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

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Speaker 1: Radio Together Everything, So don't don't. Oh my goodness, it's

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Speaker 1: the start of the episode. We are holy shit, the

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Speaker 1: co host of Worst Year Ever. My name is Cody Johnston.

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Speaker 1: I'm Katie Stoll. We have a third one. His name

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Speaker 1: is We Do Michael, as we Do Bloomberg. Congratulations on

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Speaker 1: your big win in American Sam feel really good. I

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Speaker 1: have taken on the name of my hero. Uh, much

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Speaker 1: like Robert Paulson in The Fight Club. We're all Michael

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Speaker 1: Bloomberg today. I am Michael Bloomberg. I am Michael Bloomberg. Now,

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Speaker 1: I'm Michael Bloomberg. Congratulations to all three of us for

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Speaker 1: our big wins. Um. We are here today to talk

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Speaker 1: about what happened last night. Last night being Tuesday, Tuesday

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Speaker 1: being Super Tuesday, not Taco Tuesday. Although you might have

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Speaker 1: had tacos on Super Tuesday, I didn't. I asked Sophie

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Speaker 1: for some, but she didn't let me have them anyway, Joky.

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Speaker 1: She just looked so mad at me. I didn't want tacos.

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Speaker 1: I wanted the salad that I ended up with. She

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Speaker 1: was right, she was right, she said, we don't know

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Speaker 1: when we're going to eat these and tacos don't hold

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Speaker 1: up well. And she was right. I was just trying

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Speaker 1: to be cute and now she's not at me, and

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Speaker 1: I really wish I hadn't said anything eating people. It's

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Speaker 1: how she expressed love, and I felt the love. I

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Speaker 1: didn't be. Learned us one thing from this career, Katie,

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Speaker 1: It's that having Sophie be frustrated at you is like

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Speaker 1: soul fuel. It is the only thing that keeps me going.

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Speaker 1: I've let my mom done a lot too, so um,

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Speaker 1: but uh, look, last night was sobering. Are a lot

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Speaker 1: of Are you sure? Because I'm pretty sure I got drunk, yeah,

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Speaker 1: and wasted, but then you woke up filling extra hungover. Maybe. Um,

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Speaker 1: it wasn't great. It certainly isn't the rest, But we're

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Speaker 1: going to talk about it. We're going to talk about

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Speaker 1: what happened leading up to last night and how that

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Speaker 1: changed things. We're going to talk about We're going to

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Speaker 1: debate some things, I'm sure, and we're going to talk

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Speaker 1: about some ways to move forward and and ways to

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Speaker 1: have hope and things to focus on. So it's gonna

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Speaker 1: be good. I want to start by kind of you know,

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Speaker 1: being a little bit of a dick because I think

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Speaker 1: that UM, we all got very excited by the early

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Speaker 1: success of Bernard Sanders and the fact that there was not,

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Speaker 1: you know, in Hillary was kind of the clear front

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Speaker 1: runner from the beginning. UM, and Sanders was always seen

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Speaker 1: like I had a lot of hope for Sanders in

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Speaker 1: that election, but it was not like it was with

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Speaker 1: this one, where like Sanders open up kind of ahead

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Speaker 1: of the pack, and it bred what I think is

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Speaker 1: a rational exuberance. And I do think there has been

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Speaker 1: a tendency. I noticed it a lot in twenty six two.

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Speaker 1: UM all the factory that the d n C did

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Speaker 1: in the super delegates and stuff. UM leads a lot

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Speaker 1: of people on the left too, I think inaccurately, UM

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Speaker 1: frame what's happening as these are like Hillary Clinton or

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Speaker 1: or Joe Biden are are candidates with no real support,

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Speaker 1: without significant amounts of support, and they they need institutional

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Speaker 1: factory in order to to have any chance of winning

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Speaker 1: the nomination because it's got to be fraud basically, because

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Speaker 1: no one wants to vote for these people and it's

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Speaker 1: just not true. Not UM, we can A lot of

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Speaker 1: fusory does go on and has been has gone on

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Speaker 1: in this election against Sanders and four Biden and the

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Speaker 1: last election against Sanders and for Clinton. But both Hillary

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Speaker 1: Clinton and Joe Biden have huge amounts of support within

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Speaker 1: the Democratic Party. Um, it's not fake, it's not astroturft,

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Speaker 1: and it's people. You may disagree with the decisions they're making,

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Speaker 1: but it's not all party elites and stuff too. And

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Speaker 1: it's a huge mistake to just write everything off as that, uh,

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Speaker 1: as as satisfying as it might feel to put all

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Speaker 1: the blame onto that. And it's not to say that

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Speaker 1: there aren't elements of things that come into play, but

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Speaker 1: there are much larger elements that are coming into play

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Speaker 1: that we should talk about. Um. Leading into last night,

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Speaker 1: nobody thought Biden was going to do well, you know,

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Speaker 1: South Carolina. They expected him to take but maybe not

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Speaker 1: as um, you know, not such a resounding victory. But

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Speaker 1: that changed things. And and so why is that? Why

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Speaker 1: did so many undecided voters get swayed at the last

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Speaker 1: minute for Biden? Of course there are the enforcements that

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Speaker 1: came through. UM. Yeah, okay, sorry, I want to note

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Speaker 1: real quick, Katie that that when you say, like so

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Speaker 1: many people swung at the last minute. Um. One of

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Speaker 1: the things that has been found in sort of like

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Speaker 1: the early research that's happened in to Super Tuesday is

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Speaker 1: that Biden's lead was largely secured by what are called

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Speaker 1: last minute voters. So he had an overwhelming chunk of

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Speaker 1: people who basically made the decision of who to vote

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Speaker 1: for within a day or two of the election. Like

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Speaker 1: those people went overwhelmingly for Joe Biden. Um. And yeah,

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Speaker 1: that's like document, Like we have a lot of evidence

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Speaker 1: on those facts, and that's and there's a lot of

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Speaker 1: different reasons why. Um. Okay. So yes, there are the

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Speaker 1: endorsements which were very frustrating from from Pete, from Beato,

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Speaker 1: and from a series of dropout endorsement right the day

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Speaker 1: before Super Tuesday, which is wild because they already had

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Speaker 1: votes coming in for them, you know, from from early voters.

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Speaker 1: They're on the ballots. That is the most nefarious feeling

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Speaker 1: part of it. Uh. Cody called it a manipulation of

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Speaker 1: earlier today. It's a little bit of a job. Um.

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Speaker 1: But like you know, they endorse him. I'm not surprised

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Speaker 1: that Pete and Amy endorsed Biden, even though you're right,

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Speaker 1: it is so hypocritical. I'm not surprised that Pete and

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Speaker 1: Amy didn't. Necessarily, the thing that most disappointed me was

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Speaker 1: Betto because I don't buy it. Um. My favorite thing

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Speaker 1: yesterday was Katie referring to Betto escaped what skater skater boy? Yeah,

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Speaker 1: I couldn't remember his name. I called him skater boy.

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Speaker 1: Because even with Betto, uh, even if he doesn't like

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Speaker 1: Sanders and is like scared of him or whatever, if

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Speaker 1: he believes the things that he says, he believes a

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Speaker 1: wide range of topics, he would have endorsed Elizabeth Warren

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Speaker 1: if anybody. I mean, it's it's really fucking clear what

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Speaker 1: Beto got, and it's he got the chance to be

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Speaker 1: the fucking gun violence are right. That was announced very quickly,

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Speaker 1: Like that's the clearest. Like some of these it's sort

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Speaker 1: of like we're wondering, what did these people? What were

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Speaker 1: they promised in exchange for doing this? I think it's

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Speaker 1: pretty clear with Beto. Um. The other factor that needs

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Speaker 1: to be taken into consideration is just how much sway

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Speaker 1: Obama has. Uh. So many people voted for Biden because like,

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Speaker 1: like just watching the coverage last night, you you hear

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Speaker 1: reporters talking to people and it's like, well, what made

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Speaker 1: you vote for Biden? It's like, well, I want Obama, Like,

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Speaker 1: or who do you want for president? I want Obama?

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Speaker 1: Biden has that. Yeah, that's what I mean. That's what

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Speaker 1: people used to say about Pete. They're like, I like,

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Speaker 1: i want Obama again. Biden's too old. I'm going to

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Speaker 1: go to Pete. There was that sort of and Biden

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Speaker 1: has looked old through this whole process. He's been blubbering

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Speaker 1: on stage and forgetting the words the Declaration of Independence,

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Speaker 1: you know, I mean even Corey Booker alluded to, like

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Speaker 1: sometimes Joe talks and we're like, what we all we

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Speaker 1: all see the writing on the wall with that, Um,

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Speaker 1: it's alarment. But but then he had this really big

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Speaker 1: hall and he delivered um an objectively great speech on

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Speaker 1: Saturday night after South Carolina, a speech that tapped into

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Speaker 1: something that he hadn't tapped into prior on the on

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Speaker 1: the campaign trail, which would be his own stories of

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Speaker 1: loss and and and tying that into a narrative, narrative

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Speaker 1: that is compelling and people can relate to. And all

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Speaker 1: of a sudden people were really quick to jump to him.

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Speaker 1: Undecided people, people that were for Bernie before, because you

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Speaker 1: look at the polling and so many of these states

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Speaker 1: where Bernie was ahead and was projected to be the winner.

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Speaker 1: So I think it's really important that we talked about that,

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Speaker 1: and we can talk. We will definitely talk about Elizabeth

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Speaker 1: Warren and in the role she played in it. But

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Speaker 1: I would like to start with a conversation with you

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Speaker 1: guys about why you think people that were maybe going

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Speaker 1: to go for Bernie were so quick to jump to

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Speaker 1: Biden when he started to look strong. Yeah, I mean,

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Speaker 1: like you you said, I said the word of manipulation,

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Speaker 1: and I did. I don't think that's entirely what I mean,

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Speaker 1: but like there was a huge push to an electable

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Speaker 1: person a lot of people in the party, uh, the

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Speaker 1: day before the election, Um, and you have these undecided people.

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Speaker 1: These people are like, Okay, well I want to beat

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Speaker 1: Trump and I want the person that people are going

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Speaker 1: to go for. Let Yeah, it's the big thing people

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Speaker 1: are concerned about right now, right um, and especially I

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Speaker 1: think in the kind of people who are going to

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Speaker 1: vote in a primary election are going to be more

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Speaker 1: politically engaged than the general population, and that also means

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Speaker 1: they're probably the kind of people who are more likely

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Speaker 1: to be scared about Trump. Um. And if if you

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Speaker 1: are voting, if your primary motivator is like I just

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Speaker 1: want anyone who can beat this guy. Um, I get

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Speaker 1: why you would make the count. I think it's the

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Speaker 1: wrong calculus, but I get why you would calculate that

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Speaker 1: Joe Biden is the safe bet. And I do think

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Speaker 1: that happened with a lot of these last minutes. Yeah. Absolutely,

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Speaker 1: there's also a lot of because also a lot of

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Speaker 1: the main narrative around it is that Trump actually wants

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Speaker 1: to go up against Bernie and the the idea that

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Speaker 1: he's like scared of Joe Biden, and I think I

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Speaker 1: think is true. I think is true too. But like

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Speaker 1: the prevailing narrative amongst like a lot of like never

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Speaker 1: Trumper's establishment Democrats and in people who are on TV

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Speaker 1: talk about that. Sure, absolutely, and the media has a

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Speaker 1: huge role in how this has played out and why

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Speaker 1: people were maybe not so certain about Bernie. Also, go ahead, well,

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Speaker 1: just I'm gonna take a conversation in a different direction, okay, Um,

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Speaker 1: Because another I think I mean upsetting kind of is

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Speaker 1: that a lot of the people who have voted, um,

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Speaker 1: super Tuesday and some of South Carolina. Their main issue

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Speaker 1: was healthcare, UM, and they seemed to overwhelmingly support Medicare

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Speaker 1: for all, but they still voted for Joe Biden. They

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Speaker 1: thought that he supported that policy, they thought that he

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Speaker 1: was for medicare for all. How did they think a right?

