WEBVTT - Was Ada Lovelace the first computer programmer?

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<v Speaker 1>Brought to you by the reinvented two thousand twelve camera.

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<v Speaker 1>It's ready. Are you get in touch with technology? With

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<v Speaker 1>tech Stuff from how stuff works dot com. Hello again, everyone,

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<v Speaker 1>Welcome to tech stuff. My name is Chris Poette and

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<v Speaker 1>I am an editor here at how stuff works dot com.

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<v Speaker 1>Sitting across from me, as usual, is senior writer Jonathan Strickland.

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<v Speaker 1>Does not compute. Nice, very nice, Thank you. Not everything computes, No,

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<v Speaker 1>not everything. But the lady will be talking about in

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<v Speaker 1>this podcast. Sure dead, Yeah, let's talk about her. This

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<v Speaker 1>is comes courtesy of a little listener mail. And uh,

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<v Speaker 1>this listener mail is actually a two fur We got

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<v Speaker 1>two requests in the space of a week, which is

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<v Speaker 1>not a big surprise considering the subject of this um

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<v Speaker 1>this podcast. It's a listener mail rock blaw. Yeah. So

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<v Speaker 1>this comes from Bridget and Adam. So uh, I'll read

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<v Speaker 1>Bridgets first. Bridget is from Australia, but I'm not going

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<v Speaker 1>to try and do an Australian accent because whenever I do,

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<v Speaker 1>I sound like a New Zealander who suffered massive head trauma.

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<v Speaker 1>So here is bridgets email. Good day, Chris and Jonathan.

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<v Speaker 1>I've been spending some time lately looking to inspirational people

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<v Speaker 1>in hope of finding a suitable name for my soon

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<v Speaker 1>to be born child. Such searching brought me to Ada Lovelace,

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<v Speaker 1>otherwise known as the Mother of Coding. I've done a

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<v Speaker 1>little research into Ada and found that there's some discussion

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<v Speaker 1>as to whether she deserves this moniker. Was Ada Lovelace

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<v Speaker 1>the first computer programmer and therefore a worthy namesake for

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<v Speaker 1>my future daughter? Let me know what you think. Cheers,

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<v Speaker 1>Bridget and Adams. Was I recently learned a little about

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<v Speaker 1>Ada Lovelace, the first woman to write an algorithm that

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<v Speaker 1>would be read by a computer, and thought it would

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<v Speaker 1>make a great podcast. I love the show. Keep up

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<v Speaker 1>the amazing work. Can you also do a show on

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<v Speaker 1>the LHC. Please cheers? Insert beer clink sound here. Alright,

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<v Speaker 1>Bridget and Adam, this is our podcast about Ada, not

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<v Speaker 1>about the LHC. Um Jonathan, we can't do this podcast.

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<v Speaker 1>What do you mean we can't do this podcast. It's

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<v Speaker 1>already been done. I mean stuff he missed in History Class?

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<v Speaker 1>It's already done a whole podcast. There's a podcast called

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<v Speaker 1>stuff you Missed in History Class? There is It's wonderful.

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<v Speaker 1>Is that the one with Katy and Sarah. It is indeed,

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<v Speaker 1>and they talked about Ada Lovelace already they did, and

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<v Speaker 1>they did really well, you know what we should do.

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<v Speaker 1>What's that? We should just have their podcast play and

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<v Speaker 1>we'll sign off. All right, we'll just insert their podcast

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<v Speaker 1>here and then no, we can't. We can't do that.

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<v Speaker 1>We can't do that. Besides, they specifically mentioned us in

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<v Speaker 1>that podcast. Well, maybe what we should do then is

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<v Speaker 1>talk specifically about her computer programming expertise and how she

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<v Speaker 1>managed to do that considering she lived in the eighteen hundreds. Yeah,

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<v Speaker 1>you would think she lived before computers. How could she

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<v Speaker 1>have written a computer programmer program? Rather not wrote a

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<v Speaker 1>programmers a long week? Well, we're gonna do this on Friday.

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<v Speaker 1>Actual clearly not, but we're going to tell you how

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<v Speaker 1>she wrote a computer program. First of all, Bridget, I'm

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<v Speaker 1>going to get this all the way. First of all,

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<v Speaker 1>congratulations on your child. And also, Aida is more than worthy.

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<v Speaker 1>I would say, In fact, I kind of fell in

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<v Speaker 1>love with this lady the more I read about her.

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<v Speaker 1>Actually her first name was an Aida. No, it was

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<v Speaker 1>Augusta Augusta Ada Byron. Yeah, Augusta Ada Byron, daughter of

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<v Speaker 1>Lord Byron the poet. Yes, she was born December tenth,

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<v Speaker 1>eighteen fifteen, the daughter of Lord George Gordon Byron and

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<v Speaker 1>Annabella Millbank Byron. Um. Actually, your parents married on the

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<v Speaker 1>second of January and eighteen fifteen, but we're separated by

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<v Speaker 1>January six, eighteen sixteen, So the marriage lasted a full

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<v Speaker 1>year and a week and a half, just long enough

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<v Speaker 1>to uh to have the first computer programmer born to them, right, Um,

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<v Speaker 1>so yes, they're there. Marriage was not a happy one

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<v Speaker 1>her parents and uh. In fact, um young Ada was

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<v Speaker 1>never to meet. Her father was separated. Um, she lived

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<v Speaker 1>with her mom, and her mom had decided that Aida

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<v Speaker 1>did not really need to have the distractions of poetry.

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<v Speaker 1>She thought that Byron's rather unpredictable personality let's call it

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<v Speaker 1>that showy um was due to his romanticism and his

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<v Speaker 1>obsession with poetry. Yeah, let's just and and Annabella the

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<v Speaker 1>mother felt that the that such qualities were not really admirable.

