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Speaker 1: Hey guys, Saga and Crystal here.

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Speaker 2: Independent media just played a truly massive role in this election,

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Speaker 2: and we are so excited about what that means for

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Speaker 2: the future of this show.

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Speaker 1: This is the only place where you can find honest

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Speaker 1: perspectives from the left and the right that simply does

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Speaker 1: not exist anywhere else.

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Speaker 2: So if that is something that's important to you, please

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Speaker 2: go to Breakingpoints dot com. Become a member today and

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Speaker 2: you'll get access to our full shows, unedited, ad free,

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Speaker 2: and all put together for you every morning in your inbox.

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Speaker 1: We need your help to build the future of independent

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Speaker 1: news media and we hope to see you at Breakingpoints

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Speaker 1: dot com.

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Speaker 3: Good morning, everybody, and welcome to a special pre holiday

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Speaker 3: edition of Breaking Points. Crystal, how are.

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Speaker 2: You breaking Points at home? That's what we're doing, Breaking

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Speaker 2: Points at Home.

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Speaker 3: It's for that extra flavor of authenticity. Contra morning Joe,

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Speaker 3: as we discussed.

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Speaker 2: You, that's exactly right. We're taking a page out of

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Speaker 2: their books. So I want to roll in here a

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Speaker 2: little bit later. My eyes a little bit more red,

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Speaker 2: my takes a little bit more cringe, all of those things,

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Speaker 2: and later I'm going to make a trip down to

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Speaker 2: mar A Lago and see if Donald Trump will be

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Speaker 2: nice to.

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Speaker 3: Me and then we can get married. That would be

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Speaker 3: the perfectly appropriate next step.

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Speaker 2: There you go as a good start this morning.

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Speaker 3: Yes, Spainer Mary, Soccer is still on his autymoon, but

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Speaker 3: this will be the last show. This is the last

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Speaker 3: Girls show. We did indeed set a record yesterday, as

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Speaker 3: I predicted for length. But Soccer will be back here

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Speaker 3: with everyone after the holiday, and I know he's very

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Speaker 3: much looking forward to that.

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Speaker 2: It's crazy we went so long because I genuinely tried

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Speaker 2: to talk less. I really genuinely did, and I'm going

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Speaker 2: to try to do that again today and probably fail.

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Speaker 2: So in the show today, we actually have a lot

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Speaker 2: of news. Donald Trump making a lot of news yesterday

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Speaker 2: with regard to announcing major tariffs against Canada and Mexico

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Speaker 2: and also increasing tariffs on China. We also want to

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Speaker 2: have this conversation that's been kind of floating around online

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Speaker 2: about whether Trump is akin to a Republican Obama in

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Speaker 2: his sort of like unique political skills. Obviously stylistically they're

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Speaker 2: very different, but they both seem to have been able

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Speaker 2: to put together coalitions of voters that no other politician

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Speaker 2: really seems to be able to do so, we'll dig

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Speaker 2: into that and some of the data that may back

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Speaker 2: up or may refute that claim. We've got Kamala Harris

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Speaker 2: planning her future. Apparently, Emily she's seeing out running for

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Speaker 2: president again in twenty twenty eight. I'm sure what could

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Speaker 2: go wrong. She's such a political phenom that this seems

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Speaker 2: like a really great idea for the future of the

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Speaker 2: Democratic Party.

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Speaker 3: I think she's got this in the bag. She's tan

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Speaker 3: restling and ready.

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Speaker 2: Ready to go, fired up, ready to go. We've got

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Speaker 2: some details about the Democratic response to Trump this time around.

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Speaker 2: The resistance has been notably quiet. What does that mean?

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Speaker 2: We have Lindsay Graham kind of spilling the beans on

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Speaker 2: what's really going on with regard to our involvement in Ukraine.

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Speaker 2: We have some interesting gen Z views of the world.

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Speaker 2: The amount of money that they feel that they need

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Speaker 2: to be able to make to be financially successful is

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Speaker 2: really quite something. Also a big divide in terms of

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Speaker 2: media consumption across generations that won't be surprising to you guys.

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Speaker 2: And then we're taking a look at you know how

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Speaker 2: much it's going to cost you get that turkey this

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Speaker 2: year for Thanksgiving?

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Speaker 3: Surprisingly good News.

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Speaker 2: Yes, we had to do a little bit of cringy

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Speaker 2: Thanksgiving morning show style content, otherwise it wouldn't be a

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Speaker 2: pre holiday show.

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Speaker 3: I wanted to cook together, but such.

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Speaker 2: As life imagine, we tried to do that like separately

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Speaker 2: at our home. So we said a disaster.

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Speaker 3: That a great idea. This is a fine substitute.

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Speaker 2: Before we jump in, we do have a little bit

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Speaker 2: of holiday merch that we wanted to share with you guys,

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Speaker 2: or sell to you guys or whatever. We're having a

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Speaker 2: special right now, so you get a free holiday ornament

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Speaker 2: with your purchase. That is as long as supplies last.

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Speaker 2: And also, if you are a premium subscriber, make sure

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Speaker 2: to check your inbox this morning. We're running a special

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Speaker 2: discount for you guys. Those switters were a big hit

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Speaker 2: last year. I now my dad really likes his. He

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Speaker 2: was wearing it at my house over the weekend. So

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Speaker 2: those are still available, so make sure to grab what

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Speaker 2: you need for the holidays.

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Speaker 3: Truly. I have had so many people of the course

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Speaker 3: so last year ask about.

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Speaker 2: The sweatshirts, so I do love the design.

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Speaker 3: They're awesome.

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Speaker 2: All right, let's go and jump into the show. Donald

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Speaker 2: Trump making some big news yesterday that I'm really interested

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Speaker 2: to get your thoughts on. Emily can put this up

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Speaker 2: on the screen. Announcing some major tariffs against Canada and Mexico.

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Speaker 2: Mexico is our largest trading partner, so that's quite significant.

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Speaker 2: Also announcing some increased tariffs on China. This is the

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Speaker 2: announcement about China. These all came out on true Socially,

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Speaker 2: says I've had many talks with China about the massive

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Speaker 2: amounts of drugs, in particular fentanyl being sent to the US,

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Speaker 2: but to no avail. He goes on to say, until

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Speaker 2: such time as they stop, will be charging China an

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Speaker 2: additional ten percent tariff above any additional tariffs on all

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Speaker 2: of their many products coming to the US. Of a

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Speaker 2: thank you for your attention to this matter. And then

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Speaker 2: the next one is the announcement with regard to Canada

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Speaker 2: and Mexico. He says, as everyone is ware, thousands of

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Speaker 2: people are pouring through Mexico and Canada, bringing crime and

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Speaker 2: drugs at levels never seen before. Right now, caravan coming

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Speaker 2: from Mexico, composed of thousands of people seems to be

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Speaker 2: unstoppable in its quest to come through a currently open border.

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Speaker 2: On January twentieth, as one of my many first executive orders,

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Speaker 2: I will sign all necessary documents to charge Mexico and

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Speaker 2: Canada a twenty five percent tariff on all products coming

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Speaker 2: into the US and its ridiculous open borders. This terrif

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Speaker 2: will remain in effect until such time as drugs, in

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Speaker 2: particular fentanyl and all illegal aliens stop this invasion of

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Speaker 2: our country. So Emily. A few things that are noteworthy.

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Speaker 2: I mean, first of all, Trump was very insistent his

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Speaker 2: entire time on the campaign trail that he wanted to

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Speaker 2: have significant, across the board tariffs on all imports. This

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Speaker 2: would be a huge step in that direction because taken collectively,

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Speaker 2: I mean Mexico, Canada, and China make up a majority

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Speaker 2: of our foreign imports, so this would be incredibly safe, magnificant.

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Speaker 2: There is no doubt that it would increase prices. Mexico

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Speaker 2: is responsible for some like seventy percent of our fresh

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Speaker 2: produce imports. RFK Junior not wouldn't be too happy about

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Speaker 2: that one. Canada really significant in terms of actually crude

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Speaker 2: oil and also building supplies. Obviously, there are all kinds

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Speaker 2: of things we get from China, and there's already significant

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Speaker 2: tariffs on some segments of the Chinese economy to begin with.

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Speaker 2: But you know, a few other things to note here.

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Speaker 2: Number one, the framing in terms of fentanyl and illegal

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Speaker 2: immigration seems to me significant in terms of a sort

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Speaker 2: of legal rationale because typically tariff programs such as this

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Speaker 2: would have to go through Congress. But the Trump administration

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Speaker 2: has been looking at ways that they could circumvent that

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Speaker 2: by you know, declaring this relevant to national security, So

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Speaker 2: that justification seems to me important. You know, the courts

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Speaker 2: have typically given presidents pretty wide lattice when it comes

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Speaker 2: to terrors in the name of national security, so that's significant.

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Speaker 2: And then the other big question mark, as always with

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Speaker 2: Donald Trump, is is this a serious position or is

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Speaker 2: this a negotiating tactic here out of the gates, Because

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Speaker 2: if it's serious, I don't think there's anyone that would

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Speaker 2: deny that this will have a gigantic impact on the

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Speaker 2: economy and will undoubtedly spike gas prices, grocery prices, construction prices,

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Speaker 2: and a lot of other things at a time when

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Speaker 2: Americans are saying that inflation is their number one issue.

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Speaker 3: And that's what goes into these negotiations, is Claudia Scheinbaum

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Speaker 3: going to look at Donald Trump and say there's no

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Speaker 3: way you're implementing this, whereas Donald Trump is coming in

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Speaker 3: and saying I will. That's obviously the big question because

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Speaker 3: we've seen him do this. I mean, we've seen him

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Speaker 3: do this many times as a starting point in negotiations.

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Speaker 3: I think this is probably a starting point. But would

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Speaker 3: he then go on the sliding scale, maybe even in

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Speaker 3: the middle, even if he met, you know, someone in

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Speaker 3: the middle on this, that would be catastrophic in terms

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Speaker 3: of like its effect on the economy. I don't I

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Speaker 3: shouldn't have used the word catastrophic. I should say consequential, Yeah,

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Speaker 3: in terms of the economy, even if he cuts that

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Speaker 3: in half to cut some type of deal. So that's

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Speaker 3: I mean, because I think it is a starting point,

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Speaker 3: and I think it's probably a smart way to get

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Speaker 3: Mexico in particular to the table on this. But I

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Speaker 3: don't think there's any way who would actually go through

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Speaker 3: with that level in half. Maybe, I mean, it's just

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Speaker 3: so hard to know.

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Speaker 2: With him, Yeah, I'm not so sure, because you know,

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Speaker 2: he was very consistent on the campaign trail about his

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Speaker 2: commitment to really shifting the entire American economy and revenue system.

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Speaker 2: I mean, you talked endlessly about President William McKinley, right,

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Speaker 2: and this was like the model for him, and obviously

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Speaker 2: our economy and the world wildly different from at that time.

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Speaker 2: I mean, now tariffs make up a completely inconsequential amount

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Speaker 2: of the federal revenue to back up our budget. At

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Speaker 2: that time, it was you know, there was no income

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Speaker 2: tax at that time, so it was a wildly different scenario.

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Speaker 2: And so yeah, I wouldn't be surprised if he does

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Speaker 2: go through with it. You know, Wall Street and a

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Speaker 2: lot of his Wall Street backers, first of all, they

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Speaker 2: were kind of relieved when he picked Chargery Secretary Scott Bessant.

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Speaker 2: There was a sense of like, Okay, this is like

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Speaker 2: one of us. He's not going to do anything too crazy.

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Speaker 2: And then the very you know, just a few days later,

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Speaker 2: he's announcing this tariff program, which again would be incredibly

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Speaker 2: I mean, catastrophic could be one word for it, but

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Speaker 2: certainly consequential. Jeff Stein is tweeting about just how significant

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Speaker 2: just this piece against these three countries would be. We

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Speaker 2: can put this up on the screen to get a

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Speaker 2: sense of the size that we're talking about here. He says,

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Speaker 2: Trump threatens twenty five percent teriffs on all Mexico imports.

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Speaker 2: And now again, this is just Mexico. The US imported

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Speaker 2: four hundred and seventy six billion dollars from Mexico last year,

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Speaker 2: more than any other country. A twenty five percent tariff

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Speaker 2: on the imports would translate into a roughly one hundred

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Speaker 2: billion dollar annual tax, or about one trillion dollars over

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Speaker 2: the next decade. The back of the envelope calculations I

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Speaker 2: saw people floating economists floating on Twitter, was that this

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Speaker 2: would likely amount to about one thousand dollars increase in

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Speaker 2: costs for every American household. So again, quite significant at

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Speaker 2: a time when Americans are saying that inflation is their

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Speaker 2: number one issue. So, you know, is he overreading his

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Speaker 2: mandate here or you know. I've also seen some on

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Speaker 2: the left say, you know, what, people might be able

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Speaker 2: to might be willing to put up with some increased

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Speaker 2: economic pain if they feel like, if they're convinced that

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Speaker 2: it's in service of something that will benefit them. I'm

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Speaker 2: skeptical of that logic, but I do want to, just

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Speaker 2: like playing Devil's advocate, put that out there.

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Speaker 3: I mean, I think that's worth mentioning because we saw

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Speaker 3: that with his China tariffs in his first administration, or

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Speaker 3: remember you would have all of these like kind of

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Speaker 3: do wee be mainstream media reporters going to talk to

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Speaker 3: farmers in the Midwest and asking them, you know, they

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Speaker 3: regret supporting Trump because of the tariffs, And what they

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Speaker 3: would say is, no, we actually are okay with a

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Speaker 3: little bit of pain. We want to see a light

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Speaker 3: at the end of the tunnel, Like we hope that

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Speaker 3: this isn't going to last all that much longer, but

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Speaker 3: we understand the kind of end goal and we support

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Speaker 3: the end goal. So that though on a mass scale

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Speaker 3: affecting you know, all of these different products so significantly. Yeah,

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Speaker 3: that's a little different. It is though. I think also

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Speaker 3: we're saying Scott Bessen was reportedly chosen over Howard Lutnik

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Speaker 3: because Donald Trump was worried about spooking the markets too much.

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Speaker 3: And that's what gives me a little bit more reason

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Speaker 3: to believe he's this is a starting point in negotiations.

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Speaker 3: But again, a starting point doesn't mean that there isn't

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Speaker 3: somewhere else he lands on that's still significant for some

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Speaker 3: period of time. So I mean, I think it's absolutely

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Speaker 3: like Jeff says this over and over again, it's absolutely

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Speaker 3: true that Trump is dead serious about using tariffs this way.

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Speaker 3: I think it's just a matter of how and how much.

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Speaker 2: Yeah, and again, just to go over some of the

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Speaker 2: key categories here. Crude oil, so gas prices, especially in

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Speaker 2: the Midwest. That's where a lot of the crude oil

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Speaker 2: for the Midwestern refineries comes from Canada. So gas prices

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Speaker 2: would almost certainly go up. Grocery prices on a lot

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Speaker 2: of fresh fruits and vegetables undoubtedly would go up. Building materials.

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Speaker 2: Another key thing that a significant amount of which comes

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Speaker 2: from Mexico and also some from Canada are auto parts,

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Speaker 2: so you know, goes into the assembly factories here for

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Speaker 2: cars and the major American automakers, so a lot. I mean,

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Speaker 2: Mexico is our number one trading partner, so obviously this

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Speaker 2: would be very significant. We're also getting some details from

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Speaker 2: what is the term for it, Attorney General nominee. I guess,

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Speaker 2: Pam BONDI, let's put this up on the screen. She's got.

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Speaker 2: We were asking the question yesterday Emily like who should

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Speaker 2: be worried under the Trump administration with regard to the

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Speaker 2: Department of Justice, Pam Bondi giving us our first indication. Here,

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Speaker 2: she says to Nancy Pelosi, salaries one hundred and seventy

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Speaker 2: five K, yet she has a net worth of two

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Speaker 2: hundred million dollars plus. I will investigate and prosecute to

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Speaker 2: the fullest extent of the law. Number one. Good, but

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Speaker 2: just go after everybody who's insider trading, Like, you know,

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Speaker 2: you may also want to look at Tommy Tubberville, who's

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Speaker 2: disclosed two hundred and fifty thousand dollars in futures trading wheat, corn, soil,

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Speaker 2: and cattle while he sits on the Senate Committee for Agriculture,

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Speaker 2: as one example, that's from unusual Wales. The other thing

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Speaker 2: is like, unfortunately, this kind of congressional insider stock trading

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Speaker 2: is perfectly legal. So I don't know if you actually

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Speaker 2: have the legal capability to go after any of these

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Speaker 2: people because Congress has of course insulated themselves from the

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Speaker 2: consequences of their own actions.

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Speaker 3: Well, yeah, which she would essentially have to be investigating

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Speaker 3: is violations of the Stock Act, a bill that Nancy

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Speaker 3: Pelosi kind of hilariously championed after being caught in the

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Speaker 3: It was like the late aughts doing some of this

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Speaker 3: or her husband doing some of this, and you would

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Speaker 3: just be investigating is basically whether or not they filed

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Speaker 3: on time. Like that's we've seen like late files like

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Speaker 3: people do that, and it actually seems it sucks, Yeah,

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Speaker 3: because you.

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Speaker 2: Can't slop on the rist. It's like a very small

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Speaker 2: fine if you don't file your disclosures on time.

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Speaker 3: Right, But to actually prove I mean, she's willing, she's

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Speaker 3: welcome to investigate and should investigate absolutely every single one

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Speaker 3: of the Republicans that is doing the exact same thing.

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Speaker 3: But she won't of course. But you know, if you're

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Speaker 3: doing that, it's almost impossible to prove insider trading. I mean,

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Speaker 3: it's just they're allowed to do so much of this.

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Speaker 3: And that's why you if you want to do something

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Speaker 3: meaningful on this, you have to chase legislation as attorney general,

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Speaker 3: champion legislation. Get if Republicans have the House in the Senate,

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Speaker 3: let's go bring it on.

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Speaker 2: Yeah, I'm not gonna hold my breath on that one.

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Speaker 2: M But the other thing is that sometimes just the investigation,

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Speaker 2: I mean, no one enjoys being investigated by the FED.

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Speaker 2: Like even if you're not ultimately charged. If they're doing

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Speaker 2: discovery and they're going through all your stuff and they're

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Speaker 2: you know, harassing you for your files, et cetera, that

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Speaker 2: can be you know, a weapon in and of itself.

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Speaker 2: And it's something that Trump used actually last term to

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Speaker 2: go after people like John Carrey and and others that

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Speaker 2: he considered to be you know, adversaries and enemies. Going

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Speaker 2: back to the economic piece, because this was also very significant. Obviously,

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Speaker 2: Trump on the campaign trail promising mass deportations. This was

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Speaker 2: one of his most reliable calls. They had the signs

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Speaker 2: up at the RNC that said mass deportation. Now some

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Speaker 2: of the farm groups that you know, we're big backers

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Speaker 2: of his, by the way, are now saying this doesn't

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Speaker 2: apply to us. Right when you were saying this whole

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Speaker 2: like deport everyone, you weren't talking about our workers that

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Speaker 2: we need on our farms, right. So this is from

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Speaker 2: Reuter's US farm groups want Trump to spare their workers

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Speaker 2: from deportation. The article reads, US farm industry groups want

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Speaker 2: present elect to spare their sector for the promise of

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Speaker 2: mass deportations, which could up end a food supply chain

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Speaker 2: heavily dependent on immigrants in the US illegally. So far,

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Speaker 2: Trump officials have not committed to any exemptions. Coordinated interviews

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Speaker 2: with farmer worker groups and Trump's incoming borders are Tom Homan.

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Speaker 2: Nearly half of the nation's approximately two million farm workers

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Speaker 2: lack legal status, according to the Departments of Labor and Agriculture,

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Speaker 2: as well as many dairy and meat packing workers. Mass

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Speaker 2: removal of farm workers would shock the food supply chain

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Speaker 2: and drive consumer grocery prices higher, said David Ortega, professor

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Speaker 2: of Food economics and Policy of Michigan State. A Republican

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Speaker 2: representative in California Central Valley, said farms in the area

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Speaker 2: depend on immigrants in the US illegally and that small

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Speaker 2: towns would collapse if those workers were deported. So, you know,

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Speaker 2: even if like with the mass deportation, there's no doubt

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Speaker 2: they're going to go forward with some level of mass deportation, right,

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Speaker 2: I don't think there's any doubt about that, and the

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Speaker 2: way they target at what it looks like like those

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Speaker 2: details we really don't have a great sense of. But

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Speaker 2: even if there's a dramatic show of that sort of

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Speaker 2: you know, force and deportation, people going into workplaces, et cetera,

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Speaker 2: et cetera. You know, that can cause a lot of

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Speaker 2: people to go into hiding or flee completely. And while

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Speaker 2: it's you know, it's really not good from a labor

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Speaker 2: perspective that you have so many workers who are working

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Speaker 2: under the table, oftentimes you know, below minimum wage employers

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Speaker 2: not following labor law like that is a terrible that's

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Speaker 2: a terrible situation for everyone and is something that you know,

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Speaker 2: in my opinion, we need to legalize these works to

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Speaker 2: bring them out in the shadows. But the fact remains,

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Speaker 2: if you have a mass exodus of this immigrant workforce

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Speaker 2: that our country at this point really relies upon, it

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Speaker 2: will have dramatic economic consequences and ties in with the

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Speaker 2: Tarff conversation too, because both of those things would have

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Speaker 2: huge inflationary effects actually on food, grocery prices, et cetera,

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Speaker 2: which again is what the American people are saying is

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Speaker 2: their top concern and priority right now.

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Speaker 3: It will it would absolutely be economically consequential. I think

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Speaker 3: it's one that is sort of it's such a tell

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Speaker 3: to the point you were just making on behalf of

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Speaker 3: the business community and Trump, by the way, Republicans overall

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Speaker 3: this last cycle got so much money from home builders

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Speaker 3: and building companies in general. If you look at the

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Speaker 3: industry as a whole, they gave a ton of money

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Speaker 3: to Republicans over the course of the last cycle, and

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Speaker 3: you could just like, you can see how it's going

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Speaker 3: to force them to come out and make more and

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Speaker 3: more statements like the ones they gave to Reuters, which

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Speaker 3: I see is kind of shameless, being like, yes, we

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Speaker 3: have the shadow workforce that we exploit. Please do not

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Speaker 3: touch them. It will you know, It's like they're holding

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Speaker 3: our economy hostage to their ability to exploit in mass

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Speaker 3: millions of workers. And so it's not great for them

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Speaker 3: to have to come out and talk about that, and

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Speaker 3: I think it would make the public more willing to

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Speaker 3: accept some of the economically detrimental consequences that said Crystal,

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Speaker 3: they I mean, this would be a big hit to

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Speaker 3: the economy. There's there's really no question about it. And

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Speaker 3: whether that's sustainable for Trump politically is a different question

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Speaker 3: than the sort of substance of whether our economy should

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Speaker 3: be built on this house of cards and what to

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Speaker 3: do with the workforce. I mean, it's a different question.

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Speaker 3: Would you know, let's say, in my perspective. I think

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Speaker 3: you would be able to get Americans. This is like

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Speaker 3: totally against conventional wisdom in Washington. I think you would

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Speaker 3: get Americans stepping up into those jobs if there were

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Speaker 3: you know, quote unquote mass deportations. But it would take

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Speaker 3: a long time.

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Speaker 2: Well, it would take much higher wages.

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Speaker 3: Much it would take much higher wages, and it would.

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Speaker 2: Take means much higher prices at the grocery store and

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Speaker 2: for building as well. We could put you could continue

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Speaker 2: to lay on your point, Emily, Well, let's just go

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Speaker 2: and put up on the screen. The industries where migrants

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Speaker 2: are incredibly significant to the labor force, and you know,

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Speaker 2: you can see here is across a wide variety of industries.

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Speaker 2: Landscaping they say, private households. I assume that things like

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Speaker 2: you know, nannies and housekeepers and that sort of thing.

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Speaker 2: Services to buildings and dwellings. Uh, crop production, you know,

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Speaker 2: meat packing, animal slaughtering, and processing. They say. Construction obviously

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Speaker 2: very significant. And these are all areas where there's been

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Speaker 2: a lot of sensitivity about prices. I mean, the cost

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Speaker 2: of building a new house has been a major topic

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Speaker 2: of conversation. So when you combine the tariffs on building

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Speaker 2: materials coming from Canada and the tariffs on you know,

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Speaker 2: agricultural products coming from Mexico with a you know, an

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Speaker 2: undermining of the workforce that we really rely on at

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Speaker 2: this point for a number of these industries. The immediate

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Speaker 2: impacts are going to be felt quite significantly in people's pocketbooks.

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Speaker 3: Yeah, And the only other thing I was going to

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Speaker 3: add is that it would take years to adjust to

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Speaker 3: a new workforce and there would be a lot of

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Speaker 3: economic pain over the course of that time as American workers.

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Speaker 3: I mean, if you really want to get American workers

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Speaker 3: into those jobs, obviously it's going to require higher wagers,

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Speaker 3: and it's also going to require like people being sold

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Speaker 3: on those positions and coming from different places in the life.

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Speaker 3: I mean, it's just a it's a huge societal cultural adjustment.

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Speaker 3: It's not just sort of a clickable a wand type thing. So, yeah,

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Speaker 3: economic pain either way.