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Speaker 1: I don't know. I don't know that that's true. That's

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Speaker 1: what I mean. I know that there's a plurality of

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Speaker 1: people in states wanting medicare for all. I don't know

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Speaker 1: that by and large, the Alectorate just made a mistake

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Speaker 1: on what his positions are. I think it has to

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Speaker 1: do with not being confident in Bernie Sanders completely. That's

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Speaker 1: my editorializing. That's what I'm seeing here, and I don't

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Speaker 1: and I think it's important for us to take some

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Speaker 1: self reflection here. I again, I said, we'll get to

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Speaker 1: Elizabeth Warren. Most of you guys probably know from Twitter

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Speaker 1: and our conversations that I've I've loved yes and Um,

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Speaker 1: I decided to vote for Bernie, and it was a

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Speaker 1: hard decision for me. I really it hurt because I

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Speaker 1: wanted to vote for this badass woman that I think

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Speaker 1: is so qualified and would be great at the job. Um,

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Speaker 1: and my goodbye to my mentions for saying that. Uh.

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Speaker 1: But I'm proud to have voted for Bernie in California

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Speaker 1: because the thing is is, like I've always said, I

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Speaker 1: like them both. I care about what what they stand

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Speaker 1: for and what they're fighting for, and so my my,

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Speaker 1: that's my allegiance, is to fighting for that. So I'm

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Speaker 1: proud to have voted for Bernie. As I started talking

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Speaker 1: about that with people, uh, people who are liberals and

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Speaker 1: who I know, you know, maybe I don't talk about

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Speaker 1: politics not much. I was astounded yesterday by the amount

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Speaker 1: of women who were like, yeah, me too. I don't

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Speaker 1: think Elizabeth will win and that's a bummer. So I'm

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Speaker 1: going to vote for Biden. And at first I thought

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Speaker 1: this was just anecdotal, but I am seeing that across

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Speaker 1: the board with people, uh, not across the board. That's

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Speaker 1: an over stating it. But you know, you can't miss

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Speaker 1: that online right now, this conversation about what um, the

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Speaker 1: people that vote for Elizabeth, whether they would or would

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Speaker 1: not go to Bernie UM. And when I press people

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Speaker 1: to talk about why it is because they are so

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Speaker 1: off put by a lot of the conversations that they've

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Speaker 1: had with really intense Bernie supporters that they are terrified

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Speaker 1: of it. Like these people that are like so convicted

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Speaker 1: with their their fervor that everybody else who doesn't agree

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Speaker 1: with them there's scum. You know you don't agree with me,

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Speaker 1: well you want people to die? That's fucked up. And

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Speaker 1: you know that's not true. You're you're putting it in

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Speaker 1: a way that's really unfair and it's alienating. And you

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Speaker 1: can say that we'll fuck them if if you know,

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Speaker 1: some mean person is the reason why they're not voting

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Speaker 1: for Bernie. I agree with that, that's true. I agree, Like,

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Speaker 1: look at me, I've been attacked for months now and

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Speaker 1: I'm still as Bernie supporter, you know, for having my

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Speaker 1: dual allegiances here. I agree, But that doesn't change the

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Speaker 1: fact that is a very real phenomenon and it's a

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Speaker 1: very real reaction that people have, and I think that

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Speaker 1: that does play into at least an element of why

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Speaker 1: some people are um nervous to go to Bernie. And again,

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Speaker 1: r I p my mentions for saying this, but I

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Speaker 1: do feel like it plays a factor in this thoughts. Um,

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Speaker 1: I guess my thoughts are before we move I start

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Speaker 1: talking about that other thing. My thoughts are specifically on this.

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Speaker 1: I think I still feel like a lot of that

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Speaker 1: issue has to do with, um, the way fandom works

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Speaker 1: on the internet. Um yeah, And I think that is

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Speaker 1: the bulk of what people are noticing when they talk

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Speaker 1: about which isn't to say stuff doesn't happen in person,

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Speaker 1: but like it does happen in press. Yeah, it absolutely does. Um. Like.

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Speaker 1: One of the things that's frustrated to me is like

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Speaker 1: I'm seeing there was there was like some MSNBC and

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Speaker 1: NBC journalists tweeting about um getting you know, somebody at

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Speaker 1: a Bernie rally, uh, like making comments about how the

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Speaker 1: media wasn't treating Bernie fairly and then comparing them to

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Speaker 1: like Trump rallies and being like, you know, it's not

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Speaker 1: that bad, but it's it seems like it's heading in

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Speaker 1: that direction. And I it's like, you know, I I

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Speaker 1: think that is probably taking a little bit far. Absolutely,

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Speaker 1: for example, Bernie hasn't endorsed physically assaulting journalists. It's completely unfair. Also,

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Speaker 1: I mean, Trump calls things fake news when people tell

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Speaker 1: the truth about Yeah. Yeah, I I sorry, I to

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Speaker 1: jump in. I know I'm talking a lot right now.

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Speaker 1: I want to make it clear I agree with you.

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Speaker 1: I think there is a huge mischaracterization of Bernie Sanders

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Speaker 1: comparing him to Trump. And that's again something that I've

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Speaker 1: heard so much from people that uh, just our liberal

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Speaker 1: vot voters here saying like it scares me because he's

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Speaker 1: so much like Trump. And that is a narrative that

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Speaker 1: the media has pushed and and and and all of

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Speaker 1: it because for a lot of people, politics is mostly

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Speaker 1: aesthetically um And that's I think a lot of what's

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Speaker 1: going absolutely and I also get it. I mentioned this

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Speaker 1: last night talking to you guys. It's something that I

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Speaker 1: hurt someone. I don't want to take credit for what

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Speaker 1: I'm about to have heard, it said, um In. While

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Speaker 1: a lot of this anger was still there and part

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Speaker 1: of the movement with Bernie Sanders, it was more seeped

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Speaker 1: in hope. His message was hopeful, feeling. And four years later,

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Speaker 1: we're all tired and we're angry, and now it feels angry.

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Speaker 1: And I understand that because I'm angry. But when we

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Speaker 1: lead with that, it can be alienating. Um And and

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Speaker 1: I think that's a big difference. And of course, and

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Speaker 1: I also know, uh, for all the ugliness that I've

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Speaker 1: received online from Bernie supporters for liking Warren. I know

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Speaker 1: that it exists elsewhere as well. You know, there's just

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Speaker 1: so much love in the movement that I think doesn't translate,

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Speaker 1: doesn't translate, And I think the media does have a

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Speaker 1: lot to do with that. What we're what we're talking about,

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Speaker 1: and how it's presented. Um. I look at so many

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Speaker 1: moments from rallies that he has that is all about positivity,

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Speaker 1: and I don't disagree that that needs to rise to

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Speaker 1: the top more. But also the someone that is frustrating

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Speaker 1: seeing people like complaining about the anger and like all

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Speaker 1: the incivility and all this sort of stuff, when for

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Speaker 1: the past three years we've been angry and uncivil and

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Speaker 1: been calling for it like, no, we it's time to

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Speaker 1: be angry, it's time to be uncivil and and that

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Speaker 1: sort of attitude. But then as soon as it's sort

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Speaker 1: of in oh, an uncomfortable world, then it's like, well,

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Speaker 1: now you're being too mean to me. Yeah, I hear that, um,

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Speaker 1: and I agree with that. I think it's all complicated,

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Speaker 1: and unfortunately, every time a Bernie supporter myself included, I'm

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Speaker 1: a Bernie supporter, Um, I don't mean to be say

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Speaker 1: making this about you all. You know, Nie, I'm a

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Speaker 1: Bernie bro Bernie bro. Uh. It's reinforces the narrative. I've

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Speaker 1: said that before and it's hard. It's hard to rise

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Speaker 1: to it. You're angry. Things feel really important there too.

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Speaker 1: I think for a campaign that's built around empathy and love,

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Speaker 1: I think that there's a decided lack of empathy and

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Speaker 1: love for people that might disagree with you on some points,

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Speaker 1: and the immediate jumping to characterizing them as evil. It's

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Speaker 1: not it's not working, guys. I understand the emotion, but

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Speaker 1: it is part of it. It's and now we spent

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Speaker 1: a lot of time talking about this. I don't think

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Speaker 1: it's the only online and like I think people are

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Speaker 1: actually on Twitter. Sure, but you know, and I just

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Speaker 1: responded to someone with this, and this is anecdotal evidence.

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Speaker 1: I'm not going to pretend like I know for sure

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Speaker 1: that people across the board who didn't vote for Bernie

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Speaker 1: feel this way. But the people that I've talked to

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Speaker 1: you are not online. There are people that do not

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Speaker 1: have Twitters, do not engage in Twitter, and they are

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Speaker 1: feeling what I'm telling you, and and probably a lot

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Speaker 1: of them. I don't I don't think that they're tuned

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Speaker 1: into the cable news cycle. They're talking to people, they're

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Speaker 1: having their experiences, they're having their own interactions with people

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Speaker 1: face to face, So I don't. You know, again, that's anecdotal.

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Speaker 1: So and I do think that leads into what I

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Speaker 1: was wanting to talk about, which is kind of the

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Speaker 1: fact that just sort of the nature that that we

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Speaker 1: are the extremely online people we are, UM, and that

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Speaker 1: most of our listeners all are as well, UM means

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Speaker 1: ignoring a lot of folks for whom even like this,

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Speaker 1: this discussion about like Bernie Brows and stuff hasn't had

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Speaker 1: a big impact on why they voted the way they

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Speaker 1: voted or why they think the way they think. UM.

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Speaker 1: I came across a really interesting conversation on Twitter between

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Speaker 1: a couple of different sort of black political activists including

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Speaker 1: a Brittany Packet Cunningham at miss p A c K

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Speaker 1: y E T t I UM on Twitter and she's

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Speaker 1: with pod Save of the People and a contributed NBC

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Speaker 1: News and in NBC UM. And it was essentially people

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Speaker 1: just like some black folks discussing who are like frustrated

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Speaker 1: that Biden had done so well, UM, like, kind of

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Speaker 1: historically well among black voters in on Super Tuesday and wondering, like,

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Speaker 1: do we not like do members of our community not

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Speaker 1: like support Medicare for all and the other things Bernie

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Speaker 1: stands for. Um And at one point Brittany came in

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Speaker 1: and said, Um, a lot of black folks believe in

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Speaker 1: those policies and support Bernie and or Warren. To be honest,

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Speaker 1: if some of those policies came packaged differently and a

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Speaker 1: man and a man who had deeper relationships with black folks,

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Speaker 1: they might be doing better with black voters this year. Uh.

