WEBVTT - The Scientific Method

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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 Alison I don't know if, the science editor

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<v Speaker 1>at how staff works dot com. And this is Robert Lamb,

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<v Speaker 1>science writerer at how stuff works dot com. And this

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<v Speaker 1>is part two of a two parter. Last episode, um

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<v Speaker 1>thing called science. We talked about what science is in

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<v Speaker 1>very sort of broad general terms, um, you know, defining

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<v Speaker 1>this thing called science and what it, what it means,

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<v Speaker 1>how it works, and uh, and how it's changed what

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<v Speaker 1>we are as a species and civilization. Yeah, we've gotten

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<v Speaker 1>a couple of requests for doing a podcast on the

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<v Speaker 1>scientific method, and we will be tackling some of these

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<v Speaker 1>big topics. And it really was important to us to

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<v Speaker 1>talk about the scientific method, as it is a core

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<v Speaker 1>concept of all science. Yeah, like scientific method as um,

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<v Speaker 1>as we mentioned the Life podcast, it's basically how science advances,

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<v Speaker 1>how it moves, how it claims new territory like a

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<v Speaker 1>like an advancing army. You know, how it you know

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<v Speaker 1>how it's a quote you know, Carl Sagan, how it

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<v Speaker 1>you know, brings light into a demon haunted world. You know. So,

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<v Speaker 1>so what's the history on scientific method. Right when did

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<v Speaker 1>it come out? Come about? It looks like it came

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<v Speaker 1>out as far back as the fourth century. See though

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<v Speaker 1>they didn't call it scientific method, and it's it can't

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<v Speaker 1>really be attributed to like one person, but but some

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<v Speaker 1>of the like the ideas involved, and it started emerging

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<v Speaker 1>pretty early on. Yeah, you got a guy you guys

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<v Speaker 1>might have heard of him in Aristotle. He proposed methods

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<v Speaker 1>to answer questions about the world through rigorous observation. Yeah,

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<v Speaker 1>that was way back in the fourth century BC. Much later,

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<v Speaker 1>Albertus Magnus comes along and he borrowed some principles from

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<v Speaker 1>Muslim scientists, and he described this repeating cycle of observation, hypothesis, experimentation,

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<v Speaker 1>and verification. Do you know that Albertus Magnus suppose as

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<v Speaker 1>we had an android? I'm sorry what and android? Yeah,

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<v Speaker 1>it's like look it up. It's pretty crazy, like it

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<v Speaker 1>was probably not an actual robot, just to go ahead

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<v Speaker 1>and get that out there. But um, but he had

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<v Speaker 1>like some sort if I remember the scry he hit

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<v Speaker 1>some sort of like mannequin that maybe had some sort

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<v Speaker 1>of mechanical I think those those charges may have been

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<v Speaker 1>because a lot of these older guys like our next guy,

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<v Speaker 1>Francis Bacon included. You know, they were curious about a

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<v Speaker 1>lot of things, and sometimes that curiosity took them into,

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<v Speaker 1>you know, exploring um less scientific and more magical ideas,

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<v Speaker 1>you know, because that was, like I said, you didn't

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<v Speaker 1>have as clearly to find a science back then, so

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<v Speaker 1>it would sort of bleed into other areas. Um. But

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<v Speaker 1>but yeah, he supposedly had an android, Francis Bacon. I don't.

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<v Speaker 1>I don't think he did. But and he's important we

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<v Speaker 1>bring him up because he was really the first to

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<v Speaker 1>formalize the concept of a true scientific method. And he,

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<v Speaker 1>of course, as standing on the shoulders of giants, as

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<v Speaker 1>these scientists tend to you, was basing is method on

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<v Speaker 1>the work of Nicolas Caperncus and Galileo. Yeah, then along

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<v Speaker 1>comes Mr Newton, Sir Newton to us and his laws

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<v Speaker 1>really ruled the world of science for centuries, and he

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<v Speaker 1>marked the beaming of the scientific age. And don't we

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<v Speaker 1>have a we have a really good article on Isaac

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<v Speaker 1>Newton on the side, don't we do? And I have

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<v Speaker 1>an outstanding request to do a blog post on oh yes,

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<v Speaker 1>about his um, his involvement in alchemy and I remember else.

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<v Speaker 1>I know it's arianism, Okay, Newton and arianism, So I

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<v Speaker 1>will get to that at some point, I promise. Cool.

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<v Speaker 1>So yeah, Newton, though, was pretty much the the beginning

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<v Speaker 1>of the the you know, our scientific age. And you

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<v Speaker 1>know he brought about the beginning methods to um an

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<v Speaker 1>attempt to minimize the influence of bias and prejudice in

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<v Speaker 1>the experiment or and and and the scientific method also

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<v Speaker 1>provides an objective, standardized approach to conducting experiments. And it's

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<v Speaker 1>also about getting cred right, you know, it's good, but

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<v Speaker 1>it's about getting cred not only with other scientists, but

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<v Speaker 1>with the public, with you know, the people who are

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<v Speaker 1>going to be um, exposed to your work. And how

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<v Speaker 1>do they know, um, that you're conducting your work in

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<v Speaker 1>a controlled and rigorous fashion. Yeah, and you made a

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<v Speaker 1>good point when we were preparing for this about nobody's

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<v Speaker 1>perfect when it comes to experimentation in carrying out the

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<v Speaker 1>scientific method, Like there's no like we've named some pretty

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<v Speaker 1>you know, stellar names, you know, um, you know, be

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<v Speaker 1>at Aristotle or Galileo or Newton, but nobody's like free

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<v Speaker 1>of criticism, you know, even like modern dudes like like hawking.

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<v Speaker 1>You know, it's like people. People will and do take

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<v Speaker 1>hawking to task the things that they think doesn't hold

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<v Speaker 1>up to scientific scrutiny. And that's that's how science works.

