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Speaker 1: Welcome to Worst Year Ever, a production of I Heart Radio.

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Speaker 1: Welcome Together Everything, so don't don't do so. Welcome to

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Speaker 1: the Worst Hear Ever Podcast. My name is Katie Stole

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Speaker 1: and I'm Robert Evans. And in case you guys didn't

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Speaker 1: hear that, this is going to be the worst year

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Speaker 1: ever because Cody is continuing to do his time machine noises. Uh,

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Speaker 1: and they are grotesque. I was told that there were

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Speaker 1: some mixed reviews and uh, I didn't go over all

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Speaker 1: with some people, and now doubling down, that's where we are.

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Speaker 1: This is your fault, you guys. You've encouraged I forgave O. J.

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Speaker 1: Simpson when he came back on Twitter with that series

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Speaker 1: of charming videos. But I can't to give this interesting

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Speaker 1: interesting your can for giveness mechanism? You have? Wait, so

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Speaker 1: when he posted when he posted the videos saying like

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Speaker 1: I got a lot of what do you say, like

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Speaker 1: I got a lot of scores to settle or something

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Speaker 1: like that that that garnered your forgiveness. When I when

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Speaker 1: I was a child and I would do something wrong,

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Speaker 1: or when you know my parents would do something wrong.

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Speaker 1: I was raised to believe that when you apologize, you

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Speaker 1: pose with a set of golf clubs on a golf

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Speaker 1: course and talk about all the scores you have to settle,

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Speaker 1: and that is the truest way to express contrition. So

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Speaker 1: I can assume that O. J. Simpson meant to express

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Speaker 1: his deep sorrow over his past actions. And uh yeah, okay,

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Speaker 1: well then I apologize for the time travel noise, and

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Speaker 1: I promised to get revenge on you by doing it.

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Speaker 1: I don't believe it without the golf course. We can

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Speaker 1: addit this out, but can I read it? It's really

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Speaker 1: The review says that time machine noise was all it

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Speaker 1: took back to Rachel Maddow, which I was like, you

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Speaker 1: know what, that's part out Daniel. By the way, Oh no, no,

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Speaker 1: I say we leave it in the world needs to

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Speaker 1: know I'm de radicalizing people with my time noises. I'm

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Speaker 1: imagining that person was like on their way to bomb

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Speaker 1: a bank with like a mask on and stuff, and

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Speaker 1: they heard your time machine noises and said, you know

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Speaker 1: what I'm going, Joe, we gotta get rid of We

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Speaker 1: gotta get rid of. Drump turns on him a moderate cool. Well,

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Speaker 1: today guys were gathered here to discuss not Joe Biden,

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Speaker 1: not Rachel matt Out, not time Machine voices, but Andrew Yang,

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Speaker 1: the meme king, the unabashed lover of s n L.

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Speaker 1: He loves SNL. Well, he was tweeting about how much

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Speaker 1: he liked this last week's episode or something like that,

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Speaker 1: and you know he wanted to sit down with Shane Gillis.

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Speaker 1: I don't know, guys, this is going to be a

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Speaker 1: different kind of episode because Andrew Yang has never been

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Speaker 1: a politician. Uh So, there's we're going to be digging

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Speaker 1: in right, There's not a lot of record, and we're

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Speaker 1: talking about his life, his career. Are you ready for this?

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Speaker 1: I am so ready. Everyone seems pumped. I'm gonna need

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Speaker 1: to take the energy downal looney, Okay, Okay, let me

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Speaker 1: try this again, Katie, I am. I am so into

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Speaker 1: Andrew Yang that whenever I read studies on the efficacy

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Speaker 1: of universal basic income, the crutch of my pants explodes. Okay,

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Speaker 1: that's the kind of setup, Like we are so on,

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Speaker 1: we're on fire right now. Yeah, Like it's crotch, geez

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Speaker 1: my crotch. When I even think about Andrew Yang's policy statements,

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Speaker 1: you just this is going to be a very un

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Speaker 1: comfortable episodes for you. Then, I can't wear quaduroy anymore.

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Speaker 1: Too many third degree burns. Just take off your pants

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Speaker 1: now then, okay, I'm pansless because of Andrew Yang, which

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Speaker 1: is interestingly enough, his new slogan going into he doesn't

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Speaker 1: need anymore memes, but he's got one that'll that'll do.

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Speaker 1: Pig that'll do. Andrew Yang, leader of the Yangang, self

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Speaker 1: described serial entrepreneur, was born in Snectadee, New York, to

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Speaker 1: Taiwanese immigrants. In growing up, Yang was bullied for his race.

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Speaker 1: That sucks. Both of his parents went to grad school

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Speaker 1: at Berkeley, and Yang attended Brown as an undergrad before

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Speaker 1: getting his lotgrey from Columbia. Uh. He quickly got a

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Speaker 1: job as a corporate attorney at Davis, Polk and ward Well,

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Speaker 1: which is an international law firm in New York City,

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Speaker 1: but that did not last long. Apparently he left after

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Speaker 1: only five months because he did not feel that was

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Speaker 1: the right path for him. It's interesting, that's a real

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Speaker 1: quick after putting in all that time and money and

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Speaker 1: then immediately and that's fine, that's fine. I kind of

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Speaker 1: respect that a lot. It's hard, especially when you put

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Speaker 1: in like it's hard to quit a job. But like

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Speaker 1: when you've when you've really put the time in on

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Speaker 1: the back end, and you realize that should I hate this? No,

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Speaker 1: I mean, like I say, it's interesting, but you're right.

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Speaker 1: It's also like, who wants to be a corporate attorney?

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Speaker 1: A lot of people? Yeah, even like I've got friends

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Speaker 1: who went to law school because they were like told

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Speaker 1: they should or like there was a lot of pressure.

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Speaker 1: I guess I'll go to law school. And now they

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Speaker 1: don't do anything with it because we're like, I don't

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Speaker 1: care for it. So, after leaving his law job, he

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Speaker 1: started a nonprofit called Star Giving, which was a website

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Speaker 1: which connected people to celebrity charities, making small donations. Each

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Speaker 1: time the visitor clicked a button. The site would enter

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Speaker 1: visitors into raffles to meet early two thousand stars like Mike,

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Speaker 1: Magic Johnson and Hoodie and the Blowfish. But despite the

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Speaker 1: draw of those magnetic personalities, the company only lasted a

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Speaker 1: couple of years. Uh, like two thousand. That's good, that's

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Speaker 1: towards the end of there. There's a correlation here to

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Speaker 1: why his company last. And I don't think it's just

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Speaker 1: the dot com bubble bursting. Probably well, that's what they

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Speaker 1: would point to. I think it's it's who he blew

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Speaker 1: all his fish. Um, hey, yes, that's the late two

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Speaker 1: thousand's reboot of Hoodie and the Blowfish. He blew all

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Speaker 1: of it perfect U. He briefly sold cut Co knives

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Speaker 1: to make ends meet before. I was hoping that would

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Speaker 1: get a little should we should we give our listeners

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Speaker 1: the heads up as to what I'm going to guess

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Speaker 1: about fifty percent of them have gotten slightly conned by

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Speaker 1: cut Co in the past. I'm getting saying, why did

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Speaker 1: Roberts just burst out laughing? Do you want to give

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Speaker 1: us some background on cut Do you have like a

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Speaker 1: personal relationship with cut Knives? I have a little bit

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Speaker 1: of one. I have a little bit of one. When

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Speaker 1: I was nineteen years old and looking for a job,

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Speaker 1: I saw an ad up in my college for a

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Speaker 1: fifteen dollar an hour, which is pretty good wage back

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Speaker 1: in the two thousand seven um job as a I

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Speaker 1: think it advertised it is like working as a secretary

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Speaker 1: for cut Co Knives endeavor And I had to like

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Speaker 1: come to They wanted me to come to this orientation

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Speaker 1: seminar to see if I could. And I called them

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Speaker 1: and stuff and like, oh yeah, you sound perfect for

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Speaker 1: the job, come to this orientation seminar and like we'll

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Speaker 1: get everything started. And so I was like really excited

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Speaker 1: because I needed money, and I like told my dad

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Speaker 1: and he like looked at it and said, do you

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Speaker 1: know what cut co knives are? And I was like no,

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Speaker 1: and he says, Okay, well, it's a pyramid scheme based

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Speaker 1: around selling kitchen knives for a way too much money,

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Speaker 1: and there's no job for you. They're going to try

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Speaker 1: to get you to buy a bunch of kitchen knives.

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Speaker 1: And then I looked it up online and I found

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Speaker 1: like dozens and dozens more than that of like people's reports.

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Speaker 1: It is like they they get you into a room

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Speaker 1: and they try to sell you a bunch of overpriced

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Speaker 1: knives that you can go do knife demonstrations about how

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Speaker 1: we'll see that might have been a good job for you, though, Robert,

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Speaker 1: you love knives, no because they're bad. Nine. I would

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Speaker 1: love to sell good knives when I get tired of

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Speaker 1: being heartbroken that my friends in Syria are being betrayed

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Speaker 1: by the US government. UM, I will absolutely sell quality

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Speaker 1: handmade knives to people by hacking through pieces of wood

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Speaker 1: and old state grizzle that sounds like a great way

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Speaker 1: to spend my life. Feels like a cut Co knives

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Speaker 1: are bad. It feels like a good time to put

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Speaker 1: out there to anybody that's selling nice knives, that we're

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Speaker 1: looking for knives sponsors. You're looking very knife sponsor. Uh, Gerber,

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Speaker 1: hit us up. You know, worst, your clever worst, your

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Speaker 1: clever terrence. Anyway, it was sharpens pieces of metal on

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Speaker 1: the side of a trash can in my alley near

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Speaker 1: my house. We're you know, we're taking all comers all right.

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Speaker 1: After his brief stint as a cut Co knives salesman, Uh,

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Speaker 1: he became a part time tutor from Manhattan Prep, a

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Speaker 1: tutoring company in New York. He had been began tutoring

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Speaker 1: full time and actually writing college the questions for the

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Speaker 1: tests uh and was appointed CEO in two thousand and

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Speaker 1: six after the CEO left UM. The company's hook was

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Speaker 1: that it paid tutors a hundred dollars an hour, which

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Speaker 1: is like four times at the market rate, and they

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Speaker 1: were very selective about which tutors they accepted. UM. But

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Speaker 1: then in two thousand and eight, when the recession was peaking,

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Speaker 1: Yang started to get worried that his company would be

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Speaker 1: hit hard. But it turned out the opposite was true.

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Speaker 1: With the loss of all these jobs. Uh, they actually

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Speaker 1: saw a dramatic spike both in people going back to

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Speaker 1: business school and enrolling in GMAC courses as well as

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Speaker 1: tutors looking for employment. Employment, and the company became very

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Speaker 1: profitable very quickly. Um, and it seems that he was

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Speaker 1: a very affable, unlikable boss. I included this little quote

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Speaker 1: to give some perspective. Quote. After joining the company, Yang's

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Speaker 1: former employees say they found a chill start up vibe

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Speaker 1: and a boss with a whimsical presence in the office.