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Speaker 1: And another Twitter user responded to that a deeper relationship

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Speaker 1: to black folks. He's been fighting for social justice, especially

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Speaker 1: for black folks, since the sixties. He was there for

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Speaker 1: mlk's I Have a Dream speech. He's fighting for healthcare

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Speaker 1: for all, in education for all. What has Biden done

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Speaker 1: besides stand beside Obama? Um and another person responded, there

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Speaker 1: are a number of responses to this that I find

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Speaker 1: actually really interesting and really valuable for people to hear.

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Speaker 1: One of the response was people were there for the

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Speaker 1: I Have a Dream speech, including thirteen year old me

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Speaker 1: then Bernie went off to the north like many white

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Speaker 1: leftists did, while those committed to the struggle went south.

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Speaker 1: These are just facts, not a judgment. But let's tell

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Speaker 1: the truth. And this was also quoted by Brittany Cunningham

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Speaker 1: and she noted this above the quote, I don't know

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Speaker 1: what it's going to take for folks who get that

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Speaker 1: this line will not and has never worked. He got

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Speaker 1: booed at she the people for reminding people of his

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Speaker 1: activist background. Folks care about the decades since then, Biden

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Speaker 1: has the relationships lover hate him. They matter, and do

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Speaker 1: not underestimate what it means to some black folks that

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Speaker 1: Joe had has barocks back and didn't embarrass him. Happily

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Speaker 1: playing number two to a black man isn't something we've

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Speaker 1: witnessed a lot of white men do. You can dismiss

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Speaker 1: that as worthless if you want, but you won't win

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Speaker 1: that way. So important, so important point. It's a huge point.

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Speaker 1: Um Yeah, yeah. I I don't want to make it

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Speaker 1: seem like I think what I was just saying is

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Speaker 1: an outsized element. I just think it's element. Um. Yeah,

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Speaker 1: And this is another one that is really important. What

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Speaker 1: else is an element? Products, the element that really matters

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Speaker 1: get together everything. So don't don't don't. Oh my god,

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Speaker 1: we are back. Wait, we're back. Do you want to

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Speaker 1: talk about something positive? You guys, not yet. I want to.

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Speaker 1: I want to talk about how happy I am. Uh

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Speaker 1: that are our good friend Michael Bloomberg has decided to

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Speaker 1: go to a lovely farm up state. R I p Bloomberg's. Um,

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Speaker 1: we'll miss your ac so much. I'll miss that money. Um. Yeah,

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Speaker 1: that's a positive thing. I do want to talk about

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Speaker 1: some other stuff before we get to to to some

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Speaker 1: of my mother positive takeaways that I want to leave

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Speaker 1: you with. But yeah, yeah, Bloomberg has done and you

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Speaker 1: know what, grateful for the role that he played. Turns out,

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Speaker 1: because he did run cover for US um by taking

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Speaker 1: votes from Biden. Um. And you know, good on him

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Speaker 1: for winning America Samoa yeah, yes five. Sorry delegate, he

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Speaker 1: didn't even get This is one of those things in

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Speaker 1: terms of like regrets that I have about this election.

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Speaker 1: I'm bummed that we missed c pack, which which is

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Speaker 1: was was frustrating and outside of our control. I'm really

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Speaker 1: bummed and I didn't think about the forehand that we

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Speaker 1: didn't go to American Samoa because I'm curious about what

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Speaker 1: what the political ad ecosystem was, like, what were people

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Speaker 1: actually seeing. One of the things that was pointed out

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Speaker 1: to me today in a conversation with another journalist is

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Speaker 1: that American Samoa was also heavily targeted by Russian disinformation

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Speaker 1: in the two thousand sixteen election. Um. And I don't

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Speaker 1: know why. I've never actually heard a good theme pivotal votes. Yeah,

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Speaker 1: I'm just I'm really curious as to what's going on

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Speaker 1: over there, and I know very little about There's Also,

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Speaker 1: it's a caucus, so like those are passionate people who

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Speaker 1: like stuck around and like really like like right, it's

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Speaker 1: like all right, kind of blast ads there so he

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Speaker 1: can have at least one win. I yeah, I do think. Um,

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Speaker 1: it is nice to acknowledge what a beautiful piece of

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Speaker 1: art it was the past couple of months of Michael

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Speaker 1: Bloomberg appearing during this spending six secific political climate and

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Speaker 1: spending five million dollars of his own money, uh, and

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Speaker 1: just tanking so spectacul Just it is beautiful. Um, It's

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Speaker 1: I think a positive, hopeful thing that it didn't work.

426
00:24:51,119 --> 00:24:53,040
Speaker 1: It could have, you know, maybe it could have worked.

427
00:24:53,200 --> 00:24:56,840
Speaker 1: Maybe it's a different person, Um different Yeah, just different

428
00:24:56,960 --> 00:24:59,760
Speaker 1: pieces on the on the table. But um, I think

429
00:24:59,760 --> 00:25:03,439
Speaker 1: it's it's really great that it did not work, and

430
00:25:03,480 --> 00:25:07,719
Speaker 1: it's really funny that it didn't work so amazingly. And

431
00:25:07,760 --> 00:25:12,440
Speaker 1: the funniest thing is that because of how mean everybody

432
00:25:12,560 --> 00:25:16,040
Speaker 1: was to Mike in the debates it's made, they're starting

433
00:25:16,040 --> 00:25:17,560
Speaker 1: to cozy up to him now that he's out of

434
00:25:17,600 --> 00:25:19,600
Speaker 1: the election. And like we got to see Joe Biden

435
00:25:20,200 --> 00:25:24,160
Speaker 1: tear into him for nondisclosure agreements and basically call him

436
00:25:24,320 --> 00:25:27,720
Speaker 1: a sexual harasser in a creep and to date, Joe

437
00:25:27,760 --> 00:25:31,280
Speaker 1: Biden tweeted this, Mike Bloomberg, I can't thank you enough

438
00:25:31,320 --> 00:25:33,920
Speaker 1: for your support and for your tireless work on everything

439
00:25:33,960 --> 00:25:36,920
Speaker 1: from gun safety reform to climate Jane. This race is

440
00:25:36,920 --> 00:25:40,200
Speaker 1: bigger than candidates and bigger than politics. It's about defeating

441
00:25:40,240 --> 00:25:45,159
Speaker 1: Donald Trump and all that money into his campaign. Yeah,

442
00:25:45,760 --> 00:25:49,120
Speaker 1: it's I've enjoyed just every time anyone drops out. That's

443
00:25:49,200 --> 00:25:51,800
Speaker 1: very funny. Like you can look at de Blasios all

444
00:25:51,840 --> 00:25:56,040
Speaker 1: of his really really mean tweets about Pete um and

445
00:25:56,040 --> 00:25:57,720
Speaker 1: then as soon as Pete dropped out, just like the

446
00:25:57,840 --> 00:26:01,040
Speaker 1: nicest thank you so much for everything you've done. Um,

447
00:26:01,080 --> 00:26:05,760
Speaker 1: it's always always fun to watch. Primaries are terrible. Yeah, yeah, yeah.

448
00:26:05,760 --> 00:26:08,520
Speaker 1: The the only times people were nice to someone who

449
00:26:08,640 --> 00:26:11,320
Speaker 1: dropped out and it seemed genuine was to Andrew Yang.

450
00:26:11,320 --> 00:26:12,679
Speaker 1: And I think it might just be that he's a

451
00:26:12,760 --> 00:26:16,520
Speaker 1: very likable person. I think everyone liked him. Um, and

452
00:26:17,000 --> 00:26:18,200
Speaker 1: I wish he was back on the stage. It was

453
00:26:18,240 --> 00:26:25,440
Speaker 1: really funny. It's nice. Um. So we mentioned how Bloomberg

454
00:26:25,520 --> 00:26:32,360
Speaker 1: kind of um detracted from the amount of winning Biden

455
00:26:32,560 --> 00:26:35,480
Speaker 1: had last night. I think it's time to talk about

456
00:26:35,480 --> 00:26:42,840
Speaker 1: Elizabeth Warren and her role yesterday in moving forward. Um, well,

457
00:26:42,880 --> 00:26:46,960
Speaker 1: I think we learned that Elizabeth's floor and of support

458
00:26:47,280 --> 00:26:50,600
Speaker 1: is pretty low. It's really depressing. I didn't even like

459
00:26:50,720 --> 00:26:54,760
Speaker 1: that joke, honestly. Yeah, well I had to make one. Look,

460
00:26:54,840 --> 00:26:57,119
Speaker 1: we can't have all these Cloba jokes and not have

461
00:26:59,600 --> 00:27:04,320
Speaker 1: Warren one. But that's all I had. Chuckle, sorry, chuckles.

462
00:27:04,320 --> 00:27:08,720
Speaker 1: Got there's so many with her, it's frustrating. If she

463
00:27:08,840 --> 00:27:12,520
Speaker 1: dropped out before last night, there is a certain amount

464
00:27:13,359 --> 00:27:16,160
Speaker 1: of the votes that would have gone to Berne as

465
00:27:16,160 --> 00:27:20,800
Speaker 1: I'm looking at right now. Um, Biden is at three.

466
00:27:20,880 --> 00:27:27,240
Speaker 1: Sanders is standards by sixty five. Oh shoot, because I mean, yeah,

467
00:27:27,280 --> 00:27:29,680
Speaker 1: it's it's been changing. What is your number, Katie? Okay?

468
00:27:29,760 --> 00:27:33,520
Speaker 1: The current delegate count Joe Biden has five and sixty six,

469
00:27:33,800 --> 00:27:37,720
Speaker 1: Bernie Sanders has five hundered and one is Elizabeth three

470
00:27:39,320 --> 00:27:42,639
Speaker 1: Pacific time on Wednesday, Elizabeth Warren has sixty one delegates.

471
00:27:42,720 --> 00:27:46,160
Speaker 1: Michael Bloomberg has fifty three, Pete Buddha Judge has twenty six.

472
00:27:46,400 --> 00:27:51,040
Speaker 1: Amy Klobascher has seven, etcetera. UM, So the main numbers

473
00:27:51,040 --> 00:27:54,520
Speaker 1: we're looking at here Biden and Sanders. UM, I want

474
00:27:54,520 --> 00:27:56,800
Speaker 1: to address something really quick. A lot of people were

475
00:27:56,920 --> 00:27:59,480
Speaker 1: upset about the thought that Elizabeth would go all the

476
00:27:59,480 --> 00:28:01,360
Speaker 1: way to commit, and she has not yet dropped out

477
00:28:01,359 --> 00:28:02,760
Speaker 1: of the the race. I highly doubt that she will go

478
00:28:02,960 --> 00:28:06,359
Speaker 1: all the way to the convention. But UM from people

479
00:28:06,359 --> 00:28:09,880
Speaker 1: in her camp, they have talked around it and said

480
00:28:09,960 --> 00:28:11,680
Speaker 1: essentially like, if she did go all the way, she

481
00:28:11,680 --> 00:28:14,000
Speaker 1: could make a deal with Bernie and give him her delegates.

