WEBVTT - Anchor in the Mind

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<v Speaker 1>Welcome to Stuff to Blow Your Mind from how stup

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<v Speaker 1>works dot com. Hey, welcome to Stuff to Blow your Mind.

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<v Speaker 1>My name is Robert Lamb and I'm Joe McCormick and Robert.

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<v Speaker 1>I've got a trivia question for you. All right, hittany,

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<v Speaker 1>this is for all of you out there listening as well.

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<v Speaker 1>When Marie Curie died, was she older or younger than

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<v Speaker 1>twenty seven years old? Think about your answer, older or

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<v Speaker 1>younger than seven? Okay, well, I have to say she

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<v Speaker 1>was definitely older. But I have to admit that I

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<v Speaker 1>read an excellent glow in the dark book about her

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<v Speaker 1>a few years back, titled Radioactive Marie and Pierre Curie,

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<v Speaker 1>A Tale of Love and Fallout, which, by the way,

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<v Speaker 1>heading into Valentine's Day, it's an excellent Valentine's Day book

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<v Speaker 1>to give somebody. Wait, hold on, so this is going

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<v Speaker 1>to be about them, but it's glow in the dark

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<v Speaker 1>signaling that the book is radio active and will poison

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<v Speaker 1>you and your fingers will fall off. And well, when

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<v Speaker 1>you put it like that, it doesn't sound very romantic,

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<v Speaker 1>but it's it's a it's a very romantic book. But

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<v Speaker 1>I know I know from having read that that she

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<v Speaker 1>she would live significantly longer than than her twenties. Well, okay,

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<v Speaker 1>so most people probably do know that. But here here's

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<v Speaker 1>another chance. Just guess what age she died. How old

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<v Speaker 1>was Marie Curry when she died? And just think about it.

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<v Speaker 1>This becomes a little harder for me because I have

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<v Speaker 1>I can clearly picture a photograph of her. I'm gonna say,

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<v Speaker 1>very close. Marie Cury died in nineteen thirty four at

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<v Speaker 1>the age of sixty six, So yeah, very close. Now

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<v Speaker 1>you listening at home, how close were you? Did you overshoot?

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<v Speaker 1>I assume not many people undershot the age. If you did,

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<v Speaker 1>that's okay, no shame in it. I tried this on

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<v Speaker 1>somebody yesterday and she guessed forty four. I did the

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<v Speaker 1>same thing. I said, older, younger than seven? What's the age?

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<v Speaker 1>And when when I told her the answer that it

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<v Speaker 1>was actually sixty six, the person I was talking to said, oh, well,

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<v Speaker 1>I've seen pictures of her that looked older than that,

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<v Speaker 1>but I guess I assumed it was from all the radiation. Okay,

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<v Speaker 1>I see where you're going with this. Though, the the

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<v Speaker 1>question you asked by putting twenty seven in there, you're

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<v Speaker 1>you're you're sort of lowering their expectations. It could be, Yeah,

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<v Speaker 1>maybe something's going on there. I've got another one for you.

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<v Speaker 1>When Sean Connery took a role in the film Highlander

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<v Speaker 1>to the Quickening one of his finest choices, Yes, the

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<v Speaker 1>planet's eist. When he took that role, what was his

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<v Speaker 1>salary for the role? Was it more or less than

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<v Speaker 1>thirty one million dollars? Okay, this one's tough for me

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<v Speaker 1>because I love movie trivia, but I'm not very good

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<v Speaker 1>with the economic movie trivia, so I don't even have

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<v Speaker 1>a very good starting point. It seems to me, though,

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<v Speaker 1>that sounds like an awful lot of money. Um, especially

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<v Speaker 1>for Highlander two. Yeah, Like that's that's some that's some

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<v Speaker 1>big Uh. That's that's some Tom Cruise money right there,

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<v Speaker 1>I would guess. So you're saying lower maybe, But then

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<v Speaker 1>this was you have to put yourself in a pre

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<v Speaker 1>Highland or two era, So Highlander two can't imagine it,

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<v Speaker 1>unable to process, cannot compute. It's It's true. I don't

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<v Speaker 1>think I watched Highlander. I got excited to watch Highlander

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<v Speaker 1>one after I saw trailers for Highlander two. I believe

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<v Speaker 1>that's how that went down. But yeah, not not knowing

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<v Speaker 1>what we know now about the the the public reception,

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<v Speaker 1>uh to to Highlander two, one could easily say, yeah

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<v Speaker 1>it was everyone was just totally optimistic. It was a

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<v Speaker 1>follow up to Highlander, which was arguably, you know, one

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<v Speaker 1>of the greatest films of its generation. Okay, so guess

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<v Speaker 1>taking out what was his actual salary? All right, you're

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<v Speaker 1>asking about thirty five one I'm going to have that

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<v Speaker 1>and say fifteen million? Is that a lot for Sean Connery? Oh?

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<v Speaker 1>Your way over the mark. Now, I do have to

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<v Speaker 1>admit that my answer comes from a sketchy looking website,

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<v Speaker 1>which is the only place I could find an answer

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<v Speaker 1>called like the movie time. So maybe this is wrong,

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<v Speaker 1>but the answer I could find said he was paid

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<v Speaker 1>three point five million. Okay, well, yeah I was way

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<v Speaker 1>over the line. Then yeah, but worth every penny really

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<v Speaker 1>and then some exactly right. But notice how far off

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<v Speaker 1>the mark you were given those starting questions. I asked,

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<v Speaker 1>was she older, younger than twenty seven? Or was it

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<v Speaker 1>more or less than thirty one million? And I wonder

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<v Speaker 1>to what extent those questions changed the kind of answer

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<v Speaker 1>you gave to your ultimate guests on her age at

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<v Speaker 1>death or on the movie salary? What would you have

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<v Speaker 1>said if you hadn't received those questions to start with? Well,

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<v Speaker 1>in the case of the Highlander question, I was just

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<v Speaker 1>kind of trying to reverse engineer and answer. I think

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<v Speaker 1>I would have I still would have missed the mark,

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<v Speaker 1>but I think I would have probably said something like

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<v Speaker 1>five or six million, a lot closer, A lot closer,

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<v Speaker 1>certainly less of an exaggeration, but the but but but

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<v Speaker 1>you were pretty much on the money on Murray Curry, right,

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<v Speaker 1>So yeah, but but that was an area where I

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<v Speaker 1>I have read about her and I think I did

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<v Speaker 1>a podcast that talked about her a while back, so

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<v Speaker 1>I had some sort of I had some level of

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<v Speaker 1>expert information there, but I had nothing really to go

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<v Speaker 1>on for the Highland or two one. Okay. So this

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<v Speaker 1>effect that we've just been demonstrating is what we're going

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<v Speaker 1>to be talking about today. And this is a psychological effect.

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<v Speaker 1>It's been written about a lot in the field of

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<v Speaker 1>behavioral economics, but it's fundamentally a psychological phenomenon known as

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<v Speaker 1>the anchoring bias, and I would argue it's one of

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<v Speaker 1>the most powerful, most well known, and most easily exploited

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<v Speaker 1>vulnerabilities in our minds, and for that reason, I think

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<v Speaker 1>it's something that really everybody should know about, because it's

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<v Speaker 1>something that people will constantly be using to try to

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<v Speaker 1>get the per hand on you for the rest of

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<v Speaker 1>your life. Indeed, this is definitely a topic that will

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<v Speaker 1>change the way you think about everything from salary negotiations

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<v Speaker 1>to just haggling at the market totally. Yeah. Uh, and

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<v Speaker 1>not just economic matters too, I want to uh, though

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<v Speaker 1>it's mostly been tested in terms of estimating numbers, and

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<v Speaker 1>especially economic type numbers, prices, things where you're trying to

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<v Speaker 1>determine a reasonable figure for something. I would posit that

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<v Speaker 1>I think it's very likely this type of thinking also

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<v Speaker 1>biases all kinds of judgments we make, such as judgments

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<v Speaker 1>of people's reputations, judgments of the confidence we place in

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<v Speaker 1>the outcomes of events, all of which is going to

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<v Speaker 1>be enormously important for the rest of your life in

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<v Speaker 1>myriad ways. Yeah. Though certainly a lot of the more

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<v Speaker 1>like readily available examples are gonna involve economics. They're gonna

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<v Speaker 1>involve things like massive discounts. How can you do you

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<v Speaker 1>remember deep discount vds? Deep discount DVDs or I guess

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<v Speaker 1>it was deep discount DVD. I think it was a

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<v Speaker 1>website that had it's time in the sun there with

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<v Speaker 1>with deeply discounted DVDs. And it seems like everybody I

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<v Speaker 1>knew we were just like, oh my goodness, these deals

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<v Speaker 1>are too good. You're practically you're losing money if you

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<v Speaker 1>don't order these movies. Right. The more you buy, the

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<v Speaker 1>more you save. And it's easy to fall into that mentality.

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<v Speaker 1>It's like I didn't really want to pick up this

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<v Speaker 1>video game or this movie or this book, but when

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<v Speaker 1>you slice the price that much, I guess I'll bite. Yeah, man,

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<v Speaker 1>seems irrational, right. But back to the questions I asked earlier,

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<v Speaker 1>what what age did Marie Curry die? How much was

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<v Speaker 1>Sean Connery paid for Highlander two? I actually did a brief,

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<v Speaker 1>non scientific email survey. I say non scientific because these

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<v Speaker 1>were very small samples, not truly random. I just basically

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<v Speaker 1>randomly emailed coworkers UH in two different groups and asked

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<v Speaker 1>them to estimate answers to those questions. Now, I had

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<v Speaker 1>Group A where I just asked them how old did

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<v Speaker 1>you think Marie Curry was when she died? And how

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<v Speaker 1>much do you think Sean Connery got paid for highland

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<v Speaker 1>Er two? No anchors, right, no starting numbers higher or

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<v Speaker 1>lower than And in that group, the average answer that

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<v Speaker 1>people gave was that they thought that Marie Cury died

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<v Speaker 1>at fifty three, and they thought that Sean Connery got

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<v Speaker 1>paid three point two million. Three point that was there.

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<v Speaker 1>That was their answer, without any anchoring, right, without any anchoring.

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<v Speaker 1>So that's very close, very close to the three point

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<v Speaker 1>five if that website is correct. Who knows? Then Group B,

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<v Speaker 1>I did the same anchors I just gave you. So

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<v Speaker 1>I asked them, did she die older? Younger than twenty seven?

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<v Speaker 1>What age did she die? The average answer for that

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<v Speaker 1>group was forty eight point three good bit lower than yeah.

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<v Speaker 1>And then also I did the same thing, I said, uh,

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<v Speaker 1>higher or lower than thirty one million for Sean Connery.

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<v Speaker 1>Average guests in Group B was that Sean Connery got

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<v Speaker 1>paid nineteen point three million dollars uncle that I wasn't

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<v Speaker 1>alone to be for Islander to nineteen point three million.

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<v Speaker 1>And these are these are co workers, These are smart people,

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<v Speaker 1>you know, they should be good at making estimates of

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<v Speaker 1>these kind of things off the top of their head.

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<v Speaker 1>But in this non scientific way, I feel like we've

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<v Speaker 1>just demonstrated that just putting a number out there, even

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<v Speaker 1>if the number is totally unreasonable, and Mary cuy didn't

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<v Speaker 1>die at twenty seven, what Sean Connery did not get

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<v Speaker 1>thirty one million for this movie in that doesn't make

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<v Speaker 1>any sense. But even if you put these unreasonable numbers

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<v Speaker 1>out there, they seem to bias people's answers toward the

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<v Speaker 1>numbers you've thrown out. Well, it really takes me back

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<v Speaker 1>to like pop quizzes in grade school tests, right, and

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<v Speaker 1>the saying the famous adage the answer is in the question,

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<v Speaker 1>Because what do you do if you don't really know

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<v Speaker 1>the answer? Will you have? It's multiple choice? You look

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<v Speaker 1>at the available answers and answers and see which one

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<v Speaker 1>each is out to you the most, which one feels

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<v Speaker 1>true or stirs your memory? And then failing that, you

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<v Speaker 1>look to the question itself. Is there some sort of

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<v Speaker 1>information in the question? Uh? Essentially you're looking for like

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<v Speaker 1>a leak in the question. You're looking for a flaw

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<v Speaker 1>in the in the Riddler's strategy. Yeah, there's test taking skills,

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<v Speaker 1>which are essentially meta test taking skills. They are skills

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<v Speaker 1>that are not really about the subject of the test,

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<v Speaker 1>but skills at determining how to interrogate the style and

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<v Speaker 1>format of a test to exploit it for better scores

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<v Speaker 1>in the end. Right. But then I also think there's

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<v Speaker 1>there's also kind of a social connotation to this as well.

