Episode Transcript
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USA Salt Lake City Branch. Member FDIC.
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Terms apply. Hi
0:39
Kyle! Hello, how's it going? It's good, how
0:41
are you? Thank you so much for doing this. Of course, I
0:44
love coffee shops. Kyle
0:47
Chica is a staff writer at The New
0:49
Yorker, and we met up in December of
0:51
2023 at a cafe on Manhattan's Lower East Side.
0:55
What's your order? Uh,
0:57
usually a cappuccino. Like, as small
0:59
a cappuccino as possible. Kyle
1:01
has spent a lot of time in coffee
1:03
shops. He's fascinated by them. A thing
1:06
that draws me to coffee shops is
1:08
they're such centers of displays of taste
1:10
and culture. They're almost like multi-sensory art
1:12
museums for the taste of the moment.
1:15
He works in them when he's at home and abroad. And
1:17
around 2015, 2016, he started to notice something about all of
1:19
them. Whenever
1:23
I would travel for work as a freelance journalist,
1:25
I would go to all these different cities around
1:27
the world. And wherever I would
1:29
land, I could always find essentially the same
1:32
cafe. It didn't matter if
1:34
he was in Beijing or Reykjavik, Kyoto
1:36
or Los Angeles, Bali or Brooklyn. The
1:38
places all looked identical. Like
1:41
a place with white subway tiles
1:43
on the walls and plants and
1:46
ceramic planters and reclaimed
1:48
wood furniture, wide windows in
1:50
the front, like storefront windows, maybe a
1:52
marble countertop. And the
1:54
Edison bulb, uncovered Edison
1:57
bulb. If you go to coffee
1:59
shops with any regular... you probably know
2:01
the kind of place Kyle's talking about.
2:03
We were having this conversation in the
2:05
kind of place Kyle's talking about. It's
2:08
minimalist with muted colors and there's good
2:10
Wi-Fi for millennials and zoomers on their
2:12
laptops. There's avocado toast on the menu
2:14
and foamy drinks just ready for their
2:16
photo op. Could always order
2:18
a cappuccino with good latte art. You could get
2:20
a cortado if you wanted. And,
2:23
like, you liked it, right? Yes, I definitely
2:25
liked it. Kyle started
2:27
to think of these places as,
2:29
quote, generic coffee shops. Like,
2:32
oh, look, I'm in another generic
2:34
coffee shop. And no one had told these
2:36
cafes to look the same. There was no,
2:39
like, parent company, like, a Starbucks, to be
2:41
like, you have to look like this. And
2:44
there was, like, I guess I
2:46
would say there was a tipping point at which I
2:48
realized it was weird that they all looked the same
2:51
and that they were all conforming to this one
2:53
standard. It was so odd, he
2:56
figured it would go away. Like, I
2:58
thought that this was a blip,
3:01
essentially. You know, for some reason, this
3:03
was popular right now and it would
3:05
disappear and dissipate and, you know, things
3:07
would go back to how they were
3:09
before. But that is not what
3:11
happened. Then they just kept
3:14
spreading. Like, the aesthetic was spreading its
3:16
tentacles farther and farther. And
3:20
also, it wasn't just coffee shops. This
3:30
is Decoder Ring. I'm Willa Paskin. The
3:33
saminess of coffee shops all over the world
3:35
was so confounding to Kyle Cheka that it
3:37
sent him down a rabbit hole. One so
3:39
deep that it resulted in him writing a
3:41
book called Filter World, How
3:44
Algorithms Are Flattening Culture. It's
3:46
about how the internet is shaping our taste
3:49
in coffee shops and
3:51
also way more than that. In
3:53
today's episode, Kyle's gonna walk us through
3:55
the recent history of the cafe to
3:57
help us see how digital behavior is...
