>been shown in a lot of other studies on expertise,

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<v Speaker 1>whether it's a bird watchers or far enthusiasts or chess players,

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<v Speaker 1>that's the region that acts as the trigger to the

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<v Speaker 1>motor system to jump start in its emotion. Those were

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<v Speaker 1>primarily the two regions of interest that they found in hitters.

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<v Speaker 1>And I think intuitively it kind of makes some sense. Yeah,

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<v Speaker 1>And it sounds like you have some of those same

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<v Speaker 1>skills as well. I mean, if Alta can hit a

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<v Speaker 1>fastball and you're using that same region of the brain

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<v Speaker 1>to recognize your mom and a crowd, that's really impressive.

0:12:07.320 --> 0:12:10.800
<v Speaker 1>So congratulations on that. All right, well, I want to

0:12:10.840 --> 0:12:13.400
<v Speaker 1>talk about my favorite sport. But before we do that,

0:12:13.480 --> 0:12:29.400
<v Speaker 1>let's take a quick break. Welcome back to Part Time Genius.

0:12:29.440 --> 0:12:32.079
<v Speaker 1>We're talking about the new book, The Performance Cortex, how

0:12:32.120 --> 0:12:36.920
<v Speaker 1>neuroscience is redefining athletic genius. So Zach, I'm actually eager

0:12:36.920 --> 0:12:39.400
<v Speaker 1>to talk a little bit about Steph Curry because we're

0:12:39.440 --> 0:12:41.840
<v Speaker 1>getting towards the end of the basketball season here. It's

0:12:41.840 --> 0:12:44.320
<v Speaker 1>been an exciting one to watch. Hopefully he comes back

0:12:44.400 --> 0:12:47.240
<v Speaker 1>from his injury and we'll have a really exciting playoff

0:12:47.280 --> 0:12:50.040
<v Speaker 1>season to watch. But I do want to talk about

0:12:50.120 --> 0:12:51.839
<v Speaker 1>him a bit because, you know, you look at two

0:12:51.880 --> 0:12:54.080
<v Speaker 1>of the greatest basketball players on the planet. You've got

0:12:54.200 --> 0:12:57.800
<v Speaker 1>Lebron James, who's at six ft eight two fifty pounds,

0:12:57.800 --> 0:13:00.360
<v Speaker 1>and not to take anything away from his skill, but

0:13:00.679 --> 0:13:03.679
<v Speaker 1>he's kind of a superhuman build. And then and then

0:13:03.720 --> 0:13:05.840
<v Speaker 1>you take somebody like Steph Curry, and you know, if

0:13:05.840 --> 0:13:07.640
<v Speaker 1>you didn't know him, and he just walked into your

0:13:07.640 --> 0:13:11.120
<v Speaker 1>local pickup game, you wouldn't necessarily know that you were

0:13:11.120 --> 0:13:13.680
<v Speaker 1>in the presence of maybe the greatest basketball player in

0:13:13.720 --> 0:13:16.160
<v Speaker 1>the world until you saw him play, of course. And

0:13:16.200 --> 0:13:18.600
<v Speaker 1>so I think he's what six ft three, not even

0:13:18.640 --> 0:13:21.520
<v Speaker 1>two hundred pounds, So I'm curious, like what is going

0:13:21.559 --> 0:13:26.160
<v Speaker 1>on in Curry's brain that makes him so great? Yeah, yeah,

0:13:26.160 --> 0:13:28.720
<v Speaker 1>I mean it's a great question. I wish we knew, um,

0:13:29.559 --> 0:13:32.160
<v Speaker 1>because you know, obviously, you know, he he has yet

0:13:32.240 --> 0:13:35.280
<v Speaker 1>to avail himself of of of any neuroscience labs, and

0:13:35.520 --> 0:13:37.880
<v Speaker 1>I know that neuroscientists would love to get her hand

0:13:37.960 --> 0:13:40.080
<v Speaker 1>and get their hands on him, because you know, he

0:13:40.240 --> 0:13:44.000
<v Speaker 1>is a great example of this what we've been talking about,

0:13:44.040 --> 0:13:47.600
<v Speaker 1>and that is that you can't necessarily judge an athlete

0:13:47.600 --> 0:13:51.280
<v Speaker 1>purely on his on his physical attributes. You know, Steph

