WEBVTT - Ep22 "What do we find beautiful?"

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<v Speaker 1>Why do briefly glimpsed people appear to be more attractive?

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<v Speaker 1>Why did portrait photographers used to put vaciline on their

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<v Speaker 1>lenses and what does that have to do with Instagram filters?

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<v Speaker 1>Why are thirsty people more likely to perceive something as transparent?

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<v Speaker 1>And what does any of this have to do with

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<v Speaker 1>mating or optimal decision making or puberty or frogs or

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<v Speaker 1>instincts or movie stars. Welcome to another episode of Inner

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<v Speaker 1>Cosmos with me David Eagleman. I'm a neuroscientist and an

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<v Speaker 1>author at Stanford and in these episodes, we sail deeply

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<v Speaker 1>into our three pound universe to understand the relationship between

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<v Speaker 1>our brains and our lives. Throughout this podcast, we're gonna

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<v Speaker 1>try to gain a better understanding of ourselves by practicing

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<v Speaker 1>the technique of viewing the familiar as strange. We'll look

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<v Speaker 1>at instincts, things that we do naturally, so naturally that

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<v Speaker 1>we never even think to question them. But digging in

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<v Speaker 1>on these things is how we come to develop a

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<v Speaker 1>deeper understanding of ourselves. And today's episode is about the

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<v Speaker 1>absolutely fascinating topic about how our brains determine for us

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<v Speaker 1>what we find beautiful. So beauty is found all around us,

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<v Speaker 1>in nature and in art and in music, and a

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<v Speaker 1>good life is full of beautiful moments like a sunset

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<v Speaker 1>or a compliment or a child's smile. But our interest

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<v Speaker 1>today is in people, and specifically on the notion of attraction,

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<v Speaker 1>So the notion of the movie star whose next movie

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<v Speaker 1>you just can't wait to see, mostly because you find

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<v Speaker 1>that person just so magnetically good looking, or the work

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<v Speaker 1>made or the neighbor or the person you knew from

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<v Speaker 1>your childhood who's just so amazingly attractive. So what is

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<v Speaker 1>going on in the brain here, What are the signals

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<v Speaker 1>that tell you that person is attractive? And what does

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<v Speaker 1>all that have to do with the propagation of the species.

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<v Speaker 1>So let's get started. There are hundreds of ways that

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<v Speaker 1>a person can be attractive to you, based on their

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<v Speaker 1>with or their brawn, or their kindness or their dedication

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<v Speaker 1>to a cause or whatever. But what we're going to

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<v Speaker 1>zoom in on today is about the first glimpse of someone,

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<v Speaker 1>the rapid assessment that takes your breath away, and that

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<v Speaker 1>magic moment is actually the end result of a great

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<v Speaker 1>deal of computation that your brain is doing under the hood. Now,

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<v Speaker 1>to start off, there's plenty of variation in what any

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<v Speaker 1>given person finds beautiful, and there's some amount of variation

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<v Speaker 1>across cultures too, in terms of how people dress and

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<v Speaker 1>how they act, and their bone structure and their facial

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<v Speaker 1>structure and all that. But what's interesting is that attractiveness

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<v Speaker 1>is not all in the eye of the beholder, and

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<v Speaker 1>beyond the personal and the cultural variations, some of the

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<v Speaker 1>most salient elements of attractiveness are hardwired. When researchers study attractiveness,

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<v Speaker 1>even cross culturally, they find a surprising concurrence in what

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<v Speaker 1>gets rated highly. There are particular things that draw us,

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<v Speaker 1>and mostly this has to do with largely unconscious signals

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<v Speaker 1>of health and fertility. And in a sense, you already

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<v Speaker 1>know this. Just look at the massive popularity of Instagram

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<v Speaker 1>and TikTok filters, which are used around the world. These

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<v Speaker 1>beautification filters aren't random. Instead, they move things in a

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<v Speaker 1>particular direction such that the photos look better to us,

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<v Speaker 1>and they work so much so that many young people

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<v Speaker 1>are totally unwilling to post photos without these filters in place.

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<v Speaker 1>So why what are these about? Let's look at this

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<v Speaker 1>from the point of view of biology. When you open

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<v Speaker 1>a biology textbook or watch a David Attenborough special, you

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<v Speaker 1>see bower birds or lions, or frogs, or butterflies or fish,

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<v Speaker 1>and you see these elaborate mating rituals. And of course,

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<v Speaker 1>being members of the animal kingdom, we can't pretend that

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<v Speaker 1>we don't have neural circuitry devoted to the same thing

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<v Speaker 1>as well, because one of the most important drives for

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<v Speaker 1>all creatures, including humans, is mate selection. How an animal

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<v Speaker 1>chooses who to reproduce with. And we see this all

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<v Speaker 1>across the animal kingdom, with feathers, with colors, with pheromones,

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<v Speaker 1>with behavioral displays, all all creatures are trying to do

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<v Speaker 1>things to make themselves more attractive to mate with. Now

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<v Speaker 1>the question is how does this play out in humans.

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<v Speaker 1>Needless to say, the reason you exist is because every

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<v Speaker 1>single one of your ancestors successfully mate it. That's the

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<v Speaker 1>single reason that you are here. Our species is so

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<v Speaker 1>successful at reproduction that we've taken over the entire planet

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<v Speaker 1>and the whole history of our species. Reproduction is driven

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<v Speaker 1>by attraction, judgments and issues of mate choice. Now, the

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<v Speaker 1>very first thing that blows my mind is how these

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<v Speaker 1>algorithms for finding something attractive get programmed into the genes,

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<v Speaker 1>which unfold the wiring of the brain and allow us

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<v Speaker 1>to grow up and have this attraction and sexual drive.

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<v Speaker 1>Because the weird thing is we inherit this psychological drive

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<v Speaker 1>for sexual interaction, but it doesn't kick in for years.

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<v Speaker 1>Is like thirteen years. So somehow the psychological machine code

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<v Speaker 1>is pre programmed genetically, but it gets archived for years

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<v Speaker 1>and years. So let's think about that. Everything that we

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<v Speaker 1>study in biology happens on the scale of milliseconds. You've

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<v Speaker 1>heard me talk about electrical spikes and neurons these last

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<v Speaker 1>one millisecond, and gene expression and chemical reactions and cells

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<v Speaker 1>and the CREB cycle and so on. All these things

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<v Speaker 1>are trucking along at the nanosecond time scale. So the

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<v Speaker 1>idea of programming something out of this material that takes

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<v Speaker 1>thirteen years to unpack is mind blowing. Now, how do

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<v Speaker 1>we know that sexuality isn't something that's learned? Well, Sometimes

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<v Speaker 1>young children get damage to their brains, usually via an

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<v Speaker 1>infection that leads to encephalitis, and then they end up

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<v Speaker 1>doing things that look like sexual acts, even though they're

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<v Speaker 1>too young to understand what they're doing. They end up

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<v Speaker 1>expressing these programs too early. And that's how we know

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<v Speaker 1>that these programs are in there, just waiting to be unpacked.

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<v Speaker 1>So for everyone else, for whom this program unpacks at

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<v Speaker 1>the right time. Once we've hit puberty, suddenly kids find

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<v Speaker 1>themselves paying attention to body parts that they never paid

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<v Speaker 1>much attention to before. If you draw a curvy line

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<v Speaker 1>and show it to a seven year old boy and

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<v Speaker 1>ask him to describe what he sees, he'll describe it

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<v Speaker 1>as mountains or an ocean wave or something. But show

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<v Speaker 1>him this exact same curved line when he's thirteen, and

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<v Speaker 1>he can't help but interpret the line as breasts and

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<v Speaker 1>buttocks and so on. Nothing changed in the outside world,

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<v Speaker 1>but his brain changed on the inside such that the

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<v Speaker 1>interpretation of the world changes. So we are hardwired. We're

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<v Speaker 1>preprogrammed to, at the right time be attracted to others,

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<v Speaker 1>like frogs to smell or by, or flies to colors,

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<v Speaker 1>or bower birds to a good nest and so on,

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<v Speaker 1>And suddenly it sucks up a lot of our mental energy.