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<v Speaker 1>Like nothing is set in stone, right, So you have

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<v Speaker 1>to be open to colleagues, um, feedback, constructive criticism, although

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<v Speaker 1>sometimes it can get a little gnarly. Uh. You know,

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<v Speaker 1>you can have some like the bone war. Do you

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<v Speaker 1>remember that when we're talking about dinosaurs. These respected scholars, paleontologists,

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<v Speaker 1>and all of a sudden they're battling over dinosaur bones.

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<v Speaker 1>And I published first. Now you published first, and never

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<v Speaker 1>having been in in a career where I need to

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<v Speaker 1>publish to get ahead, I imagine it does get very

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<v Speaker 1>heated and the pressure is on to publish, to get funding,

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<v Speaker 1>all the stuff, to be the one who's in Nature

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<v Speaker 1>first or whatever publication. But getting back to your point,

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<v Speaker 1>Highlights was a good managing. They had the page where

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<v Speaker 1>you would find the hidden objects in the I did.

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<v Speaker 1>I used to read that in the doctor's office. Um.

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<v Speaker 1>You know, beginning back to your point, there are two

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<v Speaker 1>major forms of bias that creep into experiments and we

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<v Speaker 1>should mention them. Uh, selection bias and that's really that

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<v Speaker 1>occurs if the participants you select, for example, UM for

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<v Speaker 1>an experiment aren't representative of particular population, so selection bias.

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<v Speaker 1>Say you're interested in whether people watch more TV at night,

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<v Speaker 1>but you only go to a house. Uh, you only

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<v Speaker 1>go to a neighborhood that's fifty five and older. So yeah,

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<v Speaker 1>that's not a good like cross section of the population

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<v Speaker 1>you're looking to to study. Yeah, because maybe you're looking

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<v Speaker 1>to look at TV habit TV watching habits in population

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<v Speaker 1>from thirty and above, right, So you're if you're only

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<v Speaker 1>hitting the fifty five and older community, probably not going

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<v Speaker 1>to get that creative results. I'm not going to have

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<v Speaker 1>an informed, informed data. So you also can have observer bias.

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<v Speaker 1>An example of this may be that a participant in

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<v Speaker 1>experiment couldn't remember correctly what his exposure to particular variable was.

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<v Speaker 1>So let's say you're interested in the question of UM

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<v Speaker 1>influenza among UM a particular population of people, and UM,

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<v Speaker 1>your participant can't remember the number of times he hung

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<v Speaker 1>out with runny nose nursery school kids. However, you choose

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<v Speaker 1>to word that in your experiment, Well cool, let's UM.

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<v Speaker 1>So those are two examples of us cool. Well, let's so,

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<v Speaker 1>I guess it's time to actually begin the process, begin

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<v Speaker 1>the scientific method. Let's do it right. So the first

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<v Speaker 1>step is pretty pretty basic, doesn't require a lot of explanation.

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<v Speaker 1>Make an observation, and you know, I think, well, you

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<v Speaker 1>encounter this every day. You like, maybe you're on Marty

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<v Speaker 1>or something that Marty's our public transportation train system here

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<v Speaker 1>in Atlanta, and you you look across the island and

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<v Speaker 1>you go, I wonder, like, what why that lady is

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<v Speaker 1>eating an entyrotistrie chicken on the train. It's an observation

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<v Speaker 1>and it raises question, chicken lady, it was weird, it

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<v Speaker 1>was It's kind of gross. That would be definitely gross. Yeah,

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<v Speaker 1>now that would would be harder to that more scientific

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<v Speaker 1>would be like you know, like Charles Darwin observing uh,

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<v Speaker 1>you know, different species of finches uh on the galactical

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<v Speaker 1>silence and and asking himself, you know, what's going on here? Why?

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<v Speaker 1>Why all the similarity? You know, or you know, the

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<v Speaker 1>things of that nature are definitely more in the scientific realm.

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<v Speaker 1>Why is something the way it is? And And that's

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<v Speaker 1>that's the beginning. Okay, But let's just get back to

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<v Speaker 1>the richistory. Chicken. There's no reason why you couldn't um

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<v Speaker 1>come up with some sort of interesting experiment based around that. Okay,

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<v Speaker 1>well okay, yeah, Like the in the situation would be

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<v Speaker 1>like why does this lady find it necessary to eat

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<v Speaker 1>a roctistory chicken with their fingers on the train and

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<v Speaker 1>then touch the pole? There's there's all sorts of interesting

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<v Speaker 1>stuff to be explored there. It doesn't have to be

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<v Speaker 1>about finches or about you know, particle accelerators. The very

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<v Speaker 1>questions that you know surround us in our normal lives,

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<v Speaker 1>I think are worthy of investigation, and I think it's

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<v Speaker 1>just really worth emphasizing because science does not have to

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<v Speaker 1>be about these um super unapproachable intellectual topics, right like

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<v Speaker 1>the the Ignoble Prizes, the Improbable Research publication they constantly

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<v Speaker 1>cover peer reviewed scientific um, you know, papers that deal

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<v Speaker 1>with kind of ludicrous founding, you know, questions, But but

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<v Speaker 1>nothing's you know, like you say, nothing is really out

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<v Speaker 1>of bounds for science, you knows, of like, what was

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<v Speaker 1>one of the more ridiculous ones that I can actually

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<v Speaker 1>mention in the podcast because the only ones coming to

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<v Speaker 1>mind are the probably risque ones. Um, I think there

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<v Speaker 1>was something that's um, there was a charcoal filter. A

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<v Speaker 1>man who invented a charcoal filter so that when he

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<v Speaker 1>um was feeling gaseous, there was That wasn't really an experiment,

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<v Speaker 1>that was more of an invention, I suppose. Yeah, but

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<v Speaker 1>that's the only one I can do. But still the

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<v Speaker 1>things of that nature. I mean, there are some scientific

