April 26, 2024 • 27 mins
Jordan Klepper and Ronny Chieng dive into Trump’s double trials, as his lawyers argue to the Supreme Court that he should have complete immunity and David Pecker of “The Enquirer” airs out his dirty laundry. As protests for Gaza ramp up on college campuses, the de-escalation effort doesn't seem to be...de-escalating. Jordan and Ronny break down the police crackdown, as well as politicians like Mike Johnson and Benjamin Netanyahu weighing in. Plus, Kyle Chayka, New Yorker staff writer and author of “Filterworld: How Algorithms Flattened Culture” sits down with Jordan and Ronny to discuss the effects of algorithm-based suggestions on how we experience taste and culture.
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Speaker 1 (00:01):
You're listening to Comedy Central.
Speaker 2 (00:06):
From the most trusted journalists at Comedy Central. It's America's
only source for news.
Speaker 3 (00:12):
It's The Daily Tube with your host Jordan Clipper and
Roddie Jay.
Speaker 4 (00:36):
Welcome to Daily Trub Jordan Clipper and I'm Roy Shang.
We got so much to talk about tonight. College campuses
are protesting Donald Trump's enemies are surrendering, and the Supreme
Court wonders if the President can kill you for fun.
Speaker 5 (00:49):
But first, Donald Trump is still on trial, so let's
catch up with another installment of America's most tremendously wanted.
Speaker 1 (01:02):
The whole thing is a scam.
Speaker 5 (01:07):
Today it was a big day for Donald Trump versus
Johnny Law, with the former president fighting the man at
every level of the legal system.
Speaker 4 (01:14):
But things actually started off for you. Good for Trump.
After months of calling him unfit for office, Trump's former
Attorney General Bill bas said he's voting for him anyway,
and Trump responded with as much grace as you would expect.
Speaker 6 (01:29):
So the former president posting a truth social things quote, Wow,
former Attorney General Bill Barr has just endorsed me for president,
despite the fact that I called him weak, slow moving lethargic, gutless,
and lazy.
Speaker 7 (01:41):
Based on the fact that I.
Speaker 6 (01:42):
Greatly appreciate his wholehearted endorsement, I am removing the word
lethargic from my statement.
Speaker 7 (01:47):
Thank you, Bill.
Speaker 8 (01:50):
Donald Holm. Donald Trump is the king of pettiness.
Speaker 5 (01:58):
I am positive at an alt universe, Trump was a
sorority president, just dripping with Shane, like, Wow, Bell, I
love that bikini.
Speaker 8 (02:06):
You're so brave to be wearing that. You go girl.
Speaker 4 (02:10):
I mean, it does look like Trump hates Trump ask
kisses as much as the rest of us do, because
he'll be like, kiss the ring, and then when they do,
he's like, I can't believe you kiss the ring, you
little bitch.
Speaker 5 (02:23):
So Trump was riding that sick burn high this morning,
all the way into court, where he was confronted with
testimony from the head of the National Enquirer, who wasn't
afraid to spill some tea.
Speaker 9 (02:34):
Publisher David Pecker returned to the witness stand this morning
and explained how we engineered a deal to buy the
silence of Karen McDougall, a playboy model who claims she
had an affair with Trump. Pecker claims he had a
deal with Trump and his attorney, Michael Cullen, to be
on the lookout for damaging stories about Trump.
Speaker 10 (02:52):
He would buy stories that were unflattering to Trump, and
then he would kill them to make sure they didn't
become public.
Speaker 8 (02:59):
Was today bad day for Donald Trump?
Speaker 11 (03:02):
He look I can't read his mind, but he looked
pretty miserable.
Speaker 5 (03:07):
Oh really, he looked miserable. He's not one of those
jovial criminal defendants coming to cart with a smile on
his face and a sprig at a step as he
stares down a future full of prison gangs, public pooping,
and shoddy heroin balloon's migrating up his colon Cocker.
Speaker 4 (03:25):
But yes, David Pecker pun intended, testified that he brought
up and buried negative stories about Donald Trump to help
him win the twenty sixteen election, Which sounds crazy, but
you gotta remember this was way back in twenty sixteen
when negative stories were a bad thing. Now we know
that every new scandal just cancels out a different scandal
(03:48):
until you've become president. But because this is Donald Trump,
he wasn't involved in just one court case today. While
he was in New York, his lawyers went in front
of the Supreme Court, arguing that Trump should have complete
legal immunity for anything he did while president, and I
do mean complete immunity.
Speaker 12 (04:06):
If the president decides that his rival is a corrupt
person and he orders the military or orders someone to
assassinate him, is that within his official acts for which
he can get immunity.
Speaker 7 (04:23):
It would depends on the hypothetical.
Speaker 9 (04:25):
But we can see that could well be an official act.
Speaker 4 (04:29):
I object to this guy's voice can mean someone gave
m laws ins or something, but I mean sorry, sorry,
you may continue. How about it?
Speaker 13 (04:39):
If a president orders the military to stage a coup,
I think.
Speaker 4 (04:44):
It would to pass immune.
Speaker 10 (04:45):
I think it would depend on the circumstances where it
was an official act.
Speaker 8 (04:49):
If it were an official act.
Speaker 13 (04:50):
If a president sells nuclear secrets to a foreign adversary,
is that immune.
Speaker 2 (04:55):
Well, I don't know him hypothetical whether or not that
would be an official act.
Speaker 4 (05:00):
Okay, look, can we stop giving Trump ideas? Okay, yeah,
he's listening to this, like, oh, we're selling nuclear secrets.
I should write this down.
Speaker 5 (05:08):
Yeah, it sounded like they were loose pitching Netflix action
thrillers in the room, Like in order to save his nation,
the president must strangle an opponent in a public deathmatch.
Liam Neeson is immune from prosecution.
Speaker 8 (05:26):
Now, very good.
Speaker 1 (05:31):
That's very good.
Speaker 4 (05:31):
Good, very good.
Speaker 5 (05:33):
Now, the Trump legal team doesn't really believe the total
immuniony argument. They're just bringing it up to delay his trials.
It's kind of like when your kid asks for water
at bedtime, and you know they're just trying to delay
bedtime because kids don't need water.
Speaker 4 (05:49):
So I'm pretty sure kids do need water.
Speaker 5 (05:51):
No, you're thinking of plans. The wild thing is that
the Court's conservative majority seems like it's actually going to
accept at least part of Trump's argument.
Speaker 6 (06:02):
By the end of the hearing, the conservative majority seem
to express a desire to create some kind of limited
immunity for official acts for presidents.
Speaker 8 (06:10):
So this is where we're at.
Speaker 5 (06:12):
The conservative justices think Trump should have immunity, the liberal
justices don't.
Speaker 8 (06:18):
How about we meet halfway.
Speaker 5 (06:19):
Instead of complete immunity, presidents get a hall pass of
five crimes that are totally.
Speaker 8 (06:25):
Okay if you have the chance.
Speaker 5 (06:27):
For example, mine would be bribery, insurrection, wire fraud, perjury,
and Lenny Kravitz money laundred.