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<v Speaker 1>And I'm stating the obvious here. This is because there

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<v Speaker 1>are few pressures as important as the evolutionary pressure to mate. Now,

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<v Speaker 1>something that's wild about this pre programming is that it

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<v Speaker 1>is very species specific. You don't find a horse's lips

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<v Speaker 1>kissable or a monkey's eyes something that you want to

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<v Speaker 1>gaze into romantically. But from a biologist's point of view,

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<v Speaker 1>they're not that different. They accomplish the same function using

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<v Speaker 1>the same machinery running on the same biological program. So

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<v Speaker 1>what's the difference. The difference is that you are pre

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<v Speaker 1>programmed to be mesmerized by the equipment of your own species,

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<v Speaker 1>and not by the wrong keys to a different lock,

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<v Speaker 1>even though they're so similar biologically. Now, note that to

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<v Speaker 1>the frog or the monkey or the turkey vulture, their

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<v Speaker 1>mate is the most magnetic thing in their world. You

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<v Speaker 1>could stand all day naked in front of a frog

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<v Speaker 1>and it just wouldn't care at all. It would have

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<v Speaker 1>zero interest in you. But if you stick the right

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<v Speaker 1>frog in front of it, that's the most wonderful, magnetic,

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<v Speaker 1>dizzying thing in the world, and they'll expend great effort

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<v Speaker 1>to get over there. So this notion of attractiveness drives everything,

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<v Speaker 1>But you typically don't have conscious access to the details

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<v Speaker 1>running under the hood. I mentioned in an earlier episode

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<v Speaker 1>about the unconscious brain. An experiment in which men were

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<v Speaker 1>asked to rank the attractiveness of different women's faces and photographs.

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<v Speaker 1>So the men flipped through all these photographs and ranked

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<v Speaker 1>each one from one to ten. Unbeknownst to the men,

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<v Speaker 1>in half the photos the women's eyes were dilated, but

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<v Speaker 1>in the other half they weren't, and the men were

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<v Speaker 1>consistently more attracted to the women with di dilated eyes.

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<v Speaker 1>But the men didn't have any insight into their decision making.

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<v Speaker 1>None of them said, oh, I noticed that her pupils

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<v Speaker 1>were two millimeters larger in this photo than this other one. Instead,

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<v Speaker 1>they simply felt more drawn towards some women than others,

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<v Speaker 1>for reasons they couldn't put a finger on. In the

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<v Speaker 1>largely inaccessible workings of their brains, something new that a

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<v Speaker 1>woman's dilated eyes correlates with sexual excitement. Their brains knew this,

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<v Speaker 1>but the men did not, not explicitly. They also presumably

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<v Speaker 1>didn't know that their feelings of attraction are deeply hardwired,

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<v Speaker 1>steered in the right direction by programs carved over millions

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<v Speaker 1>of years of natural selection. So when the men were

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<v Speaker 1>picking up their pencil and making their choices, they didn't

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<v Speaker 1>know that the choice was not theirs. Really, but instead

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<v Speaker 1>the choice of successful programs that had been burned deep

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<v Speaker 1>into the brain's circuitry over the course of hundreds of

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<v Speaker 1>thousands of generations. The great psychologist William James was one

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<v Speaker 1>of the first to really point to the hidden nature

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<v Speaker 1>of instincts, and he suggested that we coax instincts into

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<v Speaker 1>the light by a simple mental exercise. Try to make

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<v Speaker 1>the natural theme strange by asking the why of any

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<v Speaker 1>instinctive human act. So I'm going to read you an

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<v Speaker 1>incredible passage that he wrote in eighteen ninety, and it

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<v Speaker 1>goes like this quote, Why do we smile when pleased

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<v Speaker 1>and not scowl? Why are we unable to talk to

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<v Speaker 1>a crowd as we talk to a single friend. Why

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<v Speaker 1>does a particular maiden turn our wits so upside down?

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<v Speaker 1>The common man can only say, of course we smile.

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<v Speaker 1>Of course our heart palpitates at the sight of a crowd.

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<v Speaker 1>Of course we love the maiden, that beautiful soul clad

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<v Speaker 1>in the perfect form, so palpably and flagrantly made for

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<v Speaker 1>all eternity to be loved. And so probably does each

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<v Speaker 1>animal feel about the particular things it tends to do

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<v Speaker 1>in the presence of particular objects. To the lion. It

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<v Speaker 1>is the lioness which is made to be loved to

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<v Speaker 1>the bear, the she bear to the bruty. Hen the

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<v Speaker 1>notion would probably seem monstrous that there would be a

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<v Speaker 1>creature in the world to whom a nest full of

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<v Speaker 1>eggs was not the utterly fascinating and precious, and never

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<v Speaker 1>to be too much sad upon object which it is

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<v Speaker 1>to her. Thus we may be sure that, however mysterious

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<v Speaker 1>some animal's instincts may appear to us, our instincts will

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<v Speaker 1>appear no less mysterious to them end quote. So our

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<v Speaker 1>most hardwired instincts have usually been left out of the

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<v Speaker 1>spotlight of inquiry because we don't think to ask them,

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<v Speaker 1>and because psychologists have spent a lot of time working

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<v Speaker 1>to understand uniquely human acts like higher cognition, or how

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<v Speaker 1>things go wrong like human mental disorders. But the most automatic,

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<v Speaker 1>effortless acts, those that require the most specialized in complex

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<v Speaker 1>neural circuitry, they've been in front of us all along,

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<v Speaker 1>and in the case of today's exploration, that's the notion

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<v Speaker 1>of sexual attraction. Now, before I get back to that,

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<v Speaker 1>I want to make a general neuroscience point. The more

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<v Speaker 1>obvious and effortless something seems, the more we need to

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<v Speaker 1>suspect that it seems that way only because of the

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<v Speaker 1>massive circuitry that's living behind it. Take something like seeing,

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<v Speaker 1>the active seeing is so easy and rapid precisely because

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<v Speaker 1>we have so much circuitry dedicated to it. About a

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<v Speaker 1>third of the brain is devoted to vision. The more

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<v Speaker 1>effortless something seems, the more we can be pretty sure

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<v Speaker 1>that there's a lot of cycles being burned under the

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<v Speaker 1>hood to make it appear so. And the same principle

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<v Speaker 1>applies to our sexual attractions. Our lust circuits are not

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<v Speaker 1>driven by the shiny faced frog because we cannot mate

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<v Speaker 1>with frogs and they have nothing to do with our

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<v Speaker 1>genetic future. On the other hand, we do care quite

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<v Speaker 1>a bit about subtle human body language, or the dilation

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<v Speaker 1>of eyes or the fleshing of skin, because those things

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<v Speaker 1>broadcast important information about something that could impact our genetic future.

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<v Speaker 1>We live inside the fish bowl of our instincts, and

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<v Speaker 1>we typically have as little perception of them as the

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<v Speaker 1>fish does of its water. So our sense of beauty

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<v Speaker 1>and attraction is burned deeply and inaccessibly into the brain,

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<v Speaker 1>all with the purpose of accomplishing something biologically useful. So

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<v Speaker 1>think about the most beautiful person you know, just magnetic,

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<v Speaker 1>just some shouldn't say kuhah. When that person walks into

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<v Speaker 1>the room. The geography of the room changes a bit

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<v Speaker 1>as everyone turns to look. Our brains are exquisitely honed

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<v Speaker 1>to pick up on those signals. Simply because of small

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<v Speaker 1>details of symmetry and structure, that person enjoys a destiny

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<v Speaker 1>of greater popularity and faster promotions and a more successful career.

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<v Speaker 1>Our sense of attraction is not something just to be

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<v Speaker 1>studied by the pens of poets, but instead, our sense

0:15:41.280 --> 0:15:45.760
<v Speaker 1>of beauty results from specific signals that plug into dedicated

0:15:45.840 --> 0:15:49.320
<v Speaker 1>neural software the key in the lock. So I'll share

0:15:49.360 --> 0:15:52.280
<v Speaker 1>with you some data, and this is all research that

0:15:52.360 --> 0:15:55.920
<v Speaker 1>scientists have performed in the laboratory and published peer reviewed

0:15:55.920 --> 0:15:58.320
<v Speaker 1>papers on. I will say that there seems to be

0:15:58.360 --> 0:16:01.680
<v Speaker 1>more literature on what males attractive. But keep in mind

0:16:01.840 --> 0:16:04.200
<v Speaker 1>that even though it's often said that males are more

0:16:04.360 --> 0:16:07.760
<v Speaker 1>visually driven, much of this research goes the other way too.