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<v Speaker 1>experiments I know for a fact, like dealing with NASA

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<v Speaker 1>that have to do with like how ghassy people are,

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<v Speaker 1>because that's an issue if you're going into space, so

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<v Speaker 1>bad breath. So yeah, just about anything, no matter how

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<v Speaker 1>ridiculous or seemingly insignificant. Uh, science can and often does

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<v Speaker 1>analyze it. So we have a pretty insignificant sounding example,

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<v Speaker 1>just a very hypothetical situation here around the office, right

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<v Speaker 1>all right, Yeah, So Robert and I put together a

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<v Speaker 1>little hype local experiment and here's our experiment. We were

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<v Speaker 1>going to make an observation. And here's the deal. Robert, Yeah,

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<v Speaker 1>you are a big fan of pudding pops and for

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<v Speaker 1>the purposes, so you're gonna be bringing a stash of

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<v Speaker 1>putting pops to work. You're gonna put them in the freezer,

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<v Speaker 1>don't put them in the fridge like I put my

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<v Speaker 1>ice cream cake for my sixteenth birthday in the fridge

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<v Speaker 1>and it melted, and that was why do you bring

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<v Speaker 1>that to work? Now? It probably just as well you

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<v Speaker 1>shouldn't eat baconized turning sixty. Um, So, anyway, you've been

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<v Speaker 1>bringing these pudding pops to work. He's stash him in

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<v Speaker 1>the freezer. Two clock rolls around. You're really getting that,

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<v Speaker 1>you know, urge for a pudding pop, which I guess

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<v Speaker 1>grips some of us. Yeah, two pm, that's a good

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<v Speaker 1>time for it. Sugar, you need some sugar to keep going. Yeah,

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<v Speaker 1>so you even noticing that the pudding pops are disappearing.

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<v Speaker 1>Mm hmm. They're disappearing faster than you've been eating them.

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<v Speaker 1>At least this is your thought. It's not like you're

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<v Speaker 1>the kind of guy who you know, marks his food

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<v Speaker 1>and the freezer and ticks one off when you take

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<v Speaker 1>one out of the box. So you've you've kind of observed. Okay,

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<v Speaker 1>we've observed. And this leads right into the next step

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<v Speaker 1>in the scientific method, and that is ask a question. Yeah,

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<v Speaker 1>we gotta narrow our focus of inquiry. We've gotta identify

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<v Speaker 1>the problem. We're gonna get specific, right, So the observation

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<v Speaker 1>we made was that something is happening to these pudding pops.

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<v Speaker 1>They're vanishing. Am I the only one thinking of Bill

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<v Speaker 1>Cosby right now? Probably not um? And then the question

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<v Speaker 1>that immediately arises is, Hey, what's happening to these pudding pops?

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<v Speaker 1>Is someone throwing them away? Are they like they are

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<v Speaker 1>they atomizing and just you know, or they've slipping into

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<v Speaker 1>another dimension. And maybe the boxes upside down and they're

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<v Speaker 1>they're falling out of the boxing on the way to work,

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<v Speaker 1>and then I'm putting an empty box into the freezer. See,

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<v Speaker 1>these are all these are all interesting possible Maybe just

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<v Speaker 1>maybe somebody is eating your pudding pops and it's not you.

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<v Speaker 1>Well that leads to step three right, form a hypothesis.

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<v Speaker 1>So there are all these possibilities. Now that the possibility

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<v Speaker 1>that a a like a tiny black hole is opening

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<v Speaker 1>up in the house, stuff works, freezer and consuming pudding pops, well,

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<v Speaker 1>I don't think that's very likely. Just it's maybe it's possible,

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<v Speaker 1>but it's extremely unlikely. Likewise, I feel like I'm pretty

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<v Speaker 1>aware of my you know, surroundings. When I'm bringing things

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<v Speaker 1>to work. They're probably not following out falling out of

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<v Speaker 1>that box. So I'm going to go with the hypothesis

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<v Speaker 1>somebody's stealing my pudding pops. Well, if they're vanilla flavor,

0:12:33.400 --> 0:12:36.080
<v Speaker 1>nobody's stealing them chocolate, I might grant you that. So

0:12:36.679 --> 0:12:39.200
<v Speaker 1>um right, So no, now we have this question, and

0:12:39.280 --> 0:12:41.680
<v Speaker 1>let's let's formulate it correctly so that we can find

0:12:41.679 --> 0:12:44.360
<v Speaker 1>an answer. And that's really the next step that we

0:12:44.440 --> 0:12:46.280
<v Speaker 1>have going on here. We're going to suggest a possible

0:12:46.280 --> 0:12:50.240
<v Speaker 1>answer in the form of a hypothesis. And a hypothesis

0:12:50.360 --> 0:12:54.280
<v Speaker 1>is often defined as an educated guess because we sort

0:12:54.280 --> 0:12:57.080
<v Speaker 1>of have this idea that, yes, maybe somebody is taking

0:12:57.080 --> 0:13:00.439
<v Speaker 1>the pudding pops black holes not really not really likely.