Speaker 8 (06:34):
I mean money laundred. I got my Hall passes mixed up.
Speaker 4 (06:37):
Yeah, I mean it is kind of crazy. The Supreme
Court might actually make the president immune from the law.
I mean, isn't this America's whole thing is no kings.
I mean, that's why those people threw the tea in
the river. I mean, what a waste they could have
kept all that tea.
Speaker 5 (06:52):
Yeah, that's my main concern as well, Ronnie. With all this,
there is still a presidential race going up. So this morning,
Donald Trump made a campaign stop on his way into court,
and Fox News was there to drink it up.
Speaker 14 (07:07):
Breaking this morning, former President Donald Trump making a surprise
campaign stop in the last hour at a construction site
in Midtown.
Speaker 11 (07:14):
He's taking his time with everyone, talking to people, shaking hands,
taking selfies.
Speaker 7 (07:18):
Look at him with this.
Speaker 11 (07:19):
Man with the hard hat taking a picture, thanking him
for being there, patting his back. He grew up in
New York, grew up in construction on these sites, and
now he's talking to the men and women that build New.
Speaker 7 (07:30):
York, that build all these buildings. He knows a lot
about that.
Speaker 11 (07:33):
He's one of them.
Speaker 5 (07:37):
Wow, he was clearly excited to be on a construction site.
Shake a few hands, pad a few backs show them
some advanced cat calling techniques, you know, the whole nine.
Speaker 4 (07:46):
And those construction workers appeared to really love Trump. Either
that or they showed up with all their unpaid invoices.
So hey, can I get your autograph on this?
Speaker 14 (07:55):
Ya?
Speaker 4 (07:56):
You initial here and here please?
Speaker 5 (07:58):
It's been years now for more Donald Trump's day in
the courts and on the campaign trail. We go down
to the New York Courthouse and Michael Costa and Michael,
you were with Trump this morning at his campaign stop, right, yep, And.
Speaker 15 (08:17):
Once again Trump proved that he is a man of
the people, blue collar workers, union guys.
Speaker 1 (08:24):
Donald J. Trump is one of them.
Speaker 15 (08:26):
Clearly, the J stands for Joe, as in Joe six pack,
average Joe, or Joe lean.
Speaker 4 (08:32):
Because of the adultery, right right, right right, He's an
everyman or a regular person. And what did Trump's lawyers
argue at the Supreme Court today?
Speaker 15 (08:42):
Their argument is quite simple, Ronnie, Donald Trump is not
a regular person.
Speaker 1 (08:47):
He's not some blue collar worker or a union guy.
Donald J.
Speaker 15 (08:53):
Trump is an untouchable, godlike entity who lives above the law.
Speaker 4 (08:57):
Right.
Speaker 15 (08:58):
Clearly, the JAY stands for judicially immune from all prosecution
forever and all time.
Speaker 1 (09:04):
Amen.
Speaker 5 (09:06):
But Michael, how does he square those two? That sounds
totally contradictory.
Speaker 1 (09:11):
Not at all.
Speaker 15 (09:11):
Donny Trump is a guy you can imagine having a
beer with. He's also the guy who can murder the
guy he's having a beer with because the law doesn't
apply to him. George, He's like j Low. Don't be
fooled by the total immunity he's got. He's still Donnie
from the block.
Speaker 1 (09:29):
Also, he's got a great ass.
Speaker 4 (09:31):
Okay, Michael, how is he at all relatable to these
construction guys?
Speaker 1 (09:37):
Easy, Ronnie. Trump speaks the language of the common man.
Speaker 16 (09:41):
Ay, I'm walking here on my way to overthrow the government,
and it's legal what I'm doing under the auspices of
an official act, Dude, Pepperoni.
Speaker 8 (09:55):
So Trump is a regular guy.
Speaker 1 (09:58):
No better than any of us.
Speaker 8 (10:00):
Is totally above the law, better.
Speaker 1 (10:02):
Than any of us.
Speaker 15 (10:03):
And it's probably hard for caviares slurping elitis like yourselves
to understand.
Speaker 1 (10:09):
But Trump is a lot like these construction workers. Think
of him as having a hard.
Speaker 15 (10:15):
Hat that protects him from any US law, and some
safety goggles that shield them from seeing any jail time,
and of course a trusty pair of work boots.
Speaker 5 (10:25):
All right, let me guess the work boots. Let him
trample the constitution?
Speaker 15 (10:29):
No, No, the lift they provide highlights Donald J. Trump's
great ass. Right, Clearly, the J stands for juicy caboosy.
Speaker 8 (10:38):
Michael constant.
Speaker 7 (10:39):
Everyone, we'll come back.
Speaker 8 (10:42):
We'll talk about the latest college friend.
Speaker 7 (10:45):
No, I don't know, if that, I don't know, if
the work well, imagine the daily Joe.
Speaker 5 (11:06):
Let's talk about college, the place you go to learn
and to meet the love of your life until they
get their tenure taken away for having sex.
Speaker 8 (11:14):
With a student.
Speaker 5 (11:16):
But in recent weeks, colleges across the country have become
the site of mass protests against Israel's war in Gazam
and this presents a challenge for the colleges.
Speaker 8 (11:26):
Loud and even.
Speaker 5 (11:26):
Disruptive protests are cherished tradition on campuses and college investments
in Israel are a legitimate issue for students, but at
the same time, there's a real element of anti Semitism
among some protests, and Jewish students have the right to
feel safe at their own schools. So it's a delicate
balance that requires keeping a cool head and listening respectfully,
(11:49):
and above all, the colleges should not escalate the tension.
Speaker 10 (11:53):
Columbia University's president asked the NYPD to break up a
tent encampment.
Speaker 11 (11:58):
One hundred and fifty protesters arrested at NYU and in demonstration.
The university says it asked the police to intervene.
Speaker 5 (12:05):
Okay, Okay, just to be clear, I said, D escalate,
D escalate.
Speaker 14 (12:12):
Chaos on the campus of USC as pro Palestinian protesters
clashed with school security and police. LA police officers and
riot gear move in and there are a number of
confrontations as the police force encircles the center of campus.
Speaker 5 (12:24):
Okay, does D escalate not mean what I think it means?
On escalate, reverse, escalate, at least don't make it worse.
Speaker 11 (12:35):
Officers were sent in at the request of the university
and under the direction of Governor Greg Abbott.
Speaker 14 (12:41):
Abbot posted a social media quote, the protesters belong in jail.
Speaker 8 (12:46):
Send in the National Guard and wake these kids up.
Speaker 7 (12:52):
Do these ever think of a solution besides force?
Speaker 8 (12:55):
I mean, when this guy's WiFi goes down, is he
like get the National Guard in there?
Speaker 5 (13:00):
My modem By the way, that man is Senator Josh Howley.
You might remember him as the man who riled up
a mob on January sixth and then ran like a
bitch once.
Speaker 8 (13:10):
They showed up.
Speaker 5 (13:14):
Personally, personally, I might think twice the next time I
endorsed violence, but that's just me.
