WEBVTT - A Thing Called Science

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<v Speaker 1>Yeah, welcome to Stuff from the Science Lab from how

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<v Speaker 1>stuff works dot com. Hey guys, and welcome to the podcast.

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<v Speaker 1>This is Alson lamp and the science editor how stuff

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<v Speaker 1>works dot com. And this is Robert Lamb, science writer

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<v Speaker 1>at how stuff works dot com. And uh, we've got

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<v Speaker 1>two pretty big podcasts here that are looped together. Basically,

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<v Speaker 1>we want to talk about the scientific method. It's been requested, um,

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<v Speaker 1>but before we can really talk about scientific method, we

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<v Speaker 1>really need to talk about what science is. And that's

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<v Speaker 1>what we're gonna be talking about today. Yeah. So so, yeah,

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<v Speaker 1>like what what comes to mind when most people think

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<v Speaker 1>of science? Do you think lab coats? Yeah, you know, um,

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<v Speaker 1>potions that are bubbling explosions, Frankenstein, I'm pree associating here. Yeah,

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<v Speaker 1>it often there's often this kind of magical view of it. Yeah,

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<v Speaker 1>that it's just kind of it's kind of like modern magic.

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<v Speaker 1>And certainly, you know, any sufficiently advanced technology is indistinguishable

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<v Speaker 1>from magic. Right, Um, who said that? Who said that?

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<v Speaker 1>It was Clark? Yeah and maybe wrong and you know

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<v Speaker 1>you did he did it? Was? It was it was

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<v Speaker 1>Arthur Clark. Okay, it's actually in that quiz. I did

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<v Speaker 1>the quiz on who said it's Sagan or Creighton and

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<v Speaker 1>then threw in some extra quotes to throw people off. Um.

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<v Speaker 1>But but anyway, yes, science gets uh, it's one of

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<v Speaker 1>those things that exists, and it's so big and it's

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<v Speaker 1>just around is everywhere. You often often it's kind of

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<v Speaker 1>hard to put a finger on exactly what it is,

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<v Speaker 1>you know, and defining it helps people to understand it. Um.

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<v Speaker 1>I think that science can get caught up in, you know,

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<v Speaker 1>as a massive entity, kind of like the media. The

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<v Speaker 1>media are doing the scientists are doing that, whereas scientists

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<v Speaker 1>are carrying out very disparate experiments on very interesting but

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<v Speaker 1>you know, separate causes on everything in the universe, every

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<v Speaker 1>thing that's going on in the natural world. So a

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<v Speaker 1>bit of a mistake to lump everybody together and to

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<v Speaker 1>generalize science. But there are some core concepts that link

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<v Speaker 1>science together. Yeah, now, now that is some of these

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<v Speaker 1>quotes like what is the Oxford American Dictionary science is? Oh,

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<v Speaker 1>start off with a really interesting one. First, science is

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<v Speaker 1>the intellectual and practical activity encompassing the structure and behavior

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<v Speaker 1>of the physical and natural world through observation, experimentation. Yeah,

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<v Speaker 1>I mean that's pretty straightforward. It's it's kind of wordy,

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<v Speaker 1>but yeah, I don't think it gets at the excitement

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<v Speaker 1>behind science or the discovery, yeah, or or just like

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<v Speaker 1>the power and importance. That's why I really like how

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<v Speaker 1>Carl Sagan referred to it as a candle in the dark,

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<v Speaker 1>as a truth that illuminates the quote demon haunted world.

