WEBVTT - Ep26 "Why do people dislike moist more than moose, but not as much as merts?"

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<v Speaker 1>We all know people who hate the word moist, But

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<v Speaker 1>why are they okay with synonyms like damp or muggy

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<v Speaker 1>or wet. What's going on in their brains and what

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<v Speaker 1>does this have to do with shapes or autism or synesthesia.

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<v Speaker 1>Welcome to another episode of Inner Cosmos with me David Eagleman,

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<v Speaker 1>all about the magical three pounds of matter that constitute

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<v Speaker 1>your reality. In today's episode, we're going to talk about

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<v Speaker 1>a wild and relatively new example of the differences between

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<v Speaker 1>people's internal cosmoses. We're going to talk about word aversion.

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<v Speaker 1>Imagine that you find a tribe of people with little

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<v Speaker 1>contact with the outside world, and they show you that

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<v Speaker 1>they have some shapes that they draw. One of them

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<v Speaker 1>is a round, blobby object, and another shape is a sharp,

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<v Speaker 1>spiky star pattern. Now you figure out that one of

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<v Speaker 1>these they call bouba and the other they call kiki.

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<v Speaker 1>And the question I have for you is which do

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<v Speaker 1>you think is which is the blobby thing called kiki

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<v Speaker 1>and the starburst thing is called buba? Or would you

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<v Speaker 1>guess it's the other way around? If you are like

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<v Speaker 1>essentially everyone else on the planet, you guessed that the

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<v Speaker 1>blobby object was called buba, and the sharp object was

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<v Speaker 1>called kiki. Now, the buba kiki effect was something studied

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<v Speaker 1>in a psychology paper a century ago, and it was

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<v Speaker 1>a little surprising because essentially everybody gives the same answer,

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<v Speaker 1>linking the soft sounding word with the soft looking object

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<v Speaker 1>and vice versa. But this is surprising because in general,

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<v Speaker 1>there's really not supposed to be a relationship between the

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<v Speaker 1>sound of a word and what it looks like. But

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<v Speaker 1>what this tells us is that we sometimes have relationships

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<v Speaker 1>across the senses. And if you heard my episode on synesthesia,

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<v Speaker 1>episode four, you'll know that a fraction of people, probably

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<v Speaker 1>between five and ten percent, have this kind of blending

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<v Speaker 1>of the senses in more unusual ways. For example, they

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<v Speaker 1>might see letters and that triggers a color experience for them,

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<v Speaker 1>where they might hear something, and that triggers a visual

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<v Speaker 1>shape for them where they might taste something and that

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<v Speaker 1>puts a feeling on their fingertips and so on. Now,

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<v Speaker 1>I'm going to come back to this issue of synesthesia.

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<v Speaker 1>That want to return to the issue of the sound

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<v Speaker 1>of a word. So let me begin by pointing out

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<v Speaker 1>that in general, the sound of a word has no

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<v Speaker 1>relationship to its meaning. You can call a car an

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<v Speaker 1>automobile or a vehicle or whatever. We don't just call

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<v Speaker 1>it a room. So the sound that we make with

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<v Speaker 1>our mouth car is usually quite arbitrary, and you can

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<v Speaker 1>see this by comparing across languages, where you can call

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<v Speaker 1>it a mahonite or che or vatur or whatever. So

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<v Speaker 1>the sound of a word and its meaning are typically unconnected.

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<v Speaker 1>But it's not always so simple, because sometimes we do

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<v Speaker 1>find a strange relationship between sound and meaning. Think of

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<v Speaker 1>on amotopeia, where a word imitates phonetically, in other words,

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<v Speaker 1>in sound what it describes. For example, for a gun

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<v Speaker 1>firing we say bang. It's a mapping between the sound

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<v Speaker 1>and the meaning that's not arbitrary. Or describing the sound

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<v Speaker 1>a fly makes as buzz, or describing the sound of

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<v Speaker 1>cat makes as hiss, And there are lots of examples

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<v Speaker 1>of onomatopeia, like the sound of something breaking we say crash,

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<v Speaker 1>or the sound of something plunking into the water, or

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<v Speaker 1>the sound of a clock we use TikTok, or when

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<v Speaker 1>we think about the sound of cat makes in English,

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<v Speaker 1>we say meow, or for a dog woof or a

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<v Speaker 1>frog ribbit. These are all examples of words that have

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<v Speaker 1>a phonetic relationship with the thing they describe. In other words,

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<v Speaker 1>they sound like it. And sometimes these relationships between sound

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<v Speaker 1>and meaning are even more subtle. There's something called phonus themes,

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<v Speaker 1>which are clusters of sound that you find in common

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<v Speaker 1>across related words in a language. So in English we

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<v Speaker 1>find the sound made by gl or ghul is associated

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<v Speaker 1>with light or shining. Think about words like gleam, glitter, glisten, glow,

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<v Speaker 1>and more loosely, words like glorious or glamorous. Across all

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<v Speaker 1>these words, which are cousins in meaning, you find the

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<v Speaker 1>same sound. So linguists are aware that sometimes there are

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<v Speaker 1>mappings between the way a word sounds and its meaning,

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<v Speaker 1>but there's not much known about the more specific relationship

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<v Speaker 1>between word sounds and an unusual emotional response that can

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<v Speaker 1>be triggered. So I got interested in this question because

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<v Speaker 1>something didn't escape my notice and probably not yours either,

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<v Speaker 1>And that's the fact that some fraction of my friends

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<v Speaker 1>can stand certain words. This is something that struck the

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<v Speaker 1>author George Saunders when he was giving a reading of

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<v Speaker 1>a new book he'd just published, and he was surprised

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<v Speaker 1>that people in the audience didn't really seem to mind

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<v Speaker 1>his really rough language with the cussing and the sex

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<v Speaker 1>scenes and so on. But two people told him that

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<v Speaker 1>they really hated that he used the word moist. His

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<v Speaker 1>cousin who was there, said it made her feel a

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<v Speaker 1>little physically ill when he used it. And then he

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<v Speaker 1>gave a reading in a different location, and his sister

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<v Speaker 1>was there and she said the same thing. Her reaction

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<v Speaker 1>wasn't to the risk a language and scenes, but to

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<v Speaker 1>a single word moist. Now, as it turns out, lots

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<v Speaker 1>of people, people you know or people you love, they

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<v Speaker 1>hate the word moist. It triggers a feeling of aversion

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<v Speaker 1>or disgust. For some people, this makes cooking shows unwatchable,

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<v Speaker 1>or they can't read an article about forestry and soil

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<v Speaker 1>or whatever. Moist is famous for being a word that

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<v Speaker 1>many people despise, but moist is just one word of

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<v Speaker 1>many consider the word tender, the word slacks, the word tissue. Now,

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<v Speaker 1>many of you listening don't mind these words at all,

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<v Speaker 1>and others are disgusted by these or consider words like

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<v Speaker 1>the yellow thing inside an egg, the word yoke. Some

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<v Speaker 1>people hate that word and many other words come up

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<v Speaker 1>in our studies as being unusually hated words like nourish, bulge, pulp, giggle,

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<v Speaker 1>fluffy nugget, or there was a guy who got interested

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<v Speaker 1>in astronomy but got put off by the term globular cluster.