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<v Speaker 1>Like an example would be, you have a friend who

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<v Speaker 1>comes up and says, hey, man, have you heard this

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<v Speaker 1>latest album by I don't know name an active band

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<v Speaker 1>Kansas Kansas. Have you heard this new album by Kansas?

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<v Speaker 1>How awesome is that album? Man? So now I have

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<v Speaker 1>to I have to frame my answer around awesome? Is

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<v Speaker 1>it pretty awesome? Super awesome? It was okay, reasonably awesome.

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<v Speaker 1>When you say it was okay, what that means is

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<v Speaker 1>you hated it, But you have to adjust up to

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<v Speaker 1>the fact that they started with how awesome is it? Right?

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<v Speaker 1>And this is a case though, where it's it's not

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<v Speaker 1>a situation where you're gonna appear stupid or or uninformed

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<v Speaker 1>on a topic unless you know, except on the topic

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<v Speaker 1>of Kansas. Maybe it's not a situation where you have

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<v Speaker 1>any monetary steaks, but there is kind of like a

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<v Speaker 1>social steak employ there. If your friend is a huge

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<v Speaker 1>Kansas fan. You don't want to say, oh, I think

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<v Speaker 1>Kansas is awful. You want to adjust your answer so

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<v Speaker 1>that it's the appropriate balance of truth and uh in politeness. Yeah, So,

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<v Speaker 1>in the same way that my email survey was not

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<v Speaker 1>really scientific, what we're talking about. These examples are not

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<v Speaker 1>really scientific either. They're just anecdotes, and they've got all

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<v Speaker 1>these contaminating factors like you're saying Kansas, well, like social

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<v Speaker 1>social dynamics, like you were just explaining, so you respond,

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<v Speaker 1>it might not be truly influenced by just the presence

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<v Speaker 1>of the word awesome as much as it is by

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<v Speaker 1>the fact that you're trying to maintain a relationship with

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<v Speaker 1>the person who said this, you know what I mean.

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<v Speaker 1>So it's not divorced of this contaminating context. Now, the

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<v Speaker 1>anchoring effect that we're going to be talking about today

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<v Speaker 1>has been thoroughly demonstrated in fully scientific context, So it's

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<v Speaker 1>not always just this social kind of stuff going on. Uh.

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<v Speaker 1>You can test it ten ways to Sunday, and it

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<v Speaker 1>has been tested not just ten a million ways to Sunday,

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<v Speaker 1>and this thing works. This anchoring effect is a known

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<v Speaker 1>robust exploit of the human mind that works almost all

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<v Speaker 1>the time it is. It is scary how often it works. Yeah,

0:12:46.280 --> 0:12:49.200
<v Speaker 1>there are no shortage of papers about this. Uh, that's

0:12:49.200 --> 0:12:51.280
<v Speaker 1>for sure. Now, I guess we should try to define

0:12:51.280 --> 0:12:53.960
<v Speaker 1>it just a little bit more so to define the

0:12:54.000 --> 0:12:56.760
<v Speaker 1>anchoring effect. It is an example of what's known as

0:12:56.800 --> 0:12:59.960
<v Speaker 1>a cognitive heuristic. And if you're like me, I can remember.

0:13:00.280 --> 0:13:02.040
<v Speaker 1>I think back when I was in college, I went

0:13:02.080 --> 0:13:04.760
<v Speaker 1>a long time hearing the word heuristic and just sort

0:13:04.800 --> 0:13:07.720
<v Speaker 1>of nodding without really knowing what it meant. Anytime you

0:13:07.760 --> 0:13:10.280
<v Speaker 1>hear the word heuristic, you can just substitute the phrase

0:13:10.720 --> 0:13:14.640
<v Speaker 1>rule of thumb or mental shortcut. I still picture a

0:13:14.640 --> 0:13:18.880
<v Speaker 1>hair shirt, no matter what I mean. Cans like that

0:13:19.120 --> 0:13:20.880
<v Speaker 1>because you just kind of you ever have words like

0:13:20.920 --> 0:13:24.040
<v Speaker 1>that where it's completely illogical, but you can't help but

0:13:24.280 --> 0:13:26.680
<v Speaker 1>picture this thing in your head. I have no idea why,

0:13:26.920 --> 0:13:29.840
<v Speaker 1>like I tend to imagine a philosopher in a hair shirt.

0:13:30.120 --> 0:13:34.480
<v Speaker 1>Melissandra put on her rough spun heuristic pretty much. But

0:13:34.600 --> 0:13:37.240
<v Speaker 1>in reality, a heuristic is a rule of thumb or

0:13:37.280 --> 0:13:41.440
<v Speaker 1>a mental shortcut. It's essentially a fast and easy process

0:13:41.559 --> 0:13:44.000
<v Speaker 1>that your brain uses to come up with some kind

0:13:44.000 --> 0:13:48.040
<v Speaker 1>of output. You need a piece of information or a

0:13:48.160 --> 0:13:51.560
<v Speaker 1>judgment about something, and you don't really have time to

0:13:51.640 --> 0:13:54.920
<v Speaker 1>sit down and work out all the details, so instead

0:13:54.960 --> 0:13:58.280
<v Speaker 1>you use a heuristic. And heuristics can lead to relatively

0:13:58.360 --> 0:14:01.480
<v Speaker 1>good output. Sometimes you're good it at a fast and

0:14:01.559 --> 0:14:03.920
<v Speaker 1>loose judgment on the fly, or they can lead to

0:14:03.960 --> 0:14:07.400
<v Speaker 1>relatively bad output. And there are all kinds of heuristics

0:14:07.400 --> 0:14:10.839
<v Speaker 1>we use. One example of an extremely common and extremely

0:14:10.920 --> 0:14:14.960
<v Speaker 1>bad heuristic is judging some what you think of somebody

0:14:15.000 --> 0:14:18.840
<v Speaker 1>by how they look. Extremely common heuristic. It's a shortcut.

0:14:19.080 --> 0:14:21.040
<v Speaker 1>You don't want to do the work of like talking

0:14:21.080 --> 0:14:23.920
<v Speaker 1>to them for hours and figuring out, you know, what

0:14:23.960 --> 0:14:26.640
<v Speaker 1>you really think about them and their reliability as a

0:14:26.680 --> 0:14:29.520
<v Speaker 1>person and their values and all that. So instead you

0:14:29.520 --> 0:14:32.280
<v Speaker 1>can just look at them and make a crude judgment.

0:14:32.600 --> 0:14:35.200
<v Speaker 1>This is a great example because it's also a process

0:14:35.240 --> 0:14:39.000
<v Speaker 1>that is not necessarily taking place at the surface level

0:14:39.040 --> 0:14:42.520
<v Speaker 1>of of cognition. It's implicit as opposed to explicit. Yeah,

0:14:42.520 --> 0:14:44.560
<v Speaker 1>it very often is. And so this is like one

0:14:44.600 --> 0:14:48.680
<v Speaker 1>of these really bad heuristics that we're just plagued by. Uh,

0:14:48.720 --> 0:14:52.120
<v Speaker 1>you know, it's everybody should recognize it's a destructive way

0:14:52.120 --> 0:14:54.760
<v Speaker 1>of thinking that it's not really good for society. That

0:14:54.800 --> 0:14:57.160
<v Speaker 1>people do it, but people just keep doing it because

0:14:57.360 --> 0:15:00.000
<v Speaker 1>they're naturally vulnerable to it. It's like taking a short

0:15:00.040 --> 0:15:02.720
<v Speaker 1>cut through the woods. It makes sense unless there's a

0:15:02.760 --> 0:15:06.200
<v Speaker 1>monster there, or it's rain or you get lost. Um.

0:15:06.240 --> 0:15:07.560
<v Speaker 1>I mean really, that can be said about a lot

0:15:07.560 --> 0:15:09.760
<v Speaker 1>of shortcuts. So when we call them shortcuts, they can

0:15:09.800 --> 0:15:11.480
<v Speaker 1>help you help you out in the short term. But

0:15:11.560 --> 0:15:14.240
<v Speaker 1>if everybody does it, it breaks the system, or if

0:15:14.280 --> 0:15:16.160
<v Speaker 1>you do it too often, you're more likely to run

0:15:16.240 --> 0:15:20.560
<v Speaker 1>up against the pitfalls of taking that shortcut. Another bad heuristic,

0:15:20.600 --> 0:15:23.640
<v Speaker 1>of course, is the anchoring heuristic, the one we're talking

0:15:23.680 --> 0:15:26.720
<v Speaker 1>about today. Uh. It might not be bad in every

0:15:26.720 --> 0:15:29.880
<v Speaker 1>single case, because maybe in some off chance it will

0:15:29.960 --> 0:15:33.120
<v Speaker 1>bias you toward a correct answer. But most of the time,

0:15:33.680 --> 0:15:37.120
<v Speaker 1>the way the anchoring heuristic is going to be deployed

0:15:37.160 --> 0:15:39.360
<v Speaker 1>in your life is by people who are trying to

0:15:39.400 --> 0:15:44.680
<v Speaker 1>get you negotiated toward their position on something, and they

0:15:44.680 --> 0:15:47.680
<v Speaker 1>will use the anchoring bias in order to exploit your

0:15:47.720 --> 0:15:51.480
<v Speaker 1>mind and make you come closer to a position that

0:15:51.520 --> 0:15:54.720
<v Speaker 1>benefits them. Right. So again, this is haggling for something

0:15:54.720 --> 0:16:00.160
<v Speaker 1>at a marketplace. This is negotiations over a contract. After

0:16:00.280 --> 0:16:02.480
<v Speaker 1>what have you exactly right, So I think we should

0:16:02.480 --> 0:16:04.080
<v Speaker 1>take a quick break, and then when we come back

0:16:04.120 --> 0:16:07.000
<v Speaker 1>we will discuss the origins of the idea of anchoring

0:16:07.440 --> 0:16:11.640
<v Speaker 1>and some research in psychology and behavioral economics on how

0:16:11.680 --> 0:16:17.080
<v Speaker 1>it applies. Thank alright, we're back. I should mention that

0:16:17.120 --> 0:16:20.040
<v Speaker 1>one of our main resources in discussing the anchoring effect

0:16:20.080 --> 0:16:23.080
<v Speaker 1>is a two thousand eleven literature review from the Journal

0:16:23.120 --> 0:16:28.440
<v Speaker 1>of Socioeconomics by Adrian Fernham and Hua Cheu Boo, which

0:16:28.480 --> 0:16:31.160
<v Speaker 1>collects and synthesizes all of the major research on the

0:16:31.160 --> 0:16:34.560
<v Speaker 1>subject over the past forty years or so up until

0:16:34.560 --> 0:16:37.040
<v Speaker 1>about two thousand eleven. This paper is a great resource.