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Speaker 2: On that right. Well, And the other thing is that,

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Speaker 2: you know, like most Western developed countries, we have an

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Speaker 2: aging population. We actually are beginning to see the signs

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Speaker 2: that we don't have enough workers for the jobs that

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Speaker 2: need to be filled in our society. Birth rate is declining,

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Speaker 2: and you know, the unemployment rate. Even if people are unsatisfied,

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Speaker 2: they're unhappy with the economy. But the unemployment rate is

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Speaker 2: quite low, labor force participation rate has gone up quite significantly.

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Speaker 2: The problem, as opposed to previous eras, isn't that there

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Speaker 2: aren't sufficient jobs. It's that those jobs aren't well paying enough.

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Speaker 2: And so you know, the constricting the labor force and

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Speaker 2: having fewer workers doesn't really solve the core problem that

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Speaker 2: people are concerned about. It actually could create a new

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Speaker 2: crisis where you just genuinely don't have sufficient people to

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Speaker 2: be able to fill all of the jobs. Now, does

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Speaker 2: that cause salaries to go up? Does that cause wages

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Speaker 2: to go up? That's possible, although even that is not

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Speaker 2: completely clear cut in terms of the studies that have

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Speaker 2: been done. But no doubt, I think you and I

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Speaker 2: are agreement. In the short term, it would be very painful.

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Speaker 2: It would be quite a shock, an economic shock. If

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Speaker 2: anything approaching what he's floating here, actually, you know, comes

435
00:22:47,960 --> 00:22:51,600
Speaker 2: to fruition. And again, you know, I think a lot

436
00:22:51,680 --> 00:22:54,760
Speaker 2: of the business community, obviously the farm industry groups, a

437
00:22:54,760 --> 00:22:56,840
Speaker 2: lot of Wall streeters who really got on board with

438
00:22:56,880 --> 00:22:59,760
Speaker 2: Trump this time. They didn't think he was really serious

439
00:22:59,760 --> 00:23:02,400
Speaker 2: about these things, you know, they fell a I said

440
00:23:02,400 --> 00:23:04,200
Speaker 2: a lot of stuff last time around, I didn't really

441
00:23:04,200 --> 00:23:06,440
Speaker 2: do a lot of it. So he says he talks

442
00:23:06,440 --> 00:23:08,120
Speaker 2: a big game, but when it comes down to it,

443
00:23:08,160 --> 00:23:10,400
Speaker 2: he's not going to do that much. And by the way,

444
00:23:10,480 --> 00:23:12,360
Speaker 2: Congress has to go along with it, and we've got

445
00:23:12,400 --> 00:23:16,439
Speaker 2: our paid off representatives there. We're going to be good. Meanwhile,

446
00:23:17,440 --> 00:23:20,439
Speaker 2: the people in his orbit have been thinking a lot

447
00:23:20,520 --> 00:23:23,400
Speaker 2: about how they can avoid any of the stumbling blocks

448
00:23:23,440 --> 00:23:25,720
Speaker 2: of last time howping you can avoid having to go

449
00:23:25,800 --> 00:23:31,480
Speaker 2: through Congress for money for mass deportation or for the

450
00:23:31,520 --> 00:23:35,159
Speaker 2: ability to institute a massive new tariff program. They have

451
00:23:35,320 --> 00:23:38,720
Speaker 2: legal theories and justifications ready to go. There's no guarantee

452
00:23:38,720 --> 00:23:40,720
Speaker 2: those all pass muster with the courts, but a good

453
00:23:40,760 --> 00:23:44,760
Speaker 2: many of them will. So, you know, I whether he

454
00:23:44,840 --> 00:23:47,200
Speaker 2: goes through with the full twenty five percent tariff, and

455
00:23:47,359 --> 00:23:50,840
Speaker 2: exactly the contours of this, we don't know. But I

456
00:23:50,840 --> 00:23:53,280
Speaker 2: think that people should take him seriously and take him

457
00:23:53,320 --> 00:23:57,040
Speaker 2: at his word that he plans to have this sort

458
00:23:57,080 --> 00:24:01,280
Speaker 2: of revolutionary style approach to the economy, which will be

459
00:24:01,359 --> 00:24:04,760
Speaker 2: incredibly consequential. And I think it's very different than what

460
00:24:04,920 --> 00:24:07,280
Speaker 2: a lot of the groups that backed him, thought they

461
00:24:07,280 --> 00:24:08,360
Speaker 2: were going to get with him.

462
00:24:09,440 --> 00:24:12,359
Speaker 3: And yeah, and put Scott Pesson in. So that was

463
00:24:12,359 --> 00:24:14,760
Speaker 3: supposed to be the kind of signal to Wall Street

464
00:24:15,280 --> 00:24:17,760
Speaker 3: that it wasn't going to be as wild and wacky

465
00:24:17,760 --> 00:24:20,399
Speaker 3: as maybe it would have been our under Howard Lutnik

466
00:24:20,440 --> 00:24:24,240
Speaker 3: as Treasury. But you know what that actually means. It's

467
00:24:24,320 --> 00:24:25,840
Speaker 3: just so hard to say right now because we've heard

468
00:24:25,840 --> 00:24:29,760
Speaker 3: so little from Bessett, and you know, it's Trump is Trump.

469
00:24:29,840 --> 00:24:31,320
Speaker 3: At the end of the day. You can fire people

470
00:24:31,320 --> 00:24:33,400
Speaker 3: that aren't following what he wants them to do.

471
00:24:33,880 --> 00:24:36,720
Speaker 2: Yeah, I mean, the key connective issue with the people

472
00:24:36,760 --> 00:24:38,960
Speaker 2: he put into place is he thinks they will all

473
00:24:39,040 --> 00:24:41,639
Speaker 2: be loyal to him, meaning they will do whatever he

474
00:24:41,680 --> 00:24:44,080
Speaker 2: wants them to do, and whether it's on tariffs or

475
00:24:44,080 --> 00:24:47,399
Speaker 2: whether it's on like overturning an election. That was the

476
00:24:47,720 --> 00:24:51,720
Speaker 2: primary test for the people he put into place. Just

477
00:24:51,800 --> 00:24:55,480
Speaker 2: one more note on that piece. There are some some

478
00:24:55,640 --> 00:24:58,480
Speaker 2: questions raised about Tulsea Gabbart that might be come up

479
00:24:58,560 --> 00:25:00,960
Speaker 2: during her confirmation hearing. So you can put this up

480
00:25:01,000 --> 00:25:04,440
Speaker 2: on the screen. This was an investigation from Mother Jones,

481
00:25:04,480 --> 00:25:07,120
Speaker 2: but a lot of interesting details here. She's got three

482
00:25:07,160 --> 00:25:10,200
Speaker 2: different packs and one nonprofit, and there's a lot of

483
00:25:10,280 --> 00:25:12,879
Speaker 2: questions about the money that she raised well over a

484
00:25:12,960 --> 00:25:16,040
Speaker 2: million dollars across these three packs and where it went.

485
00:25:16,160 --> 00:25:18,240
Speaker 2: It appears that most of it just went to like

486
00:25:18,800 --> 00:25:23,760
Speaker 2: you know, her aids, different consultants, fundraisers, etc. Very little

487
00:25:23,840 --> 00:25:26,680
Speaker 2: spent on the candidates that she you know, was supposed

488
00:25:26,720 --> 00:25:30,880
Speaker 2: to be endorsing and backing. And then her nonprofit called

489
00:25:30,960 --> 00:25:35,640
Speaker 2: We Must Protect There is no disclosure about where the

490
00:25:35,720 --> 00:25:38,600
Speaker 2: funds that were raised for that, what they actually went to,

491
00:25:38,640 --> 00:25:41,199
Speaker 2: what sort of charitable giving came out of that. So

492
00:25:41,359 --> 00:25:45,200
Speaker 2: in any case, some significant questions raised there about how

493
00:25:45,200 --> 00:25:48,960
Speaker 2: those funds were raised and spent That could become relevant

494
00:25:49,040 --> 00:25:52,399
Speaker 2: in a Senate confirmation hearing, especially because I think with

495
00:25:52,520 --> 00:25:55,439
Speaker 2: Tulsia in particular, you're going to have a lot of

496
00:25:55,560 --> 00:25:59,000
Speaker 2: Republicans who are a little leery of putting her in

497
00:25:59,080 --> 00:26:01,879
Speaker 2: the position maybe looking for, you know, different ways that

498
00:26:01,920 --> 00:26:07,840
Speaker 2: they could spike her nomination, spike her confirmation without like

499
00:26:07,920 --> 00:26:11,159
Speaker 2: sort of directly going at the national security concerns that

500
00:26:11,160 --> 00:26:12,199
Speaker 2: they have with regard to her.

501
00:26:13,080 --> 00:26:14,560
Speaker 3: Yeah, and you kind of peel the curtain back a

502
00:26:14,600 --> 00:26:19,240
Speaker 3: little bit for like people in media Crystal, we look

503
00:26:19,240 --> 00:26:20,640
Speaker 3: at a story like that. I think it's a story

504
00:26:20,680 --> 00:26:23,199
Speaker 3: that kind of is trying to build. It's kind of

505
00:26:23,200 --> 00:26:25,240
Speaker 3: planning a seed, and then you're trying to maybe get

506
00:26:25,280 --> 00:26:27,119
Speaker 3: other people to come in and be like, yes, I

507
00:26:27,160 --> 00:26:29,399
Speaker 3: have knowledge that X, Y and Z was done wrong

508
00:26:29,480 --> 00:26:31,480
Speaker 3: at this pack in that pack, because right now, it's

509
00:26:31,480 --> 00:26:34,640
Speaker 3: sort of a lot of smoke, I guess. I mean,

510
00:26:34,680 --> 00:26:36,800
Speaker 3: I don't know why somebody needs four packs, to be honest,

511
00:26:36,800 --> 00:26:38,640
Speaker 3: but one of them said that it would be Tulsi's

512
00:26:38,680 --> 00:26:41,760
Speaker 3: like primary vehicle for getting her message out blah blah blah,

513
00:26:41,800 --> 00:26:43,760
Speaker 3: meaning that it probably was like a lot of travel

514
00:26:43,960 --> 00:26:48,600
Speaker 3: and aids helping with communications and all of those types

515
00:26:48,640 --> 00:26:51,240
Speaker 3: of things as she campaigned in twenty twenty four. And

516
00:26:51,280 --> 00:26:53,320
Speaker 3: I'm not sure that the donors would be especially upset

517
00:26:53,320 --> 00:26:58,080
Speaker 3: about that. But four packs is quite it's quite interesting,

518
00:26:58,320 --> 00:27:00,240
Speaker 3: and maybe, you know, I think that was a even

519
00:27:00,280 --> 00:27:02,840
Speaker 3: corn story. Maybe he thinks there's more to kind of

520
00:27:02,840 --> 00:27:06,639
Speaker 3: build off of, but so far, I think there's just

521
00:27:06,680 --> 00:27:10,920
Speaker 3: so much more with Tulsa that'll be contentious with those

522
00:27:10,960 --> 00:27:13,760
Speaker 3: Republican senators who are you know, it's all gonna come

523
00:27:13,800 --> 00:27:16,920
Speaker 3: down to Syria basically, and talking the way she talks

524
00:27:16,920 --> 00:27:21,040
Speaker 3: about NATO, so that I think will be much more significant.

525
00:27:21,040 --> 00:27:22,200
Speaker 3: But maybe there's more here.

526
00:27:22,440 --> 00:27:24,960
Speaker 2: Yeah, could be. We'll see how that all unfolds. I

527
00:27:25,000 --> 00:27:26,840
Speaker 2: think that could be a very interesting one. And then

528
00:27:26,880 --> 00:27:30,679
Speaker 2: the other piece with a report like this is, you know,

529
00:27:30,720 --> 00:27:35,240
Speaker 2: the Senate would have more sort of investigatory powers to

530
00:27:35,280 --> 00:27:38,080
Speaker 2: be able to dig into whether if there's any fire

531
00:27:38,119 --> 00:27:40,080
Speaker 2: there where there's smoke. So I think you're right about it,

532
00:27:40,200 --> 00:27:42,000
Speaker 2: kind of planning a seed and a question mark in

533
00:27:42,000 --> 00:27:44,840
Speaker 2: people's minds to follow the trail for there. All right,

534
00:27:44,880 --> 00:27:47,359
Speaker 2: let's go ahead and get to how people are feeling

535
00:27:47,359 --> 00:27:52,119
Speaker 2: about the Trump transition. So I wanted to take a

536
00:27:52,119 --> 00:27:56,479
Speaker 2: look at a pretty interesting CNN segment taking dive into

537
00:27:56,560 --> 00:27:59,960
Speaker 2: how people are feeling about the Trump transition so far.

538
00:28:00,400 --> 00:28:01,760
Speaker 2: Harry Anton breaks down the numbers.

539
00:28:01,800 --> 00:28:04,879
Speaker 4: Let's take a listen President Trump's transition net approval. You

540
00:28:04,960 --> 00:28:06,879
Speaker 4: go back to November at twenty sixteen. Look at this,

541
00:28:07,200 --> 00:28:09,560
Speaker 4: it was just a plus one point, just a plus

542
00:28:09,600 --> 00:28:10,080
Speaker 4: one point.

543
00:28:10,119 --> 00:28:12,440
Speaker 3: That is well well well below.

544
00:28:12,240 --> 00:28:15,520
Speaker 4: The historical norm. Look get where we are today, significantly

545
00:28:15,600 --> 00:28:19,280
Speaker 4: higher plus eighteen points at seventeen points higher on the

546
00:28:19,280 --> 00:28:21,440
Speaker 4: presidential transition net approval rating.

547
00:28:21,600 --> 00:28:22,760
Speaker 3: The bottom line is this.

548
00:28:23,280 --> 00:28:26,480
Speaker 4: If eight years ago Americans were lukewarm on Donald Trump,

549
00:28:26,640 --> 00:28:28,680
Speaker 4: at this particular point, they're giving him much more of

550
00:28:28,680 --> 00:28:31,040
Speaker 4: the benefit of the doubt. A lot more Americans are

551
00:28:31,040 --> 00:28:33,560
Speaker 4: in love with this transition. This much more meets the

552
00:28:33,680 --> 00:28:37,000
Speaker 4: historical norms where normally presidents get that boost coming out

553
00:28:37,000 --> 00:28:39,240
Speaker 4: of their victory. And what we're seeing here is Donald

554
00:28:39,280 --> 00:28:43,520
Speaker 4: Trump's presidential transition is getting a thumbs up, And dare

555
00:28:43,560 --> 00:28:45,640
Speaker 4: I say two thumbs up from the American people.

556
00:28:45,920 --> 00:28:49,360
Speaker 2: So, Emily, what do you make of those numbers and

557
00:28:49,520 --> 00:28:53,560
Speaker 2: how significantly different they are from twenty sixteen when it was,

558
00:28:53,720 --> 00:28:55,920
Speaker 2: you know, and people were not really sure what was

559
00:28:55,960 --> 00:28:56,720
Speaker 2: going on with him?

560
00:28:57,240 --> 00:29:01,240
Speaker 3: Harry Anton just pounding that ghost energy clearly day in and.

561
00:29:01,240 --> 00:29:03,840
Speaker 2: Day out, you feeling that hue.

562
00:29:03,680 --> 00:29:06,600
Speaker 3: He So I don't know how much to read into

563
00:29:07,200 --> 00:29:09,520
Speaker 3: what this reflects the sentiments of the American voters, but

564
00:29:09,560 --> 00:29:12,680
Speaker 3: I think where we can focus is the change. I

565
00:29:12,720 --> 00:29:15,960
Speaker 3: do think like seeing twenty sixteen versus twenty twenty four

566
00:29:16,200 --> 00:29:20,000
Speaker 3: is interesting and I wonder crystal again sort of contraconventional

567
00:29:20,000 --> 00:29:25,040
Speaker 3: wisdom in Washington, if it's that, you know, the Robert F.

568
00:29:25,080 --> 00:29:27,560
Speaker 3: Kennedy Junior is not a man of the conservative movement.

569
00:29:27,920 --> 00:29:31,040
Speaker 3: Tulsea Gabbard is now very much in the conservative movement

570
00:29:31,040 --> 00:29:33,840
Speaker 3: that doesn't but does not come from that place. Trump's

571
00:29:33,880 --> 00:29:39,240
Speaker 3: cabinet in twenty sixteen was staffed with like vanilla Republicans.

572
00:29:39,320 --> 00:29:41,840
Speaker 3: I mean, he put Rex Tillerson in there, and I

573
00:29:41,880 --> 00:29:44,760
Speaker 3: guess that was interesting. It wasn't a very drain the

574
00:29:44,800 --> 00:29:47,520
Speaker 3: swamp move to just like pluck the Exon CEO. It's

575
00:29:47,640 --> 00:29:50,000
Speaker 3: one of my favorite Trump moves in terms of like

576
00:29:50,040 --> 00:29:52,840
Speaker 3: actually undermining the drain the swamp messaging, like we'll just

577
00:29:52,960 --> 00:29:54,920
Speaker 3: take the CEO of Exon and put them at the

578
00:29:54,960 --> 00:29:56,560
Speaker 3: State Department and have funny.

579
00:29:56,360 --> 00:29:58,280
Speaker 2: That is like the definition of the swamp right there.

580
00:29:58,880 --> 00:30:02,560
Speaker 3: Yees, it's this is so stupid. But on that note,

581
00:30:02,920 --> 00:30:06,120
Speaker 3: he was pretty much surrounding himself with conventional Republicans, and

582
00:30:06,160 --> 00:30:09,200
Speaker 3: this time around, I can see how a people just

583
00:30:09,240 --> 00:30:13,120
Speaker 3: have hired name recognition maybe and b there coming from

584
00:30:13,320 --> 00:30:17,440
Speaker 3: different places, so you're maybe getting a little bit more

585
00:30:17,480 --> 00:30:19,960
Speaker 3: like for example, Corey Booker has said he'll take RFK

586
00:30:20,080 --> 00:30:23,160
Speaker 3: Junior seriously, and that's maybe one of the most high

587
00:30:23,240 --> 00:30:26,760
Speaker 3: profile cabinet announcements. So it's one that people have heard

588
00:30:26,800 --> 00:30:28,880
Speaker 3: a lot about and I think Bertie Sanders has had

589
00:30:29,000 --> 00:30:33,520
Speaker 3: nice words for Tulsa Gabbard in recent days. So there's something. Yeah,

590
00:30:33,600 --> 00:30:35,560
Speaker 3: I think I have to go double track, but there's

591
00:30:35,560 --> 00:30:39,320
Speaker 3: something where you've had people reacting in a way that's

592
00:30:39,320 --> 00:30:42,840
Speaker 3: sort of like, Okay, maybe more people are hearing about

593
00:30:43,040 --> 00:30:46,080
Speaker 3: different coalition, different parts of the coalition coming together. That's

594
00:30:46,080 --> 00:30:47,520
Speaker 3: my best guess as to why it's hire.

595
00:30:48,160 --> 00:30:50,920
Speaker 2: Yeah, My best guess is there are three pieces here.

596
00:30:51,200 --> 00:30:54,080
Speaker 2: Number One, Trump is just a fixed your in American

597
00:30:54,120 --> 00:30:57,280
Speaker 2: political life now, So he is you know, there are

598
00:30:57,320 --> 00:30:59,680
Speaker 2: a lot of young people who have only known the Trump.

599
00:31:01,160 --> 00:31:06,520
Speaker 2: He is not this like aberration in American politics at

600
00:31:06,560 --> 00:31:09,400
Speaker 2: this point. So it makes sense that he would enjoy

601
00:31:09,480 --> 00:31:13,040
Speaker 2: this sort of typical honeymoon period that all presidents enjoy

602
00:31:13,200 --> 00:31:16,440
Speaker 2: because now he's sort of like a typical presidential figure,

603
00:31:17,400 --> 00:31:19,360
Speaker 2: even as you know, if you look at historical norms

604
00:31:19,400 --> 00:31:21,800
Speaker 2: and norms and his approach and whatever, obviously he's outside

605
00:31:21,840 --> 00:31:24,760
Speaker 2: of that. But in terms of recent political history, he

606
00:31:24,840 --> 00:31:26,680
Speaker 2: is now just sort of like, this is the norm

607
00:31:26,760 --> 00:31:29,640
Speaker 2: in American politics. So I think there's that. I think

608
00:31:29,760 --> 00:31:32,160
Speaker 2: the second piece, related to what you were saying, is

609
00:31:32,240 --> 00:31:35,480
Speaker 2: the Democratic Party approach has been very different. We're going

610
00:31:35,560 --> 00:31:39,240
Speaker 2: to cover in another block, how the quote unquote resistance

611
00:31:39,280 --> 00:31:43,040
Speaker 2: has gone quiet, Like the vibe from the Democratic Party

612
00:31:43,040 --> 00:31:47,240
Speaker 2: and a lot of corners is more like capitulation than resistance.

613
00:31:47,800 --> 00:31:50,480
Speaker 2: And just as we saw with you know, the numbers

614
00:31:50,520 --> 00:31:52,880
Speaker 2: on immigration, when you had both parties sort of accepting

615
00:31:52,920 --> 00:31:57,800
Speaker 2: the same framework ideological framework around immigration, you saw the

616
00:31:57,880 --> 00:32:00,920
Speaker 2: numbers really dramatically shift. I think it's the same thing.

617
00:32:00,960 --> 00:32:03,600
Speaker 2: If you have both parties basically saying like, well, always

618
00:32:03,600 --> 00:32:05,760
Speaker 2: making some decisions that are I'm okay with and I'm

619
00:32:05,800 --> 00:32:08,520
Speaker 2: open to, etc. Then yeah, you're gonna have a public

620
00:32:08,560 --> 00:32:10,840
Speaker 2: perception that like, oh, this seems to be going pretty well.

621
00:32:11,360 --> 00:32:12,920
Speaker 2: And then the last thing, and I actually think this

622
00:32:13,000 --> 00:32:16,960
Speaker 2: is probably the most important point, is that Joe Biden

623
00:32:17,040 --> 00:32:20,320
Speaker 2: is so feeble and the Democratic Party in general is

624
00:32:20,400 --> 00:32:24,240
Speaker 2: so feeble and incapable of making a decision and taking

625
00:32:24,280 --> 00:32:27,600
Speaker 2: any action. Just the sense of like, oh, there's a

626
00:32:27,600 --> 00:32:29,920
Speaker 2: lot of things happening and like a lot of decisions

627
00:32:29,960 --> 00:32:34,760
Speaker 2: are being made. I think, irrespective of whether those decisions

628
00:32:34,840 --> 00:32:38,600
Speaker 2: are good, bad, or indifferent, just the sense of action

629
00:32:39,120 --> 00:32:42,320
Speaker 2: feels good to people. You know that someone is doing

630
00:32:42,640 --> 00:32:46,680
Speaker 2: something and making decisions and they're bold, and they're controversial,

631
00:32:46,720 --> 00:32:49,960
Speaker 2: and they're taking charge. Now does that last once those

632
00:32:49,960 --> 00:32:52,280
Speaker 2: decisions actually have real work consequences, as we were talking

633
00:32:52,280 --> 00:32:55,240
Speaker 2: about before with the tariffs, in the way that deportations

634
00:32:55,560 --> 00:32:58,880
Speaker 2: may feel in reality versus how you imagine them to

635
00:32:58,960 --> 00:33:02,640
Speaker 2: be in you know, the abstract, that's a very different question.

636
00:33:02,960 --> 00:33:05,040
Speaker 2: But I do think that people are reacting to just

637
00:33:05,080 --> 00:33:07,720
Speaker 2: the sense of like decisions are being made, and they're

638
00:33:07,720 --> 00:33:11,600
Speaker 2: being made quickly, and they're being made decisively, and you know,

639
00:33:11,760 --> 00:33:17,040
Speaker 2: that vibe, especially in contrast to a completely enfeebled Joe Biden,

640
00:33:17,480 --> 00:33:19,680
Speaker 2: is creating a really positive impression.

641
00:33:20,200 --> 00:33:22,040
Speaker 3: Yeah, the point about Biden is a really good one.

642
00:33:22,120 --> 00:33:24,479
Speaker 3: And I think actually what people were recirculating was an

643
00:33:24,480 --> 00:33:26,880
Speaker 3: old Bernie comment about Tulsa. Obviously they used to be

644
00:33:26,960 --> 00:33:30,320
Speaker 3: very close. So I retract that statement. Okay, you know,

645
00:33:30,560 --> 00:33:33,320
Speaker 3: the point remains, it's obviously people who come from different parts,

646
00:33:33,280 --> 00:33:35,680
Speaker 3: since it's not just a bunch of vanilla Republicans who

647
00:33:35,680 --> 00:33:38,120
Speaker 3: are being slotted into these cabinet positions this time around.