0:13:00.600 --> 0:13:02.640
<v Speaker 1>Some of the other options not so likely, So this

0:13:02.720 --> 0:13:06.120
<v Speaker 1>is somewhat of an informed guess. It's generally in the

0:13:06.160 --> 0:13:09.880
<v Speaker 1>form of like X then y R. Another important thing

0:13:09.880 --> 0:13:11.960
<v Speaker 1>about the hypothesis is that you're gonna have to define

0:13:12.040 --> 0:13:14.880
<v Speaker 1>all the terms in there, right, So um, if our

0:13:14.960 --> 0:13:21.480
<v Speaker 1>hypothesis is um, let's see if we leave a box

0:13:21.559 --> 0:13:24.320
<v Speaker 1>putting pops in the fridge for a week, then Josh

0:13:24.440 --> 0:13:26.839
<v Speaker 1>Clark from Stuff you Should Know, We'll still a pudding

0:13:26.880 --> 0:13:29.960
<v Speaker 1>pop a day in the afternoon. Accepting weekends, Okay, So

0:13:30.000 --> 0:13:31.480
<v Speaker 1>what are we gonna have to define there? Who is

0:13:31.559 --> 0:13:37.400
<v Speaker 1>Josh Clark? What is it? Pudding pop um? What is stealing? Indeed,

0:13:37.760 --> 0:13:39.520
<v Speaker 1>a couple of different things that we're going to have

0:13:39.600 --> 0:13:42.160
<v Speaker 1>to know and be able to measure to see in

0:13:42.200 --> 0:13:46.320
<v Speaker 1>fact whether our hypothesis has proven true. And how are

0:13:46.320 --> 0:13:48.600
<v Speaker 1>we going to find out if it's proven true. We're

0:13:48.600 --> 0:13:51.160
<v Speaker 1>gonna have to devise an experiment. Okay, and this is

0:13:51.200 --> 0:13:55.040
<v Speaker 1>step four, Step four duct an experiment the excitement. So

0:13:55.080 --> 0:13:58.440
<v Speaker 1>the hypothesis is that Josh Clark may be stealing these

0:13:58.559 --> 0:14:01.480
<v Speaker 1>putting pop a day and said, just to clarify, I'm

0:14:01.480 --> 0:14:04.560
<v Speaker 1>pretty sure Josh Clark is a fan of frozen yogurt

0:14:04.640 --> 0:14:06.680
<v Speaker 1>and not putting pops but in real life, but for

0:14:06.720 --> 0:14:10.520
<v Speaker 1>the purposes the experiment, he's a putting pop faint. Okay,

0:14:10.559 --> 0:14:14.839
<v Speaker 1>all right, so let's connect our experiment. Let's make it scientific.

0:14:15.040 --> 0:14:17.480
<v Speaker 1>All right? Well, how do you can connect the scientific experiment? Like?

0:14:17.520 --> 0:14:20.360
<v Speaker 1>What are the well, I mean a lot of people listening.

0:14:20.360 --> 0:14:21.760
<v Speaker 1>You are going to think of something that takes place

0:14:21.760 --> 0:14:23.600
<v Speaker 1>in the lab. You know you're gonna invoke buns and

0:14:23.640 --> 0:14:27.480
<v Speaker 1>burners and lab work benches and test tubes and all

0:14:27.520 --> 0:14:31.000
<v Speaker 1>sorts of things like that earln Meyer, Flaska. Do you

0:14:31.000 --> 0:14:35.360
<v Speaker 1>remember this? Yeah, I think so. But it doesn't necessarily

0:14:35.440 --> 0:14:37.880
<v Speaker 1>mean like, it doesn't necessarily mean like me and Alison

0:14:37.880 --> 0:14:40.520
<v Speaker 1>going into the laboratory and like melting down putting pops

0:14:40.560 --> 0:14:43.320
<v Speaker 1>and like you know that kind of stuff. No, our

0:14:43.320 --> 0:14:45.880
<v Speaker 1>experiment can be pretty simple, and and some really great

0:14:45.920 --> 0:14:49.720
<v Speaker 1>experiments in science have been extraordinarily simple. Yeah, it's all

0:14:49.760 --> 0:14:52.080
<v Speaker 1>about like not that we would put our experiment on

0:14:52.160 --> 0:14:54.960
<v Speaker 1>the level of this, but it's all about like keeping

0:14:54.960 --> 0:14:58.080
<v Speaker 1>it on task and in avoiding bias, so like in

0:14:58.200 --> 0:15:01.480
<v Speaker 1>controlling for your variables as much as you can um

0:15:01.520 --> 0:15:03.280
<v Speaker 1>and then you know, if you can't control for some

0:15:03.360 --> 0:15:07.440
<v Speaker 1>of these variables and analyzing the data uh later in

0:15:07.480 --> 0:15:10.480
<v Speaker 1>a way that can say maybe you run like linear regression.

0:15:10.520 --> 0:15:14.440
<v Speaker 1>I can't believe I just pull that up stats. Yeah,

0:15:14.520 --> 0:15:17.440
<v Speaker 1>So you wouldn't want to, like, you're not conducting an

0:15:17.440 --> 0:15:21.120
<v Speaker 1>experiment to prove Josh Clark is is stealing putting pops.

0:15:21.120 --> 0:15:24.560
<v Speaker 1>You're testing a hypothesis. It's it's it may seem like

0:15:24.560 --> 0:15:26.920
<v Speaker 1>a slight thing, but it's it really makes a lot

0:15:27.000 --> 0:15:30.480
<v Speaker 1>of difference. You're you're you're supposed to avoid having any

0:15:30.520 --> 0:15:33.960
<v Speaker 1>kind of like preconceived answer, you know. I mean you

0:15:33.960 --> 0:15:35.480
<v Speaker 1>can have you can sort of have one, but not

0:15:35.520 --> 0:15:39.920
<v Speaker 1>like officially. You know, you can have an informed guess. Yeah,

0:15:40.000 --> 0:15:42.680
<v Speaker 1>you can have expected result, but not you know, you're

0:15:42.680 --> 0:15:46.760
<v Speaker 1>not setting out to prove that result exactly. Okay, so

0:15:46.920 --> 0:15:49.080
<v Speaker 1>let's uh, let's roll our experiment. What are we gonna do.

