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

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Speaker 1: Welcome Everything. Hey guys, welcome back to first Year Ever.

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Speaker 1: Thank you for welcoming. Bro. I'm Katie and us back.

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Speaker 1: I'm Cody Johnston and I am Robert fucking Evans. I

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Speaker 1: have decided to curse very loudly at the start of

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Speaker 1: this episode with no real goal in mind, really no

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Speaker 1: goal in mine. You're an anarchist, none whatsoever. I mean,

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Speaker 1: we heard it, the goal achieved. I would say if

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Speaker 1: your goal is at least someone just want the world

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Speaker 1: to do the mild obscenity version of burn, which is

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Speaker 1: nothing at all. Uh, guys, what do we have to

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Speaker 1: about today of the greatest man who will save us all?

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Speaker 1: You know, one of the things that's cool about what's

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Speaker 1: happened this last week is that if you think about

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Speaker 1: all of this as a virus movie and pretend all

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Speaker 1: of the candidates who just dropped out actually died, then

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Speaker 1: this is kind of like the opening crawl of a

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Speaker 1: zombie movie. UM. I hadn't thought of that, but you

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Speaker 1: raise a good point. We're talking about bloom Bloomberg, Bloomberg,

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Speaker 1: boom Blurg. I had an interesting interaction right before we

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Speaker 1: started recording a Bloomberg Canvasser was texting with me and

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Speaker 1: responding to me as we went back and forth. They

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Speaker 1: did not because he's a hot Candida. They did not

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Speaker 1: feel like responding to my questions about stopping frisk, which

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Speaker 1: we will get to, um. But but he did respond

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Speaker 1: to my questions about how he felt about the massive

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Speaker 1: amounts of sexual harassment allegations, and he said it was

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Speaker 1: a joke. It was a joke, and he didn't assault anybody.

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Speaker 1: I didn't say assault anyway. Actually, I'm not sure if

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Speaker 1: it was. He. I'm just as fair fun thing about

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Speaker 1: the it's a joke thing. Bloomberg has said both it's

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Speaker 1: a joke and also I apologize for the things that

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Speaker 1: I've said. UM. So, I don't know interesting, um, but

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Speaker 1: that I'm not here to rehash that interaction to say

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Speaker 1: that the words that we prepared starting with we're here

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Speaker 1: to celebrate the life of Mike Bloomer, the legend, the man,

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Speaker 1: and I think we should before we get into this,

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Speaker 1: acknowledge the elephant in the room, which is that some

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Speaker 1: period of months ago before Michael Bloomberg was in the race,

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Speaker 1: and that long distant, buried Hyperborean age. We agreed to

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Speaker 1: run political ads on the show because we all of money.

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Speaker 1: Actually we hate it, but we need it for real

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Speaker 1: stupid food looks. Our network wants to make money. Our

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Speaker 1: show continues if it makes money, so let we like money.

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Speaker 1: For a very variety of reasons, we we opted to

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Speaker 1: take We're not gonna run Trump ads because that I

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Speaker 1: just I don't want to advertise for fascists. But I

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Speaker 1: assumed that at least we could know. None of the

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Speaker 1: Democratic candidates are people that I would describe as a fascist,

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Speaker 1: with the exception of Tolci Gabred, but she has no money. Um.

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Speaker 1: And then Mike Bloomberg entered the race, and the question

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Speaker 1: became muddled. Um, and we are getting his ass and

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Speaker 1: we are getting his ads. But that presents us with

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Speaker 1: a rare and beautiful opportunity, which is to do an

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Speaker 1: episode about what a piece of ship Mike Bloomberg was

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Speaker 1: sponsored officially by Mike Bloomberg for president, So this everything

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Speaker 1: in this episode is signed off on by the Mike

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Speaker 1: Bloomberg campaign. Yeah, it's very funny. Um. We on some

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Speaker 1: More News recently did an episode about Mike Bloomberg, and

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Speaker 1: the whole bit was that I was paid by Mike Bloomberg. Uh,

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Speaker 1: and I would list off all the terrible things he

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Speaker 1: said and done, but like with a positive spin because

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Speaker 1: it was paid for by Mike Bloomberg and he's really good.

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Speaker 1: Um and uh, it's like falls apart of the episode

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Speaker 1: goes on and I love that we get to do

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Speaker 1: it for real. Yeah. Yeah, it's so exciting. He's literally

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Speaker 1: literally paid by by Bloomberg. Well, I think we should

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Speaker 1: get into it because I know, Robert, you've got seven pages,

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Speaker 1: are so prepared, and then we have so you wanna

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Speaker 1: tell us a bit about his early life. I don't

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Speaker 1: apologize for anything, yes, except for not being here with

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Speaker 1: us right now. Wait, what's the what's the snood? What

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Speaker 1: Mike Bloomberg or we're Doomberg? Okay? Uh, Michael Bestberg, the Bloomberg,

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Speaker 1: bloom Best best best, Mike bloom Best. This is all.

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Speaker 1: I don't have one. There's there's a bit of Roomberg

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Speaker 1: for Bloomberg. Oh that's it, Cody got it. That's pretty good. Um, alright,

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Speaker 1: there's a bit of Roomberg for Bloomberg. Robert, can you

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Speaker 1: take us away, far far away, make I can fly

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Speaker 1: far far from here on a journey back to a

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Speaker 1: better time, a more peaceful time, a time of enlightenment

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Speaker 1: and wonder and joy. I'm talking, of course, about nineteen

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Speaker 1: forty two, a year in which nothing bad happened, nothing,

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Speaker 1: nothing at all baden. I was like, which, which which

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Speaker 1: decade you talking about? Okay, so we're gonna start this

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Speaker 1: story going back on to February fourteen, Valentine's Day, nineteen

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Speaker 1: forty two, and Cody, would you help me set the mood?

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Speaker 1: The time machine noise? I have to take my headphones off.

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Speaker 1: Oh yeah, stop, Yeah, that's a Mike Bloomberg time machine noise.

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Speaker 1: This is abusive. We're six minutes in and we haven't

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Speaker 1: done anything we prepared. I feel like the sound you're making, Cody,

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Speaker 1: is the sound Mike makes when he tweaks his own

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Speaker 1: nipples at night before bed, and I want to leave

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Speaker 1: everyone with that image before we get into that's a

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Speaker 1: medical issue though for him. Okay, let's not. He paid

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Speaker 1: for me to say that. Katie Boys, I'm having a

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Speaker 1: lot of doubts about whether or not I will continue

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Speaker 1: to work with men in the future. Okay, should I

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Speaker 1: redo this? Sounds Born February four, nineteen forty two, um.

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Speaker 1: He came into this world via the ministrations of the

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Speaker 1: good people at St. Elizabeth's Hospital in Brighton, Massachusetts, near Boston.

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Speaker 1: His father was William Bloomberg, the son of Russian immigrants

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Speaker 1: who got out of the country just in time to

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Speaker 1: avoid the whole fall the Czar mess, which was unbalanced,

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Speaker 1: probably a good idea. William taught Hebrew and Chelsea, Massachusetts.

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Speaker 1: Michael's mother, Charlotte, came from a family of Belarusian immigrants

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Speaker 1: who had settled in New Jersey. She grew up in

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Speaker 1: Hoboken and Jersey City, where her parents ran a successful

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Speaker 1: wholesale grocery business. She earned a business degree in nineteen

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Speaker 1: twenty nine from New York University's Night School, which was

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Speaker 1: obviously very rare for women in that day, and she

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Speaker 1: got a job immediately, which was also quite rare. She

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Speaker 1: worked as an assistant auditor for National Dairy, where she

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Speaker 1: was introduced to her boss by her boss to William Bloomberg.

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Speaker 1: The two headed off, got married and moved to Boston,

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Speaker 1: where Mike was born, as we stayed in nineteen forty two,

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Speaker 1: when Michael was to the family moved out to Brookline,

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Speaker 1: where they lived in a rented home until their landlords

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Speaker 1: sold the house by surprise and kicked them out. Um it.

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Speaker 1: Mike had been a few years older and remembered this.

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Speaker 1: Perhaps some of the yeah might have changed the whole

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Speaker 1: trajectory of his yeah should have been in nine, But

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Speaker 1: it didn't, and he hasn't. So and he hasn't, and

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Speaker 1: so his parents. Because it was the forties and you

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Speaker 1: could just decide to buy a home of your own,

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Speaker 1: his parents decided to buy a home of their own

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Speaker 1: instead of renting again. Uh. They picked the town of

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Speaker 1: Medford for their new house because it was close to

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Speaker 1: where both William and Charlotte worked. This was Moving to

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Speaker 1: Medford was not a simple process because the Bloombergs were

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Speaker 1: Jewish and Medford was still very heavily segregated. Several neighborhoods

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Speaker 1: in the town where places where Jews unofficially were not

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Speaker 1: allowed to live, and this was not uncommon in the

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Speaker 1: United States at this period. Um huge amounts of anti

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Speaker 1: Jewish Jewish racist racism. Um. One of Mike's childhood friends,

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Speaker 1: Thomas Buckley, later told The New York Times, my uncle

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Speaker 1: wouldn't dare sell to a Jew, and his uncle was

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Speaker 1: a realtor in the neighborhood the Bloombergs moved into h quote,

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Speaker 1: if he did, he would have been out of business.

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Speaker 1: He knew they were buying it, he just didn't say anything.

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Speaker 1: And the way that the Bloomberg family accomplished this is

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Speaker 1: that they had their lawyer and irishman purchased the proper

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Speaker 1: from the realtor and then he sold it directly to

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Speaker 1: the Bloomberg family, So they were able to get the

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Speaker 1: house through subterfuge, which yeah, um. So, while obviously racism

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Speaker 1: was a factor in you know, Mike Bloomberg's family's experience,

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Speaker 1: it wasn't something he himself seemed to experience much. Michael

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Speaker 1: and his peers who grew up with him in Medford

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Speaker 1: suggests that like they really didn't encounter much anti Semitic

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Speaker 1: biggot bigotry. And this is probably due to the fact

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Speaker 1: that by the time Mike was really making memories of

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Speaker 1: World War Two had really come to a close. Um

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Speaker 1: and there was still obviously as there is now as

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Speaker 1: we've all gotten very well informed of a lot of

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Speaker 1: anti Semitism in the United States. But in the wake

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Speaker 1: of all the concentration camps being revealed, and all of

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Speaker 1: that happening. Um, a lot of Americans who were anti

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Speaker 1: Semitic stopped being so loud about it. And it kind

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Speaker 1: of seems like Mike grew up in a time where

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Speaker 1: he really, while it was still there, he didn't see

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Speaker 1: much of it. The quiet part loud, Era was shifting

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Speaker 1: a bit to keep it, keep it, keep a little quiet. Yeah.

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Speaker 1: And what the quiet part stopped being loud because of

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Speaker 1: the six million or so people who died when the

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Speaker 1: quiet part was allowed to bed. Yeah yeah, yeah, yeah.

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Speaker 1: Maybe that says something about what we should do to

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Speaker 1: people who say the quiet part quiet. Um. So, Mike

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Speaker 1: was a unique lad from the start, a natural born

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Speaker 1: contrarian who preferred to play by his own rules. He

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Speaker 1: was a terrible athlete and a bad student, but he

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Speaker 1: excelled in the boy Scouts, where he was allowed to

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Speaker 1: go off and explore his own pace. He reached the

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Speaker 1: rank of Eagle Scout before he was technically eligible to

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Speaker 1: receive it. People who knew him then described a boy

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Speaker 1: who described a boy who was fed up with his

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Speaker 1: boring small town. From the very beginning. He wanted the world,

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Speaker 1: not a sleepy street in Massachusetts. Paul throw An author

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Speaker 1: who grew up in Bedford at the same time and

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Speaker 1: new Mike said this of their hometown, it was not

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Speaker 1: a bad place, but a place you want to leave,

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Speaker 1: to escape from. I thought it would be death to

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Speaker 1: day there, that I would just be swallowed up. It

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Speaker 1: was all right to grow up there, but to stay

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Speaker 1: there fatal, which I definitely agree with because I feel

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Speaker 1: kind of the same way about plain O, Texas. UM.

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Speaker 1: I feel like a lot of people probably have that

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Speaker 1: experience with their their their hometown. So that's Mike's uh

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Speaker 1: kind of. It's interesting. I make my living obviously telling

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Speaker 1: the stories of very famous, influential people, most of whom

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Speaker 1: are men, and bloomberg story follows a really familiar pattern

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Speaker 1: if you read articles about his life in The New

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Speaker 1: York Times or his unbelievably positive biography the many Lives

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Speaker 1: of Michael Bloomberg. Every what everyone emphasizes is that absolutely

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Speaker 1: everybody who knew this kid understood he was marked out

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Speaker 1: for greatness. UM. And obviously that is true in some cases,

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Speaker 1: Like I'm sure a lot of people listening this no

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Speaker 1: somebody who like from the beginning, we were like, oh,

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Speaker 1: this person is, like, you know, talented, and but my

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Speaker 1: friend's baby is constantly trying to play the guitar and

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Speaker 1: ban on the drums. He's gonna be a rob Yeah,

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Speaker 1: I get it. Yeah yeah. But at the same time,

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Speaker 1: whenever I see it written out, no, whenever I see

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Speaker 1: it written out like that, um, I just don't buy it.

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Speaker 1: In the case of this biography, maybe it's true. Um,

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Speaker 1: but they I will tell you that you can't read

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Speaker 1: about Mike Bloomberg's early life without a bunch of quotes

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Speaker 1: from people who knew him as a kid saying that

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Speaker 1: they were all sure he was going to be a

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Speaker 1: big deal, that he was a big deal. Yeah, that's

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Speaker 1: what you're saying. I'm not alleging that, because that actually

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Speaker 1: might be legally actionable. Um, but I am saying that

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Speaker 1: it is hard not to read those stories and suspect

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Speaker 1: something of that nature. Yea. Like As as as somebody

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Speaker 1: who officially has been paid by Bloomberg, I would say

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Speaker 1: that at a young age he was going places. I'm

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Speaker 1: sure that paid volunteer I talked to earlier would also

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Speaker 1: say that, don't anyway, go ahead, Robert, so uh yeah.

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Speaker 1: This segment from a New York Times article on Michael's

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Speaker 1: background is representative of the whole quote. He could do

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Speaker 1: everything from his point of view, you know. His mother

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Speaker 1: recalled smiling at the thought when she was ninety eight

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Speaker 1: years old, sharp of memory and gracious in manner, as

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Speaker 1: she sat in the living room of the modest New

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Speaker 1: England home where she and her husband had raised two children.

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Speaker 1: Charlotte Bloomberg evoked Mike's childhood is at once unremarkable and distinctive.

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Speaker 1: She described a rambunctious boy who trailed dirt into the

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Speaker 1: house despite her constant warnings, scared his sister with snakes,

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Speaker 1: and pressed friends with the ham radio set in his room,

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Speaker 1: and acted out at school, just a regular kid. If

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Speaker 1: there was one trait that stood out in Mike's childhood

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Speaker 1: for shadowing the Ajulty would become, it was his stubborn

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Speaker 1: insistence on taking charge anything that came along. He wanted

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Speaker 1: to do it. Miss Bloomberg said, he wanted to be

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Speaker 1: the boss of whatever we were working on. He wanted

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Speaker 1: to run everything. Sounds unbearable, sounds like, yeah, he really does.

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Speaker 1: Like that. That's the kid I don't want to sit

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Speaker 1: next to you at lunch. That's the kid you don't

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Speaker 1: want to be the president. One day. No, I want

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Speaker 1: to rule everybody. Now, it's a direct kid, you want

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Speaker 1: to be the president one day. I don't know, McCauley, Culkin,

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Speaker 1: I don't know. So in high school, Mike was not

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Speaker 1: a standout student either an academics or personality. He was

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Speaker 1: a C student for pretty much his whole academic career.

