WEBVTT - Behavioral Priming: Buy, Robot Human!

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<v Speaker 1>Welcome to Stuff you should know a production of iHeartRadio.

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<v Speaker 2>Hey, and welcome to the podcast. I'm Josh, and there's

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<v Speaker 2>Chuck Charles w Chuck Bryant, the best all around Boy,

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<v Speaker 2>and there's Jerry Rowland. And this is stuff you should

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<v Speaker 2>know about.

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<v Speaker 1>Really, wish I hadn't have told you that. I think

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<v Speaker 1>I've told you that before, though, so you forgot the

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<v Speaker 1>first time, so maybe you'll forget again.

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<v Speaker 2>I can't you know how people keep lists of like

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<v Speaker 2>episodes we say we should do, or movies we've mentioned,

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<v Speaker 2>or something like that. They should keep a list of

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<v Speaker 2>the different things that we've talked about and then completely

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<v Speaker 2>forgot we talked about, because I'm sure it would be extensive.

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<v Speaker 1>Yeah, big list.

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<v Speaker 2>So speaking of big list, Chuck, we're talking today about priming,

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<v Speaker 2>which is the present tense of prime us, and what

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<v Speaker 2>it refers to is a a psychological term where you

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<v Speaker 2>are prompted to respond in a certain way, behave in

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<v Speaker 2>a certain way, choose a certain selection based on some

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<v Speaker 2>prompt that was given to you without your knowledge. It

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<v Speaker 2>could either be so flashed so fast or something on

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<v Speaker 2>a computer screen that your conscious awareness didn't pick up

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<v Speaker 2>on it, or it could just be presented to you

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<v Speaker 2>in a way that you're not you're not aware that

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<v Speaker 2>it's actually related to the thing that you're being say,

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<v Speaker 2>tested on.

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<v Speaker 1>Yeah, exactly. And this is a big, big thing in

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<v Speaker 1>cognitive psychology, and you know, we're going to kind of

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<v Speaker 1>get into the ins and outs of it. Some of it,

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<v Speaker 1>there's there's a lot of for some of it, there's

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<v Speaker 1>a lot of studies that sort of indicate that there's

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<v Speaker 1>a lot to it. There's another part of this that

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<v Speaker 1>we'll get to where there's a lot of studies that

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<v Speaker 1>aren't so great or that have been fudged or data's

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<v Speaker 1>been massaged or completely fabricated, where it seems like sometimes

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<v Speaker 1>they've been found out as far as researchers go. But

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<v Speaker 1>it all comes down to memory. And if you're if

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<v Speaker 1>you're talking to a cognitive psychologist, they'll say that you

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<v Speaker 1>have a couple of ways that you remember things. One

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<v Speaker 1>is your explicit memory or your active or conscious memory.

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<v Speaker 1>Like if you're trying to think of something and you

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<v Speaker 1>actively engage your memory to think of a thing, that's

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<v Speaker 1>what that is.

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<v Speaker 2>If somebody asked, like what was Chuck's senior superlative in

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<v Speaker 2>high school? I would think back to a fact that

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<v Speaker 2>I learned, and I would say best all round boy, is.

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<v Speaker 1>It going to be one of those? And then implicit

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<v Speaker 1>memory is the other one. And that's just what you

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<v Speaker 1>remember on an unconscious level. So if someone asked me

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<v Speaker 1>what was your senior superlo, wouldn't even have to think

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<v Speaker 1>about it, best all around boy, boom, it just pops

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<v Speaker 1>right out as if it were my name.

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<v Speaker 2>Right, So those are and this is really kind of

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<v Speaker 2>like breaking it down to a really rough basic level.

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<v Speaker 2>It's much more complex than that. Well, we bring that

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<v Speaker 2>up because yours. It's tapping into the different ways that

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<v Speaker 2>you access memories that priming is based on. Yeah, and

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<v Speaker 2>you said it falls under the rubric of cognitive psychology,

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<v Speaker 2>and that is true. Cognitive psychology has shown very clearly

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<v Speaker 2>that this actually works. That if you give somebody, say

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<v Speaker 2>a word, and you show them a list of associated words,

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<v Speaker 2>it's going to just happen that they they're able to

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<v Speaker 2>pick out the associated word faster than other words. There, Well,

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<v Speaker 2>we'll give you some examples. Rather than just me mushing

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<v Speaker 2>it all together. Let's let's tease it out a little

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<v Speaker 2>bit like a eighties per.

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<v Speaker 1>Yeah, oh boy, Yeah, Let let's do that, because I

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<v Speaker 1>think if we give some of these examples it'll make

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<v Speaker 1>a little more sense. For instance, this first exercise that

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<v Speaker 1>Dave helped us out with this they found this one.

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<v Speaker 1>It's called the lexical decision, and that is the idea

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<v Speaker 1>that if you put a word up on a screen

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<v Speaker 1>for a couple of seconds as a priming word, then

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<v Speaker 1>as the subject, will indicate the next word on the

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<v Speaker 1>screen if it's real word or if it's a nonsense word,

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<v Speaker 1>but that will be influenced that's your lexical decision you're making,

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<v Speaker 1>but that will be influenced by that priming word that

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<v Speaker 1>you saw. So in this case, Dave, do you use

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<v Speaker 1>the example Doctor You're sitting there in the lab. Bill

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<v Speaker 1>Murray's on the other side, got the shaker already. Doctor

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<v Speaker 1>pops up on the screen for a couple of seconds.

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<v Speaker 1>That's your priming word, and then all of a sudden

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<v Speaker 1>other words pop up after that, and our job as

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<v Speaker 1>a subject is to say whether that's a real word

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<v Speaker 1>or a nonsense word. And obviously you would think if

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<v Speaker 1>the word nurse pops up, you're going to be recognizing

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<v Speaker 1>that a lot faster. So it's all about sort of

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<v Speaker 1>the speed at which you recognize this as a real

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<v Speaker 1>or nonsense word. Nurse would be a much faster decision

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<v Speaker 1>than if it was basketball, right.

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<v Speaker 2>And it's basically words that share a similar category are

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<v Speaker 2>more easily accessed once you've been primed, almost like the

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<v Speaker 2>way that we sort things is by putting them into

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<v Speaker 2>large categories like doctor, nurse, hospital, stethoscope, right, and then

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<v Speaker 2>once you open that category by thinking of doctor, you're

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<v Speaker 2>going to be able to access the other stuff in

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<v Speaker 2>that category much more easily than say something in a

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<v Speaker 2>totally different category like cheese in the same category as delicious,

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<v Speaker 2>that kind of stuff. Right, That seems for sure, that

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<v Speaker 2>seems like what it's tapping into, and it actually seems

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<v Speaker 2>to reveal that that's kind of how we store memories.

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<v Speaker 2>There's another another demonstration that was pretty famous that shows

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<v Speaker 2>for sure. Again, I just want to get this across.

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<v Speaker 2>Cognitive priming really works. If you give people a list

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<v Speaker 2>of words and one of those words has a letter missing,

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<v Speaker 2>say a vowel, that could make multiple different words they're

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<v Speaker 2>going to choose or they're going to fill it in

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<v Speaker 2>differently based on the other words in the list. So,

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<v Speaker 2>for example, if you have a list of words bread, milk, hot,

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<v Speaker 2>and then the last word is so o, blank p,

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<v Speaker 2>poop sure or soup Oh, I think would be a

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<v Speaker 2>good one, right, yeah, And depending on whether you know

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<v Speaker 2>how to spell, you might spell it with an oh

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<v Speaker 2>or you doesn't matter, You're still getting the point across, right.

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<v Speaker 1>Or in another example of the same, you know, missing letter,

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<v Speaker 1>if it was shower, water, wash, so blank p, you

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<v Speaker 1>might say poop there too. Actually, soap would probably be

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<v Speaker 1>the word. So you know, it's just a very intuitive

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<v Speaker 1>kind of thing happening because your brain is working in

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<v Speaker 1>a very unconscious way because or I guess non conscious,

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<v Speaker 1>because it is primed by the words that precede the

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<v Speaker 1>one with a missing letter.

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<v Speaker 2>Right. And then there's also another another There's a number

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<v Speaker 2>of different ways of priming people cognitively, but one that

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<v Speaker 2>just makes total sense, and I think we've all run

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<v Speaker 2>into is repetition priming, to where if you are shown,

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<v Speaker 2>like say, a pair of words, maybe sometimes one of

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<v Speaker 2>which is a nonsense word, and you have to pick

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<v Speaker 2>out the nonsense words. If you see, like in a

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<v Speaker 2>list over and over again, doctor and nurse, doctor and nurse,

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<v Speaker 2>it comes up three times out of a seven word

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<v Speaker 2>pair list. You're going to move through those much more

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<v Speaker 2>quickly because it's right there in the forefront of your mind,

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<v Speaker 2>so it hasn't faded yet, so you're just going to

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<v Speaker 2>pick it out faster and faster the more it's repeated.

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<v Speaker 2>That's a form of priming too.

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<v Speaker 1>Yeah, and these are all really super basic, you know,

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<v Speaker 1>examples of cognitive priming, But it does show a lot

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<v Speaker 1>about how our memory works. That were not just computers

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<v Speaker 1>where we can just access a file by clicking on

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<v Speaker 1>it very easily. We develop shortcuts in our brain. We

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<v Speaker 1>take shortcuts when we see words relating them to other words,

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<v Speaker 1>and so it just makes sense, you know, you could

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<v Speaker 1>access something much much faster because you have been primed.

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<v Speaker 1>In other words, our implicit memory can be tapped into

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<v Speaker 1>a lot quicker than our explicit memory.

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<v Speaker 2>Right. And at the end of each of these experiments,

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<v Speaker 2>it kind of quickly became tradition where the researcher would

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<v Speaker 2>stand up and point at this and be like, you've

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<v Speaker 2>been primed, maybe adding a boo yah once in a while.

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<v Speaker 1>Yeah, and Deon Sanders just moon walks through the background.

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<v Speaker 2>Really, so we know that this is true also, not

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<v Speaker 2>just because study after study has shown that this is

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<v Speaker 2>actually correct. But when you put somebody in the Wonder Machine,

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<v Speaker 2>the fMRI gotta do it. Yeah, they found that, like

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<v Speaker 2>if you ask somebody the name of let's say, Anya

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<v Speaker 2>Taylor Joy, say who was the star of the Witch,

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<v Speaker 2>but also the Gorge, which isn't that good?

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<v Speaker 1>I thought that was fairly entertaining for a not great movie.

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<v Speaker 1>By the way, The Gorge, Yeah, it was highly watchable

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<v Speaker 1>on like a rainy, not feeling so great day kind

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<v Speaker 1>of movie.

