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Speaker 1: Hey, guys, ready or not, twenty twenty four is here

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Speaker 1: and we here at breaking points, are already thinking of

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Speaker 1: ways we can up our game for this critical election.

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Speaker 2: We rely on our premium subs to expand coverage, upgrade

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Speaker 2: the studio ad staff, give you, guys, the best independent.

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Speaker 3: Coverage that is possible.

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Speaker 2: If you like what we're all about, it just means

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Speaker 2: the absolute world to have your support. But enough with that,

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Speaker 2: let's get to the show. Good morning, everybody, Happy Monday.

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Speaker 3: We have an amazing show for everybody today. What do

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Speaker 3: we impressed all? Indeed, we do.

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Speaker 1: Lots of things happening here and around the world. So

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Speaker 1: a bunch of new polls came out, none of them

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Speaker 1: really very good for Democrats. Will take a look at

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Speaker 1: the shifts there and what exactly is going on. We're

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Speaker 1: also going to speak to Senator Nina Turner. She is

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Speaker 1: going to talk to us about that Obama lecture to

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Speaker 1: black men wild She has a lot of thoughts, so

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Speaker 1: excited to talk to her about that. And also Dems

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Speaker 1: are cutting an ad against Jill Stein another third party Cannis.

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Speaker 1: That's a first, and I think it displays their nervousness

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Speaker 1: about how much Jill Stein and Pertainer could cut into

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Speaker 1: their vote totals, probably in states like Michigan. So we're

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Speaker 1: also going to ask Nina Turner about that. Apparently Trump

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Speaker 1: is saying that he is going to go on Joe

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Speaker 1: Rogan's podcast. Roganhead in the past resisted having the former

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Speaker 1: president on. Perhaps that may be changing, so we'll talk

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Speaker 1: about that in the broader context of what people are

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Speaker 1: deeming now the podcast election, a lot of very troubling

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Speaker 1: news coming out of Israel and Gaza. In particular, there

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Speaker 1: was a horrific strike by Israel on a hospital a

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Speaker 1: Tens city there for displaced people caught fire. There are

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Speaker 1: just unimaginably awful images of patient strapped to ivs who

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Speaker 1: are being burned alive. So we will brace yourself for

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Speaker 1: that one, but we'll talk about that. Also Haswlas struck

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Speaker 1: in Israeli military base and there were some significant number.

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Speaker 4: Of casualties there. That's quite significant as well. We're taking

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Speaker 4: a look at.

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Speaker 1: On a much lighter note, Gretchen Witmer apologizing after filming

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Speaker 1: a really weird video. Show you that, and I'm taking

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Speaker 1: a look at Elon's impact on this election, which may

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Speaker 1: actual be unprecedented given the fact that Trump is saying

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Speaker 1: he gave he is giving him five hundred million dollars,

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Speaker 1: so half a billion dollars. And obviously he's running an

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Speaker 1: entire social media platform for his benet benefit. He's effectively

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Speaker 1: running the Trump campaign in Pennsylvania, which is the most

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Speaker 1: critical swing state.

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Speaker 4: So we'll take a look at all of those things.

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Speaker 3: That's going to be really interesting before we get to that.

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Speaker 2: Thank you to everybody he's been signing up at breakingpoints

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Speaker 2: dot com premium subscribers. Remember we have that exclusive election

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Speaker 2: content with our forecaster Logan. He will be on the

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Speaker 2: show tomorrow, so you're going to take some behind the

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Speaker 2: scenes look. I found his analysis like so helpful. This

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Speaker 2: guy is so in the weeds. And we also will

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Speaker 2: be dropping to exclusive election content as we get closer

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Speaker 2: to election day.

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Speaker 3: How long is it twenty one? We have twenty two days?

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Speaker 4: I think it is there.

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Speaker 2: You go, really three weeks one, so we're getting down

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Speaker 2: to the wire pretty close to the time. Change too

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Speaker 2: excited for that right before election day, so we get

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Speaker 2: two double whammy's. But go ahead and sign out breakingpoints

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Speaker 2: dot com. You'll be able to take a look at

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Speaker 2: our maps we'll just say, you know, our maps were

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Speaker 2: quite accurate last time, so there you.

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Speaker 4: Go, here's more of them mine. I got to give

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Speaker 4: you a credit for that.

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Speaker 2: You know, it's funny I called every state in the election.

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Speaker 2: I thought I would get more credit for it, and

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Speaker 2: it ended up though, because of stop the steal.

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Speaker 3: Republicans were like, no.

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Speaker 4: Your map, your math is wrong.

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Speaker 3: But yeah, I did call it the election.

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Speaker 2: I didn't mistakenly click Maine wrong, so it doesn't look right, but.

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Speaker 4: Stating error it was at I apologize.

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Speaker 2: Yeah, so we'll see. You want to go ahead and

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Speaker 2: sign up. You can take a look at that. We'll

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Speaker 2: revealed them a couple of days before election day. We'll

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Speaker 2: all talk about it and stuff like that. So let's

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Speaker 2: go ahead and start with the polls. As you said,

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Speaker 2: things really not looking good for Kamala Harris and the

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Speaker 2: Democrats right now. Let's put this up there right now.

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Speaker 2: Three national polls dropped yesterday morning. ABC IPSOS Harris was

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Speaker 2: up fifty to forty eight, CBS News You Go, Harris

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Speaker 2: was up fifty one forty eight, NBC News forty eight

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Speaker 2: forty eight tied. All three had their last polls in September,

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Speaker 2: so listen to this. ABC in September, Harris was up

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Speaker 2: by six, now only up by two, NBC Harris was

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Speaker 2: up by four, up now by three, and NBC probably

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Speaker 2: the biggest drop, had Harris up by five at that time,

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Speaker 2: now having the race tied. So keep in mind, not

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Speaker 2: only are all of these polls within the margin of error,

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Speaker 2: but most importantly, two or three points in the national

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Speaker 2: popular vote is just not going to cut three maybe,

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Speaker 2: but two almost certainly not.

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Speaker 3: You guys can go ahead and take a look at Nate.

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Speaker 2: Silver's popular vote analysis for yourself if you're interested. But

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Speaker 2: none of those are comfortable enough territory for Kamala Harris.

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Speaker 2: And when we start to break down where the change

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Speaker 2: and all of that is coming from and some of

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Speaker 2: the movement on the economy, that's probably the most important.

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Speaker 2: Steve Kornaki at NBC News breaking this down. Let's take

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Speaker 2: a listen.

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Speaker 5: She's the VP in an unpopular administration. Look, we ask

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Speaker 5: Joe Biden's policies as president, do you think they're helping

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Speaker 5: or hurting your family? Look at that almost two to

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Speaker 5: one say hurting more than helping. His job approval rating

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Speaker 5: is in the low forties. And then Here's the twist.

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Speaker 5: When you ask folks when Trump was president or his

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Speaker 5: policies helping or look at that difference, Forty four percent

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Speaker 5: say helping, thirty one percent say they hurt.

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Speaker 3: So there you go.

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Speaker 2: Points on the economy, A lot of the are hurting

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Speaker 2: my family. What people think about whether Trump administration policy

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Speaker 2: help their family up by a thirteen point margin.

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Speaker 3: Trump really is.

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Speaker 2: He is in such a unique political position where he

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Speaker 2: was the president, people could see him in that job.

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Speaker 3: He wasn't that president. He was president not that long ago.

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Speaker 2: And so you have the direct contrast, and you have

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Speaker 2: not the incumbent like we had with Biden, but you

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Speaker 2: have that relative incumbency with the vice president. And that

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Speaker 2: is why I just go back to that moment from

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Speaker 2: the view crystal where she said nothing in particular that

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Speaker 2: I can think of except all sorry, I would have

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Speaker 2: Liz Cheney or whatever, and I was just I was like,

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Speaker 2: what an insane answer.

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Speaker 3: And all of the data is bearing that out.

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Speaker 2: So if Kamala loses a lot of it will come

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Speaker 2: down to not only the economy, but the inability to

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Speaker 2: truly distinguish herself from Joe Biden, the presidency, the administration,

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Speaker 2: and to draw contrast with Donald Trump.

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Speaker 1: I've been a little little hesitant to on this because

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Speaker 1: it matches my own political ideologies and beliefs a little

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Speaker 1: bit too.

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Speaker 4: Closely, right of like, oh.

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Speaker 1: Guess what, you stopped talking about price gouging and started

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Speaker 1: talking about Liz and Dick Cheney and your polls are

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Speaker 1: moving in the wrong direction.

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Speaker 4: Gee, who could have predicted?

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Speaker 1: You know, at the beginning of when she comes in,

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Speaker 1: there were a few very clear things she needed to accomplish.

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Speaker 1: Number One, she needed to separate herself from Joe Biden.

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Speaker 1: I mean this has been beyond obvious from day one,

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Speaker 1: because he is very unpopular and people are very unhappy

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Speaker 1: with how the economy was under him, predominantly because of inflation.

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Speaker 4: So she needed to figure out a way to.

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Speaker 1: Separate from him on the economy specifically, but also in

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Speaker 1: another area where it's very unpopular, and it was where

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Speaker 1: it's a big problem with the progressive base, on Israel

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Speaker 1: and Palestine. She has been totally able, even at this

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Speaker 1: point to figure out how to message on that, how

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Speaker 1: to actually create some distance, not just rhetorical distance, but

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Speaker 1: actually create some distance, and people were open to her

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Speaker 1: being different, you know, We've seen polls in the past

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Speaker 1: that said, oh, people actually think she's the change candidate,

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Speaker 1: because you know, it's kind of a vibe thing. She

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Speaker 1: looks and feels different. She's you know, identity wise, she's different, stylistically,

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Speaker 1: she's different, she's from a different part of the country, whatever.

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Speaker 1: She's much much younger, obviously than either of those two

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Speaker 1: these two men. But since she was unable to back

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Speaker 1: up that vibe of change with any substance, here we

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Speaker 1: are right.

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Speaker 4: Then you roll out some pretty.

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Speaker 1: Good policies that are really popular, things like that the

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Speaker 1: price gouging thing I talked about, you know, the housing policy,

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Speaker 1: and they still come up. So I'm not going to

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Speaker 1: say she didn't talk about them whatsoever. But the thing

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Speaker 1: they've chosen to lean into the hardest is I'm going

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Speaker 1: to have Republicans in my cabinet. Here I am, yes, here,

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Speaker 1: I am campaigning with Liz Chaney. Where's the campaign with

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Speaker 1: Bernie Sanders, who was profoundly more popular, especially among working

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Speaker 1: class voters, than Liz Cheney is.

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Speaker 4: So they decided to go in that direction.

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Speaker 1: I think their theory was that the problem for Kamala

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Speaker 1: is that people see her as too liberal when really

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Speaker 1: the biggest problem for Kamala is that people see her

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Speaker 1: as having zero ideological commitments or core and by doing

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Speaker 1: this whole like pivot to Liz Cheney thing, she's only

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Speaker 1: underscored and exacerbated those problems. Now, I do want to

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Speaker 1: say that there's a lot of assumptions that the polls

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Speaker 1: are going to understate Trump again because they understated him

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Speaker 1: in twenty sixteen, and they understated him in twenty twenty.

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Speaker 1: That is certainly possible, but it's not definitive. Twenty twenty two,

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Speaker 1: they understated Democratic support. And we're going to talk about

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Speaker 1: this in a little bit, And we've mentioned on the

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Speaker 1: show before many of these pollsters have changed their methodology

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Speaker 1: to try to guarantee. They're very risk averse to try

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Speaker 1: to guarantee they won't understate Trump support this time. So

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Speaker 1: they are using a different method than they did back

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Speaker 1: in twenty twenty when you actually had the largest miss.

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Speaker 4: So there's no guarantees.

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Speaker 1: About which way the polls, you know, under state or

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Speaker 1: overstate the support. But what you can say for sure

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Speaker 1: about these polls, since we had them up on the screen,

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Speaker 1: three national polls, all three you know credible pollsters that

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Speaker 1: in each instance the polls have moved away from Kamala Harris.

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Speaker 1: And so if you see a you know, a significant

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Speaker 1: shift that is consistent across pollsters, where you know, within

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Speaker 1: that same pole using that same methodology, it is shifted,

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Speaker 1: you have to feel that that is representing something real.

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Speaker 1: The last thing, the last point I'll make before we

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Speaker 1: dig into some more of the numbers here is some

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Speaker 1: of these polls have for like a.

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Speaker 4: Two point margin.

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Speaker 1: There is some indication that Democrats are closing the gap

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Speaker 1: in terms of the disparity between the popular vote and

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Speaker 1: the electoral college vote, predominantly because Trump is winning more

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Speaker 1: people in Florida, which is definitely going to be a

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Speaker 1: red state, in New York, which is definitely going to

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Speaker 1: be a blue state, in California, which is definitely going

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Speaker 1: to be a blue state. So when you win more

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Speaker 1: voters in those states that are not swing state, it

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Speaker 1: does not really matter in terms that it's stupid, but

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Speaker 1: it doesn't really matter in terms of you becoming president of.

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Speaker 4: The United States.

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Speaker 1: So it is possible that a two point popular vote

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Speaker 1: victory for Kamala Harris does amount to a narrow electoral

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Speaker 1: college win, but it's man it's right on the bubble

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Speaker 1: for her, assuming that these poles are accurate, which is.

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Speaker 3: A major assapsher exactly.

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Speaker 2: So look, everybody, I think the most important point that

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Speaker 2: you just made was about movement within them. So if

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Speaker 2: the assumptions were relatively the same and then you're moving away,

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Speaker 2: that's not the best thing for you. And especially like

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Speaker 2: you were just talking about with the popular vote, I

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Speaker 2: can go ahead and pull that up and just take

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Speaker 2: a look at it. So yeah, right now, Nate Silver

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Speaker 2: has her at a d victory with two point eight

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Speaker 2: percent of the popular vote. When things start to go

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Speaker 2: a little bit underneath that or in a tie territory,

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Speaker 2: that is when you get to that scenario. So it's

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Speaker 2: not as big as it used to be. Let's also

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Speaker 2: put a three please up on the screen because this

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Speaker 2: was a really important point read alert for the Harris campaign.

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Speaker 2: In the ABC poll out this morning, fifty nine percent

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Speaker 2: of US adults state that the economy is getting worse,

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Speaker 2: more than twice as many saying that it is getting better.

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Speaker 2: Let's go to the next one, because CBS News also

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Speaker 2: reflected this not only in the fifty one to forty

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Speaker 2: eight but really also in the battleground at fifty to

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Speaker 2: forty nine. Remember here that the margin of error is

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Speaker 2: some two point three points. This is also important because

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Speaker 2: this is actually a likely voter poll. It says Donald

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Speaker 2: Trump is one point closer to Kamala nationally than last month,

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Speaker 2: and the decisive battle grounds remain effectively even so even

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Speaker 2: just puts you an error away from losing, and just

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Speaker 2: generally one of the very difficult things about this election,

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Speaker 2: and this is actually in the sprint to election day,

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Speaker 2: there is not a single flagship, tent pole moment that

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Speaker 2: will happen in the next twenty two days that is

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Speaker 2: not controlled by the campaign, as in, there will be

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Speaker 2: no debate, there will be no you know, there will

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Speaker 2: be no major event that some sixty seventy million people

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Speaker 2: are going to watch like traditionally, actually right around now

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Speaker 2: in mid October is when that third debate usually happens

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Speaker 2: on foreign policy, and then you have the sprint there.