0:15:49.320 --> 0:15:53.000
<v Speaker 1>We gotta get some pops, right, Um, So let's say

0:15:53.040 --> 0:15:55.760
<v Speaker 1>we were going to conduct our experiment over the span

0:15:55.960 --> 0:16:00.200
<v Speaker 1>of a work week Monday through Friday. We're gonna put

0:16:00.200 --> 0:16:03.360
<v Speaker 1>the pops in the freezer at the start of Monday morning,

0:16:04.760 --> 0:16:09.120
<v Speaker 1>and we're going to add a hidden camera. Okay, I

0:16:09.120 --> 0:16:10.680
<v Speaker 1>don't know where to get one of these if we

0:16:10.680 --> 0:16:12.680
<v Speaker 1>were to conduct such an experiment. I guess they're probably

0:16:12.680 --> 0:16:14.720
<v Speaker 1>pretty easy to yet. They probably have them in the

0:16:14.800 --> 0:16:19.760
<v Speaker 1>video department, yeah, everywhere. Yeah. So we're gonna hook up

0:16:19.760 --> 0:16:21.920
<v Speaker 1>the hidden camera, and then we're going to monitor the

0:16:21.960 --> 0:16:24.160
<v Speaker 1>camera and see what happens with the pops, who's taken them.

0:16:24.160 --> 0:16:26.760
<v Speaker 1>When we're gonna record the data, We're gonna record you

0:16:26.840 --> 0:16:29.920
<v Speaker 1>eating the pops. We're gonna record everything about the pops. Now,

0:16:29.920 --> 0:16:33.120
<v Speaker 1>we're also going to need a control group, right, Yeah,

0:16:33.160 --> 0:16:35.280
<v Speaker 1>I suppose we could we could have the control group. Yeah,

0:16:35.360 --> 0:16:38.239
<v Speaker 1>this is like when if you're testing a drug on people,

0:16:38.440 --> 0:16:41.720
<v Speaker 1>like in a clinical trial, like the test group would

0:16:41.800 --> 0:16:44.840
<v Speaker 1>receive a placebo or they would they would not receive

0:16:45.480 --> 0:16:48.440
<v Speaker 1>the proposed they proposed therapy, because you want to see

0:16:48.440 --> 0:16:51.320
<v Speaker 1>how people respond just normally. I do think we need

0:16:51.360 --> 0:16:54.960
<v Speaker 1>to do a podcast on the placebo effect, by the way,

0:16:53.600 --> 0:16:56.960
<v Speaker 1>I want to do one. Okay, so we're gonna also

0:16:57.040 --> 0:17:00.440
<v Speaker 1>place a box of pudding pops in the freeze by

0:17:00.560 --> 0:17:03.320
<v Speaker 1>the dev team, and that should be interesting because they

0:17:03.360 --> 0:17:05.800
<v Speaker 1>are a wacky bunch, yeah, and they're far away, you know,

0:17:06.320 --> 0:17:09.399
<v Speaker 1>like for the purposes of this experiment, Josh Clark never

0:17:09.440 --> 0:17:12.280
<v Speaker 1>goes there. And also for the purposes of this experiment,

0:17:12.320 --> 0:17:15.200
<v Speaker 1>the development team does not like putting their all allergic

0:17:15.240 --> 0:17:18.560
<v Speaker 1>to it. Okay, all right, all right, so they're a

0:17:18.560 --> 0:17:21.560
<v Speaker 1>good control group. Alright. So so yeah, we so we

0:17:21.600 --> 0:17:23.879
<v Speaker 1>carry out this experiment, right, Yeah, what do we find?

0:17:24.680 --> 0:17:26.240
<v Speaker 1>Get some data? Well, that's the thing. We have to

0:17:26.240 --> 0:17:31.960
<v Speaker 1>move on to step five, which is analyzed the data conclusion. Yeah, sure,

0:17:32.040 --> 0:17:38.679
<v Speaker 1>did do a little deduction deduction deducon So, for instance,

0:17:38.760 --> 0:17:41.960
<v Speaker 1>let's let's say that we look at the data and

0:17:42.600 --> 0:17:45.919
<v Speaker 1>it doesn't look like Josh's stealing these. It doesn't well,

0:17:46.000 --> 0:17:49.280
<v Speaker 1>let's say like Josh. Let's say that in the in

0:17:49.520 --> 0:17:53.160
<v Speaker 1>this particular footage, like Josh is only showing up at

0:17:53.240 --> 0:17:56.320
<v Speaker 1>in the at the freezer like like once a week,

0:17:56.840 --> 0:18:00.440
<v Speaker 1>and we're still having one a day disappear. So it's

0:18:00.440 --> 0:18:02.320
<v Speaker 1>not Josh. Yeah, so we would have to at this

0:18:02.400 --> 0:18:06.480
<v Speaker 1>point reject the hypothesis. Yes, and then we would have

0:18:06.560 --> 0:18:09.159
<v Speaker 1>to go backwards a few steps to the form of

0:18:09.240 --> 0:18:11.200
<v Speaker 1>hypothesis level, and we have to form a new one.

0:18:11.240 --> 0:18:14.120
<v Speaker 1>Maybe look into that black hole thing or maybe look

0:18:14.200 --> 0:18:16.960
<v Speaker 1>into the girls from I don't know, Stephane ms in

0:18:17.040 --> 0:18:19.399
<v Speaker 1>history class, right, Yeah, maybe they have a thing for

0:18:19.400 --> 0:18:23.280
<v Speaker 1>putting bops. Never know. And uh. And likewise, if we

0:18:23.280 --> 0:18:25.879
<v Speaker 1>were to look at the data and find proof that

0:18:26.000 --> 0:18:29.280
<v Speaker 1>Josh was actually stealing these, then we would have to

0:18:29.320 --> 0:18:32.600
<v Speaker 1>accept the hypothesis would be validated and it would be

0:18:32.680 --> 0:18:35.160
<v Speaker 1>nice and then maybe you know, submit it to Highlights

0:18:35.160 --> 0:18:38.879
<v Speaker 1>magazine for republication. Well, yes, of course you bring up

0:18:39.040 --> 0:18:42.040
<v Speaker 1>a good point. So after we're after we're done analyzing