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<v Speaker 2>Way, agreed, Yeah, agreed. It just wow, it takes a

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<v Speaker 2>sudden turn. It's just really surprising. But yes, I agree.

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<v Speaker 2>I think that's a good way to put it. You

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<v Speaker 2>would stop and think like, oh, Anya Taylor Joy. And

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<v Speaker 2>by the way, the Queen's Gambit is one of the

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<v Speaker 2>best things I've ever seen in my entire life.

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<v Speaker 1>Oh yeah, yeah, the chess one. Yeah, that was great.

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<v Speaker 2>Okay, but if you also said, you know, name a

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<v Speaker 2>animal that you think of when we'd say the word dog.

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<v Speaker 2>What they found in the fMRI is that different parts

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<v Speaker 2>of your brain light up. So we do know that

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<v Speaker 2>priming does have a certain effect and it is different

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<v Speaker 2>than our normal kind of conscious recall, I.

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<v Speaker 1>Wonder if when they go into the fMRI Wonder Machine room.

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<v Speaker 1>Now the person running it just goes I'm telling you

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<v Speaker 1>what's gonna happen. Some part of light up and then

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<v Speaker 1>another part of light up, and you'll all be super happy.

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<v Speaker 2>Right, you've been primed.

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<v Speaker 1>You've been primed in Deander's very slowly moonwalks.

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<v Speaker 2>So, okay, that's cognitive priming. Now, imagine if you were

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<v Speaker 2>a psychologist and you said cognitive priming is kind of boring.

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<v Speaker 2>What if we could use that same stuff to get

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<v Speaker 2>people to eat more cheeseburgers, Yeah, or to vote for

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<v Speaker 2>a particular candidate in a political election, Like, what if

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<v Speaker 2>priming works for that?

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<v Speaker 1>Yeah? And that's you know, it's all fun in games

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<v Speaker 1>to just sort of look at these little experiments on

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<v Speaker 1>a campus somewhere. But if it has a real world use,

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<v Speaker 1>especially when it comes to marketing and advertising and stuff

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<v Speaker 1>like that, you can bet corporations are going to sink

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<v Speaker 1>some money into doing that.

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<v Speaker 2>Yes, So this is the handoff right here between cognitive

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<v Speaker 2>psychology to social psychology. And social psychology has studied priming

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<v Speaker 2>in great detail. It was a huge hit. You'll remember

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<v Speaker 2>back to nudge Economics, we talked about it in our

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<v Speaker 2>PR Live episode, like it was a big deal in

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<v Speaker 2>like the Late ought to about the twenty twelve. I

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<v Speaker 2>think something like those is just a big deal, and

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<v Speaker 2>it makes a lot of sense, Like it's the basis

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<v Speaker 2>of things like ideas like McDonald's uses red and yellow

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<v Speaker 2>in its logo because those colors are associated with excitement

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<v Speaker 2>or energy, your happiness, or they call it a happy

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<v Speaker 2>meal because over time your kid will associate McDonald's with

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<v Speaker 2>being happy or I'm loving it. It's just a jingle

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<v Speaker 2>or whatever, and it makes sense. It's very catchy, but

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<v Speaker 2>there's some part of your mind that it has been

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<v Speaker 2>primed to later on associate McDonald's with love, a positive feeling.

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<v Speaker 2>All of this is these examples of social psychology research

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<v Speaker 2>supporting this idea that you can prime human beings to

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<v Speaker 2>behave in a certain way just by using these same

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<v Speaker 2>techniques that cognitive psychologists prove work. Dog cat soup, soap,

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<v Speaker 2>that kind of stuff.

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<v Speaker 1>Yeah, as long as you beat them over the head

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<v Speaker 1>with it over and over and over again, because repetition

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<v Speaker 1>is one of the real keys here. Your brain just

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<v Speaker 1>being repeatedly exposed to that stimuli is going to you know,

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<v Speaker 1>strengthen that association over time, and brands know that, and

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<v Speaker 1>that's why it drives you crazy during you know, especially

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<v Speaker 1>like sports playoffs or something, when you see those same

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<v Speaker 1>ads over and over and over again. Yeah, it's a

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<v Speaker 1>it's big business. They're putting a lot of money into

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<v Speaker 1>into you know, sort of manipulating your brain essentially.

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<v Speaker 2>Yeah, I've said it before and I'll say it again.

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<v Speaker 2>For some reason, some ad exec chose morning reruns of Murder.

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<v Speaker 2>She wrote, all right, start TV over the air channel

0:12:55.600 --> 0:12:59.520
<v Speaker 2>network for the Burger King terrible singing.

0:13:01.040 --> 0:13:06.320
<v Speaker 1>There had to be some research into their viewership or something, right, it.

0:13:06.160 --> 0:13:09.120
<v Speaker 2>Had to be. But the thing is, every single other

0:13:09.360 --> 0:13:13.280
<v Speaker 2>ad is for like human life insurance or health insurance

0:13:13.320 --> 0:13:16.679
<v Speaker 2>or dental insurance because you're you're just retired and now

0:13:16.679 --> 0:13:21.120
<v Speaker 2>you have Medicaid. Like every other ad that's almost stood out,

0:13:21.320 --> 0:13:21.920
<v Speaker 2>you know what I mean.

0:13:22.080 --> 0:13:26.480
<v Speaker 1>Well, you know, our senior friends in the world are

0:13:26.760 --> 0:13:29.439
<v Speaker 1>very concerned about their health and their healthcare, and they

0:13:29.480 --> 0:13:31.800
<v Speaker 1>still love those cheeseburgers. That's two things we know.

0:13:32.400 --> 0:13:34.800
<v Speaker 2>I guess that's it. But it really grated on my

0:13:34.840 --> 0:13:36.720
<v Speaker 2>nerves because I watched that almost every day.

0:13:37.240 --> 0:13:38.959
<v Speaker 1>All right, why don't we take a break here. That's

0:13:38.960 --> 0:13:42.000
<v Speaker 1>a good table setting, I think, and we'll get back

0:13:42.040 --> 0:13:45.840
<v Speaker 1>to how this is used in media and politics. Should

0:13:45.880 --> 0:14:37.840
<v Speaker 1>be no surprise right after this. All right, so we're back,

0:14:37.840 --> 0:14:39.680
<v Speaker 1>as promised. We're going to talk a little bit about

0:14:39.880 --> 0:14:42.520
<v Speaker 1>the media and politics, hopefully in a way that's just

0:14:42.520 --> 0:14:44.800
<v Speaker 1>sort of quick and easy and doesn't ruffle too many feathers,

0:14:44.840 --> 0:14:49.120
<v Speaker 1>because what we've seen is media of all stripes do this,

0:14:49.800 --> 0:14:52.880
<v Speaker 1>and politicians of all stripes do this. So it's not

0:14:53.120 --> 0:14:56.480
<v Speaker 1>singling anybody out. But when the media gets involved in

0:14:56.480 --> 0:14:59.520
<v Speaker 1>this kind of thing to shape public opinion, they do

0:14:59.640 --> 0:15:05.440
<v Speaker 1>so sort of a three pronged fork, which is agenda setting, framing,

0:15:05.560 --> 0:15:10.080
<v Speaker 1>and priming. Agenda setting being like, hey, what's what are

0:15:10.080 --> 0:15:13.040
<v Speaker 1>we going to focus on editorially maybe in today's paper

0:15:13.480 --> 0:15:16.480
<v Speaker 1>or every day until the election? How are you going

0:15:16.520 --> 0:15:19.800
<v Speaker 1>to frame this thing to suit what we feel is

0:15:19.960 --> 0:15:25.440
<v Speaker 1>probably our slant? And then priming it's basically, you know,

0:15:25.560 --> 0:15:28.320
<v Speaker 1>similar to the first two, but this is the subconscious

0:15:28.320 --> 0:15:30.360
<v Speaker 1>things where we're going to repeat things. We're going to

0:15:30.440 --> 0:15:34.680
<v Speaker 1>use certain words, certain images as to just sort of

0:15:34.880 --> 0:15:36.240
<v Speaker 1>reinforce how we framed it.

0:15:37.000 --> 0:15:39.600
<v Speaker 2>Yeah, so just for a quick example, let's say the

0:15:39.640 --> 0:15:44.840
<v Speaker 2>news decides to focus on crime, and that the framing

0:15:44.880 --> 0:15:48.440
<v Speaker 2>they uses that crime is on the rise, and you

0:15:48.520 --> 0:15:50.840
<v Speaker 2>hear about this over and over again, night after night

0:15:50.880 --> 0:15:52.720
<v Speaker 2>on the news, or you read about it over and

0:15:52.760 --> 0:15:56.680
<v Speaker 2>over again on your favorite news site. Eventually you're going

0:15:56.720 --> 0:15:59.680
<v Speaker 2>to be primed to think that crime is on the rise,

0:16:00.120 --> 0:16:02.080
<v Speaker 2>and you might even be a little scared of it.

0:16:02.240 --> 0:16:07.280
<v Speaker 2>Or relating to politics, a politician might latch onto that

0:16:07.320 --> 0:16:09.040
<v Speaker 2>and be like, crime's really hot right now. We're going

0:16:09.120 --> 0:16:12.720
<v Speaker 2>to make crime like the main point. We're going to

0:16:12.880 --> 0:16:15.800
<v Speaker 2>use it to set the agenda of our campaign, and

0:16:15.840 --> 0:16:19.360
<v Speaker 2>we're going to tap into that fear that this person,

0:16:19.440 --> 0:16:21.720
<v Speaker 2>this lack of safety that the people out there watching

0:16:21.760 --> 0:16:24.080
<v Speaker 2>the news feel because they're being told over and over

0:16:24.120 --> 0:16:26.400
<v Speaker 2>again crime is on the rise. Whether it is or not,

0:16:26.480 --> 0:16:27.600
<v Speaker 2>as irrelevant.

0:16:27.160 --> 0:16:30.040
<v Speaker 1>Yeah, there's no data, feel that it is exactly.

0:16:29.840 --> 0:16:32.760
<v Speaker 2>They feel that crime is on the rise. So we

0:16:33.440 --> 0:16:35.840
<v Speaker 2>a politician, are going to tap into that and use

0:16:35.880 --> 0:16:39.000
<v Speaker 2>it to helpfully get an election, because now we can

0:16:39.080 --> 0:16:42.000
<v Speaker 2>prime them to get that emotional response out of them

0:16:42.040 --> 0:16:44.400
<v Speaker 2>over and over again until we finally move them to

0:16:44.440 --> 0:16:48.479
<v Speaker 2>the voting stations to vote for me the politician.