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Speaker 2: We're going to have some media style events, town halls,

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Speaker 2: et cetera, but none of those will ever have the

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Speaker 2: same reach. So actually, one of the reasons why Kamala

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Speaker 2: is uniquely vulnerable in my opinion, is that the global

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Speaker 2: system is very unstable right now with the Iran war situation,

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Speaker 2: and you know, being tied to that, being tied to

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Speaker 2: the status quo, and also just being tied to a

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Speaker 2: general feeling of chaos in the world. If that were

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Speaker 2: to really break through and take over the airwaves, that's

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Speaker 2: very dangerous.

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Speaker 3: She's also uniquely, you know, has a problem.

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Speaker 2: Let's say that there is major movement in the stock

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Speaker 2: market for reasons that have nothing to do with her

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Speaker 2: or even with the you know, with the national policy.

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Speaker 3: It doesn't matter.

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Speaker 2: People are really going to make up their minds on

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Speaker 2: election day. So you and I were talking in twenty sixteen,

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Speaker 2: a decent part of the elector, especially in Michigan, Pennsylvania

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Speaker 2: and Wisconsin broke. I think it was like fourteen percent

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Speaker 2: of people made up their minds just in the last

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Speaker 2: couple of days before the election. It's not going to

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Speaker 2: be that high. It was eight percent, and twenty twenty,

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Speaker 2: let's say it's five. I mean five is the Martin victory. Actually,

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Speaker 2: So for a lot of these peoples, you're really leaving

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Speaker 2: yourself up to unique macro conditions of which you have

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Speaker 2: no control whatsoever. And that is why, you know, this

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Speaker 2: is really an issue where she's not even really banking

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Speaker 2: on the economy anymore.

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Speaker 3: It's just all abortion all the time.

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Speaker 2: If you look at all of the swing state polls,

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Speaker 2: and I think it's I think she's she's in a

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Speaker 2: very vulnerable place.

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Speaker 3: I'm not saying she can't win.

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Speaker 2: She absolutely could, but if she does, I think it'll

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Speaker 2: be very very narrow, especially compared to the Joe Biden

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Speaker 2: victory or even Obama or you know, some of the

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Speaker 2: like twenty twelve and two thousand and eight previously. So

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Speaker 2: it's it really is tough. It's not I think the

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Speaker 2: landscape is definitely not good for her right now.

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Speaker 1: Here's what I would say is that, do I think

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Speaker 1: she would be doing better if she leaned into, you know,

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Speaker 1: the top concern of voters, which is economics, on which

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Speaker 1: she has popular policies. You know, I think you know,

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Speaker 1: we had a whole debate about Trump's teariff policy, but

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Speaker 1: her line about Trump's tax and really hammering home that

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Speaker 1: his policy will raise prices for consumers. You know, do

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Speaker 1: I think she would be doing better if she was

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Speaker 1: hammering that every single day?

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Speaker 4: Absolutely, no doubt.

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Speaker 1: But I also have to say it's possible the campaign

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Speaker 1: she's running will be enough, because it wasn't twenty twenty two,

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Speaker 1: and I didn't think it would be. You know, this

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Speaker 1: is effectively the campaign Democrats ran in twenty twenty two

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Speaker 1: where they thought, hey, we can get together this you know,

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Speaker 1: bipartisan anti Trump coalition and not really run on the

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Speaker 1: economy at all. I mean they did not talk about

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Speaker 1: the economy really at all in twenty twenty two, or

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Speaker 1: Biden in twenty twenty for that matter, he did not

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Speaker 1: run on specific policy proposals with regard to the economy

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Speaker 1: in the general election in twenty twenty. So in twenty

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Speaker 1: twenty two, you know, the playbook was a democracy abortion,

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Speaker 1: They're extreme, and it was enough. It was enough to

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Speaker 1: forestall a predicted red wave.

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Speaker 4: What the polls were all.

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Speaker 1: Showing at that point that economic numbers were far more

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Speaker 1: dire than they are right now. I mean that was

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Speaker 1: really at the peak of infleetion. You were just coming

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Speaker 1: off of all of the unhappiness over COVID lockdowns and

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Speaker 1: that whole fight. So the landscape in twenty twenty two

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Speaker 1: was actually a lot worse in a lot of ways

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Speaker 1: for Democrats than it is now. And the hey, abortion

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Speaker 1: plus extremism message was sufficient to buck historical trends to

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Speaker 1: you know, to win the Senate and to come very

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Speaker 1: close actually in the House. So I can't say confidently

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Speaker 1: that it won't work, that it won't be enough. It

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Speaker 1: might It may well be enough. You know, Democrats did well.

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Speaker 1: They lost in twenty sixteen, obviously, even though they you know,

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Speaker 1: it's worth pointing out, they did win the popular vote

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Speaker 1: there as well. But they did well in twenty eighteen,

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Speaker 1: they did well in twenty twenty, they did well in

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Speaker 1: twenty twenty two. So, you know, I think the the

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Speaker 1: certitude that many have right now that Kamala Harris is

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Speaker 1: one hundred percent got to lose. I just, you know,

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Speaker 1: I just would have some humility about the predictions at

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Speaker 1: this point because we've seen so many different iterations and

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Speaker 1: polls be off in so many varied ways over the

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Speaker 1: course of the past decade.

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Speaker 2: Very important, and you know, unlike, oh, I see so

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Speaker 2: much poll triumphle at vism out there. Yeah, I am

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Speaker 2: amazed by it. I'm like, how many of you were

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Speaker 2: saying red wave back in twenty twenty two and you

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Speaker 2: just look like an idiot after words, I mean, you

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Speaker 2: have to do some serious soul searching. You know, I've

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Speaker 2: been burned twenty sixteen, twenty sixteen, twenty twenty. In twenty

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Speaker 2: and twenty two, those are like the three biggest polling

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Speaker 2: errors I've seen just in my professional careers. Yeah, so,

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Speaker 2: I have no idea how you could do this for

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Speaker 2: a living and then tell people with a straight face

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Speaker 2: that you're going to have the exact same polling air

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Speaker 2: as you did in twenty sixteen twenty twenty.

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Speaker 3: Absolutely stupid.

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Speaker 2: You should unfollow anybody who is telling you that, let's

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Speaker 2: put this on the screen too, because this is actually

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Speaker 2: central too. Why I am so skeptical still and still

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Speaker 2: remain in the fifty to fifty camp, Whereas if I didn't,

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Speaker 2: I would just be like, Oh, I think Trump is

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Speaker 2: going to win. Nate Silver talks here about how quote

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Speaker 2: New York Times polls are betting on a political realignment.

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Speaker 2: What he talks about, specifically is that the twenty twenty

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Speaker 2: electorates substantively is very different than the twenty twenty two electorate,

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Speaker 2: which dramatically swung independence towards Democrats. Key features of the

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Speaker 2: twenty twenty two midterm race. Yes, I know it is different,

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Speaker 2: but it has some interesting things that we need to

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Speaker 2: carry over. Number One, mid terms had the same Republican

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Speaker 2: advantage in terms of voter voter identification. More people identified

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Speaker 2: as Republicans. However, didn't end up mattering why because independence

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Speaker 2: broke dramatically for the Democrats. Number two, you have the

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Speaker 2: same white and the same white college educated swing of

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Speaker 2: these highly engaged voters who came out hard for the Democrats,

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Speaker 2: donated a ton of money, had a ton of political

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Speaker 2: enthusiasm at the same time that you saw the inklings

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Speaker 2: of what happened in twenty twenty where you had Latino

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Speaker 2: and black men specifically shift towards the Republicans, but it

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Speaker 2: was not enough to put them over. So one of

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Speaker 2: the reasons why the New York Times polls are so

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Speaker 2: different than others is because they are not doing the

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Speaker 2: same thing that many others are doing, which is trying

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Speaker 2: to compose their polls as being exactly reflective of the

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Speaker 2: twenty twenty electorate. That's why you see a lot of

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Speaker 2: them in the way that they are and why the

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Speaker 2: New York Times is so different. For example, on Florida.

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Speaker 2: One of the reasons why I do kind of buy

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Speaker 2: their thesis is Trump only won Florida by three points.

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Speaker 2: What's he going to win it by this time? Minimum

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Speaker 2: in my opinion six to eight, right, it could win

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Speaker 2: it by fourteen. They have him up by plus thirteen.

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Speaker 2: So if anything, I would bet on a Republican wave there.

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Speaker 2: That is very important because that tells us that the

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Speaker 2: same voter characteristics of twenty twenty two are going to

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Speaker 2: try and carry over here.

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Speaker 3: And the country has changed so much.

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Speaker 2: I want everybody to try and to think about who

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Speaker 2: you were in the year twenty twenties.

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Speaker 3: Sounds crazy, but you know, I was going to watch

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Speaker 3: old old videos.

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Speaker 2: Myself is a different person, literally completely different, and even

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Speaker 2: the way I talk and I look everything. Everybody's like that,

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Speaker 2: especially in terms of your political evolution. Also in terms

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Speaker 2: of this selection. You know, Logan made us such a

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Speaker 2: great point most and the last time that we talked

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Speaker 2: to him and he was like, you know, in twenty

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Speaker 2: twenty is the last time is one of the only

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Speaker 2: elections only since like when wars were involved where the

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Speaker 2: government had a direct impact in everybody's lives, from state local,

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Speaker 2: from vaccines to the bailouts.

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Speaker 3: There's so much stuff that was going on.

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Speaker 2: Yeah, now we're kind of things are a little bit

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Speaker 2: different now, especially on the front in terms of people's expectations.

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Speaker 2: And also Roe versus Wade was the political earthquake that

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Speaker 2: changed things completely, needed to reshape the entire way that

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Speaker 2: a lot of entire generation really, especially if women, but

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Speaker 2: it's college educated men too, of the way they think

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Speaker 2: about politics. So when I put all that together, I

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Speaker 2: just can't bet on having the same electorate this last

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Speaker 2: time around. It doesn't make any sense to me. So

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Speaker 2: I am betting a little bit on this, you know, realignment,

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Speaker 2: and I think it. I think come election day, we're

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Speaker 2: going to see a major mistake by some polsters. Now

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Speaker 2: I'm not saying Kama will win, because the realignment can

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Speaker 2: go Trump way too. You've got him winning. We're about

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Speaker 2: to talk with Nina Turner. Black voters by seventy eight percent.

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Speaker 2: You know, in the past, if Democrats didn't win black

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Speaker 2: voters by what is it, I think more than fifteen.

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Speaker 3: They're going to lose the entire national election.

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Speaker 2: But they made up a lot of white voters, so

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Speaker 2: you could still definitely get your way there. But I

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Speaker 2: just want people to really caution and think about how

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Speaker 2: much things have changed in the last four years and

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Speaker 2: why you really shouldn't look to the previous one.

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Speaker 1: I'm fairly persuaded by the Nate con analysis too, because

439
00:19:56,600 --> 00:19:58,760
Speaker 1: it just makes more sense and it also helps to

440
00:19:58,800 --> 00:20:03,119
Speaker 1: explain the of the variation between polsters as well. But

441
00:20:03,240 --> 00:20:05,520
Speaker 1: like the New York Times pools so nationally, they found

442
00:20:05,520 --> 00:20:09,720
Speaker 1: it effectively tied Pennsylvania. They had common with the four

443
00:20:09,760 --> 00:20:13,360
Speaker 1: point lead, right, And you know, basically, Pennsylvania's the ball

444
00:20:13,440 --> 00:20:16,480
Speaker 1: game effectively, That's what both campaigns think if you look

445
00:20:16,520 --> 00:20:18,639
Speaker 1: at the likely tipping point state. I mean, just because

446
00:20:18,640 --> 00:20:20,960
Speaker 1: it is such a swing state, and because it is

447
00:20:21,000 --> 00:20:23,480
Speaker 1: so evenly divided, and because it has such a large

448
00:20:23,560 --> 00:20:27,359
Speaker 1: number of Electoral College votes ascribed to it, Pennsylvania is

449
00:20:27,359 --> 00:20:30,720
Speaker 1: effectively the ballgame. And what they're saying is that if

450
00:20:30,760 --> 00:20:34,800
Speaker 1: you guys remember in the twenty twenty two midterms, overall,

451
00:20:35,000 --> 00:20:38,320
Speaker 1: the red wave did not materialize, But there were a

452
00:20:38,320 --> 00:20:41,920
Speaker 1: few exceptions Florida and New York in particular, and there

453
00:20:41,920 --> 00:20:43,680
Speaker 1: may have been a few other states, but those were

454
00:20:43,720 --> 00:20:46,200
Speaker 1: the two main ones that really shifted.

455
00:20:46,480 --> 00:20:47,400
Speaker 4: The red wave was there?

456
00:20:47,480 --> 00:20:51,040
Speaker 1: I mean, what did Dessantas won by double digits in Florida?

457
00:20:51,080 --> 00:20:55,160
Speaker 1: All kinds of swing district Democrats were swept down in.

458
00:20:55,119 --> 00:20:56,000
Speaker 4: The state of New York.

459
00:20:56,040 --> 00:20:59,520
Speaker 1: In fact, if New York had performed for Democrats the

460
00:20:59,560 --> 00:21:01,800
Speaker 1: way there rest the country did, Democrats actually would have

461
00:21:01,800 --> 00:21:05,080
Speaker 1: gained control of the House. It's just because of the

462
00:21:05,160 --> 00:21:07,399
Speaker 1: rudwave actually showed up there. And there are a lot

463
00:21:07,440 --> 00:21:10,560
Speaker 1: of indications if you look at the congressional polling, the

464
00:21:10,600 --> 00:21:14,040
Speaker 1: congressional level polling, that you're shaping up to a similar

465
00:21:14,240 --> 00:21:17,320
Speaker 1: electoral phenomena where in New York. I think those you know,

466
00:21:17,440 --> 00:21:19,120
Speaker 1: swing district Democrats.

467
00:21:18,640 --> 00:21:19,840
Speaker 4: In New York are in trouble.

468
00:21:20,200 --> 00:21:22,880
Speaker 1: I think in Florida, Trump is going to do very

469
00:21:23,000 --> 00:21:27,399
Speaker 1: very well and exceed his past vote, But some of

470
00:21:27,440 --> 00:21:30,800
Speaker 1: the other states don't necessarily look as clearly in that direction.

471
00:21:30,800 --> 00:21:33,879
Speaker 1: You know, in in the same year when Ronda Santis

472
00:21:33,880 --> 00:21:38,520
Speaker 1: wins Florida by double digits, John Fetterman won Pennsylvania by

473
00:21:38,640 --> 00:21:41,720
Speaker 1: a very clear margin, and the governor of Pennsylvania, Shapiro,

474
00:21:42,080 --> 00:21:42,680
Speaker 1: he won.

475
00:21:42,560 --> 00:21:43,560
Speaker 4: By double digits.