0:16:37.080 --> 0:16:39.040
<v Speaker 1>It puts it all in one place, and so that's

0:16:39.040 --> 0:16:41.200
<v Speaker 1>going to be sort of our guide for discussing it

0:16:41.240 --> 0:16:44.200
<v Speaker 1>as we go. One question is where does the idea

0:16:44.240 --> 0:16:46.960
<v Speaker 1>of anchoring come from. Obviously people have been using it

0:16:47.000 --> 0:16:50.440
<v Speaker 1>before it was understood and codified as a principle in

0:16:50.520 --> 0:16:55.760
<v Speaker 1>behavioral economics, right, But the anchoring and adjustment effect was

0:16:55.880 --> 0:17:01.200
<v Speaker 1>most influentially described and articulated by Tversky and Conomon in

0:17:01.400 --> 0:17:04.959
<v Speaker 1>nineteen seventy four, and according to them, it is quote

0:17:05.119 --> 0:17:10.040
<v Speaker 1>the disproportionate influence on decision makers to make judgments that

0:17:10.119 --> 0:17:15.840
<v Speaker 1>are biased toward and initially presented value. So what that means,

0:17:15.880 --> 0:17:18.359
<v Speaker 1>in effect, is that when we're trying to make a

0:17:18.400 --> 0:17:22.399
<v Speaker 1>reasonable guess or a judgment about something, any piece of

0:17:22.480 --> 0:17:26.879
<v Speaker 1>information you get before you make the judgment is likely

0:17:26.920 --> 0:17:30.359
<v Speaker 1>to bias your thinking in the direction of that piece

0:17:30.359 --> 0:17:33.560
<v Speaker 1>of information. So, if you're shown a car and asked

0:17:33.560 --> 0:17:36.160
<v Speaker 1>how much you would pay for it, you you might say, what,

0:17:36.520 --> 0:17:38.920
<v Speaker 1>I don't know, ten thousand dollars. That seems about right.

0:17:39.560 --> 0:17:42.240
<v Speaker 1>But let's say instead you are shown the same car

0:17:42.440 --> 0:17:46.040
<v Speaker 1>with the price sticker on it that says sixteen thousand dollars.

0:17:46.440 --> 0:17:49.760
<v Speaker 1>According to the anchoring and adjustment hypothesis here, you would

0:17:49.800 --> 0:17:52.560
<v Speaker 1>be more likely in this scenario to offer more for

0:17:52.640 --> 0:17:55.120
<v Speaker 1>the car, more than you would have if you just

0:17:55.280 --> 0:17:57.560
<v Speaker 1>saw the car and tried to think, how much would

0:17:57.600 --> 0:18:00.480
<v Speaker 1>that be worth to me? Because now, oh, now that

0:18:00.520 --> 0:18:02.720
<v Speaker 1>it has a sixteen thousand dollar price tag, I think

0:18:02.720 --> 0:18:06.200
<v Speaker 1>maybe it looks worth about twelve thousand. You're still coming

0:18:06.240 --> 0:18:09.359
<v Speaker 1>down from the offer, but the offer has biased up

0:18:09.480 --> 0:18:13.399
<v Speaker 1>your initial judgment of how much it's worth, or, in

0:18:13.440 --> 0:18:16.720
<v Speaker 1>other words, the anchor of the initial price has adjusted

0:18:16.800 --> 0:18:19.639
<v Speaker 1>your offer higher than you naturally be willing to pay

0:18:19.680 --> 0:18:22.639
<v Speaker 1>if that price hadn't been presented to you. It's kind

0:18:22.680 --> 0:18:25.400
<v Speaker 1>of like if you have a ticket for a concert

0:18:25.480 --> 0:18:27.280
<v Speaker 1>and then you realize you can't go, and so you

0:18:27.320 --> 0:18:29.920
<v Speaker 1>try to sell that ticket, just you know, online to

0:18:30.000 --> 0:18:33.920
<v Speaker 1>some friends. Maybe you'll often include how much you paid

0:18:33.960 --> 0:18:36.800
<v Speaker 1>for it and and what you're really saying there is

0:18:37.359 --> 0:18:40.000
<v Speaker 1>I paid thirty bucks for this ticket, so I'll take

0:18:40.040 --> 0:18:42.240
<v Speaker 1>whatever I can get. But either closer you get to

0:18:42.320 --> 0:18:45.720
<v Speaker 1>thirty the better. You're not a Yeah, you're not asking

0:18:45.840 --> 0:18:48.400
<v Speaker 1>how much is it worth for you to see Kansas.

0:18:48.920 --> 0:18:51.840
<v Speaker 1>You're saying, given that I paid five hundred dollars for

0:18:52.040 --> 0:18:55.119
<v Speaker 1>front row seats to Kansas, how close can you get

0:18:55.160 --> 0:18:58.159
<v Speaker 1>to that that number. I have no idea how much

0:18:58.240 --> 0:19:01.560
<v Speaker 1>Kansas tickets actually cost. I assume their mega and demand.

0:19:01.640 --> 0:19:04.840
<v Speaker 1>But by simply mentioning five hundred dollars, you made me

0:19:04.880 --> 0:19:07.639
<v Speaker 1>think about anything. Well, you know they're Kansas. I I

0:19:07.680 --> 0:19:11.120
<v Speaker 1>know of Kansas, so they're a big enough name. Uh,

0:19:11.119 --> 0:19:12.960
<v Speaker 1>it makes sense that someone would pay a lot of

0:19:13.000 --> 0:19:16.080
<v Speaker 1>money for a first row experience. You know, we're dust

0:19:16.119 --> 0:19:18.280
<v Speaker 1>in the wind, we only live once. You might as

0:19:18.320 --> 0:19:21.080
<v Speaker 1>well go see Kansas, even if it costs a pretty penny. Yeah,

0:19:21.160 --> 0:19:24.120
<v Speaker 1>it's crazy, Like you said, just how just through observation

0:19:24.200 --> 0:19:27.800
<v Speaker 1>you can tell how powerful this this, the anchoring phenomenon.

0:19:27.840 --> 0:19:29.840
<v Speaker 1>It actually is right, But we don't have to go

0:19:29.880 --> 0:19:33.280
<v Speaker 1>anecdotal because this has been proved up down, left, right,

0:19:33.359 --> 0:19:39.000
<v Speaker 1>sideways to Wichita and back. Uh. It is a thoroughly,

0:19:39.119 --> 0:19:43.159
<v Speaker 1>thoroughly demonstrated principle. Our minds just work this way, and

0:19:43.200 --> 0:19:47.119
<v Speaker 1>so there are some qualifications. The anchoring bias can be

0:19:47.359 --> 0:19:50.720
<v Speaker 1>affected by some variables, we think, and there is actually

0:19:50.800 --> 0:19:55.159
<v Speaker 1>debate over what explains the reason behind it, why it

0:19:55.280 --> 0:19:58.720
<v Speaker 1>happens in different scenarios. But what there's really no debating

0:19:58.840 --> 0:20:01.320
<v Speaker 1>is that it happens. This is This has proven a

0:20:01.359 --> 0:20:05.440
<v Speaker 1>million ways, and it is. It is considered a thoroughly

0:20:05.640 --> 0:20:08.560
<v Speaker 1>robust bias and a fundamental part of how the human

0:20:08.600 --> 0:20:10.920
<v Speaker 1>brain works. Yes, as you said, it said there are

0:20:10.920 --> 0:20:13.080
<v Speaker 1>no shortage of papers to back this up. I would

0:20:13.080 --> 0:20:15.600
<v Speaker 1>say that one of the problems is that these are

0:20:15.600 --> 0:20:19.000
<v Speaker 1>some of the stuffiest academic papers you could hope to read.

0:20:19.640 --> 0:20:24.080
<v Speaker 1>I mean, they're they're breaking apart a phenomenous best studied

0:20:24.240 --> 0:20:29.000
<v Speaker 1>through numbers and figures and estimates on value. So it's

0:20:29.040 --> 0:20:32.000
<v Speaker 1>not as sexy as you have somebody in a room

0:20:32.040 --> 0:20:34.520
<v Speaker 1>pulling a lever to shock somebody in the next room.

0:20:34.560 --> 0:20:37.920
<v Speaker 1>You know. I feel like maybe maybe what anchoring needs

0:20:38.440 --> 0:20:42.200
<v Speaker 1>is like one really good but kind of superficial study

0:20:42.320 --> 0:20:44.240
<v Speaker 1>that's just based on saying, how much do you think

0:20:44.280 --> 0:20:47.000
<v Speaker 1>Tom Cruise was paid for this film? Something that will

0:20:47.040 --> 0:20:51.520
<v Speaker 1>get that will generate headlines that will be uh relatable

0:20:51.520 --> 0:20:54.520
<v Speaker 1>in a slightly different way, and that could help explain

0:20:54.600 --> 0:20:57.959
<v Speaker 1>anchoring more to the general public. Yeah, it's like a

0:20:58.000 --> 0:21:02.080
<v Speaker 1>popular sensational demons stration, but it's been demonsted. I mean,

0:21:02.119 --> 0:21:03.960
<v Speaker 1>part of the problem is you don't need to demonstrate

0:21:03.960 --> 0:21:08.040
<v Speaker 1>it anymore. It's been demonstrated with these like hundreds of questions.

0:21:08.040 --> 0:21:13.680
<v Speaker 1>It's been demonstrated on right, what is the freezing point

0:21:13.720 --> 0:21:17.040
<v Speaker 1>of vodka? That's one that they ask people. Uh makes

0:21:17.040 --> 0:21:21.000
<v Speaker 1>a difference there. What is the height of Mount Everest? Uh?

0:21:21.040 --> 0:21:25.080
<v Speaker 1>What age was Amelia Earhart when she disappeared attempting to

0:21:25.119 --> 0:21:27.600
<v Speaker 1>pilot a plane around the world. So they're just all

0:21:27.640 --> 0:21:31.040
<v Speaker 1>these studies that ask questions like this and use anchoring

0:21:31.400 --> 0:21:35.040
<v Speaker 1>to bias the answers of participants. But it also works

0:21:35.040 --> 0:21:38.760
<v Speaker 1>in things other than just like giving a basic informational

0:21:38.880 --> 0:21:41.120
<v Speaker 1>guess about something. That's what we've been doing so far,

0:21:41.240 --> 0:21:44.040
<v Speaker 1>Like you know, can you guess a fact about history?

0:21:44.480 --> 0:21:50.000
<v Speaker 1>It also works in contexts like what percent chance would

0:21:50.040 --> 0:21:53.800
<v Speaker 1>you give of a thing happening? What's the percent chance

0:21:53.800 --> 0:21:56.040
<v Speaker 1>you would give of a certain athlete scoring a certain

0:21:56.119 --> 0:21:59.200
<v Speaker 1>number of points in an upcoming game. So it influences

0:21:59.600 --> 0:22:03.080
<v Speaker 1>our judgments of probabilities. Yes, we certainly see this in

0:22:03.200 --> 0:22:07.479
<v Speaker 1>political elections, for instance, Absolutely numbers thrown out what are

0:22:07.480 --> 0:22:10.520
<v Speaker 1>the chances of this particular candidate winning, and then you

0:22:10.640 --> 0:22:15.600
<v Speaker 1>end up adjusting your expectations of the future based on

0:22:15.760 --> 0:22:19.800
<v Speaker 1>those percentages. Yeah, and so those percentages could be based

0:22:19.840 --> 0:22:21.960
<v Speaker 1>on something in reality. I mean, like if you're looking

0:22:22.040 --> 0:22:25.879
<v Speaker 1>at good, well conducted poll data that's reflecting information about

0:22:25.920 --> 0:22:28.440
<v Speaker 1>reality that you might want to adjust according to that, right,

0:22:28.680 --> 0:22:32.040
<v Speaker 1>if it's good information. But somebody could also bias you

0:22:32.359 --> 0:22:36.040
<v Speaker 1>with bad information, uh, just by using the anchoring effect.