0:16:48.720 --> 0:16:50.160
<v Speaker 1>That's right, I'd vote for you.

0:16:50.200 --> 0:16:54.760
<v Speaker 2>By the way, I would never ever run for public life.

0:16:54.840 --> 0:16:56.920
<v Speaker 1>Oh of course you wouldn't, but I would never. I

0:16:56.920 --> 0:16:59.280
<v Speaker 1>would vote for you for like, you know, Neighborhood Watch

0:16:59.320 --> 0:16:59.720
<v Speaker 1>or something.

0:17:00.280 --> 0:17:02.680
<v Speaker 2>Would you vote for me for best all Round? Boy?

0:17:03.560 --> 0:17:06.440
<v Speaker 1>Oh man, I mean you got that one in the bag, buddy.

0:17:06.480 --> 0:17:07.120
<v Speaker 1>You don't need my.

0:17:07.119 --> 0:17:08.399
<v Speaker 2>Vote, thank you.

0:17:10.240 --> 0:17:12.480
<v Speaker 1>Dog Whistling is something that you know, you've heard more

0:17:12.520 --> 0:17:15.560
<v Speaker 1>and more as a sort of a term used and

0:17:16.760 --> 0:17:19.240
<v Speaker 1>you know, social media politics, on the news, stuff like that,

0:17:19.320 --> 0:17:22.160
<v Speaker 1>And that is when you use a word or phrase

0:17:22.280 --> 0:17:25.560
<v Speaker 1>that you sort of are in not sort of, you

0:17:25.600 --> 0:17:30.359
<v Speaker 1>are very much intentionally associating with a negative racial stereotype.

0:17:30.800 --> 0:17:35.560
<v Speaker 1>But it's not explicit, so it operates on the unconscious level.

0:17:36.280 --> 0:17:40.600
<v Speaker 1>And this is where they tap into implicit bias, something

0:17:40.640 --> 0:17:45.040
<v Speaker 1>that everybody has, and you know, using these coded words.

0:17:45.080 --> 0:17:48.760
<v Speaker 1>Basically there are things that I will never take one

0:17:48.800 --> 0:17:50.760
<v Speaker 1>of these. It scares me to death. So I would

0:17:50.760 --> 0:17:53.840
<v Speaker 1>never sit down for an implicit bias test because I

0:17:53.840 --> 0:17:57.360
<v Speaker 1>don't want to know what my implicit biases are. It's

0:17:57.359 --> 0:18:01.040
<v Speaker 1>absolutely terrifying because we all have them. I guess that's

0:18:01.040 --> 0:18:03.520
<v Speaker 1>probably cowardly and I should know what my implicit biases

0:18:03.520 --> 0:18:05.960
<v Speaker 1>are so I can try and correct those. But it's

0:18:06.000 --> 0:18:08.200
<v Speaker 1>basically when they sit you down and then you say,

0:18:09.040 --> 0:18:11.880
<v Speaker 1>all right, respond very quickly as quick as you can

0:18:12.000 --> 0:18:16.119
<v Speaker 1>to a series of images or words, and anything within

0:18:16.160 --> 0:18:20.040
<v Speaker 1>two hundred and six hundred milliseconds is your implicit memory.

0:18:20.560 --> 0:18:24.199
<v Speaker 1>Anything after that you're thinking about, and they that's explicit memory.

0:18:24.920 --> 0:18:30.280
<v Speaker 2>Right. Two things about that. One If every if implicit

0:18:30.320 --> 0:18:34.359
<v Speaker 2>bias is a universal thing and everybody has it, you're free, Okay,

0:18:34.359 --> 0:18:36.600
<v Speaker 2>I have to feel as bad about it. I mean,

0:18:36.640 --> 0:18:38.800
<v Speaker 2>it's definitely something you should work to correct, if you say,

0:18:38.960 --> 0:18:41.040
<v Speaker 2>but you don't have to feel like it's just you.

0:18:41.440 --> 0:18:41.640
<v Speaker 1>Right.

0:18:42.359 --> 0:18:45.040
<v Speaker 2>That's one thing. And then the second thing, too, Chuck,

0:18:45.200 --> 0:18:49.560
<v Speaker 2>is if it is true that we all are implicitly biased,

0:18:50.320 --> 0:18:54.480
<v Speaker 2>say like along racial lines. I feel like you could

0:18:54.480 --> 0:18:58.760
<v Speaker 2>explain it by saying, by it's an example of our

0:18:58.920 --> 0:19:03.600
<v Speaker 2>evolutionary history not being caught up yet to our current

0:19:03.760 --> 0:19:08.639
<v Speaker 2>social history. Like when we foreign modern societies, we jumped

0:19:08.800 --> 0:19:12.520
<v Speaker 2>light years ahead as far as evolution goes, and the

0:19:13.880 --> 0:19:16.080
<v Speaker 2>way that we think and see the world just completely

0:19:16.480 --> 0:19:21.200
<v Speaker 2>just hit warp speed. But evolutionarily there's still a big

0:19:21.320 --> 0:19:24.600
<v Speaker 2>lag catching up to it. So we're fearful of people

0:19:24.840 --> 0:19:27.720
<v Speaker 2>who don't look like us, or have a slightly different culture,

0:19:27.840 --> 0:19:31.800
<v Speaker 2>live in a different nation, just evolutionarily speaking, even though

0:19:31.840 --> 0:19:34.520
<v Speaker 2>we know we shouldn't feel that way, that that's not

0:19:34.560 --> 0:19:39.040
<v Speaker 2>actually how things are. That conflict between those two things

0:19:39.160 --> 0:19:40.560
<v Speaker 2>is what the real issue is.

0:19:40.840 --> 0:19:43.880
<v Speaker 1>Yeah, oh boy, that really lets us all off the hook.

0:19:43.960 --> 0:19:47.520
<v Speaker 2>I guess, right, So we don't have to do anything

0:19:47.560 --> 0:19:50.760
<v Speaker 2>about it. It'll work itself out in ten thousand years.

0:19:50.920 --> 0:19:53.320
<v Speaker 1>Well, here's the thing, though, is when people sit down

0:19:53.320 --> 0:19:56.440
<v Speaker 1>for these tests, they found that even people who explicitly

0:19:56.480 --> 0:19:59.000
<v Speaker 1>disagree with any kind of racial stereotype and like, I

0:19:59.000 --> 0:20:00.760
<v Speaker 1>would never do that, I don't have those at all.

0:20:01.560 --> 0:20:04.160
<v Speaker 1>They even while I was about to say, fail those tests,

0:20:04.200 --> 0:20:07.480
<v Speaker 1>they even chart on those tests as showing implicit bias.

0:20:07.880 --> 0:20:12.520
<v Speaker 2>Right, so we've made it pretty squarely into social psychology

0:20:12.600 --> 0:20:15.879
<v Speaker 2>territory I now. And there were some there were some

0:20:16.000 --> 0:20:20.120
<v Speaker 2>early experiments trying to figure out how you can persuade

0:20:20.119 --> 0:20:21.280
<v Speaker 2>people using priming.

0:20:21.640 --> 0:20:24.080
<v Speaker 1>Right, he's like the seventies, right, yeah.

0:20:24.040 --> 0:20:28.160
<v Speaker 2>Late seventies, early eighties, and so one of the first

0:20:28.160 --> 0:20:31.280
<v Speaker 2>ones came out of nineteen seventy nine, and it was

0:20:31.280 --> 0:20:36.280
<v Speaker 2>a social psychology experiment where you gave people scrambled, like

0:20:36.400 --> 0:20:38.920
<v Speaker 2>a scrambled word list and said make a sentence out

0:20:38.960 --> 0:20:42.760
<v Speaker 2>of this, right, And so you would get something neutral

0:20:42.800 --> 0:20:48.159
<v Speaker 2>like her found new eye and I knew her is

0:20:48.320 --> 0:20:51.240
<v Speaker 2>a sentence you could make out of that, or you

0:20:51.240 --> 0:20:55.480
<v Speaker 2>would give something like leg break arm his You could say,

0:20:55.520 --> 0:20:59.119
<v Speaker 2>break his arm. And so one group was given more

0:20:59.440 --> 0:21:03.720
<v Speaker 2>hostile word scrambles to make sentences out of the other

0:21:03.880 --> 0:21:07.200
<v Speaker 2>was more neutral, And then that was part one. After

0:21:07.240 --> 0:21:12.760
<v Speaker 2>that they were asked to consider a hypothetical scenario in

0:21:12.800 --> 0:21:17.439
<v Speaker 2>which somebody's kind of ambiguously responding or interacting with somebody.

0:21:17.440 --> 0:21:20.120
<v Speaker 2>I think I saw that Donald is refusing to pay

0:21:20.160 --> 0:21:23.440
<v Speaker 2>rent until his landlord paints his apartment, and the people

0:21:23.520 --> 0:21:28.240
<v Speaker 2>who were given the hostile word scrambles rated Donald is

0:21:28.359 --> 0:21:30.719
<v Speaker 2>much more hostile than the people who are given the

0:21:30.760 --> 0:21:33.639
<v Speaker 2>neutral word scrambles. So what they're showing is that you

0:21:33.680 --> 0:21:37.840
<v Speaker 2>can nudge people toward forming an impression about someone they

0:21:37.880 --> 0:21:42.119
<v Speaker 2>know basically nothing about, based on priming them, yeah, to

0:21:42.200 --> 0:21:45.080
<v Speaker 2>feel one way or another about them. And then that

0:21:45.280 --> 0:21:47.800
<v Speaker 2>was like, if we can do that, man, what else

0:21:47.840 --> 0:21:50.040
<v Speaker 2>can we do? That really opened the floodgates.

0:21:50.320 --> 0:21:53.359
<v Speaker 1>Yeah, and you know we're about to tick through a

0:21:53.400 --> 0:21:57.160
<v Speaker 1>series of little things like that that might be mind

0:21:57.200 --> 0:21:58.879
<v Speaker 1>blowing for you where you're like, oh my god, I

0:21:58.880 --> 0:22:01.439
<v Speaker 1>can't believe that works, but just you know, sort of

0:22:01.600 --> 0:22:05.159
<v Speaker 1>put that in your pocket for now. There was one

0:22:05.240 --> 0:22:08.960
<v Speaker 1>study where it was again it was unscrambling sentences. Half

0:22:09.000 --> 0:22:12.359
<v Speaker 1>the people were given sentences that had words that were

0:22:12.560 --> 0:22:16.199
<v Speaker 1>you know, like healthier, healthy, and active lifestyle words. The

0:22:16.240 --> 0:22:19.760
<v Speaker 1>other half got neutral words, and afterward they said, all right,

0:22:19.840 --> 0:22:22.280
<v Speaker 1>you guys are great. You can go ahead and leave there.