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<v Speaker 1>So this phenomenon is called word aversion, and what it

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<v Speaker 1>involves are words that are neutral in their meaning, like

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<v Speaker 1>tissue or a globular cluster or whatever. There's no particular

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<v Speaker 1>emotional meaning to the word, but it triggers a feeling

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<v Speaker 1>of repugnance in some fraction of the population. My colleague

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<v Speaker 1>Mark Lieberman, who's a linguist at the University of Pennsylvania,

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<v Speaker 1>he set out to give a clear definition of word aversion.

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<v Speaker 1>He said, it's quote a feeling of intense, irrational distaste

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<v Speaker 1>for the sounder sight of a particular word or phrase,

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<v Speaker 1>not because its use is regarded as etymologically wrong or

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<v Speaker 1>logically wrong or grammatically wrong, nor because it's felt to

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<v Speaker 1>be overused or redundant or trendy or non standard, but

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<v Speaker 1>simply because the word itself somehow feels unpleasant or even disgusting.

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<v Speaker 1>End quote. So I want to be clear that there

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<v Speaker 1>are all kinds of words that you can hate for

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<v Speaker 1>other reasons. You might find some word snobbish or foolish,

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<v Speaker 1>or you might think that it's being used incorrectly. But

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<v Speaker 1>those are all different from word aversion, and we're not

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<v Speaker 1>talking about politically charged words like words that are sexually

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<v Speaker 1>taboo or religiously taboo, or ethnic slurs or other offensive words.

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<v Speaker 1>Word aversion is a different thing. And Lieberman points out

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<v Speaker 1>that while people say they hate words like moist, it's

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<v Speaker 1>not the angry kind of hate. It's more the cringe, shudder, shiver,

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<v Speaker 1>gives me the willies kind of hate. As an example,

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<v Speaker 1>one person online said, and I quote the word panties

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<v Speaker 1>grosses me out, and hypercorrect usage of whom annoys me.

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<v Speaker 1>But the feelings I get when I hear them are

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<v Speaker 1>two distinct sensations that I would never confuse end quote.

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<v Speaker 1>So the scientific mindset cares about this distinction and understanding

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<v Speaker 1>what is going on here, And my lab got interested

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<v Speaker 1>in this because we saw that word aversion provided an

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<v Speaker 1>inroad to study this strange and unexpected relationship between sound

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<v Speaker 1>and emotion. Now, before we dig in on this, I

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<v Speaker 1>want to fully flesh out word a version with some examples.

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<v Speaker 1>And there's a ton of information about word a version

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<v Speaker 1>spread all around online forums. So I'll just give you

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<v Speaker 1>some examples to enhance our intuitions about this. One woman

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<v Speaker 1>named Lisa posted quote, there's one word that I hate

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<v Speaker 1>above all others. If I come across it, I must

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<v Speaker 1>immediately declare my hatred of it to anyone who is

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<v Speaker 1>there to listen. If there's no one around, I'll resort

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<v Speaker 1>to primal arguing and hit the page where the word resides.

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<v Speaker 1>The word is hard scrabble. I don't have a logical

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<v Speaker 1>reason for hate this word. I haven't had a traumatic

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<v Speaker 1>experience with it in the past. I simply find it revolting.

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<v Speaker 1>It's ugly. End quote. Someone else posted luggage. Can't stand

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<v Speaker 1>that word luggage. It just feels gross. End quote. Someone

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<v Speaker 1>else says I hate the word pugilist. Another says tissue shiver.

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<v Speaker 1>It gives me the willies. Someone else writes, my girlfriend's

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<v Speaker 1>sister hates the word moist fist used together. So if

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<v Speaker 1>you start looking around, you'll find literally thousands of posts

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<v Speaker 1>and discussions about this, which, from a scientific point of view,

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<v Speaker 1>suggests that there's something to be understood here. Now. Quite commonly,

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<v Speaker 1>when you look through these forums, you see words like

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<v Speaker 1>moist and fleshy, and panties, but there are lots of

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<v Speaker 1>other words that are less expected. One woman reports, quote,

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<v Speaker 1>my mother hated gut, would not let us say it,

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<v Speaker 1>as if it were the worst word in English. End quote.

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<v Speaker 1>Other people online give examples like goose, pimple, or a

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<v Speaker 1>chunk or wedge, or meal or baffle or squab or cornucopia.

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<v Speaker 1>One person pointed to the word giggle and said he

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<v Speaker 1>hates that word quote with the concentrated hatred of a

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<v Speaker 1>thousand hate filled sons. End quote, fudge conduit. One person

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<v Speaker 1>said his aversive words were a gig motif and whimsy.

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<v Speaker 1>He says, quote no rational reason, just hate them unquote.

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<v Speaker 1>Now there are a few important clues that we need

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<v Speaker 1>to note here. The first thing is that not everyone

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<v Speaker 1>experiences word aversion. In fact, most people don't, and this

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<v Speaker 1>is something I'll come back to in a bit. But

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<v Speaker 1>of course it's hard to know what fraction of the

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<v Speaker 1>population has this. So about a decade ago, Mark Lieberman

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<v Speaker 1>decided to take a cre creative shot at gathering some data.

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<v Speaker 1>He noted that the problem with scraping people's online postings

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<v Speaker 1>about word a version was that it can't tell you

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<v Speaker 1>what fraction of people experience it. In other words, how

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<v Speaker 1>many people have word a version? Because if a commenter

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<v Speaker 1>writes how aversive moist is to them, you don't know

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<v Speaker 1>if that poster represents one out of five people or

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<v Speaker 1>one out of five hundred. So Lieberman had an interesting

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<v Speaker 1>idea to look at famous authors and see how often

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<v Speaker 1>they use the word moist. Now, just a side note

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<v Speaker 1>that this is the kind of experiment that you can

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<v Speaker 1>do now, but you couldn't do this twenty five years

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<v Speaker 1>ago because you need to analyze every word of the

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<v Speaker 1>entire corpus of each author, everything they've ever written. Nowadays

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<v Speaker 1>this seems trivial, but I just want to point out

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<v Speaker 1>that this kind of questioning and answering was just not

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<v Speaker 1>available even a generation ago. So we're living in terrific times, Okay.

