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

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Speaker 1: Radio Together Everything so do. Welcome to the headquarters of

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Speaker 1: the violent Narco Bidenist movement. Here to destroy all government

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Speaker 1: and replace it with a fairly similar government. I like

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Speaker 1: Katie's better. Now, well that's because you like malarkey. Yeah,

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Speaker 1: you're a pro malarkey. Your malarxist stance has been well documented. Uh,

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Speaker 1: we're gonna be talking about things election related, because oh

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Speaker 1: my god, that's in two weeks. Actually, it's already started.

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Speaker 1: Millions and millions of millions and millions. Almost thirty million, Yeah,

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Speaker 1: thirty million is what I wrote down, have already voted it,

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Speaker 1: which is impressive. I believe I read a statistic that

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Speaker 1: already sevent of total votes have already been cast. That's wild. Um.

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Speaker 1: But I wanted to start this episode off by acknowledging

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Speaker 1: that we've had a prediction come down the pipeline from

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Speaker 1: Pat Robertson. Prediction. Pat Robertson has appended everything because he's

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Speaker 1: let us know that he's talked to God and God

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Speaker 1: says that Trump will win the reelection. And not only that,

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Speaker 1: but this will bring about the end of time. You know,

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Speaker 1: if if I actually thought a Trump victory would lead

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Speaker 1: to the end of all life in the universe. I

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Speaker 1: would I might vote for the man, just like, yeah,

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Speaker 1: let's do it. Let's fun. What happened this ship done?

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Speaker 1: He's really tempting. We dangling that that little prize in

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Speaker 1: front of us, except don't threaten me with a good time, pat,

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Speaker 1: He's been wrong so many times before. How can we

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Speaker 1: trust this. It's like when Trump goes up on stage,

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Speaker 1: He's like, if I lose, I'm going to leave the country.

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Speaker 1: It's like, all right, please, well do you mean it?

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Speaker 1: We'll do it. We'll do it. We'll do it. Um.

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Speaker 1: But that was just a fun little anecdote to get

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Speaker 1: us started today. What country do you think? That's my question?

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Speaker 1: What country do you THAUTI Arabia, Russia, North Korea? We

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Speaker 1: should start, if we should start up, Bolivia, Bolivia, we

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Speaker 1: should start. I think we should start a poll on this.

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Speaker 1: I don't think he'll leave anywhere. He'll go anywhere. But no,

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Speaker 1: he won't go to another country. He won't go to jail.

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Speaker 1: He'll live in his tower and be fine. Yeah, just

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Speaker 1: like he did before. Exactly, nothing will change for that guy.

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Speaker 1: He was just trying to say the word poll, so

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Speaker 1: we can transition to Robert talking about polls. I love polls,

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Speaker 1: huge to that topic. Yeah, So I guess the first

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Speaker 1: caveat is that, uh, nothing I say or that anyone

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Speaker 1: else will say prior to the election will assuage anyone's

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Speaker 1: nervousness about how this is going at all, um, because

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Speaker 1: that's that's just the way it goes. UM. At this point,

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Speaker 1: more than twenty nine million I think like point six

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Speaker 1: million or something like that, people from forty five states

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Speaker 1: have voted UM, either by mail or in person. Nearly

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Speaker 1: half of those votes, almost fourteen point two million, came

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Speaker 1: from Democratic voters. UM. Republican voters have returned about ten

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Speaker 1: million votes to compare. So, you know, Democrats really significant

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Speaker 1: edge heading into the election, just bait in part because

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Speaker 1: like Democrats tend to early vote and vote by mail

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Speaker 1: more often, though the virus does meet and that this

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Speaker 1: is like a a different situation than a normal election.

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Speaker 1: So it's it's broadly speaking, a good sign that there's

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Speaker 1: such a an edge among Democrats. UM. And yeah, so

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Speaker 1: far Democrats have returned more ballots than Republicans in thirty

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Speaker 1: two separate states. Uh. In Florida, in Minnesota, Democratic early

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Speaker 1: voters are beating Republicans by about twenty percentage points. In

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Speaker 1: New Hampshire, Democratic voters are ahead by thirty six points um.

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Speaker 1: But the parties are kind of like more or less

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Speaker 1: even in Georgia, Wisconsin, and Michigan. So again, you know,

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Speaker 1: when the big vote day comes, Republicans are, you know,

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Speaker 1: because they don't believe in science or plagues. Yeah, they're

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Speaker 1: they're more likely to come out on election day itself.

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Speaker 1: That said, there's also more Democratic voters in general than

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Speaker 1: Republican voters, so this is again broadly good news. You

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Speaker 1: would say, the stuff that we're getting from from early

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Speaker 1: voting not conclusive, but broadly good news. So that's ice. Um,

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Speaker 1: It's like it's nice to read these sort of things

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Speaker 1: right before you go to sleep, and then when you

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Speaker 1: wake up read something else that's terrifying. Jan Peterson coming back, Yes,

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Speaker 1: I too. There are all sorts of caveats, but yes,

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Speaker 1: these are all excellent early indicators. But you're right when

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Speaker 1: you say, obviously this is because of coronavirus, so we

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Speaker 1: don't know how all of this. It's hard to predict

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Speaker 1: anything because this is such an abnormal year in so

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Speaker 1: many ways. Yeah, it's like anytime you say, like, well, yeah,

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Speaker 1: normally you know this means this, but also there's a

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Speaker 1: giant plague that's killed two hundred thousand plus people and

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Speaker 1: has shut down large chunks of our normal life. So like,

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Speaker 1: it's kind of hard to and we're also, uh, it

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Speaker 1: looks like trending virus wise to be worse than things

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Speaker 1: were at the worst period earlier this year in the

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Speaker 1: spring and summer. So that's gonna be fun. That's gonna

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Speaker 1: be cool. Historically speaking, just because more people vote for

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Speaker 1: one candidate doesn't mean that candidate's gonna win. Yeah. Yeah,

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Speaker 1: That's why I'm focusing on swing states a lot, and

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Speaker 1: I think a lot of the good analysis is so

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Speaker 1: kind of the two most critical states I think, I

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Speaker 1: mean maybe three, Like Pennsylvania is a big deal. Um,

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Speaker 1: Florida is obviously huge, and then so is Arizona. And

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Speaker 1: people will say that like, yeah, I Trump wins Florida,

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Speaker 1: he wins like the majority of predicted elections, but also

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Speaker 1: Trump loses Arizona. He loses in the majority of predicted elections.

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Speaker 1: And right now Biden and Trump are pretty close to

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Speaker 1: neck and neck in Florida, but Biden has a really

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Speaker 1: significant edge in Arizona. He's up by like, I don't know,

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Speaker 1: four points or so, um by five thirty eight average,

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Speaker 1: but there have been some that have shown him up

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Speaker 1: by as much as seven. And he's had a pretty

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Speaker 1: consistent edge in Arizona. UM. Whereas it looks like his

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Speaker 1: edge in Florida's tightening. Um yes, yeah, um. Most recent

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Speaker 1: poll showed him up by just one point, which is

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Speaker 1: within the margin of error. Average has him up by

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Speaker 1: like three. UM. It's really hard to say where either

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Speaker 1: of those states is going to go. Broadly speaking, Florida

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Speaker 1: seems like a toss up potentially leaning you know either way. Uh,

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Speaker 1: And Arizona seems to be leaning Biden, but not by

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Speaker 1: a clearly safe I mean. One of the good things

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Speaker 1: about Arizona is that Maricopa County, which is the largest

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Speaker 1: county in the United States in terms of geographical area

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Speaker 1: and also a very populous county, has been really consistently

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Speaker 1: leaning towards Biden for months now. So that's a good step.

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Speaker 1: And also yeah, yeah, part yeah, I mean, some of

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Speaker 1: these are gonna be tough anyway, and you know, I

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Speaker 1: do take some amount of um joy or solace and

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Speaker 1: the fact that it's tightening and that these are are

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Speaker 1: actually competitive races is that's great. But the Florida stuff

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Speaker 1: is I heard this one segment on This American Life

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Speaker 1: basically talking about how the ground game in Florida from

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Speaker 1: the Biden campaign has been nonexistent pandemic. Sure, but in contrast,

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Speaker 1: um Republicans have been door knocking, have been doing organizing.

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Speaker 1: You know, there wasn't even a field office for the

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Speaker 1: Biden campaign apparently until a couple of weeks ago. Yeah,

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Speaker 1: I've heard that generally about the Biden campaign. It's alarming.

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Speaker 1: For me, that is very alarming and weird. It's weird.

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Speaker 1: But also they didn't have a really great good ground

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Speaker 1: game during the primaries either, So I mean, look, there's

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Speaker 1: a lot of reasons for this big one being again

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Speaker 1: pandemic and phone banking is just about as effective as

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Speaker 1: door to door um knocking, especially since you can look

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Speaker 1: at it and say like, oh, well, you can cover

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Speaker 1: much more territory, reach out to more people foam banking

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Speaker 1: than you can walking from house to house. But um,

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Speaker 1: I mentioned this to you guys before we started recording.

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Speaker 1: But what we're seeing in swing states, Okay, so historically

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Speaker 1: Democrats have been much better about registering people to vote

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Speaker 1: and getting mail in ballots. But over the past four years,

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Speaker 1: especially in swing states, folk Republicans have been focusing on that.

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Speaker 1: UM and so it's unclear again how that is going

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Speaker 1: to affect turnout ultimately, etcetera, etcetera. And here this is

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Speaker 1: from Time magazine. UM, and you know they're talking about

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Speaker 1: all this stuff, but they say, take, for instance, Florida,

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Speaker 1: the voter registration numbers show a narrowing gap to a

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Speaker 1: one point three percentage point voter registration advantage for Democrats.

