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

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Speaker 1: Radio Welcome Together Everything, So don't don't soul, baby baby,

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Speaker 1: Welcome back to the Worst year Ever. Who do you?

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Speaker 1: Who do you who? That's my new catchphrase, Who do yea?

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Speaker 1: And mine? Baby? Um, guys, no, no, I am just

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Speaker 1: not acknowledging it. And what are you? What are you celebrating?

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Speaker 1: The great day and night that all I am yesterday

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Speaker 1: and today, I am celebrating the fact that I haven't

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Speaker 1: checked in on any of the Iowa caucus results, but

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Speaker 1: I am celebrating my assumption of the fact that everything

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Speaker 1: went perfectly. The d n C really nailed, as did

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Speaker 1: the Iowa Democratic Party what needed to happen, and everybody

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Speaker 1: is happy with the results. Now I'm going to take

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Speaker 1: a single sip of coffee and search Twitter. Um what

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Speaker 1: uh that was a fun bit. Well, let's just say, um,

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Speaker 1: this this tweet from the Democratic Party amazing. For three

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Speaker 1: years we've been preparing for the process that officially kicks

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Speaker 1: off tonight in Iowa. You have the Democratic presidential primary.

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Speaker 1: Beautiful and I hope you all have gathered by now

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Speaker 1: that today we are going to talk about the unmitigated

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Speaker 1: disaster that was the Iowa Caucus, the very first voting

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Speaker 1: event of the event that sets the tone. The whole

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Speaker 1: election ended in confusion, this organization, fears of tampering, and

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Speaker 1: as of yet still no official winner, although at the

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Speaker 1: time of this recording it does look like Pete one

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Speaker 1: and Bernie one the popular vote. No, it doesn't. It's

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Speaker 1: only a reporting right now, you know, I know. But

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Speaker 1: the narrative that we're being told at this point, my friends,

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Speaker 1: my dear friends, Katie, I love you and respect you,

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Speaker 1: and I think you make a good point that that

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Speaker 1: this is part of what sets the trend for the election.

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Speaker 1: But I do think that was a slightly incomplete statement,

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Speaker 1: because I think two things have set the trend for election.

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Speaker 1: One of them is that the right wing in this

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Speaker 1: country was able to organize north of heavily armed people

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Speaker 1: to march in a state capital in favor of political

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Speaker 1: belief that they hold. And at the same time, the

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Speaker 1: Democratic Party was unable to launch an app with millions

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Speaker 1: of dollars of investments behind it to track the votes

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Speaker 1: of a about a hundred thousand people. Yeah, yeah, that's

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Speaker 1: those two things are important. Both they're both important. Um.

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Speaker 1: I love living in metaphors last night. There was a

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Speaker 1: lot of speculation running around, some of which we partook

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Speaker 1: an uh, most likely what happened last night was your

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Speaker 1: run of the mill establishment incompetent, gross incompetent, gross incompetent, unbelievable,

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Speaker 1: almost unprecedented competent. It's it's pretty wild and we're going

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Speaker 1: to dig into all of that. Well, it's hard is

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Speaker 1: that no matter who wins at this point, if the

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Speaker 1: aliens versus predator situations, just everything's tainted now. It's it's

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Speaker 1: truly remarkable. And so this isn't this isn't quite the

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Speaker 1: conversation we expected to have today. We were preparing to

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Speaker 1: have a more normal conversation. So we're kind of putting

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Speaker 1: it all together at the last minute. But it'll be fun. Yeah.

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Speaker 1: We were like, well, we'll talk about like what caucuses are,

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Speaker 1: We'll talk about the results a little bit. I'll probably

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Speaker 1: be pretty boring, but that'll be that. And we're still

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Speaker 1: going to talk about caucuses a bit. But man, but

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Speaker 1: then what happened hopefully it's not boring. Um, yeah, before

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Speaker 1: we get into what happened last night, I do think

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Speaker 1: that we should discuss what caucuses are, how they work,

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Speaker 1: or how they should work, whether or not they work.

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Speaker 1: Before we talked about all that. Um, Like I said,

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Speaker 1: Iowa was the first caucus of the election cycle, and

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Speaker 1: a lot of people are asking why. It's a great

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Speaker 1: question why. Indeed, the answer is because I guess they

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Speaker 1: have a state law mandating that they be the first

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Speaker 1: caucus of the election cycle, and somehow their state law

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Speaker 1: is something we all honor. Yeah. Interesting quick note about

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Speaker 1: that being a state law. Another law in Iowa, it's

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Speaker 1: the only state with a lifetime voting band for anyone

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Speaker 1: ever convicted of a felony. Cool that awesome. Voting issues

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Speaker 1: in Iowa. Pretty Iowa. Think about people I don't want

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Speaker 1: to ever be able to vote. I think someone who

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Speaker 1: at one point had an ounce of merrill want to

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Speaker 1: in their car on the wrong guy. I Also, I'm

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Speaker 1: glad because once you do a thing and there's no

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Speaker 1: going back, and there's no no going back. Yeah, no

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Speaker 1: going back formative, you can't ever change. Um. Yeah, that goes.

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Speaker 1: That's all part of the conversation. Iowa is small and

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Speaker 1: it is predominantly white. Uh, it's not Iowa, I know

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Speaker 1: it's not. It's not really a reflection of the of

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Speaker 1: the general America, so at large, the voting demographic. Uh

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Speaker 1: and historically it has had a very outsized uh influence

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Speaker 1: on the election, especially well since two thousand, everybody that's

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Speaker 1: one the Democratic Iowa caucus has gone on to get

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Speaker 1: the actual nomination. How many of those people have won

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Speaker 1: the presidency one a one Al Gore, then Carry Obama

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Speaker 1: and Clinton. So you know, it's just interesting to note

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Speaker 1: that the one that one was the most progressive. It

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Speaker 1: is interesting Canada. Yeah, but you know, it's a big

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Speaker 1: question why does it have this It has the influence

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Speaker 1: because it's the first one, and so people leave Iowa

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Speaker 1: and they have a lot of momentum, and people who

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Speaker 1: are in second place also usually pick up a lot

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Speaker 1: of momentum uh and and and get a big bump

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Speaker 1: and donors. It's largely like narrative based like present this

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Speaker 1: like oh, we're going to do it, and then it Yeah,

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Speaker 1: but this time, seeing as it's already mired in controversy,

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Speaker 1: we're not really sure. We can't predict at this point

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Speaker 1: how uh this win for whomever it is will affect

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Speaker 1: them going forward. But anyway, I do want to say

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Speaker 1: real quick just because I think this bit of research

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Speaker 1: and it fits here. I was kind of curious, just

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Speaker 1: sort of like in the question that you started with,

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Speaker 1: Katie's like why Iowa, why do we let them do this?

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Speaker 1: And obviously they have a state law, so they're going

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Speaker 1: to do whatever it takes to be the first UM

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Speaker 1: I wanted. I was kind curious as to whether or

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Speaker 1: not there was like a financial incentive for this too,

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Speaker 1: like if it's like a huge industry in the state,

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Speaker 1: And well, not quite. I found a study that was

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Speaker 1: some college, I think and some college in Iowa did

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Speaker 1: that and it was back in two thousand seven, so

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Speaker 1: two eight, like so, um, it may be a little

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Speaker 1: bit out of date, but they found that Iowa perceived

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Speaker 1: just about four point four percent of all campaigns spending

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Speaker 1: UM by measured candidates UM and which is like more

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Speaker 1: or less in line with New Hampshire. Like they don't

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Speaker 1: get that much more money than New Hampshire. Um, they

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Speaker 1: do make you know, like seven million dollars in labor

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Speaker 1: um for the Caucuses and like a couple of hundred jobs. Um,

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Speaker 1: it's not an insignificant um amount of money or an

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Speaker 1: insignificant amount of jobs. But Iowa was state GDP is

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Speaker 1: a hundred and thirty billion dollars, or at least it

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Speaker 1: wasn't two thousand and seven. So, like, you know, even

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Speaker 1: though like the value of the couses is increached a bit,

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Speaker 1: you're talking about like one of the states annual domestic

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Speaker 1: product when you divide it by the fact that it's

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Speaker 1: every four years. Um. So it's not a huge economic

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Speaker 1: gain for the state. The study does notice that, um quote,

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Speaker 1: the Iowa caucuses do provide exposure that the state, it's

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Speaker 1: businesses and it's boosters would find very expensive to obtain

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Speaker 1: otherwise for free and for a time, the word Iowa

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Speaker 1: is used continuously a national and international mass media and

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Speaker 1: a continuous and often sensational coverage of the political campaign

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Speaker 1: and the communities of Iowa has to be, as the

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Speaker 1: ad says, priceless. That said, it's not a huge deal.

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Speaker 1: Like if you're looking for why Iowa is so fucking

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Speaker 1: helping to host the caucus, it's it's got to be

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Speaker 1: more than money, because there's just not I think it's

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Speaker 1: also not that big a factor tradition. It's the fact

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Speaker 1: that we've done this and we will do it. There's

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Speaker 1: a pride in it. I guess I do think that

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Speaker 1: the tourism industry or around the time of uh, the

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Speaker 1: the election, you know, you see a spike in hotels

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Speaker 1: being booked and all that. It definitely matters for some people,

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Speaker 1: for sure. But anyway, interesting about the coverage leading up

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Speaker 1: to it also because it's presented like this big, big thing. Um.

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Speaker 1: The coverage leading out to this caucus uh significantly lower

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Speaker 1: than it usually is. Um. It's like, I think, what

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Speaker 1: ten minutes of time spent talking about the Iowa caucus

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Speaker 1: compared to last year or last elections eighty six minutes? Um.

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Speaker 1: Just interesting. They downplay it. Certain certain things are positioned.

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Speaker 1: Maybe that's good. I don't know. Anyway, here's a very

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Speaker 1: basic rundown of the mechanics of the caucus. Thank you

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Speaker 1: New York Times for this little explainer for that. For

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Speaker 1: that's as far as my thank you extends. Thank you

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Speaker 1: very much, um uh, because I don't know about you guys,

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Speaker 1: but it's kind be using even knowing the basics of it.

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Speaker 1: You're like, what is happening right now? Well, especially last night? Anyway? Okay.