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<v Speaker 1>So he tapped into projects Gutenberg, which was an early

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<v Speaker 1>project to digitize books and make them searchable, and using

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<v Speaker 1>that approach, which was still a little rough back in

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<v Speaker 1>twenty twelve. When he did this, he analyzed the complete

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<v Speaker 1>works of fifty authors. So this was about one hundred

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<v Speaker 1>and twenty five million words, with an average of about

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<v Speaker 1>two and a half million words per author, and he

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<v Speaker 1>found that on average, there were about six appearances of

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<v Speaker 1>the word moist per million words. Now here's the interesting part.

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<v Speaker 1>He found that for some authors, like Jane Austen, for instance,

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<v Speaker 1>there was never a single mention ever of the word moist.

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<v Speaker 1>If it was just a random draw, the fact that

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<v Speaker 1>she never ever used moist would have a probability of

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<v Speaker 1>happening by chance of zero point seven, in other words,

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<v Speaker 1>a very low probability of that happening just by chance.

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<v Speaker 1>On the other hand, some authors use it plenty. The

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<v Speaker 1>short story writer Brett Hart from the eighteen hundreds used

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<v Speaker 1>fifty six moists, or about twenty two times for every

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<v Speaker 1>million words. But compare rehtt Hart to Mark Twain, who

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<v Speaker 1>lived at almost exactly the same time. Mark Twain only

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<v Speaker 1>used the word moist two times in his entire career,

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<v Speaker 1>and he wrote a lot more so. Mark Twain used

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<v Speaker 1>only zero point five moists per million words, or forty

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<v Speaker 1>four times less often than Brett Hart. And by the way,

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<v Speaker 1>Lieberman points out that one of Twain's uses of the

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<v Speaker 1>word moist hardly counts because it was part of a

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<v Speaker 1>long made up name of an elephant, and the other

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<v Speaker 1>use of moist Lieberman asks with a question mark whether

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<v Speaker 1>that single use of the word might have been in

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<v Speaker 1>by an editor. In any case, this kind of literary

0:16:04.600 --> 0:16:08.360
<v Speaker 1>detective work reveals that some authors are happy to use

0:16:08.400 --> 0:16:12.160
<v Speaker 1>the word and others avoided completely in every sentence they've

0:16:12.160 --> 0:16:15.880
<v Speaker 1>ever published in their entire career. Now you might point

0:16:15.880 --> 0:16:19.440
<v Speaker 1>out that maybe these authors just wrote about different topics

0:16:19.480 --> 0:16:23.240
<v Speaker 1>and so moistness just didn't come up. So to address that,

0:16:23.720 --> 0:16:29.240
<v Speaker 1>Lieberman quantified other humidity related words like wet, damp, or

0:16:29.360 --> 0:16:32.520
<v Speaker 1>dry or arid, and he did the calculations on those,

0:16:32.960 --> 0:16:36.720
<v Speaker 1>and he found that Mark Twain used plenty of such words,

0:16:36.960 --> 0:16:39.880
<v Speaker 1>He had about half the rate of Brett Hart, even

0:16:39.920 --> 0:16:43.440
<v Speaker 1>while his use of the particular word moist was forty

0:16:43.440 --> 0:16:48.400
<v Speaker 1>four times less frequent. So by looking at someone's entire

0:16:48.480 --> 0:16:51.280
<v Speaker 1>corpus of writing, you might be able to tell something

0:16:51.680 --> 0:16:55.600
<v Speaker 1>about who hated moist and who didn't care. Now, why

0:16:55.640 --> 0:16:59.520
<v Speaker 1>is there any difference between people? Well, let's take a

0:16:59.560 --> 0:17:02.680
<v Speaker 1>quick dive version into another area that my lab is

0:17:02.680 --> 0:17:07.399
<v Speaker 1>studied for a long time, sinesthesia. These reports of word

0:17:07.560 --> 0:17:12.040
<v Speaker 1>aversion immediately grabbed my attention because in sinesthesia, as I

0:17:12.119 --> 0:17:15.520
<v Speaker 1>mentioned at the beginning, we see a cross blending of

0:17:15.560 --> 0:17:18.879
<v Speaker 1>the senses. So sounds of certain words might trigger a

0:17:18.960 --> 0:17:22.240
<v Speaker 1>color experience, or a texture or a taste, and word

0:17:22.240 --> 0:17:25.600
<v Speaker 1>aversion sounds quite a bit like that. We're talking about

0:17:26.240 --> 0:17:31.320
<v Speaker 1>sensory experiences that we usually consider as separate and distinct,

0:17:31.440 --> 0:17:36.120
<v Speaker 1>but in some people the lines between these different sensations

0:17:36.160 --> 0:17:39.719
<v Speaker 1>aren't so rigid. And so although we typically think of

0:17:39.760 --> 0:17:44.679
<v Speaker 1>synesthesia as triggering colors or sounds, there certainly seem to

0:17:44.680 --> 0:17:48.080
<v Speaker 1>be examples where any emotion is triggered, and often it's

0:17:48.119 --> 0:17:53.280
<v Speaker 1>an emotion of aversion or disgust. So something I've previously

0:17:53.359 --> 0:17:58.040
<v Speaker 1>suggested in the literature is that the sensory processing disorder

0:17:58.359 --> 0:18:02.359
<v Speaker 1>that we see in autism is actually a kind of synesthesia.

0:18:02.960 --> 0:18:06.400
<v Speaker 1>Sensory processing disorder is when you see a kid who

0:18:06.480 --> 0:18:10.480
<v Speaker 1>can't stand certain sounds it drives them nuts, like the

0:18:10.560 --> 0:18:12.840
<v Speaker 1>sound of a vacuum or the sound of a zipper

0:18:13.280 --> 0:18:16.320
<v Speaker 1>or somebody chewing or so on. So I think that

0:18:16.480 --> 0:18:19.760
<v Speaker 1>is a form of synesthesia, But instead of a region

0:18:19.840 --> 0:18:24.040
<v Speaker 1>of the brain like color getting triggered, it's regions involved

0:18:24.080 --> 0:18:27.159
<v Speaker 1>in aversion. There are a whole bunch of circuits in

0:18:27.200 --> 0:18:30.320
<v Speaker 1>the brain involved in pain and disgust or itch or whatever.

0:18:31.040 --> 0:18:34.879
<v Speaker 1>So if sensory processing disorder is a form of synesthesia,

0:18:35.359 --> 0:18:38.680
<v Speaker 1>you can see why word a version grabbed my attention.

0:18:39.280 --> 0:18:43.160
<v Speaker 1>I wondered if there might be some sinesthetic relationship here,

0:18:43.720 --> 0:18:46.919
<v Speaker 1>that a person might get this cross blending of different

0:18:46.960 --> 0:18:51.119
<v Speaker 1>senses with the sound of the word and an emotion

0:18:51.960 --> 0:18:56.920
<v Speaker 1>that that triggers. Instead of colors, one gets a feeling

0:18:57.920 --> 0:19:17.639
<v Speaker 1>instead of indigo blue, one gets the creeps. So I

0:19:17.640 --> 0:19:20.320
<v Speaker 1>got very interested in understanding what was going on here,

0:19:20.800 --> 0:19:23.000
<v Speaker 1>And the first thing I zoomed in on was that

0:19:23.040 --> 0:19:26.720
<v Speaker 1>for people with word aversion, it doesn't happen for all words,

0:19:26.880 --> 0:19:30.160
<v Speaker 1>just certain words. So how could we drill down on that?