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<v Speaker 1>You know, Um, this thing that extinguishes superstition and shinds

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<v Speaker 1>a light into the dark, explains unknowns, you know. And

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<v Speaker 1>it's I tend to like those definitions that see it

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<v Speaker 1>as this kind of like expanding thing that's bigger than

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<v Speaker 1>all of us, you know, like um, And in thinking

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<v Speaker 1>this over before we went in, I kept thinking about

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<v Speaker 1>about how it kind of amounts to a kind of

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<v Speaker 1>communal intelligence. Yeah. Yeah, because like like even our most

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<v Speaker 1>gifted minds can only perceive and accomplish so much, right,

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<v Speaker 1>we come up against this thing called cognitive closure, like

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<v Speaker 1>the limits of the human mind to understand the universe. Um,

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<v Speaker 1>but if you have minds working in concert with each other,

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<v Speaker 1>you know, if you have minds picking up where others

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<v Speaker 1>left off, standing on the shoulders of giants as who

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<v Speaker 1>has it's Sir Isaac Newton put it in moving forward

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<v Speaker 1>with this some systematic precision, you know, then it just

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<v Speaker 1>expands the limits on what science can accomplish. And it really,

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<v Speaker 1>I truly believe it. You know, it becomes something that's

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<v Speaker 1>bigger than all of us, something that you know, it's

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<v Speaker 1>and that's not scary. That's something that we should be

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<v Speaker 1>proud of. Yeah. Yeah, I mean it can be kind

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<v Speaker 1>of scary if you think of it the wrong way.

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<v Speaker 1>But no, I think in general, it's like it's the Yeah,

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<v Speaker 1>on one hand, it's what makes the humans great, but

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<v Speaker 1>it has empowered humans to do some pretty horrible things.

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<v Speaker 1>But but but either way, it's it's certainly like one

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<v Speaker 1>of the, if not the greatest, things about humanity. So

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<v Speaker 1>let's round at this section with a couple of quotes

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<v Speaker 1>that I really need to get out here. So there's

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<v Speaker 1>Oscar Wilde weighing in on science and he says science

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<v Speaker 1>is the record of dead religions. Yeah. And then there's

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<v Speaker 1>MLK Jr. Who says that science investigates religion, interprets, science

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<v Speaker 1>investigates religion interprets. Science gives man knowledge, which is power,

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<v Speaker 1>religion gives man wisdom, which is controlled. It's pretty good line.

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<v Speaker 1>And then of course Einstein, who says, well, science is

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<v Speaker 1>a wonderful thing. If one does not have to earn

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<v Speaker 1>one's living at it, then em bode well for us,

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<v Speaker 1>does it, especially for one of the sciences brightest minds,

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<v Speaker 1>rock stars, so to speak. So let's get into some

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<v Speaker 1>of these core concepts that define science. Okay, Yeah, and

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<v Speaker 1>this is coming from a wonderful article actually on scientific

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<v Speaker 1>method by William Harris. Yes are our freelancer extraordinaire. And

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<v Speaker 1>and it's there was an old science teacher, Yeah, yeah,

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<v Speaker 1>which comes across in his writing. I think, Yeah, I mean,

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<v Speaker 1>I I mean, as a science teacher, he's constantly like

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<v Speaker 1>taking scientific things, breaking it down for for an audience

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<v Speaker 1>that may not be all that receptive at times, I'm sure.

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<v Speaker 1>So so yeah, comes across in the article and it's

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<v Speaker 1>a really good one, well worth the checking out. But yeah,

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<v Speaker 1>I guess we'll just he divided up and do I

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<v Speaker 1>think seven parts like seven sort of um you know,

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<v Speaker 1>core statements that define what what science is. And I

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<v Speaker 1>thought it worked just really well on the page, so

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<v Speaker 1>we would would stick to that format here in the

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<v Speaker 1>podcast Practicality. Yeah, that's our first one. Let's just throw

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<v Speaker 1>it out there. Science is practical and you might think

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<v Speaker 1>of this, you know, as learning from textbooks, you know,

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<v Speaker 1>hearing a teacher speak, a professor lecture on some subject.

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<v Speaker 1>But really it's focused on discovery, and it's discoveries that active,

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<v Speaker 1>hands on process. It's not something you know, that's just

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<v Speaker 1>isolated to certain scholars tinkering with you know, GC mass

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<v Speaker 1>spec and wondering what they're going to find. It's it's

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<v Speaker 1>all sorts of people in the lab. Yeah, yeah, people

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<v Speaker 1>who practice science for the most part. It's not done

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<v Speaker 1>just because of some sort of love of abstraction or something.