4:00
altering a physical space hundreds
4:02
of years older than the internet
4:04
itself, and how those changes
4:07
are happening everywhere. It's
4:09
just easier to see them when they're
4:11
spelled out in latte art. So
4:14
today on Decodering, why do
4:16
so many coffee shops look the
4:18
same? Apple
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open a high yield savings account. Apply
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by Goldman Sachs Bank USA Salt Lake
5:06
City branch. Member FDIC. Terms
5:08
apply. Coffee
5:13
houses are old. The first ones I
5:15
thought to have appeared in the 15th
5:17
century during the Ottoman Empire. And they've
5:19
had and continue to have a robust
5:21
place in many countries and cultures. But
5:24
in America, give or take a smattering
5:26
of cafes and scenes in urban bohemias
5:28
and college towns, there has
5:31
not historically been a vibrant
5:33
coffee culture. And
5:42
then something changed. Our
5:47
well-caffeinated guide, Kyle Chica again.
5:57
In the early 1980s, Howard Schultz, on his
5:59
way to becoming the CEO of
6:01
Starbucks, visited Milan and realized
6:03
espresso-based coffee drinks might do great
6:06
in America. By the
6:08
1990s, the Seattle-based company was expanding massively,
6:10
going from 84 to 2,500 stores
6:14
across the country, including in
6:16
Connecticut. It felt like a form
6:18
of progress because there was so few
6:21
coffee shops or cafe culture
6:24
examples before Starbucks. This
6:27
made oversized armchairs and Italian-style coffee
6:29
a bedrock possibility of American life
6:31
for the first time, a cafe
6:34
experience as available in the suburbs as
6:36
the city, as omnipresent
6:38
as gas stations. But
6:41
at the start, much, much
6:43
cooler. The
6:49
curmudgeon of Seinfeld famously fueled up
6:51
on black coffee in a diner, but
6:53
even they couldn't resist the siren song
6:55
of the cafe latte. Seinfeld
7:02
was far from the only piece of pop
7:04
culture to observe this strange
7:07
new phenomenon of people
7:09
becoming Starbucks customers.
7:20
In 1998, when You've Got Mail came
7:23
out, Starbucks was still such a notable
7:25
phenomenon, clever little observations about it could
7:27
go into your love letter. When
7:48
Americans fell for tall decaf cappuccinos,
7:50
it also led to a boom
7:52
in independent local coffee shops, places
7:55
that did not share some corporate
7:57
master plan. to
8:00
think about the other kinds of coffee shop
8:02
spaces that existed even in the 90s. There's
8:06
diners or a college coffee
8:08
shop with really gross couches.
8:11
And then there's just more independent coffee
8:14
shops where things looked different
8:16
in every single one. Yeah. I
8:19
think it was local. It was much
8:21
more localized in that way. You would have
8:23
work from local artists on the walls that
8:26
was often not very good. And then
8:28
there's the Friends Cafe, where they feel like they go out of
8:30
chairs with like velvet, like
8:32
high tops with velvet on
8:34
them. Upholstery. There were people
8:36
making design choices that
8:39
were not all identical.
8:43
I don't want to overstate the glory of the 1990s or 2000s
8:45
coffee shop. The
8:48
couches could be rank. The
8:50
lighting could be dim. The coffee could
8:53
be burnt. And the food
8:55
could come with a lot of sprouts. But
8:57
if you went to one in another state, let
9:00
alone in another country, it would have been weird
9:02
for it to be exactly like
9:04
your local spot. And
9:06
I know that because I thought it was weird.
9:10
I don't travel nearly as much
9:12
as Kyle's, but I visited Nashville
9:14
and I remember going into a
9:16
coffee shop, hip, minimalist, serious about
9:18
the beans and the cappuccinos, thinking
9:21
I've been in a cafe exactly
9:24
like this. And
9:26
then cafes exactly like this started
9:28
to be most of the cafes
9:30
around. I never
9:33
did anything with this observation. But
9:35
Kyle, he had to figure out what was
9:37
going on. Why
9:40
and how did these funky,
9:42
unique, not entirely reliable, occasionally
9:45
unkempt coffee shops converge?
9:48
The generic coffee shop, I think, is
9:50
a bit like my Moby Dick or
9:52
something. It's like the
9:54
idea I've been chasing in a lot of
9:56
writing. happened
10:00
to coffee shops couldn't just be
10:02
found inside of coffee shops. Instead,
10:05
it was all caught up with a phenomenon
10:07
that seems really different. Over
10:09
the course of the 90s,
10:11
you saw the invention and
10:13
development of the proto-mainstream internet.