482
00:28:14,240 --> 00:28:16,640
Speaker 1: So many delegates that she has, you can kind of

483
00:28:16,680 --> 00:28:20,360
Speaker 1: hope we'll see that she will give them give them

484
00:28:20,359 --> 00:28:24,520
Speaker 1: to Bernie. That said, you can also anticipate that the

485
00:28:24,520 --> 00:28:28,280
Speaker 1: rest of the candidates will give theirs and that said

486
00:28:29,359 --> 00:28:32,680
Speaker 1: last night, the problem was that Elizabeth didn't even reach

487
00:28:32,800 --> 00:28:36,920
Speaker 1: viability in so many states, so those votes were wasted, right,

488
00:28:36,920 --> 00:28:39,520
Speaker 1: They're not even going to delegates that can be handed

489
00:28:39,520 --> 00:28:41,920
Speaker 1: off or anything like that. Um, And I have a

490
00:28:41,960 --> 00:28:45,720
Speaker 1: lot of thoughts about that. Yeah, I'm frustrated. I also

491
00:28:45,920 --> 00:28:49,320
Speaker 1: do not appreciate the way the conversation is going online.

492
00:28:49,560 --> 00:28:54,120
Speaker 1: It is not all Elizabeth's fault. UM. Like we mentioned earlier,

493
00:28:54,360 --> 00:28:57,360
Speaker 1: I believe it's about forty percent. This is some pole

494
00:28:58,320 --> 00:29:01,800
Speaker 1: take it or leave it of People of Warren voters

495
00:29:01,800 --> 00:29:05,360
Speaker 1: said that they would absolutely not vote for Bernie period.

496
00:29:05,960 --> 00:29:08,040
Speaker 1: Why is that? A lot of it has to do

497
00:29:08,120 --> 00:29:10,040
Speaker 1: with stuff I just said. A lot of it has

498
00:29:10,080 --> 00:29:12,760
Speaker 1: to do with the question of electability, you know, and

499
00:29:12,800 --> 00:29:16,920
Speaker 1: that's a bigger conversation. So this idea that and even

500
00:29:17,000 --> 00:29:20,080
Speaker 1: if you did get all of Elizabeth's votes to Bernie

501
00:29:20,120 --> 00:29:23,040
Speaker 1: last night, there are some contests that would have been different.

502
00:29:23,160 --> 00:29:25,520
Speaker 1: There are a lot of them that wouldn't have UM

503
00:29:26,000 --> 00:29:28,680
Speaker 1: and I do believe, at least at the math that

504
00:29:28,760 --> 00:29:33,400
Speaker 1: I last looked at, Bernie would still be behind UM. Yeah,

505
00:29:33,480 --> 00:29:36,680
Speaker 1: it's it seems fair to say that no matter like

506
00:29:36,840 --> 00:29:40,600
Speaker 1: which polls you trust about like who Warren voters kind

507
00:29:40,600 --> 00:29:43,440
Speaker 1: of pick as their second pick. If she had dropped

508
00:29:43,480 --> 00:29:47,040
Speaker 1: out prior to Super Tuesday, the gap between Sanders and

509
00:29:47,080 --> 00:29:49,840
Speaker 1: Biden would be lower, but Biden would still be still

510
00:29:49,880 --> 00:29:53,520
Speaker 1: be ahead. So there's all all of that, you can be.

511
00:29:53,680 --> 00:29:57,160
Speaker 1: I I wish she had dropped out. The other thing

512
00:29:57,240 --> 00:29:58,880
Speaker 1: that I and this is the thing that I've been

513
00:29:58,920 --> 00:30:04,120
Speaker 1: going back and forth with all night. Um yeah, at

514
00:30:04,120 --> 00:30:07,280
Speaker 1: this point, I wish she'd she dropped out. All day yesterday,

515
00:30:07,600 --> 00:30:11,360
Speaker 1: I felt sick to my stomach wishing she hadn't dropped out. Um.

516
00:30:11,480 --> 00:30:15,240
Speaker 1: I also understand that there's no way anybody could Like,

517
00:30:15,280 --> 00:30:17,600
Speaker 1: there's also this accuization if she knew exactly what she

518
00:30:17,800 --> 00:30:20,840
Speaker 1: was doing with this, and that's bullshit. Nobody knew what

519
00:30:20,840 --> 00:30:22,840
Speaker 1: was gonna happen last night. We all thought Bernie was

520
00:30:22,840 --> 00:30:26,640
Speaker 1: gonna sweep it. So come on, guys, like that's not true.

521
00:30:27,120 --> 00:30:30,360
Speaker 1: But you know, I I she's also been coming in

522
00:30:30,400 --> 00:30:32,400
Speaker 1: like four She's also the writing was on the wall

523
00:30:32,440 --> 00:30:34,600
Speaker 1: before this that she wasn't going to do well. I

524
00:30:34,640 --> 00:30:36,840
Speaker 1: do understand that she these were the states that she'd

525
00:30:36,840 --> 00:30:38,920
Speaker 1: poured the most money into, that she was pulling the

526
00:30:38,960 --> 00:30:42,600
Speaker 1: best in. So there was this hope. There's also like

527
00:30:42,640 --> 00:30:46,960
Speaker 1: a very uh intense fan base. There's a lot of it.

528
00:30:47,040 --> 00:30:49,280
Speaker 1: She's the only woman in the field. There's a lot

529
00:30:49,280 --> 00:30:50,720
Speaker 1: of women that look up to her, there's a lot

530
00:30:50,760 --> 00:30:53,760
Speaker 1: of people that respect her and wander in this race. So, like,

531
00:30:53,800 --> 00:30:56,280
Speaker 1: I understand that the pressure from all sides at this

532
00:30:56,320 --> 00:31:00,600
Speaker 1: point she needs to drop out, and yeah, it should

533
00:31:00,600 --> 00:31:06,080
Speaker 1: have happened, But I just think the the jumping to

534
00:31:07,920 --> 00:31:09,800
Speaker 1: just so much of the conversation I've seen has been

535
00:31:09,840 --> 00:31:13,400
Speaker 1: this is her fault, and it's not. It's not. I mean,

536
00:31:13,440 --> 00:31:16,080
Speaker 1: she played a role in why where the actual delegate

537
00:31:16,200 --> 00:31:19,160
Speaker 1: numbers are right now, absolutely, but the whole thing isn't

538
00:31:19,200 --> 00:31:23,120
Speaker 1: her fault. Oh you mean like Biden doing yes, Like

539
00:31:23,280 --> 00:31:25,000
Speaker 1: it's not her fault because also you look at it,

540
00:31:25,040 --> 00:31:30,360
Speaker 1: like we already said Bloomberg votes were distracting from Biden,

541
00:31:30,440 --> 00:31:33,200
Speaker 1: so she could have helped, But it's not her fault

542
00:31:33,320 --> 00:31:36,640
Speaker 1: that Biden did well after Bedo O'Rourke and Pete Buddha

543
00:31:37,520 --> 00:31:40,960
Speaker 1: Chard dropped out and then endorsed him a day before everyone,

544
00:31:41,480 --> 00:31:45,240
Speaker 1: And like would an endorsement from Elizabeth sway A lot

545
00:31:45,280 --> 00:31:48,520
Speaker 1: of those people that'd say they wouldn't vote for Bernie.

546
00:31:48,600 --> 00:31:51,800
Speaker 1: It might it wouldn't swear all of them, um, but

547
00:31:51,880 --> 00:31:54,520
Speaker 1: it probably would have helped all of that. I agree

548
00:31:54,560 --> 00:31:58,720
Speaker 1: with it. But she's not. She's not the evil monster here.

549
00:31:59,280 --> 00:32:03,120
Speaker 1: She's She's I think some of this, some of this

550
00:32:03,200 --> 00:32:07,200
Speaker 1: comes down to this, like this difference. There's two things

551
00:32:07,240 --> 00:32:08,920
Speaker 1: that are happening one or there's two things. You can

552
00:32:08,920 --> 00:32:11,680
Speaker 1: look at what one would be objectively, if you're like

553
00:32:11,720 --> 00:32:13,719
Speaker 1: playing this like a video game, what would have been

554
00:32:13,760 --> 00:32:16,760
Speaker 1: the smartest play for progressives to go with from from

555
00:32:16,760 --> 00:32:19,920
Speaker 1: the very beginning the best chances of getting their candidate

556
00:32:19,920 --> 00:32:22,960
Speaker 1: through um. But the other the separate question is that, like,

557
00:32:23,560 --> 00:32:28,520
Speaker 1: this is a democracy and Elizabeth Warren had different feelings

558
00:32:28,560 --> 00:32:31,000
Speaker 1: about things than Bernie Sanders, and so did her supporters,

559
00:32:31,040 --> 00:32:33,640
Speaker 1: although they had a lot in common. And it's frustrating

560
00:32:33,680 --> 00:32:35,959
Speaker 1: to me. It's true that like, because of the nature

561
00:32:36,000 --> 00:32:38,480
Speaker 1: of the primaries, a lot of Warren's votes wind up

562
00:32:38,480 --> 00:32:41,920
Speaker 1: just getting completely wasted. But it's also like, does does

563
00:32:41,960 --> 00:32:44,640
Speaker 1: that sort of like cold should should she have from

564
00:32:44,680 --> 00:32:48,960
Speaker 1: the beginning just been calculating on what was overall like

565
00:32:49,120 --> 00:32:53,200
Speaker 1: the best idea for progressives or should people who are

566
00:32:53,240 --> 00:32:56,000
Speaker 1: in politics and trying to push a specific vision about

567
00:32:56,000 --> 00:32:58,760
Speaker 1: how the country should be be able to like run

568
00:32:59,000 --> 00:33:02,680
Speaker 1: on that, like and I think that it's it's as

569
00:33:02,720 --> 00:33:06,160
Speaker 1: someone who has not been supporting Warren as a candidate

570
00:33:06,240 --> 00:33:09,680
Speaker 1: for a while now, Um, it's frustrating to me that like,

571
00:33:09,880 --> 00:33:13,560
Speaker 1: there's this attitude among people that no one else that

572
00:33:13,600 --> 00:33:16,560
Speaker 1: everyone should have just fallen in line between behind either

573
00:33:17,040 --> 00:33:20,080
Speaker 1: the centrist or the progressive, and it's like, no, we

574
00:33:20,320 --> 00:33:22,600
Speaker 1: should this is a primary, like, you should be able

575
00:33:22,640 --> 00:33:25,280
Speaker 1: to and I don't know, Like it is frustrating because

576
00:33:25,320 --> 00:33:27,800
Speaker 1: the stakes are incredibly high and maybe we will all

577
00:33:27,800 --> 00:33:30,320
Speaker 1: wind up regretting that she didn't. But it's also really

578
00:33:30,360 --> 00:33:32,200
Speaker 1: angry to me that the system works in such a

579
00:33:32,240 --> 00:33:35,800
Speaker 1: way that people are like, it's bad that she didn't

580
00:33:35,880 --> 00:33:38,280
Speaker 1: shut the funk up, And I don't think that's should

581
00:33:38,320 --> 00:33:40,680
Speaker 1: be what democracy is, right, Like, even if I don't,

582
00:33:40,760 --> 00:33:43,680
Speaker 1: I don't feel like, Yeah, it's frustrating to me. I

583
00:33:43,680 --> 00:33:47,920
Speaker 1: completely I agree with that, um, And it's hard for

584
00:33:47,960 --> 00:33:51,480
Speaker 1: me to not run my brain and run my brain.