0:13:51.520 --> 0:13:55.920
<v Speaker 1>Curry coming out of college was considered too unathletic playing

0:13:55.960 --> 0:13:59.360
<v Speaker 1>the NBA by scouts, and he was he dropped down

0:13:59.360 --> 0:14:03.280
<v Speaker 1>and forwards because he was maybe too slow. They didn't

0:14:03.320 --> 0:14:06.480
<v Speaker 1>think he can defend and um, you know, and they

0:14:06.480 --> 0:14:08.240
<v Speaker 1>and they just were he was not big enough. He

0:14:08.480 --> 0:14:11.559
<v Speaker 1>did not look like Lebron James, who comes to mind

0:14:11.600 --> 0:14:13.800
<v Speaker 1>anytime you think about an NBA player, and yet he's

0:14:13.800 --> 0:14:16.800
<v Speaker 1>been able to rise above above the rest of the league.

0:14:17.040 --> 0:14:18.959
<v Speaker 1>And I think, you know, if you were to take

0:14:19.160 --> 0:14:23.840
<v Speaker 1>his his measurable still today and line them up with

0:14:24.560 --> 0:14:28.320
<v Speaker 1>two other NBA guards, you wouldn't be able to pick

0:14:28.440 --> 0:14:31.480
<v Speaker 1>him out of a lineup. As a sports fan, now,

0:14:31.560 --> 0:14:34.120
<v Speaker 1>I've been focused my my whole life on oh the

0:14:34.200 --> 0:14:38.320
<v Speaker 1>you know, the the speed, the agility, the wingspan of

0:14:38.320 --> 0:14:41.200
<v Speaker 1>of of especially of NBA prospects, you know as they're

0:14:41.200 --> 0:14:43.520
<v Speaker 1>coming out to all the scouts and analysts talk about

0:14:43.560 --> 0:14:47.400
<v Speaker 1>and those are certainly characteristics and factors that can contribute

0:14:47.680 --> 0:14:50.680
<v Speaker 1>the performance. Don't get me wrong, but but Steph Curry

0:14:50.680 --> 0:14:53.160
<v Speaker 1>is a great example of this idea that it's it's

0:14:53.200 --> 0:14:56.480
<v Speaker 1>it's not everything. I remember reading this thing about Steph

0:14:56.520 --> 0:15:00.720
<v Speaker 1>carry playing horse with his brother Set then is that Dell?

0:15:00.880 --> 0:15:02.920
<v Speaker 1>And that the games could go on for hours because

0:15:02.920 --> 0:15:09.760
<v Speaker 1>they were all such good shooters. So funny, But staying

0:15:09.840 --> 0:15:13.320
<v Speaker 1>with the basketball, I'm curious, um, you know, why is

0:15:13.320 --> 0:15:16.080
<v Speaker 1>it that we never see an NBA player get anywhere

0:15:16.080 --> 0:15:19.440
<v Speaker 1>to like a percent of making their free throws. It's

0:15:19.480 --> 0:15:22.840
<v Speaker 1>called the charity stripe and and all that, like well,

0:15:22.880 --> 0:15:26.320
<v Speaker 1>what is it about the muscle movements that that that

0:15:26.400 --> 0:15:29.040
<v Speaker 1>makes this such a difficult task? Yeah, right, It always

0:15:29.040 --> 0:15:31.400
<v Speaker 1>frustrates me, right that you know, these guys practice it

0:15:31.520 --> 0:15:34.040
<v Speaker 1>so much and and uh, and yet they they're still

0:15:34.120 --> 0:15:36.680
<v Speaker 1>unable to make a hundred, not even really get close.

0:15:36.800 --> 0:15:41.400
<v Speaker 1>I think the the all time leaders is somewhere around

0:15:41.440 --> 0:15:43.760
<v Speaker 1>or something. If you want to think about our our

0:15:43.800 --> 0:15:48.120
<v Speaker 1>nervous system, the connections between the brain and the musky glature,

0:15:48.280 --> 0:15:53.120
<v Speaker 1>as like telephone wires, um, the signals that get sent

0:15:53.680 --> 0:16:00.440
<v Speaker 1>throughout our body are inherently afflicted with some jittery no ways.