10:15
I mean, what is internet
10:17
anyway? Internet
10:19
is that massive computer network, the
10:22
one that's becoming really big now.
10:25
At first glance, the only thing the internet
10:27
and cafes seem to share is that in
10:29
America, they started booming at the same time.
10:32
But that's not a coincidence. Before the
10:34
internet, there was only so much work you could
10:36
do outside an office. After the
10:38
internet, there was quite a bit you could do
10:40
outside the office, so long as you had a space
10:42
to do it. Cyber cafes and
10:45
coffee spots ballooned by providing
10:47
that space, giving people a
10:49
well-caffeinated location to plink away
10:51
on their laptops. And
10:53
there was a tremendous amount of optimism about
10:55
what you could do with all that plinking.
10:58
The internet seemed like the fastest, easiest way
11:00
to discover all the things you might like
11:03
that had ever existed. And you
11:05
could sort through it all. Even
11:07
back then, even in the mid-90s, there
11:10
was the sense that there's too
11:12
much information online. At
11:14
a time when there were only, say, hundreds
11:16
of thousands of websites, people were
11:19
already like, oh shit, oh
11:21
no, this is going to be too
11:23
much, we're going to have too much content. So
11:26
researchers, coders, hobbyists, and companies
11:28
started developing tools to help early
11:30
internet users deal with this flood
11:33
of information, deploying little bits of
11:35
computer code, which we now know
11:37
by another name. Algorithms.
11:40
An algorithm is just an equation.
11:42
It's a way to sort
11:44
out one thing from another. So
11:47
in this moment in the mid-90s, they
11:49
were starting to turn to algorithms and
11:51
these kind of automated systems to sort
11:53
the content of the internet and deliver
11:55
what was most relevant to you.
11:58
These algorithms did some really straightforward things. things
12:00
like sorting emails based on who sent them
12:02
to surface the ones likely to be most
12:04
important to you, or helping you to
12:06
find websites that reflected what you were actually
12:08
searching for, which was Google's great innovation.
12:11
Algorithms could filter out what you didn't
12:13
need to show you what you wanted
12:15
to see. And as helpful
12:17
as algorithms could be, you were still
12:20
deciding what that was. Like
12:23
in the mid 2000s when I was
12:25
spending a lot of time writing and
12:27
procrastinating in a coffee shop that turned
12:29
into a bar at night, being on
12:31
the internet meant reading blogs whose URLs
12:33
I had typed into my browser and
12:35
listening to songs that I had personally
12:37
loaded into my iTunes. But
12:39
a few years later, that would begin
12:42
to change. Circa, early
12:45
2010s, when Twitter is in an early
12:47
phase, Instagram is just getting popular. I
12:50
don't think we knew that they were going to take
12:52
over our lives in such a way. Social
12:55
media platforms initially seemed like fun,
12:57
convenient clearinghouses for content and connection,
12:59
a more streamlined way to be
13:02
online, a simpler way to waste
13:04
time at a cafe. And
13:06
of all the things social media platforms
13:09
were predicted to do in these early
13:11
days, changing the decor
13:13
of the place you were procrastinating
13:15
in was probably low on the
13:17
list. But when we come
13:20
back, we're going to explore how
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savings will vary. So
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when did you see the generic coffee shop aesthetic like
15:54
really take off? So I think in
15:56
the early, early 20 times more and more culture
15:58
was moving online like our consumption of
16:01
culture was increasingly flowing through
16:03
Twitter and Instagram and Tumblr
16:05
and YouTube. But
16:07
then I really point the kind of acceleration of
16:10
this culture to 2015-2016, which is when all of
16:12
the feeds of YouTube, of Instagram, of Facebook
16:20
kind of make the switch to becoming
16:22
more algorithmic. So rather than just
16:25
having a chronological list of like
16:28
every Facebook update that happened over the
16:30
past day, the feeds would start recommending
16:32
content to you based on what you
16:34
had already engaged with. Kyle
16:36
thinks this is an extremely important transition
16:38
because it changed the whole way
16:40
we're oriented towards the internet. Instead
16:43
of going out and selecting what we
16:45
want to see, now the
16:47
platform decides for us. The
16:50
message of algorithmic feeds of social
16:52
networks was like, we will give
16:54
you what you like. We
16:56
will approximate your desires and tastes
16:58
and preferences and like
17:01
customize and personalize something for you. Like
17:03
the TikTok feed is literally called for
17:05
you. And of course they're
17:07
not doing this to be nice. They're doing
17:09
it so we'll stay on the platform for
17:11
as long as possible. Over
17:13
the years a lot of attention has
17:15
been paid to the way engagement is
17:18
driven by outrage, by things that provoke
17:20
us, that we really mind. But Kyle
17:22
thinks that shortchange is something even more
17:24
common. How engagement is driven
17:26
by mindlessness. I mean
17:28
I think there's like different forms
17:31
of mindlessness. Like one
17:34
form of mindlessness is the ambient
17:36
lo-fi chill hip-hop beats, which
17:38
is like you're pointedly not
17:40
supposed to pay attention to them. You
17:43
are doing some other task or using
17:45
them as backgrounds. So it's like an
17:47
unobtrusive, you know, wash of sounds that
17:49
you can live on top of essentially.