585
00:33:51,520 --> 00:33:53,160
Speaker 1: It's hard for me to keep my brain from running

586
00:33:53,160 --> 00:33:58,800
Speaker 1: in circles about Okay, we've just been tearing each other apart.

587
00:33:59,440 --> 00:34:02,880
Speaker 1: The progress the side of this of the Democratic Party.

588
00:34:03,000 --> 00:34:06,800
Speaker 1: And also, let's be clear, the Progresses are not Democrats.

589
00:34:06,880 --> 00:34:09,600
Speaker 1: We're not I don't know that. We're democratic socialists, a

590
00:34:09,640 --> 00:34:12,600
Speaker 1: lot all of us. But like it's a completely different

591
00:34:12,600 --> 00:34:15,719
Speaker 1: party from the people that wanted Joe Biden or a

592
00:34:15,760 --> 00:34:19,399
Speaker 1: n Amy Klober you know. Um, but the the these

593
00:34:19,400 --> 00:34:24,240
Speaker 1: two camps and we've been tearing each other down and

594
00:34:24,239 --> 00:34:27,080
Speaker 1: and and I don't know, how does that undercut the

595
00:34:27,120 --> 00:34:30,520
Speaker 1: whole message? And how does that How how unappetizing is

596
00:34:30,520 --> 00:34:33,719
Speaker 1: that to people who might have come over here. And

597
00:34:33,719 --> 00:34:37,719
Speaker 1: I look at Elizabeth Warren Um, and yeah, she's made mistakes,

598
00:34:38,239 --> 00:34:40,120
Speaker 1: she has. I think she has a lot of different

599
00:34:40,120 --> 00:34:42,600
Speaker 1: pressures being a woman trying to navigate this field, trying

600
00:34:42,600 --> 00:34:46,160
Speaker 1: to find her position, because you know, Bernie's got these

601
00:34:46,200 --> 00:34:50,719
Speaker 1: people who are devout followers of him and will fight

602
00:34:50,800 --> 00:34:53,080
Speaker 1: for him, and that's one. But like, how does she

603
00:34:53,160 --> 00:34:56,719
Speaker 1: differentiate herself from them? Um? And there's part of me

604
00:34:57,520 --> 00:35:02,120
Speaker 1: seeing the way people who voted for Biden but also

605
00:35:02,200 --> 00:35:04,880
Speaker 1: really liked her. Would she have been a more palatable

606
00:35:04,920 --> 00:35:07,799
Speaker 1: one for us to rally around. I don't actually think so,

607
00:35:07,880 --> 00:35:10,759
Speaker 1: because I do agree that, like, know, the points that

608
00:35:10,800 --> 00:35:12,680
Speaker 1: you have made over and over again about like we

609
00:35:12,719 --> 00:35:16,799
Speaker 1: don't compromise, we swing for the what we want and

610
00:35:16,800 --> 00:35:20,399
Speaker 1: and and then we end up compromising in that part

611
00:35:20,480 --> 00:35:21,880
Speaker 1: of it. Great, but not out of the gate. I

612
00:35:21,920 --> 00:35:25,880
Speaker 1: totally get that, and I and in theory I agree

613
00:35:25,920 --> 00:35:27,839
Speaker 1: with it. I mean, I do agree with it. It's

614
00:35:27,880 --> 00:35:31,640
Speaker 1: just hard to not play a what if game, and

615
00:35:31,800 --> 00:35:35,960
Speaker 1: it's hard to not feel sour that sexism played a

616
00:35:36,040 --> 00:35:40,440
Speaker 1: role in it, which it did, but she did really badly,

617
00:35:41,400 --> 00:35:45,040
Speaker 1: and you know she didn't really really badly. It is

618
00:35:45,080 --> 00:35:48,800
Speaker 1: done at this point. It is even even the argument

619
00:35:48,840 --> 00:35:51,560
Speaker 1: about like, well, people should be able to like advocate

620
00:35:51,600 --> 00:35:53,279
Speaker 1: for their own beliefs, and you know that's part of

621
00:35:53,320 --> 00:35:54,719
Speaker 1: the point, is like, well but okay, at this point,

622
00:35:54,760 --> 00:35:59,000
Speaker 1: we've seen like what people, this isn't this isn't gonna work, Elizabeth.

623
00:35:59,160 --> 00:36:06,400
Speaker 1: Let's let's let's right. It's very clear. Yeah, yeah, anyway,

624
00:36:06,520 --> 00:36:08,879
Speaker 1: And it is frustrating me to see people being like

625
00:36:09,719 --> 00:36:12,160
Speaker 1: bringing up misogyny when folks are like, okay, this is

626
00:36:12,200 --> 00:36:14,480
Speaker 1: definitely appointed which to step out of the race, and

627
00:36:14,480 --> 00:36:16,319
Speaker 1: it's like you're telling a woman to sit down, like no,

628
00:36:16,440 --> 00:36:20,719
Speaker 1: I'm I'm I'm not telling this candidate. There's a lot

629
00:36:20,719 --> 00:36:27,080
Speaker 1: of defensiveness about like about that that, UM, it's a

630
00:36:27,480 --> 00:36:29,799
Speaker 1: like protecting like well, did you shouldn't know you? This

631
00:36:29,840 --> 00:36:31,640
Speaker 1: and this and this, and it's like, well, she's a politician.

632
00:36:31,920 --> 00:36:34,920
Speaker 1: We're like we're talking, we're talking to politicians right now.

633
00:36:35,640 --> 00:36:43,160
Speaker 1: Misogyny Okay, that certainly has played a role in this election. Yes,

634
00:36:43,280 --> 00:36:48,240
Speaker 1: but admitting defeat when you're clearly losing is not misogynistic,

635
00:36:48,440 --> 00:36:51,239
Speaker 1: like or like people saying that that's not misogynistic, that's

636
00:36:51,280 --> 00:36:54,800
Speaker 1: not sexism. That is the reality that she is hurting

637
00:36:55,080 --> 00:36:57,760
Speaker 1: her cause at the moment, and she's losing the respect

638
00:36:57,800 --> 00:37:02,640
Speaker 1: of people that um might might support her in the

639
00:37:02,680 --> 00:37:06,239
Speaker 1: future for her next endeavor, you know. And I don't

640
00:37:06,239 --> 00:37:08,239
Speaker 1: know what the ultimate game is, UM. I don't know

641
00:37:08,280 --> 00:37:10,799
Speaker 1: why she I believe the last I read is that

642
00:37:10,960 --> 00:37:16,360
Speaker 1: they are having a UM and she is assessing her campaign,

643
00:37:16,520 --> 00:37:18,520
Speaker 1: which is what they say when they are about to

644
00:37:18,600 --> 00:37:21,400
Speaker 1: drop out. Some of what we're seeing here, that is

645
00:37:21,600 --> 00:37:26,600
Speaker 1: I think maybe should be analyzed, um more, more thoroughly,

646
00:37:26,640 --> 00:37:29,839
Speaker 1: because it's really important. Is like all of this hate

647
00:37:29,840 --> 00:37:34,960
Speaker 1: and this anger between the people who are ostensibly on

648
00:37:35,040 --> 00:37:38,200
Speaker 1: like a similar side, if not the same side, is

649
00:37:39,280 --> 00:37:41,359
Speaker 1: some of some some of what we're seeing here from

650
00:37:41,360 --> 00:37:43,239
Speaker 1: people who are if not on the same side, then

651
00:37:43,280 --> 00:37:47,080
Speaker 1: on a similar side. Is Um, what has happened because

652
00:37:47,080 --> 00:37:49,759
Speaker 1: of the Internet, and because not just because because of

653
00:37:49,800 --> 00:37:52,440
Speaker 1: the media ecosystem we have allowed to take hold in

654
00:37:52,480 --> 00:37:57,840
Speaker 1: our country. Um, it is impossible to have people competing

655
00:37:57,880 --> 00:38:01,080
Speaker 1: politically in this country and not eating each other. And

656
00:38:01,120 --> 00:38:04,640
Speaker 1: that has not always been the case. Um. And it

657
00:38:04,680 --> 00:38:07,600
Speaker 1: doesn't mean that, like the issues aren't actually important, but

658
00:38:07,680 --> 00:38:10,600
Speaker 1: it does mean that, Like, the reason that a big

659
00:38:10,640 --> 00:38:13,239
Speaker 1: part of why Sanders and Warren supporters have been so

660
00:38:13,320 --> 00:38:15,799
Speaker 1: at each other's throats is the same reason that like

661
00:38:15,960 --> 00:38:19,040
Speaker 1: Trump supporters and everyone else have been like increasingly pushed

662
00:38:19,080 --> 00:38:22,279
Speaker 1: to the brink of armed conflict. It's something incredibly fundamentally

663
00:38:22,360 --> 00:38:26,080
Speaker 1: toxic in the way our country and its media ecosystem

664
00:38:26,120 --> 00:38:28,400
Speaker 1: works right now, and we all need to be it

665
00:38:28,440 --> 00:38:30,040
Speaker 1: needs to be a bigger topic of like how we

666
00:38:30,560 --> 00:38:33,719
Speaker 1: like this has to change. It's not survivable. This is like,

667
00:38:33,760 --> 00:38:36,120
Speaker 1: this is literally a life or death issue, and we

668
00:38:36,160 --> 00:38:38,360
Speaker 1: will not survive it if we do not break this

669
00:38:38,440 --> 00:38:41,120
Speaker 1: current system and replace it with something that does not

670
00:38:41,239 --> 00:38:44,640
Speaker 1: inevitably push people towards tearing it out each other's throats.

671
00:38:45,040 --> 00:38:53,440
Speaker 1: That is the situation. You know what, that wasn't nice.

672
00:38:55,440 --> 00:38:58,640
Speaker 1: I would much prefer eating ship to watching another ten

673
00:38:58,680 --> 00:39:02,520
Speaker 1: minutes of NBC. Would I watched for their election coming?

674
00:39:02,600 --> 00:39:05,799
Speaker 1: Did you choose NBC at least choosing I just want

675
00:39:05,840 --> 00:39:09,719
Speaker 1: to see because they got Steve Karnaki those you know

676
00:39:09,840 --> 00:39:13,040
Speaker 1: NBC has Steve Karnaki too. They were talking about Kernaxter

677
00:39:13,200 --> 00:39:15,280
Speaker 1: all night. He was it was they couldn't, they couldn't.

678
00:39:15,360 --> 00:39:19,600
Speaker 1: Kern asks wild. They loved him, they loved talking about

679
00:39:19,640 --> 00:39:21,480
Speaker 1: his numbers. They were talking about him. But was he

680
00:39:21,680 --> 00:39:24,000
Speaker 1: up there being like doing his thing with the board.

681
00:39:24,760 --> 00:39:26,799
Speaker 1: Oh yeah, he was doing all sorts of things. He

682
00:39:26,840 --> 00:39:32,040
Speaker 1: was saying numbers. He was numbers. You're watching m was

683
00:39:32,160 --> 00:39:35,200
Speaker 1: Rachel Maddow on. No. No, it was like it was

684
00:39:35,239 --> 00:39:37,279
Speaker 1: like Steve Karnaki in a room full of people, and

685
00:39:37,440 --> 00:39:39,719
Speaker 1: every now, every two minutes or so, there would be

686
00:39:39,760 --> 00:39:42,279
Speaker 1: more ads, and the ads just talk about running from

687
00:39:42,320 --> 00:39:45,960
Speaker 1: one news room. Yeah, he had his sleeves rolled up.

