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

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Speaker 1: Radio Together everything, So don't don't don recteal polyps are

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Speaker 1: more pleasant and generally a better thing than the year, which,

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Speaker 1: as many of you know, is the worst year ever.

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Speaker 1: And that is also the name of the podcast that

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Speaker 1: I just introduced. Well done, Thank you. Yeah, we almost

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Speaker 1: called this show worse than rectel polyps. You glad we didn't.

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Speaker 1: Glad we didn't. We really we really dodged a recteal

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Speaker 1: polyp with that. One side note, Now that Public is

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Speaker 1: selling masks, our worst year for masks look very very nice. Yeah, yeah,

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Speaker 1: we are officially grifting off the Rhona, so reward us

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Speaker 1: for this shameless behavior. But not sure how I feel

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Speaker 1: about that, But I mean it's cool because for every

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Speaker 1: non medical masks sold too, Public will donate one medical

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Speaker 1: grade mask to direct relief. Yeah, but they sold out

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Speaker 1: really fast, but I guess there'll be more in stock.

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Speaker 1: Why are they Why are they holding medical grade masks hostage?

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Speaker 1: They should just give those away for free, anyway, I

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Speaker 1: should say to our audience. I would I would say more,

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Speaker 1: but I have been stealing a medical grade mask from

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Speaker 1: a doctor's hands. For every one of these masks, we've

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Speaker 1: we've sold, so I should probably just step out and

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Speaker 1: Dan'll clean this up to whatever is appropriate. No, this

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Speaker 1: is all appropriate. So this week we decided it was

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Speaker 1: time to do a bit of an election update. You know,

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Speaker 1: hard to believe there's an election going on, but there

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Speaker 1: is that still happening. That's still happening, to remember that.

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Speaker 1: So we're gonna, you know, honor the original vision of

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Speaker 1: this show, which was to discuss the election today. By

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Speaker 1: discussing the election, everyone's favorite topic, lots of stuff, a cover.

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Speaker 1: We have to vote in November. Jesus Christ, we have

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Speaker 1: to vote in November. And I wanted to start by

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Speaker 1: by talking about that a bit, specifically about voting by mail. Um, so,

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Speaker 1: yesterday Nancy Pelosi vowed to proof the general election by

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Speaker 1: ensuring that everyone can vote by mail. Uh so, yeah,

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Speaker 1: let's talk about that really quick because it's generally a

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Speaker 1: good call. Thanks. Thanks, yeah, Bandana, Queen Nancy Pelosi. I mean,

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Speaker 1: she's got a whole array of scarves more like for

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Speaker 1: this Nancy Pelos Antifa. Right. Um, I don't love her politics,

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Speaker 1: but I do love her collection of next scarves. Um,

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Speaker 1: most of you are probably a where that Democrats have

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Speaker 1: been fighting to include funding for vote by mail in

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Speaker 1: the upcoming election in the next stimulus package, you know,

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Speaker 1: to avoid that, you know, to avoid an unmitigated disaster

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Speaker 1: in November, like the situation we saw in Wisconsin in

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Speaker 1: early April. In case you need a quick refresher, Democrats

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Speaker 1: um and the state's Democratic governor pushed to delay Wisconsin's primary,

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Speaker 1: but then Republicans overruled that, forcing people to choose between

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Speaker 1: doing their democratic duty and obeying the law and protecting

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Speaker 1: their families by sheltering in place. Um, look partisan, Oh

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Speaker 1: why am I so hard for me today? It's okay,

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Speaker 1: it's hard for everybody. Because there's a horrible outbreak that's

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Speaker 1: changing life in terrible fundamental midways, and the people in

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Speaker 1: charge of responding to it are incompetent at best and

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Speaker 1: actively malicious at worst. And I said, yeah, what Google

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Speaker 1: current Events? Yeah, Google incompetent at best and actively malicious

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Speaker 1: at worst. And several photographs will come up, and they

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Speaker 1: will all be of Nancy Pelosi hybridized with Donald Trump

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Speaker 1: through some sort of horrific algorithm that forms them into

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Speaker 1: one collective monster that simultaneously forces people to vote in elections,

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Speaker 1: except for elections in which somebody is supporting Medicare for

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Speaker 1: all could win and also simultaneously attempts to restrict And

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Speaker 1: I don't know, it's fucking I hate all these people

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Speaker 1: so much. That's fair. But upon googling that phrase, the

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Speaker 1: first hit is a Reddit post called Reddit's head of

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Speaker 1: Network Security. That's also probably accurate. Yeah, anyway, thank you

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Speaker 1: for that. My point is that public health and safety

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Speaker 1: shouldn't be a partisan issue, but apparently it is. Um

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Speaker 1: interesting since we just we're mentioning Wisconsin. As of this week,

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Speaker 1: already forty cases of coronavi iris have been linked to

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Speaker 1: the Wisconsin primary. Wow. Look, requiring that people show up

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Speaker 1: to vote in person, honestly, any time, but especially during

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Speaker 1: a pandemic is voter disenfranchisement. It disproportionately affects poor people,

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Speaker 1: people of people of color. Uh, and that is even

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Speaker 1: more impacted during a crisis like this. Um. But unfortunately,

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Speaker 1: Donald Trump, the White House his allies Republicans are continually

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Speaker 1: attacking the proposal to expand mail in balloting, despite Trump

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Speaker 1: himself using a mail in ballot in the Florida primary.

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Speaker 1: You know. Uh, they're arguing that it is vulnerable to

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Speaker 1: fraud uh, and Trump even openly admitted on Fox News

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Speaker 1: that it would probably hurt their parties chances in November

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Speaker 1: if we had vote by mail. Uh, He said, quote,

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Speaker 1: you'd never have a Republican elected in this country. Again,

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Speaker 1: also at at a recent press conference, he said, may

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Speaker 1: ballots are a very dangerous thing for this country because

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Speaker 1: they're cheaters. They go and collect them, they're fraudulent in

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Speaker 1: many cases. So is that true. No, it's not. Thank

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Speaker 1: you for your report, Katie. In conclusion, you are wrong. Um.

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Speaker 1: This is a excerpt from a writer's article. Quote. A

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Speaker 1: series of academic, government, and news investigations over the years

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Speaker 1: have found little evidence of election fraud of any kind.

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Speaker 1: Utah and four other states that vote entirely by mail Hawaii, Oregon, Washington,

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Speaker 1: and Colorado have reported little fraud. Trump, who was often

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Speaker 1: said without evidence that millions voted illegally in twenty sixteen,

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Speaker 1: formed a commission after the campaign to investigate It disbanded

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Speaker 1: in January without finding any evidence to back his allegations.

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Speaker 1: Election experts say there have been scattered incidences of people

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Speaker 1: collecting in and manipulating absentee ballots in a process called

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Speaker 1: as known as ballot harvesting. The most recent example came

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Speaker 1: in North Carolina congressional race, the alcome of which was

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Speaker 1: overturned when it was determined and operative gathered ballots for

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Speaker 1: the Republican candidate. Way. Just to summarize, it's not a thing,

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Speaker 1: but the only time it's been a thing, it's been

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Speaker 1: a Republican thing. Um. As I just mentioned, five states

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Speaker 1: already vote entirely by mail. Uh. Since this started, this

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Speaker 1: crisis started, more than a dozen states have postponed their

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Speaker 1: primaries and expanded vote by mail for their citizens. New

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Speaker 1: York State just canceled their primary. We're gonna talk about

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Speaker 1: that a little bit later, I believe um uh. More

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Speaker 1: states are now allowing people to request vote by mail

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Speaker 1: ballots without meeting an excuse like they have in the past.

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Speaker 1: What's interesting is that today, the day that we're recording

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Speaker 1: this Tuesday, UM, is when the Ohio primary is taking place.

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Speaker 1: Ohio was one of the first states to postpone their

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Speaker 1: primary back in March to buy themselves time and give

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Speaker 1: everybody a mail in ballot who wants one. So all

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Speaker 1: eyes are kind of on that primary right now to

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Speaker 1: see how it plays out, to see how the mail

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Speaker 1: in balloting works for them. So far, we've been hearing

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Speaker 1: a lot of mixed reports. Some people have requested a

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Speaker 1: ballot and got it right away, Others requested several times

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Speaker 1: without it showing up. In this situation, anyone who does

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Speaker 1: not have a ballot in the mail can also cast

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Speaker 1: their ballot in person, just not at a traditional polling

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Speaker 1: place because those are closed, but at local boards of elections. UM.

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Speaker 1: And it's pretty much expected that people are going to

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Speaker 1: be standing around in long lines to do that. That

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Speaker 1: is to say, the Ohio turnout will almost certainly be down.

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Speaker 1: Part of the problem is the disorganization and the chaos

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Speaker 1: that's happening right now. People needed to have their ballots

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Speaker 1: already weeks ago so that they can mail it back

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Speaker 1: in time, and right now we're also experiencing postal service

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Speaker 1: delays UM. And so there's a lot of uncertainty, and

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Speaker 1: it makes people feel like they can I wonder if

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Speaker 1: they can even trust that their their voices are getting hurt,

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Speaker 1: their ballots are being counted. UM. So that's going to

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Speaker 1: be interesting, uh to see how how today plays out. UM.

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Speaker 1: But they're so very important important Because I say this,

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Speaker 1: I mentioned that it's great that Ohio has made these

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Speaker 1: steps and we're gonna see what happens. But if we

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Speaker 1: are going to have mail in ballots and the infrastructure

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Speaker 1: there for the November election, we need to get that

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Speaker 1: approved and started now. The delays that are happening in

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Speaker 1: all of this chaos and confusion cannot be a factor

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Speaker 1: come November. UM. And we're still looking at seventeen states

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Speaker 1: that will need to change their policies immediately in order

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Speaker 1: to guarantee that, and and those states are the ones

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Speaker 1: that are experiencing very fierce political battles. For example, New

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Speaker 1: Mexico County Clerk's petition the state Supreme Court to allow

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Speaker 1: their June primary to be vote by mail, but state

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Speaker 1: Republicans are then suing to stop that. Um. And it's

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Speaker 1: just all it's incredibly frustrating. It's just kind of a

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Speaker 1: big fucking mess. Uh. And it's going to be expensive. Again.

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Speaker 1: This needs to This is why Democrats are fighting to

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Speaker 1: have it included in the stimulus packages, and that itself

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Speaker 1: is becoming a partisan battle, you know, saying Democrats are

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Speaker 1: standing in the way of getting people their relief money.

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Speaker 1: But if we are going to have vote by mail,

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Speaker 1: this is it's going to be billions of dollars, you know,

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Speaker 1: millions just on postage, let alone the printing of you know, uh,

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Speaker 1: pamphlets to the actual ballots. You know what I mean. Uh.

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Speaker 1: So it's just a huge thing to coordinate at this

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Speaker 1: late stage. Cool. And the other thing that's important to

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Speaker 1: note is that Americans overwhelmingly want the option of mail

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Speaker 1: in voting. Um apparently uh. This is from NBC. A

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Speaker 1: new poll from the Associated Press NORK Center for Public

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Speaker 1: Affairs Research finds Democrats are now much more likely than

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Speaker 1: Republicans to support their state conducting elections exclusively by mail.

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Speaker 1: The poll finds that of Americans favor conducting all male

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Speaker 1: elections up from and another are opposed, but even more

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Speaker 1: percent favor a move to voting by mail if the

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Speaker 1: coronavirus outbreak is ongoing in November. UM. The poll also

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Speaker 1: shows six of Americans support allowing people to vote via

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Speaker 1: absentee ballot without requiring them to give a reason if

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Speaker 1: the outbreak is still happening. So basically, yeah, overall approval

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Speaker 1: for mail and balloting has gone up a lot, but

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Speaker 1: especially now that the coronavirus is happening, this seems like

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Speaker 1: a pretty obvious thing that we should be working towards implementing.

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Speaker 1: It seems like, yeah, it seems like there's another one

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Speaker 1: of those things that um is true and has been needed.

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Speaker 1: And the current since you're wation is really really really

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Speaker 1: highlighting that. And it's difficult because we have the way

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Speaker 1: our government works is that states make a you know,

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Speaker 1: decisions an individual level. So uh, and there's a lot

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Speaker 1: of reasons for that, but it's very difficult in a

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Speaker 1: time like this to make an overarching decision that affects everybody,

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Speaker 1: you know what I mean? M you know anyway, I

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Speaker 1: like this how this show is often a bunch of

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Speaker 1: details about what's going on and what's possible we can

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Speaker 1: and can't do, and then just like a dumbest things

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Speaker 1: going alongside. Yeah, in in Oregon, you just getting mailed

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Speaker 1: a ballot and you mail the ballot back and that's

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Speaker 1: how all voting has done in Oregon. And it's fine.

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Speaker 1: So do they not have the option? Do not have

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Speaker 1: the option of going to a poll? It's all mail in?

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Speaker 1: Or can you drop it off on the day somewhere?

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Speaker 1: I don't know, I don't think so you get it

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Speaker 1: a couple of weeks ahead of time, and I don't

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Speaker 1: know if there's actual like they probably are. I think

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Speaker 1: you can drop it off on the day. I'm pretty

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Speaker 1: sure they have like a drop off sets. Yeah, I'm

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Speaker 1: pretty they've got to have pulling. Yes, I'm I'm seeing

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Speaker 1: that they have pulling locations, they have drop boxes and stuff.