648
00:33:38,120 --> 00:33:41,040
Speaker 3: There are of course some Venida Republicans' for sure, that's

649
00:33:41,320 --> 00:33:45,720
Speaker 3: for sure. I think that's very crystal that some of

650
00:33:45,720 --> 00:33:48,240
Speaker 3: it is just a comparison with the Biden administration. And

651
00:33:48,280 --> 00:33:50,080
Speaker 3: the only other thing I was thinking of you as

652
00:33:50,080 --> 00:33:52,120
Speaker 3: you were talking that was interesting is if you remember

653
00:33:52,160 --> 00:33:54,640
Speaker 3: back in twenty sixteen, there was a frenzy every single

654
00:33:54,720 --> 00:33:58,200
Speaker 3: day about all of Donald Trump's tweets, and he just

655
00:33:58,360 --> 00:34:01,680
Speaker 3: posts into the ether on social now, like even sometimes

656
00:34:01,680 --> 00:34:04,920
Speaker 3: on Twitter, and it doesn't they're not making news cycles

657
00:34:04,960 --> 00:34:06,840
Speaker 3: like they used to. There was just this sense of

658
00:34:07,320 --> 00:34:12,000
Speaker 3: horror and norm shattering that you were talking about, how

659
00:34:12,000 --> 00:34:15,279
Speaker 3: he's been normalized and the country's been sort of acclimated

660
00:34:15,360 --> 00:34:17,600
Speaker 3: to trump Ism. But even just the way that could

661
00:34:17,600 --> 00:34:21,839
Speaker 3: be shifting public opinion, because those is worthwhile to think

662
00:34:21,840 --> 00:34:24,800
Speaker 3: about because those individual tweets, I mean, Paul Ryan would

663
00:34:24,800 --> 00:34:28,320
Speaker 3: make a news cycle by his response his non response

664
00:34:28,360 --> 00:34:31,240
Speaker 3: to the tweets back in that time, like twenty seventeen.

665
00:34:31,560 --> 00:34:33,800
Speaker 3: And now it's like, we all just understand that Donald

666
00:34:33,840 --> 00:34:37,920
Speaker 3: Trump is posting into the ether and that's how it's

667
00:34:37,920 --> 00:34:40,600
Speaker 3: going to be, and we don't have to panic over everything.

668
00:34:40,600 --> 00:34:44,719
Speaker 2: He says, yeah, yeah, you know, my memory is not

669
00:34:44,800 --> 00:34:47,680
Speaker 2: all that great, But I also remember in twenty sixteen,

670
00:34:47,880 --> 00:34:49,960
Speaker 2: all kinds of like sort of chaotic things happen that

671
00:34:50,040 --> 00:34:53,799
Speaker 2: weird like dinner with Mitt Romney and drama on Kushner

672
00:34:54,040 --> 00:34:57,959
Speaker 2: and Chris Christie, and so I'm sure that also didn't

673
00:34:57,960 --> 00:35:00,680
Speaker 2: feed like the most positive impression of the potence with

674
00:35:00,719 --> 00:35:03,520
Speaker 2: which the transition was unfolding, because I mean, I don't

675
00:35:03,520 --> 00:35:05,480
Speaker 2: think they thought they were going to win, so they

676
00:35:05,480 --> 00:35:10,200
Speaker 2: were really dramatically unprepared to go forward and actually staff

677
00:35:10,239 --> 00:35:13,040
Speaker 2: an administration. And I think that kind of showed. And

678
00:35:13,120 --> 00:35:15,520
Speaker 2: this time around, they did expect to win, and they

679
00:35:15,560 --> 00:35:18,000
Speaker 2: have been preparing to win, and you know, so he

680
00:35:18,160 --> 00:35:20,239
Speaker 2: was ready out of the gates with here's here's what

681
00:35:20,280 --> 00:35:22,239
Speaker 2: I'm going to do, Here's who I want, this is

682
00:35:22,239 --> 00:35:24,240
Speaker 2: how we're going to do it. This is the policies

683
00:35:24,239 --> 00:35:26,319
Speaker 2: we're going to put into place. These are the day

684
00:35:26,320 --> 00:35:29,319
Speaker 2: one executive actions. And like I said, when those things

685
00:35:29,360 --> 00:35:34,000
Speaker 2: actually hit and we see these people leading agencies and

686
00:35:34,280 --> 00:35:37,040
Speaker 2: these you know, executive actions going into place and what

687
00:35:37,080 --> 00:35:39,160
Speaker 2: they actually mean for the country and people's lives, it

688
00:35:39,160 --> 00:35:42,200
Speaker 2: may be a very very different story. But right now,

689
00:35:42,200 --> 00:35:44,480
Speaker 2: in the abstract, it's like, Oh, he's taking action. That's

690
00:35:44,520 --> 00:35:45,160
Speaker 2: what I want him to do.

691
00:35:45,880 --> 00:35:48,120
Speaker 3: Mm hmm, Yeah, I think that's true, Crystal.

692
00:35:48,880 --> 00:35:51,000
Speaker 2: So I wanted to get to this, Emily and get

693
00:35:51,040 --> 00:35:53,600
Speaker 2: your thoughts on this, because I think this conversation is

694
00:35:53,719 --> 00:35:55,880
Speaker 2: very interesting and also has really important implications for the

695
00:35:55,880 --> 00:35:58,719
Speaker 2: future of both the Democratic and the Republican parties, which

696
00:35:58,840 --> 00:36:02,440
Speaker 2: is that some people been floating this sense that Trump

697
00:36:02,480 --> 00:36:05,560
Speaker 2: may be kind of a unique figure to the Republican

698
00:36:05,600 --> 00:36:08,479
Speaker 2: Party in terms of the coalition of voters he's able

699
00:36:08,520 --> 00:36:12,359
Speaker 2: to pull together in the same way that Barack Obama

700
00:36:12,400 --> 00:36:15,880
Speaker 2: was a unique figure in the Democratic Party with the

701
00:36:15,880 --> 00:36:19,040
Speaker 2: coalition that he was able to pull together. One of

702
00:36:19,040 --> 00:36:22,080
Speaker 2: the earliest signs of those parallels that obviously we're not

703
00:36:22,120 --> 00:36:25,600
Speaker 2: saying they're like the same ideologically or stylistically, just in

704
00:36:25,719 --> 00:36:30,320
Speaker 2: terms of their sort of political impact, uniquely felt political

705
00:36:30,400 --> 00:36:33,560
Speaker 2: impact and coalition building. One of the earliest indications we

706
00:36:33,600 --> 00:36:36,640
Speaker 2: got of that was after election night, we saw there

707
00:36:36,680 --> 00:36:41,360
Speaker 2: were a significant number of voters who voted for Donald

708
00:36:41,360 --> 00:36:44,080
Speaker 2: Trump and didn't vote for anyone else, left the rest

709
00:36:44,080 --> 00:36:46,960
Speaker 2: of the ballot blank. We saw the way that even

710
00:36:46,960 --> 00:36:49,800
Speaker 2: though Donald Trump was able to obviously be very successful

711
00:36:49,840 --> 00:36:53,000
Speaker 2: for himself and you know, win the popular vote and

712
00:36:53,040 --> 00:36:55,799
Speaker 2: win all the battle ground states, he didn't really have

713
00:36:55,840 --> 00:37:00,239
Speaker 2: big coattails. Most of the Senate Republican candidates in the

714
00:37:00,280 --> 00:37:04,960
Speaker 2: swing states lost. The exception was McCormick in Pennsylvania, where

715
00:37:04,960 --> 00:37:09,160
Speaker 2: it was extremely, extremely narrow. And it was a similar

716
00:37:09,200 --> 00:37:11,560
Speaker 2: thing with Barack Obama. Actually two thousand and eight, Barack

717
00:37:11,560 --> 00:37:14,239
Speaker 2: Obama did have significant cotails, but after that he was

718
00:37:14,280 --> 00:37:18,759
Speaker 2: famously unable to translate his popularity into popularity for the

719
00:37:18,760 --> 00:37:21,960
Speaker 2: Democratic Party. He was not able to confer his popularity

720
00:37:22,000 --> 00:37:25,319
Speaker 2: onto his would be successor, Hillary Clinton, et cetera. And

721
00:37:25,360 --> 00:37:27,440
Speaker 2: so it does raise this question of whether Donald Trump

722
00:37:27,480 --> 00:37:29,920
Speaker 2: is the sort of unique figure in the Republican Party

723
00:37:30,239 --> 00:37:33,640
Speaker 2: and whether moving forward, whether Shady Vance or Ron de

724
00:37:33,719 --> 00:37:36,760
Speaker 2: Santas or whoever is the standard bearer going forward, whether

725
00:37:36,800 --> 00:37:39,720
Speaker 2: they will be able to keep together this very unique

726
00:37:39,840 --> 00:37:42,040
Speaker 2: coalition that has come out for Donald Trump.

727
00:37:43,280 --> 00:37:49,080
Speaker 3: I mean, this is the trillion dollar question. It's so

728
00:37:49,120 --> 00:37:55,120
Speaker 3: significant because I cannot envision another Republican being able to

729
00:37:55,320 --> 00:37:58,239
Speaker 3: do what Donald Trump did on Rogan, being able to

730
00:37:58,239 --> 00:38:00,799
Speaker 3: do what Donald Trump did on the Oban. JD. Vance

731
00:38:00,880 --> 00:38:04,240
Speaker 3: literally did that, but it was it's not Donald Trump,

732
00:38:04,360 --> 00:38:07,759
Speaker 3: and it's not Donald Trump in Florida getting a significant

733
00:38:07,800 --> 00:38:10,560
Speaker 3: percentage of the vote and getting new demographic ships and

734
00:38:10,600 --> 00:38:13,000
Speaker 3: all of that and then a big chunk of the

735
00:38:13,040 --> 00:38:17,520
Speaker 3: state also voting to legalize weed and trying abortion rights

736
00:38:17,560 --> 00:38:20,279
Speaker 3: in the state constitution. I just don't know if there's

737
00:38:20,280 --> 00:38:23,640
Speaker 3: another Republican waiting in the wings. That Donald Trump is

738
00:38:23,640 --> 00:38:26,640
Speaker 3: a singular and that's in some ways a compliment to him,

739
00:38:26,800 --> 00:38:30,000
Speaker 3: and in some ways it's like Republicans are totally screwed

740
00:38:30,000 --> 00:38:33,680
Speaker 3: after Trump because there's nobody. There's nobody that could do

741
00:38:33,800 --> 00:38:37,560
Speaker 3: the Madison Square Garden rally that has you know, and

742
00:38:38,040 --> 00:38:40,960
Speaker 3: by the way, that having watched the entire thing, like

743
00:38:41,120 --> 00:38:44,319
Speaker 3: was the Tony Hinchcliffe thing helpful? Probably not, but it

744
00:38:44,480 --> 00:38:50,480
Speaker 3: was very like there was something really politically amazing about

745
00:38:50,600 --> 00:38:54,520
Speaker 3: seeing these random people coming together under the banner of

746
00:38:54,520 --> 00:38:57,920
Speaker 3: trump Ism. They don't really care about the Republican Party.

747
00:38:58,560 --> 00:39:01,800
Speaker 3: That's does it significant problem for Republicans right now? I

748
00:39:01,800 --> 00:39:04,040
Speaker 3: don't think it's Don Junior. I just don't know that

749
00:39:04,040 --> 00:39:05,719
Speaker 3: there's anybody that can do what he did.

750
00:39:06,280 --> 00:39:09,000
Speaker 2: Yeah, I mean, you know, one of the things the

751
00:39:09,080 --> 00:39:13,120
Speaker 2: parallels to between Trump and Obama is obviously Trump is

752
00:39:13,120 --> 00:39:16,480
Speaker 2: a celebrity, right has been known to American public for

753
00:39:16,560 --> 00:39:21,640
Speaker 2: decades as a celebrity. Obama wasn't a celebrity, but in

754
00:39:21,680 --> 00:39:24,000
Speaker 2: a certain sense he kind of was, like he ended

755
00:39:24,080 --> 00:39:27,799
Speaker 2: up being more of a celebrity figure, this sort of

756
00:39:27,880 --> 00:39:29,640
Speaker 2: especially in two thousand and eight, this kind of like

757
00:39:29,719 --> 00:39:33,520
Speaker 2: political rock star figure that people thought it was like

758
00:39:33,640 --> 00:39:38,080
Speaker 2: cool and edgy to associate with. He was only in

759
00:39:38,080 --> 00:39:40,280
Speaker 2: the Senate for how many years before he ran for president,

760
00:39:40,400 --> 00:39:42,880
Speaker 2: so he became more of a cultural figure and you

761
00:39:42,920 --> 00:39:45,960
Speaker 2: see that in his post presidency too, than a typical

762
00:39:46,440 --> 00:39:50,080
Speaker 2: political figure. And so in some ways I think they

763
00:39:50,120 --> 00:39:53,640
Speaker 2: also share that in common. And you know, I don't

764
00:39:53,640 --> 00:39:56,719
Speaker 2: want to like this can sound like cope from the

765
00:39:56,719 --> 00:39:58,400
Speaker 2: Democratic side of like, all right, well we'll just get

766
00:39:58,440 --> 00:40:00,040
Speaker 2: Trump dout and then we're gonna be good again. And

767
00:40:01,239 --> 00:40:03,000
Speaker 2: I don't think that's true. I think the Democratic Party

768
00:40:03,040 --> 00:40:04,759
Speaker 2: has a lot of problems that they have to work through,

769
00:40:04,800 --> 00:40:08,160
Speaker 2: and they also don't have any like Obama level popular figure.

770
00:40:08,200 --> 00:40:09,719
Speaker 2: As we're going to talk about how Kamala Harrison is

771
00:40:09,800 --> 00:40:12,279
Speaker 2: that you maybe she'll run again. They've got a lot

772
00:40:12,320 --> 00:40:14,520
Speaker 2: of work that they need to do, and they need

773
00:40:14,560 --> 00:40:21,960
Speaker 2: to find much more compelling, controversial, like outspoken, charismatic, funny,

774
00:40:22,120 --> 00:40:27,320
Speaker 2: whatever character that can can carry the mantle for the party.

775
00:40:27,440 --> 00:40:29,600
Speaker 2: So they've obviously got a lot of work to do.

776
00:40:30,160 --> 00:40:32,360
Speaker 2: But I just remember in two thousand and eight, and

777
00:40:32,400 --> 00:40:34,720
Speaker 2: I felt this too, because I voted for Barack Obama,

778
00:40:34,840 --> 00:40:36,719
Speaker 2: actually voted for Hillary in the primary, and that's kind

779
00:40:36,719 --> 00:40:38,600
Speaker 2: of cringe. But anyway, I voted for but she.

780
00:40:38,560 --> 00:40:42,799
Speaker 3: Was running a strong progressive pro union that she was

781
00:40:42,840 --> 00:40:43,239
Speaker 3: doing it.

782
00:40:43,520 --> 00:40:45,480
Speaker 2: Yeah, well I thought she was better on she actually

783
00:40:45,560 --> 00:40:47,799
Speaker 2: her healthcare plan was better than him. But anyway, put that,

784
00:40:47,840 --> 00:40:50,279
Speaker 2: we'll put that in the past. That in the past,

785
00:40:50,280 --> 00:40:53,000
Speaker 2: We'll put my cringe Democratic party views in the paths.

786
00:40:53,040 --> 00:40:58,080
Speaker 2: But you know, when he was elected, there was a

787
00:40:58,160 --> 00:41:02,040
Speaker 2: sense of like it's over for the Republicans, Like they're

788
00:41:02,080 --> 00:41:04,640
Speaker 2: never gonna win again. Look at this coalition he but

789
00:41:04,640 --> 00:41:08,400
Speaker 2: look at young people, look at like all these shifts

790
00:41:08,440 --> 00:41:11,680
Speaker 2: towards the Democrats. Look at him winning in Indiana, look

791
00:41:11,719 --> 00:41:16,360
Speaker 2: at him winning in Iowa. Like these groups, the coalition

792
00:41:16,480 --> 00:41:18,880
Speaker 2: of the Ascendant, it's only going to get larger, and

793
00:41:18,920 --> 00:41:23,239
Speaker 2: Democrats are only going to win larger and larger victories.

794
00:41:23,600 --> 00:41:26,000
Speaker 2: You know, there was this sense that it was like

795
00:41:26,160 --> 00:41:28,880
Speaker 2: it was over for Republicans. And it wasn't just Democrats

796
00:41:28,920 --> 00:41:30,799
Speaker 2: that thought that, Like Republicans kind of thought that too.

797
00:41:30,840 --> 00:41:32,640
Speaker 2: They were like, damn, we're kind of screwed right now.

798
00:41:33,160 --> 00:41:35,600
Speaker 2: And then two years later, twenty ten comes around and

799
00:41:35,840 --> 00:41:38,520
Speaker 2: massive shillacking in the mid terms. Obama obviously is able

800
00:41:38,560 --> 00:41:41,080
Speaker 2: to get himself reelected in twenty twelve, just as Trump

801
00:41:41,120 --> 00:41:43,719
Speaker 2: was able to get himself reelected this time around. But

802
00:41:43,800 --> 00:41:46,640
Speaker 2: in twenty sixteen, guess what, Donald Trump comes to town.

803
00:41:47,200 --> 00:41:53,120
Speaker 2: So I guess the point here is just that the triumphalism,

804
00:41:53,200 --> 00:41:56,600
Speaker 2: the sense of inevitability that exists right now, a lot

805
00:41:56,640 --> 00:41:59,239
Speaker 2: can change in politics. Let's put a nine up on

806
00:41:59,239 --> 00:42:02,040
Speaker 2: the screen that just shows the shifts from twenty twelve,

807
00:42:02,080 --> 00:42:07,200
Speaker 2: which you know, talk about bracing for the Democratic Party.

808
00:42:07,920 --> 00:42:11,680
Speaker 2: Look at the way that since twenty twelve, these are

809
00:42:11,719 --> 00:42:16,800
Speaker 2: the shifts towards Republicans. Black voters R plus nineteen, Hispanic

810
00:42:16,880 --> 00:42:20,120
Speaker 2: voters R plus twenty nine, Asian voters R plus seventeen.

811
00:42:20,520 --> 00:42:25,000
Speaker 2: Other voters are plus seventeen. White no degree are plus thirteen.

812
00:42:25,200 --> 00:42:28,239
Speaker 2: It's kind of funny because that's the group that is

813
00:42:29,280 --> 00:42:32,000
Speaker 2: portrayed as having shifted the most, and they're one of

814
00:42:32,000 --> 00:42:33,880
Speaker 2: the groups that has actually shifted the list. So that's

815
00:42:33,960 --> 00:42:36,480
Speaker 2: kind of an interesting note. But non white with a

816
00:42:36,520 --> 00:42:39,680
Speaker 2: bachelor's R plus twenty one, non white no degree R

817
00:42:39,719 --> 00:42:44,879
Speaker 2: plus thirty seven. So you know, these shifts obviously, if

818
00:42:44,880 --> 00:42:48,400
Speaker 2: they continue, like the Democratic Party is basically dead. But

819
00:42:48,480 --> 00:42:51,280
Speaker 2: twenty twelve, of course, the last time that Barack Obama

820
00:42:51,320 --> 00:42:54,040
Speaker 2: was on the ballot, So it's pretty pretty wild to

821
00:42:54,040 --> 00:42:56,480
Speaker 2: see how much can change in politics just over the

822
00:42:56,480 --> 00:42:57,680
Speaker 2: course of a single decade.

823
00:42:58,160 --> 00:43:01,440
Speaker 3: Well, and again, I just don't think there's anybody who's

824
00:43:01,520 --> 00:43:05,560
Speaker 3: getting the votes of you know, all of these people

825
00:43:05,600 --> 00:43:07,840
Speaker 3: in Florida, for example, that are going to vote to

826
00:43:07,960 --> 00:43:11,399
Speaker 3: enshrine abortion too the state constitution. I don't think Jade

827
00:43:11,480 --> 00:43:15,000
Speaker 3: Vance is getting as many people as Donald Trump is,

828
00:43:15,160 --> 00:43:18,640
Speaker 3: and that's going to matter. Donald Trump looks like he's

829
00:43:18,719 --> 00:43:21,400
Speaker 3: going to win the popular vote, but by a tiny margin.

830
00:43:21,600 --> 00:43:25,080
Speaker 3: So that's I mean, that's a it's not an insignificant thing.

831
00:43:25,120 --> 00:43:27,520
Speaker 3: And if we put a ten up. This is a

832
00:43:27,560 --> 00:43:30,399
Speaker 3: Financial Times analysis that I think is maybe a little

833
00:43:30,440 --> 00:43:34,799
Speaker 3: bit flawed about how Democrat political elites, as they put it,

834
00:43:35,160 --> 00:43:38,680
Speaker 3: have started to diverge culturally from the median voter over

835
00:43:38,719 --> 00:43:40,640
Speaker 3: the course of the last ten years, and what they're

836
00:43:40,760 --> 00:43:45,640
Speaker 3: using as cultural issues. It's a lot of immigration and

837
00:43:45,760 --> 00:43:49,160
Speaker 3: policing in particular, and we've seen this in other immigration

838
00:43:49,239 --> 00:43:53,239
Speaker 3: analysis that it's just been really significant the drift. But

839
00:43:53,440 --> 00:43:56,719
Speaker 3: also one of the things that the Financial Times has

840
00:43:56,760 --> 00:44:01,960
Speaker 3: found in this analysis is that Democrats are as no

841
00:44:02,040 --> 00:44:05,680
Speaker 3: longer being associated with the working class. They are being

842
00:44:05,800 --> 00:44:09,880
Speaker 3: associated more with sociocultural issues than with class and economic

843
00:44:09,960 --> 00:44:12,520
Speaker 3: solidarity than they had in the past. And the only

844
00:44:12,560 --> 00:44:15,680
Speaker 3: other thing worth mentioning here is that the drift on

845
00:44:15,840 --> 00:44:20,320
Speaker 3: cultural issues between elites and your median voter was especially

846
00:44:20,320 --> 00:44:24,680
Speaker 3: acute with minority voters. And so you know that's policing

847
00:44:24,760 --> 00:44:27,600
Speaker 3: is on obvious. Policing and immigration are two very obvious

848
00:44:27,640 --> 00:44:31,359
Speaker 3: issues that would where you would see that divergence. And

849
00:44:31,680 --> 00:44:34,759
Speaker 3: I don't know, Crystal. I think Democrats are probably on

850
00:44:34,960 --> 00:44:39,080
Speaker 3: track to find a better way to have those conversations.

851
00:44:39,120 --> 00:44:41,359
Speaker 3: And I say better politically, I'm not talking about better

852
00:44:41,400 --> 00:44:44,640
Speaker 3: necessarily in substance, but it's that to me doesn't seem

853
00:44:44,719 --> 00:44:49,160
Speaker 3: to be such an incredible sisifian task ahead of Democrats

854
00:44:49,719 --> 00:44:52,000
Speaker 3: to at least message better on those issues.

855
00:44:52,400 --> 00:44:55,360
Speaker 2: Yeah, sometimes I think that this screen in particular that

856
00:44:55,400 --> 00:44:57,280
Speaker 2: we have up right now, it can be a little

857
00:44:57,960 --> 00:45:00,680
Speaker 2: misleading because you could pull a totally different set of

858
00:45:00,719 --> 00:45:05,560
Speaker 2: issues like you know, abortion with no exceptions, getting rid

859
00:45:05,600 --> 00:45:08,719
Speaker 2: of IVF, still not supporting gay marriage, which are all

860
00:45:08,760 --> 00:45:11,840
Speaker 2: positions that many Republicans in the party today still hold,

861
00:45:12,239 --> 00:45:15,680
Speaker 2: and it will also be dramatically unpopular, dramatically out of

862
00:45:15,719 --> 00:45:17,840
Speaker 2: step with the public, not to mention, you know, stop

863
00:45:17,880 --> 00:45:22,200
Speaker 2: the steal, also dramatically unpopular. So in some sense it's

864
00:45:22,239 --> 00:45:27,279
Speaker 2: a race to figure out which candidate can overcome their

865
00:45:27,400 --> 00:45:31,000
Speaker 2: unpopular positions. And I think the second graph that you

866
00:45:31,040 --> 00:45:34,719
Speaker 2: were talking about gets much closer to the core of

867
00:45:34,760 --> 00:45:38,759
Speaker 2: the problem, which is the issue isn't necessarily there, you know,

868
00:45:38,840 --> 00:45:41,760
Speaker 2: where they pull on this or that issue. It's more

869
00:45:42,080 --> 00:45:45,440
Speaker 2: that they have been successfully because they have abandoned a

870
00:45:45,480 --> 00:45:50,200
Speaker 2: lot of their working class orientation on economics. They become

871
00:45:50,239 --> 00:45:55,040
Speaker 2: associated solely with those cultural positions. So, you know, obviously

872
00:45:55,080 --> 00:45:57,080
Speaker 2: I use the example of Bernie Sanders, but I do

873
00:45:57,120 --> 00:46:00,160
Speaker 2: think it's a really illustrative example. Bernie Sanders is as

874
00:46:00,200 --> 00:46:03,120
Speaker 2: left on any of these issues as you can effectively be,

875
00:46:03,719 --> 00:46:06,440
Speaker 2: and yet he has so much credibility on working class

876
00:46:06,480 --> 00:46:08,319
Speaker 2: issues that people are like, yeah, but I know what

877
00:46:08,440 --> 00:46:10,920
Speaker 2: he's really concerned about, And it has a lot to

878
00:46:10,960 --> 00:46:12,759
Speaker 2: do with me and my family and how we're going

879
00:46:12,800 --> 00:46:16,160
Speaker 2: to get ahead. Andy Wassheer another example of that in Kentucky, Right,

880
00:46:16,239 --> 00:46:20,920
Speaker 2: Kentucky veried very religious and very conservative state, and yet

881
00:46:20,960 --> 00:46:24,680
Speaker 2: he actually vetoed some of the anti trans legislation that

882
00:46:24,760 --> 00:46:28,799
Speaker 2: was coming out of the Republican legislature, knowing that would

883
00:46:28,800 --> 00:46:33,000
Speaker 2: be very unpopular. But people voted for him anyway and

884
00:46:33,040 --> 00:46:35,799
Speaker 2: re elected him in the state of Kentucky because he

885
00:46:35,880 --> 00:46:40,719
Speaker 2: had so clearly delivered from them on affordable healthcare, on jobs,

886
00:46:40,840 --> 00:46:44,600
Speaker 2: on union jobs in particular, attracted a lot of auto

887
00:46:45,080 --> 00:46:49,959
Speaker 2: industry investment into the state, and so they felt like, Okay, well, yeah,

888
00:46:50,000 --> 00:46:52,120
Speaker 2: he's you know, I don't agree with him on these issues,

889
00:46:52,160 --> 00:46:55,680
Speaker 2: but that's not really what he's all about. So, you know,

890
00:46:55,719 --> 00:46:58,960
Speaker 2: I think that piece about democrats need to be associated

891
00:46:59,000 --> 00:47:02,680
Speaker 2: first and foremost delivering for the working class, and then

892
00:47:03,040 --> 00:47:05,399
Speaker 2: you can get some leeway, just as Donald Trump does

893
00:47:05,440 --> 00:47:07,239
Speaker 2: on the issues where he is profound saying things that

894
00:47:07,239 --> 00:47:10,200
Speaker 2: are profoundly unpopular, then you can get some leeway on

895
00:47:10,280 --> 00:47:12,719
Speaker 2: those pieces where public opinion goes against you.