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Speaker 1: Yang constantly saying musical narrations of what he was doing,

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Speaker 1: like sending emails and which and would strike a gone

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Speaker 1: long on Friday evenings to tell everyone to go home.

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Speaker 1: That's from Slate us Michael Scott a little bit, Michael, Yeah, yeah, yes,

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Speaker 1: people liked that. People seem to like it, I guess

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Speaker 1: or just noted it. I don't know, right, and start

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Speaker 1: to read like it could be like it's like, oh yeah,

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Speaker 1: they found like a chill startup vibe and a boss

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Speaker 1: with like a whimsical presence in the office. He hit

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Speaker 1: a gong every like the tone can shift. I chose

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Speaker 1: to read it as yeah, you know, aditive, but you know,

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Speaker 1: a little insight into the kind of boss that he is. Um. Interestingly,

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Speaker 1: you does have mixed feelings about standardized testing. That's probably

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Speaker 1: because of his time in the standardized test world. Um.

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Speaker 1: But he believes that it contributes to the myth of meritocracy,

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Speaker 1: criticizes it in his book The World on Normal People.

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Speaker 1: Most of success today is about how good you are

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Speaker 1: at certain tests and what kind of family background you have. Intellect,

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Speaker 1: as narrowly divined by academics and test scores, is now

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Speaker 1: the proxy for human worth. Yeah. I agree with him.

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Speaker 1: He's right on the money with that one. Yeah. He

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Speaker 1: also told Slate that the fact that so many kids

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Speaker 1: have their ambition shaped by their performance on these tests

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Speaker 1: is unfortunate. Right. Oh yeah, it sticks with you. Um,

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Speaker 1: I'm on board with all that. Yeah. Yeah. So anyway,

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Speaker 1: Manhattan Prep was sold to Kaplan, the tutoring behemoth and

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Speaker 1: two thousand nine, which earned Yang millions of dollars. Uh.

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Speaker 1: He went on the Freakonomics podcast earlier this year, after

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Speaker 1: you know running for office, and said that we were

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Speaker 1: acquired for low tens of millions so I walked away

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Speaker 1: with some number in the millions. Um. And I'm bringing

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Speaker 1: that up because obviously that was probably very exciting sale

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Speaker 1: for him and it made him a wealthy man. But

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Speaker 1: it's very different than the picture that I had of

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Speaker 1: him as like a tech billionaire. I don't know where

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Speaker 1: I got that idea from him, but everyone's like, you know,

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Speaker 1: as tech billionaire guy, but you know he's actually it's

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Speaker 1: a much more modest sum than that. Um and Stan, Yeah,

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Speaker 1: like what he's done. And then like the company, that's

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Speaker 1: a lot of gongs, Katie, it's a lot of gongs.

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Speaker 1: You can buy a lot more gongs for millions of dollars,

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Speaker 1: or you can buy one nice. I was gonna say,

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Speaker 1: a big one, but a nice one, sure. I mean

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Speaker 1: the size doesn't necesarily matter with gongs. It's like you know,

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Speaker 1: the residents, the type of metal. I would say, a

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Speaker 1: big one resonates your right size is not the possibility

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Speaker 1: of him being our first gong president really actually does

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Speaker 1: make me consider voting for him just at the at

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Speaker 1: five o'clock Eastern standard time every day presidential gong. Yeah,

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Speaker 1: we could just we could replace I don't know what's

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Speaker 1: one of the states. We don't need um Oklahoma with

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Speaker 1: a gong, uh like a giant or No, it needs

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Speaker 1: to be more central Kansas. Kansas will make Kansas one

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Speaker 1: big gong and we can just ring out the day

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Speaker 1: every night. It sounds lovely, sorry Kansas. Yeah. Um. After

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Speaker 1: the sale of Manhattan Prep, Yang briefly worked as a

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Speaker 1: health tech entrepreneur. Could find the name of that company,

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Speaker 1: but that was very brief before starting Venture for America

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Speaker 1: and twenty eleven. The company's stated goal is to find

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Speaker 1: the next generation of entrepreneurs by providing a two year

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Speaker 1: fellowship to recent college graduates and pairing them with startups UM.

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Speaker 1: According to their website quote, fellows learn important startup skills

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Speaker 1: at our month long training camp, apply for jobs within

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Speaker 1: our vetted company network, and work for two years as

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Speaker 1: full time salaried employees in one of fourteen cities. When

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Speaker 1: fellows are ready to start a company, be it two

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Speaker 1: years after college or ten, v f A has the

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Speaker 1: resources UM to help make that dream a reality. And

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Speaker 1: I actually think that's kind of interesting, um, an interesting idea, uh.

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Speaker 1: Circling back to what I was just saying about his

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Speaker 1: money and income even there, UM, he isn't earning it

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Speaker 1: astronomical amount of money. In sixteen as CEO, he earned

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Speaker 1: two thousand dollars uh, when the company's revenue was almost

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Speaker 1: at seven million. So again wealthy and successful, but by

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Speaker 1: means like hoarding his wealth billionaire. It seems like also

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Speaker 1: fair compensation for CEO of a company of that size.

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Speaker 1: It does like Musk style tech billionaire. And ain't all

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Speaker 1: that just to say like it seems like a generally

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Speaker 1: okay dude, you know. Um. And while he was there

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Speaker 1: at Venture for America, that's when Yang's metamorphosis from regular

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Speaker 1: old entrepreneur to tech savvy politician started to take root.

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Speaker 1: It is kind of like his origin story, if you will. Uh.

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Speaker 1: While running v f A, Yang traveled across the Midwest

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Speaker 1: and saw the problems that automation has caused, and he

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Speaker 1: realized that automation was changing how people function in the economy.

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Speaker 1: So you started thinking about the benefits of universal basic income. Now,

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Speaker 1: obviously u b I is not a new idea. There

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Speaker 1: have been experiments with it all over the world. Um,

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Speaker 1: but it certainly is a new concept for many Americans. Uh.

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Speaker 1: And this is kind of the central tenants of his candidacy.

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Speaker 1: He believes that automation will eliminate jobs and make basic

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Speaker 1: income necessary. Um. That in economic inequality can be addressed

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Speaker 1: with more entrepreneurship, and that universal basic income will help

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Speaker 1: people to become entrepreneurs. And we're going to talk more

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Speaker 1: about that in just a minute. We're going to circle

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Speaker 1: back because there's a lot to unpack here. I'm just

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Speaker 1: getting through his backstory first. Um. But then after that,

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Speaker 1: Yang stepped down as CEO of Venture for America and

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Speaker 1: filed with the FEC to run for president as a

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Speaker 1: Democrat and also unnowingly added his name to our list

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Speaker 1: of people that are helping make this the worst year ever.

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Speaker 1: Uh yeah, okay, can't wait? Cool? Uh yeah, So Yan

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Speaker 1: the politician, like I mentioned up top, he's different than

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Speaker 1: all of our other candidates because Yang has never held

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Speaker 1: in the elected office. He's never even run for office. Hum,

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Speaker 1: candidate but the president? But of our events sure sure, well,

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Speaker 1: except that at this point he has run and one

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Speaker 1: well also at that point when Trump was running, he

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Speaker 1: had he had run before, um, not successfully, But so

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Speaker 1: this is this guy's a little different. Um. But he

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Speaker 1: qualified for the debates by getting one percent in the polls,

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Speaker 1: he's now at three percent UH and getting a minimum

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Speaker 1: of sixty donors. Yang believes that the reason Trump is

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Speaker 1: president is, quote, we automated away four million manufacturing jobs

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Speaker 1: in Michigan, Ohio, Iowa, and all the swing states he

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Speaker 1: needed to win. I'm not sure where he got that

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Speaker 1: four million number. Predictions about how many jobs will be

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Speaker 1: lost to automation are kind of all over the place, UH,

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Speaker 1: but Oxford studies suggest that pent of all U S

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Speaker 1: jobs are at risk of being automated in the coming

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Speaker 1: decades UM. So that brings us back to universal Basic

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Speaker 1: income UM. Yang's plan is a proposed UBI of a

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Speaker 1: thousand dollars in month for every American UM and it's

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Speaker 1: also known as his Freedom Dividend, so a thousand dollars

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Speaker 1: a month or twelve thous dollars a year to all

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Speaker 1: US citizens over the age of eighteen. His website claims

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Speaker 1: that will be paid for by value added tacks of

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Speaker 1: ten percent and by consolidating it with existing welfare programs.

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Speaker 1: So basically, people would need to choose between keeping their

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Speaker 1: welfare their food stamps or what have you, or getting

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Speaker 1: U B I not both, and that's a problem to me.

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Speaker 1: And I know that you have thoughts about that. Well,

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Speaker 1: he's talked about it on Reuben Reports specifically. I know

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Speaker 1: like sort of like that's kind of the end goal

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Speaker 1: of like get rid of these welfare programs and just

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Speaker 1: have this one thing. My issue with it is a

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Speaker 1: it's called a freedom dividend, and I've I think we

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Speaker 1: need to sort of collectively reevaluate what freedom means to

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Speaker 1: us and how like what is living free? How do

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Speaker 1: you live free? Um? And we know that like there

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Speaker 1: are these basic needs that everybody has to survive and

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Speaker 1: it's shelter and it's food. Um. Community is important. But

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Speaker 1: like the idea that you have this freedom dividend and

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Speaker 1: it's meant to sort of free people up to live

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Speaker 1: in the society where jobs are disappearing, Like truck driving

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Speaker 1: is the number one job in America and that will

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Speaker 1: eventually be gone. But if you have a thousand dollars

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Speaker 1: a month and you're calling it a freedom dividend and

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Speaker 1: it's for people, it's for everybody, then you need to

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Speaker 1: pair that with you are able to survive on a

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Speaker 1: thousand dollars a month. You can have a you can

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Speaker 1: have you can get shelter, you can get food, and

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Speaker 1: you can get clean water and get all these things.

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Speaker 1: If you have a thousand dollars a month, right, Like

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Speaker 1: thousand dollars a month as is doesn't really help people,

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Speaker 1: especially if you're taking away there are other benefits, So

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Speaker 1: it would be helpful to people if they were able

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Speaker 1: to get like if we had functioning food stamps, if

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Speaker 1: we had a like if we had um a universal

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Speaker 1: health care system, if his plan didn't involve like kind

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Speaker 1: of the gutting and reduction of like food stamps for Medica. Yeah,

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Speaker 1: he has for Medicare for all. He's yeah, he's on

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Speaker 1: board with that now. But like it doesn't work just

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Speaker 1: on its own, and it doesn't work if you're also

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Speaker 1: cutting these other social services that people need, because like, um,

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Speaker 1: you know, a thousand dollars a month isn't nothing. It

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Speaker 1: could significantly help people, but if you're also cutting their

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Speaker 1: access to other benefits, than like you're kind of just

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Speaker 1: robbing Peter to pay also Peter, Yeah, Peter and Peter

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Speaker 1: Peters still fucked. It just doesn't go very far. And

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Speaker 1: then you're getting people and and he says it's to

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Speaker 1: encourage entrepreneurship, Like that's what we need in America more entrepreneurship,

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Speaker 1: And like, I understand the idea of wanting to promote

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Speaker 1: and encourage growth and progress and all of that, but

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Speaker 1: really that does to me is that it continues to

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Speaker 1: um uh exacerbate the income inequality gap. So like people

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Speaker 1: that have more money, uh will be getting this a thousand,

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Speaker 1: like maybe they will have more money to play with

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Speaker 1: to encourage entrepreneurship. People that need money are still going

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Speaker 1: to be needing to spend that on their food in

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Speaker 1: their basic living expenses. Right, and then two or three

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Speaker 1: weeks go by and they're like, well, that freedom dividend

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Speaker 1: is gone, and I still he did the map on

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Speaker 1: the way over here that comes out to like six

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Speaker 1: dollars an hour or like four hours a week. It's

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Speaker 1: like something like that, which again it's like I don't know.