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Speaker 1: It's hard for me. I've never done a mail in ballot.

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Speaker 1: I've appreciated having the opportunity to because I like to

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Speaker 1: physically go down in person. I like to get my sticker.

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Speaker 1: I like to know for sure that I'm seeing it

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Speaker 1: going into the machine, and so I'm coming from that perspective.

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Speaker 1: I also desperately do not want to have to show

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Speaker 1: up to a poll in November. Uh. I want to

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Speaker 1: have faith that we've worked out the kinks and that

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Speaker 1: me mailing in my ballot means that it will get counted.

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Speaker 1: I want to make sure that I have my ballot,

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Speaker 1: you know, And I'm lucky I live in California, so

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Speaker 1: I will have that option. But for other people, UM,

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Speaker 1: it's terrifying. And again we're looking at Wisconsin people already

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Speaker 1: for you that they know of linked to the primary

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Speaker 1: new cases, and you know, it's much more than that. Yes, yeah,

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Speaker 1: because all those people have spread it to other people

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Speaker 1: statistically about two other people each somewhere around there, um,

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Speaker 1: maybe more. And it's yeah, it's incredibly irresponsible and um

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Speaker 1: I'm just looking it up a little bit right now. Yeah.

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Speaker 1: So one of the things like when you move to

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Speaker 1: Oregon and you register for a driver's license, you're automatically

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Speaker 1: registered to vote. Voting is done by mail. There's drop

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Speaker 1: off locations, and it's just like, you know, when I

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Speaker 1: moved to Oregon, I just immediately started getting and registered

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Speaker 1: for a license. I just immediately started getting ballots for

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Speaker 1: like voting and stuff, and it was just always as

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Speaker 1: simple as you check your vote off, you put it

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Speaker 1: back in the mail. You're gonna go very simple. No

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Speaker 1: reason every state can't do the same thing other than

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Speaker 1: it would be very bad for Republicans. There you go.

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Speaker 1: I was going to say, there's surely there are reasons.

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Speaker 1: So I guess my advice, uh, And in conclusion of

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Speaker 1: this section is call your representatives, especially if you live

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Speaker 1: in conservative states. Um, which always seems like a very

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Speaker 1: feudal action, but it's something that we can do and

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Speaker 1: maybe it will make a difference. Yeah, you know, It's

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Speaker 1: frustrating because this is one of the many a number

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Speaker 1: of things that would like if if we had done

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Speaker 1: the reasonable thing like Oregon did nationwide and had a

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Speaker 1: mail by a vote by mail system nationwide years ago,

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Speaker 1: the one thing we wouldn't be worrying about right now

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Speaker 1: is how to take care of the election. Everyone just say, well, okay,

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Speaker 1: but this this doesn't have to change at all because

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Speaker 1: we all just still everyone can mail a thing. You know,

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Speaker 1: we'll have to make sure that the post office maybe

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Speaker 1: we'll stop it from them from delivering you know, Amazon

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Speaker 1: packages that aren't food or whatever for five or six

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Speaker 1: days to make sure that they can like handle the load.

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Speaker 1: But like it wouldn't really require There would be plenty

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Speaker 1: of time this hitting in March for them to to

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Speaker 1: gure out a solution to it, and it would be

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Speaker 1: one fucking thing that we don't have to worry about

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Speaker 1: this year. But instead it's going to be a stupid

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Speaker 1: ship show that is differently stupid in every single state.

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Speaker 1: And I just hate it. Like it was guaranteed this

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Speaker 1: election was going to be not as smooth as other

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Speaker 1: elections when the coronavirus said, that's understandable. No government could

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Speaker 1: possibly handle a major national election perfectly. When a massive

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Speaker 1: surprise and precedented epidemic its, it was going to cause

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Speaker 1: some some some friction, right, Um, but it it doesn't.

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Speaker 1: It didn't need to be as dumb as it's going

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Speaker 1: to be. Nope, I mean I don't know. Are you

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Speaker 1: sure it did? We can't. We just we hate we

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Speaker 1: hate voting. Um, it's uh, I mean, every every single

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Speaker 1: election we have, the reaction is, wow, we haven't figured

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Speaker 1: out voting yet. We need to fix our elections. We

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Speaker 1: need to we need to do this better. And it

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Speaker 1: never happens. We just do it again. Uh. This country,

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Speaker 1: from what I can gather, one of the things it

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Speaker 1: was built on was the idea of voting. And we

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Speaker 1: still have not figured it out. No, why would one could?

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Speaker 1: One could suggest that that's by design, But um, hey,

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Speaker 1: who knows. Maybe it's just really really hard to figure

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Speaker 1: out the thing that Oregon figured out. Yeah. Maybe maybe

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Speaker 1: the only smart state is Oregon, the state that lets

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Speaker 1: you buy as many high explosives as you want and

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Speaker 1: doesn't fund at schools. Oregon, the perfect state. We got

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Speaker 1: it all figured out. You can vote, buy it mail,

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Speaker 1: your kids won't learn ship and our food banks are

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Speaker 1: out of food Oregon. All right, we're going to take

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Speaker 1: a real quick break for you know, in speaking of

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Speaker 1: a break, you know what isn't broken in these virus

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Speaker 1: filled times? What the fine wire guided laser missile products

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Speaker 1: that Raytheon programs. I couldn't guess that, Cody, you were

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Speaker 1: telling me the other day that you had a wedding

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Speaker 1: in Afghanistan that you really wanted to bomb, and Katie,

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Speaker 1: if I'm not mistaken, you had someone who needed a

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Speaker 1: missile made out of knives launched at their car. What

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Speaker 1: if I were to tell you that Raytheon can solve

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Speaker 1: both of your needs in one easy, one stop shop setting,

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Speaker 1: would be the best news I've had all day. Well,

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Speaker 1: pop on over to Raytheon dot com and listen to

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Speaker 1: these ads together. Ever, don't and we're back from those ads. Cool,

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Speaker 1: and I'm here com to talk about Joe Biden, the

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Speaker 1: Joe abides. Can we go back to ads? Yeah? I

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Speaker 1: wish um Now I want to We're going to talk

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Speaker 1: about the sexual very credible sexual assault allegations. Again, we've

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Speaker 1: already dedicated a lot of time. We will continue to

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Speaker 1: do that to them. At the end of this episode,

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Speaker 1: I am not going to talk much about this. This

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Speaker 1: here we're gonna talk about next has really nothing to

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Speaker 1: do with Joe Biden's moral character, with whether or not

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Speaker 1: you should vote for him, with whether or not he

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Speaker 1: is a monster or a decent person. We're going to

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Speaker 1: talk purely about can he like, how is he actually

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Speaker 1: faring in the polls, how does it look like he's

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Speaker 1: actually going to do against Trump based on this moment

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Speaker 1: in time and how the coronavirus has affected the election.

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Speaker 1: Um and it it is unfortunate, but it is a

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Speaker 1: fact that the question of whether or not Joe Biden

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Speaker 1: can get elected probably has nothing to do with whether

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Speaker 1: or not he's a rapist, because America has proven repeatedly

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Speaker 1: that they will vote for rapists. So we will talk

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Speaker 1: about that at the end. But it really there's a

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Speaker 1: good chance that even if Joe Biden comes out and says, yeah,

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Speaker 1: I did it, it will have no impact on his electability.

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Speaker 1: So yep, we so. UM. The most basic question I

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Speaker 1: had kind of going into my research for this segment

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Speaker 1: was can Joe Biden actually went an election against Donald Trump? Um?

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Speaker 1: Based on sort of the the information we have right now,

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Speaker 1: and if we care about trying to have accurate answers

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Speaker 1: to that question in advance of the election. We have

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Speaker 1: to start by asking the question, is there even any

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Speaker 1: point in paying attention to polls right now? Um? Now,

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Speaker 1: I've been very critical about Nate Silver, and I think

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Speaker 1: when we did our episode about like who you can

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Speaker 1: and cannot trust, we we maybe could have phrased that

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Speaker 1: better because people like took as we were saying, never

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Speaker 1: listen to any of these people, and that's not what

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Speaker 1: I was saying. I think our our issue with most

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Speaker 1: of them, with Tapper and with Nate Silver and the

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Speaker 1: others we talked, is that they often exceed their depth.

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Speaker 1: Nate Silver is a decent person to rely on when

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Speaker 1: he is analyzing how other people conduct polls, because he

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Speaker 1: spent a lot of time thinking about that, and he's

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Speaker 1: made some good points and been right about some important

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Speaker 1: things in the past. And one of the things he

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Speaker 1: was right about is he took a lot of ship

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Speaker 1: before the election for giving Trump a very realistic path

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Speaker 1: to victory and laying out in fact the path that

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Speaker 1: wound up happening. Um. So I do as as critical

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Speaker 1: as I am of old Nate. UM, I do listen

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Speaker 1: to what he says about the quality of polls and

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Speaker 1: what we can tell from polls in the past, And

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Speaker 1: one of the problems with trying to analyze current polls

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Speaker 1: based on polls in the past is that there haven't

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Speaker 1: been a whole funkload of presidential elections, and there have

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Speaker 1: really been like two that have occurred during massive sweeping plagues,

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Speaker 1: So we just don't have much good Like it's very

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Speaker 1: hard the data on how good the data is, isn't

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Speaker 1: there There are some people including m I T researcher

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Speaker 1: Alexander A, Doug Janni in UH, and economist data journalist

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Speaker 1: g Elliot Morris who will argue that early polls in

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Speaker 1: recent elections have been closer to the final outcome of

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Speaker 1: that election UH than early polls in previous cycles, and

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Speaker 1: thus polls at this point in the election are very

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Speaker 1: important to pay attention to. But there are other political

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Speaker 1: scientists who study polls who will maintain that well, early

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Speaker 1: election polls are more accurate, there's still not nearly as

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Speaker 1: accurate as late election polls, and the degree of shift

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Speaker 1: that they have is significant enough that they're not super

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Speaker 1: worth paying attention to at this point. So there's a

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Speaker 1: lot of debate even among poll analysts about this UM

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Speaker 1: and I'm going to read a quote from a five

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Speaker 1: thirty eight article about sort of this situation now UM.

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Speaker 1: So to better understand just how meaningful early general election

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Speaker 1: polling as we did our own analysis collecting all the

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Speaker 1: national surveys we could find from nineteen sixteen, spanning from

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Speaker 1: two hundred days before the presidential election to the day before. Then,

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Speaker 1: we created a rolling seven day polling average of the

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Speaker 1: margin between the Democratic and Republican nominees uh as that

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Speaker 1: allowed us to calculate just how far off the polls

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Speaker 1: were from the final election day votes share margin on

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Speaker 1: any given day, And what they found is that in

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Speaker 1: the last three presidential elections this kind of varied depending

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Speaker 1: on who wants. In two sixteen, the polls from six

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Speaker 1: months before the general election were two points more Democratic

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Speaker 1: than the final national popular vote margin on average, And

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Speaker 1: even though that's not huge, the size of the error

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Speaker 1: was enough that it kind have made what the polls

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Speaker 1: made look like a Democratic victory turned into a Republican victory. UM.

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Speaker 1: But in two thousand eight and two twelve, the early

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Speaker 1: polls missed in a Republican direction, showing UH six points

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Speaker 1: more Republican on average at two hundred days out than

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Speaker 1: the final outcome. Similarly, in two thousand twelve, the same

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Speaker 1: thing happened. They were biased to be more Republicans. So

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Speaker 1: kind of what we're seeing here is that when a

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Speaker 1: Republican wins an election, the early polls were biased in

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Speaker 1: favor of the Democrats, and when a Democrat wins an election,

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Speaker 1: the polls were biased early in favor of the Republicans.

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Speaker 1: And this has been consistent for the most recent elections.

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Speaker 1: So that's just something to keep in mind as we

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Speaker 1: talk about early polls, which is again not super useful.

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Speaker 1: M yeah, yeah, there you go. Um. I guess one

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Speaker 1: of the caveats is that posters are often surprised by

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Speaker 1: election results, so just yeah, um, so, I don't know.