0:16:00.440 --> 0:16:03.560
<v Speaker 1>What it's called. It's called neuromotor noise. This is inherent

0:16:03.680 --> 0:16:08.880
<v Speaker 1>to our system. It's just the biological reality. Um, everybody,

0:16:08.960 --> 0:16:12.280
<v Speaker 1>everybody has it. And it's just a function of our

0:16:12.320 --> 0:16:16.520
<v Speaker 1>systems not being perfect. You know, we're human, right. You

0:16:16.600 --> 0:16:20.560
<v Speaker 1>can't make two of the same, exact, precise movements, as

0:16:20.840 --> 0:16:23.480
<v Speaker 1>as much as you want to try, Um, you're not

0:16:23.520 --> 0:16:26.440
<v Speaker 1>gonna make two movements of the same Nikolai Burnstein called

0:16:26.440 --> 0:16:33.000
<v Speaker 1>this repetition. Without repetition, you can repeat movements that functionally

0:16:33.200 --> 0:16:36.040
<v Speaker 1>look the same, such as swinging an axe and chopping

0:16:36.040 --> 0:16:38.040
<v Speaker 1>a piece of wood. At all. You know, it looks

0:16:38.080 --> 0:16:40.800
<v Speaker 1>the same and you will still hit the acts and

0:16:40.840 --> 0:16:44.160
<v Speaker 1>the same mark, but the movement to actually get to

0:16:44.240 --> 0:16:47.760
<v Speaker 1>that point will change. Uh. And and that's that is

0:16:47.800 --> 0:16:51.760
<v Speaker 1>a function of the noisiness of our system. And it's

0:16:51.800 --> 0:16:54.360
<v Speaker 1>the reason we have the game of darts. Right if

0:16:54.400 --> 0:16:57.240
<v Speaker 1>if if we were if we were all moving and

0:16:57.360 --> 0:16:59.760
<v Speaker 1>we had no noise and we move perfectly, we wouldn't

0:16:59.800 --> 0:17:02.880
<v Speaker 1>have the competition our darts because every one of our

0:17:02.920 --> 0:17:05.400
<v Speaker 1>movements would just be be the same and be able

0:17:05.440 --> 0:17:08.400
<v Speaker 1>to throw the dark in the same spot. And so

0:17:08.800 --> 0:17:11.439
<v Speaker 1>you know, we can create robots that move without noise,

0:17:11.520 --> 0:17:15.280
<v Speaker 1>but but not ourselves. We we have this um innately

0:17:15.320 --> 0:17:19.119
<v Speaker 1>in our systems. And uh, it's a it's you know,

0:17:19.160 --> 0:17:21.680
<v Speaker 1>it's it's the reason that these NBA guys, no matter

0:17:21.680 --> 0:17:25.440
<v Speaker 1>how much they practice um you know, they they will

0:17:25.680 --> 0:17:28.320
<v Speaker 1>they're going to have different movements on on different nights,

0:17:28.480 --> 0:17:31.359
<v Speaker 1>and their free throws as a results are going to change.

0:17:31.520 --> 0:17:35.159
<v Speaker 1>Maybe one day, you know, it'll it'll happen because somebody

0:17:35.840 --> 0:17:38.480
<v Speaker 1>will have a less less noisy system than the rest

0:17:38.520 --> 0:17:41.560
<v Speaker 1>of us. But to this point it hasn't happened. Wow,

0:17:41.600 --> 0:17:43.720
<v Speaker 1>that's uh, that's fascinating. To think about it. I never

0:17:43.720 --> 0:17:45.560
<v Speaker 1>thought about it that way. I will say when shock

0:17:45.680 --> 0:17:48.520
<v Speaker 1>shot free throws, it did pretty much always look like

0:17:48.560 --> 0:17:52.320
<v Speaker 1>the same horrible line drive form. But but I guess

0:17:52.400 --> 0:17:55.359
<v Speaker 1>even with Shack and it wasn't you know, moving to

0:17:55.440 --> 0:17:58.720
<v Speaker 1>a different sport, you talk about tennis stars as being

0:17:59.480 --> 0:18:04.040
<v Speaker 1>math gen uses. So so why do you say that? Yeah, well, yeah,

0:18:04.080 --> 0:18:08.679
<v Speaker 1>it sounds a little strange. You know, tennis tennis in particular,

0:18:09.040 --> 0:18:12.159
<v Speaker 1>when you were turning a serve in times incredibly quickly,

0:18:12.160 --> 0:18:14.879
<v Speaker 1>and you're not just swinging at a at a ball

0:18:14.960 --> 0:18:17.639
<v Speaker 1>that's coming in, you know, straight at you. You're also

0:18:17.640 --> 0:18:20.040
<v Speaker 1>anticipating where this ball is going to have to bounce.