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<v Speaker 1>It's it's you know, what can we what can we get?

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<v Speaker 1>Will ask some some reasonable questions about the world, and

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<v Speaker 1>then let's find a way to answer them. And I

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<v Speaker 1>should mention that, of course we do think of scientists

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<v Speaker 1>being in the lab, but they're very much in the

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<v Speaker 1>field too. Yeah, like the lab is important as what

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<v Speaker 1>we'll get to when we start talking about the actual

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<v Speaker 1>methods you know involved. But but yeah, science, science is

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<v Speaker 1>out there. It's not disconnected from the world. Yeah, it's

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<v Speaker 1>a search for information. It's this really this journey, this

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<v Speaker 1>quest to explain how information fits together in meaningful ways, right, right,

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<v Speaker 1>you know, you get the UM, the guys, the theoretical

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<v Speaker 1>physicists out there, and then you get all of Einstein's

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<v Speaker 1>adherents and they're we're out there working to solve that

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<v Speaker 1>big old physics mystery. Yeah, so let's let's hit up

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<v Speaker 1>point number two, and that is science is based on observation.

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<v Speaker 1>And this is key. It's not again, it's not just

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<v Speaker 1>guys in every tower going I bet frogs do such

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<v Speaker 1>and such because of X. No, it's like people going out,

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<v Speaker 1>let's observe frogs. Let's see what the frog does. Now,

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<v Speaker 1>let's see I the frog does it again. Let's then

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<v Speaker 1>let's see if the frog does it again. And then

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<v Speaker 1>let's see what the if the frog does it again

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<v Speaker 1>under different circumstances, etcetera. You know, it's it's about observing, right,

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<v Speaker 1>and as you get at UM, it's it's about replication

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<v Speaker 1>as well. You know, it's about talking to your colleagues. Hey,

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<v Speaker 1>this is what I noticed this particular species of frog

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<v Speaker 1>could do. And the colleagues says, oh, you know, I'm

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<v Speaker 1>not sure about that. Maybe I'll try that experiment, you know,

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<v Speaker 1>I'll replicate what you did, or maybe I won't replicate

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<v Speaker 1>what you did, maybe my results will be different, maybe

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<v Speaker 1>we'll need to take this in a new direction. And

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<v Speaker 1>that's another big thing. Um, when we were researching this podcast,

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<v Speaker 1>it comes across I think that people can get very

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<v Speaker 1>tied up in science pedantic and following these steps and

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<v Speaker 1>sure we are going through these different parts of science

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<v Speaker 1>and what defines science. But science is creative. Science is innovative. Yes,

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<v Speaker 1>it does have core concepts, but nothing set in stone, right. Yeah.

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<v Speaker 1>I mean that science has has often involved, you know,

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<v Speaker 1>making new discoveries that change centuries old um laws say,

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<v Speaker 1>especially pretending to physics. You know, Newton came I mean

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<v Speaker 1>not Einstein came along and uh, and he changed the

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<v Speaker 1>things that Newton had proposed that had stood the test

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<v Speaker 1>of time. It's also important to note that when we're

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<v Speaker 1>talking about science, we as a society inform what's going on,

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<v Speaker 1>what investigations are being carried out. You know, is there

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<v Speaker 1>an outbreak of Westnile virus, then yes, people are going

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<v Speaker 1>to be concerned and there will be research port into

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<v Speaker 1>investigating the pathology of West Nile virus and uh. And

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<v Speaker 1>that kind of leads into point number three, and that

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<v Speaker 1>is that data reveals the structure of something. What is

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<v Speaker 1>the thing that we're studying, the West nol virus or

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<v Speaker 1>a star or you know, you name it. And that

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<v Speaker 1>often means breaking down into quantitative data. That means describing

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<v Speaker 1>an object numerically um and uh in using some sort

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<v Speaker 1>of like a unit of measurement, so you know it's

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<v Speaker 1>like girl, yeah, or you know, or just miles per hour,

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<v Speaker 1>you know, something as simple as that. You know, we're

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<v Speaker 1>breaking we're getting a unit out and then we're busting

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<v Speaker 1>out some numbers on it and we're quantifying it. But

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<v Speaker 1>quantitative data isn't everything. There's also qualitative data and and

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<v Speaker 1>that can be a little bit trickier to interpret, a

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<v Speaker 1>little bit more of a time suck to gather. Yeah,

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<v Speaker 1>this is point four. But yeah, data can also reveal behavior. Um.