896
00:47:13,520 --> 00:47:16,239
Speaker 3: Yeah. Trump first of all handled abortion in a way

897
00:47:16,239 --> 00:47:19,239
Speaker 3: that I again cannot see because he's Trump, right, so

898
00:47:19,280 --> 00:47:22,000
Speaker 3: he can say one thing one moment, then say another

899
00:47:22,000 --> 00:47:24,919
Speaker 3: thing another moment, and it just voters see him as like, yeah,

900
00:47:24,960 --> 00:47:26,759
Speaker 3: he just doesn't really care that much about the issue.

901
00:47:26,800 --> 00:47:28,920
Speaker 3: I don't think any other Republican is in a position

902
00:47:28,960 --> 00:47:31,480
Speaker 3: to be able to handle abortion the way that Donald

903
00:47:31,520 --> 00:47:34,480
Speaker 3: Trump has to mitigate some of the electoral fallout, and

904
00:47:34,480 --> 00:47:37,239
Speaker 3: that's a huge challenge for the party going forward. And

905
00:47:37,880 --> 00:47:39,759
Speaker 3: the only other thing I'll add to this, Crystal is

906
00:47:39,840 --> 00:47:43,040
Speaker 3: Bernie Sanders. To your point, I think this actually underscores

907
00:47:43,040 --> 00:47:45,319
Speaker 3: your point. He is one of those people who has

908
00:47:45,320 --> 00:47:48,840
Speaker 3: gone with the elite sort of drift opinion on immigration,

909
00:47:49,280 --> 00:47:53,320
Speaker 3: and people aren't like, oh, Bernie Sanders hates the working class,

910
00:47:53,360 --> 00:47:56,680
Speaker 3: because a lot of Bernie supporters aren't like they may

911
00:47:56,719 --> 00:47:59,440
Speaker 3: disagree with his position on immigration, and for example, he

912
00:47:59,480 --> 00:48:02,719
Speaker 3: one states like Wisconsin, where there are a lot of

913
00:48:02,719 --> 00:48:05,920
Speaker 3: people who would be totally against the Biden policy on immigration.

914
00:48:06,040 --> 00:48:08,840
Speaker 3: That Bernie Sanders has in some ways been supportive of

915
00:48:08,880 --> 00:48:12,400
Speaker 3: asilent policies and those sorts of things, but it hasn't

916
00:48:12,440 --> 00:48:16,640
Speaker 3: been a significant sort of albatross for him during his

917
00:48:16,760 --> 00:48:20,640
Speaker 3: sort of late populist rise, even though it reflects some

918
00:48:20,719 --> 00:48:21,680
Speaker 3: of the drift.

919
00:48:22,000 --> 00:48:24,239
Speaker 2: Yeah, I think that's right. All right, Let's go ahead

920
00:48:24,280 --> 00:48:30,319
Speaker 2: and get to Kamala's plans moving forward. All right, So,

921
00:48:30,400 --> 00:48:34,240
Speaker 2: Emily Kamala revealing some of her thoughts about the future.

922
00:48:34,320 --> 00:48:36,840
Speaker 2: Let's put this up on the screen. This is incredible

923
00:48:36,840 --> 00:48:40,640
Speaker 2: to me, honestly. Apparently she is thinking of running for

924
00:48:40,760 --> 00:48:44,000
Speaker 2: president again in twenty twenty eight, telling her advisors and

925
00:48:44,080 --> 00:48:47,040
Speaker 2: allies to keep her political options open because no one

926
00:48:47,080 --> 00:48:50,800
Speaker 2: ever learns anything in the Democratic Party. She's also considering

927
00:48:50,840 --> 00:48:53,920
Speaker 2: and this pathway makes more at least electoral sense. A

928
00:48:53,920 --> 00:48:56,799
Speaker 2: potential run for California governor. I think there's a good

929
00:48:57,320 --> 00:49:00,960
Speaker 2: chance she would be successful in amocratic primary, and obviously

930
00:49:01,000 --> 00:49:03,200
Speaker 2: it's a Democratic state, so that's most of the ballgame

931
00:49:03,239 --> 00:49:05,440
Speaker 2: if you get through the Democratic primary. Let me just

932
00:49:05,480 --> 00:49:07,200
Speaker 2: read a little bit from this report and then get

933
00:49:07,239 --> 00:49:09,840
Speaker 2: your reaction. Kamala Harris has been lying low since her

934
00:49:09,880 --> 00:49:12,439
Speaker 2: defeat in the presidential race, unwinding with family and senior

935
00:49:12,480 --> 00:49:15,560
Speaker 2: aids in Hawaii before heading back to the nation's capital.

936
00:49:15,600 --> 00:49:18,480
Speaker 2: But privately, the Vice President been instructing advisors and allies

937
00:49:18,480 --> 00:49:21,560
Speaker 2: to keep our options open, whether for a possible twenty

938
00:49:21,600 --> 00:49:25,160
Speaker 2: twenty a presidential run, or even to run for governor

939
00:49:25,160 --> 00:49:27,239
Speaker 2: in a home state of California in two years. As

940
00:49:27,239 --> 00:49:30,480
Speaker 2: Harris has repeated in phone calls, quote, I am staying

941
00:49:30,560 --> 00:49:33,279
Speaker 2: in the fight. She's expected to explore those and other

942
00:49:33,320 --> 00:49:36,040
Speaker 2: possible pass forward with family members over the holiday season.

943
00:49:36,160 --> 00:49:38,560
Speaker 2: Courty to five people in the Harris inner circle who

944
00:49:38,680 --> 00:49:40,000
Speaker 2: were granted anonymity.

945
00:49:40,080 --> 00:49:44,279
Speaker 3: Emily, your thoughts, I mean, going from vice president to

946
00:49:44,360 --> 00:49:49,520
Speaker 3: governor of California in substance, you arguably have more power.

947
00:49:49,880 --> 00:49:54,520
Speaker 2: Oh, it's not arguable. It's not even close. California's economy

948
00:49:54,719 --> 00:49:59,160
Speaker 2: is the size of many, like large countries. It's extremely significant.

949
00:50:00,160 --> 00:50:03,879
Speaker 3: Officially, it feels sort of embarrassing to go for vice

950
00:50:03,960 --> 00:50:06,400
Speaker 3: president to governor of California. I think she would be

951
00:50:06,400 --> 00:50:10,360
Speaker 3: actually very well positioned to make a run for California governor.

952
00:50:10,400 --> 00:50:12,920
Speaker 3: And you could see how this would be the reset

953
00:50:13,000 --> 00:50:14,960
Speaker 3: politically that she needs to sort of get the stench

954
00:50:14,960 --> 00:50:17,680
Speaker 3: of losing off of her, which is significant with candidates.

955
00:50:17,760 --> 00:50:20,440
Speaker 3: It's actually something Trump had to overcome this time around.

956
00:50:21,600 --> 00:50:25,960
Speaker 3: You know, anytime you lose like that, it's just your mojo.

957
00:50:26,239 --> 00:50:28,239
Speaker 3: You need to go reset and figure out a way

958
00:50:28,280 --> 00:50:29,960
Speaker 3: to deal with that. So I think she would be

959
00:50:29,960 --> 00:50:32,279
Speaker 3: well positioned to maybe go to California to say I

960
00:50:32,320 --> 00:50:36,440
Speaker 3: turned the state's economy around, I solved the crime problem,

961
00:50:36,640 --> 00:50:39,680
Speaker 3: I solved all of these, you know, different issues that

962
00:50:39,680 --> 00:50:42,600
Speaker 3: have been plaguing in California politics. Whether or she's actually

963
00:50:42,600 --> 00:50:44,200
Speaker 3: able to do that is a different question from whether

964
00:50:44,280 --> 00:50:46,880
Speaker 3: or not she could look like she suddenly got very tough.

965
00:50:47,080 --> 00:50:50,160
Speaker 3: And you know, maybe she can say she got tough

966
00:50:50,160 --> 00:50:52,759
Speaker 3: in a very progressive way or she got tough in

967
00:50:52,800 --> 00:50:55,640
Speaker 3: a very conservative way, depending on what lane she decides

968
00:50:55,680 --> 00:50:59,000
Speaker 3: to go through politically going forward. She's an absolute chameleon

969
00:50:59,000 --> 00:51:01,200
Speaker 3: and could choose to go to either path regardless of

970
00:51:01,200 --> 00:51:04,439
Speaker 3: what her actual beliefs are. But you could see how

971
00:51:04,600 --> 00:51:07,400
Speaker 3: that would be something that could position her. And the

972
00:51:07,440 --> 00:51:09,279
Speaker 3: only other thing I wanted to mention here, Crystal, is

973
00:51:09,320 --> 00:51:12,320
Speaker 3: that it is astounding to me. I didn't realize Kamala

974
00:51:12,320 --> 00:51:16,839
Speaker 3: Harris was in Hawaii. We are authorizing use of attack MS,

975
00:51:16,920 --> 00:51:20,440
Speaker 3: our president could literally die at any moment, and Kamala

976
00:51:20,440 --> 00:51:24,040
Speaker 3: Harris was relaxing in California. So that's sort of just

977
00:51:24,520 --> 00:51:28,279
Speaker 3: a nice statement on where the Biden administration is right now.

978
00:51:28,840 --> 00:51:32,879
Speaker 2: Absolutely absolutely the case. Yeah, I mean, in terms of California,

979
00:51:33,480 --> 00:51:35,560
Speaker 2: the two big things she's got going for her are

980
00:51:35,880 --> 00:51:41,080
Speaker 2: name mighty and fundraising capability, Like she has always been

981
00:51:41,320 --> 00:51:44,880
Speaker 2: very effective at fundraising from the two big California like

982
00:51:44,960 --> 00:51:49,239
Speaker 2: pots of money, which is Hollywood and Silicon Valley. So

983
00:51:49,800 --> 00:51:54,200
Speaker 2: you know, from that perspective alone, those two pieces, however

984
00:51:54,239 --> 00:51:57,120
Speaker 2: she wants to position herself and what ideological coach she

985
00:51:57,160 --> 00:52:00,360
Speaker 2: wants to don for this particular campaign, she would be

986
00:52:00,400 --> 00:52:03,120
Speaker 2: well positioned to win a Democratic primary, and whoever wins

987
00:52:03,120 --> 00:52:05,680
Speaker 2: the Democratic primary very likely to be the next governor

988
00:52:05,719 --> 00:52:08,319
Speaker 2: of California. So I do think, just from a like

989
00:52:08,400 --> 00:52:12,239
Speaker 2: what should she do next, the most politically viable path

990
00:52:12,320 --> 00:52:16,000
Speaker 2: for her is running for governor. The president thing to

991
00:52:16,040 --> 00:52:19,919
Speaker 2: me is so crisy, so crazy, although I mean she's

992
00:52:19,920 --> 00:52:24,000
Speaker 2: probably looking at I think we have this poll of

993
00:52:24,120 --> 00:52:27,960
Speaker 2: who Democrats won in twenty twenty eight, which is extremely depressing.

994
00:52:28,440 --> 00:52:31,120
Speaker 2: Just because of her name I D and because she

995
00:52:31,239 --> 00:52:34,840
Speaker 2: just ran for president, she is at the top of

996
00:52:34,840 --> 00:52:37,680
Speaker 2: the list and it's not really particularly close, Like she

997
00:52:37,719 --> 00:52:41,200
Speaker 2: gets forty one percent. Gavin Newsom, her fellow Californian, is

998
00:52:41,280 --> 00:52:45,960
Speaker 2: next at eight percent, Shapiro seven, Pete six, Tim Walls six,

999
00:52:46,360 --> 00:52:49,960
Speaker 2: AOC four, and Gretchen three and then down the list

1000
00:52:49,960 --> 00:52:51,560
Speaker 2: from there. I told you, it did give me special

1001
00:52:51,560 --> 00:52:54,080
Speaker 2: pleasure to see John Fetterman not even getting one percent

1002
00:52:54,120 --> 00:52:57,400
Speaker 2: of the vote. So maybe you should try running in Israel.

1003
00:52:57,440 --> 00:52:59,680
Speaker 2: Maybe he'll do a little better there in the polls

1004
00:52:59,760 --> 00:53:02,120
Speaker 2: than in the country that he doesn't seem to care

1005
00:53:02,200 --> 00:53:05,680
Speaker 2: nearly as much about. But I also think this is

1006
00:53:05,760 --> 00:53:08,319
Speaker 2: just a factor of she just ran. That's the name

1007
00:53:08,360 --> 00:53:12,719
Speaker 2: that's in everybody's minds. So we've seen the way she

1008
00:53:12,840 --> 00:53:16,200
Speaker 2: actually performed when it came down to a Democratic primary

1009
00:53:16,360 --> 00:53:19,560
Speaker 2: back in the twenty twenty race. Didn't even make it

1010
00:53:19,600 --> 00:53:22,960
Speaker 2: to you know, didn't even make it to the starting

1011
00:53:23,000 --> 00:53:25,600
Speaker 2: line ultimately because it was going so poorly for her.

1012
00:53:26,000 --> 00:53:29,040
Speaker 2: And then listen, I don't think it's fair to lay

1013
00:53:29,080 --> 00:53:31,239
Speaker 2: all the problems for this campaign at her feet, but

1014
00:53:31,320 --> 00:53:32,960
Speaker 2: she was the cannon and she does deserve some of

1015
00:53:32,960 --> 00:53:35,600
Speaker 2: the blame. This did not go well, and from a

1016
00:53:35,640 --> 00:53:39,440
Speaker 2: Democratic perspective, it was really a total and complete disaster.

1017
00:53:39,960 --> 00:53:42,759
Speaker 3: So it's a flawless campaign. I was that.

1018
00:53:43,200 --> 00:53:45,239
Speaker 2: I mean the fact that listen, I know there's been

1019
00:53:45,239 --> 00:53:46,959
Speaker 2: a lot of discussion about like should she have gone

1020
00:53:46,960 --> 00:53:50,440
Speaker 2: on Rogan And I think the fact that it probably

1021
00:53:50,560 --> 00:53:52,640
Speaker 2: was the right decision for her not to go on

1022
00:53:52,840 --> 00:53:56,040
Speaker 2: Rogan because she would be unable to handle just like

1023
00:53:56,080 --> 00:53:59,840
Speaker 2: a normal person. Three hour conversation tells you that you

1024
00:54:00,239 --> 00:54:05,399
Speaker 2: not the political actor that people are looking for in

1025
00:54:05,640 --> 00:54:08,319
Speaker 2: this moment, like that should be the bare bones qualification

1026
00:54:08,960 --> 00:54:10,560
Speaker 2: is that you're able to just go and shoot the

1027
00:54:10,560 --> 00:54:12,920
Speaker 2: shit with a podcaster for a couple of hours and

1028
00:54:12,960 --> 00:54:16,920
Speaker 2: not come off as like terrified or a freak or

1029
00:54:17,160 --> 00:54:23,000
Speaker 2: you know, stilted or caught off guard or whatever. So yeah,

1030
00:54:23,040 --> 00:54:26,000
Speaker 2: I don't think there's any chance she would actually succeed

1031
00:54:26,040 --> 00:54:29,560
Speaker 2: if she jumped into the presidential primary, whether she But

1032
00:54:30,239 --> 00:54:32,680
Speaker 2: the piece of this, Emily is that, like you know,

1033
00:54:32,760 --> 00:54:37,440
Speaker 2: any of these political candidates, they have a whole coterie

1034
00:54:37,480 --> 00:54:40,880
Speaker 2: of people around them who get rich off of their

1035
00:54:41,000 --> 00:54:45,319
Speaker 2: presidential campaigns. I mean, the Kamala Harris consultant group are

1036
00:54:45,360 --> 00:54:47,120
Speaker 2: going to cover this in a bit. You know, they

1037
00:54:47,160 --> 00:54:49,799
Speaker 2: get made millions of dollars off of this campaign even

1038
00:54:49,800 --> 00:54:53,279
Speaker 2: though they lost, So they have an incentive to tell

1039
00:54:53,320 --> 00:54:55,239
Speaker 2: her like I'll look at you in the polls, look

1040
00:54:55,239 --> 00:54:57,880
Speaker 2: at your your prime for success, Like nobody blames you.

1041
00:54:57,920 --> 00:55:00,239
Speaker 2: It is just this crazy set of circumstances and it's

1042
00:55:00,280 --> 00:55:02,840
Speaker 2: because of bi and it's because of this anti incomment bias.

1043
00:55:03,160 --> 00:55:05,800
Speaker 2: You'll get them next time around. She may be inclined

1044
00:55:05,840 --> 00:55:07,759
Speaker 2: to believe that well.

1045
00:55:07,760 --> 00:55:10,279
Speaker 3: And one reason why we put B three up on

1046
00:55:10,320 --> 00:55:12,880
Speaker 3: the screen in California is especially a good arena for

1047
00:55:12,960 --> 00:55:16,480
Speaker 3: Kamala Harris to make this comeback. Now, Caitlyn Jenner was

1048
00:55:16,920 --> 00:55:21,120
Speaker 3: flirting and I would say maybe trolling yesterday on X

1049
00:55:21,600 --> 00:55:25,480
Speaker 3: with the idea of potentially running against Kamala Harris if

1050
00:55:25,480 --> 00:55:30,640
Speaker 3: she jumped into the gubernatorial race. Caitlyn Jenner said, if

1051
00:55:30,640 --> 00:55:33,320
Speaker 3: I ran and it was ultimately against Harris, I would

1052
00:55:33,360 --> 00:55:37,280
Speaker 3: destroy her. And since a couple of tweets along those lines,

1053
00:55:37,320 --> 00:55:41,719
Speaker 3: But the California Republican Party, you know, it's amazing that

1054
00:55:41,760 --> 00:55:45,160
Speaker 3: Democrats keep winning in California, given how the Democratic Party

1055
00:55:45,200 --> 00:55:47,719
Speaker 3: has handled the state of California. But one of the

1056
00:55:47,760 --> 00:55:50,279
Speaker 3: reasons for that is the Republican Party in California is

1057
00:55:50,280 --> 00:55:54,240
Speaker 3: an absolute disaster. And so if it's Kamala Harris versus

1058
00:55:54,360 --> 00:55:58,480
Speaker 3: Caitlyn Jenner, you can see where Kamala Harris is, you know,

1059
00:55:58,520 --> 00:56:03,040
Speaker 3: sort of slotting herself and to start looking or take

1060
00:56:03,080 --> 00:56:05,480
Speaker 3: a job that it's a lot easier for her to

1061
00:56:05,520 --> 00:56:09,799
Speaker 3: sort of make her own narrative and you know, be

1062
00:56:09,880 --> 00:56:15,239
Speaker 3: her own person and start making a political comeback. Now,

1063
00:56:15,480 --> 00:56:19,320
Speaker 3: Kamala Harris is I think a uniquely bad politician, even

1064
00:56:19,480 --> 00:56:21,920
Speaker 3: among politicians. This is a person who didn't even make

1065
00:56:21,960 --> 00:56:25,480
Speaker 3: it to the Iowa caucuses despite having a truly absurd

1066
00:56:25,480 --> 00:56:29,319
Speaker 3: amount of money behind her, as you guys covered support. Yeah,

1067
00:56:29,400 --> 00:56:34,200
Speaker 3: oh my gosh, they did it. Didn't even make it

1068
00:56:34,239 --> 00:56:36,840
Speaker 3: to the Iowa caucuses. So she's a uniquely bad politician.

1069
00:56:36,880 --> 00:56:39,480
Speaker 3: But that's where you know, California is the place where

1070
00:56:39,520 --> 00:56:41,839
Speaker 3: she's at home, because you can be a uniquely bad

1071
00:56:41,880 --> 00:56:44,919
Speaker 3: Democrat in California and actually succeed over and over again.

1072
00:56:45,320 --> 00:56:48,840
Speaker 2: The machine, that California Democratic Party machine really does actually

1073
00:56:48,880 --> 00:56:51,319
Speaker 2: matter in the state, and I think she would have

1074
00:56:51,400 --> 00:56:55,040
Speaker 2: a lot of institutional support behind her. So do you

1075
00:56:55,080 --> 00:56:56,680
Speaker 2: think Caitlyn Jenner is serious about this?

1076
00:56:56,760 --> 00:57:01,120
Speaker 3: By the way, Yeah, because Kate and that long shot run.

1077
00:57:01,560 --> 00:57:03,160
Speaker 3: I forget what was like two years ago.

1078
00:57:03,920 --> 00:57:04,920
Speaker 2: I kind of forgot about that.

1079
00:57:05,200 --> 00:57:07,480
Speaker 3: I know I did too, but you know.

1080
00:57:08,000 --> 00:57:10,040
Speaker 2: Talk about like not even making it to the starting line,

1081
00:57:10,120 --> 00:57:11,320
Speaker 2: I forgot it even happened.

1082
00:57:11,800 --> 00:57:16,040
Speaker 3: Yeah, right, I mean, on that note, if it's something

1083
00:57:16,040 --> 00:57:20,760
Speaker 3: that's sort of plotted early enough and is actual like

1084
00:57:20,800 --> 00:57:25,040
Speaker 3: the California Republican Party gets behind the money, gets behind

1085
00:57:25,520 --> 00:57:29,560
Speaker 3: the campaign. It could it could happen if it looked

1086
00:57:29,600 --> 00:57:33,120
Speaker 3: more like a traditional campaign. But obviously there's a primary

1087
00:57:33,360 --> 00:57:36,760
Speaker 3: and there's a process, and there will be other people

1088
00:57:37,000 --> 00:57:39,880
Speaker 3: who probably seem more serious than Caitlyn Jenner. But Kaitlyn

1089
00:57:39,920 --> 00:57:43,280
Speaker 3: Jenner has been hanging around mar A Lago recently, does

1090
00:57:43,320 --> 00:57:45,600
Speaker 3: a lot of Fox News. I mean, there's a world

1091
00:57:45,680 --> 00:57:48,640
Speaker 3: in which it's possible that Kaitlyn Jurder gets the primary nomination.

1092
00:57:49,880 --> 00:57:53,360
Speaker 2: So California, don't they have the jungle primary system where

1093
00:57:53,360 --> 00:57:55,440
Speaker 2: it's like the top two vote getters. I mean think

1094
00:57:55,440 --> 00:57:57,680
Speaker 2: there have been some campaigns where Republican doesn't even make

1095
00:57:57,720 --> 00:57:59,919
Speaker 2: it to the general election. We have two Democrats, yeah,

1096
00:58:00,200 --> 00:58:02,000
Speaker 2: against the data for the general election.

1097
00:58:02,480 --> 00:58:05,640
Speaker 3: Right, and that's where it's like, I mean, I don't

1098
00:58:05,800 --> 00:58:07,800
Speaker 3: I don't know how Calen general would be able to

1099
00:58:09,120 --> 00:58:13,040
Speaker 3: also somebody with a different political background, but a fairly

1100
00:58:13,120 --> 00:58:16,520
Speaker 3: conventional not like an RFK different political background, like a

1101
00:58:16,560 --> 00:58:21,240
Speaker 3: fairly conventional boomer Republican conservative, to be honest.

1102
00:58:21,320 --> 00:58:24,280
Speaker 2: Yeah, yeah, all right, Well we'll keep your eye on it.

1103
00:58:24,320 --> 00:58:27,680
Speaker 2: And see see just how delusional Kamala is about after

1104
00:58:27,800 --> 00:58:33,760
Speaker 2: political prospects moving forward. So Emily, we were talking earlier

1105
00:58:33,800 --> 00:58:38,520
Speaker 2: about how the resistance to Trump this time around is

1106
00:58:38,840 --> 00:58:42,160
Speaker 2: uh not as heated. It's a very different approach than

1107
00:58:42,200 --> 00:58:45,520
Speaker 2: it was last time, and wanted to dig into that

1108
00:58:45,600 --> 00:58:48,320
Speaker 2: a little bit more, but just as a reminder, you know,

1109
00:58:48,400 --> 00:58:51,360
Speaker 2: this was the after Trump gets elected and there's all

1110
00:58:51,400 --> 00:58:54,840
Speaker 2: these thoughts like Russia inter feared, and Trump's never been

1111
00:58:54,880 --> 00:58:57,600
Speaker 2: present before, and no one knows what this is going

1112
00:58:57,680 --> 00:59:00,840
Speaker 2: to look like, and there was this just vociferous reaction

1113
00:59:01,360 --> 00:59:06,080
Speaker 2: against him and tons of energy among liberals that you know,

1114
00:59:06,120 --> 00:59:08,640
Speaker 2: the early culmination of which was the Women's March, which

1115
00:59:08,640 --> 00:59:11,840
Speaker 2: occurred in you know, January, after he's inaugurated. Just to

1116
00:59:12,120 --> 00:59:15,080
Speaker 2: remind people what that energy was like, let's take a

1117
00:59:15,120 --> 00:59:17,800
Speaker 2: look at a little news clip of that Women's March

1118
00:59:17,800 --> 00:59:18,560
Speaker 2: from the time.

