WEBVTT - Math, Music and Mayhem

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<v Speaker 1>Welcome to Stuff to Blow your Mind from how Stuff

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<v Speaker 1>Works dot com. Hey, welcome to Stuff to Blow your Mind.

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<v Speaker 1>My name is Robert Lamb, and I'm Julie Douglas. And

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<v Speaker 1>you know, Julie, neither of us are really math people.

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<v Speaker 1>It's like we don't do a lot of recreational math. Yeah,

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<v Speaker 1>and we know. I'm a math folk. I just started

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<v Speaker 1>to same math and I started to get sweaty palms. Yeah.

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<v Speaker 1>Um and uh, but but but but we both enjoy music,

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<v Speaker 1>different types of music, I think. I mean there's some crossover.

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<v Speaker 1>It's not you know, it's kind of like a ven

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<v Speaker 1>diagram I would imagined. But um, see there you go

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<v Speaker 1>with the math. Yeah goodness, yeah, goodness me because this

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<v Speaker 1>is exactly what we're talking about. Math and music, um,

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<v Speaker 1>kind of lining up with each other, um, describing each other.

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<v Speaker 1>And we end up with this this idea in our head,

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<v Speaker 1>especially uh, those of us who are not math people

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<v Speaker 1>and enjoy music but don't have musical training per se um.

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<v Speaker 1>We end up looking back at it where we see

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<v Speaker 1>mathematicians who are really good at music or musicians that

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<v Speaker 1>have mathematical background, and we start saying, WHOA, what's going

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<v Speaker 1>on here? This seems to be the case, right right,

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<v Speaker 1>And I think you made the great analogy yesterday, like, oh, actors,

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<v Speaker 1>yeah crazy, all actors are crazy. Right. It's like if

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<v Speaker 1>you if you don't have an acting background, you don't

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<v Speaker 1>know many actors, you're not crazy. You don't know many

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<v Speaker 1>crazy people. You see crazy actors, and it's easy to

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<v Speaker 1>make that generality that, wow, they must be All actors

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<v Speaker 1>must be crazy, and their craziness must make them great actors.

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<v Speaker 1>Or maybe their acting makes them great crazies. I don't know. Yeah, yeah,

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<v Speaker 1>it's the that's the dog wagon the tail there. Um.

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<v Speaker 1>So yeah, we're going to try to look at this

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<v Speaker 1>idea of math and music being intertwined in perhaps being

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<v Speaker 1>inherent and um, and we'll try to see if there

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<v Speaker 1>really is a correlation between mathematics and musicians. Yeah. Now,

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<v Speaker 1>just to start off, like some famous mathematicians and slash

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<v Speaker 1>musicians or famous musicianstead have mathematical background. Um. One one hand,

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<v Speaker 1>we have Einstein himself, who was a violinist. Yeah. Um,

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<v Speaker 1>Brian May of Queen was an astrophysicist, um, which I've

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<v Speaker 1>always found kind of interesting. I don't know if it

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<v Speaker 1>really I haven't listened to queen in a long time,

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<v Speaker 1>but I don't remember there being much astrophysics UM injected

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<v Speaker 1>into the song. Yeah, maybe it was all happening just

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<v Speaker 1>with the music, just with the guitars, you know, because

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<v Speaker 1>and he he has returned to this discipline. Yes, yeah, yeah, yes, yeah,

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<v Speaker 1>there have been some interesting articles about it in recent years. UM.

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<v Speaker 1>Then we have people like Dan Snaith a k a

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<v Speaker 1>Caribou who has a mathematics background, though I've seen interviews

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<v Speaker 1>where he's very dismissive of the idea that there's any

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<v Speaker 1>really connectivity between the two. I think it was like

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<v Speaker 1>a was it an interview on data transmission? I can't

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<v Speaker 1>remember me it was linked to on data transmission UM

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<v Speaker 1>that code out UK where someone asked him about in

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<v Speaker 1>Cariboo was like you know math, yeah, math, math, different things.

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<v Speaker 1>So it's kind of disappointing. You can imagine the the interviewers,

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<v Speaker 1>you know, kind of slumping down, you know when he

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<v Speaker 1>got that answer. But other ones are Garfuncle had a

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<v Speaker 1>master's degree in mathematics, which I was not aware of.

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<v Speaker 1>I wasn't. I was surprised by that one. Yeah, I mean,

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<v Speaker 1>certainly his hair seems to indicate some sort of like

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<v Speaker 1>science lab type situation. But but no, he and again

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<v Speaker 1>I can't think of any Garfuncle songs where where I

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<v Speaker 1>have listened to him and be like, wow, bright Eyes

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<v Speaker 1>is such a mathematical song, you know. And again maybe

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<v Speaker 1>I'm I'm missing the finer corners of his discography, but yeah, um.