476
00:21:43,920 --> 00:21:47,240
Speaker 1: So, you know, if you think about not only where

477
00:21:47,240 --> 00:21:50,199
Speaker 1: everybody is from a political ideology perspective, but if you

478
00:21:50,240 --> 00:21:52,920
Speaker 1: also just think literally of where people live now, there

479
00:21:53,000 --> 00:21:56,439
Speaker 1: was a huge migration during in post COVID that you know,

480
00:21:56,480 --> 00:21:59,360
Speaker 1: hadn't shown up yet in twenty twenty, so even that

481
00:21:59,440 --> 00:22:02,199
Speaker 1: makes things really different. The last thing I'll say is

482
00:22:02,800 --> 00:22:05,040
Speaker 1: matticg Lysias made this point. I think it's one that's

483
00:22:05,040 --> 00:22:07,080
Speaker 1: important to keep in mind in terms of the realities

484
00:22:07,080 --> 00:22:11,359
Speaker 1: of the American electorate. It is still an overwhelmingly white electorate.

485
00:22:11,760 --> 00:22:14,800
Speaker 1: So even if Republicans pick up you know, ten or

486
00:22:14,840 --> 00:22:18,840
Speaker 1: fifteen points among black voters, if Democrats improve two points

487
00:22:18,880 --> 00:22:21,800
Speaker 1: with white voters two points, then they still win.

488
00:22:22,320 --> 00:22:23,880
Speaker 4: So that's why you.

489
00:22:23,840 --> 00:22:26,880
Speaker 1: Should just have a lot of you know, a lot

490
00:22:26,920 --> 00:22:29,920
Speaker 1: of humility as you're looking at these results. It could

491
00:22:30,000 --> 00:22:32,679
Speaker 1: really go either way. Still, it is still very close.

492
00:22:32,720 --> 00:22:36,560
Speaker 1: I think it's a very closely divided country, and you know,

493
00:22:36,680 --> 00:22:39,960
Speaker 1: it's it's possible we get some new polling error that

494
00:22:40,000 --> 00:22:42,960
Speaker 1: had not been foreseen previously. And I do think it's

495
00:22:43,000 --> 00:22:46,320
Speaker 1: important to keep in mind that a lot of these polsters,

496
00:22:46,320 --> 00:22:49,280
Speaker 1: because they're so terrified, understandably like, of getting it so

497
00:22:49,440 --> 00:22:51,399
Speaker 1: wrong as they did in twenty twenty. Remember, there were

498
00:22:51,400 --> 00:22:53,760
Speaker 1: polls coming out of Wisconsin was like Vine's gonna win by.

499
00:22:53,640 --> 00:22:57,360
Speaker 2: Sixteen points or whatever, seventeen points in the state of Wisconsin, right.

500
00:22:57,280 --> 00:23:01,280
Speaker 1: So they're terrified of that happening again. So effectively, what

501
00:23:01,320 --> 00:23:04,760
Speaker 1: they've done is to cluge away that ties their polls

502
00:23:04,920 --> 00:23:07,280
Speaker 1: very closely to what the result was in twenty twenty,

503
00:23:07,520 --> 00:23:10,000
Speaker 1: so they won't get burned to the extent that they

504
00:23:10,000 --> 00:23:13,760
Speaker 1: did last time. I think that does probably minimize the error,

505
00:23:13,800 --> 00:23:15,119
Speaker 1: but that doesn't mean that they're getting it.

506
00:23:15,160 --> 00:23:16,159
Speaker 3: Right here, right, are exactly right?

507
00:23:16,200 --> 00:23:18,720
Speaker 2: Could underestimate Democrats as a lot of them did back

508
00:23:18,760 --> 00:23:20,240
Speaker 2: in twenty twenty twenty.

509
00:23:19,960 --> 00:23:20,760
Speaker 3: Two, so we'll see.

510
00:23:20,880 --> 00:23:25,080
Speaker 2: It's a fund mental gain'd be interesting. It's also I mean,

511
00:23:25,119 --> 00:23:26,960
Speaker 2: what I love about it is I just love the

512
00:23:27,040 --> 00:23:29,760
Speaker 2: fact that America is still such a dynamic country. People

513
00:23:29,760 --> 00:23:32,760
Speaker 2: can vote different four years ago, eight years ago, two

514
00:23:32,880 --> 00:23:36,720
Speaker 2: years ago. It validates you know, everyone is always like, oh,

515
00:23:36,800 --> 00:23:39,480
Speaker 2: nothing matters, everybody just votes exactly the same.

516
00:23:39,520 --> 00:23:40,240
Speaker 3: It's just not true.

517
00:23:40,280 --> 00:23:42,160
Speaker 2: You know, we're actually seeing a rise of more split

518
00:23:42,160 --> 00:23:43,800
Speaker 2: ticket voters than ever before, which I think is a

519
00:23:43,800 --> 00:23:46,119
Speaker 2: great thing, actually very healthy for the country. There are

520
00:23:46,119 --> 00:23:51,159
Speaker 2: a ton of Mastriano Oz voters, sorry of Oz Shapiro

521
00:23:51,240 --> 00:23:53,000
Speaker 2: voters who are out there. There are a lot of

522
00:23:53,000 --> 00:23:55,320
Speaker 2: people out there who will vote for Donald J. Trump

523
00:23:55,359 --> 00:23:58,320
Speaker 2: for president and will vote for Reuben Diego for senator.

524
00:23:58,359 --> 00:23:59,840
Speaker 3: There are a lot of people who.

525
00:23:59,800 --> 00:24:03,840
Speaker 2: Will vote for Bob Casey and for Donald Trump in

526
00:24:03,880 --> 00:24:07,440
Speaker 2: the state of Pennsylvania. And I honestly I think that's good.

527
00:24:07,520 --> 00:24:09,359
Speaker 2: I think it's a good thing no matter which way

528
00:24:09,520 --> 00:24:11,840
Speaker 2: you know, these things all go, because that tells you

529
00:24:11,840 --> 00:24:13,240
Speaker 2: you can't just take these people for granted.

530
00:24:13,400 --> 00:24:14,840
Speaker 3: All these like vote are people.

531
00:24:15,119 --> 00:24:17,280
Speaker 2: That was kind of the rule of politics from twenty

532
00:24:17,359 --> 00:24:19,720
Speaker 2: ten onwards. We're really seeing the new rise of a

533
00:24:20,359 --> 00:24:23,119
Speaker 2: lot of split ticket voters. Makes it much harder to predict.

534
00:24:23,119 --> 00:24:25,359
Speaker 2: But in general, you know, people have to vote. People

535
00:24:25,440 --> 00:24:27,199
Speaker 2: have to actually fight a little bit harder for your

536
00:24:27,280 --> 00:24:29,760
Speaker 2: vote rather than assume, oh, these yogls are just going

537
00:24:29,800 --> 00:24:30,199
Speaker 2: to come out and.

538
00:24:30,200 --> 00:24:30,960
Speaker 3: Pull the lever for me.

539
00:24:31,119 --> 00:24:33,560
Speaker 1: We're about to talk to Nina Turner may more about

540
00:24:34,200 --> 00:24:36,399
Speaker 1: race and politics and what Obama had to say to

541
00:24:36,440 --> 00:24:39,080
Speaker 1: black men in particular. But I also think it's very

542
00:24:39,119 --> 00:24:43,560
Speaker 1: clear that like the Democratic assumption that black people could

543
00:24:43,600 --> 00:24:45,800
Speaker 1: just be pan or two based on you know, their

544
00:24:45,920 --> 00:24:48,800
Speaker 1: race and based on a civil rights Act that passed,

545
00:24:48,840 --> 00:24:51,240
Speaker 1: you know, before either of us were born, right, parent,

546
00:24:51,320 --> 00:24:52,560
Speaker 1: I'm not going to try to do the map in

547
00:24:52,560 --> 00:24:54,040
Speaker 1: my head, because that'll just be embarrassing.

548
00:24:54,080 --> 00:24:56,760
Speaker 4: But you know that just playing.

549
00:24:56,440 --> 00:24:59,359
Speaker 1: To their racial identity would be sufficient, or that just

550
00:24:59,359 --> 00:25:02,680
Speaker 1: playing to the racial identity of Latinos would be sufficient,

551
00:25:03,000 --> 00:25:05,679
Speaker 1: and they were wrong about that. And you know, frankly,

552
00:25:05,720 --> 00:25:07,760
Speaker 1: this is something we've been talking about for a long time.

553
00:25:07,760 --> 00:25:09,560
Speaker 4: It's like, you know, talk to talk.

554
00:25:09,400 --> 00:25:12,160
Speaker 1: About black voters or the black community or the Latino

555
00:25:12,200 --> 00:25:17,360
Speaker 1: community really erases that these are just human beings, individuals

556
00:25:17,359 --> 00:25:20,359
Speaker 1: with a variety of concerns that aren't really different from

557
00:25:20,400 --> 00:25:23,160
Speaker 1: whatever my concerns are. Your concerns are, your concerns are,

558
00:25:23,520 --> 00:25:27,199
Speaker 1: and so part of what we're seeing with this racial

559
00:25:27,240 --> 00:25:31,280
Speaker 1: de alignment is really a rejection of that very surface level,

560
00:25:31,680 --> 00:25:36,359
Speaker 1: very hollow, pandering style of identity politics. And you know,

561
00:25:36,480 --> 00:25:38,760
Speaker 1: we'll see if Democrats ever learned that lesson.

562
00:25:38,800 --> 00:25:39,760
Speaker 3: All right, let's bring her in.

563
00:25:42,560 --> 00:25:44,640
Speaker 1: Very lucky to be joined this morning by the honorable

564
00:25:44,720 --> 00:25:47,679
Speaker 1: Nina Turner, former campaign co chair for Bernie Sanders and

565
00:25:47,800 --> 00:25:49,680
Speaker 1: founder of We Are Somebody.

566
00:25:49,720 --> 00:25:52,240
Speaker 4: Great to see my friends, Good to you, good.

567
00:25:52,080 --> 00:25:54,360
Speaker 6: To be here both of you. And I'm a low

568
00:25:54,480 --> 00:25:56,840
Speaker 6: horse today, so apologies.

569
00:25:57,000 --> 00:25:59,480
Speaker 1: Well, your insights are what we always look for, and

570
00:25:59,520 --> 00:26:01,960
Speaker 1: those will be sparkling as usual, I have no doubt.

571
00:26:02,960 --> 00:26:06,119
Speaker 1: So Barack Obama hit the trail for Kamala Harris, and

572
00:26:06,320 --> 00:26:10,360
Speaker 1: as part of that, he had a very direct message

573
00:26:10,680 --> 00:26:14,680
Speaker 1: for black men voters in particular, Let's take a listen

574
00:26:14,760 --> 00:26:16,200
Speaker 1: to a little bit of what you had to say.

575
00:26:16,600 --> 00:26:17,240
Speaker 6: We had not.

576
00:26:17,400 --> 00:26:21,960
Speaker 7: Yet seen the same kinds of energy and.

577
00:26:22,080 --> 00:26:25,879
Speaker 6: Turnout in all quarts of.

578
00:26:25,720 --> 00:26:28,920
Speaker 8: Our neighborhoods and to get usus so I was right.

579
00:26:31,840 --> 00:26:35,760
Speaker 7: Now, I also want.

580
00:26:35,640 --> 00:26:39,560
Speaker 8: To say that that seems to be more pronounced with

581
00:26:39,680 --> 00:26:43,680
Speaker 8: the brothers. So if you don't mind, just for a second,

582
00:26:43,720 --> 00:26:47,400
Speaker 8: I'm going to speak to yellow red. Part of it

583
00:26:47,440 --> 00:26:51,000
Speaker 8: makes me think that, well, you just aren't feeling the

584
00:26:51,080 --> 00:26:54,800
Speaker 8: idea of having a woman as president, and you're coming

585
00:26:54,880 --> 00:26:56,680
Speaker 8: up with other alternatives.

586
00:26:56,080 --> 00:26:57,159
Speaker 9: And other reasons for it.

587
00:26:58,000 --> 00:27:00,040
Speaker 8: So now your.

588
00:27:00,119 --> 00:27:08,920
Speaker 7: Thinking about sitting out or even supporting somebody who has

589
00:27:08,960 --> 00:27:17,320
Speaker 7: a history of detigrating you because you think that's a

590
00:27:17,400 --> 00:27:24,400
Speaker 7: side of strength, because that's what being a mandas for women.

591
00:27:24,480 --> 00:27:28,400
Speaker 7: Now that's not exciting.

592
00:27:28,680 --> 00:27:31,160
Speaker 1: So a senator, what did you make of this commentary

593
00:27:31,160 --> 00:27:32,080
Speaker 1: from the former president?

594
00:27:32,880 --> 00:27:35,560
Speaker 9: I mean, CHRISTI it makes my skin crawl every time

595
00:27:35,640 --> 00:27:36,199
Speaker 9: I hear it.

596
00:27:36,240 --> 00:27:37,000
Speaker 6: The president was.

597
00:27:37,000 --> 00:27:39,879
Speaker 9: Out of line, and I am saying this is someone

598
00:27:39,960 --> 00:27:43,119
Speaker 9: that was a delegate for President Barack Obama in the

599
00:27:43,119 --> 00:27:45,840
Speaker 9: great state of Ohio twice two thousand and eight and

600
00:27:45,880 --> 00:27:49,280
Speaker 9: also on twenty twelve, who supported this president even though

601
00:27:49,400 --> 00:27:52,159
Speaker 9: after his eight years, I am very disappointed when I

602
00:27:52,160 --> 00:27:54,520
Speaker 9: look at him from a critical eye in terms of

603
00:27:54,560 --> 00:27:57,200
Speaker 9: what happened and did not happen for the black community.

604
00:27:57,520 --> 00:28:00,040
Speaker 6: But for the president, for President.

605
00:27:59,640 --> 00:28:03,919
Speaker 9: Obama to admonish to publicly shame black men, it is

606
00:28:03,960 --> 00:28:08,320
Speaker 9: wrong because when we look at every single male demographic

607
00:28:08,800 --> 00:28:12,679
Speaker 9: in this country, when it comes to giving a woman

608
00:28:13,119 --> 00:28:16,720
Speaker 9: an opportunity to be president, black men are number one

609
00:28:16,760 --> 00:28:20,720
Speaker 9: in that. In twenty sixteen, Secretary Hillary Clinton enjoyed over

610
00:28:20,840 --> 00:28:26,280
Speaker 9: eighty percent of the black man's vote, over eighty percent.

611
00:28:26,440 --> 00:28:29,320
Speaker 9: You know how many votes you got from white men,

612
00:28:29,920 --> 00:28:33,840
Speaker 9: thirty two percent. So if President Obama wants to lecture

613
00:28:34,000 --> 00:28:38,160
Speaker 9: men in general about the fact that they're all socialized

614
00:28:38,160 --> 00:28:41,680
Speaker 9: in a sexist society, then he can do that, but

615
00:28:41,800 --> 00:28:44,240
Speaker 9: to single out black men to do like a public

616
00:28:44,360 --> 00:28:48,280
Speaker 9: shaming of black men, and then to say as if

617
00:28:48,280 --> 00:28:50,680
Speaker 9: they don't they have a choice, they can make a

618
00:28:50,760 --> 00:28:53,480
Speaker 9: choice like black men have agency, like any other voter.

619
00:28:53,840 --> 00:28:55,640
Speaker 6: But to me, he made it seem like they.

620
00:28:55,440 --> 00:28:58,360
Speaker 9: Have to like they have an obligation to vote for

621
00:28:58,480 --> 00:29:01,640
Speaker 9: Vice President Harris, and that is wrong. They have an

622
00:29:01,640 --> 00:29:04,800
Speaker 9: obligation to vote their consciousness, and if they want to

623
00:29:04,840 --> 00:29:07,040
Speaker 9: vote the other way, even though some of us may

624
00:29:07,080 --> 00:29:08,240
Speaker 9: not like, it is their right to do.