1119
00:59:18,720 --> 00:59:22,920
Speaker 5: The day after Donald Trump became their president. They chanted,

1120
00:59:24,840 --> 00:59:26,120
Speaker 5: they urged.

1121
00:59:26,320 --> 00:59:28,520
Speaker 2: Regat this keep on coming.

1122
00:59:28,680 --> 00:59:35,240
Speaker 5: They shouted, and they waived every insult they could, mustard

1123
00:59:37,960 --> 00:59:41,720
Speaker 5: pussy caps mocking Trump for comments he's made about women,

1124
00:59:42,080 --> 00:59:46,800
Speaker 5: reinforced in as many ways they could think of hundreds

1125
00:59:46,840 --> 00:59:51,200
Speaker 5: of thousands of Americans enraged by the man voted into

1126
00:59:51,280 --> 00:59:54,080
Speaker 5: office by millions of other Americans.

1127
00:59:54,360 --> 00:59:58,440
Speaker 2: Now there is a People's March plan for January, but

1128
00:59:58,920 --> 01:00:01,280
Speaker 2: there are concerns that the term now will be significantly

1129
01:00:01,400 --> 01:00:03,880
Speaker 2: less than the Women's March. And just to give you

1130
01:00:03,920 --> 01:00:07,680
Speaker 2: a sense of how the approach and the energy is

1131
01:00:07,840 --> 01:00:10,560
Speaker 2: very different this time around, you even had on the

1132
01:00:10,640 --> 01:00:13,840
Speaker 2: view Whoopy Goldberg, who of course has been a vociferous

1133
01:00:14,320 --> 01:00:16,720
Speaker 2: Trump critic all of these years, saying, you know, I'll

1134
01:00:16,720 --> 01:00:19,520
Speaker 2: wait and see what he does once he gets into office.

1135
01:00:19,680 --> 01:00:21,000
Speaker 2: Let's go ahead and take a listen to that.

1136
01:00:21,640 --> 01:00:24,520
Speaker 6: I understand all the things you want to see him be.

1137
01:00:25,560 --> 01:00:28,120
Speaker 6: I understand all the things that he promised he would

1138
01:00:28,160 --> 01:00:31,680
Speaker 6: be and he wasn't. And now that he has been

1139
01:00:31,720 --> 01:00:35,400
Speaker 6: given carte blanche, I'm not going to waste a lot

1140
01:00:35,440 --> 01:00:39,080
Speaker 6: of time on what he might do. But I'm gonna

1141
01:00:39,160 --> 01:00:41,640
Speaker 6: I'm gonna wait because I need to see what he

1142
01:00:41,800 --> 01:00:44,200
Speaker 6: will do so that I know what I'm going.

1143
01:00:44,080 --> 01:00:45,680
Speaker 7: To do that I'm not gonna wait and see. I mean,

1144
01:00:45,720 --> 01:00:46,400
Speaker 7: this guy's.

1145
01:00:49,560 --> 01:00:52,480
Speaker 6: Like, there's nothing to be done until you know what

1146
01:00:52,480 --> 01:00:55,760
Speaker 6: you're fighting. It's it's listing and the wind doesn't help

1147
01:00:56,520 --> 01:00:57,720
Speaker 6: you just get away from.

1148
01:00:59,080 --> 01:00:59,880
Speaker 3: What I'm saying is.

1149
01:01:00,120 --> 01:01:03,160
Speaker 7: I have no false expectations that at seventy eight he's

1150
01:01:03,200 --> 01:01:09,600
Speaker 7: going to all of a sudden turning. I spent weeks

1151
01:01:09,600 --> 01:01:11,680
Speaker 7: telling people that he was apocalyptic.

1152
01:01:11,760 --> 01:01:13,440
Speaker 3: I'm not going to change now.

1153
01:01:13,480 --> 01:01:15,960
Speaker 2: It can treating every single thing.

1154
01:01:16,080 --> 01:01:16,920
Speaker 3: I think that's when.

1155
01:01:16,720 --> 01:01:17,760
Speaker 7: We lose credibility.

1156
01:01:17,880 --> 01:01:18,760
Speaker 2: Well, here's the thing.

1157
01:01:19,000 --> 01:01:23,280
Speaker 6: You lose credibility in many different ways. If you don't

1158
01:01:23,320 --> 01:01:26,240
Speaker 6: know what you're talking about, and you accuse him of something,

1159
01:01:26,600 --> 01:01:28,880
Speaker 6: then then they're going to blow it back. That's why

1160
01:01:28,920 --> 01:01:31,560
Speaker 6: I say we need to wait and see exactly what

1161
01:01:31,600 --> 01:01:32,120
Speaker 6: you're going to do.

1162
01:01:32,680 --> 01:01:36,280
Speaker 3: So Jeoh, I should put dramatic music like that. When

1163
01:01:36,320 --> 01:01:37,200
Speaker 3: we start to get.

1164
01:01:37,400 --> 01:01:41,360
Speaker 2: Liked, Griffin can start trying to play us out to break, Like, okay, y'all,

1165
01:01:41,360 --> 01:01:43,200
Speaker 2: I've been talking for a long time. Let me just

1166
01:01:43,240 --> 01:01:45,840
Speaker 2: start to play some music. Play you off stage. That

1167
01:01:45,920 --> 01:01:49,560
Speaker 2: was what was going on there. But so there's a

1168
01:01:49,600 --> 01:01:52,800
Speaker 2: few things I think Whoope's comments well less dramatic than

1169
01:01:52,800 --> 01:01:55,360
Speaker 2: like Joe Amica going down to bar a Lago. I

1170
01:01:55,360 --> 01:01:57,280
Speaker 2: think in some ways they should be seen as a

1171
01:01:57,320 --> 01:02:00,640
Speaker 2: similar reaction. I think you can all so put them

1172
01:02:00,800 --> 01:02:04,080
Speaker 2: in a vein with Jeff Bezos deciding to not have

1173
01:02:04,120 --> 01:02:08,320
Speaker 2: The Washington Post endorse before the fact of Sindhar Pachai,

1174
01:02:08,440 --> 01:02:11,840
Speaker 2: of Mark Zuckerberg, of Tim Cook, all of these people

1175
01:02:12,000 --> 01:02:14,600
Speaker 2: going being like, let's make nice because this is the

1176
01:02:14,640 --> 01:02:18,040
Speaker 2: new reality. And you know, part of that is out

1177
01:02:18,040 --> 01:02:19,880
Speaker 2: of a desire to suck up to power as always,

1178
01:02:19,880 --> 01:02:21,760
Speaker 2: and part of that is out of like this kind

1179
01:02:21,800 --> 01:02:25,600
Speaker 2: of fear of retribution. I think from what be Goldberg's perspective,

1180
01:02:25,800 --> 01:02:27,640
Speaker 2: it's also her sense of like, Okay, well what we

1181
01:02:27,680 --> 01:02:31,160
Speaker 2: did last time didn't really work, so what can we do.

1182
01:02:31,640 --> 01:02:35,680
Speaker 2: That's a different approach my own personal her reaction is

1183
01:02:35,760 --> 01:02:40,480
Speaker 2: kind of the polar opposite because I don't have last

1184
01:02:40,480 --> 01:02:42,640
Speaker 2: time around, we didn't know what he was going to do,

1185
01:02:42,680 --> 01:02:44,320
Speaker 2: so then to me it did make sense to be like,

1186
01:02:44,320 --> 01:02:47,200
Speaker 2: all right, well, let's see how this goes this time around.

1187
01:02:47,680 --> 01:02:50,400
Speaker 2: This man was president before we know what he said

1188
01:02:50,400 --> 01:02:52,840
Speaker 2: on the campaign trail, we know who he's putting in

1189
01:02:52,840 --> 01:02:56,040
Speaker 2: place and what he is planning to do, and whether

1190
01:02:56,080 --> 01:02:59,280
Speaker 2: it's you know, mass deportations or I'm in support of

1191
01:02:59,320 --> 01:03:02,520
Speaker 2: some terrorists, but putting terraces across the entire economy that

1192
01:03:02,680 --> 01:03:06,200
Speaker 2: spikes inflation would be an utter disaster, the two trillion

1193
01:03:06,240 --> 01:03:08,840
Speaker 2: dollar cuts from you know, letting Elon Musk the richest

1194
01:03:08,840 --> 01:03:11,720
Speaker 2: man on the planet basically like drive government policy and

1195
01:03:11,800 --> 01:03:14,280
Speaker 2: run it to his own personal benefit. Like these are

1196
01:03:14,320 --> 01:03:17,760
Speaker 2: things he's already putting in place that he has argued

1197
01:03:17,800 --> 01:03:20,360
Speaker 2: for on the campaign trail, that he has some track

1198
01:03:20,400 --> 01:03:22,439
Speaker 2: record of being in favor of from last time around,

1199
01:03:22,480 --> 01:03:24,800
Speaker 2: even though he was diming in these certain ways, like

1200
01:03:24,960 --> 01:03:28,200
Speaker 2: I feel the polar opposite of what be Goldberg. I like,

1201
01:03:28,640 --> 01:03:31,760
Speaker 2: we already know who this person is. So in some sense,

1202
01:03:31,760 --> 01:03:34,240
Speaker 2: it's been it's been very frustrating to me to see

1203
01:03:34,680 --> 01:03:41,720
Speaker 2: the lack of concerted, like smart policy driven resistance to

1204
01:03:41,840 --> 01:03:44,040
Speaker 2: him this time around, even as last time, like you know,

1205
01:03:44,080 --> 01:03:45,680
Speaker 2: I found the Women's March in these sorts of things

1206
01:03:45,760 --> 01:03:48,520
Speaker 2: kind of like you know, liberal and cringey, But this

1207
01:03:48,640 --> 01:03:50,480
Speaker 2: time there just seems to be such an area of

1208
01:03:50,480 --> 01:03:52,600
Speaker 2: capitulation and if you put the shoe on the other foot,

1209
01:03:52,640 --> 01:03:55,800
Speaker 2: like Republicans never approach things this way of like, oh

1210
01:03:55,960 --> 01:03:59,760
Speaker 2: maybe maybe Barack Obama and Joe Biden, maybe Kamala Harris,

1211
01:03:59,760 --> 01:04:02,640
Speaker 2: maybe we're gonna like what they had no they from

1212
01:04:02,680 --> 01:04:08,040
Speaker 2: the beginning now a forceful, clear cut, aggressive opposition, and

1213
01:04:08,240 --> 01:04:10,760
Speaker 2: there's a reason why they do that. It's because it's

1214
01:04:10,840 --> 01:04:11,960
Speaker 2: politically successful.

1215
01:04:12,560 --> 01:04:15,959
Speaker 3: It's pretty wild. I mean, first of all, to disentangle

1216
01:04:16,080 --> 01:04:19,640
Speaker 3: the layers of that cacophony. From the view, it was

1217
01:04:19,680 --> 01:04:21,919
Speaker 3: like they were making these different arguments that weren't even

1218
01:04:22,080 --> 01:04:25,640
Speaker 3: against each other. Like you had Alyssa far Griffin on

1219
01:04:25,640 --> 01:04:28,000
Speaker 3: the end of the table saying you can't treat everything

1220
01:04:28,040 --> 01:04:30,680
Speaker 3: like a five alarm fire. She was agreeing with on

1221
01:04:30,800 --> 01:04:32,560
Speaker 3: a Nabarro. She was like, he is the same guy,

1222
01:04:32,640 --> 01:04:35,680
Speaker 3: but if you treat everything like it's an emergency, people

1223
01:04:35,880 --> 01:04:38,920
Speaker 3: tune out. And Anna Navarro is sort of puzzled by

1224
01:04:38,920 --> 01:04:41,160
Speaker 3: that and saying and same thing. She's puzzled by Whippy

1225
01:04:41,160 --> 01:04:43,640
Speaker 3: Goldberg because she's been sitting at that table for years

1226
01:04:43,920 --> 01:04:46,240
Speaker 3: where they do treat everything as a five alarm fire,

1227
01:04:46,320 --> 01:04:49,400
Speaker 3: and she's I think actually right to call their bs

1228
01:04:49,400 --> 01:04:51,600
Speaker 3: on that and saying, Okay, so are you telling me

1229
01:04:51,640 --> 01:04:55,000
Speaker 3: that I should just pull my fire even though I

1230
01:04:55,040 --> 01:04:58,680
Speaker 3: think something is like dire and serious? It does Actually, Chris,

1231
01:04:59,040 --> 01:05:01,440
Speaker 3: I totally think it's like Joe and Mika.

1232
01:05:02,360 --> 01:05:04,880
Speaker 2: You know that in one thing, he's Hitler and he's

1233
01:05:04,880 --> 01:05:07,680
Speaker 2: a fascist, Like, yeah, well, let's find some common grounds,

1234
01:05:07,680 --> 01:05:10,840
Speaker 2: like these two things can't coexist, right.

1235
01:05:10,960 --> 01:05:12,920
Speaker 3: You know, It's like, did you believe that he was

1236
01:05:13,000 --> 01:05:16,320
Speaker 3: Hitler if you're now saying that that he was literally Hitler,

1237
01:05:16,360 --> 01:05:18,880
Speaker 3: or that he was actually a fascist or a diarthlet

1238
01:05:18,880 --> 01:05:21,800
Speaker 3: through republic, if you are now saying, let's give him

1239
01:05:21,880 --> 01:05:25,200
Speaker 3: a chance. So in that sense, I give him the

1240
01:05:25,240 --> 01:05:27,840
Speaker 3: first time in my life. I yeah, the first time

1241
01:05:27,880 --> 01:05:31,720
Speaker 3: in my life. I am sympathizing. I'm agreeing with the

1242
01:05:31,760 --> 01:05:35,200
Speaker 3: lovely at Navarro there. But the Joe Amica point, I

1243
01:05:35,200 --> 01:05:37,840
Speaker 3: don't think this applies to Whoopie Goldberg. But Chrystal I

1244
01:05:38,000 --> 01:05:41,840
Speaker 3: was working on a story yesterday about why DC seems

1245
01:05:41,880 --> 01:05:45,120
Speaker 3: so quiet. I mean, the Women's March was the pinnacle

1246
01:05:45,480 --> 01:05:48,440
Speaker 3: of the resistance. It was, you know, the snowball starting

1247
01:05:48,440 --> 01:05:51,240
Speaker 3: to roll down the hill of the resistance. And Ryan

1248
01:05:51,280 --> 01:05:54,400
Speaker 3: writes about this in his book, a very organic, genuinely

1249
01:05:54,600 --> 01:05:58,400
Speaker 3: bottom up way. But it also, I mean, the quote

1250
01:05:58,480 --> 01:06:02,720
Speaker 3: unquote resistance, the hashtag erstence was robust. It wasn't just

1251
01:06:02,920 --> 01:06:05,920
Speaker 3: the Women's March. Women's March was a powerful part of it,

1252
01:06:05,960 --> 01:06:09,320
Speaker 3: but everyone remembers it was so frenzied in DC. It

1253
01:06:09,360 --> 01:06:12,640
Speaker 3: was frenzied. People were hyperventilating, and I was working in

1254
01:06:12,640 --> 01:06:14,120
Speaker 3: a story about why that doesn't seem to be the

1255
01:06:14,120 --> 01:06:19,160
Speaker 3: case right now, and a longtime Republican lobbyist told me

1256
01:06:19,200 --> 01:06:22,480
Speaker 3: on the phone yesterday that everyone is quote scared to

1257
01:06:22,520 --> 01:06:25,560
Speaker 3: death and not saying anything. It is like the angel

1258
01:06:25,640 --> 01:06:28,160
Speaker 3: of death is hovering over their doors and they just

1259
01:06:28,240 --> 01:06:32,000
Speaker 3: want fucking Lamb's blood on their door. And they're hoping

1260
01:06:32,280 --> 01:06:35,520
Speaker 3: that the Trump administration has too many fish to fry

1261
01:06:36,200 --> 01:06:38,200
Speaker 3: they don't end up being one of the fried fish.

1262
01:06:38,360 --> 01:06:41,840
Speaker 3: And so Ryan is right that the women's merch was

1263
01:06:41,920 --> 01:06:44,640
Speaker 3: very much a bottom up type of thing, but there's

1264
01:06:44,680 --> 01:06:47,560
Speaker 3: really nothing coming from the top down. And this gets

1265
01:06:47,600 --> 01:06:50,400
Speaker 3: to the Whoopi Goldberg and Joe and Mika point, because

1266
01:06:50,440 --> 01:06:53,280
Speaker 3: people understand that Trump is going to come into office

1267
01:06:53,320 --> 01:06:55,920
Speaker 3: without the need to run for reelection again, and they

1268
01:06:56,000 --> 01:06:59,360
Speaker 3: understand he's coming into the office with these off season

1269
01:06:59,400 --> 01:07:03,200
Speaker 3: plans ready to go, and they're trying to avoid, needlessly

1270
01:07:03,240 --> 01:07:05,520
Speaker 3: after all of this time, putting themselves in the crosshairs.

1271
01:07:05,560 --> 01:07:08,440
Speaker 3: It's like, Okay, good good luck at this point.

1272
01:07:08,920 --> 01:07:11,919
Speaker 2: Yeah. Well, and the other thing is like part of

1273
01:07:12,360 --> 01:07:17,720
Speaker 2: there's no examination of what the resistance ended up focusing

1274
01:07:17,760 --> 01:07:21,440
Speaker 2: on in terms of, you know, figuring out why it

1275
01:07:21,480 --> 01:07:25,880
Speaker 2: didn't work. They're sort of viewing it through the lens of, well,

1276
01:07:25,960 --> 01:07:29,040
Speaker 2: we were aggressively opposed to Trump last time and that

1277
01:07:29,080 --> 01:07:31,360
Speaker 2: didn't work, so this time, maybe we should be less

1278
01:07:31,360 --> 01:07:34,720
Speaker 2: aggressively opposed to Trump. And it's like, well, instead of

1279
01:07:34,760 --> 01:07:39,040
Speaker 2: that analysis, maybe you shouldn't have like indulged in this

1280
01:07:39,240 --> 01:07:43,600
Speaker 2: elaborate Russiagate hoax conspiracy that just turned out to not

1281
01:07:43,760 --> 01:07:47,120
Speaker 2: be true. Maybe if you had opposed him on the

1282
01:07:47,520 --> 01:07:51,800
Speaker 2: overt corruption, which was clear cut from day one. Maybe

1283
01:07:51,840 --> 01:07:54,280
Speaker 2: if you had opposed him on how he turned out

1284
01:07:54,360 --> 01:07:56,200
Speaker 2: to be a fraud when it came to his working

1285
01:07:56,200 --> 01:08:00,960
Speaker 2: class promises and his primary accomplishment was passing a tax

1286
01:08:01,000 --> 01:08:04,000
Speaker 2: cut for a bunch of rich people, maybe you should

1287
01:08:04,000 --> 01:08:06,960
Speaker 2: have opposed him more aggressively on the fact that, you know,

1288
01:08:07,160 --> 01:08:11,920
Speaker 2: his healthcare plan was an absolute disaster and he lied

1289
01:08:11,960 --> 01:08:15,120
Speaker 2: when he said he was going to get everyone healthcare coverage. Like,

1290
01:08:15,280 --> 01:08:18,679
Speaker 2: maybe the problem wasn't that you aggressively opposed him. Maybe

1291
01:08:18,680 --> 01:08:20,960
Speaker 2: it was that you opposed him on things that were

1292
01:08:20,960 --> 01:08:25,640
Speaker 2: like fundamentally not really factual or accurate or connecting to

1293
01:08:25,760 --> 01:08:29,679
Speaker 2: people's day to day Lives. Maybe that was the problem there,

1294
01:08:30,080 --> 01:08:32,360
Speaker 2: and so, you know, I do think that there is

1295
01:08:33,600 --> 01:08:38,600
Speaker 2: there's a very consistent elite like capitulation. You see it

1296
01:08:38,600 --> 01:08:41,519
Speaker 2: with Jared Poulis, who's like, oh, maybe RFK Junior would

1297
01:08:41,520 --> 01:08:43,080
Speaker 2: be great on this, even as you're like, yeah, but

1298
01:08:43,160 --> 01:08:45,560
Speaker 2: he also wants to like get rid of the measles vaccine.

1299
01:08:45,600 --> 01:08:49,080
Speaker 2: So you know, sure, okay, let people drink raw milk whatever.

1300
01:08:49,280 --> 01:08:53,000
Speaker 2: It's not really on far with opposing the measles vaccine.

1301
01:08:53,040 --> 01:08:55,400
Speaker 2: But you see that, you see Corey Booker, you know,

1302
01:08:55,479 --> 01:08:59,800
Speaker 2: you see Joe and Mika, you see whoopee here. You

1303
01:08:59,800 --> 01:09:04,639
Speaker 2: see a very different approach from democratic elites and MSNBC overall,

1304
01:09:04,800 --> 01:09:08,000
Speaker 2: very different approach, and I don't think that that is

1305
01:09:08,080 --> 01:09:10,640
Speaker 2: reflective of where a lot of the democratic bases. And

1306
01:09:10,680 --> 01:09:13,480
Speaker 2: I think that's why you're seeing so many people abandon MSNBC,

1307
01:09:13,960 --> 01:09:16,840
Speaker 2: why you're seeing like Kyle's channel is actually going through

1308
01:09:16,880 --> 01:09:19,440
Speaker 2: the roof right now, because people are looking for alternatives

1309
01:09:19,439 --> 01:09:22,440
Speaker 2: that are on the left, Like all these MSNBC refugees

1310
01:09:22,520 --> 01:09:26,040
Speaker 2: are flooding YouTube and podcasts right now looking for voices

1311
01:09:26,040 --> 01:09:28,760
Speaker 2: that are still going to be honest and credible to them.

1312
01:09:28,960 --> 01:09:32,080
Speaker 2: So I think they're gonna love Kyle. They are gonna

1313
01:09:32,120 --> 01:09:36,559
Speaker 2: love Kyle. I love Kyle obviously, so so I think

1314
01:09:36,560 --> 01:09:39,000
Speaker 2: there's a bit of a misread of the energy here

1315
01:09:39,520 --> 01:09:41,000
Speaker 2: at the same time, I mean, of course, people are

1316
01:09:41,080 --> 01:09:43,760
Speaker 2: kind of exhausted, like the elicit C three up on

1317
01:09:43,800 --> 01:09:46,839
Speaker 2: the screen. This is an article from Axios, The Resistance

1318
01:09:46,880 --> 01:09:51,240
Speaker 2: goes quiet. Democratic voters were just as disappointed, they write,

1319
01:09:51,240 --> 01:09:54,719
Speaker 2: but less shocked, and perhaps that's part of the reason

1320
01:09:54,760 --> 01:09:58,519
Speaker 2: for a different reaction. They also say they're concerned that

1321
01:09:58,600 --> 01:10:02,360
Speaker 2: this people's March, which is kind of, you know, inevitably

1322
01:10:02,360 --> 01:10:04,080
Speaker 2: going to be compared to the Women's March, that it

1323
01:10:04,120 --> 01:10:07,960
Speaker 2: may not have the same level of turnout that we

1324
01:10:08,040 --> 01:10:11,679
Speaker 2: saw eight years earlier. So you know, I guess part

1325
01:10:11,680 --> 01:10:14,200
Speaker 2: of it too is that he is instantly a lame duck,

1326
01:10:14,320 --> 01:10:17,439
Speaker 2: So that could also factor into the equation here of

1327
01:10:17,439 --> 01:10:19,000
Speaker 2: how people are viewing this residency.

1328
01:10:20,000 --> 01:10:23,320
Speaker 3: Yeah, I think that's true. And you know, there's also

1329
01:10:23,439 --> 01:10:25,559
Speaker 3: lists of a freak out on the right, which is

1330
01:10:25,600 --> 01:10:30,360
Speaker 3: interesting because the never Trump guys, I mean, they were

1331
01:10:30,400 --> 01:10:33,200
Speaker 3: a kind of big part of the frenzy back in

1332
01:10:33,280 --> 01:10:36,640
Speaker 3: twenty sixteen and the hysteria back in twenty sixteen twenty seventeen,

1333
01:10:36,800 --> 01:10:39,559
Speaker 3: and they sort of sort of settled into their own

1334
01:10:39,680 --> 01:10:42,080
Speaker 3: like niche rhythm, and Scarborough is kind of one of

1335
01:10:42,120 --> 01:10:46,600
Speaker 3: them to some extent. But they're just I mean, what

1336
01:10:47,040 --> 01:10:49,679
Speaker 3: do they have to offer anymore? It's not novel that

1337
01:10:49,760 --> 01:10:53,400
Speaker 3: you have. Liz Cheney was rebuked I think pretty thoroughly

1338
01:10:53,800 --> 01:10:56,480
Speaker 3: as the numbers come in, so the media can't totally

1339
01:10:56,640 --> 01:10:58,080
Speaker 3: go along with that either.