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Speaker 1: If you're giving people thousand dollars a month and you're like,

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Speaker 1: now this is good, then make sure that it can

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Speaker 1: It can help people survive even if they like if

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Speaker 1: they're on disability or like they have they just lost

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Speaker 1: their job, or they have a medical emergency or something. Well,

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Speaker 1: at least I can pay rent and food with this

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Speaker 1: freedom dividend, Right, Um. I think one of the just

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Speaker 1: one of the like most insidious things I think and

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Speaker 1: clever things that the Founding Fathers did was not give

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Speaker 1: us a U B. I. Well. The phrase life liberty

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Speaker 1: and the pursuit of happiness. The pursuit of happiness was

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Speaker 1: not the original phrasing. It was life, liberty and property.

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Speaker 1: But they were like, oh, yeah, you can't guarantee property,

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Speaker 1: and we're gonna change it to pursuit of happiness and

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Speaker 1: this sort of vague idea. UM. And I don't know.

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Speaker 1: I just think it's yeah, and it's just I don't here.

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Speaker 1: I don't think that U B. I is. I think

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Speaker 1: it's an important conversation and I'm glad that some that

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Speaker 1: we're having it. I just think this specifically is the

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Speaker 1: wrong plan and um and I don't want that to

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Speaker 1: detract from people's acceptance of the idea that we might

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Speaker 1: need to keep having this conversation in the future as

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Speaker 1: this is increasing. Do you know what I mean? UM,

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Speaker 1: that's kind of my perspective on your freedom dividend. It's

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Speaker 1: not a terrible idea, but when you're not using it

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Speaker 1: to screw over people on food stamps or uh do

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Speaker 1: it's collaterally doing that. And then Yang made waves in

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Speaker 1: September with a stunt that he did at the Democratic

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Speaker 1: Debate when he announced that he will give away of

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Speaker 1: Freedom dividend to ten families thousand dollars a month for

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Speaker 1: a year for each family. UM, the funds are coming

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Speaker 1: from his campaign and we'll pay out even Fiang does

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Speaker 1: not become president UM or the nominee. But he's been

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Speaker 1: accused of bribing voters by this, uh doing something illegal.

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Speaker 1: But PolitiFact reach out to the FC FEC spokesman, spokeswoman

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Speaker 1: excuse me, Judith Ingram uh and they said it's not

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Speaker 1: covered by the FEC commissioned rules for the Federal Election

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Speaker 1: Campaign Actum. It's kind of a legal gray area, uh,

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Speaker 1: you know, and it's kind of a shaky legal reasoning

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Speaker 1: that they have against him because it can be argued

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Speaker 1: that it's a campaign promotion. UM, but it is definitely

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Speaker 1: a stunt. Yeah. I don't really see it as any

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Speaker 1: different though than um spending money on an advertisement or whatever.

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Speaker 1: That's essentially what he's doing. That's what this is for,

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Speaker 1: is to make political ads. Like I don't yeah, anyone

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Speaker 1: making a big deal about that, Like it seems Um,

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Speaker 1: pretty like a pretty reasonable thing to do. Now, I

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Speaker 1: don't think it would actually makes an argument in favor

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Speaker 1: of U b I, because what I would judge the

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Speaker 1: success or failure of a UBI program on is its

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Speaker 1: ability to help people who are in trouble. Um. Reaching

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Speaker 1: out to the Yank campaign for some probably not there

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Speaker 1: you probably not a lot of people who are on disability,

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Speaker 1: who are on Medicare, who are on who require food stamps, um, Like,

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Speaker 1: those are the people I'm curious to see, Like, does

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Speaker 1: this really help them? Does There's a lot of data

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Speaker 1: that U b I could help people in those positions,

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Speaker 1: But like, I don't. We're not gonna learn anything from this.

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Speaker 1: But I think it's a reasonably intelligent marketing strategy absolutely.

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Speaker 1: I I just you know, I call it a stunt.

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Speaker 1: I bring this up to transition after the ad break,

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Speaker 1: we're about to take UH to talk about the fact

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Speaker 1: that he is a social media savvy candidate. He is

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Speaker 1: using the Internet in a different way than other candidates

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Speaker 1: are or have in the past. UH. And that's kind

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Speaker 1: of an example of it. But we're gonna get to

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Speaker 1: that in a minute because we've got to talk about

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Speaker 1: products and services, because yeah, I am so. I mean

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Speaker 1: when you said, uh, social media, uh that that that

427
00:24:00,440 --> 00:24:06,440
Speaker 1: that got my pants exploding, you said ads make double exploding. Um,

428
00:24:06,760 --> 00:24:12,080
Speaker 1: it's more like a friction burn. But the yeah, lots

429
00:24:12,080 --> 00:24:15,399
Speaker 1: of friction burns. You guys can cut wonderful friction burns.

430
00:24:15,840 --> 00:24:31,280
Speaker 1: This is terrible. These ads have made us together everything,

431
00:24:31,480 --> 00:24:37,399
Speaker 1: So don't don't. We're back and I now have headphones

432
00:24:37,480 --> 00:24:42,080
Speaker 1: on M and am competently recording this podcast again willing

433
00:24:42,160 --> 00:24:44,160
Speaker 1: we realized he had a TV on in the background.

434
00:24:44,920 --> 00:24:48,080
Speaker 1: Oh no, yeah, it's terrible. It's all fine. You guys

435
00:24:48,160 --> 00:24:50,320
Speaker 1: maybe won't even notice because Dan was going to edit

436
00:24:50,400 --> 00:24:53,239
Speaker 1: that out, but now that we but now we've mentioned it,

437
00:24:53,440 --> 00:24:56,200
Speaker 1: so maybe he was gonna happen. I feel like it's

438
00:24:56,200 --> 00:24:59,880
Speaker 1: important to mention daniel sacrifices for this podcast. Thank you, Dan,

439
00:25:00,119 --> 00:25:03,920
Speaker 1: Like like a seventeen year old boy from Kentucky going

440
00:25:03,960 --> 00:25:09,760
Speaker 1: ashore on Omaha Beach on d day nine, Daniel is

441
00:25:09,800 --> 00:25:12,160
Speaker 1: going to have to scrub the sounds of the TV

442
00:25:12,240 --> 00:25:16,720
Speaker 1: in the background out of my podcast recording. That's the

443
00:25:16,720 --> 00:25:19,600
Speaker 1: comparison I was going to make too. Thank you. Okay,

444
00:25:19,640 --> 00:25:21,640
Speaker 1: back to how Yang is helping make this the worst

445
00:25:21,720 --> 00:25:24,879
Speaker 1: year ever like a seventeen year old boy from Canada.

446
00:25:26,880 --> 00:25:32,800
Speaker 1: Yang's supporters are known online as the Yang Gang. Andrew Andrews. God,

447
00:25:32,840 --> 00:25:37,560
Speaker 1: that's our None of it works. Go back to the

448
00:25:37,560 --> 00:25:43,040
Speaker 1: time machine noises Yang Gang, don't Yang Gang in and

449
00:25:43,080 --> 00:25:46,440
Speaker 1: of itself is enough to make this the worst year.

450
00:25:47,280 --> 00:25:51,639
Speaker 1: I just think it's so dumb um rhymes, unlike the

451
00:25:51,640 --> 00:25:55,840
Speaker 1: Trump train. You know, you're right, that is out of

452
00:25:56,960 --> 00:25:59,919
Speaker 1: it was weird. Andrew andrew all of it all right,

453
00:26:00,040 --> 00:26:05,360
Speaker 1: just keep doing it, oh Trump train. I understand. As

454
00:26:05,400 --> 00:26:07,920
Speaker 1: I mentioned, it is undeniable that Andrew Yang has done

455
00:26:07,920 --> 00:26:11,359
Speaker 1: an excellent job harnessing social media to gain traction and

456
00:26:11,440 --> 00:26:14,840
Speaker 1: appeal to a wide swath of voters. He's made himself

457
00:26:14,840 --> 00:26:18,160
Speaker 1: into the meme king, which again is a really great

458
00:26:18,200 --> 00:26:22,119
Speaker 1: skill to have as an entrepreneur. Uh, there's something about

459
00:26:22,119 --> 00:26:27,560
Speaker 1: it as from a presidential candidate that I don't love. Um.

460
00:26:27,960 --> 00:26:33,359
Speaker 1: Sometimes his campaign feels gamified, you know, like that corporate

461
00:26:33,760 --> 00:26:36,879
Speaker 1: term for applying game design to have the situation to

462
00:26:36,920 --> 00:26:39,399
Speaker 1: make them more appealing. And UM, well it feels that

463
00:26:39,400 --> 00:26:41,200
Speaker 1: way because it is that way. That's what he's doing.

464
00:26:41,200 --> 00:26:43,840
Speaker 1: He comes from the corporate tech world and he's taking

465
00:26:43,880 --> 00:26:48,080
Speaker 1: that into this presidential campaign U. Surprisingly, his supporters seem

466
00:26:48,160 --> 00:26:50,520
Speaker 1: to be drawn from all across the political spectrum, with

467
00:26:50,720 --> 00:26:54,000
Speaker 1: crazy memes showing up all over the internet, especially on Reddit.

468
00:26:54,240 --> 00:26:56,280
Speaker 1: I've got this one here, Cody. Do you want to

469
00:26:56,320 --> 00:26:59,280
Speaker 1: describe it for us? Oh? Yeah, it's some. It's a

470
00:26:59,440 --> 00:27:02,320
Speaker 1: meme bunch of people's swords, you know, meeting the swords

471
00:27:02,320 --> 00:27:05,879
Speaker 1: in the middle. One of the people's Bernie Bros x

472
00:27:05,920 --> 00:27:09,320
Speaker 1: Mega Bros Zoomers that are turning eighteen and they're all

473
00:27:09,400 --> 00:27:13,199
Speaker 1: joining swords together to equal the Yang Gangang Gang. So

474
00:27:13,240 --> 00:27:17,719
Speaker 1: that's a nice example of the memes sloating around. UM.