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Speaker 1: Four years ago, Democrats were a head and voter registration

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Speaker 1: by party by twice that and still lost Florida by

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Speaker 1: one point two percentage points. Anyway, that's a lot of

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Speaker 1: talk about percentages and stuff, but it's all just data

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Speaker 1: to be taking in. We're thinking about this stuff. Yeah,

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Speaker 1: it's hard to know. It's just how relevant all of

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Speaker 1: this is, right, how much is actually going to affect

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Speaker 1: the end result? Impossible and driving yourself ill by focusing

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Speaker 1: too much on all the different things that might happen,

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Speaker 1: possibly possibly unhealthy, profoundly so, like every aspect of our

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Speaker 1: political system, which should not be reformed or changed in

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Speaker 1: any way. Um, I really like what would you say,

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Speaker 1: malarkyst Malaris? Yeah, yeah, we like it. You know the thing,

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Speaker 1: the thing that's frustrating. So I was listening to podcast recently, Um,

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Speaker 1: and you know, my my opinions on Nate Silver are

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Speaker 1: well known. But again, he's pretty good when it comes

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Speaker 1: to analyzing polls. And one of the things that he'll

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Speaker 1: point out is that, um, whow is that we people

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Speaker 1: are kind of obsessing too much over how sixteen went,

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Speaker 1: as opposed to kind of looking at this election within

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Speaker 1: the grand scheme of other elections. And I don't know

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Speaker 1: how much I agree with that, because political trends have

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Speaker 1: changed so much just in the last four to eight years, Um,

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Speaker 1: that maybe maybe it's actually better to look at the

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Speaker 1: most recent election because it dealt with all this crazy

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Speaker 1: shit like foreign influence campaigns and whatnot in the United States.

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Speaker 1: And UM, I don't know how much I agree with

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Speaker 1: that part. But the thing that he does did point

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Speaker 1: out that I think is kind of worth saying and

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Speaker 1: valid is that, um, when Hillary Clinton had was that

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Speaker 1: like the highest extent of her lead, she was, you know,

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Speaker 1: only a couple of points behind. Where where Biden is

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Speaker 1: now in most polls, um so broadly similar and similar

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Speaker 1: chances of winning, and she's still lost. But that was

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Speaker 1: like an outlier for the campaign, and most of the

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Speaker 1: campaign had been much more narrow in terms of like

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Speaker 1: her her edge over Trump. She only got a big

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Speaker 1: edge right after the Access Hollywood ship. Um. So the

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Speaker 1: point that Nate makes that I think is not a

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Speaker 1: it is a pretty reasonable one is that like, well, no,

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Speaker 1: Biden's lead has been really really consistent for for months now,

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Speaker 1: even prior to the coronavirus, and there's not really much

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Speaker 1: of a sign that It's like you can find a

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Speaker 1: couple of polls that say it's tightening, but there as

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Speaker 1: many polls that like say it's really not. Um, So

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Speaker 1: that could be a good sign. Yeah, there's some even

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Speaker 1: mentioned this before, Like if you even just look visually

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Speaker 1: at like here's here's the polling for the entire election

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Speaker 1: of Trump versus Hillary Clinton, and the entire election so

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Speaker 1: far of Trump versus Joe Pine, it fluctuates constantly with

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Speaker 1: with Clinton. Yeah, and Biden has never really slipped. Um.

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Speaker 1: And that is national polls from what Yeah, that's that's

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Speaker 1: national in most of the swing states, he's He's had

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Speaker 1: a pretty consistent lead in a lot of the swing states,

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Speaker 1: Florida being a big exception. Like, yeah, it just seems like, like,

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Speaker 1: I mean, Hillary Clinton was a very uniquely bad candidate

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Speaker 1: for that year or any year, or I'm being very generous, um,

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Speaker 1: but yeah, it just seems like from the get go,

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Speaker 1: everyone's like, oh, Trump or Biden, I'd rather have Joe Biden. Yeah,

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Speaker 1: And that hasn't really shifted that much. And Trump is

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Speaker 1: certainly not helping himself, no, and he's you know, we'll

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Speaker 1: talk a little bit about where he's lost support the most.

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Speaker 1: I also wanted to point out I just found just

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Speaker 1: like a couple of hours before we started recording this episode,

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Speaker 1: UM CNN released a poll of pole averages across ten

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Speaker 1: of the battleground states, which showed tight races in seven

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Speaker 1: states and Joe Biden ahead averages of the other three

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Speaker 1: UM all of which Trump won in two thousand sixteen.

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Speaker 1: So Biden has a significant lead in a sizeable advantage

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Speaker 1: over Trump in Pennsylvania, Michigan, and Wisconsin. Pennsylvania is Biden's

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Speaker 1: largest lead. It's like more than more than five percentage points.

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Speaker 1: How's Texas looking you know Texas is a swing state

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Speaker 1: now like that that that like seeing and has it

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Speaker 1: as a swing state. Now, I will tell you all,

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Speaker 1: as someone who spent most of his life in Texas,

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Speaker 1: never ever ever bet on Texas for anything, like don't

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Speaker 1: put any hope into Texas because it's Texas, Texas. Interesting

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Speaker 1: thing about Texas I've got. I actually do have a

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Speaker 1: lot of faith in Texas this year. Um. But if

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Speaker 1: you look at the I know, I know, and I apologize,

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Speaker 1: it's a profoundly bad idea. UM in the the betto

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Speaker 1: Mr Cruz matchup, Mr Mr Cruz, I don't in front

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Speaker 1: of me. Uh So I don't want to say the

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Speaker 1: exact numbers, um, but the majority of voters, of the

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Speaker 1: majority of people who were born and raised in Texas

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Speaker 1: voted for Bett oh and Ted Cruz got a lot

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Speaker 1: of the votes from people who moved there. So I

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Speaker 1: don't know. I think. I think, I think the heart

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Speaker 1: of Texas is gonna gonna pull through this year, isn't. Yeah,

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Speaker 1: you shouldn't. You shouldn't try. I know, I shouldn't. Shouldn't

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Speaker 1: trust the taxis. I shouldn't have said it out YEA, Yeah,

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Speaker 1: you know, so I don't know, like one of the

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Speaker 1: things that seen and points out is that UM in uh, Arizona, Florida, Georgia, Iowa, Michigan,

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Speaker 1: North Carolina, Ohio, and Pennsylvania, UM, which are the tightest.

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Speaker 1: You know, these are of the of the seven really

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Speaker 1: tight swing states. UM, Biden is ahead, UM, but it's tight. UM.

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Speaker 1: Texas is the only one of those seven swing states

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Speaker 1: where Trump is numerically ahead UM to Biden. So again,

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Speaker 1: like and I like, I'm I'm harsh on Texas because

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Speaker 1: I lived there and I broadly despise it. That said,

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Speaker 1: I love a lot of the people there, and a

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Speaker 1: lot should be said about the very, very brave and

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Speaker 1: hard working activists in Texas who have been fighting tooth

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Speaker 1: and nail to get to this point to where you

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Speaker 1: can actually say Texas could swing Like it's it's like

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Speaker 1: a real like that that it's an incredible accomplishment just

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Speaker 1: to be able to say that, UM, given everything they're

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Speaker 1: up against. Where like, for one thing, Texas has been

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Speaker 1: noted as like the hardest state to vote it UM.

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Speaker 1: I've also read I mean, I don't know if we're

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Speaker 1: going to get into this in a little bit UM

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Speaker 1: about Trump's polling in influence with Latino voters, black voters. Shockingly,

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Speaker 1: he doesn't do that poorly with Latino voters. But there

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Speaker 1: are different sects of it and we can get into.

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Speaker 1: But there are a lot in Texas, more and more, uh,

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Speaker 1: Latino voters in Texas that are trending towards Democrats. Yeah.

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Speaker 1: Trump's support among Latinos kind of varies, like he has.

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Speaker 1: He has a lot more support in Florida because you know,

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Speaker 1: Cuba and Castro and people's you know, attitudes towards socialism

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Speaker 1: as a result of that. But Texas is a very

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Speaker 1: different animal. Yes, it's like very regional. How his influence

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Speaker 1: into those demographics are. Yeah, and I suspect that the

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Speaker 1: narrowing in Texas, and I who knows. Biden may have

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Speaker 1: said something since, but like you'll notice, it's actually been

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Speaker 1: a while in election term since Biden has made a

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Speaker 1: big gun control statement. And I think it's because some

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Speaker 1: of these places in the South started tightening up. And

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Speaker 1: hopefully people are like, hey, Joe, maybe shut up about that.

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Speaker 1: We might win Texas, but we're not if you start

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Speaker 1: talking about guns because it's Texas. Yeah. Yeah, Um, I

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Speaker 1: don't know, like he may he may make some big

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Speaker 1: statement about banning all assault rifles tomorrow. Um yeah, it's

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Speaker 1: one of those things like we just got the news

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Speaker 1: an hour ago that, um he's his his transition team

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Speaker 1: is like at least like vetting Republicans for potential. That

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Speaker 1: written down to, oh yeah, it means because I read

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Speaker 1: the text of the article and it's like, oh, well,

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Speaker 1: they haven't actually picked anybody, and they're not going to

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Speaker 1: make any announcements until November three. They could just be

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Speaker 1: teasing that they're going to pick some Republican people to

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Speaker 1: try to get the Republican vote because they haven't committed

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Speaker 1: to any Yeah. But the thing is that it doesn't

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Speaker 1: actually they looking through that. It doesn't seem like that

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Speaker 1: actually will garner him support from the right. It does

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Speaker 1: seem unlike it does risk and raging the left. It's

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Speaker 1: just I could have done without that one today. I

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Speaker 1: mean Aimes floated, uh possible names being floated for a

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Speaker 1: Biden cabinet. Uh. Meg Whitman, the CEO of Quimby. Yeah, formers, Well,

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Speaker 1: she knows how to run a country, knows how to

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Speaker 1: run a country. She already los didn't you try running

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Speaker 1: for governor and Californer and lost. Yeah, but now she

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Speaker 1: runs Quimby, so that means she's a winner. They're trying

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Speaker 1: to be the entertainment powerhouse by storm. Former Ohio Governor

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Speaker 1: John k Yeah, I wonder. I wonder because did his

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Speaker 1: like weird thing at the convention. Um, I don't know

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Speaker 1: how much that moves the needle. Jeff Flake was an

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Speaker 1: unbelievable name to readelievable, unbelievable. Former Rep. Charlie dent Um.