0:22:22.359 --> 0:22:25.359
<v Speaker 1>You can you know, go up the stairs there and

0:22:25.680 --> 0:22:27.959
<v Speaker 1>get out of here to the parking deck up there,

0:22:28.080 --> 0:22:31.199
<v Speaker 1>or you can take the elevator. And people who unscrambled

0:22:31.200 --> 0:22:34.200
<v Speaker 1>the healthy words were more likely to take the stairs afterward,

0:22:35.160 --> 0:22:37.440
<v Speaker 1>so you know, they're like, hey, that's pretty much proof

0:22:37.520 --> 0:22:39.879
<v Speaker 1>right there. They had been primed with these healthy words

0:22:40.119 --> 0:22:41.840
<v Speaker 1>to make a healthier decision afterward.

0:22:42.680 --> 0:22:45.479
<v Speaker 2>Right And well, like you said, we'll talk about some

0:22:45.520 --> 0:22:49.320
<v Speaker 2>of the more shocking or surprising studies, but before that,

0:22:49.400 --> 0:22:52.520
<v Speaker 2>we need to mention a guy named John Barg who

0:22:53.000 --> 0:22:55.960
<v Speaker 2>became basically the rock star of this field starting in

0:22:56.000 --> 0:23:02.399
<v Speaker 2>the nineties. He essentially wrote a paper that said, like

0:23:02.880 --> 0:23:05.879
<v Speaker 2>all of this is possible, Like, here's how you do that.

0:23:05.920 --> 0:23:09.879
<v Speaker 2>Here's how you take the findings of cognitive priming and

0:23:09.960 --> 0:23:13.320
<v Speaker 2>turn it into social or behavioral priming. And he was

0:23:13.480 --> 0:23:16.439
<v Speaker 2>very famous for a couple of studies, many studies, but

0:23:16.480 --> 0:23:19.600
<v Speaker 2>there's two that really stuck out to me that Let

0:23:19.600 --> 0:23:22.040
<v Speaker 2>me give you an example. One is that he tested

0:23:22.560 --> 0:23:27.119
<v Speaker 2>whether something is as random as temperature could affect your

0:23:27.160 --> 0:23:28.600
<v Speaker 2>impression of another person.

0:23:29.000 --> 0:23:30.679
<v Speaker 1>Yeah, I thought that was interesting because it was like

0:23:30.720 --> 0:23:32.959
<v Speaker 1>they'd use words and finally like, hey, I wonder if

0:23:33.359 --> 0:23:36.520
<v Speaker 1>words worked, if images only alone could work? And then

0:23:36.560 --> 0:23:39.840
<v Speaker 1>he was like, hold my beer, right, what about just

0:23:39.880 --> 0:23:44.359
<v Speaker 1>temperature alone? So in this one, he asked participants to

0:23:44.680 --> 0:23:47.320
<v Speaker 1>hold a something warm, like a cup of coffee or

0:23:47.359 --> 0:23:50.800
<v Speaker 1>warm cup of soup or something, or a frosty cold beverage,

0:23:50.840 --> 0:23:53.119
<v Speaker 1>and then they bring them in a room where they

0:23:53.119 --> 0:23:56.320
<v Speaker 1>have a conversation with a stranger and they found that

0:23:56.800 --> 0:23:59.479
<v Speaker 1>or he found he claimed to find that people who

0:23:59.600 --> 0:24:02.840
<v Speaker 1>were with that warm bread beverage had a warmer impression

0:24:02.880 --> 0:24:05.880
<v Speaker 1>of that stranger afterward, and people who had that cold

0:24:05.960 --> 0:24:10.080
<v Speaker 1>beverage frostier had eight you know, they felt frostier toward

0:24:10.160 --> 0:24:10.600
<v Speaker 1>that person.

0:24:11.359 --> 0:24:13.679
<v Speaker 2>Right, So that means that you can nudge people to

0:24:13.720 --> 0:24:18.840
<v Speaker 2>feel a certain way based on metaphor. Priming using metaphor

0:24:18.920 --> 0:24:21.119
<v Speaker 2>and not even words or images, but temperature.

0:24:21.280 --> 0:24:21.720
<v Speaker 1>Yeah.

0:24:22.119 --> 0:24:24.639
<v Speaker 2>Another one that he figured out was and this is

0:24:24.680 --> 0:24:26.720
<v Speaker 2>the one he's really famous for. I think this is

0:24:26.760 --> 0:24:30.159
<v Speaker 2>the one that came from his nineteen ninety six paper.

0:24:30.840 --> 0:24:34.880
<v Speaker 2>But he tested to see how certain kinds of words

0:24:34.920 --> 0:24:38.800
<v Speaker 2>affect certain kinds of behavior. And he took some nineteen

0:24:38.880 --> 0:24:41.919
<v Speaker 2>twenty twenty one year old students and had them do

0:24:42.080 --> 0:24:46.840
<v Speaker 2>that famous word scramble. Priming researchers love word scrambles. Yeah,

0:24:47.600 --> 0:24:51.960
<v Speaker 2>and some had just a normal neutral set of words

0:24:52.600 --> 0:24:55.760
<v Speaker 2>to pick out from. Another had sets of words that

0:24:56.440 --> 0:25:03.000
<v Speaker 2>were associated with being old, so straight ahead that you'd

0:25:03.000 --> 0:25:05.600
<v Speaker 2>be like, these are all old people words, but they

0:25:05.600 --> 0:25:09.640
<v Speaker 2>were like bingo or florida or wrinkles, that kind of stuff. Right.

0:25:10.400 --> 0:25:12.959
<v Speaker 2>That was part one, And then the students who were

0:25:13.000 --> 0:25:16.080
<v Speaker 2>participating thought that they were done at that point, but

0:25:16.240 --> 0:25:18.320
<v Speaker 2>he said, Okay, now we've got to do part two.

0:25:18.400 --> 0:25:20.159
<v Speaker 2>But we're gonna have to go to the end of

0:25:20.200 --> 0:25:22.440
<v Speaker 2>the hall and turn right and where there's another lab

0:25:22.480 --> 0:25:24.119
<v Speaker 2>we need to go to for the second part of

0:25:24.160 --> 0:25:27.000
<v Speaker 2>this test. But the real thing he was doing was

0:25:27.080 --> 0:25:29.639
<v Speaker 2>clocking how long it took the students to make it

0:25:29.680 --> 0:25:32.119
<v Speaker 2>from one end of the hall to the other. And

0:25:32.160 --> 0:25:35.439
<v Speaker 2>he found the people who had who had worked with

0:25:35.520 --> 0:25:40.040
<v Speaker 2>word scrambles that had age or old elder related words

0:25:40.920 --> 0:25:44.760
<v Speaker 2>walked slower than the people who had the neutral words.

0:25:45.280 --> 0:25:48.560
<v Speaker 2>And this was the one this experiment, Chuck, is what

0:25:49.119 --> 0:25:52.879
<v Speaker 2>broke open. This is what led to nudge economics. This

0:25:52.920 --> 0:25:56.640
<v Speaker 2>is what led to governments saying like, man, we could

0:25:56.720 --> 0:25:59.359
<v Speaker 2>use this to like move people in a way that

0:25:59.440 --> 0:26:02.600
<v Speaker 2>we want them. Two that's healthier and happier. This is

0:26:02.640 --> 0:26:03.679
<v Speaker 2>the study that did that.

0:26:04.520 --> 0:26:06.720
<v Speaker 1>Yeah, and here's my I mean, I hope I'm not

0:26:06.760 --> 0:26:09.679
<v Speaker 1>giving anything away for act three when we sort of

0:26:10.240 --> 0:26:13.880
<v Speaker 1>rained down our judgment upon this stuff. But like even

0:26:13.880 --> 0:26:15.760
<v Speaker 1>when I was first going through this, I was like,

0:26:16.560 --> 0:26:19.000
<v Speaker 1>I even know, there are so many variables to account

0:26:19.040 --> 0:26:21.400
<v Speaker 1>for in these experiments that there's no way they're accounting

0:26:21.440 --> 0:26:24.720
<v Speaker 1>for him like the taking the stairs or taking the elevator,

0:26:25.240 --> 0:26:27.639
<v Speaker 1>like who was tired that day, who had a bum

0:26:27.680 --> 0:26:31.280
<v Speaker 1>ankle or who you know, There's just so many different

0:26:31.359 --> 0:26:33.639
<v Speaker 1>variables to account for on why someone would take the

0:26:33.640 --> 0:26:37.520
<v Speaker 1>stairs or an elevator, or why somebody would walk slower

0:26:37.520 --> 0:26:39.600
<v Speaker 1>down the hall. Maybe they were super bored by this

0:26:39.720 --> 0:26:42.480
<v Speaker 1>experiment and so they walked a little more sluggish or

0:26:42.480 --> 0:26:45.719
<v Speaker 1>something like that, and those types of variables there's they

0:26:45.720 --> 0:26:47.840
<v Speaker 1>weren't accounting for. Ever, it seems like.

0:26:48.480 --> 0:26:51.800
<v Speaker 2>I think we can just go ahead and reveal. Now

0:26:52.119 --> 0:26:52.600
<v Speaker 2>what do you think?

0:26:53.080 --> 0:26:54.119
<v Speaker 1>Yeah? Sure, so.

0:26:54.400 --> 0:26:57.199
<v Speaker 2>I wish you had been illuminary in the field of

0:26:57.200 --> 0:27:00.520
<v Speaker 2>social psychology and priming research back in the late nineties

0:27:00.560 --> 0:27:02.480
<v Speaker 2>or eight two thousands, because you could have derailed this

0:27:02.560 --> 0:27:05.800
<v Speaker 2>whole thing before it ever got started. Because if that

0:27:05.840 --> 0:27:09.200
<v Speaker 2>seemed ridiculous to you, that idea that you could suggest

0:27:10.040 --> 0:27:13.520
<v Speaker 2>old related or age related words to twenty year olds

0:27:13.600 --> 0:27:15.840
<v Speaker 2>and they're going to walk slower because they were just

0:27:15.880 --> 0:27:19.840
<v Speaker 2>thinking about being elderly. Yeah, if that seems ridiculous to you,

0:27:19.840 --> 0:27:23.520
<v Speaker 2>you are one hundred percent right. Okay, it's a ridiculous study,

0:27:24.000 --> 0:27:28.320
<v Speaker 2>and it's ridiculous that the entire field of social psychology, economics,

0:27:28.640 --> 0:27:32.960
<v Speaker 2>the politics paid attention to this and went all in

0:27:33.080 --> 0:27:35.800
<v Speaker 2>on it. But what we have, what we're actually talking

0:27:35.800 --> 0:27:39.600
<v Speaker 2>about today, is one of the biggest black eyes in

0:27:39.640 --> 0:27:44.400
<v Speaker 2>the history of psychology that didn't involve torturing human beings.