Speaker 4 (13:24):
And also, Jordan, you don't use the National God because
students are camping on the quad. You use them for
when aliens invade and you want to test the aliens
weapon capabilities. You know, you're like, how strong are LA's
sending a national God to find out?
Speaker 5 (13:39):
You're not going to resolve tension by adding violence. I'm
spitballing here. Maybe instead of armed soldiers, why not try
sending in the college improv troup. You know, a group
of communication majors in bright colored shirts asking for a
suggestion should clear out a crowd.
Speaker 8 (13:54):
In no time.
Speaker 4 (13:57):
No, Jordan, everybody knows that our college improv makes everything worse, okay,
and as well right wing politicians showing up on campus
to yell at the students house.
Speaker 14 (14:07):
Speaker Mike Johnson visiting the Columbia campus today.
Speaker 10 (14:10):
The cherished traditions of this university are being overtaken right
now by radical and extreme ideologies. I am here today
joining my colleagues and calling on President Shafi to resign
if she cannot immediately bring order to this chaos. Go
back to class and stop the nonsense. Stop wasting your parents' money.
Speaker 4 (14:32):
Yes, stop wasting your parents' money. Be like Mike Johnson
getting the government and waste everyone's money. And by the way, Mike,
if your problem is with anti Semitism, I completely agree
with you that that it's completely unacceptable. But maybe stop
with your coworker who believes in Jewish space lasers.
Speaker 5 (14:55):
I mean just say, I will say it's quite a
flip flop for Republicans to be telling New York college
kids to go back to their woke ideology classes.
Speaker 8 (15:05):
You shouldn't be intense.
Speaker 5 (15:07):
You should be studying essays on pornography by radical feminists
Andrea to workin. Honestly, I can't think of anybody worse
to give their opinions on how to protest the war
in Gaza.
Speaker 8 (15:18):
Well, there is one guy.
Speaker 1 (15:20):
What's happening on America's college campuses is a rip. Antisemitic
mobs have taken over and leading university.
Speaker 3 (15:28):
It's unconsciable.
Speaker 1 (15:30):
It has to be stopped.
Speaker 5 (15:31):
Oh, thanks for taking the time to give your feedback Benjamin,
then Yahoo is there's nothing else going.
Speaker 4 (15:37):
On with you? I know this guy's like, the situation
in US college campuses is unacceptable. Do you see how
the buildings on not rubble? I am disgusted. Here's the point.
Speaker 5 (15:49):
There's a lot of noise and plenty of bad actors,
but fundamentally what's driving these protests is anger over Israel's
disproportionate use of force.
Speaker 8 (15:57):
So before we.
Speaker 5 (15:58):
Respond to the protest us with disproportionate force, maybe we
should listen to what they have to say. And then
we still don't agree with the students, then we can
send in the.
Speaker 8 (16:09):
College improv troupe.
Speaker 5 (16:12):
When we come back, Kyle Chaka will be joining us
on the show.
Speaker 1 (16:15):
Don't call that no.
Speaker 4 (16:29):
Hy Welcome back to the Daily Show. I guess to
night the staff right out of the New York so
whose late. This book is called Filter World, How Algorithms
Flatten Culture? Please welcome Kyle Shaka.
Speaker 8 (16:56):
Kyle, Kyle, I like this book. I'll tell you why.
Speaker 5 (17:00):
I've been in grumpy asshole about culture for years now,
and this book validates so many of the things I've been.
Speaker 8 (17:06):
Telling other people.
Speaker 5 (17:08):
Tell me, how am I right? How do algorithms flatten.
Speaker 17 (17:12):
Co how has everything gotten worse in the past second
or something. I like seeing the sticky notes by the way,
like this is a demonstration.
Speaker 1 (17:21):
Please, it's like a quiz for me.
Speaker 17 (17:24):
But yeah, I think we're surrounded by these machines right now,
which are algorithmic recommendations, and everything from your email to
your Facebook feed, to your text messages to a TikTok video,
it's all sortied for you. So I think that kind
of affects culture in two ways. Whereas consumers we become
more passive, we're like more accustomed to just getting stuff
(17:44):
handed to us that already agrees with our viewpoint and
like our tastes. And then on the other side, the
creators of culture kind of have to mold their work
to fit these algorithmic platforms. So they have to figure
out what works on Instagram, what works on TikTok, and
then like adapt their work to that, rather than just
doing what they might want to do on their own.
Speaker 5 (18:05):
I actually you mentioned here, which I think is a
good example of it, and part of what you ruminate
on is this generic coffee shop.
Speaker 8 (18:11):
Tell me about that.
Speaker 17 (18:12):
Yeah, it was this kind of coffee shop design that
I started encountering just traveling around as a journalist probably
around twenty fifteen twenty sixteen. And I think everyone can
recognize it, especially in New York. If you've been to
almost any cafe around here, there's white subway tile on
the wall, there's reclaimed wood furniture, there's hanging Edison bulbs
with those like exposed wires. There's succulents and little ceramic jars.
Speaker 4 (18:36):
Is a giant neon sign that says I love absolutely.
Speaker 17 (18:39):
Yeah, like avocado, toast and script or whatever. And I
think the reason why you find this everywhere, like whether
you're in Beijing or Berlin or Los Angeles or a
bali or wherever you go, is because our tastes have
kind of been homogenized by platforms like Instagram. So there's
like a particular aesthetic that works for Instagram. Everyone puts
(19:00):
it out there, and then everyone else on the platform
slowly copies that. And I think that's true for a
coffee shop owner, which I interviewed a bunch of for
the book, but it's also true of musicians or a
chef making a kind of food that looks good on Instagram,
or a producer making a beat for TikTok. So I
think we're all kind of getting funneled into these weird tracks.
Speaker 4 (19:20):
And when I visit coffee shops like that overseas all
around America, I feel at home. Yeah, those places, it's
familiar to it. No, it's true. But I mean the
point is, like I hate social media as much as anybody.
Everyone can testify to this. I hate social media, I testify.
So this is this is But when we'll talk about
(19:43):
algorithms pushing taste, I mean, just to be Devil's advocate
a little bit, like we've we've had aesthetics become popular
before computers existed. So how much of this is algorithms
and how much of it is just humans kind of
having this like the meta game of human art. Yeah,
(20:04):
it's kind of finding a balance to what everyone kind
of likes.
Speaker 17 (20:06):
We're always chasing each other, right, Like culture is a
process of copying stuff and finding a style that works
in the mainstream. But I think now we're just really
in these funnels that are directing us in like a
bigger and faster way toward each other. Like we're all
being shoved into these set tracks much more.
Speaker 4 (20:24):
Than we were. I guess I'm saying how much of
this is algorithm's fault and how much of this is
we are just humans are this is humans are bad.
I think it's like humans are bad and dumb, and
we have that taste, and eventually the machines they copy us.
Speaker 17 (20:41):
I think it's the humans had bad habits like we are.