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Speaker 1: He was a member of the Debate club, but he

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Speaker 1: was the president of the Slide Rule Club, which might

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Speaker 1: be the only thing he ever winds up being president

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Speaker 1: of it. God god willing. So he's already had a

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Speaker 1: taste of that sweet, sweet presidential power. The Slide Rule Club.

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Speaker 1: The Slide Rule Club, Cody, I have questions that I

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Speaker 1: don't think you can answer, so I'm going to keep

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Speaker 1: him to myself. I mean, one thing we can assume

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Speaker 1: is that as president of the Slide Rule Club, he

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Speaker 1: was legally forbidden from getting laid. Sure, I mean, yeah,

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Speaker 1: it's in the by laws. So fans out there, m well,

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Speaker 1: we'll talk about that in a second, Katie. The Medford

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Speaker 1: High School yearbook had a section where they described each

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Speaker 1: kid's personality in a single word. Mike's was argumentative, which

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Speaker 1: he's carible at arguing on stages Now it's fascinating because

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Speaker 1: he has so many odious ideas and views, yet he's

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Speaker 1: also incapable of arguing for like, he's got both both

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Speaker 1: both are wrong. Yeah, it's like if someone filled Bin

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Speaker 1: Shapiro's mouth with toffee. Yeah, I just can't do it,

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Speaker 1: can't get it out. Actually, so now, Mike did not

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Speaker 1: have a particularly exciting love life in high school. See

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Speaker 1: the Slide Rule Club. One of his female class I'm sorry,

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Speaker 1: I normally don't. I was a big nerd. I played,

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Speaker 1: I had always, but like the Slide Rule Club President president,

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Speaker 1: that's high up in the Slide Rule Club. Um, I'm sy.

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Speaker 1: I I feel like I like, I'm like slowly morphing

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Speaker 1: into that guy from Revenge of the Nerds screams nerds

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Speaker 1: and rips his shirt off. Yeah now uh yeah ox

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Speaker 1: ox I think that that sounds right? Yeah, bone man. So.

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Speaker 1: One of Mike's female classmates later admitted to his biographer

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Speaker 1: that every girl in school considered him the biggest nerd.

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Speaker 1: She remembered that one girl, I mean a lot of

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Speaker 1: our listeners and ourselves, maybe we're the biggest nerds. So

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Speaker 1: wrong with it? Yeah again, I never didn't have a

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Speaker 1: d and d book with me. But also I look

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Speaker 1: at it and I believe it. Okay, I fully believe it. Yeah. Now,

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Speaker 1: she remembered that one girl kept getting asked out on

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Speaker 1: dates by Mike, and this girl first told him that

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Speaker 1: she couldn't go because your grandfather had died, And when

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Speaker 1: he asked again, she told him that he couldn't go

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Speaker 1: because her other grandfather had died. And after you're hearing this,

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Speaker 1: Mike just asked her, how many grandparents do you have left?

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Speaker 1: That cute sad? It's cute sad. Hey, we all we

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Speaker 1: all have that experience asking out someone who's like not

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Speaker 1: feeling it and like it sucks. It sucks no matter what.

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Speaker 1: It's never fun. But you got to get the hint.

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Speaker 1: At some point you just walk away a shame. You

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Speaker 1: don't have to. You could just run for president and

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Speaker 1: then they'll all have to say yes. To make a

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Speaker 1: long boring story short, Michael went to Johns Hopkins University

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Speaker 1: and got a degree in electrical engineering. Then he went

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Speaker 1: to Harvard and got an MBA. He was able to

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Speaker 1: avoid getting drafted to fight in Vietnam thanks to his

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Speaker 1: flat feet. He received a one y in medical deferment

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Speaker 1: in nineteen sixty six, the exact same sort of deferment

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Speaker 1: that President Donald Trump received the nineteen sixty eight for

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Speaker 1: his bone spurs. Yeah, that's where the similarities, right, the

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Speaker 1: only one? Yep? Good, all right, all right. President John F.

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Speaker 1: Kennedy was assassinated by Bernard Montgomery, Sanjors Sanders, and Mike's

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Speaker 1: senior year. This was devastating to most of his peers

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Speaker 1: and most people in America. Many of them took to

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Speaker 1: the streets, but Mike saw Kennedy's murder as a blip

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Speaker 1: in the real history of his time. Mike's own words,

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Speaker 1: a blip in the real history of his time? Is

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Speaker 1: that quote the assassinated? Yeah, that's Mike Bloomberg. JFK's assassination

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Speaker 1: was a blip. What does it even mean? Yeah, it's

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Speaker 1: like the defining moment of a generation. I mean, yeah,

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Speaker 1: you couldn't be more wrong, Like, you know, wh where

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Speaker 1: you were sitting when you found out? I don't know,

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Speaker 1: he's like nb D, guys, let's move on, feel like

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Speaker 1: I feel like nine eleven was kind of a blip

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Speaker 1: compared to the real defining moment of our generation, which

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Speaker 1: was the release of the Tim Allen movie Big Trouble. Yeah, yeah,

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Speaker 1: Mike added, quote it was like the death of Princess Diana,

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Speaker 1: and that everybody thought the world had changed, and the

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Speaker 1: papers were full of it. But a week later people

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Speaker 1: go back to their own work, there were their own lives,

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Speaker 1: and there was nothing changed. No matter what anybody says.

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Speaker 1: Really insist that that's the kind of big picture thinking

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Speaker 1: we need in the office. Yeah. I love that. He

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Speaker 1: added that at the end, like, no matter what anybody says,

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Speaker 1: because he knows he's wrong. So you have to slip

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Speaker 1: because literally everyone is going to disagree with me on this.

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Speaker 1: But yeah, we interviewed about this thirty years later. Mike's

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Speaker 1: primary regret about the assassination assassination of John Fitzgerald Kennedy

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Speaker 1: is that it led to the cancelation of a fraternity

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Speaker 1: dance party that he'd helped the plan. He expressed frustration

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Speaker 1: about this in an interview three decades after the fact.

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Speaker 1: They didn't get their deposit back. Okay, Jesus Christ, So

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Speaker 1: a guy who like holds really unimportant crudges is what

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Speaker 1: you're suggesting, really unimportant grudges against the murdered president. Okay,

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Speaker 1: Now that is where the similarity. That's where it ends.

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Speaker 1: That's the end of it, all right. I mean, I

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Speaker 1: gotta say this does make his anger at Bernard Sanders

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Speaker 1: make a little bit more sense, because Bernie Sanders is

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Speaker 1: why he didn't get to hold that party exactly. Yeah.

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Speaker 1: After college, Mike got himself a job at Salomon Brothers,

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Speaker 1: an investment banking firm in New York City. His job

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Speaker 1: starting out was to count and organize millions of stocks

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Speaker 1: and bonds, a task he did well enough that it

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Speaker 1: set him on the path to an early rise. He

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Speaker 1: became a partner at the age of thirty nine. Yeah.

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Speaker 1: Uh in nineteen that same year of something went wrong

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Speaker 1: inside the company. I think they were bought by Somebody's

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Speaker 1: kind of unclear exactly why. Um, but he was given

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Speaker 1: the job of running the firm's information technology division. And

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Speaker 1: he usually says that it was almost as a punishment.

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Speaker 1: So it seems like he kind of got shafted. Maybe

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Speaker 1: it's just that he was like the new partner, but

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Speaker 1: he got stuck with this was seen as kind of

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Speaker 1: a crap job. Um and Uh, computers kind of played

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Speaker 1: a minor role in trading at that point. The money

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Speaker 1: wasn't really in it. It was you know that that

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Speaker 1: that wasn't just how trading was done. Um. But Mike

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Speaker 1: got into computer trading very early, and his work with

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Speaker 1: computers gave him an idea, probably the only truly great

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Speaker 1: idea he's had in his entire life, the Bloomberg terminal.

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Speaker 1: Have you guys ever heard of the Bloomberg terminal. It's

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Speaker 1: the whole reason he's a billionaire. This is the thing

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Speaker 1: that made him rich. Um. And his idea was basically

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Speaker 1: to build a comprehensive computer system for stock trading and analysis,

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Speaker 1: sort of like a giant early smartphone, focused entirely on

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Speaker 1: helping traders do their job better. It was an ambitious idea,

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Speaker 1: and Mike had it before anyone else, or at least

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Speaker 1: anyone else with the funds to make it a reality. See,

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Speaker 1: Mike got really, really lucky and was fired at this

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Speaker 1: point and given a ten million dollars severance package. So

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Speaker 1: he had, Yeah, he had all his company got bought

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Speaker 1: and he got like fired in a bunch of money,

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Speaker 1: and he had enough money to to pay to make

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Speaker 1: this terminal idea of as a reality. And it's one

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Speaker 1: of those things, looking back, knowing what we know about technology,

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Speaker 1: everyone can see. Oh yeah, at some point stock trading

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Speaker 1: was going to get computerized, a product like the Bloomberg

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Speaker 1: terminal was going to get made. But he was the

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Speaker 1: first person to have the idea and he put his

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Speaker 1: money on the line and made it happen. That's interesting.

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Speaker 1: It's like the like whenever people talk about like the

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Speaker 1: brilliant Jeff Bezos, like in all of his deserving money

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Speaker 1: and stuff, where it's like, well, he had the idea

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Speaker 1: of a bookstore, but online. I do bet that that

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Speaker 1: building this computer system was excessively difficult because but I'm

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Speaker 1: not defending Bloomberg Facebook, like, okay, you had like a

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Speaker 1: phone book online basically, I mean what I what I

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Speaker 1: will say is that everyone who uses it up to

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Speaker 1: this day, they were like a bunch of reports kind

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Speaker 1: of like in the early aughts that like, oh, this

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Speaker 1: new app or this new thing is going to like

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Speaker 1: lead to the death of a Bloomberg terminal because everything

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Speaker 1: is computerized now and they're not going to need it.

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Speaker 1: It's still like the industry standard and incredibly common, and

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Speaker 1: pretty much everyone agrees it's a great product. So like,

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Speaker 1: I don't know stock trading and I hate it and

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Speaker 1: think it should be illegal, but it seems like it's

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Speaker 1: a great product for doing this thing that I hate

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Speaker 1: and think should be illegal. Speaking of products, we have

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Speaker 1: to take a really quick break. There is a quick one,

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Speaker 1: a really quick break for these ads by our good

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Speaker 1: friend Mike Bloomberg. Together everything. Wow, those were great, as

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Speaker 1: you know. What I liked most is I liked most

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Speaker 1: the fact that Mike Bloomberg promised that as president, no

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Speaker 1: girl would able to be able to say no when

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Speaker 1: he asked them out to the school dance. But that's

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Speaker 1: a really important platform. I like having the choice taken

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Speaker 1: away from me. You know, choices are hard. Exactly the

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Speaker 1: three is this three strike plan where like, okay, one

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Speaker 1: grandparent excuse, okay, to grandparent excuses, okay. The third one

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Speaker 1: you gotta say yes. That's how strikes. You gotta say

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Speaker 1: yes to Mike. I you know, and going into this election,

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Speaker 1: big thing was wanting my friends with diabetes not to

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Speaker 1: die from insulin shock. But now I'm on team let

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Speaker 1: make girls not say no to Michael Bloomberg three times. Yeah, yeah, yeah, yeah,

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Speaker 1: we're all agreed. Winning platform. So um, when Mike gets

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Speaker 1: forced out of his company given ten million dollars, he

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Speaker 1: puts it into starting a company called Innovative Market Solutions. Uh,

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Speaker 1: he has, he and you know the people he hires

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Speaker 1: build the Bloomberg terminal um and it's a huge success.

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Speaker 1: The Bloomberg's, as they came to be known on Wall Street,

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Speaker 1: were soon the hottest property in the industry. But the

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Speaker 1: midnineteen eighties, every self respecting trader wanted one. They were

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Speaker 1: incredibly expensive, tens of thousands of dollars a year, but

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Speaker 1: if you didn't have one, it meant your company really

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Speaker 1: didn't value you as a trader. And that's still kind

426
00:24:45,000 --> 00:24:48,760
Speaker 1: of the way things are. Um. Soon Bloomberg's was selling

427
00:24:48,760 --> 00:24:51,719
Speaker 1: like hotcakes, and Michael was a billionaire and the richest

428
00:24:51,760 --> 00:24:54,640
Speaker 1: man in New York City. He took his newfound fame

429
00:24:54,680 --> 00:24:57,320
Speaker 1: and used it to launch Bloomberg News and Bloomberg TV,

430
00:24:57,520 --> 00:24:59,480
Speaker 1: both of which were aimed at other rich people who

431
00:24:59,480 --> 00:25:01,919
Speaker 1: invest in the stock market rather than the actual workers

432
00:25:01,920 --> 00:25:04,320
Speaker 1: who create the value stock market people buy in trade.

433
00:25:04,880 --> 00:25:07,000
Speaker 1: I'm not a big fan of the stock market. Doesn't

434
00:25:07,000 --> 00:25:10,399
Speaker 1: sound like it. It doesn't sound too I know. I know,

435
00:25:10,520 --> 00:25:13,520
Speaker 1: if only I had invested, I would be making all

436
00:25:13,520 --> 00:25:16,919
Speaker 1: this sweet coronavirus money. Outside of work. Michael got up

437
00:25:16,920 --> 00:25:19,160
Speaker 1: to the standard rich guy hobbies. He got his pilot's

438
00:25:19,240 --> 00:25:21,840
Speaker 1: license and became a competent pilot with both the helicopter

439
00:25:21,880 --> 00:25:24,560
Speaker 1: and a jet plane. He regularly flies himself around to

440
00:25:24,560 --> 00:25:26,680
Speaker 1: this day. And I'm sure he's excited to be president

441
00:25:26,720 --> 00:25:29,040
Speaker 1: and get press shots, press shots of himself on the

442
00:25:29,040 --> 00:25:31,359
Speaker 1: pilot seat of Air Force one. That's a kind of

443
00:25:31,400 --> 00:25:34,240
Speaker 1: happen if he gets he's already planning it. He's already

444
00:25:34,280 --> 00:25:37,760
Speaker 1: planning it. Look at me, I'm flying. And he's probably

445
00:25:37,760 --> 00:25:39,879
Speaker 1: going to film like a YouTube video of himself flying

446
00:25:39,920 --> 00:25:42,359
Speaker 1: his campaign jet around and talking about how like Donald

447
00:25:42,359 --> 00:25:45,000
Speaker 1: Trump can't even flies on something like that, and it's

448
00:25:45,800 --> 00:25:53,080
Speaker 1: it's going to happen about the drops outside of flying, though,

449
00:25:53,119 --> 00:25:55,359
Speaker 1: Michael also got up to what is probably the most

450
00:25:55,359 --> 00:26:05,520
Speaker 1: traditional billionaire hobby of all, divorcing his first wife treasured

451
00:26:05,600 --> 00:26:10,960
Speaker 1: past the many lives of Michael Bloomberg. His biography says

452
00:26:11,000 --> 00:26:14,800
Speaker 1: this quote. His wife Susan, who left after she grew

453
00:26:14,800 --> 00:26:17,880
Speaker 1: tired of his high energy and increasingly public lifestyle, would

454
00:26:17,920 --> 00:26:22,600
Speaker 1: remain friendly and even work in his campaigns. Sure, that's

455
00:26:22,600 --> 00:26:25,399
Speaker 1: the end of the story. That's the end. They did it.