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Speaker 1: Number One, people go to a physical designated location like

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Speaker 1: a gym or library too. There are representatives of each

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Speaker 1: candidate in the location three, everyone walks up to that

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Speaker 1: candidate area to represent their support, just like little human

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Speaker 1: votes bouncing around a gym Uh yeah but ahead, finished Katie. Well,

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Speaker 1: just one of the things that's important about this is

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Speaker 1: that it takes multiple hours to be a part of this,

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Speaker 1: which is ye, we'll get yeah, well, well we have

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Speaker 1: all well yeah, number four. Everyone is counted. If one

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Speaker 1: of the groups represents at least fift of the people,

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Speaker 1: they are considered viable, and then there's around two people

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Speaker 1: in the non viable. Groups can now choose to do

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Speaker 1: several things. They can either join another group, walk around

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Speaker 1: and convince people to join their group, or move on

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Speaker 1: to an uncommitted group. The tally is once again counted,

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Speaker 1: and based on the numbers, each candidate is awarded delegates

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Speaker 1: based on how many supporters they have. Iowa has forty

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Speaker 1: one pledged delegates. Those delegates will then go to the

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Speaker 1: d n C and show support for the candidate they

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Speaker 1: were assigned two. All right, it's a little convoluted, but basically,

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Speaker 1: if your candidate does isn't viable, then you go move

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Speaker 1: on to your second choice candidate. And there's a lot

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Speaker 1: of opportunity for people to interact in mingle and and

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Speaker 1: have so short everything so dumb um and the year

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Speaker 1: well that's yeah, Well, don't worry. So what was different

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Speaker 1: about last night? You know, I might have heard that

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Speaker 1: there were some changes made this year. Uh, some of

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Speaker 1: the campaigns UH pushed for key changes to be made

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Speaker 1: to this caucus system, the biggest change being that there

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Speaker 1: will now be a popular vote winner as well as

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Speaker 1: an official winner, something that's never been done before. Um,

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Speaker 1: that's been thrown around a lot as one of the

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Speaker 1: reasons reporting last night was so messed up. But if

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Speaker 1: you think that's ridiculous, I've seen a lot of that, like, uh,

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Speaker 1: that claim of like we changed the rules for you

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Speaker 1: for you and it's your fault. Actually that is happening,

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Speaker 1: and that's just not true. It's just not true. Not

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Speaker 1: what happened. It's now you've described the system to me, Katie,

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Speaker 1: And one thing I just want to ask for clarification

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Speaker 1: on there's no chance that this system that is still

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Speaker 1: in critical part of determining who will run the country

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Speaker 1: and control a nuclear arsenal, This system was not by

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Speaker 1: chance developed by people who drank mercury when they got

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Speaker 1: the flu. Right, Oh, I mean, they can't speak to

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Speaker 1: that specifically, but it very well could have been. Sounds like,

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Speaker 1: is that what they did back then? Sounds I would

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Speaker 1: I be stupid if I said no. Um, it's just

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Speaker 1: such a bad idea. It's such a bad idea. UM.

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Speaker 1: So this is this is from USA today. For decades,

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Speaker 1: the winner of Iowa's caucuses has been decided by a

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Speaker 1: complicated system of state delicate equivalents, which operates kind of

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Speaker 1: like the electoral College. Unlike in the November presidential vote, though,

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Speaker 1: Iowa's tally of popular support was never released, but on

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Speaker 1: Monday night, the Iowa Democratic Party will publish the two

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Speaker 1: raw vote totals and the delegates numbers from caucus night.

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Speaker 1: I probably didn't need to read that quote exactly what.

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Speaker 1: It's just what I explained. Um. But this goes on

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Speaker 1: to talk a little bit more, uh about how this

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Speaker 1: changes everything but this new rule. But since uh, people

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Speaker 1: look to this as a way to boost generally boosts

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Speaker 1: one campaign and you're like, Okay, he seems like the

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Speaker 1: clear frontrunner. Now we've got a whole different set of

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Speaker 1: data to look at, and so it's it's totally different

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Speaker 1: ballgame this year. Because I like the whole, like we've

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Speaker 1: we've talked about like it's a narrative based thing. Mostly yeah,

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Speaker 1: that creates this perception of how it Canada is doing,

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Speaker 1: and like we've got momentum, okay, but who voted like

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Speaker 1: that first round, who got the most support in the

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Speaker 1: first round, that's important to know who got the most

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Speaker 1: votes as important to know like how did people switch over?

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Speaker 1: That's all important information. There's also this I'm sorry Cody's Um,

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Speaker 1: I was just gonna say that, Uh, that's important information

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Speaker 1: to know. And uh that having that rule change would

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Speaker 1: not make what happened last night happened had nothing to

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Speaker 1: do with it, and votes and records does not equal

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Speaker 1: the disaster that was right, that's a completely different situation.

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Speaker 1: Another kind of weird new rule that not everybody knows about,

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Speaker 1: I don't think, is if your first pick ends up

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Speaker 1: being viable, you're locked in and you can't move. And uh,

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Speaker 1: for people who are undecided, this is weird. So a

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Speaker 1: lot of people show up and they're like, Okay, I

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Speaker 1: guess I'll go here. But um, apparently a lot of

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Speaker 1: people didn't know about this new rule and found themselves

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Speaker 1: unexpectedly locked in when they weren't, do you know what

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Speaker 1: I mean? They were like, wait, wait a minute, wait

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Speaker 1: a minute, we don't get to do that thing that

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Speaker 1: we used to do. But I was going to switch

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Speaker 1: over maybe because I so that's interesting. I don't know

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Speaker 1: what percentage of that is. I've just seen people talking

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Speaker 1: about it. Don't kill me if don't kill me, guys.

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Speaker 1: I'm just I'm telling you what advice. Um. So, anyway,

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Speaker 1: we we've we've blown past some of these pros and cons,

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Speaker 1: and I think that we should talk about them, um

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Speaker 1: of this whole process. Um. And I'm gonna start with

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Speaker 1: the pros because there are way more cons um. I

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Speaker 1: mean when you watch it, especially last night. We're been

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Speaker 1: watching it, at least at the beginning, I was a

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Speaker 1: little bit jealous. I think it seems cool and fun

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Speaker 1: and and and you know, you're getting to interact with people.

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Speaker 1: It's an exciting environment. Feels like democracy and action. That's

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Speaker 1: what they keep telling you. Feels like it. And that's

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Speaker 1: why I want to stretch that. Yeah, there's an excitement.

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Speaker 1: They're like, I'm gonna convince you of this, and like

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Speaker 1: you give your impassioned speech, but actually going to change

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Speaker 1: your mind and that's that's what we view as like,

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Speaker 1: that's democracy, and there's something inspiring about seeing people working together, talking,

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Speaker 1: compromising and all of that stuff. And I've interacted with

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Speaker 1: a bunch of people that have been delegates there in

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Speaker 1: the past, and uh say, it's a really awesome experience. Also,

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Speaker 1: it also sorry, it also culminates in the results coming

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Speaker 1: out that night. So if you did do that, and

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Speaker 1: if you did work hard and you like hit the

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Speaker 1: ground and you want there's like there's a celebratory, like

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Speaker 1: communal sort of aspect of it, but there a lot

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Speaker 1: of people who worked hard were robbed of because it

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Speaker 1: was so frustrating, and it is I do suspect we

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Speaker 1: talked about going there ourselves, being at the Iowa Caucuses,

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Speaker 1: and I kind of suspect that if we've been we'd

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Speaker 1: been there, we would have in recorded the episode last night,

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Speaker 1: we might have had a more positive opinion of the caucuses.

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Speaker 1: I think this is one of those cases where actually

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Speaker 1: being there might have warped our perception more because I'm

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Speaker 1: sure it is emotionally positive to be involved with the

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Speaker 1: parts until you're at one am and you don't have

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Speaker 1: any information. Yeah, we're gonna get anyway back to the caucus.

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Speaker 1: The reality of it is that it is inherently flawed. Um,

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Speaker 1: I can see how this would have worked hundreds of

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Speaker 1: years ago, you know, but it doesn't make sense now,

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Speaker 1: like now we've got like apps and stuff that I mean,

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Speaker 1: we were seeing people last night literally flipping coins to

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Speaker 1: figure out which delegates going to get x amount of

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Speaker 1: you know, which candidate is going to get these delegates,

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Speaker 1: and that's unacceptable. Also, die Hard apparently die Hard supporters

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Speaker 1: were showing up without a second choice. And I'm sure

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Speaker 1: that this happens before in the past, but it really

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Speaker 1: happened last night and they simply left when their candidate

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Speaker 1: wasn't viable, and that kind of undermines the whole process. Also,

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Speaker 1: it's not anonymous. You're sitting there voting with your community.

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Speaker 1: Your boss is over there, and how does that not

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Speaker 1: affect people and into feeling pressured to make a decision.

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Speaker 1: I mean, there's an element of that that's positive though,

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Speaker 1: that since because it's not anonymous, you can go back

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Speaker 1: and objectively no, like, there's there's no chance of actually

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Speaker 1: getting the actual vote count wrong. Once they're are accounted,

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Speaker 1: you can you can check on and see who howeveryone voted.

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Speaker 1: So I I get that for this kind of an election,

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Speaker 1: I get it. There's cons to it. I get the

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Speaker 1: pros though, and totally. I mean I do too. I'm

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Speaker 1: just putting it out there that these are all the

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Speaker 1: different issues that make it a bit very complicated. Um,

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Speaker 1: there's also some joy I found with that element of

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Speaker 1: like because you're there, it's these people, like there's a

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Speaker 1: physicality to it there in the world, and you can

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Speaker 1: look at like, oh, here's Biden's one supporter against the wall,

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Speaker 1: and then you pan over and like Elizabeth Warren or

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Speaker 1: Bernie have like you know, the entire room is filled

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Speaker 1: with them, and that's there's just fun and pro or

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Speaker 1: con depending on who it is that's looking at them. Um.

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Speaker 1: Bernie does very well in a situation like this. He

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Speaker 1: turns up with a loud, very diverse crowd for him,

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Speaker 1: you know, really excited, enthusiastic, and that's contagious and this

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Speaker 1: is this is a good environment. Every Musli caucus and

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Speaker 1: Latino caucus. I saw that. Yeah, it's really cool. Um,

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Speaker 1: And I loved to see how many people there was

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Speaker 1: a lot obviously a lot of like Burnie number one,

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Speaker 1: War number two, and vice versa. Love that UM, but

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Speaker 1: perhaps the most important complaint against the whole gaucas system

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Speaker 1: is that it is inherently exclusionary to people who can't

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Speaker 1: take the time to mill around a gymnasium for hours

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Speaker 1: or you know, or people who are disabled, people who

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Speaker 1: are poor and can't take a time of work or

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Speaker 1: have children, you know, and other responsibilities. Although Warren did offer, uh,

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Speaker 1: take care. Also, I think they changed the time slightly,

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Speaker 1: like they extended them so that people like, yeah, there

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Speaker 1: are people who have jobs at work all the time.

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Speaker 1: They can't make it and they I think they extended

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Speaker 1: the hours a little bit so then they have to

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Speaker 1: go home and eat dinner and go to work the

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Speaker 1: next starning. It doesn't you're gonna do that on a Monday.

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Speaker 1: The UM. It's just it's a big problem. And so

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Speaker 1: we're looking we're going into many this election cycle wanting

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Speaker 1: to increase our voter turnout. Well, this isn't the way

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Speaker 1: to do it. You're just totally excluding a whole swath

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Speaker 1: of the population. And there was also talked about increasing

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Speaker 1: going to turn out. Also, there's all this talk last

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Speaker 1: night of how we were hoping to see numbers rise.

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Speaker 1: People more people showing up turns out that they match

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Speaker 1: those of which is good in a way. At least

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Speaker 1: there wasn't a drop. But we needed this blue wave.

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Speaker 1: Where's that blue wave that we think that we're going

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Speaker 1: to be relying on to beat Donald Trump? You know,

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Speaker 1: Bernie has it just about the same amount of people

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Speaker 1: so showing up for him as last time. Uh, it's

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Speaker 1: just it's a little bit it's a little bit uh demoralizing.

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Speaker 1: It's one of the many demoralizing things. And I think, yeah,

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Speaker 1: all the stuff we're talking about so far, go into

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Speaker 1: why that happened and why that is. Um, But also

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Speaker 1: what if um, what if we just had all the

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Speaker 1: states go on the same day and it was ranked

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Speaker 1: choice voting, and you go and you take a box right,

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Speaker 1: and that's how we vote. I'm all for the for

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Speaker 1: rank choice footing. I just well, like the same day too.

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Speaker 1: Like this idea of like dragging it out is actually

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Speaker 1: it's it's not baffling. I know why it's there. Everything

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Speaker 1: is stupid. Yeah, all right, we need to take a

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Speaker 1: real quick break and we're gonna come back. We're going

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Speaker 1: to talk about what the funk happened last night? Can

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Speaker 1: I swear that close to an ad Yeah, you fucking

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Speaker 1: advers fucking doing They're only they're they're all fucking products.