625
00:29:08,440 --> 00:29:10,680
Speaker 6: Like anybody else, he wouldn't dare.

626
00:29:10,560 --> 00:29:14,320
Speaker 9: Try to shame white men Asian men air No other

627
00:29:14,480 --> 00:29:17,080
Speaker 9: man would he come and step two like that. And

628
00:29:17,200 --> 00:29:20,080
Speaker 9: I just want to I remember when Reverend Jesse Jackson,

629
00:29:20,360 --> 00:29:22,440
Speaker 9: he made this statement, you know, a while ago, but

630
00:29:22,480 --> 00:29:25,920
Speaker 9: he said President Obama talks down to black people.

631
00:29:26,280 --> 00:29:28,400
Speaker 6: And President Obama proved that point.

632
00:29:28,760 --> 00:29:30,720
Speaker 9: The numbers don't add up, and for him to come

633
00:29:30,720 --> 00:29:32,960
Speaker 9: at black men like that, it just didn't makes it.

634
00:29:33,200 --> 00:29:36,640
Speaker 9: And last point on this, it's really the antithesis of

635
00:29:36,640 --> 00:29:39,320
Speaker 9: what Vice President Harris said. Because she was recently interviewed

636
00:29:39,480 --> 00:29:41,920
Speaker 9: by the Black Journalists Association and they asked her a

637
00:29:41,960 --> 00:29:44,960
Speaker 9: question and she, you know, just to sum up paraphrase,

638
00:29:45,200 --> 00:29:47,760
Speaker 9: she said, I shouldn't assume that black men are going

639
00:29:47,800 --> 00:29:49,920
Speaker 9: to vote for me. I have to earn their vote.

640
00:29:49,960 --> 00:29:52,240
Speaker 9: And I'm paraphrasing her, but that was the right thing

641
00:29:52,320 --> 00:29:54,600
Speaker 9: to say, and President Obama just came in and stepped

642
00:29:54,640 --> 00:29:57,200
Speaker 9: all on top of that. And I've talked to black men.

643
00:29:57,280 --> 00:30:00,000
Speaker 9: Black men have walked up to me. I'm getting dimned

644
00:30:00,280 --> 00:30:00,840
Speaker 9: all over.

645
00:30:00,920 --> 00:30:01,120
Speaker 2: You know.

646
00:30:01,360 --> 00:30:03,840
Speaker 9: Even this morning, when I was at the gym, a

647
00:30:03,880 --> 00:30:05,920
Speaker 9: young black man walked up to me to say, thank you,

648
00:30:05,960 --> 00:30:08,680
Speaker 9: Senator Turner for standing up for us. The President has

649
00:30:08,720 --> 00:30:11,080
Speaker 9: no idea how he is hurting black men because when

650
00:30:11,080 --> 00:30:14,479
Speaker 9: he speaks, people listen. In some circles he's a deity,

651
00:30:14,520 --> 00:30:16,080
Speaker 9: which I want. I'm here to tell people he's not.

652
00:30:16,560 --> 00:30:19,600
Speaker 9: He's fallible, but you know, he has an extra burden

653
00:30:19,840 --> 00:30:22,680
Speaker 9: that some other people do not have. And this shaming

654
00:30:22,760 --> 00:30:24,960
Speaker 9: of black men then allows other people who do not

655
00:30:25,080 --> 00:30:28,760
Speaker 9: have good instincts or good will towards the black community

656
00:30:28,800 --> 00:30:30,960
Speaker 9: at large, to think that they can walk all over

657
00:30:31,000 --> 00:30:31,680
Speaker 9: black men too.

658
00:30:31,720 --> 00:30:33,000
Speaker 6: Black men don't deserve this.

659
00:30:33,120 --> 00:30:34,600
Speaker 2: I'm glad you're saying that, and I think it's really

660
00:30:34,600 --> 00:30:36,640
Speaker 2: important to just treat black man or any man or

661
00:30:36,720 --> 00:30:37,800
Speaker 2: whatever like anybody else.

662
00:30:37,840 --> 00:30:39,000
Speaker 3: Let's put this up on the screen.

663
00:30:39,120 --> 00:30:41,320
Speaker 2: You know, from the New York Times, something that really

664
00:30:41,360 --> 00:30:44,600
Speaker 2: struck out to me was quote, just sixty three percent

665
00:30:44,680 --> 00:30:47,560
Speaker 2: of black voters and forty six percent of Hispanic voters

666
00:30:47,800 --> 00:30:51,160
Speaker 2: said that quote keeps its promises is describes a Democratic

667
00:30:51,200 --> 00:30:54,080
Speaker 2: Party better than the Republicans. And then similarly, if you

668
00:30:54,120 --> 00:30:57,080
Speaker 2: look at the economic outlook, only twenty six percent of

669
00:30:57,080 --> 00:30:59,920
Speaker 2: Black voters say that the current economic conditions are good

670
00:31:00,120 --> 00:31:02,160
Speaker 2: or excellent. So if you put those two things together

671
00:31:02,520 --> 00:31:05,200
Speaker 2: and people are let's say, drifting in the direction of

672
00:31:05,320 --> 00:31:08,120
Speaker 2: Donald Trump, it just makes them like anybody else who

673
00:31:08,280 --> 00:31:09,600
Speaker 2: is disillusioned with.

674
00:31:09,560 --> 00:31:11,000
Speaker 3: The overall Democratic Party.

675
00:31:11,080 --> 00:31:14,240
Speaker 2: So I want your reaction kind of to that specifically

676
00:31:14,280 --> 00:31:18,480
Speaker 2: and about the outlook, especially on the moving away from

677
00:31:18,520 --> 00:31:21,320
Speaker 2: the keeps its promises. When over half of these Black

678
00:31:21,400 --> 00:31:24,880
Speaker 2: voters are saying the Democratic Party does not keep its promises, well,

679
00:31:24,880 --> 00:31:28,680
Speaker 2: then shaming them makes it arguably even more disgusting to

680
00:31:28,760 --> 00:31:29,280
Speaker 2: lecture them.

681
00:31:30,840 --> 00:31:32,560
Speaker 6: Absolutely, you hitting the nail on the head.

682
00:31:32,600 --> 00:31:35,800
Speaker 9: I just left the interview with Santitita Jackson, Reverend Jackson's daughter,

683
00:31:35,800 --> 00:31:38,160
Speaker 9: as a matter of fact, where one of the panelists

684
00:31:38,200 --> 00:31:40,560
Speaker 9: said that some of the backlash is because the black

685
00:31:40,560 --> 00:31:43,160
Speaker 9: community does not feel like President Obama delivered.

686
00:31:43,720 --> 00:31:45,960
Speaker 6: You know, but the stats that.

687
00:31:45,840 --> 00:31:50,800
Speaker 9: You put up really identifies that voters from all demographics

688
00:31:51,320 --> 00:31:53,800
Speaker 9: feel a certain type of way in this moment. It

689
00:31:53,840 --> 00:31:56,040
Speaker 9: is not a vibe and it's not joy. I mean,

690
00:31:56,080 --> 00:31:59,240
Speaker 9: you can't just simply say the word joy when over

691
00:31:59,480 --> 00:32:03,240
Speaker 9: sixty percent of workers in this country say that they're

692
00:32:03,400 --> 00:32:05,000
Speaker 9: living paycheck to paycheck.

693
00:32:05,120 --> 00:32:06,080
Speaker 6: You just can't say.

694
00:32:05,880 --> 00:32:09,000
Speaker 9: The word joy when the minimum wage has not been

695
00:32:09,040 --> 00:32:12,720
Speaker 9: increased for well over a decade, when inflation is eating

696
00:32:12,800 --> 00:32:15,360
Speaker 9: up any little games that people have had, and when

697
00:32:15,360 --> 00:32:18,280
Speaker 9: people have to work, you know, two and three jobs

698
00:32:18,320 --> 00:32:20,240
Speaker 9: just to make ends meet. When I was growing up,

699
00:32:20,280 --> 00:32:22,920
Speaker 9: an extra job was really an extra job. Now an

700
00:32:22,960 --> 00:32:26,320
Speaker 9: extra job is a necessity. So Saga, your point is

701
00:32:26,360 --> 00:32:29,160
Speaker 9: that black voters, and if we single out black men,

702
00:32:29,600 --> 00:32:33,720
Speaker 9: are really feeling the same pressures that any other voter

703
00:32:33,920 --> 00:32:38,720
Speaker 9: is feeling. And as we criticize Republicans for calling Vice

704
00:32:38,720 --> 00:32:42,000
Speaker 9: President Harris, you know, a dei, which is wrong, she

705
00:32:42,200 --> 00:32:45,880
Speaker 9: is not. When President Obama talks to black men that

706
00:32:45,920 --> 00:32:51,640
Speaker 9: way and he emphasizes theenotype race and or ethnicity in

707
00:32:51,680 --> 00:32:55,240
Speaker 9: that way, you're making a scene like that, and it's

708
00:32:55,280 --> 00:32:56,240
Speaker 9: just he is wrong.

709
00:32:56,320 --> 00:32:59,680
Speaker 6: He's out of step. And you know what, people forget.

710
00:33:00,000 --> 00:33:04,000
Speaker 9: Donald Trump was all the rage for the hip hop community,

711
00:33:04,440 --> 00:33:06,840
Speaker 9: and he was all the rage for the political community too.

712
00:33:06,920 --> 00:33:09,240
Speaker 6: Let me let not let them off the hook. Because

713
00:33:09,280 --> 00:33:10,440
Speaker 6: former President Donald J.

714
00:33:10,520 --> 00:33:14,000
Speaker 9: Trump got all the receipts, the donations that he has made,

715
00:33:14,360 --> 00:33:15,560
Speaker 9: the pictures.

716
00:33:15,040 --> 00:33:16,000
Speaker 6: With these folks.

717
00:33:16,240 --> 00:33:20,320
Speaker 9: So how dare you, President Obama or anybody else try

718
00:33:20,320 --> 00:33:23,320
Speaker 9: to shame the black community and black men in particular.

719
00:33:23,440 --> 00:33:27,760
Speaker 9: And you know what I think, Crystal and Segar. If

720
00:33:28,240 --> 00:33:31,240
Speaker 9: Vice President Harris loses, they're setting it up for black

721
00:33:31,280 --> 00:33:32,720
Speaker 9: men to take the falls.

722
00:33:32,760 --> 00:33:34,520
Speaker 6: Right, Yeah, and it's wrong.

723
00:33:35,480 --> 00:33:37,880
Speaker 9: People want to know that you have a vision, to

724
00:33:37,920 --> 00:33:41,160
Speaker 9: provide provision and to lift them up. They're sick and

725
00:33:41,280 --> 00:33:44,760
Speaker 9: tired of hearing Donald Trump is the worst. If he

726
00:33:44,880 --> 00:33:47,000
Speaker 9: is the worst, and I do believe that Donald Trump

727
00:33:47,040 --> 00:33:49,480
Speaker 9: is a type of threat to democracy, but he's not

728
00:33:49,560 --> 00:33:53,120
Speaker 9: the only threat to democracy. There are many things that

729
00:33:53,200 --> 00:33:57,360
Speaker 9: threaten democracy, like not giving aid to the hurricane victims

730
00:33:57,400 --> 00:34:00,000
Speaker 9: while we send them billions of dollars overseas.

731
00:33:59,800 --> 00:34:01,880
Speaker 6: That is a threat to democracy.

732
00:34:02,240 --> 00:34:05,080
Speaker 9: Not having a full fledged primary and locking people out

733
00:34:05,440 --> 00:34:08,640
Speaker 9: that is a threat to democracy. There's all kinds of

734
00:34:08,680 --> 00:34:11,959
Speaker 9: threats to democracy. He's one, but he's not the only one.

735
00:34:12,040 --> 00:34:16,399
Speaker 9: And the Democrats are missing a perfect opportunity to show

736
00:34:16,480 --> 00:34:20,399
Speaker 9: themselves to be different than the Republican Party. That's why

737
00:34:20,480 --> 00:34:22,680
Speaker 9: that those data points are showing that way. People are

738
00:34:22,719 --> 00:34:25,320
Speaker 9: frustrated and they tired of being lied to and played

739
00:34:25,360 --> 00:34:28,799
Speaker 9: around with. This ain't a bide. This is people's This

740
00:34:28,840 --> 00:34:30,120
Speaker 9: is life and death for some people.

741
00:34:30,320 --> 00:34:31,839
Speaker 4: That's right, that's right.

742
00:34:32,040 --> 00:34:34,480
Speaker 6: I'm just I mean, you guys know how I feel.

743
00:34:34,680 --> 00:34:37,920
Speaker 9: I love people, and I want to see elected officials

744
00:34:38,000 --> 00:34:40,080
Speaker 9: do the right thing by the people of this country,

745
00:34:40,120 --> 00:34:41,200
Speaker 9: and it's just not happening.

746
00:34:41,480 --> 00:34:43,680
Speaker 6: And black people feel the same way. So you can't

747
00:34:43,680 --> 00:34:44,399
Speaker 6: shame you.

748
00:34:44,320 --> 00:34:46,279
Speaker 9: Know what, if you got to shame people, and I'm

749
00:34:46,280 --> 00:34:48,640
Speaker 9: saying this as a if you have to as somebody

750
00:34:48,680 --> 00:34:50,719
Speaker 9: who has served in an elected office, if you got

751
00:34:50,760 --> 00:34:53,840
Speaker 9: to shame folks to get their vote, you've already lost.

752
00:34:54,080 --> 00:34:54,800
Speaker 3: Yeah, I agree.

753
00:34:54,840 --> 00:34:56,759
Speaker 1: No, that's that's such a great point, you know, and

754
00:34:56,800 --> 00:34:59,680
Speaker 1: Saturn there, I was thinking this morning, and there was

755
00:34:59,760 --> 00:35:01,840
Speaker 1: a another piece in the Times about this. You know,

756
00:35:01,880 --> 00:35:07,400
Speaker 1: Democrats really had this very triumphulous view about how has

757
00:35:07,480 --> 00:35:10,839
Speaker 1: the nation got more diverse? They would just naturally pick

758
00:35:10,920 --> 00:35:14,560
Speaker 1: up voters, and you know, over time, as black and

759
00:35:14,600 --> 00:35:17,879
Speaker 1: brown communities grew in the country and younger generations were

760
00:35:17,880 --> 00:35:20,399
Speaker 1: more diverse, but effectively they could just sort of take

761
00:35:20,440 --> 00:35:23,440
Speaker 1: them for granted and they would just march into their coalition.