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Speaker 1: In general, polling, particularly early polling, isn't super reliable because,

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Speaker 1: like I said, there haven't been a whole lot of

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Speaker 1: presidential elections and a lot of good polls to kind

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Speaker 1: of study as like a population sample. And also, a

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Speaker 1: one to two points swing in the polls can mean

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Speaker 1: a win or a loss for one party because of

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Speaker 1: the electoral college. So with all that said, let's move

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Speaker 1: on to the subject of Joseph Robinette Biden most young voters. Yeah,

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Speaker 1: so one of the things that I think is important,

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Speaker 1: like we all are on Twitter more than we should

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Speaker 1: be for our health, which is at all you should

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Speaker 1: not be on Twitter ever for your health. Um, And

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Speaker 1: a decent chunk of our listeners are very online people

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Speaker 1: as well, And if you are, it's easy to come

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Speaker 1: to the belief that, like Joe, Biden has almost no

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Speaker 1: support among young people and also almost no support amongst

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Speaker 1: Sanders voters, and the data that we have does not

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Speaker 1: bear that out. Currently, based on most recent polls, Biden

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Speaker 1: holds a sixty to thirty percent lead over Trump among

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Speaker 1: likely voters aged eighteen to twenty nine, which is one

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Speaker 1: point below the lead that Bernie Sanders has, one to

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Speaker 1: two points below the lead Bernie Sanders has, so that's

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Speaker 1: not a huge difference between them. Sanders is more popular

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Speaker 1: with young voters, but we're not seeing It's not like

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Speaker 1: a massive difference, right, It's like one ish points. Um. Now,

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Speaker 1: the leads are pretty similar, even though about fifty percent

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Speaker 1: of likely young voters view Widen unfavorably and Sanders is

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Speaker 1: viewed favorably by fifty eight percent. Of young voters compared

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Speaker 1: with forty two percent for Biden, which means a number

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Speaker 1: of things. Number One, young voters do favorably view Bernie

430
00:25:31,680 --> 00:25:35,560
Speaker 1: Uh significantly more than they do Biden by about sixteen points,

431
00:25:35,560 --> 00:25:38,600
Speaker 1: but also a lot it seems like most likely young

432
00:25:38,680 --> 00:25:42,000
Speaker 1: voters who don't view Biden favorably are still willing to

433
00:25:42,080 --> 00:25:47,040
Speaker 1: vote for him, primarily because he's not you know, Donald Trump. Um. Now,

434
00:25:47,160 --> 00:25:50,000
Speaker 1: it's worth noting that in two thousands sixteen, Hillary Clinton

435
00:25:50,080 --> 00:25:53,080
Speaker 1: had a larger lead among young voters against Trump at

436
00:25:53,119 --> 00:25:55,080
Speaker 1: this point, but it was still only about a one

437
00:25:55,119 --> 00:25:58,880
Speaker 1: percent you know, additional lead over where Biden is right now. Um,

438
00:25:58,960 --> 00:26:02,200
Speaker 1: she ended up with just a thirty six percent advantage

439
00:26:02,200 --> 00:26:04,399
Speaker 1: among young people in the election over Trump, and that

440
00:26:04,440 --> 00:26:06,960
Speaker 1: did contribute to her defeat. So it is worth being

441
00:26:07,000 --> 00:26:09,320
Speaker 1: concerned that the fact that Biden's even a little bit

442
00:26:09,320 --> 00:26:12,720
Speaker 1: weaker at winning young voters makes him less electable. But

443
00:26:12,880 --> 00:26:15,320
Speaker 1: also the difference between his kind of electability with the

444
00:26:15,359 --> 00:26:17,240
Speaker 1: young is is less than you'd think. And also we

445
00:26:17,320 --> 00:26:20,920
Speaker 1: have to keep in mind the fucking coronavirus is going

446
00:26:20,920 --> 00:26:23,560
Speaker 1: to continue to bite and hit young people particularly hard,

447
00:26:23,640 --> 00:26:26,280
Speaker 1: and that may as well make more of them likely

448
00:26:26,320 --> 00:26:29,080
Speaker 1: to go for Biden, just depending on kind of how

449
00:26:29,119 --> 00:26:32,320
Speaker 1: they react to everything. Yeah, and I found an interesting

450
00:26:32,400 --> 00:26:34,840
Speaker 1: quote in a USA Today article analyzing all this by

451
00:26:34,920 --> 00:26:37,760
Speaker 1: John Della Volpe, the director of polling for Harvard UH.

452
00:26:37,840 --> 00:26:40,640
Speaker 1: He said, quote, Currently, this is of young voter voters

453
00:26:41,040 --> 00:26:43,200
Speaker 1: picking Biden. Currently they are giving him the benefit of

454
00:26:43,240 --> 00:26:44,640
Speaker 1: the doubt. There are a lot of young people who

455
00:26:44,640 --> 00:26:46,920
Speaker 1: preferred Sanders, voted for Sanders, but are willing to say

456
00:26:46,920 --> 00:26:49,200
Speaker 1: in a two person matchup, they'd be with Biden right now.

457
00:26:49,520 --> 00:26:52,560
Speaker 1: He cannot take that cohort for granted. And my read

458
00:26:52,600 --> 00:26:54,480
Speaker 1: over his activities in the last few weeks is that

459
00:26:54,520 --> 00:26:57,000
Speaker 1: he's not taking them for granted. And I don't know

460
00:26:57,080 --> 00:26:59,680
Speaker 1: anything about John Della volt but I don't think he's

461
00:27:00,040 --> 00:27:02,040
Speaker 1: uper right about that. I'd love to be proven wrong,

462
00:27:02,080 --> 00:27:04,640
Speaker 1: but he It sure seems like Joe Biden is doing

463
00:27:04,680 --> 00:27:09,680
Speaker 1: everything he can to take Sanders voters UH for granted. UM.

464
00:27:09,720 --> 00:27:11,479
Speaker 1: And this is not just because of the sexual assault

465
00:27:11,520 --> 00:27:13,879
Speaker 1: allegations we're going to talk about at the end. UM.

466
00:27:13,920 --> 00:27:15,800
Speaker 1: There's a number of reasons to suspect that he's going

467
00:27:15,840 --> 00:27:20,360
Speaker 1: to have issues UM continuing to win these people over. UM.

468
00:27:20,440 --> 00:27:22,520
Speaker 1: One of them is a change that was made recently

469
00:27:22,560 --> 00:27:25,320
Speaker 1: to the d n c's delegate selection rules, and this

470
00:27:25,400 --> 00:27:28,520
Speaker 1: was made for twenty and this change pushes that any

471
00:27:28,560 --> 00:27:32,800
Speaker 1: candidate no longer running loses the statewide delegates they have

472
00:27:32,920 --> 00:27:35,840
Speaker 1: run and those delegates are real allocated to candidates still

473
00:27:35,840 --> 00:27:38,879
Speaker 1: in the race, which will lose Bernie Sanders about a

474
00:27:38,920 --> 00:27:41,640
Speaker 1: third of his delegates, which cuts his ability to force

475
00:27:41,680 --> 00:27:44,520
Speaker 1: concessions from the d n C at the convention by

476
00:27:44,600 --> 00:27:50,560
Speaker 1: about a third. Um. Yeah, So, and if Sanders doesn't

477
00:27:50,560 --> 00:27:53,600
Speaker 1: get about the delegate threshold, which he would make with

478
00:27:53,680 --> 00:27:55,960
Speaker 1: these delegates and won't without them, it'll be harder for

479
00:27:56,040 --> 00:28:01,119
Speaker 1: him to secure concessions. Frustrating. Yeah, and it's not likely

480
00:28:01,200 --> 00:28:04,080
Speaker 1: to make convinced young voters that Biden's not treating them

481
00:28:04,119 --> 00:28:06,720
Speaker 1: for granted, m No. I mean one of his most

482
00:28:06,720 --> 00:28:12,680
Speaker 1: recent concessions uh to attract them was to lower the

483
00:28:12,720 --> 00:28:18,439
Speaker 1: age of medicare to sixty. A lot of sixty year

484
00:28:18,480 --> 00:28:22,919
Speaker 1: old millennials also, like Hilary, that age was five. So

485
00:28:23,040 --> 00:28:24,600
Speaker 1: I don't know what Joe is trying to do there.

486
00:28:25,560 --> 00:28:27,320
Speaker 1: I mean, you're not excited by the fact that you've

487
00:28:27,359 --> 00:28:29,520
Speaker 1: only got twenty to thirty years to wait to be

488
00:28:29,560 --> 00:28:32,199
Speaker 1: able to afford to go to the doctor. God, to admit,

489
00:28:32,440 --> 00:28:35,840
Speaker 1: doesn't really get me fired up to knock on doors. Sorry,

490
00:28:36,160 --> 00:28:38,720
Speaker 1: what if I were to say that's just the length

491
00:28:39,040 --> 00:28:43,280
Speaker 1: between the original Star Wars series and the Star Wars prequels,

492
00:28:43,360 --> 00:28:50,280
Speaker 1: then hello, may I interest you? Uh? Joe Biden? Yep?

493
00:28:51,000 --> 00:28:55,120
Speaker 1: Did you guys know Joe Biden has a podcast? Yes? Yes,

494
00:28:55,160 --> 00:29:01,640
Speaker 1: we did, about downloads a week. Really is that all? Yeah?

495
00:29:01,720 --> 00:29:04,120
Speaker 1: We get we get that in a day. Sometimes that's

496
00:29:04,200 --> 00:29:08,000
Speaker 1: so sad. Oh, Joe, a lot of people trying to

497
00:29:08,000 --> 00:29:10,560
Speaker 1: gotta have him on the pod. No, we don't get

498
00:29:10,600 --> 00:29:14,240
Speaker 1: him on the pod. Amplify that ship. Now. I found

499
00:29:14,240 --> 00:29:16,520
Speaker 1: a more detailed breakdown of the situation in the New

500
00:29:16,600 --> 00:29:20,040
Speaker 1: York Times, and I'm gonna quote from an article in

501
00:29:20,360 --> 00:29:25,080
Speaker 1: that periodical that that is very um paints a very

502
00:29:25,160 --> 00:29:28,640
Speaker 1: negative picture about Joe's chances. Quote. President Trump and Joe

503
00:29:28,640 --> 00:29:31,160
Speaker 1: Biden began the general election campaign locked in a highly

504
00:29:31,160 --> 00:29:34,960
Speaker 1: competitive contest. The remains fought along the lines of presidential election.

505
00:29:34,960 --> 00:29:38,040
Speaker 1: According to national and battleground state polls, if anyone holds

506
00:29:38,080 --> 00:29:40,240
Speaker 1: the early edge, it is Mr Biden. He leads by

507
00:29:40,240 --> 00:29:43,200
Speaker 1: an average of six points in national life interview polls

508
00:29:43,200 --> 00:29:46,320
Speaker 1: of registered voters, But the election will be decided by

509
00:29:46,400 --> 00:29:50,280
Speaker 1: voters in the battleground states, not registered voters nationwide, and

510
00:29:50,320 --> 00:29:52,400
Speaker 1: there the story is not so clear or rosie for

511
00:29:52,520 --> 00:29:55,480
Speaker 1: Mr Biden. At the moment, a reasonable estimate is that

512
00:29:55,760 --> 00:29:58,800
Speaker 1: Mr Biden is performing four or five points worse among

513
00:29:58,920 --> 00:30:01,240
Speaker 1: likely voters in the tdtical states than he is among

514
00:30:01,280 --> 00:30:06,520
Speaker 1: registered voters nationwide. Now, the President begins the campaign with

515
00:30:06,520 --> 00:30:09,080
Speaker 1: strong support from white working class who powered his upset

516
00:30:09,080 --> 00:30:11,280
Speaker 1: when four years ago. He leads among white voters without

517
00:30:11,280 --> 00:30:15,400
Speaker 1: a college degree in an average of live interview polls

518
00:30:15,440 --> 00:30:18,640
Speaker 1: conducted since March fifteen, matching or perhaps even exceeding his

519
00:30:18,680 --> 00:30:22,000
Speaker 1: margin over Hillary Clinton and methodologically similar polls conducted late

520
00:30:22,040 --> 00:30:26,560
Speaker 1: in the twenty sixteen campaign. Now, there's a few things

521
00:30:26,600 --> 00:30:28,360
Speaker 1: that's interesting about what the Times found and kind of

522
00:30:28,400 --> 00:30:30,640
Speaker 1: their analysis of this, and everyone's analysis of these polls

523
00:30:30,720 --> 00:30:32,640
Speaker 1: is different, and they're all looking at different things. This

524
00:30:32,760 --> 00:30:35,040
Speaker 1: is the Times. We'll go into some other stuff later

525
00:30:35,120 --> 00:30:38,000
Speaker 1: that other periodicals have kind of looked at this differently.

526
00:30:38,480 --> 00:30:41,080
Speaker 1: But one thing that the Times analysis has shown is

527
00:30:41,120 --> 00:30:44,440
Speaker 1: that Trump's polling has improved with working class whites who

528
00:30:44,480 --> 00:30:46,560
Speaker 1: didn't go to college, which is the group that Biden

529
00:30:46,600 --> 00:30:50,320
Speaker 1: explicitly ran promising he could reach right like that was

530
00:30:50,320 --> 00:30:52,280
Speaker 1: a big part of his campaign, is that these Trump

531
00:30:52,360 --> 00:30:54,600
Speaker 1: voters are people that he can reach out to, and

532
00:30:54,720 --> 00:30:57,760
Speaker 1: so far there is no evidence that he has succeeded

533
00:30:57,760 --> 00:31:00,600
Speaker 1: in reaching this group at all. Um And the fact

534
00:31:00,600 --> 00:31:02,800
Speaker 1: that he campaigned on this as a huge thing and

535
00:31:02,840 --> 00:31:04,800
Speaker 1: there's no evidence he succeeded in doing it should be

536
00:31:04,800 --> 00:31:07,320
Speaker 1: a big red flag for the d n c UM. Now, well,

537
00:31:07,360 --> 00:31:09,720
Speaker 1: that may seem like it's Biden has been totally useless

538
00:31:09,800 --> 00:31:12,520
Speaker 1: as a candidate. It's actually not quite that simple, because

539
00:31:12,520 --> 00:31:14,760
Speaker 1: while he hasn't shown an ability to reach these kind

540
00:31:14,800 --> 00:31:18,479
Speaker 1: of um, poor working class, white, uneducated people that that

541
00:31:18,520 --> 00:31:22,080
Speaker 1: Trump has improved his performing with, Biden has shown a

542
00:31:22,200 --> 00:31:25,680
Speaker 1: marked ability to attract a voting population that Sanders did

543
00:31:25,760 --> 00:31:28,120
Speaker 1: poorly with and that the president relied on In two

544
00:31:28,160 --> 00:31:31,400
Speaker 1: thousand sixteen, uh quote, On average, Mr Biden leads among

545
00:31:31,480 --> 00:31:34,440
Speaker 1: voters over age sixty five by a margin of fifty

546
00:31:34,440 --> 00:31:37,680
Speaker 1: three to forty four percent nationwide, including a lead in

547
00:31:37,720 --> 00:31:40,560
Speaker 1: every live interview national poll was reporting a result for

548
00:31:40,600 --> 00:31:43,320
Speaker 1: the group. It is a substantial improvement over Miss Clinton

549
00:31:43,440 --> 00:31:45,880
Speaker 1: six point deficit among the group and pre election polls

550
00:31:45,880 --> 00:31:49,160
Speaker 1: in twenty sixteen. Now, that's fascinating to me because that

551
00:31:49,240 --> 00:31:51,880
Speaker 1: means that this the core we all kind of complain

552
00:31:51,920 --> 00:31:56,280
Speaker 1: about a lot old voters. Um went from backing Trump

553
00:31:56,280 --> 00:32:00,440
Speaker 1: in sixteen to at least right now backing Umden by

554
00:32:00,440 --> 00:32:04,200
Speaker 1: a significant margin. That's a really interesting change to ye.