1340
01:10:58,720 --> 01:11:00,760
Speaker 2: Yeah. No, that's a good point. And the last piece

1341
01:11:00,800 --> 01:11:03,639
Speaker 2: we have here is, you know, part of the dynamic too,

1342
01:11:03,840 --> 01:11:09,360
Speaker 2: is that even the consultants who lost this race for

1343
01:11:09,520 --> 01:11:14,080
Speaker 2: the Democrats like, they're going to be fine. They made

1344
01:11:14,200 --> 01:11:18,160
Speaker 2: millions off of this race. They're going to be continue,

1345
01:11:18,520 --> 01:11:22,160
Speaker 2: very likely continue to be welcomed in elite democratic circles

1346
01:11:22,600 --> 01:11:25,400
Speaker 2: and maintain their racket at the DNC. I mean, these

1347
01:11:25,400 --> 01:11:28,880
Speaker 2: are things that myself and others should are and should

1348
01:11:28,920 --> 01:11:32,920
Speaker 2: fight against, but that's most likely path forward. And so

1349
01:11:33,280 --> 01:11:36,160
Speaker 2: for them a loss to Donald Trump isn't alarming. They're

1350
01:11:36,160 --> 01:11:37,640
Speaker 2: not going to be the ones who are, you know,

1351
01:11:37,920 --> 01:11:41,080
Speaker 2: suffering the brunt of the consequences they have. You know,

1352
01:11:41,160 --> 01:11:46,000
Speaker 2: if grocery prices spike, if there's mass deportations like they're

1353
01:11:46,040 --> 01:11:47,760
Speaker 2: not going to be the ones in the camps. They're

1354
01:11:47,760 --> 01:11:49,680
Speaker 2: not going to be the ones who are unable to

1355
01:11:49,680 --> 01:11:51,960
Speaker 2: pay their bills at the end of the month if

1356
01:11:52,400 --> 01:11:55,240
Speaker 2: those things come to pass. So, you know, they they're

1357
01:11:55,439 --> 01:11:58,120
Speaker 2: they're fine with a Donald Trump victory because they still

1358
01:11:58,160 --> 01:12:02,080
Speaker 2: get to move forward and get their multimillion dollar consulting

1359
01:12:02,280 --> 01:12:05,920
Speaker 2: contracts and get their you know, CNN hits where they

1360
01:12:05,960 --> 01:12:08,160
Speaker 2: can explain what we're wrong, even though that they're the

1361
01:12:08,200 --> 01:12:10,120
Speaker 2: ones that like caused the things that went wrong.

1362
01:12:10,840 --> 01:12:14,680
Speaker 3: There's some upwards failure on the right. But I was

1363
01:12:14,680 --> 01:12:17,400
Speaker 3: talking to a Democratic consultant a couple of weeks ago

1364
01:12:17,479 --> 01:12:20,639
Speaker 3: about how they're so much on the in the Democratic Party.

1365
01:12:20,680 --> 01:12:24,240
Speaker 3: It's just you can fail upwards so easily. And that's

1366
01:12:24,240 --> 01:12:26,320
Speaker 3: what's going to happen to like all of these kmmal

1367
01:12:26,360 --> 01:12:28,920
Speaker 3: consultants in all likelihood is you can run a quote

1368
01:12:28,960 --> 01:12:32,280
Speaker 3: unquote flawless campaign and because joy Reid thinks that it

1369
01:12:32,320 --> 01:12:35,280
Speaker 3: was a flawless campaign and people like her, the ones

1370
01:12:35,320 --> 01:12:38,519
Speaker 3: that are hiring you, just those checks will just keep coming.

1371
01:12:39,200 --> 01:12:42,880
Speaker 2: Yeah, it's also appoint that torre made with us, which

1372
01:12:42,960 --> 01:12:45,479
Speaker 2: kind of landed with me. Is like, you know, anyone

1373
01:12:45,479 --> 01:12:48,040
Speaker 2: who was at all associated with the Obama campaign is

1374
01:12:48,080 --> 01:12:50,760
Speaker 2: kind of treated as the political genius. But are they

1375
01:12:50,920 --> 01:12:53,599
Speaker 2: really because it's like, Okay, you were able to get

1376
01:12:53,840 --> 01:12:57,000
Speaker 2: Barack Obama elected, who anyone on the right of the

1377
01:12:57,040 --> 01:13:01,600
Speaker 2: left would acknowledge is like this generational political talent, Like

1378
01:13:02,080 --> 01:13:03,800
Speaker 2: did you really need to be a genius to pull

1379
01:13:03,840 --> 01:13:05,479
Speaker 2: that off? Or did you just happen to back the

1380
01:13:05,520 --> 01:13:08,200
Speaker 2: right horse at the right time, Because seem to be

1381
01:13:08,240 --> 01:13:12,519
Speaker 2: able to admit Romney have any right have any real

1382
01:13:12,560 --> 01:13:16,519
Speaker 2: success after that one moment in time, and yet they're

1383
01:13:16,520 --> 01:13:20,640
Speaker 2: still treated as these like, you know, unassailable political geniuses

1384
01:13:20,800 --> 01:13:22,120
Speaker 2: within the party.

1385
01:13:22,280 --> 01:13:25,479
Speaker 3: I mean, we forget how incredibly unpopular George W. Bush was,

1386
01:13:26,120 --> 01:13:28,599
Speaker 3: like when people went to the polls in November two

1387
01:13:28,600 --> 01:13:31,600
Speaker 3: thousand and eight, how unpopular Republicans were, how bad the

1388
01:13:31,640 --> 01:13:34,200
Speaker 3: economy was. I mean, honestly, it wasn't that heavy of

1389
01:13:34,240 --> 01:13:36,280
Speaker 3: a lift when you have someone like Barack Obama. So

1390
01:13:36,360 --> 01:13:37,439
Speaker 3: that's a great point, Crystal.

1391
01:13:37,840 --> 01:13:40,080
Speaker 2: Yeah, and it turns out Hillary Clinton also not a

1392
01:13:40,080 --> 01:13:45,320
Speaker 2: great candidate, So yeah, not like Obama. Again, Barack Obama

1393
01:13:45,400 --> 01:13:48,160
Speaker 2: this extraordinary political figure. You know, even as we have

1394
01:13:48,200 --> 01:13:51,920
Speaker 2: ideological disagreements with him, Both of us do. But yeah,

1395
01:13:52,000 --> 01:13:55,040
Speaker 2: so they just continue to get these gigs and be

1396
01:13:55,120 --> 01:13:58,120
Speaker 2: treated like stage wisdom, and it's like, you know, maybe

1397
01:13:58,160 --> 01:14:00,639
Speaker 2: you all should move it along too, because you are

1398
01:14:00,680 --> 01:14:05,160
Speaker 2: also partly responsible, quite responsible for the loss of the

1399
01:14:05,200 --> 01:14:06,920
Speaker 2: country to the Republican Party.

1400
01:14:07,280 --> 01:14:15,000
Speaker 3: Thanks pop Ros. Senator Lindsay Graham had some predictably useful

1401
01:14:15,439 --> 01:14:19,320
Speaker 3: honesty to share about the ongoing and escalating conflict in

1402
01:14:19,439 --> 01:14:21,840
Speaker 3: Ukraine on Fox News recently. Let's take a listen to

1403
01:14:21,840 --> 01:14:22,240
Speaker 3: this club.

1404
01:14:22,760 --> 01:14:25,679
Speaker 8: Ukraine is still standing. This war is about money. People

1405
01:14:25,680 --> 01:14:28,200
Speaker 8: don't talk much about it, but you know, the richest

1406
01:14:28,200 --> 01:14:32,160
Speaker 8: country in all of Europe for rare earth minerals is Ukraine.

1407
01:14:32,560 --> 01:14:35,680
Speaker 8: Two to seven trillion dollars worth of minerals that are

1408
01:14:36,439 --> 01:14:39,639
Speaker 8: rare earth minerals very relevant to the twenty first century.

1409
01:14:40,400 --> 01:14:44,120
Speaker 8: Ukraine's ready to do a deal with us, not the Russians.

1410
01:14:44,479 --> 01:14:47,040
Speaker 8: So it's our interest to make sure that Russia doesn't

1411
01:14:47,040 --> 01:14:50,360
Speaker 8: take over the place. It's the bread basket of really

1412
01:14:50,439 --> 01:14:52,880
Speaker 8: the developing world. Fifty percent of all the food going

1413
01:14:52,920 --> 01:14:56,479
Speaker 8: to Africa comes out of Ukraine. We could make money

1414
01:14:57,040 --> 01:15:00,800
Speaker 8: and have an economic relationship with Ukraine to be beneficial

1415
01:15:01,120 --> 01:15:04,040
Speaker 8: to us with peace. So Donald Trump's going to do

1416
01:15:04,120 --> 01:15:07,360
Speaker 8: a deal to get our money back to enrich our

1417
01:15:07,400 --> 01:15:11,120
Speaker 8: sales with rare earth minerals, a good deal for Ukraine

1418
01:15:11,160 --> 01:15:14,599
Speaker 8: and US, and he's going to bring peace and Biden's

1419
01:15:14,640 --> 01:15:17,679
Speaker 8: been a disaster when it comes to containing bad guys.

1420
01:15:18,080 --> 01:15:21,559
Speaker 3: Okay, Well, that was Lindsay Graham on the on Sean

1421
01:15:21,600 --> 01:15:25,160
Speaker 3: Hannity Show just in the last several days. We can

1422
01:15:25,240 --> 01:15:28,240
Speaker 3: put actually D two up on the screen. So as

1423
01:15:28,280 --> 01:15:31,240
Speaker 3: you're listening to us talk about Lindsey Graham, if you're

1424
01:15:31,280 --> 01:15:34,240
Speaker 3: watching this, what you're going to see is footage of

1425
01:15:34,320 --> 01:15:38,160
Speaker 3: Russian ICBM missile strikes against a knee pro which is

1426
01:15:38,200 --> 01:15:41,639
Speaker 3: in Ukraine. So as Lindsay Graham is going on Sean

1427
01:15:41,680 --> 01:15:46,439
Speaker 3: Hannity to sell Republicans on this war being quote about money,

1428
01:15:46,800 --> 01:15:49,160
Speaker 3: and that's something that's you know, you hear it from

1429
01:15:49,200 --> 01:15:53,040
Speaker 3: Lindsay Graham and Lindsay gram types Mitch McConnell every once

1430
01:15:53,080 --> 01:15:55,960
Speaker 3: in a while. But what he said, I think is

1431
01:15:56,000 --> 01:16:00,800
Speaker 3: probably the most explicit bit of candor crystal that we've

1432
01:16:00,840 --> 01:16:05,040
Speaker 3: actually seen in a long time about where the heads

1433
01:16:05,320 --> 01:16:08,960
Speaker 3: of the people who are selling this war are at again.

1434
01:16:09,000 --> 01:16:10,400
Speaker 3: I'm just going to read the quote this war is

1435
01:16:10,439 --> 01:16:12,479
Speaker 3: about money. The richest country in all of Europe for

1436
01:16:12,600 --> 01:16:15,960
Speaker 3: rare earth minerals is Ukraine, two to seven trillion dollars worth.

1437
01:16:16,080 --> 01:16:18,120
Speaker 3: So don Trump's going to do a deal to get

1438
01:16:18,160 --> 01:16:23,719
Speaker 3: our money back to enrich ourselves with rare minerals. Meanwhile, Crystal,

1439
01:16:23,800 --> 01:16:27,000
Speaker 3: as we know, Ukraine is having a terribly difficult time

1440
01:16:27,040 --> 01:16:30,839
Speaker 3: recruiting its own people to fight this war. Well, Instagram

1441
01:16:31,000 --> 01:16:35,000
Speaker 3: is an air conditioned studio talking about getting our money

1442
01:16:35,000 --> 01:16:38,000
Speaker 3: back enriching ourselves with their rare earth minerals.

1443
01:16:38,479 --> 01:16:42,480
Speaker 2: Yep, you know, this is the sort of thing that leftists,

1444
01:16:42,760 --> 01:16:45,320
Speaker 2: you know, have been saying about this war and the

1445
01:16:45,320 --> 01:16:47,599
Speaker 2: real motivations for it from the beginning, and are treated

1446
01:16:47,640 --> 01:16:50,639
Speaker 2: as like, oh, you know, conspiratorial and cynical and whatever.

1447
01:16:50,720 --> 01:16:52,479
Speaker 2: But this explanation makes a hell of a lot more

1448
01:16:52,520 --> 01:16:56,240
Speaker 2: sense in terms of our involvement versus like, oh, freedom

1449
01:16:56,360 --> 01:17:01,759
Speaker 2: and democracy, given how clearly hypocritical we are about human rights,

1450
01:17:01,880 --> 01:17:04,840
Speaker 2: freedom and democracy around the world, just given, you know,

1451
01:17:04,960 --> 01:17:07,479
Speaker 2: just based on how we feel about that particular conflict,

1452
01:17:07,479 --> 01:17:11,440
Speaker 2: in the particular actors in the conflict. So this explanation

1453
01:17:11,640 --> 01:17:13,720
Speaker 2: makes a hell of a lot more sense than what

1454
01:17:13,800 --> 01:17:15,880
Speaker 2: has been fed to the American people, which is I

1455
01:17:15,960 --> 01:17:19,559
Speaker 2: think part of why your support for continuing to our

1456
01:17:19,760 --> 01:17:25,960
Speaker 2: Ukraine has really fallen off. And obviously, you know, we've

1457
01:17:26,000 --> 01:17:29,479
Speaker 2: come to a place where even Joe Biden couldn't really

1458
01:17:29,560 --> 01:17:33,400
Speaker 2: explain what the path forward is. Even the greatest supporter

1459
01:17:33,600 --> 01:17:37,360
Speaker 2: or started question whether this makes sense as an endless

1460
01:17:37,439 --> 01:17:43,120
Speaker 2: obligation moving forward because there is no path to victory

1461
01:17:43,720 --> 01:17:48,880
Speaker 2: at this point. You mentioned the ICBM missile. I mean,

1462
01:17:49,160 --> 01:17:51,680
Speaker 2: one of the things that's really significant about that is

1463
01:17:51,680 --> 01:17:55,040
Speaker 2: it just demonstrates like Russia has not used all of

1464
01:17:55,080 --> 01:17:59,080
Speaker 2: the capabilities that they have. There are more cards that

1465
01:17:59,120 --> 01:18:01,080
Speaker 2: they could put on the table, and there are not

1466
01:18:01,160 --> 01:18:04,000
Speaker 2: a lot more cards that Ukraine could ultimately put on

1467
01:18:04,080 --> 01:18:07,760
Speaker 2: the table. So I think that's really significant. At the

1468
01:18:07,760 --> 01:18:11,840
Speaker 2: same time, you know, those who have been felt that

1469
01:18:12,200 --> 01:18:16,280
Speaker 2: Trump is just going to, you know, unilaterally back out

1470
01:18:16,280 --> 01:18:20,080
Speaker 2: of this conflict, some of his advisors are singing a

1471
01:18:20,240 --> 01:18:24,960
Speaker 2: very different tune, and they're sort of indicating that actually

1472
01:18:25,000 --> 01:18:33,360
Speaker 2: his plan is to offer Ukraine vastly more weapons in

1473
01:18:33,600 --> 01:18:37,840
Speaker 2: order to coerce Russia to come to the table and negotiate.

1474
01:18:38,200 --> 01:18:40,640
Speaker 2: So Seb Gorka, who is now going to be a

1475
01:18:40,640 --> 01:18:44,439
Speaker 2: top advisor making this case. Michael Tracy clip this, and

1476
01:18:44,439 --> 01:18:47,439
Speaker 2: I think it's really important to listen to what he's saying.

1477
01:18:47,800 --> 01:18:51,120
Speaker 2: And Gorka has always been big into like we got

1478
01:18:51,160 --> 01:18:53,799
Speaker 2: to defend Ukraine. That's been one of his big things.

1479
01:18:54,640 --> 01:18:58,040
Speaker 2: What he is explaining Donald Trump's plan actually is, let's

1480
01:18:58,080 --> 01:18:58,720
Speaker 2: take a listen to that.

1481
01:18:59,160 --> 01:19:01,639
Speaker 9: I'll give one to a way that the President has mentioned.

1482
01:19:01,640 --> 01:19:05,400
Speaker 9: He will say to that murderous former KGB keronel, that

1483
01:19:05,680 --> 01:19:10,719
Speaker 9: thug who runs the Russian Federation, you will negotiate now,

1484
01:19:11,320 --> 01:19:14,360
Speaker 9: or the aid that we have given to Ukraine thus

1485
01:19:14,400 --> 01:19:18,639
Speaker 9: far will look like peanuts. That's how he will force

1486
01:19:18,680 --> 01:19:23,360
Speaker 9: those gentlemen to come to an arrangement that stops the bloodshed.

1487
01:19:23,680 --> 01:19:25,759
Speaker 2: He says, the aid that we have given to Ukraine

1488
01:19:25,800 --> 01:19:30,160
Speaker 2: so far will look like peanuts. And Mike Waltz, who

1489
01:19:30,560 --> 01:19:33,840
Speaker 2: has been selected as the next National Security Advisor, has

1490
01:19:33,880 --> 01:19:38,160
Speaker 2: made very similar comments. He said Russia can be pressured

1491
01:19:38,160 --> 01:19:41,800
Speaker 2: to come to the negotiating table via increased energy sanctions

1492
01:19:41,840 --> 01:19:45,160
Speaker 2: combined with taking the handcuffs off. I mean, this is

1493
01:19:45,240 --> 01:19:48,479
Speaker 2: rhetoric that you've heard from Republicans this whole time of

1494
01:19:48,560 --> 01:19:51,000
Speaker 2: like the problem with the Biden administration is that they're

1495
01:19:51,000 --> 01:19:53,400
Speaker 2: doing too little for Ukraine. They need to do more

1496
01:19:53,439 --> 01:19:55,920
Speaker 2: for Ukraine. They need to take the handcuffs off Ukraine

1497
01:19:56,040 --> 01:19:58,599
Speaker 2: and allow them to win. And so it was really

1498
01:19:58,600 --> 01:20:02,680
Speaker 2: noteworthy to hear Gorka and Waltz kind of marry that

1499
01:20:03,120 --> 01:20:05,880
Speaker 2: with Trump's comments that, oh, I'm going to end this conflict.

1500
01:20:06,200 --> 01:20:08,280
Speaker 2: But apparently the mode that he's planning to end the

1501
01:20:08,280 --> 01:20:12,240
Speaker 2: conflict with is by offering Ukraine. We're threatened to give

1502
01:20:12,400 --> 01:20:15,680
Speaker 2: Ukraine vastly more capabilities than they've already been given at

1503
01:20:15,680 --> 01:20:16,360
Speaker 2: this point.

1504
01:20:16,560 --> 01:20:18,880
Speaker 3: And against the backdrop of if we put B, if

1505
01:20:18,880 --> 01:20:21,400
Speaker 3: we put D three up on the screen, this is

1506
01:20:21,560 --> 01:20:24,000
Speaker 3: what's happening and unfolding over the last couple of days.

1507
01:20:24,000 --> 01:20:27,000
Speaker 3: We showed the vo earlier. We're watching what was happening.

1508
01:20:27,040 --> 01:20:30,440
Speaker 3: But just reading from Reuter's here, Russia fire to hypersonic

1509
01:20:30,479 --> 01:20:33,240
Speaker 3: intermediate range ballistic missile at Ukrainian city of de Nepro

1510
01:20:33,320 --> 01:20:35,479
Speaker 3: on Thursday, in response to the US and UK's allowing

1511
01:20:35,520 --> 01:20:38,760
Speaker 3: Kiev to strike Russian territory with advanced Western weapons and

1512
01:20:38,800 --> 01:20:42,400
Speaker 3: a further escalation of the thirty three month old war. Putin,

1513
01:20:42,439 --> 01:20:45,240
Speaker 3: in a televis address, said Moscow struck a Ukrainian military

1514
01:20:45,240 --> 01:20:48,080
Speaker 3: facility with a new medium range tripersonic ballistic missile known

1515
01:20:48,160 --> 01:20:51,080
Speaker 3: as a Rashnik, and warned that Moore could follow. He

1516
01:20:51,120 --> 01:20:53,640
Speaker 3: said civilians would be warned ahead of further strikes with

1517
01:20:53,920 --> 01:20:56,639
Speaker 3: such weapons. So this is sort of old news by now,

1518
01:20:56,680 --> 01:20:59,840
Speaker 3: but I think it's worth remembering in the context of

1519
01:21:00,120 --> 01:21:03,240
Speaker 3: Graham's comments and the context of what Crystal just showed

1520
01:21:03,280 --> 01:21:06,479
Speaker 3: from somebody we now know is going to be a

1521
01:21:06,520 --> 01:21:08,560
Speaker 3: senior advisor to Donald Trump. Now, there are going to

1522
01:21:08,600 --> 01:21:11,800
Speaker 3: be people around Donald Trump who disagree bitterly with what

1523
01:21:11,840 --> 01:21:14,880
Speaker 3: Gorka just said. That who would laugh frankly at what

1524
01:21:14,960 --> 01:21:18,200
Speaker 3: Gorka just said. But if we put the next element

1525
01:21:18,280 --> 01:21:20,439
Speaker 3: on the screen, this is going to be D four.

1526
01:21:20,640 --> 01:21:23,360
Speaker 3: It's a tweet from k File, who was digging through

1527
01:21:23,400 --> 01:21:26,320
Speaker 3: a new CBS pole. It shows, by a fifty one

1528
01:21:26,400 --> 01:21:29,080
Speaker 3: to forty nine percent margin, Americans think we should no

1529
01:21:29,160 --> 01:21:34,679
Speaker 3: longer send weapons to Ukraine, per a CBS pole and Crystal.

1530
01:21:34,800 --> 01:21:38,280
Speaker 3: That's not in any way surprising at this point, and

1531
01:21:38,320 --> 01:21:40,840
Speaker 3: part of the reason is because people like Lindsay Graham

1532
01:21:40,880 --> 01:21:43,640
Speaker 3: are doing such a god awful job of continuing to

1533
01:21:43,720 --> 01:21:48,400
Speaker 3: sell the war to the American people. That's not to say,

1534
01:21:48,560 --> 01:21:50,439
Speaker 3: you know, if they were doing a great job selling

1535
01:21:50,479 --> 01:21:52,400
Speaker 3: the word to the American people, it would be you know,

1536
01:21:52,479 --> 01:21:55,120
Speaker 3: suddenly everyone would be like, yes, we must fight, this

1537
01:21:55,160 --> 01:21:57,840
Speaker 3: is about democracy and freedom. It is to say, though,

1538
01:21:57,880 --> 01:22:01,040
Speaker 3: that the decline is because people I can see past

1539
01:22:01,160 --> 01:22:03,200
Speaker 3: some of the spin, and the spin has gotten I think,

1540
01:22:03,400 --> 01:22:05,880
Speaker 3: especially desperate. That's what the Lindsay Graham clip looks like

1541
01:22:05,960 --> 01:22:06,120
Speaker 3: to me.

1542
01:22:06,280 --> 01:22:09,080
Speaker 2: Just yeah, I think that's true. And I do think

1543
01:22:09,120 --> 01:22:12,320
Speaker 2: that Gaza has really undercut there any sort of credibility

1544
01:22:12,360 --> 01:22:15,000
Speaker 2: that they care about democracy, human rights, et cetera, et cetera.

1545
01:22:15,120 --> 01:22:17,599
Speaker 2: You can't have that split screen and have people really

1546
01:22:17,640 --> 01:22:19,880
Speaker 2: feel like, oh, yeah, we're the good guys. Yeah, I'm

1547
01:22:19,880 --> 01:22:21,760
Speaker 2: sure that's what we're that's what we're in there for.

1548
01:22:21,800 --> 01:22:25,000
Speaker 2: It's just because we are so concerned about international law, Like,

1549
01:22:25,160 --> 01:22:28,200
Speaker 2: give me a break, it's preposterous at this point. Meanwhile,

1550
01:22:28,240 --> 01:22:29,880
Speaker 2: you know, tell me how you feel about the ICC

1551
01:22:30,080 --> 01:22:32,759
Speaker 2: arrest warrants. Tell me how you feel about the ICJ

1552
01:22:32,960 --> 01:22:35,920
Speaker 2: saying is plausible they're committing a genocide. Tell me how

1553
01:22:35,920 --> 01:22:38,080
Speaker 2: you feel about even you know, the lack of enforcement

1554
01:22:38,120 --> 01:22:41,479
Speaker 2: of our own laws that say that we should not

1555
01:22:41,520 --> 01:22:44,160
Speaker 2: be shipping military weapons to a country that is blocking

1556
01:22:44,280 --> 01:22:48,400
Speaker 2: humanitarian aid, which every independent organization around the world says

1557
01:22:48,439 --> 01:22:52,880
Speaker 2: clearly Israel Is and has been doing. So it's hard

1558
01:22:52,920 --> 01:22:54,920
Speaker 2: to be like, yeah, we're the good guys, we're the

1559
01:22:54,920 --> 01:22:58,040
Speaker 2: noble saviors of the world and enforcers of the international

1560
01:22:58,120 --> 01:23:01,559
Speaker 2: order on the one hand, when in another conflict, it's

1561
01:23:01,720 --> 01:23:04,800
Speaker 2: so clear that we are on the opposite side of

1562
01:23:04,960 --> 01:23:07,840
Speaker 2: any of that. So, you know, just you know, my

1563
01:23:08,240 --> 01:23:12,600
Speaker 2: final thought in terms of Gorka's comments, what was significant

1564
01:23:12,640 --> 01:23:15,400
Speaker 2: to me about what he said. Isn't him holding that

1565
01:23:15,680 --> 01:23:18,360
Speaker 2: view per se, although that is also noteworthy because he

1566
01:23:18,479 --> 01:23:22,040
Speaker 2: is going to be in a key advisory position, But

1567
01:23:21,520 --> 01:23:25,080
Speaker 2: he is claiming that what he is saying he is

1568
01:23:25,080 --> 01:23:28,080
Speaker 2: speaking for Donald Trump. He's claiming that this is Trump's

1569
01:23:28,080 --> 01:23:32,600
Speaker 2: plan that he's laying out. And Trump has been extremely

1570
01:23:32,680 --> 01:23:35,679
Speaker 2: cagy about any sort of questions about how you would

1571
01:23:35,720 --> 01:23:38,000
Speaker 2: resolve this conflict. He always goes back to what it

1572
01:23:38,000 --> 01:23:40,759
Speaker 2: wouldn't have happened under me, which you know, who knows.