0:18:20.280 --> 0:18:22.520
<v Speaker 1>You're anticipating what kind of bouts you're going to receive.

0:18:22.960 --> 0:18:26.840
<v Speaker 1>And the more experience you have, and that's in that situation,

0:18:27.680 --> 0:18:31.240
<v Speaker 1>the more accurate your probability will be. So Roger FEDERI,

0:18:31.280 --> 0:18:34.160
<v Speaker 1>he's got a lot of experience and therefore he can

0:18:34.240 --> 0:18:36.520
<v Speaker 1>he's going to be more accurate in in choosing the

0:18:36.560 --> 0:18:41.080
<v Speaker 1>correct response for each serve. You can effectively say that

0:18:41.080 --> 0:18:45.000
<v Speaker 1>that these these tennis experts are actually using math um

0:18:45.000 --> 0:18:47.560
<v Speaker 1>to to figure out where where the ball is gonna

0:18:47.600 --> 0:18:50.520
<v Speaker 1>be come, which line, likely with my own perspective because

0:18:50.760 --> 0:18:53.639
<v Speaker 1>I was a mediocre tennis player and a mediocre math student.

0:18:53.760 --> 0:18:56.960
<v Speaker 1>So I think that that add it all, it all

0:18:57.000 --> 0:18:59.919
<v Speaker 1>makes perfect sense. Actually, there there there was one side

0:19:00.000 --> 0:19:02.040
<v Speaker 1>note to that I remember, and it makes more sense

0:19:02.040 --> 0:19:04.199
<v Speaker 1>now thinking about this article that I remember from our

0:19:04.240 --> 0:19:07.480
<v Speaker 1>Mental Flaws days, where a reader had asked the question,

0:19:07.920 --> 0:19:10.440
<v Speaker 1>you know, does it actually help a player or give

0:19:10.440 --> 0:19:12.800
<v Speaker 1>them an advantage when they grunt when they hit the

0:19:12.840 --> 0:19:15.640
<v Speaker 1>tennis ball? And you know, I guess the studies were

0:19:15.640 --> 0:19:20.040
<v Speaker 1>showing that that grunting actually does provide a slight advantage

0:19:20.080 --> 0:19:24.040
<v Speaker 1>because it kind of muffles the sound of the ball

0:19:24.160 --> 0:19:28.200
<v Speaker 1>hitting the racket, and it gives the opposing player maybe

0:19:28.240 --> 0:19:31.520
<v Speaker 1>slightly less time or slightly less information. You know, to

0:19:31.600 --> 0:19:34.440
<v Speaker 1>your point, Zach, that they are kind of using all

0:19:34.480 --> 0:19:38.280
<v Speaker 1>of these calculations, even unconsciously, as they hear a ball

0:19:38.400 --> 0:19:41.560
<v Speaker 1>hit a racket, to then decide and that millisecond, you

0:19:41.560 --> 0:19:44.280
<v Speaker 1>know where the ball may be going or how fast

0:19:44.320 --> 0:19:46.320
<v Speaker 1>it may be coming to them. So you know, the

0:19:46.320 --> 0:19:47.720
<v Speaker 1>next time we get out there, I think I'm probably

0:19:47.760 --> 0:19:49.400
<v Speaker 1>gonna scream a lot every time I hit the ball.

0:19:49.440 --> 0:19:52.000
<v Speaker 1>It's gonna be great. Well, I mean, what it comes

0:19:52.040 --> 0:19:57.120
<v Speaker 1>down to is our movement system, our motor system. It's

0:19:57.160 --> 0:19:59.760
<v Speaker 1>actually costs slow, you know. And and this, this is

0:20:00.000 --> 0:20:02.160
<v Speaker 1>one of the things that surprised me most is that,

0:20:02.359 --> 0:20:05.440
<v Speaker 1>you know, I kind of assumed that nervous signals, um,

0:20:05.800 --> 0:20:08.600
<v Speaker 1>you know, occur quickly, they happen quickly, but it actually,

0:20:08.880 --> 0:20:11.160
<v Speaker 1>you know, it's actually slower than than you would think.