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<v Speaker 1>And then another one that comes to mind, uh is

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<v Speaker 1>a chat by the name of Rupert Way, who DJ

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<v Speaker 1>is under the name dj Irk. Yeah, and I actually

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<v Speaker 1>interviewed him for the blogs a little while back, and uh,

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<v Speaker 1>he has like a PhD in uh, some kind of

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<v Speaker 1>type of mathematics that dynamic systems something. It kind of

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<v Speaker 1>it just goes right over my head when when he

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<v Speaker 1>told me what it was. But but yeah, And there're

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<v Speaker 1>just a few there. Do you have any that I'm

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<v Speaker 1>leaving off? No, No, that that sounds Um, those are

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<v Speaker 1>some of the big ones, I think. And I was

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<v Speaker 1>I was actually revisiting your interview with him, and he

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<v Speaker 1>was talking. You were asking him about the connection between

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<v Speaker 1>Mathew music and I think he was saying that he

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<v Speaker 1>doesn't it doesn't really help anymore than it does with

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<v Speaker 1>what he says, say around trip a trip around the supermarket.

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<v Speaker 1>I've obviously taken that out of context. Uh, but he

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<v Speaker 1>did say something about mental agility, good memory, good numerous

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<v Speaker 1>e and a lot of determination, he says, or what

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<v Speaker 1>really counts. And although these are math related I'm quoting him,

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<v Speaker 1>they are not math specific. There are lots of overriding

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<v Speaker 1>instinctive and emotional factors too, which I thought was interesting

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<v Speaker 1>because he's he's sort of saying, yeah, all of this helps,

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<v Speaker 1>but it does not make you a musician per se,

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<v Speaker 1>because there are some factors that you just can't that

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<v Speaker 1>don't fit into the mathematical model, so to speak. Right. Yeah,

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<v Speaker 1>his answer was far more insightful than caribous. Yeah, yeah, yeah,

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<v Speaker 1>he actually he went on to say some very interesting stuff. Actually,

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<v Speaker 1>So if you haven't checked out Robert's blog on that

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<v Speaker 1>with with dj Oric, should definitely check that out. Yeah yeah,

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<v Speaker 1>I'll throw the link up. But but yeah, you end

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<v Speaker 1>up in the in this this situation where the the

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<v Speaker 1>answer is kind of yeah, kind of yeah, but also

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<v Speaker 1>not really um and and there's no real firm answer

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<v Speaker 1>because I mean, when you break it down, UM, I

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<v Speaker 1>mean we we've discussed in the past, like mathematics, what

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<v Speaker 1>is it is the human invention that just is so

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<v Speaker 1>clever that it describes everything in the universe? Or is

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<v Speaker 1>it a discovery? Did we find the secret language of

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<v Speaker 1>the universe and we're so awesome because we found it? Again,

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<v Speaker 1>humans end up looking pretty awesome. Either way, you spend

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<v Speaker 1>that but if but but but either way, you're talking

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<v Speaker 1>about a system of numbers that can describe everything. So

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<v Speaker 1>it stands to reason that it would be able to

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<v Speaker 1>describe music, right, Right, And yes, so there are definitely

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<v Speaker 1>some similarities with that because you would ask the same

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<v Speaker 1>thing about music in a sense, right, it is music

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<v Speaker 1>something that we discovered is just sort of inherent in

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<v Speaker 1>in us. And then we've talked about even our fingers before, Right,

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<v Speaker 1>we've got five fingers on each hand, and how that's

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<v Speaker 1>determined our currency in the way that we count in

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<v Speaker 1>number systems, and same thing with music. It's it's determined

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<v Speaker 1>the way that we have, Uh, created scales, and we

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<v Speaker 1>created instruments. Yeah, like strings vibrated a certain frequency and

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<v Speaker 1>you can measure those mathematically. Sound waves can also be

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<v Speaker 1>described by mathematical equations. Uh. I mean it comes down

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<v Speaker 1>to like scientists of any discipline, they use mathematics to

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<v Speaker 1>describe the physical world. Changing physical world of movable opjects,

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<v Speaker 1>and they predict the outcome of physical process, so you

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<v Speaker 1>know there's gonna be some cross over there. But then again,

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<v Speaker 1>an equation is not going to be able to describ

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<v Speaker 1>have a piece of music, and uh, I mean there

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<v Speaker 1>are a certain mathematical well, well you can there are

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<v Speaker 1>equations that can describe some of the mathematical structures that

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<v Speaker 1>are inherent in music, but you're not going to be

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<v Speaker 1>able to like to say, um, yeah, I want to

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<v Speaker 1>listen to that. Um, you know that can concerto by

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<v Speaker 1>so and so, But I don't have time for the

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<v Speaker 1>full thing. Just send me the equation. Well, and it's

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<v Speaker 1>interesting too, because the each equation you could interpret in

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<v Speaker 1>a different way as a musician, right yeah. But I

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<v Speaker 1>mean so there's that's the part of it that's like, well, okay,

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<v Speaker 1>here's here's the precise language. Um that you know, and

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<v Speaker 1>again drawing parallels to math, Math has a universal precise language. Right.