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Speaker 1: None of them are just products. These these products. Fuck,

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Speaker 1: it's the real ship, the fucking together everything don't and

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Speaker 1: we're back. We're gonna talk about whatever the funk happened

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Speaker 1: last night. But first an update. The New York Times

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Speaker 1: is now reporting that both Bernie and Pete have ten delegates,

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Speaker 1: each different than when we started. Is what a roller

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Speaker 1: coaster goodain. That sounds like victory for Pete. It sounds

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Speaker 1: like it is an outstanding victory, has a yellow highlight

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Speaker 1: and is at the time I don't understand by the way,

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Speaker 1: I one of the important stories is the the the online,

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Speaker 1: you know, social media games of each of these campaigns

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Speaker 1: and how good they are and how comprehensive they are.

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Speaker 1: And I want to note the Pete budaj is um

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Speaker 1: celebratory I won the Iowa Coccus post in which on

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Speaker 1: Twitter and which he says, thank you who of the

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Speaker 1: work we've done, the movement we build, we get to

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Speaker 1: turn the page and change the trajectory of our country.

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Speaker 1: I believe you will make me the next president of

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Speaker 1: the United States and I will do everything I can

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Speaker 1: to make you proud. That tweet has five point five

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Speaker 1: thousand likes and a hundred and eleven thousand views, which

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Speaker 1: is about a third of the views I got from

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Speaker 1: one of the random videos on my Twitter thread from

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Speaker 1: Richmond Wait views, I see. Yeah. I should also note

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Speaker 1: that his campaign has one point six million followers on Twitter,

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Speaker 1: which let's see how that compares to Bernie. I know

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Speaker 1: that that Bernie has ten point four million. Um, so

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Speaker 1: for some reference, Pete boudag Is Twitter is followed by

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Speaker 1: roughly a quarter of the number of people as Jeremy Renner,

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Speaker 1: who only posts on Twitter to brag about the fact

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Speaker 1: that he used to be friends with the other people

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Speaker 1: on the Avengers. Do you have any other comments about

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Speaker 1: Jeremy Renner? I have a lot, but I will not

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Speaker 1: Let's save them. Um. Let's talk about like I said,

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Speaker 1: let's talk about what happened last night. It was the app,

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Speaker 1: you guys, the app they've had, however long, a long

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Speaker 1: time to perfect and you think they would have perfected

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Speaker 1: it well, I mean right off the bat, just like

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Speaker 1: off the top of my head. Uh, don't use an app.

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Speaker 1: Don't use an app that one of the software developers

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Speaker 1: I follow yesterday said something along the lines of, speaking

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Speaker 1: as a software developer, please do not use software for anything, yeah,

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Speaker 1: which was be a good lesson for elections, and like,

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Speaker 1: you don't have to work in software to like come

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Speaker 1: to that conclusion either, likes not. Also, well, it's just

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Speaker 1: the whole thing is it's truly perplexing because they also

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Speaker 1: didn't have a good phone system in place or have

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Speaker 1: people trained on how to use it, I guess, so

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Speaker 1: they weren't able to either troubleshoot or report the problems

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Speaker 1: because they couldn't get through. There was that remarkable video

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Speaker 1: from CNN of being on They got this guy that

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Speaker 1: was on hold, that had been on hold for an

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Speaker 1: hour trying to report their numbers, and they came back.

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Speaker 1: They they they took his call while he was on air,

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Speaker 1: and by the time he went to answer them, they

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Speaker 1: hung up on him. It was the span of ten seconds. Yeah,

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Speaker 1: And there were a lot of people like they have

427
00:24:48,080 --> 00:24:51,000
Speaker 1: to like taking photos of the results and then texting

428
00:24:51,040 --> 00:24:53,320
Speaker 1: them to people who were like driving to other precincts.

429
00:24:53,359 --> 00:24:55,000
Speaker 1: Since it was just a whole mess. It's a mess.

430
00:24:55,400 --> 00:24:57,760
Speaker 1: It's just wild because we've been doing this a long time,

431
00:24:57,800 --> 00:25:00,879
Speaker 1: and we didn't have the app before. What did you do?

432
00:25:02,760 --> 00:25:06,159
Speaker 1: The app had just gotten developed in you know phones, Katie,

433
00:25:06,160 --> 00:25:08,679
Speaker 1: When did we invent? Was it last month that phones were?

434
00:25:09,440 --> 00:25:13,440
Speaker 1: Phones are pretty recent? They were like we want to

435
00:25:14,359 --> 00:25:16,720
Speaker 1: weren't there also reports of people that like, we're on

436
00:25:16,800 --> 00:25:19,600
Speaker 1: hold for like multiple hours? Oh yeah, yeah, oh yeah

437
00:25:19,720 --> 00:25:22,200
Speaker 1: didn't some guys say he wasn't able to get his

438
00:25:22,240 --> 00:25:26,400
Speaker 1: results in until three am. That's cool that that's if

439
00:25:26,480 --> 00:25:31,280
Speaker 1: that's the efficiency that we want from the first one. Um,

440
00:25:31,600 --> 00:25:36,639
Speaker 1: Like we said up top, it's difficult no matter what

441
00:25:36,760 --> 00:25:41,920
Speaker 1: the results, it's hard to trust after after after this debacle,

442
00:25:42,480 --> 00:25:44,879
Speaker 1: um and yeah, I mean I don't want to be

443
00:25:44,880 --> 00:25:47,840
Speaker 1: a conspiracy theorist, but it's hard to not with some

444
00:25:47,920 --> 00:25:49,920
Speaker 1: of this stuff that's circling. So I want Cody and

445
00:25:50,040 --> 00:25:52,080
Speaker 1: Robert to talk a little bit about what's going on

446
00:25:52,359 --> 00:25:55,240
Speaker 1: with the development mint of this app. Who were the

447
00:25:55,240 --> 00:25:58,480
Speaker 1: people behind this app? Because yeah, yeah, I mean the

448
00:25:58,480 --> 00:26:03,680
Speaker 1: worst case scenario is grossing competence. That points to like

449
00:26:05,200 --> 00:26:07,040
Speaker 1: it's the worst case, it's also the most likely. I

450
00:26:07,080 --> 00:26:09,440
Speaker 1: think that we need to make that clear. Yeah, I

451
00:26:09,640 --> 00:26:17,040
Speaker 1: just h yeah, I the longer I study Pete to

452
00:26:17,280 --> 00:26:23,119
Speaker 1: Paul Montgomery. The more convinced I convinced, I am that

453
00:26:23,160 --> 00:26:27,479
Speaker 1: there is nothing c I A shady about him, um,

454
00:26:27,520 --> 00:26:31,200
Speaker 1: but that there is a lot of good old fashioned

455
00:26:31,240 --> 00:26:34,560
Speaker 1: Democratic Party corruption behind him and his campaign, and a

456
00:26:34,600 --> 00:26:36,800
Speaker 1: lot of good old fashioned even more than that, a

457
00:26:36,800 --> 00:26:38,920
Speaker 1: lot of good old fashioned Democratic Party in competence. And

458
00:26:38,960 --> 00:26:40,960
Speaker 1: I'd like to give a specific example from before the

459
00:26:41,000 --> 00:26:44,520
Speaker 1: caucus in our episode, is Pete budda di Cia agent?

460
00:26:45,000 --> 00:26:47,840
Speaker 1: Which we came down with the answer being no, Which

461
00:26:47,840 --> 00:26:50,240
Speaker 1: we came down with the answer being now. We we

462
00:26:50,400 --> 00:26:53,920
Speaker 1: discussed the fact that he had hired a mercenary army

463
00:26:54,280 --> 00:26:57,320
Speaker 1: UM that normally deployed troops to places like a rap

464
00:26:57,359 --> 00:27:00,640
Speaker 1: and Iraq and Afghanistan to protect his campaign, even after

465
00:27:00,640 --> 00:27:02,560
Speaker 1: they said they had stopped doing that sort of work,

466
00:27:02,800 --> 00:27:05,000
Speaker 1: which we thought was shady and weird and is in

467
00:27:05,040 --> 00:27:07,600
Speaker 1: fact shady and weird. And I will give credit to

468
00:27:08,480 --> 00:27:10,640
Speaker 1: a reporter from the Daily Beast who did the deep

469
00:27:10,680 --> 00:27:15,399
Speaker 1: digging to reveal that this was not the case. Um, Yeah,

470
00:27:15,640 --> 00:27:18,280
Speaker 1: Scott Bigsby, this was not the case. He hired a

471
00:27:18,320 --> 00:27:22,640
Speaker 1: different uh company with the same name. And that might

472
00:27:22,680 --> 00:27:25,280
Speaker 1: make it seem like I just like I saw that

473
00:27:25,280 --> 00:27:27,119
Speaker 1: they were the same name. I did not. I checked

474
00:27:27,119 --> 00:27:30,359
Speaker 1: out the FEC filing. And the reason I said the

475
00:27:30,400 --> 00:27:34,840
Speaker 1: wrong thing is because the Pete Boutag campaign reported that

476
00:27:34,880 --> 00:27:37,960
Speaker 1: they had hired the company that is the Mercenary Army

477
00:27:38,240 --> 00:27:40,200
Speaker 1: with that name, as opposed to the company that is

478
00:27:40,240 --> 00:27:43,199
Speaker 1: a normal security firm, and going so far as listing

479
00:27:43,280 --> 00:27:46,960
Speaker 1: the location and the address of that company's like that

480
00:27:47,040 --> 00:27:50,120
Speaker 1: Mercenary Army's Virginia address as opposed to the New York

481
00:27:50,119 --> 00:27:52,880
Speaker 1: based company that they actually hired. And it's that sort

482
00:27:52,920 --> 00:27:55,760
Speaker 1: of ship. It's incompetence. It's hiring an intern who I'm

483
00:27:55,760 --> 00:27:59,080
Speaker 1: sure didn't actually like just googled the first company with

484
00:27:59,119 --> 00:28:01,480
Speaker 1: that name in didn't check to realize it wasn't the

485
00:28:01,480 --> 00:28:04,240
Speaker 1: one that his campaign had hired. Um like the first

486
00:28:04,320 --> 00:28:07,240
Speaker 1: the first Patriot group that came up. Like that sort

487
00:28:07,280 --> 00:28:12,160
Speaker 1: of incompetence is what is continuously generating conspiracies. And it's

488
00:28:12,200 --> 00:28:17,480
Speaker 1: the same kind of incompetence as when you, for example, UH,

489
00:28:17,840 --> 00:28:20,560
Speaker 1: hire people for your campaign who also work for this

490
00:28:20,600 --> 00:28:23,600
Speaker 1: company that is providing a poorly coated app for the

491
00:28:23,640 --> 00:28:26,159
Speaker 1: Iowa Democratic Party that will break on the night of

492
00:28:26,160 --> 00:28:31,280
Speaker 1: the election declaring victory before there. I think that most

493
00:28:31,280 --> 00:28:33,919
Speaker 1: people don't understand what that means. So let's explain that

494
00:28:33,960 --> 00:28:37,639
Speaker 1: what company are we talking about. We're talking about two

495
00:28:37,680 --> 00:28:41,400
Speaker 1: companies actually, but really one um. The company that we're

496
00:28:41,400 --> 00:28:44,800
Speaker 1: really talking about is Acronym. The company that is getting

497
00:28:44,840 --> 00:28:48,600
Speaker 1: the blame is called Shadow, and Shadow is a subsidiary