762
00:35:24,320 --> 00:35:27,840
Speaker 1: And they also really leaned into a politics that you

763
00:35:27,920 --> 00:35:30,759
Speaker 1: and I have both criticized at times, which is a

764
00:35:30,800 --> 00:35:38,680
Speaker 1: representation or identity only lens of progressivism that said, for example,

765
00:35:38,920 --> 00:35:42,280
Speaker 1: that by electing the first black president, that this would

766
00:35:42,440 --> 00:35:46,400
Speaker 1: automatically benefit the entirety of the black community. You know,

767
00:35:46,400 --> 00:35:48,759
Speaker 1: with Latino voters, it was similar like, if we just

768
00:35:48,800 --> 00:35:53,440
Speaker 1: focus on immigration alone and are more welcoming of immigrants,

769
00:35:53,719 --> 00:35:56,800
Speaker 1: then you know, because you're Latino, that must be the

770
00:35:56,880 --> 00:35:59,080
Speaker 1: key to your heart and you know the electoral paths

771
00:35:59,080 --> 00:36:01,759
Speaker 1: of victory, and the exact opposite has happened. I mean,

772
00:36:01,800 --> 00:36:04,400
Speaker 1: you have Donald Trump out here using rhetoric that I

773
00:36:04,400 --> 00:36:07,560
Speaker 1: don't think it's unfair to describe as Nazi, ask about

774
00:36:07,920 --> 00:36:12,240
Speaker 1: vermin and inciting a you know, campaign of hatriot against

775
00:36:12,280 --> 00:36:15,840
Speaker 1: Haitian immigrants in a town in your home state there

776
00:36:15,960 --> 00:36:18,320
Speaker 1: and doing all of these things, and yet at the

777
00:36:18,400 --> 00:36:21,160
Speaker 1: very same time he's actually gaining ground.

778
00:36:21,320 --> 00:36:22,480
Speaker 4: With these groups.

779
00:36:22,840 --> 00:36:25,720
Speaker 1: So you know, what do you how do you explain

780
00:36:25,840 --> 00:36:28,680
Speaker 1: and understand that trend and what would your message to

781
00:36:28,719 --> 00:36:32,600
Speaker 1: Democrats be about Rather than shaming these voters how they

782
00:36:32,600 --> 00:36:36,799
Speaker 1: could actually adjust and win people back in these communities.

783
00:36:37,600 --> 00:36:40,360
Speaker 9: That's it, Chris, So you said it, instead of shaming,

784
00:36:41,080 --> 00:36:46,760
Speaker 9: prevent a vision that provides provision for the people in Springfield, Ohio,

785
00:36:46,800 --> 00:36:49,600
Speaker 9: the Haitian community. You know that city has had to

786
00:36:49,640 --> 00:36:53,040
Speaker 9: spend extra money to protect people because of what Senator JD.

787
00:36:53,239 --> 00:36:55,160
Speaker 6: Vance and President Donald J.

788
00:36:55,320 --> 00:36:58,920
Speaker 9: Trump is propagating against the Haitian community. The level of

789
00:36:59,000 --> 00:37:02,400
Speaker 9: vitriolity he has against immigrants are putting people's lives in danger. So, yes,

790
00:37:02,520 --> 00:37:04,600
Speaker 9: President Trump is a type of threat, There's no doubt

791
00:37:04,640 --> 00:37:10,440
Speaker 9: about it. The Democratic Party, though, must stop focusing so

792
00:37:10,640 --> 00:37:14,239
Speaker 9: much on what Donald J. Trump is doing and what

793
00:37:14,280 --> 00:37:15,480
Speaker 9: they're going to do.

794
00:37:15,480 --> 00:37:15,920
Speaker 6: Donald J.

795
00:37:16,000 --> 00:37:19,960
Speaker 9: Trump is predictable. President Trump is predictable. People already know him.

796
00:37:20,040 --> 00:37:21,839
Speaker 9: They know what he's gonna say, they know what he's

797
00:37:21,920 --> 00:37:26,040
Speaker 9: going to do. So Democrats think that they think this

798
00:37:26,120 --> 00:37:28,080
Speaker 9: is twenty twenty again, because that's pretty much how they

799
00:37:28,080 --> 00:37:30,960
Speaker 9: won in twenty twenty. You know, the scare tactics against

800
00:37:31,200 --> 00:37:33,120
Speaker 9: President Trump, that's not gonna work. That dog is not

801
00:37:33,160 --> 00:37:35,160
Speaker 9: gonna hunt, as they say in Its South. That dog

802
00:37:35,239 --> 00:37:38,040
Speaker 9: is not going to hunt this time. It is not

803
00:37:38,200 --> 00:37:40,640
Speaker 9: just telling people about Project twenty twenty five, and what

804
00:37:40,680 --> 00:37:41,400
Speaker 9: a threat it is.

805
00:37:41,480 --> 00:37:41,799
Speaker 6: It is.

806
00:37:42,120 --> 00:37:45,640
Speaker 9: But Democrats, where's your project twenty twenty five? Progressive's already

807
00:37:45,680 --> 00:37:47,400
Speaker 9: laid out a plan for you to have a project

808
00:37:47,440 --> 00:37:48,120
Speaker 9: twenty twenty five.

809
00:37:48,200 --> 00:37:51,200
Speaker 6: It's called Medicare for All. We're sixty three percent of

810
00:37:51,280 --> 00:37:53,920
Speaker 6: voters in the swing states that Democrats are gonna need

811
00:37:53,920 --> 00:37:56,560
Speaker 6: to win believe we should have medicare for all.

812
00:37:56,960 --> 00:37:59,480
Speaker 9: The war is a problem over worm, A majority of

813
00:37:59,520 --> 00:38:03,520
Speaker 9: Democrats to believe that the weapons being given to Israel,

814
00:38:03,560 --> 00:38:06,160
Speaker 9: even in the face of genocide, is a problem. Yet

815
00:38:06,200 --> 00:38:10,200
Speaker 9: these people will not listen and answer to their own voters.

816
00:38:10,360 --> 00:38:15,040
Speaker 9: So Crystal, my message to the Democratic Party would be

817
00:38:16,160 --> 00:38:20,400
Speaker 9: focus on your message and your vision and why the

818
00:38:20,560 --> 00:38:25,400
Speaker 9: voters of this country Black Americans are otherwise should vote

819
00:38:25,480 --> 00:38:28,880
Speaker 9: for you. Why would you do things differently? Are you

820
00:38:29,080 --> 00:38:33,680
Speaker 9: going to not listen to the corporate just wing the class.

821
00:38:33,920 --> 00:38:35,439
Speaker 6: Are you gonna do something different.

822
00:38:35,680 --> 00:38:38,560
Speaker 9: Or are you gonna keep playing the same games over

823
00:38:38,640 --> 00:38:41,720
Speaker 9: and over again. People are tired of being lied to, Crystal.

824
00:38:41,760 --> 00:38:44,359
Speaker 9: That is the bottom line of people's eyes are opening up,

825
00:38:44,360 --> 00:38:47,280
Speaker 9: and it doesn't matter if they are color, it doesn't matter,

826
00:38:47,600 --> 00:38:51,360
Speaker 9: you know what, how they identify the voters are suffering

827
00:38:51,560 --> 00:38:55,959
Speaker 9: right now, and the failure of my party to recognize

828
00:38:55,960 --> 00:38:56,640
Speaker 9: the suffering.

829
00:38:56,680 --> 00:38:58,560
Speaker 6: They covering it up, and they trying to.

830
00:38:58,560 --> 00:39:01,880
Speaker 9: Ram down people's throats that everything is okay. But when

831
00:39:01,920 --> 00:39:04,080
Speaker 9: I came pay for my groceries, when I'm having a

832
00:39:04,080 --> 00:39:06,200
Speaker 9: hard time putting gas in the tank, when I'm only

833
00:39:06,239 --> 00:39:08,520
Speaker 9: getting seven hundred and fifty dollars for a hurricane that

834
00:39:08,560 --> 00:39:13,120
Speaker 9: blew down on me in North Carolina or Georgia or Florida,

835
00:39:13,400 --> 00:39:15,839
Speaker 9: when folks who have the power right now are taking

836
00:39:15,880 --> 00:39:16,319
Speaker 9: their time.

837
00:39:16,560 --> 00:39:19,400
Speaker 6: See the felon of the Democratic Party is this. Donald J.

838
00:39:19,520 --> 00:39:21,080
Speaker 6: Trump ain't in office right now.

839
00:39:21,719 --> 00:39:24,960
Speaker 9: Democrats are, and they had two years of control of

840
00:39:25,040 --> 00:39:29,560
Speaker 9: both chambers and the presidency and did nothing spectacular with

841
00:39:29,719 --> 00:39:31,319
Speaker 9: the power that they had.

842
00:39:31,600 --> 00:39:34,440
Speaker 6: People see that, and they know that, and they feel that.

843
00:39:34,920 --> 00:39:37,680
Speaker 9: But instead of my party being honest about it, they

844
00:39:37,719 --> 00:39:40,480
Speaker 9: want to try to shame people. So my message is,

845
00:39:40,680 --> 00:39:43,160
Speaker 9: stop listening to those people in the bubble and start

846
00:39:43,239 --> 00:39:44,720
Speaker 9: listening to the people in the streets.

847
00:39:44,840 --> 00:39:46,000
Speaker 6: We'd be much better off.

848
00:39:46,160 --> 00:39:47,359
Speaker 4: Yeah, no doubt about it.

849
00:39:47,640 --> 00:39:49,320
Speaker 1: I wanted to get you quickly to weigh in on

850
00:39:49,600 --> 00:39:52,200
Speaker 1: something else that's a very interesting development, which is that

851
00:39:53,120 --> 00:39:57,000
Speaker 1: Democrats have now cut an ad against doctor Jill Stein,

852
00:39:57,040 --> 00:40:00,200
Speaker 1: who of course is the Green Party nominee.

853
00:40:00,840 --> 00:40:03,160
Speaker 4: This is the first that they've really.

854
00:40:02,920 --> 00:40:05,640
Speaker 1: Paid any attention to her, and I think it's very

855
00:40:05,640 --> 00:40:08,160
Speaker 1: interesting and potentially very revealing. So let's take a look

856
00:40:08,160 --> 00:40:09,719
Speaker 1: at that ad and I'll get your thoughts on the

857
00:40:09,719 --> 00:40:10,400
Speaker 1: other side.

858
00:40:10,640 --> 00:40:15,239
Speaker 10: Jill Stein, Green Party candidate for president. So why are

859
00:40:15,239 --> 00:40:19,200
Speaker 10: Trump's close allies helping her? Stein was key to Trump's

860
00:40:19,200 --> 00:40:23,840
Speaker 10: twenty sixteen wins in battleground states. She's not sorry she

861
00:40:24,000 --> 00:40:28,680
Speaker 10: helped Trump win. That's why I vote for Stein. It's

862
00:40:28,719 --> 00:40:30,080
Speaker 10: really a vote for Trump.

863
00:40:30,480 --> 00:40:31,280
Speaker 6: For Jill Stein.

864
00:40:31,840 --> 00:40:32,799
Speaker 4: I like her very much.

865
00:40:32,840 --> 00:40:35,400
Speaker 6: You know why she takes one hundred percent from them.

866
00:40:36,880 --> 00:40:39,480
Speaker 4: I'm Kamala Harris and I approve this message.

867
00:40:39,719 --> 00:40:41,879
Speaker 1: So I don't know how much money is behind this ad,

868
00:40:41,920 --> 00:40:45,040
Speaker 1: So I don't know how widespread it is in circulation

869
00:40:45,239 --> 00:40:47,239
Speaker 1: or how much it's just an internet ad, But to me,

870
00:40:47,440 --> 00:40:50,920
Speaker 1: very noteworthy that they decided to cut this ad, and

871
00:40:50,960 --> 00:40:53,919
Speaker 1: I think potentially very revealing of some concern, especially maybe

872
00:40:53,920 --> 00:40:57,920
Speaker 1: in the state of Michigan, that people who are disgusted

873
00:40:57,960 --> 00:41:00,520
Speaker 1: with the Biden Harris enabling of a on the side

874
00:41:00,520 --> 00:41:04,560
Speaker 1: in Gaza are looking for a candidate who opposes that.

875
00:41:05,840 --> 00:41:08,800
Speaker 9: The Poland data shows it, Crystal doctor Stein is winning

876
00:41:08,840 --> 00:41:13,120
Speaker 9: in the Arab American community in Michigan. That ad makes

877
00:41:13,160 --> 00:41:15,799
Speaker 9: my skin crawl as well, because the people who want

878
00:41:15,800 --> 00:41:18,759
Speaker 9: to vote for doctor Jill Stein we assuming that if

879
00:41:18,800 --> 00:41:21,239
Speaker 9: doctor Stein was not on the ballot, that they would

880
00:41:21,239 --> 00:41:24,399
Speaker 9: be voting for Democrats, and that's a wrong assumption. They're

881
00:41:24,480 --> 00:41:27,320
Speaker 9: voting for doctor Jill Stein or the Green Party because

882
00:41:27,320 --> 00:41:30,800
Speaker 9: the Green Party puts up a different message, a different platform,

883
00:41:30,800 --> 00:41:33,240
Speaker 9: and a different vision for this country.

884
00:41:33,280 --> 00:41:35,440
Speaker 6: And yet it is very telling they must.

885
00:41:35,320 --> 00:41:39,319
Speaker 9: Be scared and to conflate her voter saying that she

886
00:41:39,560 --> 00:41:42,919
Speaker 9: is helping Donald J. Trump when nothing can be further

887
00:41:42,960 --> 00:41:45,120
Speaker 9: for the truth. Again, this is the United States of America.

888
00:41:45,200 --> 00:41:47,719
Speaker 9: So I thought I was. I also thought that people

889
00:41:47,800 --> 00:41:51,520
Speaker 9: have agency in their ability to vote. That's what I thought.

890
00:41:51,760 --> 00:41:53,919
Speaker 9: But the Democrats, by this ad and how they also

891
00:41:54,040 --> 00:41:56,879
Speaker 9: comported themselves in the primary by locking everybody out out

892
00:41:56,880 --> 00:42:00,960
Speaker 9: of the primary, is showing that they themselves don't believe

893
00:42:01,200 --> 00:42:06,359
Speaker 9: in small D democracy as they profess to. This is

894
00:42:06,440 --> 00:42:09,239
Speaker 9: wrong and it takes away the agency of voters and

895
00:42:09,280 --> 00:42:11,440
Speaker 9: it makes it seems like voters don't know what they

896
00:42:11,480 --> 00:42:14,000
Speaker 9: want and what they're doing. You poor little voters, We're

897
00:42:14,000 --> 00:42:16,600
Speaker 9: gonna tell you what to do and how to vote.

898
00:42:17,160 --> 00:42:21,000
Speaker 9: It's just it's wrong. It's menacing what the Democratic Party

899
00:42:21,040 --> 00:42:23,600
Speaker 9: is doing. And I'm really ashamed of my party would

900
00:42:23,640 --> 00:42:27,319
Speaker 9: stoop to this level to say that anybody that doctor

901
00:42:27,360 --> 00:42:29,359
Speaker 9: gill Stein and the Green Party is in any way

902
00:42:29,840 --> 00:42:32,200
Speaker 9: enabling a president Donald J.

903
00:42:32,280 --> 00:42:32,600
Speaker 6: Trump.

904
00:42:32,760 --> 00:42:35,200
Speaker 9: If they want to talk about donations, let's talk about

905
00:42:35,239 --> 00:42:36,279
Speaker 9: donations here.

906
00:42:36,480 --> 00:42:37,440
Speaker 6: When I ran for.

907
00:42:37,880 --> 00:42:42,960
Speaker 9: Congress, a lot of Republicans jumped into the special election

908
00:42:43,239 --> 00:42:48,759
Speaker 9: in Cleveland, Ohio, in a solidly Democratic district and donated

909
00:42:49,080 --> 00:42:53,480
Speaker 9: to my opponent. Okay, so don't don't don't bring it

910
00:42:53,560 --> 00:42:57,359
Speaker 9: here when they talk about APAC money, APAC funds both

911
00:42:57,440 --> 00:43:03,799
Speaker 9: Democrats and Republicans equal, So don't bring it here in

912
00:43:03,920 --> 00:43:06,480
Speaker 9: terms of talking about doctor Stein and doctor Ware and

913
00:43:06,480 --> 00:43:07,719
Speaker 9: the Green Party in this way.