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<v Speaker 1>But once you know, you give this equation of music

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<v Speaker 1>to someone, they might perform it in a completely different

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<v Speaker 1>way or take liberties with it that you wouldn't necessarily

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<v Speaker 1>see in math. But again again talking about similarities, Um,

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<v Speaker 1>both disciplines gravitate towards symmetry. Right. You see this in

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<v Speaker 1>music all the time. Um, of course there's there's cacophony, right,

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<v Speaker 1>Uh yeah, noise music and all that. I mean that's

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<v Speaker 1>the thing too. It's like music when you're talking about

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<v Speaker 1>like what is music? Yeah, there's some there are there

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<v Speaker 1>certain types of music that are very mathematical sounding, and

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<v Speaker 1>you can break down you can you know, apply some

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<v Speaker 1>some number to the numbers to the music theory of

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<v Speaker 1>it all, and it makes perfect sense. But then you

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<v Speaker 1>pull out some sort of like noise artist where they're

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<v Speaker 1>using very abstract sounds music that uh, to quote my wife,

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<v Speaker 1>sounds like someone through a xylophone down a stairwell. And

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<v Speaker 1>then it's gonna be hard to say like, oh, well, mathematically,

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<v Speaker 1>this is what's going on there. But then again, you

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<v Speaker 1>could also make the counter argument that even a chaotic system, um,

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<v Speaker 1>there's math going on there. Can you can go back

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<v Speaker 1>and forth. And now the ancient Greeks they definitely thought

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<v Speaker 1>there was there were numbers tied up in music, that

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<v Speaker 1>math and music were very closely related. Is this uh

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<v Speaker 1>pithe Pythi versus yeah, yeah, yeah, like because he use

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<v Speaker 1>all about the ratio of yeah, yeah, and his his

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<v Speaker 1>whole like system of of education. Um. They considered music

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<v Speaker 1>to be a strictly mathematical disciple in involving number of relationships,

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<v Speaker 1>ratios and proportions, and so if you break it down,

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<v Speaker 1>it would basically be a subdivision to quantitative mathematics in

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<v Speaker 1>Pithagorean time. So yeah, harmonica ratios proportions central in the

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<v Speaker 1>Greek's understanding too musical, okay, yeah, And so just to

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<v Speaker 1>back up a little bit to the five tone or

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<v Speaker 1>the pentatonic scale developed about three thousand years ago in China,

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<v Speaker 1>and then the Greeks they have the seven tone scale, right, um.

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<v Speaker 1>And then then we're talking about the twelve tone scale, right,

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<v Speaker 1>And this is when we're talking about Pythagora is really

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<v Speaker 1>obsessing on these ratios. And I won't go into the

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<v Speaker 1>math behind it, but that's how we sort of came

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<v Speaker 1>up with these varying skills. And it wasn't till around

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<v Speaker 1>I think Box time where they took one of those

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<v Speaker 1>ratios that was a bit off and and tinkered with

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<v Speaker 1>it and they came up with the final twelve tones. Um.

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<v Speaker 1>So again there's there's a system behind there. There's math

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<v Speaker 1>that's driving the way that we are expressing music, which

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<v Speaker 1>is pretty interesting, all right, But what exactly is going

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<v Speaker 1>on in the brain? Right? Yes? Yes, so let's uh,

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<v Speaker 1>let's take a quick break, and when we come back,

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<v Speaker 1>we will look at math and music in the human mind.

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<v Speaker 1>This presentation is brought to you by Intel sponsors of tomorrow,

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<v Speaker 1>and we're back music brains. What's happened? Yes, um, so,

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<v Speaker 1>obviously scientists have looked at the brain and analyze what

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<v Speaker 1>exactly is going on when we think about music or

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<v Speaker 1>contemplate music versus contemplating math, and they have Scientists actually

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<v Speaker 1>looked at brain injuries that suggest a single region in

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<v Speaker 1>the left hemisphere of the brain gives rise to sequential

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<v Speaker 1>analytic processing, which is used for both doing algebra and

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<v Speaker 1>reading music. All right, But then on the other hand,

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<v Speaker 1>there was a two thousand eight study from the University

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<v Speaker 1>of Arkansas that used a human Information Processing Survey instrument

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<v Speaker 1>or a HIPS instrument to measure hemispheric collaterality. They used

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<v Speaker 1>a hundred and one participants asked them to discuss their

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<v Speaker 1>prowess in first math and then in music, and their

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<v Speaker 1>finding suggested that math is a left hemisphere preference and

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<v Speaker 1>music is a right hemisphere preference. Okay, well, it's interesting,

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<v Speaker 1>right because we've talked about music before and how it

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<v Speaker 1>affects the brain, and we've found that there is no

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<v Speaker 1>one music center, um, so it's sort of spread up

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<v Speaker 1>throughout the brain. But to to know that's obviously engaging

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<v Speaker 1>in a part of the brain that is that's tracking

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<v Speaker 1>um math is interesting. And likewise, there have been a

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<v Speaker 1>number of studies which sort of say different things about

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<v Speaker 1>exactly how musical education affects one's mathematical prowess. Um. They

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<v Speaker 1>have been studies they've found that people with musical training

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<v Speaker 1>outperform people who don't have musical training. Um. But then

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<v Speaker 1>there's uh, there's stuff like for instance, there was the

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<v Speaker 1>Montreal Montreal Piano Project. All right, half the children were

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<v Speaker 1>giving piano lessons for three years, and after two years,

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<v Speaker 1>the piano playing kids were outscoring the others on spatial ability.