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Speaker 1: This is I mean, this is a lobbyist now, Yeah,

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Speaker 1: sort of like it's been. It's been like this for

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Speaker 1: months though, like every every every month there's an article

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Speaker 1: like they're talking about doing this us, they're talking about

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Speaker 1: getting this person or this person on the transition team,

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Speaker 1: and it's always some lobbyist or like some corporate piece

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Speaker 1: of ship. Um. And they've been like it's been a

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Speaker 1: warning and a a possibility or a probability for a

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Speaker 1: long time. But yeah, this just seems like a story

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Speaker 1: of like, yeah, we'll throwout these names. Maybe it'll move

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Speaker 1: the needle one way the other. We don't expect it to, right. Um.

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Speaker 1: I think we need to pivot to an ad break,

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Speaker 1: you know, you know, what's better than Texas, California. Virtually everything,

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Speaker 1: but particularly the products and services that support this podcast,

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Speaker 1: none of which are legally allowed to be sold in Texas.

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Speaker 1: So to hell with you all, one of our largest

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Speaker 1: states in terms of listeners. Together everything, we're back, and

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Speaker 1: we're talking about a way we could fix um some

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Speaker 1: of our electoral problems. And I just want to once

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Speaker 1: again suggest, uh my my plan, which is that we

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Speaker 1: hollow out the entire middle of the country. We force

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Speaker 1: all the adults to live in either coast, and we

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Speaker 1: turn the entire center of the United States into a giant,

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Speaker 1: open air child prison, and kids live there from from

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Speaker 1: let's say that age one to age eighteen um, and

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Speaker 1: they have you know that whatever they do, whatever like

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Speaker 1: however they can survive, they do it. I mean to

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Speaker 1: assume they're going to form into feral packs and have

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Speaker 1: crude tribal wars with one another, and then at age eighteen,

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Speaker 1: men in black helicopters tranquilize them and take them to

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Speaker 1: San Bernardino, California, where they have to work as accountants

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Speaker 1: for four years, and then they're legally adults. What Robert's

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Speaker 1: doing is pitching us on his dystopian. I think this

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Speaker 1: would solve every single contemporary problem we have in the

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Speaker 1: What about the fact that the coasts are on our

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Speaker 1: coast is on fire anyway? Yeah, I think it will

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Speaker 1: solve that too. You're gonna have so many less people

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Speaker 1: driving the whole Midwest will be how We're going to

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Speaker 1: have to cut down all the trees in order to

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Speaker 1: make room for people. So I guess there's less ground

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Speaker 1: to burn. Yeah, I think it's a good idea. Um. Yeah,

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Speaker 1: I thought you were gonna say hollow out the Middle

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Speaker 1: America and making a giant ball pit. But you said

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Speaker 1: child prison when you Yeah, you said child prison. You

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Speaker 1: said that can there can there can there be a

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Speaker 1: ball pit in the prison the children? Yeah, I mean

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Speaker 1: that no, because it's supposed to be just crude wilderness

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Speaker 1: filled with rattlesnakes. Um, which again will also cut down

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Speaker 1: on on the population. So really every every major problem

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Speaker 1: in the United States has will be solved by my plan.

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Speaker 1: We'd amount sort amount make them accountants for four years

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Speaker 1: in San Bernardino, and then they're adults, and then but

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Speaker 1: when then, when you're when you're adults, you have you

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Speaker 1: have rights and freedoms or yeah, yeah, no, absolutely, at

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Speaker 1: age two, after you finished your time as an accountant

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Speaker 1: in San Bernardino. You get right. Um, this is well

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Speaker 1: thought out and I don't know yet a platform. This

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Speaker 1: is what I will be running on in Um, what

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Speaker 1: do we want to talk about in this section? Huh, Well,

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Speaker 1: let's talk about race as a group of exclusively white people. Yes,

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Speaker 1: so we ran for president as a group of exclusively

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Speaker 1: white people. We should talk about race and voting in

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Speaker 1: the United States. Yeah, we're the most qualified. I've been

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Speaker 1: doing a lot of listening and now it's time to talk.

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Speaker 1: I'm making fun of myself, not the movement. I just

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Speaker 1: want that to be clear. So about half of likely

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Speaker 1: young voters say they preferred Joe Bides Joseph Robinette, you know, Jarbide.

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Speaker 1: I'm coming up with nickname for him on the spot. Yeah,

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Speaker 1: and this is based on the stuff I'm gonna start with.

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Speaker 1: Is based on a Forbes Under thirty study which was

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Speaker 1: powered by John Zogby, whose last name I think is

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Speaker 1: probably fake. Um, I know he's a big name and polling.

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Speaker 1: I still don't believe it. No, he's a muppet, Yeah,

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Speaker 1: thank you, Yes, pretends to do like a Zogby is

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Speaker 1: something you buy in a toys r us. Um. So, yeah.

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Speaker 1: The the margin of Joe Biden's young support has actually

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Speaker 1: narrowed since June. Biden hit like six during that period,

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Speaker 1: He's down to fifty seven, So it has narrow that

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Speaker 1: has narrowed a bit. Um, and it's it seems like

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Speaker 1: Trump's convention may have had some impact on this. His

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Speaker 1: support with young voters went from uh, although it's worth

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Speaker 1: noting that that's no change at all from where things

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Speaker 1: were in January. Okay, so it's just like bounced back basically.

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Speaker 1: They also maybe conflating things that aren't because I have

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Speaker 1: trouble imagining anybody under the age of thirty watching a

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Speaker 1: single second of President Trump's or any Yeah. Um, that's said,

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Speaker 1: that's what, that's that's how forbes. I wonder what else

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Speaker 1: happened that week that could have done that, because that

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Speaker 1: is that is wild to me. Yeah, it's it seems

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Speaker 1: I don't know, whatever week Trump's thing weird, Uh, the

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Speaker 1: best is yet to come. Shouting match happen, Yeah, good

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Speaker 1: times so uh yeah, And it does seem like the

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Speaker 1: George Floyd Uprising protests whatever you want to call them. Um,

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Speaker 1: had an impact on this. Joe Biden currently leads uh

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Speaker 1: SE among young black voters, which is actually declined. He

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Speaker 1: was at seventy seven percent in June, and his support

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Speaker 1: among Hispanics has dipped two from sixty six percent to

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Speaker 1: sixty two percent in three months, while Trump climbed a

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Speaker 1: similar amount UM So number one, it's worth noting that

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Speaker 1: Trump is is is polling a lot better among young

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Speaker 1: Black and Hispanic people, UM, particularly primarily young Black and

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Speaker 1: Hispanic men. Then he was earlier in the year a

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Speaker 1: bit better than he was earlier the in the year,

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Speaker 1: and significantly better than he did in two thousand sixteen.

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Speaker 1: He's actually up to two percent of young Hispanic voters

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Speaker 1: in two thousand sixteen and he's up to thirty five percent.

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Speaker 1: It depends, yeah, I mean, it depends on the polls.

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Speaker 1: This is this is u c l A nation scapes

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Speaker 1: almost say thirty but it's certainly a significant increase among

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Speaker 1: young Hispanic primarily men, but voters in general. UM. And

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Speaker 1: he's had a like a similar like an even larger

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Speaker 1: growth among young Black voters UM from about ten percent

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Speaker 1: to two and sixteen in twenty UM. Now there's a

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Speaker 1: number of reasons for this. Uh, most of the places

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Speaker 1: I found I'm looking at like kind of Forbes in

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Speaker 1: five thirty eight and um, I believe in in BC

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Speaker 1: Pole Um suggests that this is because young black voters

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Speaker 1: and young black men in particular don't trust the government

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Speaker 1: and Trump is an anti establishment candidate somehow, even though

424
00:27:13,720 --> 00:27:18,280
Speaker 1: he's now also the president. Um. Yeah, it's there's you know,

425
00:27:18,400 --> 00:27:20,840
Speaker 1: there's a lot that's been written about this. Yeah, yeah,

426
00:27:21,000 --> 00:27:26,560
Speaker 1: I I I bet there's not one reason. Online I've

427
00:27:26,680 --> 00:27:32,840
Speaker 1: seen a predictable amount of frustration with Kamala as the

428
00:27:32,920 --> 00:27:37,400
Speaker 1: pick given her past as a prosecutor. It just really

429
00:27:37,440 --> 00:27:41,920
Speaker 1: depends I think that a lot of the Latino votes,

430
00:27:42,000 --> 00:27:45,800
Speaker 1: like you said, it's you know, the younger male Latino's um. Uh,

431
00:27:46,000 --> 00:27:51,560
Speaker 1: people that are you know, born here in America, um,

432
00:27:51,600 --> 00:27:54,879
Speaker 1: but maybe don't have a college education. Or it depends,

433
00:27:54,880 --> 00:27:59,879
Speaker 1: like we said earlier, regionally on the demographics in the region.

434
00:28:00,160 --> 00:28:03,639
Speaker 1: But it is definitely confusing when you look at it

435
00:28:03,720 --> 00:28:08,280
Speaker 1: big picture, you're like, how how Yeah, I mean, it's

436
00:28:08,359 --> 00:28:10,600
Speaker 1: it's there's a number of things. So like one of

437
00:28:10,600 --> 00:28:13,560
Speaker 1: the things that uh was noted in the five thirty

438
00:28:13,560 --> 00:28:15,879
Speaker 1: eight right up, is that and this is talking about

439
00:28:16,760 --> 00:28:19,920
Speaker 1: young black men. Eighteen to twenty nine year old black

440
00:28:19,920 --> 00:28:22,400
Speaker 1: adults agreed that although they didn't always like Trump's policies,

441
00:28:22,400 --> 00:28:25,520
Speaker 1: they liked a strong demeanor and defiance of the establishment. Conversely,

442
00:28:25,560 --> 00:28:27,760
Speaker 1: just ten percent of those sixty and older said the same.