0:16:08.360 --> 0:16:10.240
<v Speaker 1>And if you hear this data and you think, well, wait,

0:16:10.280 --> 0:16:12.880
<v Speaker 1>what about our gay friends, keep in mind that the

0:16:13.040 --> 0:16:17.320
<v Speaker 1>drive of attraction is deeply built into our psychology, and

0:16:17.360 --> 0:16:20.760
<v Speaker 1>sometimes the gender someone is attracted to can switch, but

0:16:20.880 --> 0:16:24.920
<v Speaker 1>the fundamental drives in the brain remain the same. This

0:16:25.040 --> 0:16:28.840
<v Speaker 1>is because the drive to reproduce is really the most

0:16:28.880 --> 0:16:32.760
<v Speaker 1>ancient brain circuitry we have, So even if someone does

0:16:32.800 --> 0:16:36.040
<v Speaker 1>not reproduce personally, they're still equipped with and driven by

0:16:36.600 --> 0:16:40.400
<v Speaker 1>the same circuitry which drives them towards sex. So let's

0:16:40.400 --> 0:16:42.280
<v Speaker 1>return to what I said at the beginning, which is

0:16:42.280 --> 0:16:46.360
<v Speaker 1>that the signals driving us are generally correlated with signals

0:16:46.360 --> 0:16:50.560
<v Speaker 1>of health and fertility. So until puberty, the faces and

0:16:50.600 --> 0:16:54.960
<v Speaker 1>body shapes of boys and girls are essentially similar. But

0:16:55.040 --> 0:17:00.000
<v Speaker 1>the rise in estrogen in pubescent girls gives them fuller lifts,

0:17:00.560 --> 0:17:04.960
<v Speaker 1>while testosterone and boys produces a more prominent chin and

0:17:05.000 --> 0:17:09.680
<v Speaker 1>a larger nose and a fuller jaw. Estrogen causes the

0:17:09.720 --> 0:17:14.679
<v Speaker 1>growth of breasts and buttocks, while testosterone encourages the growth

0:17:14.720 --> 0:17:20.480
<v Speaker 1>of muscles and broad shoulders. So for a female, full lips,

0:17:20.680 --> 0:17:25.800
<v Speaker 1>full buttocks, narrow waste. This broadcasts a clear message I'm

0:17:25.840 --> 0:17:30.720
<v Speaker 1>full of estrogen and fertile. For a male, it's the

0:17:30.760 --> 0:17:34.840
<v Speaker 1>full jaw, the stubble, the broad chest. This is the

0:17:34.920 --> 0:17:38.600
<v Speaker 1>kind of stuff that we're programmed to find beautiful. The

0:17:38.840 --> 0:17:43.320
<v Speaker 1>external signs tell us something about the internal, and our

0:17:43.400 --> 0:17:47.360
<v Speaker 1>neural programs are so ingrained that there's not much variation

0:17:47.520 --> 0:17:53.000
<v Speaker 1>across the population. Researchers have measured a surprisingly narrow range

0:17:53.119 --> 0:17:57.440
<v Speaker 1>of the female proportions that males find most attractive. The

0:17:57.520 --> 0:18:01.240
<v Speaker 1>optimal ratio between the waist and hips is typically between

0:18:01.560 --> 0:18:05.960
<v Speaker 1>point sixty seven and point eight. Back when Playboy centerfolds

0:18:06.000 --> 0:18:09.400
<v Speaker 1>were a thing, researchers studied those and found that their

0:18:09.440 --> 0:18:13.680
<v Speaker 1>waist hip ratios remained at about point seven over time,

0:18:13.800 --> 0:18:17.000
<v Speaker 1>even over the decades as the average weight of a

0:18:17.040 --> 0:18:21.440
<v Speaker 1>centerfold moved up or down. As women grow older, their

0:18:21.520 --> 0:18:26.000
<v Speaker 1>features change in ways that depart from these proportions, their

0:18:26.040 --> 0:18:30.400
<v Speaker 1>middles sticking, their lips thin, their breasts sag, and so on,

0:18:30.560 --> 0:18:33.840
<v Speaker 1>all of which broadcasts the visual signal that they are

0:18:34.000 --> 0:18:37.640
<v Speaker 1>past peak fertility. So a young man ends up being

0:18:37.760 --> 0:18:41.160
<v Speaker 1>less attracted to an elderly woman than to a young

0:18:41.200 --> 0:18:45.760
<v Speaker 1>adult woman. His neural circuits have a clear mission reproduce,

0:18:45.880 --> 0:18:50.040
<v Speaker 1>and his conscious mind receives only the need to know headline,

0:18:50.119 --> 0:18:54.280
<v Speaker 1>she's really attractive, and nothing more. All these computations are

0:18:54.359 --> 0:18:59.760
<v Speaker 1>performed unconsciously. Now, males are often more visually driven than females,

0:18:59.760 --> 0:19:03.800
<v Speaker 1>but women are nonetheless subject to the same internal forces.

0:19:03.800 --> 0:19:08.280
<v Speaker 1>They are drawn by the attractive features that flag the

0:19:08.320 --> 0:19:11.840
<v Speaker 1>maturity of manhood. Now, an interesting twist is that a

0:19:11.920 --> 0:19:16.520
<v Speaker 1>woman's preferences can change depending on the time of month.

0:19:17.040 --> 0:19:21.480
<v Speaker 1>Women prefer masculine looking men when they're ovulating, but when

0:19:21.480 --> 0:19:25.600
<v Speaker 1>they're not ovulating, the data suggests that they prefer softer features,

0:19:25.640 --> 0:19:30.159
<v Speaker 1>which presumably flag more social and caring behavior. Although the

0:19:30.320 --> 0:19:35.360
<v Speaker 1>programs of seduction and pursuit run almost entirely unconsciously, the

0:19:35.520 --> 0:19:38.640
<v Speaker 1>endgame is obvious to everyone, and this is why millions

0:19:38.720 --> 0:19:43.159
<v Speaker 1>of people shell out billions of dollars for facelifts and

0:19:43.240 --> 0:19:47.040
<v Speaker 1>tummy tucks and implants and light bosuction and botox. They're

0:19:47.160 --> 0:19:52.199
<v Speaker 1>working to tap into that strong correlation in other people's

0:19:52.280 --> 0:19:57.600
<v Speaker 1>brains between their external and internal. They're working to maintain

0:19:57.680 --> 0:20:23.560
<v Speaker 1>the keys that unlock the pro programs in other people's brains. So,

0:20:23.640 --> 0:20:27.240
<v Speaker 1>as I've said, we have almost no direct access into

0:20:27.280 --> 0:20:32.800
<v Speaker 1>the mechanics of our attractions. Instead, visual information plugs into

0:20:33.080 --> 0:20:37.240
<v Speaker 1>ancient neural modules that drive our behavior. Recall that experiment

0:20:37.280 --> 0:20:39.840
<v Speaker 1>that I just mentioned when men ranked the beauty of

0:20:39.880 --> 0:20:43.280
<v Speaker 1>women's faces. They found the women with dilated eyes more

0:20:43.320 --> 0:20:47.600
<v Speaker 1>attractive because dilated eyes signal sexual interest, but the men

0:20:47.680 --> 0:20:51.119
<v Speaker 1>had no conscious access to their decision making process. Now

0:20:51.160 --> 0:20:53.240
<v Speaker 1>I'll give you another piece of data which is sort

0:20:53.240 --> 0:20:57.199
<v Speaker 1>of mind blowing and demonstrates how deeply and unconsciously we

0:20:57.280 --> 0:21:01.520
<v Speaker 1>pick up on signals. First, consider this strange fact that

0:21:01.960 --> 0:21:06.120
<v Speaker 1>human females are unique among primates and that they participate

0:21:06.200 --> 0:21:10.760
<v Speaker 1>in mating year round. They don't broadcast any special signal

0:21:11.160 --> 0:21:14.119
<v Speaker 1>to publicize when they are fertile, and this is totally

0:21:14.160 --> 0:21:18.720
<v Speaker 1>different from other primates who have these periodic cycles of

0:21:18.800 --> 0:21:22.840
<v Speaker 1>being in heat. All other female mammals give off clear

0:21:22.960 --> 0:21:26.080
<v Speaker 1>signals when they're in heat. For example, in female babboons,

0:21:26.160 --> 0:21:29.920
<v Speaker 1>the rear end turns bright pink, which is an unmistakable

0:21:29.920 --> 0:21:34.199
<v Speaker 1>and irresistible invitation for a male baboon. Human females just

0:21:34.240 --> 0:21:37.359
<v Speaker 1>don't give off signals like this, or don't they. It

0:21:37.440 --> 0:21:40.720
<v Speaker 1>turns out that a woman is considered to be most

0:21:40.800 --> 0:21:44.840
<v Speaker 1>beautiful just at the peak of fertility in her menstrual cycle,

0:21:45.080 --> 0:21:48.560
<v Speaker 1>about ten days before mensi's. This is true whether she

0:21:48.680 --> 0:21:51.560
<v Speaker 1>is judged by men or by women, and it's not

0:21:51.640 --> 0:21:54.360
<v Speaker 1>a matter of how she acts. It's perceived this way,

0:21:54.440 --> 0:21:57.399
<v Speaker 1>even if people are just looking at her photograph, so

0:21:57.560 --> 0:22:02.600
<v Speaker 1>her good looks broadcast her level of fertility. Her signals

0:22:02.680 --> 0:22:05.840
<v Speaker 1>are more subtle than the baboons, but they only need

0:22:05.880 --> 0:22:10.359
<v Speaker 1>to be clear enough to tickle the dedicated, unconscious machinery

0:22:10.760 --> 0:22:13.560
<v Speaker 1>of the males in the room. If the signals can

0:22:13.640 --> 0:22:17.240
<v Speaker 1>reach those circuits, the mission is accomplished. The signals also

0:22:17.320 --> 0:22:21.320
<v Speaker 1>reach the circuitry of other females. Women are quite sensitive

0:22:21.359 --> 0:22:25.280
<v Speaker 1>to the effect of other women's cycles, perhaps because this

0:22:25.400 --> 0:22:29.360
<v Speaker 1>lets them assess their competitors when competing for mates. It's

0:22:29.400 --> 0:22:32.480
<v Speaker 1>not yet clear what the tip offs for fertility are.