0:22:36.040 --> 0:22:39.240
<v Speaker 1>If they just put a ridiculous number that's not true

0:22:39.280 --> 0:22:42.200
<v Speaker 1>in front of your face, chances are that this will

0:22:42.280 --> 0:22:47.760
<v Speaker 1>actually influence the extent to which will influence your self

0:22:47.840 --> 0:22:51.199
<v Speaker 1>synthesized probability judgment. Yeah, Like there's I say, there's a

0:22:51.240 --> 0:22:56.680
<v Speaker 1>poll that comes out and says, of wizards think Voldemort,

0:22:57.160 --> 0:22:59.520
<v Speaker 1>it will be a great ruler of the Earth, you know,

0:22:59.600 --> 0:23:02.760
<v Speaker 1>and then you're like, well, who, I don't know, is

0:23:02.800 --> 0:23:05.480
<v Speaker 1>kind of high. It's probably more like sixty, right when

0:23:05.600 --> 0:23:09.400
<v Speaker 1>when really most wizards, maybe of wizards think Baltimore is great.

0:23:09.440 --> 0:23:13.320
<v Speaker 1>I don't know. I leave that to the the Potter fans. Yeah,

0:23:13.359 --> 0:23:15.479
<v Speaker 1>I don't know what the percent is, but yeah, you

0:23:15.520 --> 0:23:18.600
<v Speaker 1>could be anchored and biased that way. So it affects

0:23:18.680 --> 0:23:21.919
<v Speaker 1>these probability estimates. I know one thing they tested it

0:23:21.960 --> 0:23:25.880
<v Speaker 1>on was like likelihood estimates of nuclear war. You can

0:23:25.960 --> 0:23:29.520
<v Speaker 1>bias people's answers with anchors there. It has been shown

0:23:29.560 --> 0:23:34.240
<v Speaker 1>to influence legal judgments like sentencing and uh and liability

0:23:34.280 --> 0:23:38.000
<v Speaker 1>for punitive damages. It's been shown to influence this is

0:23:38.000 --> 0:23:42.720
<v Speaker 1>a huge one, valuations and prices, right, how much you'd

0:23:42.720 --> 0:23:46.120
<v Speaker 1>be willing to pay for something. That's a really common example. Uh,

0:23:46.119 --> 0:23:50.280
<v Speaker 1>it would be it's been used in in forecasting examples

0:23:50.359 --> 0:23:53.400
<v Speaker 1>like how much you would expect to spend on a restaurant.

0:23:53.840 --> 0:23:57.719
<v Speaker 1>And here's a really weird thing. The types of anchors

0:23:57.760 --> 0:24:03.000
<v Speaker 1>that influence people don't have to seem credible. People can

0:24:03.040 --> 0:24:07.320
<v Speaker 1>be influenced. These studies have shown by things that obviously

0:24:07.400 --> 0:24:10.919
<v Speaker 1>shouldn't be influences. They don't have to like frame this, uh,

0:24:11.000 --> 0:24:14.040
<v Speaker 1>this anchoring number that they prime you with as coming

0:24:14.119 --> 0:24:17.480
<v Speaker 1>from some reasonable authority or something like that. They can

0:24:17.520 --> 0:24:20.760
<v Speaker 1>just prime you with a random number that doesn't matter

0:24:20.800 --> 0:24:23.639
<v Speaker 1>at all. Some studies have people spinning a wheel to

0:24:23.720 --> 0:24:27.680
<v Speaker 1>get a random number, and the random number still biases

0:24:27.720 --> 0:24:32.360
<v Speaker 1>your answer toward it. So just a random approval rating

0:24:32.400 --> 0:24:34.800
<v Speaker 1>for Boltimore, I could say, even though it's super high

0:24:35.840 --> 0:24:39.280
<v Speaker 1>approval rating among wizards of Baltimore. Apparently you could spin

0:24:39.320 --> 0:24:42.480
<v Speaker 1>a wheel in front of people so that it's entirely

0:24:42.520 --> 0:24:45.080
<v Speaker 1>clear to them that the number is random and you're

0:24:45.200 --> 0:24:48.480
<v Speaker 1>it's not coming from real data, and still showing that

0:24:48.560 --> 0:24:51.520
<v Speaker 1>higher number from the random spin of the wheel would

0:24:51.560 --> 0:24:55.200
<v Speaker 1>bias people's estimates towards the number. But we're getting ahead

0:24:55.200 --> 0:24:57.080
<v Speaker 1>of ourselves, because I think we should take a moment

0:24:57.400 --> 0:25:00.240
<v Speaker 1>to talk about the different theories about what explained means

0:25:00.320 --> 0:25:03.040
<v Speaker 1>the anchoring effect. Obviously, this thing's there. If you put

0:25:03.040 --> 0:25:05.320
<v Speaker 1>a number in front of somebody's face, it's going to

0:25:05.440 --> 0:25:09.240
<v Speaker 1>bias their estimate or their answer towards that number. But

0:25:09.520 --> 0:25:12.480
<v Speaker 1>why does this happen now we mentioned the idea was

0:25:13.280 --> 0:25:16.920
<v Speaker 1>very popularly explained by Knomon and Diverseki in nineteen seventy four,

0:25:17.240 --> 0:25:22.000
<v Speaker 1>and their original proposal of adjustment was was going up

0:25:22.080 --> 0:25:24.679
<v Speaker 1>or down from a given anchor. And so their idea

0:25:24.800 --> 0:25:28.520
<v Speaker 1>was you start with the anchor when you're trying to

0:25:28.560 --> 0:25:30.919
<v Speaker 1>reason out the answer to something. So I say, you know,

0:25:31.000 --> 0:25:36.080
<v Speaker 1>what was Sean Connery's salary in uh in Highland or two?

0:25:36.200 --> 0:25:38.960
<v Speaker 1>Was it thirty one million or or above or below?

0:25:39.640 --> 0:25:41.919
<v Speaker 1>The way people reason about that is they'd start with

0:25:41.960 --> 0:25:45.080
<v Speaker 1>thirty one million, and they'd say is that reasonable? And

0:25:45.119 --> 0:25:47.200
<v Speaker 1>then most people would say, no, it can't be that much.

0:25:47.520 --> 0:25:51.080
<v Speaker 1>So then they'd work their way down from thirty one

0:25:51.119 --> 0:25:55.760
<v Speaker 1>million to a place that starts to feel reasonable. And

0:25:55.800 --> 0:25:58.960
<v Speaker 1>so in that sense, you're sort of biasing yourself up

0:25:59.000 --> 0:26:02.359
<v Speaker 1>towards like the the utter top range of whatever you

0:26:02.440 --> 0:26:07.280
<v Speaker 1>might consider a reasonable range of answers. Does that make sense? Yes, yeah, definitely.

0:26:07.400 --> 0:26:09.960
<v Speaker 1>But this explanation does have problems. People have attacked it

0:26:10.000 --> 0:26:12.880
<v Speaker 1>in the literature because anchoring, for one thing, is often

0:26:12.920 --> 0:26:16.679
<v Speaker 1>shown to be unconscious. So if you're not doing this consciously,

0:26:16.720 --> 0:26:19.240
<v Speaker 1>it's kind of hard to explain how that whole process

0:26:19.280 --> 0:26:21.359
<v Speaker 1>could work itself out. Now that's not to say that

0:26:21.680 --> 0:26:24.280
<v Speaker 1>it's it's not ever conscious, because clearly, if someone's going

0:26:24.320 --> 0:26:27.439
<v Speaker 1>into negotiations of a price, you might go into it

0:26:27.520 --> 0:26:30.600
<v Speaker 1>saying I paid thirty dollars for this ticket. If I

0:26:30.640 --> 0:26:33.160
<v Speaker 1>could get forty, that would be great. So I'm gonna

0:26:33.200 --> 0:26:36.120
<v Speaker 1>start at forty knowing that they'll work me down closer

0:26:36.160 --> 0:26:39.160
<v Speaker 1>to what I actually expect to get. Yeah, you're totally right.

0:26:39.240 --> 0:26:42.760
<v Speaker 1>Sometimes it clearly is conscious, And in those conscious scenarios,

0:26:42.800 --> 0:26:45.600
<v Speaker 1>I think Conomon in Tversky's explanation might be right on

0:26:45.640 --> 0:26:50.040
<v Speaker 1>the money. But uh, it also in some cases is

0:26:50.040 --> 0:26:53.760
<v Speaker 1>clearly unconscious. And also it affects judgment whether or not

0:26:53.880 --> 0:26:56.720
<v Speaker 1>the anchor is anywhere close to the realm of a

0:26:56.760 --> 0:27:02.800
<v Speaker 1>reasonable range. So if I said, um, uh Sean Connery's

0:27:03.400 --> 0:27:06.720
<v Speaker 1>was was Sean Connery's salary in Highlander to the quickening,

0:27:07.520 --> 0:27:11.159
<v Speaker 1>uh eight million dollars? Or if I said, was it

0:27:11.280 --> 0:27:16.000
<v Speaker 1>ten billion dollars? Either way, that kind of thing has

0:27:16.040 --> 0:27:19.760
<v Speaker 1>been shown to influence to bias your answer toward it.

0:27:19.840 --> 0:27:23.280
<v Speaker 1>So whether it's within a somewhat reasonable range or not. Yeah,

0:27:23.359 --> 0:27:25.159
<v Speaker 1>and if you throw it throughout one of those Uh,

0:27:25.240 --> 0:27:28.360
<v Speaker 1>those figures, I'm thinking it's either exceedingly high or it's

0:27:28.640 --> 0:27:31.800
<v Speaker 1>it's pretty small for Sean Connery. Like if you, if

0:27:31.840 --> 0:27:35.200
<v Speaker 1>you'd if you'd asked me, did Sean Connery receive less

0:27:35.280 --> 0:27:37.920
<v Speaker 1>or more than a hundred dollars for his role in

0:27:38.600 --> 0:27:41.680
<v Speaker 1>in Highland or two? That would make me begin to think, well,

0:27:41.800 --> 0:27:44.280
<v Speaker 1>maybe he was paid of an exceedingly small amount of

0:27:44.320 --> 0:27:46.280
<v Speaker 1>money and it was there was some sort of special

0:27:46.320 --> 0:27:48.639
<v Speaker 1>studio deal about it, or he just did it for

0:27:48.640 --> 0:27:52.159
<v Speaker 1>the love of the franchise. Yeah, he just wanted to

0:27:52.160 --> 0:27:54.719
<v Speaker 1>support Highlander. He said, I'll to just take fifty thousand,

0:27:54.880 --> 0:27:58.080
<v Speaker 1>that's all I need. Uh Yeah, that would still bias

0:27:58.160 --> 0:28:01.360
<v Speaker 1>you way down from the true answer. Now, a different

0:28:01.480 --> 0:28:07.159
<v Speaker 1>hypothesis for explaining what causes the anchoring effect is something

0:28:07.200 --> 0:28:09.879
<v Speaker 1>that we're all very familiar with. It's often called the

0:28:09.920 --> 0:28:14.240
<v Speaker 1>selective accessibility hypothesis, but really this is just explaining the

0:28:14.320 --> 0:28:20.119
<v Speaker 1>anchoring effect through confirmatory hypothesis testing a k A. Confirmation bias.

0:28:20.200 --> 0:28:21.600
<v Speaker 1>Oh yes, this is a big one. This is like

0:28:21.640 --> 0:28:26.440
<v Speaker 1>the bugbear of scientific study or just critical thinking exactly.