0:18:42.040 --> 0:18:45.080
<v Speaker 1>the data and we've drawn conclusions and um, gone through

0:18:45.080 --> 0:18:48.159
<v Speaker 1>all the accepting or rejecting of the hypothesis. I'm not

0:18:48.160 --> 0:18:51.120
<v Speaker 1>even gonna get into the little hypothesis. Well, we're keeping

0:18:51.119 --> 0:18:55.160
<v Speaker 1>it pretty simple for for everybody here, right, So we're

0:18:55.160 --> 0:18:57.680
<v Speaker 1>gonna want to We're gonna want to communicate the results

0:18:57.720 --> 0:19:00.720
<v Speaker 1>of our experiment with our colleagues, with our fellow putting

0:19:00.760 --> 0:19:04.280
<v Speaker 1>pop scientists out there. We're gonna, you know, want to see, Hey,

0:19:04.359 --> 0:19:07.280
<v Speaker 1>what did you guys think about how we conducted our experiment.

0:19:07.320 --> 0:19:09.480
<v Speaker 1>Maybe we'll get maybe little submitted to highlights. So we

0:19:09.520 --> 0:19:12.040
<v Speaker 1>have to we have to go through peer review, and

0:19:12.600 --> 0:19:16.320
<v Speaker 1>one of the people who is a putting pop expert

0:19:16.359 --> 0:19:18.199
<v Speaker 1>will say, hey, you know what, actually I've done this

0:19:18.280 --> 0:19:21.520
<v Speaker 1>experiment and you forgot to do X y Z. You

0:19:21.520 --> 0:19:26.800
<v Speaker 1>didn't stick the camera in the right place because yeah, yeah,

0:19:27.320 --> 0:19:29.439
<v Speaker 1>or yeah. There are a number of problems that can

0:19:29.480 --> 0:19:31.600
<v Speaker 1>come and they come up constantly, like if you actually

0:19:31.600 --> 0:19:35.400
<v Speaker 1>look at any like peer reviewed publication, like it's constantly

0:19:35.440 --> 0:19:37.800
<v Speaker 1>like you know, people bringing up problems and just really

0:19:37.840 --> 0:19:40.600
<v Speaker 1>tearing into studies that they don't agree with, their find

0:19:40.600 --> 0:19:43.439
<v Speaker 1>fault with their disagree with the methods. Yeah, so there

0:19:43.440 --> 0:19:46.399
<v Speaker 1>are limitations to to science. It can't achieve everything, and

0:19:46.760 --> 0:19:49.760
<v Speaker 1>clearly the scientific method is a powerful tool. Um, but

0:19:49.840 --> 0:19:54.040
<v Speaker 1>it too has its limitations. For starters, a hypothesis has

0:19:54.080 --> 0:19:58.320
<v Speaker 1>to be testable and uh and falsifiable, and the experiments

0:19:58.320 --> 0:20:01.639
<v Speaker 1>and observations have to be repeatable. Yeah, so yeah, you

0:20:01.640 --> 0:20:03.400
<v Speaker 1>you can't do it like have an experiment. They can

0:20:03.400 --> 0:20:06.480
<v Speaker 1>only be done once. You can't do science in a vacuum, right,

0:20:06.600 --> 0:20:08.480
<v Speaker 1>um you well, I guess you could do science in

0:20:08.480 --> 0:20:10.240
<v Speaker 1>a vacuum, but that's you guys know what I meant. Yeah,

0:20:10.240 --> 0:20:11.840
<v Speaker 1>and it has to be testable, like you can't be

0:20:12.200 --> 0:20:15.280
<v Speaker 1>you know, nobody can have like a scientific experiment for

0:20:15.560 --> 0:20:18.400
<v Speaker 1>is there a God? Because that's just that's not testable.

0:20:18.440 --> 0:20:22.240
<v Speaker 1>It's it's not something that is you know, that's scientifically

0:20:22.359 --> 0:20:24.800
<v Speaker 1>provable or disprovable. Well, I can't believe we went from

0:20:24.800 --> 0:20:27.480
<v Speaker 1>putting pops to God and like the span of five minutes. Well,

0:20:27.520 --> 0:20:30.280
<v Speaker 1>someone say the distance is not that far, you know,

0:20:31.160 --> 0:20:35.359
<v Speaker 1>especially fans of pudding pops. I guess yeah. And sometimes

0:20:35.359 --> 0:20:38.280
<v Speaker 1>you have instances where scientific principles are used to try

0:20:38.320 --> 0:20:41.960
<v Speaker 1>to lend credibility to certain non scientific ideas. Yeah. Like

0:20:42.440 --> 0:20:46.320
<v Speaker 1>let's say, for instance, I were to have the bones

0:20:46.359 --> 0:20:50.159
<v Speaker 1>of some like you know older you know, hominid that

0:20:50.600 --> 0:20:52.439
<v Speaker 1>may have you know, evolved and do a human and

0:20:52.480 --> 0:20:53.959
<v Speaker 1>I tried to make the case that this is an

0:20:53.960 --> 0:20:56.960
<v Speaker 1>alien skeleton, you know, and you know, and I like

0:20:57.040 --> 0:21:01.480
<v Speaker 1>sort of applied some sort of pseudo scientific ideas. You know,

0:21:01.520 --> 0:21:03.280
<v Speaker 1>people do this all the time where you kind of

0:21:03.320 --> 0:21:06.240
<v Speaker 1>like take like a one scoop of science and one

0:21:06.240 --> 0:21:10.600
<v Speaker 1>scoop of crazy and or one scoop of just extreme bias,

0:21:10.680 --> 0:21:13.840
<v Speaker 1>and you know, mix the two and you know, produce

0:21:13.960 --> 0:21:15.679
<v Speaker 1>this cake that a lot of people think is the

0:21:15.680 --> 0:21:18.320
<v Speaker 1>real deal. Which is why everybody should be educated in science.