0:27:44.640 --> 0:27:47.399
<v Speaker 1>Yeah, but you know, let's tick through a few of

0:27:47.440 --> 0:27:50.200
<v Speaker 1>these that you found kind of quickly, because I think

0:27:50.240 --> 0:27:54.000
<v Speaker 1>it just illustrates, though, how a company or or a

0:27:54.040 --> 0:27:56.800
<v Speaker 1>political party would really latch onto this when they see

0:27:56.800 --> 0:27:59.520
<v Speaker 1>stuff like this right without kind of like critically thinking

0:27:59.520 --> 0:28:03.200
<v Speaker 1>on how they got there. One study exposure to fishy

0:28:03.240 --> 0:28:07.919
<v Speaker 1>smells would induce suspicion on trust based economic exchanges in

0:28:07.920 --> 0:28:11.040
<v Speaker 1>a trust game. In other words, like they smelled something fishy,

0:28:11.160 --> 0:28:13.480
<v Speaker 1>so they're going to carry that over as in something

0:28:13.480 --> 0:28:14.199
<v Speaker 1>smells fishy.

0:28:15.320 --> 0:28:18.439
<v Speaker 2>Can you imagine reading that in a scholarly, scholarly journal

0:28:18.440 --> 0:28:20.520
<v Speaker 2>and being like, man, that's that's really crazy.

0:28:20.600 --> 0:28:22.639
<v Speaker 1>I would say this paper smells like tuna.

0:28:25.040 --> 0:28:28.400
<v Speaker 2>There's another one. Remember power poses. I specifically remember John

0:28:28.480 --> 0:28:32.120
<v Speaker 2>Hodgman realizing that I was nervous backstage at the Bellhouse

0:28:32.119 --> 0:28:35.000
<v Speaker 2>once and telling me to do a power pose. Oh really,

0:28:35.040 --> 0:28:36.800
<v Speaker 2>to get over my stage fright. And I was like,

0:28:36.840 --> 0:28:39.400
<v Speaker 2>this isn't working. The reason it doesn't work is because

0:28:39.440 --> 0:28:41.920
<v Speaker 2>that was a finding from priming.

0:28:43.040 --> 0:28:46.760
<v Speaker 1>Oh man, did you did you text him and say

0:28:47.040 --> 0:28:48.040
<v Speaker 1>you're full of crap?

0:28:48.640 --> 0:28:52.960
<v Speaker 2>No, I'm gonna let him hear this episode. Okay, there's

0:28:53.000 --> 0:28:55.760
<v Speaker 2>another one. If you make a frownie face and you're

0:28:55.760 --> 0:28:58.800
<v Speaker 2>shown upsetting pictures, you will self report that should be

0:28:58.840 --> 0:29:02.400
<v Speaker 2>a red flag in and of us that you were

0:29:02.560 --> 0:29:07.880
<v Speaker 2>upset by pictures of starving children, people arguing accident victims

0:29:07.880 --> 0:29:11.720
<v Speaker 2>that had been maimed more than people who weren't making

0:29:11.720 --> 0:29:14.200
<v Speaker 2>a frownie face at the time they saw the pictures.

0:29:14.520 --> 0:29:19.320
<v Speaker 1>Yeah, here's one that's interesting to me. Money primed people

0:29:19.360 --> 0:29:22.320
<v Speaker 1>are more selfish. So if you're I guess they did

0:29:22.360 --> 0:29:25.120
<v Speaker 1>this experiment with people who made a lot of money

0:29:25.120 --> 0:29:26.280
<v Speaker 1>and people who didn't.

0:29:27.200 --> 0:29:30.760
<v Speaker 2>I think it was they were winning money in like games.

0:29:30.960 --> 0:29:33.520
<v Speaker 1>Oh okay, okay, But the long and short of it is,

0:29:34.040 --> 0:29:36.200
<v Speaker 1>if you were one of the money people, quote unquote,

0:29:36.760 --> 0:29:39.680
<v Speaker 1>then you would not if someone spilled their pencils like

0:29:39.680 --> 0:29:41.640
<v Speaker 1>one of the researchers, like, oh look at me, I

0:29:41.640 --> 0:29:44.160
<v Speaker 1>spilled all these pencils, they wouldn't pick up as many

0:29:44.200 --> 0:29:46.720
<v Speaker 1>pencils as someone who didn't have the money. So people

0:29:46.720 --> 0:29:51.280
<v Speaker 1>without money are kinder. I can see where that's going

0:29:51.320 --> 0:29:53.480
<v Speaker 1>in a way, But there are also just so many

0:29:53.560 --> 0:29:55.200
<v Speaker 1>variables in that, you.

0:29:55.160 --> 0:29:59.480
<v Speaker 2>Know, right, And also if your study is supporting just

0:29:59.520 --> 0:30:02.000
<v Speaker 2>a general moral judgment against.

0:30:01.600 --> 0:30:04.120
<v Speaker 1>A certain group, yeah.

0:30:03.440 --> 0:30:06.160
<v Speaker 2>It may have been biased in and of itself. Right,

0:30:06.200 --> 0:30:08.880
<v Speaker 2>it's a good point. There's another one. I love this.

0:30:08.960 --> 0:30:10.160
<v Speaker 1>At least last two are great.

0:30:10.480 --> 0:30:14.600
<v Speaker 2>If you think about stabbing a coworker in the back metaphorically,

0:30:15.360 --> 0:30:19.080
<v Speaker 2>you are more inclined when given a choice to buy soap, detergent,

0:30:19.200 --> 0:30:22.240
<v Speaker 2>or disinfectant than you are to buy batteries, juice, or

0:30:22.280 --> 0:30:23.440
<v Speaker 2>candy bars.

0:30:25.160 --> 0:30:26.560
<v Speaker 1>Out damned spot.

0:30:26.680 --> 0:30:29.200
<v Speaker 2>Yes exactly. Why don't you give him the last one? Chuck?

0:30:30.440 --> 0:30:33.920
<v Speaker 1>Okay, if you were in this experiment, you were induced

0:30:33.920 --> 0:30:37.480
<v Speaker 1>to lie to an imaginary person, either in an email

0:30:37.520 --> 0:30:39.560
<v Speaker 1>or a phone call. And then and a test that

0:30:39.600 --> 0:30:44.280
<v Speaker 1>followed that of the desirability of different products. People who

0:30:44.320 --> 0:30:47.280
<v Speaker 1>lied on the people who lied on the telephone they

0:30:47.280 --> 0:30:52.160
<v Speaker 1>actually said to lie out loud, preferred mouthwash over soap,

0:30:52.240 --> 0:30:54.120
<v Speaker 1>and people who typed it out and light in the

0:30:54.120 --> 0:30:56.640
<v Speaker 1>email preferred soap to mouthwash.

0:30:56.840 --> 0:31:00.280
<v Speaker 2>Yeah, the first group preferred mouthwash to soap and less

0:31:00.280 --> 0:31:05.960
<v Speaker 2>the soap was lifeboy. Right, So okay, yes, we should

0:31:05.960 --> 0:31:08.880
<v Speaker 2>probably rein it back a little bit. Yeah, because our

0:31:09.000 --> 0:31:11.640
<v Speaker 2>bias is showing. But for good reason. I mean, we

0:31:11.680 --> 0:31:14.840
<v Speaker 2>should say priming is not just this point of ridicule. This,

0:31:15.680 --> 0:31:19.960
<v Speaker 2>it just comple the bottom fell out of this really hot,

0:31:20.120 --> 0:31:24.120
<v Speaker 2>super sexy field of research that everyone had bought into,

0:31:24.880 --> 0:31:28.440
<v Speaker 2>like a mud slide going down a mountain, Like it

0:31:28.720 --> 0:31:32.920
<v Speaker 2>just erupted. It was. It went so south so fast

0:31:33.280 --> 0:31:37.760
<v Speaker 2>that today, about about almost fifteen years on, since the

0:31:37.920 --> 0:31:42.400
<v Speaker 2>everybody was like, this is all made up. It's essentially

0:31:42.480 --> 0:31:45.160
<v Speaker 2>a discredited field. Like there's almost no one working in

0:31:45.200 --> 0:31:47.920
<v Speaker 2>this anymore, because most people are like, this isn't true.

0:31:50.040 --> 0:31:52.160
<v Speaker 1>Yeah, but that's not to say that they're like people

0:31:52.160 --> 0:31:55.680
<v Speaker 1>didn't get a lot of like legitimate recognition for this stuff.

0:31:55.720 --> 0:31:59.040
<v Speaker 1>Like there were people won Nobel prizes who worked on

0:31:59.080 --> 0:32:02.000
<v Speaker 1>this stuff and wrote selling books, who worked on this

0:32:02.040 --> 0:32:05.240
<v Speaker 1>stuff and made millions of dollars, like speaking to corporations

0:32:05.920 --> 0:32:08.520
<v Speaker 1>about how they can better, you know, take advantage of

0:32:08.520 --> 0:32:12.360
<v Speaker 1>their consumers. So it was it was swallowed, hook line

0:32:12.400 --> 0:32:12.920
<v Speaker 1>and sinker.

0:32:13.400 --> 0:32:16.520
<v Speaker 2>So let's give you an example. Daniel Kahneman. He was

0:32:16.560 --> 0:32:22.120
<v Speaker 2>a Nobel already a Nobel Prize winning economist. He wrote

0:32:22.160 --> 0:32:25.640
<v Speaker 2>Thinking Fast and Slow, and it was essentially an introduction

0:32:26.200 --> 0:32:32.760
<v Speaker 2>to nudge economics and priming for the average person. And

0:32:32.800 --> 0:32:35.680
<v Speaker 2>it was a huge bestseller. I mean, everybody was reading

0:32:35.760 --> 0:32:37.280
<v Speaker 2>that book back in the day. I think it was

0:32:37.360 --> 0:32:39.280
<v Speaker 2>two thousand and two.

0:32:40.000 --> 0:32:41.080
<v Speaker 1>Okay, yeah.

0:32:41.880 --> 0:32:47.760
<v Speaker 2>In this book he says, this is a quote. Disbelief

0:32:47.880 --> 0:32:50.720
<v Speaker 2>is not an option. The results are not made up,

0:32:51.000 --> 0:32:54.120
<v Speaker 2>nor are they statistical flukes. You have no choice but

0:32:54.200 --> 0:32:57.400
<v Speaker 2>to accept that the major conclusions of these studies are true.