498
00:28:48,640 --> 00:28:54,120
Speaker 1: of Acronym. Acronym is a group that was formed in

499
00:28:54,280 --> 00:28:59,760
Speaker 1: order to basically help fix the d n c's social

500
00:28:59,800 --> 00:29:03,680
Speaker 1: media and like digital strategy and stuff. They they provide

501
00:29:03,680 --> 00:29:06,240
Speaker 1: a lot of different like like like like, so the

502
00:29:06,680 --> 00:29:08,600
Speaker 1: whole goal of the company is like improve the way

503
00:29:08,680 --> 00:29:12,000
Speaker 1: the Democratic Party works in the digital age. Shadow is

504
00:29:12,000 --> 00:29:15,240
Speaker 1: a subsidiary software company that made software that was supposed

505
00:29:15,280 --> 00:29:18,400
Speaker 1: to help with like organizing phone banks and stuff like that,

506
00:29:18,480 --> 00:29:20,920
Speaker 1: as well as providing this app. Yeah, as well as

507
00:29:20,920 --> 00:29:24,880
Speaker 1: providing this app for the Iowa caucuses that like tabulated

508
00:29:24,920 --> 00:29:29,600
Speaker 1: votes and ship um now right now, because shadows app

509
00:29:29,680 --> 00:29:33,160
Speaker 1: broke and they are currently the nation's whipping boy. Uh,

510
00:29:33,280 --> 00:29:38,320
Speaker 1: Acronym is making it very clear that Shadow is just invested,

511
00:29:38,520 --> 00:29:40,880
Speaker 1: that Acronym just invested in Shadow and trying to make

512
00:29:40,880 --> 00:29:42,560
Speaker 1: it look like this is just a company, we invested

513
00:29:42,560 --> 00:29:45,160
Speaker 1: some money and they fucked up and it's not our bad.

514
00:29:45,840 --> 00:29:50,800
Speaker 1: Kate NIBBs, reporter on Twitter, pointed out that Acronyms about

515
00:29:50,840 --> 00:29:53,560
Speaker 1: Page Today says we invested in Shadow, but if you

516
00:29:53,600 --> 00:29:55,560
Speaker 1: look at the way back machine from last month, they

517
00:29:55,600 --> 00:29:58,080
Speaker 1: say we launched Shadow and there's a bunch of ships

518
00:29:58,160 --> 00:30:02,720
Speaker 1: like that before of Acronym has tons of tweets about

519
00:30:02,760 --> 00:30:06,920
Speaker 1: launching the company. Yes, launching the company and specifically launching

520
00:30:06,920 --> 00:30:11,160
Speaker 1: this app. Acronym did this. There's evidence that like employees,

521
00:30:11,600 --> 00:30:15,400
Speaker 1: they share, they share offices in multiple states. Shadow employees

522
00:30:15,480 --> 00:30:19,280
Speaker 1: went to like Acronym company retreats and stuff. Any Shadow

523
00:30:19,320 --> 00:30:22,160
Speaker 1: was a part of Acronym, Acronym is the company at

524
00:30:22,200 --> 00:30:25,400
Speaker 1: blame like Shadow also, I guess, but like they're just

525
00:30:25,440 --> 00:30:28,880
Speaker 1: a chunk of this company. Yeah yeah, and must say

526
00:30:28,920 --> 00:30:35,720
Speaker 1: they're just Acronyms Shadow. Sorry, thank you. Um. Last night,

527
00:30:35,920 --> 00:30:38,800
Speaker 1: I want to touch on this real quick. Uh, there

528
00:30:38,880 --> 00:30:42,360
Speaker 1: was some stuff going around about how like, okay, so

529
00:30:42,560 --> 00:30:45,800
Speaker 1: the d n C, the you know, the Iowa Democratic

530
00:30:45,840 --> 00:30:50,400
Speaker 1: Party donated X amount of dollars in the Nevada to

531
00:30:50,160 --> 00:30:53,880
Speaker 1: the app, and at first it was just being reported

532
00:30:54,000 --> 00:31:01,360
Speaker 1: that Pete Buddha Judge also uh contributed to that about

533
00:31:01,400 --> 00:31:04,040
Speaker 1: a lot of money. And I think all of us,

534
00:31:04,080 --> 00:31:06,560
Speaker 1: I think this is just a really good example of

535
00:31:07,200 --> 00:31:10,040
Speaker 1: taking a beat while you wait to have all the information.

536
00:31:10,040 --> 00:31:14,160
Speaker 1: Because at the time that felt very alarming. Why it's

537
00:31:14,160 --> 00:31:17,560
Speaker 1: still not great, but why did Pete donate so much money?

538
00:31:17,560 --> 00:31:20,280
Speaker 1: Why is he talking like he's one when we don't

539
00:31:20,280 --> 00:31:22,920
Speaker 1: have any information. But then after sitting with it for

540
00:31:22,960 --> 00:31:25,280
Speaker 1: a little bit, we started to realize that other campaigns

541
00:31:25,440 --> 00:31:28,440
Speaker 1: also donated to the funding of this app. That is

542
00:31:28,480 --> 00:31:33,080
Speaker 1: the fair true statement. Um, I just and we just

543
00:31:33,080 --> 00:31:35,040
Speaker 1: talked about this in our little text threat about like

544
00:31:35,280 --> 00:31:38,400
Speaker 1: that's actually a really good example of Yeah, it still

545
00:31:38,400 --> 00:31:40,479
Speaker 1: doesn't look good, but you need we need to be

546
00:31:40,520 --> 00:31:43,920
Speaker 1: able to take in these situations and see the information

547
00:31:43,960 --> 00:31:46,680
Speaker 1: coming in. We don't really have a full picture of

548
00:31:46,720 --> 00:31:48,520
Speaker 1: what happened. I mean, we've got a picture, we've got

549
00:31:48,560 --> 00:31:50,920
Speaker 1: their explanation, but we're going to be getting more right.

550
00:31:51,040 --> 00:31:53,840
Speaker 1: And like I've seen a lot of tweets that are

551
00:31:54,040 --> 00:31:58,040
Speaker 1: that's say, like Pete funded the app, and that's not accurate.

552
00:31:58,760 --> 00:32:02,280
Speaker 1: I mean, it's ame way that like I've funded Walmart

553
00:32:02,360 --> 00:32:06,480
Speaker 1: because I've purchased products, like he his campaign did give

554
00:32:06,520 --> 00:32:11,800
Speaker 1: a bunch of money to the firm that made the app. Yes, yeah,

555
00:32:11,960 --> 00:32:19,800
Speaker 1: Biden gave once actually Jilla Brands campaign six payments leading

556
00:32:19,840 --> 00:32:23,960
Speaker 1: up to December very recently. But yeah, for varying reasons,

557
00:32:24,000 --> 00:32:27,840
Speaker 1: different different things for each campaign. Um. But the this

558
00:32:28,000 --> 00:32:31,080
Speaker 1: like he funded the app, he made the app is

559
00:32:31,120 --> 00:32:34,960
Speaker 1: sort of catching on and that's not accurate. And it's

560
00:32:34,960 --> 00:32:37,800
Speaker 1: frustrating because when you try to engage with people on

561
00:32:37,840 --> 00:32:40,360
Speaker 1: this online and bust this myth, it comes across as

562
00:32:40,400 --> 00:32:44,320
Speaker 1: if you're defending Pete boutagage, which has never been my goal, right, Um,

563
00:32:44,360 --> 00:32:48,120
Speaker 1: And it's eternally frustrating to me. Well, it's still extremely

564
00:32:48,120 --> 00:32:52,200
Speaker 1: shady stuff and like it's very even like his campaign.

565
00:32:52,800 --> 00:32:54,960
Speaker 1: There people that work on his campaign in high level

566
00:32:55,000 --> 00:32:58,400
Speaker 1: positions who are working to work in Shadow. Yeah, tell

567
00:32:58,480 --> 00:33:01,320
Speaker 1: us more about that. I mean, his one of his

568
00:33:01,600 --> 00:33:06,040
Speaker 1: senior advisers is married to the CEO of acronym Um,

569
00:33:06,320 --> 00:33:08,960
Speaker 1: who is a huge Pete fan by the way, Uh

570
00:33:09,160 --> 00:33:14,760
Speaker 1: she Pete standard. Yeah, she's she like a lot of

571
00:33:14,800 --> 00:33:17,040
Speaker 1: tweets about how great it is that pizza running when

572
00:33:17,080 --> 00:33:20,160
Speaker 1: he did his Exploratory Committee incidentally the same month that

573
00:33:20,200 --> 00:33:24,440
Speaker 1: Shadow was launched or whatever. Um. But they're just like

574
00:33:24,680 --> 00:33:29,200
Speaker 1: a lot of people who have worked or are working

575
00:33:29,320 --> 00:33:34,360
Speaker 1: on both things um and whether and like again, there's

576
00:33:34,400 --> 00:33:36,400
Speaker 1: like a fine line we're trying to steer clear of

577
00:33:36,440 --> 00:33:39,239
Speaker 1: conspiracy stuff, but also like I don't know, basic like

578
00:33:39,320 --> 00:33:43,440
Speaker 1: basic conflict of interest, like basic incompetence, basic like well,

579
00:33:43,440 --> 00:33:47,520
Speaker 1: maybe you shouldn't be doing that. There's some there's a

580
00:33:47,560 --> 00:33:50,840
Speaker 1: similarity between kind of the conspiracies that I'm seeing floated

581
00:33:50,880 --> 00:33:54,160
Speaker 1: around what happened yesterday in Iowa and the conspiracies I'm

582
00:33:54,160 --> 00:33:56,880
Speaker 1: seeing floated around the base that neo Nazi terrorist group.

583
00:33:56,960 --> 00:33:59,840
Speaker 1: And the similarity is that, like it's come out of

584
00:34:00,120 --> 00:34:02,000
Speaker 1: some great reporting by Jason Wilson that the guy who

585
00:34:02,040 --> 00:34:04,720
Speaker 1: founded this group is an American who lives in Russia,

586
00:34:04,960 --> 00:34:06,720
Speaker 1: which is of course gotten a bunch of people talking

587
00:34:06,720 --> 00:34:08,840
Speaker 1: to like Russias funding like the neo Nazi movement in

588
00:34:08,840 --> 00:34:11,440
Speaker 1: the United States. There behind all of these different fascist groups,

589
00:34:12,000 --> 00:34:14,439
Speaker 1: and everyone that I know who is an expert both

590
00:34:14,440 --> 00:34:17,000
Speaker 1: on sort of like Ukrainian and Russian fascist movements and

591
00:34:17,120 --> 00:34:20,520
Speaker 1: American fascist movement says, no, that's not the case. What's

592
00:34:20,560 --> 00:34:22,960
Speaker 1: happening is that all of these groups have affinity for

593
00:34:23,000 --> 00:34:25,120
Speaker 1: each other and shared interests and there's a lot of

594
00:34:25,160 --> 00:34:27,680
Speaker 1: interchange between them, and it makes sense that a guy

595
00:34:27,719 --> 00:34:30,000
Speaker 1: who was into this stuff would also be into a

596
00:34:30,000 --> 00:34:31,840
Speaker 1: lot like would move to Russia. There's a lot of

597
00:34:31,840 --> 00:34:34,239
Speaker 1: reasons for that. There's a lot of reasons these groups,

598
00:34:34,280 --> 00:34:36,720
Speaker 1: like most of these guys, these members of Adam Waffin

599
00:34:36,760 --> 00:34:38,920
Speaker 1: in the base, expressed an interest in as Off Battalion,

600
00:34:38,960 --> 00:34:41,799
Speaker 1: this Ukrainian fascist group ahead of time. And it's like

601
00:34:42,239 --> 00:34:44,480
Speaker 1: it's shady and it's a problem and it's important, but

602
00:34:44,520 --> 00:34:47,040
Speaker 1: not for the reason people are stating. And the fact

603
00:34:47,040 --> 00:34:51,080
Speaker 1: that Shadow has a bunch of former Hillary people, the

604
00:34:51,120 --> 00:34:54,600
Speaker 1: fact that Shadow and uh Acronym have a bunch of

605
00:34:54,640 --> 00:34:57,560
Speaker 1: people who are sympathetic and how closely related to people

606
00:34:57,560 --> 00:35:00,920
Speaker 1: who are in the Buddhajist campaign is shady in a problem,

607
00:35:00,960 --> 00:35:04,760
Speaker 1: but not because Pete Boudage is engaging in some illegal conspiracy,

608
00:35:04,920 --> 00:35:07,480
Speaker 1: but because they all are the same kinds of people

609
00:35:07,520 --> 00:35:09,880
Speaker 1: who believe the same kinds of things and happen to

610
00:35:09,960 --> 00:35:11,960
Speaker 1: be the same kinds of folks who wind up steering

611
00:35:11,960 --> 00:35:16,320
Speaker 1: the Democratic Party and like like that's that's the problem.