555
00:32:05,720 --> 00:32:08,360
Speaker 1: And I I don't want to read too much into that,

556
00:32:08,400 --> 00:32:09,720
Speaker 1: but there's a number of things that could be I

557
00:32:09,760 --> 00:32:12,320
Speaker 1: wonder these are all from recent pulls, So I wonder

558
00:32:12,400 --> 00:32:15,360
Speaker 1: how much of that is the coronavirus hitting right? There's

559
00:32:15,400 --> 00:32:18,480
Speaker 1: like is it corona? Is there? How much of it

560
00:32:18,560 --> 00:32:23,320
Speaker 1: is sexism with that age group. Yeah, and that they

561
00:32:23,360 --> 00:32:26,000
Speaker 1: just didn't like right and just like the whole her

562
00:32:26,160 --> 00:32:30,000
Speaker 1: entire political history and then being like politically active and

563
00:32:30,080 --> 00:32:34,840
Speaker 1: engaged during that time, and um yeah, the Hillary death

564
00:32:34,880 --> 00:32:40,360
Speaker 1: list generation ru yeah and I I yeah. And that's

565
00:32:40,360 --> 00:32:42,120
Speaker 1: one of those things that might be a good sign

566
00:32:42,200 --> 00:32:45,520
Speaker 1: for the Democrats in UM if it turns out that

567
00:32:45,560 --> 00:32:48,280
Speaker 1: like old people are kind of over Trump, that's really

568
00:32:48,280 --> 00:32:52,160
Speaker 1: gonna hurt him. Um yeah, I will see. I found

569
00:32:52,200 --> 00:32:54,840
Speaker 1: that really surprising, to be honest. I didn't expect to

570
00:32:54,840 --> 00:33:00,360
Speaker 1: see that with Joe. Um. Yeah, now um. The New

571
00:33:00,440 --> 00:33:02,960
Speaker 1: York Times notes quote Mr Biden's early strength among older

572
00:33:03,000 --> 00:33:05,080
Speaker 1: voters is not easy to explain. It cannot be fully

573
00:33:05,120 --> 00:33:07,680
Speaker 1: accounted for by the changing composition of each age group,

574
00:33:07,720 --> 00:33:09,880
Speaker 1: although the ascent of the baby baby boomers into the

575
00:33:09,920 --> 00:33:12,160
Speaker 1: oldest age cohort maybe part of the reason, along with

576
00:33:12,160 --> 00:33:15,120
Speaker 1: the gradual departure of the more conservative silent generation from

577
00:33:15,120 --> 00:33:17,760
Speaker 1: the electorate. All together, Mr Trump seems to have made

578
00:33:17,760 --> 00:33:20,240
Speaker 1: gains among voters forty five to sixty five or perhaps

579
00:33:20,240 --> 00:33:23,920
Speaker 1: even younger, canceling out his losses among older voters. Overall,

580
00:33:24,520 --> 00:33:27,320
Speaker 1: Mr Biden also holds the expected wide advantage among non

581
00:33:27,360 --> 00:33:30,400
Speaker 1: white voters, although there's some evidence actually that that shifted

582
00:33:30,440 --> 00:33:33,480
Speaker 1: a little bit in the president's direction. Um. He also

583
00:33:33,520 --> 00:33:36,480
Speaker 1: seems to do worse among Trump is is doing worse

584
00:33:36,560 --> 00:33:39,440
Speaker 1: among white voters, though, So it's kind of like, yeah,

585
00:33:39,440 --> 00:33:42,000
Speaker 1: these numbers are kind of just shifting a little bit, um,

586
00:33:42,040 --> 00:33:44,360
Speaker 1: and a lot of times kind of cancel each other out.

587
00:33:44,760 --> 00:33:48,000
Speaker 1: And these big picture numbers are important and worth looking

588
00:33:48,040 --> 00:33:49,840
Speaker 1: at to see kind of where the country is trending,

589
00:33:50,120 --> 00:33:52,880
Speaker 1: but they're really only important for the election in as

590
00:33:52,960 --> 00:33:54,880
Speaker 1: much as they impact how things are likely to shake

591
00:33:54,920 --> 00:34:00,160
Speaker 1: out in battleground states. And yeah, Trump maintain is a

592
00:34:00,200 --> 00:34:04,280
Speaker 1: relative advantage in the electoral college, but it's not unshakable.

593
00:34:04,320 --> 00:34:07,120
Speaker 1: It's not like guaranteed. So he's very strong. It shown

594
00:34:07,160 --> 00:34:09,800
Speaker 1: to be pretty strong in Wisconsin, but that could shift,

595
00:34:10,400 --> 00:34:14,279
Speaker 1: especially after this debacle. And where it seems to be

596
00:34:14,400 --> 00:34:18,279
Speaker 1: shifting is an Arizona in Florida. Um, and this is

597
00:34:18,280 --> 00:34:22,000
Speaker 1: like Florida. People talk a lot about Florida as like

598
00:34:22,080 --> 00:34:25,359
Speaker 1: a Republican stronghold now, but he actually wanted to beat

599
00:34:25,440 --> 00:34:29,600
Speaker 1: Hillary there by a pretty narrow margin. And I found

600
00:34:29,600 --> 00:34:32,200
Speaker 1: a Newsweek article UM looking at kind of like Trump's

601
00:34:32,200 --> 00:34:34,479
Speaker 1: performance in swing states, and it noted that two recent

602
00:34:34,520 --> 00:34:37,760
Speaker 1: polls by Univision in Florida Atlantic University showed Trump ahead

603
00:34:37,760 --> 00:34:40,239
Speaker 1: of Biden, but another survey by the University of North

604
00:34:40,239 --> 00:34:42,960
Speaker 1: Florida showed Biden with a huge lead. An average of

605
00:34:43,000 --> 00:34:45,920
Speaker 1: the recent surveys by Real Clear Politics shows Biden overhead

606
00:34:45,920 --> 00:34:48,560
Speaker 1: by about point zero four or by about point four

607
00:34:48,600 --> 00:34:51,880
Speaker 1: percent forty six point seven percent support compared to Trump's

608
00:34:51,920 --> 00:34:53,959
Speaker 1: forty six point three. Now, that points to a really

609
00:34:54,000 --> 00:34:57,040
Speaker 1: competitive Florida and it also points to like maybe a

610
00:34:57,040 --> 00:35:00,960
Speaker 1: decline for Trump there because he won Florida with to

611
00:35:00,960 --> 00:35:03,279
Speaker 1: the vote, but he's pulling it like forty point three

612
00:35:03,360 --> 00:35:07,319
Speaker 1: right now. Um. Of course Obama had won that before. UM.

613
00:35:07,560 --> 00:35:12,080
Speaker 1: Pennsylvania also seems to be significantly more competitive. Biden is

614
00:35:12,080 --> 00:35:14,680
Speaker 1: ahead by six points there based on an average of

615
00:35:14,680 --> 00:35:18,880
Speaker 1: a couple of studies to Trumps, and Trump won that

616
00:35:18,960 --> 00:35:22,520
Speaker 1: state in two thousand sixteen with forty eight point six

617
00:35:22,560 --> 00:35:27,520
Speaker 1: percent of the vote. Yeah, so that's really interesting. An

618
00:35:27,560 --> 00:35:30,920
Speaker 1: analysis of a number of recent Michigan polls shows Biden

619
00:35:30,920 --> 00:35:33,600
Speaker 1: ahead of Trump by about four point four points in Michigan,

620
00:35:33,640 --> 00:35:37,960
Speaker 1: which is really significant. And what's most interesting to me

621
00:35:38,280 --> 00:35:42,080
Speaker 1: is that it seems like Biden is actually there's at

622
00:35:42,120 --> 00:35:45,319
Speaker 1: least some evidence, and it's not perfect evidence, but some

623
00:35:45,440 --> 00:35:52,160
Speaker 1: evidence that Biden is pulling ahead in Arizona. Yeah. So

624
00:35:52,200 --> 00:35:57,200
Speaker 1: if Biden were to flip Arizona and Pennsylvania, that makes

625
00:35:57,200 --> 00:35:59,960
Speaker 1: it real hard for Trump to win, especially if Flora

626
00:36:00,040 --> 00:36:04,440
Speaker 1: or is actually in play. The battleground situation. It's one

627
00:36:04,440 --> 00:36:06,880
Speaker 1: of those things I will probably continue saying right up

628
00:36:06,960 --> 00:36:11,319
Speaker 1: until the day of the election. I don't know, it's

629
00:36:11,320 --> 00:36:14,440
Speaker 1: impossible to actually gauge. We've all been but astray in

630
00:36:14,480 --> 00:36:17,800
Speaker 1: the past. Um, this is constantly involving. It is important

631
00:36:17,800 --> 00:36:19,520
Speaker 1: to track it and to see what's happening. I mean,

632
00:36:20,239 --> 00:36:23,240
Speaker 1: we see already. I mean there's all these reports about

633
00:36:23,760 --> 00:36:30,279
Speaker 1: the president's daily briefings through throughout the coronavirus. He's been

634
00:36:30,360 --> 00:36:34,400
Speaker 1: not not reading them because he can't read, that's right. No,

635
00:36:34,560 --> 00:36:38,239
Speaker 1: I mean the daily pressers he gives. He considers them

636
00:36:38,239 --> 00:36:41,640
Speaker 1: as a replacement for rallies, kind of, you know, a

637
00:36:41,640 --> 00:36:43,520
Speaker 1: way to get himself out in front of people, in

638
00:36:43,520 --> 00:36:47,239
Speaker 1: front of the camera. But it's not helping. I mean,

639
00:36:47,320 --> 00:36:50,280
Speaker 1: his approval writing right now is low. He keeps lying,

640
00:36:51,239 --> 00:36:54,560
Speaker 1: doing stuff that's proved demonstrably false, creating more chaos. And

641
00:36:54,600 --> 00:36:57,279
Speaker 1: now there's all these reports about how advisors and his

642
00:36:57,320 --> 00:37:00,640
Speaker 1: people don't want him to do them any more. Yeah,

643
00:37:00,960 --> 00:37:03,279
Speaker 1: I guess you need to block him from doing all

644
00:37:03,320 --> 00:37:05,440
Speaker 1: that stuff. I don't know, It's it's such a toss

645
00:37:05,480 --> 00:37:09,680
Speaker 1: up because even stuff like that, it's like nothing about

646
00:37:09,800 --> 00:37:14,560
Speaker 1: him or his behavior has changed, like since he started

647
00:37:15,000 --> 00:37:18,680
Speaker 1: trying to become the president. So like the whole like, oh,

648
00:37:18,719 --> 00:37:22,000
Speaker 1: he's lying, he's doing this, he's doing this. It's like, yeah,

649
00:37:22,040 --> 00:37:24,239
Speaker 1: but I think more people are piste off about it

650
00:37:24,280 --> 00:37:27,319
Speaker 1: because it directly affects him in a very weird, real

651
00:37:27,440 --> 00:37:32,600
Speaker 1: tangible way. Yeah, this the material situations have is there's

652
00:37:32,640 --> 00:37:34,960
Speaker 1: another interest one could assume. I think about it, but

653
00:37:35,000 --> 00:37:36,759
Speaker 1: it's just like I still go back and forth on

654
00:37:38,280 --> 00:37:39,960
Speaker 1: I'm not saying that it's something for us to get

655
00:37:40,000 --> 00:37:43,080
Speaker 1: comfort in. I'm just it's a thing. Yeah, And this

656
00:37:43,080 --> 00:37:45,080
Speaker 1: this brings me to another really interesting thing I found

657
00:37:45,080 --> 00:37:47,359
Speaker 1: in my research. So again, if you kind of are

658
00:37:47,480 --> 00:37:50,600
Speaker 1: stuck in the Twitter lefty bubble, people have talked about

659
00:37:50,640 --> 00:37:54,120
Speaker 1: what it is astered is that Biden kind of back

660
00:37:54,239 --> 00:37:56,160
Speaker 1: the funk away for a couple of weeks as the

661
00:37:56,239 --> 00:37:58,160
Speaker 1: virus really started to hit, and that this was like

662
00:37:58,200 --> 00:38:01,600
Speaker 1: a major failure of strategic or was the Democrats seating

663
00:38:01,640 --> 00:38:04,560
Speaker 1: ground to Trump. But the latest set of polls that

664
00:38:04,600 --> 00:38:06,240
Speaker 1: have come out, which are like kind of our first

665
00:38:06,520 --> 00:38:09,800
Speaker 1: raft of of of credible polls since the coronavirus started

666
00:38:09,840 --> 00:38:13,959
Speaker 1: to bite, show things looking better for Biden. His his

667
00:38:13,960 --> 00:38:17,480
Speaker 1: his electoral position has improved as he faded into the background.