We want to be passive, we want to be lazy,
We don't want to get too far out of our
comfort zones, and these algorithmic platforms make it so easy
to not do that, Like we don't have to go
we don't have to see things we don't like, we
don't have to listen to music that's unusual for us.
So I think it like enables those innate tendency and
that makes us more boring, like makes us more boring consumers.
(21:04):
It makes culture kind of more generic overall. And I
worry that we like can't get out of that laziness,
Like we can't get out of that habit that we're
in because of the platforms.
Speaker 5 (21:14):
I think a lot about like, our taste is part
of how we define who we are, how we interact
with the world right, And I think for me, the
stuff that I have grown to fall in love with
you find it before the Internet.
Speaker 8 (21:25):
I'm that old, but like.
Speaker 5 (21:27):
I fell in love like the cool high school friend
who recommends you liquid swords and you have a long
commute to school, and so you play it and you
sit with it and it becomes interesting and part of
your identity.
Speaker 8 (21:40):
You find it like sort of you have.
Speaker 5 (21:42):
To meet a moment with a part of taste to
find it in for it to actually stick to you.
And what I worry about with algorithms like are we
are we executing serendipity?
Speaker 1 (21:52):
Yeah?
Speaker 17 (21:52):
I think so in a way, because everything is pre
sorted to appeal to us, Like you are not seeing
something that's totally outside of your family of reraf. So
in that case, when your friend in high school recommends
an album to you, there's this like passion to that,
there's like a creativity to that. They really enjoy it,
so they want to give it to you, and you're
more likely to sit with it and give it some
(22:13):
patience and try to understand what they meant by giving
it to you, Whereas when an algorithm ofcfeed gives you something,
there's no feeling there, Like there's no creativity, there's no enjoyment.
Of that piece of culture. It's just that enough data
suggested to a sorting machine that you would like this
bit of stuff. I'm like, that is kind of depressing
to me as someone who enjoys like art and your.
Speaker 1 (22:33):
Data likes this. Have more?
Speaker 5 (22:35):
Yeah yeah, stup, stop at the bestrow line, look at
the beestrow lines.
Speaker 4 (22:39):
So you guys, you guys are both Brooklyn. Okay, you
want some human to come and tell you what's good,
But like, what about what about the situations when we
go on Instagram or in social media whatever, and then
they recommend the something to buy, like a piece of
clothing or that's not going to what I buy but like,
(23:01):
h yeah, I was running my head through all the stuff,
like I said on TV, but the recommend something and
you go, actually like this, I actually do, like I
hate that minute. But the algorithm got me. Yeah, my wife,
my algorithm, The algorithm got me. I bought this thing,
you know whatether's chewing gum that comes from a tree
in grease or whatever. It was like, but and I
(23:24):
actually enjoy it. So like, you know, we were arguing
against algorithms here, but how much of this is you know, beneficial?
Speaker 8 (23:31):
Not everybody has a cool high school friend.
Speaker 5 (23:32):
Most people have a shitty one that maybe should be
replaced by Yeah.
Speaker 3 (23:37):
No.
Speaker 17 (23:37):
I feel like sometimes the algorithms judge us too well,
like they know exactly what we're going to look at,
they know what niche products we're going to want to buy,
like the resin gum or like weird natural.
Speaker 4 (23:48):
Are you going up too?
Speaker 14 (23:49):
Oh?
Speaker 4 (23:49):
Absolutely? You know.
Speaker 17 (23:51):
We all have those things that are like, oh you,
the algorithm says that I must like this, therefore I
like it, and so I think it just like guides
us towards this, and we feel an anxiety from being
perceived too well.
Speaker 4 (24:03):
In a way, it's like.
Speaker 17 (24:04):
Oh no, the machine knows me, and I think that
inspires bad feelings as well. Like in the book I
write about algorithmic anxiety, which was this academic term for
basically the lack of power and agency you have in
relation to the algorithm.
Speaker 1 (24:19):
You don't know how it works.
Speaker 17 (24:20):
You don't know why you're getting recommended resin gum from Greece.
You just know that it's like you have been evaluated
and this is directed at you.
Speaker 4 (24:28):
But now I know, But now I know that we
actually might be friends because you both get the same
for the Greek gum thing. Yeah, you don't know what?
Yeah what the cool kids weird?
Speaker 8 (24:39):
That's what I want to know.
Speaker 5 (24:41):
So they say, if politics is downstream from culture and
we all are moving into this flattened culture, what does
this mean from thirty thousand foot view to what it
does to our politics?
Speaker 17 (24:53):
Yeah, I think it affects everything, like it affects culture.
It affects geography, cities, also politics. And in culture, algorithms
kind of funnel everyone toward a generic average where there's
just this like style that works for everyone. But I
think it's slightly different in politics, like it's sorting people
into these very extreme groups that are very far from
each other. So like in the US, maybe there's two
(25:15):
big buckets, like you're either a Democrat or a Republican,
and there's one way to be those things. There's no
internal diversity. It's hard to have different opinions at the
same time. It's just like you've been sorted into this
bucket or this bucket, and then you've experience a lot
of pressure to stay in there.
Speaker 4 (25:31):
So how come algorithms are flattening the culture when it's
bad for us? Meaning everyone is seeing the same thing.
But when it comes to politics, and maybe it would
be better if we could ruin the same direction. It's
making us more divine algorithm doing the worst possible things.
Speaker 17 (25:46):
Yeah, I mean, it's totally true. It's like opposing forces
in a way. I mean, I think culture is like
a thing that many people experience collectively, Like it's a
thing that we can all enjoy it together in a way.
Speaker 4 (25:59):
Sometimes.
Speaker 17 (26:00):
Yeah, and in like a Taylor Swift context, everyone can
like Taylor Swift if there's.
Speaker 4 (26:05):
All we do, and we do.
Speaker 17 (26:08):
We do to be clear, Yes, so if we could
find the tailor Swift for politics, that would be amazing.
But I think something I think I think it's Swift.
There we go, Okay, we've figured it out. The algorithmic
solutions of politics is Taylor Swift. But yeah, I mean
(26:30):
maybe it's just that there can be no one solution
to such opposing viewpoints.
Speaker 4 (26:34):
Even computers can figure it out.
Speaker 17 (26:37):
Until we have the president. That is the algorithm. Unfortunately,
how old is that algorithm? Yes, well, none of them
are that old. This has only been a decade.
Speaker 4 (26:46):
You you know what.
Speaker 5 (26:47):
It sounds like a decent option that a lot of
people could get behind. Filter world is available now Kyle Jacob,
We're gonna take a quick break.
Speaker 11 (26:54):
But.
Speaker 3 (27:09):
Hey, thatss over of the night.
Speaker 8 (27:12):
That is eleven of them. We're trying to find out
who is behind.
Speaker 12 (27:16):
This because it's eerily you know, they all have.
Speaker 8 (27:19):
The same tent.
Speaker 6 (27:20):
Why do they have all of them the same green tents,
the colorfulness of them, and they all match.
Speaker 13 (27:25):
Guarantee Mommy and Daddy bought it for them or some
dark money organizations, because they all seem to match, don't they.