0:21:18.359 --> 0:21:20.920
<v Speaker 1>Everybody should have the tools to apply their their critical

0:21:20.920 --> 0:21:25.040
<v Speaker 1>thinking skills to a particular uh scientific problem or a

0:21:25.080 --> 0:21:29.080
<v Speaker 1>scientific paper them right, and likewise, I mean, anything in

0:21:29.119 --> 0:21:31.800
<v Speaker 1>science should be uh, I mean it should be just

0:21:31.880 --> 0:21:35.480
<v Speaker 1>fair game for for criticism, provided you know, bring the

0:21:35.480 --> 0:21:38.600
<v Speaker 1>science the science. Science is a tool that continually, you know,

0:21:38.720 --> 0:21:42.200
<v Speaker 1>changes what we believe about the universe, you know, and

0:21:42.200 --> 0:21:44.760
<v Speaker 1>and it's you know, nothing nothing is sacred, you know,

0:21:45.440 --> 0:21:48.000
<v Speaker 1>use the tools of science to question what has come before,

0:21:48.760 --> 0:21:50.960
<v Speaker 1>no doubt, no doubt. That seems like a pretty good

0:21:50.960 --> 0:21:53.520
<v Speaker 1>place to end. So, um, we hope you've enjoyed our

0:21:53.560 --> 0:21:57.679
<v Speaker 1>walk through, uh the scientific method and are putting pop experiment,

0:21:57.720 --> 0:21:59.760
<v Speaker 1>and we hope you buy a big box of putting

0:21:59.760 --> 0:22:02.920
<v Speaker 1>pop right after this, right, and again, the pudding pop

0:22:03.359 --> 0:22:07.159
<v Speaker 1>example is it's pretty simple. It's we're just trying to

0:22:07.640 --> 0:22:11.200
<v Speaker 1>basic structure out there for the scientist. So let's turn

0:22:11.240 --> 0:22:14.119
<v Speaker 1>to something different, a little listener mail. Yeah, you have

0:22:14.119 --> 0:22:23.119
<v Speaker 1>some listener mail there for us, I do. Okay, So

0:22:23.160 --> 0:22:25.080
<v Speaker 1>here goes a while back, and maybe you guys will

0:22:25.119 --> 0:22:27.760
<v Speaker 1>remember that we covered oil in a two part series

0:22:28.280 --> 0:22:32.520
<v Speaker 1>about looking for it and then harvesting it from the earth. Yeah, yep,

0:22:32.920 --> 0:22:35.040
<v Speaker 1>And we put the call out for people who have

0:22:35.080 --> 0:22:37.280
<v Speaker 1>worked on oil rigs to let us know how that was.

0:22:37.359 --> 0:22:40.840
<v Speaker 1>And sure enough we got somebody who responded, Thank you, Adam.

0:22:40.880 --> 0:22:45.000
<v Speaker 1>And Adam sent us a pretty interesting note. So he says, hey, guys,

0:22:45.320 --> 0:22:47.720
<v Speaker 1>I love the podcast. You did a great job summarizing

0:22:47.720 --> 0:22:50.720
<v Speaker 1>both the addiction and how oil is explored. Slash produced.

0:22:51.160 --> 0:22:53.120
<v Speaker 1>I've worked in the oil industry for a few years

0:22:53.160 --> 0:22:56.639
<v Speaker 1>after graduating as an electrical engineer from Ohiouse State. Go Bucks.

0:22:57.800 --> 0:23:02.000
<v Speaker 1>That's in the email. Okay, you mentioned one of the

0:23:02.040 --> 0:23:05.040
<v Speaker 1>things I used to do on the podcast, controlled explosions

0:23:05.040 --> 0:23:07.600
<v Speaker 1>through the casing to facilitate the flow of oil gas

0:23:07.600 --> 0:23:10.720
<v Speaker 1>into a newly drilled well. He also used to run

0:23:10.880 --> 0:23:12.800
<v Speaker 1>a variety of tools into the well to help oil

0:23:12.840 --> 0:23:16.120
<v Speaker 1>companies produce their wells more efficiently, from checking for plaque

0:23:16.119 --> 0:23:18.800
<v Speaker 1>along the casing that minimizes diameter, to see if one

0:23:18.880 --> 0:23:21.719
<v Speaker 1>zone of production might be producing too much water. So

0:23:21.760 --> 0:23:24.080
<v Speaker 1>all sorts of really interesting stuff around there. And then

0:23:24.200 --> 0:23:28.560
<v Speaker 1>Adam goes on to add oil rigs are not luxurious.

0:23:28.800 --> 0:23:32.320
<v Speaker 1>They have minimal space used as efficiently as possible. I

0:23:32.320 --> 0:23:34.760
<v Speaker 1>was on jack Off riggs in the Middle East, the

0:23:35.040 --> 0:23:38.280
<v Speaker 1>United Arab Emirates and Qatar, so that's my reference point.

0:23:38.520 --> 0:23:41.560
<v Speaker 1>Maybe it's different in other parts of the world. None

0:23:41.560 --> 0:23:43.680
<v Speaker 1>of them many rigs. I worked on how to gym

0:23:43.800 --> 0:23:46.080
<v Speaker 1>if people wanted to exercise, they could walk in circles

0:23:46.080 --> 0:23:50.800
<v Speaker 1>on the heliport. It's true there were quote unquote chefs

0:23:50.840 --> 0:23:54.000
<v Speaker 1>and quote unquote doctors, but they didn't exactly have Culinary

0:23:54.000 --> 0:23:58.240
<v Speaker 1>Institute diplomas or Envy certificates hanging on the walls. Platforms,

0:23:58.280 --> 0:24:01.080
<v Speaker 1>on the other hand, are like a small city and

0:24:01.119 --> 0:24:04.159
<v Speaker 1>these amenities are common. So if you're a work at