0:22:32.960 --> 0:22:35.919
<v Speaker 1>They may include some qualities of the skin, or the

0:22:35.960 --> 0:22:39.920
<v Speaker 1>fact that a women's ears and breasts become more symmetrical

0:22:40.440 --> 0:22:43.960
<v Speaker 1>in the days leading up to ovulation. Whatever the constellation

0:22:44.080 --> 0:22:47.760
<v Speaker 1>of clues are, our brains are engineered to latch on.

0:22:48.040 --> 0:22:51.119
<v Speaker 1>Even while the conscious mind has no axis. Your mind

0:22:51.240 --> 0:22:56.879
<v Speaker 1>simply senses the almighty and inexplicable tug of desire. The

0:22:57.000 --> 0:23:00.880
<v Speaker 1>effects of ovulation and beauty are not not just assessed

0:23:00.960 --> 0:23:04.680
<v Speaker 1>in the laboratory. They are measurable in real life situations.

0:23:05.200 --> 0:23:07.280
<v Speaker 1>Some years ago I'm not making this up. There was

0:23:07.280 --> 0:23:11.840
<v Speaker 1>a study by scientists who counted up the tips made

0:23:11.840 --> 0:23:16.200
<v Speaker 1>by exotic dancers at the local strip clubs and correlated

0:23:16.240 --> 0:23:20.119
<v Speaker 1>this with the menstrual cycles of the dancers. And what

0:23:20.200 --> 0:23:24.639
<v Speaker 1>they found is that during peak fertility, dancers raked in

0:23:24.720 --> 0:23:27.560
<v Speaker 1>an average of sixty eight dollars an hour. When they

0:23:27.600 --> 0:23:31.359
<v Speaker 1>were menstruating, they earned only about thirty five dollars, and

0:23:31.640 --> 0:23:35.360
<v Speaker 1>in between they averaged about fifty two dollars. So although

0:23:35.359 --> 0:23:40.240
<v Speaker 1>these women were presumably acting flirtatiously throughout the month, their

0:23:40.440 --> 0:23:45.840
<v Speaker 1>change in fertility was broadcast to hopeful customers by changes

0:23:45.960 --> 0:23:50.760
<v Speaker 1>in body odor, skin, wasted, hip ratio, and possibly their

0:23:50.760 --> 0:23:55.560
<v Speaker 1>own confidence as well. Now, interestingly, dancers on birth control

0:23:55.640 --> 0:23:59.160
<v Speaker 1>didn't show any clear peak in performance and earned only

0:23:59.240 --> 0:24:02.560
<v Speaker 1>a monthly average of thirty seven dollars per hour versus

0:24:02.560 --> 0:24:05.760
<v Speaker 1>an average of fifty three dollars per hour for dancers

0:24:05.800 --> 0:24:10.479
<v Speaker 1>not on birth control. Presumably they earned less because the

0:24:10.560 --> 0:24:16.760
<v Speaker 1>pill leads to hormonal changes and cues indicative of early pregnancy,

0:24:17.160 --> 0:24:20.800
<v Speaker 1>and so the dancers were presumably slightly less magnetic to

0:24:20.920 --> 0:24:24.520
<v Speaker 1>the customers in the club. All this research drives home

0:24:24.600 --> 0:24:28.920
<v Speaker 1>the point that the pulls we feel are built deeply

0:24:29.040 --> 0:24:32.080
<v Speaker 1>into our neural machinery. We don't have conscious access to

0:24:32.119 --> 0:24:36.760
<v Speaker 1>the programs and can only surface these issues with careful studies.

0:24:37.359 --> 0:24:39.880
<v Speaker 1>And the part that's always amazed me is how subtle

0:24:39.880 --> 0:24:42.359
<v Speaker 1>these signals are. The brain is picking up on these

0:24:42.480 --> 0:24:46.959
<v Speaker 1>really small signals. So think again about that really attractive

0:24:47.000 --> 0:24:51.119
<v Speaker 1>person you know, and imagine that you measured the distance

0:24:51.359 --> 0:24:54.320
<v Speaker 1>between his or her eyes and nose length and lip

0:24:54.440 --> 0:24:57.760
<v Speaker 1>thickness and chin shape and so on. If you compare

0:24:57.840 --> 0:25:01.560
<v Speaker 1>those measurements to those of a a not so attractive

0:25:01.600 --> 0:25:04.480
<v Speaker 1>person you know, you would find that the differences are

0:25:04.520 --> 0:25:08.480
<v Speaker 1>really subtle, like a centimeter here, a centimeter there, But

0:25:08.560 --> 0:25:12.000
<v Speaker 1>it makes a big difference in your final judgment. So

0:25:12.119 --> 0:25:15.040
<v Speaker 1>imagine you took these two people, one attractive, one not

0:25:15.119 --> 0:25:19.320
<v Speaker 1>so attractive, and showed them to a space alien. That

0:25:19.440 --> 0:25:22.919
<v Speaker 1>two humans would look indistinguishable to the alien in the

0:25:22.960 --> 0:25:26.520
<v Speaker 1>same way that attractive and unattractive space aliens would be

0:25:26.520 --> 0:25:29.760
<v Speaker 1>difficult for you to tell apart, But the small differences

0:25:29.800 --> 0:25:32.960
<v Speaker 1>within your own species, these have a great deal of

0:25:33.000 --> 0:25:36.480
<v Speaker 1>effect in your brain. As an example of tiny differences,

0:25:36.600 --> 0:25:40.000
<v Speaker 1>just consider that some people might find the site of

0:25:40.040 --> 0:25:44.399
<v Speaker 1>a woman in short shorts intoxicating, and a male in

0:25:44.440 --> 0:25:48.280
<v Speaker 1>short shorts less attractive. Even though the two scenes are

0:25:48.359 --> 0:25:53.159
<v Speaker 1>hardly different. From a geometrical perspective, male and female legs

0:25:53.480 --> 0:25:55.800
<v Speaker 1>just don't look that different. Both are built on the

0:25:55.880 --> 0:25:59.639
<v Speaker 1>same architecture. They're both hinged limbs made of femurs and

0:25:59.720 --> 0:26:02.919
<v Speaker 1>knee caps and skin and so on, and the differences

0:26:02.960 --> 0:26:06.640
<v Speaker 1>between them are swamped by the similarities. I mean, if

0:26:06.640 --> 0:26:10.080
<v Speaker 1>I showed you a female hawk and a male hawk,

0:26:10.160 --> 0:26:13.080
<v Speaker 1>you really couldn't tell the difference between them. But other

0:26:13.200 --> 0:26:18.120
<v Speaker 1>hawks are exquisitely sensitive to these differences. With all these animals,

0:26:18.119 --> 0:26:20.880
<v Speaker 1>they're so similar that you really have to train up

0:26:21.000 --> 0:26:24.080
<v Speaker 1>to see the differences. And this is the point I

0:26:24.119 --> 0:26:28.280
<v Speaker 1>want to make. We are so exquisitely tuned to the

0:26:28.320 --> 0:26:31.720
<v Speaker 1>differences in humans, and we don't even realize it. Our

0:26:31.760 --> 0:26:36.480
<v Speaker 1>ability to make subtle distinctions is exquisitely fine grained. Our

0:26:36.520 --> 0:26:40.600
<v Speaker 1>brains are engineered to accomplish the clear cut task of

0:26:40.680 --> 0:26:44.359
<v Speaker 1>mate selection. In pursuit, all of the computation lives under

0:26:44.359 --> 0:26:48.240
<v Speaker 1>the surface of conscious awareness. We get to simply enjoy

0:26:48.359 --> 0:26:51.440
<v Speaker 1>the lovely feelings that bubble up. And I'll give you

0:26:51.520 --> 0:26:56.040
<v Speaker 1>another example of this attractive misjudgments are not only constructed

0:26:56.040 --> 0:26:59.920
<v Speaker 1>by your visual system, but they're influenced as well by smell.