475
00:27:18,160 --> 00:27:19,719
Speaker 1: To be fair, there are there are also like a

476
00:27:19,720 --> 00:27:23,160
Speaker 1: lot of racist anti Yang memes coming out and that's

477
00:27:23,359 --> 00:27:26,280
Speaker 1: very ugly. UM. But he's very good at branding, which

478
00:27:26,280 --> 00:27:29,119
Speaker 1: is why he's garnered as much support as he has UM.

479
00:27:29,119 --> 00:27:31,639
Speaker 1: According to The Daily Beast, Yang saw a surge of

480
00:27:31,640 --> 00:27:34,320
Speaker 1: new supporters after an appearance on The Joe Rogan Experience

481
00:27:34,320 --> 00:27:38,320
Speaker 1: in February. He's also been on Tucker Carlson's show. Uh.

482
00:27:38,480 --> 00:27:43,040
Speaker 1: He's even appeared at a Turning Point USA event. Interesting

483
00:27:43,359 --> 00:27:46,879
Speaker 1: U and according to The Virtue, white nationalist supporters have

484
00:27:47,000 --> 00:27:51,520
Speaker 1: begun selectively choosing statements from Yang uh to support the

485
00:27:51,560 --> 00:27:54,200
Speaker 1: idea that he wants to to stop the decline of

486
00:27:54,240 --> 00:27:57,920
Speaker 1: the white race. UH, something that which Yang, the kid

487
00:27:57,920 --> 00:28:01,080
Speaker 1: of Taiwanese immigrants, grew up being vicious bullied. You know,

488
00:28:01,160 --> 00:28:04,280
Speaker 1: he's emphatically disavowing that support. He says, I'd announced and

489
00:28:04,359 --> 00:28:08,240
Speaker 1: disavow hatred, bigotry, racism, white nationalism, anti semitism, and the

490
00:28:08,280 --> 00:28:10,520
Speaker 1: alt right in all its many forms, full stop for

491
00:28:10,560 --> 00:28:12,679
Speaker 1: anyone with his agenda. We do not want your support,

492
00:28:12,720 --> 00:28:14,439
Speaker 1: we do not want your votes. You're not welcome in

493
00:28:14,440 --> 00:28:17,720
Speaker 1: this campaign. Cool, but it is unclear why so many

494
00:28:17,760 --> 00:28:21,120
Speaker 1: all right UH types are attracted to Yang. It might

495
00:28:21,160 --> 00:28:25,199
Speaker 1: come from his focus on automation in the opioid crisis, um,

496
00:28:25,400 --> 00:28:28,320
Speaker 1: which you know can be seen as helping Middle America.

497
00:28:28,680 --> 00:28:33,560
Speaker 1: I can answer that, Um yeah, they talk about it

498
00:28:33,600 --> 00:28:35,880
Speaker 1: a lot. So there's there's a chunk of the sort

499
00:28:35,920 --> 00:28:37,720
Speaker 1: of fascist right that, like a lot of them, were

500
00:28:37,800 --> 00:28:39,960
Speaker 1: very excited after Trump won and then have kind of

501
00:28:40,000 --> 00:28:43,360
Speaker 1: been increasingly dejected in the years since when he didn't,

502
00:28:43,440 --> 00:28:46,360
Speaker 1: you know, kill all the Jews or any of the

503
00:28:46,360 --> 00:28:51,480
Speaker 1: other things they hope wasn't explicitly doing their Yeah. Um

504
00:28:51,600 --> 00:28:54,720
Speaker 1: so they've they've been I don't know that there's a

505
00:28:54,760 --> 00:28:57,320
Speaker 1: bunch of different terms they'd use for it, but like

506
00:28:57,400 --> 00:29:01,520
Speaker 1: some of them have kind of gotten come to the

507
00:29:01,960 --> 00:29:04,920
Speaker 1: understanding like there's no saving the world by their standards,

508
00:29:04,960 --> 00:29:07,880
Speaker 1: which means ending the white genocide that they think is

509
00:29:07,880 --> 00:29:11,160
Speaker 1: going on, and there's no political solution, so the best

510
00:29:11,200 --> 00:29:13,680
Speaker 1: thing they can do is get a thousand dollars a

511
00:29:13,720 --> 00:29:16,840
Speaker 1: month into house with some friends and play video games

512
00:29:16,880 --> 00:29:19,080
Speaker 1: until it all collapses. Like that really is a big

513
00:29:19,200 --> 00:29:22,320
Speaker 1: chunk of it. Um is these people who are just like, well,

514
00:29:22,360 --> 00:29:25,120
Speaker 1: I might as well get some money. It's not it's

515
00:29:25,160 --> 00:29:27,160
Speaker 1: not quite like black pilling, but it is in that

516
00:29:27,880 --> 00:29:31,920
Speaker 1: I'm just like, well, we didn't do it. Yeah, And

517
00:29:31,960 --> 00:29:36,520
Speaker 1: that's it's upsetting. I mean, it's like, okay, so we

518
00:29:36,600 --> 00:29:39,680
Speaker 1: have this interesting conversation about UBI and all this stuff,

519
00:29:39,720 --> 00:29:42,040
Speaker 1: and in the people that it's getting the most traction

520
00:29:42,080 --> 00:29:45,360
Speaker 1: with or the worst, the very worst of us. Um,

521
00:29:45,600 --> 00:29:48,360
Speaker 1: it's probably like some slightly related even of just like

522
00:29:48,400 --> 00:29:51,360
Speaker 1: because one of his main slogans is not right, not

523
00:29:51,520 --> 00:29:54,680
Speaker 1: left forward, and I think them it's like, all right,

524
00:29:54,680 --> 00:29:57,600
Speaker 1: well let's just like funk at all and do whatever

525
00:29:57,680 --> 00:30:00,640
Speaker 1: crazy thing, just sort of like destabilize stuff and sort

526
00:30:00,680 --> 00:30:05,000
Speaker 1: of hoping that shaking things up will either lead to

527
00:30:05,360 --> 00:30:08,640
Speaker 1: that collapse or just yeah, be all right, Well we're

528
00:30:08,680 --> 00:30:11,840
Speaker 1: gonna be gamers for a thousand bucks a month from

529
00:30:11,840 --> 00:30:15,200
Speaker 1: now on, we'll form our own ethnic state and it

530
00:30:15,200 --> 00:30:20,280
Speaker 1: will be a big house. It was video games, and

531
00:30:20,360 --> 00:30:24,960
Speaker 1: everyone will be white. Uh. Other than universal basic income,

532
00:30:25,440 --> 00:30:27,800
Speaker 1: Yang is for medicare for all. Like we talked about

533
00:30:28,040 --> 00:30:31,760
Speaker 1: dealing with climate change very vaguely though, that's the thing.

534
00:30:32,040 --> 00:30:33,560
Speaker 1: So that's the thing when you're looking at it. It's

535
00:30:33,600 --> 00:30:36,760
Speaker 1: a lot of stuff that he's just generally in alignment

536
00:30:36,880 --> 00:30:41,080
Speaker 1: with liberal policies, but dealing with climate change, it's like

537
00:30:41,640 --> 00:30:46,960
Speaker 1: rejoining the Pairs Climate Agreement. But okay, what else? Yeah,

538
00:30:47,280 --> 00:30:49,200
Speaker 1: you know, um, And he talks a lot about human

539
00:30:49,320 --> 00:30:53,040
Speaker 1: centered capitalism, the basic ideas that the base unit in

540
00:30:53,080 --> 00:30:57,160
Speaker 1: society should be people in human welfare, not money. Um.

541
00:30:57,200 --> 00:31:01,640
Speaker 1: But there's nothing more specific. I don't know because really

542
00:31:01,680 --> 00:31:04,920
Speaker 1: what that means, you know, it's it's I'd like to see,

543
00:31:05,080 --> 00:31:07,960
Speaker 1: you know, it's just stuff that's like your I mean,

544
00:31:07,960 --> 00:31:10,120
Speaker 1: I think there's a way of looking at ubi where

545
00:31:10,120 --> 00:31:12,440
Speaker 1: you can be putting people in the center, and there's

546
00:31:12,440 --> 00:31:14,320
Speaker 1: a way of looking at UBI where you're putting money

547
00:31:14,360 --> 00:31:17,320
Speaker 1: in the center, and Yang's plan strikes me as putting

548
00:31:17,320 --> 00:31:20,080
Speaker 1: money in the center, especially since it's kind of paired

549
00:31:20,120 --> 00:31:22,640
Speaker 1: with with cuts to the social programs that people can

550
00:31:22,760 --> 00:31:26,719
Speaker 1: use UM and benefit from UM. So the focus is

551
00:31:26,760 --> 00:31:29,160
Speaker 1: just that like, oh, these people's problems can be solved

552
00:31:29,200 --> 00:31:31,440
Speaker 1: with money, and it's like, no, there's actually other resources

553
00:31:31,480 --> 00:31:34,440
Speaker 1: that we need that our society does provide, although it

554
00:31:34,440 --> 00:31:38,040
Speaker 1: doesn't provide enough of them, and like UBI could be

555
00:31:38,160 --> 00:31:40,760
Speaker 1: part of a reformation of society that puts people at

556
00:31:40,760 --> 00:31:43,760
Speaker 1: the center. But just giving them the money isn't isn't

557
00:31:43,800 --> 00:31:47,840
Speaker 1: the answer, yo, Right, like you were saying earlier, like okay,

558
00:31:47,880 --> 00:31:51,680
Speaker 1: but how about access to a plan about affordable housing,

559
00:31:52,080 --> 00:31:56,120
Speaker 1: a plan for if you're not having a mental healthcare

560
00:31:56,280 --> 00:31:59,040
Speaker 1: all of it healthcare? Yeah, if you're not providing these

561
00:31:59,120 --> 00:32:01,760
Speaker 1: basic needs, Like if you have these basic needs met,

562
00:32:01,800 --> 00:32:05,560
Speaker 1: then you are more likely to aspire to greater things

563
00:32:05,640 --> 00:32:08,560
Speaker 1: and like work to you know, you are these needs

564
00:32:08,600 --> 00:32:10,560
Speaker 1: are taken care of. Now I have these other emotional needs,

565
00:32:10,560 --> 00:32:12,120
Speaker 1: now have these spiritual needs, and you sort of like

566
00:32:12,160 --> 00:32:14,320
Speaker 1: build yourself up when he's talking about it, like he

567
00:32:14,320 --> 00:32:17,040
Speaker 1: doesn't want to, like you said, center money. But one

568
00:32:17,040 --> 00:32:19,960
Speaker 1: of the solutions is like money, well, money equals anything.