443
00:28:28,280 --> 00:28:30,320
Speaker 1: And there's another one I found. Sorry, it was time

444
00:28:30,520 --> 00:28:34,080
Speaker 1: that I found this quote from from Sam Fullwood the Third,

445
00:28:34,119 --> 00:28:37,119
Speaker 1: a fellow in the Center of Congressional and Presidential Studies

446
00:28:37,160 --> 00:28:39,680
Speaker 1: at the American University UH And with a name like

447
00:28:39,760 --> 00:28:43,200
Speaker 1: Sam Fullwood the Third, you know he understands the needs

448
00:28:43,200 --> 00:28:48,840
Speaker 1: of young black um quote. They are easily disillusioned and disengaged.

449
00:28:48,880 --> 00:28:52,800
Speaker 1: That's universal to youth. Young African Americans don't have the confidence,

450
00:28:52,840 --> 00:28:55,040
Speaker 1: don't have confidence that the system will or can function

451
00:28:55,080 --> 00:28:56,720
Speaker 1: in a way that will advantage their lives. They have

452
00:28:56,760 --> 00:28:58,920
Speaker 1: no evidence or little evidence that the system will improve

453
00:28:58,960 --> 00:29:01,360
Speaker 1: their lives. When the gauge with the system, more often

454
00:29:01,360 --> 00:29:03,320
Speaker 1: than not, it is adverse in some ways, it is

455
00:29:03,360 --> 00:29:06,000
Speaker 1: destructive and life threatening to them. As a result of that,

456
00:29:06,040 --> 00:29:09,360
Speaker 1: they have little inclination to engage with that system. So,

457
00:29:09,920 --> 00:29:14,040
Speaker 1: you know, one man's opinion, Yeah, it does to an

458
00:29:14,080 --> 00:29:17,440
Speaker 1: extent makes sense. So like you know, young people are

459
00:29:17,480 --> 00:29:21,440
Speaker 1: susceptible to propaganda. They spend all their time online. Uh,

460
00:29:21,480 --> 00:29:24,920
Speaker 1: there's tons of that online and in the Trump campaign

461
00:29:24,960 --> 00:29:28,120
Speaker 1: has worked really hard to reach out to young black

462
00:29:28,160 --> 00:29:31,120
Speaker 1: men in particular and and at least young Hispanic men

463
00:29:31,200 --> 00:29:35,560
Speaker 1: and like um in Florida. Um. So, like some of

464
00:29:35,560 --> 00:29:39,480
Speaker 1: this major we may be seeing, like the the the

465
00:29:39,640 --> 00:29:42,480
Speaker 1: fact that some of that has worked. And again it's

466
00:29:42,520 --> 00:29:44,960
Speaker 1: it's worth noting, like in the way I've seen some

467
00:29:45,000 --> 00:29:47,200
Speaker 1: places like the Daily Wire talk about is like Trump

468
00:29:47,240 --> 00:29:50,480
Speaker 1: is attracting historic support from from these groups. And it's like,

469
00:29:50,520 --> 00:29:56,400
Speaker 1: I guess you could say that for a Republican. Yes,

470
00:29:57,040 --> 00:30:03,920
Speaker 1: it's also again U not a sizeable like not not

471
00:30:04,080 --> 00:30:08,040
Speaker 1: the not nearly a majority, right, so, and and it's

472
00:30:08,080 --> 00:30:10,560
Speaker 1: worth noting. And here's what's really odd here, just in

473
00:30:10,640 --> 00:30:13,680
Speaker 1: terms of like kind of comparing this to is that

474
00:30:13,680 --> 00:30:16,360
Speaker 1: while Trump has has gained you kind of no matter

475
00:30:16,360 --> 00:30:19,480
Speaker 1: who you look at, he has made significant inroads, um

476
00:30:19,520 --> 00:30:22,680
Speaker 1: with black and Hispanic voters, young black and Hispanic voters,

477
00:30:22,680 --> 00:30:24,840
Speaker 1: I should say, because his numbers with older ones have

478
00:30:24,920 --> 00:30:28,000
Speaker 1: not really been impacted at all. While he has has

479
00:30:28,040 --> 00:30:31,720
Speaker 1: made inroads there, he's lost a lot of ground with

480
00:30:32,320 --> 00:30:38,680
Speaker 1: white people and most most particularly old white people. UM

481
00:30:38,720 --> 00:30:41,520
Speaker 1: like that. And and the big reason for that seems

482
00:30:41,560 --> 00:30:47,600
Speaker 1: to be the coronavirus, because old people are scared of dying. Yeah,

483
00:30:47,720 --> 00:30:50,720
Speaker 1: I mean they saw him do the things. Yeah, they

484
00:30:50,720 --> 00:30:54,640
Speaker 1: don't like it. They you can look at uh he's making.

485
00:30:54,680 --> 00:30:58,640
Speaker 1: Trump's making his own attack ads for himself. You know,

486
00:30:58,680 --> 00:31:00,880
Speaker 1: he takes off his mask and then Joe Biden. Literally

487
00:31:00,920 --> 00:31:02,120
Speaker 1: all he has to do is put on a mask

488
00:31:02,200 --> 00:31:03,960
Speaker 1: and say I don't want you to die. That's it.

489
00:31:04,960 --> 00:31:09,800
Speaker 1: Earlier this week, on several occasions, Trump bragged and like

490
00:31:09,880 --> 00:31:12,400
Speaker 1: attacked Joe Biden because he said he was going to

491
00:31:12,440 --> 00:31:14,640
Speaker 1: listen to the scientists. He did a whole speech at

492
00:31:14,680 --> 00:31:18,920
Speaker 1: Israeli like Biden's gonna listen to the scientists. Froucy. All

493
00:31:19,040 --> 00:31:21,400
Speaker 1: Biden did in response to that was cut an ad

494
00:31:21,440 --> 00:31:25,360
Speaker 1: together with that quote and say yes, Joe, both for

495
00:31:25,480 --> 00:31:27,640
Speaker 1: Joe Biden, I will listen to scientists. That is the

496
00:31:27,640 --> 00:31:30,800
Speaker 1: phrase that was using the ad, and that that's a

497
00:31:30,800 --> 00:31:34,040
Speaker 1: good messaging for older people who do not want to

498
00:31:34,080 --> 00:31:37,600
Speaker 1: die because of this global pandemic. It's just such a

499
00:31:37,640 --> 00:31:43,000
Speaker 1: wild stance. Don't trust science, It's complete trust me, the president,

500
00:31:43,720 --> 00:31:47,640
Speaker 1: the grifter president. Uh, and my vaccine promises and stuff

501
00:31:48,120 --> 00:31:54,280
Speaker 1: it the programming, like, like, how do you expect that plays?

502
00:31:55,120 --> 00:31:57,240
Speaker 1: It works on some people, Like, I mean it's what

503
00:31:57,480 --> 00:32:04,160
Speaker 1: it's it's see younger people. Seems completely uh absurd for sure,

504
00:32:04,280 --> 00:32:07,240
Speaker 1: but like his whole brand of fascism is completely irrational,

505
00:32:07,240 --> 00:32:10,880
Speaker 1: because that's what fascism is. Um And like earlier today

506
00:32:11,200 --> 00:32:13,520
Speaker 1: Dave Ruben went on his show and talked about how

507
00:32:13,560 --> 00:32:16,160
Speaker 1: you shouldn't trust scientists because in in sci fi movies

508
00:32:16,200 --> 00:32:19,840
Speaker 1: scientists they're scientists that are evil because people because it's

509
00:32:19,880 --> 00:32:23,800
Speaker 1: sucking stupid. Yeah, exactly, yes, oh my, is exactly the

510
00:32:23,800 --> 00:32:34,000
Speaker 1: correct response to that. You know, irrationality works. Yeah, this

511
00:32:34,200 --> 00:32:40,840
Speaker 1: is ruping it up. Oh my god man, awesome, awesome.

512
00:32:42,080 --> 00:32:45,080
Speaker 1: What else we got here? He's a champion. I want

513
00:32:45,080 --> 00:32:47,560
Speaker 1: to talk about are you a little bit because we're

514
00:32:47,840 --> 00:32:50,920
Speaker 1: talking a little bit about the youth, the youth vote

515
00:32:51,000 --> 00:32:55,160
Speaker 1: and stuff and and this is actually a perfect chef's

516
00:32:55,240 --> 00:32:58,040
Speaker 1: kiss transition. I'll stop commenting on it and allow you

517
00:32:58,080 --> 00:33:00,120
Speaker 1: to speak. No, no, no, you're right, it's good. We

518
00:33:00,120 --> 00:33:06,760
Speaker 1: should talk. We should spend more time in excellent excellent, Yeah, uh,

519
00:33:06,800 --> 00:33:10,880
Speaker 1: what have we been talking about? The yeah, so I'm

520
00:33:10,880 --> 00:33:12,560
Speaker 1: talking about like the youth and like, you know this

521
00:33:12,680 --> 00:33:17,400
Speaker 1: propaganda out there online, um prager you, which, according to

522
00:33:17,400 --> 00:33:19,840
Speaker 1: their website, Prague University, according to the website, is not

523
00:33:19,920 --> 00:33:26,280
Speaker 1: an accredited university. Oh no, really, favorite favorite disclaimer in

524
00:33:26,320 --> 00:33:32,040
Speaker 1: black and white, very clearly university. Cody, quick question, Am

525
00:33:32,240 --> 00:33:36,160
Speaker 1: I a university? Absolutely? You are universe? Okay, that's good.