456
00:26:26,680 --> 00:26:30,080
Speaker 1: Now this biography is authored by New York Times reporter

457
00:26:30,119 --> 00:26:33,840
Speaker 1: Eleanor Randolph. And she's absolutely a real journalist, or at

458
00:26:33,920 --> 00:26:37,360
Speaker 1: least was. And this is supposed to be an independent biography,

459
00:26:37,520 --> 00:26:40,639
Speaker 1: not commissioned by Michael Bloomberg or written under his orders.

460
00:26:41,040 --> 00:26:43,920
Speaker 1: It was published in September of two thou nineteen, and

461
00:26:44,119 --> 00:26:46,880
Speaker 1: I don't believe for one second that there was There's

462
00:26:46,960 --> 00:26:54,720
Speaker 1: nothing something changed hands here. It's the most disgustingly positive

463
00:26:54,760 --> 00:26:57,560
Speaker 1: biography I think I've ever read in my entire life.

464
00:26:58,119 --> 00:27:00,879
Speaker 1: For example, when writing this, Leanor I think had a

465
00:27:00,960 --> 00:27:03,639
Speaker 1: very clear idea of what people would attack Mike for

466
00:27:03,800 --> 00:27:06,480
Speaker 1: when he ran for president. So, for example, the book

467
00:27:06,520 --> 00:27:09,639
Speaker 1: makes it. Yeah, yeah, there was an outline sent along.

468
00:27:10,200 --> 00:27:12,400
Speaker 1: The book makes a huge point of talking about how

469
00:27:12,400 --> 00:27:15,240
Speaker 1: many women Michael has hired for important positions, and how

470
00:27:15,280 --> 00:27:21,680
Speaker 1: strong willed and powerful his daughters are best friend because

471
00:27:21,680 --> 00:27:26,040
Speaker 1: they're all the same people. Here's a random paragraph from

472
00:27:26,040 --> 00:27:29,399
Speaker 1: this totally independent biography that absolutely was not written as

473
00:27:29,400 --> 00:27:32,840
Speaker 1: a blatant, shameless advertisement for Mike Bloomberg's presidential campaign. Are

474
00:27:32,880 --> 00:27:35,240
Speaker 1: you guys ready for this random paragraph picked at random?

475
00:27:35,280 --> 00:27:38,160
Speaker 1: I can't for the independent book. You had not planned

476
00:27:38,240 --> 00:27:40,920
Speaker 1: that you just you flipped to a page. With help

477
00:27:40,960 --> 00:27:43,679
Speaker 1: from friends, Bloomberg managed to hide any hurt about his

478
00:27:43,720 --> 00:27:45,919
Speaker 1: failed marriage, and soon he could be seen with some

479
00:27:46,000 --> 00:27:49,359
Speaker 1: of New York society's most glamorous women. He mostly liked

480
00:27:49,359 --> 00:27:52,280
Speaker 1: women his age, a bit unusual for the Wall Street crowd,

481
00:27:52,520 --> 00:27:54,919
Speaker 1: but that could still include Broadway or movie stars like

482
00:27:54,960 --> 00:27:58,359
Speaker 1: Annaree King or Marissa Berenson. He escorted friends like Barbara

483
00:27:58,359 --> 00:28:00,239
Speaker 1: Walters and a net dealer rented to this at these

484
00:28:00,280 --> 00:28:04,040
Speaker 1: most luxurious galas. He told The London Guardian in nine six,

485
00:28:04,359 --> 00:28:07,000
Speaker 1: I am a single, straight billionaire in Manhattan. What do

486
00:28:07,040 --> 00:28:13,600
Speaker 1: you think? It's like a wet dream. It kept going.

487
00:28:13,800 --> 00:28:17,080
Speaker 1: She's really she had to use the wet dream quote,

488
00:28:17,440 --> 00:28:20,080
Speaker 1: I think, um because it was like it was gonna

489
00:28:20,119 --> 00:28:22,920
Speaker 1: come up. Yeah, you gotta you gotta use a lot

490
00:28:22,920 --> 00:28:27,359
Speaker 1: of pipe to try to negate it. Yeah, yeah, great.

491
00:28:28,160 --> 00:28:31,119
Speaker 1: Totally a journalist and not a paid ghostwriter. Eleanor Randolph,

492
00:28:31,160 --> 00:28:33,440
Speaker 1: who absolutely is not a tired reporter cashing and on

493
00:28:33,480 --> 00:28:35,600
Speaker 1: the credibility of The New York Times. Make sure to

494
00:28:35,720 --> 00:28:37,560
Speaker 1: note that by the time Mike ran from Mayor of

495
00:28:37,600 --> 00:28:40,200
Speaker 1: New York City, the Post had labored labeled him as

496
00:28:40,280 --> 00:28:44,120
Speaker 1: the anti bimbo billionaire because he dated women who were

497
00:28:44,160 --> 00:28:48,440
Speaker 1: relatively close to his age rather than children, which hell, yeah,

498
00:28:48,600 --> 00:28:52,320
Speaker 1: that sounds like a man who respects women. I'm anti bimbo.

499
00:28:52,480 --> 00:28:57,320
Speaker 1: I love women, I respect them. I hate bimbos. Unbelievable,

500
00:29:00,280 --> 00:29:04,760
Speaker 1: so good. And I said that he was famous according

501
00:29:04,800 --> 00:29:07,280
Speaker 1: to his biographer, who he didn't pay for dating women

502
00:29:07,280 --> 00:29:08,920
Speaker 1: who were close to his own age and not children.

503
00:29:09,200 --> 00:29:11,680
Speaker 1: And we could say more about Mike's relationship with Jeffrey

504
00:29:11,680 --> 00:29:14,160
Speaker 1: Epstein here, but that would be mean. And it's not

505
00:29:14,240 --> 00:29:16,400
Speaker 1: a journalist job to be mean or talk about how

506
00:29:16,400 --> 00:29:18,920
Speaker 1: many different phone numbers you appear under in a famous

507
00:29:18,960 --> 00:29:22,320
Speaker 1: Pedophiles Fun notebook. And I feel like we've just mentioning

508
00:29:22,360 --> 00:29:25,120
Speaker 1: it once is all we need to do. Got a

509
00:29:25,560 --> 00:29:30,120
Speaker 1: few number times, I think, Yeah, multiple phone numbers half

510
00:29:30,160 --> 00:29:33,520
Speaker 1: a page. Really wanted to stay in touch with him.

511
00:29:33,920 --> 00:29:37,560
Speaker 1: Of the people in that book, uh Trumpscott like almost

512
00:29:37,600 --> 00:29:39,800
Speaker 1: a full page, I believe. And Mike's got like homes

513
00:29:40,040 --> 00:29:44,400
Speaker 1: like comparable. But he's anti bimbo, and that's what's important

514
00:29:44,440 --> 00:29:47,080
Speaker 1: for you all to remember. In this podcast paid for

515
00:29:47,240 --> 00:29:53,200
Speaker 1: by Michael Bloomberg, so Eleanor Randolph quotes her subject as

516
00:29:53,240 --> 00:29:56,120
Speaker 1: saying this, I find women my age more interesting. I

517
00:29:56,160 --> 00:29:58,000
Speaker 1: guess maybe it's just that I have less in common

518
00:29:58,040 --> 00:30:00,560
Speaker 1: with younger women. It's also safer, so how or another,

519
00:30:00,680 --> 00:30:02,840
Speaker 1: the wives of your friends find it much more reassuring.

520
00:30:03,320 --> 00:30:07,440
Speaker 1: So that's nice. You guys trusted Mike cat I've always

521
00:30:07,440 --> 00:30:11,000
Speaker 1: trusted mine. In the late do you like Mike? We

522
00:30:11,080 --> 00:30:14,520
Speaker 1: all like Mike. In the late nineteen nineties, Michael expressed

523
00:30:14,560 --> 00:30:16,760
Speaker 1: no interest in marrying again. He spent most of his

524
00:30:16,800 --> 00:30:19,680
Speaker 1: mayoral years with Diana Taylor, a financial executive who was

525
00:30:19,720 --> 00:30:23,000
Speaker 1: described by Totally a Real reporter Eleanor Randolph as straight

526
00:30:23,000 --> 00:30:26,240
Speaker 1: out of Anna Wintour's wardrobe room. At Vogue. It notes

527
00:30:26,320 --> 00:30:28,880
Speaker 1: that Taylor was basically the woman Michael trotted out when

528
00:30:28,880 --> 00:30:30,640
Speaker 1: he needed to be seen with a woman since he

529
00:30:30,680 --> 00:30:34,120
Speaker 1: was unmarried. Eleanor does state that he quote seemed to

530
00:30:34,120 --> 00:30:36,840
Speaker 1: treat her like a politically appropriate appendage, and one of

531
00:30:36,840 --> 00:30:41,479
Speaker 1: the few vaguely critical lines of the book, So that happened.

532
00:30:41,480 --> 00:30:43,040
Speaker 1: I guess, I guess you know that's fine. She's like

533
00:30:43,040 --> 00:30:45,160
Speaker 1: a mature adult woman. If you make the decision that

534
00:30:45,200 --> 00:30:47,240
Speaker 1: it's good for your career to be the hanging out

535
00:30:47,280 --> 00:30:49,320
Speaker 1: with the mayor. Like that's a fine thing, not like

536
00:30:49,360 --> 00:30:54,520
Speaker 1: being in Jeffrey Epskin's Black Book like that. No, I

537
00:30:54,600 --> 00:30:56,840
Speaker 1: really though, I can't over emphasize what a piece of

538
00:30:56,840 --> 00:31:00,840
Speaker 1: self aggrandizing shit the Mike Bloomberg biography is. At one point,

539
00:31:00,840 --> 00:31:03,360
Speaker 1: it notes that some people thought Mike Mike might be

540
00:31:03,440 --> 00:31:06,800
Speaker 1: gay because quote, even when he was nominally a Republican,

541
00:31:07,000 --> 00:31:10,920
Speaker 1: he supported gay marriage and civil rights. And then Eleanor

542
00:31:11,040 --> 00:31:16,040
Speaker 1: Randolph somehow swallowed herself hatred long enough to write this paragraph.

543
00:31:16,160 --> 00:31:18,920
Speaker 1: But simply watching him work a crowd might have helped

544
00:31:18,440 --> 00:31:22,000
Speaker 1: dispel such notions that he might have been gay. Once

545
00:31:22,040 --> 00:31:24,600
Speaker 1: accepting an awarded a gala for the Citizens Union public

546
00:31:24,600 --> 00:31:27,360
Speaker 1: interest group in two thirteen, Mike Bloomberg spotted a tall

547
00:31:27,360 --> 00:31:29,560
Speaker 1: blonde woman in a small huddle of people. The mayor

548
00:31:29,600 --> 00:31:32,080
Speaker 1: maneuvered himself so that as he passed by the makeshift

549
00:31:32,080 --> 00:31:33,960
Speaker 1: receiving line, he could give her a hug a kiss

550
00:31:34,000 --> 00:31:35,920
Speaker 1: on each cheek. Then he moved a little to shake

551
00:31:35,920 --> 00:31:38,040
Speaker 1: hands with a few admirers. Then he came back to

552
00:31:38,160 --> 00:31:41,440
Speaker 1: the blonde another hug, two more kisses. He even seemed

553
00:31:41,480 --> 00:31:43,920
Speaker 1: to be angling for a third round when the blonde

554
00:31:44,280 --> 00:31:52,000
Speaker 1: suddenly moved on out of reach. I mean, okay, pointing

555
00:31:52,040 --> 00:31:54,840
Speaker 1: to his womanizing as proof of him not being gay

556
00:31:54,880 --> 00:31:58,440
Speaker 1: doesn't really track for me, because that's also what people

557
00:31:58,480 --> 00:32:01,040
Speaker 1: do when they're trying really hard to not seem gay.

558
00:32:01,080 --> 00:32:04,040
Speaker 1: But I don't know. I'm not saying Michael Bloomberg's gay. Also,

559
00:32:04,120 --> 00:32:06,000
Speaker 1: who cares if he is? Yeah? I don't care if

560
00:32:06,040 --> 00:32:08,080
Speaker 1: he is. I I think it's it's more kind of

561
00:32:08,280 --> 00:32:12,840
Speaker 1: just gross to me. The way that's like spun as like,

562
00:32:13,120 --> 00:32:19,480
Speaker 1: what's that paragraph? A terrible piece of writing. It's a terrograph. Yeah.

563
00:32:19,720 --> 00:32:22,120
Speaker 1: It starts with like some people said he might have

564
00:32:22,160 --> 00:32:24,560
Speaker 1: been gay because he was nicer to gay people than

565
00:32:24,600 --> 00:32:28,000
Speaker 1: most Republicans, and then dispels that by spinning a story

566
00:32:28,040 --> 00:32:31,320
Speaker 1: of him clearly like not harassing might be a little strong,

567
00:32:31,360 --> 00:32:34,320
Speaker 1: but making a woman uncomfortable as like a positive stable

568
00:32:34,400 --> 00:32:39,040
Speaker 1: time back. Man, do you think that putting a woman

569
00:32:39,080 --> 00:32:42,320
Speaker 1: in an uncomfortable situation? Um? Do you think that the blonde? Uh?

570
00:32:42,560 --> 00:32:48,200
Speaker 1: Those first two instances said that her grandfather just died. Yeah,

571
00:32:48,240 --> 00:32:50,240
Speaker 1: I think the second time she's like, it is it's

572
00:32:50,280 --> 00:32:54,160
Speaker 1: another two, right, it's another since it's Mike, like fifty

573
00:32:54,240 --> 00:32:58,080
Speaker 1: years apart, getting is the same thing. It's amazing thing.

574
00:32:58,120 --> 00:33:01,320
Speaker 1: Never change. I a little bad that I'm like being

575
00:33:01,360 --> 00:33:04,240
Speaker 1: so critical about eleanor Randolph just because like I don't

576
00:33:04,240 --> 00:33:06,880
Speaker 1: want to just be like yelling at a lady journalist

577
00:33:07,000 --> 00:33:09,320
Speaker 1: in this Mike Bloomberg episode. But it's like, really, just

578
00:33:09,400 --> 00:33:14,000
Speaker 1: reading the book is really frustrating, Like the it's not

579
00:33:14,720 --> 00:33:16,600
Speaker 1: she's a journalist, she really is. She has a real

580
00:33:16,640 --> 00:33:18,600
Speaker 1: background as a journalist. I don't know how you write

581
00:33:18,600 --> 00:33:22,440
Speaker 1: this book. Um, I mean there's also Bloomberg campaign has

582
00:33:22,480 --> 00:33:24,320
Speaker 1: brought a lot of people out of the woodwork and

583
00:33:24,400 --> 00:33:29,320
Speaker 1: being like, oh, okay, you're a fraud. You know, sad

584
00:33:29,440 --> 00:33:32,280
Speaker 1: is like or maybe like she worked along hard career

585
00:33:32,280 --> 00:33:34,080
Speaker 1: as a journalist and now she needs enough money to

586
00:33:34,120 --> 00:33:36,960
Speaker 1: pay for medical care. Uh maybe maybe, And it's a

587
00:33:37,000 --> 00:33:39,560
Speaker 1: tough industry. I don't know. I can think of a

588
00:33:39,680 --> 00:33:44,280
Speaker 1: vote she could do. There's no way to vote for

589
00:33:44,360 --> 00:33:47,360
Speaker 1: health care now. This shameful, shameful book goes on to

590
00:33:47,440 --> 00:33:50,200
Speaker 1: note that, like many men of his generation, Bloomberg was

591
00:33:50,360 --> 00:33:54,080
Speaker 1: bewildered by the this is the Book's words so called

592
00:33:54,200 --> 00:33:56,920
Speaker 1: Me Too movement, the army of women who complained about

593
00:33:56,960 --> 00:34:05,760
Speaker 1: mistreatment and abuse in the earlier times. In the earlier times,

594
00:34:06,040 --> 00:34:09,240
Speaker 1: wait to get a really good tell whenever anyone says

595
00:34:09,600 --> 00:34:15,520
Speaker 1: the so called me to movement, Yes, they're showing their hands.