17:51
And then there's a
17:53
different quality where it's like the mindlessness
17:56
of paying attention. Like you're
17:58
so immersed in paying attention. to
18:01
an Instagram Reel or a TikTok video
18:03
that you have no other thoughts in
18:05
your mind. Mindlessness is
18:07
the bread and butter of
18:09
social media platforms. There's the
18:11
fugue state when you're trapped
18:13
in the infinite scroll on
18:15
the one hand and the
18:17
ignorable perpetual Spotify backing track
18:20
on the other. And those
18:22
are our punctuating exceptions. In
18:24
general, the platforms don't wanna
18:26
serve you anything that
18:28
will snap you out of either of
18:30
these states. Because the
18:32
ultimate goal of all these platforms is just to
18:35
keep you looking at the
18:37
stuff or listening to the stuff,
18:39
it's guiding you toward the most
18:41
bland thing or the least defensive
18:43
thing or the most
18:45
unobtrusive thing. In writing
18:47
his book, Kyle talked to a musician named
18:50
Damon Krakowski, who has firsthand experience
18:52
with the platform's preference for the
18:54
innocuous. Damon was a drummer
18:56
in the indie dream pop band, Galaxy 500. They
19:00
put out some influential albums in the late 1980s and
19:02
very early 90s. They were minimal,
19:05
drenched in reverb and sounded like nobody else
19:07
at the time. But you
19:09
wouldn't know that based on the songs Spotify
19:11
recommends. Damon sounds
19:14
that Spotify would only promote
19:17
the most generic tracks by that dance.
19:20
Spotify algorithm somehow fixated on
19:22
this track Strange. Strange
19:28
had been a hit single. There had been no
19:31
music video for it. It didn't sound that much
19:33
like Galaxy 500. And
19:35
that's exactly why the algorithm pushed
19:37
it. It was because it sounded
19:39
like a generic 80s, 90s rock
19:43
bands track. And that was an
19:45
ironic conscious choice that the band had made at
19:48
the time to kind of be
19:50
like, isn't it funny we're playing a generic song? But
19:52
then Spotify runs with it and it's
19:54
like, oh wow, this is so effective
19:57
as generic music that everyone should listen
19:59
to it. Right, and the thing is
20:01
also that when you do listen to that
20:03
generic thing, then the algorithm just thinks you
20:05
want more generic things, and
20:07
it just keeps ping-ponging back and forth
20:09
until we're just in this sort of
20:12
beige, blonde wood, lo-fi
20:14
beats, generic world. Yeah, it's just
20:16
like, of course it becomes narrower
20:19
and more homogenized. All we're
20:21
being exposed to is what
20:23
the algorithmic system is showing us. You
20:27
can probably see the effects of all of
20:29
this for yourself. It's hard
20:31
to get Spotify to play something that
20:33
sounds different than what you've listened to
20:35
before. Netflix only suggests
20:37
shows and movies and genres
20:40
you've already watched. Your
20:42
TikTok for You page has you
20:44
pegged, and Instagram is awash in
20:46
ads for stuff you've already bought.