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<v Speaker 1>She didn't want her daughter to have the same sort

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<v Speaker 1>of personality and uh and and wanting lifestyle as the

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<v Speaker 1>father did had so um so she thought, well, what's

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<v Speaker 1>the least poetic thing I can push my daughter into

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<v Speaker 1>I happen to be an amateur mathematician. Let's push her

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<v Speaker 1>into mathematics. Yeah. Actually uh. As a matter of fact,

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<v Speaker 1>I found out that Lord Byron had referred to his

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<v Speaker 1>very brief married married wife, um uh, he called Annabella

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<v Speaker 1>the Princess of parallelograms. Yes, that was a lot poetic.

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<v Speaker 1>It was not meant to be a compliment, nonetheless, but

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<v Speaker 1>it does illustrate that she had a mathematical bent herself.

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<v Speaker 1>And what I find interesting is that not only were

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<v Speaker 1>Lord Byron's poetical genes evident later in Ada's life, but

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<v Speaker 1>it's actually she ended up being sort of a blend

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<v Speaker 1>of both of her parents, as is appropriate for this case. Yeah. Yeah,

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<v Speaker 1>and Ada herself received a a wonderful, wonderful title given

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<v Speaker 1>to her by by Charles Babbage, who will will discuss

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<v Speaker 1>at length in a little bit, uh, the Enchantress of Numbers,

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<v Speaker 1>which I think is an amazing, amazing phrase and very

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<v Speaker 1>fitting as well. So Aida grows up um with some

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<v Speaker 1>of the best tutors in that you can imagine. During

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<v Speaker 1>this time she studies mathematics and has absolutely fascinated with them.

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<v Speaker 1>It's the subject mathematics, and is incredibly adept an amazing student.

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<v Speaker 1>In fact, the more we research data, the more I

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<v Speaker 1>realized anyway, that she was phenomenally more intelligent than I am.

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<v Speaker 1>I mean, I can't even really compare. Uh. She was

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<v Speaker 1>able to to understand algorithms that that completely baffle me,

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<v Speaker 1>and I was able to to really study them in

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<v Speaker 1>a way that she found fascinating. I find them perplexing

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<v Speaker 1>and maddening. She found it as having its own kind

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<v Speaker 1>of poetry. Um, and in a way you think about it, well,

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<v Speaker 1>this kind of makes sense, you know. We we when

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<v Speaker 1>you really look at algorithms, we're talking about things like

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<v Speaker 1>number theory and how the universe sort of works, like

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<v Speaker 1>how things kind of fit together. And we express this

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<v Speaker 1>more often than not through mathematic equations and algorithms and

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<v Speaker 1>things of that nature. And she was able to see

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<v Speaker 1>that kind of stuff. I'm under I can understand the

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<v Speaker 1>underlying concept, but when you get beyond that, it just

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<v Speaker 1>I feel like I'm a fish out of water. Yeah,

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<v Speaker 1>I understand. Well, let's see, um, somebody who else who

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<v Speaker 1>was fascinated with her would be William King. Yes, he

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<v Speaker 1>was so fascinated. Whether he married her? Yeah? Well the

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<v Speaker 1>first William King? Who was who was her tutor. I

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<v Speaker 1>found that I found this interesting. I mean the two

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<v Speaker 1>different William Kings. Well no, actually I did mean, I

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<v Speaker 1>did mean her future husband. But it was really funny

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<v Speaker 1>because it confused me for a second when I was

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<v Speaker 1>doing the research, I said William King was her tutor.

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<v Speaker 1>And then, as it turns out, there was a William King,

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<v Speaker 1>not the one she married, as her tutor, who was

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<v Speaker 1>apparently uh immediately feeling out of his depth as he

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<v Speaker 1>talked to her, he realized that she had a much

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<v Speaker 1>more innate grasp of mathematics than he did, so he

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<v Speaker 1>he actually bowed out very quickly. He was one of

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<v Speaker 1>the many many but yeah, less than a year later,

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<v Speaker 1>apparently he uh ad married the other William King, who

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<v Speaker 1>um was the eighth bear in King and U was

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<v Speaker 1>an earl made an earl in nineteen thirty eight, so

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<v Speaker 1>that's when she became eight eighteen thirty eight, dude. So yes,

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<v Speaker 1>he was made an earl in eighteen thirty eight, and

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<v Speaker 1>that's when she became the Countess of Lovelace. Yes, so

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<v Speaker 1>we usually just referred to her as Ada Lovelace. Uh. Now,

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<v Speaker 1>Aida continued her her almost obsession with mathematics throughout her life,

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<v Speaker 1>which unfortunately was tragically short. Ada passed away from after

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<v Speaker 1>contracting cancer. Um. I think she was thirty seven. It

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<v Speaker 1>was eighteen fifty two, and she died November eighteen, eighteen

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<v Speaker 1>fifty two. Right. Uh so, But during that her her life,

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<v Speaker 1>she ended up encountering lots of remarkable people as including

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<v Speaker 1>you know, like the author of Charles Dickens, who became

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<v Speaker 1>a close friend. One of her other friends was Charles Babbage. Yeah,

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<v Speaker 1>she met she met Babbage who was the Leucassian Professor

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<v Speaker 1>of mathematics at Cambridge. She met him when she was

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<v Speaker 1>just seventeen, um, which is a pretty interesting eighteen thirty three,

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<v Speaker 1>was it right around when that happened. Um. And she

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<v Speaker 1>she rubbed elbows with other people who were interested in

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<v Speaker 1>math and science, like Mary Somerville. Um. And that's uh,

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<v Speaker 1>I don't know. Should we get into the the time

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<v Speaker 1>when she was talking at a party with Babbage about

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<v Speaker 1>this new machine four Um. He had come up with

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<v Speaker 1>this thing, the analytical engine. Yes, all right, well, let's

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<v Speaker 1>let's backtrack just a touch before we get into the

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<v Speaker 1>analytical engine. That was not the first machine that Babbage

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<v Speaker 1>had proposed. No, no, not at all. As a matter

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<v Speaker 1>of fact, we brought it up before from the past, right,

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<v Speaker 1>that was a fun podcast, um, but yes, this was

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<v Speaker 1>a more recent one. And as we talked about on

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<v Speaker 1>that podcast, UM, Abbage was having difficulty getting funding for

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<v Speaker 1>these amazing machines because people just didn't get it. Babbage

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<v Speaker 1>was able to get subfunding for his first uh machine,

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<v Speaker 1>which is called the difference engine. Yes, different from the

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<v Speaker 1>other one. Right. It was a little more simplistic than

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<v Speaker 1>his idea for the analytical engine. Right now, the difference engine,

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<v Speaker 1>he managed to get some money to fund it, but

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<v Speaker 1>his the process of building it was a very long,

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<v Speaker 1>laborious process. They had to actually machine these parts by

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<v Speaker 1>hand and and try and put it all together, and uh,

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<v Speaker 1>he kind of ran out of money before he ran

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<v Speaker 1>out machine. The machine was not done yet, and um

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<v Speaker 1>it was in the process of this whole construction phase

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<v Speaker 1>that he got the idea for the analytical machine, which

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<v Speaker 1>was even more ambitious than the difference yes engine. Right.