668
00:38:17,840 --> 00:38:21,120
Speaker 1: And I find this really noteworthy because it does suggest

669
00:38:21,239 --> 00:38:23,719
Speaker 1: whatever you think about this morally, is a good idea

670
00:38:23,760 --> 00:38:27,280
Speaker 1: is a bad idea. It suggests it's possible. Too early

671
00:38:27,320 --> 00:38:29,720
Speaker 1: to say for sure, but it suggests that him backing

672
00:38:29,719 --> 00:38:32,560
Speaker 1: the funk off might have actually been an effective tactic.

673
00:38:32,600 --> 00:38:34,719
Speaker 1: And if this is the case, it's because Trump has

674
00:38:34,719 --> 00:38:40,200
Speaker 1: been a gigantic funk up, but because Biden always does

675
00:38:40,239 --> 00:38:43,799
Speaker 1: better when he says less. His best performances on the

676
00:38:43,840 --> 00:38:46,640
Speaker 1: debate stage were the ones where he barely talked and

677
00:38:47,160 --> 00:38:50,920
Speaker 1: will say he my my friend, continues to contend and

678
00:38:51,000 --> 00:38:54,080
Speaker 1: I agree with him. It was like the best thing

679
00:38:54,120 --> 00:38:56,560
Speaker 1: for Biden to do is shut up and go be

680
00:38:56,680 --> 00:38:59,359
Speaker 1: quiet and not do any gaffs, not step on any

681
00:38:59,360 --> 00:39:03,200
Speaker 1: more rakes. Um. Yeah, I mean that's that's what's That's

682
00:39:03,280 --> 00:39:06,520
Speaker 1: one of the reasons he was so successful, I think

683
00:39:06,719 --> 00:39:09,120
Speaker 1: is he's got he's got that name recognition that he

684
00:39:09,239 --> 00:39:12,400
Speaker 1: goes in the background. Um, he's been given that advice

685
00:39:12,600 --> 00:39:14,120
Speaker 1: by a lot of people too. It was like, yeah,

686
00:39:14,160 --> 00:39:18,000
Speaker 1: just like, don't don't speak, just like let everybody think

687
00:39:18,000 --> 00:39:22,560
Speaker 1: that you're you're the president guy, and just yeah, and

688
00:39:22,560 --> 00:39:24,560
Speaker 1: and it'll be fine even like because there's also like

689
00:39:24,560 --> 00:39:27,640
Speaker 1: a lot of you know, there's a lot of uh

690
00:39:28,160 --> 00:39:33,239
Speaker 1: we've talked about for distaste for Hillary Clinton specifically. Um,

691
00:39:33,320 --> 00:39:36,640
Speaker 1: and if you look in in a way that is

692
00:39:36,760 --> 00:39:40,920
Speaker 1: I think hard for most liberals and moderates to understand.

693
00:39:41,000 --> 00:39:43,839
Speaker 1: I grew up with this. My parents are convinced that

694
00:39:43,880 --> 00:39:47,359
Speaker 1: she has she has had individual political enemies murdered by

695
00:39:47,400 --> 00:39:50,920
Speaker 1: gunman um and that is a common belief. Millions of

696
00:39:50,960 --> 00:39:53,359
Speaker 1: Americans share it. Like it is. It is hard to

697
00:39:53,400 --> 00:39:56,880
Speaker 1: get across the level of specific hatred to Hillary Clinton

698
00:39:56,880 --> 00:39:59,000
Speaker 1: that exists. And if you look at like even like

699
00:39:59,120 --> 00:40:03,280
Speaker 1: averages of holes during that entire election, she was ahead

700
00:40:03,360 --> 00:40:06,400
Speaker 1: quite a bit, often like up up by nine points

701
00:40:06,480 --> 00:40:08,120
Speaker 1: this day and so on and so forth. But if

702
00:40:08,120 --> 00:40:12,399
Speaker 1: you look over time, there's a lot of fluctuation, there's

703
00:40:12,400 --> 00:40:15,839
Speaker 1: a lot of crossover. She would go down during this

704
00:40:15,920 --> 00:40:17,759
Speaker 1: month and then go up and then like he'd be

705
00:40:17,800 --> 00:40:19,960
Speaker 1: a little better and so on. But Biden seems to

706
00:40:20,000 --> 00:40:24,919
Speaker 1: be very consistently up ahead. Um, Like there's no there's

707
00:40:24,920 --> 00:40:27,080
Speaker 1: no back and forth. Really, it's it's like, yeah, he's

708
00:40:27,080 --> 00:40:32,440
Speaker 1: consistently at least higher. Yeah, And it's it's not impossible

709
00:40:32,600 --> 00:40:35,640
Speaker 1: that in a horrible epidemic that is going to continue

710
00:40:35,680 --> 00:40:38,000
Speaker 1: to get worse, with an economic crash that is going

711
00:40:38,040 --> 00:40:39,960
Speaker 1: to continue to get worse, and a president who was

712
00:40:40,040 --> 00:40:43,880
Speaker 1: constitutionally incapable from shutting the funk up. The best tactic

713
00:40:44,040 --> 00:40:47,879
Speaker 1: is for the the reasonable, decent candidate, or at least

714
00:40:47,880 --> 00:40:51,279
Speaker 1: the candidate you know that that's Joe's hole like him.

715
00:40:51,320 --> 00:40:53,319
Speaker 1: That's what part what he's running on is that he's

716
00:40:53,320 --> 00:40:55,920
Speaker 1: a decent man, that his best tactic is to be

717
00:40:56,000 --> 00:40:59,000
Speaker 1: a quiet, decent man and let Trump be a fucking

718
00:40:59,040 --> 00:41:02,279
Speaker 1: asshole and let that con and it might work. Like,

719
00:41:02,320 --> 00:41:04,200
Speaker 1: I'm not going to say that's a bad strategy, and

720
00:41:04,239 --> 00:41:06,920
Speaker 1: based on the current polls, it's certainly there's a It's

721
00:41:06,920 --> 00:41:09,040
Speaker 1: an arguable point. And again this is not getting into

722
00:41:09,080 --> 00:41:10,960
Speaker 1: the moral dimensions of it. It's just whether or not

723
00:41:11,000 --> 00:41:13,440
Speaker 1: it works, because this is politics and it's a fundamentally

724
00:41:13,440 --> 00:41:16,560
Speaker 1: amoral business. It might and so many people are And

725
00:41:16,600 --> 00:41:18,400
Speaker 1: again this is part of his pitch, not just that

726
00:41:18,440 --> 00:41:21,240
Speaker 1: he's a decent man, but the idea that, like people

727
00:41:21,239 --> 00:41:24,040
Speaker 1: are tired of talking about the president, people don't want

728
00:41:24,080 --> 00:41:26,359
Speaker 1: to be doing this every single day and wake up

729
00:41:26,400 --> 00:41:29,080
Speaker 1: and be worrying about that. So if you're also comparing

730
00:41:29,920 --> 00:41:33,560
Speaker 1: the constant disaster of Donald Trump to somebody who isn't

731
00:41:33,640 --> 00:41:36,560
Speaker 1: even there, that's going to be an easy choice for

732
00:41:36,600 --> 00:41:38,279
Speaker 1: a lot of people. To make you know what else

733
00:41:38,400 --> 00:41:40,120
Speaker 1: is an easy choice for a lot of people to

734
00:41:40,160 --> 00:41:44,480
Speaker 1: make wow, to sit through these ads were about to air. Oh,

735
00:41:44,560 --> 00:41:56,080
Speaker 1: I love them well together everything don't And we're back

736
00:41:56,160 --> 00:42:02,239
Speaker 1: from that really effortless adson I, um god, I missed

737
00:42:03,160 --> 00:42:06,120
Speaker 1: I missed you all too. Listeners don't know this, but

738
00:42:06,160 --> 00:42:08,799
Speaker 1: when we go out to ads, all of us as

739
00:42:08,800 --> 00:42:12,840
Speaker 1: hosts are ripped into a phantom zone of pure product placement,

740
00:42:13,320 --> 00:42:17,440
Speaker 1: and it is a nightmare of unimaginable torment which we

741
00:42:17,520 --> 00:42:19,680
Speaker 1: suffer for through all of you, for all of you

742
00:42:19,760 --> 00:42:25,719
Speaker 1: are listeners. Deals, amazing deals, amazing amazing deals. Yeah. So

743
00:42:26,239 --> 00:42:28,360
Speaker 1: I have a little bit more to say about Biden

744
00:42:28,600 --> 00:42:34,480
Speaker 1: and the the election. The whole picture, based on just

745
00:42:34,520 --> 00:42:37,040
Speaker 1: kind of all the research I put together, is not

746
00:42:37,239 --> 00:42:40,160
Speaker 1: super clear. The New York Times kind of analysis shows

747
00:42:40,160 --> 00:42:42,279
Speaker 1: a painfully close race, with Biden and Trump neck and

748
00:42:42,320 --> 00:42:44,640
Speaker 1: neck and battleground states and Biden with a comfortable lead

749
00:42:44,640 --> 00:42:49,000
Speaker 1: everywhere else. Um. Other less rigorous periodicals like USA Today

750
00:42:49,000 --> 00:42:52,319
Speaker 1: and The Hill give Biden actually a pretty sizable battleground lead,

751
00:42:52,840 --> 00:42:55,160
Speaker 1: and that has been reinforced by the most recent polling

752
00:42:55,239 --> 00:42:59,320
Speaker 1: in those states. Um. Now, there are two big factors

753
00:42:59,400 --> 00:43:01,200
Speaker 1: we see evit and stuff right now that could really

754
00:43:01,280 --> 00:43:03,520
Speaker 1: change this game come election day. One of them is

755
00:43:03,600 --> 00:43:09,000
Speaker 1: voter enthusiasm, where Trump absolutely annihilates Biden. Um. But about

756
00:43:09,840 --> 00:43:12,600
Speaker 1: of Biden supporters say they're enthusiastic compared to fifty three

757
00:43:12,640 --> 00:43:18,600
Speaker 1: percent of Trump supporters, which is that is shock? Uh,

758
00:43:18,640 --> 00:43:22,759
Speaker 1: it's it's yeah. And that figure for Biden is the

759
00:43:22,800 --> 00:43:25,600
Speaker 1: lowest on record for a Democratic candidate in twenty years

760
00:43:25,600 --> 00:43:31,640
Speaker 1: of ABC post polls. So that's not that's not great. Yeah,

761
00:43:31,719 --> 00:43:35,560
Speaker 1: it's not surprising, but it's not great. Um. That said,

762
00:43:35,600 --> 00:43:37,960
Speaker 1: the fact that only fifty percent of Trump supporters are

763
00:43:38,120 --> 00:43:41,000
Speaker 1: enthusiastic and he is a candidate who is backed by

764
00:43:41,040 --> 00:43:44,560
Speaker 1: a minority of the voting population, that also, you know,

765
00:43:44,640 --> 00:43:48,959
Speaker 1: you could see that as a is not a negative certainly. Um. Now,

766
00:43:49,960 --> 00:43:53,080
Speaker 1: perhaps probably as a general probably the most critical factor

767
00:43:53,080 --> 00:43:55,160
Speaker 1: in all of this is the economy. And the economy

768
00:43:55,239 --> 00:43:57,919
Speaker 1: was doing pretty well in numbers terms as we rolled

769
00:43:57,920 --> 00:44:02,840
Speaker 1: into January. Uh, um and yeah, Biden and early polls

770
00:44:02,880 --> 00:44:05,239
Speaker 1: led Trump led Biden by baout eleven points. And like

771
00:44:06,000 --> 00:44:09,000
Speaker 1: voter trust of how they'd handle the economy, the economy

772
00:44:09,120 --> 00:44:11,759
Speaker 1: is not doing so hot right now, so that could

773
00:44:11,800 --> 00:44:16,759
Speaker 1: have a real impact if it continues to be shifting brick. Yeah,

774
00:44:17,239 --> 00:44:19,080
Speaker 1: it comes down to for a lot of people ultimately

775
00:44:19,160 --> 00:44:22,799
Speaker 1: when they get into that booth, yep, yep, yeah, and

776
00:44:22,840 --> 00:44:24,960
Speaker 1: it's it's not looking great right now. So that's that's

777
00:44:24,960 --> 00:44:31,120
Speaker 1: another thing. Yeah. I want to close this segment off

778
00:44:31,120 --> 00:44:34,120
Speaker 1: by talking about where polls suggest Americans are landing on,

779
00:44:34,200 --> 00:44:37,279
Speaker 1: like the coronavirus ship and like how they feel about,

780
00:44:37,400 --> 00:44:40,640
Speaker 1: you know, all these protests cropping up stay at home orders.