688
00:39:46,440 --> 00:39:49,160
Speaker 1: I had never heard of him before, and I hope

689
00:39:49,200 --> 00:39:51,400
Speaker 1: never to hear from him again. Oh no, he's cute.

690
00:39:52,640 --> 00:39:55,840
Speaker 1: He's cute. And then he loves math and numbers. You

691
00:39:55,880 --> 00:39:58,640
Speaker 1: know who else loves numbers. Who else loves numbers? Robert

692
00:39:59,000 --> 00:40:03,120
Speaker 1: the product, product support this product is like Steve Kernaki.

693
00:40:03,840 --> 00:40:07,640
Speaker 1: Are the numbers dollars? Yeah, the numbers are dollars. Okay, nice,

694
00:40:08,239 --> 00:40:20,319
Speaker 1: well together everything, so don't don't and we are now

695
00:40:20,400 --> 00:40:26,200
Speaker 1: back again. Um back back back, that's right. Sorry, I

696
00:40:26,200 --> 00:40:30,759
Speaker 1: don't apologize to light some light influence episode everyone. Um yeah,

697
00:40:30,840 --> 00:40:33,360
Speaker 1: I think it's time to talk about some more positive things,

698
00:40:34,160 --> 00:40:39,799
Speaker 1: or productive things at least, to focus on moving forward. Um. Progress.

699
00:40:40,040 --> 00:40:44,040
Speaker 1: I've gotten a lot of messages from people saying just

700
00:40:44,239 --> 00:40:51,880
Speaker 1: feeling despondent um, you know, people saying how depressing it's been,

701
00:40:52,080 --> 00:40:56,440
Speaker 1: you know, Bernie supporting Bernie and the lost the to

702
00:40:56,600 --> 00:40:59,520
Speaker 1: Hillary Clinton in twenty sixteen, then Hillary losing to Trump

703
00:40:59,600 --> 00:41:04,480
Speaker 1: and and in this and it feels like banging your

704
00:41:04,520 --> 00:41:07,919
Speaker 1: head against a wall. And I will say this, it's

705
00:41:07,920 --> 00:41:12,880
Speaker 1: not easy being progressive. It never is. It's not easy

706
00:41:12,920 --> 00:41:16,759
Speaker 1: being the people that want to change. It just isn't.

707
00:41:16,800 --> 00:41:19,560
Speaker 1: And it's never gonna be easy. We're gonna lose until

708
00:41:19,560 --> 00:41:25,520
Speaker 1: we don't. And and I know it's exhausting, but there's

709
00:41:25,560 --> 00:41:28,680
Speaker 1: also hope in that that, like more and more people

710
00:41:28,920 --> 00:41:33,080
Speaker 1: are coming around to it and Um, this is something

711
00:41:33,120 --> 00:41:37,120
Speaker 1: that my friend, you know, he's also a Bernie supporter.

712
00:41:37,800 --> 00:41:41,279
Speaker 1: He's definitely a more objective and remove from the things.

713
00:41:41,320 --> 00:41:43,520
Speaker 1: He doesn't get caught up emotionally in things the way

714
00:41:43,520 --> 00:41:46,200
Speaker 1: that I do, the way that we do. Um. And

715
00:41:46,239 --> 00:41:50,040
Speaker 1: halfway through the evening last night, he was like, well,

716
00:41:50,160 --> 00:41:53,120
Speaker 1: I've come around. I'm okay. I will be okay with

717
00:41:53,120 --> 00:41:55,160
Speaker 1: a Biden presidency. And I was like, what are you

718
00:41:55,719 --> 00:41:58,719
Speaker 1: And he was like, well, think about it. Biden is

719
00:41:58,719 --> 00:42:01,839
Speaker 1: actually way more progressive and even Obama was I was like, what,

720
00:42:02,560 --> 00:42:06,720
Speaker 1: But he's not wrong. He supported gay marriage well before

721
00:42:07,160 --> 00:42:09,960
Speaker 1: Obama did. Obama was elected and didn't support gay marriage,

722
00:42:10,320 --> 00:42:14,920
Speaker 1: you know, all sorts of stuff. And he's even he's

723
00:42:15,520 --> 00:42:17,600
Speaker 1: got a huge faction of the party right now that

724
00:42:17,640 --> 00:42:20,799
Speaker 1: he needs to unify that are more progressive. He will be.

725
00:42:20,920 --> 00:42:22,879
Speaker 1: He will be more easily influenced. He kind of goes

726
00:42:22,960 --> 00:42:25,200
Speaker 1: from the hip, you know, which isn't great, but you

727
00:42:25,239 --> 00:42:30,160
Speaker 1: can also see him caving to pressure. He things are

728
00:42:30,239 --> 00:42:32,320
Speaker 1: vastly different now than they were even back when we're

729
00:42:32,320 --> 00:42:35,480
Speaker 1: saying we could bully him and for all, I am

730
00:42:35,600 --> 00:42:37,799
Speaker 1: kind of saying that we don't even necessarily need to

731
00:42:37,800 --> 00:42:42,600
Speaker 1: bully him because he's apparently were old and clearly sundoubting.

732
00:42:42,719 --> 00:42:45,160
Speaker 1: So we can just trick him into so we remember,

733
00:42:45,239 --> 00:42:50,239
Speaker 1: you committed to Medicare for all. Um. There's a clip

734
00:42:50,560 --> 00:42:53,000
Speaker 1: rolling around today from two thousand eight of him literally

735
00:42:53,040 --> 00:42:55,080
Speaker 1: saying that, yeah, we have universal healthcare. It sucks that

736
00:42:55,120 --> 00:42:56,719
Speaker 1: people can't pay for healthcare. We're gonna do it. We're

737
00:42:56,719 --> 00:42:58,680
Speaker 1: gonna do it. Focus, you know. I mean, especially since

738
00:42:58,719 --> 00:43:00,759
Speaker 1: he's he talks about law us and the loss in

739
00:43:00,840 --> 00:43:03,520
Speaker 1: his family, and and that is something that he can

740
00:43:03,560 --> 00:43:08,359
Speaker 1: be pressured on. The other thing, depending on how much

741
00:43:08,360 --> 00:43:10,439
Speaker 1: he degenerates, Katie, we might be able to just trick

742
00:43:10,480 --> 00:43:12,839
Speaker 1: him into thinking he's been Bernie Sanders all along. I mean,

743
00:43:13,080 --> 00:43:17,640
Speaker 1: the possibilities are endless. Well. The other the other point

744
00:43:17,680 --> 00:43:21,680
Speaker 1: I wanted to make about that, about not the calling

745
00:43:21,719 --> 00:43:25,040
Speaker 1: him Bernie Sanders, but about the hope that we can

746
00:43:25,080 --> 00:43:31,120
Speaker 1: have even with a Biden presidency, Uh, is that that's

747
00:43:31,120 --> 00:43:34,239
Speaker 1: what the convention is for. Like, we will, we will,

748
00:43:34,440 --> 00:43:37,840
Speaker 1: we have a big voice right now, we will hopefully

749
00:43:38,000 --> 00:43:41,399
Speaker 1: probably be able to affect policy that gets decided upon

750
00:43:41,400 --> 00:43:44,919
Speaker 1: the convention. And at the very least Biden's gonna need

751
00:43:44,960 --> 00:43:47,920
Speaker 1: to choose a progressive running mate. I mean, maybe he won't,

752
00:43:47,960 --> 00:43:51,480
Speaker 1: but that's in his very best interest to choose someone

753
00:43:50,920 --> 00:43:54,880
Speaker 1: type came. I mean, of course I told that to Cody,

754
00:43:54,880 --> 00:43:57,200
Speaker 1: and that's what he said it. Well, I mean I

755
00:43:57,200 --> 00:44:00,200
Speaker 1: I think that he probably will his proper name guys

756
00:44:00,760 --> 00:44:06,520
Speaker 1: Bernie Sanders, Timmy k Yeah, t swizzlewizz Um Yeah. I

757
00:44:06,520 --> 00:44:10,120
Speaker 1: think they call him Katie. It is more likely that

758
00:44:10,160 --> 00:44:12,799
Speaker 1: he will do that this time around. I think that

759
00:44:13,280 --> 00:44:16,719
Speaker 1: of all the lessons, uh, that the Democrats should have

760
00:44:16,800 --> 00:44:20,760
Speaker 1: learned from, I think perhaps one of them they actually

761
00:44:20,880 --> 00:44:24,120
Speaker 1: did learn is the running mate issue. I have not

762
00:44:24,239 --> 00:44:26,759
Speaker 1: seen evidence yet that the Democratic Party has ever learned

763
00:44:26,760 --> 00:44:29,439
Speaker 1: a single lesson. Oh, I'm very doubtful. I'm just saying,

764
00:44:31,080 --> 00:44:36,600
Speaker 1: I'm saying some room for hope here. I hope that

765
00:44:36,640 --> 00:44:39,040
Speaker 1: they are paying attention. One of the things that I

766
00:44:39,160 --> 00:44:44,000
Speaker 1: just David Sirota just um pointed out, who works for Sanders,

767
00:44:44,320 --> 00:44:47,080
Speaker 1: So I should note that as well. Um. But it's

768
00:44:47,120 --> 00:44:49,240
Speaker 1: like a former journalist who works for the Sanders campaign

769
00:44:49,640 --> 00:44:53,880
Speaker 1: that Sanders one independent swing voters in thirteen out of

770
00:44:53,920 --> 00:44:57,279
Speaker 1: the sixteen Democratic primaries and caucuses that have happened so far.

771
00:44:57,280 --> 00:44:59,880
Speaker 1: And this is according to seeing an exit polls. So

772
00:45:01,040 --> 00:45:04,359
Speaker 1: two things are true here, and I think they're both important. Um,

773
00:45:04,760 --> 00:45:06,359
Speaker 1: counter to what a lot of folks on the left

774
00:45:06,480 --> 00:45:10,120
Speaker 1: like to say, the fact that Biden is ahead now

775
00:45:10,120 --> 00:45:12,759
Speaker 1: and that Hillary one last time is not do has

776
00:45:12,840 --> 00:45:15,880
Speaker 1: less to do with funk jobs, although they are a factor.

777
00:45:16,080 --> 00:45:17,359
Speaker 1: Then it has to do with the fact that both

778
00:45:17,360 --> 00:45:20,840
Speaker 1: of those candidates have more support within the Democratic Party itself.

779
00:45:21,160 --> 00:45:23,440
Speaker 1: I think it is also true, and it is my opinion,

780
00:45:23,600 --> 00:45:25,400
Speaker 1: and this is part of why I support him, that

781
00:45:25,480 --> 00:45:28,080
Speaker 1: Sanders has a better shot at winning the general election.