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<v Speaker 1>So the analytical engine was going to be uh more

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<v Speaker 1>complex and be able to do more than the difference engine,

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<v Speaker 1>which you could kind of say was essentially a giant calculator.

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<v Speaker 1>The analytical engine was more like a very primitive computer. Yeah,

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<v Speaker 1>and as a matter of fact that at that time,

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<v Speaker 1>that whole time thing, the fact that was taking a

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<v Speaker 1>long time to build, did not help him when he

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<v Speaker 1>was seeking funding for the analytical engine. Right. There were

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<v Speaker 1>two things that two things that budd that kind of

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<v Speaker 1>plagued him when he was trying to get some money.

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<v Speaker 1>One was that he had not finished the difference engine,

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<v Speaker 1>and that was kind of what he was being paid

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<v Speaker 1>for in the first place. So his funders were saying,

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<v Speaker 1>until you build this other machine you promised us several

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<v Speaker 1>years ago, we ain't giving you no more money. Yeah.

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<v Speaker 1>And then the other part of they probably did. They

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<v Speaker 1>probably said with an English accent, So that's probably until

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<v Speaker 1>you go and fish daddy, we ain't given you no

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<v Speaker 1>more money. Uh. They're apparently all glad, apparently apparently all

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<v Speaker 1>played by Dick van Dyke. So um anyway, at any rate,

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<v Speaker 1>so the sammage is in a tight spot. But he

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<v Speaker 1>comes up with this idea of the analytical engine, and

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<v Speaker 1>of course he's very passionate about it, so he's blabbering

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<v Speaker 1>on and on about it at parties. Yes, then you

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<v Speaker 1>have young Ada Lovelace who over here such talk thinks

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<v Speaker 1>this sounds absolutely fascinating, and not only does she think

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<v Speaker 1>it's interesting, she immediately sees the potential to use such

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<v Speaker 1>a device far beyond even Babbage is uh concepts s.

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<v Speaker 1>Babbage is thinking, well, this would allow you to create

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<v Speaker 1>an engine that would be able to generate the numbers

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<v Speaker 1>that you would find in a logarithmic table, because until

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<v Speaker 1>that point you pretty much had to be able to

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<v Speaker 1>come up with those figures by doing the calculations all yourself.

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<v Speaker 1>And these calculations were pretty complex, and it was easy

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<v Speaker 1>to to make a mistake along the way, which would

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<v Speaker 1>of course affect all of your figures from that point on. Uh.

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<v Speaker 1>And he he just he was sitting down one day

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<v Speaker 1>and he was thinking, what if I could What if

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<v Speaker 1>there are a machine, some steam powered machine that could

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<v Speaker 1>generate these numbers so I wouldn't have to and then

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<v Speaker 1>I could I could generate them as far out as

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<v Speaker 1>I wanted to. Uh, And I wouldn't have to worry

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<v Speaker 1>about error because the machine would just be following the

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<v Speaker 1>same algorithm over and over and over again. Yes, well,

0:13:10.280 --> 0:13:12.920
<v Speaker 1>Ada thought of that, and she even went further. She

0:13:12.960 --> 0:13:17.760
<v Speaker 1>said that you could potentially use mathematics to represent other

0:13:17.840 --> 0:13:25.240
<v Speaker 1>things like text or images or even music. She had

0:13:25.400 --> 0:13:31.160
<v Speaker 1>foreseen computers. This remarkable woman was able to look at

0:13:31.200 --> 0:13:33.640
<v Speaker 1>this machine that really was meant to be able to

0:13:33.760 --> 0:13:37.959
<v Speaker 1>run algorithms so that you could generate more mathematical figures,

0:13:37.960 --> 0:13:40.960
<v Speaker 1>mainly in the in the pursuit of mathematics itself and

0:13:41.000 --> 0:13:44.080
<v Speaker 1>things like number theory, UM, and she was able to

0:13:44.200 --> 0:13:50.840
<v Speaker 1>see even grander uses, which to me is it's it's

0:13:51.200 --> 0:13:54.280
<v Speaker 1>it's one of those discoveries that I just think before

0:13:54.360 --> 0:13:57.920
<v Speaker 1>that time, no one had ever really even considered this,

0:13:58.040 --> 0:14:00.880
<v Speaker 1>and then she just comes up with it just by

0:14:01.040 --> 0:14:04.720
<v Speaker 1>looking at this thing and seeing its potential. Yes, it's

0:14:04.760 --> 0:14:08.800
<v Speaker 1>that's where I'm like, Okay, this woman was way above

0:14:08.840 --> 0:14:11.160
<v Speaker 1>and beyond smarter than I am. All right, stop geaking

0:14:11.160 --> 0:14:12.760
<v Speaker 1>out for a second. Okay, I'm sorry, I will. I

0:14:12.760 --> 0:14:14.640
<v Speaker 1>will give you a quote from her. As a matter

0:14:14.640 --> 0:14:17.400
<v Speaker 1>of fact, she uh, she compared to Jacquard's looms. If

0:14:17.400 --> 0:14:20.560
<v Speaker 1>you will remember we've mentioned that machine a couple of

0:14:20.600 --> 0:14:23.320
<v Speaker 1>times on the podcast I Believe UM. This was a