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<v Speaker 1>And you know when you're talking about qualitative data, you're

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<v Speaker 1>really talking about that something that's a written description about

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<v Speaker 1>an object or an organism. It compliments quantitative data. You know,

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<v Speaker 1>it tells you, it gives you really the complete picture.

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<v Speaker 1>You know, what is it made of and how does

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<v Speaker 1>it behave? Yeah, yeah, this is yeah, it really revolves

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<v Speaker 1>around behavior. So it's like, um, we we know what

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<v Speaker 1>the frog looks like we've cut it open, we've seen

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<v Speaker 1>all the insides, but what's it doing? How does it behave?

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<v Speaker 1>Or you know, or just something simple were not as simple,

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<v Speaker 1>but something like light for instance, you know, breaking down

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<v Speaker 1>what light is and then how light behaves in the universe. Yeah,

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<v Speaker 1>so science is also in intellectual pursuit. Yeah, at this

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<v Speaker 1>point number five that that Mr Harris makes and this

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<v Speaker 1>is just making observation. Collecting data are not the ultimate goals.

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<v Speaker 1>Data must be analyzed and used to understand the world

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<v Speaker 1>around us. A data point is only that it's just

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<v Speaker 1>a data point. It takes you, the scientists, to infer

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<v Speaker 1>and draw conclusions and uh, take your research in a

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<v Speaker 1>new direction based on what you find. Right again, and

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<v Speaker 1>this is important to derive generalizations based on specific observations.

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<v Speaker 1>Oh here's here. I like you, and I think a

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<v Speaker 1>lot of people have been in this boat. All right,

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<v Speaker 1>So my cat, biscuit, if you're listening, you know, here's

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<v Speaker 1>a shout out, Hey biscuit, she's not listening. Should never

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<v Speaker 1>listened to any podcast totally. She just doesn't even playing

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<v Speaker 1>in the house when you're gone. No, but I mean

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<v Speaker 1>I asked her about her and she's just like you know.

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<v Speaker 1>But anyway, so so what what is she doing if

0:11:12.080 --> 0:11:14.120
<v Speaker 1>she's not listening to her podcast? Well that instead of

0:11:14.120 --> 0:11:17.040
<v Speaker 1>listening to the podcast, she spends her days like climbing

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<v Speaker 1>up next to the window and doing like a lot

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<v Speaker 1>of cats meeting at birds? What is what do you

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<v Speaker 1>mean by It's not exactly meeting, it's more like, you know,

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<v Speaker 1>they kind of make this little noise that the birds,

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<v Speaker 1>which you know, and you know, and my wife and

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<v Speaker 1>I said around discussing and we're like, well, what does

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<v Speaker 1>it mean? Is she's saying I would eat you if

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<v Speaker 1>there was not glass here, or she's saying I want

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<v Speaker 1>to go to their you know what she saying, I

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<v Speaker 1>want to go to there. Yeah, we didn't mention the

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<v Speaker 1>meat in our how Cats Work article? Did they not?

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<v Speaker 1>I don't think they mentioned the meat. Well that's the

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<v Speaker 1>weird thing because like I have always have a heart.

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<v Speaker 1>That's like a whole different podcast because I can never

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<v Speaker 1>find like really good solid data as to want cats

0:11:53.920 --> 0:11:56.439
<v Speaker 1>do any of the things they do. Um, but anyway,

0:11:56.480 --> 0:12:00.200
<v Speaker 1>so the cats meeting at birch right, so, um, maybe

0:12:00.200 --> 0:12:02.280
<v Speaker 1>all cats meet theater? Do all cats make at birth?