0:19:31.200 --> 0:19:33.439
<v Speaker 1>First I found in the literature that there had been

0:19:33.480 --> 0:19:37.680
<v Speaker 1>a study on word aversion. A researcher named Paul Thibodeau

0:19:38.400 --> 0:19:42.760
<v Speaker 1>explored what he called moist aversion, and it was binary,

0:19:42.840 --> 0:19:45.159
<v Speaker 1>in other words, just based on your yes or no

0:19:45.480 --> 0:19:48.960
<v Speaker 1>answer to the question would you characterize yourself as being

0:19:49.000 --> 0:19:53.840
<v Speaker 1>particularly averse to the word moist. But we know that

0:19:53.960 --> 0:19:58.760
<v Speaker 1>word a version is much broader than moist aversion. Many

0:19:58.840 --> 0:20:02.439
<v Speaker 1>other words appear all the time in self reports of

0:20:02.520 --> 0:20:06.960
<v Speaker 1>word aversion, like tender or slax or nugget or tissue.

0:20:07.920 --> 0:20:11.720
<v Speaker 1>So Thibodeau's study was an important first step in understanding

0:20:11.720 --> 0:20:15.040
<v Speaker 1>word of version, but it left a lot unanswered. Okay,

0:20:15.080 --> 0:20:17.879
<v Speaker 1>so what were the next steps for us? If aversive

0:20:18.000 --> 0:20:20.880
<v Speaker 1>words were only words like moist, we might think it's

0:20:20.920 --> 0:20:24.560
<v Speaker 1>some reference to the meaning of the word. But something

0:20:24.600 --> 0:20:27.320
<v Speaker 1>I noticed is that people often clarified that they were

0:20:27.440 --> 0:20:31.879
<v Speaker 1>fine with alternative words or synonyms. Even if they hated

0:20:31.920 --> 0:20:35.920
<v Speaker 1>the word panties. They were fine with words like undies

0:20:35.960 --> 0:20:39.720
<v Speaker 1>and thong, just not panties. And even if they hated

0:20:39.720 --> 0:20:43.879
<v Speaker 1>the word moist, they were fine using synonyms in its place,

0:20:44.040 --> 0:20:48.320
<v Speaker 1>like damp or humid, or muggy or wet. So that

0:20:48.400 --> 0:20:52.560
<v Speaker 1>suggests it's not just about the meaning, but perhaps there

0:20:52.640 --> 0:20:55.359
<v Speaker 1>was something else going on. And with so many of

0:20:55.400 --> 0:20:58.040
<v Speaker 1>the other words that show up on these lists, it's

0:20:58.240 --> 0:21:03.040
<v Speaker 1>essentially impossible to think of any meaning, even several degrees

0:21:03.080 --> 0:21:07.040
<v Speaker 1>away that could possibly be triggering. Who has anything against

0:21:07.080 --> 0:21:13.919
<v Speaker 1>the word giggle or wedge or luggage. So one possibility

0:21:13.920 --> 0:21:17.760
<v Speaker 1>that suggested itself is that it's the sound of the word,

0:21:17.840 --> 0:21:21.600
<v Speaker 1>not just the meaning, that was the basis for the aversion.

0:21:22.040 --> 0:21:24.240
<v Speaker 1>And so we got interested in this question, and I

0:21:24.280 --> 0:21:27.760
<v Speaker 1>started looking into this with a student of mine, Hannah Bosley,

0:21:27.760 --> 0:21:31.120
<v Speaker 1>who's now a clinical psychologist in Berkeley, and we ran

0:21:31.160 --> 0:21:34.240
<v Speaker 1>a study in my lab to figure out more about

0:21:34.400 --> 0:21:37.680
<v Speaker 1>word a version. Now, what other reasons do we have

0:21:37.760 --> 0:21:40.679
<v Speaker 1>for thinking that the sound of the word has anything

0:21:40.720 --> 0:21:42.840
<v Speaker 1>to do with it. Well, first of all, it's not

0:21:43.119 --> 0:21:46.560
<v Speaker 1>uncommon to hear things from people with word a version

0:21:46.920 --> 0:21:50.400
<v Speaker 1>who point to a phonetic detail, in other words, how

0:21:50.520 --> 0:21:54.320
<v Speaker 1>the word sounds like that they hate words that contain

0:21:54.400 --> 0:21:58.119
<v Speaker 1>the sound oil or oiin. An example of this is

0:21:58.160 --> 0:22:01.920
<v Speaker 1>the word ointment, which is despised almost as much as

0:22:02.000 --> 0:22:06.000
<v Speaker 1>moist and the political writer William Safire pointed out that

0:22:06.080 --> 0:22:09.720
<v Speaker 1>the oise sound triggers an aversion in some people, and

0:22:09.760 --> 0:22:12.920
<v Speaker 1>he said he thinks this is why some people insist

0:22:12.960 --> 0:22:17.800
<v Speaker 1>on being called an attorney instead of a lawyer, or

0:22:17.840 --> 0:22:21.040
<v Speaker 1>other people hate the word shibbleth even if they don't

0:22:21.040 --> 0:22:24.560
<v Speaker 1>know what it means. Or one guy online noted that

0:22:24.760 --> 0:22:29.160
<v Speaker 1>he has word a version to any word beginning with cht,

0:22:29.200 --> 0:22:33.040
<v Speaker 1>like Cathonic or Cathonian, and he doesn't like similar words

0:22:33.080 --> 0:22:36.200
<v Speaker 1>like Cthulhu, which was a creature created by the sci

0:22:36.280 --> 0:22:40.440
<v Speaker 1>fi writer Lovecraft in nineteen twenty eight. So many, many

0:22:40.480 --> 0:22:44.280
<v Speaker 1>of the words that people find aversive seem unrelated to

0:22:44.320 --> 0:22:49.280
<v Speaker 1>the meaning and more about the sound. So we focused

0:22:49.280 --> 0:22:52.120
<v Speaker 1>in on the sound issues at play. What is the

0:22:52.160 --> 0:22:55.400
<v Speaker 1>mapping between how something sounds and the emotion it triggers.