0:28:26.520 --> 0:28:29.800
<v Speaker 1>So in this in this format, when you're trying to

0:28:29.840 --> 0:28:33.600
<v Speaker 1>find the answer to a question, you mainly seek reasons

0:28:33.640 --> 0:28:37.040
<v Speaker 1>to justify belief in the answer you already suspect. So

0:28:37.080 --> 0:28:39.600
<v Speaker 1>if a detective is trying to solve a murder and

0:28:39.640 --> 0:28:42.840
<v Speaker 1>he's got a gut feeling that Eugene did it, he's

0:28:42.880 --> 0:28:46.080
<v Speaker 1>going to unconsciously give greater weight to any piece of

0:28:46.120 --> 0:28:49.760
<v Speaker 1>evidence that makes Eugene look more guilty, and unconsciously ignore

0:28:49.960 --> 0:28:52.920
<v Speaker 1>or give less weight to evidence that points to somebody

0:28:52.960 --> 0:28:57.080
<v Speaker 1>else or exonerates Eugene. So instead of openly and inductively

0:28:57.200 --> 0:29:02.360
<v Speaker 1>just gathering evidence for all possibilities, he's subconsciously, without realizing it,

0:29:02.360 --> 0:29:05.960
<v Speaker 1>trying to build a case for the suspect he already

0:29:06.040 --> 0:29:10.120
<v Speaker 1>hypothesizes to be guilty. Uh. Confirmation bias. Another way of

0:29:10.160 --> 0:29:12.600
<v Speaker 1>explaining it is that a lot of times when we

0:29:12.680 --> 0:29:15.920
<v Speaker 1>think we're working like an investigator, we're really working like

0:29:15.960 --> 0:29:20.120
<v Speaker 1>a prosecutor. Right. Uh. An example that's come up recently

0:29:20.160 --> 0:29:25.080
<v Speaker 1>on the podcast is is that of scientific studies into

0:29:25.360 --> 0:29:29.560
<v Speaker 1>the effectiveness of prayer, right, because it's you can see

0:29:29.560 --> 0:29:31.400
<v Speaker 1>how it's easy for an individual to go into this

0:29:32.200 --> 0:29:36.720
<v Speaker 1>thinking that they are being completely objective, but if they

0:29:36.760 --> 0:29:39.760
<v Speaker 1>if part of their worldview, even if it's not, even

0:29:39.800 --> 0:29:43.120
<v Speaker 1>if they're not just like a hardcore believer. Now, if

0:29:43.160 --> 0:29:44.760
<v Speaker 1>it's a part of their past, if it's a part

0:29:44.800 --> 0:29:47.960
<v Speaker 1>of their history, Uh, then that could be a stumbling

0:29:47.960 --> 0:29:52.960
<v Speaker 1>block to like true objective exploration of prayer as having

0:29:53.000 --> 0:29:55.240
<v Speaker 1>some sort of an influence on the real world. Yeah,

0:29:55.240 --> 0:29:57.680
<v Speaker 1>but of course we we would. We should say that

0:29:57.760 --> 0:30:01.040
<v Speaker 1>this doesn't mean things like prayer studies are do because

0:30:01.080 --> 0:30:03.800
<v Speaker 1>you can certainly design I mean, this is what science

0:30:03.840 --> 0:30:06.360
<v Speaker 1>is for. This is why you design experiments. You try

0:30:06.360 --> 0:30:09.400
<v Speaker 1>to make them so that your your biases don't matter.

0:30:09.840 --> 0:30:13.800
<v Speaker 1>You structure an experiment to try to exclude the possibility

0:30:13.880 --> 0:30:16.840
<v Speaker 1>of your bias interfering with the results. But I think

0:30:16.880 --> 0:30:19.280
<v Speaker 1>that the other takeaway here is that there are there

0:30:19.280 --> 0:30:23.120
<v Speaker 1>are two types of bad prayer researchers. Essentially, there's the

0:30:23.440 --> 0:30:28.760
<v Speaker 1>researcher who is just objectively bad, that is saying, I

0:30:28.840 --> 0:30:32.160
<v Speaker 1>believe prayer is real and I'm going to I'm gonna

0:30:32.200 --> 0:30:35.560
<v Speaker 1>bend and break every rule to quote unquote prove it

0:30:35.600 --> 0:30:38.320
<v Speaker 1>in the study. And I think though that sort of

0:30:38.320 --> 0:30:41.800
<v Speaker 1>researcher tends to not exist. But then there's the second level,

0:30:41.800 --> 0:30:44.720
<v Speaker 1>and that's the individual who if you ask them about it,

0:30:44.760 --> 0:30:47.240
<v Speaker 1>if you were able to peer into their mind. They

0:30:47.240 --> 0:30:50.040
<v Speaker 1>believe they are doing the objective thing. They honestly think

0:30:50.040 --> 0:30:53.680
<v Speaker 1>they're doing a good job, probably, but they are still

0:30:53.800 --> 0:30:58.320
<v Speaker 1>leaning into their bias. Yeah, they're prosecuting the truth rather

0:30:58.400 --> 0:31:03.400
<v Speaker 1>than than investigating all open possibilities. Uh. Yeah. But then again,

0:31:03.400 --> 0:31:05.680
<v Speaker 1>like I said, I don't want to automatically tar anybody

0:31:05.680 --> 0:31:08.160
<v Speaker 1>who does a prayer study with that, but that clearly

0:31:08.880 --> 0:31:12.480
<v Speaker 1>is probably happening in some cases. Yeah. But the prosecution

0:31:12.520 --> 0:31:15.040
<v Speaker 1>example is great too because it brings up the idea

0:31:15.080 --> 0:31:20.360
<v Speaker 1>of leading questions, and the anchoring seems to indicate that

0:31:20.920 --> 0:31:24.680
<v Speaker 1>any question with a with a figure in it, with

0:31:24.680 --> 0:31:26.920
<v Speaker 1>with some sort of a number in it is kind

0:31:26.920 --> 0:31:29.800
<v Speaker 1>of a leading question if I'm giving you a starting

0:31:29.840 --> 0:31:33.320
<v Speaker 1>point for you to determine the value. Yeah, exactly. I

0:31:33.320 --> 0:31:36.240
<v Speaker 1>mean that that is, you could say that leading questions

0:31:36.680 --> 0:31:39.800
<v Speaker 1>are something similar to the anchoring effect. You're trying to

0:31:39.840 --> 0:31:42.080
<v Speaker 1>give people a place to work from in the content

0:31:42.120 --> 0:31:45.640
<v Speaker 1>of the question. Now there's a third explanation for how

0:31:45.720 --> 0:31:49.880
<v Speaker 1>the anchoring effect works. Apart from the anchoring an adjustment

0:31:49.920 --> 0:31:53.600
<v Speaker 1>theory of Konomon and Tversky, and apart from the confirmation

0:31:53.640 --> 0:31:56.920
<v Speaker 1>bias or selective accessibility model and The third one is

0:31:56.960 --> 0:32:01.240
<v Speaker 1>often known as the attitude change model, and this uh

0:32:01.800 --> 0:32:04.720
<v Speaker 1>to think about the simple version of this. Essentially, in

0:32:04.760 --> 0:32:09.160
<v Speaker 1>the attitude change model, the anchor is treated as something

0:32:09.240 --> 0:32:13.000
<v Speaker 1>that changes your attitude towards the nature of the question.

0:32:13.120 --> 0:32:15.520
<v Speaker 1>In other words, the anchor is treated as a kind

0:32:15.560 --> 0:32:19.680
<v Speaker 1>of hint. Now, a lot of people might have reacted

0:32:19.720 --> 0:32:21.480
<v Speaker 1>to the stuff I said at the beginning of the

0:32:21.480 --> 0:32:25.760
<v Speaker 1>episode that way, like, oh, if you said, um, you know,

0:32:25.880 --> 0:32:29.800
<v Speaker 1>did Marie Cury live till after? She probably lived more

0:32:29.840 --> 0:32:32.479
<v Speaker 1>than that. But I bet that is like a cue

0:32:32.600 --> 0:32:36.120
<v Speaker 1>or a hint that she died young. Does that make sense? No,

0:32:36.280 --> 0:32:38.000
<v Speaker 1>I think that makes perfect sense. I think that is.

0:32:38.160 --> 0:32:40.360
<v Speaker 1>That is the way I tend to think about trivia

0:32:40.480 --> 0:32:44.080
<v Speaker 1>questions if one's pulling out some trivia cards just you know,

0:32:44.080 --> 0:32:47.160
<v Speaker 1>with friends or family. Like one example, there's a wonderful

0:32:47.200 --> 0:32:49.080
<v Speaker 1>little card game called are You Smarter Than a Box

0:32:49.080 --> 0:32:53.520
<v Speaker 1>of Rocks? And it's each trivia question the answer is

0:32:53.560 --> 0:32:56.720
<v Speaker 1>going to be zero, one or two, and you shake

0:32:56.760 --> 0:32:59.480
<v Speaker 1>a box of rocks, and the answers will will be

0:32:59.520 --> 0:33:02.120
<v Speaker 1>based on the random way that the rocks of fall

0:33:02.160 --> 0:33:05.200
<v Speaker 1>together a zero one or two, so that you're playing

0:33:05.200 --> 0:33:07.640
<v Speaker 1>against a box of rocks. But you go into every

0:33:07.720 --> 0:33:11.040
<v Speaker 1>question knowing that the answer is going to be low.

0:33:11.120 --> 0:33:13.880
<v Speaker 1>It cannot be greater than two, right, So in that case,

0:33:14.160 --> 0:33:17.440
<v Speaker 1>you are being primed with an anchor each time you

0:33:17.520 --> 0:33:20.880
<v Speaker 1>play with something that is informationally relevant, like it actually

0:33:21.000 --> 0:33:24.360
<v Speaker 1>is that that is useful information that's going to buy

0:33:24.400 --> 0:33:28.040
<v Speaker 1>us your answer toward correct answers. But in the case

0:33:28.120 --> 0:33:30.960
<v Speaker 1>of anchoring, there is plenty of evidence that you can

0:33:31.120 --> 0:33:36.440
<v Speaker 1>bias people's answers towards incorrect answers. Obviously incorrect answers answers

0:33:36.480 --> 0:33:39.840
<v Speaker 1>they would never give unless they've been given this anchor

0:33:39.880 --> 0:33:42.520
<v Speaker 1>before making the judgment. You know. Another area I think

0:33:42.520 --> 0:33:45.160
<v Speaker 1>we were one running runs into this a lot, uh

0:33:45.440 --> 0:33:48.560
<v Speaker 1>is the area of star ratings for things. You know,

0:33:48.800 --> 0:33:56.200
<v Speaker 1>if you see a five star rating for a particular service, podcast, movie, book, game,

0:33:56.240 --> 0:33:59.000
<v Speaker 1>you name it, uh, that is going to serve as

0:33:59.000 --> 0:34:02.520
<v Speaker 1>an as an anchoring point for your evaluation of the

0:34:02.560 --> 0:34:05.920
<v Speaker 1>product or one star. Yeah, well I think that they're

0:34:06.000 --> 0:34:10.000
<v Speaker 1>they're clearly is for example, a critical hurting effect about

0:34:10.080 --> 0:34:12.880
<v Speaker 1>if you look at the way critics opinions pour in

0:34:12.960 --> 0:34:16.840
<v Speaker 1>for movies and video games and things like that, especially

0:34:16.880 --> 0:34:19.600
<v Speaker 1>any system maybe less so for things like books where

0:34:19.600 --> 0:34:23.520
<v Speaker 1>there's not as much of an organized numerical rating system

0:34:23.600 --> 0:34:27.280
<v Speaker 1>that people use. But yeah, for like movies, the Rotten

0:34:27.320 --> 0:34:31.400
<v Speaker 1>Tomatoes score or whatever. I do really get the feeling

0:34:31.560 --> 0:34:35.200
<v Speaker 1>that once you've seen that lots of other critics like something,

0:34:35.280 --> 0:34:37.920
<v Speaker 1>you're more likely to give it a fair shake. Like

0:34:38.000 --> 0:34:40.839
<v Speaker 1>you might just pay more attention when you're watching it

0:34:41.320 --> 0:34:44.359
<v Speaker 1>and think, Okay, this is something interesting going on here.