781
00:44:41,040 --> 00:44:44,200
Speaker 1: About six of American voters say they are more concerned

782
00:44:44,239 --> 00:44:46,680
Speaker 1: that relaxing stay at home restrictions would cause more COVID

783
00:44:46,800 --> 00:44:49,440
Speaker 1: nineteen deaths than they are concerned that the restrictions will

784
00:44:49,520 --> 00:44:53,279
Speaker 1: hurt the economy, which is broadly good for Democrats um

785
00:44:53,480 --> 00:44:56,799
Speaker 1: strong majorities of Democrats and independence are more worried about

786
00:44:56,840 --> 00:45:00,080
Speaker 1: the coronavirus than the economy, while Republicans are divided on

787
00:45:00,120 --> 00:45:02,160
Speaker 1: the question, about half of them more concerned with how

788
00:45:02,200 --> 00:45:04,719
Speaker 1: the restrictions will affect the economy, and if the trend

789
00:45:04,840 --> 00:45:06,839
Speaker 1: stays well where it is, we're probably looking at good

790
00:45:06,840 --> 00:45:08,959
Speaker 1: news for the d n C. That's a pretty big

791
00:45:08,960 --> 00:45:11,799
Speaker 1: split even among Republicans, and the fact that independent side

792
00:45:11,840 --> 00:45:14,040
Speaker 1: overwhelmingly with dims on. This could move the needle in

793
00:45:14,080 --> 00:45:17,200
Speaker 1: a big way, especially if we see Republican dominated states

794
00:45:17,280 --> 00:45:21,799
Speaker 1: into early UH in their lockdowns early and that leads

795
00:45:21,800 --> 00:45:23,759
Speaker 1: to a corresponding wave of new deaths, and there's some

796
00:45:23,800 --> 00:45:26,520
Speaker 1: evidence that that's already starting to happen. This is the

797
00:45:26,600 --> 00:45:28,640
Speaker 1: kind of thing if it goes badly enough for the

798
00:45:28,680 --> 00:45:31,719
Speaker 1: Republicans that could flip the Senate along with the presidency,

799
00:45:31,760 --> 00:45:33,680
Speaker 1: which feels like a gross thing to say when we're

800
00:45:33,680 --> 00:45:37,000
Speaker 1: talking about potentially tens of thousands of lives, But this

801
00:45:37,080 --> 00:45:40,520
Speaker 1: is the soulless, gross political discussion moment for us, So

802
00:45:40,520 --> 00:45:43,960
Speaker 1: we're just going to talk about that. Um One particular

803
00:45:44,200 --> 00:45:46,480
Speaker 1: stat I find really interesting is that the percentage of

804
00:45:46,560 --> 00:45:48,959
Speaker 1: voters who say they're worried a family member might catch

805
00:45:49,000 --> 00:45:52,680
Speaker 1: the coronavirus has increased by twenty points over the last month.

806
00:45:53,239 --> 00:45:57,359
Speaker 1: UM So that again, this all kind of tracks well

807
00:45:57,400 --> 00:46:00,080
Speaker 1: to at least cut where the Democrats are standing right now.

808
00:46:00,840 --> 00:46:05,600
Speaker 1: UM So, Yeah. Another thing that's probably worth noting is

809
00:46:05,640 --> 00:46:08,600
Speaker 1: that since mid March, the share of voters who say

810
00:46:08,640 --> 00:46:10,239
Speaker 1: Trump is the most to blame for the spread of

811
00:46:10,280 --> 00:46:13,759
Speaker 1: coronavirus grew by eleven points, while net approval of his

812
00:46:13,800 --> 00:46:16,440
Speaker 1: handling of the outbreak fell by twelve points, and that's

813
00:46:16,480 --> 00:46:20,799
Speaker 1: by a morning Console poll. So things aren't trending in

814
00:46:20,800 --> 00:46:24,080
Speaker 1: a good direction for the president. All this comes with

815
00:46:24,160 --> 00:46:26,759
Speaker 1: the caveat that anything could happen at any point in

816
00:46:26,800 --> 00:46:30,479
Speaker 1: this election. It's not May yet. Yeah, it's not even

817
00:46:30,560 --> 00:46:34,280
Speaker 1: May yet. Aliens could land on the White House lawn

818
00:46:34,360 --> 00:46:39,080
Speaker 1: and Trump could fistfight their leader into submission, and that

819
00:46:39,080 --> 00:46:41,120
Speaker 1: that could have an effect on the election. Who the

820
00:46:41,200 --> 00:46:49,560
Speaker 1: funk knows um? Anyway, every time I realized how long

821
00:46:49,640 --> 00:46:53,719
Speaker 1: we have before the election, I my stomach drops. Just

822
00:46:53,760 --> 00:46:56,680
Speaker 1: the amount of twists and turns between now and then

823
00:46:57,440 --> 00:47:00,239
Speaker 1: are just you know, there's so many things as that

824
00:47:00,280 --> 00:47:04,759
Speaker 1: cannon will happen. Yeah, it's not even like officially, like

825
00:47:04,880 --> 00:47:09,440
Speaker 1: the nominee, like the convention hasn't even happened. It's yeah,

826
00:47:09,480 --> 00:47:14,839
Speaker 1: we are so early in this fucking process. But this

827
00:47:14,920 --> 00:47:16,960
Speaker 1: is all incredibly important to know and to be aware

828
00:47:16,960 --> 00:47:20,600
Speaker 1: of as a waiting through all of it. So yeah,

829
00:47:20,640 --> 00:47:23,759
Speaker 1: that carries me through my segment on let's look at

830
00:47:23,800 --> 00:47:27,080
Speaker 1: the numbers and not think about morality for a second. Cody,

831
00:47:27,080 --> 00:47:34,680
Speaker 1: do you want to bring us back to basic human morality. No, okay, yeah,

832
00:47:34,719 --> 00:47:37,520
Speaker 1: so we've already we've already talked about terror read before

833
00:47:37,640 --> 00:47:41,200
Speaker 1: on this podcast. UMS Allegations. You can check out a

834
00:47:41,280 --> 00:47:43,799
Speaker 1: podcast that is the name of this podcast that you're

835
00:47:43,800 --> 00:47:47,680
Speaker 1: listening to for more on that. UM. Tara was she

836
00:47:47,760 --> 00:47:51,160
Speaker 1: was one of the women who originally came forward UM

837
00:47:51,200 --> 00:47:55,239
Speaker 1: back in the day ninety years ago. UM about Joe

838
00:47:55,280 --> 00:48:01,880
Speaker 1: Biden's it's called a hands the approach to dealing with women. Um,

839
00:48:01,960 --> 00:48:05,200
Speaker 1: the handsiness, the grabby Joe stuff, the hair sniffing, that

840
00:48:05,320 --> 00:48:08,760
Speaker 1: kind of from all that ice cream. That's the problem.

841
00:48:09,360 --> 00:48:12,560
Speaker 1: I hate it when you call it sticky fingers. Oh no,

842
00:48:12,880 --> 00:48:18,000
Speaker 1: especially considering we're going to talk about Yeah, no, no, no, no, no,

843
00:48:18,000 --> 00:48:22,200
Speaker 1: Well I will not apologize. You shouldn't you get to

844
00:48:22,239 --> 00:48:29,280
Speaker 1: say that, but Cody and I have to express horror expressed. Yeah,

845
00:48:29,480 --> 00:48:32,959
Speaker 1: so she was part of that group back in the day.

846
00:48:33,160 --> 00:48:39,120
Speaker 1: Counted as a credible accusation, though Biden should note did,

847
00:48:39,600 --> 00:48:43,680
Speaker 1: and some really heavy air quotes, apologize for this behavior.

848
00:48:44,320 --> 00:48:48,440
Speaker 1: Let's listen to his apology real quick, I mean I

849
00:48:48,960 --> 00:48:52,359
Speaker 1: I I'm sorry this happened. Now. First, real quick, so

850
00:48:52,400 --> 00:48:54,279
Speaker 1: he said, he with a shrug. He says, sorry, I

851
00:48:54,320 --> 00:48:57,600
Speaker 1: invaded your space. Okay, very cool about the hair sniffing

852
00:48:57,600 --> 00:49:02,080
Speaker 1: and grabbing. Um. Yeah, it's interesting that he says that,

853
00:49:02,200 --> 00:49:06,239
Speaker 1: because when I was at uh the Buddha Bar in

854
00:49:06,600 --> 00:49:11,279
Speaker 1: Kiev and I accidentally vomited into a table full of

855
00:49:11,360 --> 00:49:16,360
Speaker 1: drinks um that that a family was having, I said

856
00:49:16,360 --> 00:49:19,880
Speaker 1: the same thing, um, which was that I'm sorry that happened,

857
00:49:19,960 --> 00:49:22,040
Speaker 1: because I was sorry that happened. But I still do

858
00:49:22,120 --> 00:49:24,799
Speaker 1: not take responsibility. We have no way of knowing you

859
00:49:24,840 --> 00:49:28,040
Speaker 1: know why the vomit wound up, that happened, and you're

860
00:49:28,040 --> 00:49:33,680
Speaker 1: sorry that it happened. Um. Yeah, it's interesting, like I'm

861
00:49:33,719 --> 00:49:38,480
Speaker 1: sorry that this happened. Yeah, like the time I was

862
00:49:38,520 --> 00:49:41,839
Speaker 1: throwing bottles onto the roofs of houses in Lubyana because

863
00:49:41,880 --> 00:49:43,560
Speaker 1: I was really drunk at two in the morning and

864
00:49:43,600 --> 00:49:46,320
Speaker 1: one of them hit a window, Like, I'm sorry that happened.

865
00:49:46,440 --> 00:49:49,560
Speaker 1: I wish it hadn't happened, but there's nothing I can

866
00:49:49,640 --> 00:49:52,239
Speaker 1: do now to make it unhappened. So why are we

867
00:49:52,480 --> 00:49:54,480
Speaker 1: talking knows if there was even anything you did to

868
00:49:54,640 --> 00:49:57,600
Speaker 1: make it happen. It's just a thing that happened. Yeah.

869
00:49:57,840 --> 00:50:02,960
Speaker 1: Correlation does not equal causation. There's there's there are ten

870
00:50:03,000 --> 00:50:06,600
Speaker 1: more seconds. Um. But but I'm not sorry in the

871
00:50:06,719 --> 00:50:10,680
Speaker 1: sense that I think I did anything that was intentionally

872
00:50:11,000 --> 00:50:16,160
Speaker 1: designed to do anything wrong or be inappropriate. So that's ah, yes,

873
00:50:16,280 --> 00:50:19,680
Speaker 1: the classic sorry not sorry, Sorry this happened. I'm not

874
00:50:19,840 --> 00:50:23,560
Speaker 1: sorry in the sense that I intend I didn't intentionally

875
00:50:23,640 --> 00:50:30,240
Speaker 1: I didn't intentionally like do anything intentionally wrong. Um. I anyway,

876
00:50:30,320 --> 00:50:32,880
Speaker 1: I don't know if you you heard that apology, like,

877
00:50:33,080 --> 00:50:36,439
Speaker 1: good job, that's fine. Um, we don't need to over

878
00:50:36,480 --> 00:50:43,960
Speaker 1: analyze it. But nice try Joe. I guess it's my point. Yeah.

879
00:50:44,400 --> 00:50:49,600
Speaker 1: So anyway, that happened, uh again ninety years ago, and

880
00:50:50,080 --> 00:50:53,640
Speaker 1: we all seem to sort of forget about it, um

881
00:50:53,680 --> 00:50:57,960
Speaker 1: and continue continue on. Yeah, like that Ukrainian family exactly.

882
00:50:58,120 --> 00:51:01,799
Speaker 1: Yes now, but since then, uh Tara came forward with

883
00:51:01,840 --> 00:51:05,520
Speaker 1: more details about what happened to her. Um. Basically, the

884
00:51:05,560 --> 00:51:10,520
Speaker 1: reaction to this was largely non existent. People who weren't

885
00:51:10,520 --> 00:51:13,840
Speaker 1: ignoring it. We're calling it a smear job, a a

886
00:51:13,960 --> 00:51:17,600
Speaker 1: ploy by bitter Bernie Bros. They accused her of being

887
00:51:17,600 --> 00:51:21,160
Speaker 1: a Russian op of some kind due to a public

888
00:51:21,239 --> 00:51:24,040
Speaker 1: medium post. So great job over there at the Kremlin

889
00:51:24,600 --> 00:51:29,680
Speaker 1: on your ops. Um, uh. Some people were contacted, there

890
00:51:29,719 --> 00:51:32,000
Speaker 1: was some there was some extra reporting on it. Some

891
00:51:32,040 --> 00:51:37,040
Speaker 1: people corroborated certain details. Others deny that it happened. UM.