569
00:32:20,440 --> 00:32:23,880
Speaker 1: It's not food necessarily, it's not housing necessarily. Is just

570
00:32:23,920 --> 00:32:26,480
Speaker 1: like you can spend this money on anything, because money

571
00:32:26,640 --> 00:32:29,480
Speaker 1: is a thing that we made up, you know, to

572
00:32:29,640 --> 00:32:33,840
Speaker 1: like people anything. Um. So that's that's why his approach

573
00:32:34,000 --> 00:32:36,400
Speaker 1: sort of rubs me the wrong way to where it's like,

574
00:32:36,960 --> 00:32:39,440
Speaker 1: but what are we actually doing if you're saying that

575
00:32:39,520 --> 00:32:43,040
Speaker 1: you want to focus on human beings, but you're just

576
00:32:43,240 --> 00:32:47,400
Speaker 1: giving them a thing that can pay for like literally anything.

577
00:32:48,040 --> 00:32:50,600
Speaker 1: Um yeah, it just doesn't. It doesn't. It doesn't. It

578
00:32:50,600 --> 00:32:54,239
Speaker 1: doesn't speak to what he what he wants saying that

579
00:32:54,320 --> 00:32:57,400
Speaker 1: he wanted to speak to you. He's also very vague

580
00:32:57,480 --> 00:33:02,600
Speaker 1: on foreign policy, which isn't surprising given his literal zero

581
00:33:02,840 --> 00:33:07,200
Speaker 1: years of experience. Uh. He says that America has made mistakes,

582
00:33:07,280 --> 00:33:10,000
Speaker 1: but that we've been a positive force in world history,

583
00:33:10,360 --> 00:33:13,600
Speaker 1: leading to the spread of peace, prosperity, and democracy. Um.

584
00:33:15,360 --> 00:33:19,800
Speaker 1: I know, it's just peace we spread to Cambodia. It's

585
00:33:19,840 --> 00:33:25,440
Speaker 1: like it's like it's attempt at being a just diplomatic

586
00:33:24,320 --> 00:33:30,360
Speaker 1: politicians speak, but it's not very good politicians, right, is

587
00:33:30,360 --> 00:33:33,000
Speaker 1: super vague and also, I mean it doesn't speak to

588
00:33:33,080 --> 00:33:35,000
Speaker 1: our current moment at all. No, it doesn't. I mean

589
00:33:35,080 --> 00:33:37,440
Speaker 1: regarding the border, he says that there are issues that

590
00:33:37,480 --> 00:33:39,720
Speaker 1: need to be fixed to provide security for Americans and

591
00:33:39,760 --> 00:33:45,200
Speaker 1: equity in our immigration system. Okay, elaborate, you know, yeah,

592
00:33:45,480 --> 00:33:47,920
Speaker 1: you know. And as I've said, you know, he does

593
00:33:49,000 --> 00:33:52,800
Speaker 1: support the obvious liberal policies l g B, t Q rights,

594
00:33:52,800 --> 00:33:56,840
Speaker 1: abortion rights, campaign finance reform, common sense gun reform, all

595
00:33:56,880 --> 00:33:59,560
Speaker 1: of that. But then there's other things that just kind

596
00:33:59,560 --> 00:34:02,640
Speaker 1: of seems silly or not well thought out, or just

597
00:34:02,800 --> 00:34:06,480
Speaker 1: kind of pandering to our social media addled brains. Uh.

598
00:34:06,520 --> 00:34:11,640
Speaker 1: For example, this one's fun making taxes fun. Currently paying

599
00:34:11,680 --> 00:34:14,239
Speaker 1: taxes as a slog, let's make it a celebration. That's

600
00:34:14,239 --> 00:34:17,080
Speaker 1: from his website. Uh. This is basically like a tax

601
00:34:17,160 --> 00:34:20,239
Speaker 1: day rebrand, which is okay, that's there's something to that.

602
00:34:20,320 --> 00:34:22,680
Speaker 1: But there there are added perks of citizens could direct

603
00:34:22,680 --> 00:34:25,560
Speaker 1: one percent of their taxes to a specific project. You know,

604
00:34:25,760 --> 00:34:31,239
Speaker 1: it's fine, but okay, Uh, modern time banking, which would

605
00:34:31,239 --> 00:34:35,240
Speaker 1: give you points for doing things like volunteering, working at fairs,

606
00:34:35,480 --> 00:34:40,040
Speaker 1: even fixing a neighbor's appliance. Uh, that sounds not at

607
00:34:40,040 --> 00:34:44,480
Speaker 1: all like China's social current. Yeah, and then you can

608
00:34:44,480 --> 00:34:48,640
Speaker 1: exchange those points for prices, I guess, like the website

609
00:34:48,760 --> 00:34:51,240
Speaker 1: suggests trading in your points for tickets to a local

610
00:34:51,280 --> 00:34:54,080
Speaker 1: ball game or a chance to talk to your elected officials.

611
00:34:54,560 --> 00:34:56,640
Speaker 1: Aren't we supposed to be able to talk to them anyway?

612
00:34:59,719 --> 00:35:02,440
Speaker 1: You how to fix? You got to fix seven lawnmowers

613
00:35:02,480 --> 00:35:07,239
Speaker 1: to talk to you? Like, wait, what is this? What

614
00:35:07,400 --> 00:35:10,200
Speaker 1: is that's? Because that's that's also that speaks to what

615
00:35:10,200 --> 00:35:13,080
Speaker 1: we've been talking about of like you're saying that you

616
00:35:13,160 --> 00:35:17,200
Speaker 1: get like human community points for these acts of things

617
00:35:17,200 --> 00:35:20,319
Speaker 1: and then for that. The example of the tickets for

618
00:35:20,320 --> 00:35:22,319
Speaker 1: a baseball game is weird because it's like you get

619
00:35:22,400 --> 00:35:24,960
Speaker 1: universal basic income, which is money which could buy you

620
00:35:25,000 --> 00:35:29,560
Speaker 1: baseball tickets, or you can get your human points and

621
00:35:29,600 --> 00:35:33,600
Speaker 1: then use those to buy baseball tickets too. It's weird food,

622
00:35:33,840 --> 00:35:38,960
Speaker 1: like do you get food if you fix a lawnmowers? World,

623
00:35:39,040 --> 00:35:43,480
Speaker 1: we all get baseball tickets. And that's beautiful, beautiful, it's

624
00:35:43,480 --> 00:35:45,800
Speaker 1: just so interesting, Like there's elements of it that feel

625
00:35:46,360 --> 00:35:52,040
Speaker 1: like some weird socialist thing, but also he's very much

626
00:35:52,080 --> 00:35:56,200
Speaker 1: a capitalist and human centered capitalism, and so it's unclear.

627
00:35:56,360 --> 00:36:00,200
Speaker 1: It's like he's reaching out for the things that might

628
00:36:00,200 --> 00:36:03,759
Speaker 1: appeal to people on like an instinctual like, oh that

629
00:36:03,800 --> 00:36:07,000
Speaker 1: sounds kind of cool way, but it's not substantive, it's

630
00:36:07,080 --> 00:36:12,000
Speaker 1: not well thought out. Yeah, it's still yeah, Still I

631
00:36:12,040 --> 00:36:14,040
Speaker 1: get what he's trying to go for of like human

632
00:36:14,120 --> 00:36:17,640
Speaker 1: centered capitalism, like that sounds like, oh, well that's better

633
00:36:17,719 --> 00:36:21,240
Speaker 1: than the other kind, but it still seems to center

634
00:36:21,280 --> 00:36:24,319
Speaker 1: on money, right, Yeah, But it's like still trying to

635
00:36:24,360 --> 00:36:27,799
Speaker 1: appeal to people that were maybe Bernie supporters while being

636
00:36:28,200 --> 00:36:31,200
Speaker 1: very different from what Bernie is offering, you know what

637
00:36:31,239 --> 00:36:36,799
Speaker 1: I mean? UM, And it's it's it's still denying I

638
00:36:36,840 --> 00:36:41,440
Speaker 1: think at a fundamental level the value that UM social

639
00:36:41,440 --> 00:36:44,920
Speaker 1: programs aimed at actually helping people can have, like like

640
00:36:45,360 --> 00:36:48,799
Speaker 1: giving people something besides UM that that aren't treated as

641
00:36:48,800 --> 00:36:53,759
Speaker 1: a commodity. So when you have uh, like like state

642
00:36:53,800 --> 00:36:56,640
Speaker 1: sponsored daycare, which many nations in the West half for kids,

643
00:36:56,800 --> 00:37:00,000
Speaker 1: when you have paternity leave for fathers, UM in addition

644
00:37:00,000 --> 00:37:03,520
Speaker 1: into maternity leave which many states that's not a monetize

645
00:37:03,520 --> 00:37:05,200
Speaker 1: herbal thing. I guess you could say that like, oh,

646
00:37:05,280 --> 00:37:06,719
Speaker 1: but if you're getting a thousand dollars a month, you

647
00:37:06,719 --> 00:37:09,520
Speaker 1: don't have to work. But like that doesn't go super

648
00:37:09,560 --> 00:37:13,600
Speaker 1: far with the baby. Um, having those things, having those

649
00:37:13,640 --> 00:37:18,360
Speaker 1: things which are not easily um priced, having like access

650
00:37:18,360 --> 00:37:20,279
Speaker 1: to mental health care and stuff that you don't have

651
00:37:20,400 --> 00:37:23,359
Speaker 1: to budget for because you know people you could again,

652
00:37:23,360 --> 00:37:25,840
Speaker 1: you could say you could spend you know, six d

653
00:37:26,000 --> 00:37:27,840
Speaker 1: dollars a month from your thousand dollars a month on

654
00:37:28,239 --> 00:37:30,399
Speaker 1: seeing a therapist four times a month. But how many

655
00:37:30,400 --> 00:37:32,040
Speaker 1: people are going to do that when they have rent

656
00:37:32,080 --> 00:37:37,879
Speaker 1: in food bills do? Yeah, it's it's just this, It's

657
00:37:37,920 --> 00:37:39,600
Speaker 1: not that U b I is a bad idea. I

658
00:37:39,640 --> 00:37:41,720
Speaker 1: think you b I might be part of a solution

659
00:37:41,760 --> 00:37:44,000
Speaker 1: to many of the social ills we have. But treating

660
00:37:44,040 --> 00:37:47,360
Speaker 1: it as the center of the solution, I think mistakes

661
00:37:47,400 --> 00:37:50,440
Speaker 1: the center of many of the problems. Yeah. I agree

662
00:37:50,440 --> 00:37:55,319
Speaker 1: with you completely to take Yeah, I mean you have to. Yeah,

663
00:37:55,480 --> 00:37:59,640
Speaker 1: when you're not pairing it with giving people the things

664
00:37:59,840 --> 00:38:05,479
Speaker 1: they need. Um the text thing sounds nice, sounds There's

665
00:38:05,520 --> 00:38:09,000
Speaker 1: one more that Vice reported about. I mean, there's lots more.