526
00:33:36,880 --> 00:33:42,239
Speaker 1: You are never never doubt yourself. What you both have

527
00:33:42,360 --> 00:33:47,040
Speaker 1: master's degrees and Sophie you get a doctorate. Yeah okay,

528
00:33:47,200 --> 00:33:52,320
Speaker 1: well yeah, so there you go. You can all apply

529
00:33:52,440 --> 00:33:56,040
Speaker 1: for jobs and whatever field you want. Well, it's just uh,

530
00:33:56,080 --> 00:33:59,560
Speaker 1: it's it's not it's it's tangentially election related because more

531
00:33:59,560 --> 00:34:02,800
Speaker 1: and more are pragor you videos are being shown in schools,

532
00:34:02,880 --> 00:34:07,240
Speaker 1: high school schools, UM and colleges. Colleges, I I understand

533
00:34:07,240 --> 00:34:09,239
Speaker 1: a bit more. That's like the time when you're like,

534
00:34:09,239 --> 00:34:11,440
Speaker 1: all right, when we're all we're all like kind of

535
00:34:11,480 --> 00:34:13,680
Speaker 1: adults and we're gonna talk about this. This is the

536
00:34:13,719 --> 00:34:17,960
Speaker 1: time to to like to discuss or whatever. Um. But

537
00:34:18,000 --> 00:34:21,480
Speaker 1: pregor's mission from the very beginning, um like it's it's

538
00:34:21,480 --> 00:34:25,000
Speaker 1: funded by the Wilkes brothers, who are fracking billionaires they're

539
00:34:25,120 --> 00:34:29,640
Speaker 1: very hyper conservative fundamentalist Christians who believe a lot of

540
00:34:29,719 --> 00:34:34,080
Speaker 1: they're like homophobic. Uh, they believe God and fossil fuels.

541
00:34:34,239 --> 00:34:36,880
Speaker 1: It's all like there, it's what. They're wild people, and

542
00:34:36,880 --> 00:34:39,480
Speaker 1: they're billionaires and their fund preggor you, even though preggor

543
00:34:39,560 --> 00:34:42,480
Speaker 1: You says we need your donations to to stay alive. No,

544
00:34:42,520 --> 00:34:46,120
Speaker 1: they're being funded by billionaires. Don't give them your money. Um.

545
00:34:46,160 --> 00:34:49,520
Speaker 1: But they have always had this idea that the Left

546
00:34:49,560 --> 00:34:53,920
Speaker 1: is indoctrinating kids in schools with their history and their science. Um.

547
00:34:54,000 --> 00:34:57,319
Speaker 1: And they lament this because they're not indoctrinating them enough.

548
00:34:57,680 --> 00:35:02,080
Speaker 1: Pragor you. Dennis Prager specifically wants to indoctrinate your children,

549
00:35:02,080 --> 00:35:04,480
Speaker 1: and he's upset because he thinks that they're being indoctrinated

550
00:35:04,520 --> 00:35:07,080
Speaker 1: by other people. So prigger you is set up this

551
00:35:07,080 --> 00:35:15,719
Speaker 1: thing called prep um. Well yes, um, but to them

552
00:35:15,760 --> 00:35:19,120
Speaker 1: it stands for prager you, educators and parents. I don't

553
00:35:19,160 --> 00:35:22,280
Speaker 1: know if they did this on purpose or not. Um,

554
00:35:22,520 --> 00:35:27,560
Speaker 1: it's unclear that you get the first two letters like

555
00:35:27,800 --> 00:35:31,960
Speaker 1: pr anyway, continue I mean yeah, yeah, no, it's it's

556
00:35:32,080 --> 00:35:36,400
Speaker 1: very uh pup p U e P that's something that

557
00:35:36,440 --> 00:35:40,359
Speaker 1: would work. Um. But Basically, it's a it's a new

558
00:35:40,400 --> 00:35:43,880
Speaker 1: program of theirs launched very recently on the top of

559
00:35:43,920 --> 00:35:47,920
Speaker 1: their page. Schools have been peddling leftist propaganda. And Uh,

560
00:35:47,960 --> 00:35:53,520
Speaker 1: they're trying to get their videos played in schools and

561
00:35:53,840 --> 00:35:57,239
Speaker 1: reach parents and educators. That's what their plan has been

562
00:35:57,400 --> 00:36:01,080
Speaker 1: the entire time. Uh. Their articles from years ago were

563
00:36:01,719 --> 00:36:05,000
Speaker 1: the funders talk about how, yeah, we want to reach

564
00:36:05,480 --> 00:36:09,600
Speaker 1: young people and influence them. Uh, that is their goal,

565
00:36:10,000 --> 00:36:12,400
Speaker 1: and they're doing that more and more. UM. I keep

566
00:36:12,440 --> 00:36:14,680
Speaker 1: seeing tweets from people like, oh, yeah, I saw pregor

567
00:36:14,719 --> 00:36:16,560
Speaker 1: you video in my school. Teachers showed me this, show

568
00:36:16,600 --> 00:36:19,719
Speaker 1: me this. Um, there's a reason article on Huffing to

569
00:36:19,760 --> 00:36:25,040
Speaker 1: post about a specific incident of this in an Ohio classroom. UM,

570
00:36:25,080 --> 00:36:28,200
Speaker 1: in a public school, they showed a bunch of videos.

571
00:36:28,239 --> 00:36:31,080
Speaker 1: You get extra credit for watching, extra credit for watching

572
00:36:31,160 --> 00:36:33,640
Speaker 1: pragor you videos. You guys can't see me because I

573
00:36:33,680 --> 00:36:38,680
Speaker 1: turned my camera off. But I'm anxiously biding my nails, obsessive.

574
00:36:39,719 --> 00:36:42,680
Speaker 1: It's I'm I'm sorry. It's very it's very upsetting, um

575
00:36:42,840 --> 00:36:47,680
Speaker 1: and uh and insidious. Some of the videos being shown.

576
00:36:48,200 --> 00:36:51,759
Speaker 1: Quote build the Wall, why the right was right? The

577
00:36:51,880 --> 00:36:57,239
Speaker 1: left ruins everything Um, conservatives are the real environmentalists. Just

578
00:36:57,480 --> 00:37:01,640
Speaker 1: a a oh is a great one. Uh. That brings

579
00:37:01,640 --> 00:37:04,040
Speaker 1: it back to this episode how to steal an election

580
00:37:04,160 --> 00:37:08,680
Speaker 1: colon mail in ballots. That's one of their videos as well. Um.

581
00:37:08,760 --> 00:37:11,640
Speaker 1: And the issue one of the main problems with prager

582
00:37:11,680 --> 00:37:14,880
Speaker 1: you videos is that they are five minutes long. Uh,

583
00:37:14,920 --> 00:37:18,759
Speaker 1: they're very varioushonest, they use misleading information, they lie, they

584
00:37:18,840 --> 00:37:21,759
Speaker 1: lie in various ways. Um. And in order to really

585
00:37:21,840 --> 00:37:24,520
Speaker 1: debunk a pregor you video, you need about forty minutes

586
00:37:24,560 --> 00:37:26,440
Speaker 1: to explain why you'd be like, well, they're saying this,

587
00:37:26,520 --> 00:37:29,160
Speaker 1: but actually it's this, and you need to explain their

588
00:37:29,280 --> 00:37:32,960
Speaker 1: rhetoric because they're lying on their lying to you that

589
00:37:33,000 --> 00:37:36,960
Speaker 1: it's propaganda. To dismantle propaganda is harder than to just

590
00:37:37,280 --> 00:37:40,880
Speaker 1: release some short little propaganda. Yeah, it's just something to

591
00:37:41,160 --> 00:37:44,200
Speaker 1: keep an eye out for. I think we'll probably revisit

592
00:37:44,239 --> 00:37:48,399
Speaker 1: this in the future because it's it's gonna get worse

593
00:37:48,440 --> 00:37:53,719
Speaker 1: and worse. It's not going to change with an election

594
00:37:53,760 --> 00:37:56,240
Speaker 1: result that we like. This is one of those things

595
00:37:56,280 --> 00:38:00,840
Speaker 1: that is going to keep developing and and polarizing our country. Yes,

596
00:38:01,160 --> 00:38:03,560
Speaker 1: it's it's there, and it's like it's it's it's in

597
00:38:03,680 --> 00:38:08,160
Speaker 1: line with Trump's you know, resistance of like the project

598
00:38:08,239 --> 00:38:11,680
Speaker 1: and his whole like we're gonna do patriotic education, which

599
00:38:12,160 --> 00:38:15,520
Speaker 1: is I don't love that phrase, um for public education,

600
00:38:15,960 --> 00:38:18,080
Speaker 1: but it's in line with that. That's the goal here,

601
00:38:18,360 --> 00:38:22,279
Speaker 1: and whether or not Trump was reelected, uh, pragger you

602
00:38:22,640 --> 00:38:25,080
Speaker 1: has that mission and they have a lot of in

603
00:38:25,239 --> 00:38:29,319
Speaker 1: roads there. Um. They have tons of subscribers, people doing

604
00:38:29,320 --> 00:38:32,759
Speaker 1: it to them all the time. People don't know how

605
00:38:32,800 --> 00:38:36,200
Speaker 1: insidious they are sometimes. Uh. They literally they had a

606
00:38:36,239 --> 00:38:39,920
Speaker 1: two videos by one of their quote professors. Again it's

607
00:38:39,920 --> 00:38:42,279
Speaker 1: not an a credit university. By their own admission, they

608
00:38:42,280 --> 00:38:44,960
Speaker 1: had two videos. One was about the death of comedy,

609
00:38:45,040 --> 00:38:48,759
Speaker 1: you can't do jokes anymore, um, and one was why

610
00:38:48,840 --> 00:38:52,040
Speaker 1: you can't argue with the leftist leftists are so unreasonable.

611
00:38:52,400 --> 00:38:54,920
Speaker 1: The guy who did that, did both of those videos

612
00:38:55,000 --> 00:38:58,960
Speaker 1: is Owen Benjamin, a Holocaust denier and like who like

613
00:38:59,560 --> 00:39:04,360
Speaker 1: is way way down the alt right rabbit hole these days. Um.

614
00:39:04,400 --> 00:39:06,600
Speaker 1: And they scrubbed those videos, they took those videos out,

615
00:39:06,640 --> 00:39:10,480
Speaker 1: but they made those videos uncritically with this person. Um.

616
00:39:10,560 --> 00:39:17,400
Speaker 1: And it's just it's just a very wanted to bring it.

617
00:39:17,560 --> 00:39:19,959
Speaker 1: See this in your life, make sure to push back

618
00:39:20,000 --> 00:39:22,600
Speaker 1: on it. I saw somebody share I don't think it

619
00:39:22,680 --> 00:39:26,640
Speaker 1: was one of the prep videos share a breaker you.