0:27:00.560 --> 0:27:05.000
<v Speaker 1>So odor carries a great deal of information, including information

0:27:05.040 --> 0:27:11.720
<v Speaker 1>about a potential mate's age, sex, fertility, identity, emotions, health.

0:27:12.359 --> 0:27:17.280
<v Speaker 1>The information is carried by a flotilla of drifting molecules,

0:27:17.800 --> 0:27:22.560
<v Speaker 1>so in many animal species, these compounds drive behavior almost entirely.

0:27:23.200 --> 0:27:27.600
<v Speaker 1>In humans, the information often flies beneath the radar of

0:27:27.640 --> 0:27:31.480
<v Speaker 1>conscious perception, but they nonetheless influence our behavior a bit.

0:27:31.920 --> 0:27:35.679
<v Speaker 1>So imagine we give a female mouse a selection of

0:27:35.760 --> 0:27:40.800
<v Speaker 1>males to mate with. Her choice is not random. Instead,

0:27:40.840 --> 0:27:45.320
<v Speaker 1>it's based on the interplay between her genetics and the

0:27:45.400 --> 0:27:48.680
<v Speaker 1>genetics of her suitors. But how in the world would

0:27:48.680 --> 0:27:52.440
<v Speaker 1>she have access to that kind of hidden information about genetics.

0:27:52.920 --> 0:27:56.000
<v Speaker 1>While all mammals have a set of genes known as

0:27:56.080 --> 0:28:01.880
<v Speaker 1>the major histocompatibility complex or MHI, these genes are key

0:28:02.000 --> 0:28:05.760
<v Speaker 1>players in our immune systems, So given a choice, the

0:28:05.760 --> 0:28:11.960
<v Speaker 1>mouse will choose a mate with dissimilar MHC genes. Because

0:28:12.040 --> 0:28:14.960
<v Speaker 1>mixing up the gene pool is almost always a good

0:28:15.000 --> 0:28:18.960
<v Speaker 1>idea in biology. It keeps genetic defects to a minimum

0:28:19.240 --> 0:28:22.520
<v Speaker 1>and leads to a healthy interplay of genes known as

0:28:22.640 --> 0:28:28.199
<v Speaker 1>hybrid vigor, So finding genetically distant partners is useful, But

0:28:28.640 --> 0:28:31.640
<v Speaker 1>how do mice who are largely blind pull this off

0:28:32.040 --> 0:28:40.640
<v Speaker 1>with their noses? An oregon inside their noses picks up

0:28:40.640 --> 0:28:44.360
<v Speaker 1>on pheromones, which are floating chemicals that carry signals through

0:28:44.400 --> 0:28:48.360
<v Speaker 1>the air, signals about things like alarm or food trails,

0:28:48.480 --> 0:28:52.920
<v Speaker 1>or sexual readiness, or in this case, genetic similarity or difference.

0:28:53.480 --> 0:28:57.240
<v Speaker 1>Now do human sense and respond to pheromones the way

0:28:57.320 --> 0:28:59.720
<v Speaker 1>mice do? This is an area of debate in the

0:28:59.720 --> 0:29:03.440
<v Speaker 1>signe literature, but recent work has found receptors in the

0:29:03.480 --> 0:29:07.360
<v Speaker 1>lining of the human nose just like those used in

0:29:07.720 --> 0:29:11.680
<v Speaker 1>pheromonal signaling and mice. It's not clear if our receptors

0:29:11.800 --> 0:29:16.520
<v Speaker 1>are functional, but the behavioral research is suggestive. So in

0:29:16.560 --> 0:29:20.240
<v Speaker 1>a study at the University of bern researchers measured and

0:29:20.360 --> 0:29:25.440
<v Speaker 1>quantified the MHCs of a group of male and female students.

0:29:25.840 --> 0:29:28.920
<v Speaker 1>The males were then given cotton T shirts to wear

0:29:29.400 --> 0:29:32.600
<v Speaker 1>so that their daily sweat soaked into the fabric, and

0:29:32.640 --> 0:29:37.080
<v Speaker 1>then later back in the laboratory, females plunged their noses

0:29:37.160 --> 0:29:40.440
<v Speaker 1>into the armpits of these T shirts and picked which

0:29:40.520 --> 0:29:46.080
<v Speaker 1>body odor they preferred. The result was exactly like the

0:29:46.120 --> 0:29:54.720
<v Speaker 1>mice they preferred the males with more dissimilar MHCs. So

0:29:54.760 --> 0:29:59.920
<v Speaker 1>apparently our noses also influenced our choices, again flying the

0:30:00.120 --> 0:30:03.880
<v Speaker 1>reproduction mission under the radar of consciousness. And I'll just

0:30:04.000 --> 0:30:08.720
<v Speaker 1>note that beyond reproduction, human pheromones may also carry invisible

0:30:08.760 --> 0:30:14.640
<v Speaker 1>signals in other situations. For example, newborns preferentially move toward

0:30:15.160 --> 0:30:18.320
<v Speaker 1>pads that have been rubbed on their mother's breast rather

0:30:18.440 --> 0:30:23.240
<v Speaker 1>than clean pads, presumably based on pheromonal cues, and the

0:30:23.320 --> 0:30:27.720
<v Speaker 1>length of women's menstrual cycles may change after they sniff

0:30:27.840 --> 0:30:32.160
<v Speaker 1>the armpit sweat of another woman. So again, although pheromones

0:30:32.280 --> 0:30:36.200
<v Speaker 1>clearly carry signals, the degree to which they influence human

0:30:36.240 --> 0:30:40.760
<v Speaker 1>behavior is unknown. Our cognition is so multilayered that these

0:30:40.840 --> 0:30:45.680
<v Speaker 1>cues have been reduced to bit players. Whatever other roles

0:30:45.720 --> 0:30:49.560
<v Speaker 1>they have, pheromones serve to remind us that the brain

0:30:49.640 --> 0:30:55.560
<v Speaker 1>is continuously evolving. These molecules unmask the presence of outdated

0:30:55.640 --> 0:30:58.440
<v Speaker 1>legacy software. So all this led me to run some

0:30:58.520 --> 0:31:01.959
<v Speaker 1>studies on attractiveness in my laboratory, And this puts us

0:31:01.960 --> 0:31:04.280
<v Speaker 1>back to the question that I posed at the beginning,

0:31:04.320 --> 0:31:06.960
<v Speaker 1>which is what is going on when you first look

0:31:06.960 --> 0:31:10.800
<v Speaker 1>at a person and make some rapid judgment about their attractiveness.

0:31:11.120 --> 0:31:15.600
<v Speaker 1>Human faces carry an enormous amount of information about emotional

0:31:15.640 --> 0:31:19.120
<v Speaker 1>state and physical well being, and we are programmed to

0:31:19.360 --> 0:31:22.680
<v Speaker 1>read faces like books. And in this light, it is

0:31:22.720 --> 0:31:27.600
<v Speaker 1>not surprising that we rapidly form initial impressions about someone

0:31:27.960 --> 0:31:31.920
<v Speaker 1>after a brief exposure. And one trait we extract unbelievably

0:31:32.000 --> 0:31:37.880
<v Speaker 1>quickly is facial attractiveness. And you've probably noticed that sometimes

0:31:37.920 --> 0:31:40.880
<v Speaker 1>a person passes by you for just a moment and

0:31:40.920 --> 0:31:44.400
<v Speaker 1>your brain screams out that that person is highly attractive,

0:31:44.800 --> 0:31:46.600
<v Speaker 1>and then you turn and you take a closer look

0:31:46.640 --> 0:31:50.240
<v Speaker 1>and realize that your first judgment was actually wrong, and

0:31:50.280 --> 0:31:54.479
<v Speaker 1>your attractiveness rating goes way down. So I started asking

0:31:54.480 --> 0:31:56.800
<v Speaker 1>a number of people about this years ago and found

0:31:56.840 --> 0:31:59.760
<v Speaker 1>that this was a common experience if you pay close

0:31:59.800 --> 0:32:02.600
<v Speaker 1>to tension to your perception. So I started to wonder,

0:32:02.800 --> 0:32:07.320
<v Speaker 1>is a briefly glimpsed person always more attractive, and if so,

0:32:08.040 --> 0:32:10.040
<v Speaker 1>what is that about from an neural point of view,

0:32:10.280 --> 0:32:15.640
<v Speaker 1>Because there's obviously less visual information that's harvested from a

0:32:15.800 --> 0:32:19.640
<v Speaker 1>brief glimpse. So my student Don Vaughan, and I started

0:32:19.680 --> 0:32:23.560
<v Speaker 1>researching this because here's the question. It is not at

0:32:23.560 --> 0:32:27.880
<v Speaker 1>all clear why the brain would consistently AerR in one

0:32:27.960 --> 0:32:31.680
<v Speaker 1>direction in its attractiveness judgments. In other words, why would

0:32:31.720 --> 0:32:35.640
<v Speaker 1>a briefly glimpsed face tend to be interpreted as more

0:32:35.680 --> 0:32:39.760
<v Speaker 1>attractive instead of less. After all, in most tasks of

0:32:39.800 --> 0:32:46.240
<v Speaker 1>information processing, less information translates to less confidence and less value.