Speaker 2 (27:32):
Explore more shows from the Daily Show podcast universe by
searching The Daily Show wherever you get your podcasts. Watch
The Daily Show week nights at eleven ten Central on
Comedy Central and streamful episodes anytime on Paramount Plus.
Speaker 14 (27:50):
This has been a Comedy Central podcast now
You're listening to Comedy Central.
Speaker 2 (00:06):
From the most trusted journalists at Comedy Central. It's America's
only source for news.
Speaker 3 (00:12):
It's The Daily Tube with your host Jordan Clipper and
Roddie Jay.
Speaker 4 (00:36):
Welcome to Daily Trub Jordan Clipper and I'm Roy Shang.
We got so much to talk about tonight. College campuses
are protesting Donald Trump's enemies are surrendering, and the Supreme
Court wonders if the President can kill you for fun.
Speaker 5 (00:49):
But first, Donald Trump is still on trial, so let's
catch up with another installment of America's most tremendously wanted.
Speaker 1 (01:02):
The whole thing is a scam.
Speaker 5 (01:07):
Today it was a big day for Donald Trump versus
Johnny Law, with the former president fighting the man at
every level of the legal system.
Speaker 4 (01:14):
But things actually started off for you. Good for Trump.
After months of calling him unfit for office, Trump's former
Attorney General Bill bas said he's voting for him anyway,
and Trump responded with as much grace as you would expect.
Speaker 6 (01:29):
So the former president posting a truth social things quote, Wow,
former Attorney General Bill Barr has just endorsed me for president,
despite the fact that I called him weak, slow moving lethargic, gutless,
and lazy.
Speaker 7 (01:41):
Based on the fact that I.
Speaker 6 (01:42):
Greatly appreciate his wholehearted endorsement, I am removing the word
lethargic from my statement.
Speaker 7 (01:47):
Thank you, Bill.
Speaker 8 (01:50):
Donald Holm. Donald Trump is the king of pettiness.
Speaker 5 (01:58):
I am positive at an alt universe, Trump was a
sorority president, just dripping with Shane, like, Wow, Bell, I
love that bikini.
Speaker 8 (02:06):
You're so brave to be wearing that. You go girl.
Speaker 4 (02:10):
I mean, it does look like Trump hates Trump ask
kisses as much as the rest of us do, because
he'll be like, kiss the ring, and then when they do,
he's like, I can't believe you kiss the ring, you
little bitch.
Speaker 5 (02:23):
So Trump was riding that sick burn high this morning,
all the way into court, where he was confronted with
testimony from the head of the National Enquirer, who wasn't
afraid to spill some tea.
Speaker 9 (02:34):
Publisher David Pecker returned to the witness stand this morning
and explained how we engineered a deal to buy the
silence of Karen McDougall, a playboy model who claims she
had an affair with Trump. Pecker claims he had a
deal with Trump and his attorney, Michael Cullen, to be
on the lookout for damaging stories about Trump.
Speaker 10 (02:52):
He would buy stories that were unflattering to Trump, and
then he would kill them to make sure they didn't
become public.
Speaker 8 (02:59):
Was today bad day for Donald Trump?
Speaker 11 (03:02):
He look I can't read his mind, but he looked
pretty miserable.
Speaker 5 (03:07):
Oh really, he looked miserable. He's not one of those
jovial criminal defendants coming to cart with a smile on
his face and a sprig at a step as he
stares down a future full of prison gangs, public pooping,
and shoddy heroin balloon's migrating up his colon Cocker.
Speaker 4 (03:25):
But yes, David Pecker pun intended, testified that he brought
up and buried negative stories about Donald Trump to help
him win the twenty sixteen election, Which sounds crazy, but
you gotta remember this was way back in twenty sixteen
when negative stories were a bad thing. Now we know
that every new scandal just cancels out a different scandal
(03:48):
until you've become president. But because this is Donald Trump,
he wasn't involved in just one court case today. While
he was in New York, his lawyers went in front
of the Supreme Court, arguing that Trump should have complete
legal immunity for anything he did while president, and I
do mean complete immunity.
Speaker 12 (04:06):
If the president decides that his rival is a corrupt
person and he orders the military or orders someone to
assassinate him, is that within his official acts for which
he can get immunity.
Speaker 7 (04:23):
It would depends on the hypothetical.
Speaker 9 (04:25):
But we can see that could well be an official act.
Speaker 4 (04:29):
I object to this guy's voice can mean someone gave
m laws ins or something, but I mean sorry, sorry,
you may continue. How about it?
Speaker 13 (04:39):
If a president orders the military to stage a coup,
I think.
Speaker 4 (04:44):
It would to pass immune.
Speaker 10 (04:45):
I think it would depend on the circumstances where it
was an official act.
Speaker 8 (04:49):
If it were an official act.
Speaker 13 (04:50):
If a president sells nuclear secrets to a foreign adversary,
is that immune.
Speaker 2 (04:55):
Well, I don't know him hypothetical whether or not that
would be an official act.
Speaker 4 (05:00):
Okay, look, can we stop giving Trump ideas? Okay, yeah,
he's listening to this, like, oh, we're selling nuclear secrets.
I should write this down.
Speaker 5 (05:08):
Yeah, it sounded like they were loose pitching Netflix action
thrillers in the room, Like in order to save his nation,
the president must strangle an opponent in a public deathmatch.
Liam Neeson is immune from prosecution.
Speaker 8 (05:26):
Now, very good.
Speaker 1 (05:31):
That's very good.
Speaker 4 (05:31):
Good, very good.
Speaker 5 (05:33):
Now, the Trump legal team doesn't really believe the total
immuniony argument. They're just bringing it up to delay his trials.
It's kind of like when your kid asks for water
at bedtime, and you know they're just trying to delay
bedtime because kids don't need water.
Speaker 4 (05:49):
So I'm pretty sure kids do need water.
Speaker 5 (05:51):
No, you're thinking of plans. The wild thing is that
the Court's conservative majority seems like it's actually going to
accept at least part of Trump's argument.
Speaker 6 (06:02):
By the end of the hearing, the conservative majority seem
to express a desire to create some kind of limited
immunity for official acts for presidents.
Speaker 8 (06:10):
So this is where we're at.
Speaker 5 (06:12):
The conservative justices think Trump should have immunity, the liberal
justices don't.
Speaker 8 (06:18):
How about we meet halfway.
Speaker 5 (06:19):
Instead of complete immunity, presidents get a hall pass of
five crimes that are totally.
Speaker 8 (06:25):
Okay if you have the chance.
Speaker 5 (06:27):
For example, mine would be bribery, insurrection, wire fraud, perjury,
and Lenny Kravitz money laundred.
Speaker 8 (06:34):
I mean money laundred. I got my Hall passes mixed up.
Speaker 4 (06:37):
Yeah, I mean it is kind of crazy. The Supreme
Court might actually make the president immune from the law.
I mean, isn't this America's whole thing is no kings.
I mean, that's why those people threw the tea in
the river. I mean, what a waste they could have
kept all that tea.