20:49
But the algorithmic feeds aren't just
20:51
serving blandness online. They're
20:53
altering our physical world, too. And
20:57
when we return, we head back to
20:59
the perfect place to see it happen. Can
21:02
I have a cappuccino? With
21:04
regular milk. Small. All
21:07
podcasts should be recorded in coffee shops.
21:16
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use it to buy the new Apple Vision
21:23
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21:28
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21:31
open a high-yield savings account. Apply
21:33
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available to Apple Card owners subject to
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eligibility. Apple Card in savings
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Kyle had a theory about the generic coffee
22:24
shop. Over time, I came
22:27
to the conclusion that what was
22:29
behind the aesthetic and what was
22:31
behind the homogeneity was digital platforms.
22:34
But I still wasn't sure that I was totally
22:36
right. I wanted to kind of report out my
22:38
hunches. So he spoke with
22:40
cafe owners all over the world about
22:42
their shops and what they looked like
22:45
and what their customers wanted and how
22:47
they advertised and on and on. What
22:49
he found is that going into the
22:51
2000s, as the internet was starting to
22:53
spread, you still had distinctive local coffee
22:55
shop styles all around the world. If
22:58
you went to Scandinavia, you'd find a
23:00
minimalist blonde wood mid-century cozy aesthetic. Australia
23:02
created its own cafe culture featuring flat
23:04
whites and avocado toast. And
23:06
there was the steampunk inflected Edison bulbs
23:08
and raw wood decor of Brooklyn. And
23:11
the internet made it easy for the people
23:13
in these scenes to discover one another. So
23:16
I think first it created a web. Instagram
23:19
early on was this way that all
23:22
these different coffee shop owners connected to
23:24
each other so they could suddenly find
23:26
each other and see how, you know,
23:28
the barista in Berlin was making his
23:30
latte art versus the guy in Sydney.
23:33
It was a classic cultural exchange
23:36
happening over great distances at hyperspeed.
23:38
Cafe owners were globalizing, borrowing
23:40
from their faraway colleagues. But
23:43
once the algorithmic feed switched
23:45
on, baristas discovered that customer
23:48
demands were changing too. As
23:51
this community of coffee shop
23:53
creators came together, consumers
23:55
also started expecting similar
23:58
things from each one. Like,
24:01
there's a kind of singular
24:03
cappuccino format that
24:05
the consumer who's like very Instagram-savvy comes
24:07
to expect. Did they like feel like
24:10
people were coming in and being like,
24:12
do you have a flat white? Yes,
24:14
absolutely. These things very quickly became an
24:17
expectation of every coffee shop. Like
24:20
you kind of went from never knowing
24:22
avocado toast existed to it
24:24
being the most universal millennial-coated
24:26
food item that has ever
24:28
existed in the space of
24:30
like three years. So cafes
24:32
were feeling pressure to have the same menu,
24:35
but they were also feeling pressure to
24:37
look a certain way in real
24:39
life, but even more importantly,
24:42
online. As I talked to the cafe
24:44
owners, there's like certain ways in which
24:46
they have to conform. So
24:49
the first digital space that they have to conform
24:51
to is Google. Like they have
24:54
to be findable on Google search. They have
24:56
to make sure the photos on their Google
24:58
maps listing are good and like look nice.
25:01
And then a lot of them talked
25:03
about this pressure to be on
25:05
Instagram and post the top-down snapshots
25:07
of cappuccinos and latte art and
25:09
the nice natural light. If they
25:11
didn't do it, what happened?
25:14
One, they were gonna get far fewer new
25:17
visitors, like particular for
25:19
tourists traveling through some of these
25:21
cities, they weren't gonna like catch
25:23
their attention as successfully if
25:25
they didn't have the good photos and
25:27
the high star rating. The
25:29
threat of it too, I think is like failing
25:32
to stay in people's minds almost. And it
25:34
meant that they just had to like talk
25:37
the Instagram talk. You might
25:40
be listening to this and thinking, okay,
25:42
fine. Your business has to be
25:44
on Google maps. Maybe for whatever
25:46
reason, you even decided it has to be
25:49
on Instagram, but what makes it so it
25:51
has to be on Google or
25:53
Instagram or Yelp with the
25:55
exact same aesthetic as everyone
25:57
else. Why couldn't you do... something
26:00
different. Why do you have to do
26:02
minimalism and fiber art and cold brew?