0:34:44.400 --> 0:34:46.719
<v Speaker 1>You might have watched the same movie otherwise and just

0:34:46.840 --> 0:34:49.359
<v Speaker 1>kind of been checking your phone and I was like, oh,

0:34:49.360 --> 0:34:51.560
<v Speaker 1>it was okay. Yeah, And it kind of opens your

0:34:51.560 --> 0:34:55.839
<v Speaker 1>mind to the possibility for wonder um in something which

0:34:56.000 --> 0:34:58.400
<v Speaker 1>it in something that is his low stakes this film

0:34:58.480 --> 0:35:00.000
<v Speaker 1>for most of us, you know, unless you're a perfec

0:35:00.040 --> 0:35:04.520
<v Speaker 1>national um in the in the industry for the most part,

0:35:04.560 --> 0:35:06.680
<v Speaker 1>Like that's a good thing. Why I'm all for finding

0:35:06.719 --> 0:35:10.040
<v Speaker 1>the wonder in a terrible film. Uh, But when you

0:35:10.080 --> 0:35:12.400
<v Speaker 1>apply that to other areas, to find the wonder in

0:35:12.440 --> 0:35:16.280
<v Speaker 1>a terrible automobile, to find the wonder in a terrible

0:35:16.680 --> 0:35:20.719
<v Speaker 1>political candidate like that, the stakes are higher. I'm a

0:35:20.920 --> 0:35:25.680
<v Speaker 1>I'm a real devotee of cult b cars. We need

0:35:25.719 --> 0:35:30.400
<v Speaker 1>like a mystery science theater of household appliances. Yeah, that

0:35:30.480 --> 0:35:34.240
<v Speaker 1>the silhouettes are all missing fingers in that in that example. Okay,

0:35:34.280 --> 0:35:36.719
<v Speaker 1>I guess we should move on to and we're still

0:35:36.719 --> 0:35:40.080
<v Speaker 1>working mainly from that two thousand eleven paper I mentioned earlier.

0:35:40.400 --> 0:35:42.319
<v Speaker 1>Uh to mention a few of the factors that have

0:35:42.400 --> 0:35:46.799
<v Speaker 1>been found to affect or influence the anchoring effect, one

0:35:46.800 --> 0:35:49.759
<v Speaker 1>of which is mood. I thought this was kind of

0:35:49.800 --> 0:35:52.960
<v Speaker 1>interesting because it actually runs counter to some of the

0:35:52.960 --> 0:35:56.839
<v Speaker 1>ways that mood affects other types of judgment. Here's how

0:35:56.880 --> 0:36:01.120
<v Speaker 1>it goes. Being sad has been found to generally make

0:36:01.200 --> 0:36:05.880
<v Speaker 1>you more susceptible to anchoring. This is odd because the

0:36:06.000 --> 0:36:10.200
<v Speaker 1>general understanding is that people reason better when they're in

0:36:10.239 --> 0:36:13.479
<v Speaker 1>a sad mood than when they're in a happy mood. Yeah,

0:36:13.480 --> 0:36:16.359
<v Speaker 1>it's kind of the idea you want your shoppers happy, right,

0:36:16.800 --> 0:36:20.120
<v Speaker 1>Like a happy shopper is gonna enter and leave with

0:36:20.120 --> 0:36:21.759
<v Speaker 1>a smile on their face. But this makes it sound

0:36:21.760 --> 0:36:25.040
<v Speaker 1>like the opposite that you want sad shoppers. Yeah. Despite

0:36:25.040 --> 0:36:28.359
<v Speaker 1>the fact that information is generally processed more efficiently when

0:36:28.440 --> 0:36:31.360
<v Speaker 1>judges are in a sad mood. Uh, This it's the

0:36:31.400 --> 0:36:35.000
<v Speaker 1>opposite for the anchoring effect. To quote from the paper

0:36:35.040 --> 0:36:38.120
<v Speaker 1>I mentioned the two eleven paper quote. However, an exception

0:36:38.160 --> 0:36:42.960
<v Speaker 1>to this rule is judgmental anchoring. Bowdenhausen and Englick and

0:36:43.040 --> 0:36:46.239
<v Speaker 1>Soda found that participants in a sad mood were more

0:36:46.360 --> 0:36:50.279
<v Speaker 1>susceptible to the heuristic bias of anchoring in comparison to

0:36:50.320 --> 0:36:53.120
<v Speaker 1>their counterparts in a neutral or happy mood. From the

0:36:53.200 --> 0:36:57.440
<v Speaker 1>attitude change perspective, sad mood causes people to engage in

0:36:57.520 --> 0:37:02.839
<v Speaker 1>more effortful processing, where people interpret information through elaboration on

0:37:02.880 --> 0:37:06.520
<v Speaker 1>their existing knowledge and determine the claim to be acceptable

0:37:06.640 --> 0:37:10.520
<v Speaker 1>or unacceptable. So maybe the idea here is that people

0:37:10.520 --> 0:37:14.280
<v Speaker 1>in a sad mood are more likely to spend more

0:37:14.320 --> 0:37:18.799
<v Speaker 1>time reading into the question on anchoring, doing that attitude

0:37:18.880 --> 0:37:21.799
<v Speaker 1>change thing, looking for a hint in the question, and

0:37:21.880 --> 0:37:25.440
<v Speaker 1>this hint can bias them way off the mark. Okay,

0:37:25.440 --> 0:37:28.520
<v Speaker 1>well what about the knowledge of the participants? This comes

0:37:28.560 --> 0:37:31.279
<v Speaker 1>back to the to your initial question. Like I, I

0:37:31.360 --> 0:37:33.680
<v Speaker 1>had read this book right, had researched this topic before,

0:37:33.880 --> 0:37:35.480
<v Speaker 1>so I felt like I had a leg up on

0:37:35.520 --> 0:37:38.320
<v Speaker 1>the question. Yeah, if you've just been reading about Marie

0:37:38.360 --> 0:37:41.600
<v Speaker 1>Curry's life, you probably knew the right answer, and that

0:37:41.719 --> 0:37:44.200
<v Speaker 1>anchor wasn't going to throw you right. So there are

0:37:44.280 --> 0:37:47.239
<v Speaker 1>some cases where obviously knowledge can play a difference, but

0:37:47.440 --> 0:37:51.479
<v Speaker 1>in general, knowledge of a subject area has not been

0:37:51.560 --> 0:37:54.840
<v Speaker 1>shown to be a strong way of undercutting the anchoring effect.

0:37:55.320 --> 0:37:59.360
<v Speaker 1>Even if you're knowledgeable in a subject area, you're still

0:37:59.400 --> 0:38:03.520
<v Speaker 1>susceptible all to anchoring. Examples that have been tested here

0:38:03.560 --> 0:38:06.960
<v Speaker 1>are that, for example, car mechanics and car dealers were

0:38:07.000 --> 0:38:11.440
<v Speaker 1>influenced by anchors on car prices. Estate agents adjust to

0:38:11.480 --> 0:38:15.239
<v Speaker 1>their estate value estimates towards anchors. Even if you know

0:38:15.320 --> 0:38:19.960
<v Speaker 1>what you're talking about, anchors will probably still affect you. Huh. Well,

0:38:20.000 --> 0:38:22.080
<v Speaker 1>I mean, on one level, this makes sense because there's

0:38:22.239 --> 0:38:24.719
<v Speaker 1>we of course have the adage a little knowledge is

0:38:24.760 --> 0:38:27.840
<v Speaker 1>a dangerous thing. Uh And and certainly one can be

0:38:27.960 --> 0:38:32.600
<v Speaker 1>knowledgeable in a field or or what not without being

0:38:32.800 --> 0:38:35.080
<v Speaker 1>an expert in that area. There are gonna be holes

0:38:35.080 --> 0:38:38.520
<v Speaker 1>in your knowledge. There's gonna be room for doubt and

0:38:38.640 --> 0:38:42.120
<v Speaker 1>uh and and that and where there's doubt, there seems

0:38:42.120 --> 0:38:45.080
<v Speaker 1>like there's a susceptibility to anchoring. I'm sure that's not

0:38:45.160 --> 0:38:47.120
<v Speaker 1>always the case, but I think sometimes you've got some

0:38:47.160 --> 0:38:49.759
<v Speaker 1>sort of analog of the Dunning Kruger effect. Going on

0:38:49.960 --> 0:38:52.279
<v Speaker 1>where people who have more knowledge are going to be

0:38:52.320 --> 0:38:54.640
<v Speaker 1>a little more cautious people have less knowledge. You're just

0:38:54.719 --> 0:38:57.040
<v Speaker 1>kind of like, yeah, whatever, I'll give this answer. Well,

0:38:57.040 --> 0:38:59.000
<v Speaker 1>I mean there's more room for ego to get involved

0:38:59.000 --> 0:39:02.160
<v Speaker 1>to like take the the Highland or two question, as

0:39:02.200 --> 0:39:05.920
<v Speaker 1>I said, trivia about the budget of a film or

0:39:05.920 --> 0:39:08.400
<v Speaker 1>the growth of the film. Like, that's not an interest

0:39:08.440 --> 0:39:11.240
<v Speaker 1>area for me, and I'm not I'm not really hesitant

0:39:11.280 --> 0:39:13.839
<v Speaker 1>to be way off the mark on it. But if

0:39:13.880 --> 0:39:17.920
<v Speaker 1>it were a question about like a particular actor in

0:39:17.960 --> 0:39:21.480
<v Speaker 1>the film, like who played the villain in Highlander too,

0:39:21.960 --> 0:39:24.719
<v Speaker 1>which was because of course Michael Ironside. But if if

0:39:24.760 --> 0:39:27.680
<v Speaker 1>that name wasn't instantly coming to my head, I would

0:39:27.760 --> 0:39:31.600
<v Speaker 1>be less uh less brave about just blurting something out,

0:39:31.719 --> 0:39:35.040
<v Speaker 1>you know, because this is something I should know. So

0:39:35.040 --> 0:39:37.640
<v Speaker 1>I'm gonna be more cautious. Right. Well, the idea of

0:39:37.680 --> 0:39:42.279
<v Speaker 1>ego does introduce something about motivation, right, You can have

0:39:42.320 --> 0:39:46.000
<v Speaker 1>differential motivations and how you should try to answer questions.

0:39:46.360 --> 0:39:50.239
<v Speaker 1>Maybe the problem is, um people just don't care enough

0:39:50.280 --> 0:39:53.480
<v Speaker 1>to really try to answers answer these questions. Right, So

0:39:53.520 --> 0:39:56.279
<v Speaker 1>what happens if you give people incentives to get the

0:39:56.320 --> 0:39:59.839
<v Speaker 1>answer right, The answer is not much. Incentives and pay

0:39:59.840 --> 0:40:02.680
<v Speaker 1>off for accuracy have not been shown to correct the

0:40:02.719 --> 0:40:05.799
<v Speaker 1>anchoring effect. People are still affected by anchors And of

0:40:05.840 --> 0:40:07.279
<v Speaker 1>course this comes back to the idea that it is

0:40:07.320 --> 0:40:10.840
<v Speaker 1>an implicit process. Yeah, exactly, here's one that should be

0:40:10.880 --> 0:40:12.960
<v Speaker 1>a should be a total deal breaker. Here's how you

0:40:13.000 --> 0:40:16.839
<v Speaker 1>defeat the anchoring effect. Right for warning people, you say,

0:40:17.320 --> 0:40:20.600
<v Speaker 1>there's this thing called the anchoring effect, and we're going

0:40:20.680 --> 0:40:23.320
<v Speaker 1>to give you a number, and that number is probably

0:40:23.360 --> 0:40:26.960
<v Speaker 1>going to contaminate, uh, the way in which you answer

0:40:27.040 --> 0:40:29.480
<v Speaker 1>the question, So that number is going to bias your

0:40:29.520 --> 0:40:33.640
<v Speaker 1>answer towards that number. Be aware of the anchoring effect. Unfortunately,

0:40:34.040 --> 0:40:37.600
<v Speaker 1>studies have shown this doesn't work. Even when you explain

0:40:37.719 --> 0:40:40.600
<v Speaker 1>the anchoring effect to people and warn them that it

0:40:40.680 --> 0:40:44.239
<v Speaker 1>may be biasing their thinking, they are still vulnerable to it.

0:40:44.560 --> 0:40:46.600
<v Speaker 1>I want to try one out. This is just off off,

0:40:47.400 --> 0:40:50.359
<v Speaker 1>just shooting from the hip. Here. How many dwarves are

0:40:50.480 --> 0:40:54.240
<v Speaker 1>in the Disney movie Snow White in the seven Dwarves?