0:12:02.280 --> 0:12:04.559
<v Speaker 1>That's a generalization. And then that would be the generalization

0:12:04.600 --> 0:12:10.440
<v Speaker 1>that one would would investigate. So Edwin hubbell Um, the

0:12:10.480 --> 0:12:13.959
<v Speaker 1>great man behind the Hubble Shift, he observed what he

0:12:14.000 --> 0:12:16.280
<v Speaker 1>thought were a nebula speeding away from what was thought

0:12:16.320 --> 0:12:19.120
<v Speaker 1>to be the universe's only galaxy. Okay, what kind of

0:12:19.120 --> 0:12:21.719
<v Speaker 1>generalization did he get from that? Well, he said, well,

0:12:21.760 --> 0:12:24.520
<v Speaker 1>maybe the universe is made of millions of galaxies and

0:12:24.600 --> 0:12:26.600
<v Speaker 1>all of them are moving away from each other as

0:12:26.640 --> 0:12:31.960
<v Speaker 1>the universe expanded, and and and that was the starting

0:12:32.000 --> 0:12:34.880
<v Speaker 1>point for our under a lot of our current understanding

0:12:34.880 --> 0:12:39.520
<v Speaker 1>of the universe. Right. So hubbles observation, of course, drew

0:12:39.760 --> 0:12:41.640
<v Speaker 1>much more research. And it kind of gets at the

0:12:41.720 --> 0:12:44.040
<v Speaker 1>quote that we put in here as a nice little

0:12:44.160 --> 0:12:46.840
<v Speaker 1>uh close it out on this point by George Bernard Shaw.

0:12:47.520 --> 0:12:50.280
<v Speaker 1>Science it never solves a problem without creating ten more.

0:12:50.600 --> 0:12:54.040
<v Speaker 1>YEA and I. And it seems like you you have kids,

0:12:54.080 --> 0:12:55.880
<v Speaker 1>So I imagine are they they age yet where they

0:12:55.880 --> 0:12:59.000
<v Speaker 1>ask question after question after questions. Okay, so it seems

0:12:59.040 --> 0:13:01.439
<v Speaker 1>like the same thing, right, It's like they ask a question,

0:13:01.440 --> 0:13:05.199
<v Speaker 1>you answered and that stirs you know, numerous other questions. Yes,

0:13:05.240 --> 0:13:08.600
<v Speaker 1>there is an unlimited line of inquiry with children. Well,

0:13:08.760 --> 0:13:12.280
<v Speaker 1>the one who can talk and they do they tend

0:13:12.320 --> 0:13:14.200
<v Speaker 1>Because that's the other thing too, is like the questions.

0:13:14.360 --> 0:13:18.800
<v Speaker 1>Science is about questions getting deeper to right, Like sure, yeah,

0:13:18.880 --> 0:13:22.080
<v Speaker 1>I mean definitely. You think about a child's reasoning. Okay,

0:13:22.080 --> 0:13:24.920
<v Speaker 1>so here might be an exchange. Um, you ask me

0:13:25.840 --> 0:13:28.439
<v Speaker 1>we have to go take a bath now, and the

0:13:28.520 --> 0:13:32.320
<v Speaker 1>kid goes, why don't we have to go ahead in bath? Well,

0:13:32.360 --> 0:13:36.240
<v Speaker 1>because you know, you played outside today and you got dirty.

0:13:36.480 --> 0:13:39.360
<v Speaker 1>And then the kid asked, why did I get dirty? Well,

0:13:39.440 --> 0:13:41.640
<v Speaker 1>you know there's a lot of different Wise, I don't

0:13:41.640 --> 0:13:43.880
<v Speaker 1>know that she's ever asked why am I dirty? But

0:13:44.120 --> 0:13:46.400
<v Speaker 1>it does. Yeah, it just gets deeper and deeper, and

0:13:46.440 --> 0:13:49.720
<v Speaker 1>pretty soon you're you know, tackling these huge questions of