612
00:35:16,440 --> 00:35:21,240
Speaker 1: It's not. They're not breaking the law, they're not orchestrating anything.

613
00:35:21,560 --> 00:35:24,800
Speaker 1: They're not smart enough to orchestrate anything, as this ship

614
00:35:24,840 --> 00:35:28,360
Speaker 1: shows shows. Um, I I that that's what I see

615
00:35:28,400 --> 00:35:32,280
Speaker 1: as what's actually happening here, right, It's yeah, it's common,

616
00:35:32,360 --> 00:35:36,879
Speaker 1: it's common interests. It's like because it's like okay, yeah,

617
00:35:37,160 --> 00:35:38,960
Speaker 1: like a like a lot of conspiracies of like, oh,

618
00:35:39,000 --> 00:35:40,799
Speaker 1: they're doing this, like these backroom deals. You don't need

619
00:35:40,840 --> 00:35:43,080
Speaker 1: like backroom deals. It's like, no, you if you do this,

620
00:35:43,120 --> 00:35:45,319
Speaker 1: I make money and you make money. Right. We tend

621
00:35:45,360 --> 00:35:49,200
Speaker 1: to sensationalize something it doesn't need be sensationalized. It's bad.

622
00:35:50,120 --> 00:35:53,840
Speaker 1: There's a reason to have regardless, Yeah, it's like not

623
00:35:53,880 --> 00:35:56,080
Speaker 1: great to look at. Okay, the CEO, the CTO, the

624
00:35:56,120 --> 00:35:59,200
Speaker 1: CEO of Shadow, all of them were like high level

625
00:35:59,640 --> 00:36:04,439
Speaker 1: figure and Hillary campaign, okay, but this scenario that people

626
00:36:04,440 --> 00:36:07,080
Speaker 1: are put forth, it just equals like, well, yeah, that's

627
00:36:07,120 --> 00:36:10,799
Speaker 1: like the rot. And I do think like one of

628
00:36:10,800 --> 00:36:12,840
Speaker 1: the important things to point out is that, like, because

629
00:36:12,840 --> 00:36:15,560
Speaker 1: I keep seeing that focused on in discussions online, is

630
00:36:15,600 --> 00:36:18,239
Speaker 1: that all these people worked for Hillary before, and like, yes,

631
00:36:18,239 --> 00:36:19,839
Speaker 1: this is part of a problem, but it's also they

632
00:36:19,880 --> 00:36:22,240
Speaker 1: also most a lot of them worked for Obama before

633
00:36:24,520 --> 00:36:27,759
Speaker 1: their old d n C hacks. Like that's that and

634
00:36:27,840 --> 00:36:31,279
Speaker 1: that is the problem, Um, but it's not. It's less

635
00:36:31,280 --> 00:36:34,120
Speaker 1: that they're organstrating a conspiracy, and more that the kind

636
00:36:34,120 --> 00:36:36,000
Speaker 1: of people who wind up at high positions in their

637
00:36:36,080 --> 00:36:38,160
Speaker 1: d n C and the sort of companies that are

638
00:36:38,160 --> 00:36:41,120
Speaker 1: funded entirely by d NC donors are all going to

639
00:36:41,160 --> 00:36:43,279
Speaker 1: believe in want some of the same things because the

640
00:36:43,520 --> 00:36:46,720
Speaker 1: same basic people. Yeah, there's all this like uh meritocracy,

641
00:36:46,760 --> 00:36:50,440
Speaker 1: like technocratic nonsense that leads to things like this. It's like, okay,

642
00:36:50,440 --> 00:36:52,759
Speaker 1: well your worldview is wrong and that's what has got

643
00:36:52,840 --> 00:36:55,960
Speaker 1: us well. And all this is to say to me,

644
00:36:56,600 --> 00:37:00,919
Speaker 1: break background to this caucus. So it doesn't look good. Okay,

645
00:37:01,120 --> 00:37:07,320
Speaker 1: Biden didn't do well. He's obviously an establishment strong fourth

646
00:37:07,560 --> 00:37:10,560
Speaker 1: strong fourth was a very funny tweet of yours, um

647
00:37:10,600 --> 00:37:16,680
Speaker 1: and almost the last finger on my unbelievable Buddha judges another.

648
00:37:17,000 --> 00:37:21,360
Speaker 1: Obviously we're looking at here, all this information here establishment

649
00:37:22,000 --> 00:37:24,880
Speaker 1: person and you know it's so all of his connections

650
00:37:24,880 --> 00:37:28,960
Speaker 1: to this app that went that went haywire. Bernie is

651
00:37:29,560 --> 00:37:33,880
Speaker 1: very clearly leading the popular vote here in its bizarre

652
00:37:34,120 --> 00:37:36,360
Speaker 1: This is what I mean, this is like the worst,

653
00:37:36,440 --> 00:37:39,719
Speaker 1: most toxic way for us to have started this election. Yeah,

654
00:37:39,760 --> 00:37:43,279
Speaker 1: you know who very vocally believes that the popular vote

655
00:37:43,320 --> 00:37:46,759
Speaker 1: matters the most most people who vote, is that what

656
00:37:46,840 --> 00:37:52,400
Speaker 1: should elect the person who Buddha judge. According to his

657
00:37:52,480 --> 00:37:54,560
Speaker 1: essays and according to a lot of quotes that he

658
00:37:54,560 --> 00:37:59,080
Speaker 1: has said in the past few months on Camera Wild

659
00:37:58,760 --> 00:38:03,840
Speaker 1: and it's it's I think, um, there's too much focus

660
00:38:03,880 --> 00:38:06,759
Speaker 1: on like what might be happening behind closed doors and

661
00:38:06,800 --> 00:38:10,320
Speaker 1: what we know, which is that because so many buddages people.

662
00:38:10,960 --> 00:38:12,719
Speaker 1: I thought acronym was a good idea. I thought it

663
00:38:12,719 --> 00:38:14,759
Speaker 1: was worth putting money into, thought their products were worth

664
00:38:14,760 --> 00:38:18,640
Speaker 1: putting money into. They made the same mistake everyone else

665
00:38:18,640 --> 00:38:20,239
Speaker 1: in the d n C made, and it proved to

666
00:38:20,280 --> 00:38:22,560
Speaker 1: be a bad choice because of everything that happened in Iowa,

667
00:38:22,560 --> 00:38:24,120
Speaker 1: because it was a cluster fuck in. This company is

668
00:38:24,160 --> 00:38:27,520
Speaker 1: bad at what they do. Whereas the Sanders campaign very

669
00:38:27,520 --> 00:38:30,440
Speaker 1: made a very pointed decision not to invest in that,

670
00:38:30,680 --> 00:38:32,600
Speaker 1: not to put not invest, but not to buy services

671
00:38:32,600 --> 00:38:34,239
Speaker 1: from that company because they were like, no, this looks

672
00:38:34,239 --> 00:38:36,919
Speaker 1: like garbage, and it is garbage, which we'll talk about more,

673
00:38:37,000 --> 00:38:39,200
Speaker 1: but like this is like, I think the problem that

674
00:38:39,239 --> 00:38:41,840
Speaker 1: we we miss when we get into conspiracy stuff is

675
00:38:41,880 --> 00:38:44,400
Speaker 1: like I don't think the problem is a conspiracy. I

676
00:38:44,400 --> 00:38:47,080
Speaker 1: think the problem is incompetence, and it is not everyone

677
00:38:47,280 --> 00:38:50,400
Speaker 1: in this campaign, in this race, who is incompetent. It's

678
00:38:50,440 --> 00:38:55,080
Speaker 1: specific people. Yeah. UM on that point, I'm just gonna

679
00:38:55,239 --> 00:39:00,200
Speaker 1: real quick say, uh. The group's top donor for this

680
00:39:00,360 --> 00:39:04,279
Speaker 1: this Acronym uh Seth Klarman. He's a billionaire. He's a

681
00:39:04,320 --> 00:39:09,560
Speaker 1: former GOP mega donor. He's a CEO of about Post group.

682
00:39:09,800 --> 00:39:13,799
Speaker 1: It's a Boston based hedge fund. UM invests heavily in

683
00:39:14,080 --> 00:39:16,920
Speaker 1: liquid natural gas companies. Um. He gave them one point

684
00:39:16,960 --> 00:39:22,360
Speaker 1: five million dollars about a month ago. Now, natural gas,

685
00:39:22,440 --> 00:39:25,719
Speaker 1: that means it makes trees. Natural is good, Natural is good,

686
00:39:26,280 --> 00:39:32,680
Speaker 1: It means natural beautiful. He runs a fart company, so

687
00:39:33,440 --> 00:39:38,120
Speaker 1: get that fart money. Also, I have to note there's

688
00:39:38,160 --> 00:39:40,839
Speaker 1: an amazing article The Outline. People ask all the time,

689
00:39:40,840 --> 00:39:42,919
Speaker 1: who should you be reading for news? The Outlines fucking

690
00:39:43,000 --> 00:39:45,120
Speaker 1: killing it this year, and they came out with within

691
00:39:45,280 --> 00:39:49,080
Speaker 1: hours of this clusterfucking incredible article based on insider interviews

692
00:39:49,120 --> 00:39:53,120
Speaker 1: about acronym Um, the company behind the top and one

693
00:39:53,120 --> 00:39:58,360
Speaker 1: of the yeah behind Shadow. The co founders of acronym

694
00:39:58,440 --> 00:40:03,000
Speaker 1: are a guy with the last name of McGowan and

695
00:40:03,280 --> 00:40:06,440
Speaker 1: Michael Dubin, and Michael Dubin is the founder of the

696
00:40:06,480 --> 00:40:17,279
Speaker 1: Dollars Shave Club. Okay, cancel your subscriptions, guys, responsor for

697
00:40:17,400 --> 00:40:20,359
Speaker 1: us then keep it okay, Yes, so the other person

698
00:40:20,440 --> 00:40:23,360
Speaker 1: is Tara McGowan then, and yeah, Tara McGowan. She's the

699
00:40:23,360 --> 00:40:29,520
Speaker 1: wife of one of Pete's top adviser. Yes, yes she is. Alright, guys,

700
00:40:29,520 --> 00:40:31,680
Speaker 1: we're gonna take another quick break and then we're going