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<v Speaker 1>So the argument here was that yeah, learning music helps you,

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<v Speaker 1>um helps you with math because it's reinforcing the brain

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<v Speaker 1>circuits that power spatial thinking, which comes in handy not

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<v Speaker 1>only for knowing what keys match up with what note,

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<v Speaker 1>but also in geometry, physics, and chemistry, all right, But

0:12:33.840 --> 0:12:37.920
<v Speaker 1>then opposing that we have um um a study from

0:12:37.960 --> 0:12:41.640
<v Speaker 1>the University of Toronto. Uh, and this one, this one

0:12:41.679 --> 0:12:44.400
<v Speaker 1>was pretty cool too. They took six year olds, all right,

0:12:44.960 --> 0:12:48.280
<v Speaker 1>and they took weekly piano and singing lessons throughout the

0:12:48.320 --> 0:12:51.840
<v Speaker 1>school year, and they exhibited an average i Q increase

0:12:51.880 --> 0:12:55.520
<v Speaker 1>of seven h point zero points. Right. The other six

0:12:55.600 --> 0:12:58.520
<v Speaker 1>year olds who took either weekly drama lessons or received

0:12:58.520 --> 0:13:01.800
<v Speaker 1>no extra trick curricular lessons displayed an average i Q

0:13:02.040 --> 0:13:06.079
<v Speaker 1>rise of four point three points. So that's another one

0:13:06.080 --> 0:13:08.760
<v Speaker 1>that also seems to indicate, all right, they're they're learning

0:13:08.880 --> 0:13:11.560
<v Speaker 1>music and this is helping them with their scores. But

0:13:11.800 --> 0:13:15.040
<v Speaker 1>I also think, like non scientifically, that maybe the drama

0:13:15.080 --> 0:13:17.640
<v Speaker 1>kids were just having more fun and didn't have as

0:13:17.720 --> 0:13:21.280
<v Speaker 1>much time to really play with the studying all that much. Huh,

0:13:21.360 --> 0:13:24.720
<v Speaker 1>all right, yeah, they were too busy emoting. And then

0:13:24.760 --> 0:13:26.360
<v Speaker 1>the kids who didn't get anything, they were just setting

0:13:26.360 --> 0:13:30.000
<v Speaker 1>around in study hall like destroying desks with tiny axes

0:13:30.080 --> 0:13:32.760
<v Speaker 1>or something. They weren't having new experiences. And we just

0:13:32.760 --> 0:13:35.480
<v Speaker 1>talked about this so important is that you need to

0:13:35.480 --> 0:13:38.280
<v Speaker 1>to have new experiences in order to create new pathways. Yeah,

0:13:38.400 --> 0:13:42.680
<v Speaker 1>discussed in our Einstein's Brain podcasts. Alright, so there's there's

0:13:42.720 --> 0:13:47.760
<v Speaker 1>some basis here for some some waltzing, let's say, between

0:13:48.280 --> 0:13:51.520
<v Speaker 1>between the brain and music and maths. What I was

0:13:51.720 --> 0:13:55.280
<v Speaker 1>interested in knowing was whether anybody had ever actually taken

0:13:55.720 --> 0:13:59.480
<v Speaker 1>a piece of music and said, okay, here's here's here's

0:13:59.480 --> 0:14:02.240
<v Speaker 1>some math right here, right, because there are certain pieces

0:14:02.280 --> 0:14:03.800
<v Speaker 1>of music that I hear sometimes and I'm like, god,

0:14:03.840 --> 0:14:07.040
<v Speaker 1>I can I can't. Maybe geometrically, I can see things

0:14:07.200 --> 0:14:10.160
<v Speaker 1>going on in this music, um, which is sort of

0:14:10.200 --> 0:14:11.800
<v Speaker 1>interesting way you're talking about in your mind, not the

0:14:12.360 --> 0:14:15.520
<v Speaker 1>not the visualizer that pops up, yeah, exactly, not in

0:14:15.520 --> 0:14:17.520
<v Speaker 1>front of my computer with you know, I don't have

0:14:17.600 --> 0:14:22.720
<v Speaker 1>like purple splashes. Um. But what I found was that

0:14:22.760 --> 0:14:25.960
<v Speaker 1>there is a book called meta Magical Femus. It's called

0:14:26.040 --> 0:14:28.760
<v Speaker 1>Questing for the Essence of Mind and Pattern by Douglas

0:14:28.760 --> 0:14:32.040
<v Speaker 1>host Daughter And he actually looked at Chopin's music and

0:14:32.160 --> 0:14:35.000
<v Speaker 1>box as well, but he said, Chapon's music is filled

0:14:35.040 --> 0:14:38.200
<v Speaker 1>to the brim that I'm quoting with algebra algebraic tricks

0:14:38.200 --> 0:14:41.360
<v Speaker 1>of cross rhythm. A famous example is in his iconoclastic

0:14:41.360 --> 0:14:44.640
<v Speaker 1>waltz Opus forty two in a flat major written eighteen

0:14:44.720 --> 0:14:48.920
<v Speaker 1>forty and this waltz. The baseline follows the usual oompapa

0:14:49.320 --> 0:14:57.280
<v Speaker 1>convention of the waltz. I don't know if papa, yeah nice, yeah, okay, okay,

0:14:57.320 --> 0:14:59.840
<v Speaker 1>But the melody of the first section completely counters this

0:15:00.040 --> 0:15:03.960
<v Speaker 1>three nuts. It's six six eighth notes. Instead of being