0:13:50.760 --> 0:13:54.439
<v Speaker 1>you know, religion and science, and like it starts off

0:13:54.440 --> 0:13:58.240
<v Speaker 1>to take a bath, and then eventually it's like what

0:13:58.400 --> 0:14:02.559
<v Speaker 1>is time? Mother? And like I don't know, here's the

0:14:02.600 --> 0:14:05.240
<v Speaker 1>shampo go for speaking of time, You're going time out

0:14:05.360 --> 0:14:08.120
<v Speaker 1>unless you get in the bath now. So let's keep

0:14:08.160 --> 0:14:11.600
<v Speaker 1>moving on. Yeah, So moving on to point six, And

0:14:11.600 --> 0:14:14.560
<v Speaker 1>that's that science makes predictions and here's the thing, and

0:14:14.600 --> 0:14:19.000
<v Speaker 1>then then test those predictions using experiments. So like generalizations

0:14:19.000 --> 0:14:21.600
<v Speaker 1>are great, Yeah, and they enable us, but they enables

0:14:21.600 --> 0:14:24.400
<v Speaker 1>to make those predictions and then test them. And that's key.

0:14:24.560 --> 0:14:27.080
<v Speaker 1>Like like, if I was to, uh, you know, the

0:14:27.120 --> 0:14:31.440
<v Speaker 1>generalization about all cats meeting at birds, um, I would

0:14:31.520 --> 0:14:33.400
<v Speaker 1>you know, if I were gonna investigate that, I would

0:14:33.440 --> 0:14:36.720
<v Speaker 1>want to, you know, put it to the test um, Like,

0:14:36.760 --> 0:14:39.080
<v Speaker 1>get a whole bunch of cats together, put them through

0:14:39.160 --> 0:14:41.560
<v Speaker 1>a rigorous testing to see how they respond to birds

0:14:41.600 --> 0:14:43.760
<v Speaker 1>on the other side of glass. You know, which one's

0:14:44.080 --> 0:14:46.160
<v Speaker 1>meat at at birds on this side of glass, which

0:14:46.160 --> 0:14:48.680
<v Speaker 1>one's meat at moths, which one you know, et cetera.

0:14:48.800 --> 0:14:50.720
<v Speaker 1>And you would have to like you and then quantify

0:14:50.760 --> 0:14:52.840
<v Speaker 1>all the data, and you have to control for all

0:14:52.880 --> 0:14:56.240
<v Speaker 1>the interesting variables going on. There Are there some long

0:14:56.280 --> 0:14:59.040
<v Speaker 1>haired cats in the mix, Are there some katies and

0:14:59.160 --> 0:15:01.280
<v Speaker 1>some old cat Are some of the cats missing their

0:15:01.280 --> 0:15:05.400
<v Speaker 1>eyes so perhaps they don't see the bird? Are they

0:15:05.480 --> 0:15:07.440
<v Speaker 1>meeting a different birds? Are all sorts of ways you

0:15:07.440 --> 0:15:09.880
<v Speaker 1>could set up this experiment which would probably draw more

0:15:09.920 --> 0:15:15.000
<v Speaker 1>experiments and more funding. Cool, Okay, And then finally point

0:15:15.080 --> 0:15:19.600
<v Speaker 1>seven science is systematic. Yeah, if you want to check

0:15:19.640 --> 0:15:22.200
<v Speaker 1>out why cats are meeting at birds, you really got

0:15:22.200 --> 0:15:24.120
<v Speaker 1>to make it systematic. Otherwise no one's going to take

0:15:24.120 --> 0:15:27.720
<v Speaker 1>you credibly. It's kind of like going back to the

0:15:28.200 --> 0:15:31.560
<v Speaker 1>like scientists is ever expanding thing. I like that. I

0:15:31.640 --> 0:15:33.200
<v Speaker 1>sometimes like to think of it in terms of, say,

0:15:33.280 --> 0:15:35.560
<v Speaker 1>like imagine an army on a battlefield and they're going

0:15:35.600 --> 0:15:40.000
<v Speaker 1>to say, take this next hill, you know, or achieve