620
00:39:27,160 --> 00:39:30,760
Speaker 1: It was back with the you know, demon seman doctor

621
00:39:31,080 --> 00:39:33,759
Speaker 1: sharing stuff talking about that and kids and you know,

622
00:39:33,840 --> 00:39:38,080
Speaker 1: and she's some centrist person that I know from Hollywood stuff.

623
00:39:38,600 --> 00:39:42,440
Speaker 1: And I just was like, looking to bregger you a bit.

624
00:39:42,560 --> 00:39:44,799
Speaker 1: That's not a place that you should be trusting any

625
00:39:44,840 --> 00:39:48,160
Speaker 1: of the stuff that comes from there. And they're intellectually dishonest,

626
00:39:48,680 --> 00:39:51,600
Speaker 1: and and she was like, oh goodness, I had no idea.

627
00:39:51,920 --> 00:39:54,520
Speaker 1: So I just encourage you to push back on it

628
00:39:54,560 --> 00:39:57,759
Speaker 1: when you see it in your life. Yeah, and and

629
00:39:57,840 --> 00:39:59,920
Speaker 1: figure out, like you half the videos you see shared,

630
00:40:00,320 --> 00:40:02,680
Speaker 1: If you google that title of that video and the

631
00:40:02,719 --> 00:40:05,440
Speaker 1: word debunk, you'll probably find a video that explains why

632
00:40:05,440 --> 00:40:08,719
Speaker 1: it's wrong. Um. There are resources out there, but yeah,

633
00:40:08,760 --> 00:40:13,279
Speaker 1: push back on it, especially if it's happening in your school. Uh,

634
00:40:13,680 --> 00:40:17,440
Speaker 1: make sure that happens. Yes, if you're student or this

635
00:40:17,520 --> 00:40:19,879
Speaker 1: is happening, talk to your teacher about it to make

636
00:40:19,920 --> 00:40:24,200
Speaker 1: this a conversation point in the classroom exactly. Yeah, question

637
00:40:24,280 --> 00:40:28,080
Speaker 1: why they're making you watch this. That's what school is for, um,

638
00:40:28,120 --> 00:40:31,000
Speaker 1: and that's how you're going to really reach people, we

639
00:40:31,000 --> 00:40:37,000
Speaker 1: have to take a quick break. You know what, you've

640
00:40:37,040 --> 00:40:43,000
Speaker 1: got this teach you fascism. I'm sorry, I'm Robert. You

641
00:40:43,040 --> 00:40:47,800
Speaker 1: know who you know who is an accredited university you

642
00:40:49,800 --> 00:40:56,960
Speaker 1: can learn. If you buy any of Raytheon's products, it

643
00:40:57,040 --> 00:41:00,600
Speaker 1: comes with a free doctorate in in whatever, because Raytheon

644
00:41:00,840 --> 00:41:03,360
Speaker 1: controls all of the levers of power and can grant

645
00:41:03,400 --> 00:41:06,719
Speaker 1: you everything you desire as long as you don't care

646
00:41:06,760 --> 00:41:10,959
Speaker 1: about school buses in certain countries. Yeah what they said,

647
00:41:11,200 --> 00:41:15,240
Speaker 1: just just certain countries, certain countries. Not your country yet, yours,

648
00:41:15,320 --> 00:41:25,640
Speaker 1: not yours yet? Yeah, No, Daniel, keep all of this in,

649
00:41:25,640 --> 00:41:28,120
Speaker 1: including us telling you to cut it and then telling

650
00:41:28,160 --> 00:41:31,719
Speaker 1: you not to cut it. This part in where I

651
00:41:31,760 --> 00:41:35,080
Speaker 1: tell you guys, I'm going to go pe real quick. Okay, yeah,

652
00:41:35,640 --> 00:41:39,120
Speaker 1: keep that in. Let's let's just talk about peeing for

653
00:41:39,160 --> 00:41:42,120
Speaker 1: a second. Cody, Okay, here's the no. No, no, I

654
00:41:42,120 --> 00:41:56,480
Speaker 1: would love to hear about yourself together everything and we

655
00:41:56,560 --> 00:42:02,719
Speaker 1: are back from that. We sure are, We sure are.

656
00:42:02,800 --> 00:42:06,440
Speaker 1: My my camera is still off, but rest assured, guys,

657
00:42:06,560 --> 00:42:11,080
Speaker 1: it's only because I am masturbating. Ah. Yeah, everyone, everyone

658
00:42:11,160 --> 00:42:14,560
Speaker 1: involved in the production of this podcast is always masturbating

659
00:42:14,760 --> 00:42:18,720
Speaker 1: that that is That's what I mean, that's what we signed.

660
00:42:18,840 --> 00:42:21,160
Speaker 1: We signed the we signed the contract it said it

661
00:42:21,400 --> 00:42:24,839
Speaker 1: was be masturbating, and we said, okay, so A b

662
00:42:25,000 --> 00:42:29,360
Speaker 1: M guys A b M yeah, A b M W

663
00:42:29,760 --> 00:42:34,720
Speaker 1: c C always be masturbating during work conference calls. Uh. Yeah,

664
00:42:34,960 --> 00:42:39,680
Speaker 1: as as I always say and have tattooed across my throat. Yeah,

665
00:42:39,760 --> 00:42:42,600
Speaker 1: it's good to have that reminder whenever we whenever we

666
00:42:42,760 --> 00:42:48,080
Speaker 1: do this, Cody, you wanted to talk about something. Yeah,

667
00:42:48,120 --> 00:42:50,239
Speaker 1: so I wanted to talk about just this brief thing,

668
00:42:50,560 --> 00:42:54,200
Speaker 1: UM related to the election. We've been seeing various stories.

669
00:42:54,600 --> 00:42:58,160
Speaker 1: I think we mentioned it last week on this episode

670
00:42:58,520 --> 00:43:00,600
Speaker 1: or this show, or like our others show many any

671
00:43:00,640 --> 00:43:04,200
Speaker 1: of the shows. Um, some fake ballot boxes going up

672
00:43:04,840 --> 00:43:09,120
Speaker 1: um around l a um and uh you know the

673
00:43:09,560 --> 00:43:12,799
Speaker 1: you know, just like the President's constant messaging of like

674
00:43:12,880 --> 00:43:18,680
Speaker 1: watch the polls, get out there and watch the polls. Um. Yeah,

675
00:43:19,040 --> 00:43:23,640
Speaker 1: what there was that um that cop today? Uh, like

676
00:43:23,719 --> 00:43:27,040
Speaker 1: doing security at a poll who had a mask like Trump?

677
00:43:27,160 --> 00:43:31,319
Speaker 1: A Trump mask, stuff like that. Um. Sunday night of

678
00:43:31,400 --> 00:43:34,880
Speaker 1: this week, UM, in Baldwin Park, ballot box, an official

679
00:43:34,880 --> 00:43:38,080
Speaker 1: ballot box drop box was on fire literally just on

680
00:43:38,120 --> 00:43:41,719
Speaker 1: fire on the inside in Los Angeles. Uh yeah, in

681
00:43:41,880 --> 00:43:44,800
Speaker 1: near l A County in uh yeah, Baldwin Park in

682
00:43:44,960 --> 00:43:52,759
Speaker 1: l A. Um and not is Um it's pretty bad. Um.

683
00:43:53,040 --> 00:43:58,399
Speaker 1: And uh it was around over two hundred ballots were involved. Um.

684
00:43:58,480 --> 00:44:00,040
Speaker 1: That might not seem like a lot, or maybe it

685
00:44:00,080 --> 00:44:03,160
Speaker 1: does seem like a lot. Um. It's uh kind of

686
00:44:03,160 --> 00:44:07,200
Speaker 1: irrelevant how many ballots because somebody any amount of balance,

687
00:44:07,480 --> 00:44:10,600
Speaker 1: somebody let that ballot box out of fire. Also here

688
00:44:10,640 --> 00:44:15,200
Speaker 1: in Los Angeles, yesterday, a friend of mine was notified

689
00:44:15,239 --> 00:44:21,120
Speaker 1: by their building that a mail truck carrying all of

690
00:44:21,160 --> 00:44:25,719
Speaker 1: their ballots was robbed, was was stopped, and all of

691
00:44:25,880 --> 00:44:30,359
Speaker 1: and the mail was stolen, all of the ballots that

692
00:44:30,400 --> 00:44:38,760
Speaker 1: were in for this area. Yeah, I don't I don't

693
00:44:38,840 --> 00:44:41,840
Speaker 1: have other than that. I just confirmed with her and

694
00:44:41,920 --> 00:44:47,480
Speaker 1: she's like, yeah, we got this message saying like everybody

695
00:44:47,480 --> 00:44:49,799
Speaker 1: in this building and I guess this neighborhood, this like

696
00:44:49,880 --> 00:44:58,160
Speaker 1: little the street are affected. Oh anyway, that's cool. We

697
00:44:58,200 --> 00:45:02,440
Speaker 1: should hear more information about that. Yeah, I want to.

698
00:45:02,480 --> 00:45:04,880
Speaker 1: I want to read a story about that. Yeah, we

699
00:45:04,920 --> 00:45:07,960
Speaker 1: will see what happens more information. That was all the

700
00:45:08,000 --> 00:45:11,080
Speaker 1: information she had, obviously anecdotal, but that's what she got

701
00:45:11,120 --> 00:45:15,560
Speaker 1: from her and and like it's very frustrating, It's incredibly frustrating.