666
00:38:09,239 --> 00:38:13,160
Speaker 1: This is another weird one. Reduce harm to children caused

667
00:38:13,200 --> 00:38:18,360
Speaker 1: by smartphones a plan UH by creating a Department of

668
00:38:18,400 --> 00:38:22,640
Speaker 1: the Attention Economy, which would regulate smartphones, social media gaming

669
00:38:22,800 --> 00:38:26,719
Speaker 1: and chat apps. I don't know, man, um it's all

670
00:38:26,760 --> 00:38:28,319
Speaker 1: that time is interesting. It's the kind of thing that

671
00:38:28,400 --> 00:38:31,279
Speaker 1: like you want, uh, people to be out there talking

672
00:38:31,360 --> 00:38:34,440
Speaker 1: about like even Yeah, but I don't necessarily need it

673
00:38:34,480 --> 00:38:37,960
Speaker 1: to be a presidential platform. Um. But maybe it's good.

674
00:38:38,000 --> 00:38:40,359
Speaker 1: Maybe that's good that we have these conversations and we're

675
00:38:40,360 --> 00:38:43,040
Speaker 1: having you know, he's putting forth these things that we're

676
00:38:43,040 --> 00:38:47,480
Speaker 1: having these conversations. But yeah, I I actually don't like I.

677
00:38:47,480 --> 00:38:49,960
Speaker 1: I don't think Andrew Yang has a real chance of

678
00:38:50,280 --> 00:38:53,040
Speaker 1: winning the presidency just looking at his poll numbers, and

679
00:38:53,080 --> 00:38:55,880
Speaker 1: I don't think he has a very comprehensive attitude for

680
00:38:55,920 --> 00:38:58,560
Speaker 1: what's needed in the country. I do think it's good

681
00:38:58,600 --> 00:39:01,399
Speaker 1: that people are talking about you be I at least

682
00:39:01,440 --> 00:39:04,320
Speaker 1: some people as as a thing that might actually work

683
00:39:04,360 --> 00:39:07,440
Speaker 1: as opposed to just um it being a thing. I

684
00:39:07,440 --> 00:39:09,880
Speaker 1: read about zines that are printed by my friends and

685
00:39:09,960 --> 00:39:14,280
Speaker 1: handed out a protests. So UM, I'm on board with

686
00:39:14,280 --> 00:39:17,400
Speaker 1: with what he's done in regards to that. UM. I

687
00:39:17,520 --> 00:39:20,640
Speaker 1: just I hope that we can arrive at kind of

688
00:39:20,640 --> 00:39:25,000
Speaker 1: a more approach, like a more realistic way to institute

689
00:39:25,000 --> 00:39:28,080
Speaker 1: it totally. Uh, We're gonna have to take a quick

690
00:39:28,080 --> 00:39:31,120
Speaker 1: break for you know, products and services and zone and

691
00:39:31,160 --> 00:39:35,279
Speaker 1: so forth, and then yep, but then we're gonna come back.

692
00:39:35,320 --> 00:39:40,120
Speaker 1: And then finished talking about the Yang Gang Andrew Andrews

693
00:39:40,120 --> 00:39:51,080
Speaker 1: well together everything, So don't don't then we're back from

694
00:39:51,080 --> 00:39:55,480
Speaker 1: those ads. There were great, weren't things loved? I know

695
00:39:55,640 --> 00:39:57,879
Speaker 1: and I know you the listeners love ads too. Yeah,

696
00:39:57,880 --> 00:40:01,239
Speaker 1: who doesn't buy up some product and stuff? It's my

697
00:40:01,280 --> 00:40:04,520
Speaker 1: favorite part of uh when I'm streaming, Like, I hope

698
00:40:04,520 --> 00:40:06,360
Speaker 1: an ad comes up. I sure, hope I have a

699
00:40:06,400 --> 00:40:10,799
Speaker 1: commercial break right now. Um. So, yeah, we left off

700
00:40:11,200 --> 00:40:13,960
Speaker 1: talking about some of his policies. There's one more policy

701
00:40:14,000 --> 00:40:16,520
Speaker 1: I wanted to bring up, and that was his policy

702
00:40:16,600 --> 00:40:21,640
Speaker 1: to closely monitor the mental health of White House staff. Uh.

703
00:40:21,680 --> 00:40:26,320
Speaker 1: And this is clearly a direct response to our current president.

704
00:40:26,840 --> 00:40:30,560
Speaker 1: And it does make sense to have mental health support

705
00:40:30,640 --> 00:40:33,000
Speaker 1: for people that work on a high stress situation and whatnot.

706
00:40:33,040 --> 00:40:36,080
Speaker 1: But there's a world where that's a little bit dangerous.

707
00:40:36,120 --> 00:40:39,440
Speaker 1: I don't know if you're like, you know, what if

708
00:40:39,480 --> 00:40:41,759
Speaker 1: if it's the wrong pair of hands that are in

709
00:40:41,800 --> 00:40:47,000
Speaker 1: the White White House that are you know, rooting people out,

710
00:40:47,040 --> 00:40:49,200
Speaker 1: like is there are people gonna get fired for having

711
00:40:49,239 --> 00:40:53,520
Speaker 1: anxiety and depressions. And you know, it's like it's very

712
00:40:53,560 --> 00:40:59,600
Speaker 1: easy to pin mental health on people who are just

713
00:41:00,080 --> 00:41:04,040
Speaker 1: bad actors. Also like and that seems unfair to right

714
00:41:04,160 --> 00:41:08,520
Speaker 1: blaming Yeah, we especially now and obviously the president does

715
00:41:08,560 --> 00:41:13,360
Speaker 1: this too, but like blaming terrible behavior on mental earliest

716
00:41:13,680 --> 00:41:16,480
Speaker 1: and then also like blaming, yeah, blaming mental eliss on

717
00:41:16,640 --> 00:41:18,279
Speaker 1: like a lot of problems that we have and sort

718
00:41:18,280 --> 00:41:22,239
Speaker 1: of conflating things that don't necessarily pair together. Um, and

719
00:41:22,600 --> 00:41:28,600
Speaker 1: just everyone should have it everybody for everybody, exactly everybody.

720
00:41:28,640 --> 00:41:32,000
Speaker 1: And even there's a reaction because he had talked about

721
00:41:32,160 --> 00:41:40,279
Speaker 1: um couples counseling, um where everyone can have yeah, and

722
00:41:40,400 --> 00:41:44,200
Speaker 1: I know, like Megan McCain was freaking out about it,

723
00:41:44,320 --> 00:41:46,319
Speaker 1: like my marriage is fine. We if we if we

724
00:41:46,320 --> 00:41:48,440
Speaker 1: are hunting in trouble, we like get drunk, we go

725
00:41:48,480 --> 00:41:51,760
Speaker 1: shoot guns in the woods and or whatever. And um,

726
00:41:51,800 --> 00:41:53,480
Speaker 1: I'm not gonna, I'm not gonna with the government like

727
00:41:53,480 --> 00:41:56,719
Speaker 1: make me go to uh go to couple's counseling and

728
00:41:56,840 --> 00:41:58,880
Speaker 1: all like all the stuff we're talking about. It's so

729
00:41:58,960 --> 00:42:03,279
Speaker 1: weird because like it's not it's not mandatory. Everything we're

730
00:42:03,280 --> 00:42:05,000
Speaker 1: talking about. It's like, no, you have if you were

731
00:42:05,200 --> 00:42:08,279
Speaker 1: a human being in this country, you have access to

732
00:42:08,320 --> 00:42:11,120
Speaker 1: this thing that benefits you. If you do it. If

733
00:42:11,160 --> 00:42:12,759
Speaker 1: you don't need it, you don't have to do it.

734
00:42:13,520 --> 00:42:15,480
Speaker 1: Do you can and it will help you help all

735
00:42:15,520 --> 00:42:18,200
Speaker 1: of us. And framing it like it's all these things

736
00:42:18,200 --> 00:42:21,120
Speaker 1: are mandatory is just so it's so disingenuous and weird.

737
00:42:21,960 --> 00:42:25,280
Speaker 1: It's it's like me getting piste off that elementary schools exist,

738
00:42:25,360 --> 00:42:27,200
Speaker 1: because what are they going to make me go? I

739
00:42:27,200 --> 00:42:33,480
Speaker 1: don't want to go learnt to ten? Trying to educational

740
00:42:33,520 --> 00:42:36,600
Speaker 1: destroy the schools, turn them down, coding. Oh hey hey,

741
00:42:36,640 --> 00:42:41,320
Speaker 1: now hey, I'm I'm I've been radicalized. You got de radicalized,

742
00:42:41,320 --> 00:42:44,160
Speaker 1: and now I'm radicalized. I'm an anti school crusader. Now

743
00:42:45,880 --> 00:42:47,640
Speaker 1: what I can do for you, Robert real quick to

744
00:42:47,680 --> 00:42:53,719
Speaker 1: de radicalize you? No, I gotta I can take out

745
00:42:53,760 --> 00:42:57,759
Speaker 1: my headphones. You are using a subscribers left and right.

746
00:42:59,080 --> 00:43:05,480
Speaker 1: I'm kind of thinking, though, Hillary, there were headlines about that,

747
00:43:05,719 --> 00:43:09,719
Speaker 1: people wanting under run um. I think that might take

748
00:43:09,719 --> 00:43:13,080
Speaker 1: away With Andrew Yang. It seems like a nice guy.

749
00:43:13,280 --> 00:43:18,279
Speaker 1: He's got some good um. When I like that he's

750
00:43:17,960 --> 00:43:21,320
Speaker 1: not billionaire, I'm glad he's talking about him, he seems

751
00:43:21,360 --> 00:43:24,759
Speaker 1: to have people's best interests at heart. Um, I don't

752
00:43:24,800 --> 00:43:27,799
Speaker 1: think he's qualified for the job. I don't even think

753
00:43:27,800 --> 00:43:30,400
Speaker 1: you can point to his history as an entrepreneur to

754
00:43:30,520 --> 00:43:33,960
Speaker 1: suggest that he is a successful leader. Like, he's had

755
00:43:34,000 --> 00:43:37,120
Speaker 1: companies that didn't work out. He became the CEO of

756
00:43:37,160 --> 00:43:41,680
Speaker 1: a company that already existed. It coincided with the recession,

757
00:43:41,880 --> 00:43:44,359
Speaker 1: and his company happened to take off and he made

758
00:43:44,400 --> 00:43:46,200
Speaker 1: a good amount of money from it. And then he

759
00:43:46,239 --> 00:43:49,920
Speaker 1: created a tech startup that's doing fine, you know, which

760
00:43:50,320 --> 00:43:53,520
Speaker 1: encapsulates a lot of the ideas that things that he believes.

761
00:43:53,920 --> 00:43:59,200
Speaker 1: And yeah, I mean like to encourage entrepreneurship and people

762
00:43:59,200 --> 00:44:03,200
Speaker 1: to like, you know, innovate, and that's cool. But it's

763
00:44:03,200 --> 00:44:07,600
Speaker 1: not like he's a wildly successful leader. He seems again

764
00:44:07,640 --> 00:44:14,399
Speaker 1: affable but maybe annoying in the workplace with his gong. Yeah,

765
00:44:14,520 --> 00:44:16,839
Speaker 1: I did not know that. I've seen I've seen him both.