26:05
Why can't you just do your own thing?
26:08
And you could. But there are risks.
26:11
One is that a platform like Instagram might
26:13
not surface your posts. The
26:15
economic incentives of algorithmic
26:18
feeds is like you will only get
26:20
attention and therefore money if you conform
26:22
to the most successful trips of this
26:24
platform. But the other maybe
26:27
even bigger risk is that you might
26:29
turn off your potential customers. The people
26:31
on the other side of the algorithm
26:34
looking for a coffee shop or
26:36
a restaurant or an Airbnb or
26:38
a piece of furniture or a
26:40
wall hanging. They'll be so used
26:42
to a particular aesthetic to certain
26:44
signifiers of quality and style. They
26:46
might ignore you if you don't
26:48
display them. And that
26:51
includes a customer like Kyle. Yeah,
26:53
I feel like I'm guilty of using
26:56
this to judge places as well. I
26:58
still prefer that generic aesthetic. I'm like,
27:00
oh man, this place doesn't have subway
27:03
tiles. This must suck. And
27:06
this is the really confounding thing about
27:08
the rise of the generic space. The
27:10
reason Kyle's been chasing it down like
27:12
Moby Dick. It's a
27:14
window into the homogenizing effect
27:16
algorithmic feeds are having on
27:18
culture experiences and locations. Yes.
27:21
But it's also a window into
27:23
the homogenizing effect they're having on
27:25
us. So
27:29
I told you about how Kyle's obsession with
27:31
the generic coffee shop started when he was
27:33
traveling all over the world as a young
27:35
journalist on assignment. And he had a ritual
27:38
whenever he would arrive in a new place. I
27:41
would open Yelp or Google Maps,
27:44
and I would search in the little search bar
27:46
hipster coffee shop that knew exactly what
27:48
I was talking about. And
27:50
it could just deliver the results of these
27:53
generic minimalist coffee shops that I was looking for.
27:57
He liked the places the algorithm found
27:59
for him. They made coffee
28:01
he liked. They had good Wi-Fi.
28:03
He could do work there. He
28:05
felt comfortable in them. But
28:07
over time, his feelings about them got
28:10
more complicated. I was both
28:12
looking for these cafes, and I liked
28:14
them and enjoyed being in them, and
28:16
I was grossed out. I
28:18
was both grossed out at the generic
28:20
quality of the design, and I became
28:23
increasingly grossed out at myself for
28:26
gravitating toward these spaces and maybe
28:28
enjoying them as much as I
28:30
did. I mean, I think it's
28:32
also so interesting is that obviously those spaces
28:34
are so uncomfortable
28:38
to so many people who
28:40
aren't affluent
28:42
millennials with their Apple
28:45
laptops. For sure. I think people often
28:47
describe them as oppressive because they feel
28:49
like they can't fit within it. There's
28:51
no tolerance for humanity
28:54
or diversity or difference. I'm
28:56
impugning myself when I say
28:58
this too. I think, holistically,
29:01
actually, it's not different than McDonald's.
29:03
Everyone's like, America,
29:06
we're exporting McDonald's to Paris and
29:08
Rome and China and all these
29:10
places that have their own culture.
29:12
It's not different. It's
29:15
just like coffee shops because they
29:17
have a different class signifier. They
29:19
resonate in a different way, but it's
29:21
just about going somewhere
29:23
else and just wanting
29:25
the same thing. Somehow, that's been
29:27
dressed up as being sophisticated. I
29:30
mean, I had this literal experience in
29:32
Paris where there's tons of
29:34
beautiful Parisian cafes that are historic,
29:36
and yet you go and get
29:38
a cappuccino and you're like, oh,
29:40
the espresso is dark roast and
29:42
burnt tasting and the foam is
29:45
too foamy. Clearly, this French cappuccino
29:47
is not what I wanted.
29:49
Then three blocks down the
29:51
way, there is a Parisian
29:53
cafe that was opened by
29:55
a bunch of Australians. It
29:58
has the perfect microphone cap and and
30:00
the ceramic vessels and the avocado toast.