0:32:46.360 --> 0:32:49.200
<v Speaker 1>You wouldn't pay more for a car that you knew

0:32:49.280 --> 0:32:52.760
<v Speaker 1>less about. So we had fifty nine people participate in

0:32:52.760 --> 0:32:55.880
<v Speaker 1>the study, half female, half male. Average age was twenty

0:32:55.880 --> 0:32:59.520
<v Speaker 1>eight years old, and everyone rated photographs of either seventy

0:32:59.560 --> 0:33:02.880
<v Speaker 1>five female seventy five mails. So you look at the

0:33:02.880 --> 0:33:06.240
<v Speaker 1>computer screen and a photograph is flashed, and all you

0:33:06.280 --> 0:33:08.760
<v Speaker 1>need to do is rate the photograph on a scale

0:33:08.800 --> 0:33:12.040
<v Speaker 1>from one which is least attractive to ten most attractive,

0:33:12.280 --> 0:33:14.040
<v Speaker 1>and then you see the next one in the next one,

0:33:14.080 --> 0:33:16.480
<v Speaker 1>and you do this through all the photographs in random order.

0:33:16.920 --> 0:33:20.000
<v Speaker 1>But here's the thing. First, you do this with twenty

0:33:20.040 --> 0:33:23.120
<v Speaker 1>five photographs to just acquaint you with the rating scale

0:33:23.160 --> 0:33:26.040
<v Speaker 1>and for us to gather your average ratings. You get

0:33:26.040 --> 0:33:27.480
<v Speaker 1>to look at each photo for as long as you

0:33:27.520 --> 0:33:30.600
<v Speaker 1>want no time pressure. Then in the second block, we

0:33:30.720 --> 0:33:34.360
<v Speaker 1>use twenty five new photographs, and here you keep your

0:33:34.400 --> 0:33:36.600
<v Speaker 1>eyes fixed on a red dot in the center of

0:33:36.640 --> 0:33:40.400
<v Speaker 1>the screen, and after a random delay, a photograph gets

0:33:40.480 --> 0:33:42.400
<v Speaker 1>flashed in the center of the screen for about a

0:33:42.480 --> 0:33:45.720
<v Speaker 1>quarter of a second. Bang, real fast flash, and you

0:33:45.800 --> 0:33:49.480
<v Speaker 1>register your attractiveness judgment. Then in the next block, you

0:33:49.560 --> 0:33:52.920
<v Speaker 1>rate the same photographs, again presented in a random order,

0:33:53.320 --> 0:33:56.200
<v Speaker 1>but this time with no time constraints. You can look

0:33:56.240 --> 0:33:58.720
<v Speaker 1>for as long as you want. Then to recreate the

0:33:58.760 --> 0:34:01.440
<v Speaker 1>effective catching a glimpse from the corner of your eye,

0:34:01.640 --> 0:34:04.880
<v Speaker 1>we also ran a block where we presented photographs in

0:34:04.920 --> 0:34:08.400
<v Speaker 1>your peripheral vision. So we use twenty five new photographs

0:34:08.400 --> 0:34:10.440
<v Speaker 1>and it's the same as before, where you're keeping your

0:34:10.440 --> 0:34:12.480
<v Speaker 1>eye on the red dot in the middle, but now

0:34:12.520 --> 0:34:15.759
<v Speaker 1>we flash the photograph in a random position somewhere on

0:34:15.800 --> 0:34:18.600
<v Speaker 1>the screen. Bang. What was that? By the time your

0:34:18.600 --> 0:34:21.879
<v Speaker 1>eyes get there, it's gone, and then you register your

0:34:22.080 --> 0:34:25.439
<v Speaker 1>attractiveness rating. Then in the final block, you rate those

0:34:25.480 --> 0:34:29.560
<v Speaker 1>same twenty five photographs represented in the center in a

0:34:29.640 --> 0:34:33.120
<v Speaker 1>random order with no time constraints. Okay, so what was

0:34:33.160 --> 0:34:39.000
<v Speaker 1>the result? Briefly glimpsed photographs are rated as more beautiful

0:34:39.320 --> 0:34:43.880
<v Speaker 1>everyone this, male and female rated attractiveness higher when they

0:34:43.880 --> 0:34:46.080
<v Speaker 1>were just catching a glimpse, whether that was in the

0:34:46.080 --> 0:34:49.600
<v Speaker 1>middle or on the periphery, so we summarized this result

0:34:49.680 --> 0:34:53.520
<v Speaker 1>as the glimpse effect. For example, when a male saw

0:34:53.560 --> 0:34:56.000
<v Speaker 1>a flash of a female in the periphery, he rated

0:34:56.000 --> 0:34:59.239
<v Speaker 1>her on average almost a point higher than when he

0:34:59.280 --> 0:35:01.440
<v Speaker 1>looked for as long as he wanted. And as a

0:35:01.480 --> 0:35:04.800
<v Speaker 1>side note, although both females and males show the glimpse

0:35:04.840 --> 0:35:08.759
<v Speaker 1>effect when judging photographs of either gender, the effect is

0:35:08.920 --> 0:35:13.000
<v Speaker 1>most pronounced in males rating female photographs. And by the way,

0:35:13.000 --> 0:35:15.319
<v Speaker 1>this is true no matter what your initial rating was,

0:35:15.360 --> 0:35:19.840
<v Speaker 1>it goes down when you have a longer chance to look. So.

0:35:20.000 --> 0:35:22.520
<v Speaker 1>In other words, if you catch a glimpse of someone

0:35:22.600 --> 0:35:27.000
<v Speaker 1>rounding the corner or driving past quickly, your perceptual system

0:35:27.000 --> 0:35:30.440
<v Speaker 1>will tell you that they are more attractive than you

0:35:30.480 --> 0:35:33.320
<v Speaker 1>would otherwise judge them to be. Men show this effect

0:35:33.360 --> 0:35:38.320
<v Speaker 1>more strongly, presumably because men are more visual in assessing attraction.

0:35:38.800 --> 0:35:41.160
<v Speaker 1>When you catch a brief glimpse of someone, you believe

0:35:41.200 --> 0:35:43.680
<v Speaker 1>you have just seen something amazing. Then when you go

0:35:43.719 --> 0:35:46.440
<v Speaker 1>around the corner you find you were mistaken. So the

0:35:46.480 --> 0:35:49.800
<v Speaker 1>glimpse effect is clear and measurable. But why does it happen.

0:35:50.239 --> 0:35:53.279
<v Speaker 1>Why should the visual system, given just a bit of

0:35:53.320 --> 0:35:56.839
<v Speaker 1>fleeting information, always err on the side of believing that

0:35:56.840 --> 0:36:00.840
<v Speaker 1>someone is more attractive in the absence of clear data,

0:36:00.880 --> 0:36:04.160
<v Speaker 1>Why wouldn't your visual system simply strike for the middle

0:36:04.200 --> 0:36:07.440
<v Speaker 1>and judge the person to be average or even below average.

0:36:07.680 --> 0:36:09.879
<v Speaker 1>So one way you explain these results is to think

0:36:09.880 --> 0:36:15.040
<v Speaker 1>about what's called spatial frequencies. Something with high spatial frequency

0:36:15.120 --> 0:36:19.040
<v Speaker 1>is changing a lot across space, while low spatial frequency

0:36:19.080 --> 0:36:22.040
<v Speaker 1>doesn't change much. So think about it like if you

0:36:22.120 --> 0:36:25.400
<v Speaker 1>had a lot of wrinkles, All those sharp lines provide

0:36:25.400 --> 0:36:28.319
<v Speaker 1>a lot of high spatial frequency, but if your face

0:36:28.400 --> 0:36:33.319
<v Speaker 1>is totally smooth, that's low spatial frequency. Anyhow, it's long

0:36:33.400 --> 0:36:37.000
<v Speaker 1>been known that faces that come across as smoother are

0:36:37.120 --> 0:36:40.600
<v Speaker 1>rated as more attractive. We don't really like the high

0:36:40.640 --> 0:36:43.600
<v Speaker 1>spatial frequencies, the sharp lines and so on, and the

0:36:43.680 --> 0:36:48.600
<v Speaker 1>visual system actually takes more time to process the fine lines,

0:36:49.000 --> 0:36:52.759
<v Speaker 1>while the low frequency stuff is processed very rapidly. So

0:36:52.800 --> 0:36:56.120
<v Speaker 1>when we flash of photograph really quickly, your visual system

0:36:56.160 --> 0:36:59.880
<v Speaker 1>doesn't have access to the fine features that decrease ratings

0:36:59.880 --> 0:37:04.400
<v Speaker 1>like skin blemishes, because your visual system is just processing

0:37:04.760 --> 0:37:07.680
<v Speaker 1>the general shape of the smooth stuff going on. And

0:37:07.719 --> 0:37:11.719
<v Speaker 1>this explains something about the way that portrait photography used

0:37:11.760 --> 0:37:15.440
<v Speaker 1>to be done, especially in the earlier part of last century.

