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