0:14:23.560 --> 0:14:29.400
<v Speaker 1>loom that was invented by uh Monsieur Jacquard, and UM

0:14:30.080 --> 0:14:32.560
<v Speaker 1>basically made a lot of people unhappy because it used

0:14:32.600 --> 0:14:36.080
<v Speaker 1>punch cards to automate parts of the weaving process. You

0:14:36.080 --> 0:14:38.000
<v Speaker 1>could put in a pattern, a card for a pattern

0:14:38.040 --> 0:14:41.360
<v Speaker 1>in the loom would be able to weave that pattern

0:14:41.440 --> 0:14:45.560
<v Speaker 1>into the fabric. While she said, um, we may say

0:14:45.680 --> 0:14:49.640
<v Speaker 1>most aptly that the analytical engine weaves algebraical patterns just

0:14:49.680 --> 0:14:54.320
<v Speaker 1>as the Jacquard loom weaves flowers and leaves. So see,

0:14:54.360 --> 0:14:56.320
<v Speaker 1>there you go, there's that whole poetry thing she's you know,

0:14:56.560 --> 0:14:59.840
<v Speaker 1>that's just in there. Yeah. Well, and and like I said,

0:15:00.080 --> 0:15:04.000
<v Speaker 1>even if you even if you ignore the language, and

0:15:04.160 --> 0:15:07.280
<v Speaker 1>Ada was very gifted with with words, just as she

0:15:07.360 --> 0:15:10.640
<v Speaker 1>was with mathematics. Um, the fact that she could see

0:15:11.080 --> 0:15:15.600
<v Speaker 1>the poetry in in math is again very phenomenal to me. Well,

0:15:15.600 --> 0:15:18.320
<v Speaker 1>I meant that she was making connections between something that

0:15:18.360 --> 0:15:21.920
<v Speaker 1>was completely, well not completely, but in wide in a

0:15:21.920 --> 0:15:24.480
<v Speaker 1>wide way. It was, it was not very related directly

0:15:24.560 --> 0:15:29.400
<v Speaker 1>to this analytical engine. Uh. Also you might notice, Um,

0:15:29.480 --> 0:15:32.480
<v Speaker 1>she sort of foresaw the use of punch cards uh,

0:15:32.640 --> 0:15:35.280
<v Speaker 1>to be used for programs. So she's already thinking in

0:15:35.280 --> 0:15:38.840
<v Speaker 1>a programmatic sense. Yeah. Actually, U Babbage himself talked a

0:15:38.840 --> 0:15:41.600
<v Speaker 1>little bit about punch cards when he wrote about his

0:15:41.640 --> 0:15:46.520
<v Speaker 1>analytical engine. Um. Yeah, and in his sense. He was

0:15:46.560 --> 0:15:50.200
<v Speaker 1>talking about the the use for punch cards for two purposes.

0:15:50.200 --> 0:15:53.760
<v Speaker 1>And we've talked about this. Babbage also we we shouldn't

0:15:53.800 --> 0:15:56.960
<v Speaker 1>we shouldn't know. He's leave him out of this amazing

0:15:57.000 --> 0:16:01.720
<v Speaker 1>innovation as well. Babbage was also amazing in his ability

0:16:01.800 --> 0:16:06.280
<v Speaker 1>to foresee the future as far as computers are concerned. Now, granted,

0:16:06.960 --> 0:16:10.080
<v Speaker 1>his devices were all mechanical as opposed to electrical, yes,

0:16:10.240 --> 0:16:16.080
<v Speaker 1>but they the principles of electronic computing are based very

0:16:16.160 --> 0:16:21.440
<v Speaker 1>firmly on Babbage's discoveries. Um Babbage foresaw the use of

0:16:21.720 --> 0:16:26.240
<v Speaker 1>punch cards using two different kinds of punch cards. One

0:16:26.240 --> 0:16:29.280
<v Speaker 1>would be a set of instructions and the other would

0:16:29.280 --> 0:16:33.720
<v Speaker 1>be would represent the constants or variables of whatever formula

0:16:33.760 --> 0:16:36.160
<v Speaker 1>you're plugging in. Right, So one is the program and

0:16:36.160 --> 0:16:37.840
<v Speaker 1>the other is the information that you plug into the

0:16:37.880 --> 0:16:41.080
<v Speaker 1>program to get a results. Exactly same sort of thing

0:16:41.080 --> 0:16:44.320
<v Speaker 1>that we see in microprocessors today. What Babbage was doing

0:16:44.480 --> 0:16:49.920
<v Speaker 1>was was the the precursor to the micro processor. It's

0:16:49.960 --> 0:16:53.160
<v Speaker 1>just his was a macro processor because it was enormous

0:16:53.160 --> 0:16:55.400
<v Speaker 1>and weighed tons and tons. If he had ever managed

0:16:55.440 --> 0:16:58.000
<v Speaker 1>to actually build it at the size of that silicon

0:16:58.000 --> 0:17:01.600
<v Speaker 1>waver yeah, he never He never did build the analytical engine.

0:17:01.600 --> 0:17:03.880
<v Speaker 1>He did, he realized during his lifetime that it was

0:17:03.920 --> 0:17:05.399
<v Speaker 1>not going to happen, and I'm sure it was a

0:17:05.440 --> 0:17:09.120
<v Speaker 1>massive disappointment to him. But they have been made since. Yes,

0:17:09.160 --> 0:17:12.600
<v Speaker 1>there was one created almost like an art project in

0:17:12.640 --> 0:17:15.399
<v Speaker 1>the early nineties, and um fun I think it's in

0:17:15.440 --> 0:17:17.359
<v Speaker 1>a museum now, right, Yeah, Actually, I think I think

0:17:17.400 --> 0:17:20.280
<v Speaker 1>there may be two. To be honest, I think it's

0:17:20.280 --> 0:17:22.160
<v Speaker 1>one of the things that I ran across a mention

0:17:22.240 --> 0:17:24.840
<v Speaker 1>of as I was looking specifically for information about it

0:17:24.920 --> 0:17:26.639
<v Speaker 1>to lovel so I didn't follow it, but yeah, I