Speaker 5 (06:52):
Yeah, that's my main concern as well, Ronnie. With all this,
there is still a presidential race going up. So this morning,
Donald Trump made a campaign stop on his way into court,
and Fox News was there to drink it up.
Speaker 14 (07:07):
Breaking this morning, former President Donald Trump making a surprise
campaign stop in the last hour at a construction site
in Midtown.
Speaker 11 (07:14):
He's taking his time with everyone, talking to people, shaking hands,
taking selfies.
Speaker 7 (07:18):
Look at him with this.
Speaker 11 (07:19):
Man with the hard hat taking a picture, thanking him
for being there, patting his back. He grew up in
New York, grew up in construction on these sites, and
now he's talking to the men and women that build New.
Speaker 7 (07:30):
York, that build all these buildings. He knows a lot
about that.
Speaker 11 (07:33):
He's one of them.
Speaker 5 (07:37):
Wow, he was clearly excited to be on a construction site.
Shake a few hands, pad a few backs show them
some advanced cat calling techniques, you know, the whole nine.
Speaker 4 (07:46):
And those construction workers appeared to really love Trump. Either
that or they showed up with all their unpaid invoices.
So hey, can I get your autograph on this?
Speaker 14 (07:55):
Ya?
Speaker 4 (07:56):
You initial here and here please?
Speaker 5 (07:58):
It's been years now for more Donald Trump's day in
the courts and on the campaign trail. We go down
to the New York Courthouse and Michael Costa and Michael,
you were with Trump this morning at his campaign stop, right, yep, And.
Speaker 15 (08:17):
Once again Trump proved that he is a man of
the people, blue collar workers, union guys.
Speaker 1 (08:24):
Donald J. Trump is one of them.
Speaker 15 (08:26):
Clearly, the J stands for Joe, as in Joe six pack,
average Joe, or Joe lean.
Speaker 4 (08:32):
Because of the adultery, right right, right right, He's an
everyman or a regular person. And what did Trump's lawyers
argue at the Supreme Court today?
Speaker 15 (08:42):
Their argument is quite simple, Ronnie, Donald Trump is not
a regular person.
Speaker 1 (08:47):
He's not some blue collar worker or a union guy.
Donald J.
Speaker 15 (08:53):
Trump is an untouchable, godlike entity who lives above the law.
Speaker 4 (08:57):
Right.
Speaker 15 (08:58):
Clearly, the JAY stands for judicially immune from all prosecution
forever and all time.
Speaker 1 (09:04):
Amen.
Speaker 5 (09:06):
But Michael, how does he square those two? That sounds
totally contradictory.
Speaker 1 (09:11):
Not at all.
Speaker 15 (09:11):
Donny Trump is a guy you can imagine having a
beer with. He's also the guy who can murder the
guy he's having a beer with because the law doesn't
apply to him. George, He's like j Low. Don't be
fooled by the total immunity he's got. He's still Donnie
from the block.
Speaker 1 (09:29):
Also, he's got a great ass.
Speaker 4 (09:31):
Okay, Michael, how is he at all relatable to these
construction guys?
Speaker 1 (09:37):
Easy, Ronnie. Trump speaks the language of the common man.
Speaker 16 (09:41):
Ay, I'm walking here on my way to overthrow the government,
and it's legal what I'm doing under the auspices of
an official act, Dude, Pepperoni.
Speaker 8 (09:55):
So Trump is a regular guy.
Speaker 1 (09:58):
No better than any of us.
Speaker 8 (10:00):
Is totally above the law, better.
Speaker 1 (10:02):
Than any of us.
Speaker 15 (10:03):
And it's probably hard for caviares slurping elitis like yourselves
to understand.
Speaker 1 (10:09):
But Trump is a lot like these construction workers. Think
of him as having a hard.
Speaker 15 (10:15):
Hat that protects him from any US law, and some
safety goggles that shield them from seeing any jail time,
and of course a trusty pair of work boots.
Speaker 5 (10:25):
All right, let me guess the work boots. Let him
trample the constitution?
Speaker 15 (10:29):
No, No, the lift they provide highlights Donald J. Trump's
great ass. Right, Clearly, the J stands for juicy caboosy.
Speaker 8 (10:38):
Michael constant.
Speaker 7 (10:39):
Everyone, we'll come back.
Speaker 8 (10:42):
We'll talk about the latest college friend.
Speaker 7 (10:45):
No, I don't know, if that, I don't know, if
the work well, imagine the daily Joe.
Speaker 5 (11:06):
Let's talk about college, the place you go to learn
and to meet the love of your life until they
get their tenure taken away for having sex.
Speaker 8 (11:14):
With a student.
Speaker 5 (11:16):
But in recent weeks, colleges across the country have become
the site of mass protests against Israel's war in Gazam
and this presents a challenge for the colleges.
Speaker 8 (11:26):
Loud and even.
Speaker 5 (11:26):
Disruptive protests are cherished tradition on campuses and college investments
in Israel are a legitimate issue for students, but at
the same time, there's a real element of anti Semitism
among some protests, and Jewish students have the right to
feel safe at their own schools. So it's a delicate
balance that requires keeping a cool head and listening respectfully,
(11:49):
and above all, the colleges should not escalate the tension.
Speaker 10 (11:53):
Columbia University's president asked the NYPD to break up a
tent encampment.
Speaker 11 (11:58):
One hundred and fifty protesters arrested at NYU and in demonstration.
The university says it asked the police to intervene.
Speaker 5 (12:05):
Okay, Okay, just to be clear, I said, D escalate,
D escalate.
Speaker 14 (12:12):
Chaos on the campus of USC as pro Palestinian protesters
clashed with school security and police. LA police officers and
riot gear move in and there are a number of
confrontations as the police force encircles the center of campus.
Speaker 5 (12:24):
Okay, does D escalate not mean what I think it means?
On escalate, reverse, escalate, at least don't make it worse.
Speaker 11 (12:35):
Officers were sent in at the request of the university
and under the direction of Governor Greg Abbott.
Speaker 14 (12:41):
Abbot posted a social media quote, the protesters belong in jail.
Speaker 8 (12:46):
Send in the National Guard and wake these kids up.
Speaker 7 (12:52):
Do these ever think of a solution besides force?
Speaker 8 (12:55):
I mean, when this guy's WiFi goes down, is he
like get the National Guard in there?
Speaker 5 (13:00):
My modem By the way, that man is Senator Josh Howley.
You might remember him as the man who riled up
a mob on January sixth and then ran like a
bitch once.
Speaker 8 (13:10):
They showed up.
Speaker 5 (13:14):
Personally, personally, I might think twice the next time I
endorsed violence, but that's just me.
Speaker 4 (13:24):
And also, Jordan, you don't use the National God because
students are camping on the quad. You use them for
when aliens invade and you want to test the aliens
weapon capabilities. You know, you're like, how strong are LA's
sending a national God to find out?