0:15:03.960 --> 0:15:06.080
<v Speaker 1>broken up into three pairs aligned with the left hand

0:15:06.320 --> 0:15:10.080
<v Speaker 1>bounces while playing form two triplets. The initial notes of

0:15:10.120 --> 0:15:12.960
<v Speaker 1>the success of triplets are to be clearly emphasized and prolonged,

0:15:13.000 --> 0:15:16.160
<v Speaker 1>thus creating a higher level melody abstracted out of the

0:15:16.320 --> 0:15:20.640
<v Speaker 1>quietly rippling right hand. Yeah. I think I'm gonna have

0:15:20.640 --> 0:15:23.040
<v Speaker 1>to hear an example and put that together. Yes, yes,

0:15:23.080 --> 0:15:25.960
<v Speaker 1>And he's saying that this melody is composed of two

0:15:26.000 --> 0:15:28.400
<v Speaker 1>notes per measure beating regularly against three notes of a

0:15:28.440 --> 0:15:30.800
<v Speaker 1>waltzing base. And he says it's a marvelous trump let

0:15:30.920 --> 0:15:34.880
<v Speaker 1>aier effect, which which means the oral equivalent to an

0:15:34.880 --> 0:15:38.640
<v Speaker 1>optical illusion. Basically, So let's take a quick listen to

0:15:39.680 --> 0:15:43.240
<v Speaker 1>uh this waltz. It was forty two in a flat major.

0:15:53.680 --> 0:15:56.800
<v Speaker 1>I don't know, did you hear it? Um? Yeah, I

0:15:56.880 --> 0:15:59.000
<v Speaker 1>think I can. I can get a sense of some

0:15:59.080 --> 0:16:02.920
<v Speaker 1>of that coming together. I definitely got the oom Papa. Yes.

0:16:03.400 --> 0:16:06.280
<v Speaker 1>So that's one example where someone has actually tried to

0:16:06.320 --> 0:16:10.560
<v Speaker 1>map this, which is kind of interesting. And um. There

0:16:10.600 --> 0:16:14.160
<v Speaker 1>was another example that I found by mathematician Hence Strob,

0:16:14.200 --> 0:16:16.640
<v Speaker 1>and he talks about modal jazz. And the reason I

0:16:16.760 --> 0:16:19.960
<v Speaker 1>really wanted to look into this is because jazz modal

0:16:20.040 --> 0:16:23.880
<v Speaker 1>jazz is uh is someone like uh, it was like

0:16:24.360 --> 0:16:29.680
<v Speaker 1>Miles Davis. Miles Davis is usually attributed to be the

0:16:29.720 --> 0:16:32.640
<v Speaker 1>person that that sort of creative medal jazz are popularized

0:16:32.680 --> 0:16:36.800
<v Speaker 1>it um, particularly in the fifties. So this modal jazz

0:16:36.880 --> 0:16:39.960
<v Speaker 1>is is said to have a more horizontal structure, whereas

0:16:39.960 --> 0:16:43.720
<v Speaker 1>traditional jazz is structured more vertically, and modal just means

0:16:43.720 --> 0:16:45.040
<v Speaker 1>that he took a bunch of notes and he sort

0:16:45.040 --> 0:16:49.000
<v Speaker 1>of squished them all in this my my horrible understanding

0:16:49.040 --> 0:16:53.280
<v Speaker 1>of both mathematics and UM and music theory. Um. So

0:16:53.400 --> 0:16:55.760
<v Speaker 1>it just seems weird that jazz would like I thought

0:16:55.840 --> 0:16:58.920
<v Speaker 1>jazz was free flowing, man. I thought you can't put

0:16:59.000 --> 0:17:02.600
<v Speaker 1>math on jazz. Jazz as its own rhythm. Yeah, well

0:17:02.640 --> 0:17:05.520
<v Speaker 1>that's the incredible thing. And that's why I love Miles

0:17:05.600 --> 0:17:08.240
<v Speaker 1>Davis is because it does seem like there's a lot

0:17:08.280 --> 0:17:12.560
<v Speaker 1>of um sort of off off the cuff playing, right,

0:17:13.040 --> 0:17:14.639
<v Speaker 1>But I mean, the fact of the matter is is

0:17:14.680 --> 0:17:19.560
<v Speaker 1>that they're taking some some very um concentric like rhythms

0:17:19.960 --> 0:17:21.960
<v Speaker 1>and then they're playing off of that. So what you

0:17:22.040 --> 0:17:24.240
<v Speaker 1>might hear which sounds sort of like, oh wow, man,

0:17:24.280 --> 0:17:28.040
<v Speaker 1>that that cat is just going nuts on the saxophone, Um,

0:17:28.119 --> 0:17:30.360
<v Speaker 1>they are, but but they're doing it in the sort

0:17:30.400 --> 0:17:33.359
<v Speaker 1>of loops, um, these horizontal loops, and they're not doing

0:17:33.400 --> 0:17:36.080
<v Speaker 1>a lot of key changes. So let me try tokay. So, like,

0:17:36.400 --> 0:17:39.639
<v Speaker 1>if you had like a really crazy story that that

0:17:39.640 --> 0:17:42.560
<v Speaker 1>that at its heart followed a traditional story arc, even

0:17:42.560 --> 0:17:44.959
<v Speaker 1>if it involved like art arts from Mars in love

0:17:45.040 --> 0:17:47.359
<v Speaker 1>with each other or something. Yeah, yeah, And everybody knows

0:17:47.400 --> 0:17:50.360
<v Speaker 1>that that once you start, you know, to be good

0:17:50.359 --> 0:17:52.719
<v Speaker 1>at any craft, right, you have to know the absolute basics.