0:40:54.280 --> 0:40:59.680
<v Speaker 1>More or less than thirty eight? Like, just running it

0:40:59.680 --> 0:41:02.400
<v Speaker 1>through my mind, I feel the contamination of that question,

0:41:02.640 --> 0:41:05.920
<v Speaker 1>even though the answer is obvious, even though there should

0:41:05.920 --> 0:41:09.960
<v Speaker 1>be no rational reason to gravitate towards thirty eight, it

0:41:09.960 --> 0:41:14.800
<v Speaker 1>it begins to introduce like weeds of of doubt. Yeah, yeah, totally.

0:41:15.320 --> 0:41:17.040
<v Speaker 1>I mean in the same way that I don't know

0:41:17.080 --> 0:41:21.960
<v Speaker 1>if you've ever had this experience of like reading a

0:41:21.960 --> 0:41:25.920
<v Speaker 1>an obvious like fake news article on the internet, like

0:41:26.000 --> 0:41:29.440
<v Speaker 1>somebody posts something it's like from a conspiracy theory website

0:41:29.560 --> 0:41:31.719
<v Speaker 1>or you know, one of those fake news websites, or

0:41:31.760 --> 0:41:34.600
<v Speaker 1>something that's just obviously made up, is not from a

0:41:34.640 --> 0:41:39.000
<v Speaker 1>reputable news source. Even though you know this is obviously untrue,

0:41:39.040 --> 0:41:41.759
<v Speaker 1>you can kind of feel it's sort of like, yeah,

0:41:41.920 --> 0:41:45.360
<v Speaker 1>creeping in this, like you don't have you don't you

0:41:45.520 --> 0:41:49.680
<v Speaker 1>honestly put any credence in it being true, But just

0:41:49.719 --> 0:41:52.919
<v Speaker 1>the fact that the words appear on the screen has

0:41:53.000 --> 0:41:56.680
<v Speaker 1>some kind of like magical conjuring effect on your mind

0:41:56.840 --> 0:42:00.400
<v Speaker 1>that makes you sort of start like entertaining doubts about reality.

0:42:00.840 --> 0:42:03.200
<v Speaker 1>Yeah yeah, no, I've I've felt the same thing. And

0:42:03.280 --> 0:42:06.920
<v Speaker 1>you see that too with just straight up tabloid coverage

0:42:07.000 --> 0:42:10.520
<v Speaker 1>and slanderous statements, like the mere fact that it is

0:42:10.840 --> 0:42:13.719
<v Speaker 1>pumped into a headline gives it a certain life that

0:42:13.800 --> 0:42:16.680
<v Speaker 1>it shouldn't have. Okay, but what about on the individual level.

0:42:16.680 --> 0:42:18.160
<v Speaker 1>Are are some of it is just going to be

0:42:18.200 --> 0:42:22.240
<v Speaker 1>more susceptible than others. Uh, it does appear by based

0:42:22.280 --> 0:42:26.160
<v Speaker 1>on some preliminary research that that is the case. But

0:42:26.320 --> 0:42:28.319
<v Speaker 1>this this is not as solid as some of the

0:42:28.320 --> 0:42:33.280
<v Speaker 1>other research. But preliminary research says that participants with high

0:42:33.360 --> 0:42:37.440
<v Speaker 1>conscientiousness and that generally means things like self control and

0:42:37.480 --> 0:42:43.040
<v Speaker 1>self discipline, and high agreeableness that's how long you how

0:42:43.040 --> 0:42:47.600
<v Speaker 1>well you get along with others, and low extroversion meaning

0:42:48.600 --> 0:42:52.560
<v Speaker 1>and people who are introverted. Those three things also coupled

0:42:52.600 --> 0:42:56.440
<v Speaker 1>with high openness to experience, which these are all getting

0:42:56.440 --> 0:43:00.160
<v Speaker 1>into the Big five personality traits, these things are are

0:43:00.200 --> 0:43:03.439
<v Speaker 1>more susceptible to the anchoring effect. But like I said,

0:43:03.840 --> 0:43:06.680
<v Speaker 1>the study cautions that these are these are not super

0:43:06.719 --> 0:43:09.480
<v Speaker 1>solid results. This is just sort of like something that

0:43:09.520 --> 0:43:12.759
<v Speaker 1>appears to possibly be true. Now, the question would be

0:43:12.800 --> 0:43:17.080
<v Speaker 1>why those traits, Why would those things lend lends susceptibility

0:43:17.080 --> 0:43:20.160
<v Speaker 1>to the anchoring effect. To quote from the two thousand

0:43:20.200 --> 0:43:24.760
<v Speaker 1>eleven study, quote, individuals with high conscientiousness engage in more

0:43:24.920 --> 0:43:29.200
<v Speaker 1>thorough thought processes before judgments are made. Those with high

0:43:29.280 --> 0:43:34.400
<v Speaker 1>agreeableness take the provided anchors seriously, and high openness to

0:43:34.440 --> 0:43:40.120
<v Speaker 1>experience influences individuals who are more sensitive to anchor cues. Also,

0:43:40.200 --> 0:43:42.879
<v Speaker 1>they say that low extra version is possibly explained through

0:43:42.880 --> 0:43:47.400
<v Speaker 1>a correlation with sad mood, which apparently increases susceptibility to

0:43:47.440 --> 0:43:50.960
<v Speaker 1>the anchoring effect. As we explained earlier. Huh. Now, now

0:43:51.000 --> 0:43:55.560
<v Speaker 1>the the openness, high openness to experience, that that rings

0:43:55.600 --> 0:43:57.879
<v Speaker 1>true from here as well. And I feel like I've

0:43:57.920 --> 0:44:02.319
<v Speaker 1>seen that represented in other studies looking at you know,

0:44:02.360 --> 0:44:07.319
<v Speaker 1>individuals with liberal or conservative viewpoints. Uh, someone might ask,

0:44:07.440 --> 0:44:10.000
<v Speaker 1>or are you open to new experiences? I see you're

0:44:10.040 --> 0:44:13.640
<v Speaker 1>into uh, you know, extreme sports and uh and and

0:44:13.680 --> 0:44:17.319
<v Speaker 1>other new novel things in your life. Sure, well, are

0:44:17.320 --> 0:44:19.680
<v Speaker 1>you open to the idea that Voldemort would make a

0:44:19.719 --> 0:44:22.960
<v Speaker 1>great president and Harry Potter was a terrorist? And maybe

0:44:23.000 --> 0:44:27.879
<v Speaker 1>you are? You know, you're open to alternative viewpoints, alternative worldviews, right,

0:44:28.400 --> 0:44:31.279
<v Speaker 1>And that kind of that kind of mind can be

0:44:31.320 --> 0:44:33.640
<v Speaker 1>a dangerous thing because if you have a closed off mind,

0:44:33.800 --> 0:44:36.520
<v Speaker 1>and it kind of runs both both ways, good information

0:44:36.600 --> 0:44:39.440
<v Speaker 1>is not getting in, but also maybe bad information is

0:44:39.520 --> 0:44:42.239
<v Speaker 1>less likely to get in. So so like I said

0:44:42.280 --> 0:44:45.520
<v Speaker 1>that that that aspect of the argument, definitely I think

0:44:45.600 --> 0:44:47.960
<v Speaker 1>rings true for me. Okay, here's another one. What about

0:44:48.000 --> 0:44:52.920
<v Speaker 1>analytical intelligence? Will people with just greater cognitive abilities be

0:44:52.920 --> 0:44:55.920
<v Speaker 1>better at avoiding the effects of anchoring? Uh? This is

0:44:55.960 --> 0:44:58.480
<v Speaker 1>one where research is divided on the topic, at least

0:44:58.480 --> 0:45:00.560
<v Speaker 1>to the time this meta review is under it can

0:45:00.640 --> 0:45:03.959
<v Speaker 1>there were conflicting results. Essentially, some studies seem to find

0:45:04.040 --> 0:45:07.880
<v Speaker 1>that those with greater cognitive abilities were more resistant to anchoring,

0:45:07.960 --> 0:45:11.560
<v Speaker 1>and another study you found Nope, not the case. Okay, Well,

0:45:11.640 --> 0:45:13.680
<v Speaker 1>I mean we've seen plenty of studies before that show

0:45:13.760 --> 0:45:17.080
<v Speaker 1>that very intelligent people can be deceived and can be

0:45:17.239 --> 0:45:22.520
<v Speaker 1>self deceiving. So it would make sense that you're, you know,

0:45:22.600 --> 0:45:25.919
<v Speaker 1>cognitive level would only have so much influence on your

0:45:25.960 --> 0:45:28.800
<v Speaker 1>susceptibility to anchoring. Yeah, I mean, it's one of the

0:45:28.840 --> 0:45:31.560
<v Speaker 1>things we talked about in our Science Communication Breakdown episode

0:45:31.600 --> 0:45:36.280
<v Speaker 1>is that being a smart person does not necessarily protect

0:45:36.440 --> 0:45:41.560
<v Speaker 1>you against radicalizing yourself with untrue beliefs on a partisan basis.

0:45:42.040 --> 0:45:45.560
<v Speaker 1>Maria Kanakova has an entire book, UH dealing with with

0:45:45.680 --> 0:45:47.960
<v Speaker 1>con artists, and one of her key points is it

0:45:48.120 --> 0:45:50.680
<v Speaker 1>very intelligent people can be duped by things like this. Yeah,

0:45:50.680 --> 0:45:53.640
<v Speaker 1>smart people are vulnerable to con artists she's got a

0:45:53.640 --> 0:45:55.879
<v Speaker 1>great story, and that it's not a great story. It's

0:45:55.880 --> 0:45:58.640
<v Speaker 1>a sad story, but it's about like, what is it?

0:45:58.719 --> 0:46:01.960
<v Speaker 1>A nuclear physicis cysts who gets taken in on this

0:46:02.040 --> 0:46:05.400
<v Speaker 1>bizarre drug running scheme. Yes, I believe. So I have

0:46:05.480 --> 0:46:07.880
<v Speaker 1>to revisit to make sure I got the details right.

0:46:07.920 --> 0:46:10.160
<v Speaker 1>But that's a good book. Book. It's worth reading, by

0:46:10.160 --> 0:46:11.919
<v Speaker 1>the way. All Right, we're gonna take a quick break

0:46:11.960 --> 0:46:13.600
<v Speaker 1>and when we come back, we'll give you a little

0:46:13.640 --> 0:46:19.000
<v Speaker 1>advice on how to avoid the anchoring effect. All right,

0:46:19.040 --> 0:46:22.480
<v Speaker 1>we're back. So the question you're obviously wondering about is

0:46:22.520 --> 0:46:25.120
<v Speaker 1>you We've gone through all these reasons that the anchoring

0:46:25.120 --> 0:46:29.040
<v Speaker 1>effect appears incredibly robust, despite the fact that people want

0:46:29.080 --> 0:46:30.920
<v Speaker 1>to be able to avoid it and not have it

0:46:31.000 --> 0:46:34.360
<v Speaker 1>influenced their thinking, it just seems to work every time.

0:46:35.040 --> 0:46:38.000
<v Speaker 1>Uh So, how do you get around it? Well, this

0:46:38.080 --> 0:46:40.640
<v Speaker 1>comes up in uh in the two thousand eleven paper

0:46:40.680 --> 0:46:46.520
<v Speaker 1>we've been discussing, and the results are not great. There

0:46:46.560 --> 0:46:50.160
<v Speaker 1>there is not a whole lot of hope to be offered. Um.