596
00:34:15,880 --> 00:34:18,960
Speaker 1: Eleanor notes that Mike immediately updated the company rules to

597
00:34:19,000 --> 00:34:22,560
Speaker 1: protect female employees quote and make sure they were given

598
00:34:22,560 --> 00:34:29,680
Speaker 1: premier benefits. Okay, oh good, finally here's here are some

599
00:34:29,760 --> 00:34:34,120
Speaker 1: other things Mike said in the earlier times, as is

600
00:34:34,200 --> 00:34:37,719
Speaker 1: well known thanks to the difference in the earlier time

601
00:34:39,040 --> 00:34:42,280
Speaker 1: in one of his employees told him she was pregnant,

602
00:34:42,280 --> 00:34:44,799
Speaker 1: and Michael Bloomberg said, kill it now. This came up

603
00:34:44,800 --> 00:34:48,799
Speaker 1: in the debate, and he it was basically, was it

604
00:34:48,840 --> 00:34:52,000
Speaker 1: Warren that brought this up? Um? Yeah, And I was

605
00:34:52,040 --> 00:34:54,680
Speaker 1: glad she brought it up. I do what The one

606
00:34:54,719 --> 00:34:56,319
Speaker 1: thing I wish you would have done is when she

607
00:34:56,440 --> 00:34:58,560
Speaker 1: was asked what this was based on, she said it

608
00:34:58,560 --> 00:35:00,239
Speaker 1: was based on this woman testifying, and it is and

609
00:35:00,280 --> 00:35:03,239
Speaker 1: that's that's accurate. But there was also another employee who

610
00:35:03,320 --> 00:35:06,920
Speaker 1: heard it and and like backs up that, like, this

611
00:35:07,000 --> 00:35:09,279
Speaker 1: is not just he said she said, these is other

612
00:35:09,400 --> 00:35:13,160
Speaker 1: people witnessed it and reported it. Um. And they are

613
00:35:13,200 --> 00:35:16,160
Speaker 1: not the only ones who reported Mike Bloomberg saying some

614
00:35:16,239 --> 00:35:19,520
Speaker 1: gross ship gross sh it like the Royal Family. What

615
00:35:19,640 --> 00:35:22,640
Speaker 1: a bunch of misfits, a gay, an architect, that horsey

616
00:35:22,680 --> 00:35:25,240
Speaker 1: faced lesbian, and a kid who gave up coup Stark

617
00:35:25,320 --> 00:35:30,000
Speaker 1: for some fat broad Mike Bloomberg. Everybody. Now, that last

618
00:35:30,040 --> 00:35:32,320
Speaker 1: quote comes from a book called The Portable Bloomberg. Have

619
00:35:32,400 --> 00:35:36,839
Speaker 1: you guys heard of this? Oh my god, I can't

620
00:35:36,840 --> 00:35:38,719
Speaker 1: believe this isn't bigger news. I can't believe it didn't

621
00:35:38,760 --> 00:35:41,239
Speaker 1: make it into a debate. The Portable Bloomberg is a

622
00:35:41,280 --> 00:35:45,640
Speaker 1: book made by employees to celebrate Michael Bloomberg's birthday in

623
00:35:45,760 --> 00:35:53,680
Speaker 1: n Elizabeth dems Yeah, it always a while Elizabeth DeMars,

624
00:35:53,760 --> 00:35:56,759
Speaker 1: Bloomberg's chief marketing officer, and the book's publisher, insists in

625
00:35:56,760 --> 00:36:01,000
Speaker 1: the book, yes, these are all actual quotes. Now, the

626
00:36:01,040 --> 00:36:04,279
Speaker 1: whole book is available online. Somebody gave it to I

627
00:36:04,320 --> 00:36:06,600
Speaker 1: forget which media organizing, but it's out there. You can

628
00:36:06,600 --> 00:36:09,319
Speaker 1: read the whole damn thing. Mike's campaign denies that he

629
00:36:09,360 --> 00:36:12,600
Speaker 1: said anything any of the things written in this gag gift,

630
00:36:12,760 --> 00:36:15,600
Speaker 1: which is how they described it. But that same spoke

631
00:36:15,760 --> 00:36:19,160
Speaker 1: spokesman for the Mike Bloomberg campaign immediately added this to

632
00:36:19,200 --> 00:36:22,360
Speaker 1: the Washington Post. Mike openly admits that his words have

633
00:36:22,400 --> 00:36:24,239
Speaker 1: not always aligned with his values and the way he

634
00:36:24,280 --> 00:36:25,680
Speaker 1: has led his life, and some of what he has

635
00:36:25,719 --> 00:36:30,880
Speaker 1: said is disrespectful and wrong. Yeah, I'm gonna read that

636
00:36:30,920 --> 00:36:34,360
Speaker 1: again and really take in this sentence, Mike openly admits

637
00:36:34,400 --> 00:36:36,600
Speaker 1: that his words have not always aligned with his values

638
00:36:36,640 --> 00:36:38,279
Speaker 1: and the way he has led his life, and some

639
00:36:38,440 --> 00:36:41,400
Speaker 1: of what he has said is disrespectful and wrong. That's

640
00:36:42,640 --> 00:36:48,520
Speaker 1: that's a doozy right there. I love his campaign is uh.

641
00:36:48,560 --> 00:36:50,400
Speaker 1: I wouldn't say good at it because it's so obvious,

642
00:36:50,480 --> 00:36:53,880
Speaker 1: but they love doing stuff like that, um sort of

643
00:36:53,880 --> 00:36:56,279
Speaker 1: talking around things and it's like saying like, yeah, I

644
00:36:56,320 --> 00:36:59,760
Speaker 1: didn't say them, but also they're all jokes. Well yeah,

645
00:37:00,040 --> 00:37:03,799
Speaker 1: when I didn't say them, but they're jokes. Yeah, it's

646
00:37:03,840 --> 00:37:09,480
Speaker 1: a yeah, yeah, it's it's great speaking of disrespectful and wrong.

647
00:37:09,600 --> 00:37:12,480
Speaker 1: Here's another line from the portable Bloomberg. I know that

648
00:37:12,520 --> 00:37:15,040
Speaker 1: for a fact, any self respecting woman who walks past

649
00:37:15,040 --> 00:37:17,279
Speaker 1: a construction site and doesn't get a whistle will turn

650
00:37:17,320 --> 00:37:19,520
Speaker 1: around and walk past again and again until she does

651
00:37:19,560 --> 00:37:24,959
Speaker 1: get one. Good stuff right, this is beautiful stuff. Here's

652
00:37:25,040 --> 00:37:29,359
Speaker 1: what if? Um, yeah, he went away, Um, I'm I'm

653
00:37:29,400 --> 00:37:33,080
Speaker 1: glad that he knows that for a fact any respect,

654
00:37:33,320 --> 00:37:36,200
Speaker 1: because he's right. I I will loop back and forth

655
00:37:36,280 --> 00:37:41,719
Speaker 1: until I get what I deserve, which is some kissing noises. Yeah,

656
00:37:41,719 --> 00:37:45,640
Speaker 1: when when you're famous, they let you do it. I've

657
00:37:45,640 --> 00:37:48,840
Speaker 1: heard now, Cody. That sounds like something a completely different

658
00:37:48,840 --> 00:37:51,399
Speaker 1: and bad person would say, very different from the things

659
00:37:51,400 --> 00:37:54,720
Speaker 1: that Mike Bloomberg said. You know what else Mike Bloomberg said, Cody.

660
00:37:55,760 --> 00:37:58,279
Speaker 1: Here's from the section of the Portable Bloomberg titled on

661
00:37:58,440 --> 00:38:03,600
Speaker 1: employee motivation? Mike, how do you motivate someone? Simple? Are

662
00:38:03,600 --> 00:38:08,640
Speaker 1: they addicted to three meals a day? The best mode

663
00:38:08,640 --> 00:38:16,320
Speaker 1: of fire? I his relationship with like like the boss

664
00:38:16,320 --> 00:38:20,920
Speaker 1: employee relationship he envisions for himself, and the way he've

665
00:38:21,040 --> 00:38:24,200
Speaker 1: used the world is so messed up and like what

666
00:38:24,320 --> 00:38:26,759
Speaker 1: he thinks like people deserve and like how you get

667
00:38:26,800 --> 00:38:29,640
Speaker 1: them to do stuff for you. It's just disgusting. Just

668
00:38:29,640 --> 00:38:33,320
Speaker 1: wait for the next quote. I don't want to a

669
00:38:33,440 --> 00:38:36,879
Speaker 1: customer think he's getting laid when he's getting fucked. Oh

670
00:38:36,920 --> 00:38:44,600
Speaker 1: my god. Yeah, there we go on negotiations. Oh boy, Cody,

671
00:38:44,719 --> 00:38:47,239
Speaker 1: you I'm so We're so have so many more of

672
00:38:47,280 --> 00:38:50,640
Speaker 1: these on negotiations. What do I want? I want an

673
00:38:50,680 --> 00:38:53,480
Speaker 1: exclusive ten year contract and automatic extension, and I want

674
00:38:53,520 --> 00:38:55,080
Speaker 1: you to pay me, and I want to blow job

675
00:38:55,200 --> 00:38:59,000
Speaker 1: from name blanked out? Have you seen name blanked out lately?

676
00:38:59,280 --> 00:39:02,680
Speaker 1: Not bad for fifty Oh my god. Because he's anti bimbo.

677
00:39:02,760 --> 00:39:05,759
Speaker 1: He likes older women, he hates he hates bimbo. Is

678
00:39:05,880 --> 00:39:09,680
Speaker 1: very good. Thank you Mike for your bravery. Other Mike

679
00:39:09,719 --> 00:39:15,120
Speaker 1: Bloomberg quotes on negotiations. Keep your legs closed. Always pick

680
00:39:15,160 --> 00:39:19,200
Speaker 1: a fight with someone smaller than you, as Chuck Colson

681
00:39:19,280 --> 00:39:21,799
Speaker 1: put it, if you have them by their balls, their

682
00:39:21,840 --> 00:39:25,520
Speaker 1: hearts and minds will follow. Don't get even get revenge.

683
00:39:26,160 --> 00:39:29,239
Speaker 1: Use the Nancy Reagan defense. Just say no and then.

684
00:39:29,280 --> 00:39:32,279
Speaker 1: Here's from a section on called on being told no.

685
00:39:33,520 --> 00:39:36,080
Speaker 1: Let me tell you something, buddy boy, I have pictures

686
00:39:36,080 --> 00:39:39,719
Speaker 1: of you and they're not with your wife. Boom you got,

687
00:39:39,840 --> 00:39:45,480
Speaker 1: boom blerg. Here's from a section called characterization of a

688
00:39:45,520 --> 00:39:56,440
Speaker 1: competitor cokehead, womanizing fag excellent man of the people on computers.

689
00:39:56,840 --> 00:39:59,280
Speaker 1: You know why computers will never take the place of people,

690
00:39:59,520 --> 00:40:01,560
Speaker 1: Because if computer would say that the sex of the

691
00:40:01,600 --> 00:40:08,960
Speaker 1: person giving you a blowjob doesn't matter. Joe. Yeah, you

692
00:40:09,080 --> 00:40:12,759
Speaker 1: like the comedies. These are the I've been wa you know,

693
00:40:12,800 --> 00:40:16,160
Speaker 1: Trump's a funny president, but we need a hilarious one.

694
00:40:17,400 --> 00:40:20,160
Speaker 1: And then here's from a section called on the Bloomberg,

695
00:40:20,200 --> 00:40:22,239
Speaker 1: which is remembered the terminal thing that he made his

696
00:40:22,280 --> 00:40:25,920
Speaker 1: fortune selling. It will do everything, including give you a blowjob.

697
00:40:26,320 --> 00:40:28,279
Speaker 1: I guess that puts a lot of you girls out

698
00:40:28,280 --> 00:40:33,200
Speaker 1: of business. I'm really upset. I mean, these are things

699
00:40:33,200 --> 00:40:35,719
Speaker 1: that Mike Bloomberg said to his employees often enough that

700
00:40:35,760 --> 00:40:38,840
Speaker 1: they wound up in a published book that this employees

701
00:40:38,920 --> 00:40:41,400
Speaker 1: circulated amongst themselves and gave him as a gift. And

702
00:40:41,440 --> 00:40:45,640
Speaker 1: here is my favorite last quote by Mike Bloomberg. If

703
00:40:45,760 --> 00:40:48,440
Speaker 1: Jesus was a Jew, why does he have a Puerto

704
00:40:48,560 --> 00:40:54,520
Speaker 1: Rican first name? Interesting question. He's posted another some more

705
00:40:54,560 --> 00:40:59,920
Speaker 1: playful ribbing from the best candidate we have to offer.

706
00:41:00,960 --> 00:41:04,520
Speaker 1: Of the jokes, I am not enjoying because they're just

707
00:41:04,640 --> 00:41:07,880
Speaker 1: especially especially since his excuse for everything was it was

708
00:41:08,520 --> 00:41:11,320
Speaker 1: it's really upsetting. So I'm going to stop playing along

709
00:41:11,440 --> 00:41:15,280
Speaker 1: that it's funny good. It's horrible. I think it's absolutely

710
00:41:15,320 --> 00:41:18,920
Speaker 1: like none of these are funny. Um yeah, I mean

711
00:41:19,080 --> 00:41:22,520
Speaker 1: like some of them are terms like there's no reason

712
00:41:22,560 --> 00:41:26,719
Speaker 1: to use that those certain words ever, No, like they

713
00:41:26,719 --> 00:41:28,719
Speaker 1: aren't all some of them are, I guess fine within

714
00:41:28,760 --> 00:41:30,759
Speaker 1: the context of a businessman, like the idea that like, yeah,

715
00:41:30,800 --> 00:41:34,640
Speaker 1: you gotta you gotta funk the customers, like they are

716
00:41:34,800 --> 00:41:37,600
Speaker 1: pretty common in that, but like a lot of this

717
00:41:37,680 --> 00:41:39,560
Speaker 1: is yeah, it points to the kind of man that

718
00:41:39,640 --> 00:41:42,120
Speaker 1: he is. That's how he did how I used people

719
00:41:42,120 --> 00:41:45,400
Speaker 1: who are him, how I used power and assist gross

720
00:41:46,239 --> 00:41:48,719
Speaker 1: m hmm. Now, I always want to be fair to people,

721
00:41:48,880 --> 00:41:50,880
Speaker 1: and it wouldn't be it would be unfair to not

722
00:41:51,000 --> 00:41:53,560
Speaker 1: make it very clear that Mike Bloomberg's employees, the ones

723
00:41:53,560 --> 00:41:56,080
Speaker 1: who wrote the portable Bloomberg at least, did so because

724
00:41:56,160 --> 00:41:59,120
Speaker 1: they really liked him. The author of this tone, a woman,

725
00:41:59,280 --> 00:42:02,120
Speaker 1: described the work king environment at Bloomberg's company as being

726
00:42:02,280 --> 00:42:05,640
Speaker 1: quote like a religious sect in terms of the devotion

727
00:42:05,680 --> 00:42:08,759
Speaker 1: of employees to their boss. So I do have to

728
00:42:08,840 --> 00:42:11,040
Speaker 1: note that like the folks that he said these things to,

729
00:42:11,280 --> 00:42:15,600
Speaker 1: a number of them, at least um considered these things

730
00:42:15,680 --> 00:42:19,160
Speaker 1: to be charming and witty. But not all of his employees.