0:24:04.240 --> 0:24:06.240
<v Speaker 1>fiend and you're interested in working for oil, I guess

0:24:06.320 --> 0:24:08.159
<v Speaker 1>platforms would be the way to go. I like the

0:24:08.200 --> 0:24:13.439
<v Speaker 1>idea that the doctors had culinary diploma shows not what

0:24:13.520 --> 0:24:16.359
<v Speaker 1>he was saying. So, Adam, ads um, these platforms are

0:24:16.359 --> 0:24:18.760
<v Speaker 1>there for the long haul and they're designed to be livable. Also,

0:24:18.840 --> 0:24:21.000
<v Speaker 1>in most areas of the world, the production is taken

0:24:21.000 --> 0:24:24.200
<v Speaker 1>over by the national oil company. Thus the platform mainly

0:24:24.200 --> 0:24:27.160
<v Speaker 1>houses workers from that country, or at least that country's

0:24:27.160 --> 0:24:31.280
<v Speaker 1>oil company's staff. During the drilling process. The oil company

0:24:31.359 --> 0:24:34.719
<v Speaker 1>represent may represent one the personnel on the rig at

0:24:34.720 --> 0:24:36.960
<v Speaker 1>any given time. He said us a picture of him

0:24:36.960 --> 0:24:39.800
<v Speaker 1>on a rig, and he's a he's behind an exclusive

0:24:39.840 --> 0:24:42.800
<v Speaker 1>sign with a white hard hat. Did you see it? No?

0:24:42.880 --> 0:24:45.879
<v Speaker 1>I didn't. I'll have to pick it up, so he

0:24:45.920 --> 0:24:48.480
<v Speaker 1>writes on I no longer work in the industry, thankfully.

0:24:48.480 --> 0:24:50.199
<v Speaker 1>As you mentioned, the pay is excellent and the benefits

0:24:50.240 --> 0:24:52.680
<v Speaker 1>are good, depending on who you work for. The oil

0:24:52.680 --> 0:24:56.159
<v Speaker 1>service companies typically paid better but treated employees worse. I

0:24:56.200 --> 0:24:58.200
<v Speaker 1>took the money I made and did an MBA at

0:24:58.200 --> 0:25:01.560
<v Speaker 1>a top ten business school in Spain. Adam, and we'll

0:25:01.600 --> 0:25:04.359
<v Speaker 1>actually start my first post NBA job next week at

0:25:04.359 --> 0:25:08.040
<v Speaker 1>a wind turbine company in Denmark. Well that's interesting into

0:25:08.080 --> 0:25:11.120
<v Speaker 1>the story. Well, yeah, so he says, this is the close. Yes,

0:25:11.200 --> 0:25:13.400
<v Speaker 1>working in the oil industry fueled my passion to get

0:25:13.400 --> 0:25:15.960
<v Speaker 1>into renew the energy. I think anyone involved in the

0:25:16.000 --> 0:25:19.159
<v Speaker 1>process can see how unsustainable it is. I hope you

0:25:19.160 --> 0:25:22.280
<v Speaker 1>found this martually interesting. We did. We totally did. Thank

0:25:22.320 --> 0:25:25.440
<v Speaker 1>you really, thanks a ton for writing Adam. Yeah, I mean,

0:25:25.520 --> 0:25:28.320
<v Speaker 1>even if it is unsustainable, certainly, And you know, a

0:25:28.400 --> 0:25:30.639
<v Speaker 1>lot of opinions vary about the about the use of

0:25:30.680 --> 0:25:32.879
<v Speaker 1>oil and the oil industry in general. But as we

0:25:32.920 --> 0:25:36.159
<v Speaker 1>mentioned that the actual podcast, the process involved in finding

0:25:36.160 --> 0:25:38.160
<v Speaker 1>the oil and then extracting it, it's just just really

0:25:38.160 --> 0:25:41.440
<v Speaker 1>fascinating because, like we say, if you're when someone is

0:25:41.440 --> 0:25:44.080
<v Speaker 1>addicted to something, they'll go to extraordinary means to get

0:25:44.160 --> 0:25:46.960
<v Speaker 1>what they're addicted to and um, and we go to

0:25:47.000 --> 0:25:49.560
<v Speaker 1>extraordinary means to get that oil. And it's it's really

0:25:49.600 --> 0:25:53.800
<v Speaker 1>amazing because there's some cold, just excellent technology involved in it. Yeah,

0:25:53.840 --> 0:25:56.800
<v Speaker 1>it's excellent minds. So hey, if you guys have any

0:25:56.800 --> 0:25:58.440
<v Speaker 1>thoughts that you want to send us, whether they're about

0:25:58.440 --> 0:26:01.840
<v Speaker 1>oil or the scientific method it um or putting bops,

0:26:02.400 --> 0:26:04.160
<v Speaker 1>do this an email at science Stuff at how stuff

0:26:04.440 --> 0:26:08.000
<v Speaker 1>dot com or connect with us. We're on Facebook, stuff

0:26:08.000 --> 0:26:10.680
<v Speaker 1>from the Science Lab or Twitter, were Lab stuff. Yeah,

0:26:10.720 --> 0:26:14.120
<v Speaker 1>we'll constantly update you on what we're podcasting about, blogging about.

0:26:14.160 --> 0:26:16.800
<v Speaker 1>And also just like I looked out dated, which just

0:26:16.800 --> 0:26:20.760
<v Speaker 1>cool science stuff that I find on the web. So

0:26:20.840 --> 0:26:23.119
<v Speaker 1>look us up and thanks for listening, guys, we appreciate it.

0:26:30.200 --> 0:26:32.600
<v Speaker 1>For more on this and thousands of other topics, does

0:26:32.640 --> 0:26:36.159
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0:26:36.440 --> 0:26:38.560
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0:26:38.640 --> 0:26:45.760
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