914
00:43:08,280 --> 00:43:10,120
Speaker 6: I believe in democracy.

915
00:43:10,760 --> 00:43:13,399
Speaker 9: I am a Democrat, but I don't answer, I don't

916
00:43:13,480 --> 00:43:18,120
Speaker 9: worship this party. Democracy is more important to me, and

917
00:43:18,160 --> 00:43:20,880
Speaker 9: so them coming at doctor jill Stein shows and the

918
00:43:20,920 --> 00:43:23,759
Speaker 9: Green Party shows how weak they are right now. And

919
00:43:23,840 --> 00:43:26,359
Speaker 9: it is also the antithesis of what they say so

920
00:43:26,400 --> 00:43:30,480
Speaker 9: now they can't chastise the Republicans anymore about being a

921
00:43:30,520 --> 00:43:34,040
Speaker 9: threat to democracy, because what the Democratic Party is doing

922
00:43:34,080 --> 00:43:37,040
Speaker 9: right now is a threat to democracy. Voters want choice

923
00:43:37,200 --> 00:43:39,440
Speaker 9: in the United States of America. We should not just

924
00:43:39,520 --> 00:43:42,400
Speaker 9: have a duopoly in the United States of America. And

925
00:43:42,400 --> 00:43:45,400
Speaker 9: if they got better ideas, they certainly raising more money.

926
00:43:45,840 --> 00:43:48,040
Speaker 9: Why are you suing to get people like doctor West

927
00:43:48,120 --> 00:43:51,320
Speaker 9: off the ballot and suing to get people like doctor

928
00:43:51,360 --> 00:43:54,000
Speaker 9: Stein and doctor Ware from the Green Party off the ballot?

929
00:43:54,200 --> 00:43:56,719
Speaker 9: If my party is all that they certainly getting all

930
00:43:56,760 --> 00:43:59,920
Speaker 9: the money, they get all the airplay on mainstream media.

931
00:44:00,320 --> 00:44:01,320
Speaker 6: So what y'all scared of?

932
00:44:01,719 --> 00:44:02,440
Speaker 4: Yeah, that the.

933
00:44:02,400 --> 00:44:05,879
Speaker 9: American people will see different choices and then they will

934
00:44:05,920 --> 00:44:07,400
Speaker 9: make a different choice.

935
00:44:07,600 --> 00:44:09,839
Speaker 3: Couldn't agreement they we should compete straight up?

936
00:44:09,960 --> 00:44:12,120
Speaker 6: Yeah, you know, obviously they they don't feel that way.

937
00:44:12,200 --> 00:44:14,080
Speaker 1: The funny thing in doctor Stein pointed this out on

938
00:44:14,120 --> 00:44:17,040
Speaker 1: Twitter is that while they're accusing her of like being

939
00:44:17,040 --> 00:44:19,880
Speaker 1: supported by Republicans, Kamala hars is running around campaign with

940
00:44:19,920 --> 00:44:21,400
Speaker 1: Liz Chaney and Towny her support.

941
00:44:22,000 --> 00:44:22,439
Speaker 6: These are.

942
00:44:24,080 --> 00:44:28,879
Speaker 9: That example, honor to have Dick Cheney endorsement campaign and

943
00:44:29,000 --> 00:44:32,640
Speaker 9: with Senator Liz Cheney but progressors like us.

944
00:44:32,880 --> 00:44:35,360
Speaker 4: Oh no, no, oh no, I haven't seen that.

945
00:44:35,520 --> 00:44:39,320
Speaker 9: They rather have Republicans and the progressives.

946
00:44:39,400 --> 00:44:40,200
Speaker 6: That is very toning.

947
00:44:40,360 --> 00:44:42,399
Speaker 1: We see how, we see how it's working out for them.

948
00:44:43,120 --> 00:44:45,439
Speaker 1: The voice movie Horse. But as always, the message comes

949
00:44:45,480 --> 00:44:47,880
Speaker 1: through Ladin clear center, Nina Turner, Grace say you you.

950
00:44:48,360 --> 00:44:48,839
Speaker 6: Oh my god.

951
00:44:48,840 --> 00:44:51,319
Speaker 9: I appreciate you both so much and just love that

952
00:44:51,400 --> 00:44:54,800
Speaker 9: you give opportunity for other voices that just don't walk

953
00:44:55,200 --> 00:44:56,840
Speaker 9: the afine line.

954
00:44:57,000 --> 00:44:59,320
Speaker 6: You both know. I'm a lover of people.

955
00:44:59,320 --> 00:45:01,800
Speaker 9: I'm a lover of and I do believe that folks

956
00:45:01,800 --> 00:45:04,719
Speaker 9: who have elected titles they owe the people that they

957
00:45:04,800 --> 00:45:07,279
Speaker 9: serve to really lift them. And God knows people in

958
00:45:07,320 --> 00:45:09,080
Speaker 9: this country really do need this right now.

959
00:45:09,640 --> 00:45:10,239
Speaker 6: Thank you both.

960
00:45:10,280 --> 00:45:12,239
Speaker 3: Great to see Ana too.

961
00:45:12,520 --> 00:45:13,160
Speaker 6: Bye bye.

962
00:45:15,920 --> 00:45:18,480
Speaker 2: Some interesting news out of a more recent interview between

963
00:45:18,520 --> 00:45:21,279
Speaker 2: Donald Trump and the Nelk Boys, he says he is

964
00:45:21,360 --> 00:45:23,880
Speaker 2: going to be doing the Joe Rogan Experience podcast.

965
00:45:24,000 --> 00:45:24,760
Speaker 3: Let's take a listen.

966
00:45:24,920 --> 00:45:27,160
Speaker 11: You're doing a lot of podcasts recently. One that I

967
00:45:27,160 --> 00:45:29,319
Speaker 11: would love to see you on. Is I think Joe

968
00:45:29,440 --> 00:45:30,520
Speaker 11: Rogan has to have you on?

969
00:45:31,040 --> 00:45:32,000
Speaker 6: Yeah?

970
00:45:32,280 --> 00:45:33,480
Speaker 11: Would you do that? Oh?

971
00:45:33,520 --> 00:45:34,160
Speaker 6: Sure, I would?

972
00:45:34,600 --> 00:45:39,080
Speaker 11: I think Joe like besides us Joe. Yeah, so you

973
00:45:39,160 --> 00:45:41,320
Speaker 11: are going to do Joe Rogan. Joe Rogan is the

974
00:45:41,320 --> 00:45:44,200
Speaker 11: best in the game for sure. And I think, you know, did.

975
00:45:44,080 --> 00:45:47,600
Speaker 7: Joe become so well known because of the UFC and

976
00:45:47,880 --> 00:45:49,040
Speaker 7: he does a great job with it?

977
00:45:49,120 --> 00:45:49,319
Speaker 6: Right?

978
00:45:49,760 --> 00:45:52,400
Speaker 11: What was it that made Joe the best during COVID?

979
00:45:53,000 --> 00:45:56,200
Speaker 11: You know, he was very outspoken on all the corruption

980
00:45:56,320 --> 00:45:58,960
Speaker 11: going on during COVID, And I think that's personally when

981
00:45:58,960 --> 00:46:01,120
Speaker 11: I started watching him a lot too. Just he's an

982
00:46:01,120 --> 00:46:01,840
Speaker 11: honest guy.

983
00:46:01,719 --> 00:46:02,640
Speaker 3: Too, right he is.

984
00:46:02,800 --> 00:46:04,800
Speaker 11: So I think goody, good guy, and I think you

985
00:46:04,880 --> 00:46:05,880
Speaker 11: guys together would.

986
00:46:05,640 --> 00:46:06,600
Speaker 3: Just got a good voice.

987
00:46:06,640 --> 00:46:07,360
Speaker 6: It's important.

988
00:46:07,680 --> 00:46:11,280
Speaker 2: You gotta love the NELK guys being like, besides us,

989
00:46:11,360 --> 00:46:17,239
Speaker 2: he's the biggest come on bro. So I just can't

990
00:46:17,280 --> 00:46:20,880
Speaker 2: get over that. That's incredible. That is such. That is

991
00:46:21,200 --> 00:46:23,160
Speaker 2: a very inflated picture. I guess I'll just dove.

992
00:46:24,160 --> 00:46:24,440
Speaker 6: Yeah.

993
00:46:24,480 --> 00:46:27,120
Speaker 2: Also a little bit interesting that he said he was like,

994
00:46:27,160 --> 00:46:29,520
Speaker 2: well in twenty twenty during COVID, that's when I became

995
00:46:29,520 --> 00:46:30,840
Speaker 2: aware of him. I'm like, well, he was already the

996
00:46:30,840 --> 00:46:32,760
Speaker 2: biggest podcast in the world in twenty nineteen.

997
00:46:32,760 --> 00:46:34,360
Speaker 3: But okay, I mean.

998
00:46:34,239 --> 00:46:36,560
Speaker 1: I do get the sense Trump really has no idea

999
00:46:36,560 --> 00:46:39,239
Speaker 1: of this fear like he's he's you know, people in

1000
00:46:39,280 --> 00:46:40,919
Speaker 1: his world are like, oh, you should do this one,

1001
00:46:40,920 --> 00:46:42,640
Speaker 1: you should do that one. But I don't feel like

1002
00:46:42,680 --> 00:46:43,800
Speaker 1: he's himself consuming.

1003
00:46:43,920 --> 00:46:44,040
Speaker 3: No.

1004
00:46:44,920 --> 00:46:46,959
Speaker 4: Yeah, but here's very cable news.

1005
00:46:47,160 --> 00:46:49,960
Speaker 2: Here's at least what I respect about Trump and his campaign,

1006
00:46:50,000 --> 00:46:52,640
Speaker 2: at least around this and especially with the candidate, because

1007
00:46:52,640 --> 00:46:55,120
Speaker 2: there's not enough politicians who can do this where he'll

1008
00:46:55,120 --> 00:46:58,360
Speaker 2: have staff where like or advisors. Dana White in particular,

1009
00:46:58,480 --> 00:47:00,879
Speaker 2: Dani's friends with the NELK guys. I'm assuming that's how a.

1010
00:47:00,800 --> 00:47:01,400
Speaker 3: Lot of this happened.

1011
00:47:01,400 --> 00:47:02,879
Speaker 2: But Daniell just be like, hey man, these are really

1012
00:47:02,880 --> 00:47:05,000
Speaker 2: big and Trump is like, oh really, and he's like okay.

1013
00:47:05,239 --> 00:47:07,720
Speaker 2: It's like one of those where he is fully aware

1014
00:47:07,880 --> 00:47:10,759
Speaker 2: that these are very influential and he understands that it

1015
00:47:10,800 --> 00:47:15,160
Speaker 2: has some major impact in terms of reaching people. The

1016
00:47:15,200 --> 00:47:16,959
Speaker 2: reason why we wanted to highlight this if it's true,

1017
00:47:16,960 --> 00:47:19,480
Speaker 2: By the way, I have no inside knowledge or anything.

1018
00:47:19,480 --> 00:47:20,319
Speaker 3: I haven't asked Joe.

1019
00:47:20,400 --> 00:47:22,600
Speaker 2: He had previously said he didn't necessarily want to have

1020
00:47:23,200 --> 00:47:25,960
Speaker 2: Trump on, not out of anything personal, but because he

1021
00:47:26,000 --> 00:47:28,440
Speaker 2: didn't want to have like the major political candidates.

1022
00:47:28,440 --> 00:47:29,439
Speaker 3: Maybe he's changed his mind.

1023
00:47:29,480 --> 00:47:31,200
Speaker 2: I know he's made some comments recently, He's like some

1024
00:47:31,239 --> 00:47:33,440
Speaker 2: things that I would like to ask Trump. He previously

1025
00:47:33,480 --> 00:47:36,239
Speaker 2: had Bernie Sanders on in the twenty sixteen or sorry,

1026
00:47:36,239 --> 00:47:37,480
Speaker 2: in the twenty twenty campaign.

1027
00:47:38,120 --> 00:47:39,040
Speaker 3: But the reason why this is.

1028
00:47:39,040 --> 00:47:43,400
Speaker 2: Important is it really does highlight the strategies both Trump

1029
00:47:43,440 --> 00:47:45,400
Speaker 2: and Harris. The call back to the Call Her Daddy

1030
00:47:45,400 --> 00:47:47,759
Speaker 2: appearance by Kamala Harris, let's put this up there on

1031
00:47:47,800 --> 00:47:50,680
Speaker 2: the screen from Axio Sarah Fisher, she's a really good

1032
00:47:50,960 --> 00:47:53,719
Speaker 2: media reporter, and she wrote this up, which is the

1033
00:47:53,880 --> 00:47:57,799
Speaker 2: podcast Become Politician Magnets, And what she highlights is just

1034
00:47:57,880 --> 00:48:00,800
Speaker 2: the obvious trend to probably anyone who's watching this show

1035
00:48:01,080 --> 00:48:04,280
Speaker 2: but hasn't yet sunk in for a lot of people,

1036
00:48:04,560 --> 00:48:08,799
Speaker 2: is just how much podcasts and specifically like shows like

1037
00:48:08,840 --> 00:48:11,520
Speaker 2: ours or a million others that are out there, have

1038
00:48:11,600 --> 00:48:15,200
Speaker 2: become the dominant consumption of not just political content, but

1039
00:48:15,320 --> 00:48:17,919
Speaker 2: of all content, and that that is the best way

1040
00:48:17,960 --> 00:48:21,040
Speaker 2: to reach people who are under the age of thirty five.

1041
00:48:21,160 --> 00:48:24,279
Speaker 2: So if you look within here, what they talk about

1042
00:48:24,400 --> 00:48:27,200
Speaker 2: is not only the Call Her Daddy appearance that Kamala did.

1043
00:48:27,360 --> 00:48:29,520
Speaker 2: And by the way, there was some really there was

1044
00:48:29,560 --> 00:48:32,400
Speaker 2: some stupid analyses done. They were like, Oh, look, Kamala

1045
00:48:32,440 --> 00:48:35,399
Speaker 2: Harris's Call Her Daddy appearance on YouTube wasn't that big.

1046
00:48:35,440 --> 00:48:38,240
Speaker 2: I'm like, guys, Call Her Daddy is predominantly an audio podcast.

1047
00:48:38,239 --> 00:48:41,719
Speaker 2: They get ten million listeners, the second largest podcast in

1048
00:48:41,760 --> 00:48:45,560
Speaker 2: the world behind Rogan would I would not diminish the

1049
00:48:45,600 --> 00:48:48,800
Speaker 2: influence of that, just from knowing the pop culture influence

1050
00:48:48,800 --> 00:48:51,040
Speaker 2: of it itself, the amount of merchcy sells and all

1051
00:48:51,080 --> 00:48:53,520
Speaker 2: the other stuff. But Trump, I mean, if you look

1052
00:48:53,600 --> 00:48:56,440
Speaker 2: at the other ones that he's done recently, between all In,

1053
00:48:56,760 --> 00:49:00,160
Speaker 2: Lex Reeman, THEO, Von Logan Paul, this is all a

1054
00:49:00,320 --> 00:49:03,880
Speaker 2: major young male strategy. And Rogan has talked about this before.