731
00:42:19,320 --> 00:42:21,839
Speaker 1: And I can't say what percentage of them felt that way.

732
00:42:22,120 --> 00:42:25,239
Speaker 1: I can say that a significant number of other employees

733
00:42:25,360 --> 00:42:27,839
Speaker 1: were deeply unhappy with things that Mike said over the years.

734
00:42:28,120 --> 00:42:30,200
Speaker 1: We do not know entirely how many of those people

735
00:42:30,239 --> 00:42:34,520
Speaker 1: there were because of nondisclosure agreements. Um, but we know that.

736
00:42:34,719 --> 00:42:39,680
Speaker 1: For example, in former executive Sachiko Sakai Garrison sued the company,

737
00:42:39,719 --> 00:42:42,360
Speaker 1: claiming that, among other things, Mike had asked her if

738
00:42:42,440 --> 00:42:45,000
Speaker 1: she was still dating her boyfriend. When she said yes,

739
00:42:45,160 --> 00:42:56,319
Speaker 1: he asked you giving him good blow jobs? Yeah? No one,

740
00:42:56,760 --> 00:42:59,719
Speaker 1: no one at all. In n he was accused of

741
00:42:59,760 --> 00:43:03,040
Speaker 1: tell one male employee about his girlfriend, who was also

742
00:43:03,120 --> 00:43:06,360
Speaker 1: an employee, that is one great piece of ass. You

743
00:43:06,480 --> 00:43:11,560
Speaker 1: must be a great fuck. Oh it's coming to an

744
00:43:11,560 --> 00:43:15,960
Speaker 1: employee compliment. All the best bosses tell their employees they

745
00:43:16,040 --> 00:43:21,080
Speaker 1: must be great fox mm hmm. Yeah, I have nothing

746
00:43:21,080 --> 00:43:23,239
Speaker 1: to add. I'm angry right now. There's no joke. Yeah,

747
00:43:24,000 --> 00:43:26,040
Speaker 1: it's just is. He's just like he's just like a

748
00:43:26,120 --> 00:43:28,319
Speaker 1: gross rich guy who has power over all these people

749
00:43:28,320 --> 00:43:29,719
Speaker 1: and things. You can do what ever he wants and

750
00:43:29,840 --> 00:43:32,279
Speaker 1: never had to learn to like not be an asshole. Um.

751
00:43:32,920 --> 00:43:35,440
Speaker 1: At a sales conference in six Mike told all of

752
00:43:35,480 --> 00:43:37,920
Speaker 1: his sales people that he would quote like nothing more

753
00:43:37,960 --> 00:43:40,080
Speaker 1: in life. Than to have Sharon Stone sit on my

754
00:43:40,239 --> 00:43:44,840
Speaker 1: face again. This was at a work event. Yeah. Before

755
00:43:44,880 --> 00:43:47,040
Speaker 1: we conclude my section, I want to talk a little

756
00:43:47,080 --> 00:43:49,680
Speaker 1: bit more about the Bloomberg terminal. It is, by all accounts,

757
00:43:49,719 --> 00:43:51,440
Speaker 1: a great product, one that has survived the birth of

758
00:43:51,480 --> 00:43:54,400
Speaker 1: the smartphone era by being absolutely indispensable to the traders

759
00:43:54,440 --> 00:43:56,960
Speaker 1: who use it. These terminals have a lot of information

760
00:43:57,040 --> 00:43:59,560
Speaker 1: on their subscribers, and in two thousand and thirteen, Bloomberg

761
00:43:59,600 --> 00:44:01,840
Speaker 1: News report orders were caught using the terminal to steal

762
00:44:01,880 --> 00:44:06,200
Speaker 1: subscriber information and figure out what they were using it for. Effectively,

763
00:44:06,280 --> 00:44:09,400
Speaker 1: the journalism component of Mike Bloomberg's operation was using the

764
00:44:09,560 --> 00:44:12,680
Speaker 1: terminals that he sold to his traders to spy on

765
00:44:12,840 --> 00:44:16,400
Speaker 1: them in order to report on trading. Bloomberg admitted that

766
00:44:16,480 --> 00:44:20,040
Speaker 1: this practice was common and then regretfully changed the practice.

767
00:44:20,600 --> 00:44:23,480
Speaker 1: More recently, The Financial Times found that the Bloomberg terminals

768
00:44:23,520 --> 00:44:26,919
Speaker 1: were directing users to his campaign website when they typed

769
00:44:26,960 --> 00:44:29,520
Speaker 1: in the word Mike. This was claimed by a spokesman

770
00:44:29,600 --> 00:44:33,439
Speaker 1: to be an honest mistake. We accidentally coded this into

771
00:44:33,480 --> 00:44:37,520
Speaker 1: the terminal, so sorry. Maybe the guy with the history

772
00:44:37,560 --> 00:44:41,000
Speaker 1: of like spying on people and like people in the

773
00:44:41,080 --> 00:44:44,080
Speaker 1: City's mayor of h maybe it wasn't an accident. I

774
00:44:44,120 --> 00:44:46,840
Speaker 1: don't know. Maybe maybe I don't know. That's that's my

775
00:44:47,000 --> 00:44:52,000
Speaker 1: seven pages on Mike Bloomberg. A lot of a lot

776
00:44:52,080 --> 00:44:53,680
Speaker 1: of details packed in here. We got to take a

777
00:44:53,760 --> 00:44:56,879
Speaker 1: quick break and then we'll be back for more things. Hey, Mike,

778
00:44:57,480 --> 00:45:00,600
Speaker 1: tell us, tell us why we're you're great. Tell me

779
00:45:00,640 --> 00:45:02,320
Speaker 1: I'm a good funck Mike. I need to hear that

780
00:45:02,480 --> 00:45:05,279
Speaker 1: once a day from my boss. We can take care

781
00:45:05,280 --> 00:45:20,560
Speaker 1: about you together. Everything don't And we're back from those ads.

782
00:45:21,320 --> 00:45:27,080
Speaker 1: We're gonna talk about some other things Mayor Blurg boom related. Uh. Yeah,

783
00:45:27,120 --> 00:45:29,040
Speaker 1: there we talk about his time as mayor of New

784
00:45:29,120 --> 00:45:32,320
Speaker 1: York City. Uh, we don't have very much that it's unproblematic.

785
00:45:32,480 --> 00:45:35,200
Speaker 1: It did. We can't get into all the nitty gritty,

786
00:45:35,280 --> 00:45:38,000
Speaker 1: just kind of like the highlights. Uh. And perhaps the

787
00:45:38,040 --> 00:45:39,680
Speaker 1: most important thing he did while he was in office

788
00:45:39,800 --> 00:45:44,480
Speaker 1: was frequently participate in the annual Inner Circle charity review

789
00:45:45,040 --> 00:45:48,320
Speaker 1: show that brings Broadway stars and local politicians together on

790
00:45:48,520 --> 00:45:53,080
Speaker 1: stage to roast the city themselves. Proceeds get donated to charities.

791
00:45:53,640 --> 00:45:55,279
Speaker 1: I mean, I just I want to play a really

792
00:45:55,360 --> 00:45:57,840
Speaker 1: a quick clip because I think we can all agree

793
00:45:57,880 --> 00:45:59,279
Speaker 1: that the man is a star and he was born

794
00:45:59,360 --> 00:46:03,239
Speaker 1: for this stage. Don't really don't snapping up there? We

795
00:46:03,320 --> 00:46:09,640
Speaker 1: got don't hear the words American trouble or rocks taking

796
00:46:11,719 --> 00:46:22,680
Speaker 1: the bus, but the cops that we got here rows everywhere. Okay, okay,

797
00:46:23,040 --> 00:46:27,520
Speaker 1: you get the point, Like it's a natural star. I

798
00:46:27,680 --> 00:46:30,640
Speaker 1: liked it. It's like somebody took what's the most charismaticman.

799
00:46:30,719 --> 00:46:34,080
Speaker 1: I think it's like somebody took George Clooney and then

800
00:46:35,920 --> 00:46:39,160
Speaker 1: like like caused the human equivalent of whatever happens when

801
00:46:39,200 --> 00:46:42,040
Speaker 1: a star dies, so that he collapsed in on himself

802
00:46:42,120 --> 00:46:46,680
Speaker 1: and was replaced by a negative reality version of him.

803
00:46:46,880 --> 00:46:50,080
Speaker 1: It sucks of all of it's it's charisma, Like that's

804
00:46:50,680 --> 00:46:53,840
Speaker 1: Mike Bloomberg as a performer. But that's not all he

805
00:46:54,000 --> 00:46:56,560
Speaker 1: did as mayor. He also really stuck it to the

806
00:46:56,600 --> 00:47:00,239
Speaker 1: homeless people. Not only did the homeless population balloon to

807
00:47:00,280 --> 00:47:02,799
Speaker 1: the highest number since the Depression while he was mayor,

808
00:47:03,080 --> 00:47:06,680
Speaker 1: in two thousand nine, Bloomberg's administration started secretly charging rent

809
00:47:06,760 --> 00:47:09,600
Speaker 1: to homeless families that had some that had some income

810
00:47:09,680 --> 00:47:13,240
Speaker 1: coming in from jobs. And we're living in publicly run shelters.

811
00:47:13,800 --> 00:47:16,640
Speaker 1: Uh quote Vanessa da Costa, who earns eight dollars and

812
00:47:16,680 --> 00:47:18,880
Speaker 1: forty cents an hour as a cashier at Sparro, received

813
00:47:18,880 --> 00:47:21,160
Speaker 1: a notice under her door several weeks ago informing her

814
00:47:21,239 --> 00:47:23,720
Speaker 1: that she had to give three hundred thirty six dollars

815
00:47:23,800 --> 00:47:27,040
Speaker 1: of her approximately eight hundred dollars per month in wages

816
00:47:27,080 --> 00:47:29,359
Speaker 1: to the Clinton family in a shelter in Hell's Kitchen,

817
00:47:29,400 --> 00:47:32,880
Speaker 1: where she has lived since March um. And apparently this

818
00:47:32,960 --> 00:47:35,839
Speaker 1: had been a state law since nineteven that the city

819
00:47:36,080 --> 00:47:38,600
Speaker 1: could charge rent at homeless shelters, but it didn't get

820
00:47:38,640 --> 00:47:41,080
Speaker 1: inforced until the city got audited and had to pay

821
00:47:41,200 --> 00:47:44,960
Speaker 1: back state housing aid under Bloomberg Um And so they

822
00:47:45,000 --> 00:47:49,360
Speaker 1: started jumping through hoops justifying it. Uh you know. This

823
00:47:49,480 --> 00:47:51,960
Speaker 1: is a quote from Robert Hess, the city commissioner of

824
00:47:52,239 --> 00:47:54,640
Speaker 1: homeless services at the time. I think it's hard to

825
00:47:54,760 --> 00:47:57,800
Speaker 1: argue that families that can contribute to their shelter costs shouldn't.

826
00:47:58,239 --> 00:48:00,360
Speaker 1: I don't see this playing out in an advert sway.

827
00:48:00,560 --> 00:48:02,960
Speaker 1: Our objective is not for families to remain in shelter.

828
00:48:03,120 --> 00:48:05,600
Speaker 1: Are objective is to move families back into their own

829
00:48:05,640 --> 00:48:10,600
Speaker 1: homes and into the community. Right, So, paying a really

830
00:48:10,680 --> 00:48:14,759
Speaker 1: high percentage of your very low income. Is that going

831
00:48:14,800 --> 00:48:17,640
Speaker 1: to help them move out of a shelter? I don't.

832
00:48:17,719 --> 00:48:20,279
Speaker 1: That's how you save That's how you save money. Also, uh,

833
00:48:21,360 --> 00:48:23,719
Speaker 1: what about so they're charging rent? Are they protected by

834
00:48:23,760 --> 00:48:29,160
Speaker 1: renters laws? I don't think so. Okay, I want to

835
00:48:30,800 --> 00:48:33,080
Speaker 1: light something on fire, like and not in like the

836
00:48:33,160 --> 00:48:35,120
Speaker 1: whimsical way, but in like the I can't think of

837
00:48:35,160 --> 00:48:39,440
Speaker 1: anything more ghoulish than the billionaire mayor of a city

838
00:48:39,920 --> 00:48:44,040
Speaker 1: being like this law that nobody has, like like this

839
00:48:44,239 --> 00:48:46,719
Speaker 1: thing that's possible, but no one's done because it's so

840
00:48:46,840 --> 00:48:51,720
Speaker 1: ghoulishly vile. Let's do that because these shiftless homeless people

841
00:48:51,800 --> 00:48:55,040
Speaker 1: have it too easy. It's yeah, it's the it's the

842
00:48:55,680 --> 00:48:57,960
Speaker 1: how do you keep someone employed? Do they need three

843
00:48:57,960 --> 00:48:59,600
Speaker 1: meals a day? Or whatever that quote was. It's just

844
00:48:59,800 --> 00:49:03,799
Speaker 1: like and then, yeah, this is the policy pushed by

845
00:49:03,840 --> 00:49:06,279
Speaker 1: the same man who then spent enough money to home

846
00:49:06,480 --> 00:49:10,160
Speaker 1: every homeless person in New York City on his vanity election. Sorry,

847
00:49:10,520 --> 00:49:14,000
Speaker 1: we we know. Yeah, anyway, you think that's bad. Let's

848
00:49:14,000 --> 00:49:17,960
Speaker 1: talk about stopping FRISKA What is stopping frisk According to

849
00:49:18,120 --> 00:49:22,239
Speaker 1: the Cornell Law School, it refers to a brief nonintrusive

850
00:49:22,320 --> 00:49:25,440
Speaker 1: police stop of a suspect. The Fourth Amendment requires that

851
00:49:25,480 --> 00:49:28,040
Speaker 1: before stopping the suspect, the police must have a reasonable

852
00:49:28,080 --> 00:49:30,320
Speaker 1: suspicion that a crime has been, is being, or is

853
00:49:30,320 --> 00:49:32,880
Speaker 1: about to be committed by the suspect. If the police

854
00:49:32,960 --> 00:49:35,719
Speaker 1: reasonably suspect that the suspect is armed and dangerous, the

855
00:49:35,760 --> 00:49:38,480
Speaker 1: police may frisk the subject, meaning that the police will

856
00:49:38,520 --> 00:49:41,040
Speaker 1: give a quick pat down of the suspect's outer clothing.

857
00:49:41,680 --> 00:49:45,239
Speaker 1: And I'm sorry this definition leaves out a lot like

858
00:49:45,360 --> 00:49:48,279
Speaker 1: how easy it is for police officers to abuse and

859
00:49:48,400 --> 00:49:51,480
Speaker 1: how it unfairly targets people of color, exacerbating racism and

860
00:49:51,560 --> 00:49:56,240
Speaker 1: tensioned between minority communities and the police. Now, stopping frisk

861
00:49:56,320 --> 00:49:58,279
Speaker 1: had been a staple of policing in the US since

862
00:49:58,360 --> 00:50:02,560
Speaker 1: before Bloomberg took office. UH. The strategy spread with the

863
00:50:02,640 --> 00:50:06,759
Speaker 1: adoption of the data focused CompStat management system that was

864
00:50:06,880 --> 00:50:10,400
Speaker 1: started in the nineties. UH. This system allowed police to

865
00:50:10,480 --> 00:50:12,799
Speaker 1: track and respond to crime trends in real time. There's

866
00:50:12,800 --> 00:50:14,680
Speaker 1: actually a really good reply all. I think it's a

867
00:50:14,719 --> 00:50:17,520
Speaker 1: two parter, but anyway, they've got a really good reply

868
00:50:17,560 --> 00:50:19,680
Speaker 1: all on the CONSTAT system and I you know, I

869
00:50:19,760 --> 00:50:22,640
Speaker 1: recommend checking it out. But basically, UH it was a

870
00:50:22,680 --> 00:50:25,360
Speaker 1: system that evolved from efforts to stop subway crime. They

871
00:50:25,400 --> 00:50:28,520
Speaker 1: started using data to track where pickpockets and muggers were

872
00:50:28,880 --> 00:50:31,000
Speaker 1: committing their crimes and stay one step ahead of them.