0:22:55.840 --> 0:22:58.480
<v Speaker 1>So we tested two hundred and forty four people and

0:22:58.560 --> 0:23:02.560
<v Speaker 1>what we did is we built three lists of words

0:23:02.600 --> 0:23:06.480
<v Speaker 1>matched by the first letter and the length. The first

0:23:06.600 --> 0:23:11.879
<v Speaker 1>list was aversive words based on the most commonly reported

0:23:12.440 --> 0:23:16.040
<v Speaker 1>disliked words in online forums, so words like moist and

0:23:16.119 --> 0:23:19.160
<v Speaker 1>tender and slacks and giggle and so on. And list

0:23:19.240 --> 0:23:22.520
<v Speaker 1>number two was a list of other words generated from

0:23:22.520 --> 0:23:26.399
<v Speaker 1>a word generator that matched in length or meaning or

0:23:26.520 --> 0:23:29.920
<v Speaker 1>first letter. These were in different experiments, but these were

0:23:29.960 --> 0:23:33.840
<v Speaker 1>all neutral words that nobody found versive. And the third

0:23:33.880 --> 0:23:39.120
<v Speaker 1>list was nonsense words that had the same phoning frequency

0:23:39.280 --> 0:23:42.520
<v Speaker 1>of English, but they were totally made up, like strains

0:23:42.880 --> 0:23:47.240
<v Speaker 1>or yin's or pilp. So as an example, slacks might

0:23:47.280 --> 0:23:50.760
<v Speaker 1>be the commonly reported aversive word, and then we tested

0:23:50.760 --> 0:23:55.240
<v Speaker 1>against the word slopes which is neutral, and slent, which

0:23:55.280 --> 0:23:57.720
<v Speaker 1>is a nonsense word meaning it's a word that's just

0:23:57.840 --> 0:24:03.080
<v Speaker 1>made up. Or another example is moist and moose and

0:24:03.720 --> 0:24:08.920
<v Speaker 1>ritz or a giggle and pickle, and gampin. So we

0:24:09.040 --> 0:24:13.520
<v Speaker 1>asked participants to read words and record their feelings about

0:24:13.560 --> 0:24:16.160
<v Speaker 1>the sound of the words. So you see a word

0:24:16.200 --> 0:24:19.639
<v Speaker 1>presented on the screen from any of these categories, and

0:24:19.760 --> 0:24:22.320
<v Speaker 1>with each word you rate it on a scale from

0:24:22.720 --> 0:24:26.840
<v Speaker 1>most unpleasant to most pleasant. So what did we find.

0:24:27.359 --> 0:24:32.639
<v Speaker 1>The average rating for the aversive word group was significantly

0:24:32.800 --> 0:24:37.679
<v Speaker 1>more unpleasant than the real word controls. So we know

0:24:37.760 --> 0:24:41.520
<v Speaker 1>that a subset of the population has greater than average

0:24:41.640 --> 0:24:43.879
<v Speaker 1>version of these words, but what we had was a

0:24:43.960 --> 0:24:47.919
<v Speaker 1>random population sample. But even here we find that the

0:24:48.040 --> 0:24:52.080
<v Speaker 1>pre selected aversive words are more unpleasant on average than

0:24:52.119 --> 0:24:55.720
<v Speaker 1>the matched control words. So that suggests that there may

0:24:55.760 --> 0:24:59.600
<v Speaker 1>be something different about these aversive words like moist and slacks,

0:24:59.640 --> 0:25:04.159
<v Speaker 1>and that causes these words to be more commonly disliked.

0:25:04.840 --> 0:25:08.400
<v Speaker 1>But we also found something unexpected, which was that the

0:25:08.440 --> 0:25:12.800
<v Speaker 1>most unpleasant words for people were the nonsense words. In

0:25:12.840 --> 0:25:18.280
<v Speaker 1>other words, to our surprise, the nonsense words like gloike

0:25:18.560 --> 0:25:24.400
<v Speaker 1>and frajoians and ulvasus and pesmeri and nullogh were even

0:25:24.520 --> 0:25:27.920
<v Speaker 1>more aversive than the words that we intended to be aversive.

0:25:28.480 --> 0:25:31.840
<v Speaker 1>So what does that mean? Well, we started to examine

0:25:31.880 --> 0:25:34.800
<v Speaker 1>why we got that result, what is it about the

0:25:34.840 --> 0:25:39.080
<v Speaker 1>aversive words and the nonsense words that's getting to some people?

0:25:39.760 --> 0:25:43.680
<v Speaker 1>It presumably has something to do with the particular phonemes,

0:25:43.760 --> 0:25:48.160
<v Speaker 1>the sounds and the words, but what well. One idea

0:25:48.200 --> 0:25:53.200
<v Speaker 1>that people have suggested is that particular phonemes may inherently

0:25:53.840 --> 0:25:58.000
<v Speaker 1>connote a pleasant or unpleasant valance. For example, there was

0:25:58.040 --> 0:26:02.560
<v Speaker 1>an eighteenth century Russian poet named Mikhail Lemonzov who asserted

0:26:02.600 --> 0:26:07.760
<v Speaker 1>that tender or positive or pleasant subjects should be described

0:26:07.880 --> 0:26:12.800
<v Speaker 1>using vowels like I and e, and that unpleasant, fear

0:26:12.840 --> 0:26:17.960
<v Speaker 1>evoking subjects should be described using vowels like oh and ah.

0:26:18.359 --> 0:26:21.360
<v Speaker 1>But this isn't generally the same from language to language,

0:26:21.440 --> 0:26:23.800
<v Speaker 1>or even from person to person. And so we started

0:26:23.800 --> 0:26:28.280
<v Speaker 1>to consider the possibility that perhaps certain sounds go with

0:26:28.320 --> 0:26:34.479
<v Speaker 1>certain emotions because those sounds occur with different frequencies in

0:26:34.520 --> 0:26:37.480
<v Speaker 1>a given language. So why would it matter if some

0:26:37.640 --> 0:26:43.480
<v Speaker 1>sound is more likely to occur than another. Well, in psychology,

0:26:43.520 --> 0:26:48.320
<v Speaker 1>there's a phenomenon known as the mere exposure effect, in

0:26:48.359 --> 0:26:53.240
<v Speaker 1>which people tend to prefer familiar items or concepts over

0:26:53.600 --> 0:26:56.680
<v Speaker 1>unfamiliar ones. This is so important that I'm gonna take

0:26:56.720 --> 0:26:59.800
<v Speaker 1>a minute to talk about this. The mere exposure of

0:27:00.359 --> 0:27:04.280
<v Speaker 1>is also known as the familiarity principle, and it points

0:27:04.280 --> 0:27:08.080
<v Speaker 1>to the fact that people develop a preference or a

0:27:08.160 --> 0:27:12.840
<v Speaker 1>liking for things that they are exposed to repeatedly, even

0:27:12.840 --> 0:27:15.520
<v Speaker 1>if they were neutral to it at the beginning. The

0:27:15.520 --> 0:27:18.719
<v Speaker 1>more you encounter something, the more you tend to like it,

0:27:18.960 --> 0:27:21.600
<v Speaker 1>and this is true, by the way, whether or not

0:27:21.800 --> 0:27:25.960
<v Speaker 1>you consciously remember encountering it before. This has been shown

0:27:26.000 --> 0:27:28.919
<v Speaker 1>in a million studies. From the people we meet to

0:27:28.960 --> 0:27:34.760
<v Speaker 1>the products we encounter, familiarity breeds preference. For example, you

0:27:34.800 --> 0:27:38.800
<v Speaker 1>might find yourself gravitating towards a particular song on the

0:27:38.920 --> 0:27:41.960
<v Speaker 1>radio after you hear it a few times, or you

0:27:42.040 --> 0:27:45.040
<v Speaker 1>might feel more comfortable with someone that you've met a

0:27:45.040 --> 0:27:48.240
<v Speaker 1>few times, even if you didn't feel a strong initial connection.