0:17:26.640 --> 0:17:28.600
<v Speaker 1>think I think I saw that there were two in

0:17:28.680 --> 0:17:31.960
<v Speaker 1>existence now that had been created just because you can

0:17:32.600 --> 0:17:35.920
<v Speaker 1>and and Babbage actually wrote that the analytical engine would

0:17:36.320 --> 0:17:41.320
<v Speaker 1>eventually contain an apparatus for printing on paper or if required,

0:17:41.440 --> 0:17:44.919
<v Speaker 1>up to two copies printed out on paper, and that

0:17:44.960 --> 0:17:48.040
<v Speaker 1>puts it ahead of the iPad. I'm kidding their software

0:17:48.040 --> 0:17:51.639
<v Speaker 1>for that. It would have a means for producing a

0:17:51.720 --> 0:17:55.920
<v Speaker 1>stereotype mold of the tables or results it computes, and

0:17:56.000 --> 0:17:59.040
<v Speaker 1>it would have a mechanism for punching on blank pasteboard

0:17:59.280 --> 0:18:02.479
<v Speaker 1>cards or metal plates the numerical results of any of

0:18:02.480 --> 0:18:05.800
<v Speaker 1>its computations. So in other words, you would read it

0:18:06.240 --> 0:18:08.159
<v Speaker 1>by looking at a punch card. You would find the

0:18:08.200 --> 0:18:11.040
<v Speaker 1>results of whatever it was that you were trying to

0:18:11.400 --> 0:18:17.800
<v Speaker 1>uh to calculate. And the his his method of designating

0:18:17.920 --> 0:18:21.200
<v Speaker 1>a punch card was actually pretty simple. The each punch

0:18:21.240 --> 0:18:26.840
<v Speaker 1>card had um had several columns of holes or or

0:18:27.080 --> 0:18:30.760
<v Speaker 1>columns where you could punch a hole uh and ten rows.

0:18:32.080 --> 0:18:35.639
<v Speaker 1>And if you punched the top hole, that would be

0:18:35.640 --> 0:18:38.560
<v Speaker 1>a one. If you punched the top two that would

0:18:38.560 --> 0:18:40.320
<v Speaker 1>be a two, if you punched the top three that

0:18:40.359 --> 0:18:43.280
<v Speaker 1>would be a three. So this isn't binary, you see

0:18:43.280 --> 0:18:46.360
<v Speaker 1>what I'm saying. Yes, so it was a very simple way.

0:18:46.359 --> 0:18:48.600
<v Speaker 1>You would look at the punch card and you would say,

0:18:48.600 --> 0:18:51.000
<v Speaker 1>all right, well the first number is a three because

0:18:51.000 --> 0:18:52.800
<v Speaker 1>the first three holes are punched. That kind of thing.

0:18:52.920 --> 0:18:57.080
<v Speaker 1>That made it pretty easy to read. But again, Babbage

0:18:57.119 --> 0:18:59.439
<v Speaker 1>was just thinking in terms of numbers. Lovelace was the

0:18:59.440 --> 0:19:03.040
<v Speaker 1>one who was thinking in terms of graphics, music, that

0:19:03.119 --> 0:19:08.639
<v Speaker 1>kind of thing. And then Lovelace comes up with a

0:19:08.760 --> 0:19:12.680
<v Speaker 1>kind of a test. She she writes out a program

0:19:12.800 --> 0:19:18.840
<v Speaker 1>essentially based on Babbage's UH design for the analytical engine.

0:19:18.840 --> 0:19:21.920
<v Speaker 1>Now this engine again did not physically exist at this point,

0:19:22.200 --> 0:19:25.359
<v Speaker 1>in fact, that it never existed during his life and

0:19:25.359 --> 0:19:31.080
<v Speaker 1>and and Lovelace predeceased Babbage. So Lovelace looks at this

0:19:31.160 --> 0:19:34.920
<v Speaker 1>design and she says, you know what, let's just take

0:19:35.560 --> 0:19:40.840
<v Speaker 1>one uh one mathematical algorithm, and I will design a

0:19:40.840 --> 0:19:45.640
<v Speaker 1>program for this engine that would fulfill this algorithm. So

0:19:45.720 --> 0:19:50.800
<v Speaker 1>she decides to create a program that would generate Bernoulli numbers.

0:19:51.440 --> 0:19:53.560
<v Speaker 1>I would like to explain to you what a Bernoulli

0:19:53.640 --> 0:19:57.760
<v Speaker 1>number is, Honestly, I would like to, but I'm an

0:19:57.760 --> 0:20:02.439
<v Speaker 1>English major, and seriously, I looked at Bernoulli numbers. I

0:20:02.480 --> 0:20:06.200
<v Speaker 1>looked up five or six different explanations, and really it's

0:20:06.240 --> 0:20:09.359
<v Speaker 1>just a it's it's a level of mathematics with which

0:20:09.359 --> 0:20:13.440
<v Speaker 1>I am not comfortable. So I cannot even explain. Um,

0:20:13.480 --> 0:20:18.800
<v Speaker 1>they're generated through the through a simple algorithm, relatively simple algorithm,

0:20:18.840 --> 0:20:22.480
<v Speaker 1>and um, Lovelace was able to create a program that

0:20:22.520 --> 0:20:26.520
<v Speaker 1>would have generated Bernoulli numbers through the analytic engine had

0:20:26.520 --> 0:20:29.680
<v Speaker 1>it ever been built. So I would say that, yes,

0:20:29.720 --> 0:20:33.720
<v Speaker 1>you can call her the first computer programmer definitely. So um, yeah,

0:20:33.760 --> 0:20:36.480
<v Speaker 1>I admit, it's been a long time since, uh, since

0:20:36.520 --> 0:20:40.040
<v Speaker 1>I took calculus to more than twenty years now. But yeah,

0:20:40.080 --> 0:20:44.840
<v Speaker 1>the Bernoulli numbers were named for Jaco Bernoulli, who published

0:20:45.359 --> 0:20:47.760
<v Speaker 1>Actually the work was published after his death, was published

0:20:47.920 --> 0:20:51.520
<v Speaker 1>in seventeen um and based on the and that was