0:20:11.440 --> 0:20:14.480
<v Speaker 1>It takes time. And so when you're talking about responding

0:20:14.560 --> 0:20:17.840
<v Speaker 1>to you know, a hundred and fifty mile an hour

0:20:18.040 --> 0:20:21.359
<v Speaker 1>serve with all the pressure and and in front of

0:20:21.359 --> 0:20:23.320
<v Speaker 1>in front of a stadium of a full of fans,

0:20:23.359 --> 0:20:26.000
<v Speaker 1>and trying to you know, obviously hit an accurate return.

0:20:26.040 --> 0:20:28.680
<v Speaker 1>You're not just trying to make contact. You have to respond,

0:20:28.760 --> 0:20:31.800
<v Speaker 1>you have to return it to the right spot. And so,

0:20:32.160 --> 0:20:36.399
<v Speaker 1>you know, all these things factor into the way that

0:20:36.400 --> 0:20:40.480
<v Speaker 1>our brain has to make predictions about what's about to unfold.

0:20:40.680 --> 0:20:43.520
<v Speaker 1>And this this happens all the time, and it especially

0:20:44.080 --> 0:20:47.879
<v Speaker 1>happens in athletes. And the more experience you have in

0:20:48.000 --> 0:20:51.560
<v Speaker 1>moving and responding to the tasks that you're shown, um,

0:20:51.840 --> 0:20:57.000
<v Speaker 1>the the stronger the link between perception and action might be.

0:20:57.280 --> 0:20:59.679
<v Speaker 1>I'll give you an example. There's an amazing study if

0:20:59.720 --> 0:21:04.680
<v Speaker 1>you're as ago at in Rome, involving a few professional

0:21:04.680 --> 0:21:06.720
<v Speaker 1>basketball players. I think they they gathered like six or

0:21:06.760 --> 0:21:10.119
<v Speaker 1>eight professional Italian basketball players and they had them watch

0:21:10.160 --> 0:21:14.400
<v Speaker 1>a clip of a sky shooting free throws, and they

0:21:14.440 --> 0:21:17.399
<v Speaker 1>stopped the clip just as the ball was about to

0:21:17.400 --> 0:21:20.760
<v Speaker 1>be released from the player's hands. They asked these subjects

0:21:20.760 --> 0:21:23.760
<v Speaker 1>that these professional players, they asked them whether that the

0:21:23.800 --> 0:21:27.040
<v Speaker 1>guy made the shot, and they found that the the

0:21:27.080 --> 0:21:32.119
<v Speaker 1>professional basketball players were far more accurate in predicting whether

0:21:32.160 --> 0:21:34.240
<v Speaker 1>the guy was going to make or miss the chop

0:21:34.600 --> 0:21:38.640
<v Speaker 1>than even coaches who were also shots clip and other experts,

0:21:38.640 --> 0:21:41.840
<v Speaker 1>you know, sportswriters and fans and so on, and so

0:21:41.920 --> 0:21:46.000
<v Speaker 1>what that told them is that being actively involved in

0:21:46.000 --> 0:21:48.840
<v Speaker 1>in your you know, whatever task you're trying to do,

0:21:49.320 --> 0:21:52.560
<v Speaker 1>moving in that way, it actually enhances that link between

0:21:52.840 --> 0:21:55.840
<v Speaker 1>your perceptual system and your motor system. You can essentially

0:21:56.000 --> 0:22:00.000
<v Speaker 1>feel what you're seeing or simulate the movement that you're

0:22:00.040 --> 0:22:04.040
<v Speaker 1>supposed to be doing in response what you're seeing. Really interesting,

0:22:04.080 --> 0:22:07.600
<v Speaker 1>and it speaks to the difference that these experts uh,

0:22:07.760 --> 0:22:11.280
<v Speaker 1>the differences that these experts have than the novices than

0:22:11.320 --> 0:22:13.600
<v Speaker 1>you or I sitting out there on the tennis courts

0:22:13.640 --> 0:22:16.160
<v Speaker 1>just kind of tennis courts, just kind of reading and reacting.