1573
01:23:41,320 --> 01:23:43,040
Speaker 2: But some of the things that he did, actually, some

1574
01:23:43,120 --> 01:23:46,120
Speaker 2: of the hawkish behavior he had towards Russia, which was

1575
01:23:46,200 --> 01:23:48,559
Speaker 2: under covered by the media because they wanted the like

1576
01:23:48,640 --> 01:23:52,000
Speaker 2: Russia Gate narrative. Some of that was used by Putin

1577
01:23:52,040 --> 01:23:56,320
Speaker 2: as part of his justification for invading Ukraine. Obviously the

1578
01:23:56,360 --> 01:23:59,160
Speaker 2: fault lies on Putin. I'm not, you know, denying his responsibility,

1579
01:23:59,160 --> 01:24:01,160
Speaker 2: et cetera. But anyway, I don't want to get too

1580
01:24:01,160 --> 01:24:03,320
Speaker 2: far a field with all of that. But he falls

1581
01:24:03,360 --> 01:24:07,320
Speaker 2: back on wouldn't have happened under me? And you know,

1582
01:24:07,439 --> 01:24:09,040
Speaker 2: I'm going to solve it. I can't tell you how,

1583
01:24:09,439 --> 01:24:10,720
Speaker 2: because you know, I don't want to. I don't want

1584
01:24:10,720 --> 01:24:13,200
Speaker 2: to show my hand. So that's to me. What's so

1585
01:24:13,240 --> 01:24:17,120
Speaker 2: important about Gorka's comments here is he purports to be

1586
01:24:17,240 --> 01:24:20,920
Speaker 2: representing some of what Donald Trump actually plans to do here.

1587
01:24:21,280 --> 01:24:24,719
Speaker 2: And yeah, I think it's quite quite significantly different from

1588
01:24:24,840 --> 01:24:28,599
Speaker 2: what opponents of this war thought that Trump's plan would

1589
01:24:28,640 --> 01:24:30,840
Speaker 2: be going in, Like they were not thinking, oh, yeah,

1590
01:24:30,880 --> 01:24:34,160
Speaker 2: he's gonna he's going to escalate, to de escalate effectively.

1591
01:24:34,880 --> 01:24:37,479
Speaker 3: Well, and what happened in the in Congress in the

1592
01:24:37,520 --> 01:24:41,479
Speaker 3: spring is that Republicans tried to tie border funding too,

1593
01:24:41,680 --> 01:24:44,360
Speaker 3: and this was I think strategically smart, but to increase

1594
01:24:44,520 --> 01:24:47,800
Speaker 3: Ukraine aid. And so when people like Marco Rubio and

1595
01:24:47,920 --> 01:24:52,000
Speaker 3: Mike Waltz voted against Ukraine aid. They had that kind

1596
01:24:52,040 --> 01:24:53,880
Speaker 3: of I don't know if fig leaf is the right word,

1597
01:24:53,920 --> 01:24:55,880
Speaker 3: but they sort of had that excuse that it was

1598
01:24:55,920 --> 01:24:59,720
Speaker 3: because they couldn't get the Swamp to agree to you know,

1599
01:25:00,000 --> 01:25:03,320
Speaker 3: creasing border security and so you can't be sending more

1600
01:25:03,400 --> 01:25:06,599
Speaker 3: to Ukraine without securing the American border. But that doesn't

1601
01:25:06,600 --> 01:25:10,760
Speaker 3: mean they weren't in favor of sending more to Ukraine, right, Yeah,

1602
01:25:10,800 --> 01:25:14,640
Speaker 3: So it's it's sort of a how much have some

1603
01:25:14,680 --> 01:25:17,080
Speaker 3: of these Republicans actually evolved on the war. Is it

1604
01:25:17,560 --> 01:25:19,840
Speaker 3: further in line with where the public has evolved on

1605
01:25:19,880 --> 01:25:22,960
Speaker 3: the war? I don't know, because it's actually sort of

1606
01:25:23,360 --> 01:25:28,800
Speaker 3: Trump gives everyone a nice kind of cover with this. Again.

1607
01:25:28,920 --> 01:25:31,439
Speaker 3: I actually think this is sort of a political stroke

1608
01:25:31,479 --> 01:25:33,880
Speaker 3: of political genius from Trump. But he's the only one

1609
01:25:33,880 --> 01:25:36,040
Speaker 3: that can get away with it just saying, hey, we'll

1610
01:25:36,040 --> 01:25:37,920
Speaker 3: make a deal. We'll make a deal. You know, there's

1611
01:25:37,960 --> 01:25:39,960
Speaker 3: nobody else who could just do that, who could just

1612
01:25:40,000 --> 01:25:42,360
Speaker 3: say that and have that either position on Ukraine people.

1613
01:25:42,360 --> 01:25:44,800
Speaker 2: I feel like, all right, maybe, yeah. It's also I

1614
01:25:44,800 --> 01:25:48,080
Speaker 2: always point this out too. Trump is about relationships. He

1615
01:25:48,200 --> 01:25:52,679
Speaker 2: likes Zelensky, he likes Selensky, He's always likes Zelensky. Zelenski

1616
01:25:52,760 --> 01:25:55,040
Speaker 2: was the other partner on the perfect phone call. He

1617
01:25:55,120 --> 01:25:57,680
Speaker 2: appreciates that he didn't throw him under the bus, and

1618
01:25:57,880 --> 01:26:02,360
Speaker 2: you know when that all drama was unfolding, that he

1619
01:26:02,479 --> 01:26:05,160
Speaker 2: sort of like stood by his side. Zelenski made the

1620
01:26:05,200 --> 01:26:07,920
Speaker 2: truck down tomorrow lago they had a little photo op

1621
01:26:08,000 --> 01:26:12,080
Speaker 2: together whatever, And so that relationship dynamic can be underestimated

1622
01:26:12,120 --> 01:26:16,920
Speaker 2: in this situation either. So, Emily, we got a little

1623
01:26:16,960 --> 01:26:20,880
Speaker 2: zoomer news for the publics. This chart just caught my eye.

1624
01:26:20,880 --> 01:26:22,439
Speaker 2: I'm curious what you make of this. Let's put this

1625
01:26:22,520 --> 01:26:26,559
Speaker 2: up on the screen. They ask people, Okay, how much

1626
01:26:26,640 --> 01:26:32,160
Speaker 2: money do you need to consider yourself financially successful? Okay,

1627
01:26:32,200 --> 01:26:33,960
Speaker 2: And this is what it looked like by the numbers.

1628
01:26:34,160 --> 01:26:38,160
Speaker 2: So overall people say, Okay, if I had two hundred

1629
01:26:38,160 --> 01:26:40,240
Speaker 2: and seventy thousand dollars that I was making a year,

1630
01:26:40,280 --> 01:26:43,840
Speaker 2: I would consider myself financially successful. Was a lot of money.

1631
01:26:43,920 --> 01:26:46,120
Speaker 2: If you look at millennials, they say one hundred and

1632
01:26:46,160 --> 01:26:48,559
Speaker 2: eighty K. If you look at gen X, they say

1633
01:26:48,560 --> 01:26:51,120
Speaker 2: two hundred and twelve. If you look at boomers, they

1634
01:26:51,160 --> 01:26:53,760
Speaker 2: say just under one hundred k. If you look at

1635
01:26:53,800 --> 01:26:57,600
Speaker 2: gen Z. They say almost six hundred thousand dollars a

1636
01:26:57,720 --> 01:27:00,960
Speaker 2: year is what they would need to he considered to

1637
01:27:01,000 --> 01:27:05,559
Speaker 2: consider themselves financially successful, and the dynamic is similar when

1638
01:27:05,560 --> 01:27:08,200
Speaker 2: they think about net worth as well. Gen Z feels

1639
01:27:08,200 --> 01:27:10,160
Speaker 2: like they would need a net worth of almost ten

1640
01:27:10,280 --> 01:27:15,479
Speaker 2: million dollars to consider themselves financially successful. What do you

1641
01:27:15,560 --> 01:27:17,080
Speaker 2: make of this, Emily, Where do you think that this

1642
01:27:17,160 --> 01:27:17,639
Speaker 2: comes from?

1643
01:27:18,920 --> 01:27:23,559
Speaker 3: I have no idea. I looked at the methodology of

1644
01:27:23,560 --> 01:27:25,679
Speaker 3: the survey and it was an online poll of people

1645
01:27:25,760 --> 01:27:29,200
Speaker 3: who were over the age of eighteen, and so, I mean,

1646
01:27:29,200 --> 01:27:30,840
Speaker 3: I don't know if part of this is just gen

1647
01:27:30,960 --> 01:27:34,200
Speaker 3: Z is younger and in a demographic where it's like

1648
01:27:34,280 --> 01:27:35,800
Speaker 3: hard to assess what.

1649
01:27:35,880 --> 01:27:39,360
Speaker 2: They don't really know, right. I would almost think that

1650
01:27:39,360 --> 01:27:41,720
Speaker 2: that would argue in the other direction though, because I

1651
01:27:41,720 --> 01:27:44,480
Speaker 2: feel like, until you start paying bills, you don't realize

1652
01:27:44,880 --> 01:27:47,760
Speaker 2: how much everything costs and how expends it, how much

1653
01:27:47,760 --> 01:27:50,479
Speaker 2: money you need to make in order to like have

1654
01:27:50,560 --> 01:27:53,920
Speaker 2: a house and have healthcare and whatever. But I don't know,

1655
01:27:53,960 --> 01:28:00,520
Speaker 2: I feel like it's all like their favorite YouTubers TikTokers Instagram,

1656
01:28:00,800 --> 01:28:05,240
Speaker 2: the life that's depicted is very luxurious. I agree, So

1657
01:28:05,280 --> 01:28:08,720
Speaker 2: If that's considered like this is, you know, living like

1658
01:28:09,600 --> 01:28:12,920
Speaker 2: to use a really stereotypical example, but like living like

1659
01:28:13,040 --> 01:28:15,479
Speaker 2: mister Beast is like what it looks like to be

1660
01:28:15,920 --> 01:28:19,439
Speaker 2: financially successful, then yeah, you probably do need to make

1661
01:28:19,520 --> 01:28:22,200
Speaker 2: like six hundred thousand dollars a year to be able

1662
01:28:22,240 --> 01:28:26,400
Speaker 2: to afford that level of like travel and the beautiful

1663
01:28:26,400 --> 01:28:29,479
Speaker 2: home that's always on display, and the very curated life

1664
01:28:29,520 --> 01:28:32,000
Speaker 2: and the products that are being pitched to you on

1665
01:28:32,040 --> 01:28:32,920
Speaker 2: TikTok et cetera.

1666
01:28:34,080 --> 01:28:35,960
Speaker 3: Right, And that's where I still think maybe this is

1667
01:28:36,000 --> 01:28:39,639
Speaker 3: the best explanation is is youth And maybe the inverse

1668
01:28:39,680 --> 01:28:41,880
Speaker 3: way that you were talking about is they don't understand

1669
01:28:41,960 --> 01:28:45,160
Speaker 3: how much life costs, so they just like grossly overestimate

1670
01:28:45,800 --> 01:28:49,240
Speaker 3: it's going to cost because they're told over and over again, rightfully,

1671
01:28:49,479 --> 01:28:51,120
Speaker 3: that the cost of living is going up, that it's

1672
01:28:51,120 --> 01:28:55,200
Speaker 3: increasingly harder to be successful in the United States. All

1673
01:28:55,280 --> 01:28:58,560
Speaker 3: that is true, but I wonder if that, like dumerism,

1674
01:28:58,960 --> 01:29:02,639
Speaker 3: just made them totally overestimate, combined with like the luxury

1675
01:29:03,120 --> 01:29:05,479
Speaker 3: new standard of what it looks like to be quote

1676
01:29:05,560 --> 01:29:09,639
Speaker 3: unquote successful, if you're inundated with TikTok influencers and Instagram

1677
01:29:09,680 --> 01:29:13,120
Speaker 3: influencers over and over again. Instead of like this definition

1678
01:29:13,200 --> 01:29:16,519
Speaker 3: of success being like the two kids white picket fence,

1679
01:29:17,200 --> 01:29:20,160
Speaker 3: sending them to college, whatever that most other generations are

1680
01:29:20,240 --> 01:29:23,559
Speaker 3: raised on that's been shattered, like post nine to eleven.

1681
01:29:23,600 --> 01:29:25,080
Speaker 3: If you grew up post nine to eleven, that's just

1682
01:29:25,160 --> 01:29:30,479
Speaker 3: not what you consider financial success anymore. You're totally in

1683
01:29:30,520 --> 01:29:33,479
Speaker 3: a different You're swimming in very different waters and influencer culture.

1684
01:29:33,560 --> 01:29:36,599
Speaker 3: So that's my best guess as to why it's such

1685
01:29:36,600 --> 01:29:39,040
Speaker 3: an outlier, but it's quite bizarre.

1686
01:29:39,520 --> 01:29:42,559
Speaker 2: The gult between Millennials and Gen Z also very interesting

1687
01:29:42,600 --> 01:29:45,360
Speaker 2: there because Millennials had some of the more modest outside

1688
01:29:45,400 --> 01:29:48,120
Speaker 2: of boomers. They had the most modest expectations of like

1689
01:29:48,280 --> 01:29:50,479
Speaker 2: what financial success would look like, which I do think

1690
01:29:50,479 --> 01:29:55,839
Speaker 2: also makes sense for millennials being the youngest like generation

1691
01:29:55,920 --> 01:29:58,720
Speaker 2: that is fully adult, right, some Zoomers are adult, but

1692
01:29:58,800 --> 01:30:02,639
Speaker 2: some are not fully adult yet. But also given that

1693
01:30:02,800 --> 01:30:05,160
Speaker 2: we came of age during the financial crisis and that

1694
01:30:05,280 --> 01:30:07,879
Speaker 2: set back a lot of expectations for what was possible

1695
01:30:08,320 --> 01:30:11,679
Speaker 2: and you know, what was achievable and what you needed

1696
01:30:11,720 --> 01:30:14,160
Speaker 2: to be able to make do with, so that also

1697
01:30:14,840 --> 01:30:16,800
Speaker 2: makes sense to me. But yeah, I think I think

1698
01:30:16,800 --> 01:30:19,599
Speaker 2: for zoomers there's a sense of like, financial success means

1699
01:30:19,880 --> 01:30:24,479
Speaker 2: you're going to have a you know, beautifully pristine designed home.

1700
01:30:24,960 --> 01:30:27,559
Speaker 2: You're gonna be able to order Uber eats whenever you want,

1701
01:30:27,760 --> 01:30:30,200
Speaker 2: like you know, Uber eat sushi whenever you want, and

1702
01:30:30,240 --> 01:30:32,000
Speaker 2: not have to worry about it. You're gonna be able

1703
01:30:32,000 --> 01:30:34,559
Speaker 2: to like, you know, buy the things that your favorite

1704
01:30:34,600 --> 01:30:37,920
Speaker 2: creators like wear or try to sell to you, et cetera.

1705
01:30:38,439 --> 01:30:41,240
Speaker 2: And they're not wrong that to do all of those

1706
01:30:41,280 --> 01:30:44,240
Speaker 2: things would take quite a significant amount of money every year.

1707
01:30:44,920 --> 01:30:47,679
Speaker 3: Yeah, no question about that. Now for some I think

1708
01:30:47,760 --> 01:30:50,519
Speaker 3: even worst news Crystal, if we put the next element

1709
01:30:50,640 --> 01:30:54,479
Speaker 3: up on the screen, this is E two gen z

1710
01:30:54,680 --> 01:30:57,639
Speaker 3: is not only are they financially completely out of whack,

1711
01:30:57,680 --> 01:31:00,280
Speaker 3: they're just not watching TV, Crystal. And for me, that's

1712
01:31:00,280 --> 01:31:05,200
Speaker 3: wrong with this incredibly disturbing. As this excuser who posted

1713
01:31:05,200 --> 01:31:07,720
Speaker 3: this says, Americans aged eighteen to thirty four watch less

1714
01:31:07,720 --> 01:31:10,720
Speaker 3: than five hours of TV per week. That is insane.

1715
01:31:11,200 --> 01:31:13,880
Speaker 3: Those aged sixty five and older watched more than forty

1716
01:31:13,920 --> 01:31:16,519
Speaker 3: hours per week. I actually guess, Christal, I'm not looking

1717
01:31:16,520 --> 01:31:19,800
Speaker 3: at this. I am in the eighteen to thirty four

1718
01:31:20,360 --> 01:31:23,719
Speaker 3: craphic and let me tell you, I watched way more

1719
01:31:23,760 --> 01:31:25,040
Speaker 3: than five hours.

1720
01:31:25,439 --> 01:31:27,200
Speaker 2: Oh really, I watched like.

1721
01:31:27,200 --> 01:31:28,479
Speaker 3: Five hours of TV a day.

1722
01:31:30,479 --> 01:31:33,280
Speaker 2: Not actually, I mean I sort of going ways with

1723
01:31:33,320 --> 01:31:35,240
Speaker 2: it right at the moment. I don't really watch any TV,

1724
01:31:35,439 --> 01:31:38,320
Speaker 2: to be honest with you. Like, I mean, Kyle always

1725
01:31:38,360 --> 01:31:40,080
Speaker 2: has like Eve of the golf channel or the Weather

1726
01:31:40,160 --> 01:31:42,760
Speaker 2: channel on in the background because he's the ten year

1727
01:31:42,800 --> 01:31:45,559
Speaker 2: old man trapped in the thirty year old man's body.

1728
01:31:45,640 --> 01:31:47,519
Speaker 3: But I love that.

1729
01:31:48,000 --> 01:31:50,000
Speaker 2: Yeah, there's a lot of Weather Channel on at our house.

1730
01:31:50,040 --> 01:31:53,200
Speaker 2: It's pretty funny. He's into it. But in terms of

1731
01:31:53,240 --> 01:31:57,320
Speaker 2: me like sitting down and watching a show, I yeah,

1732
01:31:57,360 --> 01:32:00,800
Speaker 2: not so much. It's part of why I'm so pop

1733
01:32:00,840 --> 01:32:05,760
Speaker 2: culturally ignorant. I guess, well, no you're not.

1734
01:32:05,920 --> 01:32:07,880
Speaker 3: I mean, Christly, you're the one who knows about the

1735
01:32:07,880 --> 01:32:10,000
Speaker 3: influencer selling the crazy clothes on.

1736
01:32:10,439 --> 01:32:12,920
Speaker 2: The time that's only vicariously through my sixteen year old.

1737
01:32:15,320 --> 01:32:18,240
Speaker 3: Well, this is like, this would be really I think

1738
01:32:18,240 --> 01:32:20,439
Speaker 3: this would be really great news if it wasn't the

1739
01:32:20,520 --> 01:32:23,960
Speaker 3: substitute being something that I think is much actually worse

1740
01:32:24,000 --> 01:32:26,160
Speaker 3: than TV's, which is phones. And this is like an

1741
01:32:26,160 --> 01:32:27,760
Speaker 3: obvious point. I don't need to be the one to

1742
01:32:27,760 --> 01:32:30,760
Speaker 3: say this but obviously the reason that younger people aren't

1743
01:32:30,760 --> 01:32:33,160
Speaker 3: watching as much TV as older people is because they're

1744
01:32:33,360 --> 01:32:37,479
Speaker 3: literally watching social media videos that are extremely entertaining but

1745
01:32:37,720 --> 01:32:42,559
Speaker 3: are also scientifically chemically addictive to your brain in a

1746
01:32:42,560 --> 01:32:46,920
Speaker 3: way that TV obviously isn't. TV is not algorithmic. It

1747
01:32:47,400 --> 01:32:51,040
Speaker 3: may be really harmful in terms of creating sedentary lifestyles

1748
01:32:51,040 --> 01:32:54,400
Speaker 3: that have contributed to chronic disease, but it's it's not

1749
01:32:54,800 --> 01:33:01,439
Speaker 3: actually like gamified into casino level addictiveness like social media is.

1750
01:33:01,479 --> 01:33:04,960
Speaker 3: It's such a powerful, powerful tool. So I would be

1751
01:33:05,160 --> 01:33:07,559
Speaker 3: excited about, you know, people watching less TV, even though

1752
01:33:07,600 --> 01:33:11,639
Speaker 3: I love TV and TV's life, if if it weren't

1753
01:33:11,640 --> 01:33:14,720
Speaker 3: being replaced by the phone screens, which by the way,

1754
01:33:14,720 --> 01:33:17,360
Speaker 3: the content is come on, there's so much good stuff

1755
01:33:17,400 --> 01:33:19,240
Speaker 3: on TV. I mean, it just makes me so sad,

1756
01:33:19,320 --> 01:33:23,000
Speaker 3: Crystal that people don't have the linear cable experience of

1757
01:33:23,040 --> 01:33:25,160
Speaker 3: like flipping through the channels and watching you know, the

1758
01:33:25,200 --> 01:33:26,840
Speaker 3: middle of Happy Gilmore and then.

1759
01:33:26,760 --> 01:33:30,240
Speaker 2: Going to channel that is the last time, isn't it?

1760
01:33:30,360 --> 01:33:32,280
Speaker 2: Especially around this time of year, this will be a

1761
01:33:32,280 --> 01:33:34,680
Speaker 2: good transition into like the Thanksgiving conversation. This is the

1762
01:33:34,680 --> 01:33:37,080
Speaker 2: time of year when all of those like whatever the

1763
01:33:37,120 --> 01:33:40,000
Speaker 2: movies are that they bought the rights to. They're just constantly,

1764
01:33:40,680 --> 01:33:43,960
Speaker 2: you know, on TV, whether it's like, what was it

1765
01:33:44,000 --> 01:33:48,280
Speaker 2: the like the Charlie Brown Christmas movie would be on

1766
01:33:48,960 --> 01:33:50,559
Speaker 2: that one with the Little Boy with the Big co

1767
01:33:50,720 --> 01:33:54,559
Speaker 2: with that Christmas movie the Christmas is called Christmas Story

1768
01:33:54,640 --> 01:33:55,400
Speaker 2: or something like that.

1769
01:33:55,560 --> 01:33:56,840
Speaker 3: Oh you're talking about Christmas Story.

1770
01:33:56,840 --> 01:33:59,839
Speaker 2: Oh yeah, great, Yeah that was a classic Happy Gilmore

1771
01:33:59,880 --> 01:34:04,080
Speaker 2: that was one that was on in heavy rotation. Yeah,

1772
01:34:04,120 --> 01:34:06,280
Speaker 2: there were a bunch of them that just like, yeah,

1773
01:34:06,360 --> 01:34:08,679
Speaker 2: you were like, oh, I'll watch the last forty minutes

1774
01:34:08,720 --> 01:34:10,559
Speaker 2: of this movie that.

1775
01:34:10,520 --> 01:34:12,440
Speaker 3: I already automobiles.

1776
01:34:12,520 --> 01:34:15,160
Speaker 2: Yeah, putting it on the on TV now it's the

1777
01:34:15,160 --> 01:34:18,040
Speaker 2: destruction of It is the destruction of the monoculture. You know,

1778
01:34:19,040 --> 01:34:22,599
Speaker 2: there are very few sort of cultural touchstone points now

1779
01:34:22,680 --> 01:34:28,720
Speaker 2: that everyone can reference, which is part of why there's

1780
01:34:28,760 --> 01:34:33,280
Speaker 2: still so much reference to like millennial culture, because that

1781
01:34:33,360 --> 01:34:36,920
Speaker 2: was the last time when there was anything approaching a

1782
01:34:37,080 --> 01:34:41,160
Speaker 2: kind of like significant monoculture. You do have some things

1783
01:34:41,200 --> 01:34:43,800
Speaker 2: that break out of that, like Barbie and Oppenheimer or

1784
01:34:43,800 --> 01:34:47,560
Speaker 2: the classic example. They're trying to make Wicked and Gladiator

1785
01:34:47,600 --> 01:34:51,080
Speaker 2: to kind of like a similar energy, but yeah, it'll

1786
01:34:51,280 --> 01:34:52,960
Speaker 2: never be what it was, Emily.