0:37:16.080 --> 0:37:21.400
<v Speaker 1>How did photographers make people more attractive by putting vaciline

0:37:21.560 --> 0:37:26.000
<v Speaker 1>on their camera lenses that created a soft focus effect

0:37:26.000 --> 0:37:29.799
<v Speaker 1>that blurred the image to create what people regarded as

0:37:29.840 --> 0:37:32.680
<v Speaker 1>a romantic look. But of course what they were doing

0:37:32.800 --> 0:37:36.719
<v Speaker 1>was taking away information, taking away the sharp lines, in

0:37:36.760 --> 0:37:40.800
<v Speaker 1>particular the high spatial frequencies, and just leaving the soft,

0:37:41.000 --> 0:37:44.919
<v Speaker 1>dreamy stuff, which we find more attractive. Now we don't

0:37:45.000 --> 0:37:49.920
<v Speaker 1>use vacline on lenses anymore, or don't we. That's exactly

0:37:49.960 --> 0:37:53.720
<v Speaker 1>the trick with these Instagram filters. What these filters generally

0:37:53.800 --> 0:37:57.879
<v Speaker 1>do is simply take away the high spatial frequencies. It's

0:37:58.120 --> 0:38:02.080
<v Speaker 1>like the vaciline on the lens. No more little imperfections.

0:38:02.120 --> 0:38:06.120
<v Speaker 1>Now you just have perfectly smooth skin for completeness. Soil

0:38:06.200 --> 0:38:09.160
<v Speaker 1>also mention that these filters often do other things as well,

0:38:09.200 --> 0:38:13.680
<v Speaker 1>like make lips bigger, because fertile women have full lips,

0:38:13.760 --> 0:38:16.880
<v Speaker 1>but they don't when they're kids. Or elderly. Okay, so

0:38:17.040 --> 0:38:20.080
<v Speaker 1>back to the big picture of the glimpse effect. We

0:38:20.200 --> 0:38:23.040
<v Speaker 1>know that in a brief presentation you see less of

0:38:23.080 --> 0:38:27.000
<v Speaker 1>the fine lines, and so maybe that's the explanation. But

0:38:27.360 --> 0:38:30.839
<v Speaker 1>we also suggested there may be something to understand that's

0:38:30.880 --> 0:38:33.960
<v Speaker 1>even a little bit deeper. So we proposed a second,

0:38:34.239 --> 0:38:39.200
<v Speaker 1>non exclusive possibility, and this hypothesis pivots on the demands

0:38:39.239 --> 0:38:42.760
<v Speaker 1>of reproduction. If you believe that a briefly glimpsed person

0:38:43.000 --> 0:38:46.239
<v Speaker 1>is beautiful, and let's say they actually weren't, it only

0:38:46.320 --> 0:38:49.760
<v Speaker 1>requires a double take on your part to correct the mistake.

0:38:49.920 --> 0:38:52.680
<v Speaker 1>It's not much of a cost. But on the other hand,

0:38:52.760 --> 0:38:56.920
<v Speaker 1>if you mistake an attractive mate for an unattractive one,

0:38:57.000 --> 0:39:01.080
<v Speaker 1>you can say cyonara to your potentially rosy the genetic future.

0:39:01.760 --> 0:39:05.480
<v Speaker 1>So it behooves your perceptual system to serve up a

0:39:05.680 --> 0:39:10.000
<v Speaker 1>story that a briefly glimpsed person is attractive. So the

0:39:10.040 --> 0:39:13.839
<v Speaker 1>idea is that the glimpse effect results from the combination

0:39:14.400 --> 0:39:18.759
<v Speaker 1>of your sensory information with the utility of that information

0:39:19.320 --> 0:39:22.440
<v Speaker 1>for the cognizanty. This is known as a Bayesian risk model.

0:39:22.880 --> 0:39:25.799
<v Speaker 1>As an example of this sort of thing, imagine looking

0:39:25.880 --> 0:39:29.160
<v Speaker 1>at a square of a certain color that's against squares

0:39:29.160 --> 0:39:34.640
<v Speaker 1>of other colors, you might conclude that the square has

0:39:34.680 --> 0:39:37.560
<v Speaker 1>a certain color, or you could equally conclude that the

0:39:37.600 --> 0:39:41.399
<v Speaker 1>square is transparent and its color is being determined by

0:39:41.440 --> 0:39:45.840
<v Speaker 1>the squares underneath it. So if you're asked, is this

0:39:45.960 --> 0:39:49.960
<v Speaker 1>transparent or not, there's no single right answer. But it

0:39:50.000 --> 0:39:52.560
<v Speaker 1>turns out what's found in the laboratory is that if

0:39:52.600 --> 0:39:56.080
<v Speaker 1>you are thirsty, you are more likely to perceive it

0:39:56.120 --> 0:40:01.319
<v Speaker 1>as transparent. Your visual system has a bi towards determining

0:40:01.400 --> 0:40:06.000
<v Speaker 1>transparent things like water when you're thirsty. If you're not thirsty,

0:40:06.520 --> 0:40:10.000
<v Speaker 1>you're not seeing water everywhere. Why it's because thirsty people

0:40:10.000 --> 0:40:13.920
<v Speaker 1>have an increased utility for water. Finding water becomes more

0:40:14.080 --> 0:40:17.320
<v Speaker 1>valuable to your brain, and if you accidentally see water

0:40:17.360 --> 0:40:20.000
<v Speaker 1>when it's not there, what's called a false positive that

0:40:20.000 --> 0:40:23.399
<v Speaker 1>doesn't matter so much. In other words, it behooves a

0:40:23.520 --> 0:40:27.160
<v Speaker 1>thirsty brain to have a bias towards perceiving things that

0:40:27.200 --> 0:40:29.919
<v Speaker 1>are water like. And this is the same idea here

0:40:29.960 --> 0:40:32.919
<v Speaker 1>with the glimpse effect. Your brain doesn't want to miss

0:40:32.960 --> 0:40:37.080
<v Speaker 1>its genetic future, so it has a bias towards seeing

0:40:37.120 --> 0:40:42.719
<v Speaker 1>things as attractive. If you're interested in this topic. There's

0:40:42.719 --> 0:40:46.200
<v Speaker 1>a field known as Bayesian decision making, and the idea

0:40:46.320 --> 0:40:50.719
<v Speaker 1>is that your brain is not seeing maximum likelihood, as in,

0:40:51.040 --> 0:40:54.400
<v Speaker 1>how likely is that driver next to me super attractive? Instead,

0:40:54.480 --> 0:40:59.560
<v Speaker 1>it's aimed at maximizing expected utility. How useful is it

0:41:00.000 --> 0:41:02.520
<v Speaker 1>for me to see things in this way? So in

0:41:02.560 --> 0:41:07.759
<v Speaker 1>this framework, an ideal observer chooses the interpretation that's the

0:41:07.760 --> 0:41:11.759
<v Speaker 1>most important rather than the most likely. So what we

0:41:11.840 --> 0:41:14.840
<v Speaker 1>get is an increase in perceived attractiveness when you have

0:41:15.040 --> 0:41:18.279
<v Speaker 1>limited information. And again, this is because the cost of

0:41:18.320 --> 0:41:21.200
<v Speaker 1>an overestimate is cheap you just look a second time,

0:41:21.440 --> 0:41:25.440
<v Speaker 1>but the cost of failing to identify an attractive potential

0:41:25.480 --> 0:41:28.400
<v Speaker 1>mate is high. So what I told you about vacoline

0:41:28.400 --> 0:41:32.000
<v Speaker 1>and Instagram filters is explainable just by getting rid of

0:41:32.000 --> 0:41:35.759
<v Speaker 1>the high frequencies the sharp lines. But I think more generally,

0:41:36.280 --> 0:41:40.319
<v Speaker 1>this issue of limited information is an important part of

0:41:40.320 --> 0:41:44.120
<v Speaker 1>what's in play here because during the pandemic I talked