0:46:50.320 --> 0:46:53.600
<v Speaker 1>One of the one of the strategies that has been

0:46:53.960 --> 0:46:56.560
<v Speaker 1>put out there is something that might work is what's

0:46:56.600 --> 0:47:00.960
<v Speaker 1>known as the consider the opposite strategy. Now, this is

0:47:01.000 --> 0:47:05.200
<v Speaker 1>effective at some types of d biasing. De Biasing is

0:47:05.239 --> 0:47:07.960
<v Speaker 1>the process of, you know, trying to remove your personal bias,

0:47:08.760 --> 0:47:11.800
<v Speaker 1>and so consider the opposite strategies are Actually it seems

0:47:11.800 --> 0:47:15.600
<v Speaker 1>pretty simple, but it's worth learning how to do. When

0:47:15.640 --> 0:47:20.160
<v Speaker 1>you think something is true, just sit there and come

0:47:20.239 --> 0:47:23.120
<v Speaker 1>up with a list of reasons it might not be true.

0:47:23.480 --> 0:47:26.239
<v Speaker 1>I think this is reasonable. Yeah, I mean a sort

0:47:26.239 --> 0:47:30.440
<v Speaker 1>of a science fiction example would be Star Wars looking

0:47:30.480 --> 0:47:33.279
<v Speaker 1>at the the the Empire. Is the Empire good or

0:47:33.320 --> 0:47:36.200
<v Speaker 1>is the Empire bad? You're told that they're bad, but

0:47:36.280 --> 0:47:40.160
<v Speaker 1>sometimes it's helpful to entertain the opposite viewpoint. Maybe the

0:47:40.160 --> 0:47:42.400
<v Speaker 1>Empire was good. I don't know what the arguments for

0:47:42.440 --> 0:47:45.000
<v Speaker 1>that would be, but okay, I don't know if it

0:47:45.000 --> 0:47:47.040
<v Speaker 1>holds up anymore, but I feel like there was a

0:47:47.080 --> 0:47:52.160
<v Speaker 1>time when when the argument was more convincing, or at

0:47:52.239 --> 0:47:54.719
<v Speaker 1>least I couldn't see that the Empire is good, but

0:47:54.760 --> 0:47:58.080
<v Speaker 1>I could see that the rebellion is also evil. Yes,

0:47:58.200 --> 0:48:00.080
<v Speaker 1>I could say that the Empire and the rebellion and

0:48:00.080 --> 0:48:03.160
<v Speaker 1>are both evil. Yeah. I feel like they're leaning into

0:48:03.200 --> 0:48:06.279
<v Speaker 1>that more with the recent films, right, Maybe, I don't

0:48:06.320 --> 0:48:09.560
<v Speaker 1>know But anyway, it comes back to a popular bit

0:48:09.600 --> 0:48:12.680
<v Speaker 1>of advice that Timothy Leary gave everyone. Right. Yes, though

0:48:12.719 --> 0:48:14.440
<v Speaker 1>a lot of people say that, and I think a

0:48:14.440 --> 0:48:17.640
<v Speaker 1>lot of times they just think that means like, don't

0:48:17.640 --> 0:48:20.600
<v Speaker 1>believe what the man tells. That is a part of it.

0:48:20.680 --> 0:48:23.680
<v Speaker 1>But another very important part of thinking for yourself is

0:48:24.000 --> 0:48:29.359
<v Speaker 1>questioning your internal authority, questioning what seems reasonable to you

0:48:29.480 --> 0:48:31.960
<v Speaker 1>at this moment. And a good way to do that,

0:48:32.000 --> 0:48:36.440
<v Speaker 1>apparently is to try this consider the opposite strategy. Just

0:48:36.600 --> 0:48:39.239
<v Speaker 1>honestly do your best to come up with a list

0:48:39.280 --> 0:48:43.239
<v Speaker 1>of reasons why what you're thinking is probably wrong. And

0:48:43.320 --> 0:48:46.279
<v Speaker 1>then you consider that list and you think about are

0:48:46.360 --> 0:48:50.520
<v Speaker 1>these reasons reasonable? And so this this has been shown

0:48:50.760 --> 0:48:54.000
<v Speaker 1>to be effective at some things, some types of debiasing,

0:48:54.480 --> 0:48:57.680
<v Speaker 1>but apparently it is not shown to be very effective

0:48:57.680 --> 0:49:01.720
<v Speaker 1>with anchoring. Well that's not good at all. Nope. Another

0:49:01.760 --> 0:49:04.800
<v Speaker 1>thing I want to read a quote from the paper.

0:49:04.880 --> 0:49:08.040
<v Speaker 1>Quote in their popular book on behavioral economics, bell Ski

0:49:08.120 --> 0:49:11.880
<v Speaker 1>and Golovich warned people that they may be prone to

0:49:12.000 --> 0:49:15.560
<v Speaker 1>confirmation biases and anchoring if they make spending and investment

0:49:15.600 --> 0:49:20.200
<v Speaker 1>decisions without research. They are especially loyal to certain brands

0:49:20.280 --> 0:49:23.439
<v Speaker 1>or investments for the wrong reasons. They find it hard

0:49:23.480 --> 0:49:26.080
<v Speaker 1>to see investments for less than they paid for them,

0:49:26.280 --> 0:49:29.320
<v Speaker 1>and they rely on the seller's price rather than assessing

0:49:29.360 --> 0:49:33.040
<v Speaker 1>the value themselves. They advise people to avoid the pitfall

0:49:33.080 --> 0:49:37.560
<v Speaker 1>of anchoring by broadening their board of advisors, so listening

0:49:37.560 --> 0:49:42.680
<v Speaker 1>to more people, doing more thorough research before making economic decisions,

0:49:43.760 --> 0:49:46.360
<v Speaker 1>So not just relying on one anchor you're seeing in

0:49:46.400 --> 0:49:48.680
<v Speaker 1>the store, but trying to get as much information in

0:49:48.719 --> 0:49:54.480
<v Speaker 1>front of you as possible, looking at trends, being realistic

0:49:54.600 --> 0:49:57.520
<v Speaker 1>and taking the longer view, and showing a little more

0:49:57.600 --> 0:50:01.080
<v Speaker 1>humility when it comes to one's own judgment. And now

0:50:01.160 --> 0:50:03.239
<v Speaker 1>all of this seems like good advice to me, But

0:50:03.360 --> 0:50:07.279
<v Speaker 1>I don't know if this actually proves effective at overcoming

0:50:07.320 --> 0:50:10.920
<v Speaker 1>the anchoring bias, right, because in all of these cases,

0:50:11.040 --> 0:50:13.480
<v Speaker 1>if you just had this this checklist in your pocket,

0:50:13.840 --> 0:50:16.480
<v Speaker 1>you would still being You would still be employing it

0:50:16.600 --> 0:50:21.359
<v Speaker 1>explicitly trying to counter something that is occurring implicitly. Yeah,

0:50:21.400 --> 0:50:23.160
<v Speaker 1>Now there are a few other ideas I was just

0:50:23.239 --> 0:50:25.960
<v Speaker 1>thinking about that these are not tested, but I was

0:50:26.000 --> 0:50:28.120
<v Speaker 1>trying to think, well, what could you do given how

0:50:28.320 --> 0:50:34.759
<v Speaker 1>robust the anchoring effect is. Here's one whenever possible. What

0:50:34.840 --> 0:50:38.640
<v Speaker 1>can you do to avoid the anchor? Like in situations

0:50:38.680 --> 0:50:41.120
<v Speaker 1>where you're going to have to make a judgment and

0:50:41.160 --> 0:50:43.960
<v Speaker 1>you know that you may be exposed to an anchor

0:50:44.000 --> 0:50:48.040
<v Speaker 1>that works against you, just try to protect yourself from

0:50:48.040 --> 0:50:50.600
<v Speaker 1>being exposed to it. Do whatever you can to avoid

0:50:50.719 --> 0:50:54.840
<v Speaker 1>actually encountering that anchor. Huh. Then this sounds like a

0:50:54.920 --> 0:50:58.880
<v Speaker 1>potential role for a an Internet browser filter, like an

0:50:58.920 --> 0:51:02.240
<v Speaker 1>anchor filter, where it will take out any any leading

0:51:02.360 --> 0:51:05.359
<v Speaker 1>numbers and whatever you might be reading. Yeah, but then again,

0:51:05.400 --> 0:51:07.200
<v Speaker 1>it's hard to know how to do that right, Like,

0:51:07.239 --> 0:51:10.000
<v Speaker 1>you don't want to cut yourself off from incoming information

0:51:10.040 --> 0:51:12.520
<v Speaker 1>that may actually be useful to you. True, and you

0:51:12.560 --> 0:51:15.120
<v Speaker 1>don't just remove all numbers from your news feed. That

0:51:15.200 --> 0:51:18.200
<v Speaker 1>sounds a bit extreme. Yeah, here's another one that is

0:51:18.320 --> 0:51:24.080
<v Speaker 1>much more, much more directly related to price negotiations. Uh,

0:51:24.520 --> 0:51:28.480
<v Speaker 1>be preemptive, set your own anchor before you're a negotiating

0:51:28.480 --> 0:51:31.680
<v Speaker 1>opponent has a chance to set an anchor for you. So,

0:51:31.719 --> 0:51:33.880
<v Speaker 1>if you want to pay a lower price on something,

0:51:34.200 --> 0:51:36.319
<v Speaker 1>apparently a good way to do that is you be

0:51:36.440 --> 0:51:39.160
<v Speaker 1>the first person to say something and set your really

0:51:39.200 --> 0:51:42.839
<v Speaker 1>really really low estimate or high estimate. If you're looking right,

0:51:42.880 --> 0:51:45.480
<v Speaker 1>if you're paid, if you're trying to get paid, Yeah, exactly,

0:51:45.760 --> 0:51:48.040
<v Speaker 1>this sounds it sounds like the art of the deal

0:51:48.320 --> 0:51:51.080
<v Speaker 1>right here. I don't think exactly is the art of

0:51:51.120 --> 0:51:55.000
<v Speaker 1>the deal um, but yeah, you can use anchoring to

0:51:55.040 --> 0:51:56.759
<v Speaker 1>your advantage. Most of the time people are going to

0:51:56.800 --> 0:51:58.839
<v Speaker 1>be trying to use it against you, But there are

0:51:58.880 --> 0:52:02.080
<v Speaker 1>cases where we're normal people who are not in advertising

0:52:02.160 --> 0:52:05.440
<v Speaker 1>or sales or whatever can try to use this. For example,

0:52:05.880 --> 0:52:08.799
<v Speaker 1>studies have actually been conducted and found that when you

0:52:09.160 --> 0:52:10.960
<v Speaker 1>if you're trying to get a higher salary at work,

0:52:11.000 --> 0:52:14.520
<v Speaker 1>you're trying to negotiate your pay up. Uh, salary negotiations

0:52:14.560 --> 0:52:17.720
<v Speaker 1>that open with a very high request are more likely

0:52:17.760 --> 0:52:20.319
<v Speaker 1>to end up with a higher salary offer in the end,

0:52:20.680 --> 0:52:23.920
<v Speaker 1>even if the opening anchor you request is way too high.

0:52:24.920 --> 0:52:29.200
<v Speaker 1>So going to every negotiation saying thirty million dollars, just

0:52:29.239 --> 0:52:31.520
<v Speaker 1>go for the Sean Connery money right off the bat.

0:52:31.560 --> 0:52:33.720
<v Speaker 1>I don't know if thirty million dollars, I mean, maybe

0:52:33.719 --> 0:52:35.920
<v Speaker 1>it will. I don't know. Then again, I mean, I

0:52:35.960 --> 0:52:40.720
<v Speaker 1>feel like if you're negotiating with a with a business person,

0:52:40.800 --> 0:52:43.840
<v Speaker 1>they've probably been trained to some extent about some version

0:52:43.880 --> 0:52:47.240
<v Speaker 1>of the anchoring effects. But then again, as we've discussed earlier,

0:52:47.400 --> 0:52:50.080
<v Speaker 1>knowing that out, yeah, knowing about it doesn't make it

0:52:50.160 --> 0:52:52.000
<v Speaker 1>not work on you. Hey, if you want to check

0:52:52.000 --> 0:52:53.399
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0:52:53.440 --> 0:52:55.359
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0:52:57.920 --> 0:53:00.560
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0:53:05.520 --> 0:53:08.480
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0:53:08.560 --> 0:53:21.080
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