702
00:45:15,800 --> 00:45:18,799
Speaker 1: So for her, they hadn't received her ballots, so she

703
00:45:18,920 --> 00:45:21,879
Speaker 1: was receiving her ballots so she can request another one

704
00:45:22,000 --> 00:45:24,799
Speaker 1: or just go show up in person and vote. Um

705
00:45:24,840 --> 00:45:28,200
Speaker 1: at her polling place. But what about people that have

706
00:45:28,280 --> 00:45:29,840
Speaker 1: cast you know what I mean, Like, we don't know

707
00:45:29,880 --> 00:45:35,920
Speaker 1: what the implications of this are. Yeah, with that fully

708
00:45:36,000 --> 00:45:41,399
Speaker 1: flashed out story, that's bad. I'm not bad that bad

709
00:45:41,480 --> 00:45:46,239
Speaker 1: news from Katie good Um anyway, Yeah, no, that's I mean,

710
00:45:46,239 --> 00:45:49,719
Speaker 1: that's uh this section about how bad that is and

711
00:45:49,920 --> 00:45:55,439
Speaker 1: all the tampering and uh and and just and other

712
00:45:55,600 --> 00:45:58,160
Speaker 1: stories that we see, And like, I I start googling it,

713
00:45:58,360 --> 00:46:01,640
Speaker 1: but I don't see that many articles or things that

714
00:46:02,000 --> 00:46:06,560
Speaker 1: are specifically focused on this. But I've heard from listeners

715
00:46:06,800 --> 00:46:11,719
Speaker 1: from friends and other states. Um, the voter intimidation is real.

716
00:46:11,800 --> 00:46:15,120
Speaker 1: It's happening, people showing up at polls, preventing them from voting.

717
00:46:15,600 --> 00:46:17,359
Speaker 1: You know, I'm saying this is a bad situation. I'm

718
00:46:17,400 --> 00:46:21,320
Speaker 1: leaving for today. Yeah, yeah, I see every day. Uh,

719
00:46:21,520 --> 00:46:26,560
Speaker 1: that's that is happening. Um. I wonder why before we

720
00:46:26,640 --> 00:46:33,520
Speaker 1: go I think it's worth mentioning this Hunter Biden's story

721
00:46:33,719 --> 00:46:40,680
Speaker 1: because Wow, I'm the October surprised. Yeah, not really a

722
00:46:40,760 --> 00:46:42,960
Speaker 1: surprise so much as something that we all expected to

723
00:46:43,000 --> 00:46:48,440
Speaker 1: happen when we were litigating our potential presidential nominees. UM.

724
00:46:48,480 --> 00:46:53,239
Speaker 1: If you're confused by this story, uh, I get it,

725
00:46:53,760 --> 00:46:57,680
Speaker 1: me too. Um. But okay, let's give you a little

726
00:46:57,680 --> 00:47:00,160
Speaker 1: brief over you. This is from help help me out,

727
00:47:00,239 --> 00:47:02,600
Speaker 1: helped me out. I will, I will, this will slate

728
00:47:02,600 --> 00:47:05,560
Speaker 1: will right now. The New York Post claimed and the

729
00:47:05,640 --> 00:47:08,960
Speaker 1: story published last Wednesday, to have obtained a copy of

730
00:47:09,000 --> 00:47:12,360
Speaker 1: a hard drive from Hunter Biden's laptop that contains emails

731
00:47:12,360 --> 00:47:16,040
Speaker 1: revealing his foreign business dealings, along with personal photos. According

732
00:47:16,040 --> 00:47:18,320
Speaker 1: to the Post, someone obtained the laptop at a computer

733
00:47:18,520 --> 00:47:21,399
Speaker 1: repair shop in Delaware, and the data on the hard

734
00:47:21,440 --> 00:47:26,120
Speaker 1: drive subsequently reached the FBI and Rudy Giuliani. Uh Steve

735
00:47:26,160 --> 00:47:28,080
Speaker 1: Bannon is said to have notified the Post of the

736
00:47:28,080 --> 00:47:31,520
Speaker 1: hard drive's existence, and then Giuliani supplied the tabloid with

737
00:47:31,560 --> 00:47:33,759
Speaker 1: a copy. The Post has now run a series of

738
00:47:33,760 --> 00:47:35,879
Speaker 1: expose is based on the contents of the hard drive.

739
00:47:35,920 --> 00:47:38,759
Speaker 1: The most purportedly explosive A witch has to do with

740
00:47:38,840 --> 00:47:43,759
Speaker 1: an email that Hunter Biden supposedly received in two from

741
00:47:43,840 --> 00:47:47,520
Speaker 1: that in pozar Ski, I don't know if I pronounced

742
00:47:47,520 --> 00:47:51,200
Speaker 1: that right Aboard advisor at the Ukrainian energy company Breeze

743
00:47:51,239 --> 00:47:54,080
Speaker 1: mom In it, pozart Sky thanks Hunter Biden for introducing

744
00:47:54,160 --> 00:47:56,640
Speaker 1: him to then Vice President Joe Biden. This would seem

745
00:47:56,680 --> 00:47:59,920
Speaker 1: to be evidence limply supporting the Republicans allegations that how

746
00:48:00,040 --> 00:48:02,719
Speaker 1: Dr Biden, who worked for Barisma, had convinced his father

747
00:48:02,800 --> 00:48:05,160
Speaker 1: to do favors for the Ukrainian company using the powers

748
00:48:05,160 --> 00:48:09,759
Speaker 1: of the Vice presidency. Okay, okay, okay, okay. So there's that,

749
00:48:10,040 --> 00:48:14,160
Speaker 1: but just for context, um months ago years, I don't know.

750
00:48:15,239 --> 00:48:18,680
Speaker 1: The big narrative that Trump was pushing against Biden was

751
00:48:18,719 --> 00:48:23,200
Speaker 1: that he engaged in quid pro q row. Bisma hires Hunter,

752
00:48:23,400 --> 00:48:27,480
Speaker 1: and Biden uses his influence to fire Victor Shokin, the

753
00:48:27,680 --> 00:48:33,920
Speaker 1: corrupt prosecutor who was investigating Bisma. However, their story breaks

754
00:48:33,920 --> 00:48:38,279
Speaker 1: down because Shokin was not in fact investigating Bisma, and

755
00:48:38,320 --> 00:48:43,239
Speaker 1: that was the problem. Biden did influence his firing. He

756
00:48:43,280 --> 00:48:46,200
Speaker 1: hasn't denied that, he's bragged about it, but that's because

757
00:48:46,719 --> 00:48:49,839
Speaker 1: Shokin was actually standing in the way of the investigation

758
00:48:50,160 --> 00:48:55,160
Speaker 1: of Bisma. In fact, Ukrainian prosecutors and anti corruption advocates

759
00:48:55,760 --> 00:49:00,400
Speaker 1: who were pushing for the investigation UH said the probe

760
00:49:00,440 --> 00:49:05,600
Speaker 1: had been dormant because of Shokin And Okay, so I

761
00:49:05,680 --> 00:49:08,560
Speaker 1: said this back when we were originally talking about this story.

762
00:49:08,719 --> 00:49:12,600
Speaker 1: It's not a good look that the then vice president

763
00:49:12,880 --> 00:49:17,360
Speaker 1: of America, UH, you know, had any sort of connection

764
00:49:17,400 --> 00:49:20,319
Speaker 1: with a company that has, you know, ties to a

765
00:49:20,400 --> 00:49:24,680
Speaker 1: foreign government. You know, do I think that Joe Biden

766
00:49:25,239 --> 00:49:29,239
Speaker 1: helped Hunter, his underqualified son get a job. Yeah, I

767
00:49:29,239 --> 00:49:33,120
Speaker 1: I do. And that's kind of shade. That is absolutely

768
00:49:33,160 --> 00:49:35,240
Speaker 1: not something that I'm okay with, and it's the reason

769
00:49:35,239 --> 00:49:38,440
Speaker 1: why I didn't want Biden to be the nominee. But

770
00:49:38,560 --> 00:49:42,759
Speaker 1: that's not the story that they're pressing for. And so

771
00:49:42,800 --> 00:49:45,800
Speaker 1: now here we we have this email thing, and it's

772
00:49:45,840 --> 00:49:48,319
Speaker 1: definitely a big eye roll. First off, how did they

773
00:49:48,320 --> 00:49:51,400
Speaker 1: get this hard drive from this story that they claim

774
00:49:51,440 --> 00:49:54,560
Speaker 1: is that somebody brought this computer to a repair shop

775
00:49:54,600 --> 00:49:57,480
Speaker 1: in Delaware, didn't pay for the repair, and so the

776
00:49:57,520 --> 00:50:00,360
Speaker 1: shop owner was like, saw that it had a sticker

777
00:50:00,400 --> 00:50:03,719
Speaker 1: for the Bo Biden Foundation and and decided that they're

778
00:50:03,760 --> 00:50:05,840
Speaker 1: not going to give it to the Biden family. No,

779
00:50:05,920 --> 00:50:09,560
Speaker 1: they're going to take it to Rudy Giuliani. What what

780
00:50:09,640 --> 00:50:14,200
Speaker 1: does Rudy Giuliani have deep ties to Delaware computer repair shows?

781
00:50:14,680 --> 00:50:17,759
Speaker 1: You know what I mean? Like, what we do know

782
00:50:17,840 --> 00:50:20,600
Speaker 1: is that Rudy Giuliani and Steve Bannon, all of them

783
00:50:21,000 --> 00:50:24,759
Speaker 1: do have ties with the Russian government. So there's that. Like,

784
00:50:24,840 --> 00:50:27,080
Speaker 1: I don't want to just say we don't have evidence

785
00:50:27,360 --> 00:50:31,200
Speaker 1: of this, but um, we do have a lot of

786
00:50:31,200 --> 00:50:36,799
Speaker 1: people pointing to this as Russian different disinformation. I think

787
00:50:36,840 --> 00:50:39,560
Speaker 1: that even like another thing that's also likely, it doesn't

788
00:50:39,560 --> 00:50:42,440
Speaker 1: need to be disinformation. It could also be accurate, and

789
00:50:42,480 --> 00:50:44,759
Speaker 1: it could have been hacked by the Russian government, and

790
00:50:44,840 --> 00:50:48,560
Speaker 1: the whole laptop ship can be a But the framing

791
00:50:48,600 --> 00:50:54,279
Speaker 1: of it as this is evidence of a crime, it

792
00:50:54,400 --> 00:50:57,839
Speaker 1: is a little disinformation. E Um, yeah, because it's well yeah,

793
00:50:57,920 --> 00:51:00,480
Speaker 1: and it also has nothing to do like it's it's

794
00:51:00,480 --> 00:51:04,240
Speaker 1: not evidence of Joe Biden doing anything exactly all about

795
00:51:04,280 --> 00:51:08,279
Speaker 1: his kid yeah, um, And we can talk about Giuliani's kids,

796
00:51:08,360 --> 00:51:13,239
Speaker 1: we could talk about Trump's kids. Biden isn't the one.