766
00:44:16,920 --> 00:44:19,360
Speaker 1: He's better, okay, well more confident. I would love to

767
00:44:19,400 --> 00:44:25,439
Speaker 1: see that skate off between him. No, Sophie says, no, no, no, no,

768
00:44:25,480 --> 00:44:28,719
Speaker 1: never mind. I would not love to see that. I

769
00:44:28,960 --> 00:44:33,759
Speaker 1: love to see um. And I don't even know if

770
00:44:33,760 --> 00:44:39,040
Speaker 1: I think I would suggest him a cabinet position, you know, like, yeah,

771
00:44:39,080 --> 00:44:41,279
Speaker 1: you know, I I hope. I don't know if i'd

772
00:44:41,280 --> 00:44:44,160
Speaker 1: suggest a coubnet position either. I like his attitude towards

773
00:44:44,200 --> 00:44:48,120
Speaker 1: standardized tests. Yes, for Chary with that opinion talks to

774
00:44:48,400 --> 00:44:51,600
Speaker 1: a president at some point. But I don't think he

775
00:44:51,600 --> 00:44:53,879
Speaker 1: would be the most certainly not the most qualified person

776
00:44:53,920 --> 00:44:56,680
Speaker 1: in the country to be the Secretary of Education, although

777
00:44:56,719 --> 00:45:00,239
Speaker 1: apparently that doesn't really matter. I mean, yeah, comparably like

778
00:45:00,360 --> 00:45:04,200
Speaker 1: I think, I I mean, but if you decide that

779
00:45:04,239 --> 00:45:06,840
Speaker 1: we're going to like try to comprehensively reform our social

780
00:45:06,880 --> 00:45:08,920
Speaker 1: safety net, I can think the worst people to have

781
00:45:08,960 --> 00:45:10,800
Speaker 1: a seat at the table. He could be one person

782
00:45:10,800 --> 00:45:13,879
Speaker 1: who could. Yeah, you know, he's contribute, give him some credit. Yeah,

783
00:45:13,920 --> 00:45:17,239
Speaker 1: but no, I I think he's not someone who I

784
00:45:17,280 --> 00:45:21,760
Speaker 1: think is desperately deserves to be have a cabinet position.

785
00:45:22,080 --> 00:45:24,920
Speaker 1: That does not strike me as a thing. But maybe

786
00:45:25,000 --> 00:45:27,520
Speaker 1: he will run for other offices after this, so he

787
00:45:27,880 --> 00:45:32,439
Speaker 1: obviously will have gained a lot from mayor, shoot, from mayor,

788
00:45:32,440 --> 00:45:35,200
Speaker 1: maybe even governor. We don't care about governors like Funckt.

789
00:45:35,280 --> 00:45:39,759
Speaker 1: Why not give it a shot, Arnold Schwartzenegger go become

790
00:45:39,800 --> 00:45:43,279
Speaker 1: the governor of California. You can't do worse than Arnold did. Like, like,

791
00:45:43,600 --> 00:45:48,000
Speaker 1: it's totally reasonable thing to to go for it. And again,

792
00:45:48,040 --> 00:45:50,920
Speaker 1: I appreciate a lot a lot of these conversations are

793
00:45:50,920 --> 00:45:54,279
Speaker 1: being had. Um, he is not the worst offender of

794
00:45:54,280 --> 00:45:57,560
Speaker 1: contributing to the worst year ever is I guess may

795
00:45:57,760 --> 00:46:00,319
Speaker 1: take away. I don't even know that like I would.

796
00:46:00,360 --> 00:46:02,520
Speaker 1: I think some a lot of his fans have contributed

797
00:46:02,600 --> 00:46:04,960
Speaker 1: to that. I don't. I haven't seen him do anything

798
00:46:05,040 --> 00:46:07,480
Speaker 1: I think is wrong. He's a guy. I don't think

799
00:46:07,480 --> 00:46:09,360
Speaker 1: he's the best pick for president, with a couple of

800
00:46:09,360 --> 00:46:13,040
Speaker 1: good ideas and some bad ones saying what he believes

801
00:46:13,160 --> 00:46:17,080
Speaker 1: and that's fine. The only thing I'd say that he

802
00:46:17,120 --> 00:46:19,480
Speaker 1: did wrong was suggesting he sit down with Shane Gillis.

803
00:46:19,719 --> 00:46:22,440
Speaker 1: But yeah, that was a bad call. That was a

804
00:46:22,480 --> 00:46:24,400
Speaker 1: bad call. That was a bad call. But I understand

805
00:46:24,440 --> 00:46:25,880
Speaker 1: where it came from. Yeah, I mean, he's got a

806
00:46:25,880 --> 00:46:29,960
Speaker 1: lot of drive for for the unity. It's the it's

807
00:46:29,960 --> 00:46:33,600
Speaker 1: it's an offshoot of his not right, not left forward,

808
00:46:34,000 --> 00:46:35,600
Speaker 1: the whole thing. I'm just like, no, we all can

809
00:46:35,640 --> 00:46:39,960
Speaker 1: do it together. Um. And that's said Andrew Yang. If

810
00:46:40,000 --> 00:46:42,360
Speaker 1: you're listening and aren't turned off by this conversation and

811
00:46:42,360 --> 00:46:46,720
Speaker 1: would love to have a chat with you. And uh,

812
00:46:46,760 --> 00:46:49,719
Speaker 1: you know, you can even bring your gong. You can

813
00:46:49,840 --> 00:46:52,240
Speaker 1: you can bang a gong. Cody can make his horrible

814
00:46:52,320 --> 00:46:57,480
Speaker 1: time travel noises um, and together we can give Daniel

815
00:46:57,520 --> 00:47:00,600
Speaker 1: an aneurysm. Wouldn't that be an You can do it.

816
00:47:00,680 --> 00:47:03,480
Speaker 1: We can do it. We can do it. And you, guys,

817
00:47:03,520 --> 00:47:09,880
Speaker 1: but only with you, Mr Daniearism, Danielism, that's all good, Sophie.

818
00:47:09,920 --> 00:47:13,200
Speaker 1: Is he happy with that he's doing? I don't want

819
00:47:13,239 --> 00:47:19,680
Speaker 1: to talk. He's happy. He's Daniels the head banging and

820
00:47:20,080 --> 00:47:27,000
Speaker 1: joy and yeah, fist raised in celebration. Andrew Yang, he

821
00:47:27,120 --> 00:47:31,200
Speaker 1: exists and is running for president grabbed. You know what

822
00:47:31,239 --> 00:47:35,200
Speaker 1: I'll say about Andrew Yang, one last positive thing. I

823
00:47:35,280 --> 00:47:37,439
Speaker 1: didn't grab a baby by the dick, and he didn't

824
00:47:37,440 --> 00:47:42,000
Speaker 1: grab a woman by the pussy. Nope, as as far

825
00:47:42,040 --> 00:47:46,160
Speaker 1: as I know, has never grabbed anybody without consent, as

826
00:47:46,239 --> 00:47:50,400
Speaker 1: far as we know. And that's great. That's the low benchmark.

827
00:47:50,480 --> 00:47:54,600
Speaker 1: We now have, really slipping by that extremely low bar

828
00:47:55,000 --> 00:48:00,160
Speaker 1: and crawling under a chiant Andrew consensual grabbing Yang, that's there.

829
00:48:00,239 --> 00:48:04,839
Speaker 1: We gods, very catchy. Yeah, he's getting all sorts of

830
00:48:04,880 --> 00:48:09,600
Speaker 1: good stuff from us today. Alright, cool, you guys, Could

831
00:48:09,640 --> 00:48:13,360
Speaker 1: I just say that his families a really cute, is it? Yeah?

832
00:48:14,200 --> 00:48:18,640
Speaker 1: Precious though they are color cornated outfits and like unlike Beto,

833
00:48:18,719 --> 00:48:23,200
Speaker 1: I'm like, oh, you know, just like wonderful. I would

834
00:48:23,239 --> 00:48:25,280
Speaker 1: love to sit down and have dinner with him. Yeah,

835
00:48:25,560 --> 00:48:28,520
Speaker 1: he seems great. There's one other thing I wanted to

836
00:48:28,520 --> 00:48:32,520
Speaker 1: get to, which is my suspicion that or more of

837
00:48:32,520 --> 00:48:35,920
Speaker 1: why the Internet got behind him so far, is that

838
00:48:36,040 --> 00:48:40,120
Speaker 1: yang gang rhymes for sure. For sure. I think that's

839
00:48:40,200 --> 00:48:42,239
Speaker 1: a lot of it, Like it's a low bar to

840
00:48:42,239 --> 00:48:45,040
Speaker 1: get somebody to just do that retweet um, which is

841
00:48:45,080 --> 00:48:48,279
Speaker 1: a lot of the the activism you've seen, And I

842
00:48:48,320 --> 00:48:52,279
Speaker 1: think people just think it's funny. Um. Yeah, it's fairly,

843
00:48:52,360 --> 00:49:00,280
Speaker 1: it's yeah, it's way better than Bernie bro way better. Yeah. No,

844
00:49:00,280 --> 00:49:02,680
Speaker 1: nobody wants to identify as a Bernie Broke. People want

845
00:49:02,680 --> 00:49:04,719
Speaker 1: to be on the Trump train, which I don't understand,

846
00:49:04,719 --> 00:49:06,200
Speaker 1: and they also want to be on the Yang Gang

847
00:49:06,840 --> 00:49:10,640
Speaker 1: and we don't have h Bernie doesn't have. He never

848
00:49:10,680 --> 00:49:13,520
Speaker 1: came with a good good He's not a nickname guy

849
00:49:13,719 --> 00:49:16,040
Speaker 1: Bernie Sanders. He never came up with a good, pithy

850
00:49:16,160 --> 00:49:20,759
Speaker 1: nickname for his fans. Neither has Elizabeth Warren Sanders Fanders.

851
00:49:21,160 --> 00:49:26,239
Speaker 1: Oh Sanders fans is noted for this shop. Get on

852
00:49:26,280 --> 00:49:31,759
Speaker 1: the phone with Bernie. I would love to Warren's quorumzars, right,

853
00:49:32,160 --> 00:49:36,840
Speaker 1: they those those angry massogynist Liz lads and everybody's mentions

854
00:49:37,360 --> 00:49:44,800
Speaker 1: fucking Liz lets. Uh that does sound like an insulting lad.

855
00:49:45,600 --> 00:49:47,960
Speaker 1: We'll hear that by the end of the year. Um

856
00:49:48,840 --> 00:49:53,440
Speaker 1: quorum shouldn't be in a nickname. It was that that

857
00:49:54,160 --> 00:49:56,799
Speaker 1: I was hoping we would just gloss right over it.