0:27:49.080 --> 0:27:54.520
<v Speaker 1>The mere exposure effect highlights the brain's inclination to find

0:27:54.720 --> 0:27:59.440
<v Speaker 1>comfort in the familiar. Now. Possibly this is because repeated

0:27:59.520 --> 0:28:05.720
<v Speaker 1>exposure reduces the uncertainty or the perceived threat associated with

0:28:05.800 --> 0:28:10.840
<v Speaker 1>anything unfamiliar, so over time, this increased comfort results in

0:28:10.880 --> 0:28:14.399
<v Speaker 1>a preference or a liking. And by the way, the

0:28:14.400 --> 0:28:16.199
<v Speaker 1>way that you study this in the lab is you

0:28:16.359 --> 0:28:19.800
<v Speaker 1>show people shapes or faces or words that they haven't

0:28:19.840 --> 0:28:23.600
<v Speaker 1>seen before, and you have them rate them, and what

0:28:23.640 --> 0:28:25.920
<v Speaker 1>you find is that they tend to rate these things

0:28:26.040 --> 0:28:30.480
<v Speaker 1>more positively after being exposed to them multiple times, even

0:28:30.520 --> 0:28:34.119
<v Speaker 1>if they're not consciously aware of the exposures. And this

0:28:34.280 --> 0:28:38.280
<v Speaker 1>mere exposure effect is leveraged all the time by marketers

0:28:38.320 --> 0:28:43.480
<v Speaker 1>and advertisers who use repetition to make products more appealing.

0:28:44.560 --> 0:28:46.480
<v Speaker 1>This is why companies will pay a lot of money

0:28:46.480 --> 0:28:49.880
<v Speaker 1>to have their product appear in the background of a

0:28:50.000 --> 0:28:53.560
<v Speaker 1>television show or a movie, because that way we feel

0:28:53.600 --> 0:28:56.720
<v Speaker 1>closer to it. We warm up to things that we

0:28:56.960 --> 0:29:02.480
<v Speaker 1>encounter frequently. Now, this is issue of familiarity. It also

0:29:02.560 --> 0:29:06.160
<v Speaker 1>applies in the realm of language. If you're exposed more

0:29:06.280 --> 0:29:11.680
<v Speaker 1>to certain sounds, you come to prefer those over infrequent ones.

0:29:12.360 --> 0:29:16.520
<v Speaker 1>So we explored whether this familiarity effect holds true at

0:29:16.520 --> 0:29:22.520
<v Speaker 1>the level of sounds to explain word a version, so

0:29:22.560 --> 0:29:27.160
<v Speaker 1>we calculated the probability of certain sounds going together in

0:29:27.200 --> 0:29:29.760
<v Speaker 1>the English language. Essentially, if you look at a word,

0:29:29.840 --> 0:29:34.120
<v Speaker 1>how word like or well formed it is. So, for example,

0:29:34.160 --> 0:29:38.760
<v Speaker 1>take the word blick. It doesn't violate any sound constraints

0:29:38.800 --> 0:29:42.760
<v Speaker 1>in English. But if you have the word benick that's

0:29:42.960 --> 0:29:47.720
<v Speaker 1>less permissible because of the initial b n sound. So essentially,

0:29:48.120 --> 0:29:51.719
<v Speaker 1>the less a word sounds like other English words, the

0:29:51.840 --> 0:29:54.920
<v Speaker 1>lower its probability is. If you want to know, this

0:29:55.000 --> 0:29:58.160
<v Speaker 1>is called phonotactic probability. And by the way, if you

0:29:58.200 --> 0:30:00.240
<v Speaker 1>want to read all the details of the study, I'm

0:30:00.280 --> 0:30:03.800
<v Speaker 1>linking our paper at eagleman dot com slash podcast. So

0:30:03.880 --> 0:30:08.680
<v Speaker 1>what we found is that the phonotactic probability how likely

0:30:09.080 --> 0:30:12.920
<v Speaker 1>different sounds go together. This mapped right onto what we

0:30:13.080 --> 0:30:17.959
<v Speaker 1>found for the scores. The nonsense words, which everyone hated,

0:30:18.280 --> 0:30:22.120
<v Speaker 1>had the lowest probability of existing as words. They were

0:30:22.160 --> 0:30:25.000
<v Speaker 1>the least word like in the sense of all these

0:30:25.040 --> 0:30:29.680
<v Speaker 1>sounds ending up together. Now, the aversive words like moist

0:30:29.800 --> 0:30:33.800
<v Speaker 1>and slacks and nugget had higher probabilities of those sounds

0:30:33.800 --> 0:30:39.640
<v Speaker 1>going together, but these were less probable than the control words,

0:30:39.680 --> 0:30:42.720
<v Speaker 1>the words that nobody minded. So the control words had

0:30:42.760 --> 0:31:03.680
<v Speaker 1>the highest probability of the sounds going together. So sound

0:31:03.800 --> 0:31:10.880
<v Speaker 1>groupings that were improbable mapped onto higher aversion. And then

0:31:10.880 --> 0:31:13.400
<v Speaker 1>we looked at a related measure. You can calculate what's

0:31:13.440 --> 0:31:17.040
<v Speaker 1>called the neighborhood density for any word. This just tells

0:31:17.080 --> 0:31:20.800
<v Speaker 1>you how many words differ from your word by only

0:31:20.880 --> 0:31:25.280
<v Speaker 1>one phoneme. So for instance, cat has many neighbors like

0:31:25.400 --> 0:31:28.400
<v Speaker 1>sad or bad or bat or can or cow and

0:31:28.480 --> 0:31:33.959
<v Speaker 1>so on. Or neighbors of the word urge are earth

0:31:34.160 --> 0:31:38.120
<v Speaker 1>and earl and edge and urn and age. You just

0:31:38.200 --> 0:31:40.240
<v Speaker 1>change one sound in the word and you're at some

0:31:40.360 --> 0:31:43.720
<v Speaker 1>other new word. So some words have lots of neighbors,