0:17:52.760 --> 0:17:55.040
<v Speaker 1>You have to master it. And um, you know, Myles

0:17:55.040 --> 0:17:58.480
<v Speaker 1>Savis is someone who certainly was master at what he did,

0:17:58.920 --> 0:18:01.320
<v Speaker 1>So that gave him the othery to sort of riff

0:18:01.359 --> 0:18:04.840
<v Speaker 1>off of stuff and um, play with modal notes and

0:18:04.840 --> 0:18:06.719
<v Speaker 1>and do all these sort of different things that actually

0:18:06.800 --> 0:18:10.840
<v Speaker 1>changed people's perception of that music itself. So what I

0:18:10.840 --> 0:18:13.560
<v Speaker 1>thought was interesting about it is that this this guy Hendstrub,

0:18:13.640 --> 0:18:16.280
<v Speaker 1>he talks about the traditional jazz being structured more vertically,

0:18:16.280 --> 0:18:19.800
<v Speaker 1>which means in this context that traditional jazz impro improvisations

0:18:19.800 --> 0:18:23.480
<v Speaker 1>are based on chord progressions and modal jazz. On the

0:18:23.520 --> 0:18:28.120
<v Speaker 1>other hand, improvised improvisations typically go on for long periods

0:18:28.160 --> 0:18:30.520
<v Speaker 1>without any chord change. So that so I was talking

0:18:30.520 --> 0:18:33.480
<v Speaker 1>about earlier, and the interest is more turned towards the

0:18:33.480 --> 0:18:37.879
<v Speaker 1>melodic line. Uh So, it's it's a That's why I

0:18:37.880 --> 0:18:39.280
<v Speaker 1>thought it was sort of interesting to me because I

0:18:39.280 --> 0:18:41.280
<v Speaker 1>thought I can see that visually. I can see that

0:18:41.280 --> 0:18:44.560
<v Speaker 1>in Miles Davis's music. You can see this horizontal spreading.

0:18:44.560 --> 0:18:46.400
<v Speaker 1>You can see in Yo yo mom when he does

0:18:47.200 --> 0:18:50.720
<v Speaker 1>uh the box suitets um. You can see it maybe

0:18:50.720 --> 0:18:52.879
<v Speaker 1>even in like PJ. Harvey and like White Chalk, like

0:18:52.920 --> 0:18:55.119
<v Speaker 1>the Cults an album that has sort of like this

0:18:55.359 --> 0:18:58.800
<v Speaker 1>horizontal spreading, although you could say there are some there's

0:18:58.840 --> 0:19:02.280
<v Speaker 1>some vertical loops of coophany in that as well. But anyway,

0:19:02.359 --> 0:19:05.920
<v Speaker 1>let's let's just listen to a quick clip from kind

0:19:05.920 --> 0:19:21.680
<v Speaker 1>of Blue Miles Davis. Cool. Yeah, Now, did you say

0:19:21.760 --> 0:19:25.399
<v Speaker 1>this is actually your favorite track, your favorite song, favorite album?

0:19:25.440 --> 0:19:28.560
<v Speaker 1>I mean the entire album is my favorite. There's actually

0:19:28.600 --> 0:19:30.560
<v Speaker 1>not one song on there that I would say that

0:19:30.600 --> 0:19:32.760
<v Speaker 1>is my absolute favorite. I love it as a whole piece,

0:19:33.040 --> 0:19:35.680
<v Speaker 1>and um, you know we've talked about this before and

0:19:35.920 --> 0:19:38.159
<v Speaker 1>getting in the zone, and um, this is one of

0:19:38.160 --> 0:19:41.239
<v Speaker 1>those pieces of music that I can listen to and

0:19:41.320 --> 0:19:43.000
<v Speaker 1>it does sound it kind of put me into a

0:19:43.040 --> 0:19:46.359
<v Speaker 1>different state that allows me to think clearer, think at

0:19:46.440 --> 0:19:49.159
<v Speaker 1>higher levels. I think, is why I like it. And

0:19:49.200 --> 0:19:51.560
<v Speaker 1>also we've talked about this too, like lyrics sometimes bother

0:19:51.720 --> 0:19:56.640
<v Speaker 1>me when I'm trying to cogitate up in Monogaen. So

0:19:56.800 --> 0:19:59.520
<v Speaker 1>you know, that's that's that's some of the discovery here

0:19:59.600 --> 0:20:01.639
<v Speaker 1>where we're seeing that the music and the math, at

0:20:01.680 --> 0:20:04.000
<v Speaker 1>least again geometrically, I can see it. I don't know

0:20:04.040 --> 0:20:06.320
<v Speaker 1>if it's the same for other people. But there's a

0:20:06.320 --> 0:20:09.240
<v Speaker 1>guy named Dave Russ, and he's associate professor of mathematics