0:20:52.000 --> 0:20:55.000
<v Speaker 1>in the art I hope I probably am not pronouncing

0:20:55.040 --> 0:21:00.040
<v Speaker 1>this right ours conject CONDI or yeah. Anyway, anyway, it

0:21:00.080 --> 0:21:03.159
<v Speaker 1>was published by Mr Bernouilli, who was one of several

0:21:03.160 --> 0:21:06.439
<v Speaker 1>in his family to work with math um. But the

0:21:06.440 --> 0:21:09.159
<v Speaker 1>Bernouilli numbers are very very important because they can be

0:21:09.320 --> 0:21:12.920
<v Speaker 1>used in a lot of different ways related to number

0:21:13.000 --> 0:21:15.920
<v Speaker 1>theory and trigger a metric functions as well. But yes,

0:21:16.000 --> 0:21:18.760
<v Speaker 1>number theory, I mean we're talking about a lot of

0:21:18.800 --> 0:21:21.639
<v Speaker 1>pure mathematics here. Yeah, it's it's basically has to deal

0:21:21.680 --> 0:21:24.439
<v Speaker 1>with the consecutive integers and and the way the sums

0:21:24.480 --> 0:21:28.320
<v Speaker 1>of powers are calculated. Yeah, I read that, and um

0:21:29.840 --> 0:21:33.000
<v Speaker 1>sure yea. Also, I should also point out before anyone

0:21:33.040 --> 0:21:35.680
<v Speaker 1>writes in uh, he was not the first, He was

0:21:35.720 --> 0:21:38.840
<v Speaker 1>not the only person to discover this principle. Well, I

0:21:38.880 --> 0:21:41.639
<v Speaker 1>mean this is a time of people who were discovering

0:21:41.680 --> 0:21:43.720
<v Speaker 1>things at the same time. Right at the same time,

0:21:43.760 --> 0:21:47.879
<v Speaker 1>there was two different forms of I want to say

0:21:48.400 --> 0:21:51.600
<v Speaker 1>it was a Japanese scholar who discovered it, and also

0:21:52.600 --> 0:21:55.199
<v Speaker 1>his work was published after he passed away, and it

0:21:55.240 --> 0:22:00.119
<v Speaker 1>was published in seventeen twelve, one year before. But they

0:22:00.200 --> 0:22:02.800
<v Speaker 1>probably discovered it around the same time. Yeah, because this

0:22:02.880 --> 0:22:06.400
<v Speaker 1>was actually almost ten years I think after Bernoulli's death,

0:22:06.560 --> 0:22:10.720
<v Speaker 1>so it would have been back concurrently, simultaneous, concurrently side

0:22:10.720 --> 0:22:13.960
<v Speaker 1>of time. I was sorry, that would have peditively redundant. Well,

0:22:14.320 --> 0:22:16.920
<v Speaker 1>it's hard to say he was first, but they were

0:22:16.960 --> 0:22:19.600
<v Speaker 1>around the same time, just as you know, in the

0:22:20.000 --> 0:22:23.879
<v Speaker 1>immediately preceding years we have the calculus being conceived of.

0:22:23.920 --> 0:22:26.080
<v Speaker 1>It's fast. It must have been a really heavy time

0:22:26.080 --> 0:22:30.440
<v Speaker 1>for mathematicians. And uh so, yeah, I mean the fact

0:22:30.480 --> 0:22:33.720
<v Speaker 1>that that Lovelace was able to you know, she she

0:22:33.800 --> 0:22:37.280
<v Speaker 1>knew of course about this um the algorithm to generate

0:22:37.320 --> 0:22:41.800
<v Speaker 1>Bernoulli numbers, and was able to program a you know

0:22:41.920 --> 0:22:44.159
<v Speaker 1>this this is all more or less a thought experiment,

0:22:44.240 --> 0:22:47.200
<v Speaker 1>because again nothing existed with which on upon which she

0:22:47.240 --> 0:22:49.560
<v Speaker 1>could run this program. But she was able to create

0:22:49.600 --> 0:22:52.680
<v Speaker 1>a program that would have generated Bernoulli numbers based upon

0:22:52.800 --> 0:22:56.879
<v Speaker 1>the way that the analytical engine would have worked. So

0:22:57.359 --> 0:23:02.440
<v Speaker 1>the fact that one she understood this, which all by

0:23:02.440 --> 0:23:05.040
<v Speaker 1>itself is pretty amazing to me because I mean in

0:23:05.080 --> 0:23:08.679
<v Speaker 1>the sense that I find it completely incomprehensible too. She

0:23:08.800 --> 0:23:11.720
<v Speaker 1>was able to write a program for something that only

0:23:11.760 --> 0:23:15.200
<v Speaker 1>existed in theory. I mean, and and she had a

0:23:15.240 --> 0:23:17.560
<v Speaker 1>lot of influence with Babbage. The two of them together

0:23:18.359 --> 0:23:22.080
<v Speaker 1>really kind of shaped the analytical engine. And they would

0:23:22.119 --> 0:23:25.800
<v Speaker 1>find errors in each other's work. So it wasn't like

0:23:25.800 --> 0:23:28.880
<v Speaker 1>like Babbage would make mistakes because he's human and Lovelace

0:23:28.880 --> 0:23:31.000
<v Speaker 1>would find them. And sometimes love Lace would make mistakes

0:23:31.040 --> 0:23:32.960
<v Speaker 1>and Babbage would find them. They had a very long

0:23:33.040 --> 0:23:38.560
<v Speaker 1>history of correspondence. Um. And also a web comic. Yes, yeah,

0:23:38.600 --> 0:23:43.320
<v Speaker 1>we have to mention that the Lovelace and Babbage web comic. Oh,

0:23:43.359 --> 0:23:46.199
<v Speaker 1>this guy's do a search on on the web for

0:23:46.280 --> 0:23:49.400
<v Speaker 1>the Lovelace and Babbage web comic, because it is phenomenal.