0:32:58.120 --> 0:33:00.680
<v Speaker 2>You have no choice but to say that this is true.

0:33:00.720 --> 0:33:03.600
<v Speaker 2>So just get on board. This was like a Nobel

0:33:03.640 --> 0:33:07.400
<v Speaker 2>prize wing economist who was a psychologist himself, who wrote

0:33:07.440 --> 0:33:09.600
<v Speaker 2>that to the rest of the world, saying like, don't

0:33:09.600 --> 0:33:12.600
<v Speaker 2>even question priming. This is true. Let's figure out how

0:33:12.640 --> 0:33:14.960
<v Speaker 2>to use it to persuade people to do what we want.

0:33:15.400 --> 0:33:18.480
<v Speaker 1>Yeah, there was another guy. We talked about the nudge earlier.

0:33:19.080 --> 0:33:21.680
<v Speaker 1>In two thousand and eight, another Nobel winning economist named

0:33:21.720 --> 0:33:26.360
<v Speaker 1>Richard thaller Co wrote a bestseller called Nudge Colon Improving

0:33:26.400 --> 0:33:29.360
<v Speaker 1>Decisions about health, wealth, and Happiness. And in that book

0:33:29.400 --> 0:33:34.400
<v Speaker 1>he talked about social priming experiences, benign paternalism, or that

0:33:34.520 --> 0:33:36.640
<v Speaker 1>nudge that you know you kind of mentioned earlier, towards

0:33:36.760 --> 0:33:40.200
<v Speaker 1>making a better decision. And then there's this other economists

0:33:40.240 --> 0:33:43.800
<v Speaker 1>name they're all economists, Daniel what's his name, Eirily?

0:33:44.320 --> 0:33:46.480
<v Speaker 2>I think so, yeah, And he.

0:33:46.360 --> 0:33:49.920
<v Speaker 1>Tested a lot of these supposed nudges. In one experiment,

0:33:50.000 --> 0:33:53.800
<v Speaker 1>he had kids students grade their own tests, but before

0:33:53.960 --> 0:33:57.600
<v Speaker 1>had half of them write out as many of the

0:33:57.600 --> 0:34:00.440
<v Speaker 1>Ten Commandments as they could remember. And what he found

0:34:00.560 --> 0:34:03.680
<v Speaker 1>was that those students were less likely to cheat on

0:34:03.760 --> 0:34:07.200
<v Speaker 1>their self graded testing because they had just been primed

0:34:07.600 --> 0:34:09.319
<v Speaker 1>to sort of think of like, hey, what's the right

0:34:09.360 --> 0:34:09.799
<v Speaker 1>thing to do?

0:34:10.520 --> 0:34:14.160
<v Speaker 2>Totally makes sense? Why even question it. He worked with

0:34:14.400 --> 0:34:18.840
<v Speaker 2>a car insurance company for another study. Car insurance companies

0:34:18.880 --> 0:34:21.680
<v Speaker 2>will sometimes have you say how many miles you've driven

0:34:21.800 --> 0:34:26.200
<v Speaker 2>in a year, and you can just lie and your

0:34:26.239 --> 0:34:28.560
<v Speaker 2>insurance rates will be affected on whether you lie or not.

0:34:28.840 --> 0:34:30.520
<v Speaker 2>So to find out if you could make people be

0:34:30.640 --> 0:34:35.560
<v Speaker 2>more honest about that, Erarily introduced an honesty pledge that

0:34:35.600 --> 0:34:38.520
<v Speaker 2>the person would sign at the top of their insurance

0:34:38.920 --> 0:34:42.839
<v Speaker 2>agreement or contract saying I won't fudge these numbers. And

0:34:42.960 --> 0:34:46.920
<v Speaker 2>those people fudge their numbers less than people who didn't

0:34:46.960 --> 0:34:50.640
<v Speaker 2>have that pledge to sign. So to prompt people to

0:34:50.719 --> 0:34:54.360
<v Speaker 2>be honest, whether it's the Ten Commandments or pledging honesty

0:34:54.480 --> 0:34:57.399
<v Speaker 2>or whatever, they're going to be more honest. And that's

0:34:57.400 --> 0:35:01.080
<v Speaker 2>a perfect example of the nudge economic that just swept

0:35:01.120 --> 0:35:04.200
<v Speaker 2>the world at the turn of the two thousands to

0:35:04.280 --> 0:35:05.360
<v Speaker 2>the twenty tens.

0:35:05.640 --> 0:35:08.120
<v Speaker 1>Yeah, I wonder if they asked any of the participants

0:35:08.120 --> 0:35:09.960
<v Speaker 1>coming in, are you.

0:35:09.960 --> 0:35:13.279
<v Speaker 2>Honest generally or not self report?

0:35:15.840 --> 0:35:17.920
<v Speaker 1>Maybe we should take a break here. Yeah, it's a

0:35:17.920 --> 0:35:19.640
<v Speaker 1>good time for a break, and we'll come back and

0:35:19.680 --> 0:35:22.239
<v Speaker 1>sort of talk about the big problem with all this,

0:35:22.440 --> 0:35:25.920
<v Speaker 1>which is, you know, scientifically speaking, the replication of these

0:35:25.920 --> 0:35:26.920
<v Speaker 1>studies right after this.

0:36:16.640 --> 0:36:19.680
<v Speaker 2>Okay, Chuck, So we've talked about this before. The replication

0:36:19.800 --> 0:36:24.880
<v Speaker 2>crisis in science. I think it's in the physical sciences.

0:36:24.920 --> 0:36:29.040
<v Speaker 2>It's all over where people have had these landmark papers,

0:36:29.080 --> 0:36:32.439
<v Speaker 2>groundbreaking papers that have changed the world, changed how people act,

0:36:32.840 --> 0:36:37.200
<v Speaker 2>changed where research dollars go. When somebody finally gets around

0:36:37.520 --> 0:36:40.520
<v Speaker 2>to trying to replicate that exact same experiment, they come

0:36:40.600 --> 0:36:44.080
<v Speaker 2>up with different results, often negative results. They can't replicate

0:36:44.120 --> 0:36:47.120
<v Speaker 2>the results that that study found. And like I said,

0:36:47.200 --> 0:36:50.600
<v Speaker 2>that's throughout science this is a big problem. But in

0:36:50.640 --> 0:36:56.440
<v Speaker 2>psychology and more specifically social psychology, the replication crisis is

0:36:56.680 --> 0:37:02.000
<v Speaker 2>shaking the foundations of the thee and a reason why.

0:37:02.200 --> 0:37:05.319
<v Speaker 2>Let's do a little thought experiment here. Imagine that you're

0:37:05.320 --> 0:37:09.920
<v Speaker 2>a social psychologist, researcher, Okay, you're at the university and

0:37:09.960 --> 0:37:12.960
<v Speaker 2>you've come up with an experiment that you believe the

0:37:13.080 --> 0:37:17.920
<v Speaker 2>results of which will be used a corporations, political campaigns

0:37:18.360 --> 0:37:22.200
<v Speaker 2>all over the place to persuade everyday people to change

0:37:22.239 --> 0:37:26.400
<v Speaker 2>their behavior which will shape the world for years to come.

0:37:27.239 --> 0:37:30.359
<v Speaker 2>But you don't really feel like leaving your office that day,

0:37:30.640 --> 0:37:32.920
<v Speaker 2>so you just bring in a bunch of students, maybe

0:37:32.960 --> 0:37:36.359
<v Speaker 2>fifteen of them, experiment on them, and then extrapolate those

0:37:36.400 --> 0:37:41.000
<v Speaker 2>findings to a human universality, and then it gets packaged

0:37:41.200 --> 0:37:45.280
<v Speaker 2>and exported to corporations and political campaigns. That, in a nutshell,

0:37:45.320 --> 0:37:46.440
<v Speaker 2>is social psychology.

0:37:46.760 --> 0:37:49.759
<v Speaker 1>Yeah, I mean, that's what happened. We have some specific

0:37:49.800 --> 0:37:53.960
<v Speaker 1>examples of like real mouthfeasance that happened in these studies.

0:37:54.600 --> 0:37:57.719
<v Speaker 1>In some cases even not just like oh, you know,

0:37:58.280 --> 0:38:00.879
<v Speaker 1>they didn't account for all the very like in some

0:38:00.920 --> 0:38:04.680
<v Speaker 1>cases they massage data. That Daniel Areley guy that we

0:38:04.680 --> 0:38:09.400
<v Speaker 1>were talking about, yeah, and his colleague Francesca Gino, they

0:38:09.400 --> 0:38:12.480
<v Speaker 1>were accused of massaging the data just to fit their hypothesis.

0:38:13.040 --> 0:38:16.320
<v Speaker 1>Turns out that car insurance company came back and said

0:38:16.880 --> 0:38:20.000
<v Speaker 1>that data doesn't even match what we sent you and

0:38:20.040 --> 0:38:24.000
<v Speaker 1>what you published in that honesty pledge situation. Yeah, there

0:38:24.040 --> 0:38:29.360
<v Speaker 1>was another guy, a Dutch guy named Diedrich Stoppel. He

0:38:29.520 --> 0:38:32.400
<v Speaker 1>was a big, sort of big name in this field.

0:38:33.120 --> 0:38:35.240
<v Speaker 1>He fabricated studies out of whole cloth.

0:38:36.120 --> 0:38:39.160
<v Speaker 2>Yeah, for sure. So it's bad for psychology, bad for

0:38:39.320 --> 0:38:43.400
<v Speaker 2>social psychology. But priming research, it was just this is

0:38:43.760 --> 0:38:46.279
<v Speaker 2>like it must have just felt like a bloodbath day

0:38:46.320 --> 0:38:49.160
<v Speaker 2>after day if you were in the field, just bad

0:38:49.239 --> 0:38:52.960
<v Speaker 2>news after bad news. It got so bad that ten

0:38:53.040 --> 0:38:56.160
<v Speaker 2>years after he wrote Thinking Fast and Slow, Daniel Kahneman

0:38:56.520 --> 0:38:59.160
<v Speaker 2>wrote an open letter but it was actually directed to

0:38:59.480 --> 0:39:03.719
<v Speaker 2>John Barr saying like something, this is really bad, that

0:39:05.320 --> 0:39:08.160
<v Speaker 2>priming research is the poster child for doubts about the

0:39:08.160 --> 0:39:11.719
<v Speaker 2>integrity of psychological research. And he warned of becoming train

0:39:11.800 --> 0:39:15.280
<v Speaker 2>wreck and was basically saying like, hey man, you guys,

0:39:15.320 --> 0:39:17.520
<v Speaker 2>I'm just a believer. I'm just a fan. You guys

0:39:17.560 --> 0:39:21.120
<v Speaker 2>screwed this up. You better fix it. And there's actually

0:39:21.160 --> 0:39:24.840
<v Speaker 2>I found a really great website called Replicable Replicability Index.