0:31:44.120 --> 0:31:49.440
<v Speaker 1>but others don't. And so neighborhood density measures how similar

0:31:49.560 --> 0:31:53.680
<v Speaker 1>sounding a word is to other words, and we find

0:31:53.720 --> 0:31:57.520
<v Speaker 1>the same result here. The nonsense words, on average, had

0:31:57.560 --> 0:32:00.880
<v Speaker 1>the fewest neighbors. They had the fewest words that sounded

0:32:00.960 --> 0:32:04.720
<v Speaker 1>like them, and people hated these the most. Then you

0:32:04.800 --> 0:32:07.960
<v Speaker 1>had the aversive words like moist, and they had some

0:32:08.280 --> 0:32:12.200
<v Speaker 1>more neighbors to them. And finally, the control words had

0:32:12.480 --> 0:32:16.680
<v Speaker 1>the most neighbors. So if you're a word with fewer

0:32:16.800 --> 0:32:21.600
<v Speaker 1>other words that sound like you, you are more unfamiliar.

0:32:21.720 --> 0:32:26.080
<v Speaker 1>And again this suggests that unfamiliarity plays a key part

0:32:26.480 --> 0:32:33.840
<v Speaker 1>in the experience of aversion. So words with improbable combinations

0:32:33.880 --> 0:32:37.680
<v Speaker 1>of sounds that sounded less like other English words, these

0:32:37.720 --> 0:32:44.120
<v Speaker 1>were more likely to be unpleasant. Unfamiliarity correlates with aversion.

0:32:45.280 --> 0:32:49.920
<v Speaker 1>Now just to wrap this study. I suspect that linguistic familiarity,

0:32:50.040 --> 0:32:53.680
<v Speaker 1>like we explored here, is just one important piece of

0:32:53.720 --> 0:32:57.200
<v Speaker 1>the word aversion puzzle, because there's a lot of variability

0:32:57.240 --> 0:33:00.920
<v Speaker 1>in the data that's not explained fully by familiarity. For

0:33:01.040 --> 0:33:04.920
<v Speaker 1>a full explanation, we'd almost certainly have to include the

0:33:04.960 --> 0:33:07.720
<v Speaker 1>meaning of the word as well as something about an

0:33:07.760 --> 0:33:12.600
<v Speaker 1>individual's prior experience of that particular word. So there's still

0:33:12.640 --> 0:33:15.640
<v Speaker 1>plenty to do in terms of understanding who has this

0:33:15.720 --> 0:33:19.680
<v Speaker 1>and who doesn't, and surveying speakers in other languages beyond

0:33:19.720 --> 0:33:23.239
<v Speaker 1>English to understand about their word a versions. Just as

0:33:23.280 --> 0:33:26.960
<v Speaker 1>an example, one Spanish speaker I saw said she has

0:33:27.000 --> 0:33:30.840
<v Speaker 1>a horrible aversion to words like socopar, which means to

0:33:30.920 --> 0:33:34.200
<v Speaker 1>cover up. She can't stand the word. So we can

0:33:34.280 --> 0:33:37.800
<v Speaker 1>find these same principles across languages, and we need to

0:33:37.880 --> 0:33:40.440
<v Speaker 1>understand what that tells us. And I think there are

0:33:40.440 --> 0:33:44.280
<v Speaker 1>other questions too, like is it only negative emotions? Maybe

0:33:44.360 --> 0:33:48.040
<v Speaker 1>certain words trigger really positive emotions, but maybe for some

0:33:48.160 --> 0:33:51.240
<v Speaker 1>reason that doesn't get talked about as much. And finally,

0:33:51.280 --> 0:33:54.120
<v Speaker 1>my lab and others have been searching for the genes

0:33:54.160 --> 0:33:58.400
<v Speaker 1>that underpins synesthesia and the signatures in the brain of

0:33:58.440 --> 0:34:01.920
<v Speaker 1>this crosstalk. The question is what do these look like

0:34:02.120 --> 0:34:05.320
<v Speaker 1>for word aversion? But what we can already see is

0:34:05.360 --> 0:34:09.360
<v Speaker 1>that in some people, certain sounds trigger emotions, and this

0:34:09.480 --> 0:34:12.560
<v Speaker 1>seems to be another form of synesthesia, where there's a

0:34:12.719 --> 0:34:17.040
<v Speaker 1>blending between regions of the brain that are normally a

0:34:17.080 --> 0:34:20.000
<v Speaker 1>little more separate. Now, as I noted at the beginning,

0:34:20.080 --> 0:34:25.480
<v Speaker 1>only some fraction of the population experiences word aversion, and

0:34:25.520 --> 0:34:28.120
<v Speaker 1>it's hard to estimate that percentage until you do a

0:34:28.480 --> 0:34:32.960
<v Speaker 1>careful population study, let's say, testing ten thousand people about it.

0:34:33.480 --> 0:34:36.160
<v Speaker 1>But I want to flag something important here, which is

0:34:36.160 --> 0:34:40.480
<v Speaker 1>that doing a population study, say on the internet, isn't

0:34:40.520 --> 0:34:44.560
<v Speaker 1>totally straightforward, and it has to be done carefully because

0:34:45.200 --> 0:34:49.919
<v Speaker 1>people often confuse word aversion for whatever their own pet

0:34:49.920 --> 0:34:52.839
<v Speaker 1>peeves are, like what we discussed earlier, what words they

0:34:52.920 --> 0:34:58.040
<v Speaker 1>find overused or used mistakenly, or a word that's elitist

0:34:58.160 --> 0:35:04.040
<v Speaker 1>or patronizing or whatever. Now, why might people confuse these

0:35:04.120 --> 0:35:08.960
<v Speaker 1>things with word aversion, Because, as I've discussed throughout the

0:35:09.000 --> 0:35:13.680
<v Speaker 1>Inner Cosmos podcast, it's often really hard to imagine what

0:35:13.880 --> 0:35:17.560
<v Speaker 1>it is like to be in someone else's head. And

0:35:17.640 --> 0:35:21.279
<v Speaker 1>if you don't know that experience can be different for

0:35:21.360 --> 0:35:27.440
<v Speaker 1>different people. It's easy to mistakenly believe that everyone must

0:35:27.680 --> 0:35:31.319
<v Speaker 1>be having the same experience that you're having on the inside,

0:35:31.920 --> 0:35:36.360
<v Speaker 1>and so we interpret new information by shoving it into

0:35:36.360 --> 0:35:38.480
<v Speaker 1>our own model of the world, even when it doesn't

0:35:38.520 --> 0:35:42.520
<v Speaker 1>quite fit. In other words, someone tells you that they

0:35:42.560 --> 0:35:45.680
<v Speaker 1>feel a certain way, and you say, I know exactly

0:35:45.680 --> 0:35:48.279
<v Speaker 1>how you feel. Well, you may or may not. You

0:35:48.320 --> 0:35:52.160
<v Speaker 1>can only interpret their story through the lens of your

0:35:52.200 --> 0:35:57.200
<v Speaker 1>own experience. So when the study of word aversion first began,

0:35:57.280 --> 0:35:59.439
<v Speaker 1>it took a lot of effort to convince people who

0:35:59.440 --> 0:36:02.200
<v Speaker 1>didn't have word a version that this was a thing.