858
00:49:56,880 --> 00:49:59,200
Speaker 1: But no, you got to bring it background warrens for

859
00:49:59,360 --> 00:50:08,000
Speaker 1: him more informed. It's not working. Biden Baby Biden, Sweet

860
00:50:08,000 --> 00:50:12,080
Speaker 1: little Babies. No, keep babies away from Joe Biden. Yeah,

861
00:50:12,120 --> 00:50:15,200
Speaker 1: that's a that's a good, solid, rememberable nickname. Keep babies

862
00:50:15,239 --> 00:50:20,200
Speaker 1: away from Joe Biden. I would I gotta say it

863
00:50:20,200 --> 00:50:21,640
Speaker 1: would be the end of the world, but I would

864
00:50:21,719 --> 00:50:24,680
Speaker 1: kind of love it if the hat based competition that

865
00:50:24,719 --> 00:50:29,120
Speaker 1: occurs in is make America great Again versus Keith Babies

866
00:50:29,160 --> 00:50:33,799
Speaker 1: away from Joe Biden Jr. Wait, I have one more thing,

867
00:50:34,760 --> 00:50:38,560
Speaker 1: one more thing that's going to make you take Young

868
00:50:38,640 --> 00:50:42,480
Speaker 1: down just a notch. His answer to Maga is math,

869
00:50:43,120 --> 00:50:49,279
Speaker 1: make America think hugging. Here's here's the thing. Is he

870
00:50:49,360 --> 00:50:51,680
Speaker 1: just using two letters way to second? Wait a second,

871
00:50:51,680 --> 00:50:54,719
Speaker 1: wait a second? Is he making an acronym? Were the

872
00:50:54,800 --> 00:50:57,680
Speaker 1: last two letters of the acronym are the first two

873
00:50:57,800 --> 00:51:03,800
Speaker 1: letters of the I believe that's true. You are clearly

874
00:51:03,840 --> 00:51:07,800
Speaker 1: a smart man. You know that's not how acronyms work, right,

875
00:51:08,640 --> 00:51:14,000
Speaker 1: That's that's just not how it works. Yeah, that's really

876
00:51:14,120 --> 00:51:17,080
Speaker 1: you just make All you gotta do is say, make

877
00:51:17,120 --> 00:51:21,759
Speaker 1: America think hard. Yeah, Like, that's an acronym. That's an acronym.

878
00:51:21,840 --> 00:51:26,160
Speaker 1: That's at least something right. It's not good, but it's better.

879
00:51:26,760 --> 00:51:29,399
Speaker 1: Sophie's really making us. Look at this photo of Andrew

880
00:51:29,480 --> 00:51:37,560
Speaker 1: Young just devouring a turkey leg, and that's all right,

881
00:51:37,680 --> 00:51:39,759
Speaker 1: turkeys are a vegetable. One second, I gotta come up

882
00:51:39,760 --> 00:51:44,520
Speaker 1: with a good acronym. Here, make America think for the

883
00:51:44,600 --> 00:51:53,759
Speaker 1: first time, finally, would Youth's here's the thing about this,

884
00:51:53,880 --> 00:51:56,359
Speaker 1: all right, And here's the thing about the worst year

885
00:51:56,400 --> 00:52:02,480
Speaker 1: ever that we're all going to experience. Don't nobody, nobody,

886
00:52:03,080 --> 00:52:06,760
Speaker 1: no matter who you are, if you're running for president.

887
00:52:07,600 --> 00:52:11,160
Speaker 1: Do not do an acronym that plays off of maga.

888
00:52:11,480 --> 00:52:14,560
Speaker 1: Just don't do it. Don't try to make America it

889
00:52:14,719 --> 00:52:18,160
Speaker 1: was already great, make America, think, make America good, good back.

890
00:52:18,239 --> 00:52:20,200
Speaker 1: You know, like, whatever it is, do not do it.

891
00:52:20,360 --> 00:52:22,840
Speaker 1: We don't like it, Nobody likes it. It doesn't work.

892
00:52:23,080 --> 00:52:27,759
Speaker 1: It's really cringe e. It makes you seem simple and ineffective,

893
00:52:27,880 --> 00:52:33,000
Speaker 1: and it's just basically basic basic. You're crazy, you're desperate.

894
00:52:33,320 --> 00:52:38,240
Speaker 1: No maga pons, no maga, no maga puns. Don't try

895
00:52:38,280 --> 00:52:41,440
Speaker 1: to do what Trump does, just without being a racist

896
00:52:41,440 --> 00:52:45,000
Speaker 1: piece of ship, Like, don't don't just be like, Okay, well,

897
00:52:45,040 --> 00:52:48,280
Speaker 1: they want somebody who's got a catchy acronym and hats

898
00:52:48,280 --> 00:52:50,200
Speaker 1: with slogans on him, and he yells at people and

899
00:52:50,200 --> 00:52:52,520
Speaker 1: he gives people nicknames. So what if I do that

900
00:52:52,560 --> 00:52:54,600
Speaker 1: but I don't hate Mexicans? Is that is that going

901
00:52:54,640 --> 00:52:58,440
Speaker 1: to get me be president? It's like no, no, no,

902
00:52:59,480 --> 00:53:04,839
Speaker 1: those aren't of things, especially the nickname thing. Please don't

903
00:53:04,840 --> 00:53:06,799
Speaker 1: do that. And I don't like do the bar back

904
00:53:06,840 --> 00:53:10,239
Speaker 1: and forth thing with him. Yeah, that's what I keep

905
00:53:10,280 --> 00:53:12,520
Speaker 1: seeing more and more and more of, like the candidates

906
00:53:12,600 --> 00:53:17,959
Speaker 1: like tweeting him and being like you're there's something people

907
00:53:18,000 --> 00:53:22,479
Speaker 1: see a spike in numbers went Trump bullies, and so

908
00:53:22,640 --> 00:53:25,640
Speaker 1: there is a thing where people start like, I'm going

909
00:53:25,680 --> 00:53:27,719
Speaker 1: to pick at him and then I'm going to get

910
00:53:27,719 --> 00:53:30,080
Speaker 1: those likes and I'm going to get him to give

911
00:53:30,120 --> 00:53:33,200
Speaker 1: me a nick kname. You stop engaging with that creep

912
00:53:33,920 --> 00:53:37,440
Speaker 1: in that especially Um. There are ways to engage with

913
00:53:37,520 --> 00:53:40,040
Speaker 1: him in ways, obviously because you're gonna have to because

914
00:53:40,080 --> 00:53:42,399
Speaker 1: you're gonna you're trying to be the president, so he's not.

915
00:53:42,840 --> 00:53:46,680
Speaker 1: But don't do it like that. Please. There's there's one

916
00:53:46,719 --> 00:53:50,520
Speaker 1: way I want people to engage with Trump on Twitter

917
00:53:50,600 --> 00:53:53,440
Speaker 1: if their presidential candidates, and I will give my vote

918
00:53:53,640 --> 00:53:57,200
Speaker 1: to whoever does this first, even if it's Joseph Robinette

919
00:53:57,200 --> 00:54:00,400
Speaker 1: Biden and that is slide into the press, it's d

920
00:54:00,560 --> 00:54:04,719
Speaker 1: ms and send him a picture your dick. Just just

921
00:54:04,840 --> 00:54:08,920
Speaker 1: send him your send the president your dick presidential candidates.

922
00:54:09,360 --> 00:54:14,120
Speaker 1: That is what Robert is sexist. What should listen Laurrant,

923
00:54:14,160 --> 00:54:18,239
Speaker 1: I'm just kidding, well, what should Elizabeth her husband's dick? Yeah, absolutely,

924
00:54:18,520 --> 00:54:22,400
Speaker 1: any dick. It doesn't have to be your dick, president's

925
00:54:22,440 --> 00:54:24,799
Speaker 1: d M. Send him a dick and I will vote

926
00:54:24,840 --> 00:54:27,360
Speaker 1: for you. Prove it by posting the exchange on Twitter,

927
00:54:27,560 --> 00:54:29,800
Speaker 1: and I'll vote for you. You You will have my vote,

928
00:54:30,080 --> 00:54:34,560
Speaker 1: Kamala Harris, you'll have my vote. Biden, You'll have my vote.

929
00:54:35,680 --> 00:54:41,400
Speaker 1: But still in he still do it? Yeah, send the president,

930
00:54:41,440 --> 00:54:48,960
Speaker 1: Dick picks all the heroes, Michael Michael, Michael Bennett. Yeah, Bennett,

931
00:54:49,000 --> 00:54:51,399
Speaker 1: get your dick in. There is he out? Here's here's

932
00:54:51,440 --> 00:54:54,680
Speaker 1: a picture of my my my penis, Mr President. It's

933
00:54:54,760 --> 00:54:59,399
Speaker 1: too bad he's probably out. I believe he's out. That's

934
00:55:00,560 --> 00:55:03,680
Speaker 1: what a wonderful sup question than I would be happy

935
00:55:03,719 --> 00:55:07,600
Speaker 1: to vote for him. If we've got to be more

936
00:55:07,719 --> 00:55:12,839
Speaker 1: unifying everybody. Here's my idea. So here's my duke. All right,

937
00:55:13,280 --> 00:55:16,040
Speaker 1: this has been real fun. You can check us out

938
00:55:16,080 --> 00:55:19,720
Speaker 1: online all the social media places at Worst Year pod,

939
00:55:19,960 --> 00:55:23,839
Speaker 1: that's the Instagram's, the Twitters, what have you. Eventually we'll

940
00:55:23,840 --> 00:55:27,920
Speaker 1: have a website Worst Year Ever dot com. I love websites.

941
00:55:28,360 --> 00:55:31,160
Speaker 1: And then we're online too. You can find us on twitters,

942
00:55:31,440 --> 00:55:33,560
Speaker 1: you know what. That's true with our names. I would

943
00:55:33,560 --> 00:55:36,960
Speaker 1: search our names and then uh Twitter, they'll probably be

944
00:55:37,000 --> 00:55:40,759
Speaker 1: linked to this tweet. So you'll find us easy. There's

945
00:55:40,760 --> 00:55:44,239
Speaker 1: no excuses. You'll find us easy, and you can keep

946
00:55:44,280 --> 00:55:47,880
Speaker 1: track of our campaign to sexually harass a sitting president,

947
00:55:48,680 --> 00:55:51,040
Speaker 1: which I think is really going to set us apart

948
00:55:51,200 --> 00:55:54,560
Speaker 1: from the other podcasts about the election. There aren't any

949
00:55:54,600 --> 00:55:56,959
Speaker 1: other podcasts. There are no other podcasts, and if there were,

950
00:55:57,000 --> 00:56:01,319
Speaker 1: they definitely wouldn't support just like grabbing them grabbing the

951
00:56:01,320 --> 00:56:10,359
Speaker 1: president tush hashtag grabbed the President's tush Honk Honko, Mr

952
00:56:10,400 --> 00:56:19,719
Speaker 1: President Honka Honk. Indeed, everything so dull, Everything so dull.

953
00:56:22,920 --> 00:56:28,440
Speaker 1: I tried. Daniel Lovely. Worst Year Ever is a production

954
00:56:28,480 --> 00:56:31,360
Speaker 1: of I Heart Radio. For more podcasts from my heart Radio,

955
00:56:31,440 --> 00:56:34,400
Speaker 1: visit the i heart Radio app, Apple Podcasts, or wherever

956
00:56:34,440 --> 00:56:35,800
Speaker 1: you listen to your favorite shows.