892
00:51:37,080 --> 00:51:39,960
Speaker 1: Some people remembered her being removed from being in charge

893
00:51:39,960 --> 00:51:44,439
Speaker 1: of the interns and then let go. UM. One thing

894
00:51:45,719 --> 00:51:49,400
Speaker 1: that Tara did mention also was that after it happened,

895
00:51:50,040 --> 00:51:54,640
Speaker 1: her mother called into Larry King Live and to talk

896
00:51:54,680 --> 00:51:58,120
Speaker 1: about this, and about a week ago that clip surfaced

897
00:51:58,440 --> 00:52:01,600
Speaker 1: UM or a clip surfaced of what seems to be

898
00:52:01,920 --> 00:52:05,600
Speaker 1: that happening. So a woman calls Arry King uh and

899
00:52:05,719 --> 00:52:09,319
Speaker 1: talks about an issue that her daughter was having with

900
00:52:09,360 --> 00:52:13,759
Speaker 1: her boss's behavior and whether or not they weren't sure

901
00:52:13,800 --> 00:52:16,680
Speaker 1: like what to do about it, uh, how to hold

902
00:52:16,719 --> 00:52:19,440
Speaker 1: that person accountable? UM, and weren't sure if they were

903
00:52:19,600 --> 00:52:22,160
Speaker 1: to go. I believe they specifically said, you know she

904
00:52:22,239 --> 00:52:28,200
Speaker 1: works for yeah, and and how do you how do

905
00:52:28,239 --> 00:52:30,480
Speaker 1: we deal with the situation like this? Also, what was

906
00:52:30,520 --> 00:52:34,359
Speaker 1: interesting about that is that the caller was calling for Mike,

907
00:52:34,400 --> 00:52:36,439
Speaker 1: don't have it in front of me the same place

908
00:52:36,480 --> 00:52:40,760
Speaker 1: where where Tara's mom owned a house. It seems legit

909
00:52:40,880 --> 00:52:43,520
Speaker 1: that this is it seems like it's it's her UM.

910
00:52:43,520 --> 00:52:47,280
Speaker 1: It would be very weird for her to have mentioned

911
00:52:47,280 --> 00:52:49,560
Speaker 1: this call and for this call to a similar call

912
00:52:49,600 --> 00:52:52,600
Speaker 1: to exist in it to not be her. Yeah, I mean,

913
00:52:52,640 --> 00:52:55,319
Speaker 1: I'll say, I think this is very clearly Tara's mom

914
00:52:55,360 --> 00:52:58,440
Speaker 1: calling in. Uh, it seems too direct to be doubted.

915
00:52:58,520 --> 00:53:00,920
Speaker 1: But I also think the fact that like a lot

916
00:53:00,960 --> 00:53:03,960
Speaker 1: of people might have called in complaining about senators sexually

917
00:53:03,960 --> 00:53:10,000
Speaker 1: harassing their daughters, that part I don't have trouble believing, like, like, yeah,

918
00:53:10,000 --> 00:53:13,759
Speaker 1: there could be us um, but yes, this is very

919
00:53:13,760 --> 00:53:16,240
Speaker 1: consistent with what she said before the video was found.

920
00:53:16,480 --> 00:53:20,160
Speaker 1: It's consistent with and so at least this detail seems

921
00:53:20,160 --> 00:53:23,240
Speaker 1: to be accurate. The call itself is a little vague,

922
00:53:23,719 --> 00:53:27,400
Speaker 1: you know, it doesn't describe the event that we've heard described.

923
00:53:27,920 --> 00:53:30,000
Speaker 1: One thing I've seen people point out was like, well, actually,

924
00:53:30,040 --> 00:53:32,840
Speaker 1: like one thing, she mentions that her daughter still expressed

925
00:53:32,880 --> 00:53:36,680
Speaker 1: like respect to her boss and the call, Yes, as

926
00:53:36,760 --> 00:53:42,000
Speaker 1: Tara did before the call was stated specifically, that's why

927
00:53:42,040 --> 00:53:45,839
Speaker 1: she didn't say any um. And I guess this and

928
00:53:45,960 --> 00:53:47,719
Speaker 1: we don't need to go down the laundry list of

929
00:53:47,719 --> 00:53:49,680
Speaker 1: all the things that people have been saying about this,

930
00:53:50,160 --> 00:53:55,279
Speaker 1: but it's another very similar thing we heard during the

931
00:53:55,400 --> 00:53:59,960
Speaker 1: Kavanaugh forward stuff. Um, why didn't she come forward? Why

932
00:54:00,080 --> 00:54:03,200
Speaker 1: she expressing this respect still? Um, I don't know, Like

933
00:54:03,680 --> 00:54:06,600
Speaker 1: women were still in Harvey Weinstein's movies, like I don't like,

934
00:54:06,680 --> 00:54:09,160
Speaker 1: I don't know what to tell you. Are we are?

935
00:54:10,719 --> 00:54:13,480
Speaker 1: I don't think it's too hard to wrap our minds

936
00:54:13,520 --> 00:54:17,960
Speaker 1: around why somebody, uh would continue to have respect or

937
00:54:18,000 --> 00:54:22,480
Speaker 1: at least publicly have respect for somebody, or wouldn't have

938
00:54:22,600 --> 00:54:25,920
Speaker 1: come forward with all the information, all the different things that,

939
00:54:27,200 --> 00:54:31,680
Speaker 1: especially that survivors of society is different even about this

940
00:54:31,800 --> 00:54:37,160
Speaker 1: specific kind of thing. Um, she obviously, uh like adored

941
00:54:37,239 --> 00:54:40,959
Speaker 1: him and respected him before when she wanted to work

942
00:54:41,000 --> 00:54:43,759
Speaker 1: for him. Um. So I don't know. It's just this

943
00:54:44,600 --> 00:54:48,600
Speaker 1: just an example of the kind of dismissive reaction to

944
00:54:49,280 --> 00:54:53,359
Speaker 1: this that we've seen, um in other scenarios where those

945
00:54:53,360 --> 00:54:55,640
Speaker 1: same people doing it now were like, don't do that

946
00:54:55,719 --> 00:55:01,799
Speaker 1: to those other people. But anyway, Um. A bit after that,

947
00:55:02,040 --> 00:55:06,680
Speaker 1: Video Business Insider published a piece by Rich McHugh, Ronan

948
00:55:06,760 --> 00:55:10,680
Speaker 1: Farah's old producer, um The Feast. The piece focuses on

949
00:55:11,400 --> 00:55:15,800
Speaker 1: two women, both corroborating various levels of details of Tara's story,

950
00:55:16,280 --> 00:55:19,480
Speaker 1: one a lot of details of it. One of them

951
00:55:19,520 --> 00:55:23,360
Speaker 1: was is a former colleague of Terroris. Lorraine Sanchez worked

952
00:55:23,360 --> 00:55:25,560
Speaker 1: with Reid in the office of a California state senator

953
00:55:25,600 --> 00:55:29,040
Speaker 1: in the nineties. She told Insider that she recalls read

954
00:55:29,080 --> 00:55:31,360
Speaker 1: complaining at the time that her former boss in Washington,

955
00:55:31,480 --> 00:55:34,279
Speaker 1: d C. Had sexually harassed her, and that she had

956
00:55:34,280 --> 00:55:39,200
Speaker 1: been fired after raising concerns. Lorraine remembers this happening. Um.

957
00:55:39,280 --> 00:55:41,799
Speaker 1: She actually she told Tara, like, don't worry. That kind

958
00:55:41,840 --> 00:55:44,160
Speaker 1: of thing won't happen until you here at this new job.

959
00:55:45,239 --> 00:55:49,200
Speaker 1: And the other woman that is in the piece, I

960
00:55:49,200 --> 00:55:52,560
Speaker 1: think is obviously the more compelling. It corroborates way more.

961
00:55:53,440 --> 00:55:57,759
Speaker 1: And her name is is Linda Lacass. She remembers, well,

962
00:55:57,800 --> 00:56:01,520
Speaker 1: first of all, if it matters to you, she is

963
00:56:01,560 --> 00:56:04,719
Speaker 1: a Biden supporter, Like, if that is a concern of

964
00:56:04,800 --> 00:56:08,640
Speaker 1: yours in these kinds of allegations, not a concern of mine,

965
00:56:08,680 --> 00:56:11,600
Speaker 1: but it might might be a concern of somebody's. She

966
00:56:11,760 --> 00:56:14,839
Speaker 1: is a Joe Biden supporter. Um, And she actually still

967
00:56:14,840 --> 00:56:17,920
Speaker 1: plans on voting for him, but still felt compelled to

968
00:56:17,920 --> 00:56:22,960
Speaker 1: come forward. So she recalls basically, uh, yeah, she recalls

969
00:56:23,400 --> 00:56:27,960
Speaker 1: she would smoke cigarettes with tera. Um. She's her neighbor. Um,

970
00:56:28,080 --> 00:56:31,279
Speaker 1: their daughters would swim in the pool, and they would

971
00:56:31,320 --> 00:56:34,120
Speaker 1: just have these conversations at night. Um and and at

972
00:56:34,120 --> 00:56:38,000
Speaker 1: one point violent men were brought up. What we were

973
00:56:38,040 --> 00:56:41,200
Speaker 1: We were talking about violent stories because I had a

974
00:56:41,280 --> 00:56:44,319
Speaker 1: violent situation. We just started talking about things, and she

975
00:56:44,480 --> 00:56:46,920
Speaker 1: just told me about the senator that she had worked

976
00:56:46,920 --> 00:56:49,560
Speaker 1: for and he put his hand up her skirt. I'm

977
00:56:49,560 --> 00:56:52,600
Speaker 1: going to read just a little more of Linda recalling

978
00:56:53,560 --> 00:57:00,400
Speaker 1: what she was told by read In about. I remember

979
00:57:00,440 --> 00:57:04,680
Speaker 1: her saying, here was this person that she was working for,

980
00:57:04,920 --> 00:57:07,640
Speaker 1: and she idolized him, and he kind of put her

981
00:57:07,680 --> 00:57:09,879
Speaker 1: up against a wall, and he put his hand up

982
00:57:09,880 --> 00:57:12,440
Speaker 1: her skirt and he put his fingers inside her. She

983
00:57:12,520 --> 00:57:15,400
Speaker 1: felt like she was assaulted, and she really didn't feel

984
00:57:15,440 --> 00:57:19,000
Speaker 1: there was anything she could do. She was crying. She

985
00:57:19,120 --> 00:57:21,200
Speaker 1: was upset, and the more she talked about it, the

986
00:57:21,240 --> 00:57:24,160
Speaker 1: more she started crying. I remember saying that she needed

987
00:57:24,200 --> 00:57:27,840
Speaker 1: to file a police report. Lak I said she does

988
00:57:27,840 --> 00:57:30,200
Speaker 1: not recall whether read supplied any other details, like the

989
00:57:30,200 --> 00:57:33,840
Speaker 1: location of the alleged asault or anything Biden may have said. Um,

990
00:57:34,040 --> 00:57:36,720
Speaker 1: I don't remember all the details. I remember the skirt,

991
00:57:36,960 --> 00:57:41,280
Speaker 1: I remember the fingers I remember she was devastated. UM,

992
00:57:41,360 --> 00:57:49,480
Speaker 1: so this is yeah the gist of her recollection. Yeah,

993
00:57:49,680 --> 00:57:53,920
Speaker 1: that sounds about and I think, I mean this is

994
00:57:53,960 --> 00:57:58,080
Speaker 1: all again this corroborates quite a bit here. Um, A

995
00:57:58,120 --> 00:58:01,000
Speaker 1: lot of the details that people have and saying like, well,

996
00:58:01,040 --> 00:58:03,480
Speaker 1: why did she change her story now that this and

997
00:58:03,520 --> 00:58:07,280
Speaker 1: this and as well, we again, this is a a

998
00:58:07,400 --> 00:58:10,560
Speaker 1: thing people have said about many other situations like this.

999
00:58:11,040 --> 00:58:13,320
Speaker 1: There are a lot of reasons people don't come forward

1000
00:58:13,320 --> 00:58:17,120
Speaker 1: with specific details like this, um, and then wind up

1001
00:58:17,160 --> 00:58:21,920
Speaker 1: doing that. One interesting thing I think about this is

1002
00:58:23,040 --> 00:58:29,200
Speaker 1: that the reaction originally to this accusation that we've covered

1003
00:58:29,320 --> 00:58:34,120
Speaker 1: on the other episode, that reaction is what made this

1004
00:58:34,160 --> 00:58:38,880
Speaker 1: woman come forward about having heard this story. Um. Again,

1005
00:58:38,960 --> 00:58:41,360
Speaker 1: she's a Biden supporter, she plans on voting for him.

1006
00:58:41,520 --> 00:58:45,160
Speaker 1: But I wanted to come forward. Um. She said, you

1007
00:58:45,200 --> 00:58:47,400
Speaker 1: know this happened, and I know it did because I

1008
00:58:47,440 --> 00:58:51,880
Speaker 1: remember talking about it and from the piece. After seeing

1009
00:58:51,920 --> 00:58:55,080
Speaker 1: how political operatives and news organizations responded to the claim,

1010
00:58:55,400 --> 00:58:58,000
Speaker 1: the Biden camp denied it out right, and critics scoured

1011
00:58:58,040 --> 00:59:00,680
Speaker 1: reads social media accounts for evidence of a reported affinity

1012
00:59:00,680 --> 00:59:04,080
Speaker 1: for Vladimir Putin. Lecass said she decided to come forward.