701
00:40:31,719 --> 00:40:34,839
Speaker 1: to come back to talk more about this stuff because

702
00:40:34,840 --> 00:40:37,080
Speaker 1: apparently you guys have more information to share with us,

703
00:40:37,080 --> 00:40:40,439
Speaker 1: and we're very interested. Oh my god, there's so much

704
00:40:40,480 --> 00:40:54,520
Speaker 1: more to say together everything, don't don't. Okay, we are

705
00:40:54,600 --> 00:40:59,560
Speaker 1: back from that to talk more about we are Shadowy

706
00:40:59,680 --> 00:41:05,839
Speaker 1: Figure years and the acronyms of Shadowy figures. Yeah, so,

707
00:41:06,040 --> 00:41:08,640
Speaker 1: uh get to We'll get to Robert, You've got way

708
00:41:08,640 --> 00:41:12,799
Speaker 1: more to say about acronym I've probably got some real

709
00:41:12,880 --> 00:41:14,400
Speaker 1: quick We just want to think what we wanted to

710
00:41:14,440 --> 00:41:18,680
Speaker 1: comment on the name shadow Um, because my god, what

711
00:41:18,719 --> 00:41:24,160
Speaker 1: are you doing? It is unbelievable. Who wrote this movie

712
00:41:24,239 --> 00:41:25,960
Speaker 1: that we're all living in. We want to put out

713
00:41:26,280 --> 00:41:30,279
Speaker 1: what's the most evil sounding company name? It's wild that

714
00:41:30,400 --> 00:41:33,439
Speaker 1: they did this. Um, and I'm just gonna read really

715
00:41:33,520 --> 00:41:39,000
Speaker 1: quick on their website. Uh, they're about page why shadow

716
00:41:40,200 --> 00:41:43,480
Speaker 1: When a light is shining, shadows are a constant companion.

717
00:41:43,880 --> 00:41:46,839
Speaker 1: We see ourselves as building a long term side by

718
00:41:46,920 --> 00:41:51,440
Speaker 1: side shadow of tech infrastructure to the Democratic Party and

719
00:41:51,440 --> 00:41:54,960
Speaker 1: the progressive community at large. So like they kind of know,

720
00:41:55,480 --> 00:41:58,520
Speaker 1: they're like, hey, hey, Mitch, what was one of Was

721
00:41:58,560 --> 00:42:00,919
Speaker 1: there some sort of problem in twenty sixteen with people

722
00:42:01,000 --> 00:42:04,560
Speaker 1: viewing the Democratic Party's chief candidate is like shady to

723
00:42:04,719 --> 00:42:06,759
Speaker 1: people call her shady a lot? Was that like a

724
00:42:06,800 --> 00:42:10,440
Speaker 1: big issue we had? Oh yeah, it sure was. What

725
00:42:10,440 --> 00:42:13,040
Speaker 1: should we name the company that runs our online efforts?

726
00:42:13,160 --> 00:42:17,920
Speaker 1: I'm thinking Shadow, Corrupt the corrupt or the app, corrupt

727
00:42:18,040 --> 00:42:23,880
Speaker 1: con corrupt con the dot net. No no, but also, uh,

728
00:42:24,200 --> 00:42:26,399
Speaker 1: make sure you download it now because there are only

729
00:42:26,880 --> 00:42:30,960
Speaker 1: you only get two D downloads for the app. The

730
00:42:31,000 --> 00:42:32,880
Speaker 1: way they rolled out the app is very, very embarrassing.

731
00:42:32,920 --> 00:42:35,279
Speaker 1: That's why I'm a real good I want to hear

732
00:42:35,320 --> 00:42:41,120
Speaker 1: more about Acronym. Robert So Acronym is a dumb company

733
00:42:41,120 --> 00:42:44,680
Speaker 1: that should never have been formed. Um, this is this

734
00:42:44,760 --> 00:42:46,800
Speaker 1: is the key of it. It was launched ahead of

735
00:42:47,560 --> 00:42:51,040
Speaker 1: mid terms It was described as a digital first startup

736
00:42:51,360 --> 00:42:56,200
Speaker 1: UM and like the goal of acronym was to quote

737
00:42:56,440 --> 00:42:58,840
Speaker 1: uh with the goal of the acronym was like to

738
00:42:58,840 --> 00:43:01,680
Speaker 1: to to raise a load of money UM seventy five

739
00:43:01,680 --> 00:43:04,800
Speaker 1: million dollars initially and deployed that money on anti Trump

740
00:43:04,840 --> 00:43:09,000
Speaker 1: advertising in five key battleground states in the election, those

741
00:43:09,000 --> 00:43:14,280
Speaker 1: states being North Carolina, Pennsylvania, Michigan, Wisconsin, in Arizona. This effort,

742
00:43:14,320 --> 00:43:16,359
Speaker 1: the strategy do you want to know what its name

743
00:43:16,400 --> 00:43:22,040
Speaker 1: is called? Kind of four is enough? The logic is

744
00:43:22,080 --> 00:43:23,839
Speaker 1: that these four states are the only ones you need

745
00:43:23,880 --> 00:43:28,920
Speaker 1: to win to win the election. You gotta love not

746
00:43:29,040 --> 00:43:33,520
Speaker 1: making the exact same motherfucking mistakes plenty. I'm sorry, but

747
00:43:33,600 --> 00:43:38,200
Speaker 1: they don't have an acronym for that f I E five.

748
00:43:38,360 --> 00:43:45,520
Speaker 1: They call it five. Fie on you fi on us.

749
00:43:48,400 --> 00:43:52,440
Speaker 1: We are not elitist to discard tens of millions of Americans.

750
00:43:52,440 --> 00:43:55,520
Speaker 1: It's like enough, Like you're like, you start a campaign,

751
00:43:55,560 --> 00:43:59,840
Speaker 1: your slogans just like come on, come on, kind of

752
00:43:59,880 --> 00:44:04,960
Speaker 1: like give us another ring Pete Buddha judge plenty yeah,

753
00:44:05,160 --> 00:44:10,360
Speaker 1: please continue, Robert so Uh. In November of twenty nineteen, UM,

754
00:44:10,360 --> 00:44:13,680
Speaker 1: it was revealed that acronym UH and Pacronym It's political

755
00:44:13,719 --> 00:44:17,759
Speaker 1: action committee, which actually pretty great name. If you're accompanying you,

756
00:44:19,360 --> 00:44:21,360
Speaker 1: I I would have made the same call had I

757
00:44:21,440 --> 00:44:25,760
Speaker 1: launched a company named Acronym. UM had raised of that

758
00:44:25,760 --> 00:44:30,360
Speaker 1: that plan seventy five million. Um. Now, so this is

759
00:44:30,360 --> 00:44:33,359
Speaker 1: where the money, that's where the fart money went. They

760
00:44:33,400 --> 00:44:39,000
Speaker 1: want to compete with the Tramp campaign's massive social media campaign.

761
00:44:39,120 --> 00:44:42,520
Speaker 1: It's massive like digital ground game, which the Trump campaign

762
00:44:42,520 --> 00:44:44,680
Speaker 1: has spent more than anyone has on Facebook ads. And

763
00:44:44,680 --> 00:44:46,680
Speaker 1: it's not even fucking closed. It's spent more than anyone

764
00:44:46,680 --> 00:44:50,160
Speaker 1: on digital ads. It's not even close. Um. So on

765
00:44:50,160 --> 00:44:52,279
Speaker 1: its surface, there's some reasoning that like, oh yeah, the

766
00:44:52,280 --> 00:44:54,520
Speaker 1: Democrats need a fucking counter to that. There should be

767
00:44:54,560 --> 00:44:58,080
Speaker 1: an organized group for the Democratic Party working on this. However,

768
00:44:58,440 --> 00:45:00,680
Speaker 1: all of the evidence from inside acro him suggest they

769
00:45:00,680 --> 00:45:03,839
Speaker 1: were terrible at it. Um. The Outline got quotes from

770
00:45:04,040 --> 00:45:07,120
Speaker 1: UH Acronym employees, one of whom noted they call it

771
00:45:07,160 --> 00:45:09,759
Speaker 1: a startup environment as the explanation for when no one

772
00:45:09,840 --> 00:45:15,960
Speaker 1: knows what's happening. Um. Yeah, yeah, And I've found some evidence,

773
00:45:16,040 --> 00:45:20,840
Speaker 1: some examples of the incredible adds that Acronym has been

774
00:45:20,920 --> 00:45:27,320
Speaker 1: running on Facebook. UM add number one, who will the

775
00:45:27,360 --> 00:45:30,560
Speaker 1: Democrats choose to take on the Night King? You decide

776
00:45:30,600 --> 00:45:33,719
Speaker 1: to sign up to play the hashtag Game of Elections

777
00:45:34,080 --> 00:45:37,319
Speaker 1: hashtag for the Throne, and then the two pictures are

778
00:45:37,680 --> 00:45:41,480
Speaker 1: Elizabeth Warren photo shopped on a Game of Thrones on

779
00:45:41,520 --> 00:45:45,000
Speaker 1: the Iron Throne and Pete Boodagage photoshopped on the Iron

780
00:45:45,040 --> 00:45:50,400
Speaker 1: Throne timely really hitting into that and again, yeah, hitting

781
00:45:50,440 --> 00:45:54,600
Speaker 1: into that fucking show everybody loves. I mean it was

782
00:45:54,680 --> 00:45:59,560
Speaker 1: April of nineteen, so it was fresher but still dumb.

783
00:46:00,000 --> 00:46:06,720
Speaker 1: Oh my god, dumb. Yeah. Another example of acronym ads

784
00:46:06,880 --> 00:46:10,880
Speaker 1: from March of two thousand nineteen, the Democrats running for

785
00:46:10,920 --> 00:46:13,560
Speaker 1: president or trying to distinguish themselves and televised town halls,

786
00:46:13,560 --> 00:46:16,600
Speaker 1: policy proposals, and even graphic t s emog of a

787
00:46:16,600 --> 00:46:20,160
Speaker 1: pink T shirt and this week's hashtag f w I

788
00:46:20,440 --> 00:46:23,640
Speaker 1: w WE took a dive into the world of presidential

789
00:46:23,680 --> 00:46:26,360
Speaker 1: merch stores and the strategy behind them. So, for what

790
00:46:26,440 --> 00:46:28,960
Speaker 1: it's worth, is like their average ad and their name

791
00:46:29,000 --> 00:46:31,160
Speaker 1: of this March one was the IDEs of March, which

792
00:46:31,200 --> 00:46:36,560
Speaker 1: is good, so it's like what. Yeah. They also launched

793
00:46:36,600 --> 00:46:40,080
Speaker 1: a news app UM let me find the fucking yeah,

794
00:46:40,520 --> 00:46:44,360
Speaker 1: and it's just like real quick about the merch store stuff.

795
00:46:44,880 --> 00:46:48,320
Speaker 1: Uh launched his store before he launched his website with

796
00:46:48,360 --> 00:46:51,560
Speaker 1: a platform. He sure did, He sure did. I wonder

797
00:46:51,560 --> 00:46:55,160
Speaker 1: what if that's telling about Mr Pete So. One of

798
00:46:55,200 --> 00:46:59,680
Speaker 1: the key projects launched by acronym Um was called Courier Newsroom,

799
00:46:59,760 --> 00:47:02,719
Speaker 1: a inter left content network designed to mimic the aesthetics

800
00:47:02,719 --> 00:47:06,680
Speaker 1: of local news sites UM, which McGowan cheerfully spun as

801
00:47:06,680 --> 00:47:11,040
Speaker 1: a replacement for actual local news UM. Now, have you

802
00:47:11,040 --> 00:47:16,200
Speaker 1: guys seen a lot of Courier news Room links shared? No,

803
00:47:16,440 --> 00:47:19,000
Speaker 1: I don't think so. I can't speak to that because

804
00:47:19,040 --> 00:47:21,520
Speaker 1: it was a massive failure of an idea. What a

805
00:47:21,560 --> 00:47:24,520
Speaker 1: bad idea. It's like, what if we destroy the credibility

806
00:47:24,560 --> 00:47:26,919
Speaker 1: of local news even more? The thing we don't need,

807
00:47:26,960 --> 00:47:30,719
Speaker 1: a thing that's bad is that how we fight Trump? Believable?