0:15:40.080 --> 0:15:42.400
<v Speaker 1>this next tactical victory. They like point to the place

0:15:42.440 --> 0:15:43.800
<v Speaker 1>on the map. It's like, all right, we're going to

0:15:44.000 --> 0:15:46.840
<v Speaker 1>we're going to take this area. And then they have

0:15:46.880 --> 0:15:48.560
<v Speaker 1>to sit down and figure out strategy. Right, how do

0:15:48.640 --> 0:15:50.600
<v Speaker 1>we take that area? You know? How do you We

0:15:50.640 --> 0:15:52.000
<v Speaker 1>can't just march out into it. You can have to

0:15:52.040 --> 0:15:54.480
<v Speaker 1>have a plan and uh. And that's part of the

0:15:54.680 --> 0:15:57.360
<v Speaker 1>systematic aspect of science. Like science is like a finely

0:15:57.480 --> 0:16:01.440
<v Speaker 1>tuned army, you know, And it's with ever changing tactics,

0:16:01.480 --> 0:16:05.000
<v Speaker 1>ever changing tactics. You know. Well some some core tactics

0:16:05.000 --> 0:16:06.560
<v Speaker 1>that remained us sitting the same, which we're going to

0:16:06.600 --> 0:16:08.680
<v Speaker 1>get to in the next in the in the next

0:16:08.720 --> 0:16:11.920
<v Speaker 1>podcast scientific methods. Okay, the tactics can change, but some

0:16:12.280 --> 0:16:15.360
<v Speaker 1>remain true form. But also I mean goals differ, of course,

0:16:15.400 --> 0:16:19.520
<v Speaker 1>the laws change. Yeah. I like your battlefield experiment. I'll

0:16:19.520 --> 0:16:21.680
<v Speaker 1>give it to you. That's one of my more favorite analogies.

0:16:21.680 --> 0:16:24.440
<v Speaker 1>It doesn't it doesn't fall aparties quickly with some of them. Yeah,

0:16:25.320 --> 0:16:27.000
<v Speaker 1>So yeah, that's what we're gonna talk about. We're gonna

0:16:27.000 --> 0:16:29.200
<v Speaker 1>talk about how all these parts fit together in the

0:16:29.240 --> 0:16:32.280
<v Speaker 1>scientific method for our next podcast, So be sure to

0:16:32.320 --> 0:16:35.920
<v Speaker 1>listen in as we get into, uh what the scientific

0:16:35.960 --> 0:16:37.600
<v Speaker 1>method is. And I bet you guys probably have a

0:16:37.640 --> 0:16:40.520
<v Speaker 1>good idea. And we will also be taking you through

0:16:40.520 --> 0:16:43.960
<v Speaker 1>a little experiment that we devised on our own involving

0:16:44.480 --> 0:16:50.400
<v Speaker 1>perhaps some putting pops and somebody's stealing them. We'll see

0:16:50.320 --> 0:16:52.520
<v Speaker 1>you tune in next time. Yeah, And if you guys

0:16:52.520 --> 0:16:54.120
<v Speaker 1>have a favorite science quote that you want to share

0:16:54.120 --> 0:16:55.920
<v Speaker 1>with us, be sure to send it to us at

0:16:55.960 --> 0:16:58.640
<v Speaker 1>science stuff at how stuff works dot com. And if

0:16:58.680 --> 0:17:00.160
<v Speaker 1>you want to go over to the site and check

0:17:00.160 --> 0:17:03.400
<v Speaker 1>out Bill Harris's article on scientific method, go ahead and

0:17:03.400 --> 0:17:13.080
<v Speaker 1>do that too. Thanks for listening for more on this

0:17:13.280 --> 0:17:15.800
<v Speaker 1>and thousands of other topics. Does it how stuff works

0:17:15.800 --> 0:17:19.239
<v Speaker 1>dot com. Want more how stuff works, check out our

0:17:19.240 --> 0:17:21.679
<v Speaker 1>blogs on the house stuff works dot com home page.