0:39:24.880 --> 0:39:29.560
<v Speaker 2>It's a blog by Ulric Shimack at the University of Toronto,

0:39:30.200 --> 0:39:33.960
<v Speaker 2>and they have a something called the Reconstruction of a

0:39:34.120 --> 0:39:37.040
<v Speaker 2>train Wreck where they go through and pick out like

0:39:37.280 --> 0:39:41.200
<v Speaker 2>how Kahman sold this to the public and misrepresented it

0:39:41.280 --> 0:39:44.959
<v Speaker 2>all sorts of different ways himself. So he's passed on RIP.

0:39:45.200 --> 0:39:47.319
<v Speaker 2>I don't like to speak ill of the dead. And

0:39:47.360 --> 0:39:50.520
<v Speaker 2>everything leading up to that, from what I understand, was

0:39:50.600 --> 0:39:54.000
<v Speaker 2>a great career, but he just hitched his wagonto the

0:39:54.040 --> 0:39:57.240
<v Speaker 2>wrong thing and then tried to distance himself from as

0:39:57.480 --> 0:39:58.520
<v Speaker 2>much as he could.

0:39:58.840 --> 0:40:01.560
<v Speaker 1>Yeah, and you know, the community that worked in that

0:40:01.600 --> 0:40:04.120
<v Speaker 1>field certainly woke up, and they weren't just like this

0:40:04.160 --> 0:40:05.560
<v Speaker 1>is no big deal. They were like, all right, this

0:40:05.600 --> 0:40:08.919
<v Speaker 1>is a real problem. So they tried have tried since

0:40:08.960 --> 0:40:10.440
<v Speaker 1>then to try and clean things up a bit and

0:40:10.480 --> 0:40:15.640
<v Speaker 1>address what they call qrps, or questionable research practices, of

0:40:15.680 --> 0:40:17.799
<v Speaker 1>which there are many. We're going to talk about some

0:40:17.840 --> 0:40:21.520
<v Speaker 1>of them right now, but one obviously you sort of

0:40:21.560 --> 0:40:24.160
<v Speaker 1>mentioned this was they're just really small studies. You can't

0:40:24.160 --> 0:40:27.480
<v Speaker 1>make these big, huge conclusions about human behavior when you

0:40:27.520 --> 0:40:31.040
<v Speaker 1>studied twelve, you know, college freshmen, you know, on a

0:40:31.080 --> 0:40:36.160
<v Speaker 1>Saturday morning. As part of the open science movement, and

0:40:36.200 --> 0:40:38.200
<v Speaker 1>this is pretty cool. I didn't know about this, but

0:40:38.400 --> 0:40:42.720
<v Speaker 1>researchers are now encouraged to register their studies ahead of time,

0:40:42.920 --> 0:40:46.600
<v Speaker 1>including what their hypothesis is before they collect the data,

0:40:47.440 --> 0:40:51.000
<v Speaker 1>and that'll keep them from what's called HARKing hypothesizing after

0:40:51.200 --> 0:40:54.000
<v Speaker 1>results are known. So basically like, hey, here's what I

0:40:54.040 --> 0:40:55.920
<v Speaker 1>think is going to happen. Now, let's do the study.

0:40:56.000 --> 0:40:59.600
<v Speaker 1>But it's officially registered, so I can't sort of pick

0:40:59.640 --> 0:41:01.520
<v Speaker 1>and choose what I what I look at.

0:41:02.080 --> 0:41:05.640
<v Speaker 2>Right, there's another big problem called pea hacking, which is

0:41:06.440 --> 0:41:10.319
<v Speaker 2>taking data and then making it work statistically so that

0:41:10.440 --> 0:41:15.440
<v Speaker 2>these random flukes suddenly became statistically significant. Yeah, that's a

0:41:15.440 --> 0:41:20.080
<v Speaker 2>big problem. And that I read that it's not so

0:41:20.239 --> 0:41:24.440
<v Speaker 2>much that researchers were sitting there purposely massaging their data

0:41:24.480 --> 0:41:27.080
<v Speaker 2>over and over and over again to tease out some

0:41:27.120 --> 0:41:30.319
<v Speaker 2>results that they could publish, but it was more like

0:41:30.320 --> 0:41:35.880
<v Speaker 2>they were just falling force flukes being more significant than

0:41:35.960 --> 0:41:38.520
<v Speaker 2>they were. That's what I read that that was really

0:41:38.520 --> 0:41:40.760
<v Speaker 2>the big problem. That it wasn't like an entire field

0:41:40.760 --> 0:41:41.600
<v Speaker 2>of bad actors.

0:41:41.680 --> 0:41:44.719
<v Speaker 1>Yeah, I mean I sort of get it in a way.

0:41:44.719 --> 0:41:48.040
<v Speaker 1>And we've talked about this in our Scientific Method show

0:41:48.080 --> 0:41:50.719
<v Speaker 1>and other episodes too, where you know, you put all

0:41:50.719 --> 0:41:52.480
<v Speaker 1>this time and you want to you want to you

0:41:52.520 --> 0:41:55.040
<v Speaker 1>want your thing to pan out that you think is true.

0:41:55.120 --> 0:41:58.520
<v Speaker 1>So I get the inclination, but you can't you can't

0:41:58.520 --> 0:42:00.640
<v Speaker 1>budge numbers, you can't look at stuff that just backs

0:42:00.719 --> 0:42:02.959
<v Speaker 1>up your conclusion. You can't throw stuff in the file

0:42:03.040 --> 0:42:05.600
<v Speaker 1>drawer that doesn't you got and this is one of

0:42:05.640 --> 0:42:07.320
<v Speaker 1>the things they talked about, the file drawer, like you

0:42:07.400 --> 0:42:11.319
<v Speaker 1>got to make all this stuff public. And part of

0:42:11.360 --> 0:42:13.200
<v Speaker 1>the problem is the media, because they want to write

0:42:13.200 --> 0:42:17.000
<v Speaker 1>about something splashy and super interesting, right, and so like

0:42:17.040 --> 0:42:18.799
<v Speaker 1>there's a lot of things that play here that go

0:42:18.840 --> 0:42:20.880
<v Speaker 1>into why somebody would do this beyond just being like,

0:42:20.960 --> 0:42:22.120
<v Speaker 1>you know, you're a bad person.

0:42:22.560 --> 0:42:25.560
<v Speaker 2>Yeah, and so there's something called publisher perish, like you

0:42:25.680 --> 0:42:28.560
<v Speaker 2>basically are advancing your careers if you get published in

0:42:28.600 --> 0:42:32.200
<v Speaker 2>an academic journal. The problem is academic journals they're like

0:42:32.239 --> 0:42:34.480
<v Speaker 2>the media. They wanted it to be splashing and sexy,

0:42:34.640 --> 0:42:37.759
<v Speaker 2>so they don't really publish negative results anyway. So even

0:42:37.800 --> 0:42:40.280
<v Speaker 2>if you wanted to, you'd have a hard time getting

0:42:40.280 --> 0:42:43.560
<v Speaker 2>it published in a legitimate journal these days. So that's

0:42:43.560 --> 0:42:47.000
<v Speaker 2>a big problem. Ultimately, Chuck the biggest problem, and this

0:42:47.080 --> 0:42:50.920
<v Speaker 2>is what really tripped up social psychology. It's the drum

0:42:50.960 --> 0:42:53.920
<v Speaker 2>that you've been beating this whole time. Humans are not

0:42:54.880 --> 0:42:58.759
<v Speaker 2>predictable computers who will respond in a predictable way if

0:42:58.760 --> 0:43:01.960
<v Speaker 2>you give them a specific stimulus. That's just not how

0:43:02.040 --> 0:43:02.879
<v Speaker 2>humans work now.

0:43:02.920 --> 0:43:06.160
<v Speaker 1>And even the same person will react on a different

0:43:06.200 --> 0:43:09.799
<v Speaker 1>day to the same exact experiment depending on the host

0:43:09.880 --> 0:43:10.480
<v Speaker 1>of factors.

0:43:11.040 --> 0:43:15.040
<v Speaker 2>Sure, so the same person will respond differently, you better

0:43:15.040 --> 0:43:18.480
<v Speaker 2>believe different people will respond differently to the same stimulus.

0:43:18.840 --> 0:43:22.040
<v Speaker 2>And then it also depends on who's presenting the stimulus.

0:43:22.760 --> 0:43:26.640
<v Speaker 2>Is it being presented by a grad student who's posing

0:43:26.680 --> 0:43:29.000
<v Speaker 2>as one of the participants, or is it like a

0:43:29.040 --> 0:43:33.360
<v Speaker 2>professor wearing a white lab coat for some reason. That's

0:43:33.480 --> 0:43:36.680
<v Speaker 2>definitely going to shape the information or the stimulus that's

0:43:36.719 --> 0:43:41.160
<v Speaker 2>being received. And when you put all this together, it's

0:43:41.520 --> 0:43:48.160
<v Speaker 2>essentially impossible to replicate a priming study, and if you

0:43:48.239 --> 0:43:51.640
<v Speaker 2>get the same results, that's essentially a statistical fluke from

0:43:51.640 --> 0:43:52.440
<v Speaker 2>what I understand.

0:43:53.040 --> 0:43:56.000
<v Speaker 1>Yeah, I mean, we've talked about the Stanford prison experiment

0:43:56.040 --> 0:43:59.200
<v Speaker 1>a few times, and looking back, like especially when you

0:43:59.239 --> 0:44:02.520
<v Speaker 1>see the movie I talk about who's presenting the experiment,

0:44:02.560 --> 0:44:05.839
<v Speaker 1>it's like those guards showed up. It's like, you, guys,

0:44:05.920 --> 0:44:08.720
<v Speaker 1>you look ridiculous. You know, you look like an eighteen

0:44:08.800 --> 0:44:11.560
<v Speaker 1>year old who painted on a mustache and put on

0:44:11.600 --> 0:44:14.239
<v Speaker 1>some you know, mirror aviator sunglasses trying to be a

0:44:14.239 --> 0:44:14.759
<v Speaker 1>prison guard.

0:44:15.000 --> 0:44:17.600
<v Speaker 2>Yeah, and developed a southern accent. That one always stuck

0:44:17.640 --> 0:44:18.040
<v Speaker 2>out to me.