0:22:16.160 --> 0:22:20.080
<v Speaker 1>It's that's not what Federer is doing. I remember reading

0:22:20.080 --> 0:22:23.160
<v Speaker 1>this one thing about uh, Andre Agassi was saying that,

0:22:23.440 --> 0:22:26.919
<v Speaker 1>you know, almost like a goalie in on penalty shots,

0:22:27.240 --> 0:22:29.480
<v Speaker 1>for certain servers who are serving so fast, you just

0:22:29.520 --> 0:22:32.040
<v Speaker 1>have to pick a side, uh, you know, you'd either

0:22:32.880 --> 0:22:35.720
<v Speaker 1>sort of prep for fourhand or back end. And he

0:22:35.800 --> 0:22:38.520
<v Speaker 1>said that Boris Becker used to have a tell where

0:22:38.520 --> 0:22:40.840
<v Speaker 1>he would actually stick his tongue out to the left

0:22:40.920 --> 0:22:42.600
<v Speaker 1>or right side of his mouth as he was serving,

0:22:42.640 --> 0:22:44.560
<v Speaker 1>and you could tell kind of where the serve was going,

0:22:45.040 --> 0:22:48.040
<v Speaker 1>just which is kind of funny. Pretty great. Well, we've

0:22:48.080 --> 0:22:50.200
<v Speaker 1>got a few more questions for you, Zach, but before

0:22:50.200 --> 0:23:05.920
<v Speaker 1>we get to those, let's take a quick break. I

0:23:05.960 --> 0:23:09.040
<v Speaker 1>was reading recently about the Sixers who have implemented this

0:23:09.240 --> 0:23:12.040
<v Speaker 1>whole chef staff to make sure that their athletes are

0:23:12.040 --> 0:23:16.160
<v Speaker 1>eating absolutely appropriately. You you see things about like Moneyball

0:23:16.240 --> 0:23:20.159
<v Speaker 1>and how how teams are sort of evaluating different things

0:23:20.320 --> 0:23:23.720
<v Speaker 1>to to recruit players, new metrics and stuff, and I'm

0:23:23.760 --> 0:23:25.879
<v Speaker 1>sort of curious, like, how long will it be before

0:23:26.000 --> 0:23:29.960
<v Speaker 1>teams start employing neuroscientists on on staff and and which

0:23:30.040 --> 0:23:32.760
<v Speaker 1>sports do you see relying most on these advancements in

0:23:32.800 --> 0:23:35.560
<v Speaker 1>the field. It's a good question. I mean, at this moment,

0:23:36.000 --> 0:23:39.760
<v Speaker 1>almost every Major League baseball team has at least corresponded

0:23:40.359 --> 0:23:43.919
<v Speaker 1>with Decerebro. So the neuroscientists from Columbia that I that

0:23:43.960 --> 0:23:46.560
<v Speaker 1>I wrote about, so Serebra would tell you that baseball

0:23:46.600 --> 0:23:50.120
<v Speaker 1>is kind of the perfect fit for what they're doing

0:23:50.200 --> 0:23:56.439
<v Speaker 1>because it's a single interaction. Um, it's hitter verse picture

0:23:57.040 --> 0:23:59.600
<v Speaker 1>and it's swinger, don't swing, let's go or don't go,

0:24:00.119 --> 0:24:03.520
<v Speaker 1>And so being able to analyze that type of interaction

0:24:03.600 --> 0:24:06.439
<v Speaker 1>is a lot easier than being able to say what

0:24:06.560 --> 0:24:09.880
<v Speaker 1>Steph Curry is doing on a basketball court. Because he's

0:24:09.880 --> 0:24:13.080
<v Speaker 1>got four different teammates, he's got five different opponents, He's

0:24:13.119 --> 0:24:16.680
<v Speaker 1>moving in all different ways. It's a much more dynamic setting.

0:24:16.960 --> 0:24:19.840
<v Speaker 1>So yeah, I think sports maybe like tennis and baseball

0:24:20.000 --> 0:24:22.199
<v Speaker 1>kind of that go or no go seemed to be

0:24:22.240 --> 0:24:26.479
<v Speaker 1>a better fit for for where neurosciences. You know, there

0:24:26.520 --> 0:24:28.159
<v Speaker 1>was there was one more question that I wanted to

0:24:28.200 --> 0:24:30.040
<v Speaker 1>ask you before we let you go, and that has

0:24:30.080 --> 0:24:33.760
<v Speaker 1>to do with this idea of intelligent skin. And I

0:24:33.800 --> 0:24:36.480
<v Speaker 1>just thought this was fascinating. Whether we're talking about golf

0:24:36.600 --> 0:24:39.600
<v Speaker 1>or or tennis or some of these other sports. Can

0:24:39.600 --> 0:24:41.480
<v Speaker 1>you talk a little bit about this. It's something I'd

0:24:41.480 --> 0:24:45.240
<v Speaker 1>really never thought about before. Yeah, yeah, me neither. Um.