873
00:50:31,480 --> 00:50:34,080
Speaker 1: And it worked. Crime rates started going down and received

874
00:50:34,080 --> 00:50:37,600
Speaker 1: a lot of positive feedback. Other states and cities began

875
00:50:37,640 --> 00:50:40,799
Speaker 1: adopting the same measures. But then the city got caught

876
00:50:40,880 --> 00:50:43,680
Speaker 1: in the cycle of needing to constantly improve crime stats,

877
00:50:43,719 --> 00:50:47,000
Speaker 1: and officers were pressured to up their arrests, etcetera. And

878
00:50:47,160 --> 00:50:50,880
Speaker 1: and police found themselves being punished if they didn't participate

879
00:50:50,960 --> 00:50:53,640
Speaker 1: in this kind of corrupt, racist system, you know, because

880
00:50:54,000 --> 00:50:57,120
Speaker 1: they have all this pressure to up there are arrests

881
00:50:57,160 --> 00:51:00,279
Speaker 1: and stop crime, and so they're targeting you know, um

882
00:51:00,600 --> 00:51:07,120
Speaker 1: Like there's stories about um rapists, people riping prostitutes and

883
00:51:07,960 --> 00:51:12,319
Speaker 1: prostitutes getting pulled in you know. Anyway, the whole thing,

884
00:51:12,600 --> 00:51:15,239
Speaker 1: it was bigger than just stopping frisk, but it really

885
00:51:15,640 --> 00:51:19,040
Speaker 1: that's part of the reason why stopping frisk exploded enduring

886
00:51:19,680 --> 00:51:24,000
Speaker 1: Bloomberg's tenure from two thousand to two thousand thirteen. Stopping

887
00:51:24,280 --> 00:51:28,080
Speaker 1: frisk bloomed officers stopped UH people they believed to be

888
00:51:28,200 --> 00:51:32,400
Speaker 1: engaged in criminal activity more than five million times. Officers

889
00:51:32,520 --> 00:51:35,440
Speaker 1: often searched the date detainees, the vast majority of whom

890
00:51:35,480 --> 00:51:41,520
Speaker 1: we're black and Latino men, UH, for weapons that rarely materialized. Technically,

891
00:51:41,560 --> 00:51:44,160
Speaker 1: officers are required to have reasonable belief that a person is,

892
00:51:44,280 --> 00:51:46,240
Speaker 1: has been, or is about to be, you know, involved

893
00:51:46,239 --> 00:51:49,200
Speaker 1: in a crime. But you know, many, many, many, many

894
00:51:49,320 --> 00:51:52,359
Speaker 1: police officers will take the color of someone skin as

895
00:51:52,400 --> 00:51:55,000
Speaker 1: a reasonable belief that a person may have been involved

896
00:51:55,040 --> 00:51:57,799
Speaker 1: in a crime, especially since they were under so much

897
00:51:57,800 --> 00:52:01,560
Speaker 1: pressure to keep stopping frisk numbers up. UH crime rates

898
00:52:01,640 --> 00:52:04,480
Speaker 1: did continue to go down during his time in office.

899
00:52:04,600 --> 00:52:07,239
Speaker 1: Bloomberg pointed to this as cause and effect that the

900
00:52:07,320 --> 00:52:10,240
Speaker 1: city was safer because they were taking guns off the street.

901
00:52:10,719 --> 00:52:16,960
Speaker 1: But in August, US District Judge Uh Sharra I can't

902
00:52:16,960 --> 00:52:21,680
Speaker 1: pronounce her last name, Schidelman, Shine Lynn. I'm sorry, Sara,

903
00:52:21,680 --> 00:52:24,879
Speaker 1: if you're listening, Uh ruled that stop and risk had

904
00:52:24,880 --> 00:52:27,640
Speaker 1: been used in an unconstitutional manner um and that the

905
00:52:27,640 --> 00:52:31,120
Speaker 1: police had to adopt a written policy to specify which

906
00:52:31,200 --> 00:52:35,879
Speaker 1: stops were authorized. And so it's you know changed, Uh

907
00:52:36,440 --> 00:52:39,040
Speaker 1: and Blueberg in his administration, will you know, talk about

908
00:52:39,080 --> 00:52:41,520
Speaker 1: how crime rates would go back up if they abandoned

909
00:52:41,560 --> 00:52:43,680
Speaker 1: stop and frisk, But that doesn't seem to be true.

910
00:52:44,360 --> 00:52:47,319
Speaker 1: For example, in five years after that ruling, the murder

911
00:52:47,440 --> 00:52:50,080
Speaker 1: rate was at the lowest it's been since the fifties, um,

912
00:52:50,360 --> 00:52:54,880
Speaker 1: for example. So okay, yeah, it's probably worth noting that

913
00:52:55,040 --> 00:52:57,879
Speaker 1: in the time period when New York had its incredibly

914
00:52:58,160 --> 00:53:01,919
Speaker 1: incredible drop in cry the rest of the United States

915
00:53:02,000 --> 00:53:04,719
Speaker 1: also had a massive drop in violence. Well yeah, yeah,

916
00:53:05,520 --> 00:53:09,000
Speaker 1: so okay, maybe that's an important thing to note. Maybe

917
00:53:09,040 --> 00:53:12,360
Speaker 1: he learned from the mistakes of his of his past.

918
00:53:12,719 --> 00:53:15,560
Speaker 1: You know, since entering the presidential race, he has apologized

919
00:53:15,880 --> 00:53:19,800
Speaker 1: for his past positions, but unfortunately as recently as he

920
00:53:19,840 --> 00:53:23,600
Speaker 1: has been on record defending Stop and frisk. In February,

921
00:53:23,680 --> 00:53:27,520
Speaker 1: and audio recording surface of Bloomberg defending the program at

922
00:53:27,560 --> 00:53:31,680
Speaker 1: a Aspen Institute event um. In the speech, he said,

923
00:53:33,320 --> 00:53:36,360
Speaker 1: of murders, murderers and murder victims fit one m O.

924
00:53:36,680 --> 00:53:38,919
Speaker 1: You can just take the description xerox it and pass

925
00:53:38,960 --> 00:53:41,520
Speaker 1: it out to all the cops. They are male minorities

926
00:53:41,840 --> 00:53:44,080
Speaker 1: sixteen to twenty five. That's true in New York, that's

927
00:53:44,080 --> 00:53:46,680
Speaker 1: true and virtually every city. And that's where the real

928
00:53:46,760 --> 00:53:48,239
Speaker 1: crime is you've got to get the guns out of

929
00:53:48,239 --> 00:53:50,400
Speaker 1: the hands of the people that are getting killed you,

930
00:53:50,680 --> 00:53:52,480
Speaker 1: So you want to spend the money on a lot

931
00:53:52,520 --> 00:53:54,200
Speaker 1: of cops on the street. Put those cops where the

932
00:53:54,239 --> 00:53:57,520
Speaker 1: crime is, which means in minority neighborhoods. So one of

933
00:53:57,560 --> 00:54:00,040
Speaker 1: the unattended consequences is people say, oh, my god, you

934
00:54:00,080 --> 00:54:03,319
Speaker 1: are resting kids from marijuana that are all minorities. Yeah,

935
00:54:03,440 --> 00:54:06,080
Speaker 1: that's true. Why because we put all the cops in

936
00:54:06,120 --> 00:54:08,719
Speaker 1: minority neighborhoods. Yes, that's true. Why do we do it?

937
00:54:08,960 --> 00:54:10,920
Speaker 1: Because that's where all the crime is. And the way

938
00:54:10,960 --> 00:54:12,400
Speaker 1: you get the guns out of the kid's hands is

939
00:54:12,440 --> 00:54:14,200
Speaker 1: to throw them up against the wall and frisk them,

940
00:54:14,480 --> 00:54:16,600
Speaker 1: and then they start, oh, I don't want to get hot,

941
00:54:16,880 --> 00:54:18,680
Speaker 1: so they don't bring the gun. They still have a gun,

942
00:54:18,760 --> 00:54:22,640
Speaker 1: but they leave it at home. Cool cool cool cool.

943
00:54:22,920 --> 00:54:27,640
Speaker 1: Um yea nauseating should not be allowed to run for president,

944
00:54:27,680 --> 00:54:33,480
Speaker 1: should never have been mayor continue, shouldn't um that's m

945
00:54:33,719 --> 00:54:39,200
Speaker 1: m H. Enrollment and attendance of schools in those neighborhoods

946
00:54:39,239 --> 00:54:43,000
Speaker 1: went down during stop and frisk because they were dead terrified,

947
00:54:44,000 --> 00:54:48,080
Speaker 1: uh to go to school anyway, all sorts of other

948
00:54:48,120 --> 00:54:50,200
Speaker 1: dumb shit happened while he was mayor. He cracked on

949
00:54:50,280 --> 00:54:53,600
Speaker 1: on civil liberties like protests under the guys of fighting terrorism.

950
00:54:53,719 --> 00:54:57,359
Speaker 1: He tried to stop regulations on toxic chemicals and paint dust.

951
00:54:57,440 --> 00:54:59,960
Speaker 1: I guess, oh yeah, And he got the New Yor

952
00:55:00,080 --> 00:55:05,160
Speaker 1: City Council to approve changes to term limits laws, which

953
00:55:05,160 --> 00:55:09,160
Speaker 1: allowed Bloomer to sink and win a third term. Um.

954
00:55:09,560 --> 00:55:12,200
Speaker 1: People were not happy about this, but it's hard to

955
00:55:12,360 --> 00:55:15,719
Speaker 1: say no to Bloomberg, especially at that time. You know,

956
00:55:15,880 --> 00:55:18,479
Speaker 1: his vast wealth gave him enormous power in the city.

957
00:55:18,880 --> 00:55:21,320
Speaker 1: He was a huge donor to charities and different organizations.

958
00:55:21,400 --> 00:55:23,800
Speaker 1: He basically bought their loyalty. Uh, and so it was

959
00:55:23,840 --> 00:55:26,200
Speaker 1: hard for people to speak out against him and to

960
00:55:26,280 --> 00:55:29,600
Speaker 1: gain traction and all that. So I guess maybe that's

961
00:55:29,840 --> 00:55:34,640
Speaker 1: that's where the similarities end. That's that's it. Anyway, That's

962
00:55:34,719 --> 00:55:37,800
Speaker 1: that's what I got. Five the mayor section. Yeah, I

963
00:55:37,880 --> 00:55:42,000
Speaker 1: mean even just the stop and frisk stuff should be disqualifying.

964
00:55:42,400 --> 00:55:45,360
Speaker 1: That that quote, the mindset behind it. They kind of

965
00:55:45,400 --> 00:55:48,560
Speaker 1: addressed this at the at the one of the debates,

966
00:55:49,200 --> 00:55:54,520
Speaker 1: but like he apologized ultimately for uh what the policy did,

967
00:55:55,239 --> 00:55:58,400
Speaker 1: not what it is. He has yet to acknowledge like,

968
00:55:58,480 --> 00:56:00,880
Speaker 1: oh yeah, maybe it was a bad idea. Maybe the

969
00:56:01,000 --> 00:56:03,560
Speaker 1: thinking behind it is actually very bad. And you know,

970
00:56:03,680 --> 00:56:05,840
Speaker 1: he claims that he didn't understand how bad it was

971
00:56:05,920 --> 00:56:08,319
Speaker 1: at the time, but that's not true. People were protesting.

972
00:56:08,480 --> 00:56:10,359
Speaker 1: He knew exactly what was happened. Well, he also says

973
00:56:10,400 --> 00:56:12,080
Speaker 1: that he, uh, you know, I rolled it back. I

974
00:56:12,160 --> 00:56:15,080
Speaker 1: ended up rolling it back. Well, they made you, yea,

975
00:56:15,640 --> 00:56:20,880
Speaker 1: they forced to roll it back after massive out. They

976
00:56:20,960 --> 00:56:23,080
Speaker 1: stopped to you and frissed you, and they found out.

977
00:56:23,160 --> 00:56:26,480
Speaker 1: Oh no, he's got a bad policy. I want to

978
00:56:26,560 --> 00:56:28,399
Speaker 1: roll some things by you. I do want to say

979
00:56:28,440 --> 00:56:30,439
Speaker 1: a little thing about guns, And because this is something

980
00:56:30,520 --> 00:56:33,120
Speaker 1: that particularly frustrates me with Bloomberg, I understand that I

981
00:56:33,160 --> 00:56:35,400
Speaker 1: am not on the same page as a lot of

982
00:56:35,680 --> 00:56:39,359
Speaker 1: Democrats when it comes to firearms, um, and I try

983
00:56:39,400 --> 00:56:42,239
Speaker 1: not to make that a huge portion of the show

984
00:56:42,440 --> 00:56:45,400
Speaker 1: or anything, because like people can want to even ban

985
00:56:45,440 --> 00:56:47,520
Speaker 1: assault weapons, which I don't personally agree with. And it's

986
00:56:47,520 --> 00:56:49,719
Speaker 1: not I don't think that they're they're bad people or

987
00:56:49,800 --> 00:56:51,880
Speaker 1: dumb for wanting that. I just happened to disagree, But

988
00:56:51,960 --> 00:56:53,840
Speaker 1: it pisses me off when a guy like Mike Bloomberg

989
00:56:54,120 --> 00:56:55,840
Speaker 1: says a lot of the things he says about guns.

990
00:56:55,960 --> 00:56:58,160
Speaker 1: For one thing, he has bragged a lot about the

991
00:56:58,400 --> 00:57:00,399
Speaker 1: fact that New York is much safer now on gun

992
00:57:00,480 --> 00:57:03,719
Speaker 1: control policies, and I have some serious doubts as to

993
00:57:03,760 --> 00:57:06,080
Speaker 1: how much of a factor they played, primarily due to

994
00:57:06,120 --> 00:57:08,359
Speaker 1: the fact that the kinds of firearms that are used

995
00:57:08,400 --> 00:57:11,040
Speaker 1: in crimes in New York are We're not the kind

996
00:57:11,080 --> 00:57:13,440
Speaker 1: of assault weapons that we're currently talking about. They're usually

997
00:57:13,560 --> 00:57:15,960
Speaker 1: like five and six shot revolvers. But outside of that,

998
00:57:16,520 --> 00:57:20,840
Speaker 1: what frustrates me about Michael Bloomberg talking about his desire

999
00:57:20,920 --> 00:57:23,880
Speaker 1: for more gun control is that Michael Bloomberg, for the

1000
00:57:23,960 --> 00:57:26,920
Speaker 1: vast majority of his life, has hired a coterie of

1001
00:57:27,000 --> 00:57:29,680
Speaker 1: bodyguards armed with the kind of weapons that he does

1002
00:57:29,760 --> 00:57:32,480
Speaker 1: not believed should be legal for other people to possess.