0:44:18.239 --> 0:44:18.880
<v Speaker 1>Yeah, exactly.

0:44:19.480 --> 0:44:22.040
<v Speaker 2>So one reason why, I mean, when you're looking back,

0:44:22.280 --> 0:44:24.719
<v Speaker 2>so we should say that there are still people I

0:44:24.719 --> 0:44:27.680
<v Speaker 2>think I did say working in this field earnestly, but

0:44:27.719 --> 0:44:30.080
<v Speaker 2>they're essentially going through and picking out what could be

0:44:30.800 --> 0:44:31.799
<v Speaker 2>salvaged from it.

0:44:31.840 --> 0:44:32.040
<v Speaker 1>Yeah.

0:44:32.080 --> 0:44:35.640
<v Speaker 2>What they're finding is that priming does work, but it,

0:44:35.840 --> 0:44:38.240
<v Speaker 2>like we said, it's going to work differently for different people.

0:44:38.280 --> 0:44:42.239
<v Speaker 2>There's very few universalities, if any. But one thing that

0:44:42.280 --> 0:44:44.759
<v Speaker 2>they have figured out that is legit with social or

0:44:44.800 --> 0:44:48.440
<v Speaker 2>behavioral priming is that you can be primed most easily

0:44:48.480 --> 0:44:51.520
<v Speaker 2>and most reliably if it's pointing you in a direction

0:44:51.640 --> 0:44:54.279
<v Speaker 2>you already want to go. So let's say you want

0:44:54.280 --> 0:44:55.200
<v Speaker 2>to lose weight.

0:44:55.239 --> 0:44:55.880
<v Speaker 1>Uh huh.

0:44:55.920 --> 0:44:58.719
<v Speaker 2>If you're given a menu that has words like light

0:44:59.320 --> 0:45:02.000
<v Speaker 2>or diet on it or something like that, you're more

0:45:02.160 --> 0:45:05.920
<v Speaker 2>likely to choose those items than somebody who isn't interested

0:45:05.960 --> 0:45:10.520
<v Speaker 2>in dieting. Yeah, that's essentially what it got reduced back to,

0:45:10.640 --> 0:45:15.320
<v Speaker 2>which is just barely beyond cognitive priming. But it's legitimate,

0:45:15.320 --> 0:45:17.920
<v Speaker 2>and that's where they're starting out from. Again, that's the

0:45:17.960 --> 0:45:20.600
<v Speaker 2>current state of social priming. But just one more thing

0:45:20.640 --> 0:45:24.160
<v Speaker 2>I wanted to talk about, Chuck, is why everyone bought

0:45:24.200 --> 0:45:24.719
<v Speaker 2>into this?

0:45:26.280 --> 0:45:28.680
<v Speaker 1>Well, why do you think everyone bought into it?

0:45:28.880 --> 0:45:32.880
<v Speaker 2>I'll tell you why. Thank you for asking. Because it

0:45:32.920 --> 0:45:36.719
<v Speaker 2>reduces humans to an understandable, predictable state.

0:45:37.120 --> 0:45:39.640
<v Speaker 1>Yeah, which is very easy to market and sell to.

0:45:40.120 --> 0:45:43.719
<v Speaker 2>Yeah, and understand, not feel threatened by, but also to

0:45:43.800 --> 0:45:47.640
<v Speaker 2>feel superior to. I ran across one explanation called MPC

0:45:47.840 --> 0:45:51.800
<v Speaker 2>theory non player character theory, like referencing background characters and

0:45:51.920 --> 0:45:54.680
<v Speaker 2>video games. We don't think for themselves. They're just kind

0:45:54.680 --> 0:46:00.560
<v Speaker 2>of automated, and something like social priming unders scores that

0:46:00.640 --> 0:46:03.480
<v Speaker 2>idea that other people are like that. I'm not like that.

0:46:03.760 --> 0:46:06.479
<v Speaker 2>I can think for myself. Nobody's gonna doupe me into

0:46:06.480 --> 0:46:09.920
<v Speaker 2>eating a cheeseburger voting for them. Yeah, But other people

0:46:10.000 --> 0:46:14.000
<v Speaker 2>that happens too, And that's what priming research supported. That

0:46:14.200 --> 0:46:17.359
<v Speaker 2>other people are non player characters, which elevates your sense

0:46:17.400 --> 0:46:22.200
<v Speaker 2>of superiority and your sense of intelligence while also deflating

0:46:22.560 --> 0:46:24.719
<v Speaker 2>that of other people in your mind.

0:46:25.120 --> 0:46:27.480
<v Speaker 1>I have to say, though, we said the word cheeseburger

0:46:27.520 --> 0:46:29.719
<v Speaker 1>so many times I can't remember the last cheeseburger I had.

0:46:29.760 --> 0:46:30.400
<v Speaker 1>All I want right now?

0:46:30.440 --> 0:46:31.759
<v Speaker 2>It's a cheeseburger, is that right?

0:46:32.239 --> 0:46:33.200
<v Speaker 1>Yeah?

0:46:33.280 --> 0:46:35.239
<v Speaker 2>Okay, well we'll get you one. What kind do you want?

0:46:36.520 --> 0:46:40.200
<v Speaker 1>Well, you know, Dave said something about nasty McDonald's cheezburgers

0:46:40.200 --> 0:46:42.600
<v Speaker 1>and that I was like, what are you talking about?

0:46:42.680 --> 0:46:45.880
<v Speaker 2>Mc donalds. It's a classic, it's the best of the best.

0:46:46.360 --> 0:46:48.839
<v Speaker 1>Yeah. Well, you know, they may not like it. Maybe

0:46:48.840 --> 0:46:49.919
<v Speaker 1>he's a hearty's guy.

0:46:50.280 --> 0:46:52.560
<v Speaker 2>Maybe he's one of those guys who eats his cheeseburgers

0:46:52.560 --> 0:46:53.520
<v Speaker 2>on a briosh moon.

0:46:54.120 --> 0:46:57.800
<v Speaker 1>Oh an egg roll? Uh?

0:46:57.920 --> 0:46:58.680
<v Speaker 2>You got anything else?

0:46:58.960 --> 0:47:01.279
<v Speaker 1>I got nothing else. These are always fun. I like

0:47:01.320 --> 0:47:02.439
<v Speaker 1>these they are.

0:47:02.440 --> 0:47:05.319
<v Speaker 2>We don't very frequently tee off on something, but it

0:47:05.360 --> 0:47:07.400
<v Speaker 2>does feel good when we do once in a while.

0:47:09.239 --> 0:47:12.319
<v Speaker 2>Chuck just said yeah, and as everybody who's ever listened

0:47:12.360 --> 0:47:15.279
<v Speaker 2>to the podcast knows, he just unlocked listener mail.

0:47:18.600 --> 0:47:20.879
<v Speaker 1>Hey guys, to listen to your wonderful podcast about three

0:47:20.880 --> 0:47:22.359
<v Speaker 1>hours a day of my way to and from work.

0:47:22.360 --> 0:47:24.840
<v Speaker 1>I want to say thank you for all of that

0:47:24.880 --> 0:47:27.400
<v Speaker 1>over the years. I had a very funny incident the

0:47:27.480 --> 0:47:29.759
<v Speaker 1>other day listening to the Sea Monkeys episode. I was

0:47:29.800 --> 0:47:32.200
<v Speaker 1>coming home after a long day and that episode came on.

0:47:32.280 --> 0:47:35.520
<v Speaker 1>I was really tired, and when I originally fell asleep

0:47:35.920 --> 0:47:38.520
<v Speaker 1>against the window, I take it the person isn't driving.

0:47:40.480 --> 0:47:42.319
<v Speaker 1>When I originally fell asleep, I was listening to the

0:47:42.360 --> 0:47:44.439
<v Speaker 1>history of sea monkeys. To my surprise, though, I woke

0:47:44.520 --> 0:47:49.080
<v Speaker 1>up and heard White Supremacists and the KKK. I panic

0:47:49.160 --> 0:47:50.719
<v Speaker 1>and jumped out of my seat, thinking I had missed

0:47:50.719 --> 0:47:53.040
<v Speaker 1>my stop by a long shot and I had finished

0:47:53.040 --> 0:47:55.920
<v Speaker 1>an episode and started a completely different one. I was

0:47:55.960 --> 0:47:58.359
<v Speaker 1>not expecting the sea monkey episode to take that turn,

0:47:58.400 --> 0:48:00.520
<v Speaker 1>you guys. I was relieved to find out that not

0:48:00.600 --> 0:48:02.520
<v Speaker 1>much time had passed and I didn't miss my stop,

0:48:02.800 --> 0:48:04.680
<v Speaker 1>but also a little distressed to find out the dark

0:48:04.760 --> 0:48:08.120
<v Speaker 1>history of such an innocent children's produt. Yeah, I live

0:48:08.120 --> 0:48:10.600
<v Speaker 1>in Istanbul as a foreigner. In your podcast gives me

0:48:10.600 --> 0:48:12.879
<v Speaker 1>a little taste of home. It's comforting on those days

0:48:12.880 --> 0:48:15.200
<v Speaker 1>when I want to tune into two smart guys talking

0:48:15.239 --> 0:48:18.520
<v Speaker 1>about something interesting. Really appreciate you for all the work

0:48:18.560 --> 0:48:20.040
<v Speaker 1>you do and all the fun moments you've given me

0:48:20.040 --> 0:48:24.400
<v Speaker 1>on the bus. And that is from Katie Sesenler.

0:48:25.160 --> 0:48:28.480
<v Speaker 2>Katie knows how to speak our language, doesn't she Katie

0:48:28.520 --> 0:48:31.760
<v Speaker 2>really knows, she knows how to flatter. Thanks a lot, Katie,

0:48:31.880 --> 0:48:34.560
<v Speaker 2>have fun in Istanbul. That's very exciting and thrilling, and

0:48:34.600 --> 0:48:37.080
<v Speaker 2>I'm glad you did not miss your stop. If you

0:48:37.120 --> 0:48:39.040
<v Speaker 2>want to be like Katie and let us know where

0:48:39.080 --> 0:48:41.920
<v Speaker 2>you live and some funny story about stuff you Should Know,

0:48:42.200 --> 0:48:44.960
<v Speaker 2>we love that kind of thing. You can wrap it up,

0:48:45.160 --> 0:48:47.040
<v Speaker 2>spank it on the bottom, and send it off to

0:48:47.280 --> 0:48:53.160
<v Speaker 2>Stuff podcast at iHeartRadio dot com.

0:48:53.280 --> 0:48:56.160
<v Speaker 1>Stuff you Should Know is a production of iHeartRadio. For

0:48:56.239 --> 0:48:59.680
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