0:41:44.120 --> 0:41:47.160
<v Speaker 1>with a lot of colleagues who work at the Stanford Hospitals,

0:41:47.160 --> 0:41:50.719
<v Speaker 1>for example, and it turns out that the world ran

0:41:50.800 --> 0:41:54.760
<v Speaker 1>a very interesting natural experiment from twenty twenty to twenty

0:41:54.760 --> 0:41:59.719
<v Speaker 1>two in the form of wearing masks. The masks don't

0:41:59.800 --> 0:42:03.239
<v Speaker 1>changeange anything about the high and low frequency information, but

0:42:03.320 --> 0:42:06.080
<v Speaker 1>they take away all the information about one half of

0:42:06.120 --> 0:42:08.600
<v Speaker 1>the face. And I heard from a lot of people,

0:42:08.640 --> 0:42:12.800
<v Speaker 1>both male and female, that they sometimes met coworkers whose

0:42:12.840 --> 0:42:15.960
<v Speaker 1>face they had never seen completely and stead they only

0:42:15.960 --> 0:42:19.279
<v Speaker 1>ever saw the top half, and they felt that the

0:42:19.280 --> 0:42:22.960
<v Speaker 1>person was really attractive. And at the end of the pandemic,

0:42:23.040 --> 0:42:25.839
<v Speaker 1>when the masks finally came off and they finally saw

0:42:25.920 --> 0:42:30.120
<v Speaker 1>the whole face, they were often a little disappointed. Now,

0:42:30.200 --> 0:42:33.239
<v Speaker 1>was this because everyone had ugly mouths? No, it was

0:42:33.239 --> 0:42:36.960
<v Speaker 1>because the brain of the viewer made assumptions about the

0:42:37.040 --> 0:42:40.160
<v Speaker 1>half of the face that was not seen. I've informally

0:42:40.239 --> 0:42:43.200
<v Speaker 1>quizzed dozens of people about this, and it wasn't that

0:42:43.239 --> 0:42:47.759
<v Speaker 1>they assumed something in particular, something they could articulate about

0:42:47.760 --> 0:42:50.080
<v Speaker 1>the other person's mouth. It's not like they were looking

0:42:50.120 --> 0:42:53.440
<v Speaker 1>for a specific shape of the mouth. It's just that

0:42:53.480 --> 0:42:57.439
<v Speaker 1>they assumed that it would be better. Again, when there's

0:42:57.520 --> 0:43:00.600
<v Speaker 1>a lack of information, the brain it seems to make

0:43:00.640 --> 0:43:04.160
<v Speaker 1>a judgment that's biased in the positive direction. It just

0:43:04.520 --> 0:43:08.759
<v Speaker 1>assumes there's something better hiding behind the curtain. It's all

0:43:08.800 --> 0:43:13.600
<v Speaker 1>about anticipation, and in an upcoming episode about prediction, I'm

0:43:13.600 --> 0:43:17.160
<v Speaker 1>going to talk about why the most attractive person on

0:43:17.200 --> 0:43:19.960
<v Speaker 1>a nude beach is the one who still has their

0:43:20.040 --> 0:43:24.120
<v Speaker 1>clothes on. If you've ever been on a clothing optional beach,

0:43:24.160 --> 0:43:27.560
<v Speaker 1>you'll know that everyone, men and women end up gazing

0:43:27.840 --> 0:43:30.840
<v Speaker 1>towards the new person, the man or woman who's just arrived,

0:43:31.280 --> 0:43:35.279
<v Speaker 1>because there's anticipation about what is going to be found there.

0:43:35.360 --> 0:43:37.920
<v Speaker 1>There's a lack of information because they still have their

0:43:37.960 --> 0:43:42.080
<v Speaker 1>clothes on, and so your brain assumes the best. But

0:43:42.480 --> 0:43:46.200
<v Speaker 1>moments after that person disrobes, everyone's sort of over it.

0:43:46.520 --> 0:43:51.360
<v Speaker 1>The internal positive assumptions have been replaced by reality. And

0:43:51.400 --> 0:43:54.800
<v Speaker 1>we can see the same issue of this optimistic judging

0:43:55.280 --> 0:43:59.000
<v Speaker 1>with the size of photographs. A lot of people find

0:43:59.040 --> 0:44:01.680
<v Speaker 1>that when they're looking at some is Twitter profile or

0:44:01.719 --> 0:44:05.839
<v Speaker 1>TikTok profile or LinkedIn photo, you think they look quite attractive,

0:44:05.920 --> 0:44:08.200
<v Speaker 1>and then you click on the photo to make it bigger,

0:44:08.719 --> 0:44:12.080
<v Speaker 1>and your assessment goes down. I've run some initial studies

0:44:12.120 --> 0:44:14.480
<v Speaker 1>on this with small photographs and large photographs, and this

0:44:14.520 --> 0:44:16.920
<v Speaker 1>is what we find. If a photo is small and

0:44:17.000 --> 0:44:20.080
<v Speaker 1>you can't work out any details, you judge it as

0:44:20.120 --> 0:44:23.680
<v Speaker 1>being higher in attractiveness. Now, this may again have to

0:44:23.719 --> 0:44:27.200
<v Speaker 1>do with your inability to make out the small details

0:44:27.200 --> 0:44:30.279
<v Speaker 1>in a small photo, but it also amounts to the

0:44:30.320 --> 0:44:32.920
<v Speaker 1>same thing in space as the glimpse effect. In time.

0:44:33.600 --> 0:44:37.799
<v Speaker 1>The lack of information leads to more dependence on your

0:44:37.920 --> 0:44:42.239
<v Speaker 1>internal model, and our models tend to be hopeful. So

0:44:42.320 --> 0:44:46.000
<v Speaker 1>let's wrap up. We know that across the biological kingdom

0:44:46.000 --> 0:44:50.440
<v Speaker 1>there is a constant broadcasting of signals that most often

0:44:50.480 --> 0:44:53.200
<v Speaker 1>we don't even have conscious access to. But as we

0:44:53.320 --> 0:44:56.359
<v Speaker 1>dive deeper and deeper over the course of these episodes

0:44:56.719 --> 0:45:00.160
<v Speaker 1>into all the computations happening under the hood that we

0:45:00.160 --> 0:45:04.160
<v Speaker 1>don't have access to, we will see this vast empire

0:45:04.280 --> 0:45:07.880
<v Speaker 1>of instincts that we've perhaps never even thought to question.

0:45:08.600 --> 0:45:10.920
<v Speaker 1>We all find that it's obvious that we are more

0:45:10.960 --> 0:45:13.920
<v Speaker 1>attracted to someone versus someone else. Of course, we're attracted

0:45:13.920 --> 0:45:17.640
<v Speaker 1>who wouldn't be, And as William James pointed out, presumably

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<v Speaker 1>every animal feels this way about the particular things that

0:45:21.760 --> 0:45:24.200
<v Speaker 1>tends to do. As he said to the lion, it

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<v Speaker 1>is the lioness which is made to be loved to

0:45:26.840 --> 0:45:29.800
<v Speaker 1>the bear, the she bear, but the technique that allows

0:45:29.880 --> 0:45:33.279
<v Speaker 1>us to really see ourselves is to be able to

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<v Speaker 1>view the familiar as strange. With a little bit of work,

0:45:37.360 --> 0:45:41.799
<v Speaker 1>we can step outside our internal models and see ourselves

0:45:41.800 --> 0:45:45.040
<v Speaker 1>from a new angle. Today we talked about the instinct

0:45:45.080 --> 0:45:48.520
<v Speaker 1>of attraction, and in future episodes we're going to see

0:45:48.719 --> 0:45:52.359
<v Speaker 1>how deeply our instincts drive us in other domains, and

0:45:52.440 --> 0:45:56.440
<v Speaker 1>how invisible these things are until we scratch the surface.

0:45:57.040 --> 0:46:01.560
<v Speaker 1>Making the familiar strange is perhaps the only way to

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<v Speaker 1>really come to understand ourselves and to illuminate the enigmas

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<v Speaker 1>inside our three pound inner cosmos. To find out more

0:46:15.360 --> 0:46:17.640
<v Speaker 1>and to share your thoughts, head over to eagleman dot

0:46:17.640 --> 0:46:22.520
<v Speaker 1>com slash podcast. Send me an email at podcast at

0:46:22.560 --> 0:46:25.960
<v Speaker 1>eagleman dot com with questions or discussion, and I'll be

0:46:26.000 --> 0:46:31.520
<v Speaker 1>making an episode soon in which I address those. Until

0:46:31.560 --> 0:46:35.520
<v Speaker 1>next time, I'm David Eagleman, and this is Inner Cosmos.