0:20:09.320 --> 0:20:12.879
<v Speaker 1>at Northern Illinois University, and he really does try to

0:20:12.960 --> 0:20:16.520
<v Speaker 1>make this correlation between music and math, and he thinks

0:20:16.520 --> 0:20:20.640
<v Speaker 1>it's important for for students to better understand math. In fact, well,

0:20:20.720 --> 0:20:24.439
<v Speaker 1>he says mathematics, like music, embodies certain patterns and ideas

0:20:24.480 --> 0:20:30.600
<v Speaker 1>which don't translate well into words, as we found out. Uh,

0:20:30.960 --> 0:20:33.440
<v Speaker 1>as you listener, hath end up. We can feel them,

0:20:33.480 --> 0:20:36.760
<v Speaker 1>see them, understand them, but only after we have really

0:20:36.840 --> 0:20:39.399
<v Speaker 1>worked to lift them off the paper and into our minds,

0:20:39.720 --> 0:20:41.960
<v Speaker 1>only after we've tried to see where they come from,

0:20:42.080 --> 0:20:47.480
<v Speaker 1>only after considerable practice with the minutia, gradually adding the trills. Uh,

0:20:47.520 --> 0:20:50.280
<v Speaker 1>do we have the full spirit of the idea? Mathematics

0:20:50.280 --> 0:20:53.359
<v Speaker 1>like music as a human adventure, people create and discover it,

0:20:53.680 --> 0:20:56.480
<v Speaker 1>they try to then share it and enjoy it. Yeah.

0:20:56.640 --> 0:20:58.320
<v Speaker 1>I mean I I definitely found that to be the

0:20:58.320 --> 0:21:01.320
<v Speaker 1>case with both music and mathematics, because on one hand,

0:21:01.400 --> 0:21:05.600
<v Speaker 1>I love um certain genres of music, and I'll you know,

0:21:05.640 --> 0:21:07.600
<v Speaker 1>I'll listen to it all the time, but I'm not

0:21:07.640 --> 0:21:10.280
<v Speaker 1>necessarily really good at describing what's great about it. Like

0:21:10.320 --> 0:21:11.920
<v Speaker 1>if if I'm like, you know, talking to a friend,

0:21:11.960 --> 0:21:13.600
<v Speaker 1>I'm like, oh, you gotta listen to this new mix

0:21:13.640 --> 0:21:14.920
<v Speaker 1>by so and so, and they might be like, well,

0:21:14.920 --> 0:21:17.080
<v Speaker 1>what's awesome about it? And I may be a little

0:21:17.080 --> 0:21:19.040
<v Speaker 1>stump for words, you know, unless I have some time

0:21:19.080 --> 0:21:23.400
<v Speaker 1>to prep. Likewise, with mathematics, I was the last week

0:21:23.400 --> 0:21:26.359
<v Speaker 1>I was working on an article about number theory and

0:21:26.400 --> 0:21:30.200
<v Speaker 1>like number theory. Especially when writing for a general audience

0:21:30.320 --> 0:21:34.719
<v Speaker 1>and a you know, non math audience, it's it quickly

0:21:34.800 --> 0:21:39.120
<v Speaker 1>becomes a conversation that cannot be really held in English

0:21:39.200 --> 0:21:41.320
<v Speaker 1>but needs to be held or any language, but needs

0:21:41.320 --> 0:21:43.840
<v Speaker 1>to be held in math. You know, it needs to

0:21:43.840 --> 0:21:47.240
<v Speaker 1>be held with numerals and and equations. So it becomes

0:21:47.240 --> 0:21:51.199
<v Speaker 1>increasingly difficult to to explain the topic without being the

0:21:51.240 --> 0:21:54.680
<v Speaker 1>topic right right. And that's why us wildly humans, I suppose,

0:21:54.840 --> 0:21:57.480
<v Speaker 1>turned to math and music to try to express ourselves

0:21:57.480 --> 0:22:00.240
<v Speaker 1>and our ideas and in a better way. Yeah, because

0:22:00.359 --> 0:22:02.320
<v Speaker 1>I think I saw it pointed out that both both

0:22:02.400 --> 0:22:05.359
<v Speaker 1>music and math are like they're self describing things. The

0:22:05.440 --> 0:22:10.200
<v Speaker 1>music describes itself, the math describes itself, and h and yeah,

0:22:10.240 --> 0:22:11.879
<v Speaker 1>at the at the end of the day, it kind

0:22:11.880 --> 0:22:14.159
<v Speaker 1>of sounds like, you know, defeatist, but they both kind

0:22:14.160 --> 0:22:18.119
<v Speaker 1>of described themselves the best. There we go looking in

0:22:18.160 --> 0:22:22.720
<v Speaker 1>the mirror. I'm trying to change the world. I don't

0:22:22.760 --> 0:22:25.919
<v Speaker 1>know I was trying to do, Michael Jackson, there apologize

0:22:26.760 --> 0:22:29.280
<v Speaker 1>you were trying to do like an impersonation. I was

0:22:29.320 --> 0:22:31.800
<v Speaker 1>thinking that math and music we're looking at each other

0:22:31.800 --> 0:22:33.760
<v Speaker 1>in the world. And then excuse me, looking at each

0:22:33.800 --> 0:22:35.240
<v Speaker 1>other in the mirror, and then I started thinking about

0:22:35.240 --> 0:22:38.000
<v Speaker 1>that song man in the mirror. Oh, it's just bad

0:22:38.040 --> 0:22:40.439
<v Speaker 1>all around. No, No, it wasn't that bad. It was good.