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<v Speaker 1>You know, our our our skin and our sense of

0:24:47.400 --> 0:24:52.439
<v Speaker 1>touch is a very under represented area of science. The

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<v Speaker 1>way that we kind of know that we're there's still

0:24:55.480 --> 0:25:00.360
<v Speaker 1>a lot more to learn is looking at robotics. Robot

0:25:00.440 --> 0:25:03.520
<v Speaker 1>You know, engineers and neuroscientists have spent a lot of

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<v Speaker 1>time trying to figure out how to get robots they'll

0:25:05.800 --> 0:25:09.680
<v Speaker 1>move like humans. We can get them to outthink humans. Um,

0:25:09.760 --> 0:25:11.280
<v Speaker 1>I just look at how they you know they do

0:25:11.359 --> 0:25:14.639
<v Speaker 1>on Jeopardy and in Chest and so on. But we

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<v Speaker 1>haven't yet really gotten any robot that can actively move

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<v Speaker 1>in a way that would have us be confused for

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<v Speaker 1>a human. And uh, you know, all you have to

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<v Speaker 1>do is YouTube robot opening doors and you'll see, you know,

0:25:27.280 --> 0:25:29.920
<v Speaker 1>how far off we are. But what they're actually missing

0:25:29.960 --> 0:25:31.879
<v Speaker 1>and what they think is the next step to that

0:25:31.960 --> 0:25:36.440
<v Speaker 1>realism of in robotics is the input that perception from

0:25:36.480 --> 0:25:39.520
<v Speaker 1>effectively the robot's skin until we Until we get there,

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<v Speaker 1>I think it'll be hard to get a robot to

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<v Speaker 1>to move like us, and I think it just tells

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<v Speaker 1>us a little bit more about how how much of

0:25:45.560 --> 0:25:48.240
<v Speaker 1>our our own skin is involved in in our movement.

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<v Speaker 1>It's been fascinating and it's really interesting to think about

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<v Speaker 1>how much this could change the way we think about

0:25:54.240 --> 0:25:57.920
<v Speaker 1>sports and the way we think about these superstar athletes

0:25:58.000 --> 0:26:00.960
<v Speaker 1>really as geniuses in their their own right. So the

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<v Speaker 1>book is called The Performance Cortex, How neuroscience is redefining

0:26:04.960 --> 0:26:07.920
<v Speaker 1>Athletic genius. But Zack, thanks so much for joining us today.

0:26:08.160 --> 0:26:25.080
<v Speaker 1>Thanks guys, really a lot of fun. Thanks again for listening.

0:26:25.200 --> 0:26:27.359
<v Speaker 1>Part Time Genius is a production of how stuff works

0:26:27.359 --> 0:26:29.959
<v Speaker 1>and wouldn't be possible without several brilliant people who do

0:26:30.000 --> 0:26:33.080
<v Speaker 1>the important things we couldn't even begin to understand. Tristan

0:26:33.160 --> 0:26:35.680
<v Speaker 1>McNeil does the editing thing. Noel Brown made the theme

0:26:35.720 --> 0:26:38.679
<v Speaker 1>song and does the mixy mixy sound thing. Jerry Rowland

0:26:38.720 --> 0:26:41.920
<v Speaker 1>does the exact producer thing. Gabeluesier is our lead researcher,

0:26:41.960 --> 0:26:44.960
<v Speaker 1>with support from the Research Army including Austin Thompson, Nolan

0:26:45.000 --> 0:26:47.280
<v Speaker 1>Brown and Lucas Adams and Eve Jeff Cook gets the

0:26:47.280 --> 0:26:49.480
<v Speaker 1>show to your ears. Good job, Eves. If you like

0:26:49.560 --> 0:26:51.359
<v Speaker 1>what you heard. We hope you'll subscribe, and if you

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<v Speaker 1>really really like what you've heard, maybe you could leave

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<v Speaker 1>a good review for us. Do we do? We forget

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<v Speaker 1>Jason Jason who take depict b