0:36:02.400 --> 0:36:06.640
<v Speaker 1>Why because they were interpreting the claim through only a

0:36:06.680 --> 0:36:10.040
<v Speaker 1>single perspective on the world. As an example, there was

0:36:10.080 --> 0:36:13.439
<v Speaker 1>a British guy I saw online who didn't experience word

0:36:13.480 --> 0:36:16.760
<v Speaker 1>a version, and so he asserted that this was quote

0:36:17.000 --> 0:36:20.719
<v Speaker 1>an American thing that didn't exist in British English. Well,

0:36:20.840 --> 0:36:24.399
<v Speaker 1>we now know he's incorrect about that. Many Brits have this,

0:36:25.080 --> 0:36:29.759
<v Speaker 1>but he's making the common but fundamental error of assuming

0:36:30.239 --> 0:36:34.640
<v Speaker 1>that because he doesn't experience it, British people in general

0:36:34.680 --> 0:36:38.520
<v Speaker 1>do not. And I stumbled on several comments about this online,

0:36:38.600 --> 0:36:41.440
<v Speaker 1>especially when this all started a decade ago, where people

0:36:41.480 --> 0:36:44.640
<v Speaker 1>would say things like word a version is a quote

0:36:45.160 --> 0:36:48.680
<v Speaker 1>rare and weird neurotic behavior that's being talked about by

0:36:48.880 --> 0:36:52.720
<v Speaker 1>point one percent of women. Because we know these aren't

0:36:52.760 --> 0:36:58.000
<v Speaker 1>the numbers. This is another example of our naive internal models,

0:36:58.040 --> 0:37:00.600
<v Speaker 1>where we tend to assume that if if we don't

0:37:00.640 --> 0:37:04.400
<v Speaker 1>experience something, it's because it doesn't exist and other people

0:37:04.400 --> 0:37:07.280
<v Speaker 1>are just making it up. It's just like I talked

0:37:07.280 --> 0:37:12.920
<v Speaker 1>about in other episodes about synesthesia or how we visualize things,

0:37:12.960 --> 0:37:15.799
<v Speaker 1>like some people imagine a scene like a movie and

0:37:15.880 --> 0:37:18.520
<v Speaker 1>others have no particular image at all in their heads.

0:37:19.280 --> 0:37:23.840
<v Speaker 1>Or take mental illness. For millennia, the approach to mental

0:37:23.880 --> 0:37:27.160
<v Speaker 1>illness was to say, just toughen up, or in other

0:37:27.239 --> 0:37:30.640
<v Speaker 1>cases it was we can torture you until you start

0:37:30.640 --> 0:37:34.800
<v Speaker 1>acting normally. It took literally thousands of years before people

0:37:34.920 --> 0:37:38.800
<v Speaker 1>started to realize that the experience in one person's head

0:37:39.320 --> 0:37:42.920
<v Speaker 1>can be different than the experience in their own and

0:37:43.080 --> 0:37:46.279
<v Speaker 1>what happened through history happens in the course of our

0:37:46.320 --> 0:37:51.359
<v Speaker 1>own lifetime too. A large part of your passage into

0:37:51.520 --> 0:37:55.360
<v Speaker 1>maturity is realizing that people can be quite different on

0:37:55.400 --> 0:38:00.120
<v Speaker 1>the inside and coming to override the assumption that every

0:38:00.120 --> 0:38:04.239
<v Speaker 1>one is having an experience just like yours. So, to

0:38:04.280 --> 0:38:08.959
<v Speaker 1>wrap up today's episode, reality is not one size fits all.

0:38:09.040 --> 0:38:11.920
<v Speaker 1>Two people can listen to the same words, and for

0:38:12.000 --> 0:38:14.840
<v Speaker 1>one it's aversive and for the other it's totally neutral.

0:38:14.880 --> 0:38:18.320
<v Speaker 1>It's just like eating cilantro or the feel of wool

0:38:18.360 --> 0:38:21.600
<v Speaker 1>against your skin. You can have two humans experiencing the

0:38:21.600 --> 0:38:26.319
<v Speaker 1>same event and having very different experiences. The important lesson

0:38:26.360 --> 0:38:28.359
<v Speaker 1>to keep in mind here is that if you are

0:38:28.800 --> 0:38:32.239
<v Speaker 1>only trying to understand your own reality, you're like a

0:38:32.600 --> 0:38:36.759
<v Speaker 1>fish in water trying to describe water. It's impossible to

0:38:36.840 --> 0:38:40.399
<v Speaker 1>describe what water is because you've never seen anything other

0:38:40.480 --> 0:38:43.680
<v Speaker 1>than that. But when you see a different way that

0:38:43.800 --> 0:38:48.600
<v Speaker 1>things can be, that gives you a broader platform from

0:38:48.600 --> 0:38:52.080
<v Speaker 1>which to build theories. And that's one of our deepest

0:38:52.120 --> 0:38:58.160
<v Speaker 1>goals in neuroscience, to understand how the specific microscopic activity

0:38:58.719 --> 0:39:03.680
<v Speaker 1>in your three many pounds of wet, gushy, alien computational

0:39:03.719 --> 0:39:08.120
<v Speaker 1>material maps onto the world that you see and enjoy

0:39:08.160 --> 0:39:12.480
<v Speaker 1>every day, How the unique activity in your head maps

0:39:12.520 --> 0:39:16.200
<v Speaker 1>onto the view that you're looking at right now, the

0:39:16.239 --> 0:39:19.279
<v Speaker 1>feel of your clothes on your skin, the sound of

0:39:19.320 --> 0:39:23.400
<v Speaker 1>my voice in your ear because for each of us,

0:39:23.960 --> 0:39:32.439
<v Speaker 1>reality is a little bit different. Go to Eagleman dot

0:39:32.440 --> 0:39:37.200
<v Speaker 1>com slash podcast for more reading and more information. Send

0:39:37.200 --> 0:39:40.040
<v Speaker 1>me an email at podcasts at eagleman dot com with

0:39:40.239 --> 0:39:43.480
<v Speaker 1>questions or discussion, and I'll be making an episode soon

0:39:43.520 --> 0:39:50.400
<v Speaker 1>in which i address those. Until next time, I'm David Eagleman,

0:39:50.560 --> 0:40:03.160
<v Speaker 1>signing off from the Inner Cosmos assas