Speaker 5 (13:39):
You're not going to resolve tension by adding violence. I'm
spitballing here. Maybe instead of armed soldiers, why not try
sending in the college improv troup. You know, a group
of communication majors in bright colored shirts asking for a
suggestion should clear out a crowd.
Speaker 8 (13:54):
In no time.
Speaker 4 (13:57):
No, Jordan, everybody knows that our college improv makes everything worse, okay,
and as well right wing politicians showing up on campus
to yell at the students house.
Speaker 14 (14:07):
Speaker Mike Johnson visiting the Columbia campus today.
Speaker 10 (14:10):
The cherished traditions of this university are being overtaken right
now by radical and extreme ideologies. I am here today
joining my colleagues and calling on President Shafi to resign
if she cannot immediately bring order to this chaos. Go
back to class and stop the nonsense. Stop wasting your parents' money.
Speaker 4 (14:32):
Yes, stop wasting your parents' money. Be like Mike Johnson
getting the government and waste everyone's money. And by the way, Mike,
if your problem is with anti Semitism, I completely agree
with you that that it's completely unacceptable. But maybe stop
with your coworker who believes in Jewish space lasers.
Speaker 5 (14:55):
I mean just say, I will say it's quite a
flip flop for Republicans to be telling New York college
kids to go back to their woke ideology classes.
Speaker 8 (15:05):
You shouldn't be intense.
Speaker 5 (15:07):
You should be studying essays on pornography by radical feminists
Andrea to workin. Honestly, I can't think of anybody worse
to give their opinions on how to protest the war
in Gaza.
Speaker 8 (15:18):
Well, there is one guy.
Speaker 1 (15:20):
What's happening on America's college campuses is a rip. Antisemitic
mobs have taken over and leading university.
Speaker 3 (15:28):
It's unconsciable.
Speaker 1 (15:30):
It has to be stopped.
Speaker 5 (15:31):
Oh, thanks for taking the time to give your feedback Benjamin,
then Yahoo is there's nothing else going.
Speaker 4 (15:37):
On with you? I know this guy's like, the situation
in US college campuses is unacceptable. Do you see how
the buildings on not rubble? I am disgusted. Here's the point.
Speaker 5 (15:49):
There's a lot of noise and plenty of bad actors,
but fundamentally what's driving these protests is anger over Israel's
disproportionate use of force.
Speaker 8 (15:57):
So before we.
Speaker 5 (15:58):
Respond to the protest us with disproportionate force, maybe we
should listen to what they have to say. And then
we still don't agree with the students, then we can
send in the.
Speaker 8 (16:09):
College improv troupe.
Speaker 5 (16:12):
When we come back, Kyle Chaka will be joining us
on the show.
Speaker 1 (16:15):
Don't call that no.
Speaker 4 (16:29):
Hy Welcome back to the Daily Show. I guess to
night the staff right out of the New York so
whose late. This book is called Filter World, How Algorithms
Flatten Culture? Please welcome Kyle Shaka.
Speaker 8 (16:56):
Kyle, Kyle, I like this book. I'll tell you why.
Speaker 5 (17:00):
I've been in grumpy asshole about culture for years now,
and this book validates so many of the things I've been.
Speaker 8 (17:06):
Telling other people.
Speaker 5 (17:08):
Tell me, how am I right? How do algorithms flatten.
Speaker 17 (17:12):
Co how has everything gotten worse in the past second
or something. I like seeing the sticky notes by the way,
like this is a demonstration.
Speaker 1 (17:21):
Please, it's like a quiz for me.
Speaker 17 (17:24):
But yeah, I think we're surrounded by these machines right now,
which are algorithmic recommendations, and everything from your email to
your Facebook feed, to your text messages to a TikTok video,
it's all sortied for you. So I think that kind
of affects culture in two ways. Whereas consumers we become
more passive, we're like more accustomed to just getting stuff
(17:44):
handed to us that already agrees with our viewpoint and
like our tastes. And then on the other side, the
creators of culture kind of have to mold their work
to fit these algorithmic platforms. So they have to figure
out what works on Instagram, what works on TikTok, and
then like adapt their work to that, rather than just
doing what they might want to do on their own.
Speaker 5 (18:05):
I actually you mentioned here, which I think is a
good example of it, and part of what you ruminate
on is this generic coffee shop.
Speaker 8 (18:11):
Tell me about that.
Speaker 17 (18:12):
Yeah, it was this kind of coffee shop design that
I started encountering just traveling around as a journalist probably
around twenty fifteen twenty sixteen. And I think everyone can
recognize it, especially in New York. If you've been to
almost any cafe around here, there's white subway tile on
the wall, there's reclaimed wood furniture, there's hanging Edison bulbs
with those like exposed wires. There's succulents and little ceramic jars.
Speaker 4 (18:36):
Is a giant neon sign that says I love absolutely.
Speaker 17 (18:39):
Yeah, like avocado, toast and script or whatever. And I
think the reason why you find this everywhere, like whether
you're in Beijing or Berlin or Los Angeles or a
bali or wherever you go, is because our tastes have
kind of been homogenized by platforms like Instagram. So there's
like a particular aesthetic that works for Instagram. Everyone puts
(19:00):
it out there, and then everyone else on the platform
slowly copies that. And I think that's true for a
coffee shop owner, which I interviewed a bunch of for
the book, but it's also true of musicians or a
chef making a kind of food that looks good on Instagram,
or a producer making a beat for TikTok. So I
think we're all kind of getting funneled into these weird tracks.
Speaker 4 (19:20):
And when I visit coffee shops like that overseas all
around America, I feel at home. Yeah, those places, it's
familiar to it. No, it's true. But I mean the
point is, like I hate social media as much as anybody.
Everyone can testify to this. I hate social media, I testify.
So this is this is But when we'll talk about
(19:43):
algorithms pushing taste, I mean, just to be Devil's advocate
a little bit, like we've we've had aesthetics become popular
before computers existed. So how much of this is algorithms
and how much of it is just humans kind of
having this like the meta game of human art. Yeah,
(20:04):
it's kind of finding a balance to what everyone kind
of likes.
Speaker 17 (20:06):
We're always chasing each other, right, Like culture is a
process of copying stuff and finding a style that works
in the mainstream. But I think now we're just really
in these funnels that are directing us in like a
bigger and faster way toward each other. Like we're all
being shoved into these set tracks much more.
Speaker 4 (20:24):
Than we were. I guess I'm saying how much of
this is algorithm's fault and how much of this is
we are just humans are this is humans are bad.
I think it's like humans are bad and dumb, and
we have that taste, and eventually the machines they copy us.
Speaker 17 (20:41):
I think it's the humans had bad habits like we are.
We want to be passive, we want to be lazy,
We don't want to get too far out of our
comfort zones, and these algorithmic platforms make it so easy
to not do that, Like we don't have to go
we don't have to see things we don't like, we
don't have to listen to music that's unusual for us.
So I think it like enables those innate tendency and
that makes us more boring, like makes us more boring consumers.
(21:04):
It makes culture kind of more generic overall. And I
worry that we like can't get out of that laziness,
Like we can't get out of that habit that we're
in because of the platforms.