1055
00:49:04,040 --> 00:49:07,040
Speaker 2: He said, hiss like audience is like ninety something percent. Man,

1056
00:49:07,120 --> 00:49:09,040
Speaker 2: I'm willing to bet that's probably the same case for

1057
00:49:09,120 --> 00:49:12,239
Speaker 2: like Logan Paul, for THEOVON, for both of those. I mean,

1058
00:49:12,280 --> 00:49:15,279
Speaker 2: these are comedy podcasts. They're very like male Space. I

1059
00:49:15,320 --> 00:49:16,759
Speaker 2: don't think there's anything wrong with that, by the way,

1060
00:49:16,760 --> 00:49:19,200
Speaker 2: but it's just one of those what it shows you

1061
00:49:19,640 --> 00:49:23,920
Speaker 2: how in particular, if you think about the podcast demo

1062
00:49:23,960 --> 00:49:27,279
Speaker 2: and actually UFC is a good analogy to this. The

1063
00:49:27,400 --> 00:49:29,960
Speaker 2: UFC is not only like is it I wouldn't call

1064
00:49:30,000 --> 00:49:31,640
Speaker 2: it explicitly right wing, but it's got a very right

1065
00:49:31,680 --> 00:49:34,719
Speaker 2: wing audience. But if you ever been to a UFC fight,

1066
00:49:35,560 --> 00:49:38,200
Speaker 2: that's the multi racial or male.

1067
00:49:38,040 --> 00:49:40,560
Speaker 3: Working class if you want, I'm serious, you'll look around.

1068
00:49:40,600 --> 00:49:42,319
Speaker 3: He's the people from all over the world.

1069
00:49:42,280 --> 00:49:45,279
Speaker 2: Black, white, Hispanic, WWE's very much the same way. They

1070
00:49:45,320 --> 00:49:48,359
Speaker 2: have a huge black Latino fan base as well. Like

1071
00:49:48,480 --> 00:49:50,840
Speaker 2: that is what he's going for, and that's why, you know,

1072
00:49:50,960 --> 00:49:54,279
Speaker 2: part of the whole like black like Latino conversation that

1073
00:49:54,280 --> 00:49:56,680
Speaker 2: frustrates me is that they don't ever focus in on

1074
00:49:56,719 --> 00:49:59,440
Speaker 2: the gender gap. So actually, in that NBC poll that

1075
00:49:59,480 --> 00:50:03,440
Speaker 2: we led our show with, if you look at the crosstab,

1076
00:50:03,719 --> 00:50:07,400
Speaker 2: Trump's male numbers are the highest level since any candidate

1077
00:50:07,440 --> 00:50:11,000
Speaker 2: since Ronald Reagan in nineteen eighty. The female number is

1078
00:50:11,040 --> 00:50:14,600
Speaker 2: actually like relatively static. It's more about movement within the

1079
00:50:14,600 --> 00:50:17,040
Speaker 2: female demographic in terms of like white men or a

1080
00:50:17,120 --> 00:50:20,040
Speaker 2: white females and you know, Latino females or whatever. But

1081
00:50:20,440 --> 00:50:24,920
Speaker 2: with men specifically across all races, especially with Latino and

1082
00:50:25,040 --> 00:50:28,520
Speaker 2: Black men, that is where the most movement is happening.

1083
00:50:28,560 --> 00:50:29,879
Speaker 3: I mean Trump. I would not.

1084
00:50:29,880 --> 00:50:32,719
Speaker 2: Put it past Trump to win nearly fifty percent of

1085
00:50:32,719 --> 00:50:35,920
Speaker 2: the Latino male vote in twenty twenty four. That is

1086
00:50:36,160 --> 00:50:38,920
Speaker 2: crazy compared to where it was in twenty sixteen. It

1087
00:50:38,960 --> 00:50:41,399
Speaker 2: was like roughly in the thirties. So that is how

1088
00:50:41,400 --> 00:50:43,960
Speaker 2: I see the podcast move more than anything. Both and

1089
00:50:44,000 --> 00:50:45,960
Speaker 2: the choices of them call her daddy. And then a

1090
00:50:46,000 --> 00:50:48,279
Speaker 2: lot of these male dominated pods like Milk Boys, you know,

1091
00:50:48,320 --> 00:50:49,719
Speaker 2: for example, who do you think is watching that?

1092
00:50:49,880 --> 00:50:50,759
Speaker 3: You know? Right? Yeah?

1093
00:50:50,840 --> 00:50:53,160
Speaker 4: No, Rogan is like, you know, the crown jewel of

1094
00:50:53,200 --> 00:50:53,839
Speaker 4: the bros Field.

1095
00:50:53,880 --> 00:50:54,560
Speaker 3: Oh, absolutely so.

1096
00:50:54,640 --> 00:50:57,879
Speaker 1: And he's it's interesting too, like if this is real, which,

1097
00:50:57,920 --> 00:50:59,960
Speaker 1: like you said, it hasn't been confirmed, and lord knows,

1098
00:51:00,000 --> 00:51:01,399
Speaker 1: Trump can make some shit up on the fly.

1099
00:51:01,560 --> 00:51:02,759
Speaker 3: You never know, right, he did.

1100
00:51:02,680 --> 00:51:05,560
Speaker 2: It check Joe not that long ago. Yeah, remember we

1101
00:51:05,680 --> 00:51:07,960
Speaker 2: covered it. He was like, he's like, Joe Rogan is

1102
00:51:07,960 --> 00:51:09,799
Speaker 2: a lightweight or something like that. He said that he

1103
00:51:09,800 --> 00:51:12,360
Speaker 2: gets booted, He's going to get booed at UFC.

1104
00:51:12,440 --> 00:51:14,600
Speaker 1: Yeah, because what Joe said something critical of him and

1105
00:51:14,719 --> 00:51:17,719
Speaker 1: got in his feelings about it was something like he said, I.

1106
00:51:17,640 --> 00:51:19,879
Speaker 3: Think he said I think Kamala is going to win

1107
00:51:19,960 --> 00:51:21,200
Speaker 3: that or maybe he.

1108
00:51:21,160 --> 00:51:23,200
Speaker 4: Said she did a good job in the eight was that?

1109
00:51:23,200 --> 00:51:25,760
Speaker 3: What what what I don't know anyway, so stupid.

1110
00:51:26,840 --> 00:51:31,279
Speaker 1: But I mean it's also interesting because Joe previously did

1111
00:51:31,320 --> 00:51:33,919
Speaker 1: not want to interview Trump because he feels like I'm

1112
00:51:33,920 --> 00:51:36,000
Speaker 1: a comedian, like I don't know if I'm really the

1113
00:51:36,040 --> 00:51:41,160
Speaker 1: person to interview I'm not a journalist, right, And there's

1114
00:51:41,360 --> 00:51:47,200
Speaker 1: because this mode of politics has become more normalized, it's

1115
00:51:47,200 --> 00:51:49,400
Speaker 1: possible he feels more comfortable like, oh, well, if the

1116
00:51:49,440 --> 00:51:52,920
Speaker 1: freakin boys kind of interview him, like, you know, I

1117
00:51:53,080 --> 00:51:53,800
Speaker 1: could probably.

1118
00:51:53,600 --> 00:51:54,440
Speaker 4: Do a better job than May.

1119
00:51:54,480 --> 00:51:56,359
Speaker 1: At least I'll ask him something that might be a

1120
00:51:56,360 --> 00:51:59,520
Speaker 1: little bit challenging. But you know, it's it's no secret

1121
00:51:59,560 --> 00:52:03,600
Speaker 1: also why both Kamala and Trump and any other politician

1122
00:52:04,080 --> 00:52:06,759
Speaker 1: loves this realm because Kamala knows she can go on

1123
00:52:06,880 --> 00:52:09,239
Speaker 1: with Alex Cooper and call her daddy and just like,

1124
00:52:09,520 --> 00:52:12,480
Speaker 1: you know, not get asked a single difficult question. Trump

1125
00:52:12,520 --> 00:52:14,279
Speaker 1: knows damn well when you're sitting down with the Milk

1126
00:52:14,320 --> 00:52:16,680
Speaker 1: Boys that it's all going to be just like friendly

1127
00:52:16,719 --> 00:52:18,040
Speaker 1: banter and games.

1128
00:52:18,200 --> 00:52:18,640
Speaker 4: And so.

1129
00:52:20,080 --> 00:52:22,400
Speaker 1: You know, this is also part of a strategy to

1130
00:52:22,640 --> 00:52:26,239
Speaker 1: avoid really having any challenging questions. And I think it

1131
00:52:26,280 --> 00:52:29,520
Speaker 1: does post some difficult ethical issues for people who are

1132
00:52:29,680 --> 00:52:33,160
Speaker 1: comedians who are cultural figures like Alex Cooper, like Andrew

1133
00:52:33,200 --> 00:52:36,800
Speaker 1: Schultz or whatever. It's like, you know, it still remains

1134
00:52:36,840 --> 00:52:41,040
Speaker 1: that that ethical quandary of Okay, I'm not well studied

1135
00:52:41,040 --> 00:52:43,439
Speaker 1: in the Middle East, in the history of the Middle

1136
00:52:43,440 --> 00:52:45,000
Speaker 1: East and what's going on with this conflict.

1137
00:52:45,040 --> 00:52:46,600
Speaker 4: I'm not well studying these areas.

1138
00:52:47,280 --> 00:52:49,719
Speaker 1: Do I feel like it's a responsible thing for me to,

1139
00:52:50,239 --> 00:52:53,759
Speaker 1: you know, to interview this incredibly powerful person who is

1140
00:52:53,880 --> 00:52:56,319
Speaker 1: vying for the highest office in the land. And I

1141
00:52:56,360 --> 00:52:58,359
Speaker 1: do think it's a like, I think it's a tricky thing.

1142
00:52:58,400 --> 00:53:00,520
Speaker 1: I think it's a difficult thing. But the more that

1143
00:53:00,560 --> 00:53:04,200
Speaker 1: it becomes normal and you know, typical within a campaign.

1144
00:53:04,239 --> 00:53:06,279
Speaker 1: First of all, the more politicians are going to lean

1145
00:53:06,320 --> 00:53:08,200
Speaker 1: into it because it's nothing but a win for them.

1146
00:53:08,360 --> 00:53:10,440
Speaker 1: They get to go on and get asked softball questions

1147
00:53:10,480 --> 00:53:12,760
Speaker 1: and have clips that go viral and reach a demographic

1148
00:53:12,840 --> 00:53:16,120
Speaker 1: that's important to them. But and you know, it also

1149
00:53:16,320 --> 00:53:18,799
Speaker 1: obviously serves the interests of those podcasters who get to

1150
00:53:18,840 --> 00:53:21,400
Speaker 1: have a big guest and all the incentives are in

1151
00:53:21,440 --> 00:53:25,440
Speaker 1: the opposite direction of asking difficult questions and actually you know,

1152
00:53:25,560 --> 00:53:27,280
Speaker 1: challenging any of these political candidates.

1153
00:53:27,360 --> 00:53:29,440
Speaker 2: Yeah, the good news is I think, I mean, Joe's

1154
00:53:29,480 --> 00:53:33,520
Speaker 2: had previous skepticism about that about having politicians on in

1155
00:53:33,560 --> 00:53:36,120
Speaker 2: the past, so and he actually can be a sleeper

1156
00:53:36,880 --> 00:53:39,400
Speaker 2: when he wants to be, like in terms of undercutting

1157
00:53:39,440 --> 00:53:40,600
Speaker 2: or be like what do you mean by that, and

1158
00:53:40,719 --> 00:53:43,080
Speaker 2: like really pressing. Some of his best like some of

1159
00:53:43,080 --> 00:53:45,879
Speaker 2: his best moments of deconstructing somebody really just come from

1160
00:53:45,880 --> 00:53:48,359
Speaker 2: like a very skeptical face and probing. So I would

1161
00:53:48,400 --> 00:53:50,719
Speaker 2: hope to see a little bit of that. But look,

1162
00:53:50,760 --> 00:53:53,719
Speaker 2: it gets to you should not be going into that

1163
00:53:53,760 --> 00:53:57,080
Speaker 2: being like expecting like a like an NBC News like

1164
00:53:57,120 --> 00:53:59,719
Speaker 2: Meet the Press interview. That's not what they're going for either.

1165
00:53:59,719 --> 00:54:02,680
Speaker 2: Stif it's literally is not a job. So yeah, I

1166
00:54:02,680 --> 00:54:04,160
Speaker 2: think it's a difficult question.

1167
00:54:04,239 --> 00:54:06,160
Speaker 1: But like you said, you don't want to end up

1168
00:54:06,200 --> 00:54:07,920
Speaker 1: just being like a propaganda piece.

1169
00:54:08,040 --> 00:54:08,839
Speaker 4: Like I think about this.

1170
00:54:08,960 --> 00:54:10,360
Speaker 1: You know, if I get asked to go on Fox

1171
00:54:10,360 --> 00:54:13,120
Speaker 1: News because I said something critical of Democrats and they're like,

1172
00:54:13,239 --> 00:54:15,000
Speaker 1: just say that, don't say the thing that you know

1173
00:54:15,000 --> 00:54:18,000
Speaker 1: it is critical of Trump, and so you know, I'm

1174
00:54:18,160 --> 00:54:20,680
Speaker 1: leary in those situations of just getting used to make

1175
00:54:20,719 --> 00:54:23,920
Speaker 1: like a propaganda point for their own purposes. And so

1176
00:54:24,160 --> 00:54:26,680
Speaker 1: I think you have to be concerned about that as well,

1177
00:54:26,800 --> 00:54:28,560
Speaker 1: even if you are just like, you know, a cultural

1178
00:54:28,600 --> 00:54:30,600
Speaker 1: phenomenon like an Alex Cooper or whatever.

1179
00:54:30,719 --> 00:54:32,840
Speaker 4: Because she did get just turned into like a propaganda

1180
00:54:32,880 --> 00:54:33,560
Speaker 4: piece with Kamala.

1181
00:54:33,640 --> 00:54:35,640
Speaker 3: I think she's kind of fine with it. I think

1182
00:54:35,640 --> 00:54:36,160
Speaker 3: she is too.

1183
00:54:36,360 --> 00:54:39,080
Speaker 1: But I mean, you know, that's that's what you did, girl,

1184
00:54:39,200 --> 00:54:41,719
Speaker 1: like you did an infomercial for Kamala Harris. Yeah, and

1185
00:54:41,760 --> 00:54:44,440
Speaker 1: maybe you're good with that, that's fine, but you know,

1186
00:54:44,440 --> 00:54:47,279
Speaker 1: I saw backlash even from her audience of like, yeah,

1187
00:54:47,600 --> 00:54:49,520
Speaker 1: we're super happy that that was the use.

1188
00:54:49,400 --> 00:54:50,200
Speaker 4: Of the platform.

1189
00:54:50,360 --> 00:54:53,440
Speaker 2: I don't disagree with you, I'd be Look, I think

1190
00:54:53,760 --> 00:54:56,400
Speaker 2: at this point he at least can see what the

1191
00:54:56,440 --> 00:54:58,880
Speaker 2: other people have either done right or wrong, what was

1192
00:54:58,880 --> 00:55:01,040
Speaker 2: the best strategy of feeling that strategy was the best one,

1193
00:55:01,080 --> 00:55:03,200
Speaker 2: and just treat him like a normal guest. And if

1194
00:55:03,200 --> 00:55:06,320
Speaker 2: he were Trump's superpower. In all interviews, he just talks,

1195
00:55:06,600 --> 00:55:09,480
Speaker 2: talks and talks. He likes to control the conversation, especially

1196
00:55:09,480 --> 00:55:12,160
Speaker 2: doesn't like like follow up questions or anything like that.