30:03
I'm like, which ones did I choose
30:05
most often? Obviously the Australian
30:07
one, because it's like authentic
30:10
to my taste. This
30:12
is key. It's authentic
30:14
to Kyle's taste, or
30:17
rather the version of his
30:19
taste that he and
30:21
all the rest of us
30:23
have allowed the algorithms to help
30:25
mold. Ultimately, my
30:28
underlying theory is that
30:31
in the same way that cafes
30:33
became generic, or we've seen the
30:35
homogenization of cultural forums, like ourselves
30:37
are becoming more generic as well.
30:40
Like we are being flattened.
30:42
We are being made to
30:45
be more similar and less individual and
30:47
less interesting in a way because
30:50
of this hyper-globalization. The
30:52
generic coffee shop isn't just influenced
30:54
by the internet. It's become a
30:56
microcosm of it. But it's one you
30:58
can actually see and touch and smell, and
31:01
so it makes the homogenization happening there in
31:04
all its stultification, as plain
31:06
as the macchiato in front of
31:08
your face. And I mean,
31:10
I think the great problem with
31:12
the situation is that unusualness and
31:14
difference and like surprise and like
31:17
discomfort are core to what makes
31:19
culture valuable. And us interesting. Yes.
31:23
We are not interesting people when we
31:25
are just like going to the Australian
31:27
derived coffee shop. We
31:29
had this fantasy that being exposed to
31:32
everything online would make us more urbane
31:34
and intelligent, open-minded and even open-hearted. That
31:36
having the world at our fingertips is
31:38
something we would use to its fullest
31:41
advantage. A fantasy that we would want
31:43
to hook up to the mainframe like
31:45
Neo and the Matrix and let knowledge
31:48
just gush into us. This
31:50
was ignoring all the scungy, dark, vile
31:52
stuff that would have gushed in too,
31:55
but it was also ignoring the truth
31:58
that we can be satisfied. specified with
32:01
so much less. I
32:04
guess I'm curious, do you feel totally alienated from
32:06
the coffee shop experience? I mean, coffee
32:08
shops are a large part of my
32:10
life, I would say. I'm really committed
32:12
to my coffee shop going. So
32:15
I still enjoy those spaces and I still
32:17
like, that defines my
32:19
aesthetic of what a good coffee shop
32:21
is sometimes. And I still look for
32:23
the subway tiles. I still want
32:26
the latte art. I
32:28
love a good ceramic bowl for
32:30
my cappuccino. It almost feels like
32:32
I've seen outside of the matrix, but I'm still
32:34
happy in it. You're the guy who's like, I
32:36
just want a steak, I don't care that it's
32:39
not real. It's
32:43
really hard to buck your taste, however
32:46
it got made. That's the
32:48
latte art. You did it underneath the cap,
32:50
it's a heart. So pretty.
32:53
Like a beautiful surprise. This
32:59
is Decoder Ring. I'm Willa Paskin. If
33:02
you have any cultural mysteries you want
33:04
us to decode, please email us at
33:06
decoderring at slate.com. This
33:09
episode was written by me and produced
33:11
by me and Katie Shepard. Decoder Ring
33:14
is produced by me, Katie Shepard and
33:16
Evan Chung. Derek John is executive producer.
33:18
Merit Jacob is senior technical director. I'd
33:21
also like to thank Ben Frisch and Patrick Ford.
33:24
And I'd also like to direct you to go by
33:26
Kyle Chica's book, Filterworld, How Algorithms
33:28
Are Flattening Culture. What we
33:31
talked about here is just a small part
33:33
of the book which dives into these ideas
33:35
in so much more depth and breadth. Go
33:38
get it and then spiral about your taste
33:40
for weeks, but like in a productive
33:42
and good way. If
33:45
you haven't yet, please subscribe and rate our
33:47
Feed and Apple Podcasts or wherever you get
33:49
your podcasts. And even better, tell
33:51
your friends. If you're a fan of
33:53
the show, I'd also love for you to sign up
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for Slate Plus. Slate Plus members get to listen to
33:58
Decoder Ring without any ads and your support is crucial
34:00
to our work. So go to slayt.com
34:07
slash Decoder Plus to join Slayt Plus today. That's all for now. See you
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