808
00:47:32,680 --> 00:47:36,600
Speaker 1: I so and again in sort of response to like

809
00:47:36,640 --> 00:47:38,480
Speaker 1: the ideas that this is kind of some like sinister

810
00:47:38,560 --> 00:47:40,440
Speaker 1: ci a conspiracy. One of the people who want to

811
00:47:40,520 --> 00:47:43,040
Speaker 1: quote here is is Karnik Ganapati, who is the co

812
00:47:43,120 --> 00:47:47,040
Speaker 1: founder of the democratic messaging firm m v EMT Communications

813
00:47:47,280 --> 00:47:50,360
Speaker 1: and Ganapati's partner is a senior advisor to Bernie Sanders,

814
00:47:50,360 --> 00:47:52,360
Speaker 1: although Ganapati is not a part of the campaign. But

815
00:47:52,400 --> 00:47:54,000
Speaker 1: that's kind of like the angle he's coming at this.

816
00:47:54,040 --> 00:47:55,960
Speaker 1: He's kind of from the left side of the Democratic Party.

817
00:47:56,200 --> 00:47:58,440
Speaker 1: His associates are, so he's he's on the more on

818
00:47:58,480 --> 00:48:01,760
Speaker 1: the Sanders side of things. And his sort of summary

819
00:48:01,800 --> 00:48:04,439
Speaker 1: of the whole situation with Outline and Shadow is there's

820
00:48:04,480 --> 00:48:06,879
Speaker 1: such a pervasive culture of self dealing when it comes

821
00:48:06,920 --> 00:48:09,480
Speaker 1: to consultants and party committees and stuff. And we have

822
00:48:09,520 --> 00:48:11,719
Speaker 1: a situation where a party whereas a party, if we

823
00:48:11,760 --> 00:48:13,279
Speaker 1: are the good guys, we have to be the good

824
00:48:13,280 --> 00:48:15,880
Speaker 1: guys not engaging in this. There's a reason why so

825
00:48:15,880 --> 00:48:18,160
Speaker 1: many Americans think politics is an Elita's plot to make

826
00:48:18,160 --> 00:48:20,920
Speaker 1: a handful of people wealthier. And it's kind of true.

827
00:48:21,440 --> 00:48:25,759
Speaker 1: And I mean, that's that's the issue, that's what's happening here. Yeah,

828
00:48:25,760 --> 00:48:28,960
Speaker 1: even the idea of like this like for profit, like

829
00:48:29,000 --> 00:48:31,799
Speaker 1: this private company making this app and getting all this

830
00:48:31,920 --> 00:48:35,279
Speaker 1: money to do this for a public service, like that's

831
00:48:35,320 --> 00:48:40,080
Speaker 1: what people don't like. Yeah, it's gross's dumb. It was

832
00:48:40,120 --> 00:48:44,680
Speaker 1: a bad It was never anything but a terrible idea. Um.

833
00:48:44,719 --> 00:48:46,399
Speaker 1: Oh yeah, here's a quote. There's also a really good

834
00:48:46,440 --> 00:48:50,600
Speaker 1: Intercept article UM on fucking acronym and shadow. I'm going

835
00:48:50,640 --> 00:48:52,400
Speaker 1: to read one quote from it. A person with knowledge

836
00:48:52,400 --> 00:48:54,360
Speaker 1: of the company's culture who asked her am an anonymous

837
00:48:54,400 --> 00:48:57,240
Speaker 1: for fear of reprisal, shared communications showing that top officials

838
00:48:57,239 --> 00:49:00,520
Speaker 1: at the company regularly expressed hostility to standard support. But

839
00:49:00,600 --> 00:49:02,640
Speaker 1: no one is married to Michael Hall. Listen, your strategist

840
00:49:02,680 --> 00:49:05,560
Speaker 1: for the bootage campaign. There's no evidence that any preference

841
00:49:05,560 --> 00:49:07,440
Speaker 1: of candidates had any effect on the coding issue that

842
00:49:07,480 --> 00:49:11,799
Speaker 1: has stolen the EYEOWA results. But again, everything they're like,

843
00:49:11,880 --> 00:49:13,680
Speaker 1: emails from this company are going to leak out at

844
00:49:13,680 --> 00:49:15,640
Speaker 1: some point. I already know it. They're like if if

845
00:49:16,040 --> 00:49:18,680
Speaker 1: Russia again, I don't think they orchestrated this, but they're

846
00:49:18,719 --> 00:49:21,560
Speaker 1: not dumb, Like if they could hack something, one thing

847
00:49:21,640 --> 00:49:24,000
Speaker 1: to hack would be the fucking emails of this company

848
00:49:24,200 --> 00:49:26,680
Speaker 1: because you're going to get them talking about Sanders supporters.

849
00:49:26,719 --> 00:49:28,080
Speaker 1: You can roll that out at the d n C,

850
00:49:28,360 --> 00:49:31,000
Speaker 1: just like happened with the d n C leaks. Like

851
00:49:31,080 --> 00:49:37,520
Speaker 1: it's of course, but that's what you're gonna do. That's yeah,

852
00:49:37,600 --> 00:49:41,960
Speaker 1: it's yeah, it's all very upsetting. Um, So what are

853
00:49:42,000 --> 00:49:46,160
Speaker 1: your takeaways here, guys. I'm excited that Biden didn't do well.

854
00:49:46,280 --> 00:49:50,520
Speaker 1: That's something that we can all resoundingly that happened tonight

855
00:49:50,640 --> 00:49:54,279
Speaker 1: is that Biden didn't do well week A week four. Um, Yeah,

856
00:49:55,000 --> 00:49:58,160
Speaker 1: didn't do well. Yeah. I think the Bernie winning the

857
00:49:58,200 --> 00:50:03,200
Speaker 1: popular vote first, sure, and maybe I mean probably one

858
00:50:03,600 --> 00:50:06,680
Speaker 1: a lot of the districts that I've reported. Here's what

859
00:50:06,760 --> 00:50:09,799
Speaker 1: I pause it. Even if even if this all comes

860
00:50:09,800 --> 00:50:15,080
Speaker 1: out pete one, Bernie takes the popular vote, Um, that's

861
00:50:15,080 --> 00:50:16,960
Speaker 1: going to give Bernie a real boost in the other states.

862
00:50:16,960 --> 00:50:19,680
Speaker 1: People are going to be mobilized and want to maybe

863
00:50:19,719 --> 00:50:22,600
Speaker 1: maybe that maybe that will draw more people out. I

864
00:50:22,640 --> 00:50:25,120
Speaker 1: don't know, maybe, Yeah. I think this The whole way

865
00:50:25,120 --> 00:50:27,440
Speaker 1: it's shaking out is like we've been talking about a

866
00:50:27,440 --> 00:50:31,600
Speaker 1: disaster and it doesn't make anybody really look good except

867
00:50:31,680 --> 00:50:34,520
Speaker 1: for like people who handle it well like Luc Warren.

868
00:50:34,560 --> 00:50:36,239
Speaker 1: Wasn't like I won or like anything like that. She

869
00:50:36,239 --> 00:50:37,960
Speaker 1: gave a nice speech, and then I just want to

870
00:50:38,000 --> 00:50:40,600
Speaker 1: say something real quick about her speech. She did give

871
00:50:40,600 --> 00:50:43,600
Speaker 1: a nice speech that I eventually saw when I was

872
00:50:43,640 --> 00:50:47,880
Speaker 1: watching live the Biden and her came out. The speech

873
00:50:47,880 --> 00:50:50,640
Speaker 1: at the same time, and she was on screen and

874
00:50:50,640 --> 00:50:54,080
Speaker 1: they immediately cut away to him the fourth place, the

875
00:50:54,160 --> 00:50:56,680
Speaker 1: person who at that point, I mean, everyone's like he's

876
00:50:56,719 --> 00:50:59,560
Speaker 1: not viable. It didn't seem and he was basically saying,

877
00:50:59,600 --> 00:51:02,560
Speaker 1: like doing terribly. He was basically saying, Sea suckers, I'm

878
00:51:02,560 --> 00:51:06,960
Speaker 1: going to New Hampshire. And and then MSNBC once it

879
00:51:07,000 --> 00:51:09,440
Speaker 1: was done, they just went back to people talking and

880
00:51:09,480 --> 00:51:13,480
Speaker 1: didn't even cut back to Warren. CNN did briefly then

881
00:51:13,480 --> 00:51:15,760
Speaker 1: cut away in the middle of her speech. I happened

882
00:51:15,760 --> 00:51:18,080
Speaker 1: to catch it hours later and they still had the

883
00:51:18,160 --> 00:51:20,920
Speaker 1: live Chiron underneath. Um. But her speech was good and

884
00:51:20,960 --> 00:51:25,080
Speaker 1: it was cute, Like I think, yeah, like, uh that uh,

885
00:51:25,120 --> 00:51:29,280
Speaker 1: that's generally good. Um. I think Bernie does probably benefit

886
00:51:29,320 --> 00:51:31,799
Speaker 1: from it, just because everything around it is like, well,

887
00:51:31,840 --> 00:51:35,040
Speaker 1: that's not good. You fucked up, you fucked up. Pete

888
00:51:35,080 --> 00:51:37,319
Speaker 1: declared victory when he didn't win, like every like I

889
00:51:37,360 --> 00:51:44,360
Speaker 1: think all these things ultimately, um, well, it's just a

890
00:51:44,480 --> 00:51:46,960
Speaker 1: disruption of what it was supposed to be, and leading

891
00:51:47,000 --> 00:51:50,480
Speaker 1: up to the Caucus was very much like trying to

892
00:51:50,480 --> 00:51:55,560
Speaker 1: get downplay it. Everything surrounding it is not good. Yeah,

893
00:51:56,680 --> 00:52:01,000
Speaker 1: And another positive takeaways that I think this be the

894
00:52:01,120 --> 00:52:06,400
Speaker 1: nail on the coffin of the Iowa Caucus, the whole process,

895
00:52:07,360 --> 00:52:10,879
Speaker 1: I mean, democracy went After this next election, we will

896
00:52:10,920 --> 00:52:17,520
Speaker 1: all be uh street against Donald Trump's manic legions and

897
00:52:17,880 --> 00:52:21,840
Speaker 1: there will be no more democracy. Snugglen snuggling together in

898
00:52:21,880 --> 00:52:26,000
Speaker 1: that coffin, right, being silly. But it could it could

899
00:52:26,000 --> 00:52:30,839
Speaker 1: happen here. Yeah. Um, you know the biggest heartbreak from

900
00:52:30,840 --> 00:52:32,879
Speaker 1: all this, Like the d I took some I took

901
00:52:32,920 --> 00:52:35,520
Speaker 1: some leaps out of the DNC's book, and I hired

902
00:52:35,920 --> 00:52:39,719
Speaker 1: about forty different people former Obama and Hillary staffers to

903
00:52:39,760 --> 00:52:41,879
Speaker 1: write my jokes for me this year. I paid them

904
00:52:42,280 --> 00:52:44,839
Speaker 1: uh seven point three million dollars um. Now a lot

905
00:52:44,880 --> 00:52:48,239
Speaker 1: of that was Bloomberg money obviously, Um, but you know

906
00:52:48,320 --> 00:52:51,600
Speaker 1: they gave me a really killer line to throw out

907
00:52:51,680 --> 00:52:54,680
Speaker 1: here that Because we don't have the exact numbers, I can't,

908
00:52:54,920 --> 00:52:57,920
Speaker 1: but I was going to call him Pete number two digit.