1787
01:34:52,880 --> 01:34:55,400
Speaker 3: No, and cable was the stepping stone away from monoculture,

1788
01:34:55,400 --> 01:34:57,320
Speaker 3: which is funny. So I we're kind of like waxing

1789
01:34:57,360 --> 01:35:01,800
Speaker 3: nostalgic over it now because it was like the it

1790
01:35:01,880 --> 01:35:05,640
Speaker 3: was breaking up the you know, broadcast networks, which were

1791
01:35:05,680 --> 01:35:08,880
Speaker 3: even less choice. You had even less choice. We were

1792
01:35:08,880 --> 01:35:12,920
Speaker 3: all watching way more similar content before cable. But it's

1793
01:35:13,080 --> 01:35:17,840
Speaker 3: it's still just you know, the TikTok is so algorithmic,

1794
01:35:17,880 --> 01:35:20,639
Speaker 3: and niche a fied and so it was Instagram. There's

1795
01:35:20,680 --> 01:35:25,400
Speaker 3: some stuff that rises above Barbie Oppenheimer, particularly viral memes,

1796
01:35:25,520 --> 01:35:29,880
Speaker 3: but we I don't know, we gained a lot from

1797
01:35:30,200 --> 01:35:33,120
Speaker 3: you know, being forced to watch the same like five

1798
01:35:33,200 --> 01:35:37,759
Speaker 3: things at the same exact time before you could record things.

1799
01:35:39,640 --> 01:35:42,080
Speaker 2: And yet here we are on YouTube being the ones

1800
01:35:42,080 --> 01:35:44,320
Speaker 2: to benefit from the shattering of the monoculture.

1801
01:35:44,479 --> 01:35:47,280
Speaker 3: I know, I was gonna say, it's it is a

1802
01:35:47,320 --> 01:35:49,840
Speaker 3: total double edged sword. There's some good, there's some bad,

1803
01:35:50,479 --> 01:35:53,760
Speaker 3: but you know, for example, I could only watch all

1804
01:35:53,800 --> 01:35:57,000
Speaker 3: of Dawson's Creek after DVR came out because TBS would

1805
01:35:57,040 --> 01:35:59,280
Speaker 3: play it every morning while I was at school. I'd

1806
01:35:59,280 --> 01:36:01,840
Speaker 3: set the DVR and then it would come home. It

1807
01:36:01,840 --> 01:36:04,599
Speaker 3: would be there before my parents got home. Sorry, Mom

1808
01:36:04,600 --> 01:36:07,240
Speaker 3: and dad. And that's how I was able to watch it.

1809
01:36:07,280 --> 01:36:09,600
Speaker 3: So technology can be good, Crystal.

1810
01:36:09,520 --> 01:36:12,240
Speaker 2: Yeah, that's true. That is true, double edged sword. I think,

1811
01:36:12,400 --> 01:36:15,080
Speaker 2: you know, back at the advent of TV, there is

1812
01:36:15,120 --> 01:36:17,720
Speaker 2: a lot of concern about what it would do to us,

1813
01:36:18,439 --> 01:36:21,280
Speaker 2: and people cite that a lot as justification for like, yeah,

1814
01:36:21,320 --> 01:36:25,120
Speaker 2: maybe we're overly concerned about social media and new media

1815
01:36:25,160 --> 01:36:27,400
Speaker 2: and what it's doing to our kids' brains. But my

1816
01:36:27,920 --> 01:36:30,559
Speaker 2: view is that they were probably right about TV being

1817
01:36:30,600 --> 01:36:33,840
Speaker 2: bad for us. Yeah, just we've grown accustomed to it,

1818
01:36:34,360 --> 01:36:38,960
Speaker 2: and we are probably also right about social media and

1819
01:36:39,160 --> 01:36:42,720
Speaker 2: the shortened attention spans and the way that that gamification

1820
01:36:42,840 --> 01:36:45,360
Speaker 2: and the algorithm and what that is doing to our brains.

1821
01:36:45,360 --> 01:36:47,599
Speaker 2: We're probably also right about that being bad. And we're

1822
01:36:47,640 --> 01:36:50,479
Speaker 2: probably also find a decade from now, people will just

1823
01:36:50,520 --> 01:36:52,519
Speaker 2: not even talk about it anymore because it'll be so normal.

1824
01:36:53,439 --> 01:36:56,320
Speaker 3: I think, Yeah, I mean, we could have an hour

1825
01:36:56,360 --> 01:36:58,639
Speaker 3: long conversation. I just think social media is so much worse,

1826
01:36:58,680 --> 01:37:00,679
Speaker 3: but that's probably the millennial bias talking.

1827
01:37:00,720 --> 01:37:03,320
Speaker 2: Crystal could be all right, So you ready for some

1828
01:37:03,360 --> 01:37:04,439
Speaker 2: good holiday news?

1829
01:37:04,479 --> 01:37:04,679
Speaker 3: Here?

1830
01:37:04,720 --> 01:37:06,640
Speaker 2: I can put this up on the screen from CNBC

1831
01:37:07,160 --> 01:37:11,320
Speaker 2: or NBC one of the two anyway. Apparently, according to them,

1832
01:37:11,520 --> 01:37:15,920
Speaker 2: the cost of this year's Thanksgiving dinner is They describe

1833
01:37:15,920 --> 01:37:19,720
Speaker 2: it as historically affordable. So they say the cost of

1834
01:37:19,760 --> 01:37:22,640
Speaker 2: this year's holiday feast, estimated at fifty eight dollars for

1835
01:37:22,680 --> 01:37:25,120
Speaker 2: a ten percon gathering or five dollars in eighty one

1836
01:37:25,160 --> 01:37:28,680
Speaker 2: cents a head, dropped five percent since last year, and

1837
01:37:28,720 --> 01:37:32,559
Speaker 2: that is the lowest level since twenty twenty one, according

1838
01:37:32,600 --> 01:37:36,800
Speaker 2: to a nationwide survey of grocery prices. They go on

1839
01:37:36,840 --> 01:37:39,320
Speaker 2: to say, if your dollar had the same overall purchasing

1840
01:37:39,360 --> 01:37:42,200
Speaker 2: power as a consumer in nineteen eighty four, this would

1841
01:37:42,240 --> 01:37:45,720
Speaker 2: be the least expensive Thanksgiving meal in the thirty nine

1842
01:37:45,800 --> 01:37:50,559
Speaker 2: year history of this Thanksgiving serve that survey. Outside of

1843
01:37:50,640 --> 01:37:55,639
Speaker 2: the pandemic outlier of twenty twenty, Thanksgiving food prices are

1844
01:37:55,760 --> 01:38:00,120
Speaker 2: up nineteen percent since twenty nineteen. However, household wages have

1845
01:38:00,160 --> 01:38:03,080
Speaker 2: grown by about twenty five percent during the same period.

1846
01:38:03,160 --> 01:38:05,120
Speaker 2: What's more, they say, the average American also has to

1847
01:38:05,120 --> 01:38:07,400
Speaker 2: work fewer hours to buy the same meal than in

1848
01:38:07,520 --> 01:38:11,639
Speaker 2: previous years. So I'm sure Emily Trump will already take credit.

1849
01:38:11,840 --> 01:38:16,400
Speaker 2: He's already solved our economic woes, Thanksgiving is already historically affordable.

1850
01:38:16,439 --> 01:38:18,040
Speaker 2: All we had to do was vote Donald Trump back

1851
01:38:18,040 --> 01:38:18,759
Speaker 2: into office.

1852
01:38:19,160 --> 01:38:21,640
Speaker 3: I saw some people really dunking on this article on

1853
01:38:22,280 --> 01:38:25,840
Speaker 3: X this NBC claim, and there are a lot of

1854
01:38:25,840 --> 01:38:28,599
Speaker 3: other outlets who have done the same sort of look

1855
01:38:28,600 --> 01:38:31,320
Speaker 3: at the basket of goods. And it's not surprising at all, Crystal,

1856
01:38:31,360 --> 01:38:36,840
Speaker 3: because we've seen we obviously have seen inflation decreasing. But

1857
01:38:37,439 --> 01:38:40,599
Speaker 3: why it probably is getting dunked on is that as

1858
01:38:40,640 --> 01:38:44,759
Speaker 3: inflation decreases, it's not going to where it was yet

1859
01:38:45,000 --> 01:38:47,559
Speaker 3: before the pandemic, so it still feels really high to

1860
01:38:47,600 --> 01:38:50,639
Speaker 3: a lot of people. And did a survey and if

1861
01:38:50,960 --> 01:38:54,000
Speaker 3: the Linden Tree survey found that costs would be up

1862
01:38:54,120 --> 01:38:56,800
Speaker 3: nineteen percent from a year ago, So they're saying that

1863
01:38:56,840 --> 01:38:59,000
Speaker 3: costs are up. But what was interesting about this survey

1864
01:38:59,320 --> 01:39:02,640
Speaker 3: is that ask people what they plan to spend, and

1865
01:39:02,680 --> 01:39:04,439
Speaker 3: when you're just doing the kind of basket you know,

1866
01:39:04,479 --> 01:39:06,639
Speaker 3: people are like, oh this the NBC one doesn't even

1867
01:39:06,640 --> 01:39:08,759
Speaker 3: include pies, blah blah blah. So it's kind of interesting

1868
01:39:08,760 --> 01:39:10,759
Speaker 3: to look at what people say they plan to spend,

1869
01:39:12,000 --> 01:39:14,599
Speaker 3: and apparently people are if you're hosting, people say they

1870
01:39:14,600 --> 01:39:17,040
Speaker 3: plan to spend four hundred and thirty one dollars on food, drinks,

1871
01:39:17,080 --> 01:39:19,880
Speaker 3: and core foror the celebration. That's an average of two

1872
01:39:19,880 --> 01:39:23,280
Speaker 3: to sixty five just for food and drinks, and they

1873
01:39:23,280 --> 01:39:27,880
Speaker 3: expect to host on average eleven guests. So kind of interesting.

1874
01:39:27,920 --> 01:39:30,840
Speaker 3: Inflation was on the minds of sixty percent respondents sixty

1875
01:39:30,840 --> 01:39:33,160
Speaker 3: percent of respondents who said it has impacted their plans

1876
01:39:33,240 --> 01:39:36,479
Speaker 3: for celebrating the holiday, with twenty seven percent saying they'll

1877
01:39:36,560 --> 01:39:39,320
Speaker 3: change food choices, twenty six percent turning to more coupons,

1878
01:39:39,360 --> 01:39:42,000
Speaker 3: and nine percent declining to host do to costs. And

1879
01:39:42,200 --> 01:39:45,040
Speaker 3: is actually not surprising to me at all, Crystal, because honestly,

1880
01:39:45,680 --> 01:39:50,120
Speaker 3: for the media, I think it's really dangerous to write

1881
01:39:50,160 --> 01:39:53,040
Speaker 3: stories like this and then bury in the NBC report

1882
01:39:53,120 --> 01:39:54,640
Speaker 3: all the way down at the end. I mean, this

1883
01:39:54,760 --> 01:39:56,920
Speaker 3: is like at least more than halfway through the story.

1884
01:39:57,479 --> 01:40:00,840
Speaker 3: And indeed, well, Thanksgiving food prices are up ninety since

1885
01:40:00,920 --> 01:40:04,639
Speaker 3: twenty nineteen, according to the same data, our household wages

1886
01:40:04,640 --> 01:40:06,800
Speaker 3: have been growing by twenty five percent during the same period.

1887
01:40:06,800 --> 01:40:09,040
Speaker 3: It's like, that's at the end of your story.

1888
01:40:09,800 --> 01:40:13,400
Speaker 2: Well, the other thing is, you know, on average, wages

1889
01:40:13,439 --> 01:40:16,080
Speaker 2: have grown that much but you may not be one

1890
01:40:16,120 --> 01:40:18,720
Speaker 2: of those people who participated in the wage growth that

1891
01:40:18,960 --> 01:40:23,240
Speaker 2: is higher than what inflation has been. So the picture

1892
01:40:23,280 --> 01:40:26,920
Speaker 2: may be very uneven depending on where you are, and

1893
01:40:26,960 --> 01:40:29,400
Speaker 2: you know how significant these food costs are obviously to

1894
01:40:29,439 --> 01:40:31,760
Speaker 2: your overall budget. But I've to say, when I saw

1895
01:40:31,800 --> 01:40:36,080
Speaker 2: fifty eight dollars for a ten person gathering, that seems

1896
01:40:36,800 --> 01:40:40,360
Speaker 2: really like that would be difficult to achieve, you know,

1897
01:40:40,600 --> 01:40:44,559
Speaker 2: for ten people to feed them for fifty eight dollars

1898
01:40:45,200 --> 01:40:48,840
Speaker 2: if you're you know, all the traditional Thanksgiving fixings that

1899
01:40:48,880 --> 01:40:50,760
Speaker 2: you think about, like, I feel like that wouldn't even

1900
01:40:50,760 --> 01:40:54,439
Speaker 2: come close to being able to really meet the mark.

1901
01:40:54,720 --> 01:40:57,799
Speaker 2: They went through some of these different like holiday deals

1902
01:40:57,800 --> 01:41:01,080
Speaker 2: that they're having at Walmart, and I think was another

1903
01:41:01,120 --> 01:41:03,800
Speaker 2: one where they'll give you some bundle of goods, and

1904
01:41:03,840 --> 01:41:05,519
Speaker 2: I think that's part of what they built into their

1905
01:41:05,520 --> 01:41:08,840
Speaker 2: affordability calculus here. But yeah, I don't think that most people,

1906
01:41:08,840 --> 01:41:10,920
Speaker 2: if you just ask them, is this going to be

1907
01:41:11,240 --> 01:41:14,439
Speaker 2: the most affordable Thanksgiving in history? I don't think that

1908
01:41:14,479 --> 01:41:15,600
Speaker 2: they would really be feeling that.

1909
01:41:16,840 --> 01:41:19,719
Speaker 3: No, And I get why the stories get written this way,

1910
01:41:19,880 --> 01:41:21,800
Speaker 3: but you know, in them, it was it was sort

1911
01:41:21,840 --> 01:41:25,640
Speaker 3: of like the people have Trump nostalgia line that we

1912
01:41:25,680 --> 01:41:28,040
Speaker 3: heard a lot of Democrats using during the course of

1913
01:41:28,040 --> 01:41:31,720
Speaker 3: the campaign, which people didn't understand, like the It's like, well, no,

1914
01:41:31,880 --> 01:41:34,719
Speaker 3: people do understand. It's just they remember in very recent history,

1915
01:41:34,760 --> 01:41:40,160
Speaker 3: before the pandemic, when there when their financial health was better,

1916
01:41:40,400 --> 01:41:43,120
Speaker 3: and they're comparing the last several years to that. So

1917
01:41:43,200 --> 01:41:46,760
Speaker 3: inflation can come down, but it's not enough for people

1918
01:41:46,800 --> 01:41:51,240
Speaker 3: who remember the economy before all of these totally corporate

1919
01:41:51,320 --> 01:41:57,040
Speaker 3: corrupted supply chains exploded and government shut down businesses, et cetera,

1920
01:41:57,120 --> 01:41:59,479
Speaker 3: and how this ripple effect on the economy that they're

1921
01:41:59,479 --> 01:42:01,880
Speaker 3: still feeling today. It's just it's a huge part of

1922
01:42:01,920 --> 01:42:04,400
Speaker 3: the story that you know, the media will write about,

1923
01:42:04,400 --> 01:42:07,240
Speaker 3: they'll cover it, they understand it intellectually, but it doesn't

1924
01:42:07,439 --> 01:42:10,280
Speaker 3: quite penetrate the same way it does for average Americans.

1925
01:42:10,680 --> 01:42:14,200
Speaker 2: So, Emily, I wanted to ask you, what are your

1926
01:42:14,240 --> 01:42:18,400
Speaker 2: favorite Thanksgiving side dishes or main dishes? What do you

1927
01:42:18,439 --> 01:42:19,000
Speaker 2: look forward to?

1928
01:42:20,400 --> 01:42:22,960
Speaker 3: Crystal? What an insufferable.

1929
01:42:22,400 --> 01:42:26,599
Speaker 2: Question, cringe morning show.

1930
01:42:26,720 --> 01:42:30,360
Speaker 3: Thanks, We'll do it, but I'm going to call you

1931
01:42:30,400 --> 01:42:33,439
Speaker 3: out on it. I don't know. I like my potatoes

1932
01:42:33,479 --> 01:42:37,000
Speaker 3: and gravye.

1933
01:42:35,800 --> 01:42:38,559
Speaker 2: Good go to would you say pumpkin pie.

1934
01:42:38,640 --> 01:42:40,480
Speaker 3: I like a pumpkin pie person.

1935
01:42:43,080 --> 01:42:45,200
Speaker 2: I mean, I actually think I'm more of a pecan

1936
01:42:45,280 --> 01:42:48,920
Speaker 2: pie person, which even the pronunciation of which is controversial,

1937
01:42:49,680 --> 01:42:53,960
Speaker 2: Pecan versus pecan. Kyle's a pecan guy, I'm a pecan person.

1938
01:42:54,080 --> 01:42:57,759
Speaker 2: This is a source of strife in our marriage. I

1939
01:42:57,800 --> 01:43:00,840
Speaker 2: think I'd have to say so. I look, we're going

1940
01:43:00,880 --> 01:43:04,080
Speaker 2: to Kyle's family this year. We're gonna be at his

1941
01:43:04,479 --> 01:43:07,640
Speaker 2: mom's house. But the two dishes that I love the

1942
01:43:07,680 --> 01:43:10,679
Speaker 2: most are there's no offense to Kyle's mom and her cooking.

1943
01:43:10,680 --> 01:43:12,479
Speaker 2: I'm just not, as you know, I didn't grow up

1944
01:43:12,479 --> 01:43:14,600
Speaker 2: with it, so it doesn't have quite the same emotional

1945
01:43:14,640 --> 01:43:18,360
Speaker 2: resonance for me as my own mother's cooking. My mom's stuffing.

1946
01:43:18,640 --> 01:43:24,000
Speaker 2: And my sister makes this sweet potato casserole that is unbelievable.

1947
01:43:24,040 --> 01:43:27,240
Speaker 2: It's got like it's you know, so much better, so

1948
01:43:27,360 --> 01:43:30,519
Speaker 2: much brown sugar, and then the like, you know, the

1949
01:43:31,040 --> 01:43:33,320
Speaker 2: pecans on top. Oh my god, it's so good. It's

1950
01:43:33,360 --> 01:43:35,040
Speaker 2: so good. It's always the first thing to go.

1951
01:43:35,960 --> 01:43:40,799
Speaker 3: That's that's what I usually make when I'm home, and

1952
01:43:41,000 --> 01:43:46,000
Speaker 3: it's the Trisha Yearwood sweet Potato Flet recipe and it's insane.

1953
01:43:46,360 --> 01:43:49,679
Speaker 3: It's insane. It's like a it's a cake, but you're

1954
01:43:49,720 --> 01:43:51,760
Speaker 3: just like putting it on your plate basically right, so

1955
01:43:52,040 --> 01:43:53,840
Speaker 3: turkey and it's totally fine. It's a one day a

1956
01:43:53,880 --> 01:43:55,200
Speaker 3: year where it's totally fine.

1957
01:43:55,400 --> 01:43:58,439
Speaker 2: Yeah. My mom also makes a great cranberry relish that's

1958
01:43:58,479 --> 01:44:02,439
Speaker 2: like really nice and tartan, like goes perfectly with everything. Yeah,

1959
01:44:02,680 --> 01:44:05,960
Speaker 2: and it's that's like she only makes it at Thanksgiving,

1960
01:44:06,200 --> 01:44:09,320
Speaker 2: you know, so it's like you get excited for it.

1961
01:44:10,560 --> 01:44:13,240
Speaker 3: Stuffing right, like good stuff. First of all, you only

1962
01:44:13,280 --> 01:44:15,800
Speaker 3: eat stuffing on Thanksgiving, and technvelve when it's good. It's

1963
01:44:15,920 --> 01:44:16,439
Speaker 3: really good.

1964
01:44:16,960 --> 01:44:19,759
Speaker 2: Okay, but I want to normalize eating stuffing year round

1965
01:44:19,960 --> 01:44:26,679
Speaker 2: because even just the like stovetop like easy, so simple,

1966
01:44:27,560 --> 01:44:31,320
Speaker 2: low budget, and it hits like it hits, it's good.

1967
01:44:31,720 --> 01:44:34,760
Speaker 2: I think it does. You can go any time. Do

1968
01:44:34,840 --> 01:44:35,919
Speaker 2: I eat it year round?

1969
01:44:36,360 --> 01:44:36,559
Speaker 3: Yes?

1970
01:44:36,800 --> 01:44:38,360
Speaker 2: Yeah, yeah, definitely.

1971
01:44:39,120 --> 01:44:41,960
Speaker 3: This is the first person I've ever heard. I'm sure

1972
01:44:41,960 --> 01:44:44,360
Speaker 3: will be flooded with comments of people saying I do

1973
01:44:44,400 --> 01:44:47,360
Speaker 3: that too. Crystal made me feel so much more secure

1974
01:44:47,360 --> 01:44:48,040
Speaker 3: in my own skin.

1975
01:44:48,320 --> 01:44:51,439
Speaker 2: Yeah, I mean, stovetop is delicious. It's not my mom's stuffing,

1976
01:44:52,240 --> 01:44:55,479
Speaker 2: but stovetop is delicious, and if your junior wants to

1977
01:44:55,479 --> 01:44:57,479
Speaker 2: take that away from me, there will be hell to pay.

1978
01:44:58,680 --> 01:45:01,680
Speaker 3: He does, I'm sure he. I can imagine what's in

1979
01:45:01,720 --> 01:45:02,240
Speaker 3: that stuff.

1980
01:45:03,040 --> 01:45:06,200
Speaker 2: That's the other thing is like, you know, it's all

1981
01:45:06,240 --> 01:45:08,280
Speaker 2: well and good to be, like, oh, we should eat

1982
01:45:08,320 --> 01:45:11,439
Speaker 2: healthy or whatever. When you start trying to take away

1983
01:45:11,479 --> 01:45:18,040
Speaker 2: people's like free do's and you know, hosts cupcakes or whatever,

1984
01:45:18,400 --> 01:45:20,839
Speaker 2: I think there's going to be a very different reaction.

1985
01:45:20,960 --> 01:45:25,360
Speaker 2: Remember the freak out over Bluey to take away the sodas.

1986
01:45:24,720 --> 01:45:29,679
Speaker 3: Yes, take it from my cold dead hands.

1987
01:45:30,040 --> 01:45:33,880
Speaker 2: Yeah, that was a national outrage. People were furious and

1988
01:45:33,920 --> 01:45:36,080
Speaker 2: it wasn't even like you can't have soda. It was like,

1989
01:45:36,600 --> 01:45:38,760
Speaker 2: if you want to have a giant soda, you're gonna

1990
01:45:38,800 --> 01:45:42,519
Speaker 2: have to have it in multiple cups. And it was

1991
01:45:42,720 --> 01:45:46,720
Speaker 2: a pure fury across the nation. So I don't know

1992
01:45:46,720 --> 01:45:47,519
Speaker 2: if he's ready for that.

1993
01:45:48,000 --> 01:45:49,559
Speaker 3: Yeah, who else wants to take it away from you?

1994
01:45:49,640 --> 01:45:50,080
Speaker 3: Is Sager?

1995
01:45:51,600 --> 01:45:51,920
Speaker 2: True?

1996
01:45:53,200 --> 01:45:53,439
Speaker 3: True?

1997
01:45:53,479 --> 01:45:53,559
Speaker 9: No?

1998
01:45:53,720 --> 01:45:55,599
Speaker 3: I think I mentioned this story the other week. But

1999
01:45:55,640 --> 01:45:58,240
Speaker 3: when I was in London recently, my friends and I

2000
01:45:58,320 --> 01:46:01,479
Speaker 3: went and they bought like sour Patch kids or something,

2001
01:46:02,000 --> 01:46:04,360
Speaker 3: and they were really excited about it and started eating

2002
01:46:04,360 --> 01:46:06,200
Speaker 3: the Star Patrick Kids and didn't realize that you couldn't

2003
01:46:06,280 --> 01:46:08,519
Speaker 3: use like half the ingredients that you use in US

2004
01:46:08,680 --> 01:46:10,639
Speaker 3: R Patrick Kids in the UK and they spit them

2005
01:46:10,640 --> 01:46:16,280
Speaker 3: out really interesting. Yeah, so again there's some good and

2006
01:46:16,280 --> 01:46:16,639
Speaker 3: there's some.

2007
01:46:16,640 --> 01:46:22,080
Speaker 2: Bad indeed, indeed, all right, well, happy Thanksgiving to you, Emily,

2008
01:46:22,400 --> 01:46:25,400
Speaker 2: and thank you to everybody out there so much. We

2009
01:46:25,439 --> 01:46:28,400
Speaker 2: are so grateful for your continued support and trust in

2010
01:46:28,439 --> 01:46:31,559
Speaker 2: the show. And it's going to be really interesting times

2011
01:46:31,640 --> 01:46:34,040
Speaker 2: moving forward. There's not going to be any shortage certainly

2012
01:46:34,080 --> 01:46:37,840
Speaker 2: of things to talk about. So thank you guys out there,

2013
01:46:37,920 --> 01:46:40,759
Speaker 2: very grateful for you, and we will see you guys

2014
01:46:40,800 --> 01:46:41,880
Speaker 2: back here next week.