1003
00:57:33,000 --> 00:57:35,920
Speaker 1: And it is frustrating to me when a private billionaire

1004
00:57:36,080 --> 00:57:40,240
Speaker 1: hires what amounts to a private military force with assault weapons,

1005
00:57:40,400 --> 00:57:44,960
Speaker 1: with semi automatic handguns, with concealed handgun licenses that normal

1006
00:57:45,040 --> 00:57:48,760
Speaker 1: New Yorkers cannot get, but his special bodyguards can because

1007
00:57:48,840 --> 00:57:51,280
Speaker 1: he's the mayor and because he can, or because he

1008
00:57:51,800 --> 00:57:54,120
Speaker 1: has the wealth and connections to make that happen. It's

1009
00:57:54,200 --> 00:57:57,320
Speaker 1: normally impossible to a concealed handgun license in the city

1010
00:57:57,560 --> 00:58:00,280
Speaker 1: of New York. Very rich people in their body guards

1011
00:58:00,480 --> 00:58:03,280
Speaker 1: somehow wind up getting the few that are issued, and

1012
00:58:03,400 --> 00:58:05,560
Speaker 1: that is I find I don't find it frustrating when

1013
00:58:05,600 --> 00:58:08,840
Speaker 1: someone like Elizabeth Warren wants to uh institute into assault

1014
00:58:08,840 --> 00:58:11,200
Speaker 1: weapons ban. It's something I might disagree with, but I

1015
00:58:11,240 --> 00:58:13,800
Speaker 1: think it's genuinely held point. I think with a guy

1016
00:58:13,880 --> 00:58:16,840
Speaker 1: like Mike Bloomberg, he doesn't want there to be less

1017
00:58:16,920 --> 00:58:19,760
Speaker 1: guns because he's worried about gun crime. He wants to

1018
00:58:19,920 --> 00:58:22,640
Speaker 1: have access to those weapons for the people that protect

1019
00:58:22,720 --> 00:58:24,840
Speaker 1: him and his money, and he doesn't want anyone else

1020
00:58:24,920 --> 00:58:28,400
Speaker 1: to have them, and that does frustrate me. Yeah, you

1021
00:58:28,440 --> 00:58:32,160
Speaker 1: want to share a few things, just a few things. UM.

1022
00:58:32,760 --> 00:58:35,880
Speaker 1: We we've gone through his life and times and career

1023
00:58:35,960 --> 00:58:38,080
Speaker 1: and things, and we've gotten to the point where he

1024
00:58:38,200 --> 00:58:41,680
Speaker 1: decided to run for president. So we will briefly talk

1025
00:58:41,680 --> 00:58:43,840
Speaker 1: about this if we've talked about on the show before, UM,

1026
00:58:44,120 --> 00:58:47,760
Speaker 1: and just how his campaign is operating. One interesting thing

1027
00:58:48,080 --> 00:58:51,120
Speaker 1: is that he announced uh he wasn't going to run

1028
00:58:51,200 --> 00:58:54,000
Speaker 1: for president, and then he did about a month after

1029
00:58:54,120 --> 00:58:58,560
Speaker 1: Jeff Epstein died. Just throwing that up there. But um,

1030
00:58:59,160 --> 00:59:03,800
Speaker 1: last year Bloomberg had him killed. I'm not saying anything

1031
00:59:03,840 --> 00:59:09,920
Speaker 1: about my great friend Michael Bloomberg, who we support greatly. UM.

1032
00:59:10,200 --> 00:59:12,440
Speaker 1: He has actually said that he wouldn't run for president

1033
00:59:12,480 --> 00:59:14,439
Speaker 1: and that he didn't think he would win. I believe

1034
00:59:14,480 --> 00:59:18,400
Speaker 1: his earliest last year he said that he would have

1035
00:59:18,480 --> 00:59:20,480
Speaker 1: to change his views if he were to run. He

1036
00:59:20,520 --> 00:59:22,120
Speaker 1: said he would have to change if he would run

1037
00:59:22,160 --> 00:59:23,360
Speaker 1: as a Democrat, you have to change all of his

1038
00:59:23,480 --> 00:59:26,360
Speaker 1: views and go on an apology tour, um, which we're

1039
00:59:26,360 --> 00:59:28,480
Speaker 1: not really seeing. We're not really seeing that apology tour,

1040
00:59:28,600 --> 00:59:31,240
Speaker 1: Mike actually defending everything you've said and just saying like

1041
00:59:31,320 --> 00:59:33,960
Speaker 1: it was jokes. And I find that interesting. UM. I

1042
00:59:34,000 --> 00:59:37,600
Speaker 1: find it interesting that a few years ago he said

1043
00:59:37,680 --> 00:59:39,960
Speaker 1: on stage in front of cameras for people to hear,

1044
00:59:40,480 --> 00:59:44,720
Speaker 1: that Bernie Sanders would have won during the election. And

1045
00:59:45,560 --> 00:59:48,439
Speaker 1: this sort of brings me to the main point, which

1046
00:59:48,520 --> 00:59:52,120
Speaker 1: is that he has actually not running to become the president. He's,

1047
00:59:52,160 --> 00:59:54,520
Speaker 1: at this point, I think, spent more than half a

1048
00:59:54,640 --> 00:59:57,680
Speaker 1: billion dollars of his own money on this UM. He

1049
00:59:57,800 --> 01:00:01,000
Speaker 1: has pledged that he would give about a billion dollars

1050
01:00:01,080 --> 01:00:04,400
Speaker 1: to whoever is the Democratic nominee. UM he has rescinded

1051
01:00:04,440 --> 01:00:08,720
Speaker 1: that offer to Bernie Sanders for some reason. Interesting, It

1052
01:00:08,840 --> 01:00:12,440
Speaker 1: is interesting, isn't it. Yeah, so that is what is

1053
01:00:12,480 --> 01:00:16,040
Speaker 1: going on here, it seems because he doesn't really have

1054
01:00:16,120 --> 01:00:19,040
Speaker 1: a path to the nomination. He's actually currently speaking with

1055
01:00:19,640 --> 01:00:21,720
Speaker 1: super delegates and a lot of the d n C

1056
01:00:22,360 --> 01:00:25,720
Speaker 1: to try to game a brokered convention that that is

1057
01:00:25,800 --> 01:00:30,560
Speaker 1: his path to victory, it seems, and I think it's

1058
01:00:30,720 --> 01:00:34,040
Speaker 1: telling what he's doing. When he jumped into the race,

1059
01:00:34,760 --> 01:00:37,600
Speaker 1: nobody has voted for him yet, yet he still thinks

1060
01:00:37,680 --> 01:00:40,560
Speaker 1: he is the one to do it. He has arrived

1061
01:00:40,680 --> 01:00:43,800
Speaker 1: in the election claiming not only is he the only

1062
01:00:43,880 --> 01:00:46,640
Speaker 1: person that can beat Donald Trump, but the race is

1063
01:00:46,680 --> 01:00:50,440
Speaker 1: now between himself and Bernie Sanders, despite getting no votes,

1064
01:00:50,720 --> 01:00:54,400
Speaker 1: no votes, Mike none. And also like, yeah, it's just

1065
01:00:54,560 --> 01:00:58,280
Speaker 1: like let's let's pretend Joe Biden doesn't exist, like the

1066
01:00:58,360 --> 01:01:02,560
Speaker 1: Warren doesn't exist. These who have delegates the audacity of

1067
01:01:02,760 --> 01:01:05,400
Speaker 1: coming in and saying, I'm it's between me and Bernie,

1068
01:01:05,480 --> 01:01:07,840
Speaker 1: I'm the only one. Um. And I find it interesting,

1069
01:01:10,640 --> 01:01:14,680
Speaker 1: How dare you make me stand up for Joe bite unbelievable.

1070
01:01:14,880 --> 01:01:21,120
Speaker 1: I refuse, but I will because Bloomberg is here now. Unbelievable. Yeah,

1071
01:01:21,720 --> 01:01:24,280
Speaker 1: I think it's very telling all these things that have

1072
01:01:24,320 --> 01:01:26,600
Speaker 1: happened that led him to running UM and how he's

1073
01:01:26,600 --> 01:01:28,640
Speaker 1: definitely not going to get the nomination. He's just here

1074
01:01:28,720 --> 01:01:33,120
Speaker 1: to mess things up because his his pitch is very empty.

1075
01:01:33,400 --> 01:01:37,200
Speaker 1: His pitch is that he's independently wealthy, which I would

1076
01:01:37,280 --> 01:01:42,760
Speaker 1: argue actually disenfranchises people. Donations like these donations to campaigns

1077
01:01:42,840 --> 01:01:45,680
Speaker 1: is like one of the very few ways that people

1078
01:01:45,760 --> 01:01:48,960
Speaker 1: can actually exercise their political power UM and show their

1079
01:01:49,000 --> 01:01:51,480
Speaker 1: support for a candidate. And by removing that, he is

1080
01:01:51,520 --> 01:01:55,360
Speaker 1: removing UM democracy a bit by saying, I'll just fund

1081
01:01:55,400 --> 01:01:59,480
Speaker 1: the whole thing. And he's also saying that the only

1082
01:01:59,520 --> 01:02:02,240
Speaker 1: thing that is defeating Donald Trump. That's the thing. And

1083
01:02:02,280 --> 01:02:05,640
Speaker 1: I'm not saying that that's not important, but by saying that,

1084
01:02:06,040 --> 01:02:11,120
Speaker 1: he is excusing himself from actually having a platform. If

1085
01:02:11,200 --> 01:02:15,360
Speaker 1: you say, the debate stage, the only thing he's talking

1086
01:02:15,440 --> 01:02:18,120
Speaker 1: about is Trump. It's the only thing. And it makes

1087
01:02:18,200 --> 01:02:21,120
Speaker 1: him just draws the parallel that he's so much like Trump.

1088
01:02:21,880 --> 01:02:24,720
Speaker 1: It's so obvious. UM and never Trump has really drew

1089
01:02:24,800 --> 01:02:27,480
Speaker 1: over this sort of approach because they think that like, well,

1090
01:02:27,520 --> 01:02:29,640
Speaker 1: why aren't they going after Trump? Well, it's easy to

1091
01:02:29,640 --> 01:02:31,880
Speaker 1: go after Trump and it's the primary, come on, So

1092
01:02:32,320 --> 01:02:36,840
Speaker 1: he's offering nothing. And also he's framing this as though

1093
01:02:37,440 --> 01:02:40,800
Speaker 1: Trump is actually terrified of going up against me, citing no,

1094
01:02:40,960 --> 01:02:43,760
Speaker 1: there's no evidence for this. It's there's actually much more

1095
01:02:43,800 --> 01:02:46,080
Speaker 1: evidence that Trump is actually scared of going up against

1096
01:02:46,120 --> 01:02:48,920
Speaker 1: Bernie Sanders. But it's just it's sort of like this

1097
01:02:49,080 --> 01:02:51,960
Speaker 1: weird lie after lie after lie saying like, I'm running

1098
01:02:52,000 --> 01:02:53,880
Speaker 1: for this and this and this, and here's what, here's

1099
01:02:53,920 --> 01:02:56,920
Speaker 1: the situation. It's me or Bernie, folks, And it's so

1100
01:02:57,080 --> 01:03:01,040
Speaker 1: transparent what he is actually doing and what his goal

1101
01:03:01,200 --> 01:03:05,000
Speaker 1: is um and it's actually discussing how much money he's

1102
01:03:05,200 --> 01:03:07,160
Speaker 1: of his his own, that he's pouring into this in

1103
01:03:07,320 --> 01:03:11,479
Speaker 1: order to steal an election from people. Cody think about

1104
01:03:11,520 --> 01:03:13,600
Speaker 1: it this way. I think you're over emphasizing how much

1105
01:03:13,600 --> 01:03:16,600
Speaker 1: he spent he could With the money he spent running

1106
01:03:16,640 --> 01:03:20,000
Speaker 1: for president, he could barely have fixed Flint, Michigan's water

1107
01:03:20,160 --> 01:03:24,480
Speaker 1: problems nine or ten times barely, so probably could have

1108
01:03:24,560 --> 01:03:28,680
Speaker 1: covered those homeless people's rent at the homeless shelter. Just

1109
01:03:28,840 --> 01:03:34,360
Speaker 1: throwing that out there, Yeah, to this sort of point

1110
01:03:34,600 --> 01:03:37,840
Speaker 1: of why he's actually running, um, not to be president,

1111
01:03:38,760 --> 01:03:40,520
Speaker 1: which if you want he would be a bad president,

1112
01:03:40,880 --> 01:03:43,040
Speaker 1: you can all agree. But he's not running to be president.

1113
01:03:43,040 --> 01:03:46,320
Speaker 1: He's doing it to stop people. In a closed door

1114
01:03:46,440 --> 01:03:52,160
Speaker 1: event in June, Mike Bloomberg said that his presidential campaign

1115
01:03:52,200 --> 01:03:56,760
Speaker 1: platform would be to defend the banks. Uh. He joked

1116
01:03:56,760 --> 01:03:59,880
Speaker 1: about drowning his personal enemies something that. But that's the last,

1117
01:04:00,120 --> 01:04:02,880
Speaker 1: the last similarity between him and Trump. That's the last one. Um.

1118
01:04:02,960 --> 01:04:05,320
Speaker 1: He also called the progressive movement, and this is the

1119
01:04:05,360 --> 01:04:08,680
Speaker 1: more specifically scary. Jesus, the writing is on the wall

1120
01:04:08,720 --> 01:04:12,040
Speaker 1: for what he's doing. It was very obvious without this audio,

1121
01:04:12,640 --> 01:04:15,080
Speaker 1: but I think that speaks exactly to what's going on.

1122
01:04:15,560 --> 01:04:18,960
Speaker 1: I know I'm coming across probably as the heavily armed

1123
01:04:19,000 --> 01:04:23,160
Speaker 1: lunatic of the podcast, which I am, um, But when

1124
01:04:23,200 --> 01:04:26,640
Speaker 1: you've got a billionaire talking about the progressive movement to

1125
01:04:27,360 --> 01:04:31,000
Speaker 1: fix horrific wealth inequality and provide healthcare to people as scary,

1126
01:04:31,280 --> 01:04:34,000
Speaker 1: and also trying to take away those people's guns while

1127
01:04:34,160 --> 01:04:37,760
Speaker 1: arming a private militia essentially of his own to protect

1128
01:04:37,840 --> 01:04:40,720
Speaker 1: his own body and property, I don't I don't like that, Cody.

1129
01:04:41,120 --> 01:04:44,080
Speaker 1: I don't like that. I don't see the problem. Um.

1130
01:04:44,240 --> 01:04:46,479
Speaker 1: But then again, I wasn't listening to anything you said,

1131
01:04:46,880 --> 01:04:49,280
Speaker 1: so I probably agree with what you said. I'm just

1132
01:04:49,360 --> 01:04:52,000
Speaker 1: gonna cash my Mike Bloomberg check to buy something he

1133
01:04:52,080 --> 01:04:56,200
Speaker 1: doesn't think I should. Yes, absolutely no. Yeah, it's uh,

1134
01:04:56,280 --> 01:04:59,600
Speaker 1: it's gross that he's able to do this, and more

1135
01:04:59,640 --> 01:05:05,120
Speaker 1: people aren't disgusted openly disgusted about it. Um. I alluded

1136
01:05:05,360 --> 01:05:08,680
Speaker 1: to it earlier, but it's very interesting watching who gets

1137
01:05:08,720 --> 01:05:13,320
Speaker 1: on the Bloomberg train. Um, and it's like, um, it's

1138
01:05:13,360 --> 01:05:16,200
Speaker 1: like them train. Yeah, it's like that that chemical you

1139
01:05:16,280 --> 01:05:20,560
Speaker 1: put in pools to see uh there if there's urine

1140
01:05:20,560 --> 01:05:25,720
Speaker 1: in the pool, Like, uh no, there's like a chemical

1141
01:05:25,800 --> 01:05:27,920
Speaker 1: you can put in pools to to see P. I

1142
01:05:27,960 --> 01:05:29,760
Speaker 1: think that. I think I named it right. Did you

1143
01:05:29,800 --> 01:05:33,320
Speaker 1: say gonaihea? Yeah, that's what you put in swimming pools

1144
01:05:33,840 --> 01:05:37,160
Speaker 1: so that it cleans him makes the P. I think.