909
00:52:59,400 --> 00:53:02,520
Speaker 1: I know, I know, I know, I know. Do we

910
00:53:02,600 --> 00:53:05,800
Speaker 1: know it's a heartbreaker second in the popular vote. I

911
00:53:05,840 --> 00:53:12,840
Speaker 1: think it's so. With the popular vote, Bernie's winning two

912
00:53:12,920 --> 00:53:19,480
Speaker 1: hundred and Peter's close behind. H I mean, I guess

913
00:53:19,480 --> 00:53:23,360
Speaker 1: that's I said close I assume that it's close. It

914
00:53:23,400 --> 00:53:28,320
Speaker 1: seems fairly close. I don't know. Reporting in despite MSNBC

915
00:53:28,400 --> 00:53:32,840
Speaker 1: and CNN both having graphics that say it's in, doesn't

916
00:53:32,880 --> 00:53:35,120
Speaker 1: it just bumb you out when you're like, oh, we're

917
00:53:35,120 --> 00:53:37,960
Speaker 1: talking about like how many people are we talking about?

918
00:53:37,960 --> 00:53:41,800
Speaker 1: Two people? We are? We are talking about a covert

919
00:53:41,880 --> 00:53:47,560
Speaker 1: city voters over city being an area of Los Angeles,

920
00:53:47,960 --> 00:53:50,880
Speaker 1: cover city being a very small area of Los Angeles

921
00:53:50,880 --> 00:53:52,839
Speaker 1: with a reasonably priced rent for being on the west side.

922
00:53:52,920 --> 00:53:57,440
Speaker 1: Absolutely if you want to be good neighborhood to the ocean. Um. Yeah,

923
00:53:57,800 --> 00:54:01,839
Speaker 1: So there are some potential positives we can look at

924
00:54:01,920 --> 00:54:04,000
Speaker 1: in the long run. Here, I am just trying to

925
00:54:04,040 --> 00:54:07,040
Speaker 1: spin it that way, but mostly it is the ship

926
00:54:07,080 --> 00:54:10,879
Speaker 1: show that we have described. You know what, Actually, here's

927
00:54:10,880 --> 00:54:12,120
Speaker 1: a good way to look at the number of people

928
00:54:12,120 --> 00:54:14,800
Speaker 1: who voted in the Iowa cock If you count side

929
00:54:14,880 --> 00:54:19,160
Speaker 1: arms as well as primary arms, h a slightly more

930
00:54:19,200 --> 00:54:22,200
Speaker 1: people voted in Iowa than there were firearms in Richmond

931
00:54:22,239 --> 00:54:27,160
Speaker 1: during the gun rally. Okay, well, then that's something right there. Democracy.

932
00:54:27,280 --> 00:54:30,680
Speaker 1: I think there we go, there we go. It's important

933
00:54:30,040 --> 00:54:34,360
Speaker 1: to some important data to unpack. I feel like a

934
00:54:34,400 --> 00:54:36,719
Speaker 1: few coin flips might change those numbers a little bit,

935
00:54:36,800 --> 00:54:40,000
Speaker 1: but you know, results come in in the middle of

936
00:54:40,120 --> 00:54:42,400
Speaker 1: the city of the Union. I'm sure they will. They

937
00:54:42,440 --> 00:54:46,480
Speaker 1: want to prolonged and obviously the results of this as

938
00:54:46,520 --> 00:54:51,160
Speaker 1: much as possible because the results help who wins, and

939
00:54:51,160 --> 00:54:56,120
Speaker 1: I'm pretty sure they know who won. So okay, I

940
00:54:56,160 --> 00:54:59,359
Speaker 1: think that that's where we wrap things up. I think

941
00:54:59,440 --> 00:55:03,640
Speaker 1: that's where wrapped. Congratulations to Mayor Pete, who is now

942
00:55:03,680 --> 00:55:06,680
Speaker 1: framing this as the pundits didn't believe we could do it,

943
00:55:06,719 --> 00:55:09,560
Speaker 1: but we did it. Pete, Every pundit loves you. What

944
00:55:09,560 --> 00:55:13,400
Speaker 1: are you talking about. It's also to claim that you

945
00:55:13,719 --> 00:55:18,200
Speaker 1: won something when zero presented. Oh sure, that's also that

946
00:55:18,239 --> 00:55:24,040
Speaker 1: will always be something the way after very very Trumpian

947
00:55:24,160 --> 00:55:29,479
Speaker 1: of him. That quite trumping. I don't know what I mean, Hey,

948
00:55:29,800 --> 00:55:36,680
Speaker 1: I one, uh, it's just the members can't lie if

949
00:55:36,680 --> 00:55:39,600
Speaker 1: there are no numbers. Sure, all of that, but for real,

950
00:55:39,840 --> 00:55:42,400
Speaker 1: who how was he getting that information that other people

951
00:55:42,440 --> 00:55:47,879
Speaker 1: didn't have, you know, shadow, shadow, So I will say,

952
00:55:48,200 --> 00:55:50,560
Speaker 1: you know, um, I don't know if you guys were

953
00:55:50,560 --> 00:55:54,399
Speaker 1: aware of this, but campaigner Katie Coates won an eleven

954
00:55:54,480 --> 00:55:58,600
Speaker 1: year battle to get the Global Association of International Sports Federation.

955
00:55:59,160 --> 00:56:01,920
Speaker 1: GAP two can firm pole dancing as a professional sport,

956
00:56:02,320 --> 00:56:04,840
Speaker 1: which means that it is now possible that poll dancing

957
00:56:04,880 --> 00:56:08,080
Speaker 1: could be an Olympic sport. And I'm taking a leaf

958
00:56:08,080 --> 00:56:11,920
Speaker 1: out of Maripete's book and congratulating myself for winning the

959
00:56:11,960 --> 00:56:15,400
Speaker 1: gold medal and dancing. I know, I know, thank you,

960
00:56:15,560 --> 00:56:22,480
Speaker 1: thank you, victory he won at the Olympics. But haven't

961
00:56:22,520 --> 00:56:26,120
Speaker 1: happened yet. You did a h A hundred percent of

962
00:56:26,200 --> 00:56:29,960
Speaker 1: judges have not yet reported in, but based on the

963
00:56:30,040 --> 00:56:34,759
Speaker 1: early numbers, I am tracking a victory. The energy, the energy,

964
00:56:34,000 --> 00:56:39,120
Speaker 1: the yeah, I'm proud of you and I'm grateful that

965
00:56:39,200 --> 00:56:42,040
Speaker 1: we entered to podcast on such a positive note. On

966
00:56:42,080 --> 00:56:45,560
Speaker 1: a victory. I think this, this win might be enough

967
00:56:45,600 --> 00:56:47,839
Speaker 1: to get me to finally learn how to pull dance.

968
00:56:48,080 --> 00:56:51,960
Speaker 1: I'm rooting for your best. Um, you guys can check

969
00:56:52,040 --> 00:56:56,279
Speaker 1: us out online. We have social media, It's true. At

970
00:56:56,320 --> 00:57:01,080
Speaker 1: worst your pod on Twitter and Instagram. Uh, and then

971
00:57:01,120 --> 00:57:03,879
Speaker 1: you know we also tweet and stuff like that as well.

972
00:57:03,920 --> 00:57:06,200
Speaker 1: If you want we do tweet. I'm Katie Stole, I'm

973
00:57:06,239 --> 00:57:11,320
Speaker 1: Cody Johnston on Twitter. I'm gotta learn how to pull dance.

974
00:57:12,000 --> 00:57:14,080
Speaker 1: That's his new handle, guys, follow it. Oh, we're doing

975
00:57:14,120 --> 00:57:18,720
Speaker 1: our handles, not our name, Google my name and the

976
00:57:18,760 --> 00:57:21,920
Speaker 1: word Twitter. Yeah. I don't know why I decided we

977
00:57:22,000 --> 00:57:25,040
Speaker 1: never do that. I just you know, sometimes I feel

978
00:57:25,080 --> 00:57:26,920
Speaker 1: under the pressure to wrap when I'm wrapping it up

979
00:57:28,440 --> 00:57:32,080
Speaker 1: your words. Um, no, Katie, this is a gut field

980
00:57:32,280 --> 00:57:34,600
Speaker 1: and we're going to follow your gut wherever it leads us.

981
00:57:34,840 --> 00:57:37,520
Speaker 1: Follow your gut to my Twitter page and hit that.

982
00:57:37,600 --> 00:57:42,000
Speaker 1: There we go and then New Hampshire. This has been fun.

983
00:57:42,520 --> 00:57:43,800
Speaker 1: I just want to put out that I already want

984
00:57:43,840 --> 00:57:45,320
Speaker 1: you Hampshire. I know I'm not running, but I just

985
00:57:45,400 --> 00:57:49,080
Speaker 1: want your Hampshire. What's the room room full of winners,

986
00:57:49,120 --> 00:57:53,320
Speaker 1: liars and hand I mean there's there are a percent

987
00:57:53,440 --> 00:57:58,919
Speaker 1: and nobody's voted. Yeah, but definitely one Katie, so less.

988
00:57:59,080 --> 00:58:02,080
Speaker 1: That's the way, so much. Thank you so much early rounds.

989
00:58:02,200 --> 00:58:04,919
Speaker 1: I am a winner. Thank you so much. Thank you. Yeah,

990
00:58:05,600 --> 00:58:08,160
Speaker 1: all right, Well, why is this is the worst year ever?

991
00:58:08,960 --> 00:58:12,200
Speaker 1: We still have the state of the Union, the impeachment vote,

992
00:58:12,440 --> 00:58:15,360
Speaker 1: and a Democratic debate this week? I hate everyone the

993
00:58:15,400 --> 00:58:18,240
Speaker 1: worst week of the worst. Take on the Night King.

994
00:58:18,320 --> 00:58:21,120
Speaker 1: You're gonna take on the Night King. I'm just kidding

995
00:58:21,160 --> 00:58:24,760
Speaker 1: to love everyone in The Shaman, Robert Fold, and more

996
00:58:24,920 --> 00:58:27,440
Speaker 1: to the polls. Are we just going to riff around

997
00:58:27,640 --> 00:58:31,080
Speaker 1: until people stop? I think so yeah, until the song

998
00:58:31,200 --> 00:58:36,120
Speaker 1: sort of like slowly ramps up here the music key

999
00:58:36,240 --> 00:58:39,040
Speaker 1: Race Alert, my dog just want but what we don't know?

1000
00:58:39,360 --> 00:58:56,080
Speaker 1: Dan Music Ever, So everything I D Worst Year Ever

1001
00:58:56,160 --> 00:58:58,760
Speaker 1: is a production of I Heart Radio. For more podcasts

1002
00:58:58,800 --> 00:59:01,040
Speaker 1: from my heart Radio, visit the I heart Radio app,

1003
00:59:01,120 --> 00:59:04,040
Speaker 1: Apple Podcasts, or wherever you listen to your favorite shows.