1013
00:59:04,760 --> 00:59:07,440
Speaker 1: And I'm not going to get into like specific people

1014
00:59:07,680 --> 00:59:13,080
Speaker 1: or publications or podcasts or whatever who we're sort of

1015
00:59:13,120 --> 00:59:16,720
Speaker 1: a part of that ecosystem, ignoring it, denying it, and

1016
00:59:16,760 --> 00:59:19,640
Speaker 1: trying to smear her. But I do find it interesting

1017
00:59:19,680 --> 00:59:22,480
Speaker 1: that that is that's what did this. The people who

1018
00:59:22,480 --> 00:59:25,520
Speaker 1: have been uh putting their heads in the sand about

1019
00:59:25,560 --> 00:59:29,400
Speaker 1: this or trying to discredit her are the reason that

1020
00:59:29,560 --> 00:59:35,480
Speaker 1: this woman came forward to corroborate it more than anyone has.

1021
00:59:37,240 --> 00:59:40,200
Speaker 1: And um, it's the kind of things that you know,

1022
00:59:40,240 --> 00:59:43,360
Speaker 1: you've seen these articles, even this recent one, um, which

1023
00:59:44,160 --> 00:59:45,960
Speaker 1: isn't what caused her to come forward, but I think

1024
00:59:45,960 --> 00:59:48,720
Speaker 1: it's a good example of this kind of thing. The

1025
00:59:48,760 --> 00:59:53,760
Speaker 1: Washington Post published to peace um recently yesterday titled the

1026
00:59:53,840 --> 01:00:01,760
Speaker 1: developments and allegations against Biden amplify efforts to question his behavior. Um. Really, really,

1027
01:00:02,120 --> 01:00:04,680
Speaker 1: I know, it's a very funny headline. They're doing, They're

1028
01:00:04,720 --> 01:00:09,160
Speaker 1: doing their best, um, But that headline has been changed

1029
01:00:09,440 --> 01:00:14,400
Speaker 1: and now it reads Trump allies highlight new claims regarding

1030
01:00:14,440 --> 01:00:18,720
Speaker 1: allegations against Biden. Um. It is this kind of stuff

1031
01:00:19,080 --> 01:00:24,160
Speaker 1: that is disgusting that is making people even more furious

1032
01:00:24,200 --> 01:00:28,240
Speaker 1: about it. And it's making uh people come forward to

1033
01:00:28,400 --> 01:00:32,320
Speaker 1: point to point it out. Um, even any mention of

1034
01:00:32,360 --> 01:00:35,200
Speaker 1: this case, you're asked, do you like do you love

1035
01:00:35,320 --> 01:00:38,240
Speaker 1: you love Donald Trump? Don't you? Um? And that's not

1036
01:00:38,280 --> 01:00:42,960
Speaker 1: what we're talking about. There is zero consistency with how

1037
01:00:43,000 --> 01:00:49,800
Speaker 1: people have dealt with, um, this allocation. And it's very transparent. Um,

1038
01:00:49,840 --> 01:00:53,960
Speaker 1: it's very obvious. Why. I don't know how long this

1039
01:00:54,040 --> 01:00:58,440
Speaker 1: can be sustained. He hasn't been asked about it. No

1040
01:00:58,440 --> 01:01:02,680
Speaker 1: one wants to talk about just this, ignoring it. I

1041
01:01:02,680 --> 01:01:05,840
Speaker 1: mean to be honest, right on up to the election.

1042
01:01:05,920 --> 01:01:09,320
Speaker 1: Maybe yeah, it might. It might work out just fine,

1043
01:01:10,560 --> 01:01:14,120
Speaker 1: like for the from of like the Biden campaign. Yeah,

1044
01:01:14,160 --> 01:01:17,120
Speaker 1: like in my it might make no matter how many

1045
01:01:17,160 --> 01:01:20,200
Speaker 1: more people come forward. It may have no impact on

1046
01:01:20,240 --> 01:01:25,440
Speaker 1: the election whatsoever. That's just an ugly reality, the depressing Yeah,

1047
01:01:26,000 --> 01:01:28,840
Speaker 1: yeah that I don't know that it will. We've already

1048
01:01:28,880 --> 01:01:32,000
Speaker 1: elected I mean, we've elected tons of rapists and uh,

1049
01:01:32,160 --> 01:01:40,640
Speaker 1: sexual assaulter perhaps our presidents perhaps, but um uh yeah,

1050
01:01:40,720 --> 01:01:43,480
Speaker 1: I I just don't see it moving the needle, which

1051
01:01:43,800 --> 01:01:48,200
Speaker 1: is a completely depressing reality. I mean, I I resent,

1052
01:01:48,280 --> 01:01:53,120
Speaker 1: like hell that we're in this situation. I um, yeah,

1053
01:01:53,160 --> 01:01:55,479
Speaker 1: it's it's not pleasant to be in a situation where

1054
01:01:55,480 --> 01:02:00,320
Speaker 1: people are honestly saying I prefer that the competent apist

1055
01:02:00,520 --> 01:02:03,080
Speaker 1: respond to pandemics and have the power to end all

1056
01:02:03,160 --> 01:02:06,440
Speaker 1: human life with nuclear weapons, as opposed to the incompetent rapist.

1057
01:02:06,560 --> 01:02:11,439
Speaker 1: Like that's and that all of these powerful women that

1058
01:02:12,200 --> 01:02:15,560
Speaker 1: we may not like them, but you know, the politics

1059
01:02:15,560 --> 01:02:19,200
Speaker 1: of the people that might be Biden's VP pick. Yeah,

1060
01:02:19,520 --> 01:02:21,960
Speaker 1: that makes me sick that they have to swallow that,

1061
01:02:22,120 --> 01:02:26,360
Speaker 1: whomever they are, and they do. They have to figure

1062
01:02:26,400 --> 01:02:29,280
Speaker 1: out how to Yeah, they have to come to terms

1063
01:02:29,320 --> 01:02:32,400
Speaker 1: with this, with this and at least at least address

1064
01:02:32,440 --> 01:02:36,960
Speaker 1: it because and otherwise, um, I don't know, like how

1065
01:02:37,120 --> 01:02:40,560
Speaker 1: credible any of these people can be seen as Like

1066
01:02:41,280 --> 01:02:44,600
Speaker 1: that's that's one of the I think this particular case,

1067
01:02:45,040 --> 01:02:49,560
Speaker 1: uh is uh really discussing that we're in, But in general,

1068
01:02:49,840 --> 01:02:53,160
Speaker 1: there's this sense, um I think of of that where

1069
01:02:53,200 --> 01:02:57,200
Speaker 1: like we're not even able to bring anything up anymore

1070
01:02:57,840 --> 01:03:01,600
Speaker 1: without it being like this ugly, ugly discussion and like

1071
01:03:01,720 --> 01:03:03,600
Speaker 1: you like Trump and you're like you like this, right,

1072
01:03:04,560 --> 01:03:07,880
Speaker 1: and it's like how how how can we function? Um?

1073
01:03:08,200 --> 01:03:11,600
Speaker 1: Shouldn't everybody at least be able to say, he's nobody's

1074
01:03:11,640 --> 01:03:15,160
Speaker 1: first choice and he's bad for this reason. This is bad.

1075
01:03:15,240 --> 01:03:17,320
Speaker 1: He should be doing this better. It would be nice

1076
01:03:17,360 --> 01:03:20,760
Speaker 1: if he did this. And this is an allegation that's real,

1077
01:03:21,360 --> 01:03:26,080
Speaker 1: and it sucks. It sucks in this situation, Cody, what

1078
01:03:26,160 --> 01:03:29,960
Speaker 1: you're expressing frustration with is the real purpose of the

1079
01:03:30,000 --> 01:03:33,400
Speaker 1: Russian disinformation efforts. More than anything, it's to make us

1080
01:03:33,440 --> 01:03:36,720
Speaker 1: all feel like it's to make to make honest discourse impossible,

1081
01:03:36,920 --> 01:03:39,360
Speaker 1: Like that's the goal. It's it's to crater the nation

1082
01:03:39,440 --> 01:03:41,640
Speaker 1: by making it impossible for us to even fucking talk

1083
01:03:41,680 --> 01:03:45,720
Speaker 1: about this ship. Um, Honestly, Russia doesn't have to do

1084
01:03:45,800 --> 01:03:50,440
Speaker 1: any disinformation anymore. We just are all accusing each other

1085
01:03:50,640 --> 01:03:54,240
Speaker 1: of being agents and ship. Yeah, there's You can make

1086
01:03:54,280 --> 01:03:57,320
Speaker 1: a case that no amount of additional disinformation could do

1087
01:03:57,560 --> 01:04:00,120
Speaker 1: functionally more damage than has already been done by the

1088
01:04:00,160 --> 01:04:04,160
Speaker 1: fact that the reality of the disinformation is now in

1089
01:04:04,240 --> 01:04:12,240
Speaker 1: everybody's head. Um, it's cool. Oh, oh it's cool. Yeah,

1090
01:04:12,880 --> 01:04:16,440
Speaker 1: it's cool. That's it. Yeah, Yeah, it's um it is

1091
01:04:16,880 --> 01:04:22,080
Speaker 1: impost drippy ice cream cone. Yeah. I mean the uplifting

1092
01:04:22,120 --> 01:04:24,840
Speaker 1: part is that, outside of you know, the fact that

1093
01:04:24,920 --> 01:04:31,480
Speaker 1: Joe Biden's a bad person. Um, the president's coalition seems

1094
01:04:31,480 --> 01:04:33,720
Speaker 1: to be weaker than some people are getting him credit for.

1095
01:04:33,960 --> 01:04:37,080
Speaker 1: And that's a good thing if it remains true throughout

1096
01:04:37,120 --> 01:04:40,360
Speaker 1: at the very least, it's not nothing that is yeah

1097
01:04:40,560 --> 01:04:44,000
Speaker 1: for us right now today to take comfort in. Yeah,

1098
01:04:44,280 --> 01:04:47,760
Speaker 1: the right, the right rapist may win. Yeah, you can go.

1099
01:04:49,320 --> 01:04:54,440
Speaker 1: You wanna pick me up? Check out today? Um, Hillary

1100
01:04:54,480 --> 01:04:59,080
Speaker 1: Clinton surprise guest for Joe Biden's virtual town hall. Uh,

1101
01:04:59,320 --> 01:05:02,240
Speaker 1: talking about um, women who have lost their jobs through

1102
01:05:02,240 --> 01:05:04,840
Speaker 1: no fault of their own. That's a direct quote from

1103
01:05:04,880 --> 01:05:12,600
Speaker 1: Joe Biden today. God damn it talking about it's all good.

1104
01:05:13,480 --> 01:05:15,600
Speaker 1: I ruined it. I ruined it by bringing it down again.

1105
01:05:15,640 --> 01:05:22,080
Speaker 1: I'm sorry. Well, well I've got something positive. Yeah, like

1106
01:05:22,280 --> 01:05:24,440
Speaker 1: what we do. You can check us out online, a

1107
01:05:25,000 --> 01:05:29,880
Speaker 1: fair pod on Instagram and Twitter. On the bright side, plugs,

1108
01:05:30,560 --> 01:05:32,800
Speaker 1: I mean, I would recommend avoiding Twitter, but if you're

1109
01:05:32,840 --> 01:05:36,480
Speaker 1: on Twitter, check us out. I have something positive to

1110
01:05:38,000 --> 01:05:41,560
Speaker 1: earlier today, the episodes that we plugged this in specifically

1111
01:05:41,560 --> 01:05:45,280
Speaker 1: haven't dropped behind the bastards. But I posted a link

1112
01:05:45,360 --> 01:05:47,240
Speaker 1: on my Twitter to a go fund me for a

1113
01:05:47,360 --> 01:05:51,040
Speaker 1: charity in Portland that is raising money to buy the

1114
01:05:51,120 --> 01:05:54,520
Speaker 1: Portland Diaper Bank, which supplies free diapers to poor people

1115
01:05:54,840 --> 01:05:57,480
Speaker 1: you cannot afford diapers, and we've raised about three thousand

1116
01:05:57,520 --> 01:06:01,320
Speaker 1: dollars just off of the tweet um Bucks. So if

1117
01:06:01,360 --> 01:06:03,720
Speaker 1: you go to COVID nineteen response and Diaper Need on

1118
01:06:03,800 --> 01:06:06,000
Speaker 1: go fund Me, just type that in you will be

1119
01:06:06,040 --> 01:06:09,200
Speaker 1: taken to the page COVID nineteen response and Diaper Need

1120
01:06:09,480 --> 01:06:11,480
Speaker 1: or if you find my pin tweet on Twitter at

1121
01:06:11,520 --> 01:06:14,439
Speaker 1: I right okay, you can donate and help people who

1122
01:06:14,440 --> 01:06:17,760
Speaker 1: can't afford diapers for their babies afford diapers for their babies,

1123
01:06:18,080 --> 01:06:20,720
Speaker 1: and that will make things slightly less awful than they

1124
01:06:20,720 --> 01:06:24,000
Speaker 1: were before those women had diapers for their babies. All

1125
01:06:24,080 --> 01:06:37,000
Speaker 1: of that. Robert Ever I Tried. Worst Year Ever is

1126
01:06:37,000 --> 01:06:39,680
Speaker 1: a production of I heart Radio. For more podcasts from

1127
01:06:39,680 --> 01:06:42,880
Speaker 1: my heart Radio, visit the i heart Radio app, Apple Podcasts,

1128
01:06:42,960 --> 01:06:44,840
Speaker 1: or wherever you listen to your favorite shows