0:22:40.960 --> 0:22:44.920
<v Speaker 1>You did fun um. If we have the speaking of math,

0:22:45.160 --> 0:22:47.520
<v Speaker 1>we have a listener mail here, a listener by the

0:22:47.560 --> 0:22:49.679
<v Speaker 1>name of Timothy. He says, hello, stuff to all your

0:22:49.720 --> 0:22:51.639
<v Speaker 1>mind crew. I just wanted to say thank you for

0:22:51.760 --> 0:22:54.800
<v Speaker 1>the unusually deep mathematics podcast. I am a science and

0:22:54.840 --> 0:22:57.320
<v Speaker 1>philosophy enthusiast, and I just happened to be in the

0:22:57.320 --> 0:22:59.440
<v Speaker 1>middle of a book called A World Without Time, the

0:22:59.520 --> 0:23:02.879
<v Speaker 1>Forgotten Legacy of Godal and Einstein when you aired your podcast.

0:23:03.320 --> 0:23:06.879
<v Speaker 1>I personally believe that Godal's incompleteness, theorems, the existence of

0:23:06.960 --> 0:23:12.320
<v Speaker 1>non eucludean geometries, the necessity of imaginary numbers, and such

0:23:12.400 --> 0:23:15.520
<v Speaker 1>all point to math is a formal system invented by humans.

0:23:15.760 --> 0:23:18.359
<v Speaker 1>It strikes me as something similar to a game like chess,

0:23:18.640 --> 0:23:23.040
<v Speaker 1>where simple rules give rise to an incredibly complex overall system.

0:23:23.119 --> 0:23:26.040
<v Speaker 1>I could imagine a chess like game being created to

0:23:26.119 --> 0:23:29.080
<v Speaker 1>model physics. What is interesting to me is that Godal,

0:23:29.200 --> 0:23:32.719
<v Speaker 1>like many mathematicians, was of the opposite persuasion. He believed

0:23:32.720 --> 0:23:36.840
<v Speaker 1>that math exists independent of the human mind. By the way,

0:23:36.880 --> 0:23:39.600
<v Speaker 1>one of my favorite books is also godal escher Bach

0:23:39.720 --> 0:23:46.720
<v Speaker 1>by Douglas hofstadtur Hofstadter Yeah, can we as ye, which

0:23:46.760 --> 0:23:49.399
<v Speaker 1>I highly recommend it to any listeners who also enjoyed

0:23:49.440 --> 0:23:51.640
<v Speaker 1>the Math podcast. Thank you for all the hard work

0:23:51.720 --> 0:23:55.879
<v Speaker 1>you to do, Tim. Thanks Tim. Yeah, so, yeah, the

0:23:56.240 --> 0:23:59.120
<v Speaker 1>we have the podcast that we've in referenced earlier. Um

0:23:59.359 --> 0:24:02.880
<v Speaker 1>is math a human invention or a human discovery? And uh, yeah,

0:24:02.920 --> 0:24:05.080
<v Speaker 1>that was a lot of fun to do. Yeah it was.

0:24:05.200 --> 0:24:08.159
<v Speaker 1>And and uh again, we were both a little bit

0:24:08.160 --> 0:24:11.040
<v Speaker 1>trepidacious about, you know, entering into the realm of math,

0:24:11.160 --> 0:24:14.520
<v Speaker 1>but it turns out it was not painful at all. Yeah,

0:24:14.840 --> 0:24:16.719
<v Speaker 1>And if you want to enter into our realm, then

0:24:16.760 --> 0:24:18.720
<v Speaker 1>all you have to do is check out Facebook and Twitter.

0:24:19.040 --> 0:24:21.600
<v Speaker 1>It is not painful either, not painful at all. I

0:24:21.600 --> 0:24:23.600
<v Speaker 1>mean unless like twitters down or something, and it can

0:24:23.640 --> 0:24:25.920
<v Speaker 1>be a little frustrating. But now we'll blow the mind

0:24:25.960 --> 0:24:27.560
<v Speaker 1>on both of those and we update that with all

0:24:27.600 --> 0:24:30.000
<v Speaker 1>sorts of links to cool stuff. We're reading cool stuff,

0:24:30.000 --> 0:24:33.480
<v Speaker 1>we're writing cool stuff that we just podcasts about, and

0:24:33.560 --> 0:24:35.240
<v Speaker 1>we would love to hear from you. So Please feel

0:24:35.280 --> 0:24:37.240
<v Speaker 1>free to drop us a line at blow the Mind

0:24:37.280 --> 0:24:44.560
<v Speaker 1>at how stuff works dot com. Be sure to check

0:24:44.600 --> 0:24:47.760
<v Speaker 1>out our new video podcast, Stuff from the Future. Join

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<v Speaker 1>how Stuff Work staff as we explore the most promising

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<v Speaker 1>and perplexing possibilities of tomorrow.