1145
01:05:37,200 --> 01:05:39,000
Speaker 1: You know, you gotta get a new pool guy. Man,

1146
01:05:39,880 --> 01:05:42,320
Speaker 1: I'm sorry. I mean a lot of people have been

1147
01:05:42,360 --> 01:05:44,880
Speaker 1: saying that, screaming that. Really a lot of people are

1148
01:05:44,880 --> 01:05:47,720
Speaker 1: screaming that at you, shouting that angrily. Yeah, get a

1149
01:05:47,800 --> 01:05:51,880
Speaker 1: new pool guy. Yeah, but yeah, the bloom Bloomberg is

1150
01:05:51,960 --> 01:05:55,160
Speaker 1: the p chemical for pools. I think in terms of

1151
01:05:55,240 --> 01:05:59,120
Speaker 1: like pundit pools, that's exactly Bloomberg is gonorrhea for pools,

1152
01:05:59,760 --> 01:06:04,840
Speaker 1: a statement endorsed financially by Mike Bloomberg. Sophie's Sophie's rolling

1153
01:06:04,920 --> 01:06:09,120
Speaker 1: in here with some motherfucking research like a goddamn champion

1154
01:06:09,440 --> 01:06:14,120
Speaker 1: Anaconda cobra tossing it to Sophie. That was unnecessary, I think,

1155
01:06:14,440 --> 01:06:17,440
Speaker 1: as people will probably know about this already, but because

1156
01:06:17,440 --> 01:06:19,120
Speaker 1: it was hinted at during one of the debates, but

1157
01:06:19,400 --> 01:06:22,440
Speaker 1: Bloomberg's campaign actually sent an internal memo to all the

1158
01:06:22,520 --> 01:06:27,200
Speaker 1: other candidates running for president telling them to stop running

1159
01:06:27,240 --> 01:06:30,640
Speaker 1: for president so that he could win, because there was

1160
01:06:30,680 --> 01:06:33,960
Speaker 1: no way Sanders could beat Donald Trump. And then the

1161
01:06:34,040 --> 01:06:36,440
Speaker 1: document goes on to point out the alleged weakness in

1162
01:06:36,480 --> 01:06:41,919
Speaker 1: each of Bloomberg's moderate competitors, before concluding if Biden, Buddha Judge,

1163
01:06:41,920 --> 01:06:43,800
Speaker 1: and Cloba Jar remain in the race, despite having no

1164
01:06:43,920 --> 01:06:46,720
Speaker 1: path to actually get the delegates on Super Tuesday and beyond,

1165
01:06:47,040 --> 01:06:51,440
Speaker 1: they propelled Sanders to a seemingly just it's literally just

1166
01:06:51,560 --> 01:06:54,800
Speaker 1: like saying that he's there's no way that Sanders is

1167
01:06:54,840 --> 01:06:58,440
Speaker 1: heally so yeahs to stop Standers campaign, to stop Sanders campaign.

1168
01:06:58,520 --> 01:07:00,960
Speaker 1: But also it's like, hey, I'm going to insult all

1169
01:07:01,040 --> 01:07:05,400
Speaker 1: of you, yeah, unders say that I'm the front runner

1170
01:07:05,440 --> 01:07:10,080
Speaker 1: actually and then insult everybody and mind you this yeah,

1171
01:07:10,200 --> 01:07:14,320
Speaker 1: mind this is before this is on February. So yeah,

1172
01:07:14,440 --> 01:07:19,040
Speaker 1: it's it's embarrassing and disgusting, um and very trumping weird. Um.

1173
01:07:19,200 --> 01:07:22,520
Speaker 1: It's the contrast between because we've also seen so much, um,

1174
01:07:23,240 --> 01:07:25,560
Speaker 1: Bernie's so such a Trump guy, it's very trump like

1175
01:07:25,640 --> 01:07:29,720
Speaker 1: Trump like behavior when bloom behavior like wanting to give

1176
01:07:29,760 --> 01:07:34,400
Speaker 1: everyone healthcare, ye, disgusting Trump and stuff, and Bloomberg is

1177
01:07:34,520 --> 01:07:37,920
Speaker 1: to a t what they're saying that Sanders is that

1178
01:07:38,120 --> 01:07:40,479
Speaker 1: is such a Trumpian thing to do, just like jump

1179
01:07:40,560 --> 01:07:43,480
Speaker 1: in like all that kind of stuff. The big difference

1180
01:07:43,520 --> 01:07:47,120
Speaker 1: between them is that Donald Trump is very comfortable um

1181
01:07:47,920 --> 01:07:52,280
Speaker 1: slightly messaging to a growing network of heavily armed militias

1182
01:07:52,320 --> 01:07:55,919
Speaker 1: around the country um to protect himself um, whereas Michael

1183
01:07:55,920 --> 01:07:59,760
Speaker 1: Bloomberg prefers to heavily armed police and private security companies

1184
01:08:00,000 --> 01:08:03,520
Speaker 1: in order to protect himself in his assets. And huge

1185
01:08:03,600 --> 01:08:06,840
Speaker 1: differences between those two things and their impact on regular people,

1186
01:08:07,040 --> 01:08:11,480
Speaker 1: massive differences. You very clearly laid out the differences. Um

1187
01:08:11,720 --> 01:08:16,880
Speaker 1: that I now see. Um, it's uh, it's really something. Um.

1188
01:08:17,760 --> 01:08:21,000
Speaker 1: He is also just this is very uh, this is

1189
01:08:21,120 --> 01:08:24,559
Speaker 1: very silly criticism. But he's come in to this race

1190
01:08:25,120 --> 01:08:29,200
Speaker 1: um to basically say, like Bernie's dangerous. Uh, he can't

1191
01:08:29,240 --> 01:08:32,679
Speaker 1: win against Trump despite evidence that he can. Um, it's

1192
01:08:32,760 --> 01:08:35,760
Speaker 1: my it's my campaign to win now. And also the

1193
01:08:35,840 --> 01:08:39,840
Speaker 1: Bernie bros Are just like the Maga folks. Um, he's

1194
01:08:39,960 --> 01:08:43,240
Speaker 1: really really leaned hard on every single talking point that

1195
01:08:43,400 --> 01:08:46,800
Speaker 1: never Trump Republicans have been planting the seeds for for years.

1196
01:08:47,400 --> 01:08:50,559
Speaker 1: It's very telling, I think, and that he has showed

1197
01:08:50,640 --> 01:08:52,360
Speaker 1: up and it's like that thing, that thing all that

1198
01:08:52,439 --> 01:08:55,800
Speaker 1: never Trumper said, it's that is my campaign. Um. His

1199
01:08:55,880 --> 01:09:00,200
Speaker 1: billboards saying that Trump eats bad steak, I eat steak cooked. Well,

1200
01:09:00,360 --> 01:09:04,920
Speaker 1: I'm a good billionaire. It's very disgusting. But who's better?

1201
01:09:05,479 --> 01:09:08,639
Speaker 1: I mean, Cody, Come on, Yeah, who can we trust

1202
01:09:08,720 --> 01:09:11,920
Speaker 1: more for advice on democratic politics than a bunch of

1203
01:09:12,000 --> 01:09:15,000
Speaker 1: guys who never voted for a Democrat until the choice

1204
01:09:15,120 --> 01:09:18,920
Speaker 1: was between a Democrat and a literal fascist. Mm hmm.

1205
01:09:19,680 --> 01:09:24,880
Speaker 1: Those seem like trustworthy people. Also, his ads are fucking horrible. Yes,

1206
01:09:25,680 --> 01:09:27,240
Speaker 1: we haven't said that yet, And I just think it's

1207
01:09:27,280 --> 01:09:29,320
Speaker 1: really necessary to point out there's one where there's like

1208
01:09:29,360 --> 01:09:34,240
Speaker 1: a boxing ring horrible. Yeah, it's embarrassing. Um, half a

1209
01:09:34,360 --> 01:09:37,200
Speaker 1: billion dollars on this stuff. Um. And then you see

1210
01:09:37,240 --> 01:09:39,639
Speaker 1: a lot of people like, oh, wow, Bloomberg going after Trump,

1211
01:09:39,720 --> 01:09:41,439
Speaker 1: this is what we need. We will go after Trump

1212
01:09:41,520 --> 01:09:44,439
Speaker 1: when there's a nominee on like this is a waste

1213
01:09:44,479 --> 01:09:46,800
Speaker 1: of time. Yeah, it's not. You know what, And you

1214
01:09:46,880 --> 01:09:50,240
Speaker 1: know what, We've all been going after Trump for almost

1215
01:09:50,360 --> 01:09:53,799
Speaker 1: four years now and it didn't stop him from doing anything.

1216
01:09:54,479 --> 01:09:57,840
Speaker 1: He's gotten to do the things, and people making fun

1217
01:09:57,920 --> 01:10:03,320
Speaker 1: of him and yelling at him didn't do anything. Maybe

1218
01:10:03,439 --> 01:10:06,160
Speaker 1: we should offer people something that will mobilize them and

1219
01:10:06,320 --> 01:10:09,439
Speaker 1: energize them as an alternative to Trump, as opposed to

1220
01:10:09,520 --> 01:10:12,320
Speaker 1: saying vote for me. I'm like Trump, but I'm less rude.

1221
01:10:13,120 --> 01:10:15,680
Speaker 1: That's what he is. He's slightly less rude publicly, and

1222
01:10:15,760 --> 01:10:17,880
Speaker 1: he's a little more and he's a little more competent.

1223
01:10:18,000 --> 01:10:21,240
Speaker 1: That's another thing about Bloomberg that is like, oh, you're

1224
01:10:21,479 --> 01:10:24,519
Speaker 1: a little more competent and you're a little more civil

1225
01:10:24,760 --> 01:10:28,840
Speaker 1: on the surface, so people will accept you more. Um,

1226
01:10:28,920 --> 01:10:33,320
Speaker 1: you're more esthetically acceptable. But they're the same kind of person. Um,

1227
01:10:33,400 --> 01:10:35,639
Speaker 1: there's a reason there's so many of them playing golf together.

1228
01:10:35,840 --> 01:10:38,320
Speaker 1: Don't forget about that beautiful song he sang at that

1229
01:10:38,439 --> 01:10:41,320
Speaker 1: charity event. Oh yeah. Also, I love that he came

1230
01:10:41,360 --> 01:10:44,439
Speaker 1: out with a big look at all the vandalism that

1231
01:10:44,479 --> 01:10:47,160
Speaker 1: the Bernie bros. Are doing to our offices. First of all,

1232
01:10:47,680 --> 01:10:50,599
Speaker 1: uh I questioned whether or not it's accurate at all,

1233
01:10:51,080 --> 01:10:54,679
Speaker 1: but so many of those pictures were of posters left

1234
01:10:54,720 --> 01:10:58,599
Speaker 1: outside and it's being presented as this vandalism, and it's again,

1235
01:10:58,640 --> 01:11:01,040
Speaker 1: it's just all these sort of right wing talking points

1236
01:11:01,160 --> 01:11:03,360
Speaker 1: that have bubbled to the surface that people like Buddha

1237
01:11:03,439 --> 01:11:06,120
Speaker 1: Jedge have latched onto. Now that Bloomberg came even though

1238
01:11:06,240 --> 01:11:10,479
Speaker 1: I'm good to Jedd dropped out today, So good for him. Yep,

1239
01:11:11,640 --> 01:11:16,560
Speaker 1: it's a good time to be an American. It's a

1240
01:11:16,680 --> 01:11:19,400
Speaker 1: conclusion we've made, and it's good to be an American

1241
01:11:19,600 --> 01:11:30,760
Speaker 1: because of Michael Fitzgerald, Scott Thomas, Elizabeth Bloomberg. I want

1242
01:11:30,760 --> 01:11:34,799
Speaker 1: to note that our sponsor today, Michael Bloomberg's official stance

1243
01:11:35,000 --> 01:11:38,240
Speaker 1: on the jfk assassination is that whether or not Bernie

1244
01:11:38,360 --> 01:11:44,680
Speaker 1: did it. It's not a big deal. Oh yeah, no, forgiven, Yeah, accepted, forgiven,

1245
01:11:44,760 --> 01:11:48,479
Speaker 1: water under the bridge, Bernie, wa, don't of the thank

1246
01:11:48,560 --> 01:11:52,360
Speaker 1: you for taking the most progressive stance on Bernard Sanders

1247
01:11:52,560 --> 01:11:57,760
Speaker 1: assassination of John Fitzgerald Kennedy, Michael Bloomberg, unbelievable things. And

1248
01:11:57,800 --> 01:12:00,160
Speaker 1: then we probably put in the end there, wait more,

1249
01:12:00,760 --> 01:12:04,639
Speaker 1: I will say right before Super Tuesday, so we'll see. Um.

1250
01:12:05,240 --> 01:12:08,240
Speaker 1: I think it's interesting that Bloomberg thinks he's stopping Bernie

1251
01:12:08,280 --> 01:12:10,160
Speaker 1: when actually he's siphening off a lot of support for

1252
01:12:10,280 --> 01:12:13,320
Speaker 1: Joe Biden and the only person that is the real

1253
01:12:13,479 --> 01:12:16,160
Speaker 1: alternative to Burn literally running the same exact adds as

1254
01:12:16,200 --> 01:12:19,400
Speaker 1: Biden with like oh look, Obama's my friend. Yeah, it's interesting.

1255
01:12:19,880 --> 01:12:21,960
Speaker 1: It'll be interesting to see how that plays out when

1256
01:12:22,040 --> 01:12:25,519
Speaker 1: people are finally able to vote for Bloomberg. Yeah, hasn't

1257
01:12:25,520 --> 01:12:29,800
Speaker 1: got a single vote yet. Well well, okay, that about

1258
01:12:29,840 --> 01:12:32,320
Speaker 1: does it for us today. Thank you so much for listening.

1259
01:12:32,439 --> 01:12:35,559
Speaker 1: You can check us out online at worst your pot

1260
01:12:35,680 --> 01:12:40,200
Speaker 1: on the Twitter and the Instagram's merchant stuff um, and

1261
01:12:40,320 --> 01:12:42,719
Speaker 1: you can you can also find us on your phone

1262
01:12:42,800 --> 01:12:46,160
Speaker 1: by just texting Mike Bloomberg to any number, any number

1263
01:12:46,200 --> 01:12:48,760
Speaker 1: at all. You just start, just start texting it, and

1264
01:12:48,880 --> 01:12:52,400
Speaker 1: don't say anything else, don't type anything else. Just repeatedly

1265
01:12:52,560 --> 01:12:56,160
Speaker 1: type the words Mike Bloomberg and randomly text them to

1266
01:12:56,320 --> 01:13:00,200
Speaker 1: everybody in your phone for hours. Everyone. Just do at

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Speaker 1: It's a great idea. Spend your time downsides and spend

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Speaker 1: your time doing that, and we'll have a special superducer

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Speaker 1: episode this week. We will have We will be back

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Speaker 1: the next day. After year. We will be back thanks

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Speaker 1: to the support of Mike Bloomberg, who funded this episode

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Speaker 1: and endorses everything we've said in it. He made it.

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Speaker 1: He made this appen as well everything everything get Worst

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Speaker 1: Year Ever is a production of I heart Radio. For

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Speaker 1: more podcasts from my heart Radio, visit the i heart

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Speaker 1: Radio app, Apple Podcasts, or wherever you listen to your

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Speaker 1: favorite shows.