Speaker 5 (21:14):
I think a lot about like, our taste is part
of how we define who we are, how we interact
with the world right, And I think for me, the
stuff that I have grown to fall in love with
you find it before the Internet.
Speaker 8 (21:25):
I'm that old, but like.
Speaker 5 (21:27):
I fell in love like the cool high school friend
who recommends you liquid swords and you have a long
commute to school, and so you play it and you
sit with it and it becomes interesting and part of
your identity.
Speaker 8 (21:40):
You find it like sort of you have.
Speaker 5 (21:42):
To meet a moment with a part of taste to
find it in for it to actually stick to you.
And what I worry about with algorithms like are we
are we executing serendipity?
Speaker 1 (21:52):
Yeah?
Speaker 17 (21:52):
I think so in a way, because everything is pre
sorted to appeal to us, Like you are not seeing
something that's totally outside of your family of reraf. So
in that case, when your friend in high school recommends
an album to you, there's this like passion to that,
there's like a creativity to that. They really enjoy it,
so they want to give it to you, and you're
more likely to sit with it and give it some
(22:13):
patience and try to understand what they meant by giving
it to you, Whereas when an algorithm ofcfeed gives you something,
there's no feeling there, Like there's no creativity, there's no enjoyment.
Of that piece of culture. It's just that enough data
suggested to a sorting machine that you would like this
bit of stuff. I'm like, that is kind of depressing
to me as someone who enjoys like art and your.
Speaker 1 (22:33):
Data likes this. Have more?
Speaker 5 (22:35):
Yeah yeah, stup, stop at the bestrow line, look at
the beestrow lines.
Speaker 4 (22:39):
So you guys, you guys are both Brooklyn. Okay, you
want some human to come and tell you what's good,
But like, what about what about the situations when we
go on Instagram or in social media whatever, and then
they recommend the something to buy, like a piece of
clothing or that's not going to what I buy but like,
(23:01):
h yeah, I was running my head through all the stuff,
like I said on TV, but the recommend something and
you go, actually like this, I actually do, like I
hate that minute. But the algorithm got me. Yeah, my wife,
my algorithm, The algorithm got me. I bought this thing,
you know whatether's chewing gum that comes from a tree
in grease or whatever. It was like, but and I
(23:24):
actually enjoy it. So like, you know, we were arguing
against algorithms here, but how much of this is you know, beneficial?
Speaker 8 (23:31):
Not everybody has a cool high school friend.
Speaker 5 (23:32):
Most people have a shitty one that maybe should be
replaced by Yeah.
Speaker 3 (23:37):
No.
Speaker 17 (23:37):
I feel like sometimes the algorithms judge us too well,
like they know exactly what we're going to look at,
they know what niche products we're going to want to buy,
like the resin gum or like weird natural.
Speaker 4 (23:48):
Are you going up too?
Speaker 14 (23:49):
Oh?
Speaker 4 (23:49):
Absolutely? You know.
Speaker 17 (23:51):
We all have those things that are like, oh you,
the algorithm says that I must like this, therefore I
like it, and so I think it just like guides
us towards this, and we feel an anxiety from being
perceived too well.
Speaker 4 (24:03):
In a way, it's like.
Speaker 17 (24:04):
Oh no, the machine knows me, and I think that
inspires bad feelings as well. Like in the book I
write about algorithmic anxiety, which was this academic term for
basically the lack of power and agency you have in
relation to the algorithm.
Speaker 1 (24:19):
You don't know how it works.
Speaker 17 (24:20):
You don't know why you're getting recommended resin gum from Greece.
You just know that it's like you have been evaluated
and this is directed at you.
Speaker 4 (24:28):
But now I know, But now I know that we
actually might be friends because you both get the same
for the Greek gum thing. Yeah, you don't know what?
Yeah what the cool kids weird?
Speaker 8 (24:39):
That's what I want to know.
Speaker 5 (24:41):
So they say, if politics is downstream from culture and
we all are moving into this flattened culture, what does
this mean from thirty thousand foot view to what it
does to our politics?
Speaker 17 (24:53):
Yeah, I think it affects everything, like it affects culture.
It affects geography, cities, also politics. And in culture, algorithms
kind of funnel everyone toward a generic average where there's
just this like style that works for everyone. But I
think it's slightly different in politics, like it's sorting people
into these very extreme groups that are very far from
each other. So like in the US, maybe there's two
(25:15):
big buckets, like you're either a Democrat or a Republican,
and there's one way to be those things. There's no
internal diversity. It's hard to have different opinions at the
same time. It's just like you've been sorted into this
bucket or this bucket, and then you've experience a lot
of pressure to stay in there.
Speaker 4 (25:31):
So how come algorithms are flattening the culture when it's
bad for us? Meaning everyone is seeing the same thing.
But when it comes to politics, and maybe it would
be better if we could ruin the same direction. It's
making us more divine algorithm doing the worst possible things.
Speaker 17 (25:46):
Yeah, I mean, it's totally true. It's like opposing forces
in a way. I mean, I think culture is like
a thing that many people experience collectively, Like it's a
thing that we can all enjoy it together in a way.
Speaker 4 (25:59):
Sometimes.
Speaker 17 (26:00):
Yeah, and in like a Taylor Swift context, everyone can
like Taylor Swift if there's.
Speaker 4 (26:05):
All we do, and we do.
Speaker 17 (26:08):
We do to be clear, Yes, so if we could
find the tailor Swift for politics, that would be amazing.
But I think something I think I think it's Swift.
There we go, Okay, we've figured it out. The algorithmic
solutions of politics is Taylor Swift. But yeah, I mean
(26:30):
maybe it's just that there can be no one solution
to such opposing viewpoints.
Speaker 4 (26:34):
Even computers can figure it out.
Speaker 17 (26:37):
Until we have the president. That is the algorithm. Unfortunately,
how old is that algorithm? Yes, well, none of them
are that old. This has only been a decade.
Speaker 4 (26:46):
You you know what.
Speaker 5 (26:47):
It sounds like a decent option that a lot of
people could get behind. Filter world is available now Kyle Jacob,
We're gonna take a quick break.
Speaker 11 (26:54):
But.
Speaker 3 (27:09):
Hey, thatss over of the night.
Speaker 8 (27:12):
That is eleven of them. We're trying to find out
who is behind.
Speaker 12 (27:16):
This because it's eerily you know, they all have.
Speaker 8 (27:19):
The same tent.
Speaker 6 (27:20):
Why do they have all of them the same green tents,
the colorfulness of them, and they all match.
Speaker 13 (27:25):
Guarantee Mommy and Daddy bought it for them or some
dark money organizations, because they all seem to match, don't they.
Speaker 2 (27:32):
Explore more shows from the Daily Show podcast universe by
searching The Daily Show wherever you get your podcasts. Watch
The Daily Show week nights at eleven ten Central on
Comedy Central and streamful episodes anytime on Paramount Plus.
Speaker 14 (27:50):
This has been a Comedy Central podcast now
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