782
00:45:28,160 --> 00:45:29,560
Speaker 1: And part of why I think he does is he

783
00:45:29,600 --> 00:45:31,480
Speaker 1: has a better shot of drawing in people who are

784
00:45:31,480 --> 00:45:34,520
Speaker 1: not traditionally Democratic voters. In One of the big shortcomings

785
00:45:34,560 --> 00:45:37,279
Speaker 1: of the primary caucus system right now is that it

786
00:45:37,360 --> 00:45:40,680
Speaker 1: is determining who Democrats like more, not who's going to

787
00:45:40,680 --> 00:45:43,960
Speaker 1: win the election. Look at where Biden has won so far,

788
00:45:45,080 --> 00:45:47,880
Speaker 1: like Texas. Great that he won Texas doesn't mean that

789
00:45:47,920 --> 00:45:50,520
Speaker 1: he's gonna win it in the general. Great that he

790
00:45:50,600 --> 00:45:52,680
Speaker 1: won South Carolina doesn't mean he's gonna win it. He's

791
00:45:52,719 --> 00:45:58,480
Speaker 1: almost much you know Texas, And Yeah, it's so interesting

792
00:45:58,480 --> 00:46:00,440
Speaker 1: because you look at last night's results and there's a

793
00:46:00,440 --> 00:46:02,799
Speaker 1: lot of talk about all these states that Bernie one

794
00:46:02,840 --> 00:46:07,120
Speaker 1: in sixteen, but he didn't win now, and why is that,

795
00:46:07,160 --> 00:46:10,080
Speaker 1: Like he didn't mobilize his base and all this stuff.

796
00:46:10,080 --> 00:46:14,560
Speaker 1: He's lost support, didn't gain support. Sen was different, different

797
00:46:17,200 --> 00:46:20,680
Speaker 1: in a vacuum, Katie, Okay, Um, you know. I mean

798
00:46:21,920 --> 00:46:24,279
Speaker 1: there's a lot of data. I guess that people were

799
00:46:24,320 --> 00:46:26,960
Speaker 1: more willing to vote for Bernie in the primary because

800
00:46:27,360 --> 00:46:29,400
Speaker 1: he was losing, and they're like, yeah, i'd like to

801
00:46:29,400 --> 00:46:30,799
Speaker 1: see I want him to stick in this. I want

802
00:46:30,840 --> 00:46:33,600
Speaker 1: to see what he has to say. And this time around,

803
00:46:33,640 --> 00:46:35,839
Speaker 1: the stakes are higher because back then we didn't think

804
00:46:35,880 --> 00:46:38,640
Speaker 1: that Donald Trump was gonna win, and they're scared and

805
00:46:38,640 --> 00:46:42,040
Speaker 1: they're nervous. He still did very well considering all of

806
00:46:42,040 --> 00:46:45,160
Speaker 1: these other factors, and that there are more people running

807
00:46:45,480 --> 00:46:48,879
Speaker 1: like there were just a ton market. It's a different

808
00:46:48,920 --> 00:46:53,040
Speaker 1: set of circumstances. He did well considering and I think

809
00:46:53,280 --> 00:46:55,000
Speaker 1: just the fact that he's been on the stage for

810
00:46:55,040 --> 00:46:57,399
Speaker 1: so long at this point helps us forget it. He's

811
00:46:57,440 --> 00:47:03,000
Speaker 1: a he's a He's a shouty, wild haired socialist who

812
00:47:03,120 --> 00:47:07,200
Speaker 1: visited the Soviet Union uh and spoke positively about Fidel

813
00:47:07,280 --> 00:47:10,520
Speaker 1: Castro and he's still one of the front runners because

814
00:47:10,560 --> 00:47:13,800
Speaker 1: Americans have turned around that much on the basic idea

815
00:47:13,880 --> 00:47:17,359
Speaker 1: of whether or not socialism has a place in our society,

816
00:47:17,400 --> 00:47:20,160
Speaker 1: and that like that was almost unimaginable five or six

817
00:47:20,239 --> 00:47:22,480
Speaker 1: years ago. Yes, and I'm not saying that like you know,

818
00:47:22,560 --> 00:47:25,839
Speaker 1: it's it's I I like Castro, I want to be

819
00:47:25,840 --> 00:47:27,799
Speaker 1: clear about that. I'm saying that, like the fact that

820
00:47:28,280 --> 00:47:30,759
Speaker 1: the American public clearly didn't buy or at least a

821
00:47:30,760 --> 00:47:32,439
Speaker 1: lot of the voting public I don't think bought into

822
00:47:32,440 --> 00:47:35,120
Speaker 1: the idea that like just saying positive things about the

823
00:47:35,160 --> 00:47:41,920
Speaker 1: Cuban government what ment Sanders was straight up us people.

824
00:47:42,239 --> 00:47:44,680
Speaker 1: I do think there's a lot of hope in how

825
00:47:44,719 --> 00:47:46,960
Speaker 1: well he continues to do and how much how many

826
00:47:47,000 --> 00:47:49,759
Speaker 1: of the legs his ideas clearly have and whether or

827
00:47:49,800 --> 00:47:53,280
Speaker 1: not the Democratic Party learns that lesson. I have hope

828
00:47:53,320 --> 00:47:57,000
Speaker 1: that someone will before we are all consumed by a

829
00:47:57,040 --> 00:48:01,480
Speaker 1: fascist healthscape and boiled to death. And uh, yeah, there

830
00:48:01,480 --> 00:48:04,319
Speaker 1: are so many things that, even even though if they

831
00:48:04,320 --> 00:48:07,440
Speaker 1: won't necessarily admit that the Democratic Party is talking about,

832
00:48:08,160 --> 00:48:16,640
Speaker 1: that are happening because of him leading that conversation. Yeah, absolutely, um,

833
00:48:17,680 --> 00:48:22,439
Speaker 1: not because of him, but it's true. He is. He's

834
00:48:22,560 --> 00:48:25,760
Speaker 1: changing the shape of politics here in the way people

835
00:48:26,080 --> 00:48:28,960
Speaker 1: think about what's possible. UM. And that's something I think

836
00:48:29,160 --> 00:48:33,480
Speaker 1: really resonates with people. UM. And a lot of UH

837
00:48:33,719 --> 00:48:36,479
Speaker 1: candidates have talked about that in terms of like, well,

838
00:48:36,640 --> 00:48:40,960
Speaker 1: this is bold enough, this is plenty bold. Um. Yeah.

839
00:48:41,560 --> 00:48:44,720
Speaker 1: Another one about Biden today about being plenty bold um.

840
00:48:44,760 --> 00:48:47,239
Speaker 1: But I think people should see through that, UM, and

841
00:48:47,280 --> 00:48:49,160
Speaker 1: they're like, well, no, it's not playing. I mean, like

842
00:48:49,280 --> 00:48:52,879
Speaker 1: Pete Buddah Judge's speech when he was endorsing Biden, Let's

843
00:48:52,920 --> 00:48:55,680
Speaker 1: form a new kind of politics, one where we're kind

844
00:48:55,800 --> 00:49:00,040
Speaker 1: to each other. Get out of here, you know. I

845
00:49:00,080 --> 00:49:04,240
Speaker 1: also think it's really hopeful that the success of Bernard

846
00:49:04,360 --> 00:49:07,040
Speaker 1: Sanders means that we are closer to ever to a

847
00:49:07,120 --> 00:49:10,480
Speaker 1: country in which Doc Brown from Back to the Future

848
00:49:10,560 --> 00:49:14,319
Speaker 1: could potentially win a presidential election. Very good, very good.

849
00:49:14,320 --> 00:49:16,759
Speaker 1: And that is the only thing I've ever advocated for

850
00:49:16,880 --> 00:49:18,680
Speaker 1: on the platform, that he's going to go back in

851
00:49:18,719 --> 00:49:25,760
Speaker 1: time and shoot JFK again. Yes, yes, a second shot. U. Yeah, yeah.

852
00:49:25,880 --> 00:49:29,279
Speaker 1: I want to the speaking of this hope thing, how

853
00:49:29,400 --> 00:49:31,520
Speaker 1: hopeful it is and how exciting it is. And you know,

854
00:49:31,520 --> 00:49:36,200
Speaker 1: we talked earlier about how this feels so much more

855
00:49:36,200 --> 00:49:41,040
Speaker 1: steeped in anger this time around. Understandably um, but moving forward,

856
00:49:41,080 --> 00:49:42,799
Speaker 1: what can we do? Like we said, he's not that

857
00:49:42,880 --> 00:49:46,680
Speaker 1: far behind Biden, he does have a steep to climb.

858
00:49:47,000 --> 00:49:49,680
Speaker 1: But what can we do? I don't ever want to

859
00:49:49,719 --> 00:49:53,800
Speaker 1: have happened again what I felt in sixteen watching Donald

860
00:49:53,800 --> 00:49:56,120
Speaker 1: Trump win, which is what could I have done more?

861
00:49:56,400 --> 00:49:58,360
Speaker 1: What could I have done more? I could canvassed, I

862
00:49:58,400 --> 00:50:00,960
Speaker 1: could have phoned banked. So what we have the opportunity

863
00:50:01,040 --> 00:50:04,120
Speaker 1: to do right now is to pick up a phone,

864
00:50:04,200 --> 00:50:05,880
Speaker 1: is to sign up to You can do it from

865
00:50:05,920 --> 00:50:08,120
Speaker 1: your house. It's easy to give you a script and

866
00:50:08,360 --> 00:50:10,960
Speaker 1: most people aren't going to answer, but some people will

867
00:50:11,440 --> 00:50:16,000
Speaker 1: and and it's easy and having those conversations that actually

868
00:50:16,000 --> 00:50:19,000
Speaker 1: connect with people and can put forth that hopeful, positive

869
00:50:19,040 --> 00:50:21,759
Speaker 1: message and not in a way that's attacking them, but

870
00:50:21,840 --> 00:50:24,440
Speaker 1: like having a conversation. Sorry, I mean, yeah, that's what

871
00:50:24,440 --> 00:50:26,359
Speaker 1: I'm saying. And I think that I don't think anyone

872
00:50:26,400 --> 00:50:28,560
Speaker 1: that phone banks or canvases does that. Like that's the thing.

873
00:50:28,600 --> 00:50:31,719
Speaker 1: Like I've come out, I mean, I've been by I

874
00:50:31,719 --> 00:50:37,800
Speaker 1: mean I had a bad exchange with a Bloomberg. Everyone

875
00:50:37,840 --> 00:50:39,879
Speaker 1: that's That's the thing that I mean though, that like

876
00:50:40,239 --> 00:50:41,799
Speaker 1: we can talk about like the Twitter things and like

877
00:50:41,880 --> 00:50:45,040
Speaker 1: personal conversation with friends and stuff that get heated, but

878
00:50:45,520 --> 00:50:48,800
Speaker 1: the people who are actually on the ground doing the canvassing,

879
00:50:48,960 --> 00:50:52,280
Speaker 1: doing the texting and the calling, they're all kind, welcoming,

880
00:50:52,360 --> 00:50:55,320
Speaker 1: positive people. Um. And that's because that is what the

881
00:50:55,360 --> 00:50:58,000
Speaker 1: campaigns say. That you can't say for certain that that's true,

882
00:50:58,040 --> 00:51:00,239
Speaker 1: but I certainly hope it's true, and we can we

883
00:51:00,280 --> 00:51:03,040
Speaker 1: can do that for ourselves to make sure that we

884
00:51:03,080 --> 00:51:06,560
Speaker 1: are when you're looking for him. I mean, yeah, but

885
00:51:06,640 --> 00:51:10,759
Speaker 1: you know, go ahead, which both said brings to mind

886
00:51:10,760 --> 00:51:14,480
Speaker 1: a quote from Roumi, thirteenth century Afghan poet that I

887
00:51:14,520 --> 00:51:18,280
Speaker 1: think is really relevant right here, Um, out beyond ideas

888
00:51:18,280 --> 00:51:20,919
Speaker 1: of wrongdoing and right doing, there is a field. I'll

889
00:51:20,920 --> 00:51:23,400
Speaker 1: meet you there when the soul lies down in that grass.