797
00:51:13,360 --> 00:51:15,440
Speaker 1: I mean, they're pointing to the fact that like, oh,

798
00:51:15,600 --> 00:51:19,200
Speaker 1: his son was using you know, for him to meet

799
00:51:19,239 --> 00:51:22,760
Speaker 1: with these people, and who knows what dealings that went down. Okay,

800
00:51:22,800 --> 00:51:25,360
Speaker 1: well we know what dealings went down with you, Donald Trump.

801
00:51:25,480 --> 00:51:27,719
Speaker 1: We know a lot of the crimes that your kids

802
00:51:27,760 --> 00:51:31,160
Speaker 1: have done. Um and again it does not seem again,

803
00:51:31,200 --> 00:51:33,759
Speaker 1: the original thing that they're pushing, which is about this

804
00:51:33,880 --> 00:51:37,600
Speaker 1: firing of the prosecutor, is as he would say, and

805
00:51:37,680 --> 00:51:43,920
Speaker 1: nothing burger, at least on the services. However, I uh,

806
00:51:44,040 --> 00:51:47,160
Speaker 1: I can't overstate how much I do not like that

807
00:51:47,200 --> 00:51:51,120
Speaker 1: a vice president helped his son, this son. Fuck it,

808
00:51:51,360 --> 00:51:55,439
Speaker 1: like honestly, at this point, fuck it like they're they're

809
00:51:55,480 --> 00:51:58,840
Speaker 1: also corrupt. They're all doing this ship. Giuliani's kids have

810
00:51:58,880 --> 00:52:03,040
Speaker 1: gotten jobs, funking Trump's kids are making money hand over

811
00:52:03,160 --> 00:52:07,280
Speaker 1: first with fist with this, Like, giving a shit about

812
00:52:07,320 --> 00:52:09,919
Speaker 1: this just in the context of Joe Biden right before

813
00:52:09,960 --> 00:52:14,680
Speaker 1: an election is fucking nonsense, because yeah, it's the thing

814
00:52:14,760 --> 00:52:17,280
Speaker 1: that has always been going on and is will always

815
00:52:17,360 --> 00:52:19,120
Speaker 1: be a problem in our system as long as the

816
00:52:19,200 --> 00:52:22,760
Speaker 1: best huge amounts of power in the hands of fucking

817
00:52:22,840 --> 00:52:27,120
Speaker 1: gentrified elite. And it's hard. I think what bugged me

818
00:52:27,680 --> 00:52:31,319
Speaker 1: the most about this is, Okay, we've got people like

819
00:52:32,120 --> 00:52:38,000
Speaker 1: Glenn Greenwald tweeting about how the mainstream media is so

820
00:52:38,080 --> 00:52:41,480
Speaker 1: quick to discredit the story is Russian propaganda, but Biden

821
00:52:41,880 --> 00:52:46,080
Speaker 1: isn't denying the stories, and we are like doing the

822
00:52:47,920 --> 00:52:50,200
Speaker 1: Boy who Cried Wolf kind of a thing, and like

823
00:52:50,280 --> 00:52:53,839
Speaker 1: when Russian disinformation happens that we aren't going to see

824
00:52:53,880 --> 00:52:56,240
Speaker 1: it and all this stuff which is just lending credence

825
00:52:56,280 --> 00:53:00,360
Speaker 1: to this story and keeping it around, and it so

826
00:53:00,440 --> 00:53:04,759
Speaker 1: many echoes of emails and confusion and people saying like

827
00:53:05,480 --> 00:53:09,560
Speaker 1: fuck it, they're all bad um, And I just wanted

828
00:53:09,600 --> 00:53:12,480
Speaker 1: to mention it so you're aware of what's happening, so

829
00:53:12,560 --> 00:53:17,319
Speaker 1: you have information to push back with. And because we

830
00:53:17,320 --> 00:53:19,000
Speaker 1: were right when we said that this is would happen,

831
00:53:21,160 --> 00:53:27,080
Speaker 1: we were yeah. I mean, the thing that's nice about

832
00:53:27,120 --> 00:53:30,600
Speaker 1: it is that so far people don't seem to give

833
00:53:30,600 --> 00:53:34,920
Speaker 1: a ship outside of the right wing media ecosystem, like

834
00:53:34,960 --> 00:53:37,440
Speaker 1: this is not going the way and we'll see, like

835
00:53:37,480 --> 00:53:39,880
Speaker 1: maybe Trump will get like an official investigation going. But

836
00:53:39,880 --> 00:53:41,839
Speaker 1: this is not having the impact like Comey coming out

837
00:53:41,840 --> 00:53:46,080
Speaker 1: about Clinton's emails right before the election had, because maybe

838
00:53:46,160 --> 00:53:48,960
Speaker 1: maybe people have gotten smarter, or maybe they've just gotten

839
00:53:49,000 --> 00:53:52,640
Speaker 1: inured to the right wing calling you know, Boogeyman over

840
00:53:53,000 --> 00:53:58,040
Speaker 1: every Yeah, or maybe they're like, well, this sounds exactly

841
00:53:58,080 --> 00:54:01,080
Speaker 1: like the stuff that Trump is that we've been hearing

842
00:54:01,080 --> 00:54:03,279
Speaker 1: about Trump doo, but not as bad. Why do I

843
00:54:03,400 --> 00:54:07,439
Speaker 1: care about this? There's a plague um? Yeah? Yeah, like yeah,

844
00:54:07,920 --> 00:54:13,920
Speaker 1: And honestly, Biden not denying it. It's probably just the

845
00:54:13,960 --> 00:54:17,600
Speaker 1: best move to just ignore it. I mean, you're not

846
00:54:17,640 --> 00:54:22,840
Speaker 1: giving a story any oxygen um anyway. Is that a

847
00:54:22,920 --> 00:54:26,400
Speaker 1: lackluster end of the episode, perhaps, but yeah, you know

848
00:54:26,440 --> 00:54:31,239
Speaker 1: what's not a lackluster into the episode? Fucking Rush Limbaughs

849
00:54:31,440 --> 00:54:37,520
Speaker 1: Diana cancer. Yeah, he he is thoughts and prayers for

850
00:54:37,560 --> 00:54:41,600
Speaker 1: a speedy death. Is he talking about that? Yeah? He did.

851
00:54:41,680 --> 00:54:44,840
Speaker 1: He just was like, yeah, I'm not winning. Uh. And

852
00:54:46,239 --> 00:54:50,839
Speaker 1: I have no sympathy for Rush Limbaugh. Michael Savage was like,

853
00:54:50,960 --> 00:54:53,800
Speaker 1: Russi limbas a coward in a weekend We're talking about

854
00:54:53,800 --> 00:54:57,439
Speaker 1: it because they're all garbage, because because all of these

855
00:54:58,000 --> 00:55:06,080
Speaker 1: people are trash u um Rush Limbaugh. Uh. And also

856
00:55:06,239 --> 00:55:09,560
Speaker 1: follow the little I hope you Rush Limbaugh in cancer.

857
00:55:09,640 --> 00:55:11,680
Speaker 1: Do you remember in the first Lord of the Rings

858
00:55:11,719 --> 00:55:14,359
Speaker 1: movie where Gandolf and the ball Rock pull each other

859
00:55:14,400 --> 00:55:16,879
Speaker 1: down into that I hope that's what happens with Rush

860
00:55:16,960 --> 00:55:23,200
Speaker 1: Limbaugh and the concept of cancer that that is my yeah,

861
00:55:23,239 --> 00:55:26,919
Speaker 1: but so my my issue here is that either rush

862
00:55:27,040 --> 00:55:30,640
Speaker 1: Limbaugh or cancer will come back with a vengeance later

863
00:55:31,800 --> 00:55:35,400
Speaker 1: even more rush Limbaugh the White or Cancer the worn

864
00:55:36,080 --> 00:55:39,200
Speaker 1: depends either either one doesn't sound great because one of

865
00:55:39,239 --> 00:55:42,360
Speaker 1: them is going to be more powerful. Yeah. Cut cut

866
00:55:42,400 --> 00:55:47,200
Speaker 1: this whole analogy because I don't have this anality. Um. Instead,

867
00:55:47,320 --> 00:55:50,160
Speaker 1: think about who the writers of Rohan are in this

868
00:55:50,360 --> 00:55:56,360
Speaker 1: in this theoretical um, Bikers for Trump, Bikers for Trump

869
00:55:56,680 --> 00:56:04,879
Speaker 1: or potentially uh Kamala Harris or we don't know, just

870
00:56:04,960 --> 00:56:07,840
Speaker 1: don't Yeah, we just don't know. We cannot confirm or

871
00:56:07,920 --> 00:56:10,720
Speaker 1: deny who the political equivalent of the writers of Rohan

872
00:56:11,640 --> 00:56:18,080
Speaker 1: in this theoretical my, but the episodes over can check

873
00:56:18,160 --> 00:56:21,640
Speaker 1: us out online at Worst Year pod on Instagram and Twitter.

874
00:56:22,600 --> 00:56:24,319
Speaker 1: You can follow us to I'm not going to say

875
00:56:24,320 --> 00:56:27,439
Speaker 1: our handles, you'll find them. Check it. But you know what,

876
00:56:28,480 --> 00:56:32,920
Speaker 1: keep on keeping on our famous phrase that we do

877
00:56:32,960 --> 00:56:35,080
Speaker 1: at the end of all the episodes, keep on keeping

878
00:56:35,160 --> 00:56:50,680
Speaker 1: on all right, Bye bye everything. Worst Year Ever is

879
00:56:50,680 --> 00:56:53,359
Speaker 1: a production of I Heart Radio. For more podcasts from

880
00:56:53,360 --> 00:56:56,560
Speaker 1: my Heart Radio, visit the I Heart radio, app, Apple podcasts,

881
00:56:56,640 --> 00:56:58,520
Speaker 1: or wherever you listen to your favorite shows.