0:23:50.240 --> 0:23:53.480
<v Speaker 1>I think it's a it's a very playful, tongue in

0:23:53.560 --> 0:23:56.520
<v Speaker 1>cheek tribute to these two individuals. But I think it's

0:23:56.560 --> 0:23:59.480
<v Speaker 1>also you can tell it's it's made out of love,

0:24:00.200 --> 0:24:02.320
<v Speaker 1>I mean that kind of effort to go into two

0:24:02.359 --> 0:24:07.720
<v Speaker 1>and and it's great art, it's great writing. Um. It

0:24:07.800 --> 0:24:10.800
<v Speaker 1>kind of picks up on the presumption of Lovelace and

0:24:10.800 --> 0:24:14.840
<v Speaker 1>Babbage becoming kind of like a crime fighters using computational

0:24:15.040 --> 0:24:18.320
<v Speaker 1>in the the the analytical engine to to defeat crime

0:24:18.359 --> 0:24:21.760
<v Speaker 1>and solve mysteries. And what does sort of sound like

0:24:22.040 --> 0:24:24.240
<v Speaker 1>the like it should be a Hanna Barbera show or

0:24:24.280 --> 0:24:27.520
<v Speaker 1>something kind of, but the arts better. So yeah, no,

0:24:27.640 --> 0:24:30.760
<v Speaker 1>it's really great stuff. I definitely recommend it. And you know,

0:24:31.680 --> 0:24:36.160
<v Speaker 1>you know why we got these these emails so close together, right,

0:24:36.440 --> 0:24:40.840
<v Speaker 1>why is that? It's because of Ada Lovelace Day. Ah. Yeah, Now,

0:24:40.840 --> 0:24:43.440
<v Speaker 1>the very first Aida Lovelace Day was held on the

0:24:43.480 --> 0:24:46.600
<v Speaker 1>March two thousand nine, and they had another one this

0:24:46.680 --> 0:24:51.760
<v Speaker 1>year again March. And um, you can find information about

0:24:51.800 --> 0:24:55.040
<v Speaker 1>Ada Lovelace Day on Facebook, on on the web in general.

0:24:55.440 --> 0:24:59.000
<v Speaker 1>There's a Twitter feed for called finding Ada and Ada

0:24:59.119 --> 0:25:02.679
<v Speaker 1>is a d A, so it's all one word finding Ada. Um,

0:25:02.760 --> 0:25:04.879
<v Speaker 1>and they try and get people to sign a pledge

0:25:04.880 --> 0:25:08.320
<v Speaker 1>to blog about Ada Lovelace and kind of increased public

0:25:08.320 --> 0:25:11.040
<v Speaker 1>awareness of who this woman was and what she accomplished

0:25:11.520 --> 0:25:17.200
<v Speaker 1>and how really amazing you know she was. And um,

0:25:17.359 --> 0:25:22.400
<v Speaker 1>there if you look at contemporary records of Lovelace, Uh,

0:25:22.400 --> 0:25:24.760
<v Speaker 1>it's it's a little for me, it's a little discomforting

0:25:24.880 --> 0:25:29.200
<v Speaker 1>because it's it's almost dismissive. It's like she's amazing despite

0:25:29.240 --> 0:25:31.760
<v Speaker 1>the fact that she's a woman, I mean, which is

0:25:31.880 --> 0:25:36.680
<v Speaker 1>of course indicative of the the general philosophy of the era, right,

0:25:37.160 --> 0:25:40.280
<v Speaker 1>but I mean it's you know, you I ignore that

0:25:40.320 --> 0:25:45.280
<v Speaker 1>because this woman was just phenomenal, period, absolutely brilliant. Yeah. Yeah,

0:25:45.320 --> 0:25:47.600
<v Speaker 1>And uh, I should point out too that that's not

0:25:47.640 --> 0:25:50.560
<v Speaker 1>the only time she's been honored, um, you know, and

0:25:50.600 --> 0:25:53.120
<v Speaker 1>recognized for her work. Uh the As a matter of fact,

0:25:53.280 --> 0:25:56.399
<v Speaker 1>oddly enough, the United States Department of Defense honored her

0:25:56.520 --> 0:26:02.800
<v Speaker 1>with her own program, own programming language in nine. So

0:26:02.880 --> 0:26:05.080
<v Speaker 1>she's I think she's fascinating enough that she just sort

0:26:05.080 --> 0:26:07.000
<v Speaker 1>of keeps popping up in history from time to time.

0:26:07.000 --> 0:26:09.159
<v Speaker 1>People get fascinated and want to learn more about her

0:26:09.160 --> 0:26:13.359
<v Speaker 1>and every reason. She's absolutely brilliant, lating anyone, anyone who

0:26:13.440 --> 0:26:17.040
<v Speaker 1>has a computer science background has heard of her just

0:26:17.160 --> 0:26:21.240
<v Speaker 1>from their their studies. But yeah, I can't help but

0:26:21.400 --> 0:26:25.439
<v Speaker 1>feel that had she not had cancer, had she been

0:26:25.480 --> 0:26:29.159
<v Speaker 1>able to to live on and continue her work, um,

0:26:29.200 --> 0:26:31.800
<v Speaker 1>that possibly the era of computers would have come a

0:26:31.880 --> 0:26:35.480
<v Speaker 1>little faster. Now it's the main thing that would have

0:26:35.520 --> 0:26:38.640
<v Speaker 1>had to have happened was that the combination of Lovelace

0:26:38.680 --> 0:26:42.240
<v Speaker 1>and Babbage's work would together would have to convince people

0:26:42.359 --> 0:26:47.280
<v Speaker 1>to invest in completing the analytical engine. Um, because of

0:26:47.280 --> 0:26:50.320
<v Speaker 1>course they didn't have the resources at their disposal to

0:26:50.320 --> 0:26:53.400
<v Speaker 1>create an electrical computer that would still it would still

0:26:53.400 --> 0:26:57.000
<v Speaker 1>have been a mechanical instrument, and who knows how sophisticated

0:26:57.160 --> 0:27:00.320
<v Speaker 1>it ultimately would have been. It Maybe that her vision

0:27:00.480 --> 0:27:04.640
<v Speaker 1>of of mathematics representing music and graphics and that sort