1197
00:55:12,160 --> 00:55:14,160
Speaker 2: I mean, look, this is his media training for years

1198
00:55:14,160 --> 00:55:16,760
Speaker 2: and years. He knows exactly what he's doing, so getting

1199
00:55:16,800 --> 00:55:18,600
Speaker 2: around that is going to be the most difficult thing

1200
00:55:18,760 --> 00:55:20,080
Speaker 2: that can be a plus or minus in a three

1201
00:55:20,120 --> 00:55:22,040
Speaker 2: and a half four hour podcast. So the time is

1202
00:55:22,080 --> 00:55:24,759
Speaker 2: actually probably the most important. One of the things that

1203
00:55:24,800 --> 00:55:26,759
Speaker 2: politicians do is they almost never agree to a three

1204
00:55:26,800 --> 00:55:30,120
Speaker 2: hour interview. They usually do like one hour. Trump can

1205
00:55:30,160 --> 00:55:32,160
Speaker 2: do a one hour interview all day long. I'vean interviewed

1206
00:55:32,160 --> 00:55:35,239
Speaker 2: Trump four times almost every single time was nearly one hour,

1207
00:55:35,360 --> 00:55:38,000
Speaker 2: and you know, trying to control that he knows exactly

1208
00:55:38,080 --> 00:55:40,520
Speaker 2: like when to allow a follow up or when not to,

1209
00:55:40,600 --> 00:55:42,879
Speaker 2: and it can be quite difficult, you know, to get

1210
00:55:42,880 --> 00:55:45,240
Speaker 2: in there. So time is going to be critical, asking

1211
00:55:45,320 --> 00:55:47,520
Speaker 2: like a follow up question or any of that. Something

1212
00:55:47,560 --> 00:55:49,440
Speaker 2: I think Joe and actually even Schultz and some of

1213
00:55:49,520 --> 00:55:52,400
Speaker 2: the other people like Lex and all those did is

1214
00:55:52,560 --> 00:55:55,799
Speaker 2: they asked something which Trump is not necessarily used to,

1215
00:55:55,960 --> 00:55:59,360
Speaker 2: and that's whenever you would get interesting answers. So for example,

1216
00:55:59,400 --> 00:56:01,920
Speaker 2: like Lex remember being like, so, how you know, what

1217
00:56:01,960 --> 00:56:03,480
Speaker 2: do you think about bringing people together?

1218
00:56:03,520 --> 00:56:05,000
Speaker 3: And Trump was like, I'm not interested in that.

1219
00:56:05,080 --> 00:56:07,479
Speaker 2: Basically, it's like yeah, and he's like, well, the left

1220
00:56:07,520 --> 00:56:10,759
Speaker 2: they're radical, was like, yeah, but what about bringing people

1221
00:56:10,760 --> 00:56:12,480
Speaker 2: to That's not even a question I would ask just

1222
00:56:12,520 --> 00:56:14,600
Speaker 2: because I would like to focus on policy. But I

1223
00:56:14,640 --> 00:56:16,279
Speaker 2: was like, you know, for a lot of people, the

1224
00:56:16,320 --> 00:56:18,080
Speaker 2: way they think about politics, and even if the way

1225
00:56:18,120 --> 00:56:20,240
Speaker 2: they think about Trump per se, they're like, that's probably

1226
00:56:20,280 --> 00:56:22,760
Speaker 2: something I don't really like about Trump. And so for him,

1227
00:56:22,880 --> 00:56:25,200
Speaker 2: whenever he gets asked about that and his answer, it

1228
00:56:25,239 --> 00:56:27,239
Speaker 2: can be quite revealing. That's kind of what I would

1229
00:56:27,239 --> 00:56:30,400
Speaker 2: expect to come out from from a Joe Rogan podcast

1230
00:56:30,560 --> 00:56:32,719
Speaker 2: with him, because you know, Rogan is always like, look,

1231
00:56:32,719 --> 00:56:34,360
Speaker 2: I'm not gonna you know, he's not he's not a

1232
00:56:34,400 --> 00:56:36,799
Speaker 2: technical expert or something. He tries to cut to the

1233
00:56:36,840 --> 00:56:40,000
Speaker 2: core of like what this person is all about. And

1234
00:56:40,160 --> 00:56:43,000
Speaker 2: I would be curious to see Trump in that in

1235
00:56:43,120 --> 00:56:49,080
Speaker 2: that spirit, especially whenever he can't necessarily rely on old tricks.

1236
00:56:49,120 --> 00:56:50,400
Speaker 2: And then it really it's up to Joe and how

1237
00:56:50,440 --> 00:56:52,400
Speaker 2: he wants to direct the conversation. Yeah, it'd be interesting.

1238
00:56:52,480 --> 00:56:55,600
Speaker 4: And I mean, Joe likes to play dumb sometimes.

1239
00:56:55,200 --> 00:56:56,000
Speaker 3: Yeah, but he's not.

1240
00:56:56,120 --> 00:56:58,800
Speaker 1: He's not, you know, Joe is an intelligent, well read

1241
00:56:59,000 --> 00:57:01,880
Speaker 1: person who you know, has a lot of thoughts and

1242
00:57:02,000 --> 00:57:03,000
Speaker 1: ideas on a.

1243
00:57:03,000 --> 00:57:04,040
Speaker 4: Variety of subjects.

1244
00:57:04,400 --> 00:57:07,000
Speaker 1: I guess I would just say, as politicians find this

1245
00:57:07,120 --> 00:57:11,520
Speaker 1: terrain to be more fruitful for them and increasingly lean

1246
00:57:11,560 --> 00:57:12,080
Speaker 1: into it.

1247
00:57:12,200 --> 00:57:13,880
Speaker 4: Over like traditional.

1248
00:57:13,360 --> 00:57:15,440
Speaker 1: Media spaces, which makes all the sense in the world

1249
00:57:15,480 --> 00:57:18,880
Speaker 1: given the you know, direction of media's fears. It actually

1250
00:57:18,880 --> 00:57:21,160
Speaker 1: does put more of an onus on the podcast or

1251
00:57:21,200 --> 00:57:24,440
Speaker 1: to study up and think about what, you know, what

1252
00:57:24,560 --> 00:57:28,240
Speaker 1: issues actually impact people and ask them difficult questions since

1253
00:57:28,240 --> 00:57:30,000
Speaker 1: they're apparently the only ones who are going to have

1254
00:57:30,040 --> 00:57:32,560
Speaker 1: the opportunity to. Now the downside of that for them

1255
00:57:32,600 --> 00:57:34,400
Speaker 1: individually is that means they'll never.

1256
00:57:34,240 --> 00:57:35,600
Speaker 4: Get to get that interview again.

1257
00:57:36,000 --> 00:57:38,240
Speaker 1: But you know, is that really the end of the world,

1258
00:57:38,440 --> 00:57:42,160
Speaker 1: Because I think no matter who you are, whether you're

1259
00:57:42,160 --> 00:57:45,040
Speaker 1: a comedian or cultural figure, or a singer or a

1260
00:57:45,080 --> 00:57:48,200
Speaker 1: lifestyle wellness guru or whatever the hell you're doing right,

1261
00:57:48,840 --> 00:57:52,760
Speaker 1: you still have if you accept that interview, you still

1262
00:57:52,760 --> 00:57:56,520
Speaker 1: have some responsibility to try to probe what are the

1263
00:57:56,560 --> 00:57:59,040
Speaker 1: actual positions of this individual, What is the way this

1264
00:57:59,080 --> 00:58:02,200
Speaker 1: individual actually thinks. You don't just get to get out

1265
00:58:02,200 --> 00:58:04,960
Speaker 1: of jail free pass because you are not a journalist.

1266
00:58:05,200 --> 00:58:08,640
Speaker 1: You're a sentient human being, are obviously intelligent enough to have,

1267
00:58:08,880 --> 00:58:11,760
Speaker 1: you know, created this successful platform. And so I do

1268
00:58:11,800 --> 00:58:14,960
Speaker 1: think because they're leaning more into this strategy. It creates

1269
00:58:14,960 --> 00:58:17,880
Speaker 1: more of a responsibility on these podcasters to try to

1270
00:58:17,960 --> 00:58:18,360
Speaker 1: rise to.

1271
00:58:18,280 --> 00:58:20,080
Speaker 2: Be Well, that's the funny part. I remember him saying

1272
00:58:20,080 --> 00:58:21,280
Speaker 2: that in the past. He's like, I don't want to

1273
00:58:21,280 --> 00:58:23,320
Speaker 2: do it because I don't want the responsibility.

1274
00:58:23,520 --> 00:58:25,840
Speaker 3: He was like, I never wanted to be.

1275
00:58:25,600 --> 00:58:28,320
Speaker 2: In a position where I had to be like checking

1276
00:58:28,320 --> 00:58:31,600
Speaker 2: people's facts and making sure that what's saying somebody is

1277
00:58:31,600 --> 00:58:31,960
Speaker 2: not true.

1278
00:58:32,000 --> 00:58:34,000
Speaker 3: He's like, we used to just smoke weed and get.

1279
00:58:33,960 --> 00:58:36,520
Speaker 2: Drunk on his podcast and talk shit, and eventually it

1280
00:58:36,560 --> 00:58:38,080
Speaker 2: became like a platform source.

1281
00:58:38,280 --> 00:58:39,560
Speaker 3: So I totally understand where he's coming from.

1282
00:58:39,600 --> 00:58:40,800
Speaker 2: And if he doesn't even want to do it, I

1283
00:58:40,920 --> 00:58:43,240
Speaker 2: get that too, especially in the position that he's in.

1284
00:58:43,280 --> 00:58:44,840
Speaker 2: I mean, you think about he got see and running

1285
00:58:44,920 --> 00:58:46,760
Speaker 2: articles about you and all this other stuff, Like that's

1286
00:58:46,800 --> 00:58:49,240
Speaker 2: a nightmare, especially from what I mean, what he wants

1287
00:58:49,280 --> 00:58:50,640
Speaker 2: to do is do a show, and he's got an

1288
00:58:50,640 --> 00:58:52,800
Speaker 2: amazing club and he just wants to go to everyone.

1289
00:58:52,600 --> 00:58:54,840
Speaker 3: And hang out with his friends. I totally sympathize with that.

1290
00:58:54,920 --> 00:58:57,760
Speaker 2: So well, see, I'm curious, as you said, Trump could

1291
00:58:57,760 --> 00:59:00,440
Speaker 2: just be talking. He could be like mouthing off for

1292
00:59:00,520 --> 00:59:02,360
Speaker 2: what he wants and at this point, he's done a

1293
00:59:02,360 --> 00:59:07,040
Speaker 2: decent number of these rogans fear type interviews, so we'll

1294
00:59:07,040 --> 00:59:08,880
Speaker 2: see if we'll see if it happens. Yeah, I also

1295
00:59:08,880 --> 00:59:10,760
Speaker 2: want to see the time thing. That's actually probably the

1296
00:59:10,760 --> 00:59:11,880
Speaker 2: most important.

1297
00:59:11,600 --> 00:59:14,760
Speaker 1: Right does he give those does he give him the

1298
00:59:14,760 --> 00:59:16,520
Speaker 1: full three hours or at least two and.

1299
00:59:16,440 --> 00:59:17,840
Speaker 4: A half you know long?

1300
00:59:17,960 --> 00:59:19,640
Speaker 3: Yeah? Yeah, I think Bernie.

1301
00:59:19,360 --> 00:59:20,919
Speaker 1: I want to say Bernie was like two and a half,

1302
00:59:20,960 --> 00:59:22,120
Speaker 1: that's my guess it was.

1303
00:59:22,440 --> 00:59:23,560
Speaker 3: It was actually one oh seven.

1304
00:59:23,800 --> 00:59:24,080
Speaker 9: Wow.

1305
00:59:24,480 --> 00:59:25,400
Speaker 3: Really sure?

1306
00:59:25,480 --> 00:59:27,040
Speaker 4: That is sure? Yeah, that's too sure.

1307
00:59:27,160 --> 00:59:30,760
Speaker 1: Yeah, I guess. The last thing I'll say is this

1308
00:59:30,800 --> 00:59:33,600
Speaker 1: has been a very concerted strategy, especially from the Trump campaign.

1309
00:59:33,640 --> 00:59:35,800
Speaker 1: Like Kamala has done some of these things, but this

1310
00:59:35,920 --> 00:59:38,320
Speaker 1: has been a more concerted strategy from the Trump campaign,

1311
00:59:38,720 --> 00:59:41,840
Speaker 1: and it really is targeted at young men, which are

1312
00:59:41,880 --> 00:59:45,000
Speaker 1: some of the least frequent voters literally, so you know,

1313
00:59:45,000 --> 00:59:47,240
Speaker 1: they're they're betting a lot on turning out a group

1314
00:59:47,240 --> 00:59:50,240
Speaker 1: of voters, and they're betting more on this strategy than

1315
00:59:50,280 --> 00:59:52,960
Speaker 1: they are like a traditional field strategy in that, you know,

1316
00:59:53,040 --> 00:59:55,640
Speaker 1: typical campaign like we're going to have offices all over

1317
00:59:55,720 --> 00:59:57,080
Speaker 1: the state and we're going to go and knock on

1318
00:59:57,080 --> 00:59:57,840
Speaker 1: your door and whatever.

1319
00:59:58,160 --> 00:59:59,680
Speaker 4: They're leaning more into this.

1320
01:00:00,120 --> 01:00:02,320
Speaker 1: In some ways, they have to because they don't have

1321
01:00:02,520 --> 01:00:04,840
Speaker 1: nearly as much money as the Harris campaign does.

1322
01:00:05,240 --> 01:00:06,200
Speaker 4: But also I think it.

1323
01:00:06,240 --> 01:00:09,880
Speaker 1: Is a tactical belief that this is more effective at

1324
01:00:09,880 --> 01:00:13,480
Speaker 1: this point than that traditional door knocking campaign, And you know,

1325
01:00:13,560 --> 01:00:14,360
Speaker 1: there may.

1326
01:00:14,280 --> 01:00:15,080
Speaker 4: Be something to that.

1327
01:00:15,120 --> 01:00:17,439
Speaker 1: They may be correct about that, and they certainly see

1328
01:00:17,440 --> 01:00:20,520
Speaker 1: these as like friendly spaces with people are potentially to

1329
01:00:20,920 --> 01:00:21,600
Speaker 1: open to him.

1330
01:00:21,640 --> 01:00:24,040
Speaker 4: So you know, we're going to find out.

1331
01:00:23,920 --> 01:00:27,240
Speaker 1: If those infrequent male voters, young male voters do in

1332
01:00:27,240 --> 01:00:29,960
Speaker 1: fact turn out for him on election day, because he's betting.

1333
01:00:29,720 --> 01:00:30,200
Speaker 4: A lot on that.

1334
01:00:30,360 --> 01:00:33,000
Speaker 2: Yeah, it's very much a dude's rock campaign and I'm

1335
01:00:33,040 --> 01:00:34,080
Speaker 2: curious to see if it works.