890
00:51:23,600 --> 00:51:26,360
Speaker 1: The world is too full to talk about. And I was.

891
00:51:26,400 --> 00:51:29,760
Speaker 1: I was reminded of these beautiful words because Ivanka Trunk

892
00:51:30,000 --> 00:51:33,920
Speaker 1: tweeted them to the Taliban when we were talking about

893
00:51:34,400 --> 00:51:37,000
Speaker 1: a beautiful words. Man, I wish you hadn't tell me

894
00:51:37,040 --> 00:51:41,440
Speaker 1: that part. Like the president's daughter told the Taliban that

895
00:51:41,480 --> 00:51:45,120
Speaker 1: out between beyond ideas of wrongdoing and right doing. There

896
00:51:45,160 --> 00:51:49,160
Speaker 1: is a field where they could meet and talk, where

897
00:51:49,200 --> 00:51:57,960
Speaker 1: wings take dreams. Wow, she's that's wild. Um, I go ahead,

898
00:51:58,160 --> 00:52:03,840
Speaker 1: first daughter, good stuff. I think that yesterday was a

899
00:52:03,920 --> 00:52:08,240
Speaker 1: very somber affair for a lot of people and uh disappointing, um,

900
00:52:08,239 --> 00:52:11,319
Speaker 1: surprising to some UM. And I think a lot of

901
00:52:11,320 --> 00:52:17,160
Speaker 1: people felt very defeated. And I don't think that. I mean,

902
00:52:17,320 --> 00:52:22,279
Speaker 1: I feel what you feel. But I think that we're

903
00:52:22,640 --> 00:52:27,080
Speaker 1: it's so early. Uh, the difference between the two top

904
00:52:27,400 --> 00:52:31,440
Speaker 1: candidates is not that large, and there are a lot

905
00:52:31,480 --> 00:52:35,960
Speaker 1: more states out there, and uh, depending like on what

906
00:52:36,000 --> 00:52:38,560
Speaker 1: Warren does and things like that, and keeping this positive

907
00:52:38,600 --> 00:52:42,839
Speaker 1: message of of like and I think that I don't

908
00:52:42,880 --> 00:52:50,279
Speaker 1: necessarily agree that the campaign isn't about like, hope and progress. Yeah.

909
00:52:50,440 --> 00:52:53,000
Speaker 1: I think that, Uh, the media has a big role

910
00:52:53,040 --> 00:52:55,440
Speaker 1: to play in the narrative that it's only negative and

911
00:52:55,480 --> 00:52:59,000
Speaker 1: mean and angry. Um. Like Joe Biden literally pokes voters

912
00:52:59,000 --> 00:53:01,120
Speaker 1: in the chest and says, go for somebody else. He

913
00:53:01,200 --> 00:53:05,560
Speaker 1: is a frustrated, angry man to um. But I think

914
00:53:05,600 --> 00:53:09,759
Speaker 1: that taking the message of positivity and unity uh and

915
00:53:09,920 --> 00:53:14,120
Speaker 1: love and hope forward uh fits perfectly in what the

916
00:53:14,160 --> 00:53:19,040
Speaker 1: actual actual policy is about. And um, I think that

917
00:53:19,160 --> 00:53:21,880
Speaker 1: we can take that and take the somber, the somber

918
00:53:22,040 --> 00:53:26,520
Speaker 1: sort of sobering day that was yesterday forward and uh

919
00:53:26,640 --> 00:53:29,920
Speaker 1: and energized as exactly that's the thing that Bernie's so

920
00:53:30,040 --> 00:53:33,160
Speaker 1: good at. The other thing that I um, I wanted

921
00:53:33,560 --> 00:53:37,040
Speaker 1: to give you guys to focus on money, No, I

922
00:53:37,080 --> 00:53:39,920
Speaker 1: don't have that. Um, we are still getting some of

923
00:53:39,960 --> 00:53:41,759
Speaker 1: that from Mike. We just got to report that people

924
00:53:41,760 --> 00:53:47,000
Speaker 1: are still doing his ad So um to give us

925
00:53:47,120 --> 00:53:51,640
Speaker 1: one million dollars Mike, and we'll give you one more delegates. UM.

926
00:53:52,200 --> 00:53:54,759
Speaker 1: I wanted to say it is something that I've said

927
00:53:54,840 --> 00:53:58,680
Speaker 1: several times before and and now I'll say it again.

928
00:53:59,080 --> 00:54:02,040
Speaker 1: Even if you're disappoint even a Biden gets the nomination.

929
00:54:02,440 --> 00:54:05,640
Speaker 1: But we have got to pour energy into is getting

930
00:54:05,640 --> 00:54:09,400
Speaker 1: progressive candidates elected to the Senate. And you can get

931
00:54:09,440 --> 00:54:12,759
Speaker 1: fired up and be inspired about that. The local level

932
00:54:12,880 --> 00:54:15,239
Speaker 1: is much more easy to affect in the course, the

933
00:54:15,280 --> 00:54:17,520
Speaker 1: Senate race is a hard thing. But but like even

934
00:54:17,560 --> 00:54:23,400
Speaker 1: in your communities, get the progressive d a elected, get

935
00:54:23,800 --> 00:54:26,360
Speaker 1: get the change the shape of city council. Run for

936
00:54:26,560 --> 00:54:30,520
Speaker 1: city council. Like like if you're dejected, use that because

937
00:54:30,560 --> 00:54:33,399
Speaker 1: it's it doesn't it's it's hard. It's hard to move

938
00:54:33,440 --> 00:54:36,280
Speaker 1: this big ship and to steer it into a different direction.

939
00:54:36,960 --> 00:54:39,960
Speaker 1: You can't stop. You just got to keep finding different

940
00:54:39,960 --> 00:54:43,000
Speaker 1: avenues to explore. And we will not get anything done

941
00:54:43,040 --> 00:54:46,759
Speaker 1: unless we flip the Senate. So learn from the example

942
00:54:46,800 --> 00:54:50,840
Speaker 1: of Bernard Sanders. When he saw John Fitzgerald Kennedy, he

943
00:54:50,880 --> 00:54:54,680
Speaker 1: didn't think there's no way I can impact politics. He

944
00:54:54,719 --> 00:54:57,080
Speaker 1: went out and he bought a man liquor carcano rifle,

945
00:54:57,200 --> 00:55:00,600
Speaker 1: and he made a difference not a good difference, but

946
00:55:00,640 --> 00:55:03,400
Speaker 1: a difference in a in a second. You know, we

947
00:55:03,480 --> 00:55:05,719
Speaker 1: work our entire lives to make a difference needed in

948
00:55:05,840 --> 00:55:09,160
Speaker 1: one second. Thank you for bringing this home so eloquently. Guys,

949
00:55:09,320 --> 00:55:13,440
Speaker 1: I'm highlighting the message I was trying to um. Do

950
00:55:13,520 --> 00:55:16,040
Speaker 1: you guys have other positive thoughts you want to leave

951
00:55:16,239 --> 00:55:18,640
Speaker 1: our friends with I just think it's good. It's fine.

952
00:55:18,719 --> 00:55:21,080
Speaker 1: You think this is great. I don't think it's great,

953
00:55:21,560 --> 00:55:24,879
Speaker 1: but I think it's fine. And I have nothing but

954
00:55:26,160 --> 00:55:30,879
Speaker 1: naive hope can still be friends with Bloomberg's daughter. It's

955
00:55:31,040 --> 00:55:35,839
Speaker 1: very nice and relieved. She in Bloomberg's daughter and the

956
00:55:35,880 --> 00:55:38,600
Speaker 1: Taliban can all hang out in that field. Beyond right

957
00:55:38,640 --> 00:55:44,959
Speaker 1: and wrong and share techniques for beheading women who don't

958
00:55:44,960 --> 00:55:49,319
Speaker 1: wear veils. Um, it's good, it's good times, it's great

959
00:55:49,640 --> 00:55:51,399
Speaker 1: for all of us. Was the best of time. Thank

960
00:55:51,440 --> 00:55:57,000
Speaker 1: you times. Thank you Avonka, Thank you Avonka, Thank you

961
00:55:57,040 --> 00:56:01,480
Speaker 1: Bernie's Rifle. Thank you Doc Brown, thank you a sponsor.

962
00:56:01,560 --> 00:56:04,040
Speaker 1: Thank you Joe Biden, who we now refer to as

963
00:56:04,120 --> 00:56:10,719
Speaker 1: Bernie Sanders. Yeah, um, Bernie too, it could work. Um alright, guys,

964
00:56:11,080 --> 00:56:14,560
Speaker 1: that's it for us this week. I think checks out

965
00:56:14,600 --> 00:56:19,320
Speaker 1: online at Worst Year pod on the Twitter and the Instagram,

966
00:56:19,600 --> 00:56:23,080
Speaker 1: and google our names to find out where we are individually.

967
00:56:23,120 --> 00:56:28,200
Speaker 1: Please follow me. Be nice, to be nice online? Everyone

968
00:56:30,560 --> 00:56:38,200
Speaker 1: one nicer online? N Yeah, you could be mean to me.

969
00:56:38,680 --> 00:56:42,279
Speaker 1: There's no I don't even care. I don't. But be

970
00:56:42,360 --> 00:56:46,000
Speaker 1: kind rewind rewind every it is should be. I see

971
00:56:46,200 --> 00:56:49,399
Speaker 1: much meaner to fascists and much nicer to people who

972
00:56:49,440 --> 00:56:56,160
Speaker 1: aren't here here. That's it. That's it, everyone, and a

973
00:56:56,239 --> 00:56:59,200
Speaker 1: happy New Year. You have a good week. Yeah, happy

974
00:56:59,360 --> 00:57:03,120
Speaker 1: week is tweeted every day by somebody. Um, and it's

975
00:57:03,120 --> 00:57:06,160
Speaker 1: six with me. It's very hard a podcast coda head coding.

976
00:57:06,320 --> 00:57:09,080
Speaker 1: Be brave enough to be kind, to be kind I

977
00:57:09,160 --> 00:57:15,719
Speaker 1: take it back. That was wonderful. Okay, the episodes over everything,

978
00:57:16,040 --> 00:57:23,560
Speaker 1: so dump it's again. I tried. Worst Year Ever is

979
00:57:23,560 --> 00:57:26,240
Speaker 1: a production of I heart Radio. For more podcasts from

980
00:57:26,240 --> 00:57:29,440
Speaker 1: my heart Radio, visit the i heart Radio app, Apple Podcasts,

981
00:57:29,520 --> 00:57:31,400
Speaker 1: or wherever you listen to your favorite shows.