0:27:04.680 --> 0:27:07.679
<v Speaker 1>of thing would take longer and possibly a totally different

0:27:07.680 --> 0:27:11.320
<v Speaker 1>form factor than the analytical engine, but we might compute

0:27:11.400 --> 0:27:13.639
<v Speaker 1>completely differently than we do now. Yeah, who knows. It

0:27:13.680 --> 0:27:16.200
<v Speaker 1>could have been a very steampunk kind of a kind

0:27:16.200 --> 0:27:21.600
<v Speaker 1>of future. Right. Well, I hope we did justice to

0:27:22.320 --> 0:27:24.919
<v Speaker 1>uh to aid a Lovelace again, And if you want

0:27:24.960 --> 0:27:27.240
<v Speaker 1>to know more about her as a person, definitely check

0:27:27.280 --> 0:27:30.840
<v Speaker 1>out the stuffy Missing History class. Yes they do, they do.

0:27:30.920 --> 0:27:33.119
<v Speaker 1>It's an excellent job. Yeah, we I listened to it

0:27:33.160 --> 0:27:36.520
<v Speaker 1>before we did this podcast, and UH and and Katie

0:27:36.560 --> 0:27:38.560
<v Speaker 1>and Sarah really do a great job at giving an

0:27:38.600 --> 0:27:42.120
<v Speaker 1>idea of what her life was like, and especially her

0:27:42.119 --> 0:27:46.600
<v Speaker 1>relationship with her mother, which was a very complex relationship. Um.

0:27:46.640 --> 0:27:50.480
<v Speaker 1>And sometimes combat of but it's a it's an interesting story,

0:27:50.560 --> 0:27:55.119
<v Speaker 1>kind of tragic ultimately, but definitely helps shape the way

0:27:56.040 --> 0:28:00.520
<v Speaker 1>the history of computers. And since that wraps up that discussion,

0:28:00.560 --> 0:28:02.840
<v Speaker 1>I thought we'd go on too a little listener mail.

0:28:07.840 --> 0:28:10.720
<v Speaker 1>This listener mail comes from Johnny, and Johnny says, Hey, guys,

0:28:10.760 --> 0:28:13.080
<v Speaker 1>I heard that Stuff you Should Know is making T shirts.

0:28:13.240 --> 0:28:15.320
<v Speaker 1>How about we have a T shirt contest? Also, you

0:28:15.359 --> 0:28:17.920
<v Speaker 1>said in your Microchip podcast that you guys were related

0:28:17.960 --> 0:28:20.399
<v Speaker 1>to the Science Channel. What's going on here? Is there

0:28:20.440 --> 0:28:22.800
<v Speaker 1>any other things that how Stuff works is related to?

0:28:23.040 --> 0:28:26.119
<v Speaker 1>Thanks well, Johnny. UM. As for the T shirt thing,

0:28:26.160 --> 0:28:28.400
<v Speaker 1>I wouldn't hold my breath right now. Stuff you Should

0:28:28.440 --> 0:28:31.240
<v Speaker 1>Know is by far our most popular podcast, and of

0:28:31.280 --> 0:28:35.600
<v Speaker 1>course has the the biggest audience, which is fantastic, great show. UM,

0:28:35.640 --> 0:28:38.400
<v Speaker 1>And so we've kind of we're kind of trying to

0:28:38.400 --> 0:28:41.200
<v Speaker 1>see how that goes before we do any other kind

0:28:41.240 --> 0:28:44.280
<v Speaker 1>of T shirt stuff. We'll definitely keep it in mind,

0:28:44.320 --> 0:28:47.360
<v Speaker 1>but I'm I'm not gonna I don't I don't see

0:28:47.360 --> 0:28:50.480
<v Speaker 1>it happening in the near future. However, you did ask

0:28:50.640 --> 0:28:54.640
<v Speaker 1>what our relationship was to the Science Channel. You want

0:28:54.640 --> 0:28:57.040
<v Speaker 1>to take that one, Chris well, of course we are

0:28:57.120 --> 0:29:01.160
<v Speaker 1>a part of Discovery Communication, right. Uh, and there are

0:29:01.240 --> 0:29:04.720
<v Speaker 1>lots and lots of really awesome TV channels and websites

0:29:05.120 --> 0:29:08.720
<v Speaker 1>related to that, like the Discovery Channel, Science Channel, TLC,

0:29:09.360 --> 0:29:13.480
<v Speaker 1>Planet Green and well Planet Right and all those guys. Yeah,

0:29:13.560 --> 0:29:17.200
<v Speaker 1>so sites like tree hugger dot com. Right awesome. Yeah,

0:29:17.320 --> 0:29:19.400
<v Speaker 1>so we're part of a really big family. And that's

0:29:19.440 --> 0:29:23.280
<v Speaker 1>what Pilette meant when he said that, Uh, the Science

0:29:23.360 --> 0:29:25.520
<v Speaker 1>Channel was kind of related to us. We're all kind

0:29:25.520 --> 0:29:30.360
<v Speaker 1>of under the umbrella Discovery Communications. So um, hopefully that

0:29:30.400 --> 0:29:33.200
<v Speaker 1>answers your question. If any of you have any other questions,

0:29:33.280 --> 0:29:36.680
<v Speaker 1>send them into us. Our email address is tech stuff

0:29:36.800 --> 0:29:39.520
<v Speaker 1>at how stuff works dot com and Chris and I

0:29:39.520 --> 0:29:45.320
<v Speaker 1>will taught to you again really soon for more on

0:29:45.400 --> 0:29:47.880
<v Speaker 1>this and thousands of other topics. Does it how stuff

0:29:47.880 --> 0:29:50.080
<v Speaker 1>works dot com and be sure to check out the

0:29:50.080 --> 0:29:53.520
<v Speaker 1>new tech stuff blog now on the house stuff Works homepage,

0:29:57.800 --> 0:30:00.440
<v Speaker 1>brought to you by the reinvented two thousand twelve Camry.

0:30:00.640 --> 0:30:01.800
<v Speaker 1>It's ready, are you